Tootfinder

Cowboys' polarizing receiver named 'X factor,' could sway 2025 season https://www.si.com/nfl/cowboys/news/dallas-cowboys-polarizing-receiver-x-factor-could-sway-2025-nfl-season

How popular media gets love wrong
Now a bit of background about why I have this "engineered" model of love:
First, I'm a white straight cis man. I've got a few traits that might work against my relationship chances (e.g., neurodivergence; I generally fit pretty well into the "weird geek" stereotype), but as I was recently reminded, it's possible my experience derives more from luck than other factors, and since things are tilted more in my favor than most people on the planet, my advice could be worse than useless if it leads people towards strategies that would only have worked for someone like me. I don't *think* that's the case, but it's worth mentioning explicitly.
When I first started dating my now-wife, we were both in graduate school. I was 26, and had exactly zero dating/romantic experience though that point in my life. In other words, a pretty stereotypical "incel" although I definitely didn't subscribe to incel ideology at all. I felt lonely, and vaguely wanted a romantic relationship (I'm neither aromantic nor asexual), but had never felt socially comfortable enough to pursue one before. I don't drink and dislike most social gatherings like parties or bars; I mostly hung around the fringes of the few college parties I attended, and although I had a reasonable college social life in terms of friends, I didn't really do anything to pursue romance, feeling too awkward to know where to start. I had the beginnings of crushes in both high school and college, but never developed a really strong crush, probably correlated with not putting myself in many social situations outside of close all-male friend gatherings. I never felt remotely comfortable enough to act on any of the proto-crushes I did have. I did watch porn and masturbate, so one motivation for pursuing a relationship was physical intimacy, but loneliness was as much of a motivating factor, and of course the social pressure to date was a factor too, even though I'm quite contrarian.
When I first started dating my now-wife, we were both in graduate school. I was 26, and had exactly zero dating/romantic experience though that point in my life. In other words, a pretty stereotypical "incel" although I definitely didn't subscribe to incel ideology at all. I felt lonely, and vaguely wanted a romantic relationship (I'm neither aromantic nor asexual), but had never felt socially comfortable enough to pursue one before. I don't drink and dislike most social gatherings like parties or bars; I mostly hung around the fringes of the few college parties I attended, and although I had a reasonable college social life in terms of friends, I didn't really do anything to pursue romance, feeling too awkward to know where to start. I had the beginnings of crushes in both high school and college, but never developed a really strong crush, probably correlated with not putting myself in many social situations outside of close all-male friend gatherings. I never felt remotely comfortable enough to act on any of the proto-crushes I did have. I did watch porn and masturbate, so one motivation for pursuing a relationship was physical intimacy, but loneliness was as much of a motivating factor, and of course the social pressure to date was a factor too, even though I'm quite contrarian.
I'm lucky in that I had some mixed-gender social circles already like intramural soccer and a graduate-student housing potluck. Graduate school makes a *lot* more of these social spaces accessible, so I recognize that those not in school of some sort have a harder time of things, especially if like me they don't feel like they fit in in typical adult social spaces like bars.
However, at one point I just decided that my desire for a relationship would need action on my part and so I'd try to build a relationship and see what happened. I worked up my courage and asked one of the people in my potluck if she'd like to go for a hike (pretty much clearly a date but not explicitly one; in retrospect not the best first-date modality in a lot of ways, but it made a little more sense in our setting where we could go for a hike from our front door). To emphasize this point: I was not in love with (or even infatuated with) my now-wife at that point. I made a decision to be open to building a relationship, but didn't follow the typical romance story formula beyond that. Now of course, in real life as opposed to popular media, this isn't anything special. People ask each other out all the time just because they're lonely, and some of those relationships turn out fine (although many do not).
I was lucky in that some aspects of who I am and what I do happened to be naturally comforting to my wife (natural advantage in the "appeal" model of love) but of course there are some aspects of me that annoy my wife, and we negotiate that. In the other direction, there's some things I instantly liked about my wife, and other things that still annoy me. We've figured out how to accept a little, change a little, and overall be happy with each other (though we do still have arguments; it's not like the operation/construction/maintenance of the "love mechanism" is always perfectly smooth). In particular though, I approached the relationship with the attitude of "I want to try to build a relationship with this person," at first just because of my own desires for *any* relationship, and then gradually more and more through my desire to build *this specific* relationship as I enjoyed the rewards of companionship.
So for example, while I think my wife is objectively beautiful, she's also *subjectively* very beautiful *to me* because having decided to build a relationship with her, I actively tried to see her as beautiful, rather than trying to judge whether I wanted a relationship with her based on her beauty. In other words, our relationship is more causative of her beauty-to-me than her beauty-to-me is causative of our relationship. This is the biggest way I think the "engineered" model of love differs from the "fire" and "appeal" models: you can just decide to build love independent of factors we typically think of as engendering love (NOT independent of your partner's willingness to participate, of course), and then all of those things like "thinking your partner is beautiful" can be a result of the relationship you're building. For sure those factors might affect who is willing to try building a relationship with you in the first place, but if more people were willing to jump into relationship building (not necessarily with full commitment from the start) without worrying about those other factors, they might find that those factors can come out of the relationship instead of being prerequisites for it. I think this is the biggest failure of the "appeal" model in particular: yes you *do* need to do things that appeal to your partner, but it's not just "make myself lovable" it's also: is your partner putting in the effort to see the ways that you are beautiful/lovable/etc., or are they just expecting you to become exactly some perfect person they've imagined (and/or been told to desire by society)? The former is perfectly possible, and no less satisfying than the latter.
To cut off my rambling a bit here, I'll just add that in our progress from dating through marriage through staying-married, my wife and I have both talked at times explicitly about commitment, and especially when deciding to get married, I told her that I knew I couldn't live up to the perfect model of a husband that I'd want to be, but that if she wanted to deepen our commitment, I was happy to do that, and so we did. I also rearranged my priorities at that point, deciding that I knew I wanted to prioritize this relationship above things like my career or my research interests, and while I've not always been perfect at that in my little decisions, I've been good at holding to that in my big decisions at least. In the end, *once we had built a somewhat-committed relationship*, we had something that we both recognized was worth more than most other things in life, and that let us commit even more, thus getting even more out of it in the long term. Obviously you can't start the first date with an expectation of life-long commitment, and you need to synchronize your increasing commitment to a relationship so that it doesn't become lopsided, which is hard. But if you take the commitment as an active decision and as the *precursor* to things like infatuation, attraction, etc., you can build up to something that's incredibly strong and rewarding.
I'll follow this up with one more post trying to distill some advice from my ramblings.
#relationships #love

This https://arxiv.org/abs/2502.05210 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Regression and Forecasting of U.S. Stock Returns Based on LSTM
This paper analyses the investment returns of three stock sectors, Manuf, Hitec, and Other, in the U.S. stock market, based on the Fama-French three-factor model, the Carhart four-factor model, and the Fama-French five-factor model, in order to test the validity of the Fama-French three-factor model, the Carhart four-factor model, and the Fama-French five-factor model for the three sectors of the market. French five-factor model for the three sectors of the market. Also, the LSTM model is used …

Analysis of the Pion Electromagnetic Form Factor with Next-to-Next-to-Leading Order QCD Corrections
Sheng-Quan Wang, Zuo-Fen Liao, Jian-Ming Shen, Hua Zhou, Jia-Wei Zhang, Jiang Yan, Xing-Gang Wu, Leonardo Di Giustino
https://arxiv.org/abs/2507.20479

Analysis of the Pion Electromagnetic Form Factor with Next-to-Next-to-Leading Order QCD Corrections
NNLO QCD corrections for the pion electromagnetic form factor at large momentum transfer have been recently performed in [Phys. Rev. Lett. 132, 201901 (2024); Phys. Rev. Lett. 134, 221901 (2025)], revealing that the NLO and NNLO contributions are positive and sizeable. Unfortunately, these predictions have been obtained using the conventional scale-setting method and thus they are plagued by large renormalization scale ambiguities. In this paper, we analyze the pion electromagnetic form factor …

Hamilton cycles in regular graphs perturbed by a random 2-factor
Cicely Henderson, Sean Longbrake, Dingjia Mao, Patryk Morawski
https://arxiv.org/abs/2506.21756

Hamilton cycles in regular graphs perturbed by a random 2-factor
In this paper, we prove that for each $d \ge 3$, the union of a $d$-regular graph with a uniformly random $2$-factor on the same vertex set is Hamiltonian with high probability. This resolves a conjecture by Draganić and Keevash for all values of $d$ but $d=2$.

