bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classical relativistic electron-field dynamics: Hamiltonian approach to radiation reaction
Authors: Álvarez-Estrada R F , Pastor I , Roso L , Castejón F 
Published: November 2023

Abstract
Motivated by the renewed interest due to the presently available extreme light sources, the dynamics of a single classical relativistic (spinless) extended electron interacting with a classical electromagnetic field (an incoming radiation and the field radiated by the electron) is revisited. The field is treated in Lorentz gauge, with the Lorentz condition. By assumption, there is a crucial finite cut-off k
max on the magnitude of any wavevector contributing to the field (preventing a point electron) and, for a simple formulation, the initial conditions for particle and fields are given in the infinitely remote past. In an infinite three-dimensional vacuum and in an inertial system, Hamilton’s dynamical equations for the particle and the complex field amplitudes acting as canonical variables (a's) yield an exact Lorentz force equation for the former, that includes the incoming radiation and an exact radiation reaction force F

RR
due to the field radiated by the electron. Uniform motion is obtained as a test of consistency. Based upon numerical computations, some approximations on F

RR
are given. A covariant formulation is also presented.
Liposuction Complications in the Outpatient Setting: A National Analysis of 246,119 Cases in Accredited Ambulatory Surgery Facilities
Authors: Valentine Lauren , Alvarez Angelica Hernandez , Weidman Allan A , Foppiani Jose , Hassell Natalie E , Elmer Nicholas , Hwang Paul , Kaul Sumedh , Rosenblatt William , Lin Samuel J 
Published: November 2023

Abstract

Background
Suction lipectomy (liposuction) is a popular cosmetic surgical procedure performed in the United States, but little has been documented regarding perioperative complications due to its outpatient nature.

Objectives
This cross-sectional study aims to analyze the most common complications that accompany liposuction-related procedures and importantly estimate the total complication rate occurring at ambulatory surgical facilities.

Methods
Adult patients who experienced liposuction-related complications from 2019 to 2021 were identified in the reporting database of the global surgery accreditation authority, the American Association for Accreditation of Ambulatory Surgery Facilities (QUAD A). Patients were then divided by complication type and procedure location. Demographics and facility-specific variables were analyzed. Descriptive statistics were performed.

Results
Overall, 984 patients were included, with a mean age of 44 years (interquartile range [IQR] 37-53) and a median BMI of 28.7 kg/m2 (IQR 25.7-32.2). The overall confirmed complication rate was found to be 0.40% (984/246,119). Unplanned emergency department presentation was the most common complication overall (24%). Wound disruption was associated with the longest median procedure length (261 min), and venous thromboembolism was associated with the highest median BMI (30.1 kg/m2). The Southeast had the most complications (431), which accounted for 13/21 deaths (61.9%). Out of all complications, death was associated with the highest average annual case volume (241).

Conclusions
Procedures that involve liposuction are associated with a variety of medical and surgical complications. Given the high frequency and variability in how liposuction is performed, a thorough assessment of complications is critical to improve the safety of this procedure.

Level of Evidence: 3
MedicaidJS: a FAIR approach to real-time drug analytics
Authors: Agarwal Kunaal , Kim Hae Rin , Almeida Jonas S , Sandoval Lorena 
Published: November 2023

Abstract

Motivation
As prescription drug prices have drastically risen over the past decade, so has the need for real-time drug tracking resources. In spite of increased public availability to raw data sources, individual drug metrics remain concealed behind intricate nomenclature and complex data models. Some web applications, such as GoodRX, provide insight into real-time drug prices but offer limited interoperability. To overcome both obstacles we pursued the direct programmatic operation of the stateless Application Programming interfaces (HTTP REST APIs) maintained by the Food and Drug Administration (FDA), Medicaid, and National Library of Medicine. These data-intensive resources represent an opportunity to develop Software Development Kits (SDK) to streamline drug metrics without downloads or installations, in a manner that addresses the FAIR principles for stewardship in scientific data—Findability, Accessibility, Interoperability, and Reusability. These principles provide a guideline for continual stewardship of scientific data.

