cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation
Creators: name: Taylor, Avigail
name: Macaulay, Valentine M
name: Maurya, Anand K
name: Miossec, Matthieu J
name: Buffa, Francesca M
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: Summary: GeneFEAST, implemented in Python, is a gene-centric functional enrichment analysis summarisation and visualisation tool that can be applied to large functional enrichment analysis (FEA) results arising from upstream FEA pipelines. It produces a systematic, navigable HTML report, making it easy to identify sets of genes putatively driving multiple enrichments and to explore gene-level quantitative data first used to identify input genes. Further, GeneFEAST can compare FEA results from multiple studies, making it possible, for example, to highlight patterns of gene expression amongst genes commonly differentially expressed in two sets of conditions, and giving rise to shared enrichments under those conditions. GeneFEAST offers a novel, effective way to address the complexities of linking up many overlapping FEA results to their underlying genes and data, advancing gene-centric hypotheses, and providing pivotal information for downstream validation experiments.
 Availability: GeneFEAST is available at https://github.com/avigailtaylor/GeneFEAST
 Contact: avigail.taylor@well.ox.ac.uk
description: This article has been accepted for publication in Bioinformatics Published by Oxford University Press. This version has been peer-reviewed, is the Version of Record, and replaces the previous version deposited here. Main text: 5 pages, 2 figures. Supplementary information is available at Bioinformatics online
DIABETIC PATIENTS AND INFECTION RISKS IN SUB-SAHARAN AFRICA: EVIDENCE FROM YAOUNDÉ CENTRAL HOSPITAL, CAMEROON
Creators: name: Jean-Baptiste, Emmanuel Nguemegne
name: Marie-Claire, Aissatou Mvogo
name: Samuel, N. Tchoumi
name: Aline, Sophie Ndong
Publisher: name: ZAP Journal
Year: 2024
Subjects: Diabetes, Infectious Diseases, Mortality, Sub-Saharan Africa, Cameroon

description: Diabetes mellitus, a global health crisis, contributes significantly to morbidity and premature mortality. While developed countries primarily face diabetes-related cardiovascular and renal complications, the situation in Africa is complicated by a high prevalence of infectious diseases, including tuberculosis, which exacerbates diabetes-related mortality. The global death rate attributable to diabetes is 11.3%, with Africa accounting for 6.8% of these deaths (IDF Diabetes Atlas, 2019). In the African context, diabetes often serves as a precursor to additional health challenges, amplifying its impact. Notably, in Cameroon, research has predominantly focused on mortality associated with acute metabolic complications, leaving a gap in understanding the combined burden of diabetes and infectious diseases. This study aims to address this gap by evaluating the burden of infection among diabetic patients in the sub-Saharan region, with a specific focus on Yaoundé Central Hospital in Cameroon. The findings highlight the intersection of diabetes and infectious diseases, providing insight into the complex health dynamics faced by diabetic patients in this region
Batch sojourn time in polling systems on a circle
Creators: name: Engels, Tim
name: Adan, Ivo
name: Boxma, Onno
name: Resing, Jacques
Publisher: name: arXiv
Year: 2023
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: In this paper, we analyze a polling system on a circle. Random batches of customers arrive at a circle, where each customer, independently, obtains a uniform location. A single server cyclically travels over the circle to serve all customers. Using mean value analysis, we derive the expected number of waiting customers within a given distance of the server and a closed form expression for the mean batch sojourn time.
การพัฒนาทรัพยากรมนุษย์ขององค์การบริหารส่วนจังหวัดปทุมธานี
Creators: name: อาจยุทธ เนติธนากูล
Publisher: name: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย
Year: 2024
Subjects: การพัฒนาทรัพยากรมนุษย์
องค์การบริหารส่วนจังหวัดปทุมธานี
บุคลากร

description: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย, 13, 1, 195–202
Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitation
Creators: name: Darwesh, Liza
name: Singh, Jaspreet
name: Marian, Marin
name: Alexa, Eduard
name: Hindriks, Koen
name: Baraka, Kim
Publisher: name: arXiv
Year: 2025
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Computation and Language (cs.CL)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences
subject: I.2.9, I.2.7, H.5.2

description: This study investigates the elicitation of empathy toward a third party through interaction with social agents. Participants engaged with either a physical robot or a voice-enabled chatbot, both driven by a large language model (LLM) programmed to exhibit either an empathetic tone or remain neutral. The interaction is focused on a fictional character, Katie Banks, who is in a challenging situation and in need of financial donations. The willingness to help Katie, measured by the number of hours participants were willing to volunteer, along with their perceptions of the agent, were assessed for 60 participants. Results indicate that neither robotic embodiment nor empathetic tone significantly influenced participants' willingness to volunteer. While the LLM effectively simulated human empathy, fostering genuine empathetic responses in participants proved challenging.
description: *Liza Darwesh, Jaspreet Singh, Marin Marian, and Eduard Alexa contributed equally to this work.*
HPV RELATED CERVICAL CANCER: ADVANCES  IN SCREENING DIAGNOSIS MANAGEMENT.A  SYSTEMATIC REVIEW
Creators: name: Zareena Ali
Publisher: name: Zenodo
Year: 2024

