bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vagally‐mediated HRV as a marker of trait rumination in healthy individuals? A large cross‐sectional analysis
Authors: Li Zefeng , Pulopulos Matias , Allaert Jens , De Smet Stefanie , De Wandel Linde , Kappen Mitchel , Puttevils Louise , Razza Lais B. , Schoonjans Emmanuelle , Vanhollebeke Gert , Baeken Chris , De Raedt Rudi , Vanderhasselt Marie‐Anne 
Published: October 2023

AbstractThe tendency to ruminate (i.e., repetitive, self‐referential, negative thoughts) is a maladaptive form of emotional regulation and represents a transdiagnostic vulnerability factor for stress‐related psychopathology. Vagally‐mediated heart rate variability (vmHRV) provides a non‐invasive, surrogate measure of vagal modulation of the heart, and higher HRV is considered an indicator of susceptibility, or ability to respond to stress. Past research has suggested a link between trait rumination and vmHRV; however, inconsistent results exist in healthy individuals. In this study, we investigated the association between the tendency to ruminate, brooding, and reflection (using the Ruminative Response Scale) with vmHRV measured at baseline in a healthy population using a large cross‐sectional dataset (N = 1189, 88% female; mean age = 21.55, ranging from 17 to 48 years old), which was obtained by combining samples of healthy individuals from different studies from our laboratory. The results showed no cross‐sectional correlation between vmHRV and trait rumination (confirmed by Bayesian analysis), even after controlling for important confounders such as gender, age, and depressive symptoms. Also, a non‐linear relationship was rejected. In summary, based on our results in a large sample of healthy individuals, vmHRV is not a marker of trait rumination (as measured by the Ruminative Response Scale).
Facing the human capital crisis: A systematic review and research agenda on recruitment and selection in the public sector
Authors: Jakobsen Mette , Løkke Ann‐Kristina , Keppeler Florian 
Published: October 2023

AbstractAs a human capital crisis poses urgent challenges across multiple countries, public administration scholars and practitioners are concerned with recruitment and selection questions. Literature evolves with an increasing pace whereby clarity over the state‐of‐the‐art and gaps in recruitment and selection research in the public sector is needed to direct future research and practice. We conducted a review of 59 studies to systematize and reorient research on recruitment and selection. Summarizing the state‐of‐the‐art, we identify a strong focus on individual‐level research of attraction, revealing several blind spots of research on other levels and process stages of hiring. Based on the synthesis of existing knowledge, we provide a research agenda that extends the predominant focus on attraction. By bridging public administration concepts with generic recruitment and selection research, the agenda aims at advancing the research on hiring in the public sector, offering a framework for levels, concepts/theories, processes, and key variables.
Interactive word walls for 3D learning: Visually representing the NGSS in elementary science methods courses
Authors: Reinhart Meredith 
Published: October 2023

AbstractEven though the Next Generation Science Standards (NGSS) were released over a decade ago, science is still infrequently taught in early childhood and elementary classrooms. A lack of teacher confidence due to inadequate content knowledge may be a contributing factor, making access to high‐quality elementary science methods courses even more imperative. This article highlights preservice elementary teachers’ use of an interactive word wall, an instructional strategy that explicitly documented their experiences with disciplinary core ideas, scientific and engineering practices, and crosscutting concepts. Students enrolled in four undergraduate elementary science methods sections participated in the creation, implementation, and evaluation of their classroom's interactive word wall. Through written assignments, classroom discussions, and photographic documentation, students helped to identify seven benefits of using this strategy while collaboratively building their interactive word walls. This article describes the process of setting up the word walls, the students’ choices during the construction of the walls, and their reflections on the benefits and challenges associated with using an interactive word wall at the university level. This article provides teacher educators with a strategy to strengthen students’ understanding of the NGSS framework and encourages preservice teachers to reflect upon how to use this strategy in their future classrooms.
Non-operative management of high-grade splenic injury: a systematic review protocol
Authors: Nann Silas , Clarke Molly , Jog Shivangi , Aromataris Edoardo 
Published: October 2023

Objective:
The objective of this review is to establish whether embolization is more effective than clinical observation for adult patients with grade III–V splenic injuries. The findings will be used to guide future practice and, if necessary, inform future research design and conduct.

