Tootfinder

A Three-Level Whole-Body Disturbance Rejection Control Framework for Dynamic Motions in Legged Robots
Bolin Li, Gewei Zuo, Zhixiang Wang, Xiaotian Ke, Lijun Zhu, Han Ding
https://arxiv.org/abs/2508.13531

A Three-Level Whole-Body Disturbance Rejection Control Framework for Dynamic Motions in Legged Robots
This paper presents a control framework designed to enhance the stability and robustness of legged robots in the presence of uncertainties, including model uncertainties, external disturbances, and faults. The framework enables the full-state feedback estimator to estimate and compensate for uncertainties in whole-body dynamics of the legged robots. First, we propose a novel moving horizon extended state observer (MH-ESO) to estimate uncertainties and mitigate noise in legged systems, which can…

Q: why is javascript an ideal language for BPD girls?
A: it has an event for unhandled rejection of a promise

An EPTAS for multiprocessor scheduling with rejection under a machine cost constraint
Mingyang Gong, Brendan Mumey
https://arxiv.org/abs/2507.12635 https:/…

An EPTAS for multiprocessor scheduling with rejection under a machine cost constraint
We study the multiprocessor scheduling with rejection problem under a machine cost constraint. In this problem, each job is either rejected with a rejection penalty or; accepted and scheduled on one of the machines for processing. The machine cost is proportional to the total processing time of the jobs scheduled on it. The problem aims to minimize the makespan of accepted jobs plus the total rejection penalty of rejected jobs while the total machine cost does not exceed a given upper bound. We…

Iterative Youla-Kucera Loop Shaping For Precision Motion Control
Xiaohai Hu, Jason Laks, Guoxiao Guo, Xu Chen
https://arxiv.org/abs/2508.14309 https://arxi…

Iterative Youla-Kucera Loop Shaping For Precision Motion Control
This paper presents a numerically robust approach to multi-band disturbance rejection using an iterative Youla-Kucera parameterization technique. The proposed method offers precise control over shaping the frequency response of a feedback loop while maintaining numerical stability through a systematic design process. By implementing an iterative approach, we overcome a critical numerical issue in rejecting vibrations with multiple frequency bands. Meanwhile, our proposed modification of the all…

CC-LEARN: Cohort-based Consistency Learning
Xiao Ye, Shaswat Shrivastava, Zhaonan Li, Jacob Dineen, Shijie Lu, Avneet Ahuja, Ming Shen, Zhikun Xu, Ben Zhou
https://arxiv.org/abs/2506.15662

CC-LEARN: Cohort-based Consistency Learning
Large language models excel at many tasks but still struggle with consistent, robust reasoning. We introduce Cohort-based Consistency Learning (CC-Learn), a reinforcement learning framework that improves the reliability of LLM reasoning by training on cohorts of similar questions derived from shared programmatic abstractions. To enforce cohort-level consistency, we define a composite objective combining cohort accuracy, a retrieval bonus for effective problem decomposition, and a rejection pena…

Donald Trump urged Iranians to evacuate Tehran,
citing what he said was the country's rejection of a deal to curb nuclear weapons development.
Trump was due to leave the Group of Seven summit in Canada later on Monday -- a day early -- due to the Middle East situation, the White House said.
Fox News reported Trump would convene his National Security Council.

'Rejection': Conservative GOP governor torpedoes 6 different far-right MAGA bills - Alternet.org
https://www.alternet.org/kelly-ayotte-maga/?utm_source=Iterable&utm_medium=email&utm_campaign=Jul.16.2025_8.38pm

NaaS – No-as-a-Service
No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun “no,” or want to simulate being turned down in style.
– from @…
❌

GitHub - hotheadhacker/no-as-a-service: No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun “no,” or want to simulate being turned down in style.
No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun “no,” or want to simulate being turned down in style. - hotheadhacker/n...

