Tootfinder

I’ll second this. All the normal perverts creep me the fuck out. https://social.southcoastsea.food/@jana_aych_ess/115340272376632001

Minimality of Tree Tensor Network Ranks
Jana Jovcheva, Tim Seynnaeve, Nick Vannieuwenhoven
https://arxiv.org/abs/2509.09463 https://arxiv.org/pdf/2509.0946…

Minimality of Tree Tensor Network Ranks
For a given tree tensor network $G$, we call a tuple of bond dimensions minimal if there exists a tensor $T$ that can be represented by this network but not on the same tree topology with strictly smaller bond dimensions. We establish necessary and sufficient conditions on the bond dimensions of a tree tensor network to be minimal, generalizing a characterization of Carlini and Kleppe about existence of tensors with a given multilinear rank. We also show that in a minimal tree tensor network, t…

Atomistic origin of low thermal conductivity in quaternary chalcogenides Cu(Cd, Zn)$_2$InTe$_4$
Nirmalya Jana, Amit Agarwal, Koushik Pal
https://arxiv.org/abs/2510.09040 https:/…

Atomistic origin of low thermal conductivity in quaternary chalcogenides Cu(Cd, Zn)$_2$InTe$_4$
Crystalline semiconductors with intrinsically low lattice thermal conductivity ($\mathcal{K}$) are vital for device applications such as barrier coatings and thermoelectrics. Quaternary chalcogenide semiconductors such as CuCd$_2$InTe$_4$ and CuZn$_2$InTe$_4$ are experimentally shown to exhibit low $\mathcal{K}$, yet its microscopic origin remains poorly understood. Here, we analyse their thermal transport mechanisms using a unified first-principles framework that captures both the Peierls (par…

🤚 #JP2
👉 Papst Johannes Paul II
https://www.openstreetmap.org/way/1028750528

Strong and selective magnon-phonon coupling in van der Waals antiferromagnet CoPS$_3$
Dipankar Jana, Diana Vaclavkova, Rajesh Kumar Ulaganathan, Raman Sankar, Milan Orlita, Clement Faugeras, Maciej Koperski, M. E. Zhitomirsky, Marek Potemski
https://arxiv.org/abs/2508.07412

Strong and selective magnon-phonon coupling in van der Waals antiferromagnet CoPS$_3$
The Raman scattering response of the biaxial antiferromagnet CoPS$_3$ has been investigated as a function of both magnetic field and temperature. The peaks observed in the low-frequency spectral range (90--200~cm$^{-1}$) have been identified as hybrid magnon--phonon excitations. The energies of the bare magnon and phonon modes, as well as the effective coupling strengths between different excitation pairs, have been determined. The strong and selective magnon--phonon interaction largely account…

Jana, Lael & Cynthia waren alle auf derselben Fähre?
Frage weil Jana schon wieder sonstwo ist.
#tcrno11

A bound for internal radii of stable manifolds in terms of Lyapunov exponents
Jana Rodriguez Hertz
https://arxiv.org/abs/2509.08346 https://arxiv.org/pdf/2…

A bound for internal radii of stable manifolds in terms of Lyapunov exponents
We find some bounds for the internal radii of stable and unstable manifolds of points in terms of their Lyapunov exponents under the assumption of the existence of a dominated splitting.

Continuous scanning full-field OCT for fast volumetric imaging of multi-cellular aggregates
Charlie Kersuzan, Anirban Jana, Amaury Badon
https://arxiv.org/abs/2509.08101 https:/…

Continuous scanning full-field OCT for fast volumetric imaging of multi-cellular aggregates
Full-field optical coherence tomography (FF-OCT) offers label-free, high-resolution imaging of biological samples but remains limited by slow acquisition due to piezoelectric mirror modulation. We present a continuous-scanning FF-OCT method that eliminates piezoelectric displacement and synchronization by continuously translating the sample with a motorized stage while recording images on the fly. Depth-resolved information is retrieved via Fourier analysis of the temporal signal at each pixel.…

PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
Diego Fajardo-Rojas, Levente Baljer, Jordina Aviles Verdera, Megan Hall, Daniel Cromb, Mary A. Rutherford, Lisa Story, Emma C. Robinson, Jana Hutter
https://arxiv.org/abs/2509.07042

PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
Preterm birth is a major cause of mortality and lifelong morbidity in childhood. Its complex and multifactorial origins limit the effectiveness of current clinical predictors and impede optimal care. In this study, a dual-branch deep learning architecture (PUUMA) was developed to predict gestational age (GA) at birth using T2* fetal MRI data from 295 pregnancies, encompassing a heterogeneous and imbalanced population. The model integrates both global whole-uterus and local placental features. I…

Jana #tcrno11cap1 sieht beim Zieleinlauf so frisch aus, dass man meint, sie könne einfach noch mal 5000 Kilometer dranhängen.
#tcrno11

String topology coproduct and Turaev cobracket on surfaces
Jana Hartenstein, Maximilian Stegemeyer
https://arxiv.org/abs/2510.05997 https://arxiv.org/pdf/2…

String topology coproduct and Turaev cobracket on surfaces
The string topology coproduct on the homology of the free loop space of a closed manifold induces a string cobracket on $S^1$-equivariant homology. We give a complete computation of the string topology coproduct for surfaces of higher genus by describing an algorithm which computes the coproduct of a cyclic word in terms of generators of the fundamental group of the surface. We further show that the string cobracket is the negative of the Turaev cobracket.

Exclusive: FBI employees worry Trump's Washington surge is exposing unmarked cars (Jana Winter/Reuters)
https://www.reuters.com/world/us/fbi-employees-worry-trumps-washington-surge-is-exposing-unmarked-cars-2025-09-04/
http://www.memeorandum.com/250904/p82#a250904p82

A framework for continuous superradiant laser operation via sequential transport of atoms
Jana El Badawi, Marion Delehaye, Bruno Bellomo
https://arxiv.org/abs/2509.07833 https:/…

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Jana Winderen:
🎵 Kria
#JanaWinderen
https://open.spotify.com/track/25HqOjOo7pcMuMmRfuEgl4

Tschechien will "Leopard"-Panzer kaufen
Die tschechische Regierung hat übereinstimmenden Medienberichten nach Plänen zugestimmt, "Leopard 2A8"-Panzer aus Deutschland zu kaufen. Das sagte Verteidigungsministerin Jana Černochovš. Das NATO-Mitglied Tschechien werde mit dem deutschen Verteidigungsministerium einen Rahmenvertrag für die Käufe abschließen.
In einer ersten Phase will Tschechien 44 Panzer für 34,2 Milliarden Kronen …
📑

Liveblog: ++ Ukraine lehnt Treffen mit Putin in Moskau ab ++
Die Ukraine hat kein Interesse an einem Treffen mit Kremlchef Putin in Moskau. Das teilte Außenminister Sybiha mit. Zuvor hatte Putin gesagt, Selenskyj könne nach Moskau kommen. Für die Ukraine kommen nur andere Orte infrage.

