cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
GRANISETRON VERSUS ONDANSETRON FOR PREVENTING POSTOPERATIVE NAUSEA AND VOMITING AFTER LAPAROSCOPY AT TERTIARY CARE HOSPITAL, SALEM, TAMIL NADU
Creators: name: Dr. S. Prem Kumar
name: Dr. P. Abdul Rahaman
name: Dr. Prabhu Thilaak
name: Dr. Sathish. R
name: Dr. V. A. Sabapathy
Publisher: name: Zenodo
Year: 2024
Subjects: Anaesthesia; Laparoscopic Cholecystectomy; Granisetron; Ondansetron; Nausea and Vomiting.

description: Abstract

Background and Aims: After laparoscopic procedures, unpleasant side effects of general anaesthesia are often encountered, including post-operative nausea and vomiting (PONV). The purpose of the research was to assess the antiemetic effects of two distinct 5-hydroxytryptamine-3 receptor antagonists, Granisetron and Ondansetron, when administered proactively to patients having general anesthesia-induced laparoscopic cholecystectomy. Material and Methods: Sixty ASA-PS I/II patients, weighing 40–80 kg, having elective laparoscopic cholecystectomy under general anaesthesia participated in a prospective, double-blind trial. Thirty patients each were assigned to Group A (ondansetron 4 mg intravenously) and Group B (granisetron 2 mg intravenously). Prior to the restoration of the neuromuscular blockade, both medications were given after surgery, diluted to 10 millilitres in regular saline. Severe episodes of nausea and vomiting were evaluated six, twelve, and twenty-four hours after surgery. A p-value of less than 0.05 was deemed significant when the collected data was run through the relevant test in the Statistical Package for the Social Sciences (SPSS). Results: The Ondansetron group had a higher incidence of PONV (25%) than the Granisetron group (14%) (P<0.05).  The demographic information was similar for both groups (p>0.05). No significant difference observed in the recovery time from anesthesia between the two drugs and slight difference in the adverse events were observed between the two groups. Conclusions: When administered prophylactically during laparoscopic cholecystectomy, the incidence of PONV was considerably higher in the Ondansetron group than in the Granisetron group i.e Granisetron is more effective drug than ondansetron with less incidence of side effects.
A correction to a result of Chinburg and Henriksen on powers of integer polynomials
Creators: name: Zhu, Daniel G.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 13F20 (Primary) 11C08, 11P05 (Secondary)

description: For a positive integer $k$, let $m(k)$ be the minimum positive integer $m$ such that $mx$ can be written as an integer linear combination of $k$th powers of integer polynomials. We correct an error in a 1976 formula of Chinburg and Henriksen for $m(k)$.
description: 6 pages, 1 table; final version
QUANTUM SIMULATION METHODS FOR THE STUDY OF NUCLEAR QUANTUM EFFECTS OF HYDROGEN
Creators: name: Robinson, Robbie Scott
Publisher: name: Washington State University
Year: 2023
Subjects: CRYOGENIC HYDROGEN
METALLIC HYDROGEN
NUCLEAR QUANTUM EFFECTS
PAIR POTENTIAL
QUANTUM MONTE CARLO
Computational Physics

description: The work of this dissertation focuses on developing accurate quantum simulation methods for modeling the nuclear quantum effects of hydrogen at extreme and exotic conditions. This was accomplished for dense atomic hydrogen and also cryogenic H$_2$ interacting with a Ru surface. Simplifying the full quantum problem of dense hydrogen while retaining quantitative accuracy was performed by developing a dense hydrogen pair potential applied to each atomic nuclei. For the exotic condition of cryogenic H$_2$, a catalytic conversion model was developed to simulate the change in nuclear spin states between orhto and para. The accuracy of both models to DFT simulations were compared. For both dense monatomic and cryogenic H$_2$ adiabatic quantum Monte Carlo was carried out to simulate both the accuracy of the models on candidate systems and their hidden underlying properties resulting largely from nuclear quantum effects.
Inverse design of spinodoid structures using Bayesian optimization
Creators: name: Raßloff, Alexander
name: Seibert, Paul
name: Kalina, Karl A.
name: Kästner, Markus
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Tailoring materials to achieve a desired behavior in specific applications is of significant scientific and industrial interest as design of materials is a key driver to innovation. Overcoming the rather slow and expertise-bound traditional forward approaches of trial and error, inverse design is attracting substantial attention. Targeting a property, the design model proposes a candidate structure with the desired property. This concept can be particularly well applied to the field of architected materials as their structures can be directly tuned. The bone-like spinodoid materials are a specific class of architected materials. They are of considerable interest thanks to their non-periodicity, smoothness, and low-dimensional statistical description. Previous work successfully employed machine learning (ML) models for inverse design. The amount of data necessary for most ML approaches poses a severe obstacle for broader application, especially in the context of inelasticity. That is why we propose an inverse-design approach based on Bayesian optimization to operate in the small-data regime. Necessitating substantially less data, a small initial data set is iteratively augmented by in silico generated data until a structure with the targeted properties is found. The application to the inverse design of spinodoid structures of desired elastic properties demonstrates the framework's potential for paving the way for advance in inverse design.
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Creators: name: Sweeting, Michael
name: Slade, Daniel
name: Jackson, Dan
name: Brock, Kristian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation (stat.CO)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Dose-finding trials are a key component of the drug development process and rely on a statistical design to help inform dosing decisions. Triallists wishing to choose a design require knowledge of operating characteristics of competing methods. This is often assessed using a large-scale simulation study with multiple designs and configurations investigated, which can be time-consuming and therefore limits the scope of the simulation.
 We introduce a new approach to the design of simulation studies of dose-finding trials. The approach simulates all potential outcomes that individuals could experience at each dose level in the trial. Datasets are simulated in advance and then the same datasets are applied to each of the competing methods to enable a more efficient head-to-head comparison.
 In two case-studies we show sizeable reductions in Monte Carlo error for comparing a performance metric between two competing designs. Efficiency gains depend on the similarity of the designs. Comparing two Phase I/II design variants, with high correlation of recommending the same optimal biologic dose, we show that the new approach requires a simulation study that is approximately 30 times smaller than the conventional approach. Furthermore, advance-simulated trial datasets can be reused to assess the performance of designs across multiple configurations.
 We recommend researchers consider this more efficient simulation approach in their dose-finding studies and we have updated the R package escalation to help facilitate implementation.
description: 27 pages, 4 figures, 1 table
Raw data from WCHN 20240501
Creators: name: Mitchell, Michela
name: Hall, Kathryn
Publisher: name: OSF Registries
Year: 2022
Subjects: subject: Medicine and Health Sciences
subject: Life Sciences
subject: ARGA
subject: Australian Reference Genome Atlas
subject: Data sharing
subject: Database
subject: FAIR
subject: Genomics
subject: Venomous
subject: Venomous species