Semiparametric Identification of the Discount Factor and Payoff Function in Dynamic Discrete Choice Models
Yu Hao, Hiroyuki Kasahara, Katsumi Shimotsu
https://arxiv.org/abs/2507.19814

Semiparametric Identification of the Discount Factor and Payoff Function in Dynamic Discrete Choice Models
This paper investigates how the discount factor and payoff functions can be identified in stationary infinite-horizon dynamic discrete choice models. In single-agent models, we show that common nonparametric assumptions on per-period payoffs -- such as homogeneity of degree one, monotonicity, concavity, zero cross-differences, and complementarity -- provide identifying restrictions on the discount factor. These restrictions take the form of polynomial equalities and inequalities with degrees bo…

Latent Factor Point Processes for Patient Representation in Electronic Health Records
Parker Knight, Doudou Zhou, Zongqi Xia, Tianxi Cai, Junwei Lu
https://arxiv.org/abs/2508.20327

Latent Factor Point Processes for Patient Representation in Electronic Health Records
Electronic health records (EHR) contain valuable longitudinal patient-level information, yet most statistical methods reduce the irregular timing of EHR codes into simple counts, thereby discarding rich temporal structure. Existing temporal models often impose restrictive parametric assumptions or are tailored to code level rather than patient-level tasks. We propose the latent factor point process model, which represents code occurrences as a high-dimensional point process whose conditional in…

ecoli_transcription: E. coli transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the bacteria Escherichia coli.
This network has 424 nodes and 577 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.s…

Really grateful for two factor authentication via email. Nothing better than being unable to sign in to your account because your mail provider is having downtime.

Seahawks fear torn ACL for reserve RB that could factor into their depth at position, per report

https://www.cbssports.com/nfl/news/seahawk

Optimizing Spreading Factor Selection for Mobile LoRa Gateways Using Single-Channel Hardware
W. A. Sasindu Wijesuriya
https://arxiv.org/abs/2507.19938 https://

Optimizing Spreading Factor Selection for Mobile LoRa Gateways Using Single-Channel Hardware
The deployment of mobile LoRa gateways using low-cost single-channel hardware presents a significant challenge in maintaining reliable communication due to the lack of dynamic configuration support. In traditional LoRaWAN networks, Adaptive Data Rate (ADR) mechanisms optimize communication parameters in real time. However, such features are typically supported only by expensive multi-channel gateways. This study proposes a cost-effective and energy-efficient solution by statically selecting the…

TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning
Simin Ma, Shujian Liu, Jun Tan, Yebowen Hu, Song Wang, Sathish Reddy Indurthi, Sanqiang Zhao, Liwei Wu, Jianbing Han, Kaiqiang Song
https://arxiv.org/abs/2508.20374

TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning
Diverse instruction data is vital for effective instruction tuning of large language models, as it enables the model to generalize across different types of inputs . Building such diversified instruction dataset is an essential step in this process. Existing approaches often leverage large language models to automatically explore and generate diverse instructions, ensuring both data diversity and quality. However, they tend to overlook an important factor in real-world applications: on-task rel…

ecoli_transcription: E. coli transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the bacteria Escherichia coli.
This network has 424 nodes and 577 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.s…

Optimal Motion Scaling for Delayed Telesurgery
Jason Lim, Florian Richter, Zih-Yun Chiu, Jaeyon Lee, Ethan Quist, Nathan Fisher, Jonathan Chambers, Steven Hong, Michael C. Yip
https://arxiv.org/abs/2506.21689

Optimal Motion Scaling for Delayed Telesurgery
Robotic teleoperation over long communication distances poses challenges due to delays in commands and feedback from network latency. One simple yet effective strategy to reduce errors and increase performance under delay is to downscale the relative motion between the operating surgeon and the robot. The question remains as to what is the optimal scaling factor, and how this value changes depending on the level of latency as well as operator tendencies. We present user studies investigating th…

Starting to look at how feasible parameterizing my curve25519 multiplier to use less DSPs at the expense of run time and maybe a few more luts is.
Ultimate goal is a factor of 3 (or more) reduction in multiplier usage allowing it to fit in a Trion T20.

A large hole in pseudo-random graphs
Sahar Diskin, Michael Krivelevich, Itay Markbreit, Maksim Zhukovskii
https://arxiv.org/abs/2505.23384 https://

A large hole in pseudo-random graphs
We show that there exist constants $δ_1,δ_2>0$ such that if $G$ is an $(n,d,λ)$-graph with $λ/d\leδ_1$, then $G$ contains an induced cycle of length at least $δ_2n/d$. We further demonstrate that, up to a constant factor, this is best possible. Utilising our techniques, we derive that the number of non-isomorphic induced subgraphs of such $G$ is at least exponential in $n\log d/d$, and further demonstrate that this is tight up to a constant factor in the exponent.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase?
Samuel Talkington, Daniel K. Molzahn
https://arxiv.org/abs/2507.20995 https://…

VArsity: Can Large Language Models Keep Power Engineering Students in Phase?
This paper provides an educational case study regarding our experience in deploying ChatGPT Large Language Models (LLMs) in the Spring 2025 and Fall 2023 offerings of ECE 4320: Power System Analysis and Control at Georgia Tech. As part of course assessments, students were tasked with identifying, explaining, and correcting errors in the ChatGPT outputs corresponding to power factor correction problems. While most students successfully identified the errors in the outputs from the GPT-4 version …

Data-Driven Dynamic Factor Modeling via Manifold Learning
Graeme Baker, Agostino Capponi, J. Antonio Sidaoui
https://arxiv.org/abs/2506.19945 https://

Data-Driven Dynamic Factor Modeling via Manifold Learning
We propose a data-driven dynamic factor framework where a response variable depends on a high-dimensional set of covariates, without imposing any parametric model on the joint dynamics. Leveraging Anisotropic Diffusion Maps, a nonlinear manifold learning technique introduced by Singer and Coifman, our framework uncovers the joint dynamics of the covariates and responses in a purely data-driven way. We approximate the embedding dynamics using linear diffusions, and exploit Kalman filtering to pr…

Microsoft now has invented the 10 Factor authentication before you get to a teams. Next: You need to photograph your underwear and send it to them.