description: Cervical cancer, primarily driven by persistent infection with high-risk human papillomavirus (HPV) types, remains a significant global health challenge despite advances in prevention, screening, and treatment. This systematic review discusses recent advancements in the screening, diagnosis, and management of HPV-related cervical cancer aimed at reducing incidence and improving patient outcomes. We analyze improvements in screening methodologies, including the integration of HPV DNA testing and co-testing with Pap smears, which enhance early detection rates. Emerging technologies such as self-collection methods and point-of-care testing are also examined for their potential to increase accessibility and patient compliance. Furthermore, we explore novel diagnostic approaches, including liquid biopsy and advanced imaging techniques, that contribute to improved cancer detection and characterization. Recent therapeutic strategies, including vaccination programs and targeted treatments, have shown promise in not only preventing HPV infection but also in addressing pre-invasive and invasive cervical lesions. This review consolidates the latest research findings and guidelines to give a comprehensive overview of current practices and future directions in the management of HPV-related cervical cancer, emphasizing the importance of multidisciplinary approaches for effective patient care and health system improvement. The implications of these advancements for public health policy and resource allocation are also discussed, highlighting the need for global collaboration to effectively combat this preventable disease.
Planning eco-sensitive zones for promoting tree diversity and ecosystem services in urban academic landscapes: a case study from the North-western Indo-Gangetic plain
Creators: name: Sharma, Anita
name: Chauhan, Astha
name: Parkar, Vidit
name: Raghuram, Adarsh
name: Sinha, Baerbel
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Plant Biology

description: Urban academic greenspaces provide a protective environment for the conservation of plants and animals and ecological health benefits to human beings. Several anthropogenic activities and landscape practices lead to patches of natural and built-up areas; therefore, a better understanding of campus tree diversity and ecosystem services among natural and built-up areas may help in biodiversity management. Considering this, we assessed how landscape heterogenicity (i.e. the proportion of natural and built-up/paved surface area) and planning principles influence tree density and diversity patterns in three zones (buffer zone: natural/remnant woodland; transition zone: mixed open grassland and woody plantation; core zone: paved/built-up, grassland, and scattered woody plantation) in the Indian Institute of Science Education and Research (IISER) Mohali campus (Punjab) India. We found a total of 1,993 trees belonging to sixty-eight species, mostly native flora. We found that landscape planning principles significantly influenced tree diversity patterns, with the highest tree diversity in the B3 buffer zone (H: 2.9, PIE: 0.9), which integrated elements of the original landscape and new plantations to optimise ecological value and the lowest diversity in the B2 buffer zone (i.e. H: 0.4; PIE: 0.2) with a monoculture plantation of exotic agroforestry species. We also observed that tree density was negatively influenced by impervious surface area (r = -0.68, p < 0.05) in the core zones and by the plantation of exotic species in the natural areas. The campus diversity supports birds of different feeding guilds (insectivore: 41%, omnivore: 25%, carnivore: 25%, frugivore/nectarivore: 13%, graminivore: 4%, and piscivore: 2%). Additionally, academic buildings planned with high canopy cover and density (45% and 95 ha−1) had reduced the wall temperatures of academic buildings from 12°C to 6°C compared to neighbouring buildings without tree cover. This highlighted the importance of maintaining tree diversity in urban academic institutions to promote urban sustainability.
DELTA: project poster
Creators: name: ITI
Publisher: name: Zenodo
Year: 2021
Subjects: DELTA
2021
blockchain
DLT
accountability
tokens
marketplace

description: DELTA is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER). 

DELTA project is aimed at bringing companies closer to the use of different disruptive technologies such as Blockchain / Distributed Ledger Technologies (DLT). To achieve its goal, DELTA will provide: A software tool for automating the deployment of DLT networks, regardless  of  the  number  of  required nodes,  or  the  process  of  joining  an existing network. A modular mechanism that allows the synchronization of DLTs with databases. The goal of this mechanism is to ease and improve the way data is retrieved from a DLT ledger. An accountability tool for shared environments for the exchange of services that brings in some of the most important characteristics of blockchain/DLTs: facilitating auditing and accountability by each participant, use of tokens, etc.

