Tootfinder

Interference Between FM Cell Sites and CDMA Cell Sites
P. Kumar
https://arxiv.org/abs/2509.00567 https://arxiv.org/pdf/2509.00567

Interference Between FM Cell Sites and CDMA Cell Sites
Interference is the major problem now days in telecommunication sector. One type of interference which is very common now days is FM Cell sites interference between CDMA Cell sites. Which are the types of interference and various observations during this interference is discussed below in this paper.

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted

Generalized promotion time cure model: A new modeling framework to identify cell-type-specific genes and improve survival prognosis
Zhi Zhao, Fatih Kizilaslan, Shixiong Wang, Manuela Zucknick
https://arxiv.org/abs/2509.01001

Generalized promotion time cure model: A new modeling framework to identify cell-type-specific genes and improve survival prognosis
Single-cell technologies provide an unprecedented opportunity for dissecting the interplay between the cancer cells and the associated tumor microenvironment, and the produced high-dimensional omics data should also augment existing survival modeling approaches for identifying tumor cell type-specific genes predictive of cancer patient survival. However, there is no statistical model to integrate multiscale data including individual-level survival data, multicellular-level cell composition data…

Joint Power Control and Precoding for Cell-Free Massive MIMO Systems With Sparse Multi-Dimensional Graph Neural Networks
Yukun Ma, Jiayi Zhang, Ziheng Liu, Guowei Shi, Bo Ai
https://arxiv.org/abs/2507.01876

Joint Power Control and Precoding for Cell-Free Massive MIMO Systems With Sparse Multi-Dimensional Graph Neural Networks
Cell-free massive multiple-input multiple-output (CF mMIMO) has emerged as a prominent candidate for future networks due to its ability to significantly enhance spectral efficiency by eliminating inter-cell interference. However, its practical deployment faces considerable challenges, such as high computational complexity and the optimization of its complex processing. To address these challenges, this correspondence proposes a framework based on a sparse multi-dimensional graph neural network …

On the shape of the typical Poisson-Voronoi cell in high dimensions
Matthias Irlbeck, Zakhar Kabluchko, Tobias M\"uller
https://arxiv.org/abs/2506.02607

On the shape of the typical Poisson-Voronoi cell in high dimensions
We study the typical cell of the Poisson-Voronoi tessellation. We show that when divided by the $d$-th root of the intensity parameter $λ$ of the Poisson process times the volume of the unit ball, the inradius, outradius, diameter and mean width of the typical cell converge in probability to the constants $1/2, 1, 2, 2$ respectively, as the dimension $d\to\infty$. We also show that the width of the typical cell, when rescaled in the same way, is bounded between $2\sqrt{5}/(2+\sqrt{5})-o_d(1)$ …

Systematic Evaluation of Trade-Offs in Motion Planning Algorithms for Optimal Industrial Robotic Work Cell Design
G. de Mathelin, C. Hartl-Nesic, A. Kugi
https://arxiv.org/abs/2509.02146

Systematic Evaluation of Trade-Offs in Motion Planning Algorithms for Optimal Industrial Robotic Work Cell Design
The performance of industrial robotic work cells depends on optimizing various hyperparameters referring to the cell layout, such as robot base placement, tool placement, and kinematic design. Achieving this requires a bilevel optimization approach, where the high-level optimization adjusts these hyperparameters, and the low-level optimization computes robot motions. However, computing the optimal robot motion is computationally infeasible, introducing trade-offs in motion planning to make the …

I finally bought my wife a cell phone. Years ago she had one, but when the battery failed she didn't want one as she used the landline. Last year or so she wanted a cell phone as the screen is larger (much larger) than the cordless phone, usable contact list, voice mail that is easy to access and use and can quickly pull up a notepad or calendar.
Last week I picked up the phone for her. It was a toss-up between Samsung and Motorola. My phone is Samsung and the tablet is Samsung…

Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
Thanh Tung Khuat, Johnny Peng, Robert Bassett, Ellen Otte, Bogdan Gabrys
https://arxiv.org/abs/2509.02606

Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
This study explores the deployment of three machine learning (ML) approaches for real-time prediction of glucose, lactate, and ammonium concentrations in cell culture processes, using Raman spectroscopy as input features. The research addresses challenges associated with limited data availability and process variability, providing a comparative analysis of pretrained models, just-in-time learning (JITL), and online learning algorithms. Two industrial case studies are presented to evaluate the i…

Cell-Scale Dynamic Modeling of Membrane Interactions with Arbitrarily Shaped Particles
Didarul Ahasan Redwan, Justin Reicher, Xin Yong
https://arxiv.org/abs/2506.02376

Cell-Scale Dynamic Modeling of Membrane Interactions with Arbitrarily Shaped Particles
Modeling membrane interactions with arbitrarily shaped colloidal particles, such as environmental micro- and nanoplastics, at the cell scale remains particularly challenging, owing to the complexity of particle geometries and the need to resolve fully coupled translational and rotational dynamics. Here, we present a force-based computational framework capable of capturing dynamic interactions between deformable lipid vesicles and rigid particles of irregular shapes. Both vesicle and particle su…

Boolean-network simplification and rule fitting to unravel chemotherapy resistance in non-small cell lung cancer
Alonso Espinoza, Eric Goles, Marco Montalva-Medel
https://arxiv.org/abs/2506.02525

Boolean-network simplification and rule fitting to unravel chemotherapy resistance in non-small cell lung cancer
Boolean networks are powerful frameworks for capturing the logic of gene-regulatory circuits, yet their combinatorial explosion hampers exhaustive analyses. Here, we present a systematic reduction of a 31-node Boolean model that describes cisplatin- and pemetrexed-resistance in non-small-cell lung cancer to a compact 9-node core that exactly reproduces the original attractor landscape. The streamlined network shrinks the state space by four orders of magnitude, enabling rapid exploration of cri…

Change of bifurcation type in 2D free boundary model of a moving cell with nonlinear diffusion
Leonid Berlyand, Oleksii Krupchytskyi, Tim Laux
https://arxiv.org/abs/2506.03138

Change of bifurcation type in 2D free boundary model of a moving cell with nonlinear diffusion
We introduce a 2D free boundary problem with nonlinear diffusion that models a living cell moving on a substrate. We prove that this nonlinearity results in a qualitative of solution behavior compared to the linear diffusion case (Rybalko et al. TAMS 2023), namely the switch between direct and inverse pitchfork bifurcation. Our objectives are twofold: (i) develop a rigorous framework to prove existence of bifurcation and determining its type (subcritical vs. superctitical) and (ii) the deri…

All-optical classification of real biomedical cell images using a diffractive neural network: a simulation study
Norihide Sagami, Yueyun Weng, Cheng Lei, Ryosuke Oketani, Kotaro Hiramatsu
https://arxiv.org/abs/2509.00370

All-optical classification of real biomedical cell images using a diffractive neural network: a simulation study
We report an in-silico demonstration of an all-optical cell classification system using a single-layer diffractive neural network (DNN) optimized for real-world biomedical images. Implemented virtually with a spatial light modulator (SLM), the DNN was numerically trained via backpropagation to differentiate breast and lung cancer cells. The training utilized experimentally acquired phase and amplitude images from optofluidic time-stretch quantitative phase imaging. Classification was simulated …

Highly Efficient and Broadband Optical Delay Line towards a Quantum Memory
Yu Guo, Anindya Banerji, Jia Boon Chin, Arya Chowdhury, Alexander Ling
https://arxiv.org/abs/2509.02096

Highly Efficient and Broadband Optical Delay Line towards a Quantum Memory
We demonstrate a high-efficiency, free space optical delay line utilizing a nested multipass cell architecture. This design supports extended optical paths with low loss, aided by custom broadband dielectric coating that provides high reflectivity across a wide spectral bandwidth. The cell is characterized using polarization-entangled photon pairs, with signal photons routed through the delay line and idler photons used as timing reference. Quantum state tomography performed on the entangled pa…

Projective Delineability for Single Cell Construction
Jasper Nalbach, Lucas Michel, Erika \'Abrah\'am, Christopher W. Brown, James H. Davenport, Matthew England, Pierre Mathonet, Na\"im Z\'ena\"idi
https://arxiv.org/abs/2508.00512

Projective Delineability for Single Cell Construction
The cylindrical algebraic decomposition (CAD) is the only complete method used in practice for solving problems like quantifier elimination or SMT solving related to real algebra, despite its doubly exponential complexity. Recent exploration-guided algorithms like NLSAT, NuCAD, and CAlC rely on CAD technology but reduce the computational effort heuristically. Single cell construction is a paradigm that is used in each of these algorithms. The central property on which the CAD algorithm is bas…

The first-ever human trial exploring the use of stem cell therapy to reverse hearing loss is about to be under way,
after getting the go-ahead from the UK’s Medicines and Healthcare products Regulatory Agency.
In a nutshell, the treatment,
dubbed Rincell-1,
is intended to regrow damaged nerves in the cochlea
and allow them to start sending signals to the brain again.

