cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
New transform formulae for differential transformation methodwith applications to the nonlinear plane autonomous systems
Creators: name: Uraiwan Somboon
name: Jaipong Kasemsuwan
name: Sabau, Sorin V.
Publisher: name: Research and Development Office, Prince of Songkla University
Year: 2020
Subjects: differential transform method
nonlinear plane autonomous systems
multistep differential transform method
phase- plane method

description: Songklanakarin Journal of Science and Technology, 42, 1, 81-94
Additional file 1 of Hyperoxemia and excess oxygen use in early acute respiratory distress syndrome: insights from the LUNG SAFE study
Creators: name: Madotto, Fabiana
name: Rezoagli, Emanuele
name: Pham, Tài
name: Schmidt, Marcello
name: McNicholas, Bairbre
name: Protti, Alessandro
name: Panwar, Rakshit
name: Bellani, Giacomo
name: Fan, Eddy
name: van Haren, Frank
name: Brochard, Laurent
name: Laffey, John G.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Environmental Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health
subject: Hematology
subject: Virology

description: Additional file 1. Online Methodology and eTables. Expanded Methods and Materials. eTable 1: Comorbidities and risk factors in study population (n = 2005), stratified by arterial oxygenation on day 1. eTable 2. Characteristics of patients with sustained normoxemia and sustained hyperoxemia. eTable 3: Characteristics at ARDS onset and clinical outcomes in matched sample (n = 354) of patients with sustained normoxemia and with sustained hyperoxemia. eTable 4. Characteristics at ARDS onset and clinical outcomes in matched sample (n = 646) of patients with normoxemia and with excess oxygen use at day 1.
title: Lettre de Jacques Leibowitch au Docteur Yves Rivière
Creators: name: Leibowitch, Jacques
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Source: http://www.calames.abes.fr/pub/ms/Calames-20193111134750510
Additional file 2 of Transcriptome analysis of the response provided by Lasiopodomys mandarinus to severe hypoxia includes enhancing DNA repair and damage prevention
Creators: name: Dong, Qianqian
name: Wang, Zishi
name: Jiang, Mengwan
name: Sun, Hong
name: Wang, Xuqin
name: Li, Yangwei
name: Zhang, Yifeng
name: Cheng, Han
name: Chai, Yurong
name: Shao, Tian
name: Shi, Luye
name: Wang, Zhenlong
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2: Figure S1. Classification of annotated transcriptome in the Eukaryotic Orthologous Group (KOG). A to Z represent the specific entry information of the KOG annotated by unigenes.
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
Creators: name: Du, Yuntao
name: Zhu, Xinjun
name: Chen, Lu
name: Fang, Ziquan
name: Gao, Yunjun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: A knowledge graph (KG) consists of a set of interconnected typed entities and their attributes. Recently, KGs are popularly used as the auxiliary information to enable more accurate, explainable, and diverse user preference recommendations. Specifically, existing KG-based recommendation methods target modeling high-order relations/dependencies from long connectivity user-item interactions hidden in KG. However, most of them ignore the cold-start problems (i.e., user cold-start and item cold-start) of recommendation analytics, which restricts their performance in scenarios when involving new users or new items. Inspired by the success of meta-learning on scarce training samples, we propose a novel meta-learning based framework called MetaKG, which encompasses a collaborative-aware meta learner and a knowledge-aware meta learner, to capture meta users' preference and entities' knowledge for cold-start recommendations. The collaborative-aware meta learner aims to locally aggregate user preferences for each user preference learning task. In contrast, the knowledge-aware meta learner is to globally generalize knowledge representation across different user preference learning tasks. Guided by two meta learners, MetaKG can effectively capture the high-order collaborative relations and semantic representations, which could be easily adapted to cold-start scenarios. Besides, we devise a novel adaptive task scheduler which can adaptively select the informative tasks for meta learning in order to prevent the model from being corrupted by noisy tasks. Extensive experiments on various cold-start scenarios using three real data sets demonstrate that our presented MetaKG outperforms all the existing state-of-the-art competitors in terms of effectiveness, efficiency, and scalability.
description: Accepted to TKDE2022
Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited
Creators: name: Angrist, Joshua D.
name: Òscar Jordà
name: Kuersteiner, Guido M.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 111714 Mental Health
subject: FOS: Health sciences

description: We develop flexible semiparametric time series methods for the estimation of the causal effect of monetary policy on macroeconomic aggregates. Our estimator captures the average causal response to discrete policy interventions in a macrodynamic setting, without the need for assumptions about the process generating macroeconomic outcomes. The proposed estimation strategy, based on propensity score weighting, easily accommodates asymmetric and nonlinear responses. Using this estimator, we show that monetary tightening has clear effects on the yield curve and on economic activity. Monetary accommodation, however, appears to generate less pronounced responses from both. Estimates for recent financial crisis years display a similarly dampened response to monetary accommodation.
A Design for the HET Receiver on FIRST
Creators: name: Belitsky, V. Yu.
name: Torchinsky, S.A.
Publisher: name: Zenodo
Year: 1996
Subjects: millimetre wave
astronomy
quasioptics
instrumentation