Results
MedicaidJS SDK was developed to orchestrate API calls to three complementary data resources: Medicaid (data.medicaid.gov), Food and Drug Administration (open.fda.gov), and the National Library of Medicine RxNorm (lhncbc.nlm.nih.gov/RxNav). MedicaidJS synthesizes response data from each platform into a zero-footprint JavaScript modular library that provides data wrangling, analysis, and generation of embeddable interactive visualizations. The SDK is served on github with live examples on observableHQ notebooks. It is freely available and can be embedded into web applications as modules returning structured JSON data with standardized identifiers.

Availability and implementation
Open source code publicly available at https://github.com/episphere/medicaid, live at episphere.github.io/medicaid, supplementary interactive Observable Notebooks at observablehq.com/@medicaidsdk/medicaidsdk.
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model
Authors: Fang Yitian , Jiang Yi , Wei Leyi , Ma Qin , Ren Zhixiang , Yuan Qianmu , Wei Dong-Qing 
Published: November 2023

Abstract

Motivation
Identifying the functional sites of a protein, such as the binding sites of proteins, peptides, or other biological components, is crucial for understanding related biological processes and drug design. However, existing sequence-based methods have limited predictive accuracy, as they only consider sequence-adjacent contextual features and lack structural information.

Results
In this study, DeepProSite is presented as a new framework for identifying protein binding site that utilizes protein structure and sequence information. DeepProSite first generates protein structures from ESMFold and sequence representations from pretrained language models. It then uses Graph Transformer and formulates binding site predictions as graph node classifications. In predicting protein–protein/peptide binding sites, DeepProSite outperforms state-of-the-art sequence- and structure-based methods on most metrics. Moreover, DeepProSite maintains its performance when predicting unbound structures, in contrast to competing structure-based prediction methods. DeepProSite is also extended to the prediction of binding sites for nucleic acids and other ligands, verifying its generalization capability. Finally, an online server for predicting multiple types of residue is established as the implementation of the proposed DeepProSite.

Availability and implementation
The datasets and source codes can be accessed at https://github.com/WeiLab-Biology/DeepProSite. The proposed DeepProSite can be accessed at https://inner.wei-group.net/DeepProSite/.
Familial inference: tests for hypotheses on a family of centres
Authors: Thompson Ryan , Forbes Catherine S , MacEachern Steven N , Peruggia Mario 
Published: November 2023

Summary
Statistical hypotheses are translations of scientific hypotheses into statements about one or more distributions, often concerning their centre. Tests that assess statistical hypotheses of centre implicitly assume a specific centre, e.g., the mean or median. Yet, scientific hypotheses do not always specify a particular centre. This ambiguity leaves the possibility for a gap between scientific theory and statistical practice that can lead to rejection of a true null. In the face of replicability crises in many scientific disciplines, significant results of this kind are concerning. Rather than testing a single centre, this paper proposes testing a family of plausible centres, such as that induced by the Huber loss function. Each centre in the family generates a testing problem, and the resulting family of hypotheses constitutes a familial hypothesis. A Bayesian nonparametric procedure is devised to test familial hypotheses, enabled by a novel pathwise optimization routine to fit the Huber family. The favourable properties of the new test are demonstrated theoretically and experimentally. Two examples from psychology serve as real-world case studies.
What do Hyperhidrosis Quality of Life Index (HidroQoL©) scores mean? Transferring science into practice by establishing a score banding system
Authors: Donhauser Theresa , Gabes Michaela , Özkan Ebru , Masur Clarissa , Kamudoni Paul , Salek Sam , Abels Christoph , Apfelbacher Christian 
Published: November 2023

Abstract

Background
The Hyperhidrosis Quality of Life Index (HidroQoL©) is a measure of quality of life (QoL) impacts in hyperhidrosis (HH).

Objectives
We aimed to establish score banding systems for the HidroQoL total score for specific contexts representing different severity/impact categories by using the Dermatology Life Quality Index (DLQI) and the Hyperhidrosis Disease Severity Scale (HDSS) as anchors, including data from 357 patients from a phase III clinical trial.

Methods
We used the HDSS, the established DLQI score bands and two single items (items 5 and 7) of the DLQI as anchors for the creation of banding systems for the HidroQoL. These anchors were chosen via consensus among an expert group according to relevance to patient experience. Due to the distribution of the HDSS and the single DLQI item 7, receiver operating characteristic curves were computed in order to create an optimal cut-off value of the HidroQoL total score. For the DLQI banding system and the single DLQI item 5, we created a banding system for the HidroQoL based on the distribution of their different categories.