Stem Cell Treatment to Reverse Hearing Loss Kicking Off in Human Patients
Researchers in the UK have received approval to conduct the first ever human trials for a stem cell treatment to reverse hearing loss.

Seaweed-Based Growth Media Could Replace Traditional Cell Culture Media in Cultivated Meat Production https://vegconomist.com/algae-microalgae-seaweed/seaweed-based-growth-media-replace-traditional-cell-…

Seaweed-Based Growth Media Could Replace Traditional Cell Culture Media in Cultivated Meat Production - vegconomist - the vegan business magazine
A new research project led by James Cook University (JCU) and the Singapore Institute of Technology (SIT) is investigating the use of seaweed as a potential

Particle-in-Cell Simulations of Burning ICF Capsule Implosions
Johannes J. van de Wetering, Justin R. Angus, W. Farmer, V. Geyko, D. Ghosh, D. Grote, C. Weber, G. Zimmerman
https://arxiv.org/abs/2506.02273

Particle-in-Cell Simulations of Burning ICF Capsule Implosions
Anomalies observed in the neutron spectral shift of high-yield shots at the National Ignition Facility (NIF) suggest the presence of suprathermal ions, implying that kinetic effects play a significant role in burning inertial confinement fusion (ICF) plasmas. Furthermore, recent measurements of reaction-in-flight (RIF) neutrons offer a direct probe of the stopping power in the burning fuel region of high energy alpha particles and up-scattered fuel ions. We have developed the particle-in-cell c…

Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition
Leire Benito-Del-Valle, Pedro A. Moreno-S\'anchez, Itziar Egusquiza, Itsaso Vitoria, Artzai Pic\'on, Cristina L\'opez-Saratxaga, Adrian Galdran
https://arxiv.org/abs/2509.02612

Is Synthetic Image Augmentation Useful for Imbalanced Classification Problems? Case-Study on the MIDOG2025 Atypical Cell Detection Competition
The MIDOG 2025 challenge extends prior work on mitotic figure detection by introducing a new Track 2 on atypical mitosis classification. This task aims to distinguish normal from atypical mitotic figures in histopathology images, a clinically relevant but highly imbalanced and cross-domain problem. We investigated two complementary backbones: (i) ConvNeXt-Small, pretrained on ImageNet, and (ii) a histopathology-specific ViT from Lunit trained via self-supervision. To address the strong prevalen…

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
Hojjat Torabi Goudarzi, Maziyar Baran Pouyan
https://arxiv.org/abs/2509.02639

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
Single-cell RNA sequencing (scRNA-seq) provides unprecedented insights into cellular heterogeneity, enabling detailed analysis of complex biological systems at single-cell resolution. However, the high dimensionality and technical noise inherent in scRNA-seq data pose significant analytical challenges. While current embedding methods focus primarily on gene expression levels, they often overlook crucial gene-gene interactions that govern cellular identity and function. To address this limitatio…

Interval-sphere model structures
Kathryn Hess, Samuel Lavenir, Kelly Maggs
https://arxiv.org/abs/2507.02382 https://arxiv.org/pdf/250…

Interval-sphere model structures
The bedrock of persistence theory over a single parameter is decomposition of persistence modules into intervals. In [HLM24], the authors leveraged interval decomposition to produce a cell decomposition of the minimal model of a simply connected copersistent space. The key tool was a technique called interval surgery, which involves the gluing of intervals to a persistent CDGA by means of algebraic cell attachments. In this article, we define a compact, combinatorial model categorical structure…

I've been following the #Meshtastic and #meshnetwork hashtags for a few months now. Cool article came out in Wired

Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings
Rong Ma, Xi Li, Jingyuan Hu, Bin Yu
https://arxiv.org/abs/2506.22228 h…

Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings
Single-cell sequencing is revolutionizing biology by enabling detailed investigations of cell-state transitions. Many biological processes unfold along continuous trajectories, yet it remains challenging to extract smooth, low-dimensional representations from inherently noisy, high-dimensional single-cell data. Neighbor embedding (NE) algorithms, such as t-SNE and UMAP, are widely used to embed high-dimensional single-cell data into low dimensions. But they often introduce undesirable distortio…

A structure-preserving and thermodynamically compatible cell-centered Lagrangian finite volume scheme for continuum mechanics
Walter Boscheri, Michael Dumbser, Raphael Loub\`ere, Pierre-Henri Maire
https://arxiv.org/abs/2506.03081

A structure-preserving and thermodynamically compatible cell-centered Lagrangian finite volume scheme for continuum mechanics
In this work we present a novel structure-preserving scheme for the discretization of the Godunov-Peshkov-Romenski (GPR) model of continuum mechanics written in Lagrangian form. This model admits an extra conservation law for the total energy (first principle of thermodynamics) and satisfies the entropy inequality (second principle of thermodynamics). Furthermore, in the absence of algebraic source terms, the distortion field of the continuum and the specific thermal impulse satisfy a curl-free…

🔍 Multifocus microscope pushes the limits of fast live 3D biological imaging
#microscope

Multifocus microscope pushes the limits of fast live 3D biological imaging
Researchers have developed a high-speed 3D imaging microscope that can capture detailed cell dynamics of an entire small whole organism at once. The ability to image 3D changes in real time over a large field of view could lead to new insights in developmental biology and neuroscience.

Rapid Single-Cell Measurement of Transient Transmembrane Water Flow under Osmotic Gradient
Hong Jiang, Jinnawat Jongkhumkrong, Y. J. Chao, Qian Wang, Guiren Wang
https://arxiv.org/abs/2508.00104

Rapid Single-Cell Measurement of Transient Transmembrane Water Flow under Osmotic Gradient
While aquaporin (AQP) gating dynamically regulates transmembrane water permeability for cellular homeostasis, its mechanisms remain poorly understood compared to ion channels. A central challenge is the lack of methods to measure water flow through AQPs with the spatiotemporal resolution and sensitivity equivalent to patch-clamp recordings of ion fluxes, a limitation stemming from the electrically silent nature of water transport. We introduce a technique to rapidly detect cytoplasmic flows ind…

This https://arxiv.org/abs/2501.13774 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A mathematical model of CAR-T cell therapy in combination with chemotherapy for malignant gliomas
We study the dynamics and interactions between combined chemotherapy and chimeric antigen receptor (CAR-T) cells therapy and malignant gliomas (MG). MG is one of the most common primary brain tumor, with high resistance to therapy and unfavorable prognosis. Here, we develop a mathematical model that describes the application of chemo- and CAR-T cell therapies and the dynamics of sensitive and resistant populations of tumor cells. This model is a five-dimensional dynamical system with impulsive …

Faster Inference of Cell Complexes from Flows via Matrix Factorization
Til Spreuer, Josef Hoppe, Michael T. Schaub
https://arxiv.org/abs/2508.21372 https://

Faster Inference of Cell Complexes from Flows via Matrix Factorization
We consider the following inference problem: Given a set of edge-flow signals observed on a graph, lift the graph to a cell complex, such that the observed edge-flow signals can be represented as a sparse combination of gradient and curl flows on the cell complex. Specifically, we aim to augment the observed graph by a set of 2-cells (polygons encircled by closed, non-intersecting paths), such that the eigenvectors of the Hodge Laplacian of the associated cell complex provide a sparse, interpre…

epiGPTope: A machine learning-based epitope generator and classifier
Natalia Flechas Manrique, Alberto Mart\'inez, Elena L\'opez-Mart\'inez, Luc Andrea, Rom\'an Orus, Aitor Manteca, Aitziber L. Cortajarena, Lloren\c{c} Espinosa-Portal\'es
https://arxiv.org/abs/2509.03351

epiGPTope: A machine learning-based epitope generator and classifier
Epitopes are short antigenic peptide sequences which are recognized by antibodies or immune cell receptors. These are central to the development of immunotherapies, vaccines, and diagnostics. However, the rational design of synthetic epitope libraries is challenging due to the large combinatorial sequence space, $20^n$ combinations for linear epitopes of n amino acids, making screening and testing unfeasible, even with high throughput experimental techniques. In this study, we present a large l…

An Integrated Lab on a CD Microfluidic Platform for High-Efficiency Blood Cell Separation and Passive Mixing
Reza Lotfi Navaei, Haniyeh Tehrani
https://arxiv.org/abs/2507.01977