description: Data output from the Women and Children's Health Network venomous species web resource available at: http://toxinology.com/.
Sparse-Stochastic Fragmented Exchange for Large-Scale Hybrid TDDFT Calculations
Creators: name: Sereda, Mykola
name: Allen, Tucker
name: Bradbury, Nadine C.
name: Ibrahim, Khaled Z.
name: Neuhauser, Daniel
Publisher: name: arXiv
Year: 2024
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We extend our recently developed sparse-stochastic fragmented exchange formalism for ground-state hybrid DFT (ngH-DFT) to calculate absorption spectra within linear-response time-dependent Generalized Kohn-Sham DFT (LR-GKS-TDDFT), for systems consisting of thousands of valence electrons within a grid-based/plane-wave representation. A mixed deterministic/fragmented-stochastic compression of the exchange kernel, here using long-range explicit exchange functionals, provides an efficient method for accurate optical spectra. Both real-time propagation as well frequency-resolved Casida-equation-type approaches for spectra are presented, and the method is applied to large molecular dyes.
description: 22 pages, 4 figures. First two authors are equal contributors to this work and designated as co-first authors
sj-docx-1-tam-10.1177_17588359221141307 – Supplemental material for Predictive value of vascular endothelial growth factor polymorphisms for maintenance bevacizumab efficacy in metastatic colorectal cancer: an ancillary study of the PRODIGE 9 phase III trial
Creators: name: de Rauglaudre, Bernadette
name: Sibertin-Blanc, Camille
name: Fabre, Aurélie
name: Le Malicot, Karine
name: Bennouna, Jaafar
name: Ghiringhelli, François
name: Taïeb, Julien
name: Boige, Valérie
name: Bouché, Olivier
name: Chatellier, Thierry
name: Faroux, Roger
name: François, Eric
name: Jacquot, Stéphane
name: Genet, Dominique
name: Mulot, Claire
name: Olschwang, Sylviane
name: Seitz, Jean-François
name: Aparicio, Thomas
name: Dahan, Laetitia
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 111702 Aged Health Care
subject: FOS: Health sciences
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 110203 Respiratory Diseases

description: Supplemental material, sj-docx-1-tam-10.1177_17588359221141307 for Predictive value of vascular endothelial growth factor polymorphisms for maintenance bevacizumab efficacy in metastatic colorectal cancer: an ancillary study of the PRODIGE 9 phase III trial by Bernadette de Rauglaudre, Camille Sibertin-Blanc, Aurélie Fabre, Karine Le Malicot, Jaafar Bennouna, François Ghiringhelli, Julien Taïeb, Valérie Boige, Olivier Bouché, Thierry Chatellier, Roger Faroux, Eric François, Stéphane Jacquot, Dominique Genet, Claire Mulot, Sylviane Olschwang, Jean-François Seitz, Thomas Aparicio and Laetitia Dahan in Therapeutic Advances in Medical Oncology
EXPERIMENTAL ANALYSIS OF CRYOGENIC HYDROGEN LEAKAGE IN ADDITIVELY MANUFACTURED HYDROGEN TANKS
Creators: name: Boettner, Drew Philip
Publisher: name: Washington State University
Year: 2023
Subjects: Additive Manufacturing
Fuel Cell
Fuel Tank
Hydrogen
Polymer Matrix Composite
Hydraulic Engineering