Rejection-Sampled Linear Codes for Lossy Compression and Channel Simulation
Cheuk Ting Li, Jianguo Zhao
https://arxiv.org/abs/2506.09239 https://

Rejection-Sampled Linear Codes for Lossy Compression and Channel Simulation
We show that a linear code combined with rejection sampling can give a capacity-achieving scheme for simulating channels with additive noises with exchangeable distributions. Hence, it can be used in lossy source coding to achieve the rate-distortion function. Interestingly, unlike conventional linear covering codes for lossy compression which concerns the trade-off between the rate and the covering radius, our construction only requires the linear code to have a large distance (not a large cov…

ROC-n-reroll: How verifier imperfection affects test-time scaling
Florian E. Dorner, Yatong Chen, Andr\'e F. Cruz, Fanny Yang
https://arxiv.org/abs/2507.12399

ROC-n-reroll: How verifier imperfection affects test-time scaling
Test-time scaling aims to improve language model performance by leveraging additional compute during inference. While many works have empirically studied techniques like Best-of-N (BoN) and rejection sampling that make use of a verifier to enable test-time scaling, there is little theoretical understanding of how verifier imperfection affects performance. In this work, we address this gap. Specifically, we prove how instance-level accuracy of these methods is precisely characterized by the geom…

Path Integral Monte Carlo in the Angular Momentum Basis for a Chain of Planar Rotors
Est\^ev\~ao de Oliveira, Muhammad Shaeer Moeed, Pierre-Nicholas Roy
https://arxiv.org/abs/2506.14977

Path Integral Monte Carlo in the Angular Momentum Basis for a Chain of Planar Rotors
We introduce a Path Integral Monte Carlo (PIMC) approach that uses the angular momentum representation for the description of interacting rotor systems. Such a choice of representation allows the calculation of momentum properties without having to break the paths. The discrete nature of the momentum basis also allows the use of rejection-free Gibbs sampling techniques. To illustrate the method, we study the collective behavior of $N$ confined planar rotors with dipole-dipole interactions, a sy…

This https://arxiv.org/abs/2505.19746 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Improving Heart Rejection Detection in XPCI Images Using Synthetic Data Augmentation
Accurate identification of acute cellular rejection (ACR) in endomyocardial biopsies is essential for effective management of heart transplant patients. However, the rarity of high-grade rejection cases (3R) presents a significant challenge for training robust deep learning models. This work addresses the class imbalance problem by leveraging synthetic data generation using StyleGAN to augment the limited number of real 3R images. Prior to GAN training, histogram equalization was applied to sta…

A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm
Renata Retkute, Christopher A. Gilligan
https://arxiv.org/abs/2507.02072

A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm
We introduce a novel two-stage parameter estimation framework designed to improve computational efficiency in settings involving complex, stochastic, or analytically intractable dynamic models. The proposed method, termed \textit{ABC-RF-rejection}, integrates Approximate Bayesian Computation (ABC) rejection sampling with Random Forest (RF) classification to efficiently screen parameter sets that produce simulations consistent with observed data. We evaluate the performance of this approach usin…

Enhancements to the IceCube Extremely High Energy Neutrino Selection using Graph & Transformer Based Neural Networks
Maxwell Nakos (for the IceCube Collaboration), Aske Rosted (for the IceCube Collaboration), Lu Lu (for the IceCube Collaboration)
https://arxiv.org/abs/2507.11774

Enhancements to the IceCube Extremely High Energy Neutrino Selection using Graph & Transformer Based Neural Networks
KM3NeT has recently reported the detection of a very high-energy neutrino event, while IceCube has previously set upper limits on the differential neutrino flux above 100 PeV but has yet to observe a neutrino event with an energy comparable to that of the KM3NeT detection. To improve diffuse measurements above 10 PeV, we apply machine learning techniques to enhance atmospheric muon background rejection and directional reconstruction. We utilize a Graph Neural Network (GNN) to perform a classifi…

Mittlerweile ist es ja fast langweilig, noch ein Beispiel und noch ein Beispiel dafür zu sehen, wie die #Datenkartelle wie #Elsevier den wissenschaftlichen Diskurs verrotten lassen - aber wir wissen, was in der jetzigen Situation auf dem Spiel steht.

