bluuebunny/crossref_metadata_2025_split huggingface dataset:
­Automated Generation of Covering Array Using Gravitational Search Algorithm and Biogeography Based Optimization
Authors: Esfandyari Sajad , Yousofvand liela , Rafe Vahid , Pira Einollah 
Published: March 2024

Abstract
The utilization of combinatorial testing methodologies in software development has become widespread, necessitating the development of efficient strategies for creating high-quality test suites. Covering Array (CA) has emerged as a key component of combinatorial testing, offering various types to fulfill diverse testing requirements. Several strategies have been introduced for generating CAs, each with its own strengths and weaknesses in terms of performance and efficiency. However, there is still a gap in the existence of a strategy that effectively addresses both aspects simultaneously. Moreover, manually collecting software information increases the likelihood of errors and presents challenges due to the complexity of extracting relevant data. To tackle these challenges, this study employs the GROOVE model checker to automate the extraction of variables and their interactions within the software. By adapting the Gravitational Search Algorithm (GSA) and Biogeography Based Optimization (BBO), an optimal test suite is generated with enhanced efficiency. The primary objective of this paper is to develop a software model using the GROOVE model checker and utilize its capabilities to extract essential software information. The proposed methodology utilizes GSA and BBO to create CAs with both uniform and variable strength. Additionally, a mechanism is introduced to expedite search operations within data structures. To assess the efficacy of the proposed approach, it is implemented within the GROOVE environment, alongside various other meta-heuristic algorithms. Furthermore, the proposed algorithm is also externally implemented for comparison with existing strategies. The evaluation results indicate that the proposed solution surpasses other strategies in terms of efficiency and performance.
Impacts of Pediatric Home Mechanical Ventilation on Child and Family Health-Related Quality of life: A Scoping Review Protocol
Authors: Makinde Keisha White , Mitchell Maysara , Merz Alexandra F , Youssef Michael 
Published: March 2024

Abstract

Background
The purpose of this review is to examine and summarize existing literature on pediatric invasive mechanical ventilation in the home environment to understand the health-related quality of life (HRQOL) of the child as well as the health-related family quality of life (FQOL). The use of invasive home mechanical ventilation is increasing for children with chronic respiratory conditions. Implementing in-home mechanical ventilation requires tremendous family and nursing support and impacts both the child’s quality of life and the family's quality of life.
Methods
Five databases will be searched using keywords and controlled vocabulary to identify relevant studies: Ovid Medline, Embase, Scopus, and Cochrane Library. Articles will meet inclusion criteria if they include primary research studies of children or families of children utilizing invasive home mechanical ventilation at home and assess quality of life. Children and young adults aged 0–25 years will be included. We exclude studies of hospitalized children, studies focused solely on healthcare professional experiences or clinical outcomes, and those focused on the period surrounding discharge from admission for tracheostomy placement. No date or language limits will be applied to the search. During screening, we will consider only English-language studies. Two independent reviewers will screen studies at the title/abstract and full-text levels. Two independent reviewers will extract data from relevant studies. Disagreements will be resolved by an independent third reviewer. Findings will be presented in tables and figures along with a narrative summary.
Discussion
This scoping review seeks to update the current literature and provide a more descriptive report of the factors that impact health-related quality of life in the presence of pediatric home mechanical ventilation.
Systematic Review Registration
Open Science Framework https://doi.org/10.17605/OSF.IO/6GB84
NTRK rearranged spindle cell neoplasm of the uterine cervix: a rare case report and literature review
Authors: Jiang Xiaoxia , Zhang Shao , Wu Lin , Li Zheng 
Published: March 2024