description: We present a design for the HET Instrument on FIRST which has a minimum of optical components, and is very compact. The small number of optical components, especially in the signal path, keeps the receiver simplified without compromising its scientific capabilities. This document describes a revised version of the design described in the fax of 21 February which was distributed to the FIRST Payload Working Group. In particular, improvements have been made to the design of the mirrors M4 and M6.
description: Proposal submitted 6 March 1996 for the optics design of the Heterodyne Instrument (later named HIFI) for the Far Infrared Space Telescope (later renamed Herschel).
description: {"references": ["J. Zmuidzinas, H. G. LeDuc, J. A. Stern, and S. R. Cypher, \"Two-Junction Tuning Circuits for Submillimeter SIS Mixers,\" IEEE Trans. On MTT, vol. 42, pp. 698-706, 1994.", "J. E. Cohen, N. Erickson, M. Frerking (ed.) P. Goldsmith, A. Harris, C. Lawrence,M.J. Mahoney, T. Phillips, J. Zmuidzinas, \"The Heterodyne Instrument Concept for FIRST\"", "J. P. Encrenaz, M. Griffin, J.-M. Lamarre, D. Lemke, A. Poglitsch, H. van de Stadt,N. Whyborn, G. Pilbratt, \"Payload Definition Document\""]}
Dissipative time crystal in an atom-cavity system: Influence of trap and competing interactions
Creators: name: Tuquero, Richelle Jade L.
name: Skulte, Jim
name: Mathey, Ludwig
name: Cosme, Jayson G.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: While the recently realized dissipative time crystal in a laser-pumped atom-cavity system in the experiment of Keßler et al. [Phys. Rev. Lett. 127, 043602 (2021)] is qualitatively consistent with a theoretical description in an idealized limit, here, we investigate the stability of this dissipative time crystal in the presence of an inhomogeneous potential provided by a harmonic trap, and competing short- and infinite-range interactions. We note that these features are ubiquitous in any realization of atom-cavity systems. By mapping out the dynamical phase diagram and studying how it is modified by the harmonic trap and short-range interactions, we demonstrate the persistence of long-lived dissipative time crystals beyond the idealized limit. We show the emergence of metastable dissipative time crystals with and without prethermalization plateaus for tight harmonic confinement and strong contact interaction, respectively.
description: 10 pages, 9 figures
PetroFit: A Python Package for Computing Petrosian Radii and Fitting Galaxy Light Profiles
Creators: name: Geda, Robel
name: Crawford, Steven
name: Hunt, Lucas R.
name: Bershady, Matthew A.
name: Tollerud, Erik J.
name: Randriamampandry, Solohery M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: PetroFit is an open-source Python package, based on Astropy and Photutils, that can calculate Petrosian profiles and fit galaxy images. It offers end-to-end tools for making accurate photometric measurements, estimating morphological properties, and fitting 2D models to galaxy images. Petrosian metric radii can be used for model parameter estimation and aperture photometry to provide accurate total fluxes. Correction tools are provided for improving Petrosian radii estimates affected by galaxy morphology. PetroFit also provides tools for sampling Astropy-based models (including custom profiles and multi-component models) onto image grids and enables PSF convolution to account for the effects of seeing. These capabilities provide a robust means of modeling and fitting galaxy light profiles. We have made the PetroFit package publicly available on GitHub (PetroFit/petrofit) and PyPi (pip install petrofit).
description: Published AJ, 28 pages, 17 figures, see https://github.com/PetroFit/petrofit; typos corrected, footnote on PSFModel class, paper status update, DOI provided
title: Carte géologique et hydrologique des Abda - Doukkala
title: Carte géologique et hydrologique des Abda - Doukkala
Creators: name: :Unkn
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2023
Subjects: subject: Géologie
subject: Hydrologie