Tidal heating in detached double white dwarf binaries
Lucy O. McNeill, Ryosuke Hirai
https://arxiv.org/abs/2507.21821 https://arxiv.org/pdf/2507.21821

Tidal heating in detached double white dwarf binaries
Short--period ($P<$1 hr orbits) detached double white dwarf binary (DWDB) components identified with transient surveys (e.g. SDSS, ZTF) have hot surface temperatures ($>$10,000 K) and observed radii a factor two larger than completely degenerate white dwarfs. We formulate tidal heating in helium composition extremely low mass white dwarf (ELM WD) components of detached DWDBs which reach mass transfer within a Hubble time. We combine a mass radius relation which varies with surface temperature a…

This https://arxiv.org/abs/2505.22562 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Equidistant Hypersurfaces Of The Complex Bidisk $\mathbb{H}^2_{\mathbb{C}}\times \mathbb{H}^2_{\mathbb{C}}$
We consider the isometries of the complex hyperbolic bidisk, that is, the product space $\mathbb{H}^2_{\mathbb{C}} \times \mathbb{H}^2_{\mathbb{C}} $, where each factor $ \mathbb{H}^2_{\mathbb{C}} $ denotes the complex hyperbolic plane. We investigate the Dirichlet domain formed by the action of a cyclic subgroup $(g_1, g_2)$, where each $g_i$ is loxodromic. We prove that such a Dirichlet domain has two sides.

Sharp Online Hardness for Large Balanced Independent Sets
Abhishek Dhawan, Eren C. K{\i}z{\i}lda\u{g}, Neeladri Maitra
https://arxiv.org/abs/2508.20785 https://

Sharp Online Hardness for Large Balanced Independent Sets
We study the algorithmic problem of finding large $γ$-balanced independent sets in dense random bipartite graphs; an independent set is $γ$-balanced if a $γ$ proportion of its vertices lie on one side of the bipartition. In the sparse regime, Perkins and Wang established tight bounds within the low-degree polynomial (LDP) framework, showing a factor-$1/(1-γ)$ statistical-computational gap via the Overlap Gap Property (OGP) framework tailored for stable algorithms. However, these techniques …

Optimization on the Extended Tensor-Train Manifold with Shared Factors
Alexander Molozhavenko, Maxim Rakhuba
https://arxiv.org/abs/2508.20928 https://arxiv…

Optimization on the Extended Tensor-Train Manifold with Shared Factors
This paper studies tensors that admit decomposition in the Extended Tensor Train (ETT) format, with a key focus on the case where some decomposition factors are constrained to be equal. This factor sharing introduces additional challenges, as it breaks the multilinear structure of the decomposition. Nevertheless, we show that Riemannian optimization methods can naturally handle such constraints and prove that the underlying manifold is indeed smooth. We develop efficient algorithms for key Riem…

Magnetic flux transport via reconnection diffusion in different sonic regimes of interstellar MHD turbulence
C. N. Koshikumo, R. Santos-Lima, M. V. del Valle, E. M. de Gouveia Dal Pino, G. Guerrero, A. Lazarian
https://arxiv.org/abs/2507.21832

Magnetic flux transport via reconnection diffusion in different sonic regimes of interstellar MHD turbulence
Turbulence and magnetic fields are components of the interstellar medium and are interconnected through plasma processes. In particular, the magnetic flux transport in the presence of magneto-hydrodynamic (MHD) turbulence is an essential factor for understanding star formation. The theory of Reconnection Diffusion (RD), based on statistics of Alfvénic turbulence, predicts a dependence of the diffusion coefficient of the magnetic field on the Alfvénic Mach number $M_A$. However, this theory do…

Street network sub-patterns and travel mode
Juan Fernando Riascos Goyes, Michael Lowry, Nicol\'as Guar\'in Zapata, Juan Pablo Ospina
https://arxiv.org/abs/2507.19648 htt…

Street network sub-patterns and travel mode
Urban morphology has long been recognized as a factor shaping human mobility, yet comparative and formal classifications of urban form across metropolitan areas remain limited. Building on theoretical principles of urban structure and advances in unsupervised learning, we systematically classified the built environment of nine U.S. metropolitan areas using structural indicators such as density, connectivity, and spatial configuration. The resulting morphological types were linked to mobility pa…

Particle swarm optimization for online sparse streaming feature selection under uncertainty
Ruiyang Xu
https://arxiv.org/abs/2508.20123 https://arxiv.org/p…

Particle swarm optimization for online sparse streaming feature selection under uncertainty
In real-world applications involving high-dimensional streaming data, online streaming feature selection (OSFS) is widely adopted. Yet, practical deployments frequently face data incompleteness due to sensor failures or technical constraints. While online sparse streaming feature selection (OS2FS) mitigates this issue via latent factor analysis-based imputation, existing methods struggle with uncertain feature-label correlations, leading to inflexible models and degraded performance. To address…

Neural network enabled wide field-of-view imaging with hyperbolic metalenses
Joel Yeo, Deepak K. Sharma, Saurabh Srivastava, Aihong Huang, Emmanuel Lassalle, Egor Khaidarov, Keng Heng Lai, Yuan Hsing Fu, N. Duane Loh, Ramon Paniagua-Dominguez, Arseniy I. Kuznetsov
https://arxiv.org/abs/2507.21562

Neural network enabled wide field-of-view imaging with hyperbolic metalenses
The ultrathin form factor of metalenses makes them highly appealing for novel sensing and imaging applications. Amongst the various phase profiles, the hyperbolic metalens stands out for being free from spherical aberrations and having one of the highest focusing efficiencies to date. For imaging, however, hyperbolic metalenses present significant off-axis aberrations, severely restricting the achievable field-of-view (FOV). Extending the FOV of hyperbolic metalenses is thus feasible only if th…

🇺🇦 Auf radioeins läuft...
Lauryn Hill:
🎵 Ex-Factor
#NowPlaying #LaurynHill
https://darnelholloway.bandcamp.com/track/lauryn-hill-ex-factor-remix
https://open.spotify.com/track/0C8jTfHmz4CL8Wo1DSFGZI

This https://arxiv.org/abs/2501.00417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

PureRank: A Parameter-Free Recursive Importance Measure for Network Nodes
Classical parameter-free centrality measures based on the recursive definition of importance (RDI), such as eigenvector centrality and Seeley centrality, are limited to strongly connected networks, while widely used methods like Katz centrality and PageRank rely on free parameters, such as the damping factor, to handle general networks. This motivates our central question: can an RDI-based importance (centrality) measure be defined for arbitrary networks without any tunable parameters? We answe…

Ranking the Raiders' Biggest X-Factor of 2025 https://www.si.com/nfl/raiders/las-vegas-ucla-bruins-chip-kelly-geno-smith-pete-carroll

A Multi-Species Enskog-Vlasov Solver to Determine Evaporation Coefficients of Fluids in High Pressure Environments
Raphael Tietz, Rolf Stierle, Kim Sophie Ellenberger, Stefanos Fasoulas, Marcel Pfeiffer
https://arxiv.org/abs/2506.22162

A Multi-Species Enskog-Vlasov Solver to Determine Evaporation Coefficients of Fluids in High Pressure Environments
This paper introduces a novel multi-species Enskog-Vlasov solver. It is used to determine evaporation coefficients of fluids under high-pressure conditions, a critical factor for efficient fuel mixing in internal combustion engines. The solver handles collisions for different fluid species separately, thereby accurately capturing species-specific interactions essential for realistic evaporation modeling. A new pair correlation function based on the BMCSL equation of state is employed to enhance…

Probing the spectral width of the 12.4-keV solid-state $^{45}$Sc isomeric resonance
Peifan Liu, Miriam Gerharz, Berit Marx-Glowna, Willi Hippler, Jan-Etienne Pudell, Alexey Zozulya, Brandon Stone, Deming Shu, Robert Loetzsch, Sakshath Sadashivaiah, Lars Bocklage, Christina Boemer, Shan Liu, Vitaly Kocharyan, Dietrich Krebs, Tianyun Long, Weilun Qin, Matthias Scholz, Kai Schlage, Ilya Sergeev, Hans-Christian Wille, Ulrike Boesenberg, Gianluca Aldo Geloni, J\"org Hallmann, Wonhyuk J…