Introduction:
The spleen is one of the most frequently injured intra-abdominal organs, with a reported adult mortality of 7% to 18% following trauma. Non-operative management has become a standard of care for hemodynamically stable patients. In clinical practice, the decision whether to prophylactically embolize or manage high-grade injuries with observation alone remains controversial.

Inclusion criteria:
Sources including adult patients with grade III–V splenic injuries secondary to blunt trauma will be included in this review. Eligible studies must include comparisons between 2 cohorts of patients undergoing either prophylactic embolization or clinical observation only. Outcomes will include mortality rate, failure of treatment, intensive care unit admission, length of hospital stay, blood transfusion requirements, and patient satisfaction.

Methods:
A systematic review with meta-analysis will be conducted. PubMed, Embase, and CINAHL will be searched for eligible studies, as will trial registries and sources of gray literature. Study selection, quality appraisal, and data extraction of outcomes will be performed in duplicate. Methodological quality will be evaluated using JBI critical appraisal tools. Studies will, where possible, be pooled in statistical meta-analysis. A random effects model will be used and statistical analysis will be performed. The certainty of the findings will be assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach.

Review registration:
PROSPERO CRD42023420220
Search for Signs of Sublimation-Driven Dust Activity of Primitive-Type Asteroids Near Perihelion
Authors: Busarev V. V. , Petrova E. V. , Shcherbina M. P. , Kuznetsov S. Yu. , Burlak M. A. , Ikonnikova N. P. , Savelova A. A. , Belinskii A. A. 
Published: October 2023

Abstract—
In December 2021 to February 2022, the UBVRI photometry of 29 primitive-type asteroids of the Main Belt, being near the perihelion distances, was carried out at the 0.6-meter RC600 semiautomatic telescope of the Caucasus Mountain Observatory (CMO) of the Sternberg Astronomical Institute, Moscow State University. These observations, as well as the data processing and analysis, were aimed at searching for supposed sublimation-driven dust activity on asteroids under maximal subsolar temperatures. Among the tasks to be accomplished was the comparison of the physical and dynamic parameters of active and inactive asteroids. The main result is that substantial spectral signs of quasi-simultaneous sublimation-driven dust activity were detected on six primitive-type asteroids of the Main Belt—145 Adeona, 302 Clarissa, 322 Phaeo, 435 Ella, 690 Wratislavia, and 779 Nina (on 302 Clarissa, 322 Phaeo, 435 Ella, and 690 Wratislavia—for the first time). These six asteroids represent ~21% of all bodies included in the observation program. Probable spectral manifestations of activity at a lower intensity level were detected for the first time on five more asteroids—424 Gratia, 751 Faina, 762 Pulcova, 778 Theobalda, and 859 Bouzaréah. On 145 Adeona and 779 Nina, sublimation-driven dust activity near perihelion was registered for the third time for the last ten years; this time interval corresponds to about three orbital periods of these asteroids around the Sun. We consider the circumstances due to which five of the listed asteroids possess families. General processes and conditions that could and/or can influence the portion of primitive-type asteroids that quasi-simultaneously show signs of sublimation-driven dust activity are discussed.
Higher-derivative quantum gravity with purely virtual particles: renormalizability and unitarity
Authors: Piva Marco 
Published: October 2023

AbstractWe review the formulation of quantum field theories with purely virtual particles, a new type of degrees of freedom that can mediate interactions without ever appear as external on-shell states. This property allows to solve the problem of ghosts in higher-derivative quantum gravity, leading to a renormalizable and unitary theory. The main steps for the BRST quantization of gravity are recalled and renormalizability is discussed. Then, we introduce purely virtual particles in a general quantum field theory and show the derivation of the so-called spectral identities, which are a key ingredient to prove unitarity. Finally, phenomenological consequences and predictions in inflationary cosmology are presented.
Synchronised Shared Memory and Model Checking
Authors: Aguado Joaquín , Duenas Alejandra 
Published: October 2023