I'm not saying any new shit:
"I have almost reached the regrettable conclusion that the Negro's great stumbling block in his stride toward freedom is not the White Citizen's Counciler or the Ku Klux Klanner, but the white moderate, who is more devoted to "order" than to justice; who prefers a negative peace which is the absence of tension to a positive peace which is the presence of justice; who constantly says: "I agree with you in the goal you seek, but I cannot agree with your methods of direct action"; who paternalistically believes he can set the timetable for another man's freedom; who lives by a mythical concept of time and who constantly advises the Negro to wait for a "more convenient season." Shallow understanding from people of good will is more frustrating than absolute misunderstanding from people of ill will. Lukewarm acceptance is much more bewildering than outright rejection."
- Letter from a Birmingham Jail, MLK

MMW: Side Talk Rejection Multi-Microphone Whisper on Smart Glasses
Yang Liu, Li Wan, Yiteng Huang, Yong Xu, yangyang shi, Saurabh Adya, ming sun, Florian Metze
https://arxiv.org/abs/2507.05609

MMW: Side Talk Rejection Multi-Microphone Whisper on Smart Glasses
Smart glasses are increasingly positioned as the next-generation interface for ubiquitous access to large language models (LLMs). Nevertheless, achieving reliable interaction in real-world noisy environments remains a major challenge, particularly due to interference from side speech. In this work, we introduce a novel side-talk rejection multi-microphone Whisper (MMW) framework for smart glasses, incorporating three key innovations. First, we propose a Mix Block based on a Tri-Mamba architectu…

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
https://arxiv.org/abs/2506.22506

SABRE-FL: Selective and Accurate Backdoor Rejection for Federated Prompt Learning
Federated Prompt Learning has emerged as a communication-efficient and privacy-preserving paradigm for adapting large vision-language models like CLIP across decentralized clients. However, the security implications of this setup remain underexplored. In this work, we present the first study of backdoor attacks in Federated Prompt Learning. We show that when malicious clients inject visually imperceptible, learnable noise triggers into input images, the global prompt learner becomes vulnerable …

EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection
Syed M. Arshad, Lee C. Potter, Yingmin Liu, Christopher Crabtree, Matthew S. Tong, Rizwan Ahmad
https://arxiv.org/abs/2507.23224

EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection
We propose EMORe, an adaptive reconstruction method designed to enhance motion robustness in free-running, free-breathing self-gated 5D cardiac magnetic resonance imaging (MRI). Traditional self-gating-based motion binning for 5D MRI often results in residual motion artifacts due to inaccuracies in cardiac and respiratory signal extraction and sporadic bulk motion, compromising clinical utility. EMORe addresses these issues by integrating adaptive inter-bin correction and explicit outlier rejec…

I had no idea that seeing institutions like the family and marriage as authoritarian was actually a core anarchist principle for thinkers like Rudolf Rocker.
Realizing this now, it’s striking how my own instincts since my early childhood have always lined up with anarchism’s rejection of all forms of social coercion and imposed authority, even in the most intimate parts of life.
Guess that’s another layer peeled back, the more you learn, the clearer it gets.

19.3 GHz Acoustic Filter with High Close-in Rejection in Tri-layer Thin-Film Lithium Niobate
Omar Barrera, Sinwoo Cho, Jack Kramer, Vakhtang Chulukhadze, Tzu-Hsuan Hsu, Ruochen Lu
https://arxiv.org/abs/2506.22411

19.3 GHz Acoustic Filter with High Close-in Rejection in Tri-layer Thin-Film Lithium Niobate
Acoustic filters are preferred front-end solutions at sub-6 GHz due to their superior frequency selectivity compared to electromagnetic (EM) counterparts. With the ongoing development of 5G and the evolution toward 6G, there is a growing need to extend acoustic filter technologies into frequency range 3 (FR3), which spans 7 to 24 GHz to accommodate emerging high-frequency bands. However, scaling acoustic filters beyond 10 GHz presents significant challenges, as conventional platforms suffer fro…

Compact Amplified Laser Power Stabilization Using Robust Active Disturbance Rejection Control with Sensor Noise Decoupling
Yanpei Shi, Jingxuan Zhang, Zhuo Shi, Chenyao Zhang, Yuze Guo, Rui Feng
https://arxiv.org/abs/2506.08404

