Tootfinder

Week 1 NFL survivor pool picks, advice, strategy: Elite expert reveals knockout pick, teams to avoid

https://www.cbssports.com/nfl/news/week-1-

Trump's utterly incoherent Ukraine strategy (John Bolton/Washington Examiner)
https://www.washingtonexaminer.com/opinion/beltway-confidential/3780298/trump-utterly-incoherent-ukraine-strategy-john-bolton/
http://www.memeorandum.com/250825/p52#a250825p52

EANS: Reducing Energy Consumption for UAV with an Environmental Adaptive Navigation Strategy
Tian Liu, Han Liu, Boyang Li, Long Chen, Kai Huang
https://arxiv.org/abs/2506.20485

EANS: Reducing Energy Consumption for UAV with an Environmental Adaptive Navigation Strategy
Unmanned Aerial Vehicles (UAVS) are limited by the onboard energy. Refinement of the navigation strategy directly affects both the flight velocity and the trajectory based on the adjustment of key parameters in the UAVS pipeline, thus reducing energy consumption. However, existing techniques tend to adopt static and conservative strategies in dynamic scenarios, leading to inefficient energy reduction. Dynamically adjusting the navigation strategy requires overcoming the challenges including the…

Hybrid Tokenization Strategy for DNA Language Model using Byte Pair Encoding and K-MER Methods
Ganesh Sapkota, Md Hasibur Rahman
https://arxiv.org/abs/2507.18570 https://…

Hybrid Tokenization Strategy for DNA Language Model using Byte Pair Encoding and K-MER Methods
This paper presents a novel hybrid tokenization strategy that enhances the performance of DNA Language Models (DLMs) by combining 6-mer tokenization with Byte Pair Encoding (BPE-600). Traditional k-mer tokenization is effective at capturing local DNA sequence structures but often faces challenges, including uneven token distribution and a limited understanding of global sequence context. To address these limitations, we propose merging unique 6mer tokens with optimally selected BPE tokens gener…

ESPN makes a minority investment in Premier Lacrosse League, marking a shift in the network's strategy as it looks to invest in areas beyond traditional TV (Sara Fischer/Axios)
https://www.axios.com/2025/06/25/espn-premier-lacrosse-league-media-right…

ESPN takes minority stake in Premier Lacrosse League
This marks a shift in ESPN's strategy.

This choice of price point undercuts OpenAI and Anthropic ($1 each) but that's still effectively zero.
I am surprised that the obvious numerological pandering isn't pointed out in the article
Google’s ‘Gemini for Government’ offers AI platform to federal agencies for 47 cents | FedScoop

Google’s ‘Gemini for Government’ offers AI platform to federal agencies for 47 cents
The OneGov deal gives Google a pricing edge over competitors like OpenAI and Anthropic, which offer their models for $1 per federal agency.

Time-Optimal Control of Finite Dimensional Open Quantum Systems via a Model Predictive Strategy
Yunyan Lee, Ian R. Petersen, Daoyi Dong
https://arxiv.org/abs/2508.16205 https://…

Time-Optimal Control of Finite Dimensional Open Quantum Systems via a Model Predictive Strategy
To mitigate dissipative effects from environmental interactions and efficiently stabilize quantum states, time-optimal control has emerged as an effective strategy for open quantum systems. This paper extends the framework by incorporating Positive Operator-Valued Measures (POVMs) into the control process, enabling quantum measurements to guide control updates at each step. To address uncertainties in measurement outcomes, we derive a lower bound on the probability of obtaining a desired outcom…

NFL football knockout, survivor pool picks, advice, strategy for Week 1, 2025: Avoid the Cardinals

https://www.cbssports.com/nfl/news/nfl-foo

Finite-Horizon Strategy in Infinite-Horizon Linear-Quadratic Discrete-Time Dynamic Games
Shengyuan Huang, Xiaoguang Yang, Yifen Mu, Wenjun Mei
https://arxiv.org/abs/2506.19565

Finite-Horizon Strategy in Infinite-Horizon Linear-Quadratic Discrete-Time Dynamic Games
This paper explores a finite-horizon strategy, ``watching $T$ steps into the future and moving one step now,'' in an $N$-person infinite-horizon discrete-time linear-quadratic dynamic game. The game involves linear input/output/state dynamics and quadratic cost functions with heterogeneous discount factors. For the finite-horizon version, which forms the basis of the infinite-horizon game, we analyze the structure of the coupled generalized discrete Riccati difference equations related to the f…

Convergence Rate of Efficient MCMC with Ancillarity-Sufficiency Interweaving Strategy for Panel Data Models
Makoto Nakakita, Tomoki Toyabe, Teruo Nakatsuma, Takahiro Hoshino
https://arxiv.org/abs/2507.18404

Convergence Rate of Efficient MCMC with Ancillarity-Sufficiency Interweaving Strategy for Panel Data Models
Improving Markov chain Monte Carlo algorithm efficiency is essential for enhancing computational speed and inferential accuracy in Bayesian analysis. These improvements can be effectively achieved using the ancillarity-sufficiency interweaving strategy (ASIS), an effective means of achieving such gains. Herein, we provide the first rigorous theoretical justification for applying ASIS in Bayesian hierarchical panel data models. Asymptotic analysis demonstrated that when the product of prior vari…

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI
Ren\'e Bohnsack, Mickie de Wet
https://arxiv.org/abs/2506.17339

AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI
This article develops the concept of Autonomous Business Models (ABMs) as a distinct managerial and strategic logic in the age of agentic AI. While most firms still operate within human-driven or AI-augmented models, we argue that we are now entering a phase where agentic AI (systems capable of initiating, coordinating, and adapting actions autonomously) can increasingly execute the core mechanisms of value creation, delivery, and capture. This shift reframes AI not as a tool to support strateg…

Towards Designing an Energy Aware Data Replication Strategy for Cloud Systems Using Reinforcement Learning
Amir Najjar, Riad Mokadem, Jean-Marc Pierson
https://arxiv.org/abs/2507.18459

Towards Designing an Energy Aware Data Replication Strategy for Cloud Systems Using Reinforcement Learning
The rapid growth of global data volumes has created a demand for scalable distributed systems that can maintain a high quality of service. Data replication is a widely used technique that provides fault tolerance, improved performance and higher availability. Traditional implementations often rely on threshold-based activation mechanisms, which can vary depending on workload changes and system architecture. System administrators typically bear the responsibility of adjusting these thresholds. T…

Few would label Mace kind or gentle
As she engages in a relentless crusade against trans rights, she is more one-trick pony than “caucus of one."
https://newrepublic.com/article/196207/nancy-mace-future-republican-party

Nancy Mace Is the Future of the Republican Party
The South Carolina representative isn’t just a bigot and a laughing stock. She’s pioneering a media strategy that her GOP colleagues will follow.