description: Cartographie
description: BESM-carto_1954-63-p361_63-01
description: 361
description: 63
description: Bulletin économique et social du Maroc
description: Source: Maison méditerranéenne des sciences de l'homme, Cité numérique de la Méditerranée (Cinumed), Bibliothèque nationale du Royaume du Maroc (BNRM)
description: Source: Bulletin économique et social du Maroc
description: Source: Bulletin économique et social du Maroc (BESM) > BESM (Cartographie)
description: Relation: https://cinumed.mmsh.univ-aix.fr/idurl/1/81690
description: Coverage: Maroc
description: Coverage: Doukkala
description: Coverage: Abda
description: Coverage: XXe siècle
description: Temporal: XXe siècle
description: Bibliographic citation: « Carte géologique et hydrologique des Abda - Doukkala », In Bulletin économique et social du Maroc (BESM), n° 63, 1954
description: Provenance: Maison méditerranéenne des sciences de l'homme, Cité numérique de la Méditerranée (Cinumed), Bibliothèque nationale du Royaume du Maroc (BNRM)
description: Provenance: https://cinumed.mmsh.univ-aix.fr/
Report on Regional Farm Labor Conferences, 1947
Creators: name: Extension Service
name: Labor Branch, Production Marketing Administration
Publisher: name: Unknown
Year: 1947
Subjects: Agricultural and Food Policy
Crop Production/Industries
Labor and Human Capital
Livestock Production/Industries
Research and Development/Tech Change/Emerging Technologies
Teaching/Communication/Extension/Profession

description: Presentations included: Remarks (Meredith C. Wilson) --- Farm Labor Trends (William A. Schoenfeld) --- How Agricultural Trends May Affect the Farm Labor Situation (Dr. George W. Hill) --- Agricultural Trends and Their Relation to The Farm Labor Situation (Paul E. Nystrom) --- Comments on the Farm Labor Program in 1947 (Colonel Wilson R. Buie) --- Summary Brief of 1947 Farm Labor Problems Presented by the States (W. C. Holley) --- Extension's Job with Migrants and Employers of Migrants (Caesar Hohn) --- The New York Migrant Labor Problem (Dr. T. N. Hurd) --- Reducing the Need for Labor by Mechanization and Better Work Methods (J. L. Paschal) --- Farm labor Studies in Indiana (Dr. Lowell S. Hardin) --- Reducing the Need for Labor by Mechanization and Better Work Methods (Dr. R. M. Carter) --- Possibilities in the Field of Labor Management (L. M. Vaughn and C. Herman Welch, Jr.) --- Farm Work as an Educative Experience for Urban Youth (Dr. E. Allen Bateman) --- Farm Work an Educative Experience for Urban Youth (Robert S. Gilchrist) --- --- Farm Work an Educative Experience for Urban Youth (Dr. Harrison C. Thomas) --- Women - A Continuing Source of Farm Labor (Irene Fagin) --- Women - A Continuing Source of Farm Labor (Ruth J. Peck) --- Will Women Be a Continuing Source of Farm Labor? (Florence L. Hall) --- Information Serves the Whole Farm Labor Program (J. R. Beck) --- Information Serves the Whole Farm Labor Program (Carl E. Kemmerly, Jr.) --- Information Serves the Whole Farm Labor Program (Elton K. Hanks)
description: Salt Lake City, Utah, January 15-17 --- Chicago, Illinois, January 20-22 --- Atlantic City, New Jersey, January 28-30. A list of attendees at each conference is included.
Strategic health workforce planning
Creators: name: Weihong Hu
name: Lavieri, Mariel S.
name: Toriello, Alejandro
name: Liu, Xiang
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Analysts predict impending shortages in the health care workforce, yet wages for health care workers already account for over half of U.S. health expenditures. It is thus increasingly important to adequately plan to meet health workforce demand at reasonable cost. Using infinite linear programming methodology, we propose an infinite-horizon model for health workforce planning in a large health system for a single worker class; e.g., nurses. We give a series of common-sense conditions that any system of this kind should satisfy and use them to prove the optimality of a natural lookahead policy. We then use real-world data to examine how such policies perform in more complex systems; in particular, our experiments show that a natural extension of the lookahead policy performs well when incorporating stochastic demand growth.
Predictive Correction of Structured Resonance Mass Discrepancies via Planetary Trait Compensation
Creators: name: Hopkins, Joshua Jay
Publisher: name: Zenodo
Year: 2025
Subjects: subject: structured resonance, gravity, gravitational correction, mass discrepancy, torsion, planetary traits, coherence factor, spin rate, orbital eccentricity, axial tilt, moons, Lambda-Phi, resonance physics, predictive model, alternative gravity
subject: Theoretical Physics
subject: Gravitational Physics
subject: Planetary Science
subject: Astrophysics
subject: Mathematical Physics
subject: FOS: Mathematics
subject: Cosmology
subject: Fundamental Constants
subject: Systems Modeling

description: This paper introduces a predictive correction model for resolving systematic mass discrepancies observed in structured resonance gravity derivations. While structured resonance theory accurately models gravitational field strength from mass-energy and geometric phase constraints—without using Newton’s gravitational constant GGG—minor discrepancies arise when applying the model to real planetary bodies.

By analyzing the deviation patterns across solar system bodies, the paper identifies four contributing traits: planetary spin rate, axial tilt, orbital eccentricity, and number of moons. These attributes are modeled as torsional deformation factors that influence gravitational expression within the structured resonance framework.