Compact Amplified Laser Power Stabilization Using Robust Active Disturbance Rejection Control with Sensor Noise Decoupling
Laser power instability, encompassing random jitter and slow drift, severely limits the performance of optically pumped magnetometers (OPMs) in detecting ultra-weak magnetic fields, especially in large-scale OPM arrays for magnetoencephalography. Although a unified amplified laser (AL) architecture improves integration, fluctuations in the pump beam progressively degrade performance across all channels, exacerbated by environmental disturbances and system uncertainties. To address this challeng…

Calamus 18 City of my walks and joys!
A celebration of Manhattan. I love Whitman's embrace of cities as being just as vital as nature unspoiled. It reflects the humanist aspect of his joy in the world, not a Thoreau-like rejection of civilization.
I also love that Whitman is writing about cruising the streets, making eye contact with potential lovers, celebrating offerings of love.
as I pass, O Manhattan! your frequent and swift flash of eyes offering me love
Offering me the response of my own—these repay me,
Lovers, continual lovers, only repay me.
Whitman punched up the first line in later editions, escalating to "City of orgies, walks and joys!"

Active Disturbance Rejection Control for Trajectory Tracking of a Seagoing USV: Design, Simulation, and Field Experiments
Jelmer van der Saag, Elia Trevisan, Wouter Falkena, Javier Alonso-Mora
https://arxiv.org/abs/2506.21265

Active Disturbance Rejection Control for Trajectory Tracking of a Seagoing USV: Design, Simulation, and Field Experiments
Unmanned Surface Vessels (USVs) face significant control challenges due to uncertain environmental disturbances like waves and currents. This paper proposes a trajectory tracking controller based on Active Disturbance Rejection Control (ADRC) implemented on the DUS V2500. A custom simulation incorporating realistic waves and current disturbances is developed to validate the controller's performance, supported by further validation through field tests in the harbour of Scheveningen, the Netherla…

This https://arxiv.org/abs/2412.18486 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Calibrating the Subjective
I conduct Rabin's (2000) calibration exercise in the subjective expected utility realm. I show that the rejection of some risky bet by a risk-averse agent only implies the rejection of more extreme and less desirable bets and nothing more.

I love the @… Security Advisory Database because they actually preserve the data from rejected advisories including the original information and the reason for rejection.
It’s clearly much more insightful than just having a bare ID marked as "rejected."
You can easily spot this in vulnerability-lookup:

Optimizing Gaussian Process Kernels Using Nested Sampling and ABC Rejection for H(z) Reconstruction
Jia-yan Jiang, Kang Jiao, Tong-Jie Zhang
https://arxiv.org/abs/2506.21238

Optimizing Gaussian Process Kernels Using Nested Sampling and ABC Rejection for H(z) Reconstruction
Recent cosmological observations have achieved high-precision measurements of the Universe's expansion history, prompting the use of nonparametric methods such as Gaussian processes (GP) regression. We apply GP regression for reconstructing the Hubble parameter using CC data, with improved covariance modeling and latest study in CC data. By comparing reconstructions in redshift space $z$ and transformed space $\log(z+1)$ , we evaluate six kernel functions using nested sampling (NS) and approxim…

European countries have been growing increasingly wary of relying on Microsoft for critical government and public sector services.
Concerns about data privacy, digital sovereignty, and potential governmental surveillance have led many to question the viability of depending on an American tech giant for sensitive infrastructure.
Many worry that dependence on Microsoft could leave them vulnerable to sudden service interruptions or the risk of sensitive data being accessed without …

French City of Lyon Kicks Out Microsoft
Microsoft faces growing rejection in Europe whereas open source software sees growing adaption.