Two-dimensional materials as a multiproperty sensing platform
Dipankar Jana, Shubhrasish Mukherjee, Dmitrii Litvinov, Magdalena Grzeszczyk, Sergey Grebenchuk, Makars~\v{S}i\v{s}kins, Virgil Gavriliuc, Yihang Ouyang, Changyi Chen, Yuxuan Ye, Yiming Meng, Maciej Koperski
https://arxiv.org/abs/2509.08259…

Two-dimensional materials as a multiproperty sensing platform
Two-dimensional (2D) materials have disrupted materials science due to the development of van der Waals technology. It enables the stacking of ultrathin layers of materials characterized by vastly different electronic structures to create man-made heterostructures and devices with rationally tailored properties, circumventing limitations of matching crystal structures, lattice constants, and geometry of constituent materials and supporting substrates. 2D materials exhibit extraordinary mechanic…

Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
Cyrus Cousins, Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
https://arxiv.org/abs/2509.04445

Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
Recent AI work trends towards incorporating human-centric objectives, with the explicit goal of aligning AI models to personal preferences and societal values. Using standard preference elicitation methods, researchers and practitioners build models of human decisions and judgments, which are then used to align AI behavior with that of humans. However, models commonly used in such elicitation processes often do not capture the true cognitive processes of human decision making, such as when peop…

Discovery of Changing-Look behavior in AGN NGC 3822: A long-term multiwavelength study
Narendranath Layek, Prantik Nandi, Sachindra Naik, Birendra Chhotaray, Arghajit Jana, Priyadarshee P. Dash, Neeraj Kumari, C. S. Stalin, Srikanth Bandari, S. Muneer
https://arxiv.org/abs/2510.05599

Discovery of Changing-Look behavior in AGN NGC 3822: A long-term multiwavelength study
We present a comprehensive long-term multi-wavelength study of the active galactic nucleus (AGN) NGC 3822, based on 17 years (2008 to 2025) of X-ray, ultraviolet (UV), and optical observations.The dataset includes observations from Swift, XMM-Newton, and NuSTAR, the Very Large Telescope, and the Himalayan Chandra Telescope. Our multiwavelength light curve analysis reveals flux variations across X-ray to optical/UV bands, with an increased variability amplitude at shorter wavelengths. X-ray spec…

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration
David Rogers, Valerio Mariani, Cong Wang, Ryan Coffee, Wilko Kroeger, Murali Shankar, Hans Thorsten Schwander, Tom Beck, Fr\'ed\'eric Poitevin, Jana Thayer
https://arxiv.org/abs/2510.04012

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration
We describe a new end-to-end experimental data streaming framework designed from the ground up to support new types of applications -- AI training, extremely high-rate X-ray time-of-flight analysis, crystal structure determination with distributed processing, and custom data science applications and visualizers yet to be created. Throughout, we use design choices merging cloud microservices with traditional HPC batch execution models for security and flexibility. This project makes a unique con…

Strong coupling phases of conserved growth models are crumpled
Debayan Jana, Abhik Basu
https://arxiv.org/abs/2510.04109 https://arxiv.org/pdf/2510.04109…

Strong coupling phases of conserved growth models are crumpled
We show that stochastically driven nonequilibrium conserved growth models admit strong coupling phases for sufficiently strong nonlocal chemical potentials underlying the dynamics. The models exhibit generic roughening transitions between perturbatively accessible weak coupling phases satisfying an exact relation between the dynamic $z$ and roughness $χ$ exponents in all dimensions $d$ and strong coupling phases. In dimensions below the critical dimension, the latter phases are unstable and ar…

Was mir irgendwie auffällt:
Jana Kesenheimer fährt oft andere Strecken als anderer FahrerInnen.
#tcrno11 #tcrno11cap1

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Fluid flow generates bacterial conjugation hotspots by increasing the rate of shear-driven cell-c...
Matti Zbinden, Jana S. Huisman, Natasha Blitvic, Roman Stocker, Jonasz S{\l}…

Strongly Entangled Kondo and Kagome Lattices and the Emergent Magnetic Ground State in Heavy-Fermion Kagome Metal YbV$_6$Sn$_6$
Rui Lou, Max Mende, Riccardo Vocaturo, Hao Zhang, Qingxin Dong, Man Li, Pengfei Ding, Erjian Cheng, Zhiguang Liao, Yu Zhang, Junfa Lin, Reza Firouzmandi, Vilmos Kocsis, Laura T. Corredor, Yurii Prots, Oleksandr Suvorov, Anupam Jana, Jun Fujii, Ivana Vobornik, Oleg Janson, Wenliang Zhu, Jeroen van den Brink, Cornelius Krellner, Minghu Pan, Bosen Wang, Tianlong …

Strongly Entangled Kondo and Kagome Lattices and the Emergent Magnetic Ground State in Heavy-Fermion Kagome Metal YbV$_6$Sn$_6$
Applying angle-resolved photoemission spectroscopy and density functional theory calculations, we present compelling spectroscopic evidence demonstrating the intertwining and mutual interaction between the Kondo and kagome sublattices in heavy-fermion intermetallic compound YbV$_6$Sn$_6$. We reveal the Yb 4$f$-derived states near the Fermi level, along with the presence of bulk kagome bands and topological surface states. We unveil strong interactions between the 4$f$ and itinerant electrons, w…

Crosslisted article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- Generalised M\"obius Categories and Convolution Kleene Algebras
James Cranch, Georg Struth, Jana Wagemaker

Electric-field Control of Giant Ferronics
Baolong Zhang, Ruihuan Duan, Sobhan Subhra Mishra, Sambhu Jana, Jonghyeon Kim, Thomas Tan Caiwei, Yi Ji Tan, Wenhao Wang, Pang Teng Chen Ietro, Zheng Liu, Ranjan Singh
https://arxiv.org/abs/2509.06057

Electric-field Control of Giant Ferronics
Ferrons are quantum excitations of electric polarization in ferroelectrics and electric analogues of magnons but have lacked direct experimental verification at room temperature. We harness the coupling of soft phonons and ferroelectric order in layered NbOX2 (X = I, Br, Cl) to generate, detect, and control giant ferrons, creating a new class of ultralow-power, chip-scale terahertz (THz) sources. Multiple ferron modes produce intense, narrowband THz emission with quality factors up to 228 and r…