Yikes, there is always so much infosec news but Metacurity helps a lot with the overload.
Check out today's issue for the cybersecurity developments you should know, including
--Cyber insurance premiums dropped for the first time in 2024,
--CyberAv3ngers shift to psychological manipulation,
--Another hacker hits Paraguay,
--50% of ransomware payments are less than expected,
--Pro-Russian group was reportedly behind Norwegian dam hack,
--UK 2025 …

Cyber insurance premiums dropped for the first time in 2024
CyberAv3ngers shift to psychological manipulation, Another hacker hits Paraguay, 50% of ransomware payments are less than expected, Pro-Russian group was reportedly behind Norwegian dam hack, UK 2025 strategy calls for stronger cyber capabilities, Hackers abuse Trezor's support form, much more

(PDF) Guiding sightless people one dimension at a time: how the strategy used in spontaneous voice instructions benefits sonification-based guidance https://hal.science/hal-05165934v1 On sensory substitution for the blind

🇪🇺 🌐 With its new International Digital Strategy for the #EuropeanUnion, the EU aims to expand international partnerships, deploy an EU Tech Business Offer to partner countries, strengthen security and global digital governance.
GÉANT is proud to support several of the strategy's key areas, outlined today by Commissioner Henna Virkkunen at the

High Level Session 2: Digital Public Goods and Global Digital Cooperation, IGF 2025
The 20th annual meeting of the Internet Governance Forum is hosted by the Government of the Norway in Lillestrøm from 23 to 27 June 2025. The Forum's overarching theme is: Building Digital Governance Together.

Experiential marketing strategy and tourism demand in the contribution of the positioning of the floating islands Los Uros, Puno
Guina Flores Montalico
https://arxiv.org/abs/2506.18937

Experiential marketing strategy and tourism demand in the contribution of the positioning of the floating islands Los Uros, Puno
Experiential focused on creating memorable and meaningful experiences for consumers, has emerged as a key strategy in promoting tourist destinations. particularly in destinations seeking to highlight their unique cultural characteristics. In this study, the influence of experiential marketing on the tourism demand of the floating islands Los Uros, Puno, an emblematic destination in Peru, is analyzed. The objective of the research was to evaluate how experiential marketing strategies impact tour…

Semiconductor giant Intel has officially begun a new round of layoffs, following through on CEO Lip-Bu Tan's warning two months ago that job cuts were "inevitable" as part of a wider restructuring strategy.
https://www.computing.co.uk/news/2025/inte

Intel begins laying off 10,000 under CEO Lip-Bu Tan
Plus: Microsoft readies another wave of Xbox cuts

Cooperative Suppression Strategy for Dual Thermal Transport Channels in Crystalline Materials
Yu Wu, Ying Chen, Shuming Zeng, Hao Zhang, Liujiang Zhou, Chenhan Liu, Su-Huai Wei
https://arxiv.org/abs/2508.17318

Cooperative Suppression Strategy for Dual Thermal Transport Channels in Crystalline Materials
We propose a novel design principle for achieving ultralow thermal conductivity in crystalline materials via a "heavy-light and soft-stiff" structural motif. By combining heavy and light atomic species with soft and stiff bonding networks, both particle-like ($κ_p$) and wave-like ($κ_c$) phonon transport channels are concurrently suppressed. First-principles calculations show that this architecture induces a hierarchical phonon spectrum: soft-bonded heavy atoms generate dense low-frequency mo…

After U.S. Takes Stake in Intel, Trump Pledges 'Many More' Deals (New York Times)
https://www.nytimes.com/2025/08/25/us/politics/trump-intel-economy-strategy.html
http://www.memeorandum.com/250825/p116#a250825p116

Thank you, #ItCouldHappenHere for explaining why #GavinNewsome is so problematic and a repeat of that old Democratic losing strategy of moving to the right to try to win.
It doesn't attract the right and it alienates the left, so you lose.

🦙 Nanobody neutralizes deadly Nipah and Hendra viruses in lab tests
#medicine

Nanobody neutralizes deadly Nipah and Hendra viruses in lab tests
Researchers have discovered a strategy to neutralize two highly lethal viruses for which there is currently no approved vaccine or cure.

Dehumanization of opponents – the core strategy of Russian propaganda | Hate Speech: https://benborges.xyz/2025/07/23/dehumanization-of-opponents-the-core.html

A good friend of mine has the Muppet character "Beaker" as his avatar. For reasons.
He offers me advice. I offer him advice. We chat. These are #ChatsWithBeaker

Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition
Alexandros Evangelidis, Gricel V\'azquez, Simos Gerasimou
https://arxiv.org/abs/2506.17792

Efficient Strategy Synthesis for MDPs via Hierarchical Block Decomposition
Software-intensive systems, such as software product lines and robotics, utilise Markov decision processes (MDPs) to capture uncertainty and analyse sequential decision-making problems. Despite the usefulness of conventional policy synthesis methods, they fail to scale to large state spaces. Our approach addresses this issue and accelerates policy synthesis in large MDPs by dynamically refining the MDP and iteratively selecting the most fragile MDP regions for refinement. This iterative procedu…

From ⁨⁨⁨⁨⁨#AnnafromUkraine⁩⁩⁩⁩⁩ @AnnafromUkraine@youtube.com
#RUSSIA’S #GASOLINE CRISIS: REFINERY SHUTDOWN STRATEGY Vlog 1144: War in

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
Long Xing, Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jinsong Li, Shuangrui Ding, Weiming Zhang, Nenghai Yu, Jiaqi Wang, Feng Wu, Dahua Lin
https://arxiv.org/abs/2506.19848