A fitted compensatory equation is derived to quantify their combined effect, yielding high correlation with observed mass deviations. This correction model refines structured resonance predictions, bridging idealized torsional geometry with real-world gravitational behavior, and offering new insights into how coherence, resonance, and motion shape a body's apparent mass.
Effect of rumen-protected rice bran oil on carcass quality andfatty acid profile of beef from crossbred Wagyu steers
Creators: name: Rattakorn Mirattanaphra
name: Wisitiporn Suksombat
Publisher: name: Research and Development Office, Prince of Songkla University
Year: 2020
Subjects: rumen protected fat
rice bran oil
carcass quality
fatty acids
Wagyu beef steers

description: Songklanakarin Journal of Science and Technology, 42, 1, 123-131
Strategic Health Workforce Planning
Creators: name: Weihong Hu
name: Lavieri, Mariel S.
name: Toriello, Alejandro
name: Liu, Xiang
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Analysts predict impending shortages in the health care workforce, yet wages for health care workers already account for over half of U.S. health expenditures. It is thus increasingly important to adequately plan to meet health workforce demand at reasonable cost. Using infinite linear programming methodology, we propose an infinite-horizon model for health workforce planning in a large health system for a single worker class, e.g. nurses. We give a series of common-sense conditions any system of this kind should satisfy, and use them to prove the optimality of a natural lookahead policy. We then use real-world data to examine how such policies perform in more complex systems; in particular, our experiments show that a natural extension of the lookahead policy performs well when incorporating stochastic demand growth.
title: On the Development of Intercalation-Based Cathode Materials for All-Solid-State Fluoride Ion Batteries
Creators: name: Nowroozi, Mohammad Ali
Publisher: name: UNSPECIFIED
Year: 2020

description: Recently reversible batteries based on fluoride ions as a charge carriers have attracted some attentions as an alternative electrochemical energy storage system to conventional lithium ion batteries (LIBs). Fluoride is the most stable anion with a high mobility and therefore, fluoride ion batteries (FIBs) can theoretically provide a wide electrochemical potential window. Moreover, FIBs are capable of being built in an all solid-state modification. Previously, electrochemical fluoride ion cells based on conversion-based electrode materials have been built. However, the state of the art of the FIBs suffer from poor cycling performance in lack of well-developed cell components including the electrode materials. In the current study, intercalation-based cathode materials have been investigated as an alternative approach to make electrode materials for FIBs. In this respect, various compounds with mainly Ruddlesden-Popper-type structure including LaSrMO4 (M = Mn, Co, Fe) and La2MO4+d (M = Co, Ni) as well as Schafarzikite-type compounds of Fe0.5M0.5Sb2O4 (M = Mg, Co) have been subjected to electrochemical measurements including galvanostatic cycling, cyclic voltammetry and electrochemical impedance spectroscopy and the structural changes upon electrochemical fluorination/de-fluorination were analyzed by X-ray Diffraction (XRD). LaSrMnO4 has been fluorinated/de-fluorinated via electrochemical method confirming successful intercalation/de-intercalation of the fluoride ions, but showed problems for long-term operation. In contrast, La2NiO4+d showed to be the most promising intercalation-based cathode material (for FIB) in terms of cycling stability (>220 cycles and 60 cycles for cutoff capacities of 30 and 50 mAh/g, respectivly) with a nearly 100% Coulombic efficiency (average Coulombic efficiency of 97.68% and 95.44% for cutoff capacities of 30 and 50 mAh/g, respectively). This is the highest cycle life that has been reported so far for a FIB. One of the major challenges of the proposed FIB systems was found in avoiding oxidation of the conductive carbon which has been mixed with the electrodes to improve the electronic conductivity. This decomposition of the carbon matrix results in a remarkable increase in the impedance of the cell and can significantly impair the cycle life and discharge capacity. However, the critical charging conditions which could be determined by cyclic voltammetry and electrochemical impedance spectroscopy have a major impact on preserving the conductivity of the cell. In addition, the effect of volume change in the conversion-based anode materials has been studied showing that the overpotentials arising from the volume change can significantly influence the cycling behavior of the battery system (due to absence of well-developed intercalation-based anode materials for FIBs, conversion-based counter electrodes have been used as anode materials).
Simulations of aerosol filtration by vegetation: Validation of existing models with available lab data and application to near-roadway scenario
Creators: name: Neft, Ian
name: Scungio, Mauro
name: Culver, Nathaniel
name: Satbir Singh
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy
subject: Plant Biology

