Tootfinder

Yield Sec: illegal gambling operators captured 71% of Europe's online betting and casino market in 2024, or €80.65B, as regulators struggle with crypto casinos (Navya Menon/Bloomberg)
https://www.bloomberg.com/news/articles/20

"Clearing Gaza rubble could yield 90,000 tonnes of planet-heating emissions"
#Gaza #Emissions
https://www.

Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
Asghar A. Jadoon, Ravi G. Patel, Brian N. Granzow, Reese E. Jones, D. Thomas Seidl, Jan N. Fuhg
https://arxiv.org/abs/2508.15923

Thermodynamically Consistent Hybrid and Permutation-Invariant Neural Yield Functions for Anisotropic Plasticity
Plastic anisotropy in metals remains challenging to model. This is partly because conventional phenomenological yield criteria struggle to combine a highly descriptive, flexible representation with constraints, such as convexity, dictated by thermodynamic consistency. To address this gap, we employ architecturally-constrained neural networks and develop two data-driven frameworks: (i) a hybrid model that augments the Hill yield criterion with an Input Convex Neural Network (ICNN) to get an anis…

Embedding Font Impression Word Tags Based on Co-occurrence
Yugo Kubota, Seiichi Uchida
https://arxiv.org/abs/2508.18825 https://arxiv.org/pdf/2508.18825

Embedding Font Impression Word Tags Based on Co-occurrence
Different font styles (i.e., font shapes) convey distinct impressions, indicating a close relationship between font shapes and word tags describing those impressions. This paper proposes a novel embedding method for impression tags that leverages these shape-impression relationships. For instance, our method assigns similar vectors to impression tags that frequently co-occur in order to represent impressions of fonts, whereas standard word embedding methods (e.g., BERT and CLIP) yield very diff…

Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation
Rishikesh Devanathan, Varun Nathan, Ayush Kumar
https://arxiv.org/abs/2508.18210 …

Why Synthetic Isn't Real Yet: A Diagnostic Framework for Contact Center Dialogue Generation
Synthetic transcript generation is critical in contact center domains, where privacy and data scarcity limit model training and evaluation. Unlike prior synthetic dialogue generation work on open-domain or medical dialogues, contact center conversations are goal-oriented, role-asymmetric, and behaviorally complex, featuring disfluencies, ASR noise, and compliance-driven agent actions. In deployments where transcripts are unavailable, standard pipelines still yield derived call attributes such a…

Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone
https://arxiv.org/abs/2506.20553

Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
Learning-based robotic systems demand rigorous validation to assure reliable performance, but extensive real-world testing is often prohibitively expensive, and if conducted may still yield insufficient data for high-confidence guarantees. In this work, we introduce a general estimation framework that leverages paired data across test platforms, e.g., paired simulation and real-world observations, to achieve better estimates of real-world metrics via the method of control variates. By incorpora…

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
Osama Zafar, Rosemarie Santa Gonz\'alez, Mina Namazi, Alfonso Morales, Erman Ayday
https://arxiv.org/abs/2506.20872

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
Data-driven agriculture, which integrates technology and data into agricultural practices, has the potential to improve crop yield, disease resilience, and long-term soil health. However, privacy concerns, such as adverse pricing, discrimination, and resource manipulation, deter farmers from sharing data, as it can be used against them. To address this barrier, we propose a privacy-preserving framework that enables secure data sharing and collaboration for research and development while mitigat…

Decomposing the Diagonals of Invariant Fields
David J Saltman
https://arxiv.org/abs/2508.18471 https://arxiv.org/pdf/2508.18471

Decomposing the Diagonals of Invariant Fields
This work begins the process of using the decomposition of the diagonal as a tool for studying the rationality of invariant fields of finite groups $G$. Our ground field must be characteristic 0 because of the use we make of Bertini theorems. The steps we take are, first, defining and studying an "open" version of Chow zero. Second, we use this to translate our study to that of a Chow group of $G$ Galois extensions. We prove a "Sylow" property and thereby yield a connection between the invarian…

Predictability Enables Parallelization of Nonlinear State Space Models
Xavier Gonzalez, Leo Kozachkov, David M. Zoltowski, Kenneth L. Clarkson, Scott W. Linderman
https://arxiv.org/abs/2508.16817

Predictability Enables Parallelization of Nonlinear State Space Models
The rise of parallel computing hardware has made it increasingly important to understand which nonlinear state space models can be efficiently parallelized. Recent advances like DEER (arXiv:2309.12252) or DeepPCR (arXiv:2309.16318) have shown that evaluating a state space model can be recast as solving a parallelizable optimization problem, and sometimes this approach can yield dramatic speed-ups in evaluation time. However, the factors that govern the difficulty of these optimization problems …

IBIS: Inverse BInomial sum Solver
Paul A. J. W. van Hoegaerden, Coenraad B. Marinissen, Wouter J. Waalewijn
https://arxiv.org/abs/2506.19904 https://

IBIS: Inverse BInomial sum Solver
In higher-loop calculations, Mellin-Barnes representations are used to simplify the denominators encountered in Feynman parameter integrals. The contour integral of these representations yield sums over residues. We extend the classes of such sums that can be calculated, to include those involving inverse binomials. Our results are expressed in terms of so-called $S$-sums, where the dependence on the upper limit of the sum is analytic. This is accomplished by deriving several new recursion rela…

Quantum-Accelerated Wireless Communications: Concepts, Connections, and Implications
Naoki Ishikawa, Giuseppe Thadeu Freitas de Abreu, Petar Popovski, Robert W. Heath Jr
https://arxiv.org/abs/2506.20863

Quantum-Accelerated Wireless Communications: Concepts, Connections, and Implications
Quantum computing is poised to redefine the algorithmic foundations of communication systems. While quantum superposition and entanglement enable quadratic or exponential speedups for specific problems, identifying use cases where these advantages yield engineering benefits is, however, still nontrivial. This article presents the fundamentals of quantum computing in a style familiar to the communications society, outlining the current limits of fault-tolerant quantum computing and uncovering a …

Notes on Degeneracy and Robustness
Indrakshi Dey, Nicola Marchetti
https://arxiv.org/abs/2506.19974 https://arxiv.org/pdf/2506.19974

Notes on Degeneracy and Robustness
Degeneracy is the ability of structurally different elements to perform the same function or yield the same output under certain constraints. In contrast to redundancy, which implies identical backups, degeneracy allows diverse components to step in and perform the same or similar role. Mathematically, it is about mapping multiple distinct elements into the same function. In a degenerate system, failure in one part can be compensated by others not structurally linked. System functions are distr…

Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties
A. Leonid Heide, Shih-Chi Liao, Sergio Castiblanco-Ballesteros, Gustaaf B. Jacobs, Peter Seiler, Maziar S. Hemati
https://arxiv.org/abs/2508.16800

Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties
Obtaining predictive low-order models is a central challenge in fluid dynamics. Data-driven frameworks have been widely used to obtain low-order models of aerodynamic systems; yet, resulting models tend to yield predictions that grow unbounded with time. Recently introduced stability-promoting methods can facilitate the identification of bounded models, but tend to require extensive brute-force tuning even in the context of simple academic systems. Here, we show how recent theoretical advances …