Probing the spectral width of the 12.4-keV solid-state $^{45}$Sc isomeric resonance
The $^{45}$Sc nuclear transition from the ground to the isomeric state at 12.389~keV, with a lifetime of 0.46~s, exhibits an extraordinarily narrow natural width of 1.4~feV and a quality factor $\simeq 10^{19}$ -- surpassing those of the most precise atomic clocks -- making $^{45}$Sc a compelling platform for advanced metrology and nuclear clocks. Here we investigate how closely the spectral width and quality factor of the solid-state $^{45}$Sc resonance can approach these natural limits. Using…

2025 fantasy football: IDP draft strategy, Travis Hunter factor

Search for the decay $B^0 \rightarrow \phi \phi$
LHCb collaboration, et al.
https://arxiv.org/abs/2507.20945 https://arxiv.org/pdf/2507.20945

Search for the decay $B^0 \rightarrow ϕϕ$
A search for the decay $B^0 \rightarrow ϕϕ$ is made using $pp$ collision data collected with the LHCb detector at centre-of-mass energies of 7, 8 and 13 TeV, corresponding to an integrated luminosity of $9$ fb$^{-1}$. No significant signal is observed, and an upper limit on the branching fraction of $1.3~(1.4)\times 10^{-8}$ at $90 ~(95) \%$ confidence level is set. This result supersedes the previous LHCb study and improves the upper limit by a factor of two.

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- An extended latent factor framework for ill-posed linear regression
Gianluca Finocchio, Tatyana Krivobokova

Conditions for thermoelectric power factor improvements upon band alignment in complex bandstructure materials
Saff E Awal Akhtar, Neophytos Neophytou
https://arxiv.org/abs/2506.20461

Conditions for thermoelectric power factor improvements upon band alignment in complex bandstructure materials
Band alignment (or band convergence) is a strategy suggested to provide improvements in the thermoelectric power factor (PF) of materials with complex bandstructures. The addition of more bands at the energy region that contributes to transport, can provide more conducting paths and could improve the electrical conductivity and PF of a material. However, this can lead to increased inter-valley scattering, which will tend to degrade the conductivity. Using the Boltzmann Transport Equation (BTE) …

Cubes-difference factor absorbing ideals of a commutative ring
Faranak Farshadifar
https://arxiv.org/abs/2506.19876 https://arxiv.org…

Cubes-difference factor absorbing ideals of a commutative ring
Let $R$ be a commutative ring with. The purpose of this paper is to introduce and investigate cubes-difference factor absorbing ideals of R as a generalization of prime ideals.

Innovative DC-coupled Resistive Silicon Detector for 4D tracking
R. Arcidiacono, G. Bardelli, M. Bartolini, M. Boscardin, N. Cartiglia, A. Cassese, M. Centis Vignali, T. Croci, M. Ferrero, A. Fondacci, O. Hammad Ali, M. Lizzo, L. Menzio, A. Morozzi, F. Moscatelli, D. Passeri, G. Paternoster, G. Sguazzoni, F. Siviero, V. Sola, L. Viliani
https://

Innovative DC-coupled Resistive Silicon Detector for 4D tracking
In the past 10 years, two design innovations, the introduction of low internal gain (LGAD) and of resistive read-out (RSD), have radically changed the performance of silicon detectors. The LGAD mechanism, increasing the signal-to-noise ratio by about a factor of 20, leads to improved time resolution (typically 30 ps for a 50-$μ$m thick sensor), while resistive read-out, sharing the collected charge among read-out electrodes, leads to excellent spatial resolution even using large pixels (about …

A Generic Platform for Designing Fractional Chern Insulators: Electrostatically Engineered Rashba Materials
Bokai Liang, Wei Qin, Zhenyu Zhang
https://arxiv.org/abs/2506.22173

A Generic Platform for Designing Fractional Chern Insulators: Electrostatically Engineered Rashba Materials
We present a generic platform for designing topological flat bands through applying an artificially designed electrostatic superlattice potential to a thin film with Rashba spin-orbit coupling. Utilizing many-body exact diagonalization, we show that the lowest flat band can host fractional Chern insulator states at filling factor $n = 1/3$ and $2/3$. Notably, these fractional charge states present robustly in a broad regime of the parameter space. We further discuss the potential realistic mate…

Weak decaying collective-excitation approximation for Yukawa one-component plasmas
Ilnaz I. Fairushin, Anatolii V. Mokshin
https://arxiv.org/abs/2507.21525 https://

Weak decaying collective-excitation approximation for Yukawa one-component plasmas
In this paper, the theoretical model of weak decaying collective excitations characteristic of many-particle systems with long-range interaction potentials is developed using the example of one-component strongly coupled Yukawa plasmas. The proposed model is based on the self-consistent relaxation theory of collective dynamics and covers spatial scales from extended hydrodynamics to scales related to the mean interparticle distance. The theoretical model reproduces the dynamic structure factor …

I can haz #Gokrazy fbstatus on tiny scween? 🥺
@… I may file some PR again to factor out constants for the layout calculation. :D

Two-gap superconductor ZrB12 with dynamic stripes and charge density waves: Crystal structure, physical properties and pairing mechanism
A. N. Azarevicha, N. B. Bolotinab, O. N. Khrykinab, A. V. Bogacha, K. M. Krasikova, A. Yu. Tsvetkovc, S. Yu. Gavrilkinc, V. V. Voronova, S. Gabanid, K. Flachbartd, A. N. Azarevich, N. B. Bolotina, O. N. Khrykina, A. V. Bogach, K. M. Krasikov, A. Yu. Tsvetkov, S. Yu. Gavrilkin, V. V. Voronov, S. Gabani, K. Flachbart, A. V. Kuznetsov, N. E. Sluchanko

Two-gap superconductor ZrB12 with dynamic stripes and charge density waves: Crystal structure, physical properties and pairing mechanism
A review of long-term studies of ZrB12 and LuB12 superconductors with very similar conduction bands and phonon spectra, but with radically different (by a factor of 15-20) critical temperatures and magnetic fields is presented. A detailed analysis of well-known studies in combination with new results of structural, thermodynamic and charge transport measurements obtained here for these metallic dodecaborides with Jahn-Teller instability of the rigid boron network and with dynamic charge stripes…

Melting of North-American and European glaciers doubled again in recent years compared to the record rate of the past decade.
One factor is the darkening of the ice by more Sahara dust (Europe) and soot from increasing forest fires (Canada, US).
https://www.nr…

Het smelten van de gletsjers gaat nu nóg sneller
Klimaatwetenschap: Het smelten van gletsjers op het noordelijk halfrond is in een nog grotere stroomversnelling terechtgekomen.

Meanwhile in Alaska...
Too much moose meat was factor in plane crash that killed Alaska lawmaker’s husband | Alaska | The Guardian
https://www.theguardian.com/us-news/2025/jul/25/2023-plane-crash-killed-alaska-congresswomans-husband…

"The Seven Capital Sins of Open Science"
1. Worshiping the 'age factor'
2. Ignoring the value of data reuse and complexity
3. Disrespecting other disciplines
4. Publishing data without a supplementary paper
5. Creating and maintaining a nightmare for machines
6. Refusing to support investment in general infrastructure
7. Creating data without a FAIR and explicit data stewardship plan.

The Seven Capital Sins of Open Science
Years ago I made a set of cartoons depicting what I consider the seven major roadblocks to effectively realise an Open Science (rather FAIR science actually). These were distilled from my intensive work on the European Open Science Cloud, GO FAIR and also my presidency of CODATA.