An Integrated Lab on a CD Microfluidic Platform for High-Efficiency Blood Cell Separation and Passive Mixing
Blood accounts for 7-8% of total body weight, with an average adult containing 4.5 to 6 quarts. It delivers oxygen and nutrients to cells, removes waste products, supports immunity, and regulates body temperature. Comprising over 4,000 components, including plasma, platelets, erythrocytes, and leukocytes, blood presents a challenge for isolating specific cell types due to its heterogeneity. In autologous therapies, target cells may be as rare as one per million background cells. This study pres…

Fluid Aerial Networks: UAV Rotation for Inter-Cell Interference Mitigation
Enzhi Zhou, Yue Xiao, Ziyue Liu, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, George K. Karagiannidis
https://arxiv.org/abs/2507.01289

Fluid Aerial Networks: UAV Rotation for Inter-Cell Interference Mitigation
With the rapid development of aerial infrastructure, unmanned aerial vehicles (UAVs) that function as aerial base stations (ABSs) extend terrestrial network services into the sky, enabling on-demand connectivity and enhancing emergency communication capabilities in cellular networks by leveraging the flexibility and mobility of UAVs. In such a UAV-assisted network, this paper investigates position-based beamforming between ABSs and ground users (GUs). To mitigate inter-cell interference, we pro…

The algebraic small object argument as a saturation
Evan Cavallo, Christian Sattler
https://arxiv.org/abs/2506.02759 https://arxiv.or…

The algebraic small object argument as a saturation
We analyze the structure of left maps in algebraic weak factorization systems constructed using Garner's algebraic small object argument. We find that any left map can be constructed from generators in Bourke and Garner's double category of left maps by operations that parallel the classical cell-complex-forming operations of Quillen's small object argument (coproducts, cobase changes, transfinite composites, and retracts). Our main theorems are phrased as "saturation" principles, which express…

The UK's obligatory inshore fishing vessel position reporting system (I-VMS) appears to have launched without one of the suppliers having a finalised contract. So they just stopped relaying the data.
(It's not like AIS - it batches up positional data and relays via cell-towers when in range.)
https://www.

I-VMS Urgent Update
The Marine Management Organisation (MMO) is aware that Succorfish is no longer transmitting I-VMS data to the UK VMS Hub. This is preventing MMO from receiving positional data from under-12m vessels using Succorfish type-approved devices.

Long post, game design
Crungle is a game designed to be a simple test of general reasoning skills that's difficult to play by rote memory, since there are many possible rule sets, but it should be easy to play if one can understand and extrapolate from rules. The game is not necessarily fair, with the first player often having an advantage or a forced win. The game is entirely deterministic, although a variant determines the rule set randomly.
This is version 0.1, and has not yet been tested at all.
Crungle is a competitive game for two players, each of whom controls a single piece on a 3x3 grid. The cells of the grid are numbered from 1 to 9, starting at the top left and proceeding across each row and then down to the next row, so the top three cells are 1, 2, and 3 from left to right, then the next three are 4, 5, and 6 and the final row is cells 7, 8, and 9.
The two players decide who shall play as purple and who shall play as orange. Purple goes first, starting the rules phase by picking one goal rule from the table of goal rules. Next, orange picks a goal rule. These two goal rules determine the two winning conditions. Then each player, starting with orange, alternate picking a movement rule until four movement rules have been selected. During this process, at most one indirect movement rule may be selected. Finally, purple picks a starting location for orange (1-9), with 5 (the center) not allowed. Then orange picks the starting location for purple, which may not be adjacent to orange's starting position.
Alternatively, the goal rules, movement rules, and starting positions may be determined randomly, or a pre-determined ruleset may be selected.
If the ruleset makes it impossible to win, the players should agree to a draw. Either player could instead "bet" their opponent. If the opponent agrees to the bet, the opponent must demonstrate a series of moves by both players that would result in a win for either player. If they can do this, they win, but if they submit an invalid demonstration or cannot submit a demonstration, the player who "bet" wins.
Now that starting positions, movement rules, and goals have been decided, the play phase proceeds with each player taking a turn, starting with purple, until one player wins by satisfying one of the two goals, or until the players agree to a draw. Note that it's possible for both players to occupy the same space.
During each player's turn, that player identifies one of the four movement rules to use and names the square they move to using that rule, then they move their piece into that square and their turn ends. Neither player may use the same movement rule twice in a row (but it's okay to use the same rule your opponent just did unless another rule disallows that). If the movement rule a player picks moves their opponent's piece, they need to state where their opponent's piece ends up. Pieces that would move off the board instead stay in place; it's okay to select a rule that causes your piece to stay in place because of this rule. However, if a rule says "pick a square" or "move to a square" with some additional criteria, but there are no squares that meet those criteria, then that rule may not be used, and a player who picks that rule must pick a different one instead.
Any player who incorrectly states a destination for either their piece or their opponent's piece, picks an invalid square, or chooses an invalid rule has made a violation, as long as their opponent objects before selecting their next move. A player who makes at least three violations immediately forfeits and their opponent wins by default. However, if a player violates a rule but their opponent does not object before picking their next move, the stated destination(s) of the invalid move still stand, and the violation does not count. If a player objects to a valid move, their objection is ignored, and if they do this at least three times, they forfeit and their opponent wins by default.
Goal rules (each player picks one; either player can win using either chosen rule):
End your turn in the same space as your opponent three turns in a row.
End at least one turn in each of the 9 cells.
End five consecutive turns in the three cells in any single row, ending at least one turn on each of the three.
End five consecutive turns in the three cells in any single column, ending at least one turn on each of the three.
Within the span of 8 consecutive turns, end at least one turn in each of cells 1, 3, 7, and 9 (the four corners of the grid).
Within the span of 8 consecutive turns at least one turn in each of cells 2, 4, 6, and 8 (the central cells on each side).
Within the span of 8 consecutive turns, end at least one turn in the cell directly above your opponent, and end at least one turn in the cell directly below your opponent (in either order).
Within the span of 8 consecutive turns at least one turn in the cell directly to the left of your opponent, and end at least one turn in the cell directly to the right of your opponent (in either order).
End 12 turns in a row without ending any of them in cell 5.
End 8 turns in a row in 8 different cells.
Movement rules (each player picks two; either player may move using any of the four):
Move to any cell on the board that's diagonally adjacent to your current position.
Move to any cell on the board that's orthogonally adjacent to your current position.
Move up one cell. Also move your opponent up one cell.
Move down one cell. Also move your opponent down one cell.
Move left one cell. Also move your opponent left one cell.
Move right one cell. Also move your opponent right one cell.
Move up one cell. Move your opponent down one cell.
Move down one cell. Move your opponent up one cell.
Move left one cell. Move your opponent right one cell.
Move right one cell. Move your opponent left one cell.
Move any pieces that aren't in square 5 clockwise around the edge of the board 1 step (for example, from 1 to 2 or 3 to 6 or 9 to 8).
Move any pieces that aren't in square 5 counter-clockwise around the edge of the board 1 step (for example, from 1 to 4 or 6 to 3 or 7 to 8).
Move to any square reachable from your current position by a knight's move in chess (in other words, a square that's in an adjacent column and two rows up or down, or that's in an adjacent row and two columns left or right).
Stay in the same place.
Swap places with your opponent's piece.
Move back to the position that you started at on your previous turn.
If you are on an odd-numbered square, move to any other odd-numbered square. Otherwise, move to any even-numbered square.
Move to any square in the same column as your current position.
Move to any square in the same row as your current position.
Move to any square in the same column as your opponent's position.
Move to any square in the same row as your opponent's position.
Pick a square that's neither in the same row as your piece nor in the same row as your opponent's piece. Move to that square.
Pick a square that's neither in the same column as your piece nor in the same column as your opponent's piece. Move to that square.
Move to one of the squares orthogonally adjacent to your opponent's piece.
Move to one of the squares diagonally adjacent to your opponent's piece.
Move to the square opposite your current position across the middle square, or stay in place if you're in the middle square.
Pick any square that's closer to your opponent's piece than the square you're in now, measured using straight-line distance between square centers (this includes the square your opponent is in). Move to that square.
Pick any square that's further from your opponent's piece than the square you're in now, measured using straight-line distance between square centers. Move to that square.
If you are on a corner square (1, 3, 7, or 9) move to any other corner square. Otherwise, move to square 5.
If you are on an edge square (2, 4, 6, or 8) move to any other edge square. Otherwise, move to square 5.
Indirect movement rules (may be chosen instead of a direct movement rule; at most one per game):
Move using one of the other three movement rules selected in your game, and in addition, your opponent may not use that rule on their next turn (nor may they select it via an indirect rule like this one).
Select two of the other three movement rules, declare them, and then move as if you had used one and then the other, applying any additional effects of both rules in order.
Move using one of the other three movement rules selected in your game, but if the move would cause your piece to move off the board, instead of staying in place move to square 5 (in the middle).
Pick one of the other three movement rules selected in your game and apply it, but move your opponent's piece instead of your own piece. If that movement rule says to move "your opponent's piece," instead apply that movement to your own piece. References to "your position" and "your opponent's position" are swapped when applying the chosen rule, as are references to "your turn" and "your opponent's turn" and do on.
#Game #GameDesign