High Temperature Quantum Emission from Covalently Functionalized van der Waals Heterostructures
S. Carin Gavin, Hsun-Jen Chuang, Anushka Dasgupta, Moumita Kar, Kathleen M. McCreary, Sung-Joon Lee, M. Iqbal Bakti Utama, Xiangzhi Li, George C. Schatz, Tobin J. Marks, Mark C. Hersam, Berend T. Jonker, Nathaniel P. Stern
https://arx…

High Temperature Quantum Emission from Covalently Functionalized van der Waals Heterostructures
Two-dimensional (2D) transition metal dichalcogenides (TMDs) are attractive nanomaterials for quantum information applications due to single photon emission (SPE) from atomic defects, primarily tungsten diselenide (WSe2) monolayers. Defect and strain engineering techniques have been developed to yield high purity, deterministically positioned SPE in WSe2. However, a major challenge in application of these techniques is the low temperature required to observe defect-bound TMD exciton emission, t…

This https://arxiv.org/abs/2412.11648 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nuc…

Isotopic Transparency in Central Xe+Sn Collisions at 100 MeV/nucleon
A new method, based on comparing isotopic yield ratios measured at forward and sideward polar angles and on cross-bombarding heavy nuclei with different neutron-to-proton ratios, is used to quantify the stopping power of nuclear matter in heavy-ion collisions. For central collisions of isotopically separated $^{124,129}$Xe+$^{112,124}$Sn at 100~MeV/nucleon bombarding energy, measured with the 4$π$ multidetector INDRA at GSI, a moderate transparency is deduced for hydrogen isotopes, whereas for…

NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Maryam Ghasemzadeh, Anton van Beek
https://arxiv.org/abs/2508.16476

NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
Multi-objective Bayesian optimization (MOBO) struggles with sparse (non-space-filling), scarce (limited observations) datasets affected by experimental uncertainty, where identical inputs can yield varying outputs. These challenges are common in physical and simulation experiments (e.g., randomized medical trials and, molecular dynamics simulations) and are therefore incompatible with conventional MOBO methods. As a result, experimental resources are inefficiently allocated, leading to suboptim…

Cascade at local yield strain for silica and metallic glass
Nandlal Pingua, Himani Rautela, Roni Chatterjee, Smarajit Karmakar, Pinaki Chaudhuri, Shiladitya Sengupta
https://arxiv.org/abs/2506.17129

Cascade at local yield strain for silica and metallic glass
We report observations of unusal \emph{first} plastic events in silica and metallic glasses in the shear startup regime at applied strain two orders of magnitude smaller than yield strain. The (non-Affine) particle displacement field during these events have complex real space structure with multiple disconnected cores of high displacement appearing at the \emph{same} applied strain under athermal quasistatic simple shear deformation, and identified by a ``cell based cluster analysis'' method. …

Yield, noise and timing studies of ALICE ITS3 stitched sensor test structures: the MOST
Jory Sonneveld (on behalf of the ALICE collaboration), Ren\'e Barthel (on behalf of the ALICE collaboration), Szymon Bugiel (on behalf of the ALICE collaboration), Leonardo Cecconi (on behalf of the ALICE collaboration), Jo\~ao De Melo (on behalf of the ALICE collaboration), Martin Fransen (on behalf of the ALICE collaboration), Alessandro Grelli (on behalf of the ALICE collaboration), Isis Hobu…

Yield, noise and timing studies of ALICE ITS3 stitched sensor test structures: the MOST
In the LHC long shutdown 3, the ALICE experiment upgrades the inner layers of its Inner Tracker System with three layers of wafer-scale stitched sensors bent around the beam pipe. Two stitched sensor evaluation structures, the MOnolithic Stitched Sensor (MOSS) and MOnolithic Stitched Sensor with Timing (MOST) allow the study of yield dependence on circuit density, power supply segmentation, stitching demonstration for power and data transmission, performance dependence on reverse bias, charge c…

Weak unitary symmetries of open quantum dynamics: beyond quantum master equations
Calum A. Brown, Robert L. Jack, Katarzyna Macieszczak
https://arxiv.org/abs/2506.19814

Weak unitary symmetries of open quantum dynamics: beyond quantum master equations
We consider Markovian open quantum dynamics with weak unitary symmetries. Starting from the quantum master equation for the system alone, it is known that the joint dynamics of the system and its environment can be obtained by dilation, leading to a closed dynamics for a continuous matrix product state. Performing counting measurements on the environment gives rise to stochastic dynamics of quantum trajectories for the system, which when averaged yield back the quantum master equation. In this …

An Analytic Prime Indicator Based on the Fejer Kernel
Sebastian Fuchs
https://arxiv.org/abs/2506.18933 https://arxiv.org/pdf/2506.189…

An Analytic Prime Indicator Based on the Fejer Kernel
This note introduces an analytic prime indicator, constructed by smoothing a trigonometric analogue of trial division. First, a function P: R -> R of class C1 is presented, whose zeros for x > 2 correspond precisely to the odd primes. Its second derivative exhibits jump discontinuities at integer squares. Subsequently, it is shown how this construction can be modified via an infinite series to yield a globally smooth function, P_phi, of class C-inf that preserves this prime-zero property. As a …

An equation-based batch distillation simulation to evaluate the effect of multiplicities in thermodynamic activity coefficients
Jennifer Werner, Jochen Schmid, Lorenz T. Biegler, Michael Bortz
https://arxiv.org/abs/2506.21483

An equation-based batch distillation simulation to evaluate the effect of multiplicities in thermodynamic activity coefficients
In this paper, we investigate the influence of multiplicities in activity coefficients on batch distillation processes. In order to do so, we develop a rigorous simulation of batch distillation processes based on the MESH equations. In particular, we propose a novel index reduction method to transform the original index-$2$ system into a well-posed differential-algebraic system of index $1$. With the help of this simulation, we then explore whether the alternative NRTL parameters, which yield i…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- Artificial Intelligence for Green Hydrogen Yield Prediction and Site Suitability using SHAP-Based...
Obumneme Zimuzor Nwafor, Mohammed Abdul Majeed Al Hooti

Notes on Deterministic and Stochastic Approaches in Electromagnetic Information Theory
Marco Donald Migliore
https://arxiv.org/abs/2508.16601 https://arxiv…

Notes on Deterministic and Stochastic Approaches in Electromagnetic Information Theory
This paper investigates the relationship between the Number of Degrees of Freedom ($N_{\rm DoF}$) of the field in deterministic and stochastic source models within Electromagnetic Information Theory (EIT). Our findings demonstrate a fundamental connection between these two approaches. Specifically, we show that a deterministic model and a stochastic model with a spatially incoherent and homogeneous source yield not only the same $N_{\rm DoF}$ but also identical eigenvalues and basis functions f…

Replaced article(s) found for cs.CG. https://arxiv.org/list/cs.CG/new
[1/1]:
- Hamiltonian Quasigeodesics yield Nets
Joseph O'Rourke
htt…

🪴 New 'gene gun' design boosts efficiency of plant genetic modification
#plants

New 'gene gun' design boosts efficiency of plant genetic modification
Plant scientists have used a standard "gene gun" since 1988 to genetically modify crops for better yield, nutrition, pest resistance and other valuable traits.