Abstract
Background
Neurotrophic tyrosine receptor kinase (NTRK) rearranged spindle cell neoplasm is an emerging group of molecularly defined rare soft tissue tumors, often presenting with a monotonous spindle cell morphology, infiltrative growth, and co-expression of S-100 and CD34 proteins by immunohistochemistry (IHC). Accurate diagnosis necessitates the combination of morphology, immunohistochemistry, and molecular test results, with next-generation sequencing (NGS) as the gold standard. Here, we present a rare case of NTRK rearranged spindle cell neoplasm of the uterine cervix and review the literature to highlight the current understanding of the diagnosis and treatment of the rare disease.
Case presentation
A 49-year-old perimenopausal woman presented with menorrhagia for more than a month. A biopsy of the cervix revealed a cervical spindle cell neoplasm with a tendency to be an isolated fibrous tumor. A total abdominal hysterectomy with bilateral salpingo-oophorectomy was performed and the surgical pathology suggested NTRK rearranged spindle cell neoplasm, while NGS confirmed TFG-NTRK3 fusion gene. Postoperatively, the patient refused larotrectinib maintenance therapy for economic reasons and had no sign of recurrence or metastasis at 31 months of follow-up.
Conclusion
We presented the first case of cervical spindle cell neoplasm with TFG-NTRK3 gene rearrangement and retrieved 22 cases of NTRK rearranged spindle cell neoplasm of the uterine cervix from literature. The most prevalent type of gene fusion was TPM3-NTRK1, and almost all cases demonstrated S-100 and CD34 positivity by IHC. Surgery remains the initial treatment of choice and tyrosine receptor kinase (TRK) inhibitors may serve as a promising target therapy for patients with recurrence or metastasis disease.
Revealing relationships between levels of air quality and walkability using explainable artificial intelligence techniques
Authors: Jo Joonsik , Choi Minje , Kwak Juhyeon , Fan Yee Van , Lee Seungjae 
Published: March 2024

Abstract

Based on the global interest in environmental and health issues related to air pollution, this study addresses the impact of air quality on walking and related factors in cities. This study analyzes the impact of air quality on pedestrian volume in Seoul, Korea, and the relationship between these two variables. In this study, an Artificial Intelligence (AI) model was first built to predict pedestrian volume using various urban environmental variables. Then, using Explainable Artificial Intelligence (XAI) techniques, various factors affecting pedestrian volume were post-analyzed and the interaction between pedestrian volume and air quality was identified. The results of the study show that air quality indicators have a high variable importance in predicting pedestrian volume, and when the indicators improve above a certain level, pedestrian volume is rapidly activated. In addition, the concentration of fine dust does not have a significant effect on the increase in pedestrian volume on weekdays and in urban centers where essential travel occurs, whereas in neighbourhood parks, pedestrian volume elastically decreased due to the deterioration of air quality, and this phenomenon was more pronounced when the fine dust rating was downgraded. Finally, the sensitivity of walking variation by air quality was analyzed in consideration of population characteristics in neighbourhood parks. In general, it was confirmed that women were more vulnerable to air quality than men, and young adults were relatively more vulnerable to air quality than children and the elderly in the age group, and this difference appeared differently depending on regional characteristics.
Untargeted Metabolomics Reveal Signatures of a Healthy Lifestyle
Authors: Pathmasiri Wimal , Rushing Blake R. , McRitchie Susan , Choudhari Mansi , Du Xiuxia , Smirnov Alexsandr , Pelleigrini Matteo , Thompson Michael J. , Sakaguchi Camila A. , Nieman David C. , Sumner Susan J. 
Published: March 2024

Abstract

This cross-sectional study investigated differences in the plasma metabolome in two groups of adults that were of similar age but varied markedly in body composition and dietary and physical activity patterns. Study participants included 52 adults in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females). The results using an extensive untargeted ultra high-performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) metabolomics analysis with 10,535 metabolite peaks identified 486 important metabolites (variable influence on projections scores or VIP ≥ 1), 118 most important library matched metabolites (VIP ≥ 1 and p ≤ 0.05 for group fold differences ≥ │1.8│), and 16 significantly enriched metabolic pathways that differentiated LIFE and CON groups. A novel metabolite signature of positive lifestyle habits emerged from this analysis highlighted by lower plasma levels of numerous bile acids, an amino acid profile characterized by higher histidine and lower glutamic acid, glutamine, β-alanine, phenylalanine, tyrosine, and proline, an elevated vitamin D status, higher levels of beneficial fatty acids and gut microbiome catabolism metabolites from plant substrates, and reduced levels of N-glycan degradation metabolites and environmental contaminants. This study established that the plasma metabolome is strongly associated with body composition and lifestyle habits. The robust lifestyle metabolite signature identified in this study is consistent with an improved life expectancy and a reduced risk for chronic disease.
Study on the lithium power battery thermal runaway and prevention technology
Authors: Wen Kai , Fu Xingfeng , Jiang Hai 
Published: March 2024