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
This paper presents ScaleCap, an inference-time scalable image captioning strategy that generates comprehensive and detailed image captions. The key challenges of high-quality image captioning lie in the inherent biases of LVLMs: multimodal bias resulting in imbalanced descriptive granularity, offering detailed accounts of some elements while merely skimming over others; linguistic bias leading to hallucinated descriptions of non-existent objects. To address these issues, we propose a scalable …

Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
Asger Horn Brorholt, Andreas Holck H{\o}eg-Petersen, Peter Gj{\o}l Jensen, Kim Guldstrand Larsen, Marius Miku\v{c}ionis, Christian Schilling, Andrzej W\k{a}sowski
https://arxiv.org/abs/2508.16345

Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
We present Uppaal Coshy, a tool for automatic synthesis of a safety strategy -- or shield -- for Markov decision processes over continuous state spaces and complex hybrid dynamics. The general methodology is to partition the state space and then solve a two-player safety game, which entails a number of algorithmically hard problems such as reachability for hybrid systems. The general philosophy of Uppaal Coshy is to approximate hard-to-obtain solutions using simulations. Our implementation is f…

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Shusen Ma, Yun-Bo Zhao, Yu Kang
https://arxiv.org/abs/2507.17454

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Multivariate time series forecasting has drawn increasing attention due to its practical importance. Existing approaches typically adopt either channel-mixing (CM) or channel-independence (CI) strategies. CM strategy can capture inter-variable dependencies but fails to discern variable-specific temporal patterns. CI strategy improves this aspect but fails to fully exploit cross-variable dependencies like CM. Hybrid strategies based on feature fusion offer limited generalization and interpretabi…

Memento: Note-Taking for Your Future Self
Chao Wan, Albert Gong, Mihir Mishra, Carl-Leander Henneking, Claas Beger, Kilian Q. Weinberger
https://arxiv.org/abs/2506.20642

Memento: Note-Taking for Your Future Self
Large language models (LLMs) excel at reasoning-only tasks, but struggle when reasoning must be tightly coupled with retrieval, as in multi-hop question answering. To overcome these limitations, we introduce a prompting strategy that first decomposes a complex question into smaller steps, then dynamically constructs a database of facts using LLMs, and finally pieces these facts together to solve the question. We show how this three-stage strategy, which we call Memento, can boost the performanc…

An Empirical Study of Complexity, Heterogeneity, and Compliance of GitHub Actions Workflows
Edward Abrokwah, Taher A. Ghaleb
https://arxiv.org/abs/2507.18062 https://

An Empirical Study of Complexity, Heterogeneity, and Compliance of GitHub Actions Workflows
Continuous Integration (CI) has evolved from a tooling strategy to a fundamental mindset in modern CI engineering. It enables teams to develop, test, and deliver software rapidly and collaboratively. Among CI services, GitHub Actions (GHA) has emerged as a dominant service due to its deep integration with GitHub and a vast ecosystem of reusable workflow actions. Although GHA provides official documentation and community-supported best practices, there appears to be limited empirical understandi…

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning
Fatma Bet\"ul G\"ure\c{s}, Tanya Nazaretsky, Bahar Radmehr, Martina Rau, Tanja K\"aser
https://arxiv.org/abs/2507.17760

How Instructional Sequence and Personalized Support Impact Diagnostic Strategy Learning
Supporting students in developing effective diagnostic reasoning is a key challenge in various educational domains. Novices often struggle with cognitive biases such as premature closure and over-reliance on heuristics. Scenario-based learning (SBL) can address these challenges by offering realistic case experiences and iterative practice, but the optimal sequencing of instruction and problem-solving activities remains unclear. This study examines how personalized support can be incorporated in…

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…

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Legacy Learning Strategy Based on Few-Shot Font Generation Models for Automatic Text Design in Me...
Younghwi Kim, Dohee Kim, Seok Chan Jeong, Sunghyun Sim

"The Economics of Open: Can Open Licensing Be a Sustainable Strategy for Cultural Heritage Institutions?" https://www.create.ac.uk/blog/2025/07/18/the-economics-of-open-can-open-licensing-be-a…

An Explicit Solution for the Problem of Optimal Investment with Random Endowment
Michael Donisch, Christoph Knochenhauer
https://arxiv.org/abs/2506.20506 h…

An Explicit Solution for the Problem of Optimal Investment with Random Endowment
We consider the problem of optimal investment with random endowment in a Black--Scholes market for an agent with constant relative risk aversion. Using duality arguments, we derive an explicit expression for the optimal trading strategy, which can be decomposed into the optimal strategy in the absence of a random endowment and an additive shift term whose magnitude depends linearly on the endowment-to-wealth ratio and exponentially on time to maturity.

On graph automorphisms related to Snort
Rylo Ashmore, Beth Ann Austin, Alfie M. Davies, Danny Dyer, William Kellough
https://arxiv.org/abs/2506.20669 https…

On graph automorphisms related to Snort
We study the outcomes of various positions of the game Snort. When played on graphs admitting an automorphism of order two that maps vertices outside of their closed neighbourhoods (called opposable graphs), the second player has a winning strategy. We give a necessary and sufficient condition for a graph to be opposable, and prove that the property of being opposable is preserved by several graph products. We show examples that a graph being second-player win does not imply that the graph is o…

Some 60 countries worldwide have security committees similar to the one about to be established in Germany.
[...]
"The [previous] German coalition government managed to draft a national security strategy [#NaSi] but failed to create a national security council [#NSR] in the proce…

INLA-RF: A Hybrid Modeling Strategy for Spatio-Temporal Environmental Data
Mario Figueira, Michela Cameletti, Luca Patelli
https://arxiv.org/abs/2507.18488 https://

INLA-RF: A Hybrid Modeling Strategy for Spatio-Temporal Environmental Data
Environmental processes often exhibit complex, non-linear patterns and discontinuities across space and time, posing significant challenges for traditional geostatistical modeling approaches. In this paper, we propose a hybrid spatio-temporal modeling framework that combines the interpretability and uncertainty quantification of Bayesian models -- estimated using the INLA-SPDE approach -- with the predictive power and flexibility of Random Forest (RF). Specifically, we introduce two novel algor…