Uneven Lives III 👁️
不工整人生 III 👁️
📷 Minolta Hi-Matic AF
🎞️ERA 100, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

On MAP estimates and source conditions for drift identification in SDEs
Daniel Tenbrinck, Nikolas Uesseler, Philipp Wacker, Benedikt Wirth
https://arxiv.org/abs/2507.18443 https…

On MAP estimates and source conditions for drift identification in SDEs
We consider the inverse problem of identifying the drift in an SDE from $n$ observations of its solution at $M+1$ distinct time points. We derive a corresponding MAP estimate, we prove differentiability properties as well as a so-called tangential cone condition for the forward operator, and we review the existing theory for related problems, which under a slightly stronger tangential cone condition would additionally yield convergence rates for the MAP estimate as $n\to\infty$. Numerical simul…

Graph theoretic properties of Speyer's matroid polynomial $g_M(t)$
Erik Panzer
https://arxiv.org/abs/2506.18788 https://arxiv.org…

Graph theoretic properties of Speyer's matroid polynomial $g_M(t)$
We prove relations between the number of $k$-connected components of a graph, Crapo's invariant $β(M)$ of a matroid, and Speyer's polynomial $g_M(t)$. These yield a simple interpretation of $g_M'(-1)$ when $M$ is graphic or cographic. Furthermore, we improve Ferroni's algorithm to compute $g_M(t)$ and provide an implementation and an extensive data set. These calculations reveal a large number of graph theoretic constraints on the second derivative $g_M''(-1)$, which we thus advertise as an in…

Some mining today on Albion Asia when Albion EU was offline for maintenance.
As of this moment the guild "Mastodon Fediverse 100 Tax" got 8 members and 3 are online including me.
#AlbionOnline #MastodonFediAsia

Fuck. Killed by an SUV failing to yield. He was a badass. I saw them in Milwaukee once and they were spectacular.
RIP
#HeavyMetal #guitar

Former Mastodon guitarist Brent Hinds dies aged 51 following fatal motorcycle accident
The metal guitar great died in Atlanta last night while riding his Harley Davidson

Large-scale concentration and relaxation for mean-field Langevin particle systems
Songbo Wang
https://arxiv.org/abs/2508.16428 https://arxiv.org/pdf/2508.1…

Large-scale concentration and relaxation for mean-field Langevin particle systems
We study the Langevin dynamics of diffusive particles with regular pairwise interactions under mean-field scaling. By approximating empirical distributions with conditional distributions, we establish coercive and contractive properties for the modulated free energy functional. These properties yield near-optimal large-scale concentration and relaxation rates for the particle system throughout the subcritical regime. Furthermore, we derive generation of chaos estimates with the optimal order of…

Bounding Conditional Value-at-Risk via Auxiliary Distributions with Bounded Discrepancies
Yaacov Pariente, Vadim Indelman
https://arxiv.org/abs/2507.18129 https://

Bounding Conditional Value-at-Risk via Auxiliary Distributions with Bounded Discrepancies
In this paper, we develop a theoretical framework for bounding the CVaR of a random variable $X$ using another related random variable $Y$, under assumptions on their cumulative and density functions. Our results yield practical tools for approximating $\operatorname{CVaR}_α(X)$ when direct information about $X$ is limited or sampling is computationally expensive, by exploiting a more tractable or observable random variable $Y$. Moreover, the derived bounds provide interpretable concentration …

Dershowitz casts doubt that grand jury testimony will yield answers on Epstein (Gregory Svirnovskiy/Politico)
https://www.politico.com/news/2025/07/20/dershowitz-grand-jury-testimony-epstein-answers-00464976
http://www.memeorandum.com/250720/p56#a250720p56

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
https://arxiv.org/abs/2507.18392 https://

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
The evaluation of Large Language Models (LLMs) increasingly relies on other LLMs acting as judges. However, current evaluation paradigms typically yield a single score or ranking, answering which model is better but not why. While essential for benchmarking, these top-level scores obscure the specific, actionable reasons behind a model's performance. To bridge this gap, we introduce CLEAR, an interactive, open-source package for LLM-based error analysis. CLEAR first generates per-instance textu…

Striped excitonic (super)solid in anisotropic semiconductors with screened exciton interactions
J. F. de Oliveira Neto, F. M. A. Guimar\~aes, Davi S. Dantas, F. M. Peeters, M. V. Milo\v{s}evi\'c, A. Chaves
https://arxiv.org/abs/2506.19685

Striped excitonic (super)solid in anisotropic semiconductors with screened exciton interactions
Within the Gross-Pitaevskii framework, we reveal the emergence of a crystallized phase of an exciton condensate in an atomically-thin anisotropic semiconductor, where screening of exciton-exciton interactions is introduced by a proximal doped graphene layer. While such screened interactions are expected to yield a hexagonal crystal lattice in the excitonic condensate in isotropic semiconductor quantum wells [see e.g. Phys. Rev. Lett. \textbf{108}, 060401 (2012)], here we show that for atomicall…

Hyperelastic nature of the Hoek-Brown criterion
Ilaria Fontana, Goustan Bacquaert, Daniele A. Di Pietro, Kyrylo Kazymyrenko
https://arxiv.org/abs/2507.15813

Hyperelastic nature of the Hoek-Brown criterion
We propose a nonlinear elasto-plastic model, for which a specific class of hyperbolic elasticity arises as a straight consequence of the yield criterion invariance on the plasticity level. We superimpose this nonlinear elastic (or hyperelastic) behavior with plasticity obeying the associated flow rule. Interestingly, we find that a linear yield criterion on the thermodynamical force associated with plasticity results in a quadratic yield criterion in the stress space. This suggests a specific h…

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
Jiahui Yin, Xinxing Cheng, Jinming Duan, Yan Pang, Declan O'Regan, Hadrien Reynaud, Qingjie Meng
https://arxiv.org/abs/2507.17678

MCM: Mamba-based Cardiac Motion Tracking using Sequential Images in MRI
Myocardial motion tracking is important for assessing cardiac function and diagnosing cardiovascular diseases, for which cine cardiac magnetic resonance (CMR) has been established as the gold standard imaging modality. Many existing methods learn motion from single image pairs consisting of a reference frame and a randomly selected target frame from the cardiac cycle. However, these methods overlook the continuous nature of cardiac motion and often yield inconsistent and non-smooth motion estim…

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations
Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
https://arxiv.org/abs/2507.17323

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations
Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, underscoring the importance of timely polyp detection and diagnosis. While deep learning models have improved optical-assisted diagnostics, they often demand extensive labeled datasets and yield "black-box" outputs with limited interpretability. In this paper, we propose EndoFinder, an online polyp retrieval framework that leverages multi-view scene representations for explainable and scalable CRC diagnosis. First, we …

Investitionen in #Klimaanpassung zahlen sich aus.
Laut einer Analyse des World Resources Institute bringen sie im Schnitt mehr als das Zehnfache des eingesetzten Kapitals zurück.
Besonders hohe Renditen wurden im #Gesundheitswesen und bei der

Measurement of inclusive $J/\psi$ production in Au Au collisions at $\sqrt{s_\mathrm{NN}} = 54.4$ GeV at STAR
The STAR Collaboration
https://arxiv.org/abs/2506.20962

Measurement of inclusive $J/ψ$ production in Au+Au collisions at $\sqrt{s_\mathrm{NN}} = 54.4$ GeV at STAR
This article presents measurements of inclusive $J/ψ$ production at midrapidity ($\left|y\right| <$ 1.0) in Au+Au collisions at $\sqrt{s_\mathrm{NN}} = 54.4$ GeV with the STAR detector at the Relativistic Heavy Ion Collider. A suppression of the $J/ψ$ yield, quantified using the nuclear modification factors ($R_{\mathrm{AA}}$, $R_{\mathrm{CP}}$), is observed with respect to the scaled production in $p$+$p$ collisions. The dependence of $R_{\mathrm{AA}}$ on collision centrality and $…