Accelerating multijet-merged event generation with neural network matrix element surrogates
Tim Herrmann, Timo Jan{\ss}en, Mathis Schenker, Steffen Schumann, Frank Siegert
https://arxiv.org/abs/2506.06203

Accelerating multijet-merged event generation with neural network matrix element surrogates
The efficient simulation of multijet final states presents a serious computational task for analyses of LHC data and will be even more so at the HL-LHC. We here discuss means to accelerate the generation of unweighted events based on a two-stage rejection-sampling algorithm that employs neural-network surrogates for unweighting the hard-process matrix elements. To this end, we generalise the previously proposed algorithm based on factorisation-aware neural networks to the case of multijet mergi…

Output Regulation for Impedance Passive Systems with Input Saturation
Thavamani Govindaraj, Lassi Paunonen
https://arxiv.org/abs/2506.16365 https://…

Output Regulation for Impedance Passive Systems with Input Saturation
We consider output tracking and disturbance rejection for abstract infinite-dimensional systems with input saturation. We solve the control problem using a control law which consists of a stabilising error feedback term and a feedforward term based on the reference and disturbance signals. We use our results to design control laws for output tracking and disturbance rejection for a two-dimensional heat equation and a one-dimensional wave equation with boundary control and observation.

On the rejection of Argentina and Poland (among others) proposals for a moon treaty by the USA and the USSR.
#SpacePolicy

Rejection or Inclusion in the Emotion-Identity Dynamics of TikTok Refugees on RedNote
Mingchen Li, Wenbo Xu, Wenqing Gu, Yixuan Xie, Yao Zhou, Yunsong Dai, Cheng Tan, Pan Hui
https://arxiv.org/abs/2507.14623

Rejection or Inclusion in the Emotion-Identity Dynamics of TikTok Refugees on RedNote
This study examines cross-cultural interactions between Chinese users and self-identified "TikTok Refugees"(foreign users who migrated to RedNote after TikTok's U.S. ban). Based on a dataset of 1,862 posts and 403,054 comments, we use large language model-based sentiment classification and BERT-based topic modelling to explore how both groups engage with the TikTok refugee phenomenon. We analyse what themes foreign users express, how Chinese users respond, how stances (Pro-China, Neutral, Pro-F…

Lammy slowly emerging from a long sleep?
David Lammy 'appalled and sickened' by civilian suffering in Gaza - BBC News
https://www.bbc.co.uk/news/articles/cgjg993670jo

David Lammy 'appalled and sickened' by civilian suffering in Gaza
The UK foreign secretary also criticises Israel's rejection of an international statement calling for the war to end.

A class of unified disturbance rejection control barrier functions
Xinyang Wang, Wei Xiao, Hongwei Zhang
https://arxiv.org/abs/2508.01601 https://arxiv.org…

A class of unified disturbance rejection control barrier functions
Most existing robust control barrier functions (CBFs) can only handle matched disturbances, restricting their applications in real-world scenarios. While some recent advances extend robust CBFs to unmatched disturbances, they heavily rely on differentiability property of disturbances, and fail to accommodate non-differentiable case for high-relative-degree safety constraints. To address these limitations, this paper proposes a class of disturbance rejection CBFs (DRCBFs), including DRCBFs and a…

NUTRIG: Development of a Novel Radio Self-Trigger for GRAND
Pablo Correa, Jelena K\"ohler
https://arxiv.org/abs/2507.04339 https://

NUTRIG: Development of a Novel Radio Self-Trigger for GRAND
The NUTRIG project is dedicated to the development of advanced radio self-trigger methods for large-scale arrays such as the Giant Radio Array for Neutrino Detection (GRAND). The developed techniques are based on features of the radio emission of air showers to perform an efficient online rejection of background. We first describe a first-level trigger (FLT) template-matching method that uses the shape of transient radio pulses measured at the detection-unit level to target those induced by air…

Navigating Cookie Consent Violations Across the Globe
Brian Tang, Duc Bui, Kang G. Shin
https://arxiv.org/abs/2506.08996 https://arxi…

Navigating Cookie Consent Violations Across the Globe
Online services provide users with cookie banners to accept/reject the cookies placed on their web browsers. Despite the increased adoption of cookie banners, little has been done to ensure that cookie consent is compliant with privacy laws around the globe. Prior studies have found that cookies are often placed on browsers even after their explicit rejection by users. These inconsistencies in cookie banner behavior circumvent users' consent preferences and are known as cookie consent violation…

Solving inverse problems of Type IIB flux vacua with conditional generative models
Sven Krippendorf, Zhimei Liu
https://arxiv.org/abs/2506.22551 https://…