description: Additive manufacturing (AM) has enabled production of novel liquid hydrogen (LH2) fuel tank configurations using polymer matrix composites (PMC) reinforced with carbon fiber and glass beads for aerospace applications. However, in experimental field trials hydrogen leakage into insulation layers of prototype tanks reduced LH2 storage duration up to 65%. Four modes of hydrogen leakage through the tank constituent material were experimentally investigated: 1) permeation through the AM PMC, 2) flow through cracks induced by thermal stress, 3) flow through unsealed epoxy joints, and 4) bulk flow through catastrophic failure. Measurements were completed with AM PMC tank specimens at both standard and cryogenic temperatures through a combination of mass spectroscopy, optical microscopy, and burst testing. The sample measurements were compared with the ability of full-scale tanks to retain LH2 with no leakage. These results indicate that unsealed or broken joints within the tank were the cause of poor insulation performance, and no hydrogen seepage was detected via other transport mechanisms through the AM PMC.
QTL ANALYSIS AND GENOMIC SELECTION FOR PREHARVEST SPROUTING TOLERANCE IN WINTER WHEAT
Creators: name: Wigen, Jason Robert
Publisher: name: Washington State University
Year: 2023
Subjects: subject: Breeding
subject: QTL
subject: Wheat
subject: Genetics
subject: FOS: Biological sciences

description: Wheat (Triticum spp.) is a highly adapted and staple part of many diets worldwide, providing nearly 20% of the caloric intake for a large portion of the globe. The U.S. Inland Pacific Northwest specializes in soft white winter wheat, due to its ability to produce grain of exceptional quality while achieving high yields with less than 350 mm of rainfall in many areas. Ill-timed rain events prior to harvest can compromise the grain’s quality through preharvest sprouting when the grains germinate prior to harvest and starches in the grain are degraded due to the presence of alpha-amylase. The milling and baking industries use the Hagberg-Perten falling numbers method to measure alpha-amylase digestion of starch in grain. Finding solutions at the genetic level is crucial to minimize damage to farmers’ grain. The objectives of this thesis were to validate previously reported quantitative trait locus associated with preharvest sprouting tolerance, find potentially find new sources of large effect tolerance loci from the club wheat cultivar ‘Cara’, and to explore genomic prediction as a method for improving PHS selection in the winter wheat breeding program. We identified 19 QTL in our analysis of sprouting and seed dormancy traits in a biparental club x lax doubled haploid population. Four QTL were validated from previous association mapping studies of northwest U.S. germplasm. Of note, was QPHS.wsu-2D, which appeared to be a new source of physiological dormancy closely linked to the Compactum locus, the gene responsible for the club head type. Future work will need to determine this through either segregation analysis or mutagenesis. Additionally, we enhanced and simplified the complicated phenotyping methods for preharvest sprouting tolerance. Methods for screening alpha-amylase activity after misting were explored as an approach to predict FN after rain. Preliminary data suggest that alpha-amylase enzyme assays can better predict falling number than degree of visible sprouting. The accuracy of genomic prediction was improved by simplifying the current 1 to 10 sprouting scale. A binomial scoring system was able to increase mean genomic prediction accuracies to 0.74, compared to 0.60 with the original scoring scale.
Speed limits to the growth of Krylov complexity in open quantum systems
Creators: name: Bhattacharya, Aranya
name: Nath, Pingal Pratyush
name: Sahu, Himanshu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Recently, the propagation of information through quantum many-body systems, developed to study quantum chaos, have found many application from black holes to disordered spin systems. Among other quantitative tools, Krylov complexity has been explored as a diagnostic tool for information scrambling in quantum many-body systems. We introduce a universal limit to the growth of the Krylov complexity in dissipative open quantum systems by utilizing the uncertainty relation for non-hermitian operators. We also present the analytical results of Krylov complexity for characteristic behavior of Lanczos coefficients in dissipative systems. The validity of these results are demonstrated by explicit study of transverse-field Ising model under dissipative effects.
description: Author accepted manuscript, matches published version
High-Impedance Microwave Resonators with Two-Photon Nonlinear Effects
Creators: name: Andersson, S.
name: Havir, H.
name: Ranni, A.
name: Haldar, S.
name: Maisi, V. F.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: In this article, we present an experimental study of a Josephson junction -based high-impedance resonator. By taking the resonator to the limit of consisting effectively only of one junction, results in strong non-linear effects already for the second photon while maintaining a high impedance of the resonance mode. Our experiment yields thus resonators with the strong interactions both between individual resonator photons and from the resonator photons to other electric quantum systems. We also present an energy diagram technique which enables to measure, identify and analyse different multi-photon optics processes along their energy conservation lines.
Additional file 1 of Electrocardiographic tracking of left ventricular hypertrophy in hypertension: incidence and prognostic outcomes from the SPRINT trial
Creators: name: Zhang, Zhuxin
name: Li, Le
name: Zhang, Zhenhao
name: Hu, Zhao
name: Xiong, Yulong
name: Zhou, Likun
name: Yao, Yan
Publisher: name: figshare
Year: 2024
Subjects: subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Developmental Biology
subject: Science Policy
subject: Mental Health