Generalised M\"obius Categories and Convolution Kleene Algebras
James Cranch, Georg Struth, Jana Wagemaker
https://arxiv.org/abs/2509.00168 https://ar…

Generalised Möbius Categories and Convolution Kleene Algebras
Convolution algebras on maps from structures such as monoids, groups or categories into semirings, rings or fields abound in mathematics and the sciences. Of special interest in computing are convolution algebras based on variants of Kleene algebras, which are additively idempotent semirings equipped with a Kleene star. Yet an obstacle to the construction of convolution Kleene algebras on a wide class of structures has so far been the definition of a suitable star. We show that a generalisation…

Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
Simin Chen, Yixin He, Suman Jana, Baishakhi Ray
https://arxiv.org/abs/2509.25894 https://…

Red Teaming Program Repair Agents: When Correct Patches can Hide Vulnerabilities
LLM-based agents are increasingly deployed for software maintenance tasks such as automated program repair (APR). APR agents automatically fetch GitHub issues and use backend LLMs to generate patches that fix the reported bugs. However, existing work primarily focuses on the functional correctness of APR-generated patches, whether they pass hidden or regression tests, while largely ignoring potential security risks. Given the openness of platforms like GitHub, where any user can raise issues an…

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform
Zihan Ning, Yannick Brackenier, Sarah McElroy, Sara Neves Silva, Lucilio Cordero-Grande, Sam Rot, Liane S. Canas, Rebecca E Thornley, David Leit\~ao, Davide Poccecai, Andrew Cantell, Rene Kerosi, Anthony N Price, Jon Cleary, Donald J Tournier, Jana Hutter, Philippa Bridgen, Pierluigi Di Cio, Michela Cleri, Inka Granlund, Lucy Billimoria…

From Offline to Inline Without Pain: A Practical Framework for Translating Offline MR Reconstructions to Inline Deployment Using the Gadgetron Platform
Purpose: To develop and validate a practical framework to overcome common issues in inline deployment of established offline MR reconstruction, including (1) delay from lengthy reconstructions, (2) limited support for multi-scan input reconstructions, (3) the need to adapt scripts for different raw formats, and (4) limited guidance and experience in retaining scanner reconstructions and applying scanner-based post-processing to custom outputs. Methods: The framework builds upon the Gadgetron pl…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/21]:
- TRAX: TRacking Axles for Accurate Axle Count Estimation
Avinash Rai, Sandeep Jana, Vishal Vijay

Constricting the Computational Complexity Gap of the $4$-Coloring Problem in $(P_t,C_3)$-free Graphs
Justyna Jaworska, Bart{\l}omiej Kielak, Tom\'a\v{s} Masa\v{r}\'ik, Jana Masa\v{r}\'ikov\'a
https://arxiv.org/abs/2509.02423

Constricting the Computational Complexity Gap of the $4$-Coloring Problem in $(P_t,C_3)$-free Graphs
The $k$-Coloring problem on hereditary graph classes has been a deeply researched problem over the last decade. A hereditary graph class is characterized by a (possibly infinite) list of minimal forbidden induced subgraphs. We say that a graph is $(H_1,H_2,\ldots)$-free if it does not contain any of $H_1,H_2,\ldots$ as induced subgraphs. The complexity landscape of the problem remains unclear even when restricting to the case $k=4$ and classes defined by a few forbidden induced subgraphs. While…

NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
Mingkai Li, Hang Ye, Joseph Devietti, Suman Jana, Tanvir Ahmed Khan
https://arxiv.org/abs/2509.22027

NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
Memory safety bugs, such as buffer overflows and use-after-frees, are the leading causes of software safety issues in production. Software-based approaches, e.g., Address Sanitizer (ASAN), can detect such bugs with high precision, but with prohibitively high overhead. ARM's Memory Tagging Extension (MTE) offers a promising alternative to detect these bugs in hardware with a much lower overhead. However, in this paper, we perform a thorough investigation of Google Pixel 8, the first production i…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/3]:
- Refining Czech GEC: Insights from a Multi-Experiment Approach
Petr Pechman, Milan Straka, Jana Strakov\'a, Jakub N\'aplava

More Expert-like Eye Gaze Movement Patterns are Related to Better X-ray Reading
Pingjing Yang, Jennifer Cromley, Jana Diesner
https://arxiv.org/abs/2507.18637 https://

More Expert-like Eye Gaze Movement Patterns are Related to Better X-ray Reading
Understanding how novices acquire and hone visual search skills is crucial for developing and optimizing training methods across domains. Network analysis methods can be used to analyze graph representations of visual expertise. This study investigates the relationship between eye-gaze movements and learning outcomes among undergraduate dentistry students who were diagnosing dental radiographs over multiple semesters. We use network analysis techniques to model eye-gaze scanpaths as directed gr…

A Bilevel Approach to Integrated Surgeon Scheduling and Surgery Planning solved via Branch-and-Price
Broos Maenhout, P\v{r}emysl \v{S}\r{u}cha, Viktorie Valdmanov\'a, Ond\v{r}ej Tkadlec, Jana Thao Rozlivkov\'a
https://arxiv.org/abs/2509.24806

A Bilevel Approach to Integrated Surgeon Scheduling and Surgery Planning solved via Branch-and-Price
In this paper, we study a multi-agent scheduling problem for organising the operations within the operating room department. The head of the surgeon group and individual surgeons are together responsible for the surgeon schedule and surgical case planning. The surgeon head allocates time blocks to individual surgeons, whereas individual surgeons determine the planning of surgical cases independently, which might degrade the schedule quality envisaged by the surgeon head. The bilevel optimisatio…

Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Jianqing Fan, Soham Jana, Sanjeev Kulkarni, Qishuo Yin
https://arxiv.org/abs/2508.17136 https://

Factor Informed Double Deep Learning For Average Treatment Effect Estimation
We investigate the problem of estimating the average treatment effect (ATE) under a very general setup where the covariates can be high-dimensional, highly correlated, and can have sparse nonlinear effects on the propensity and outcome models. We present the use of a Double Deep Learning strategy for estimation, which involves combining recently developed factor-augmented deep learning-based estimators, FAST-NN, for both the response functions and propensity scores to achieve our goal. By using…

CLT for LES of real valued random centrosymmetric matrices
Indrajit Jana, Sunita Rani
https://arxiv.org/abs/2509.26141 https://arxiv.org/pdf/2509.26141