In this article, a formal generic framework for defining and reasoning about deterministic concurrency in synchronous systems is implemented in the
Spin
model checker. Concretely, the work implements the
clock-synchronised shared memory
(
csm
) theory, which extends synchronous programming with more and higher-level
csm
data types. These
csm
data types are equipped with a synchronisation
policy
prescribing how concurrent calls to objects methods must be organised. In a policy constructive system, all methods of every object can be scheduled in a policy-conformant manner without deadlocking. In our framework, synchronous policies get codified as
Promela
never-claims. In this form, the model checker can search for executions (interleavings) that satisfy the synchronous product of all the never-claims, namely policy-conformant schedules for all the
csm
objects. The existence of such policy-conformant schedules verifies that the concurrent synchronous system is deterministic. The approach of this article extends beyond a single semantics since it can handle the synchronous programming model as well as the various forms of the sequentially constructive model found in the literature.
The NCI-60 Human Tumor Cell Line Screen: A Catalyst for Progressive Evolution of Models for Discovery and Development of Cancer Drugs
Authors: Workman Paul 
Published: October 2023

Abstract
Following three decades of systematic primary empirical screening against mice bearing two transplantable murine leukemias, the NCI took the bold step of switching to a radically different approach—initial screening of 10,000 diverse compounds/year against a panel of 60 human tumor cell lines in vitro. The establishment of the “NCI-60” screen was announced in the landmark Cancer Research article by Alley and colleagues, published in 1988, which exemplified the technological basis for the new microculture screen, operating at unprecedented scale. The underlying concept was that NCI-60 might expedite the discovery of innovative cancer drugs, especially those with predicted activity against particular solid cancers—not then possible. We discuss how NCI-60 provided a major technological advance and delivered a successful legacy for cancer research and development. While not immediately cracking the thorny problem of model-to-human tumor type prediction, NCI-60 nevertheless provided the conceptual and methodologic foundation for subsequent, much larger-scale human cancer cell panel screens with detailed molecular annotation and sophisticated informatics. Now used in modern molecular target–based drug discovery, these panels help enable the implementation of contemporary biomarker-led precision oncology.
See related article by Alley and colleagues, Cancer Res 1988;48:589–601
An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques
Authors: Patro Kiran Kumar , Allam Jaya Prakash , Sanapala Umamaheswararao , Marpu Chaitanya Kumar , Samee Nagwan Abdel , Alabdulhafith Maali , Plawiak Pawel 
Published: October 2023

AbstractThe rising risk of diabetes, particularly in emerging countries, highlights the importance of early detection. Manual prediction can be a challenging task, leading to the need for automatic approaches. The major challenge with biomedical datasets is data scarcity. Biomedical data is often difficult to obtain in large quantities, which can limit the ability to train deep learning models effectively. Biomedical data can be noisy and inconsistent, which can make it difficult to train accurate models. To overcome the above-mentioned challenges, this work presents a new framework for data modeling that is based on correlation measures between features and can be used to process data effectively for predicting diabetes. The standard, publicly available Pima Indians Medical Diabetes (PIMA) dataset is utilized to verify the effectiveness of the proposed techniques. Experiments using the PIMA dataset showed that the proposed data modeling method improved the accuracy of machine learning models by an average of 9%, with deep convolutional neural network models achieving an accuracy of 96.13%. Overall, this study demonstrates the effectiveness of the proposed strategy in the early and reliable prediction of diabetes.
Genome-wide identification of Sclerotinia sclerotiorum small RNAs and their endogenous targets
Authors: Regmi Roshan , Newman Toby E. , Khentry Yuphin , Kamphuis Lars G. , Derbyshire Mark C. 
Published: October 2023