This document corresponds to a poster of the project as one of the dissemination activities.
description: DELTA. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for the development of non-economic R&D projects carried out in cooperation with companies during 2021 with 237.682,21€. File number: IMDEEA/2020/73
ความรู้ความเข้าใจเกี่ยวกับพระราชบัญญัติให้ใช้ประมวลกฎหมายยาเสพติด พ.ศ.2564 ของบุคลากรสังกัดสำนักงานคณะกรรมการป้องกันและปราบปรามยาเสพติด กรุงเทพมหานคร
Creators: name: สุทธินัย หยกอุบล
Publisher: name: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย
Year: 2024
Subjects: ความรู้ความเข้าใจ
ประมวลกฎหมายยาเสพติด
สำนักงานคณะกรรมการป้องกันและปราบปรามยาเสพติด

description: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย, 13, 2, 1–11
Timeliness criticality in complex systems
Creators: name: Moran, José
name: Romeijnders, Matthijs
name: Doussal, Pierre Le
name: Pijpers, Frank P.
name: Weitzel, Utz
name: Panja, Debabrata
name: Bouchaud, Jean-Philippe
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: In complex systems, external parameters often determine the phase in which the system operates, i.e., its macroscopic behavior. For nearly a century, statistical physics has extensively studied systems' transitions across phases, (universal) critical exponents, and related dynamical properties. Here we consider the functionality of systems, notably operations in socio-technical ones, production in economic ones and, more generally, any schedule-based system, where timing is of crucial importance. We introduce a stylized model of delay propagation on temporal networks, where the magnitude of delay-mitigating buffer acts as a control parameter. The model exhibits {\it timeliness criticality}, a novel form of critical behavior. We characterize fluctuations near criticality, commonly referred to as ``avalanches'', and identify the corresponding critical exponents. The model exhibits timeliness criticality also when run on real-world temporal systems such as production networks. Additionally, we explore potential connections with the Mode-Coupling Theory of glasses, the depinning transition and the directed polymer problem.
description: 12 pages of main paper, 12 figures, 9 pages of supplementary information
แนวทางการส่งเสริมและสนับสนุนให้ผู้ประกอบการชำระภาษี ผ่านระบบอิเล็กทรอนิกส์
Creators: name: ดวงกมล ดุจดารา
Publisher: name: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย
Year: 2024
Subjects: การส่งเสริมและสนับสนุน
การยื่นชำระภาษีผ่านระบบอิเล็กทรอนิกส์
ผู้ประกอบการ

description: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย, 13, 2, 12–20
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Creators: name: Jiang, Wei
name: Yang, Jiayu
name: Zhai, Yongqi
name: Gao, Feng
name: Wang, Ronggang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The latent representation in learned image compression encompasses channel-wise, local spatial, and global spatial correlations, which are essential for the entropy model to capture for conditional entropy minimization. Efficiently capturing these contexts within a single entropy model, especially in high-resolution image coding, presents a challenge due to the computational complexity of existing global context modules. To address this challenge, we propose the Linear Complexity Multi-Reference Entropy Model (MEM$^{++}$). Specifically, the latent representation is partitioned into multiple slices. For channel-wise contexts, previously compressed slices serve as the context for compressing a particular slice. For local contexts, we introduce a shifted-window-based checkerboard attention module. This module ensures linear complexity without sacrificing performance. For global contexts, we propose a linear complexity attention mechanism. It captures global correlations by decomposing the softmax operation, enabling the implicit computation of attention maps from previously decoded slices. Using MEM$^{++}$ as the entropy model, we develop the image compression method MLIC$^{++}$. Extensive experimental results demonstrate that MLIC$^{++}$ achieves state-of-the-art performance, reducing BD-rate by $13.39\%$ on the Kodak dataset compared to VTM-17.0 in Peak Signal-to-Noise Ratio (PSNR). Furthermore, MLIC$^{++}$ exhibits linear computational complexity and memory consumption with resolution, making it highly suitable for high-resolution image coding. Code and pre-trained models are available at https://github.com/JiangWeibeta/MLIC. Training dataset is available at https://huggingface.co/datasets/Whiteboat/MLIC-Train-100K.
description: Accepted to ICML 2023 Neural Compression Workshop and ACM Transactions on Multimedia Computing, Communications, and Applications 2025
Convergence of variational Monte Carlo simulation and scale-invariant pre-training
Creators: name: Abrahamsen, Nilin
name: Ding, Zhiyan
name: Goldshlager, Gil
name: Lin, Lin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We provide theoretical convergence bounds for the variational Monte Carlo (VMC) method as applied to optimize neural network wave functions for the electronic structure problem. We study both the energy minimization phase and the supervised pre-training phase that is commonly used prior to energy minimization. For the energy minimization phase, the standard algorithm is scale-invariant by design, and we provide a proof of convergence for this algorithm without modifications. The pre-training stage typically does not feature such scale-invariance. We propose using a scale-invariant loss for the pretraining phase and demonstrate empirically that it leads to faster pre-training.
description: Update to JCP version
PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling
Creators: name: Seo, Seonghwan
name: Kim, Woo Youn
Publisher: name: arXiv
Year: 2023
Subjects: subject: Biomolecules (q-bio.BM)
subject: Machine Learning (cs.LG)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: As the size of accessible compound libraries expands to over 10 billion, the need for more efficient structure-based virtual screening methods is emerging. Different pre-screening methods have been developed for rapid screening, but there is still a lack of structure-based methods applicable to various proteins that perform protein-ligand binding conformation prediction and scoring in an extremely short time. Here, we describe for the first time a deep-learning framework for structure-based pharmacophore modeling to address this challenge. We frame pharmacophore modeling as an instance segmentation problem to determine each protein hotspot and the location of corresponding pharmacophores, and protein-ligand binding pose prediction as a graph-matching problem. PharmacoNet is significantly faster than state-of-the-art structure-based approaches, yet reasonably accurate with a simple scoring function. Furthermore, we show the promising result that PharmacoNet effectively retains hit candidates even under the high pre-screening filtration rates. Overall, our study uncovers the hitherto untapped potential of a pharmacophore modeling approach in deep learning-based drug discovery.
description: 21 pages, 5 figures
Prevalence of reducing carbohydrate intake and fasted training in elite endurance athletes and association with bone injury
Creators: name: Raleigh, Conor
name: Madigan, Sharon
name: Sinnott‐O’Connor, Ciara
name: Sale, Craig
name: Norton, Catherine
name: CARSON, BRIAN
Publisher: name: University of Limerick
Year: 2024
Subjects: classificationCode: 4207
subject: Sports science and exercise