CLT for LES of real valued random centrosymmetric matrices
We study the fluctuations of the eigenvalues of real valued large centrosymmetric random matrices via its linear eigenvalue statistic. This is essentially a central limit theorem (CLT) for sums of dependent random variables. The dependence among them leads to behavior that differs from the classical CLT. The main contribution of this article is finding the expression of the variance of the limiting Gaussian distribution. The crux of the proof lies in combinatorial arguments that involve countin…

Depression diagnosis from patient interviews using multimodal machine learning
Jana Weber, Marcel Weber, Juan Miguel Lopez Alcaraz
https://arxiv.org/abs/2508.19390 https://

Depression diagnosis from patient interviews using multimodal machine learning
Background: Depression is a major public health concern, affecting an estimated five percent of the global population. Early and accurate diagnosis is essential to initiate effective treatment, yet recognition remains challenging in many clinical contexts. Speech, language, and behavioral cues collected during patient interviews may provide objective markers that support clinical assessment. Methods: We developed a diagnostic approach that integrates features derived from patient interviews, …

Graph Traversal via Connected Mobile Agents
Saswata Jana, Giuseppe F. Italiano, Partha Sarathi Mandal
https://arxiv.org/abs/2508.18683 https://arxiv.org/pd…

Graph Traversal via Connected Mobile Agents
This paper considers the Hamiltonian walk problem in the multi-agent coordination framework, referred to as $k$-agents Hamiltonian walk problem ($k$-HWP). In this problem, a set of $k$ connected agents collectively compute a spanning walk of a given undirected graph in the minimum steps. At each step, the agents are at $k$ distinct vertices and the induced subgraph made by the occupied vertices remains connected. In the next consecutive steps, each agent may remain stationary or move to one of …

Crosslisted article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- The fundamental limits of minimax risk for high-dimensional speckle noise model
Hao Xing, Soham Jana, Arian Maleki

A Classification Program for Nonlocality Paradoxes of Three Qubits
Nadish de Silva (Department of Mathematics, Simon Fraser University), Santanil Jana (Department of Mathematics, Simon Fraser University), Ming Yin (Department of Mathematics, Simon Fraser University)
https://arxiv.org/abs/2508.14673…

A Classification Program for Nonlocality Paradoxes of Three Qubits
Nonlocality is a quintessential signature of nonclassical behaviour and a resource for quantum advantages in communication and computation. The paradoxical correlations witnessed by strong nonlocality undergird the standard probabilistic form of nonlocality and provide optimal advantages in numerous informational tasks. Three-qubit systems are the simplest ones that admit strong nonlocality. Abramsky et al. (TQC, 2017) established the existence of an infinite family of three-qubit paradoxes, …

Deep Learning as the Disciplined Construction of Tame Objects
Gilles Bareilles, Allen Gehret, Johannes Aspman, Jana Lep\v{s}ov\'a, Jakub Mare\v{c}ek
https://arxiv.org/abs/2509.18025

Deep Learning as the Disciplined Construction of Tame Objects
One can see deep-learning models as compositions of functions within the so-called tame geometry. In this expository note, we give an overview of some topics at the interface of tame geometry (also known as o-minimality), optimization theory, and deep learning theory and practice. To do so, we gradually introduce the concepts and tools used to build convergence guarantees for stochastic gradient descent in a general nonsmooth nonconvex, but tame, setting. This illustrates some ways in which tam…

Digital Skills Formation in Gendered Peer Networks: Exploring advice giving and taking in classrooms
Petro Tolochko, Jana Bernhard-Harrer, Azade E. Kakavand, Aytalina Kulichkina, Hyunjin Song, Hajo G. Boomgaarden
https://arxiv.org/abs/2508.19102

Digital Skills Formation in Gendered Peer Networks: Exploring advice giving and taking in classrooms
The digitalisation of childhood underscores the importance of early digital skill development. To understand how peer relationships shape this process, we draw on unique sociocentric network data from students in classrooms across three countries, focusing on peer-to-peer advice-giving and advice-seeking networks related to digital skills. Using exponential random graph models, we find that digital skills systematically spread through peer interactions: higher-skilled students are more likely t…

Machine learning approaches to seismic event classification in the Ostrava region
Marek Pecha, Michael Skotnica, Jana Ru\v{s}ajov\'a, Bohdan Rieznikov, V\'it Wandrol, Mark\'eta R\"osnerov\'a, Jarom\'ir Knejzl\'ik
https://arxiv.org/abs/2509.22574

Machine learning approaches to seismic event classification in the Ostrava region
The northeastern region of the Czech Republic is among the most seismically active areas in the country. The most frequent seismic events are mining-induced since there used to be strong mining activity in the past. However, natural tectonic events may also occur. In addition, seismic stations often record explosions in quarries in the region. Despite the cessation of mining activities, mine-induced seismic events still occur. Therefore, a rapid differentiation between tectonic and anthropogeni…

Crosslisted article(s) found for math.LO. https://arxiv.org/list/math.LO/new
[1/1]:
- Deep Learning as the Disciplined Construction of Tame Objects
Gilles Bareilles, Allen Gehret, Johannes Aspman, Jana Lep\v{s}ov\'a, Jakub Mare\v{c}ek

Time-optimal Asynchronous Minimal Vertex Covering by Myopic Robots
Saswata Jana, Subhajit Pramanick, Adri Bhattacharya, Partha Sarathi Mandal
https://arxiv.org/abs/2508.14247 ht…

Time-optimal Asynchronous Minimal Vertex Covering by Myopic Robots
In a connected graph with an autonomous robot swarm with limited visibility, it is natural to ask whether the robots can be deployed to certain vertices satisfying a given property using only local knowledge. This paper affirmatively answers the question with a set of \emph{myopic} (finite visibility range) luminous robots with the aim of \emph{filling a minimal vertex cover} (MVC) of a given graph $G = (V, E)$. The graph has special vertices, called \emph{doors}, through which robots enter seq…

Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
Harshit, Rahul Jana, Ritesh Kumar
https://arxiv.org/abs/2509.17800 https://…

Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
The behavior of honeybees is an important ecological phenomenon not only in terms of honey and beeswax production but also due to the proliferation of flora and fauna around it. The best way to study this significant phenomenon is by non-invasive monitoring of beehives using the sounds produced by various body movements that give out audio signals which can be exploited for various predictions related to the objectives mentioned above. This study investigates the application of Convolutional Ne…

Crosslisted article(s) found for stat.OT. https://arxiv.org/list/stat.OT/new
[1/1]:
- CLT for LES of real valued random centrosymmetric matrices
Indrajit Jana, Sunita Rani