Optimal Feedback Control in Social Networks in a McKean-Vlasov-Friedkin-Johnsen System
Paramahansa Pramanik
https://arxiv.org/abs/2508.17138 https://arxiv.…

Optimal Feedback Control in Social Networks in a McKean-Vlasov-Friedkin-Johnsen System
This paper presents a comprehensive analytical formulation for deriving a closed-form optimal strategy for agents operating within a social network, modeled through a McKean-Vlasov stochastic differential equation (SDE). Each agent aims to minimize a personal dynamic cost functional that accounts for deviations from the collective opinions of others, their own past beliefs, and is influenced by randomness and inherent opinion rigidity, often described as stubbornness. To tackle this, we develop…

I wrote a few words about how I made the @… bot and what I learned as part of doing so.
I'd also love some feedback on the current alt-text-strategy!
#openstreetmap #panoramax
https://tzovar.as/panoramax-bot/

2025 IDP rankings and draft strategy: The Travis Hunter dilemma and more https://www.nytimes.com/athletic/6508990/2025/07/23/2025-idp-rankings-draft-strategy-hunter/

The Exceptional Set in Goldbach's Problem with two Chen Primes
Lasse Grimmelt, Joni Ter\"av\"ainen
https://arxiv.org/abs/2508.16400 https://a…

The Exceptional Set in Goldbach's Problem with two Chen Primes
We show that all natural numbers $n\equiv 4\pmod 6$ are the sum of two Chen primes (primes $p$ such that $p+2$ has at most two prime factors), apart from a power-saving set of exceptions. This improves on various previous results and is optimal, barring substantial progress on the twin prime or binary Goldbach conjectures. The proof is based on constructing a non-negative model for the Chen primes in a suitable approximate sense. To do this, we develop an efficient sieving strategy that makes…

A phase field model for hydraulic fracture: Drucker-Prager driving force and a hybrid coupling strategy
Y. Navidtehrani, C. Beteg\'on, J. Vallejos, E. Mart\'inez-Pa\~neda
https://arxiv.org/abs/2506.18161

A phase field model for hydraulic fracture: Drucker-Prager driving force and a hybrid coupling strategy
Recent years have seen a significant interest in using phase field approaches to model hydraulic fracture, so as to optimise a process that is key to industries such as petroleum engineering, mining and geothermal energy extraction. Here, we present a novel theoretical and computational phase field framework to simulate hydraulic fracture. The framework is general and versatile, in that it allows for improved treatments of the coupling between fluid flow and the phase field, and encompasses a u…

Yes. Next question.
https://assortedflotsam.com/@NewsBot/114899264881817977

Harnessing Higgs Kinematics for HEFT Constraints
Christoph Englert, Tom Ingebretsen Carlson, J\"orgen Sj\"olin, Michael Spannowsky
https://arxiv.org/abs/2506.19401

Harnessing Higgs Kinematics for HEFT Constraints
We present a momentum-dependent reweighting strategy to extend current LHC di-Higgs analyses within the $κ$-framework and SMEFT into the bosonic sector of the Higgs Effective Field Theory (HEFT). Unlike SMEFT, where symmetry constraints tightly correlate multi-Higgs processes, HEFT allows for a broader range of momentum-dependent deviations that can substantially impact di-Higgs kinematics and offer a powerful probe of non-linear Higgs dynamics. We generalise the interpretation of existing exp…

And yes, the US Congress, with many #Democrats voting in favor, continues to send weapons to Israel. Why?
“If they recycle the Israeli bombs that didn’t explode there is an endless supply of explosives, and the genocide provides an infinite recruiting pool for new members.”
"American intelligence estimates suggest Hamas has recruited 15,000 operatives during the war, about twice a…

And yes, the US Congress, with many #Democrats voting in favor, continues to send weapons to Israel. Why?
“If they recycle the Israeli bombs that didn’t explode there is an endless supply of explosives, and the genocide provides an infinite recruiting pool for new members.”
"American intelligence estimates suggest Hamas has recruited 15,000 operatives during the war, about twice a…

U-Net Based Healthy 3D Brain Tissue Inpainting
Juexin Zhang, Ying Weng, Ke Chen
https://arxiv.org/abs/2507.18126 https://arxiv.org/pdf/2507.18126

U-Net Based Healthy 3D Brain Tissue Inpainting
This paper introduces a novel approach to synthesize healthy 3D brain tissue from masked input images, specifically focusing on the task of 'ASNR-MICCAI BraTS Local Synthesis of Tissue via Inpainting'. Our proposed method employs a U-Net-based architecture, which is designed to effectively reconstruct the missing or corrupted regions of brain MRI scans. To enhance our model's generalization capabilities and robustness, we implement a comprehensive data augmentation strategy that involves random…

Robust Market Making: To Quote, or not To Quote
Ziyi Wang, Carmine Ventre, Maria Polukarov
https://arxiv.org/abs/2508.16588 https://arxiv.org/pdf/2508.1658…

Robust Market Making: To Quote, or not To Quote
Market making is a popular trading strategy, which aims to generate profit from the spread between the quotes posted at either side of the market. It has been shown that training market makers (MMs) with adversarial reinforcement learning allows to overcome the risks due to changing market conditions and to lead to robust performances. Prior work assumes, however, that MMs keep quoting throughout the trading process, but in practice this is not required, even for ``registered'' MMs (that only n…

DirecTV experiments with discontinuing satellite TV subscriptions for new customers in several US regions and directing subscribers toward its streaming option (Luke Bouma/Cord Cutters News)
https://cordcuttersnews.com/directv-stop…

DIRECTV Stops Selling Satellite TV for New Customers in Select Areas | Cord Cutters News
DIRECTV, a leading provider of television entertainment, has announced a significant shift in its service offerings, discontinuing satellite TV subscriptions for new customers in several regions across the United States. The company is now directing new subscribers toward its streaming option, as part of a broader strategy to adapt to evolving consumer preferences and technological […]

Towards automated generation of fast and accurate algorithms for recursive matrix multiplication
Jean-Guillaume Dumas (CASC), Cl\'ement Pernet (CASC), Alexandre Sedoglavic (CRIStAL)
https://arxiv.org/abs/2506.19405