Abstract
In order to the issue of preventing Thermal runaway of power battery, the thermal generation model of power battery was established, and the model was modified based on the experimental data. On the basis of simulation calculation, the scheme of preventing Thermal runaway of battery module and battery pack was designed, and samples were made for test. The results of test and simulation calculation were very consistent, which confirmed the accuracy of the simulation calculation model, the results of Thermal runaway test also prove that the measures designed to prevent Thermal runaway are effective and meet the design requirement.
A Robust Method for Malware Analysis Using Stacking Classifiers and Dendrogram Visualization
Authors: Nallabala N.Naveen Kumar 
Published: March 2024

Abstract

Malware analysis is a vital and challenging task in the ever-changing cyber threat landscape. Traditional signature-based methods cannot keep up with the fast-paced evolution of malware variants. This underscores the need for developing a more effective malware classification tool helping in exploring new research directions with solutions. In this research work firstly, we present a comprehensive assessment on malware classification using dendrogram clustering techniques. This work proposes, a robust approach to malware analysis by constructing dendrogram that groups malware samples which works based on their ancestral relationships. Semantic analysis of the code also provides deeper insights into the malware’s behavior and functionality, enabling more precise identification. These methods help to detect new variants as well as enhance the recognition of existing malware families. Our proposed model results shows that, the robustness in accuracy and False Positive Rate when compared with other existing models.
Human promoter CpG islands contain primate-specific repeats, cluster and resist reprogramming
Authors: Mohan Kommu , Anne Anuhya , Kumar Lov , Chaillet J Richard 
Published: March 2024

Abstract
Imperfect tandem repeats (TRs) of ≥400nt are associated with 365 human 5’-genic CpG islands (TR-CGIs). Most are clustered at chromosome ends, with a high density across chromosome 19. These genes are enriched in neurodevelopmental/behavioral disorders and show interindividual variation in methylation levels. A subset of TR-CGIs is highly methylated and remains so during reprogramming to primed iPSCs, but become unmethylated in naïve PSCs, as do imprinting control regions (ICRs). Transcript levels correlate with methylation for some TR-CGI genes. TR-CGIs occur as orthologs in primates, but the corresponding mouse promoter-CGIs are without TRs and unmethylated. Thus, non-imprinted TR-CGIs accompanied primate evolution, with unique ability to acquire methylation during embryonic development and resist reprogramming to a pluripotent stem cell state.
An Efficient Speech Synthesizer – A Hybrid Monotonic architecture for text-to-speech using VAE &amp; LPC-net with independent sentence length
Authors: NAVEENKUMAR NALLABALA 
Published: March 2024

Abstract

In this research, it is suggested that a hybrid architecture for text-to-speech, which is named it as Efficient Speech Synthesizer. ESS optimizes all the parameters through a consistent, end-to-end training process that enables fast and efficient speech synthesis of exceptional quality without depending on the length of the sentences. ESS is powered by combining feed-forward approaches like Variational Auto Encoders and Linear Predictive Coding techniques. These techniques give monotonic limitations to the sequence alignment with almost no increase in computation. The present research focuses on TTS model with low complexity, low latency which is suitable for both high-end and low-end computational devices like IoT and smart Phones.
Role of Transposable Elements in behavioral traits: insights from six genetic isolates from North-Eastern Italy
Authors: Modenini Giorgia , Mercuri Giacomo , Abondio Paolo , Nardone Giuseppe Giovanni , Santin Aurora , Tesolin Paola , Spedicati Beatrice , Pecori Alessandro , Pianigiani Giulia , Concas Maria Pina , Girotto Giorgia , Gasparini Paolo , Mezzavilla Massimo , Boattini Alessio 
Published: March 2024