Energy-dependent gamma-ray morphology Estimation Tool in Gammapy
K. Feijen, R. Terrier, B. Kh\'elifi, A. Sinha, A. Donath, A. Mitchell, Q. Remy
https://arxiv.org/abs/2507.17622

Energy-dependent gamma-ray morphology Estimation Tool in Gammapy
An understanding of the energy dependence of gamma-ray sources can yield important information on the underlying emission mechanisms. However, despite the detection of energy-dependent morphologies in many TeV sources, we lack a proper quantification of such measurements. We introduce an estimation tool within the Gammapy landscape, an open-source Python package for the analysis of gamma-ray data, to quantify the energy-dependent morphology of a gamma-ray source. The proposed method for this es…

Multi-timescale frequency-phase matching for high-yield nonlinear photonics
Mahmoud Jalali Mehrabad, Lida Xu, Gregory Moille, Christopher J. Flower, Supratik Sarkar, Apurva Padhye, Shao-Chien Ou, Daniel G. Suarez-Forero, Mahdi Ghafariasl, Yanne Chembo, Kartik Srinivasan, Mohammad Hafezi
https://arxiv.org/abs/2506.15016

Multi-timescale frequency-phase matching for high-yield nonlinear photonics
Integrated nonlinear photonic technologies, even with state-of-the-art fabrication with only a few nanometer geometry variations, face significant challenges in achieving wafer-scale yield of functional devices. A core limitation lies in the fundamental constraints of energy and momentum conservation laws. Imposed by these laws, nonlinear processes are subject to stringent frequency and phase matching (FPM) conditions that cannot be satisfied across a full wafer without requiring a combination …

Ukraine's Naftogaz brings new high-yield gas well online as country reserves run low: https://benborges.xyz/2025/07/08/ukraines-naftogaz-brings-new-highyield.html

BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation
Eden Wu, Dishita G Turakhia, Guande Wu, Christos Koutras, Sarah Keegan, Wenke Liu, Beata Szeitz, David Fenyo, Cl\'audio T. Silva, Juliana Freire
https://arxiv.org/abs/2507.16117

BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation
Biomedical data harmonization is essential for enabling exploratory analyses and meta-studies, but the process of schema matching - identifying semantic correspondences between elements of disparate datasets (schemas) - remains a labor-intensive and error-prone task. Even state-of-the-art automated methods often yield low accuracy when applied to biomedical schemas due to the large number of attributes and nuanced semantic differences between them. We present BDIViz, a novel visual analytics sy…

Gaussian Process Modeling with Genotype x Environment Kernels for Wheat Performance Prediction
Lea Friedli, Tim Steinert, Nathalie Wuyts, Fabian Guignard, Lilia Levy H\"aner, Didier Pellet, Juan M. Herrera, David Ginsbourger
https://arxiv.org/abs/2508.17730

Gaussian Process Modeling with Genotype x Environment Kernels for Wheat Performance Prediction
Optimizing wheat variety selection for high performance in different environmental conditions is critical for reliable food production and stable incomes for growers. We employ a statistical machine learning framework utilizing Gaussian Process (GP) models to capture the effects of genetic and environmental factors on wheat yield and protein content. In doing so, selecting suitable covariance kernels to account for the distinct characteristics of the information is essential. The GP approach is…

Do AI models help produce verified bug fixes?
Li Huang, Ilgiz Mustafin, Marco Piccioni, Alessandro Schena, Reto Weber, Bertrand Meyer
https://arxiv.org/abs/2507.15822

Do AI models help produce verified bug fixes?
Among areas of software engineering where AI techniques -- particularly, Large Language Models -- seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills? To answer these q…

Atomic layer etching of InGaAs using sequential exposures of atomic hydrogen and oxygen gas
Mete M. Bayrak, Anthony J. Ardizzi, Sadhvikas Addamane, Kieran Cleary, Austin J. Minnich
https://arxiv.org/abs/2506.19749

Atomic layer etching of InGaAs using sequential exposures of atomic hydrogen and oxygen gas
The high frequency performance and yield of III-V semiconductor devices such as InP HEMTs is negatively impacted by subsurface etch damage and non-uniform etch depth over the wafer. Atomic layer etching (ALE) has the potential to overcome this challenge because of its ability to etch with Angstrom-scale precision, low damage, and intrinsic wafer-scale uniformity. Here, we report an ALE process for InGaAs based on sequential atomic hydrogen and oxygen gas exposures. An etch rate of 0.095 Å/cycl…

Spinning and random quotients preserve hierarchical hyperbolicity
Carolyn Abbott, Daniel Berlyne, Giorgio Mangioni, Thomas Ng, Alexander J. Rasmussen
https://arxiv.org/abs/2507.16677

Spinning and random quotients preserve hierarchical hyperbolicity
In this paper we consider random quotients of hierarchically hyperbolic groups, obtained by taking the quotient of the group by the n-th steps of a finite family of independent random walks. We show that a random quotient of a hierarchically hyperbolic group is again hierarchically hyperbolic asymptotically almost surely. The same techniques also yield that a random quotient of a non-elementary hyperbolic group (relative to a finite collection of peripheral subgroups) is asymptotically almost s…

"Community efforts yield new marine protected area in the Philippines"
#Philippines #Environment #Oceans #CoralReef

Community efforts yield new marine protected area in the Philippines
The Philippines has officially designated a new marine protected area after an 18-year campaign by local communities, fisher associations, civil society organizations and government agencies, the Wildlife Conservation Society announced Aug. 13. The newly created Bitaug Marine Protected Area (MPA), which covers nearly 150 hectares (about 370 acres), is the largest MPA in Siquijor province […]

Quantum vs. semiclassical description of in-QGP quarkonia in the quantum Brownian regime
Aoumeur Daddi-Hammou, St\'ephane Delorme, Jean-Paul Blaizot, Pol Bernard Gossiaux, Thierry Gousset
https://arxiv.org/abs/2506.19194

Quantum vs. semiclassical description of in-QGP quarkonia in the quantum Brownian regime
In this work, we explore the range of validity of the semiclassical approximation of a quantum master equation designed to describe the $c\bar{c}$ dynamics in a quark gluon plasma at various temperatures, in the quantum Brownian regime. We perform a comparative study of various properties, e.g. the charmonia yield, of the Wigner density obtained with the Lindblad equation and with the associated semiclassical Fokker-Planck equation. The semiclassical description is found to reproduce with a rem…

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
https://arxiv.org/abs/2507.18584

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
Despite the impressive performance of large language models (LLMs) in general domains, they often underperform in specialized domains. Existing approaches typically rely on data synthesis methods and yield promising results by using unlabeled data to capture domain-specific features. However, these methods either incur high computational costs or suffer from performance limitations, while also demonstrating insufficient generalization across different tasks. To address these challenges, we prop…

This https://arxiv.org/abs/2505.22784 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi
We present the first formal treatment of \emph{yield tokenization}, a mechanism that decomposes yield-bearing assets into principal and yield components to facilitate risk transfer and price discovery in decentralized finance (DeFi). We propose a model that characterizes yield token dynamics using stochastic differential equations. We derive a no-arbitrage pricing framework for yield tokens, enabling their use in hedging future yield volatility and managing interest rate risk in decentralized l…