Towards automated generation of fast and accurate algorithms for recursive matrix multiplication
We propose a strategy for the generation of fast and accurate versions of non-commutative recursive matrix multiplication algorithms. To generate these algorithms, we consider matrix and tensor norm bounds governing the stability and accuracy of numerical matrix multiplication. We start by a unification on known max-norm bounds on matrix multiplication stability and then extend them to further norms and more generally to recursive bilinear algorithms and the alternative basis matrix multiplicat…

Limit-Computable Grains of Truth for Arbitrary Computable Extensive-Form (Un)Known Games
Cole Wyeth, Marcus Hutter, Jan Leike, Jessica Taylor
https://arxiv.org/abs/2508.16245 ht…

Limit-Computable Grains of Truth for Arbitrary Computable Extensive-Form (Un)Known Games
A Bayesian player acting in an infinite multi-player game learns to predict the other players' strategies if his prior assigns positive probability to their play (or contains a grain of truth). Kalai and Lehrer's classic grain of truth problem is to find a reasonably large class of strategies that contains the Bayes-optimal policies with respect to this class, allowing mutually-consistent beliefs about strategy choice that obey the rules of Bayesian inference. Only small classes are known to ha…

RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction
Huy-Son Nguyen, Quang-Huy Nguyen, Duc-Hoang Pham, Duc-Trong Le, Hoang-Quynh Le, Padipat Sitkrongwong, Atsuhiro Takasu, Masoud Mansoury
https://arxiv.org/abs/2507.14361

RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction
Existing studies on bundle construction have relied merely on user feedback via bipartite graphs or enhanced item representations using semantic information. These approaches fail to capture elaborate relations hidden in real-world bundle structures, resulting in suboptimal bundle representations. To overcome this limitation, we propose RaMen, a novel method that provides a holistic multi-strategy approach for bundle construction. RaMen utilizes both intrinsic (characteristics) and extrinsic (c…

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- A PBN-RL-XAI Framework for Discovering a "Hit-and-Run" Therapeutic Strategy in Melanoma
Zhonglin Liu

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
Mayank Kumar Jain, Dinesh Gopalani, Yogesh Kumar Meena, Nishant Jain
https://arxiv.org/abs/2508.16223

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media
With the rapid evolution of technology and the Internet, the proliferation of fake news on social media has become a critical issue, leading to widespread misinformation that can cause societal harm. Traditional fact checking methods are often too slow to prevent the dissemination of false information. Therefore, the need for rapid, automated detection of fake news is paramount. We introduce DaCFake, a novel fake news detection model using a divide and conquer strategy that combines content and…

NFL betting guide: Four keys to help you navigate the 2025 season, plus early picks https://www.espn.com/espn/betting/story/_/id/46038649/nfl-betting-guide-2025-strategy-tips-odds-spreads-props-parlays

Is Kissing Trump's Ass, Real Nice and Slow How He Likes It, a Good Strategy? (Hamilton Nolan/How Things Work)
https://www.hamiltonnolan.com/p/is-kissing-trumps-ass-real-nice-and
http://www.memeorandum.com/250726/p37#a250726p37

Semantic-Aware Ship Detection with Vision-Language Integration
Jiahao Li, Jiancheng Pan, Yuze Sun, Xiaomeng Huang
https://arxiv.org/abs/2508.15930 https://…

Semantic-Aware Ship Detection with Vision-Language Integration
Ship detection in remote sensing imagery is a critical task with wide-ranging applications, such as maritime activity monitoring, shipping logistics, and environmental studies. However, existing methods often struggle to capture fine-grained semantic information, limiting their effectiveness in complex scenarios. To address these challenges, we propose a novel detection framework that combines Vision-Language Models (VLMs) with a multi-scale adaptive sliding window strategy. To facilitate Seman…

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
https://arxiv.org/abs/2508.16524 https://

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
Enabling neural networks to learn complex logical constraints and fulfill symbolic reasoning is a critical challenge. Bridging this gap often requires guiding the neural network's output distribution to move closer to the symbolic constraints. While diffusion models have shown remarkable generative capability across various domains, we employ the powerful architecture to perform neuro-symbolic learning and solve logical puzzles. Our diffusion-based pipeline adopts a two-stage training strategy:…

Trump and his henchmen have a new strategy to target political opponents: allegations of mortgage fraud.
First it was Letitia James, the New York attorney general,
then it was Adam Schiff, a California senator.
Now, Trump is targeting Federal Reserve governor Lisa Cook, demandingshe resign and threatening to fire her.
Cook, the first Black woman to be appointed a Fed governor, was appointed in 2022 by Joe Biden.
Her 14-year term is not due to expire until 2038.…

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
Yonghao Fu, Cheng Hu, Haokun Xiong, Zhangpeng Bao, Wenyuan Du, Edoardo Ghignone, Michele Magno, Lei Xie, Hongye Su
https://arxiv.org/abs/2507.18396

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
In vehicle trajectory tracking tasks, the simplest approach is the Pure Pursuit (PP) Control. However, this single-point preview tracking strategy fails to consider vehicle model constraints, compromising driving safety. Model Predictive Control (MPC) as a widely adopted control method, optimizes control actions by incorporating mechanistic models and physical constraints. While its control performance critically depends on the accuracy of vehicle modeling. Traditional vehicle modeling approach…

Towards Designing an Energy Aware Data Replication Strategy for Cloud Systems Using Reinforcement Learning
Amir Najjar, Riad Mokadem, Jean-Marc Pierson
https://arxiv.org/abs/2507.18459

Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network
Ryoya Fukasaku, Yutaro Kabata, Akifumi Okuno
https://arxiv.org/abs/2508.17783

Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network
This paper investigates a perceptron, a simple neural network model, with ReLU activation and a ridge-regularized mean squared error (RR-MSE). Our approach leverages the fact that the RR-MSE for ReLU perceptron is piecewise polynomial, enabling a systematic analysis using tools from computational algebra. In particular, we develop a Divide-Enumerate-Merge strategy that exhaustively enumerates all local minima of the RR-MSE. By virtue of the algebraic formulation, our approach can identify not o…

Cybersecurity plays a significant role in the new White House AI plan, but experts say the cyber provisions lack teeth and burden agencies already facing budget cuts.
For more on this, check out my latest CSO piece.
Many thanks to Arnie Bellini of ConnectSecure, Daniel Bardenstein of Manifest Cyber, Jenny Marron of the Institute for AI Policy and Strategy, and Heather West of the Center for Cybersecurity Policy and Law.

