bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilization of electronic health record sex and gender demographic fields: a metadata and mixed methods analysis
Authors: Foer Dinah , Rubins David M , Nguyen Vi , McDowell Alex , Quint Meg , Kellaway Mitchell , Reisner Sari L , Zhou Li , Bates David W 
Published: February 2024

Abstract

Objectives
Despite federally mandated collection of sex and gender demographics in the electronic health record (EHR), longitudinal assessments are lacking. We assessed sex and gender demographic field utilization using EHR metadata.

Materials and methods
Patients ≥18 years of age in the Mass General Brigham health system with a first Legal Sex entry (registration requirement) between January 8, 2018 and January 1, 2022 were included in this retrospective study. Metadata for all sex and gender fields (Legal Sex, Sex Assigned at Birth [SAAB], Gender Identity) were quantified by completion rates, user types, and longitudinal change. A nested qualitative study of providers from specialties with high and low field use identified themes related to utilization.

Results
1 576 120 patients met inclusion criteria: 100% had a Legal Sex, 20% a Gender Identity, and 19% a SAAB; 321 185 patients had field changes other than initial Legal Sex entry. About 2% of patients had a subsequent Legal Sex change, and 25% of those had ≥2 changes; 20% of patients had ≥1 update to Gender Identity and 19% to SAAB. Excluding the first Legal Sex entry, administrators made most changes (67%) across all fields, followed by patients (25%), providers (7.2%), and automated Health Level-7 (HL7) interface messages (0.7%). Provider utilization varied by subspecialty; themes related to systems barriers and personal perceptions were identified.

Discussion
Sex and gender demographic fields are primarily used by administrators and raise concern about data accuracy; provider use is heterogenous and lacking. Provider awareness of field availability and variable workflows may impede use.

Conclusion
EHR metadata highlights areas for improvement of sex and gender field utilization.
GPCR signaling bias: an emerging framework for opioid drug development
Authors: Kise Ryoji , Inoue Asuka 
Published: February 2024

Abstract
Biased signaling, also known as functional selectivity, has emerged as an important concept in drug development targeting G-protein-coupled receptors (GPCRs). Drugs that provoke biased signaling are expected to offer an opportunity for enhanced therapeutic effectiveness with minimized side effects. Opioid analgesics, whilst exerting potent pain-relieving effects, have become a social problem owing to their serious side effects. For the development of safer pain medications, there has been extensive exploration of agonists with a distinct balance of G-protein and β-arrestin (βarr) signaling. Recently, several approaches based on protein–protein interactions have been developed to precisely evaluate individual signal pathways, paving the way for the comprehensive analysis of biased signals. In this review, we describe an overview of bias signaling in opioid receptors, especially the μ-opioid receptor (MOR), and how to evaluate signaling bias in the GPCR field. We also discuss future directions for rational drug development through the integration of diverse signal datasets.
Defining the key clinician skills and attributes for competency in managing patients with osteoporosis and fragility fractures
Authors: Jackson Lesley E , Saag Kenneth G , Johnson Sindhu R , Danila Maria I 
Published: February 2024

Abstract
Osteoporosis and fragility fractures are managed by clinicians across many medical specialties. The key competencies of clinicians delivering bone health care have not been systematically established. We aimed to develop a decision rule to define the threshold of adequate skills and attributes associated with clinical competency in bone health for a clinician serving as a referral source for bone health care.
Using a modified-Delphi method, we invited clinicians with expertise in treating osteoporosis and representatives of patient advocacy groups focused on bone health to create a list of desirable characteristics of a clinician with bone health competency. Characteristics were defined as “attributes” with “levels” within each attribute. Participants prioritized levels by perceived importance. To identify the cut points for defining adequate competency, participants next ranked 20 hypothetical clinicians defined by various levels of attributes from highest to lowest likelihood of having adequate bone health competency. Lastly, we conducted a discrete choice experiment (DCE) to generate a weighted score for each attribute/level. The threshold for competency was a priori determined as the total weighted score at which ≥70% of participants agreed a clinician had adequate bone health competency.
Thirteen participants generated lists of desirable characteristics, and 30 participants ranked hypothetical scenarios and participated in the DCE. The modified-Delphi exercise generated 108 characteristics, which were reduced to 8 categories with 20 levels with associated points. The maximum possible score was 25 points. A summed threshold score of &gt;12 points classified a clinician as having adequate bone health competency.
We developed a numeric additive decision rule to define clinicians across multiple specialties as having adequate competency in managing bone health/osteoporosis. Our data provide a rigorously defined criteria for a clinician with competency in bone health and can be used to quantitate the skills of clinicians participating in bone health research and clinical care.
Social conditions facilitate water conservation in a solitary bee
Authors: Ostwald Madeleine M , Venegas Valentina A , Seltmann Katja C 
Published: February 2024