description: Concentrations of ultrafine particles (UFP) are generally elevated in the near-roadway environment due to traffic-related pollution. Exposure to UFP has been linked to adverse health effects for communities living near major roadways. Strategies to mitigate near-roadway air pollution include vehicle emission regulations, as well as installation of physical barriers such as walls, tree stands, and shrubs. Numerical simulation tools can be very useful to investigate the effectiveness of these barriers in mitigating air pollution. In the present work, a Reynolds-Averaged Navier–Stokes (RANS) based computational fluid dynamics (CFD) solver is used to predict filtration of UFP by vegetation. The RANS equations for turbulent flow are combined with a dry deposition velocity model and three different wake turbulence models. Reasonably good predictions of pressure drop across the vegetation and particle penetration efficiency are obtained when compared with available wind tunnel experiments for high leaf area density (LAD) in the range 69–263 . It is found that the model predictions are sensitive to the choice of wake turbulence model and certain model parameters. The model predictions also suggest that thin roadside vegetation with local LAD ≤ 5 is only partially effective in filtering UFP, especially when the vegetation thickness is less than 10 m along the direction of the wind. Copyright 2016 American Association for Aerosol Research
Meson masses and decay constants in holographic QCD consistent with ChPT and HQET
Creators: name: Lyubovitskij, Valery E.
name: Schmidt, Ivan
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We focus on the chiral and heavy quark mass expansion of mesons masses and decay constants. We propose a light-front QCD formalism for the evaluation of these quantities, consistent with chiral perturbation theory and heavy quark effective theory.
description: 7 pages
Career Building for Scientists - How to structure a strong Resume
Creators: name: Kostic, Milka
Publisher: name: Zenodo
Year: 2020
Subjects: career building for scientist
how to get hired
transitioning from academia to industry
resume
curriculum vitae
career planning for scientists

description: Many scientists spend years of training in an academic setting, and progress from one academic appointment to another using CVs as they go along to illustrate their educational and scientific achievements. Over time, CVs become long and meandering, not surprising given that CV is short for curriculum vitae aka "a course of life". Unfortunately, most employers outside the academia are not interested in long narratives. More terrifyingly, most companies use HR professionals with little or no scientific background to filter through large numbers of applications and narrow down the candidate pool. To streamline the process, employers want to see a short highlight of achievements, expertise, skills, interests and aptitudes, also known as a Resume. In order to resonate with an employer, Resume has to be clear, succinct, specific, and well-aligned with the responsibilities and requirements of the role that a candidate is being considered for. In this presentation you will learn some basics of conducting an effective job search, how to read job ads in a way that will help you structure your Resume, and learn more about what Resume is and what it should look like.
Highly broad-specific and sensitive direct competitive enzyme-linked immunosorbent assay for screening multi-antibacterial synergists: assay optimization and application to animal-derived food
Creators: name: Liang, Xiao
name: Li, Jinyan
name: Zhong, Lijuan
name: Liu, Baotao
name: Wang, Nannan
name: Wang, Zhanhui
name: Zou, Ming
name: Zhang, Qidi
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Virology

description: The optimum conditions of a direct competitive enzyme-linked immunosorbent assay (dcELISA) in regard to different monoclonal antibodies (MAbs), coating conditions, blocking conditions and physicochemical factors of the assay buffer were investigated to develop a broad-specific and sensitive immunoassay for detection of antibacterial synergists (ASGs) in milk, eggs, chicken and pork. Under optimized conditions, a highly broad-specific and sensitive dcELISA for ASGs was obtained based on 5C4 and hapten-C-HRP, demonstrating a 50% specific binding (IC50) for five ASGs of 0.208–9.24 ng mL−1 with cross-reactivity (CR) of 138.2–7.5%. The optimized dcELISA was used to quantify the five ASGs in milk, egg, chicken muscle and beef with the average recoveries of 79.5–105.4% and coefficients of variation (CV) less than 13.4%. The established method with broad specificity and uniform affinity, offered a simple, sensitive, and high-throughput screening tool for the detection of multi- ASGs in animal-derived food.
Semiclassical Real-Time Nuclear-Electronic Orbital Dynamics for Molecular Polaritons: Unified Theory of Electronic and Vibrational Strong Couplings
Creators: name: Li, Tao E.
name: Tao, Zhen
name: Hammes-Schiffer, Sharon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Molecular polaritons have become an emerging platform for remotely controlling molecular properties through strong light-matter interactions. Herein, a semiclassical approach is developed for describing molecular polaritons by self-consistently propagating the real-time dynamics of classical cavity modes and a quantum molecular subsystem described by the nuclear-electronic orbital (NEO) method, where electrons and specified nuclei are treated quantum mechanically on the same level. This semiclassical real-time NEO approach provides a unified description of electronic and vibrational strong couplings and describes the impact of the cavity on coupled nuclear-electronic dynamics while including nuclear quantum effects. For a single o-hydroxybenzaldehyde molecule under electronic strong coupling, this approach shows that the cavity suppression of excited state intramolecular proton transfer is influenced not only by the polaritonic potential energy surface but also by the timescale of the chemical reaction. This work provides the foundation for exploring collective strong coupling in nuclear-electronic quantum dynamical systems within optical cavities.
description: manuscript (33 pages) + SI (13 pages) + TOC figure (1 page)
Simulations of Aerosol Filtration by Vegetation: Validation of Existing Models with Available Lab data and Application to Near-Roadway Scenario
Creators: name: Neft, Ian
name: Scungio, Mauro
name: Culver, Nathaniel
name: Satbir Singh
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy
subject: Plant Biology

