bluuebunny/crossref_metadata_2025_split huggingface dataset:
Activating autophagy promotes skin regeneration induced by mechanical stretch during tissue expansion
Authors: Du Jing , Liu Wei , Song Yajuan , Zhang Yu , Dong Chen , Xiong Shaoheng , Huang Zhaosong , Wang Tong , Ding Jianke , He Qiang , Yu Zhou , Ma Xianjie 
Published: February 2024

AbstractBackgroundTissue expansion, a technique in which skin regeneration is induced by mechanical stretch stimuli, is commonly used for tissue repair and reconstruction. In this study, we aimed to monitor the autophagy levels of expanded skin after the application of expansion stimuli and explore the effect of autophagy modulation on skin regeneration.MethodsA rat scalp expansion model was established to provide a stable expanded skin response to mechanical stretch. Autophagy levels at different time points (6, 12, 24, 48 and 72 h after the last expansion) were detected via western blotting. The effect of autophagy regulation on skin regeneration during tissue expansion was evaluated via skin expansion efficiency assessment, western blotting, immunofluorescence staining, TUNEL staining and laser Doppler blood flow imaging.ResultsThe autophagic flux reached its highest level 48 h after tissue expansion. Activating autophagy by rapamycin increased the area of expanded skin as well as the thicknesses of epidermis and dermis. Furthermore, activating autophagy accelerated skin regeneration during tissue expansion by enhancing the proliferation of cells and the number of epidermal basal and hair follicle stem cells, reducing apoptosis, improving angiogenesis, and promoting collagen synthesis and growth factor secretion. Conversely, the regenerative effects were reversed when autophagy was blocked.ConclusionsAutophagy modulation may be a promising therapeutic strategy for improving the efficiency of tissue expansion and preventing the incidence of the complication of skin necrosis.
Link Residual Closeness of Graphs with Fixed Parameters
Authors: Xu Leyou , Li Chengli , Zhou Bo 
Published: February 2024

Abstract
Link residual closeness is a newly proposed measure for network vulnerability. In this model, vertices are perfectly reliable and the links fail independently of each other. It measures the vulnerability even when the removal of links does not disconnect the graph. In this paper, we characterize those graphs that maximize the link residual closeness over the connected graphs with fixed order and one additional parameter such as connectivity, edge connectivity, bipartiteness, independence number, matching number, chromatic number, number of cut vertices and number of cut edges.
Behind the curve: technology challenges facing the homeland intelligence and counterterrorism workforce
Authors: Black Michelle , Obradovic Lana , House Deanna 
Published: February 2024

Abstract
Those charged with protecting the homeland through intelligence analysis, particularly in counterterrorism, must be capable of rapidly adopting innovative technologies to detect and prevent exploitation and disruption of vulnerable critical infrastructures. However, implementing these responses requires a highly skilled technical workforce that is continually provided with timely educational and training programs. Yet, questions remain regarding the technical aptitude necessary to respond to today’s terrorism threats and the Department of Homeland Security’s ability to provide consistent and rigorous standards for technology training and education. By surveying analysts, we examine what, if any, educational and training programs have been provided to adapt and remain technologically competitive and effectively utilize emerging technologies. We find a distinct need to focus on improvements that involve clarifying terms, building a technology and cybersecurity roadmap for analysts, allocating additional training time for employees, and building partnerships with private industry.
A systematic review of lethal means safety counseling interventions: impacts on safety behaviors and self-directed violence
Authors: Spitzer Elizabeth G , Stearns-Yoder Kelly A , Hoffberg Adam S , Bailey Hannah M , Miller Christopher J , Simonetti Joseph A 
Published: February 2024