White House AI plan heavy on cyber, light on implementation
Well-received for its cybersecurity provisions, Trump’s AI action plan could face hurdles in practice due to a lack of implementation hooks and the burden it adds to agencies navigating budget cuts, experts say.

Optimal Data Reduction under Information-Theoretic Criteria
Taotao He, Jun Luo, Junkai Zhao
https://arxiv.org/abs/2508.16123 https://arxiv.org/pdf/2508.161…

Optimal Data Reduction under Information-Theoretic Criteria
Selecting an optimal subset of features or instances under an information theoretic criterion has become an effective preprocessing strategy for reducing data complexity while preserving essential information. This study investigates two representative problems within this paradigm: feature selection based on the maximum relevance minimum redundancy criterion, and instance selection grounded in the Kullback Leibler divergence. To address the intrinsic nonconvexities of these problems, we develo…

Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
Jun Wook Heo, Raja Jurdak, Sara Khalifa
https://arxiv.org/abs/2506.17268

Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
High penetration of Photovoltaic (PV) generation and Battery Energy Storage System (BESS) in individual households increases the demand for solutions to determine the optimal PV generation power and the capacity of BESS. Self-consumption and self-sufficiency are essential for optimising the operation of PV-BESS systems in households, aiming to minimise power import from and export to the main grid. However, self-consumption and self-sufficiency are not independent; they share a linear relations…

Unwavering EU stance – strategy to support and strengthen Ukraine | Wrap-Up Analytics: https://benborges.xyz/2025/07/13/unwavering-eu-stance-strategy-to.html

Johnson defends House GOP Epstein strategy amid legislative chaos (Meredith Lee Hill/Politico)
https://www.politico.com/live-updates/2025/07/23/congress/johnson-defends-epstein-strategy-00470275
http://www.memeorandum.com/250723/p80#a250723p80

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) …

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
https://arxiv.org/abs/2508.16524 https://

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
Enabling neural networks to learn complex logical constraints and fulfill symbolic reasoning is a critical challenge. Bridging this gap often requires guiding the neural network's output distribution to move closer to the symbolic constraints. While diffusion models have shown remarkable generative capability across various domains, we employ the powerful architecture to perform neuro-symbolic learning and solve logical puzzles. Our diffusion-based pipeline adopts a two-stage training strategy:…

Balancing the exploration-exploitation trade-off in active learning for surrogate model-based reliability analysis via multi-objective optimization
Jonathan A. Moran, Pablo G. Morato
https://arxiv.org/abs/2508.18170

Balancing the exploration-exploitation trade-off in active learning for surrogate model-based reliability analysis via multi-objective optimization
Reliability assessment of engineering systems is often hindered by the need to evaluate limit-state functions through computationally expensive simulations, rendering standard sampling impractical. An effective solution is to approximate the limit-state function with a surrogate model iteratively refined through active learning, thereby reducing the number of expensive simulations. At each iteration, an acquisition strategy selects the next sample by balancing two competing goals: exploration, …

Effective Multi-Task Learning for Biomedical Named Entity Recognition
Jo\~ao Ruano, Gon\c{c}alo M. Correia, Leonor Barreiros, Afonso Mendes
https://arxiv.org/abs/2507.18542 http…

Effective Multi-Task Learning for Biomedical Named Entity Recognition
Biomedical Named Entity Recognition presents significant challenges due to the complexity of biomedical terminology and inconsistencies in annotation across datasets. This paper introduces SRU-NER (Slot-based Recurrent Unit NER), a novel approach designed to handle nested named entities while integrating multiple datasets through an effective multi-task learning strategy. SRU-NER mitigates annotation gaps by dynamically adjusting loss computation to avoid penalizing predictions of entity types …

Chapter 11 Students' interaction with and appreciation of automated informative tutoring feedback
Gerben van der Hoek, Bastiaan Heeren, Rogier Bos, Paul Drijvers, Johan Jeuring
https://arxiv.org/abs/2507.15650

Chapter 11 Students' interaction with and appreciation of automated informative tutoring feedback
Computer aided formative assessment can be used to enhance a learning process, for instance by providing feedback. There are many design choices for delivering feedback, that lead to a feedback strategy. In an informative feedback strategy, students do not immediately receive information about the correct response, but are offered the opportunity to retry a task to apply feedback information. In this small-scale qualitative study, we explore an informative feedback strategy designed to offer a …

A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods
Moritz Hauck, Alexei Lozinski, Roland Maier
https://arxiv.org/abs/2506.19462

A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods
We introduce a generalized framework for studying higher-order versions of the multiscale method known as Localized Orthogonal Decomposition. Through a suitable reformulation, we are able to accommodate both conforming and nonconforming constraints in the construction process. In particular, we offer a new perspective on localization strategies. We fully analyze the strategy for linear elliptic problems and discuss extensions to the Helmholtz equation and the Gross--Pitaevskii eigenvalue proble…

Ultimate Draft Board: Perfect picks for every round in a 12-team league https://www.espn.com/fantasy/football/story/_/id/45944596/2025-fantasy-football-rankings-draft-strategy-best-picks-round

Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
Malte Probst, Raphael Wenzel, Tim Puphal, Monica Dasi, Nico A. Steinhardt, Sango Matsuzaki, Misa Komuro
https://arxiv.org/abs/2506.20320

Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
In Social Robot Navigation, autonomous agents need to resolve many sequential interactions with other agents. State-of-the art planners can efficiently resolve the next, imminent interaction cooperatively and do not focus on longer planning horizons. This makes it hard to maneuver scenarios where the agent needs to select a good strategy to find gaps or channels in the crowd. We propose to decompose trajectory planning into two separate steps: Conflict avoidance for finding good, macroscopic tr…