description: There are conflicting reports both within the lay media and scientific literature regarding the use and benefit of dietary practices that aim to reduce CHO intake in endurance athletes. This study aimed to determine the prevalence of intentional reduction of CHO intake and fasted training in elite endurance‐based athletes using a semi‐quantitative questionnaire. Bone is a nutritionally modulated tissue; therefore, this study also aimed to explore if these dietary practices are potentially associated with bone injury incidence. The reported reduction of CHO intake was prevalent (28%) with the primary motivation being maintenance or manipulation of body composition. However, discrepancies in athletes' awareness of CHO intake were identified providing a potential avenue of intervention especially within applied practice. The use of fasted training was more prevalent (38%) with athletes using this practice for both body composition manipulation and promoting a desired adaptive response. Forty‐four per cent of participants had suffered a radiographically confirmed bone injury at some point in their career. There was no association between reduction in CHO intake and bone injury incidence; however, the incidence of bone injury was 1.61 times higher in those who currently use fasted training compared to those who have never used it or who have used it in the past. Although a direct causal link between these dietary practices and the incidence of bone injury cannot be drawn, it provides robust justification for future investigations of the potential mechanisms that could explain this finding.
ปัจจัยที่เกี่ยวข้องกับคุณลักษณะการเป็นผู้ประกอบการของนักศึกษา ปริญญาตรี สาขาบริหารธุรกิจ ในกรุงเทพมหานคร
Creators: name: ชาญชัย บัญชาพัฒนศักดา
Publisher: name: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย
Year: 2024
Subjects: คุณลักษณะการเป็นผู้ประกอบการ
นักศึกษาปริญญาตรี
บริหารธุรกิจ

description: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย, 13, 2, 21–31
ปัจจัยที่ส่งผลต่อสมรรถภาพการวิจัยของอาจารย์ในสถาบันการศึกษา ของกองทัพ: การวิเคราะห์โมเดลสมการโครงสร้าง
Creators: name: ศมานันทน์ รัตนศิริวิไล
Publisher: name: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย
Year: 2024
Subjects: สมรรถภาพการวิจัย
อาจารย์
สถาบันการศึกษาของกองทัพ
คุณลักษณะของหน่วยงาน
ความเป็นนักวิจัย

description: สหวิทยาการและความยั่งยืนปริทรรศน์ไทย, 13, 2, 32–45
title: Time, hope, and independence: an argument for more structure in decision theory
Creators: name: Faria, Goreti
Publisher: name: London School of Economics and Political Science (LSE)
Year: 2016
Subjects: subject: B Philosophy. Psychology. Religion
subject: BD Speculative Philosophy