The Senator Will Not Yield -- REVIEW: 'Charles Sumner: Conscience of a Nation' by Zaakir Tameez (H.W. Brands/The Washington Free Beacon)
https://freebeacon.com/culture/the-senator-will-not-yield/
http://www.memeorandum.com/250810/p18#a250810p18

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
Zian Zhuang, Wen Su, Eric Kawaguchi, Gang Li
https://arxiv.org/abs/2507.15040

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
Evaluating and validating the performance of prediction models is a fundamental task in statistics, machine learning, and their diverse applications. However, developing robust performance metrics for competing risks time-to-event data poses unique challenges. We first highlight how certain conventional predictive performance metrics, such as the C-index, Brier score, and time-dependent AUC, can yield undesirable results when comparing predictive performance between different prediction models.…

Moduli Theory of the $r$-Braid Arrangement
Vance Blankers, Emily Clader, Iva Halacheva, Haggai Liu, Dustin Ross
https://arxiv.org/abs/2506.18205 https://…

Moduli Theory of the $r$-Braid Arrangement
We describe a family of hyperplane arrangements depending on a positive integer parameter $r$, which we refer to as the $r$-braid arrangements, and which can be viewed as a generalization of the classical braid arrangement. The wonderful compactification of the braid arrangement (with respect to its minimal building set) is well-known to yield the moduli space $\overline{\mathcal{M}}_{0,n}$, and, in this work, we generalize this result, constructing a moduli space $\overline{\mathcal{M}}^r_{n}$…

On an Abstraction of Lyapunov and Lagrange Stability
Michelangelo Bin, David Angeli
https://arxiv.org/abs/2507.15047 https://arxiv.or…

On an Abstraction of Lyapunov and Lagrange Stability
This paper studies a set-theoretic generalization of Lyapunov and Lagrange stability for abstract systems described by set-valued maps. Lyapunov stability is characterized as the property of inversely mapping filters to filters, Lagrange stability as that of mapping ideals to ideals. These abstract definitions unveil a deep duality between the two stability notions, enable a definition of global stability for abstract systems, and yield an agile generalization of the stability theorems for basi…

🌮 Corn after soy: New study quantifies rotation benefits and trade-offs
#corn

Corn after soy: New study quantifies rotation benefits and trade-offs
While the majority of Midwestern farmers rotate corn and soybeans, commodity prices and corn yield advantages compel some to plant corn year after year. Although foundational research on the benefits of corn-soybean rotation goes back decades, University of Illinois Urbana-Champaign scientists are working to address remaining holistic questions about crop yield, environmental impacts, and economic returns under various crop rotation scenarios.

Optimal trap cropping investments to maximize agricultural yield
Matthew H Holden
https://arxiv.org/abs/2508.05896 https://arxiv.org/pdf/2508.05896

Optimal trap cropping investments to maximize agricultural yield
Trap cropping is a pest management strategy where a grower plants an attractive "trap crop" alongside the primary crop to divert pests away from it. We propose a simple framework for optimizing the proportion of a grower's field or greenhouse allocated to a main crop and a trap crop to maximize agricultural yield. We implement this framework using a model of pest movement governed by trap crop attractiveness, the potential yield threatened by pests, and functional relationships between yield lo…

What's the opposite of a snowbird? I'm going to start summering in Montreal. Or even further north..
https://flipboard.com/@gothamist/gothamist-igeoft02z/-/a-8mMvqdG0TBu8rLQV9dpBmg:a:3807498986-/0

Heavy storms, possible flooding expected for NYC area Monday amid ‘tropical-like’ air
A “tropical-like” air mass could yield heavy showers, thunderstorms and wind gusts Monday across the New York City region, the National Weather …

Albion EU was offline, now probably not.
During that time I went for a 30 minute pork pie mining round in Believer Tor(T5) on the Albion Online Asia server.
This is some data I noted down on etherpad based on my mining round.
I got 42k silver as you can see. Not much...maybe that's like a joke to you...
#AlbionOnline

Investigation of the neutron-proton effective mass splitting via heavy ion collisions: Constraints and Implications
Junping Yang, Meiqi Sun, Ying Cui, Yangyang Liu, Zhuxia Li, Kai Zhao, Yingxun Zhang
https://arxiv.org/abs/2506.17973

Investigation of the neutron-proton effective mass splitting via heavy ion collisions: Constraints and Implications
The neutron-proton effective mass splitting ($Δm^*_{np}$) is investigated through analyses of heavy-ion collisions using the improved quantum molecular dynamics (ImQMD) model with both standard and extended Skyrme interactions. By uncovering the strong correlation between the slope of the neutron-to-proton yield ratio with respect to the kinetic energy (i.e., $S_{n/p} $) and $Δm^*_{np}$, we reveal that the constraints of the neutron-proton effective mass splitting via heavy ion collisions dep…

#Coroutines in #PHP: Functions That Can Pause and Resume ⏸️
🔄 #Generators provide asymmetric, stackless coroutines - can pause execution with yield keyword and resume with next() method…

NFL's top 10 defenses in 2025? Broncos edge out Eagles and Ravens for No. 1 spot; Patriots will rise https://www.nfl.com/news/nfl-s-top-10-defenses-in-2025-broncos-edge-out-eagles-and-ravens-for-no-1-spot-patriots-will-…

First RAG, Second SEG: A Training-Free Paradigm for Camouflaged Object Detection
Wutao Liu, YiDan Wang, Pan Gao
https://arxiv.org/abs/2508.15313 https://ar…

First RAG, Second SEG: A Training-Free Paradigm for Camouflaged Object Detection
Camouflaged object detection (COD) poses a significant challenge in computer vision due to the high similarity between objects and their backgrounds. Existing approaches often rely on heavy training and large computational resources. While foundation models such as the Segment Anything Model (SAM) offer strong generalization, they still struggle to handle COD tasks without fine-tuning and require high-quality prompts to yield good performance. However, generating such prompts manually is costly…

Transaction Profiling and Address Role Inference in Tokenized U.S. Treasuries
Junliang Luo, Katrin Tinn, Samuel Ferreira Duran, Di Wu, Xue Liu
https://arxiv.org/abs/2507.14808

Transaction Profiling and Address Role Inference in Tokenized U.S. Treasuries
Tokenized U.S. Treasuries have emerged as a prominent subclass of real-world assets (RWAs), offering cryptographically enforced, yield-bearing instruments collateralized by sovereign debt and deployed across multiple blockchain networks. While the market has expanded rapidly, empirical analyses of transaction-level behaviour remain limited. This paper conducts a quantitative, function-level dissection of U.S. Treasury-backed RWA tokens including BUIDL, BENJI, and USDY, across multi-chain: mostl…

Universal Error Correction for Distributed Quantum Computing
Daowen Qiu, Ligang Xiao, Le Luo, Paulo Mateus
https://arxiv.org/abs/2508.15580 https://arxiv.o…

Universal Error Correction for Distributed Quantum Computing
In distributed quantum computing, the final solution of a problem is usually achieved by catenating these partial solutions resulted from different computing nodes, but intolerable errors likely yield in this catenation process. In this paper, we propose a universal error correction scheme to reduce errors and obtain effective solutions. Then, we apply this error correction scheme to designing a distributed phase estimation algorithm that presents a basic tool for studying distributed Shor's al…