description: Concentrations of ultrafine particles (UFP) are generally elevated in the near-roadway environment due to traffic-related pollution. Exposure to UFP has been linked to adverse health effects for communities living near major roadways. Strategies to mitigate near-roadway air pollution include vehicle emission regulations, as well as installation of physical barriers such as walls, tree stands, and shrubs. Numerical simulation tools can be very useful to investigate the effectiveness of these barriers in mitigating air pollution. In the present work, a Reynolds-Averaged Navier-Stokes (RANS) based computational fluid dynamics (CFD) solver is used to predict filtration of UFP by vegetation. The RANS equations for turbulent flow are combined with a dry deposition velocity model and three different wake turbulence models. Reasonably good predictions of pressure drop across the vegetation and particle penetration efficiency are obtained when compared with available wind tunnel experiments for high leaf area density (LAD) in the range 69 – 263 m2/m3. It is found that the model predictions are sensitive to the choice of wake turbulence model and certain model parameters. The model predictions also suggest that thin roadside vegetation with local LAD ≤ 5 m2/m3 is only partially very effective in filtering UFP, especially when the vegetation thickness is less than 10 m along the direction of the wind.
Additional file 4 of Transcriptome analysis of the response provided by Lasiopodomys mandarinus to severe hypoxia includes enhancing DNA repair and damage prevention
Creators: name: Dong, Qianqian
name: Wang, Zishi
name: Jiang, Mengwan
name: Sun, Hong
name: Wang, Xuqin
name: Li, Yangwei
name: Zhang, Yifeng
name: Cheng, Han
name: Chai, Yurong
name: Shao, Tian
name: Shi, Luye
name: Wang, Zhenlong
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 4: Figure S3. Gene-pathway networks for DEGs in L. mandarinus (A) and L. brandtii (B) under severe hypoxia determined using the Clue GO tool in Cytoscape. Small and large dots represent DEGs and enriched pathways, respectively. Genes indicated in blue are upregulated. Lines between dots represent connections between the genes and the pathways in the network; genes with more connections are more important in the network.
Capturing the psychosocial impacts of falls from the perspectives of wheelchair users with spinal cord injury through photo-elicitation
Creators: name: Singh, Hardeep
name: Scovil, Carol Y.
name: Yoshida, Karen
name: Oosman, Sarah
name: Kaiser, Anita
name: Jaglal, Susan B.
name: Musselman, Kristin E.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Mental Health

description: While the physical consequences of falls among wheelchair users with spinal cord injury have previously been examined, the psychosocial impacts remain understudied. Here, we explored the psychosocial impacts of falls and risk of falling from the perspectives of wheelchair users with spinal cord injury. Twelve wheelchair users (aged 41.8 ± 12.5 years; median 17.5 (range 3–44) years post-spinal cord injury) with traumatic spinal cord injury captured photographs of how falls and the risk of falling impacted their recreation/leisure and paid/volunteer work activities. Participants then engaged in photo-elicitation interviews to discuss the content depicted in the photographs. Interviews were analyzed using a thematic analysis. Two main themes emerged: (1) The varying concern about falling: While some participants experienced a high concern, others were not concerned about falling in their daily activities. The level of concern about falling varied among participants over time and across situations. (2) Fear, falling, and limitations: Falls could impact daily activities, parenting, work, leisure/recreation, and lead participants to want a life without a constant risk of falling. Falls have a significant psychosocial impact for some, but not all participants. Clinicians should explore whether and to what extent falls/fall risk have a lasting psychosocial impact, and work with individuals to create strategies that may reduce negative psychosocial impacts.IMPLICATIONS FOR REHABILITATIONThis study highlighted that falls can have a significant psychosocial impact on the lives of some wheelchair users with spinal cord injury.Since a wheelchair user’s concern of falls may change overtime, clinicians are encouraged to have ongoing dialogue about every wheelchair user’s level of concern about falls.If a wheelchair user expresses a high concern of falls, clinicians are encouraged to provide appropriate supports and resources for individuals to continue engaging in meaningful activities. This study highlighted that falls can have a significant psychosocial impact on the lives of some wheelchair users with spinal cord injury. Since a wheelchair user’s concern of falls may change overtime, clinicians are encouraged to have ongoing dialogue about every wheelchair user’s level of concern about falls. If a wheelchair user expresses a high concern of falls, clinicians are encouraged to provide appropriate supports and resources for individuals to continue engaging in meaningful activities.
Система мониторинга состояния водителя с помощью видеосистемы
Creators: name: Zhdanov, Aleksei E.
name: Dolganov, Anton Yu.
name: Borisov, Vasili I.
Publisher: name: Zenodo
Year: 2020