description: My thesis explores alternatives to the orthodox model of decision theory. I criticise it by focusing on motivations that, for different reasons, I believe should not be labelled as a consequence. I start by describing what I call the orthodox theory of choice. I describe both the theories proposed by Von Neumann and Morgenstern (1944), and Savage (1954). This is followed by a discussion of the individuation strategy, and, in particular, John Broome’s proposal of an individuation by justifiers (Broome (1991)). I then focus on the Allais’s problem, and on how individuation can be employed to solve the problematic situation in which it puts orthodox decision theory. I argue against the practice of using this strategy as a general solution to cases such as the Allais’s problem. I then extend the concerns raised by the Allais’s problem to motivations that do not concern probabilities. I focus on dynamic decision making, and on a property of certain actions that arises from the passage of time: hope. This is interesting because it is no longer the probabilities that affect the decision maker, but an element that is not even represented in the standard model, namely time. I then describe the Kreps and Porteus’s model (Kreps and Porteus (1978)) for a preference for the timing of the resolution of uncertainty, where a preference for either early or late resolution of uncertainty is modelled explicitly. I show how making time an explicit part of the model allows one to model utility as depending on something other than consequences, while not violating dynamic consistency. I use the above case to claim that in some contexts - for example, if the decision maker is deciding for herself, and time is passing - it is preferable to model concerns that do not quite fit the label of a consequence explicitly, because the benefits of doing so surpass the costs. This seems to indicate that decision theory should be moving towards a pluralist approach, where different models are used depending on the decision context.
The genetic diversity of the Asian Elephant, Elephas maximus, across its distribution
Creators: name: Budd, Kris
name: Eggert, Lori S.
Publisher: name: F1000Research
Year: 2017

description: The Asian elephant (Elephas maximus) is an endangered species whose rapid decline can be attributed to habitat degradation and fragmentation. While the largest populations of Asian elephant are found throughout India, smaller yet viable populations are found within Lao PDR, Cambodia, Vietnam, Thailand, Malaysia, Indonesia, and China. Indian populations are larger and therefore on average have been heavily monitored and studied. Here we describe the range wide diversity with nuclear and mitochondrial markers by utilizing an extensive library of published data from across the species distribution. In Asian elephants, nearly every study uses identical markers; making them able to be cross referenced quite effectively. Our aim was to identify areas of high genetic diversity in order to inform management of areas with high conservation need. Our results demonstrate the value of smaller populations in preserving the overall genetic integrity of the Asian elephant for future generations. They additionally suggest that while populations found in the Southeast Asian peninsula are on average smaller, they represent a wealth of genetic diversity often unseen in the larger populations of India. These comparatively high levels of genetic diversity raise questions of their own as to the recent evolution and compression of Asian elephants throughout their native range.
Cittadinanza nella Costituzione di Weimar. Costruiamo una città
Creators: name: Car, Ronald
Publisher: name: Zenodo
Year: 2018
Subjects: subject: Costituzione
subject: Repubblica Weimar
subject: cittadinanza
subject: diritti
subject: Contemporary history

description: Testo dell'intervento di Ronald Car al seminario: Cittadinanza e politica nell'età di Weimar (Pisa, 7 maggio 2018).
EVALUATING THE EFFECT OF HAART ON HBSAG SEROREACTIVITY IN HBV/HIV CO-INFECTED PATIENTS AT AYDER REFERRAL HOSPITAL
Creators: name: Hana, M. Gebremariam
Publisher: name: ZAP Journal
Year: 2024
Subjects: Hepatitis B Virus (HBV), Chronic Infection, Perinatal Transmission, Epidemiology,Transmission Mechanisms.