The Barrow entropies in the thermodynamics of high-dimensional Gauss-Bonnet black holes
Yuxuan Shi, Hongbo Cheng
https://arxiv.org/abs/2508.18926 https://a…

The Barrow entropies in the thermodynamics of high-dimensional Gauss-Bonnet black holes
We study the thermodynamics of $D$-dimensional Gauss-Bonnet black holes with Barrow entropy. It is found that the Gauss-Bonnet coupling and the Barrow factor revise the thermodynamic variables such as event horizon, Hawking temperature, entropy and heat capacity. It is interesting that the larger five-dimensional black holes exist stably and the smaller ones evaporate to disappear owing to the nature of heat capacities amended by the coupling and factor. The discussions exhibit that the $D$-dim…

Fast Derivative Valuation from Volatility Surfaces using Machine Learning
Lijie Ding, Egang Lu, Kin Cheung
https://arxiv.org/abs/2505.22957 https://…

Fast Derivative Valuation from Volatility Surfaces using Machine Learning
We introduce a fast and flexible Machine Learning (ML) framework for pricing derivative products whose valuation depends on volatility surfaces. By parameterizing volatility surfaces with the 5-parameter stochastic volatility inspired (SVI) model augmented by a one-factor term structure adjustment, we first generate numerous volatility surfaces over realistic ranges for these parameters. From these synthetic market scenarios, we then compute high-accuracy valuations using conventional methodolo…

Non-commutative Intermediate Factor theorem associated with $W^*$-dynamics of product groups
Tattwamasi Amrutam, Yongle Jiang, Shuoxing Zhou
https://arxiv.org/abs/2508.18978 htt…

Non-commutative Intermediate Factor theorem associated with $W^*$-dynamics of product groups
Let $G = G_{1} \times G_{2}$ be a product of two locally compact, second countable groups and $μ\in \mathrm{Prob}(G)$ be of the form $μ= μ_{1} \times μ_{2}$, where $μ_{i} \in \mathrm{Prob}(G_{i})$. Let $(B,ν_B)$ be the associated Poisson boundary. We show that every intermediate $G$-von Neumann algebra $\mathcal{M}$ with \[ \mathcal{N} \subseteq \mathcal{M} \subseteq \mathcal{N} \,\bar{\otimes}\, L^{\infty}(B,ν) \] splits as a tensor product of the form $\mathcal{N}\bar{\otimes}L^{\infty…

Values at non-positive integers of partially twisted multiple zeta-functions II
Driss Essouabri, Kohji Matsumoto, Simon Rutard
https://arxiv.org/abs/2506.20150

Values at non-positive integers of partially twisted multiple zeta-functions II
We study the values at non-positive integer points of multi-variable twisted multiple zeta-functions, whose each factor of the denominator is given by polynomials. The fully twisted case was already answered by de Crisenoy. On the partially twisted case, in one of our former article we studied the case when each factor of the denominator is given by linear forms or power-sum forms. In the present paper we treat the case of general polynomial denominators, and obtain explicit forms of the values…

Device-scale modeling of valley photovoltaics
Daixi Xia, Hassan Allami, Jacob J. Krich
https://arxiv.org/abs/2507.20054 https://arxiv.org/pdf/2507.20054

Device-scale modeling of valley photovoltaics
We present a Poisson/drift-diffusion model that includes valley scattering effects for simulating valley photovoltaic devices. The valley photovoltaic concept is a novel implementation of a hot-carrier solar cell and leverages the valley scattering effect under large electric field to potentially achieve high voltage and high efficiency. Fabricated devices have shown S-shaped current-voltage curves, low fill factor, and thus low efficiency. We hence develop the first device model for valley pho…

Kinetic contribution to the arbitrary order odd frequency moments of the dynamic structure factor
Panagiotis Tolias, Tobias Dornheim, Jan Vorberger
https://arxiv.org/abs/2508.17810

Kinetic contribution to the arbitrary order odd frequency moments of the dynamic structure factor
An exact expression is derived for the kinetic contribution to the odd (arbitrary order) frequency moments of the dynamic structure factor via a finite summation that features averages of even (all lower orders) powers of the momentum over the exact momentum distribution. The derivation is carried out for the non-interacting Fermi gas and generalized to the interacting case based on the conjecture that averages over the Fermi distribution can be substituted with averages over the exact distribu…

Precision Measurements of the Neutron Magnetic Form Factor to High Momentum Transfer using Durand's Method
Provakar Datta
https://arxiv.org/abs/2508.18158 https://

Precision Measurements of the Neutron Magnetic Form Factor to High Momentum Transfer using Durand's Method
Elastic electron-nucleon scattering provides insights into the spatial distributions of charge and current within nucleons through their electromagnetic form factors. Accurate knowledge of these form factors over a broad range of $Q^2$, the squared four-momentum transfer in the scattering process, reveals details about the nucleon's internal structure. However, high-$Q^2$ data of the nucleon electromagnetic form factor is scarce due to the challenges associated with such measurements. This thes…

Microscopic and collective signatures of feature learning in neural networks
Andrea Corti, Rosalba Pacelli, Pietro Rotondo, Marco Gherardi
https://arxiv.org/abs/2508.20989 https…

Microscopic and collective signatures of feature learning in neural networks
Feature extraction - the ability to identify relevant properties of data - is a key factor underlying the success of deep learning. Yet, it has proved difficult to elucidate its nature within existing predictive theories, to the extent that there is no consensus on the very definition of feature learning. A promising hint in this direction comes from previous phenomenological observations of quasi-universal aspects in the training dynamics of neural networks, displayed by simple properties of f…

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…

Chaotic signatures in free field theory
Dmitry S. Ageev, Vasilii V. Pushkarev
https://arxiv.org/abs/2507.18746 https://arxiv.org/pdf/2507.18746

Chaotic signatures in free field theory
We consider free scalar relativistic field theory in finite volume taken out-of-equilibrium and show how the chaotic behavior emerges in such a quantum system for particular quench protocols. Namely, we show that for the operator local quench, correlation functions exhibit statistical properties quite close to that of the Gaussian orthogonal ensemble of random matrices. Moreover, we show that the spectral form factor for the excited state after the local quench reveals a dip-ramp-plateau struct…

Discounted LQR: stabilizing (near-)optimal state-feedback laws
Jonathan de Brusse, Jamal Daafouz, Mathieu Granzotto, Romain Postoyan, Dragan Nesic
https://arxiv.org/abs/2508.19599

Discounted LQR: stabilizing (near-)optimal state-feedback laws
We study deterministic, discrete linear time-invariant systems with infinite-horizon discounted quadratic cost. It is well-known that standard stabilizability and detectability properties are not enough in general to conclude stability properties for the system in closed-loop with the optimal controller when the discount factor is small. In this context, we first review some of the stability conditions based on the optimal value function found in the learning and control literature and highligh…

Random Discounting and Assessment of Intertemporal Projects: a Non-expected Utility Approach
Wei Ma
https://arxiv.org/abs/2508.17978 https://arxiv.org/pdf/…

Random Discounting and Assessment of Intertemporal Projects: a Non-expected Utility Approach
This paper assumes each individual in society has a random discount factor and assesses an intertemporal project using rank-dependent expected utility theory. We consider both the ex ante and the ex post approaches. For the former, we show the social planner's discount factor is a convex combination of those of the individuals under the standard Pareto condition. For the latter, we propose a method for determining the social planner's discount factor distribution from the individuals' distribut…

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

Posterior bounds on divergence time of two sequences under dependent-site evolutionary models
Joseph Mathews, Scott C. Schmidler
https://arxiv.org/abs/2507.19659 https://…

Posterior bounds on divergence time of two sequences under dependent-site evolutionary models
Let x and y be two length n DNA sequences, and suppose we would like to estimate the divergence time T. A well known simple but crude estimate of T is p := d(x,y)/n, the fraction of mutated sites (the p-distance). We establish a posterior concentration bound on T, showing that the posterior distribution of T concentrates within a logarithmic factor of p when d(x,y)log(n)/n = o(1). Our bounds hold under a large class of evolutionary models, including many standard models that incorporate site de…