Effect of organic fertilizer and nano calcium spray on growth, yield and storage characteristics of fig fruits cv. waziri
Aram Sabir Ahmed, Mohamad Abdul Aziz Lateef
https://arxiv.org/abs/2507.11578

Effect of organic fertilizer and nano calcium spray on growth, yield and storage characteristics of fig fruits cv. waziri
This study was carried out to estimate the effect of organic fertilizer and Nano Calcium spray on the growth, yield, and storage of fig fruits cv. Waziri. It was conducted in the village of Kani Sard in the Sharbazhir district near the Sitak area. This is about 35 km northeast of the center of Sulaymaniyah. This study was conducted at 54 plants with three-year-old fig trees cultivated using the cordon method during the 2024 growth season. The controlled environment of the plastic house enabled …

Interact or Twist: Cosmological Correlators from Field Redefinitions Revisited
Donggang Wang, Xiangwei Wang, Yi Wang, Wenqi Yu
https://arxiv.org/abs/2508.12856 https://

Interact or Twist: Cosmological Correlators from Field Redefinitions Revisited
In cosmology, correlation functions on a late-time boundary can arise from both field redefinitions and bulk interactions, which are usually believed to generate distinct results. In this letter, we propose a counterexample showcasing that correlators from local field redefinitions can be identical to the ones from bulk interactions. In particular, we consider a two-field model in de Sitter space, where the field space gets twisted by field redefinitions to yield a nontrivial reheating surface.…

Longer Lists Yield Better Matchings
Yuri Faenza, Aapeli Vuorinen
https://arxiv.org/abs/2506.06217 https://arxiv.org/pdf/2506.06217

Longer Lists Yield Better Matchings
Many centralized mechanisms for two-sided matching markets that enjoy strong theoretical properties assume that the planner solicits full information on the preferences of each participating agent. In particular, they expect that participants compile and communicate their complete preference lists over agents from the other side of the market. However, real-world markets are often very large and agents cannot always be expected to even produce a ranking of all options on the other side. It is t…

Gruden’s feud with the NFL won’t die https://www.arkansasonline.com/news/2025/aug/17/grudens-feud-with-the-nfl-wont-die/

Characterizations of certain matroids by maximizing valuative invariants
Joseph E. Bonin
https://arxiv.org/abs/2507.14720 https://arx…

Characterizations of certain matroids by maximizing valuative invariants
Luis Ferroni and Alex Fink recently introduced a polytope of all unlabeled matroids of rank $r$ on $n$ elements, and they showed that the vertices of this polytope come from matroids that can be characterized by maximizing a sequence of valuative invariants. We prove that a number of the matroids that they conjectured to yield vertices indeed do (these include cycle matroids of complete graphs, projective geometries, and Dowling geometries), and we give additional examples (including truncation…

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
Yi Yang, Kei Ikemura, Qingwen Zhang, Xiaomeng Zhu, Ci Li, Nazre Batool, Sina Sharif Mansouri, John Folkesson
https://arxiv.org/abs/2508.13979

AutoScale: Linear Scalarization Guided by Multi-Task Optimization Metrics
Recent multi-task learning studies suggest that linear scalarization, when using well-chosen fixed task weights, can achieve comparable to or even better performance than complex multi-task optimization (MTO) methods. It remains unclear why certain weights yield optimal performance and how to determine these weights without relying on exhaustive hyperparameter search. This paper establishes a direct connection between linear scalarization and MTO methods, revealing through extensive experiments…

Spreading droplets of yield-stress fluids with and without gravity
Linnea Heitmeier, Olfa D'Angelo, Maziyar Jalaal, Thomas Voigtmann
https://arxiv.org/abs/2507.04379

Spreading droplets of yield-stress fluids with and without gravity
We investigate the effect of gravity on the spreading of droplets of yield stress fluids, by performing both microgravity experiments (in a drop tower) and experiments under terrestrial gravity. We investigate the dependence of the final droplet shape on yield stress and gravity. Droplets are deposited on a thin film of the same material, allowing to directly test scaling laws derived from the thin-film equation for viscoplastic fluids. Microgravity conditions allow to vary independently the tw…

Numerically studying Pesticide diffusion in air using Langevin formalism
Utkarsh Patel, Sabyasachi Ghosh, Prasanta Murmu
https://arxiv.org/abs/2506.18483 h…

Numerically studying Pesticide diffusion in air using Langevin formalism
The use of pesticides for enhancing crop yield and preventing infestations is a widespread agricultural practice. However, in recent years, there has been a growing shift toward traditional chemical-free organic farming. Regulatory frameworks impose specific distance requirements between organic farms and neighboring lands where chemical pesticides are used to minimize cross-contamination. In this work, we numerically analyze the spread of pesticide droplets to adjacent fields under varying wea…

Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi
Viraj Nadkarni, Pramod Viswanath
https://arxiv.org/abs/2505.22784 https://…

Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi
We present the first formal treatment of \emph{yield tokenization}, a mechanism that decomposes yield-bearing assets into principal and yield components to facilitate risk transfer and price discovery in decentralized finance (DeFi). We propose a model that characterizes yield token dynamics using stochastic differential equations. We derive a no-arbitrage pricing framework for yield tokens, enabling their use in hedging future yield volatility and managing interest rate risk in decentralized l…

High yield, low disorder Si/SiGe heterostructures for spin qubit devices manufactured in a BiCMOS pilot line
Alberto Mistroni, Marco Lisker, Yuji Yamamoto, Wei-Chen Wen, Fabian Fidorra, Henriette Tetzner, Laura K. Diebel, Lino Visser, Spandan Anupam, Vincent Mourik, Lars R. Schreiber, Hendrik Bluhm, Dominique Bougeard, Marvin H. Zoellner, Giovanni Capellini, Felix Reichmann

High yield, low disorder Si/SiGe heterostructures for spin qubit devices manufactured in a BiCMOS pilot line
The prospect of achieving fault-tolerant quantum computing with semiconductor spin qubits in Si/SiGe heterostructures relies on the integration of a large number of identical devices, a feat achievable through a scalable (Bi)CMOS manufacturing approach. To this end, both the gate stack and the Si/SiGe heterostructure must be of high quality, exhibiting uniformity across the wafer and consistent performance across multiple fabrication runs. Here, we report a comprehensive investigation of Si/SiG…

Hallucinations in medical devices
Jason Granstedt, Prabhat Kc, Rucha Deshpande, Victor Garcia, Aldo Badano
https://arxiv.org/abs/2508.14118 https://arxiv.o…

Hallucinations in medical devices
Computer methods in medical devices are frequently imperfect and are known to produce errors in clinical or diagnostic tasks. However, when deep learning and data-based approaches yield output that exhibit errors, the devices are frequently said to hallucinate. Drawing from theoretical developments and empirical studies in multiple medical device areas, we introduce a practical and universal definition that denotes hallucinations as a type of error that is plausible and can be either impactful …

A Language-Signal-Vision Multimodal Framework for Multitask Cardiac Analysis
Yuting Zhang, Tiantian Geng, Luoying Hao, Xinxing Cheng, Alexander Thorley, Xiaoxia Wang, Wenqi Lu, Sandeep S Hothi, Lei Wei, Zhaowen Qiu, Dipak Kotecha, Jinming Duan
https://arxiv.org/abs/2508.13072