description: Суть проекта: разработка системы детектирования состояния водителя (опьянения, усталости) на базе компьютерного зрения и машинного обучения. Возможный профит проекта: сокращение количества ДТП за счет заблаговременной индикации водителя, модернизация ИТИС-КАМАЗ. Контакты: Жданов Алексей (+7 (999) 565-56-06, a.e.zhdanov@urfu.ru)
Stock-Specific Size and Migration of Juvenile Coho Salmon in British Columbia and Southeast Alaska Waters
Creators: name: Beacham, Terry D.
name: Beamish, Richard J.
name: Chrys M. Neville
name: Candy, John R.
name: Wallace, Colin
name: Strahan Tucker
name: Trudel, Marc
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: 111714 Mental Health
subject: FOS: Health sciences

description: The variation at 17 microsatellites was analyzed for 5,270 juvenile Coho Salmon Oncorhynchus kisutch obtained from coastal British Columbia and Gulf of Alaska surveys during 1998–2012. A 270-population baseline was used to determine the individual identifications of the fish sampled, with individuals being identified to 22 stocks of origin. Columbia River and Washington juveniles were consistently larger than those from British Columbia and Alaska. During June, the larger individuals within a stock were observed in more northerly locations. There was a relationship between the timing of northward migration and juvenile body size, with larger individuals migrating earlier than smaller individuals from the same stocks. Stock composition was more diverse in the northern sampling regions than in those in southern British Columbia. There was only a modest change in stock composition between fall and winter samples in both the Strait of Georgia and west coast of Vancouver Island sampling regions, indicating that juvenile migration had largely been completed by the fall. There was a wide divergence among stocks in juvenile size and dispersion among sampling locations. Received December 9, 2015; accepted February 9, 2016
3D large-scale fused silica microfluidic chips enabled by hybrid laser microfabrication for continuous-flow UV photochemical synthesis
Creators: name: Zhang, Aodong
name: Xu, Jian
name: Li, Yucen
name: Hu, Ming
name: Lin, Zijie
name: Song, Yunpeng
name: Qi, Jia
name: Chen, Wei
name: Liu, Zhaoxiang
name: Cheng, Ya
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: We demonstrate a hybrid laser microfabrication approach, which combines the technical merits of ultrafast laser-assisted chemical etching and carbon dioxide laser-induced in-situ melting, for centimeter-scale and bonding-free fabrication of 3D complex hollow microstructures in fused silica glass. With the developed approach, large-scale fused silica microfluidic chips with integrated 3D cascaded micromixing units can be reliably manufactured. High-performance on-chip mixing and continuous-flow photochemical synthesis under UV LEDs irradiation at ~280 nm were demonstrated using the manufactured chip, indicating a powerful capability for versatile fabrication of highly transparent all-glass microfluidic reactors for on-chip photochemical synthesis.
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey
Creators: name: Saleh, Alzayat
name: Sheaves, Marcus
name: Azghadi, Mostafa Rahimi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Marine scientists use remote underwater video recording to survey fish species in their natural habitats. This helps them understand and predict how fish respond to climate change, habitat degradation, and fishing pressure. This information is essential for developing sustainable fisheries for human consumption, and for preserving the environment. However, the enormous volume of collected videos makes extracting useful information a daunting and time-consuming task for a human. A promising method to address this problem is the cutting-edge Deep Learning (DL) technology.DL can help marine scientists parse large volumes of video promptly and efficiently, unlocking niche information that cannot be obtained using conventional manual monitoring methods. In this paper, we provide an overview of the key concepts of DL, while presenting a survey of literature on fish habitat monitoring with a focus on underwater fish classification. We also discuss the main challenges faced when developing DL for underwater image processing and propose approaches to address them. Finally, we provide insights into the marine habitat monitoring research domain and shed light on what the future of DL for underwater image processing may hold. This paper aims to inform a wide range of readers from marine scientists who would like to apply DL in their research to computer scientists who would like to survey state-of-the-art DL-based underwater fish habitat monitoring literature.
description: Published Online \c{opyright} 2022 The Authors. Fish and Fisheries published by John Wiley & Sons Ltd
Antimicrobial electrospun fiber mat from gelatinand crude extract of lipopeptides
Creators: name: Tipnipa Yoochang
name: Jirarat Anuntagool
name: Suthep Thaniyavarn
name: Morikawa, Masaaki
name: Jiraporn Thaniyavarn
Publisher: name: Research and Development Office, Prince of Songkla University
Year: 2020
Subjects: biosurfactant
lipopeptides
gelatin, nanofiber
antimicrobial mat