Solving inverse problems of Type IIB flux vacua with conditional generative models
We address the inverse problem in Type IIB flux compactifications of identifying flux vacua with targeted phenomenological properties such as specific superpotential values or tadpole constraints using conditional generative models. These machine learning techniques overcome computational bottlenecks in traditional approaches such as rejection sampling and Markov Chain Monte Carlo (MCMC), which struggle to generate rare, finely-tuned vacua. As a proof of concept, we demonstrate that conditional…

Design and performance of a Toroidal RF Volume Coil with Intrinsic Electromagnetic Interference Rejection for low-field Portable Halbach-Based MRI Systems
Jules Vliem (Electrical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands), Najac Chloe (C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands), Beatrice Lena (C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Le…

Design and performance of a Toroidal RF Volume Coil with Intrinsic Electromagnetic Interference Rejection for low-field Portable Halbach-Based MRI Systems
Purpose: One of the intrinsic limitations of low-field MRI is low signal-to-noise ratio (SNR), which can be further reduced by electromagnetic interference (EMI) due to the lack of a Faraday shielded room. To address this issue, we propose a novel RF coil design that is inherently less sensitive to EMI while maintaining high receive sensitivity. Methods: The proposed coil structure is based on an anapole (toroidal) design and consists of six rings, each containing four continuous wires wound ar…

Hybrid quantum-classical algorithm for near-optimal planning in POMDPs
Gilberto Cunha, Alexandra Ram\^oa, Andr\'e Sequeira, Michael de Oliveira, Lu\'is Barbosa
https://arxiv.org/abs/2507.18606 …

Hybrid quantum-classical algorithm for near-optimal planning in POMDPs
Reinforcement learning (RL) provides a principled framework for decision-making in partially observable environments, which can be modeled as Markov decision processes and compactly represented through dynamic decision Bayesian networks. Recent advances demonstrate that inference on sparse Bayesian networks can be accelerated using quantum rejection sampling combined with amplitude amplification, leading to a computational speedup in estimating acceptance probabilities.\\ Building on this resul…

A Spectral-Based Tuning Criterion for PI Controllers in IPDT Systems With Unified Tracking and Disturbance Rejection Performance
Dhamdhawach Horsuwan
https://arxiv.org/abs/2507.01197

A Spectral-Based Tuning Criterion for PI Controllers in IPDT Systems With Unified Tracking and Disturbance Rejection Performance
This paper proposes a spectral-based tuning method for proportional-integral (PI) controllers in integrating-plus-dead-time (IPDT) systems. The design objective is to achieve unified exponential decay for both reference tracking and disturbance rejection by minimizing the spectral abscissa of the closed-loop system. A second-order semi-discrete model accurately captures the integrator and delay dynamics while enabling efficient dominant pole extraction. These discrete-time poles are mapped to c…

Testing Gamma/Hadron Separation for Ultra-High-Energy Cherenkov Astronomy
Sruthiranjani Ravikularaman (for the PANOSETI Collaboration), Felix Riehn, Dominik Elsaesser
https://arxiv.org/abs/2508.01354

Testing Gamma/Hadron Separation for Ultra-High-Energy Cherenkov Astronomy
Dark100 is a planned array of six telescopes, using the Panoramic Search for Extraterrestrial Intelligence (PANOSETI) telescope system. It will operate as an imaging atmospheric Cherenkov telescope array, with a telescope design and array layout optimized for accessing gamma rays with tens of TeV to PeV energies. The science goals of Dark100 include the search for ultra-heavy dark matter, observations of Galactic Pevatrons, and the search for ultra-fast optical transients. Rejection of backgrou…

A Wide-Input 0.25 um BCD LDO with Dual-Stage Amplifier and Active Ripple Cancellation for High PSRR and Fast Transient Response
Yi Zhang, Zhuolong Chen, Zhenghao Xu, Yujin He
https://arxiv.org/abs/2507.20522