Replaced article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Simplified, Physically Motivated, and Broadly Applicable Range-Separation Tuning
Aditi Singh, Subrata Jana, Lucian A. Constantin, Fabio Della Sala, Prasanjit Samal, Szymon \&…

The fundamental limits of minimax risk for high-dimensional speckle noise model
Hao Xing, Soham Jana, Arian Maleki
https://arxiv.org/abs/2508.18503 https://

The fundamental limits of minimax risk for high-dimensional speckle noise model
Unlike conventional imaging modalities, such as magnetic resonance imaging, which are often well described by a linear regression framework, coherent imaging systems follow a significantly more complex model. In these systems, the task is to recover the unknown signal or image $\mathbf{x}_o \in \mathbb{R}^n$ from observations $\mathbf{y}_1, \ldots, \mathbf{y}_L \in \mathbb{R}^m$ of the form \[ \mathbf{y}_l = A_l X_o \mathbf{w}_l + \mathbf{z}_l, \quad l = 1, \ldots, L, \] where $X_o = \mathrm{di…

Iwahori-Hecke model for the universal supersingular representation
Anand Chitrao, Asfak Soneji
https://arxiv.org/abs/2508.13766 https://arxiv.org/pdf/2508.…

Iwahori-Hecke model for the universal supersingular representation
Let $F$ be a non-archimedean local field with residue field $\mathbb{F}_q$. When $F$ is a finite extension of $\mathbb{Q}_{p}$, Anandavardhanan-Borisagar and Anandavardhanan-Jana introduced an Iwahori-Hecke model for the universal supersingular representation $π_r$ in the regular case $ 0 < r < q-1$. When $F=\mathbb{Q}_{p}$, the first author introduced an Iwahori-Hecke model for $π_r$ when $r = 0, p - 1$. We extend this result to an arbitrary local field $F$ for $r = 0, q - 1$. We also writ…

Gluon Wigner distributions with transverse polarization at non-zero skewness
Sujit Jana, Kenil Solanki, Vikash Kumar Ojha
https://arxiv.org/abs/2507.13691 …

Gluon Wigner distributions with transverse polarization at non-zero skewness
We investigate the gluon Wigner distributions at non-zero skewness using light-front wave functions (LFWFs) in the dressed quark model, where the target state is a quark dressed with a gluon in the leading-order Fock space expansion. The analysis is for the configurations where either the gluon or the target is transversely polarized. We construct the Wigner distributions in a boost-invariant longitudinal space, characterized by the variable $σ=\frac{1}{2}b^-P^+$, which is conjugate to the ske…

Multimodal near-infrared spectroscopy for biosensing applications
Krisztian Neutsch, Jana Nikolic, Asra Mafakheri, Jan Stegemann, Sebastian Kruss
https://arxiv.org/abs/2509.00775

Multimodal near-infrared spectroscopy for biosensing applications
The near infrared (NIR) region of the electromagnetic spectrum contains valuable information about vibrational overtone and combination modes. Additionally, fluorophores that emit in the NIR are desired because this spectral range falls into the tissue transparency window. However, NIR techniques are not as widespread as their counterparts in the visible range because detectors, microscopes and fluorophores are less available. Here, we present a NIR multimodal and low footprint spectroscopy (NI…

Signatures of emergent surface states across a displacive topological phase transition in Bi$_4$I$_4$
Deep Singha Roy, Sk Kalimuddin, Subrata Pachhal, Saikat Mondal, Soham Das, Sukanya Jana, Arnab Bera, Satyabrata Bera, Tuhin Debnath, Ankan Bag, Souvik Pramanik, Sudipta Chatterjee, Sanjib Naskar, Shishir Kumar Pandey, Adhip Agarwala, Mintu Mondal
https://

Signatures of emergent surface states across a displacive topological phase transition in Bi$_4$I$_4$
Topological phase transitions involving crystalline symmetry breaking provide a fertile ground to explore the interplay between symmetry, topology, and emergent quantum phenomena. Recently discovered quasi-one-dimensional topological material, Bi$_4$I$_4$, has been predicted to host topologically non-trivial gapless surfaces at high temperature, which undergo a finite temperature phase transition to a low temperature gapped phase. Here we present experimental signatures of this room temperature…

Bacteria collective motion is scale-free
Benjamin Perez-Estay, Vincent Martinez, Carine Douarche, Jana Schwarz-Linek, Jochen Arlt, Pierre-Henri Delville, Gail McConnell, Wilson C. K. Poon, Anke Lindner, Eric Clement
https://arxiv.org/abs/2509.15918

Bacteria collective motion is scale-free
Suspensions of swimming bacteria interact hydrodynamically over long ranges, organizing themselves into collective states that drive large-scale chaotic flows, often referred to as "bacterial turbulence". Despite extensive experimental and theoretical work, it remains unclear whether an intrinsic length scale underlies the observed patterns. To shed light on the mechanism driving active turbulence, we investigate the emergence of large-scale flows in E. coli suspensions confined within cylindri…

Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper)
Erik Penther, Michael Grohs, Jana-Rebecca Rehse
https://arxiv.org/abs/2509.18986 https://…

COSINE (Cometary Object Study Investigating their Nature and Evolution) I. Project Overview and General Characteristics of Detected Comets
Yuna G. Kwon, Dar W. Dahlen, Joseph R. Masiero, James M. Bauer, Yanga R. Fern\'andez, Adeline Gicquel, Yoonyoung Kim, Jana Pittichov\'a, Frank Masci, Roc M. Cutri, Amy K. Mainzer
https://arxiv.o…

COSINE (Cometary Object Study Investigating their Nature and Evolution) I. Project Overview and General Characteristics of Detected Comets
We present the first results from the COSINE (Cometary Object Study Investigating their Nature and Evolution) project, based on a uniformly processed dataset of 484 comets observed over the full 15-year duration of the WISE/NEOWISE mission. This compilation includes 1,633 coadded images spanning 966 epochs with signal-to-noise ratios (S/N) greater than 4, representing the largest consistently analyzed infrared comet dataset obtained from a single instrument. Dynamical classification identifies …

Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
Ankan Mullick, Saransh Sharma, Abhik Jana, Pawan Goyal
https://arxiv.org/abs/2508.16122 https://

Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
The rise of multimodal data, integrating text, audio, and visuals, has created new opportunities for studying multimodal tasks such as intent detection. This work investigates the effectiveness of Large Language Models (LLMs) and non-LLMs, including text-only and multi-modal models, in the multimodal intent detection task. Our study reveals that Mistral-7B, a text-only LLM, outperforms most competitive multimodal models by approximately 9% on MIntRec-1 and 4% on MIntRec2.0 datasets. This perfor…