Results
A score of 30 and greater is proposed as the cut-off value for sweating that ‘always interferes in daily activities’, based on the HDSS as anchor. In terms of overall skin QoL effects, score bands of 0–6, 7–18, 19–25, 26–32 and 33–36 represent ‘no effect’, ‘small effect’, ‘moderate effect’, ‘very large effect’ and ‘extremely large effect’ on the patient’s life, respectively.

Conclusions
In this study, we propose different banding systems for four different contexts: skin-specific QoL (DLQI banding), HH severity (HDSS), working and studying (single DLQI item 7) and social and leisure activities (single DLQI item 5). These banding systems and cut-off values can be used in clinical research and practice to place the patients in different severity categories.
Characterizing neurocognitive impairments in Parkinson’s disease with mobile EEG when walking and stepping over obstacles
Authors: Mustile Magda , Kourtis Dimitrios , Edwards Martin G , Ladouce Simon , Volpe Daniele , Pilleri Manuela , Pelosin Elisa , Learmonth Gemma , Donaldson David I , Ietswaart Magdalena 
Published: November 2023

Abstract
The neural correlates that help us understand the challenges that Parkinson’s patients face when negotiating their environment remain under-researched. This deficit in knowledge reflects the methodological constraints of traditional neuroimaging techniques, which include the need to remain still. As a result, much of our understanding of motor disorders is still based on animal models. Daily life challenges such as tripping and falling over obstacles represent one of the main causes of hospitalization for individuals with Parkinson’s disease. Here, we report the neural correlates of naturalistic ambulatory obstacle avoidance in Parkinson’s disease patients using mobile EEG. We examined 14 medicated patients with Parkinson’s disease and 17 neurotypical control participants. Brain activity was recorded while participants walked freely, and while they walked and adjusted their gait to step over expected obstacles (preset adjustment) or unexpected obstacles (online adjustment) displayed on the floor. EEG analysis revealed attenuated cortical activity in Parkinson’s patients compared to neurotypical participants in theta (4–7 Hz) and beta (13–35 Hz) frequency bands. The theta power increase when planning an online adjustment to step over unexpected obstacles was reduced in Parkinson’s patients compared to neurotypical participants, indicating impaired proactive cognitive control of walking that updates the online action plan when unexpected changes occur in the environment. Impaired action planning processes were further evident in Parkinson’s disease patients’ diminished beta power suppression when preparing motor adaptation to step over obstacles, regardless of the expectation manipulation, compared to when walking freely. In addition, deficits in reactive control mechanisms in Parkinson’s disease compared to neurotypical participants were evident from an attenuated beta rebound signal after crossing an obstacle. Reduced modulation in the theta frequency band in the resetting phase across conditions also suggests a deficit in the evaluation of action outcomes in Parkinson’s disease. Taken together, the neural markers of cognitive control of walking observed in Parkinson’s disease reveal a pervasive deficit of motor–cognitive control, involving impairments in the proactive and reactive strategies used to avoid obstacles while walking. As such, this study identified neural markers of the motor deficits in Parkinson’s disease and revealed patients’ difficulties in adapting movements both before and after avoiding obstacles in their path.
Altered brain function in classical trigeminal neuralgia patients: ALFF, ReHo, and DC static- and dynamic-frequency study
Authors: Ge Xiuhong , Wang Luoyu , Yan Juncheng , Pan Lei , Ye Haiqi , Zhu Xiaofen , Feng Qi , Chen Bing , Du Quan , Yu Wenhua , Ding Zhongxiang 
Published: November 2023