description: Hepatitis B virus (HBV) infection is a significant global health issue, with approximately 350 million people (5 to 7% of the world's population) chronically infected and 600,000 (0.2%) deaths annually due to HBV-related diseases and hepatocellular carcinoma. In East and Southeast Asia, perinatal transmission is the primary mode of HBV spread. In contrast, in Africa, most HBV transmission occurs before the age of five through close household contact, medical procedures, traditional scarification, and potentially other unidentified mechanisms. This study aims to explore the epidemiology of HBV transmission in different regions, with a focus on understanding the modes of transmission and identifying strategies to reduce infection rates and associated mortalities
Small-scale energetic phenomena in Hε: Ellerman bombs, UV bursts, and small flares
Creators: name: Krikova, K.
name: Pereira, T. M. D.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Aims. We investigated the potential of using Hepsilon to diagnose small-scale energetic phenomena such as Ellerman bombs, UV bursts, and small-scale flares. Our focus is to understand the formation of the line and how to use its properties to get insight into the dynamics of small-scale energetic phenomena. Methods. We carried out a forward modeling study, combining simulations and detailed radiative transfer calculations. The 3D radiative magnetohydrodynamic simulations were run with the Bifrost code and included energetic phenomena. We employed a Markovian framework to study the Hepsilon multilevel source function, used relative contribution functions to identify its formation regions, and correlated the properties of synthetic spectra with atmospheric parameters. Results. Ellerman bombs are predominantly optically thick in Hepsilon, appearing as well-defined structures. UV bursts and small flares are partially optically thin and give rise to diffuse structures. The Hepsilon line serves as a good velocity diagnostic for small-scale heating events in the lower chromosphere. However, its emission strength is a poor indicator of temperature, and its line width offers limited utility due to the interplay of various broadening mechanisms. Compared to Halpha, Hepsilon exhibits greater sensitivity to phenomena such as Ellerman bombs, as its line core experiences higher extinction than the Halpha wing. Conclusions. Hepsilon is a valuable tool for studying small-scale energetic phenomena in the lower chromosphere. It provides more reliable estimates of velocities than those extracted from wing emission in Halpha or Hbeta. Maps of Hepsilon emission show more abundant energetic events than the Halpha counterpart. Our findings highlight Hepsilons potential to advance our understanding of dynamic processes in the solar atmosphere.
Great Balls of FIRE III: Modeling Black Hole Mergers from Massive Star Clusters in Simulations of Galaxies
Creators: name: Bruel, Tristan
name: Rodriguez, Carl L.
name: Lamberts, Astrid
name: Grudic, Michael Y.
name: Hafen, Zachary
name: Feldmann, Robert
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: After the nearly hundred gravitational-wave detections reported by the LIGO-Virgo-KAGRA Collaboration, the question of the cosmological origin of merging binary black holes (BBHs) remains open. The two main formation channels generally considered are from isolated field binaries or via dynamical assembly in dense star clusters. Here, we focus on understanding the dynamical formation of merging BBHs within massive clusters in galaxies of different masses. To this end, we apply a new framework to consistently model the formation and evolution of massive star clusters in zoom-in cosmological simulations of galaxies. Each simulation, taken from the FIRE project, provides a realistic star formation environment with a unique star formation history and hosts realistic giant molecular clouds that constitute the birthplace of star clusters. Combined with the code for star cluster evolution CMC, we are able to produce populations of dynamically formed merging BBHs across cosmic time in different environments. As the most massive star clusters preferentially form in dense massive clouds of gas, we find that, despite their low metallicities favourable to the creation of black holes, low-mass galaxies contain few massive clusters and therefore have a limited contribution to the global production of dynamically formed merging BBHs. Furthermore, we find that massive clusters can host hierarchical BBH mergers with clear identifiable physical properties. Looking at the evolution of the BBH merger rate in different galaxies, we find strong correlations between BBH mergers and the most extreme episodes of star formation. Finally, we discuss the implications for future LIGO-Virgo-KAGRA gravitational wave observations.
description: 14 pages, 9 figures, 3 tables
Hecke operators on topological modular forms
Creators: name: Davies, Jack Morgan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Algebraic Topology (math.AT)
subject: Algebraic Geometry (math.AG)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11F23, 11F25, 14D23, 55N34, 55N22, 55P43, 55S25

description: The cohomology theory TMF of topological modular forms is a derived algebro-geometric interpretation of the classical ring of complex modular forms from number theory. In this article, we refine the classical Adams operations, Hecke operators, and Atkin--Lehner involutions from endomorphisms of classical modular forms to stable operators on TMF. Our algebro-geometric formulation of these operators leads to simple proofs of their many remarkable properties and computations. From these properties, we use techniques from homotopy theory to make simple number-theoretic deductions, including a rederivation of some classical congruences of Ramanujan and providing new infinite families of classical Hecke operators which satisfy Maeda's conjecture.
description: 60 pages, comments welcome, v2: updated version following referees suggestions
Residual Multi-Fidelity Neural Network Computing
Creators: name: Davis, Owen
name: Motamed, Mohammad
name: Tempone, Raul
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 65C30, 65C40, 68T07

description: In this work, we consider the general problem of constructing a neural network surrogate model using multi-fidelity information. Motivated by error-complexity estimates for ReLU neural networks, we formulate the correlation between an inexpensive low-fidelity model and an expensive high-fidelity model as a possibly non-linear residual function. This function defines a mapping between 1) the shared input space of the models along with the low-fidelity model output, and 2) the discrepancy between the outputs of the two models. The computational framework proceeds by training two neural networks to work in concert. The first network learns the residual function on a small set of high- and low-fidelity data. Once trained, this network is used to generate additional synthetic high-fidelity data, which is used in the training of the second network. The trained second network then acts as our surrogate for the high-fidelity quantity of interest. We present four numerical examples to demonstrate the power of the proposed framework, showing that significant savings in computational cost may be achieved when the output predictions are desired to be accurate within small tolerances.
A Study of Ethnographical and Topographical Aetiology of Acute Encephalitis Syndrome (AES) in Bihar.
Creators: name: Sharma, Dr. Krishna Kant
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 420305
subject: Health and community services
classificationCode: 420306
subject: Health care administration
classificationCode: 420310
subject: Health surveillance