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
Sathyanarayana, Hiremath, Shah, Panda, Jana, Singh, Irfan, Murali, Ramsundar

Deconstruction of the anisotropic magnetic interactions from spin-entangled optical excitations in van der Waals antiferromagnets
Dipankar Jana, Swagata Acharya, Milan Orlita, Clement Faugeras, Dimitar Pashov, Mark van Schilfgaarde, Marek Potemski, Maciej Koperski
https://arxiv.org/abs/2510.03010

Deconstruction of the anisotropic magnetic interactions from spin-entangled optical excitations in van der Waals antiferromagnets
Magneto-optical excitations in antiferromagnetic d systems can originate from a multiplicity of light-spin and spin-spin interactions, as the light and spin degrees of freedom can be entangled. This is exemplified in van der Waals systems with attendant strong anisotropy between in-plane and out- of-plane directions, such as MnPS3 and NiPS3 films studied here. The rich interplay between the magnetic ordering and sub-bandgap optical transitions poses a challenge to resolve the mechanisms driving…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Jana Semeradova, Collegium Marianum, Jana Semeradova & Frantisek Jiranek:
🎵 Flute Concerto in G major
#JanaSemeradova #CollegiumMarianum #FrantisekJiranek

Crosslisted article(s) found for cs.OH. https://arxiv.org/list/cs.OH/new
[1/1]:
- Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
Harshit, Rahul Jana, Ritesh Kumar

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
Sathyanarayana, Hiremath, Shah, Panda, Jana, Singh, Irfan, Murali, Ramsundar

Fairness-Aware and Interpretable Policy Learning
Nora Bearth, Michael Lechner, Jana Mareckova, Fabian Muny
https://arxiv.org/abs/2509.12119 https://arxiv.o…

Fairness-Aware and Interpretable Policy Learning
Fairness and interpretability play an important role in the adoption of decision-making algorithms across many application domains. These requirements are intended to avoid undesirable group differences and to alleviate concerns related to transparency. This paper proposes a framework that integrates fairness and interpretability into algorithmic decision making by combining data transformation with policy trees, a class of interpretable policy functions. The approach is based on pre-processing…

Realizing non-Hermitian tunneling phenomena using non-reciprocal active acoustic metamaterials
Felix Langfeldt, Joe Tan, Sayan Jana, Lea Sirota
https://arxiv.org/abs/2507.17395 …

Realizing non-Hermitian tunneling phenomena using non-reciprocal active acoustic metamaterials
Non-reciprocal systems have been shown to exhibit various interesting wave phenomena, such as the non-Hermitian skin effect, which causes accumulation of modes at boundaries. Recent research on discrete systems showed that this effect can pose a barrier for waves hitting an interface between reciprocal and non-reciprocal systems. Under certain conditions, however, waves can tunnel through this barrier, similar to the tunneling of particles in quantum mechanics. This work proposes and investigat…

Crosslisted article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- Trust@Health: A Trust-Based Multilayered Network for Scalable Healthcare Service Management
Avijit Gayen, Somyajit Chakraborty, Joydeep Chakraborty, Angshuman Jana

humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
Andrii Kliachkin, Jana Lep\v{s}ov\'a, Gilles Bareilles, Jakub Mare\v{c}ek
https://arxiv.org/abs/2509.21254

humancompatible.train: Implementing Optimization Algorithms for Stochastically-Constrained Stochastic Optimization Problems
There has been a considerable interest in constrained training of deep neural networks (DNNs) recently for applications such as fairness and safety. Several toolkits have been proposed for this task, yet there is still no industry standard. We present humancompatible.train (https://github.com/humancompatible/train), an easily-extendable PyTorch-based Python package for training DNNs with stochastic constraints. We implement multiple previously unimplemented algorithms for stochastically constra…

BASS LIII: The Eddington Ratio as the Primary Regulator of the Fraction of X-ray Emission in Active Galactic Nuclei
Kriti Kamal Gupta, Claudio Ricci, Alessia Tortosa, Matthew J. Temple, Michael J. Koss, Benny Trakhtenbrot, Franz E. Bauer, Ezequiel Treister, Richard Mushotzky, Elias Kammoun, Iossif Papadakis, Kyuseok Oh, Alejandra Rojas, Chin-Shin Chang, Yaherlyn Diaz, Arghajit Jana, Darshan Kakkad, Ignacio del Moral-Castro, Alessandro Peca, Meredith C. Powell, Daniel Stern, C. Megan Ur…

BASS LIII: The Eddington Ratio as the Primary Regulator of the Fraction of X-ray Emission in Active Galactic Nuclei
Active galactic nuclei (AGN) emit radiation via accretion across the entire energy spectrum. While the standard disk and corona model can somewhat describe this emission, it fails to predict specific features such as the soft X-ray excess, the short-term optical/UV variability, and the observed UV/X-ray correlation in AGN. In this context, the fraction of AGN emission in different bands (i.e., bolometric corrections) can be useful to better understand the accretion physics of AGN. Past studies …

Replaced article(s) found for cond-mat.stat-mech. https://arxiv.org/list/cond-mat.stat-mech/new
[1/1]:
- Rough or crumpled: Strong coupling phases of a generalized Kardar-Parisi-Zhang surface
Debayan Jana, Abhik Basu

Audio-Vision Contrastive Learning for Phonological Class Recognition
Daiqi Liu, Tom\'as Arias-Vergara, Jana Hutter, Andreas Maier, Paula Andrea P\'erez-Toro
https://arxiv.org/abs/2507.17682

Audio-Vision Contrastive Learning for Phonological Class Recognition
Accurate classification of articulatory-phonological features plays a vital role in understanding human speech production and developing robust speech technologies, particularly in clinical contexts where targeted phonemic analysis and therapy can improve disease diagnosis accuracy and personalized rehabilitation. In this work, we propose a multimodal deep learning framework that combines real-time magnetic resonance imaging (rtMRI) and speech signals to classify three key articulatory dimensio…

A Task Taxonomy for Conformance Checking
Jana-Rebecca Rehse, Michael Grohs, Finn Klessascheck, Lisa-Marie Klein, Tatiana von Landesberger, Luise Pufahl
https://arxiv.org/abs/2507.11976

A Task Taxonomy for Conformance Checking
Conformance checking is a sub-discipline of process mining, which compares observed process traces with a process model to analyze whether the process execution conforms with or deviates from the process design. Organizations can leverage this analysis, for example to check whether their processes comply with internal or external regulations or to identify potential improvements. Gaining these insights requires suitable visualizations, which make complex results accessible and actionable. So fa…