Abstract
The present study aimed to clarify the brain function of classical trigeminal neuralgia (CTN) by analyzing 77 CTN patients and age- and gender-matched 73 healthy controls (HCs) based on three frequency bands of the static and dynamic amplitude of low-frequency fluctuation, regional homogeneity, and degree centrality (sALFF, sReHo, sDC, dALFF, dReHo, and dDC). Compared to HCs, the number of altered brain regions was different in three frequency bands, and the classical frequency band was most followed by slow-4 in CTN patients. Cerrelellum_8_L (sReHo), Cerrelellum_8_R (sDC), Calcarine_R (sDC), and Caudate_R (sDC) were found only in classical frequency band, while Precuneus_L (sALFF) and Frontal_Inf_Tri_L (sReHo) were found only in slow-4 frequency band. Except for the above six brain regions, the others overlapped in the classical and slow-4 frequency bands. CTN seriously affects the mental health of patients, and some different brain regions are correlated with clinical parameters. The static and dynamic indicators of brain function were complementary in CTN patients, and the changing brain regions showed frequency specificity. Compared to slow-5 frequency band, slow-4 is more consistent with the classical frequency band, which could be valuable in exploring the pathophysiology of CTN.
Do Celebrity Endorsements Matter? A Twitter Experiment Promoting Vaccination in Indonesia
Authors: Alatas Vivi , Chandrasekhar Arun G , Mobius Markus , Olken Benjamin A , Paladines Cindy 
Published: November 2023

Abstract
Do celebrity endorsements matter? And if so, how can celebrities communicate effectively? We conduct a nationwide Twitter experiment in Indonesia promoting vaccination. Celebrity messages are 72% more likely to be passed on or liked than similar messages without a celebrity’s imprimatur. In total, 66% of the celebrity effect comes from authorship, compared to passing on messages. Citing external medical sources decreases retweets by 27%. Phone surveys show that those randomly exposed to messaging have fewer incorrect beliefs and report more vaccination among friends and neighbours. The results can inform public health campaigns and celebrity public service more generally.
A LlWRKY33-LlHSFA4-LlCAT2 module confers resistance to Botrytis cinerea in lily
Authors: Ding Liping , Wu Ze , Xiang Jun , Cao Xing , Xu Sujuan , Zhang Yinyi , Zhang Dehua , Teng Nianjun 
Published: November 2023

Abstract
Gray mold caused by Botrytis cinerea is one of the major threats in lily production. However, limited information is available about the underlying defense mechanism against B. cinerea in lily. Here, we characterized a nuclear-localized class A heat stress transcription factor (HSF)-LlHSFA4 from lily (Lilium longiflorum), which positively regulated the response to B. cinerea infection. LlHSFA4 transcript and its promoter activity were increased by B. cinerea infection in lily, indicating its involvement in the response to B. cinerea. Virus-induced gene silencing (VIGS) of LlHSFA4 impaired the resistance of lily to B. cinerea. Consistent with its role in lily, overexpression of LlHSFA4 in Arabidopsis (Arabidopsis thaliana) enhanced the resistance of transgenic Arabidopsis to B. cinerea infection. Further analysis showed that LlWRKY33 directly activated LlHSFA4 expression. We also found that both LlHSFA4 and LlWRKY33 positively regulated plant response to B. cinerea through reducing cell death and H2O2 accumulation and activating the expression of the reactive oxygen species (ROS) scavenging enzyme gene LlCAT2 (Catalase 2) by binding its prompter, which might contribute to reducing H2O2 accumulation in the infected area. Taken together, our data suggested that there may be a LlWRKY33-LlHSFA4-LlCAT2 regulatory module which confers B. cinerea resistance via reducing cell death and the ROS accumulation.
Serratia marcescens enzyme SME-2 isolated from sputum in New Zealand
Authors: Creighton Julie , Anderson Trevor , Howard Julia 
Published: November 2023

Abstract

Introduction
The Serratia marcescens enzymes (SMEs) are chromosomally encoded Ambler Class A carbapenem-hydrolysing β-lactamases, which distinctively express resistance to carbapenems while remaining susceptible to extended-spectrum cephalosporins. Global reports of SMEs are infrequent. Here we describe the isolation of an SME-2-producing S. marcescens from the sputum of a patient who was hospitalized at Christchurch Hospital, New Zealand.

Methods
An immunosuppressed asthmatic patient who presented with shortness of breath and hypoxia grew S. marcescens from a sputum culture. Antimicrobial susceptibilities were determined by Phoenix, with MICs of meropenem and imipenem determined by Liofilchem® MIC gradient strips and interpreted according to EUCAST breakpoints. Investigation for carbapenemase was performed using Carba NP, modified CIM (mCIM) and GeneXpert® Carba-R. WGS was performed using the Illumina DNA Prep library kit and sequenced using MiSeq.