A Language-Signal-Vision Multimodal Framework for Multitask Cardiac Analysis
Contemporary cardiovascular management involves complex consideration and integration of multimodal cardiac datasets, where each modality provides distinct but complementary physiological characteristics. While the effective integration of multiple modalities could yield a holistic clinical profile that accurately models the true clinical situation with respect to data modalities and their relatives weightings, current methodologies remain limited by: 1) the scarcity of patient- and time-aligne…

Urban Living III - Secrecy 🙊
都市生活 III - 秘密 🙊
📷 Nikon FE
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Microscopic Theory of Squeezed Light in Quantum Dot Systems
Sahil Patel, Sean Doan, Chen Shang, Frederic Grillot, Frank Jahnke, John Bowers, Galan Moody, Weng Chow
https://arxiv.org/abs/2508.15114

Microscopic Theory of Squeezed Light in Quantum Dot Systems
We present a cavity-QED theory for generating squeezed light from semiconductor quantum dots (QDs) integrated in microcavities. We formulate equations of motion for an inhomogeneously broadened QD ensemble that is incoherently pumped and simultaneously driven by a coherent seed field, solve for steady states, and compute the output-field quadrature variances. The analysis identifies operating conditions that yield amplitude-quadrature squeezing, with photon-number fluctuations reduced below the…

Vane rheology of a fiber-reinforced granular material
Ladislas Wierzchalek, Georges Gauthier, Baptiste Darbois-Texier
https://arxiv.org/abs/2506.11762 http…

Vane rheology of a fiber-reinforced granular material
The addition of a small quantity of flexible fibers in a granular material is an efficient technique to increase the yield stress of the material. While the influence of fiber addition on the mechanical strength of granular media has been studied, much less is known about the flow properties of grain-fiber mixtures. In this article, we explore the effect of flexible fibers on the flow behavior of grain-fiber mixtures above the yield stress. We use a vane geometry to study the rheology of a dry …

Preferred Synthesis of Armchair SnS2 Nanotubes
Abid, Luneng Zhao, Ju Huang, Yongjia Zheng, Yuta Sato, Qingyun Lin, Zhen Han, Chunxia Yang, Tianyu Wang, Bill Herve Nduwarugira, Yicheng Ma, Lingfeng Wang, Yige Zheng, Hang Wang, Salman Ullah, Afzal Khan, Qi Zhang, Wenbin Li, Junfeng Gao, Bingfeng Ju, Feng Ding, Yan Li, Kazu Suenaga, Shigeo Maruyama, Huayong Yang, Rong Xiang

Preferred Synthesis of Armchair SnS2 Nanotubes
In this work, we present the synthesis of tin disulfide (SnS2) nanotubes (NTs) with preferred chiral angle. A sacrificial template is used to create channels of boron nitride nanotubes (BNNTs) with an optimized diameter of 4-5 nm, inside of which SnS2 NTs are formed with the high yield and structural purity. Atomic resolution imaging and nano-area electron diffraction reveal that these synthesized SnS2 NTs prefer to have an armchair configuration with a probability of approximately 85%. Calcula…

Erd\H{o}s's unit distance problem and rigidity
J\'anos Pach, Orit E. Raz, J\'ozsef Solymosi
https://arxiv.org/abs/2507.15679 https://

Erdős's unit distance problem and rigidity
According to a classical result of Spencer, Szemerédi, and Trotter (1984), the maximum number of times the unit distance can occur among $n$ points in the plane is $O(n^{4/3})$. This is far from Erdős's lower bound, $n^{1+O(1/\log\log n)}$, which is conjectured to be optimal. We prove a structural result for point sets with nearly $n^{4/3}$ unit distances and use it to reduce the problem to a conjecture on rigid frameworks. This conjecture, if true, would yield the first improvement on the bo…

Sources: Intel's 18A process is facing significant yield challenges, with only ~5% of chips meeting its specifications in late 2024 and ~10% by summer 2025 (Reuters)
https://www.reuters.com/world/asia-pacific/…

Short mollifiers of the Riemann zeta-function
J. Brian Conrey, David W. Farmer, Chung-Hang Kwan, Yongxiao Lin, Caroline L. Turnage-Butterbaugh
https://arxiv.org/abs/2508.11108 h…

Short mollifiers of the Riemann zeta-function
We apply the calculus of variations to construct a new sequence of linear combinations of derivatives of the Riemann $ζ$-function adapted to Levinson's method, which yield a positive proportion of zeros of the $ζ$-function on the critical line, regardless of how short the mollifier is. Our construction extends readily to modular $L$-functions. Even with Levinson's original choice of mollifier, our method more than doubles the proportions of zeros on the critical line for modular $L$-functions…

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery
Jina Kim, Leeje Jang, Yao-Yi Chiang, Guanyu Wang, Michelle Pasco
https://arxiv.org/abs/2506.14670

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery
Traditionally, neighborhood studies have employed interviews, surveys, and manual image annotation guided by detailed protocols to identify environmental characteristics, including physical disorder, decay, street safety, and sociocultural symbols, and to examine their impact on developmental and health outcomes. While these methods yield rich insights, they are time-consuming and require intensive expert intervention. Recent technological advances, including vision-language models (VLMs), have…

Deep Spatial Neural Net Models with Functional Predictors: Application in Large-Scale Crop Yield Prediction
Yeonjoo Park, Bo Li, Yehua Li
https://arxiv.org/abs/2506.13017

Deep Spatial Neural Net Models with Functional Predictors: Application in Large-Scale Crop Yield Prediction
Accurate prediction of crop yield is critical for supporting food security, agricultural planning, and economic decision-making. However, yield forecasting remains a significant challenge due to the complex and nonlinear relationships between weather variables and crop production, as well as spatial heterogeneity across agricultural regions. We propose DSNet, a deep neural network architecture that integrates functional and scalar predictors with spatially varying coefficients and spatial rando…

Understanding the medium-like effects in the jet-like yield in pp and p-Pb collisions using event generators
Dushmanta Sahu, Antonio Ortiz, Victor Campos
https://arxiv.org/abs/2506.06587

Understanding the medium-like effects in the jet-like yield in pp and p-Pb collisions using event generators
To understand the dynamics of jet-medium interaction in small systems such as proton-proton (pp) and proton-lead (p-Pb) collisions at $\sqrt{s_{\rm NN}}$ = 5.02 TeV, particle production is studied in three distinct topological regions defined with respect to the charged particle with the highest transverse momentum in the event ($p_{\rm T}^{\rm trig}$). The jet-like yield is defined by the particle density in the toward region ($|Δφ|<π/3$) after subtracting that in the transverse r…

Reinforcement learning entangling operations on spin qubits
Mohammad Abedi, Markus Schmitt
https://arxiv.org/abs/2508.14761 https://arxiv.org/pdf/2508.1476…

Reinforcement learning entangling operations on spin qubits
High-fidelity control of one- and two-qubit gates past the error correction threshold is an essential ingredient for scalable quantum computing. We present a reinforcement learning (RL) approach to find entangling protocols for semiconductor-based singlet-triplet qubits in a double quantum dot. Despite the presence of realistically modelled experimental constraints, such as various noise contributions and finite rise-time effects, we demonstrate that an RL agent can yield performative protocols…

With my MastodonFedivers character I gathered for 30 minutes after consuming a pork pie( 15% yield in everything gathered!) I got these:
* 143 ore 5.0 - 35k
* 192 ore 4.0 - 16k
* 16 logs 4.2 - 9k
* 38 ore 4.1 - 7k
* 14 logs 4.1 - 1k
profit after selling it all:
* 68k
costs:
* 10k in repair costs(or 13k)
* 4k tp to ML
* 1 pork pie 5.3k
full T5 ore gear including Avalonian Pickaxe was used.