Doubling measures and Poincar\'e inequalities for sphericalizations of metric spaces
Anders Bj\"orn, Jana Bj\"orn, Xining Li
https://arxiv.org/abs/2508.09795 https…

Doubling measures and Poincaré inequalities for sphericalizations of metric spaces
The identification between the complex plane and the Riemann sphere preserves holomorphic and harmonic functions and is a classical tool. In this paper we consider a similar mapping from an unbounded metric space $X$ to a bounded space and show how it preserves $p$-harmonic functions and Poincaré inequalities. When $X$ is Ahlfors regular, this was shown in our earlier paper (J. Math. Anal. Appl. 474 (2019), 852-875). Here we only require the much weaker (and more natural) doubling property of …

FACET:Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets
Jana Gonnermann-M\"uller, Jennifer Haase, Konstantin Fackeldey, Sebastian Pokutta
https://arxiv.org/abs/2508.11401

FACET:Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets
The increasing heterogeneity of student populations poses significant challenges for teachers, particularly in mathematics education, where cognitive, motivational, and emotional differences strongly influence learning outcomes. While AI-driven personalization tools have emerged, most remain performance-focused, offering limited support for teachers and neglecting broader pedagogical needs. This paper presents the FACET framework, a teacher-facing, large language model (LLM)-based multi-agent s…

Crosslisted article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations
Yuan Ni, Zhantao Chen, Cheng Peng, Rajan Plumley, Chun Hong Yoon, Jana B. Thayer, Jo…

Radial asymmetry in quadrupole mass filters: stability, multipole fields and resolution enhancement
Sukanya Jana, Snigdha Bose, Sayel Chakraborty, Pintu Mandal, Nabanita Deb
https://arxiv.org/abs/2508.20574

Radial asymmetry in quadrupole mass filters: stability, multipole fields and resolution enhancement
This study examines the effects of radial asymmetry in a linear quadrupole mass filter with circular rods, introduced either by a change in electrode radii or by displacement of a diametrically opposite pair. A radial potential model is developed to account for the resulting geometric deviations, enabling analysis of the first stability region specific to the quadrupole component. The transmission characteristics of such asymmetric configurations are systematically examined, revealing a linear …

A Cryogenic Uniaxial Strain Cell for Elastoresistance Measurements
Eckelt Franz, Cavallaro Isidoro, Wagner Ralph, Haghighirad Amir-Abbas, Wolf Thomas, Wilmers Jana, Bargmann Swantje, Hess Christian
https://arxiv.org/abs/2507.08428

A Cryogenic Uniaxial Strain Cell for Elastoresistance Measurements
We present the design, implementation, and validation of a cryo-compatible strain cell for elastoresistance measurements in quantum materials. The cell is actuated by three large-format piezoelectric stacks and enables both compressive and tensile strain up to approximately $\pm5\%$. The relative displacement of the sample holders is measured in situ using a high-resolution capacitive displacement sensor, ensuring precise strain control throughout measurement. To operate the strain cell over a …

Asynchronous Gathering of Opaque Robots with Mobility Faults
Subhajit Pramanick, Saswata Jana, Partha Sarathi Mandal, Gokarna Sharma
https://arxiv.org/abs/2509.10711 https://

Asynchronous Gathering of Opaque Robots with Mobility Faults
We consider the fundamental benchmarking problem of gathering in an $(N,f)$-fault system consisting of $N$ robots, of which at most $f$ might fail at any execution, under asynchrony. Two seminal results established impossibility of a solution in the oblivious robot (OBLOT) model in a $(2,0)$-fault system under semi-synchrony and in a $(3,1)$-Byzantine fault system under asynchrony. Recently, a breakthrough result circumvented the first impossibility result by giving a deterministic algorithm in…

A model-thoeretic version of Tarski's theorem
Jana Ma\v{r}\'ikov\'a
https://arxiv.org/abs/2507.08463 https://arxiv.org/pd…

A model-thoeretic version of Tarski's theorem
Working in any model theoretic structure, we single out a class of definable bipartite graphs that admit definable, close to perfect matchings. We use this result to prove a strengthening of Tarski's theorem for the definable setting.

Characterizing the Dynamics of Conspiracy Related German Telegram Conversations during COVID-19
Elisabeth H\"oldrich, Mathias Angermaier, Jana Lasser, Joao Pinheiro-Neto
https://arxiv.org/abs/2507.13398

Characterizing the Dynamics of Conspiracy Related German Telegram Conversations during COVID-19
Conspiracy theories have long drawn public attention, but their explosive growth on platforms like Telegram during the COVID-19 pandemic raises pressing questions about their impact on societal trust, democracy, and public health. We provide a geographical, temporal and network analysis of the structure of of conspiracy-related German-language Telegram chats in a novel large-scale data set. We examine how information flows between regional user groups and influential broadcasting channels, reve…

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/6]:
- Factor Informed Double Deep Learning For Average Treatment Effect Estimation
Jianqing Fan, Soham Jana, Sanjeev Kulkarni, Qishuo Yin

Enhanced Terahertz Thermoelectricity via Engineered van Hove Singularities and Nernst Effect in Moir\'e Superlattices
L. Elesin, A. L. Shilov, S. Jana, I. Mazurenko, P. A. Pantaleon, M. Kashchenko, N. Krivovichev, V. Dremov, I. Gayduchenko, G. Goltsman, T. Taniguchi, K. Watanabe, Y. Wang, E. I. Titova, D. A. Svintsov, K. S. Novoselov, D. A. Bandurin
https:/…

Enhanced Terahertz Thermoelectricity via Engineered van Hove Singularities and Nernst Effect in Moiré Superlattices
Thermoelectric materials, long explored for energy harvesting and thermal sensing, convert heat directly into electrical signals. Extending their application to the terahertz (THz) frequency range opens opportunities for low-noise, bias-free THz detection, yet conventional thermoelectrics lack the sensitivity required for practical devices. Thermoelectric coefficients can be strongly enhanced near van Hove singularities (VHS), though these are usually difficult to access in conventional materia…

Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
https://arxiv.org/abs/2509.11330

Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
The widespread use of plastics and their persistence in the environment have led to the accumulation of micro- and nano-plastics across air, water, and soil, posing serious health risks including respiratory, gastrointestinal, and neurological disorders. We propose a novel framework that leverages large language models to extract relational metapaths, multi-hop semantic chains linking pollutant sources to health impacts, from scientific abstracts. Our system identifies and connects entities acr…

Gravitational Wave Signature and the Nature of Neutrino Masses: Majorana, Dirac, or Pseudo-Dirac?
Sudip Jana, Sudip Manna, Vishnu P. K
https://arxiv.org/abs/2509.10456 https://