Donald Trump rolled tanks through Washington, DC, and deployed the USMC to the streets of Los Angeles.
It took him 152 days to break his promise and bomb Iran without a strategy — or any semblance of a plan.
That’s why I helped launch the Save America Movement.
We’re a clear-eyed 50-state movement to degrade and defeat Trumpism.
SAM is rooted in strategy, truth, and moral clarity.
We’re not reacting.
We’re organizing.
And we’re doing it in every c…

Sign your name to let us know you're with us in the Save America Movement »

LeAP-SSN: A Semismooth Newton Method with Global Convergence Rates
Amal Alphonse, Pavel Dvurechensky, Ioannis P. A. Papadopoulos, Clemens Sirotenko
https://arxiv.org/abs/2508.16468

LeAP-SSN: A Semismooth Newton Method with Global Convergence Rates
We propose LeAP-SSN (Levenberg--Marquardt Adaptive Proximal Semismooth Newton method), a semismooth Newton-type method with a simple, parameter-free globalisation strategy that guarantees convergence from arbitrary starting points in nonconvex settings to stationary points, and under a Polyak--Lojasiewicz condition, to a global minimum, in Hilbert spaces. The method employs an adaptive Levenberg--Marquardt regularisation for the Newton steps, combined with backtracking, and does not require kno…

Fortune laid off its European editorial team, including Executive Editor Alex Wood Morton; the layoffs took place before its 10% global workforce cut on July 21 (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/news/fortune-…

Fortune Europe editorial team made redundant but new roles being created
The London-based editorial team focused on Europe set up by Fortune last year has been made redundant amid a strategy pivot.

A Joint Planning Model for Fixed and Mobile Electric Vehicle Charging Stations Considering Flexible Capacity Strategy
Zhe Yu, Xue Hu, Qin Wang
https://arxiv.org/abs/2507.17587 h…

A Joint Planning Model for Fixed and Mobile Electric Vehicle Charging Stations Considering Flexible Capacity Strategy
The widespread adoption of electric vehicles (EVs) has significantly increased demand on both transportation and power systems, posing challenges to their stable operation. To support the growing need for EV charging, both fixed charging stations (FCSs) and mobile charging stations (MCSs) have been introduced, serving as key interfaces between the power grid and traffic network. Recognizing the importance of collaborative planning across these sectors, this paper presents a two-stage joint plan…

Probing AI Safety with Source Code
Ujwal Narayan, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Karthik Narasimhan, Ameet Deshpande, Vishvak Murahari
https://arxiv.org/abs/2506.20471

Probing AI Safety with Source Code
Large language models (LLMs) have become ubiquitous, interfacing with humans in numerous safety-critical applications. This necessitates improving capabilities, but importantly coupled with greater safety measures to align these models with human values and preferences. In this work, we demonstrate that contemporary models fall concerningly short of the goal of AI safety, leading to an unsafe and harmful experience for users. We introduce a prompting strategy called Code of Thought (CoDoT) to e…

Improved Generalized Planning with LLMs through Strategy Refinement and Reflection
Katharina Stein, Nils Hodel, Daniel Fi\v{s}er, J\"org Hoffmann, Michael Katz, Alexander Koller
https://arxiv.org/abs/2508.13876

Improved Generalized Planning with LLMs through Strategy Refinement and Reflection
LLMs have recently been used to generate Python programs representing generalized plans in PDDL planning, i.e., plans that generalize across the tasks of a given PDDL domain. Previous work proposed a framework consisting of three steps: the LLM first generates a summary and then a strategy for the domain, both in natural language, and then implements that strategy as a Python program, that gets debugged on example planning tasks. In that work, only one strategy is generated and passed directly …

Analysis of Fe and Co binary catalysts in chemical vapor deposition growth of single-walled carbon nanotubes
Qingmei Hu, Ya Feng, Wanyu Dai, Daisuke Asa, Daniel Hedman, Aina Fito Parera, Yixi Yao, Yongjia Zheng, Kaoru Hisama, Gunjan Auti, Hirofumi Daiguji, Christophe Bichara, Shohei Chiashi, Yan Li, Wim Wenseleers, Dmitry Levshov, Sofie Cambre, Keigo Otsuka, Rong Xiang, Shigeo Maruyama

Analysis of Fe and Co binary catalysts in chemical vapor deposition growth of single-walled carbon nanotubes
Metal catalysts play a pivotal role in the growth of single-walled carbon nanotubes (SWCNTs), with binary metallic catalysts emerging as an efficient SWCNT synthesis strategy. Among these, iron (Fe), cobalt (Co), and their alloys are particularly effective. However, prior studies have predominantly employed Fe--Co alloy catalysts with fixed atomic ratios as well as unchanged chemical vapor deposition (CVD) conditions, leaving the influence of variable Fe--Co compositions and CVD growth paramete…

A multi-strategy improved snake optimizer for three-dimensional UAV path planning and engineering problems
Genliang Li, Yaxin Cui, Jinyu Su
https://arxiv.org/abs/2507.14043

A multi-strategy improved snake optimizer for three-dimensional UAV path planning and engineering problems
Metaheuristic algorithms have gained widespread application across various fields owing to their ability to generate diverse solutions. One such algorithm is the Snake Optimizer (SO), a progressive optimization approach. However, SO suffers from the issues of slow convergence speed and susceptibility to local optima. In light of these shortcomings, we propose a novel Multi-strategy Improved Snake Optimizer (MISO). Firstly, we propose a new adaptive random disturbance strategy based on sine func…

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
Guinan Su, Li Shen, Lu Yin, Shiwei Liu, Yanwu Yang, Jonas Geiping
https://arxiv.org/abs/2506.20480

GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
Large language models (LLMs) have shown remarkable capabilities in language understanding and generation. However, such impressive capability typically comes with a substantial model size, which presents significant challenges in deployment and inference. While structured pruning of model parameters offers a promising way to reduce computational costs at deployment time, current methods primarily focus on single model pruning. In this work, we develop a novel strategy to compress models by stra…

Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
Dongxuan Zhu, Weihuan Huang, Caihua Chen
https://arxiv.org/abs/2507.18277

Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
We develop an adaptive Nesterov accelerated proximal gradient (adaNAPG) algorithm for stochastic composite optimization problems, boosting the Nesterov accelerated proximal gradient (NAPG) algorithm through the integration of an adaptive sampling strategy for gradient estimation. We provide a complexity analysis demonstrating that the new algorithm, adaNAPG, achieves both the optimal iteration complexity and the optimal sample complexity as outlined in the existing literature. Additionally, we …

'No prima donnas': How Sean Payton and the Broncos built a roster with Super expectations https://www.espn.com/nfl/story/_/id/46041161/denver-broncos-roster-building-philosophy-construction-sean-payton

TikTok launches Music On Stage 2025, a global contest for artists from 23 regions on TikTok Live; it will promote winners on its distribution platform SoundOn (Mandy Dalugdug/Music Business Worldwide)
https://www.musicbusinessworldwide.com/tik

TikTok expands live music competition strategy with Music On Stage ’25 contest
Contestants will advance through audience votes, small gifts, and judges’ bonus points.

Time-Constrained Interception of Seeker-Equipped Interceptors with Bounded Input
Ashok Samrat R, Swati Singh, Shashi Ranjan Kumar
https://arxiv.org/abs/2506.19522

Time-Constrained Interception of Seeker-Equipped Interceptors with Bounded Input
This paper presents a nonlinear guidance scheme designed to achieve precise interception of stationary targets at a pre-specified impact time. The proposed strategy essentially accounts for the constraints imposed by the interceptor's seeker field-of-view (FOV) and actuator limitations, which, if ignored, can degrade guidance performance. To address these challenges, the guidance law incorporates known actuator bounds directly into its design, thereby improving overall interceptor effectiveness…

Long-term atomistic finite-temperature substitutional diffusion
Shashank Saxena, Prateek Gupta, Dennis M. Kochmann
https://arxiv.org/abs/2506.19543 https:/…

Long-term atomistic finite-temperature substitutional diffusion
Simulating long-term mass diffusion kinetics with atomic precision is important to predict chemical and mechanical properties of alloys over time scales of engineering interest in applications, including (but not limited to) alloy heat treatment, corrosion resistance, and hydrogen embrittlement. We present a new strategy to bridge from the time scale of atomic vibrations to that of vacancy-mediated atomic hops by a combination of statistical mechanics-based Gaussian phase packets (GPP) relaxati…

An approach to control design for two-level quantum ensemble systems
Ruikang Liang, Gong Cheng
https://arxiv.org/abs/2506.19740 https://

An approach to control design for two-level quantum ensemble systems
Quantum ensemble systems arise in a variety of applications, including NMR spectroscopy and robust quantum control. While their theoretical properties have been extensively studied, relatively little attention has been given to the explicit construction of control inputs. In this paper, we address this gap by presenting a fully implementable control strategy for a one-parameter family of driftless two-level quantum systems. The proposed method is supported by rigorous analysis that guarantees a…

A Data-Driven Approach for Topology Correction in Low Voltage Networks with DERs
Dong Liu, Sander Timmerman, Yu Xiang, Peter Palensky, Pedro P. Vergara
https://arxiv.org/abs/2506.20238

A Data-Driven Approach for Topology Correction in Low Voltage Networks with DERs
This paper introduces a data-driven topology identification and correction approach for low-voltage distribution networks (LVDNs) combined with a time-based smart meter data selection strategy, aiming to correct outdated recordings and identify the missed recordings. The proposed approach solely relies on voltage magnitude measurements, releasing privacy concerns and measurement burdens. It enables the distribution system operators to identify switch states through supervised learning algorithm…

Top NFL football knockout, survivor pool picks, advice, optimal strategy for Week 1, 2025: Avoid the Cardinals

https://www.cbssports.com/nfl/news/top-nfl…

Memo to staff: Fortune cut 10% of staff, citing a traffic decline and rise of audio/video, says its new strategy is to cultivate "premium franchise communities" (Max Tani/@maxwelltani)
https://x.com/maxwelltani/status/1947382422510965145

Max Tani (@maxwelltani) on X
In an email to employees, Fortune says it has cut 10% of staff, the result of a decline in traffic, and rise of audio/video. The company says its new strategy is "to cultivate our premium franchise communities and deliver premium editorial content to them."

SLAM-based Safe Indoor Exploration Strategy
Omar Mostafa, Nikolaos Evangeliou, Anthony Tzes
https://arxiv.org/abs/2508.14235 https://arxiv.org/pdf/2508.142…

SLAM-based Safe Indoor Exploration Strategy
This paper suggests a 2D exploration strategy for a planar space cluttered with obstacles. Rather than using point robots capable of adjusting their position and altitude instantly, this research is tailored to classical agents with circular footprints that cannot control instantly their pose. Inhere, a self-balanced dual-wheeled differential drive system is used to explore the place. The system is equipped with linear accelerometers and angular gyroscopes, a 3D-LiDAR, and a forward-facing RGB-…

Metal-Free Room-Temperature Ferromagnetism
Hongde Yu, Thomas Heine
https://arxiv.org/abs/2508.17264 https://arxiv.org/pdf/2508.17264

Metal-Free Room-Temperature Ferromagnetism
Achieving robust room-temperature ferromagnetism in purely organic 2D crystals remains a fundamental challenge, primarily due to antiferromagnetic (AFM) coupling mediated by π-electron superexchange. Here, we present a mix-topology design strategy to induce strong ferromagnetic (FM) coupling in metal-free 2D systems. By covalently connecting radical polyaromatic hydrocarbon monomers (also referred to as nanographenes) with distinct sublattice topologies, this approach rationally breaks inversi…

Tough draft-day decisions: Can you pick a top-5 QB and top-3 TE and like your team? https://www.espn.com/fantasy/football/story/_/id/46037366/2025-fantasy-football-draft-strategy-value-travis-hunter-saquon-barkley

Week 1 NFL survivor pool picks, advice, strategy: Elite expert reveals knockout pick, teams to avoid

https://www.cbssports.com/nfl/news/week-1-

Why you need to make 'shooting for the stars' your go-to fantasy football draft strategy https://www.nytimes.com/athletic/6498113/2025/07/16/fantasy-football-draft-strategy-adp-shoot-for-stars/