A 10-bit S-box generated by Feistel construction from cellular automata
Thomas Pr\'evost (I3S), Bruno Martin (I3S)
https://arxiv.org/abs/2507.02489 htt…

A 10-bit S-box generated by Feistel construction from cellular automata
We propose a new 10-bit S-box generated from a Feistel construction. The subpermutations are generated by a 5-cell cellular automaton based on a unique well-chosen rule and bijective affine transformations. In particular, the cellular automaton rule is chosen based on empirical tests of its ability to generate good pseudorandom output on a ring cellular automaton. Similarly, Feistel's network layout is based on empirical data regarding the quality of the output S-box. We perform cryptanalysis o…

Immunometabolism at the Crossroads of Infection: Mechanistic and Systems-Level Perspectives from Host and Pathogen
Sunayana Malla, Nabia Shahreen, Rajib Saha
https://arxiv.org/abs/2506.02236

Immunometabolism at the Crossroads of Infection: Mechanistic and Systems-Level Perspectives from Host and Pathogen
The emerging field of immunometabolism has underscored the central role of metabolic pathways in orchestrating immune cell function. Far from being passive background processes, metabolic activities actively regulate key immune responses. Fundamental pathways such as glycolysis, the tricarboxylic acid (TCA) cycle, and oxidative phosphorylation critically shape the behavior of immune cells, influencing macrophage polarization, T cell activation, and dendritic cell function. In this review, we sy…

About 9 million years ago, a natural inbreeding in the wild between tomato plants and a potato-like plant species in present-day South America gave way to what we know as the potato.
This new (and nutritious) plant arose from an evolutionary event that triggered the formation of the tuber–the underground structure that plants like potatoes, yams, and taros use to store food.
The findings are detailed in a study published July 31 in the journal Cell.

How the tomato created the potato
The starchy staple evolved from the tomato about 9 million years ago.

Cellular, Cell-less, and Everything in Between: A Unified Framework for Utility Region Analysis in Wireless Networks
Renato Luis Garrido Cavalcante, Tomasz Piotrowski, Slawomir Stanczak
https://arxiv.org/abs/2507.23707

Cellular, Cell-less, and Everything in Between: A Unified Framework for Utility Region Analysis in Wireless Networks
We introduce a unified framework for analyzing utility regions of wireless networks, with a focus on the signal-to-interference-noise-ratio (SINR) and achievable rate regions. The framework provides valuable insights into interference patterns of modern network architectures, such as cell-less and extremely large MIMO networks, and it generalizes existing characterizations of the weak Pareto boundary. A central contribution is the derivation of sufficient conditions that guarantee convexity of …

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Dani\"el Boeke, Cedrik Blommestijn, Rebecca N. Wray, Kalina Chupetlovska, Shangqi Gao, Zeyu Gao, Regina G. H. Beets-Tan, Mireia Crispin-Ortuzar, James O. Jones, Wilson Silva, Ines P. Machado
https://arxiv.org/abs/2508.21581

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Recurrence risk estimation in clear cell renal cell carcinoma (ccRCC) is essential for guiding postoperative surveillance and treatment. The Leibovich score remains widely used for stratifying distant recurrence risk but offers limited patient-level resolution and excludes imaging information. This study evaluates multimodal recurrence prediction by integrating preoperative computed tomography (CT) and postoperative histopathology whole-slide images (WSIs). A modular deep learning framework wit…

High-resolution spatial memory requires grid-cell-like neural codes
Madison Cotteret, Christopher J. Kymn, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca, Friedrich T. Sommer
https://arxiv.org/abs/2507.00598

High-resolution spatial memory requires grid-cell-like neural codes
Continuous attractor networks (CANs) are widely used to model how the brain temporarily retains continuous behavioural variables via persistent recurrent activity, such as an animal's position in an environment. However, this memory mechanism is very sensitive to even small imperfections, such as noise or heterogeneity, which are both common in biological systems. Previous work has shown that discretising the continuum into a finite set of discrete attractor states provides robustness to these …

Privacy is not a fool's game. If you give up today everything you did will be lost...
There is always a way or there will be soon.
#privacy

🇺🇦 Auf #radioeins läuft...
Soft Cell:
🎵 Tainted Love
#NowPlaying #SoftCell
https://djaf.bandcamp.com/track/soft-cell-tainted-love-djaf-remix
https://open.spotify.com/track/0cGG2EouYCEEC3xfa0tDFV

Symport/Antiport P Systems with Membrane Separation Characterize P^(#P)
Vivien Ducros, Claudio Zandron
https://arxiv.org/abs/2507.01657

Symport/Antiport P Systems with Membrane Separation Characterize P^(#P)
Membrane systems represent a computational model that operates in a distributed and parallel manner, inspired by the behavior of biological cells. These systems feature objects that transform within a nested membrane structure. This research concentrates on a specific type of these systems, based on cellular symport/antiport communication of chemicals. Results in the literature show that systems of this type that also allow cell division can solve PSPACE problems. In our study, we investigate…

TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity
Danish Mahmood, Stephanie Buczkowski, Sahaj Shah, Autumn Anthony, Rohini Desetty, Carlo R Bartoli
https://arxiv.org/abs/2507.02024

TubuleTracker: a high-fidelity shareware software to quantify angiogenesis architecture and maturity
Background: In vitro endothelial cell culture is widely used to study angiogenesis. Histomicrographic images of cell networks are often analyzed manually, a process that is time-consuming and subjective. Automated tools like ImageJ (NIH) can assist, but are often slow and inaccurate. Additionally, as endothelial networks grow more complex, traditional architectural metrics may not fully reflect network maturity. To address these limitations, we developed tubuleTracker, a software tool that quan…

This https://arxiv.org/abs/2505.14806 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Place Cells as Position Embeddings of Multi-Time Random Walk Transition Kernels for Path Planning
The hippocampus orchestrates spatial navigation through collective place cell encodings that form cognitive maps. We reconceptualize the population of place cells as position embeddings approximating multi-scale symmetric random walk transition kernels: the inner product $\langle h(x, t), h(y, t) \rangle = q(y|x, t)$ represents normalized transition probabilities, where $h(x, t)$ is the embedding at location $ x $, and $q(y|x, t)$ is the normalized symmetric transition probability ove…

🧬 Scrambled RNA nudges millions of people towards type 2 diabetes, research reveals
https://medicalxpress.com/news/2025-08-scrambled-rna-nudges-millions-people.html

Scrambled RNA nudges millions of people towards type 2 diabetes, research reveals
Mutations in a single gene, HNF1A, are known to cause MODY3, a rare, early-onset form of diabetes. Smaller-scale mutations in the very same gene are also common and quietly nudge millions of people toward type 2 diabetes. A study published in Cell Metabolism reveals why.