Abstract
Climatic stressors are important drivers in the evolution of social behavior. Social animals tend to thrive in harsh and unpredictable environments, yet the precise benefits driving these patterns are often unclear. Here, we explore water conservation in forced associations of a solitary bee (Melissodes tepidus timberlakei Cockerell, 1926) to test the hypothesis that grouping can generate synergistic physiological benefits in an incipient social context. Paired bees displayed mutual tolerance and experienced reduced water loss relative to singleton bees when exposed to acute low-humidity stress, with no change in activity levels. While the mechanism underlying these benefits remains unknown, social advantages like these can facilitate the evolution of cooperation among nonrelatives and offer important insights into the social consequences of climate change.
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition
Authors: Chen Elynn Y , Xia Dong , Cai Chencheng , Fan Jianqing 
Published: February 2024

Abstract
This paper introduces a general framework of Semi-parametric TEnsor Factor Analysis (STEFA) that focuses on the methodology and theory of low-rank tensor decomposition with auxiliary covariates. Semi-parametric TEnsor Factor Analysis models extend tensor factor models by incorporating auxiliary covariates in the loading matrices. We propose an algorithm of iteratively projected singular value decomposition (IP-SVD) for the semi-parametric estimation. It iteratively projects tensor data onto the linear space spanned by the basis functions of covariates and applies singular value decomposition on matricized tensors over each mode. We establish the convergence rates of the loading matrices and the core tensor factor. The theoretical results only require a sub-exponential noise distribution, which is weaker than the assumption of sub-Gaussian tail of noise in the literature. Compared with the Tucker decomposition, IP-SVD yields more accurate estimators with a faster convergence rate. Besides estimation, we propose several prediction methods with new covariates based on the STEFA model. On both synthetic and real tensor data, we demonstrate the efficacy of the STEFA model and the IP-SVD algorithm on both the estimation and prediction tasks.
Molecular epidemiology and antimicrobial resistance of vaginal Candida glabrata isolates in Namibia
Authors: Dunaiski Cara M , Kock Marleen M , Chan Wai Yin , Ismail Arshad , Peters Remco P H 
Published: February 2024

Abstract
Candida glabrata is the most common non-albicans Candida species that causes vulvovaginal candidiasis (VVC). Given the intrinsically low susceptibility of C. glabrata to azole drugs, investigations into C. glabrata prevalence, fungal susceptibility profile, and molecular epidemiology are necessary to optimise the treatment of VVC. This molecular epidemiological study was conducted to determine antifungal drug profile, single nucleotide polymorphisms (SNPs) associated with phenotypic antifungal resistance and epidemic diversity of C. glabrata isolates from women with VVC in Namibia. Candida glabrata isolates were identified using phenotypic and molecular methods. Antifungal susceptibility of strains was determined for fluconazole, itraconazole, amphotericin B, and anidulafungin. Whole genome sequencing was used to determine SNPs in antifungal resistance genes and sequence type (ST) allocation. Among C. glabrata isolates, all (20/20; 100%) exhibited phenotypic resistance to the azole class antifungal drug, (fluconazole), and phenotypic susceptibility to the polyene class (amphotericin B), and the echinocandins (anidulafungin). Non-synonymous SNPs were identified in antifungal resistance genes of all fluconazole-resistant C. glabrata isolates including ERG6 (15%), ERG7 (15%), CgCDR1 (25%), CgPDR1 (60%), SNQ2 (10%), FKS1 (5.0%), FKS2 (5.0%), CgFPS1 (5.0%), and MSH2 (15%). ST15 (n = 8/20, 40%) was predominant. This study provides important insight into phenotypic and genotypic antifungal resistance across C. glabrata isolates from women with VVC in Namibia. In this study, azole resistance is determined by an extensive range of SNPs, while the observed polyene and echinocandin resistance-associated SNPs despite phenotypic susceptibility require further investigation.
The RATT PARROT: serendipitous discovery of a peculiarly scintillating pulsar in MeerKAT imaging observations of the Great Saturn – Jupiter Conjunction of 2020. I. Dynamic imaging and data analysis
Authors: Smirnov O M , Stappers B W , Tasse C , Bester H L , Bignall H , Walker M A , Caleb M , Rajwade K M , Buchner S , Woudt P , Ivchenko M , Roth L , Noordam J E , Camilo F 
Published: February 2024