A comprehensive Darcy-type law for viscoplastic fluids: I. Framework
Emad Chaparian
https://arxiv.org/abs/2506.06184 https://arxiv.or…

A comprehensive Darcy-type law for viscoplastic fluids: I. Framework
A comprehensive Darcy-type law for viscoplastic fluids is proposed. Different regimes of yield-stress fluid flow in porous media can be categorised based on the Bingham number (i.e. the ratio of the yield stress to the characteristic viscous stress). In a recent study (Chaparian, J. Fluid Mech., vol. 980, A14, 2024), we addressed the yield/plastic limit (infinitely large Bingham number), namely, the onset of percolation when the applied pressure gradient is just sufficient to overcome the yield…

Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures
Xiang Xu, Xi Zhang, Andrei Ruban, Siegfried Schmauder, Blazej Grabowski
https://arxiv.org/abs/2508.15528

Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures
To gain a deeper insight into the anomalous yield behavior of Ni3Al, it is essential to obtain temperature-dependent formation Gibbs energies of the relevant planar defects. Here, the Gibbs energy of the complex stacking fault (CSF) is evaluated using a recently proposed ab initio framework [Acta Materialia, 255 (2023) 118986], accounting for all thermal contributions - including anharmonicity and paramagnetism - up to the melting point. The CSF energy shows a moderate decrease from 300K to abo…

💥 Engineers overcome radiation challenge with custom silicon chips
#electronics

Engineers overcome radiation challenge with custom silicon chips
The Large Hadron Collider (LHC) is tough on electronics. Situated inside a 17-mile-long tunnel that runs in a circle under the border between Switzerland and France, this massive scientific instrument accelerates particles close to the speed of light before smashing them together. The collisions yield tiny maelstroms of particles and energy that hint at answers to fundamental questions about the building blocks of matter.

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces
Yunhao Yang, Neel P. Bhatt, Christian Ellis, Alvaro Velasquez, Zhangyang Wang, Ufuk Topcu
https://arxiv.org/abs/2507.11352

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces
Logistics operators, from battlefield coordinators rerouting airlifts ahead of a storm to warehouse managers juggling late trucks, often face life-critical decisions that demand both domain expertise and rapid and continuous replanning. While popular methods like integer programming yield logistics plans that satisfy user-defined logical constraints, they are slow and assume an idealized mathematical model of the environment that does not account for uncertainty. On the other hand, large langua…

INTEGRAL, eROSITA and Voyager Constraints on Light Bosonic Dark Matter: ALPs, Dark Photons, Scalars, $B-L$ and $L_{i}-L_{j}$ Vectors
Thong T. Q. Nguyen, Pedro De la Torre Luque, Isabelle John, Shyam Balaji, Pierluca Carenza, Tim Linden
https://arxiv.org/abs/2507.13432

INTEGRAL, eROSITA and Voyager Constraints on Light Bosonic Dark Matter: ALPs, Dark Photons, Scalars, $B-L$ and $L_{i}-L_{j}$ Vectors
The decay of light bosonic dark matter particles can produce a bright electron/positron ($e^+e^-$) flux that can be strongly constrained by local Voyager observations of the direct $e^+e^-$ flux, as well as 511 keV Line and X-ray continuum observations of $e^+e^-$ emission. We carefully analyze the $e^+e^-$ yield and resulting cosmic-ray and X-ray spectra from theoretically well-motivated light dark matter models, including: (a) electrophilic axion-like particles, (b) dark photons, (c) scalars,…

Bell Inequality Violations Without Entanglement? It's Just Postselection
Ken Wharton, Huw Price
https://arxiv.org/abs/2508.13431 https://arxiv.org/pdf/…

Bell Inequality Violations Without Entanglement? It's Just Postselection
Recently Wang et al. have reported a violation of a Bell inequality without entanglement [arXiv:2507.07756]. We show that their result is an artifact of postselection. It is well known that postselection may yield Bell inequality violations, both in classical toy models and in real experiments with delayed-choice entanglement-swapping. Here we describe a classical analog of Wang et al.'s experiment, and show that it produces essentially the same results as their quantum version. We explain in d…

Bayesian minimisation of energy consumption in turbulent pipe flow via unsteady driving
Felix Kranz, Daniel Mor\'on, Marc Avila
https://arxiv.org/abs/2508.14593 https://

Bayesian minimisation of energy consumption in turbulent pipe flow via unsteady driving
Turbulence accounts for most of the energy losses associated with the pumping of fluids in pipes. Pulsatile drivings can reduce the drag and energy consumption required to supply a desired mass flux, when compared to steady driving. However, not all pulsation waveforms yield reductions. Here, we compute drag- and energy-optimal driving waveforms using direct numerical simulations and a gradient-free black-box optimisation framework. Specifically, we show that Bayesian optimisation is vastly sup…

Modeling of silver transport in cubic SiC: Integrating molecular dynamics, bounds averaging, and uncertainty quantification
Mohamed AbdulHameed, Khadija Mahbuba, Mahmoud Yaseen, Amr Ibrahim, Daniel Moneghan, Benjamin Beeler
https://arxiv.org/abs/2508.14325

Modeling of silver transport in cubic SiC: Integrating molecular dynamics, bounds averaging, and uncertainty quantification
Silver released from TRISO fuel particles can migrate through the SiC layer and deposit on reactor components, posing radiation hazards and operational challenges. Despite numerous proposed mechanisms, the precise pathway of silver transport through intact 3C-SiC remains unresolved. We present a physics-informed model for estimating the effective diffusivity of silver in polycrystalline 3C-SiC. Molecular dynamics (MD) simulations yield diffusivities for {Σ3} and {Σ9} grain boundaries (GBs), w…

Resources for bosonic metrology: quantum-enhanced precision from a superselection rule perspective
Astghik Saharyan, Eloi Descamps, Arne Keller, P\'erola Milman
https://arxiv.org/abs/2507.13245

Resources for bosonic metrology: quantum-enhanced precision from a superselection rule perspective
Quantum optics and atomic systems are prominent platforms for exploiting quantum-enhanced precision in parameter estimation. However, not only are quantum optical and atomic systems often treated separately, but even within quantum optics, identifying optimal probes (quantum states) and evolutions (parameter-dependent dynamics) typically relies on case-by-case analyses. Mode, and sometimes only particle entanglement, can yield quantum enhancement of precision in continuous- and discrete-variabl…

Blocklet concatenation: Low-overhead fault-tolerant protocols for fusion-based quantum computation
Daniel Litinski
https://arxiv.org/abs/2506.13619 https:/…

Blocklet concatenation: Low-overhead fault-tolerant protocols for fusion-based quantum computation
We introduce a construction for protocols for fault-tolerant quantum computing based on code concatenation and transversal gates. These protocols can be interpreted as families of quantum circuits of low-weight stabilizer measurements without strict locality constraints, effectively implementing concatenated codes. However, we primarily study these protocols in the context of photonic fusion-based quantum computing (FBQC), where they yield families of fusion networks with constant-sized resourc…