Rigid body rotation and chiral reorientation combine in filamentous E. coli swimming in low-Re flows
Richard Z. DeCurtis, Yongtae Ahn, Jane Hill, Sara M. Hashmi
https://arxiv.org/abs/2508.00779

Rigid body rotation and chiral reorientation combine in filamentous E. coli swimming in low-Re flows
Antibiotic doses below a minimum inhibitory concentration turn off bacteria cell division, but not cell growth. As a result, rod-like bacteria including E. coli can elongate many times their original length without increasing their width. The swimming behavior of these filamentous bacteria through small channels may provide insights into how antibiotic-resistant bacteria swim to channel walls. Such swimming behaviors in settings like hospital tubing may facilitate adhesion, biofilm formation an…

Neues von den Orkas: Sie benutzen und basteln sich Werkzeuge.
https://www.cell.com/current-biology/fulltext/S0960-9822(25)00450-6?ref=404media.co

Control of Covalent Bond Enables Efficient Magnetic Cooling
Xin Tang, Yoshio Miura, Noriki Terada, Enda Xiao, Shintaro Kobayashi, Allan Doring, Terumasa Tadano, Andres Martin-Cid, Takuo Ohkochi, Shogo Kawaguchi, Yoshitaka Matsushita, Tadakatsu Ohkubo, Tetsuya Nakamura, Konstantin Skokov, Oliver Gutfleisch, Kazuhiro Hono, Hossein Sepehri-Amin
https://

Control of Covalent Bond Enables Efficient Magnetic Cooling
Magnetic cooling, harnessing the temperature change in matter when exposed to a magnetic field, presents an energy-efficient and climate-friendly alternative to traditional vapor-compression refrigeration systems, with a significantly lower global warming potential. The advancement of this technology would be accelerated if irreversible losses arising from hysteresis in magnetocaloric materials were minimized. Despite extensive efforts to manipulate crystal lattice constants at the unit-cell le…

Downregulation of aquaporin 3 promotes hyperosmolarity-induced apoptosis of nucleus pulposus cells through PI3K/Akt/mTOR pathway suppression
Yuan Sang, Huiqing Zhao, Jiajun Wu, Ting Zhang, Wenbin Xu, Hui Yao, Kaihua Liu, Chang Liu, Junbin Zhang, Ping Li, Depeng Wu, Yichun Xu, Jianying Zhang, Gang Hou
https://arxiv.org/abs/2507.0…

Downregulation of aquaporin 3 promotes hyperosmolarity-induced apoptosis of nucleus pulposus cells through PI3K/Akt/mTOR pathway suppression
Hyperosmolarity is a key contributor to nucleus pulposus cell (NPC) apoptosis during intervertebral disc degeneration (IVDD). Aquaporin 3 (AQP3), a membrane channel protein, regulates cellular osmotic balance by transporting water and osmolytes. Although AQP3 downregulation is associated with disc degeneration, its role in apoptosis under hyperosmotic conditions remains unclear. Here, we demonstrate that hyperosmolarity induces AQP3 depletion, suppresses the PI3K/AKT/mTOR signaling pathway, and…

Stateful Logic In-Memory Using Gain-Cell eDRAM
Barak Hoffer, Shahar Kvatinsky
https://arxiv.org/abs/2506.23185 https://arxiv.org/pdf/…

Stateful Logic In-Memory Using Gain-Cell eDRAM
Modern data-intensive applications demand memory solutions that deliver high-density, low-power, and integrated computational capabilities to reduce data movement overhead. This paper presents the use of Gain-Cell embedded DRAM (GC-eDRAM) - a compelling alternative to traditional SRAM and eDRAM - for stateful, in-memory logic. We propose a circuit design that exploits GC-eDRAM's dual-port architecture and nondestructive read operation to perform logic functions directly within the GC-eDRAM memo…

Integrating nano- and micrometer-scale energy deposition models for mechanistic prediction of radiation-induced DNA damage and cell survival
Giulio Bordieri, Marta Missiggia, Gianluca Lattanzi, Carmen Villagrasa, Yann Perrot, Francesco G. Cordoni
https://arxiv.org/abs/2507.00929

Integrating nano- and micrometer-scale energy deposition models for mechanistic prediction of radiation-induced DNA damage and cell survival
We present an integrated modeling framework that combines the Generalized Stochastic Microdosimetric Model (GSM2), used to predict cell survival fractions, with MINAS-TIRITH, a fast and efficient Geant4 DNA-based tool for simulating radiation-induced DNA damage in cell populations. This approach enables the generation of spatially and structurally resolved double-strand break (DSB) distributions, capturing key features such as damage complexity and chromosome specificity. A novel application of…

"Each #prisoner is allowed 20 floppy disks, but flash drives are verboten."

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
Jordan Brook, Hamish McGowan, Matt Mason, Joshua Soderholm, Alain Protat
https://arxiv.org/abs/2509.02929

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
We present the Australian Identification, Nowcasting and Tracking (AINT) algorithm, a radar-based system for detecting, characterising, and archiving thunderstorm activity across the Australian continent. AINT employs a two-step hysteresis-based identification scheme to separate embedded convective cells, followed by a phase-correlation and optimisation framework for storm tracking and cell matching. Post-processing routines address challenges of ground clutter using clustering and topography-a…

Trump Organization scrubs the Trump Mobile site of language indicating the T1 Phone phone is to be made in the US, now says it is "brought to life" in the US (Anthony Robledo/USA Today)
https://www.usatoday.com/story/tech/2025/06/25/trump-cel…

Trump Mobile reiterates claims that new phones are 'made in America'
President Donald Trump's newly launched cellular service is defending its claims that its T1 cellphones are made in the U.S.

Who has ridden the California Zephyr recently? It’s been many years for me. I know there is no Wi-Fi but curious if there’s decent cell service, particularly interested between Emeryville and Grand Junction. Or if there are particular zones that are no service at all. Not interested in being on my phone but like to give a heads up to a couple of family members when I will not be reachable at all so they don’t worry.

The Growing Impact of Unintended Starlink Broadband Emission on Radio Astronomy in the SKA-Low Frequency Range
Dylan Grigg, Steven Tingay, Marcin Sokolowski
#toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #Early
Soft Cell:
🎵 Say Hello, Wave Goodbye
#SoftCell
https://nightingaleexperience.bandcamp.com/track/cover-of-soft-cell-say-hello-wave-goodbye
https://open.spotify.com/track/0Lx6O1tC3CPF1giLJIt5Jv

This https://arxiv.org/abs/2408.03984 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Fractionalization as an alternate to charge ordering in electronic insulators
Incompressible insulating phases of electronic systems at partial filling of a lattice are often associated with charge ordering that breaks lattice symmetry. The resulting phases have an enlarged unit cell with an effective integer filling. Here we explore the possibility of insulating states - which we dub "Quantum Charge Liquids" (QCL) - at partial lattice filling that preserve lattice translation symmetry. Such QCL phases must necessarily either have gapped fractionally charged excitations …

Electric Field Induced Superconductivity in Bilayer Octagraphene
Yitong Yao, Jun Li, Jiacheng Ye, Fan Yang, Dao-Xin Yao
https://arxiv.org/abs/2507.02830 ht…

Electric Field Induced Superconductivity in Bilayer Octagraphene
We investigate the energy bands, magnetism, and superconductivity of bilayer octagraphene with A-A stacking under a perpendicular electric field. A tight-binding model is used to analyze the band structure of the system. The doubling of the unit cell results in each band of the single layer splitting into two. We find that applying a perpendicular electric field increases the band splitting. As the electric field strength increases, the nesting of the Fermi Surface(FS) weakens, eventually disru…

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration
Charalampos Kalalas, Pavol Mulinka, Guillermo Candela Belmonte, Miguel Fornell, Michail Dalgitsis, Francisco Paredes Vera, Javier Santaella S\'anchez, Carmen Vicente Villares, Roshan Sedar, Eftychia Datsika, Angelos Antonopoulos, Antonio Fern\'andez Ojea, Miquel Payaro

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration
Artificial intelligence (AI) has been increasingly applied to the condition monitoring of vehicular equipment, aiming to enhance maintenance strategies, reduce costs, and improve safety. Leveraging the edge computing paradigm, AI-based condition monitoring systems process vast streams of vehicular data to detect anomalies and optimize operational performance. In this work, we introduce a novel vehicle condition monitoring service that enables real-time diagnostics of a diverse set of anomalies …

Simulation-based inference of yeast centromeres
Elo\"ise Touron, Pedro L. C. Rodrigues, Julyan Arbel, Nelle Varoquaux, Michael Arbel
https://arxiv.org/abs/2509.00200 https:…

Simulation-based inference of yeast centromeres
The chromatin folding and the spatial arrangement of chromosomes in the cell play a crucial role in DNA replication and genes expression. An improper chromatin folding could lead to malfunctions and, over time, diseases. For eukaryotes, centromeres are essential for proper chromosome segregation and folding. Despite extensive research using de novo sequencing of genomes and annotation analysis, centromere locations in yeasts remain difficult to infer and are still unknown in most species. Recen…

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted

Physics-Informed Machine Learning with Adaptive Grids for Optical Microrobot Depth Estimation
Lan Wei, Lou Genoud, Dandan Zhang
https://arxiv.org/abs/2509.02343 https://

Physics-Informed Machine Learning with Adaptive Grids for Optical Microrobot Depth Estimation
Optical microrobots actuated by optical tweezers (OT) offer great potential for biomedical applications such as cell manipulation and microscale assembly. These tasks demand accurate three-dimensional perception to ensure precise control in complex and dynamic biological environments. However, the transparent nature of microrobots and low-contrast microscopic imaging challenge conventional deep learning methods, which also require large annotated datasets that are costly to obtain. To address t…