AbstractBackgroundSeveral phytopathogens produce small non-coding RNAs of approximately 18–30 nucleotides (nt) which post-transcriptionally regulate gene expression. Commonly called small RNAs (sRNAs), these small molecules were also reported to be present in the necrotrophic pathogenSclerotinia sclerotiorum.S. sclerotiorumcauses diseases in more than 400 plant species, including the important oilseed cropBrassica napus. sRNAs can further be classified as microRNAs (miRNAs) and short interfering RNAs (siRNAs). Certain miRNAs can activate loci that produce further sRNAs; these secondary sRNA-producing loci are called ‘phased siRNA’ (PHAS) loci and have only been described in plants. To date, very few studies have characterized sRNAs and their endogenous targets in S. sclerotiorum.ResultsWe used Illumina sequencing to characterize sRNAs from fungal mycelial mats of S. sclerotiorum spread over B. napus leaves. In total, eight sRNA libraries were prepared from in vitro, 12 h post-inoculation (HPI), and 24 HPI mycelial mat samples. Cluster analysis identified 354 abundant sRNA clusters with reads of more than 100 Reads Per Million (RPM). Differential expression analysis revealed upregulation of 34 and 57 loci at 12 and 24 HPI, respectively, in comparison to in vitro samples. Among these, 25 loci were commonly upregulated. Altogether, 343 endogenous targets were identified from the major RNAs of 25 loci. Almost 88% of these targets were annotated as repeat element genes, while the remaining targets were non-repeat element genes. Fungal degradome reads confirmed cleavage of two transposable elements by one upregulated sRNA. Altogether, 24 milRNA loci were predicted with both mature and milRNA* (star) sequences; these are both criteria associated previously with experimentally verified miRNAs. Degradome sequencing data confirmed the cleavage of 14 targets. These targets were related to repeat element genes, phosphate acetyltransferases, RNA-binding factor, and exchange factor. A PHAS gene prediction tool identified 26 possible phased interfering loci with 147 phasiRNAs from theS. sclerotiorum genome, suggesting this pathogen might produce sRNAs that function similarly to miRNAs in higher eukaryotes.ConclusionsOur results provide new insights into sRNA populations and add a new resource for the study of sRNAs in S. sclerotiorum.
Antimicrobial resistance pattern of Klebsiella isolated from various clinical samples in Ethiopia: a systematic review and meta-analysis
Authors: Gebremeskel Leake , Teklu Tewolde , Kasahun Gebremicheal Gebreslassie , Tuem Kald Beshir 
Published: October 2023

Abstract
Background
The burden of Klebsiella drug resistance to antimicrobials is a major public health concern worldwide; particularly the problem is severe in developing countries including Ethiopia. Therefore, the aim of this systematic review and meta-analysis is to establish the pooled estimate of Klebsiella drug resistance; and antimicrobial-specific resistance pattern among Klebsiella clinical isoaltes in Ethiopia.

Methods
Articles were searched from PubMed, Google Scholar, and Science direct and grey literature from 2009 to 2019. Four authors have independently extracted data on the prevalence and antimicrobial resistance pattern of the isolates. Statistical analysis was conducted by using Open meta-analyst (version 3.13) and Comprehensive meta-analysis (version 3.3). The main outcome measures were the overall Klebsiella resistance; and drug-specific resistance patterns. A random-effects model was used to determine the pooled resistance prevalence with 95% confidence interval (CI), and significant heterogeneity was considered at p < 0.1; and I2 > 50% using DerSimonian and Laird method. In addition, subgroup analyses were conducted to improve the outcome.

Result
We obtained 174 potentially relevant studies through searching electronic databases, and finally, 35 eligible studies were included for meta-analysis. A total of 13,269 study samples participated, from which 1017 Klebsiella species were isolated. The overall Klebsiella resistance in Ethiopia was found to stand at 53.75% (95% CI: 48.35—58.94%). Based on the subgroup analyses; the highest (64.39%); and lowest (46.16%) values were seen in Southern Nations, Nationalities, and Peoples of Ethiopia; and Tigray regions respectively; and the highest Klebsiella resistance was reported to ampicillin (90.56%), followed by amoxicillin (76.01%) and trimethoprim-sulfamethoxazole (66.91%). A relatively low level of resistance rate was observed to amikacin (16.74%) and cefoxitin (29.73%).