Results
The isolate showed an unusual susceptibility profile, including high-level resistance to meropenem and imipenem, while remaining susceptible to extended-spectrum cephalosporins. The Carba NP and mCIM were positive and WGS demonstrated the presence of a blaSME-2 gene located on the chromosome within the SmarGI1-1 genomic island. In addition, a blaSRT-like class C β-lactamase, aac(6′)-Ic aminoglycoside-modifying enzyme and various multidrug efflux mechanisms were found. Phylogenetic core-genome analysis indicated no matching genome with RefSeq database strains.

Conclusions
S. marcescens is an opportunistic pathogen of concern, harbouring a variety of intrinsic resistance mechanisms, including the potential for stable AmpC hyperproduction. Globally, SME-type carbapenemases have been infrequently reported; however, isolates carrying this mechanism could have limited treated options, having implications for patient management. To the best of our knowledge this is the first report of SME in New Zealand.
Tracking pregnant women’s mental health through social media: an analysis of reddit posts
Authors: Dhankar Abhishek , Katz Alan 
Published: November 2023

Abstract

Objectives
Present an artificial intelligence-enabled pipeline for estimating the prevalence of depression and general anxiety among pregnant women using texts from their social media posts. Use said pipeline to analyze mental health trends on subreddits frequented by pregnant women and report on interesting insights that could be helpful for policy-makers, clinicians, etc.

Materials and methods
We used pretrained transformer-based models to build a natural language processing pipeline that can automatically detect depressed pregnant women on social media and carry out topic modeling to detect their concerns.

Results
We detected depressed posts by pregnant women on Reddit and validated the performance of the depression classification model by carrying out topic modeling to reveal that depressive topics were detected. The proportion of potentially depressed surprisingly reduced during the pandemic (2020 and 2021). Queries related to antidepressants, such as Zoloft, and potential ways of managing mental health dominated discourse before the pandemic (2018 and 2019), whereas queries about pelvic pain and associated stress dominated the discourse during the pandemic.

Discussion and Conclusion
Supportive online communities could be a factor in alleviating stress related to the pandemic, hence the reduction in the proportion of depressed users during the pandemic. Stress during the pandemic has been associated with pelvic pain among pregnant women, and this trend is confirmed through topic modeling of depressive posts during the pandemic.
The smaller, the better? First evaluation of growth and mortality in crayfish internally tagged with p-Chips
Authors: Huber Augusto F , Fitzsimmons Wesley A , Westhoff Jacob T 
Published: November 2023

AbstractSmall-bodied aquatic animals present a challenge to researchers seeking to uniquely mark individuals for scientific study. Microtransponder tags, such as p-Chips, represent the smallest electronic animal tags available to meet this need. The use of p-Chips to tag freshwater crayfishes, however, has not been explored. The goal of this study, therefore, was to determine the effects of p-Chip tagging on growth and survival of crayfishes in a controlled laboratory environment. We also investigated potential influences from variables such as sex, reproductive form, number of molt events, and crayfish size on mortality. We internally tagged individuals of the woodland crayfish Faxonius hylas (Faxon, 1890) (12.2–26.6 mm carapace length; CL) with either one p-Chip (single-tag) or one p-Chip and one visual implant elastomer tag (double-tagged) and observed the effects over a period of 90 days. Survival probability over time was not statistically different (P &gt; 0.05) among tagging groups, sex, and reproductive form. Survival rates were similar across all tagging groups, with 75% in the control group, 77% in the double-tagged group, and 78% in the single-tag group. A strong correlation, however, was observed between survival and the number of molt events. Additionally, there was a negative correlation between survival and crayfish size (CL), indicating a higher risk of mortality for larger individuals. There were no statistically significant differences in growth in CL (P = 0.30) or mass (P = 0.19) among the tagging groups. We conclude that p-Chips are a viable tagging option for the study of crayfishes given their size, readability, and retention through molting cycles. We recommend that future studies repeat this experiment using smaller individuals to determine the minimum crayfish size compatible with p-Chip tagging. It is also important to test p-Chips with other crayfish species and compare the growth and mortality of crayfish tagged with p-Chips in natural habitats.