description: Supplementary Material 1
Dynamic Posed Emotional Crying Behavior Database - Validation Study
Creators: name: Wróbel, Monika
name: Zickfeld, Janis
name: Ciesielski, Paweł
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Social Psychology
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology
subject: database
subject: emotional crying
subject: tears

description: Registration for Validation Study of the Dynamic Posed Emotional Crying Behavior Database (DPECB).
sj-pdf-1-inv-10.1177_15569845221143420 – Supplemental material for Coronary Revascularization in Patients With Diabetes: A Meta-analysis of Randomized Controlled Trials and Propensity-Matched Studies
Creators: name: Ahmed, Adham
name: Varghese, Kathryn S.
name: Fusco, Peter J.
name: Mathew, Dave M.
name: Mathew, Serena M.
name: Ahmed, Sarah
name: Rogando, Dillon O.
name: Salazar, Stephanie A.
name: Pandey, Roshan
name: Awad, Ahmed K.
name: Levy, Kenneth H.
name: Hernandez, Marisol
name: Calixte, Rose
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 110323 Surgery
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-inv-10.1177_15569845221143420 for Coronary Revascularization in Patients With Diabetes: A Meta-analysis of Randomized Controlled Trials and Propensity-Matched Studies by Adham Ahmed, Kathryn S. Varghese, Peter J. Fusco, Dave M. Mathew, Serena M. Mathew, Sarah Ahmed, Dillon O. Rogando, Stephanie A. Salazar, Roshan Pandey, Ahmed K. Awad, Kenneth H. Levy, Marisol Hernandez and Rose Calixte in Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery
ANALYSIS OF SIMULATED NUCLEAR WASTE GLASS ON SULFUR SOLUBILITY AND REFRACTORY CORROSION
Creators: name: Smith-Gray, Natalie Jenny
Publisher: name: Washington State University
Year: 2023
Subjects: Glass
Nuclear Waste
Refractory Corrosion
Sulfate Solubility
Vitrification

description: Understanding how various elements effect refractory corrosion and sulfate solubility is important for nuclear waste vitrification. Salt formation during the vitrification process is not desired for various reasons including the corrosive nature of salt and the formation of a water-soluble salts which may contain radioactive particles. This work focuses on two main objectives (1) refractory corrosion and (2) understanding how various anions alter a glass structure and the effect they have on sulfate retention. The first objective, regarding refractory corrosion, focuses on understanding the mechanisms involved through visualization with scanning electron microscopy and then discussing the develop of a predictive refractory corrosion model. The second objective focuses on understanding of how anion components (e.g., halides and oxyanions such as sulfate) affect the structure and chemistry of borosilicate glass as applied to the incorporation of these elements (e.g., F, Cl, S, Cr, V) in nuclear waste glasses. Various analytical techniques are utilized to investigate the changes in glass structure, including magic angle spinning nuclear magnetic resonance (MAS-NMR), thermal analysis (DTA/TGA), x-ray diffraction (XRD), absorption spectroscopy (UV-Vis), electron microprobe (EPMA), and Raman spectroscopy.
Extract non-Gaussian Features in Gravitational Wave Observation Data Using Self-Supervised Learning
Creators: name: Lin, Yu-Chiung
name: Kong, Albert K. H.
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We propose a self-supervised learning model to denoise gravitational wave (GW) signals in the time series strain data without relying on waveform information. Denoising GW data is a crucial intermediate process for machine-learning-based data analysis techniques, as it can simplify the model for downstream tasks such as detections and parameter estimations. We use the blind-spot neural network and train it with whitened strain data with GW signals injected as both input data and target. Under the assumption of a Gaussian noise model, our model successfully denoises 38% of GW signals from binary black hole mergers in H1 data and 49% of signals in L1 data detected in the O1, O2, and O3 observation runs with an overlap greater than 0.5. We also test the model's potential to extract glitch features, loud inspiral compact binary coalescence signals a few seconds before the merger, and unseen CCSN signals during training.
description: 41 pages, 17 figures in the main article, and 43 figures in the appendix. Under revision in Physical Review D
Fostering Early Career Skill Development in HPC and RSE - Leveraging Community Support
Creators: name: Broadway, Eleanor
Publisher: name: Zenodo
Year: 2024