ABSTRACT
We report on a radiopolarimetric observation of the Saturn–Jupiter Great Conjunction of 2020 using the MeerKAT L-band system, initially carried out for science verification purposes, which yielded a serendipitous discovery of a pulsar. The radiation belts of Jupiter are very bright and time variable: coupled with the sensitivity of MeerKAT, this necessitated development of dynamic imaging techniques, reported on in this work. We present a deep radio ‘movie’ revealing Jupiter’s rotating magnetosphere, a radio detection of Callisto, and numerous background radio galaxies. We also detect a bright radio transient in close vicinity to Saturn, lasting approximately 45 min. Follow-up deep imaging observations confirmed this as a faint compact variable radio source, and yielded detections of pulsed emission by the commensal MeerTRAP search engine, establishing the object’s nature as a radio emitting neutron star, designated PSR J2009−2026. A further observation combining deep imaging with the PTUSE pulsar backend measured detailed dynamic spectra for the object. While qualitatively consistent with scintillation, the magnitude of the magnification events and the characteristic time–scales are odd. We are tentatively designating this object a pulsar with anomalous refraction recurring on odd time-scales (PARROT). As part of this investigation, we present a pipeline for detection of variable sources in imaging data, with dynamic spectra and light curves as the products, and compare dynamic spectra obtained from visibility data with those yielded by PTUSE. We discuss MeerKAT’s capabilities and prospects for detecting more of such transients and variables.
Detection of an intranight optical hard lag with colour variability in blazar PKS 0735+178
Authors: McCall Callum , Jermak Helen E , Steele Iain A , Kobayashi Shiho , Knapen Johan H , Sánchez-Alarcón Pablo M 
Published: February 2024

ABSTRACT
Blazars are a highly variable subclass of active galactic nuclei that have been observed to vary significantly during a single night. This intranight variability remains a debated phenomenon, with various mechanisms proposed to explain the behaviour including jet energy density evolution or system geometric changes. We present the results of an intranight optical monitoring campaign of four blazars: TXS 0506+056, OJ287, PKS 0735+178, and OJ248 using the Carlos Sánchez Telescope. We detect significant but colourless behaviour in OJ287 and both bluer- and redder-when-brighter colour trends in PKS 0735+178. Additionally, the g band shows a lag of $\sim 10\, \mathrm{min}$ with respect to the r, i, zs bands for PKS 0735+178 on 2023 January 17. This unexpected hard lag in PKS 0735+178 is not in accordance with the standard synchrotron shock cooling model (which would predict a soft lag) and instead suggests the variability may be a result of changes in the jet’s electron energy density distribution, with energy injection from Fermi acceleration processes into a post-shocked medium.
Research on establishing a joint time-scale of pulsar time and atomic time based on a wavelet analysis method
Authors: Zhu Xingzhi , Zhang Zhehao , Zhao Chengshi , Li Bian , Tong Minglei , Gao Yuping , Yang Tinggao 
Published: February 2024

ABSTRACT
Pulsar time has different physical mechanisms from atomic time, and these two time-scales are complementary in terms of stability performance. The joint timekeeping of pulsar and atomic time is currently an important application direction. Our research utilizes a wavelet analysis method to perform multiscale analysis of time signals in both the time and frequency domains, and assigns corresponding weights to different frequency bands for synthesis, which solves the problem of balancing long- and short-term stability in unified weighted synthesis. In this paper, a joint time-scale APT (atomic pulsar time) is obtained by a fusion of pulsar ensemble time (EPT) and atomic time TA(NTSC) (AT) based on wavelet analysis. The results show that APT effectively integrates the stability advantages of both EPT and AT, and the short-term stability of APT at 0.4 yr is consistent with that of AT, reaching 5.6 × 10−15 as evaluated by σz variance. The stability of APT remains consistent with EPT after 3.2 yr, and the long-term stability at 13.1 yr is close to 1.3 × 10−16, perfectly retaining the excellent long-term stability characteristics of pulsar time. The root mean square of APT’s clock difference relative to TT(BIPM) is much lower than that of TA(NTSC). Moreover, we propose ways to improve the stability of APT through experimental comparisons. The results indicate that APT has the potential to serve as a reference for steering UTC(NTSC) in the future, improving the long-term timekeeping capability of local atomic time in China, thereby comprehensively improving the stability and reliability of China’s time reference.
Prospects for detecting neutron star–white dwarf mergers with decihertz gravitational-wave observatories
Authors: Kang Yacheng , Liu Chang , Zhu Jin-Ping , Gao Yong , Shao Lijing , Zhang Bing , Sun Hui , Yin Yi-Han Iris , Zhang Bin-Bin 
Published: February 2024

