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A novel probabilistic approach for the design of mechanical structures with friction interfaces is proposed. The objective function is defined as the probability that a specified performance measure of the forced vibration response is…

Computational Engineering, Finance, and Science · Computer Science 2021-01-01 Malte Krack , Sebastian Tatzko , Lars Panning-von Scheidt , Jörg Wallaschek

Estimation of quantum states is one of the most important steps in any quantum information processing experiment. A naive reconstruction of the density matrix from experimental measurements can often give density matrices which are not…

Quantum Physics · Physics 2016-08-24 Harpreet Singh , Arvind , Kavita Dorai

We propose a function-valued evaluation metric for generative models based on the relative density ratio (RDR) designed to characterize distributional differences between real and generated samples. As an evaluation metric, the RDR function…

Methodology · Statistics 2025-12-29 Yuliang Xu , Yun Wei , Li Ma

The BioNLP Workshop 2023 initiated the launch of a shared task on Problem List Summarization (ProbSum) in January 2023. The aim of this shared task is to attract future research efforts in building NLP models for real-world diagnostic…

Computation and Language · Computer Science 2023-06-09 Yanjun Gao , Dmitriy Dligach , Timothy Miller , Matthew M. Churpek , Majid Afshar

We summarize the status of Deep Underground Neutrino Experiment (DUNE) Offline Software and Computing program. We describe plans for the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from…

Accelerator Physics · Physics 2023-12-19 Michael Kirby

The Proton EDM Experiment (pEDM) is the first direct search for the proton electric dipole moment (EDM) with the aim of being the first experiment to probe the Standard Model (SM) prediction of any particle EDM. Phase-I of pEDM will achieve…

High Energy Physics - Experiment · Physics 2025-04-24 Jim Alexander , Vassilis Anastassopoulos , Grigor Atoian , Rick Baartman , Stefan Baeßler , Franco Bedeschi , John Benante , Martin Berz , Michael Blaskiewicz , Themis Bowcock , Kevin Brown , Dmitry Budker , Sergey Burdin , Brendan C. Casey , Gianluigi Casse , Giovanni Cantatore , Timothy Chupp , Hooman Davoudiasl , Dmitri Denisov , Bhawin Dhital , Milind V. Diwan , Renee Fatemi , George Fanourakis , Wolfram Fischer , Peter Graham , Frederick Gray , Antonios Gardikiotis , Claudio Gatti , James Gooding , Boxing Gou , Selcuk Haciomeroglu , Georg H. Hoffstaetter , Haixin Huang , Marco Incagli , Hoyong Jeong , David Kaplan , Marin Karuza , David Kawall , Alexander Keshavarzi , On Kim , Younggeun Kim , Ivan Koop , Valeri Lebedev , Jonathan Lee , Soohyung Lee , Alberto Lusiani , William J. Marciano , Marios Maroudas , Andrei Matlashov , Francois Meot , James P. Miller , William M. Morse , James Mott , Zhanibek Omarov , Cenap Ozben , Giovanni Maria Piacentino , Matthew Poelker , Dinko Pocanic , Boris Podobedov , Joe Price , Xin Qian , Surjeet Rajendran , Deepak Raparia , Sergio Rescia , B. Lee Roberts , Yannis K. Semertzidis , Alexander Silenko , Amarjit Soni , Edward Stephenson , Riad Suleiman , Michael Syphers , Pia Thoerngren , Volodya Tishchenko , Nicholaos Tsoupas , Spyros Tzamarias , Alessandro Variola , Graziano Venanzoni , Eva Vilella , Joost Vossebeld , Peter Winter , Bogdan Wojtsekhowski , Eunil Won , Konstantin Zioutas

Differential expression (DE) analysis is a key task in RNA-seq studies, aiming to identify genes with expression differences across conditions. A central challenge is balancing false discovery rate (FDR) control with statistical power.…

Methodology · Statistics 2026-04-03 Chenxin Jiang , Changhu Wang , Jingyi Jessica Li

This document is the second in a series of reports on the exciting physics that would be accessible at Fermilab in the event of an upgraded proton source. Where the first report covered a broad range of topics, this report focuses…