Abstract
For lethal means safety counseling (LMSC) interventions to reduce population-level suicide rates, interventions must be deployed across many settings and populations. We conducted a systematic search in 6 databases to review the current state of LMSC interventions across study designs, settings, intervention providers, populations, and injury prevention levels (eg, universal). Eligibility criteria were as follows: any individual or group receiving an LMSC intervention involving a human-to-human component aiming to influence adult behaviors related to lethal suicide methods, and outcome assessment of storage behaviors and/or suicidal self-directed violence (SDV). Risk of bias was assessed using the Effective Public Health Practice Project quality assessment tool. A descriptive synthesis approach was used for analysis. Twenty-two studies were included that reported medication- and/or firearm-storage behaviors and/or SDV after LMSC. Of the 19 studies assessing behavioral change, 14 reported a significant improvement in safe storage behaviors, and all studies measuring acceptability reported that participants found the interventions favorable. The quality of evidence was limited. No studies were rated low risk of bias, and 77% were rated high risk of bias. There was substantial heterogeneity in the settings, populations, injury prevention levels, delivery methods, and intervention elements. Many included studies focused on caregivers of pediatric populations, and few studies assessed SDV outcomes. Higher-quality trials conducted across a variety of settings, particularly those focusing on adults at risk of suicide, are needed. This review was preregistered with the International Prospective Register of Systematic Reviews (no. CRD42021230668).
ATR-FTIR spectroscopy and LDA: a rapid, non-destructive and cost effective strategy to trace the geographical origin of Cannabis sativa L
Authors: Ramos Mariana Fernandes , Kinney Chad A , Coblinski João A , Fett Mauro Sander , Dick Deborah Pinheiro , de Oliveira Camargo Flávio A 
Published: February 2024

Abstract
Cannabis recreational and/or medicinal use have been legalized in the past years in many states and countries. As a consequence, many Cannabis growers and product developers have emerged in a new market throughout the world; at the same time, issues regarding questionable quality control have also risen, as several reports on Cannabis users’ health-related problems caused by inaccurate labeling content in Cannabis-based medicines, edibles or other derivatives are being published and brought out to the public’s attention. These facts make traceability methodologies crucial whether for forensic use, such as drug trafficking eradication, or for quality control purposes of legal Cannabis and of products derived from it. Hence, the objective of this study was to analyze Cannabis by means of Attenuated Total Reflection Spectroscopy (ATR-FTIR) in order to assess the capability of this technique to trace the geographical origin of Cannabis cultivated in Brazil and in Colorado, United States of America. Forty-seven samples from Brazil and 18 samples from Colorado were analyzed by ATR-FTIR. Linear Discriminant Analysis (LDA) was employed to source the samples. The combination of ATR-FTIR and LDA achieved up to 95.23% accuracy in assigning Cannabis samples to their geographical locations of origin in Brazil and up to 100% in Colorado.
The probability of edge existence due to node degree: a baseline for network-based predictions
Authors: Zietz Michael , Himmelstein Daniel S , Kloster Kyle , Williams Christopher , Nagle Michael W , Greene Casey S 
Published: February 2024

Abstract
Important tasks in biomedical discovery such as predicting gene functions, gene–disease associations, and drug repurposing opportunities are often framed as network edge prediction. The number of edges connecting to a node, termed degree, can vary greatly across nodes in real biomedical networks, and the distribution of degrees varies between networks. If degree strongly influences edge prediction, then imbalance or bias in the distribution of degrees could lead to nonspecific or misleading predictions. We introduce a network permutation framework to quantify the effects of node degree on edge prediction. Our framework decomposes performance into the proportions attributable to degree and the network’s specific connections using network permutation to generate features that depend only on degree. We discover that performance attributable to factors other than degree is often only a small portion of overall performance. Researchers seeking to predict new or missing edges in biological networks should use our permutation approach to obtain a baseline for performance that may be nonspecific because of degree. We released our methods as an open-source Python package (https://github.com/hetio/xswap/).
Exploring definitions of daily enteric methane emission phenotypes for genetic evaluations using a population of indoor-fed multi-breed growing cattle with feed intake data
Authors: Ryan Clodagh V , Pabiou Thierry , Purfield Deirdre C , Berry Donagh P , Conroy Stephen , Murphy Craig P , Evans Ross D 
Published: February 2024