Cell-Free Massive MIMO SWIPT with Beyond Diagonal Reconfigurable Intelligent Surfaces
Duc Thien Hua, Mohammadali Mohammadi, Hien Quoc Ngo, Michail Matthaiou
https://arxiv.org/abs/2507.23702

Cell-Free Massive MIMO SWIPT with Beyond Diagonal Reconfigurable Intelligent Surfaces
We investigate the integration of beyond diagonal reconfigurable intelligent surfaces (BDRISs) into cell free massive multiple input multiple output (CFmMIMO) systems to enhance simultaneous wireless information and power transfer (SWIPT). To simultaneously support two groups of users energy receivers (ERs) and information receivers (IRs) without sacrificing time frequency resources, a subset of access points (APs) is dedicated to serving ERs with the aid of a BDRIS, while the remaining APs foc…

Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge
Biwen Meng, Xi Long, Jingxin Liu
https://arxiv.org/abs/2509.02640 https://

Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge
Atypical mitotic figures (AMFs) are clinically relevant indicators of abnormal cell division, yet their reliable detection remains challenging due to morphological ambiguity and scanner variability. In this work, we investigated three variants of adapting the pathology foundation model UNI2-h for the MIDOG2025 Track 2 challenge. Starting from a LoRA-based baseline, we found that visual prompt tuning (VPT) substantially improved generalization, and that further integrating test-time augmentation…

When Blood Parts Ways: Phase Separation in Microstructured Environments
Sampad Laha, Ananta Kumar Nayak, Alexander Farutin, Suman Chakraborty, Chaouqi Misbah
https://arxiv.org/abs/2509.01408

When Blood Parts Ways: Phase Separation in Microstructured Environments
Understanding how red blood cell (RBC) suspensions navigate porous materials is critical for for both fundamental physiology, such as maternal-fetal exchange in the placenta, and transformative biomedical applications, including rapid, low-cost disease diagnostics from a single drop of blood in resource-constrained settings. Here we elucidate how RBC movement through fibrous microporous structures is influenced by cell aggregation agents, emphasizing the impact of their clustering, membrane fle…

Green One-Bit Quantized Precoding in Cell-Free Massive MIMO
Salih G\"um\"usbu\u{g}a, Ozan Alp Topal, \"Ozlem Tu\u{g}fe Demir
https://arxiv.org/abs/2507.22400 http…

Green One-Bit Quantized Precoding in Cell-Free Massive MIMO
Cell-free massive MIMO (multiple-input multiple-output) is expected to be one of the key technologies in sixth-generation (6G) and beyond wireless communications, offering enhanced spectral efficiency for cell-edge user equipments by employing joint transmission and reception with a large number of antennas distributed throughout the region. However, high-resolution RF chains associated with these antennas significantly increase power consumption. To address this issue, the use of low-resolutio…

Mixtures of Neural Network Experts with Application to Phytoplankton Flow Cytometry Data
Ethan Pawl, Fran\c{c}ois Ribalet, Paul A. Parker, Sangwon Hyun
https://arxiv.org/abs/2507.01375

Mixtures of Neural Network Experts with Application to Phytoplankton Flow Cytometry Data
Flow cytometry is a valuable technique that measures the optical properties of particles at a single-cell resolution. When deployed in the ocean, flow cytometry allows oceanographers to study different types of photosynthetic microbes called phytoplankton. It is of great interest to study how phytoplankton properties change in response to environmental conditions. In our work, we develop a nonlinear mixture of experts model for simultaneous clustering and regression utilizing random-weight neur…

Design and Analysis of Plasmonic-Nanorod-Enhanced Lead-Free Inorganic Perovskite/Silicon Heterojunction Tandem Solar Cell Exceeding the Shockley-Queisser Limit
Md. Sad Abdullah Sami, Arpan Sur, Ehsanur Rahman
https://arxiv.org/abs/2507.22803

Design and Analysis of Plasmonic-Nanorod-Enhanced Lead-Free Inorganic Perovskite/Silicon Heterojunction Tandem Solar Cell Exceeding the Shockley-Queisser Limit
The pursuit of sustainable and highly efficient energy conversion necessitates a transition from toxic and unstable materials to environmentally friendly alternatives. This work presents a simulation-based numerical investigation of a fully inorganic, lead-free tandem solar cell that employs cesium tin-germanium tri-iodide (CsSnGeI3) as the top cell absorber and crystalline silicon (c-Si) as the bottom cell absorber, configured in a silicon heterojunction (SHJ) arrangement. Utilizing CsSnGeI3 a…

A modified Crank-Nicolson scheme for the Vlasov-Poisson system with a strong external magnetic field
Francis Filbet (UT, IMT), L Miguel Rodrigues (IRMAR), Kim Han Trinh (IRMAR)
https://arxiv.org/abs/2507.02459

A modified Crank-Nicolson scheme for the Vlasov-Poisson system with a strong external magnetic field
We propose and study a Particle-In-Cell (PIC) method based on the Crank-Nicolson time discretization for the Vlasov-Poisson system with a strong and inhomogeneous external magnetic field with fixed direction, where we focus on the motion of particles in the plane orthogonal to the magnetic field (so-called poloidal directions). In this regime, the time step can be subject to stability constraints related to the smallness of Larmor radius and plasma frequency [21]. To avoid this limitation, our …

Cell-Probe Lower Bounds via Semi-Random CSP Refutation: Simplified and the Odd-Locality Case
Venkatesan Guruswami, Xin Lyu, Weiqiang Yuan
https://arxiv.org/abs/2507.22265 https:…

Cell-Probe Lower Bounds via Semi-Random CSP Refutation: Simplified and the Odd-Locality Case
A recent work (Korten, Pitassi, and Impagliazzo, FOCS 2025) established an insightful connection between static data structure lower bounds, range avoidance of $\text{NC}^0$ circuits, and the refutation of pseudorandom CSP instances, leading to improvements to some longstanding lower bounds in the cell-probe/bit-probe models. Here, we improve these lower bounds in certain cases via a more streamlined reduction to XOR refutation, coupled with handling the odd-arity case. Our result can be viewed…

Flexibility versus genericity of phase diagrams of perturbed continuous maps on the Cantor set
Hugo Marsan, Mathieu Sablik
https://arxiv.org/abs/2508.00461 https://

Flexibility versus genericity of phase diagrams of perturbed continuous maps on the Cantor set
Consider the dynamical system constitued by a continuous function $F:\mathcal{A}^\mathbb{N}\to\mathcal{A}^\mathbb{N}$ where $\mathcal{A}$ is a finite alphabet. The perturbed counterpart, denoted by $F_ε$, is obtained after each iteration of $F$ by modifying each cell independently with probability $ε\in[0,1]$ and choosing the new value uniformly. We characterize the possible sets of $ε\in[0,1]$ such that $F_ε$ has a unique measure. These sets are exactly the $G_δ$ sets (countable intersect…

EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
Mikolaj Walczak, Romina Aalishah, Wyatt Mackey, Brittany Story, David L. Boothe Jr., Nicholas Waytowich, Xiaomin Lin, Tinoosh Mohsenin
https://arxiv.org/abs/2506.03046

EDEN: Entorhinal Driven Egocentric Navigation Toward Robotic Deployment
Deep reinforcement learning agents are often fragile while humans remain adaptive and flexible to varying scenarios. To bridge this gap, we present EDEN, a biologically inspired navigation framework that integrates learned entorhinal-like grid cell representations and reinforcement learning to enable autonomous navigation. Inspired by the mammalian entorhinal-hippocampal system, EDEN allows agents to perform path integration and vector-based navigation using visual and motion sensor data. At th…

Orthotropic Viscoelastic Creep in Cellular Scaffolds
Alessia Ferrara, Falk K. Wittel
https://arxiv.org/abs/2507.01071 https://arxiv.org/pdf/2507.01071

Intrinsic local Gauss's law preserving PIC method: A self-consistent field-particle update scheme for plasma simulations
Zhonghua Qiao, Zhenli Xu, Qian Yin, Shenggao Zhou
https://arxiv.org/abs/2506.02407

Intrinsic local Gauss's law preserving PIC method: A self-consistent field-particle update scheme for plasma simulations
In order to perform physically faithful particle-in-cell (PIC) simulations, the Gauss's law stands as a critical requirement, since its violation often leads to catastrophic errors in long-term plasma simulations. This work proposes a novel method that intrinsically enforces the Gauss's law for the Vlasov-Ampère/Vlasov-Poisson system without requiring auxiliary field corrections or specialized current deposition techniques. The electric field is managed to get updated locally and consistently …