Gravitational form factors of the nucleon in the Skyrme model based on scale-invariant chiral perturbation theory
Mitsuru Tanaka, Daisuke Fujii, Mamiya Kawaguchi
https://arxiv.org/abs/2507.21220

Gravitational form factors of the nucleon in the Skyrme model based on scale-invariant chiral perturbation theory
We investigate the role of the QCD scale anomaly in the gravitational form factors of the nucleon -- particularly the $D(t)$ form factor -- as well as the associated stress distribution and internal forces, using a Skyrme model based on the scale-invariant chiral perturbation theory. A distinctive feature of this model is the inclusion of both the pion and the scalar meson, which respectively capture the effects of the current quark mass and gluonic quantum contributions to the scale anomaly. B…

Approximating mixed volumes to arbitrary accuracy
Hariharan Narayanan, Sourav Roy
https://arxiv.org/abs/2508.19582 https://arxiv.org/pdf/2508.19582

Approximating mixed volumes to arbitrary accuracy
We study the problem of approximating the mixed volume $V(P_1^{(α_1)}, \dots, P_k^{(α_k)})$ of an $k$-tuple of convex polytopes $(P_1, \dots, P_k)$, each of which is defined as the convex hull of at most $m_0$ points in $\mathbb{Z}^n$. We design an algorithm that produces an estimate that is within a multiplicative $1 \pm ε$ factor of the true mixed volume with a probability greater than $1 - δ.$ Let the constant $ \prod_{i=2}^{k} \frac{(α_{i}+1)^{α_{i}+1}}{α_{i}^{\,α_{i}}}$ be denoted …

We should add a slop factor to the Drake equation, 9 out of 10 alien civilizations fail because they drown in self-made AI slop

This just occured to me (too much sun and gin lemonade could be a factor): English is a funny language and when they say Artificial they mean Automated, and when they say Intelligence they don't mean smarts, they mean covertly gathering intel from prospective enemies!
Hence #ArtificialIntelligence, often promoted to General.
The purpose of any system is what it does, not what it consistently fails to do.

MFAz: Historical Access Based Multi-Factor Authorization
Eyasu Getahun Chekole, Howard Halim, Jianying Zhou
https://arxiv.org/abs/2507.16060 https://

MFAz: Historical Access Based Multi-Factor Authorization
Unauthorized access remains one of the critical security challenges in the realm of cybersecurity. With the increasing sophistication of attack techniques, the threat of unauthorized access is no longer confined to the conventional ones, such as exploiting weak access control policies. Instead, advanced exploitation strategies, such as session hijacking-based attacks, are becoming increasingly prevalent, posing serious security concerns. Session hijacking enables attackers to take over an alrea…

not an excuse, but I think a situational factor benefiting lefty candidates in NYC compared to SF is New Yorkers aren't worried about their city's economy collapsing. SF's uniquely empty downtown leads to fear of collapse leads to more conservative voting patterns

"Caring for Data’s Soul: The development of a Curation Impact Factor to pinpoint the effects of data curation activities on data quality" https://doi.org/10.2218/ijdc.v19i1.1030

Avoid the US like the plague. https://freefree.ps/@faab64/115068447096730360

Farhad (@faab64@freefree.ps)
Attached: 1 image New guidance from U.S. Citizenship and Immigration Services may make pro-Palestine activism a disqualifying factor for non-citizens who seek to live and work in the US. #Fascism #US #Israel #Protectionism #Genocide #Gaza #Israel #USpol #Palestine https://therealnews.com/feds-move-to-deny-requests-to-live-work-in-us-based-on-pro-palestine-activism @palestine@lemmy.ml @palestine@a.gup.pe

Splitting phenomenon in the Sathe-Selberg theorem, mod-Poisson convergence with auxiliary randomisation and universality of the Gamma factor
Yacine Barhoumi-Andr\'eani
https://arxiv.org/abs/2507.17072

Splitting phenomenon in the Sathe-Selberg theorem, mod-Poisson convergence with auxiliary randomisation and universality of the Gamma factor
We consider several sequences of random variables whose Fourier-Laplace transforms present the same type of \textit{splitting phenomenon} when suitably rescaled by the Fourier-Laplace transform of a Poisson-distributed random variable (mod-Poisson convergence). Addressing a question raised by Kowalski-Nikeghbali, we explain the appearance of a universal term, the \textit{Gamma factor}, by a common feature of each model, the existence of an auxiliary randomisation that reveals an independence st…

Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
Zachary Esses Johnson
https://arxiv.org/abs/2508.15611 https://arx…

Sequential Confirmatory Factor Analysis: A Novel Approach to Latent Variable Measurement
Factor score estimation in small sample sizes often encounters parameter bias and convergence failures when constructing hierarchical national/sub-national indices. This paper proposes a novel method for hierarchical factor analysis called "sequential Confirmatory Factor Analysis". Instead of estimating multiple levels of factors at the same time, this approach calculates factor scores sequentially from the lowest to highest levels. This sequential estimation keeps the original sample size in e…

Crosslisted article(s) found for math.GN. https://arxiv.org/list/math.GN/new
[1/1]:
- Non-commutative Intermediate Factor theorem associated with $W^*$-dynamics of product groups
Tattwamasi Amrutam, Yongle Jiang, Shuoxing Zhou

Record-high-Q AMTIR-1 microresonators for mid- to long-wave infrared nonlinear photonics
Liu Yang, Ryo Sugano, Ryomei Takabayashi, Hajime Kumazaki, Yongyong Zhuang, Xiaoyong Wei, Takasumi Tanabe, Shun Fujii
https://arxiv.org/abs/2505.23362

Record-high-Q AMTIR-1 microresonators for mid- to long-wave infrared nonlinear photonics
AMTIR-1 chalcogenide glass has shown its potential for use in thermal imaging systems owing to its low refractive index, thermal resistance and high transparency across the infrared wavelength regime. Here we report a millimeter-scale high-Q whispering gallery mode microresonator made of AMTIR-1. The recorded Q-factor has reached $1.2\times10^7$ at 1550~nm, which is almost two-orders of magnitude higher than previously reported values. We characterize the thermal properties, where low thermal c…

Cycle-factors of regular graphs via entropy
Micha Christoph, Nemanja Dragani\'c, Ant\'onio Gir\~ao, Eoin Hurley, Lukas Michel, Alp M\"uyesser
https://arxiv.org/abs/2507.19417

Cycle-factors of regular graphs via entropy
It is a classical result that a random permutation of $n$ elements has, on average, about $\log n$ cycles. We generalise this fact to all directed $d$-regular graphs on $n$ vertices by showing that, on average, a random cycle-factor of such a graph has $\mathcal{O}((n\log d)/d)$ cycles. This is tight up to the constant factor and improves the best previous bound of the form $\mathcal{O}(n/\sqrt{\log d})$ due to Vishnoi. Our results also yield randomised polynomial-time algorithms for finding su…

Sycophancy as compositions of Atomic Psychometric Traits
Shreyans Jain, Alexandra Yost, Amirali Abdullah
https://arxiv.org/abs/2508.19316 https://arxiv.org…

Sycophancy as compositions of Atomic Psychometric Traits
Sycophancy is a key behavioral risk in LLMs, yet is often treated as an isolated failure mode that occurs via a single causal mechanism. We instead propose modeling it as geometric and causal compositions of psychometric traits such as emotionality, openness, and agreeableness - similar to factor decomposition in psychometrics. Using Contrastive Activation Addition (CAA), we map activation directions to these factors and study how different combinations may give rise to sycophancy (e.g., high e…