description: As computational research advances, the convergence of Research Software Engineering (RSE) and High Performance Computing (HPC) becomes more pronounced as both expertise play crucial roles in addressing modern scientific challenges. For example, the UK’s national HPC service, ARCHER2, relies on an embedded team of RSEs to provide essential support, illustrating the intersection of the HPC and RSE communities. Such roles are dynamic and exciting but require a diverse set of skills from proficiency in parallel computing and optimisation strategies to effective communication and the translation of technical concepts into accessible language. The RSE and HPC communities both offer rich and diverse career development pathways to develop these essential skills. Whether through specialist training programmes, collaborative research projects, or professional development activities like workshops and conferences, these communities have access to resources which enable them to refine their skills and stay at the forefront of computational research innovation. By embracing these pathways, RSEs and HPC practitioners can thrive in their roles. Drawing from personal experience as an early career researcher transitioning into this dynamic role, this talk will provide insights into the essential skills required to grow in this interdisciplinary environment. I will discuss the skills I brought to this role, those I needed to develop, and how the communities supported my development. This presentation aims to offer valuable insights into career development pathways and fostering the acquisition of new skills essential for achieving success.
Additional file 2 of Electrocardiographic tracking of left ventricular hypertrophy in hypertension: incidence and prognostic outcomes from the SPRINT trial
Creators: name: Zhang, Zhuxin
name: Li, Le
name: Zhang, Zhenhao
name: Hu, Zhao
name: Xiong, Yulong
name: Zhou, Likun
name: Yao, Yan
Publisher: name: figshare
Year: 2024
Subjects: subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Developmental Biology
subject: Science Policy
subject: Mental Health

description: Supplementary Material 2
Scalar extensions of quiver representations over $\mathbb{F}_1$
Creators: name: Kleinau, Markus
Publisher: name: arXiv
Year: 2024
Subjects: subject: Representation Theory (math.RT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: Let $V$ and $W$ be quiver representations over $\mathbb{F}_1$ and let $K$ be a field. The scalar extensions $V^K$ and $W^K$ are quiver representations over $K$ with a distinguished, very well-behaved basis. We construct a basis of $\mathrm{Hom}_{KQ}(V^K,W^K)$ generalising the well-known basis of the morphism spaces between string and tree modules. We use this basis to give a combinatorial characterisation of absolutely indecomposable representations. Furthermore, we show that indecomposable representations with finite nice length are absolutely indecomposable. This answers a question of Jun and Sistko.
description: 17 pages, comments welcome, V2: Improvements to exposition based on referee feedback, to appear in Algebras and Representation Theory
Additional file 1 of Patient-reported outcomes and healthcare resource utilization in systemic lupus erythematosus: impact of disease activity
Creators: name: Touma, Zahi
name: Costenbader, Karen H.
name: Hoskin, Ben
name: Atkinson, Christian
name: Bell, David
name: Pike, James
name: Berry, Pamela
name: Karyekar, Chetan S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 1. Patient characteristics before and after propensity score matching for physician-reported outcomes. Patients were considered to have low disease activity if they had a SLEDAI score of ≤ 4 and were receiving a glucocorticoid dose of ≤ 7.5 mg/day; patients were considered to have active disease if they had a SLEDAI score of > 4 or were receiving a glucocorticoid at a dose of > 7.5 mg/day. SLEDAI, Systemic Lupus Erythematosus Disease Activity Index; SMD, standardized mean difference.
Additional file 2 of Patient-reported outcomes and healthcare resource utilization in systemic lupus erythematosus: impact of disease activity
Creators: name: Touma, Zahi
name: Costenbader, Karen H.
name: Hoskin, Ben
name: Atkinson, Christian
name: Bell, David
name: Pike, James
name: Berry, Pamela
name: Karyekar, Chetan S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 2. Patient characteristics before and after propensity score matching for general health status and fatigue. Domains included: EQ-5D-3 L utility index, FACIT-fatigue sum score and WPAI total activity impairment. Patients were considered to have low disease activity if they had a SLEDAI score of ≤ 4 and were receiving a glucocorticoid dose of ≤ 7.5 mg/day; patients were considered to have active disease if they had a SLEDAI score of > 4 or were receiving a glucocorticoid at a dose of > 7.5 mg/day. EQ-5D-3 L, EuroQoL-5D-3 L; FACIT-fatigue, Functional Assessment of Chronic Illness Therapy-fatigue; SLEDAI, Systemic Lupus Erythematosus Disease Activity Index; SMD, standardized mean difference; WPAI, Work Productivity and Activity Impairment questionnaire
GENETIC STRUCTURE OF ROCKY MOUNTAIN ELK FROM WIND CAVE NATIONAL PARK
Creators: name: Hemmerling, Kaneesha Marie
Publisher: name: Washington State University
Year: 2023
Subjects: subject: Chronic Wasting Disease
subject: ddRAD
subject: Genotype-by-sequencing
subject: Population
subject: Rocky Mountain Elk
subject: SNP
subject: Ecology
subject: FOS: Biological sciences