A Wide-Input 0.25 um BCD LDO with Dual-Stage Amplifier and Active Ripple Cancellation for High PSRR and Fast Transient Response
Demand for on-chip low-dropout regulators (LDOs) with both high power-supply rejection ratio (PSRR) and fast transient response is growing as system-on-chip (SoC) integration increases. However, conventional LDO architectures face difficulty achieving these performance metrics simultaneously over wide input voltage ranges. This paper presents a wide-input linear regulator implemented in 0.25 um BCD technology that attains high PSRR and swift load-transient performance while maintaining low quie…

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications
Ahmed Aman Ibrahim, Hamad Mansour Alawar, Abdulnasser Abbas Zehi, Ahmed Mohammad Alkendi, Bilal Shafi Ashfaq Ahmed Mirza, Shan Ullah, Ismail Lujain Jaleel, Hassan Ugail
https://arxiv.org/abs/2507.15961

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications
Face image quality plays a critical role in determining the accuracy and reliability of face verification systems, particularly in real-time screening applications such as surveillance, identity verification, and access control. Low-quality face images, often caused by factors such as motion blur, poor lighting conditions, occlusions, and extreme pose variations, significantly degrade the performance of face recognition models, leading to higher false rejection and false acceptance rates. In th…

Controlling the false discovery rate under a non-parametric graphical dependence model
Drew T. Nguyen, William Fithian
https://arxiv.org/abs/2506.24126 htt…

Controlling the false discovery rate under a non-parametric graphical dependence model
We propose sufficient conditions and computationally efficient procedures for false discovery rate control in multiple testing when the $p$-values are related by a known \emph{dependency graph} -- meaning that we assume independence of $p$-values that are not within each other's neighborhoods, but otherwise leave the dependence unspecified. Our methods' rejection sets coincide with that of the Benjamini--Hochberg (BH) procedure whenever there are no edges between BH rejections, and we find in s…

#Harvard challenging #DJT edicts against allowing enrollment of non US #citizens in high courts, as top #students accepted to

Harvard foreign students in limbo as college challenges Trump’s ban
Harvard University is challenging President Donald Trump’s move to block foreign students from coming to the United States to attend the Ivy League school, calling it illegal retaliation for Harvard’s rejection of White House demands. In an amended complaint filed Thursday, Harvard called the president’s action an end-run around a previous court order. Last month, a federal judge blocked the Department of Homeland Security from revoking Harvard’s ability to host foreign students. The fi…

Background Measurements and Simulations of the ComPair Balloon Flight
Zachary Metzler, Nicholas Kirschner, Lucas Smith, Nicholas Cannady, Makoto Sasaki, Daniel Shy, Regina Caputo, Carolyn Kierans, Aleksey Bolotnikov, Thomas J. Caligiure, Gabriella A. Carini, A. Wilder Crosier, Jack Fried, Priyarshini Ghosh, Sean Griffin, J. Eric Grove, Elizabeth Hays, Sven Herrmann, Emily Kong, Iker Liceaga-Indart, Julie McEnery, John Mitchell, A. A. Moiseev, Lucas Parker, Jeremy Perkins, Bernard Phlip…

Background Measurements and Simulations of the ComPair Balloon Flight
ComPair, a prototype of the All-sky Medium Energy Gamma-ray Observatory (AMEGO), completed a short-duration high-altitude balloon campaign on August 27, 2023 from Fort Sumner, New Mexico, USA. The goal of the balloon flight was the demonstration of ComPair as both a Compton and Pair telescope in flight, rejection of the charged particle background, and measurement of the background $γ$-ray spectrum. This analysis compares measurements from the balloon flight with Monte Carlo simulations to ben…

The Thermal Cost of Harvesting the Solar Infrared Tail in Space-Based Photovoltaics
David E. Abraham, Linus Kim, Aaswath P. Raman
https://arxiv.org/abs/2506.16588

The Thermal Cost of Harvesting the Solar Infrared Tail in Space-Based Photovoltaics
Space applications require the highest performing photovoltaic devices. Typically these are multi-junction devices that are capable of converting a larger bandwidth of the solar spectrum. However, the conversion of longer wavelength photons in the solar infrared tail results in a disproportionate increase in generated heat per watt of electricity, and since devices have limited heat rejection in space, this excess heat raises the operating temperature, lowering the efficiency of the entire devi…