description: Songklanakarin Journal of Science and Technology, 42, 1, 101-108
Stochastic user equilibrium model with a tradable credit scheme and application in maximizing network reserve capacity
Creators: name: Han, Fei
name: Cheng, Lin
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy

description: The tradable credit scheme (TCS) outperforms congestion pricing in terms of social equity and revenue neutrality, apart from the same perfect performance on congestion mitigation. This article investigates the effectiveness and efficiency of TCS on enhancing transportation network capacity in a stochastic user equilibrium (SUE) modelling framework. First, the SUE and credit market equilibrium conditions are presented; then an equivalent general SUE model with TCS is established by virtue of two constructed functions, which can be further simplified under a specific probability distribution. To enhance the network capacity by utilizing TCS, a bi-level mathematical programming model is established for the optimal TCS design problem, with the upper level optimization objective maximizing network reserve capacity and lower level being the proposed SUE model. The heuristic sensitivity analysis-based algorithm is developed to solve the bi-level model. Three numerical examples are provided to illustrate the improvement effect of TCS on the network in different scenarios.
GEMA: An open-source Python library for self-organizing-maps
Creators: name: Garcia-Tejedor, Alvaro J.
name: Nogales, Alberto
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Organizations have realized the importance of data analysis and its benefits. This in combination with Machine Learning algorithms has allowed to solve problems more easily, making these processes less time-consuming. Neural networks are the Machine Learning technique that is recently obtaining very good best results. This paper describes an open-source Python library called GEMA developed to work with a type of neural network model called Self-Organizing-Maps. GEMA is freely available under GNU General Public License at GitHub (https://github.com/ufvceiec/GEMA). The library has been evaluated in different a particular use case obtaining accurate results.
Additional file 1 of Transcriptome analysis of the response provided by Lasiopodomys mandarinus to severe hypoxia includes enhancing DNA repair and damage prevention
Creators: name: Dong, Qianqian
name: Wang, Zishi
name: Jiang, Mengwan
name: Sun, Hong
name: Wang, Xuqin
name: Li, Yangwei
name: Zhang, Yifeng
name: Cheng, Han
name: Chai, Yurong
name: Shao, Tian
name: Shi, Luye
name: Wang, Zhenlong
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Table S1. Illumina sequencing data of the analyzed samples. Table S2. Length distribution and quality metrics of unigenes in L. mandarinus and L. brandtii. Table S3. Functional annotation results for L. mandarinus and L. brandtii transcriptomes. Table S4. Annotated DEGs for L. mandarinus and L. brandtii. Table S5. Significantly enriched GO terms for up- and downregulated DEGs in L. mandarinus and L. brandtii under severe hypoxia. Table S6. Enriched KEGG pathways for up- and downregulated DEGs in L. mandarinus and L. brandtii under severe hypoxia. Table S7. Results of RNA extraction from L. mandarinus and L. brandtii brain tissue. Table S8. RT-qPCR primers for the validation of RNA-Seq data. Table S9. Characteristics of L. mandarinus and L.brandtii samples.
A.Basson PhD Thesis
Creators: name: Basson, Abigail
Publisher: name: figshare
Year: 2016
Subjects: subject: 110307 Gastroenterology and Hepatology
subject: FOS: Clinical medicine

description: Doctoral Thesis via 4 publications of Abigail R Basson, University of the Western Cape, South Africa, 2015
Benchmarks for Solar Radiation Time Series Forecasting
Creators: name: Voyant, Cyril
name: Notton, Gilles
name: Duchaud, Jean-Laurent
name: Gutiérrez, Luis Antonio García
name: Bright, Jamie M.
name: Yang, Dazhi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applications (stat.AP)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: With an ever-increasing share of intermittent renewable energy in the world's energy mix,there is an increasing need for advanced solar power forecasting models to optimize the operation and control of solar power plants. In order to justify the need for more elaborate forecast modeling, one must compare the performance of advanced models with naive reference methods. On this point, a rigorous formalism using statistical tools, variational calculation and quantification of noise in the measurement is studied and five naive reference forecasting methods are considered, among which there is a newly proposed approach called ARTU (a particular autoregressive model of order two). These methods do not require any training phase nor demand any (or almost no) historical data. Additionally, motivated by the well-known benefits of ensemble forecasting, a combination of these models is considered, and then validated using data from multiple sites with diverse climatological characteristics, based on various error metrics, among which some are rarely used in the field of solar energy. The most appropriate benchmarking method depends on the salient features of the variable being forecast (e.g., seasonality, cyclicity, or conditional heteoroscedasity) as well as the forecast horizon. Hence, to ensure a fair benchmarking, forecasters should endeavor to discover the most appropriate naive reference method for their setup by testing all available options. Among the methods proposed in this paper, the combination and ARTU statistically offer the best results for the proposed study conditions.
description: 32 pages, 9 Tables and 4 Figures