High Energy Physics - Experiment · Physics 2007-05-23 G. Barenboim , A. de Gouvea , T. Dombeck , N. Grossman , D. Harris , D. Michael , M. Szleper , M. Velasco , S. Werkema

In this work, we address a foundational question in the theoretical analysis of the Deep Ritz Method (DRM) under the over-parameteriztion regime: Given a target precision level, how can one determine the appropriate number of training…

Numerical Analysis · Mathematics 2024-07-15 Yuling Jiao , Ruoxuan Li , Peiying Wu , Jerry Zhijian Yang , Pingwen Zhang

Quasi-experimental evaluations are central for generating real-world causal evidence and complementing insights from randomized trials. The regression discontinuity design (RDD) is a quasi-experimental design that can be used to estimate…

Machine Learning · Statistics 2026-04-07 Maximilian Schuessler , Erik Sverdrup , Robert Tibshirani , Stefan Wager

Exploratory testing is neither black nor white, but rather a continuum of exploration exists. In this research we propose an approach for decision support helping practitioners to distribute time between different degrees of exploratory…

Software Engineering · Computer Science 2017-04-05 Ahmad Nauman Ghazi , Kai Petersen , Claes Wohlin , Elizabeth Bjarnason

The materials engineering data base relevant to fusion irradiation is poorly populated and it has long been recognized that a fusion spectrum neutron source will be required, the facility IFMIF being the present proposal. Re- evaluation of…

Instrumentation and Detectors · Physics 2014-07-23 E. Surrey , M. Porton , T. Davenne , D. Findlay , A. Letchford , J. Thomason , S. G. Roberts , J. Marrow , A. Seryi , B. Connolly , H. Owen

Reward modeling is essential for aligning Large Language Models(LLMs) with human preferences, yet conventional reward models suffer from poor interpretability and heavy reliance on costly expert annotations. While recent rubric-based…

Artificial Intelligence · Computer Science 2026-03-10 Dengcan Liu , Fengkai Yang , Xiaohan Wang , Shurui Yan , Jiajun Chai , Jiahao Li , Yikun Ban , Zhendong Mao , Wei Lin , Guojun Yin

Fast and accurate protein structure prediction is one of the major challenges in structural biology, biotechnology and molecular biomedicine. These fields require 3D protein structures for rational design of proteins with improved or novel…

Data Analysis, Statistics and Probability · Physics 2013-11-14 Lars A. Bratholm

The US Food and Drug Administration launched Project Optimus with the aim of shifting the paradigm of dose-finding and selection towards identifying the optimal biological dose that offers the best balance between benefit and risk, rather…

Methodology · Statistics 2023-09-13 Ying Yuan , Heng Zhou , Suyu Liu

Machine-learning models have demonstrated great success in learning complex patterns that enable them to make predictions about unobserved data. In addition to using models for prediction, the ability to interpret what a model has learned…

Machine Learning · Statistics 2019-11-15 W. James Murdoch , Chandan Singh , Karl Kumbier , Reza Abbasi-Asl , Bin Yu

Intrinsically disordered regions (IDRs) play central roles in cellular function, yet remain poorly evaluated by existing protein structure prediction benchmarks. Current evaluations largely focus on well-folded domains, overlooking three…

Biomolecules · Quantitative Biology 2026-02-11 Xinyue Zeng , Tuo Wang , Adithya Kulkarni , Alexander Lu , Alexandra Ni , Phoebe Xing , Junhan Zhao , Siwei Chen , Dawei Zhou

We present the design of a next-generation experiment, n2EDM, currently under construction at the ultracold neutron source at the Paul Scherrer Institute (PSI) with the aim of carrying out a high-precision search for an electric dipole…

Motivation: In microarray analysis, special consideration must be given to the issues of multiple statistical tests and typically p-values are adjusted to control family-wise error rate (FWER) or false discovery rate (FDR). FDR metrics have…

Quantitative Methods · Quantitative Biology 2007-05-23 Rishi L. Khan , Rajanikanth Vadigepalli , Guang Gao , James S. Schwaber

DUNE is a new international experiment for neutrino physics and nucleon decay searches. It will consist of two detectors, about 1300 km apart, exposed to a multi-megawatt neutrino beam that will be built at Fermilab. One of the two…

Instrumentation and Detectors · Physics 2019-08-13 J. Martin-Albo
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