description: Elk (Cervus canadensis) play an integral role in balancing ecosystems, have significant economic value, and hold cultural value across diverse groups. Diseases such as chronic wasting disease (CWD), a fatal prion disease of cervids, threaten elk populations. Improved understanding of elk genetics can contribute to disease management, may provide information integral for determining genetic trends and future directions, and may lead to identification of trait associated variants, opening the door to selection desirable for production or even disease resistance. To advance the field and provide a foundation for elk conservation genomics, sequencing and genotyping of elk is necessary. This study employed the first reported genotype-by-sequencing in elk. Single nucleotide polymorphism (SNPs) discovery was undertaken in 306 Rocky Mountain elk (Cervus canadensis nelsoni) from Wind Cave National Park (WICA), South Dakota, USA. Genetic diversity and population structure of WICA elk were analyzed as one single population and as three subpopulations, as designated by geospatial analysis in a previous study. Effective population size (Ne) was determined to range from 36-316 and tests identified 3,251 variants out of Hardy-Weinberg equilibrium. Pairwise differentiation (Fst) indicated little difference in the genetic structure between WICA subpopulations (Fst≈0.003), but principal component analysis showed weak population structure when analyzed as a total population. Analysis that included 38,583 alleles private to the subpopulations revealed distinct genetic structure by geographical location, confirming previous field observations. Measurements of observed heterozygosity indicated subpopulation A (Ho=0.645) and subpopulation B (Ho=0.658) had the higher heterozygosity compared to subpopulation C (Ho=0.60). All subpopulation heterozygosity’s were higher than the total population average (Ho=0.53). The genetic structure seen in these subpopulations is likely due to the design of the park fence. Low areas of the fence and elk dropdown gates at the western and southwestern boarder of the park allowed elk to freely cross near regions A and B, but not region C, until renovations completely enclosed the park after 2013. This recent enclosure, along with other park geographical features and efforts to reduce WICA elk population density, will require managers employ periodic genetic monitoring to ensure that genetically differentiated subpopulations do not lose standing genetic diversity.
Uncertainty in Graph Neural Networks: A Survey
Creators: name: Wang, Fangxin
name: Liu, Yuqing
name: Liu, Kay
name: Wang, Yibo
name: Medya, Sourav
name: Yu, Philip S.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Graph Neural Networks (GNNs) have been extensively used in various real-world applications. However, the predictive uncertainty of GNNs stemming from diverse sources such as inherent randomness in data and model training errors can lead to unstable and erroneous predictions. Therefore, identifying, quantifying, and utilizing uncertainty are essential to enhance the performance of the model for the downstream tasks as well as the reliability of the GNN predictions. This survey aims to provide a comprehensive overview of the GNNs from the perspective of uncertainty with an emphasis on its integration in graph learning. We compare and summarize existing graph uncertainty theory and methods, alongside the corresponding downstream tasks. Thereby, we bridge the gap between theory and practice, meanwhile connecting different GNN communities. Moreover, our work provides valuable insights into promising directions in this field.
description: 14 main pages, 4 figures, 1 table
data
Creators: name: Lagattuta, Kaitlyn
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 310208
subject: Translational and applied bioinformatics

description: The amino acid sequence of the T cell antigen receptor (TCR) varies between T cells of an individual’s immune system. Particular TCR residues nearly guarantee Mucosal-Associated Invariant T (MAIT) and Natural Killer T (NKT) cell transcriptional fates. To define how TCR sequence affects T cell fates, we analyze the paired abTCR sequence and transcriptome of 819,772 single cells. We find that hydrophobic CDR3 residues promote regulatory T cell fates in both the CD8 and CD4 lineages. Most strikingly, we find a set of TCR sequence features that promote the T cell transition from naïve to memory. We quantify the extent of these features through our TCR scoring function “TCR-mem.” Using TCR transduction experiments, we demonstrate that increased TCR-mem promotes T cell activation, even among T cells that recognize the same antigen. Our results reveal a common set of TCR sequence features that enable T cell activation and immunological memory.
sj-docx-1-his-10.1177_11786329231183317 – Supplemental material for Identifying Unique Subgroups of High-Cost Patients With Schizophrenia: A Population-Based Study Using Latent Class Analysis
Creators: name: Stewart, Andrew J
name: Patten, Scott B
name: Fiest, Kirsten M
name: Williamson, Tyler S
name: Wick, James P
name: Ronksley, Paul E
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-his-10.1177_11786329231183317 for Identifying Unique Subgroups of High-Cost Patients With Schizophrenia: A Population-Based Study Using Latent Class Analysis by Andrew J Stewart, Scott B Patten, Kirsten M Fiest, Tyler S Williamson, James P Wick and Paul E Ronksley in Health Services Insights
Effect of cation-disorder on lithium transport in halide superionic conductors
Creators: name: Zhong, Peichen
name: Gupta, Sunny
name: Deng, Bowen
name: Jun, KyuJung
name: Ceder, Gerbrand
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Li$_2$ZrCl$_6$ (LZC) is a promising solid-state electrolyte due to its affordability, moisture stability, and high ionic conductivity. We computationally investigate the role of cation disorder in LZC and its effect on Li-ion transport by integrating thermodynamic and kinetic modeling. The results demonstrate that fast Li-ion conductivity requires Li/vacancy disorder, which is dependent on the degree of Zr disorder. The high temperature required to form equilibrium Zr-disorder precludes any equilibrium synthesis processes for achieving fast Li-ion conductivity, rationalizing why only non-equilibrium synthesis methods, such as ball milling, lead to good conductivity. Our simulations show that Zr disorder lowers the Li/vacancy order-disorder transition temperature, which is necessary for creating high Li diffusivity at room temperature. These insights raise a challenge for the large-scale production of these materials and the potential for the long-term stability of their properties.
Pronouns & Gender categoriztions
Creators: name: Van Berlekom, Elli
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Social and Behavioral Sciences