Abstract
Genetic selection has been identified as a promising approach for reducing enteric methane (CH4) emissions; a prerequisite for genetic evaluations; however, these are estimates of the necessary genetic parameters based on a population representative of where the genetic evaluations will be used. The objective of this study was, therefore, to derive genetic parameters for a series of definitions of CH4, carbon dioxide (CO2), and dry matter intake (DMI) as well as genetic correlations between CH4, CO2, and DMI in a bid to address the paucity of studies involving methane emissions measured in beef cattle using GreenFeed systems. Lastly, estimated breeding values (EBV) were generated for nine alternative definitions of CH4 using the derived genetic parameters; the EBV were validated against both phenotypic performance (adjusted for non-genetic effects) and the Legarra and Reverter method comparing EBV generated for a subset of the dataset compared to EBV generated from the entire dataset. Individual animal CH4 and CO2 records were available from a population of 1,508 multi-breed growing beef cattle using 10 GreenFeed Emission Monitoring systems. Nine trait definitions for CH4 and CO2 were derived: individual spot measures, the average of all spot measures within a 3-h, 6-h, 12-h, 1-d, 5-d, 10-d, and 15-d period and the average of all spot measures across the full test period (20 to 114 d on test). Heritability estimates from 1,155 animals, for CH4, increased as the length of the averaging period increased and ranged from 0.09 ± 0.03 for the individual spot measures trait to 0.43 ± 0.11 for the full test average trait; a similar trend existed for CO2 with the estimated heritability ranging from 0.17 ± 0.04 to 0.50 ± 0.11. Enteric CH4 was moderately to strongly genetically correlated with DMI with a genetic correlation of 0.72 ± 0.02 between the spot measures of CH4 and a 1-d average DMI. Correlations, adjusted for heritability, between the adjusted phenotype and (parental average) EBV ranged from 0.56 to 1.14 across CH4 definitions and the slope between the adjusted phenotype and EBV ranged from 0.92 to 1.16 (expectation = 1). Validation results from the Legarra and Reverter regression method revealed a level bias of between −0.81 and −0.45, a dispersion bias of between 0.93 and 1.17, and ratio accuracy (ratio of the partial evaluation accuracies on whole evaluation accuracies) from 0.28 to 0.38. While EBV validation results yielded no consensus, CH4 is a moderately heritable trait, and selection for reduced CH4 is achievable.
Exploring risk factors and molecular targets in leukemia patients with COVID-19: a bioinformatics analysis of differential gene expression
Authors: Ullah Md Asad , Moin Abu Tayab , Nipa Jannatul Ferdous , Islam Nafisa Nawal , Johora Fatema Tuz , Chowdhury Rahee Hasan , Islam Saiful 
Published: February 2024

Abstract
The molecular mechanism of COVID-19's pathogenic effects in leukemia patients is still poorly known. Our study investigated the possible disease mechanism of COVID-19 and its associated risk factors in patients with leukemia utilizing differential gene expression analysis. We also employed network-based approaches to identify molecular targets that could potentially diagnose and treat COVID-19–infected leukemia patients. Our study demonstrated a shared set of 60 genes that are expressed differentially among patients with leukemia and COVID-19. Most of these genes are expressed in blood and bone marrow tissues and are predominantly implicated in the pathogenesis of different hematologic malignancies, increasingly imperiling COVID-19 morbidity and mortality among the affected patients. Additionally, we also found that COVID-19 may influence the expression of several cancer-associated genes in leukemia patients, such as CCR7, LEF1, and 13 candidate cancer-driver genes. Furthermore, our findings reveal that COVID-19 may predispose leukemia patients to altered blood homeostasis, increase the risk of COVID-19–related liver injury, and deteriorate leukemia-associated injury and patient prognosis. Our findings imply that molecular signatures, like transcription factors, proteins such as TOP21, and 25 different microRNAs, may be potential targets for diagnosing and treating COVID-19–infected leukemia patients. Nevertheless, additional experimental studies will contribute to further validating the study's findings.
Organization of microtubule plus-end dynamics by phase separation in mitosis
Authors: Yang Fengrui , Ding Mingrui , Song Xiaoyu , Chen Fang , Yang Tongtong , Wang Chunyue , Hu Chengcheng , Hu Qing , Yao Yihan , Du Shihao , Yao Phil Y , Xia Peng , Adams Jr Gregory , Fu Chuanhai , Xiang Shengqi , Liu Dan , Wang Zhikai , Yuan Kai , Liu Xing 
Published: February 2024