Abstract

Background
A significant fraction of mammalian genomes is derived from transposable element (TE) sequences, constituting about half of the human genome, in which retrotransposons such as Alu, LINE-1 and SVA are particularly represented and some of them also have functional roles. Germline transposition of these elements generates polymorphisms between individuals and may be used to study association with phenotypes, inter-individual differences and natural selection. Italy presents an increased number of isolated villages and subpopulations when compared to other European groups, and these isolates provide a desirable study subject to understand the genetic variability of the Italian peninsula. Therefore, we focused on studying the association between polymorphic TEs, behavioral traits (tobacco use and alcohol consumption) and Body Mass Index (BMI) variations, which could lead to an increased risk of developing addiction-related or metabolic diseases, such as tobacco use disorder, alcoholism and obesity.
Results
We identified 12,709 polymorphic TEs in 589 individuals from six isolates: Principal Component Analysis and Admixture showed that while closely related to other European populations, the isolates tend to cluster amongst themselves and are dominated by drift-induced ancestral components. When performing association tests with GEMMA, several TEs were deemed as significantly associated with a behavioral trait (tobacco use or alcohol consumption) or with BMI variations. Finally, some of the significant TEs also act as expression/alternative splicing quantitative trait loci.
Conclusions
These results suggest that polymorphic TEs may significantly impact inter-individual and inter-population phenotypic differentiation, while also effectively functioning as variability markers and potentially having a role in susceptibility to medical conditions. In light of these results, isolates could be used as a “laboratory” to investigate this impact and further our understanding about the role of TEs on the human genome.
Chlorine/Chlorine dioxide-based Process for Decontamination of different Pesticides from Drinking Water Resources
Authors: Badawy Mohamed I. , Ali Mohamed Eid Mohamed 
Published: March 2024

Abstract

The removal of pesticides from drinking water sources is an important research topic. The current study was to comprehensively investigate chlorine (Cl2)/chlorine dioxide (ClO2)-based AOPs for oxidation of five pesticides. The factors affecting the degradation rate of different five pesticides were investigated. The kinetic study for degradation of two organophosphorus pesticides (OPPS) and three phenylurea herbicides was carried out. It was found that OPPs degradation by Cl2 is preceded faster in alkaline media, while phenylurea degradation is favourable at pH 7. The data obtained reveals the faster degradation of herbicides than OPPs using different oxidation process. The results reveal that combined UV/ClO2 system is an efficient and feasible alternative due to synergistic effect between UV and ClO2. The FU/oxidant values for the removal of chlorotoluron, maloran, pataren, bromophos and crucuron were calculated. The data obtained indicated that there is a synergistic improvement for advanced oxidation process (AOPs) efficiency removal of the studied pesticides.
Development and Validation of the Adult Sedentary Behavior Reduction Intention Questionnaire based on the Theory of Planned Behavior
Authors: Ye Jing , Yang Lili L. , Li Yaqin , Yang Yuting , Chen Siqing , Deng Shunfeng , Peng Zhihang , Zhou Tao , Yuan Qiao , Wang Chengcheng 
Published: March 2024

Abstract
Background
Sedentary behavior is gradually becoming the mainstream trend in people’s lifestyles, with a significant increase observed worldwide and across all age groups. The measure of adults’ intention to reduce sedentary behavior provides a significant reference for the intervention strategies. However, the measurement tool is lacking. Given that the Theory of Planned Behavior (TPB) serves as a robust psychosocial theory framework, widely applied in predicting various health behaviors, this study aims to extend this theory into the realm of sedentary behavior by developing and validating a questionnaire to evaluate adult intentions of reducing their sedentary behavior.
Methods
A preliminary item pool for the questionnaire was created through a literature review, followed by two rounds of Delphi expert consultation and a small-sample pilot study, resulting in the initial version of the questionnaire. A total of 316 adults with an average daily sedentary behavior duration of ≥6 hours were involved in the survey to determine its psychometric properties using reliability analysis, content validation, and confirmatory factor analysis.
Results
An initial version of the questionnaire with four dimensions (behavioral intention, subjective norms, attitudes, and perceived behavioral control) and 16 items was obtained. Subsequent psychometric property validation results showed that the overall Cronbach’s α coefficient for the questionnaire was 0.967, with Cronbach’s α coefficients for each dimension ranging from 0.911 to 0.950. The item-level content validity index (I-CVI) ranged from 0.813 to 1. The adjusted model indices were c2/df = 2.931, GFI = 0.906, AGFI = 0.857, IFI = 0.976, NFI = 0.965, TLI = 0.968, CFI = 0.976, and RMSEA = 0.078, all of which met the fitting criteria.
Conclusions
A theory-driven instrument is suitable for its use with Chinese adults to assess their level of intentions and the factors affecting the sedentary behavior, which provides the basis for future intervention studies.
Neuroprotective role of selenium nanoparticles against behavioral, neurobiochemical and histological alterations in rats subjected to chronic restraint stress
Authors: Elfakharany Sarah A. , Eskaros Samir S. , Azhary Nesrine M. El , Abdelmonsif Doaa A. , Zeitoun Teshreen M. , Ammar Gamal A.G. , Hatem Youssef A. 
Published: March 2024