This https://arxiv.org/abs/2411.11190 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
Splenomegaly, the enlargement of the spleen, is an important clinical indicator for various associated medical conditions, such as sickle cell disease (SCD). Spleen length measured from 2D ultrasound is the most widely used metric for characterising spleen size. However, it is still considered a surrogate measure, and spleen volume remains the gold standard for assessing spleen size. Accurate spleen volume measurement typically requires 3D imaging modalities, such as computed tomography or magn…

CARTEpigenoQC: A Quality Control Toolkit for CAR-T Single-Cell Epigenomic Data
Kaitao Lai
https://arxiv.org/abs/2507.23048 https://arxiv.org/pdf/2507.23048…

CARTEpigenoQC: A Quality Control Toolkit for CAR-T Single-Cell Epigenomic Data
CARTEpigenoQC is an R-based toolkit designed to streamline quality control (QC) for single-cell epigenomic datasets involving Chimeric Antigen Receptor (CAR)-engineered T cells. With the growing application of scATAC-seq, scCUT&Tag, and scBS-seq to characterize CAR-T cell states, it has become critical to perform customized QC that not only addresses standard metrics like FRiP (Fraction of Reads in Peaks) and TSS enrichment, but also directly detects signal from CAR vector insertion sites. CART…

Cooperative Sensing in Cell-free Massive MIMO ISAC Systems: Performance Optimization and Signal Processing
Haotian Liu, Zhiqing Wei, Luyang Sun, Ruizhong Xu, Yixin Zhang, Zhiyong Feng
https://arxiv.org/abs/2506.23473

Cooperative Sensing in Cell-free Massive MIMO ISAC Systems: Performance Optimization and Signal Processing
Integrated sensing and communication (ISAC), as a technology enabled seamless connection between communication and sensing, is regarded a core enabling technology for these applications. However, the accuracy of single-node sensing in ISAC system is limited, prompting the emergence of multi-node cooperative sensing. In multi-node cooperative sensing, the synchronization error limits the sensing accuracy, which can be mitigated by the architecture of cell-free massive multi-input multi-output (C…

Place-cell heterogeneity underlies power-laws in hippocampal activity
John J. Briguglio, Jaesung Lee, Albert K. Lee, Vincent Hakim, Sandro Romani
https://arxiv.org/abs/2507.23030

Place-cell heterogeneity underlies power-laws in hippocampal activity
Power-law scaling in coarse-grained data suggests critical dynamics, but the true source of this scaling often remains unclear. Here, we analyze neural activity recorded during spatial navigation, reproducing power-law scaling under a phenomenological renormalization group (PRG) procedure that clusters units by activity similarity. Such scaling was previously linked to criticality. Here, we show that the iterative nature of the procedure itself leads to the emergence of power laws when applied …

Discovery of the Type-II Superconductor Ta$_4$Rh$_2$C$_{1-\delta}$ with a High Upper Critical Field
KeYuan Ma, Sara L\'opez-Paz, Karolina Gornicka, Harald O. Jeschke, Tomasz Klimczuk, Fabian O. von Rohr
https://arxiv.org/abs/2506.02209

Discovery of the Type-II Superconductor Ta$_4$Rh$_2$C$_{1-δ}$ with a High Upper Critical Field
We report on the discovery of superconductivity in the previously unknown compound Ta$_4$Rh$_2$C$_{1-δ}$. Ta$_4$Rh$_2$C$_{1-δ}$ crystallizes in the $η$-carbide structure type, in the cubic space group $Fd\bar{3}m$ (No.227) with a unit cell parameter of $a = $ 11.7947 Å. Temperature-dependent magnetic susceptibility, resistivity, and specific heat capacity measurements reveal that Ta$_4$Rh$_2$C$_{1-δ}$ is a type-II bulk superconductor with a critical temperature of $T_{\rm c}$ = 6.4 K, and …

Active spin model for cell assemblies on 1D substrates
Harshal Potdar, Ignacio Pagonabarraga, Sudipto Muhuri
https://arxiv.org/abs/2507.22639 https://arxiv…

Active spin model for cell assemblies on 1D substrates
The experimental use of micropatterned quasi-1D substrates has emerged as an useful experimental tool to study the nature of cell-cell interactions and gain insight on collective behaviour of cell colonies. Inspired by these experiments, we propose an active spin model to investigate the emergent properties of the cell assemblies. The lattice gas model incorporates the interplay of self-propulsion, polarity directional switching, intra-cellular attraction, and contact Inhibition Locomotion (CIL…

Nonlinear Power Amplifier-Resilient Cell-Free Massive MIMO: A Joint Optimization Approach
Wei Jiang, Hans D. Schotten
https://arxiv.org/abs/2506.22094 http…

Nonlinear Power Amplifier-Resilient Cell-Free Massive MIMO: A Joint Optimization Approach
This letter analyzes the effects of power amplifiers (PAs) on the downlink of cell-free massive MIMO systems. We model signal transmission incorporating nonlinear PA distortion and derive a unified spectral efficiency (SE) expression applicable to arbitrary precoding schemes. To combat PA-induced performance degradation, a joint optimization approach for user association and max-min power control is proposed. Furthermore, a low-complexity alternative is developed to approximate the joint optimi…

🦠 From pond to polymer: Chemists create fully recyclable plastics using whole-cell algae
https://phys.org/news/2025-08-pond-polymer-chemists-fully-recyclable.html
... I'm always amazed at what people do with ball mills

From pond to polymer: Chemists create fully recyclable plastics using whole-cell algae
A team of chemists is pioneering a new approach to creating plastics made from whole-cell algae and common chemical components. These biohybrid plastics are strong, highly adaptable, and fully recyclable.

This https://arxiv.org/abs/2403.14848 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Learning WENO for entropy stable schemes to solve conservation laws
Entropy conditions play a crucial role in the extraction of a physically relevant solution for systems of conservation laws, thus motivating the construction of entropy stable schemes that satisfy a discrete analogue of such conditions. TeCNO schemes (Fjordholm et al. 2012) form a class of arbitrary high-order entropy stable finite difference solvers, which require specialized reconstruction algorithms satisfying the sign property at each cell interface. Third-order weighted essentially non-osc…

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Inverse 3D Microscopy Rendering for Cell Shape Inference with Active Mesh
Sacha Ichbiah, Anshuman Sinha, Fabrice Delbary, Herv\'e Turlier

Service Placement in Small Cell Networks Using Distributed Best Arm Identification in Linear Bandits
Mariam Yahya, Aydin Sezgin, Setareh Maghsudi
https://arxiv.org/abs/2506.22480 …

Service Placement in Small Cell Networks Using Distributed Best Arm Identification in Linear Bandits
As users in small cell networks increasingly rely on computation-intensive services, cloud-based access often results in high latency. Multi-access edge computing (MEC) mitigates this by bringing computational resources closer to end users, with small base stations (SBSs) serving as edge servers to enable low-latency service delivery. However, limited edge capacity makes it challenging to decide which services to deploy locally versus in the cloud, especially under unknown service demand and dy…

Perfect adaptation in eukaryotic gradient sensing using cooperative allosteric binding
Vishnu Srinivasan, Wei Wang, Brian A. Camley
https://arxiv.org/abs/2509.00219 https://

Perfect adaptation in eukaryotic gradient sensing using cooperative allosteric binding
Eukaryotic cells generally sense chemical gradients using the binding of chemical ligands to membrane receptors. In order to perform chemotaxis effectively in different environments, cells need to adapt to different concentrations. We present a model of gradient sensing where the affinity of receptor-ligand binding is increased when a protein binds to the receptor's cytosolic side. This interior protein (allosteric factor) alters the sensitivity of the cell, allowing the cell to adapt to differ…

On Performance of IoT Networks with Coordinated NOMA Transmission: Covert Monitoring and Information Decoding
Thai-Hoc Vu, Anh-Tu Le, Ngo Hoang Tu, Tan N. Nguyen, Miroslav Voznak
https://arxiv.org/abs/2509.01935

On Performance of IoT Networks with Coordinated NOMA Transmission: Covert Monitoring and Information Decoding
This work investigates the covertness and security performance of Internet-of-Things (IoTs) networks under Rayleigh fading environments. Specifically, a cellular source transmits covert information to cell-edge users with the assistance of an IoT master node, employing a coordinated direct and relay transmission strategy combined with non-orthogonal multiple access (NOMA). This approach not only enhances spectrum utilization but also generates friendly interference to complicate a warden's surv…

Enhanced Mesenchymal Stem Cell Response with Preserved Biocompatibility via (MnZn)Ferrite--Polyacrylonitrile Composite Nanofiber Membranes
Baran Sarac, Elham Sharifikolouei, Matej Micusik, Alessandro Scalia, Ziba Najmi, Andrea Cochis, Lia Rimondini, Gabriele Barrera, Marco Coisson, Selin G\"umr\"ukc\"u, Eray Y\"uce, A. Sezai Sarac