abstract
In eukaryotes, microtubule polymers are essential for cellular plasticity and fate decisions. End-binding (EB) proteins serve as scaffolds for orchestrating microtubule polymer dynamics and are essential for cellular dynamics and chromosome segregation in mitosis. Here, we show that EB1 forms molecular condensates with TIP150 and MCAK through liquid–liquid phase separation to compartmentalize the kinetochore–microtubule plus-end machinery, ensuring accurate kinetochore–microtubule interactions during chromosome segregation in mitosis. Perturbation of EB1–TIP150 polymer formation by a competing peptide prevents phase separation of the EB1-mediated complex and chromosome alignment at the metaphase equator in both cultured cells and Drosophila embryos. Lys220 of EB1 is dynamically acetylated by p300/CBP-associated factor in early mitosis, and persistent acetylation at Lys220 attenuates phase separation of the EB1-mediated complex, dissolves droplets in vitro, and harnesses accurate chromosome segregation. Our data suggest a novel framework for understanding the organization and regulation of eukaryotic spindle for accurate chromosome segregation in mitosis.
Ureterocele as differential diagnosis of hydrosalpinx—an interesting case from the clinical practice
Authors: Psilopatis Iason , Beckmann Matthias W , Emons Julius , Schulmeyer Carla E 
Published: February 2024

Abstract
Hydrosalpinx is a common condition in women of reproductive age that correlates with infertility. A ureterocele is a dilatation of the terminal ureter within the bladder and/or urethra that occurs seldomly in adults, but can sonographically be mistaken for a hydrosalpinx. We report of a 29-year-old patient (G2/P1) who was referred in our department with secondary infertility and suspicion of hydrosalpinx. Intraoperatively, no hydrosalpinx could be visualized. Postoperatively, an intravesical cystic mass was detected, alongside a second-degree urinary retention. Sonographically, a double kidney on the left side and an accentuated calyx system could be diagnosed. Ureteroceles seem to represent a rare but still possible differential diagnosis in suspected hydrosalpinx, given the similar sonographic presentation of both conditions.
Recurrent colon cancer in a patient with Muir–Torre syndrome: a case report
Authors: Rivkin Angeline C , Bystrom Philip , Lin Amy Y , Chaudhry Vivek 
Published: February 2024

Abstract
Muir–Torre syndrome (MTS) is a rare subtype of hereditary nonpolyposis colorectal cancer syndrome caused by a defect in DNA mismatch repair leading to microsatellite instability. It is characterized by the presence of at least one sebaceous gland tumor and one internal malignancy, most commonly colorectal and endometrial tumors. These patients have a high propensity for tumorigenesis, and while strict screening protocols are in place, there are only two cases that describe the management approach to recurrent colon cancer. Here, we present a case of recurrent colorectal cancer in a patient with MTS, and describe how it was managed at our facility by a multidisciplinary team.
A nearby polluted white dwarf with a 6.2 h spin period
Authors: Farihi Jay , Robert Akshay , Walters Nikolay 
Published: February 2024