Single-Index Quantile Factor Model with Observed Characteristics
Ruofan Xu, Qingliang Fan
https://arxiv.org/abs/2506.19586 https://ar…

Single-Index Quantile Factor Model with Observed Characteristics
We propose a characteristics-augmented quantile factor (QCF) model, where unknown factor loading functions are linked to a large set of observed individual-level (e.g., bond- or stock-specific) covariates via a single-index projection. The single-index specification offers a parsimonious, interpretable, and statistically efficient way to nonparametrically characterize the time-varying loadings, while avoiding the curse of dimensionality in flexible nonparametric models. Using a three-step sieve…

Crosslisted article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- From \'Etendue to the Lowest Fundamental SNR: Pixel \'Etendue (Optogeometric Factor) Interpreted ...
Jan Sova, Marie Kola\v{r}\'ikov\'a

Malcolm Koonce is an X-Factor for the Raiders in 2025 https://www.si.com/nfl/raiders/malcolm-koonce-x-factor-for-las-vegas-in-2025-

Gravitational $ D$-Form Factor: The $\sigma$-Meson as a Dilaton confronted with Lattice Data
Roy Stegeman, Roman Zwicky
https://arxiv.org/abs/2508.18537 https://

Gravitational $ D$-Form Factor: The $σ$-Meson as a Dilaton confronted with Lattice Data
We investigate the nucleon and pion gravitational $D$-form factors, by fitting a $σ/f_0(500)$-meson pole, together with a background term, to lattice data at $m_π\approx 170\text{MeV}$. We find that the fitted residues are compatible with predictions from dilaton effective theory. In this framework, the $σ$-meson takes on the role of the dilaton, the Goldstone boson of spontaneously broken scale symmetry. These results support the idea that QCD may be governed by an infrared fixed point and …

Low-loss, fabrication-tolerant, and highly-tunable Sagnac loop reflectors and Fabry-P\'erot cavities on thin-film lithium niobate
Luke Qi, Ali Khalatpour, Jason Herrmann, Taewon Park, Devin Dean, Sam Robison, Alexander Hwang, Hubert Stokowski, Darwin Serkland, Martin Fejer, Amir H. Safavi-Naeini
https://arxiv.org/abs/2505.23…

Low-loss, fabrication-tolerant, and highly-tunable Sagnac loop reflectors and Fabry-Pérot cavities on thin-film lithium niobate
We present low-loss ($<1.5\%$) and power-efficient Mach-Zehnder interferometers (MZIs) on thin-film lithium niobate. To accurately measure low MZI losses, we develop a self-calibrated method using tunable Sagnac loop reflectors (SLRs) to build cavities. Fabry-Pérot cavities constructed from these fabrication-tolerant SLRs achieve an intrinsic quality factor of $2 \times 10^6$. By implementing thermal isolation trenches, we also demonstrate a $>10\times$ reduction in power consumption for therm…

Dallas Cowboys top X-factor in 2025 already has team concerned https://www.si.com/nfl/cowboys/news/dallas-cowboys-top-x-factor-2025-already-has-them-concerned

Structured linear factor models for tail dependence
Alexis Boulin, Axel B\"ucher
https://arxiv.org/abs/2507.16340 https://arxiv.…

Structured linear factor models for tail dependence
A common object to describe the extremal dependence of a $d$-variate random vector $X$ is the stable tail dependence function $L$. Various parametric models have emerged, with a popular subclass consisting of those stable tail dependence functions that arise for linear and max-linear factor models with heavy tailed factors. The stable tail dependence function is then parameterized by a $d \times K$ matrix $A$, where $K$ is the number of factors and where $A$ can be interpreted as a factor loadi…

yeast_transcription: Yeast transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the yeast Saccharomyces cerevisiae.
This network has 916 nodes and 1094 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.sk…

Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control
Anas Abdelkarim, Holger Voos, Daniel G\"orges
https://arxiv.org/abs/2506.14341

Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control
Factor graphs have demonstrated remarkable efficiency for robotic perception tasks, particularly in localization and mapping applications. However, their application to optimal control problems -- especially Model Predictive Control (MPC) -- has remained limited due to fundamental challenges in constraint handling. This paper presents a novel integration of the Barrier Interior Point Method (BIPM) with factor graphs, implemented as an open-source extension to the widely adopted g2o framework. O…

Chaplygin and Polytropic gases Teleparallel Robertson-Walker $F(T)$ gravity solutions
Alexandre Landry
https://arxiv.org/abs/2508.19912 https://arxiv.org/p…

Chaplygin and Polytropic gases Teleparallel Robertson-Walker $F(T)$ gravity solutions
This paper investigates the Teleparallel Robertson-Walker (TRW) $F(T)$ gravity solutions for a Chaplygin gas, and then for any polytropic gas cosmological source. We use the TRW $F(T)$ gravity field equations (FEs) for each $k$-parameter value case and the relevant gas equation of state (EoS) to find the new teleparallel $F(T)$ solutions. For flat $k=0$ cosmological case, we find analytical solutions valid for any cosmological scale factor. For curved $k=\pm 1$ cosmological cases, we find new a…

Characterizing the Astrophysical Neutrino Flux Using Contained and Uncontained Cascade Events
Zo\"e Rechav (for the IceCube Collaboration), Emre Yildizci (for the IceCube Collaboration), Lu Lu (for the IceCube Collaboration)
https://arxiv.org/abs/2507.18777

Characterizing the Astrophysical Neutrino Flux Using Contained and Uncontained Cascade Events
Recently, the IceCube Neutrino Observatory has reported a deviation from the single power law in the extragalactic diffuse neutrino flux. A neural network-based event selection of contained and uncontained cascade events from IceCube, in which uncontained events have interaction vertices at the edge or outside of the detector instrumentation volume, has a factor \textasciitilde3 gain in effective area over the cascade events used in the novel combined tracks and cascades selection which reporte…

Longest Unbordered Factors on Run-Length Encoded Strings
Shoma Sekizaki, Takuya Mieno
https://arxiv.org/abs/2507.16285 https://arxiv.…

Longest Unbordered Factors on Run-Length Encoded Strings
A border of a string is a non-empty proper prefix of the string that is also a suffix. A string is unbordered if it has no border. The longest unbordered factor is a fundamental notion in stringology, closely related to string periodicity. This paper addresses the longest unbordered factor problem: given a string of length $n$, the goal is to compute its longest factor that is unbordered. While recent work has achieved subquadratic and near-linear time algorithms for this problem, the best know…

Crosslisted article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/1]:
- Estimating oil recovery factor using machine learning: Applications of XGBoost classification
Roustazadeh, Ghanbarian, Male, Shadmand, Taslimitehrani, Lake

Violation of kinetic uncertainty relation in maser heat engines: Role of spontaneous emission
Varinder Singh, Euijoon Kwon, Jae Sung Lee
https://arxiv.org/abs/2508.18619 https:/…

Violation of kinetic uncertainty relation in maser heat engines: Role of spontaneous emission
We investigate the kinetic uncertainty relation (KUR)-a fundamental trade-off between dynamical activity and current fluctuations-in two configurations of a maser heat engine. We find that KUR violations arise only in one model. This asymmetry originates from spontaneous emission, which breaks the structural symmetry between the configurations and modifies their coherence dynamics. While we analyze several contributing factors-including statistical signatures such as the Fano factor and the rat…

yeast_transcription: Yeast transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the yeast Saccharomyces cerevisiae.
This network has 916 nodes and 1094 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.sk…

Comment on Garc\'ia-Donato et al. (2025) "Model uncertainty and missing data: An objective Bayesian perspective"
Joris Mulder
https://arxiv.org/abs/2508.19939 http…