description: In this paper, a non-epidemiological etiology of the encephalitis endemic was studied in the Muzaffarpur and Gaya districts of Bihar. There may be some common reasons for such endemics at both locations that may be related to ethnicity, parental traits, high-temperature variations, and individual and social characteristics. It was found that most children were dark-skinned and suffering from acute poverty. There was no proper availability of drinking water and sanitation. In addition, parental ignorance and stunting may also be responsible for high incidences. Children required special care during the peak of the summer. Sit would be costly to check such menace by vaccination because of many strains of the virus. The menace has a high mortality of almost 20-30 percent that may be controlled or prevented by changes in parental traits especially related to child care.
Possible transmission of leukocyte chemotactic factor 2 amyloidosis after interpopulational liver transplantation
Creators: name: Suzuki, Yuji
name: Tasaki, Masayoshi
name: Kakisaka, Keisuke
name: Nishiya, Masao
name: Nomura, Toshiya
name: Nakao, Mitsuki
name: Sugawara, Erika
name: Takikawa, Yasuhiro
name: Ueda, Mitsuharu
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Physical Sciences not elsewhere classified
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Hematology
subject: Computational Biology

description: Possible transmission of leukocyte chemotactic factor 2 amyloidosis after interpopulational liver transplantation
Dynamic Phase Transition in 2D Ising Systems: Effect of Anisotropy and Defects
Creators: name: Ettori, Federico
name: Coupé, Thibaud
name: Sluckin, Timothy J.
name: Puppin, Ezio
name: Biscari, Paolo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate the dynamic phase transition in two-dimensional Ising models whose equilibrium characteristics are influenced by either anisotropic interactions or quenched defects. The presence of anisotropy reduces the dynamical critical temperature, leading to the expected result that the critical temperature approaches zero in the full-anisotropy limit. We show that a comprehensive understanding of the dynamic behavior of systems with quenched defects requires a generalized definition of the dynamic order parameter. By doing so, we demonstrate that the inclusion of quenched defects lowers the dynamic critical temperature as well, with a linear trend across the range of defect fractions considered. We also explore if and how it is possible to predict the dynamic behavior of specific magnetic systems with quenched randomness. Various geometric quantities, such as a defect potential index, the defect dipole moment, and the properties of the defect Delaunay triangulation, prove useful for this purpose.
description: 15 pages, 11 figures
Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation
Creators: name: Ruiz, Trevor D.
name: Bhattacharyya, Sharmodeep
name: Emerson, Sarah C.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: The central problem we address in this work is estimation of the parameter support set S, the set of indices corresponding to nonzero parameters, in the context of a sparse parametric likelihood model for discrete multivariate time series. We develop an algorithm that performs the estimation by aggregating support sets obtained by applying the LASSO to data subsamples. Our approach is to identify several candidate models and estimate S by selecting common parameters, thus "aggregating" candidate models. While our method is broadly applicable to any selection problem, we focus on the generalized vector autoregressive (GVAR) model class, and particularly the Poisson case, emphasizing applications in network recovery from discrete multivariate time series. We propose benchmark methods based on the LASSO, develop simulation strategies for GVAR processes, and present empirical results demonstrating the superior performance of our method. Additionally, we present an application estimating ecological interaction networks from paleoclimatology data.
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces
Creators: name: Angiuli, Andrea
name: Fouque, Jean-Pierre
name: Hu, Ruimeng
name: Raydan, Alan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We present the development and analysis of a reinforcement learning (RL) algorithm designed to solve continuous-space mean field game (MFG) and mean field control (MFC) problems in a unified manner. The proposed approach pairs the actor-critic (AC) paradigm with a representation of the mean field distribution via a parameterized score function, which can be efficiently updated in an online fashion, and uses Langevin dynamics to obtain samples from the resulting distribution. The AC agent and the score function are updated iteratively to converge, either to the MFG equilibrium or the MFC optimum for a given mean field problem, depending on the choice of learning rates. A straightforward modification of the algorithm allows us to solve mixed mean field control games (MFCGs). The performance of our algorithm is evaluated using linear-quadratic benchmarks in the asymptotic infinite horizon framework.
description: Revisions made in accordance with reviewer's wishes. The revision primarily includes more results and plots from new simulations to show robustness of the method. 40 pages; 19 figures
sj-docx-1-dhj-10.1177_20552076231205286 - Supplemental material for An infodemiology study on exploring the quality and reliability of colorectal cancer immunotherapy information
Creators: name: Mohamed, Hind
name: O’Malley, Laura
name: Kelly, Dervla
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: Health and Community Services
subject: Cardiology
subject: Endocrinology
subject: Geriatrics and Gerontology
subject: Nursing not elsewhere classified
subject: Oncology and Carcinogenesis not elsewhere classified
subject: Aged Health Care
subject: Public Health and Health Services not elsewhere classified
subject: Engineering not elsewhere classified
subject: Anthropology
subject: FOS: Sociology
subject: Cultural Studies not elsewhere classified
subject: Information and Computing Sciences not elsewhere classified
subject: Organisation and Management Theory
subject: Science Policy
subject: Social Policy
subject: Sociology