Conclusion
The pooled Klebsiella resistance was found to be considerably high (53.75%) to most of the essential antibiotics in Ethiopia. Klebsiella was highly resistant to ampicillin and amoxicillin but relatively lower to amikacin. Therefore, appropriate interventional strategies need to be taken to address the emerging resistance of Klebsiella species.
TVFx – CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique
Authors: Ahmed Syed Thouheed , Basha Syed Muzamil , Venkatesan Muthukumaran , Mathivanan Sandeep Kumar , Mallik Saurav , Alsubaie Najah , Alqahtani Mohammed S. 
Published: October 2023

AbstractCOVID-19, the global pandemic of twenty-first century, has caused major challenges and setbacks for researchers and medical infrastructure worldwide. The CoVID-19 influences on the patients respiratory system cause flooding of airways in the lungs. Multiple techniques have been proposed since the outbreak each of which is interdepended on features and larger training datasets. It is challenging scenario to consolidate larger datasets for accurate and reliable decision support. This research article proposes a chest X-Ray images classification approach based on feature thresholding in categorizing the CoVID-19 samples. The proposed approach uses the threshold value-based Feature Extraction (TVFx) technique and has been validated on 661-CoVID-19 X-Ray datasets in providing decision support for medical experts. The model has three layers of training datasets to attain a sequential pattern based on various learning features. The aligned feature-set of the proposed technique has successfully categorized CoVID-19 active samples into mild, serious, and extreme categories as per medical standards. The proposed technique has achieved an accuracy of 97.42% in categorizing and classifying given samples sets.
Gender differences in transdiagnostic domains and function of adults measured by DSM-5 assessment scales at the first clinical visit: a cohort study
Authors: Saunders Erika F.H. , Brady Megan , Mukherjee Dahlia , Baweja Ritika , Forrest Lauren N. , Gomaa Hassaan , Babinski Dara , He Fan , Pearl Amanda M. , Liao Duanping , Waschbusch Daniel A. 
Published: October 2023

Abstract
Background
Measurement-based care has been called for as best practice in psychiatric care and learning health systems and use of transdiagnostic measures was suggested as part of the DSM-5. Our objective is to examine gender differences in first visit socioeconomic, transdiagnostic, and functional characteristics of a dynamic, real-world measurement-based care cohort.

Methods
Transdiagnostic, functional, and clinical measures were collected from 3,556 patients at first visit in an ambulatory psychiatric clinic. All patients were evaluated at the first visit by board-certified psychiatrists or licensed clinical psychologists. Demographic variables and clinical diagnoses were collected from the Electronic Medical Record. Self-report measures were collected that assessed transdiagnostic symptoms (DSM-5 Level 1 Cross-cutting Measure and Level 2 symptom scales), disability, alcohol use, attention deficit hyperactivity disorder (ADHD) symptoms, depression, anxiety, mania, suicidal thoughts and behaviors, and trauma exposure.

Results
Men and women did not differ in age, BMI, household income, high school graduation rate, race, or ethnicity, but women were more likely to be formerly married and less likely to have commercial insurance. Compared to men, women reported significantly higher overall psychopathology on the transdiagnostic Level 1 Cross-cutting measure and had higher depression, anxiety, sleep, anger, ADHD combined presentation, and suicidality severity. Women also had higher disability scores than men. However, men reported higher alcohol, tobacco and substance use, and more risky behavior than women. Trauma exposure differed significantly by gender; men reported more exposure to accidents, war-related trauma, serious accidents, and major disasters and women reported more unwanted sexual contact.

Conclusions
This cross-sectional study of a transdiagnostic, ecologically-valid real-word measurement-based care cohort demonstrates gender differences in socioeconomic factors, trauma exposure, transdiagnostic symptoms, and functioning.