Comment on García-Donato et al. (2025) "Model uncertainty and missing data: An objective Bayesian perspective"
Garcia-Donato et al. (2025) present a methodology for handling missing data in a model selection problem using an objective Bayesian approach. The current comment discusses an alternative, existing objective Bayesian method for this problem. First, rather than using the g prior, O'Hagan's fractional Bayes factor (O'Hagan, 1995) is utilized based on a minimal fraction. Second, and more importantly due to the focus on missing data, Rubin's rules for multiple imputation can directly be used as the…

Word Chain Generators for Prefix Normal Words
Duncan Adamson, Moritz Dudey, Pamela Fleischmann, Annika Huch
https://arxiv.org/abs/2508.19619 https://arxiv.…

Word Chain Generators for Prefix Normal Words
In 2011, Fici and Lipták introduced prefix normal words. A binary word is prefix normal if it has no factor (substring) that contains more occurrences of the letter 1 than the prefix of the same length. Among the open problems regarding this topic are the enumeration of prefix normal words and efficient testing methods. We show a range of characteristics of prefix normal words. These include properties of factors that are responsible for a word not being prefix normal. With word chains and gen…

Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers
Fahime Seyedheydari, Kevin Conley, Simo S\"arkk\"a
https://arxiv.org/abs/2508.19841

Conditional Normalizing Flow Surrogate for Monte Carlo Prediction of Radiative Properties in Nanoparticle-Embedded Layers
We present a probabilistic, data-driven surrogate model for predicting the radiative properties of nanoparticle embedded scattering media. The model uses conditional normalizing flows, which learn the conditional distribution of optical outputs, including reflectance, absorbance, and transmittance, given input parameters such as the absorption coefficient, scattering coefficient, anisotropy factor, and particle size distribution. We generate training data using Monte Carlo radiative transfer si…

A Multi-Messenger Search for the Supermassive Black Hole Binary in 3C 66B with the Parkes Pulsar Timing Array
Jacob Cardinal Tremblay, Boris Goncharov, Rutger van Haasteren, N. D. Ramesh Bhat, Zu-Cheng Chen, Valentina Di Marco, Satoru Iguchi, Agastya Kapur, Wenhua Ling, Rami Mandow, Saurav Mishra, Daniel J. Reardon, Ryan M. Shannon, Hiroshi Sudou, Jingbo Wang, Shi-Yi Zhao, Xing-Jiang Zhu, Andrew Zic

A Multi-Messenger Search for the Supermassive Black Hole Binary in 3C 66B with the Parkes Pulsar Timing Array
A sub-parsec supermassive black hole binary at the center of the galaxy 3C 66B is a promising candidate for continuous gravitational wave searches with Pulsar Timing Arrays. In this work, we search for such a signal in the third data release of the Parkes Pulsar Timing Array. Matching our priors to estimates of binary parameters from electromagnetic observations, we find log Bayes factor of 0.22, highlighting that the source can be neither confirmed nor ruled out. We place upper limits at 95% c…

yeast_transcription: Yeast transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the yeast Saccharomyces cerevisiae.
This network has 916 nodes and 1094 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.sk…

DANCeRS: A Distributed Algorithm for Negotiating Consensus in Robot Swarms with Gaussian Belief Propagation
Aalok Patwardhan, Andrew J. Davison
https://arxiv.org/abs/2508.18153 …

DANCeRS: A Distributed Algorithm for Negotiating Consensus in Robot Swarms with Gaussian Belief Propagation
Robot swarms require cohesive collective behaviour to address diverse challenges, including shape formation and decision-making. Existing approaches often treat consensus in discrete and continuous decision spaces as distinct problems. We present DANCeRS, a unified, distributed algorithm leveraging Gaussian Belief Propagation (GBP) to achieve consensus in both domains. By representing a swarm as a factor graph our method ensures scalability and robustness in dynamic environments, relying on pur…

Binary Response Forecasting under a Factor-Augmented Framework
Tingting Cheng, Jiachen Cong, Fei Liu, Xuanbin Yang
https://arxiv.org/abs/2507.16462 https:/…

Binary Response Forecasting under a Factor-Augmented Framework
In this paper, we propose a novel factor-augmented forecasting regression model with a binary response variable. We develop a maximum likelihood estimation method for the regression parameters and establish the asymptotic properties of the resulting estimators. Monte Carlo simulation results show that the proposed estimation method performs very well in finite samples. Finally, we demonstrate the usefulness of the proposed model through an application to U.S. recession forecasting. The proposed…

Adjacency spectral radius and H-factors in 1-binding graphs
Sizhong Zhou, Tao Zhang, Zhiren Sun
https://arxiv.org/abs/2506.20273 https://

Adjacency spectral radius and H-factors in 1-binding graphs
Let $G$ be a graph, and let $H:V(G)\longrightarrow\{\{1\},\{0,2\}\}$ be a set-valued function. Hence, $H(v)$ equals $\{1\}$ or $\{0,2\}$ for any $v\in V(G)$. We let $$ H^{-1}(1)=\{v: v\in V(G) \ \mbox{and} \ H(v)=1\}. $$ An $H$-factor of $G$ is a spanning subgraph $F$ of $G$ such that $d_F(v)\in H(v)$ for each $v\in V(G)$. Lu and Kano showed a characterization for the existence of an $H$-factor in a graph [Characterization of 1-tough graphs using factors, Discrete Math. 343 (2020) 111901]. Let …

Identification and Estimation of Multi-order Tensor Factor Models
Zetai Cen
https://arxiv.org/abs/2508.13418 https://arxiv.org/pdf/2508.13418

Identification and Estimation of Multi-order Tensor Factor Models
We propose a novel framework in high-dimensional factor models to simultaneously analyze multiple tensor time series, each with potentially different tensor orders and dimensionality. The connection between different tensor time series is through their global factors that are correlated to each other. A salient feature of our model is that when all tensor time series have the same order, it can be regarded as an extension of multilevel factor models from vectors to general tensors. Under very m…

Saddle-point method for resummed form factors in QCD
Ugo Giuseppe Aglietti, Giancarlo Ferrera, Wan-Li Ju
https://arxiv.org/abs/2506.18707 https://

Saddle-point method for resummed form factors in QCD
We consider the form factor appearing in QCD resummation formalism for event shape distributions in the two-jet (or Sudakov) region. We present an analytic formula for the inverse transform of the form factor, namely from the conjugate moment space to the (physical) momentum space, based on the saddle-point method. The saddle-point itself is determined by means of an analytic recursion method as well as by standard numerical methods. The results we have found are in very good agreement with the…

Large-dimensional Factor Analysis with Weighted PCA
Zhongyuan Lyu, Ming Yuan
https://arxiv.org/abs/2508.15675 https://arxiv.org/pdf/2508.15675

Large-dimensional Factor Analysis with Weighted PCA
Principal component analysis (PCA) is arguably the most widely used approach for large-dimensional factor analysis. While it is effective when the factors are sufficiently strong, it can be inconsistent when the factors are weak and/or the noise has complex dependence structure. We argue that the inconsistency often stems from bias and introduce a general approach to restore consistency. Specifically, we propose a general weighting scheme for PCA and show that with a suitable choice of weightin…

Wild refitting for black box prediction
Martin J. Wainwright
https://arxiv.org/abs/2506.21460 https://arxiv.org/pdf/2506.21460…

Wild refitting for black box prediction
We describe and analyze a computionally efficient refitting procedure for computing high-probability upper bounds on the instance-wise mean-squared prediction error of penalized nonparametric estimates based on least-squares minimization. Requiring only a single dataset and black box access to the prediction method, it consists of three steps: computing suitable residuals, symmetrizing and scaling them with a pre-factor $ρ$, and using them to define and solve a modified prediction problem rece…