Abstract

Chronic stress induces changes in the prefrontal cortex and hippocampus. Selenium nanoparticles (SeNPs) showed promising results in several neurological animal models. The implementation of SeNPs in chronic restraint stress (CRS) remains to be elucidated. This study was done to determine the possible protective effects of selenium nanoparticles on behavioral changes and brain oxidative stress markers in a rat model of chronic restraint stress. 50 rats were divided into three groups; control group (n = 10), untreated CRS group (n = 10) and CRS-SeNPs treated group (n = 30). Restraint stress was performed 6 hrs./day for 21 days. Rats of CRS-SeNPs treated group received 1, 2.5 or 5 mg/kg SeNPs (10 rats each) by oral gavage for 21 days. Rats were subjected to behavioral assessments and then sacrificed for biochemical and histological analysis of the prefrontal cortex and hippocampus. Prefrontal cortical and hippocampal serotonin levels, oxidative stress markers including malondialdehyde (MDA), reduced glutathione (GSH) and glutathione peroxidase (GPx), tumor necrosis factor alpha (TNF-α) and caspase-3 were assessed. Accordingly, Different doses of SeNPs showed variable effectiveness in ameliorating disease parameters, with 2.5 mg/kg dose of SeNPs showing the best improving results in all studied parameters. The present study exhibited the neuroprotective role of SeNPs in rats subjected to CRS and proposed their antioxidant, anti-inflammatory and anti-apoptotic effects as the possible mechanism for increased prefrontal cortical and hippocampal serotonin level, ameliorated anxiety-like and depressive-like behaviors and improved prefrontal cortical and hippocampal histological architecture.
Climate signals recorded by Picea wilsonii tree-ring density over 220 years in the eastern section of Qilian Mountain, China
Authors: Zhang Jing , Ma Long , Liu Tingxi , Sun Bolin , Wei Yingnan , Zhang Ziyue 
Published: March 2024

Abstract

Global climate change has had a profound impact on the ecological environment and economic and social development. Therefore, research revealing the pattern of climate change over a long historical period is urgently needed. This paper analyses and studies the characteristics of climate change in the typical area of the eastern Qilian Mountains (Xinglongshan area) over more than two centuries using the chronological data of the maximum latewood density of Picea wilsonii in this area. Correlation analysis of the modern hydroclimatic data revealed that there was a significant positive correlation between the chronology and the mean annual temperature (r = 0.77, P < 0.001). Based on these data, we reconstructed the mean annual temperature of the study area for the period of 1801–2020. Characteristic analysis revealed that the reconstruction results of the mean annual minimum temperature are reliable. The study area has experienced 3 warm periods and 3 cold periods in the past 220 years, during which the cold period in the 19th century and the warm period in the 20th century were both consistent with recorded historical data. The cycle analysis results showed that the reconstructed mean annual temperature series exhibited cycle distribution characteristics of 11 ~ 16a, 36 ~ 45a, and 65 ~ 70a. In addition, large-scale spatial correlation analysis revealed that the reconstructed series could also reveal the climate change characteristics of the area around Xinglong Mountain. The mean annual temperature series for typical areas in the eastern section of the Qilian Mountains reconstructed in this paper reveal the climate change characteristics of this area during the historical period and provide references for global climate change studies.