description: Supplemental material, sj-docx-1-dhj-10.1177_20552076231205286 for An infodemiology study on exploring the quality and reliability of colorectal cancer immunotherapy information by Hind Mohamed, Laura O’Malley and Dervla Kelly in DIGITAL HEALTH
Anomalous Reflection From Hyperbolic Media
Creators: name: Deriy, Ilya
name: Lezhennikova, Kseniia
name: Glybovsky, Stanislav
name: Iorsh, Ivan
name: Yermakov, Oleh
name: Song, Mingzhao
name: Abdeddaim, Redha
name: Enoch, Stefan
name: Belov, Pavel
name: Bogdanov, Andrey
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: Despite the apparent simplicity, the problem of refraction of electromagnetic waves at the planar interface between two media has an incredibly rich spectrum of unusual phenomena. An example is the paradox that occurs when an electromagnetic wave is incident on the interface between a hyperbolic medium and an isotropic dielectric. At certain orientations of the optical axis of the hyperbolic medium relative to the interface, the reflected and transmitted waves are completely absent. In this paper, we formulate the aforementioned paradox and present its resolution by introduction of infinitesimal losses in a hyperbolic medium. We show that the reflected wave exists, but became extremely decaying as the loss parameter tends to zero. As a consequence, all the energy scattered into the reflected channel is absorbed at the interface. We support our reasoning with analytical calculations, numerical simulations, and an experiment with self-complementary metasurfaces in the microwave region. In addition to the great fundamental interest, this paradox resolution discovers a plethora of applications for the reflectors, refractors, absorbers, lenses, antennas, camouflage and holography applications.
description: 16 pages, 4 figures
Discovering Predictive Relational Object Symbols with Symbolic Attentive Layers
Creators: name: Ahmetoglu, Alper
name: Celik, Batuhan
name: Oztop, Erhan
name: Ugur, Emre
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this paper, we propose and realize a new deep learning architecture for discovering symbolic representations for objects and their relations based on the self-supervised continuous interaction of a manipulator robot with multiple objects on a tabletop environment. The key feature of the model is that it can handle a changing number number of objects naturally and map the object-object relations into symbolic domain explicitly. In the model, we employ a self-attention layer that computes discrete attention weights from object features, which are treated as relational symbols between objects. These relational symbols are then used to aggregate the learned object symbols and predict the effects of executed actions on each object. The result is a pipeline that allows the formation of object symbols and relational symbols from a dataset of object features, actions, and effects in an end-to-end manner. We compare the performance of our proposed architecture with state-of-the-art symbol discovery methods in a simulated tabletop environment where the robot needs to discover symbols related to the relative positions of objects to predict the observed effect successfully. Our experiments show that the proposed architecture performs better than other baselines in effect prediction while forming not only object symbols but also relational symbols. Furthermore, we analyze the learned symbols and relational patterns between objects to learn about how the model interprets the environment. Our analysis shows that the learned symbols relate to the relative positions of objects, object types, and their horizontal alignment on the table, which reflect the regularities in the environment.
description: arXiv admin note: text overlap with arXiv:2208.01021
Mutations, level of resistance and treatment outcomes of isoniazid-resistant tuberculosis in Brazil
Creators: name: Pinhata, Juliana Maira Watanabe
name: Lindoso, Ana Angelica Bulcao Portela
name: Goncalves, Maria Gisele
name: Lucilaine Ferrazoli
name: Oliveira, Rosangela Siqueira De
Publisher: name: F1000Research
Year: 2017

description: Mutations in katG and inhA, resistance levels and treatment outcomes of isoniazid-resistant TB patients from the state of São Paulo, Brazil, were described.
sj-docx-1-aut-10.1177_13623613231191594 – Supplemental material for Autistic adults’ experiences of financial wellbeing: Part II
Creators: name: Pellicano, Elizabeth
name: Hall, Gabrielle
name: Ying Cai, Ru
Publisher: name: SAGE Journals
Year: 2023
Subjects: Psychology not elsewhere classified
Psychiatry (incl. Psychotherapy)
Public Health and Health Services not elsewhere classified
Education
Special Education and Disability

description: Supplemental material, sj-docx-1-aut-10.1177_13623613231191594 for Autistic adults’ experiences of financial wellbeing: Part II by Elizabeth Pellicano, Gabrielle Hall and Ru Ying Cai in Autism