Enhanced Mesenchymal Stem Cell Response with Preserved Biocompatibility via (MnZn)Ferrite--Polyacrylonitrile Composite Nanofiber Membranes
This study focuses on the synthesis and characterization of advanced polymeric composite electrospun nanofibers (NFs) containing magnetic oxide nanoparticles (NPs). By leveraging the method of electrospinning, the research aims to investigate polymer composites with enhanced interfacial properties, improved double-layer capacitance, and adequate biocompatibility. Electrospun polyacrylonitrile (PAN) NFs embedded with Fe2O3 and MnZn ferrite NPs were comprehensively characterized using advanced te…

Heterogeneous Massive MIMO: A Cost-Efficient Technique for Uniform Service in Cellular Networks
Wei Jiang, Hans D. Schotten
https://arxiv.org/abs/2506.22000

Heterogeneous Massive MIMO: A Cost-Efficient Technique for Uniform Service in Cellular Networks
Massive multi-input multi-output (MIMO) has evolved along two tracks: cellular and cell-free, each with unique advantages and limitations. The cellular approach suffers from worse user spectral efficiency at cell edges, whereas the cell-free approach incurs high implementation costs due to a large-scale distributed infrastructure. This paper introduces a novel networking paradigm, termed heterogeneous massive MIMO (HmMIMO), which seamlessly integrates co-located and distributed antennas. Differ…

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving
Wei Mao, Lili Wei, Omid Semiari, Shu-ping Yeh, Hosein Nikopour
https://arxiv.org/abs/2507.21385

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving
3GPP Release 18 cell discontinuous transmission and reception (cell DTX/DRX) is an important new network energy saving feature for 5G. As a time-domain technique, it periodically aggregates the user data transmissions in a given duration of time when the traffic load is not heavy, so that the remaining time can be kept silent and advanced sleep modes (ASM) can be enabled to shut down more radio components and save more energy for the cell. However, inevitably the packet delay is increased, as d…

Energy-Aware Resource Allocation for Multi-Operator Cell-Free Massive MIMO in V-CRAN Architectures
Derya Nurcan-Atceken, \"Ozlem Tu\u{g}fe Demir, Aysegul Altin-Kayhan, Emil Bj\"ornson, Cicek Cavdar, Bulent Tavli
https://arxiv.org/abs/2507.21644

Energy-Aware Resource Allocation for Multi-Operator Cell-Free Massive MIMO in V-CRAN Architectures
Cell-free massive multiple-input multiple-output (MIMO) implemented in virtualized cloud radio access networks (V-CRAN) has emerged as a promising architecture to enhance spectral efficiency (SE), network flexibility, and energy efficiency (EE) in next-generation wireless systems. In this work, we develop a holistic optimization framework for the efficient deployment of cell-free massive MIMO in V-CRAN with multiple mobile network operators (MNOs). Specifically, we formulate a set of mixed-inte…

Achieving Optimal Performance-Cost Trade-Off in Hierarchical Cell-Free Massive MIMO
Wei Jiang, Hans D Schotten
https://arxiv.org/abs/2508.20704 https://arx…

Achieving Optimal Performance-Cost Trade-Off in Hierarchical Cell-Free Massive MIMO
Cell-free (CF) massive MIMO offers uniform service via distributed access points (APs), which impose high deployment costs. A novel design called hierarchical cell-free (HCF) addresses this problem by replacing some APs with a central base station, thereby lowering the costs of fronthaul network (wireless sites and fiber cables) while preserving performance. To identify the optimal uplink configuration in HCF massive MIMO, this paper provides the first comprehensive analysis, benchmarking it ag…

This https://arxiv.org/abs/2312.11683 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Rigidity of Epithelial Tissues as a Double Optimization Problem
How do cells tune emergent properties at the scale of tissues? One class of such emergent behaviors are rigidity transitions, in which a tissue changes from a solid-like to a fluid-like state or vice versa. Here, we introduce a new way for a tissue described by a vertex model to tune its rigidity, by using ``tunable degrees of freedom." We use the vertex model elastic energy as a cost function and the cell stiffnesses, target shapes, and target areas as different sets of degrees of freedom desc…

Joint RIS-UE Association and Beamforming Design in RIS-Assisted Cell-Free MIMO Network
Hongqin Ke, Jindan Xu, Wei Xu, Chau Yuen, Zhaohua Lu
https://arxiv.org/abs/2506.21690

Joint RIS-UE Association and Beamforming Design in RIS-Assisted Cell-Free MIMO Network
Reconfigurable intelligent surface (RIS)-assisted cell-free (CF) multiple-input multiple-output (MIMO) networks can significantly enhance system performance. However, the extensive deployment of RIS elements imposes considerable channel acquisition overhead, with the high density of nodes and antennas in RIS-assisted CF networks amplifying this challenge. To tackle this issue, in this paper, we explore integrating RIS-user equipment (UE) association into downlink RIS-assisted CF transmitter des…

Permeability heterogeneity and bulk linear elasticity determine interfacial pattern morphologies during confined, miscible displacements of clay suspensions
Vaibhav Raj Singh Parmar, Ranjini Bandyopadhyay
https://arxiv.org/abs/2509.02335

Permeability heterogeneity and bulk linear elasticity determine interfacial pattern morphologies during confined, miscible displacements of clay suspensions
When a less viscous Newtonian fluid displaces an aging aqueous clay suspension in a confined space, a rich array of interfacial patterns emerges due to a predominantly viscous instability. In the present work, we controlled the mechanical properties of clay suspensions by incorporating additives and studied the interfacial instabilities that resulted when these suspensions were radially displaced by water in a Hele-Shaw cell. When the elasticity of clay was low, the interfacial dynamics exhibit…

Distributed Iterative ML and Message Passing for Grant-Free Cell-Free Massive MIMO Systems
Zilu Zhao, Christian Forsch, Laura Cottatellucci, Dirk Slock
https://arxiv.org/abs/2507.21363

Distributed Iterative ML and Message Passing for Grant-Free Cell-Free Massive MIMO Systems
Cell-Free (CF) Massive Multiple-Input Multiple-Output (MaMIMO) is considered one of the leading candidates for enabling next-generation wireless communication. With the growing interest in the Internet of Things (IoT), the Grant-Free (GF) access scheme has emerged as a promising solution to support massive device connectivity. The integration of GF and CF-MaMIMO introduces significant challenges, particularly in designing distributed algorithms for activity detection and pilot contamination mit…

A First Look at Inter-Cell Interference in the Wild
Daqian Ding, Yibo Pi, Cailian Chen
https://arxiv.org/abs/2508.20060 https://arxiv.org/pdf/2508.20060

A First Look at Inter-Cell Interference in the Wild
In cellular networks, inter-cell interference management has been studied for decades, yet its real-world effectiveness remains under-explored. To bridge this gap, we conduct a first measurement study of inter-cell interference for operational 4G/5G networks. Our findings reveal the prevalence of inter-cell interference and a surprising absence of interference coordination among operational base stations. As a result, user equipments experience unnecessary interference, which causes significant…

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks
Zhuoyin Dai, Di Wu, Yong Zeng, Xiaoli Xu, Xinyi Wang, Zesong Fei
https://arxiv.org/abs/2507.23236

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks
Channel knowledge map (CKM) inference across base stations (BSs) is the key to achieving efficient environmentaware communications. This paper proposes an environmentaware cross-BS CKM inference method called BS-1-to-N based on the generative diffusion model. To this end, we first design the BS location embedding (BSLE) method tailored for cross-BS CKM inference to embed BS location information in the feature vector of CKM. Further, we utilize the cross- and self-attention mechanism for the pro…

Comprehensive Analysis of Behavioral Hardware Impairments in Cell-Free Massive MIMO-OFDM Uplink: Centralized Operation
\"Ozlem Tu\u{g}fe Demir, Muhammed Selman Somuncu, Ahmet M. Elbir, Emil Bj\"ornson
https://arxiv.org/abs/2507.21626

Comprehensive Analysis of Behavioral Hardware Impairments in Cell-Free Massive MIMO-OFDM Uplink: Centralized Operation
Cell-free massive MIMO is a key 6G technology, offering superior spectral and energy efficiency. However, its dense deployment of low-cost access points (APs) makes hardware impairments unavoidable. While narrowband impairments are well-studied, their impact in wideband systems remains unexplored. This paper provides the first comprehensive analysis of hardware impairments, such as nonlinear distortion in low-noise amplifiers, phase noise, in-phase-quadrature imbalance, and low-resolution analo…