ABSTRACT
Based on different neutron star–white dwarf (NS–WD) population models, we investigate the prospects of gravitational-wave (GW) detections for NS–WD mergers, with the help of early warnings from two space-borne decihertz GW observatories, DO-Optimal and DECIGO. We not only give quick assessments of the GW detection rates for NS–WD mergers with the two decihertz GW detectors, but also report systematic analyses on the characteristics of GW-detectable merger events using the method of Fisher matrix. With a sufficient 1-d early-warning time, the yearly GW detection number for DO-Optimal is in the range of (1.5–1.9) × 103, while it is (3.3–4.6) × 104 for DECIGO. More importantly, our results show that most NS–WD mergers can be localized with an uncertainty of $\mathcal {O}(10^{-2})\, \mathrm{deg}^2$. Given the NS–WD merger as a possible origin for a peculiar long-duration gamma-ray burst, GRB 211211A, followed with kilonova-like emissions, we further suggest that the GW early-warning detection would allow future electromagnetic telescopes to get prepared to follow up transients after some special NS–WD mergers. Based on our analyses, we emphasize that such a feasible ‘wait-for’ pattern can help to firmly identify the origin of GRB 211211A-like events in the future and bring excellent opportunities for the multimessenger astronomy.
Dust enrichment in the circum-galactic medium
Authors: Otsuki Mau , Hirashita Hiroyuki 
Published: February 2024

ABSTRACT
To understand the origin of dust in the circum-galactic medium (CGM), we develop a dust enrichment model. We describe each of the central galaxy and its CGM as a single zone, and consider the mass exchange between them through galactic inflows and outflows. We calculate the evolution of the gas, metal, and dust masses in the galaxy and the CGM. In the galaxy, we include stellar dust production and interstellar dust processing following our previous models. The dust in the galaxy is transported to the CGM via galactic outflows, and it is further processed by dust destruction (sputtering) in the CGM. We parametrize the time-scale or efficiency of each process and investigate the effect on the dust abundance in the CGM. We find that the resulting dust mass is sensitive to the dust destruction in the CGM, and the dust supply from galactic outflows, both of which directly regulate the dust abundance in the CGM. The inflow time-scale also affects the dust abundance in the CGM because it determines the gas mass evolution (thus, the star formation history) in the galaxy. The dust abundance in the CGM, however, is insensitive to stellar dust formation in the galaxy at later epochs because the dust production is dominated by dust growth in the interstellar medium. We also find that the resulting dust mass in the CGM is consistent with the value derived from a large sample of SDSS galaxies.
Effective viscosity, resistivity, and Reynolds number in weakly collisional plasma turbulence
Authors: Yang Yan , Matthaeus William H , Oughton Sean , Bandyopadhyay Riddhi , Pecora Francesco , Parashar Tulasi N , Roytershteyn Vadim , Chasapis Alexandros , Shay Michael A 
Published: February 2024

ABSTRACT
We examine dissipation and energy conversion in weakly collisional plasma turbulence, employing in situ observations from the Magnetospheric Multiscale mission and kinetic particle-in-cell simulations of proton–electron plasma. A previous result indicated the presence of viscous-like and resistive-like scaling of average energy conversion rates – analogous to scalings characteristic of collisional systems. This allows for extraction of collisional-like coefficients of effective viscosity and resistivity, and thus also determination of effective Reynolds numbers based on these coefficients. The effective Reynolds number, as a measure of the available bandwidth for turbulence to populate various scales, links turbulence macroscale properties with kinetic plasma properties in a novel way.
Evaluation and significance of a digital assistant for patient history-taking and physical examination in telemedicine
Authors: Verma Neha , Buch Bimal , Pandya R S , Taralekar Radha , Masand Ishita , Rangparia Hardik , Katira J M , Acharya Soumyadipta 
Published: February 2024

Introduction
Assisted history-taking systems can be used in provider-to-provider teleconsultations to task-shift the collection of evidence-based medical history and physical exam information to a frontline health worker. We developed such a task-shifting digital assistant, called ‘Ayu’, for nurses in rural India to collect clinical information from a patient and share it with a remote doctor to arrive at an accurate diagnosis and triage decision.

Materials & Methods
We evaluated the ability of the task-shifting digital assistant to collect a comprehensive patient history by using 190 standardized patient case studies and evaluating the information recall of the assistant by a skilled clinician. Following this, we tested the ability of nurses to use the system by training and evaluating the system’s accuracy when used by 19 nurses in rural Gujarat, India. We also measured the diagnostic and triage accuracy based on the generated history note. Finally, we evaluated the system’s acceptability by using the Technology Acceptance Model framework.

Results
Ayu could capture 65% of patient history information and 42% of physical exam information from patient case studies. When used by nurses, the mean accuracy of the generated clinical note was 7.71 ± 2.42. Using the information collected by a nurse using Ayu, a primary care physician could arrive at the correct diagnosis in 74% of cases, and correct triage decision in 88% of cases. Overall, we saw a high acceptability from nurses to use the system.

Conclusions
Ayu can capture an acceptable proportion of clinical information and can aid in collecting an evidence-based medical history by task-shifting some of the early investigational steps. Further development of Ayu to increase its information retrieval ability and ease of use by health workers is needed.