Gravitational Wave Signature and the Nature of Neutrino Masses: Majorana, Dirac, or Pseudo-Dirac?
The fermionic nature of neutrinos and the origin of their tiny masses remain unresolved issues in particle physics, intrinsically connected to lepton number symmetry-conserved for Dirac, violated for Majorana, and effectively pseudo-Dirac when global symmetries invoked for conservation are broken by quantum gravity. We investigate whether distinctive gravitational-wave (GW) signatures can illuminate the nature of neutrino masses and their underlying symmetries, particularly in scenarios where Y…

Replaced article(s) found for cs.DS. https://arxiv.org/list/cs.DS/new
[1/1]:
- Parameterized algorithms for block-structured integer programs with large entries
Jana Cslovjecsek, Martin Kouteck\'y, Alexandra Lassota, Micha{\l} Pilipczuk, Adam Polak

Effect of Magnetic Field on Neutral Bath Containing Charged Brownian Particles
Jana Tothova, Jan Busa, Vladimir Lisy
https://arxiv.org/abs/2508.11782 https://

Effect of Magnetic Field on Neutral Bath Containing Charged Brownian Particles
Based on the Zwanzig-Caldeira-Legget theory generalized to systems under the influence of a static magnetic field, we obtain equations of motion for the Brownian particle (BP) and oscillators constituting the bath in which the BP is embedded. The equations are of the type of a generalized Langevin equation, which accounts for the frictional memory of the system. The BP is assumed to be charged while the bath particles are neutral. They thus do not directly respond to the external field, but the…

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
Suryasis Jana, Subhrajyoty Roy, Ayanendranath Basu, Abhik Ghosh
https://arxiv.org/abs/2508.12426

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
The minimum density power divergence estimator (MDPDE) has gained significant attention in the literature of robust inference due to its strong robustness properties and high asymptotic efficiency; it is relatively easy to compute and can be interpreted as a generalization of the classical maximum likelihood estimator. It has been successfully applied in various setups, including the case of independent and non-homogeneous (INH) observations that cover both classification and regression-type pr…

High-precision baryon number cumulants from lattice QCD in a finite box: cumulant ratios, Lee-Yang zeros and critical endpoint predictions
Alexander Adam, Szabolcs Bors\'anyi, Zoltan Fodor, Jana N. Guenther, Piyush Kumar, Paolo Parotto, Attila P\'asztor, Chik Him Wong
https://arxiv.org/abs/2507.13254

High-precision baryon number cumulants from lattice QCD in a finite box: cumulant ratios, Lee-Yang zeros and critical endpoint predictions
We have performed high-statistics lattice simulations using 4HEX improved staggered fermions on $16^3 \times 8$ lattices. We calculated the Taylor expansion coefficients of the pressure with respect to the baryochemical potential to the tenth order at zero, and fourth order at purely imaginary chemical potentials. We used this data to construct rational function approximations of the free energy. We use a rational ansatz that explicitly satisfies the charge conjugation symmetry and the Roberge-…

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures
T\^am Johan Nguy\^en, Darrick Lee, Bernadette Jana Stolz

Trust@Health: A Trust-Based Multilayered Network for Scalable Healthcare Service Management
Avijit Gayen, Somyajit Chakraborty, Joydeep Chakraborty, Angshuman Jana
https://arxiv.org/abs/2508.11942

Trust@Health: A Trust-Based Multilayered Network for Scalable Healthcare Service Management
We study the intricate relationships within healthcare systems, focusing on interactions among doctors, departments, and hospitals. Leveraging an evolutionary graph framework, the proposed model emphasizes both intra-layer and inter-layer trust relationships to better understand and optimize healthcare services. The trust-based network facilitates the identification of key healthcare entities by integrating their social and professional interactions, culminating in a trust-based algorithm that …

Tracing Neutrino Non-Standard Interactions through Charged Lepton Collisions
Sudip Jana, Saumyen Kundu, Santosh Kumar Rai
https://arxiv.org/abs/2507.10703 …

Tracing Neutrino Non-Standard Interactions through Charged Lepton Collisions
Neutrino non-standard interactions (NSI) play a crucial role in neutrino oscillations and can provide valuable insights for constructing models of neutrino masses and mixing. While NSI have been widely explored through oscillation and scattering experiments, as well as in cosmological and astrophysical contexts, we focus on probing them at future lepton colliders like the ILC, CLIC, and FCC-$ee$. If NSI arise from heavy mediators above the electroweak scale, these colliders can offer superior s…

Investigation of competing magnetic orders and the associated spin-phonon coupling effect in quasi-2D Cr1 xTe2 (x = 0.22) single crystal
Gayathri V, Sathishkumar M, Sandip Kumar Kuila, Vikash Kumar, Abhidev B, Reshna Elsa Philip, Partha Pratim Jana, Soham Manni
https://arxiv.org/abs/2507.13760

Investigation of competing magnetic orders and the associated spin-phonon coupling effect in quasi-2D Cr1+xTe2 (x = 0.22) single crystal
Single crystals of quasi-2D chromium telluride system represented by Cr1+xTe2 (x = 0.22), which crystallizes in the trigonal structure with the c-axis as the growth direction, are synthesized by the flux method. The magnetization measurements revealed the coexistence and competition between ferromagnetic and antiferromagnetic exchange interactions due to the presence of the intercalated Cr-layers. A series of diverse magnetic transitions is exhibited by the crystal. While cooling the crystal, i…

Rethinking cryptophane A for methane gas sensing: cross sensitivity to N2 and CO2 at ambient conditions
Sebasti\'an Alberti, Thierry Brotin, Jana J\'agersk\'a
https://arxiv.org/abs/2507.10558

Rethinking cryptophane A for methane gas sensing: cross sensitivity to N2 and CO2 at ambient conditions
Since the affinity of Cryptophane-A for methane was first reported in 1993, cryptophane-doped polymer films have been extensively studied as enrichment cladding layers in plasmonic, fiber-optic, and integrated waveguide-based optical sensors. While the use of cryptophane-doped layers has improved methane sensitivity compared to undoped claddings, controversy has grown over the years regarding their claimed selectivity and practical applicability. Key questions remain unresolved, including the e…

🇺🇦 #NowPlaying on BBCRadio3's #Radio3sPromsCountdown
Vlachovo kvarteto Praha, Antonín Dvořšk, Jana Vlachovš, Karel Stadtherr, Petr Verner & Mikael Ericsson:
🎵 Waltz No 2 in D major
#VlachovokvartetoPraha #AntonínDvořák #JanaVlachová #KarelStadtherr #PetrVerner