ABSTRACT
This letter reports the first detection of a periodic light curve whose modulation is unambiguously due to rotation in a polluted white dwarf. TESS observations of WD 2138−332, at a distance of 16.1 pc, reveal a 0.39 per cent amplitude modulation with a 6.19 h period. While this rotation is relatively rapid for isolated white dwarfs, it falls within the range of spin periods common to those with detectable magnetic fields, where WD 2138−332 is notably both metal-rich and weakly magnetic. Within the local 20 pc volume of white dwarfs, multisector TESS data find no significant periodicities among the remaining 16 polluted objects (five of which are also magnetic), whereas six of 23 magnetic and metal-free targets have light curves consistent with rotation periods between 0.7 and 35 h (three of which are new discoveries). This indicates the variable light curve of WD 2138−332 is primarily a result of magnetism, as opposed to an inhomogeneous distribution of metals. From 13 magnetic and metallic degenerates with acceptable TESS data, a single detection of periodicity suggests that polluted white dwarfs are not rotating as rapidly as their magnetic counterparts, and planet ingestion is thus unlikely to be a significant channel for rapid rotation.
Census for the rest-frame optical and UV morphologies of galaxies at z = 4–10: First phase of inside-out galaxy formation
Authors: Ono Yoshiaki , Harikane Yuichi , Ouchi Masami , Nakajima Kimihiko , Isobe Yuki , Shibuya Takatoshi , Nakane Minami , Umeda Hiroya , Xu Yi , Zhang Yechi 
Published: February 2024

Abstract
We present the rest-frame optical and UV surface brightness (SB) profiles for 149 galaxies with Mopt &lt; −19.4 mag at z = 4–10 (29 of which are spectroscopically confirmed with JWST NIRSpec), securing high signal-to-noise ratios of 10–135 with deep JWST NIRCam 1–$5\, \mu$m images obtained by the CEERS survey. We derive morphologies of our high-z galaxies, carefully evaluating the systematics of SB profile measurements with Monte Carlo simulations as well as the impacts of a) AGNs, b) multiple clumps including galaxy mergers, c) spatial resolution differences with previous HST studies, and d) strong emission lines, e.g., Hα and [O iii], on optical morphologies with medium-band F410M images. Conducting Sérsic profile fitting for our high-z galaxy SBs with GALFIT, we obtain effective radius ranges for optical re,opt and UV re,UV wavelengths of re, opt = 0.05–1.6 kpc and re,UV = 0.03–1.7 kpc that are consistent with previous results within large scatters in the size–luminosity relations. However, we find that the effective radius ratio, re,opt$/$re,UV, is almost unity, $1.01^{+0.35}_{-0.22}$, over z = 4–10 with no signatures of past inside-out star formation such as found at z ∼ 0–2. There are no spatial offsets exceeding 3σ between the optical and UV morphology centers in cases of no mergers, indicative of major star-forming activity only being found near mass centers of galaxies at z ≳ 4 probably experiencing the first phase of inside-out galaxy formation.
Sexual dysfunction in women with primary Sjögren’s syndrome: a systematic review and meta-analysis
Authors: Hsu Chia-Wen , Lee Jian Tao , Koo Malcolm 
Published: February 2024

Abstract

Introduction
Primary Sjögren’s syndrome (pSS) is an inflammatory autoimmune condition affecting the exocrine glands, which can adversely affect the sexual activities of women with pSS.

Objectives
The study sought to evaluate the performance of the Female Sexual Function Index (FSFI) score in women with pSS regarding desire, arousal, orgasm, lubrication, satisfaction, and pain compared with those of healthy individuals.

Methods
A systematic review was conducted by examining studies published up to May 2023 using Embase, Web of Science, Scopus, and PubMed with the search terms “sexual” and “Sjögren’s syndrome.”

Results
Out of the 228 articles retrieved, 9 met the criteria for inclusion in this systematic review. Six of these studies were cross-sectional, involving 229 women with pSS and 303 control subjects. Results from the meta-analysis showed that women with pSS had significantly lower scores in all 6 FSFI subdomains and the total FSFI score compared with healthy individuals. Lubrication showed the largest decrease, followed by pain. In addition, women with pSS exhibited significantly higher standardized mean differences in depression and in anxiety, as assessed by the Hospital Anxiety and Depression Scale, when compared with control subjects.

Conclusion
This updated meta-analysis underscores the importance of assessing genitourinary atrophy, disease-related psychological changes, and dyspareunia in women with pSS. It also emphasizes the need for customized therapeutic approaches to address these sexual dysfunctions effectively.