description: Misgendering of non-binary people is a serious issue. It can lead to invisibility, delegitimization, and minority stress. Is misgendering primarily a question of ignorance or does it have to do with transphobia? This question is important because it suggests different strategies for reducing misgendering.
Additional file 3 of Patient-reported outcomes and healthcare resource utilization in systemic lupus erythematosus: impact of disease activity
Creators: name: Touma, Zahi
name: Costenbader, Karen H.
name: Hoskin, Ben
name: Atkinson, Christian
name: Bell, David
name: Pike, James
name: Berry, Pamela
name: Karyekar, Chetan S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Ecology
subject: FOS: Biological sciences
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 3. Patient characteristics before and after propensity score matching for work productivity and activity. Domains include: WPAI absenteeism, WPAI presenteeism, WPAI overall work impairment, lost income due to absenteeism, presenteeism, and overall work impairment. Patients were considered to have low disease activity if they had a SLEDAI score of ≤ 4 and were receiving a glucocorticoid dose of ≤ 7.5 mg/day; patients were considered to have active disease if they had a SLEDAI score of > 4 or were receiving a glucocorticoid at a dose of > 7.5 mg/day. EQ-5D-3 L, EuroQoL-5D-3 L; FACIT-fatigue, Functional Assessment of Chronic Illness Therapy-fatigue; SLEDAI, Systemic Lupus Erythematosus Disease Activity Index; SMD, standardized mean difference; WPAI, Work Productivity and Activity Impairment questionnaire.
DESIGN OF ENCAPSULATION SYSTEM FOR TEMPERATURE, LIGHT AND STORAGE STABILITY OF β-CAROTENE
Creators: name: Sivabalan, Sivapratha
Publisher: name: Washington State University
Year: 2023
Subjects: Chitosan
Degradation kinetics
Emulsions
Physicochemical stability
Thermal sterilization
β-carotene

description: This research focused on the understanding of using encapsulation as a vehicle to deliver lipophilic bioactive substance through processing temperatures and storage. Thermally stable oil-in-water emulsions were synthesized from chitosan self-aggregated particles or encapsulating β-carotene, a colored pigment with several beneficial traits for human body including pro-vitamin A activity, protection from degenerative eye disorders and antioxidant potential. β-carotene was chosen as a representative lipophilic bioactive such that the designed encapsulation system can be extended to other nutraceuticals such vitamin D, resveratrol and lycopene. For emulsion synthesis, chitosan self-aggregated particles prepared by pH modulation and oil phase consisting of β-carotene were homogenized using energy expended by an ultrasonicator. Emulsions are innately unstable systems with the potential to disintegrate into their constituent oil and aqueous phases with time but can be rendered kinetically stable for practical application. Therefore, colloidal stability of emulsions was first considered by measurement of particle size and zeta potential. Subsequently, these emulsions loaded with β-carotene were treated at 121°C using metal cell-oil bath assembly for come-up-time, 30- and 60-mins holding times and then, the loss of bioactive associated to heat treatment was assessed by quantification of β-carotene and color values L*, a* and b*. For understanding storage stability, two biopolymers, OSA starch and chitosan were utilized to prepare multilayered emulsion by electrostatic layer-by-layer deposition approach and their colloidal stability established. Subsequently, multilayered emulsions were monitored at 37°C for β-carotene retention and color change to reflect accelerated storage scenario. Oil carriers, glyceryl trioctanoate and medium chain triglyceride oil was selected such that interference from other antioxidants in the oil phase was eliminated. The potential of light exposure to influence β-carotene degradation during storage was also assessed. In addition, the degradation kinetics of the β-carotene in multilayered emulsion and bulk oil systems were identified.
description: The findings can be used to select suitable biopolymer for synthesis of emulsions with higher thermal endurance and demonstrated that encapsulation slows down the degradation of bioactive material during storage at 37°C. Therefore, encapsulated matrices can be utilized for incorporation of liposoluble nutraceuticals in foods subjected to thermal processing circumstances such as pasteurization and sterilization.
Trend: US Department of Energy, Energy Information Administration (2024-11-21). Energy Totals: Energy Prices | Cost of Fossil-Fuel Receipts at Electric Generating Plants | Average Cost of Coal Receipts at Electric Generating Plants, Monthly, 01/1973 - 07/2024. Sage Data. Sage Publishing Ltd. (Dataset). Dataset-ID: 004-022-012
Creators: name: Energy Information Administration
Publisher: name: Sage Data. Sage Publishing Ltd
Year: 2024
Subjects: Crude Oil
Fossil Fuels
Fuel Prices
Gasoline Prices
Natural Gas
Petroleum Products
Retail Prices

description: Presents monthly and annual average retail and refiner prices by sector and other cost estimates. Retail prices are the reseller cost to the end user or consumer whereas refiner prices are costs to the resellers, retailers, or end users.
Exact time-evolving scattering states in open quantum-dot systems with an interaction: Discovery of time-evolving resonant states
Creators: name: Nishino, Akinori
name: Hatano, Naomichi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study exact time-evolving many-electron states of an open double quantum-dot system with an interdot Coulomb interaction. A systematic construction of the time-evolving states for arbitrary initial conditions is proposed. For any initial states of one- and two-electron plane waves on the electrical leads, we obtain exact solutions of the time-evolving scattering states, which converge to known stationary scattering eigenstates in the long-time limit. For any initial states of localized electrons on the quantum dots, we find exact time-evolving states of a new type, which we refer to as time-evolving resonant states. In contrast to stationary resonant states, whose wave functions spatially diverge and not normalizable, the time-evolving resonant states are normalizable since their wave functions are restricted to a finite space interval due to causality. The exact time-evolving resonant states enable us to calculate the time-dependence of the survival probability of electrons on the quantum dots for the system with the linearized dispersions. It decays exponentially in time on one side of an exponential point of resonance energies while, on the other side, it oscillates during the decay as a result of the interference of the two resonance energies.
description: 31 pages, 5 figures
sj-docx-1-dhj-10.1177_20552076231185476 - Supplemental material for The relationship between media use and sports participation behavior: A meta-analysis
Creators: name: Tian, Yu
name: Yang, Pengfei
name: Zhang, Desheng
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_20552076231185476 for The relationship between media use and sports participation behavior: A meta-analysis by Yu Tian, Pengfei Yang and Desheng Zhang in DIGITAL HEALTH
Oak wilt disease may reduce the initial decay rate of dead Quercus serrata stems by altering wood-inhabiting fungal communities
Creators: name: Fukasawa, Yu
name: Kimura, Satsuki
name: Kominami, Yuji
name: Takagi, Masahiro
name: Matsukura, Kimiyo
name: Kobayashi, Makoto
name: Suzuki, Satoshi
name: Takemoto, Shuhei
name: Tanaka, Nobuaki
name: Jomura, Mayuko
name: Kadowaki, Kohmei
name: Ushio, Masayuki
name: Kinuura, Haruo
name: Yamashita, Satoshi
Publisher: name: Zenodo
Year: 2024
Subjects: Coarse woody debris
Quercus serrata
Fungi
Oak wilt
forest dieback

description: Oak wilt causes severe dieback of Quercus serrata, a dominant tree species in the lowlands across Japan. Here, we evaluated the effects of oak wilt on the wood-inhabiting fungal community and the decay rate of deadwood using a field monitoring experiment. We demonstrated the fungal metabarcoding community from 1147 wood samples obtained from 120 experimental logs from three forest sites at five different time points during the initial 1.5 years of the experiment. Death due to wilt significantly influenced the fungal community composition and reduced fungal diversity, probably due to the dominance of a limited number of species. The Operational taxonomic unit (OTU) richness, occurrence frequency, and DNA copy number of white rot fungi were also enhanced on the logs killed by wilt, depending on the sites. Structural equation modeling suggested that the wilt-initiated changes in the fungal community reduced the decay rate of oak logs. Temperature and wood moisture also affected the fungal community and log decomposition. These results suggested that, in addition to the direct effect of climate, oak wilt indirectly affects log decomposition via structuring fungal community. Continuous monitoring is essential to evaluate the longer-term effects of oak wilt on the fungal decomposition of wood.
description: Funding provided by: Japan Society for the Promotion of ScienceROR ID: https://ror.org/00hhkn466Award Number: 17H03823
Additional file 1 of Integrated analysis of the role of PR/SET domain 14 in gastric cancer
Creators: name: Li, Xiao
name: Wang, Cong
name: Wang, Youcai
name: Chen, Xiaobing
name: Li, Zhi
name: Wang, Jianwei
name: Liu, Yingjun
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Supplementary Material 1
Trending Integrated Leakage-Rate Test Results
Creators: name: Androuet, Cedric
name: Stoyanov, George
name: Nitheanandan, Thambiayah (Nithy)
Publisher: name: figshare
Year: 2022
Subjects: subject: Nuclear Engineering
subject: 91506 Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage)
subject: FOS: Other engineering and technologies

description: Existing Canadian Nuclear Power Plants (NPPs) are aging, with 19 active reactors being in operation for 35 to 50 years. To ensure their leak tightness, concrete containment structures of NPPs shall be regularly leakage-rate tested in accordance with Integrated Leakage Rate Test (ILRT) requirements as detailed in CSA N287.7 and CNSC regulatory documents.
 Concrete containment structures shall be subjected to ILRTs to ensure their leak tightness, either every 6 years or conforming to a performance-based test interval agreed upon between the licensee and the Authority Having Jurisdiction (AHJ), i.e. the CNSC. To establish a performance-based ILRT interval option, in addition to inspection, testing, and aging management requirements, demonstration shall be made to the AHJ that the leakage-rate trends, maintained from commissioning to the most recent outage ILRT, are stable over at least the two most recent (post-commissioning) outage tests. Stable is defined in CSA N287.7-17 as no statistically significant increase that would cause the acceptance leakage limit to be exceeded if it changed in a linear fashion over the next test interval.
 The stability requirements mentioned above may be subject to interpretation. This paper discusses various options for trending leakage-rate test results and recommends a multi-step approach.