bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Ambidextrous Leadership on Organizational Performance: A Meta-Analysis
Authors: Beh Tayebeh Shayan 
Published: November 2023

Abstract

In today's dynamic business environment, the inclination towards an effective leadership strategy, particularly in light of experiences with economic crises, is an inescapable fact. Over the past two decades, Ambidextrous Leadership has gained significant attention and has secured a respected place within organizations. Although this leadership style has proponents and opponents, this study aimed to arrive at a reliable conclusion through a meta-analysis. Initially, a systematic review, a prerequisite for any meta-analysis, was conducted by searching 10 scientific databases for empirical research on the relationship between Ambidextrous Leadership and performance. This review encompassed 5672 articles, of which 203 were coded as relevant to the research relationships, and 19 were ultimately identified as eligible for meta-analysis. In the subsequent stage, data were extracted from each article individually, and the effect sizes obtained from the systematic review of reports were subjected to meta-analysis to determine the overall effect size. The meta-analysis results confirmed the research hypotheses, indicating a significant positive correlation between Ambidextrous Leadership and organizational performance. Additionally, longitudinal studies were analyzed to assess the long-term impact of Ambidextrous Leadership on organizations. Furthermore, systematic and precise coding addressed the research questions regarding investigating Ambidextrous Leadership at different organizational levels and performance combinations.
Reaction Mining for Reaction Systems
Authors: Męski Artur , Koutny Maciej , Mikulski Łukasz , Penczek Wojciech 
Published: November 2023

Abstract

Reaction systems are a formal model for computational processing in which reactions operate on sets of entities (molecules) providing a framework for dealing with qualitative aspects of biochemical systems. This paper is concerned withr eaction systems in which entities can have discrete concentrations, and so reactions operate on multisets rather than sets of entities. The resulting framework allows one to deal with quantitative aspects of reaction systems, and a bespoke linear-time temporal logic allows one to express and verify a wide range of key behavioural system properties.
In practical applications, a reaction system with discrete concentrations may only be partially specified, and the possibility of an effective automated calculation of the missing details provides an attractive design approach. With this idea in mind, the current paper discusses parametric reaction systems with parameters representing unknown parts of hypothetical reactions. The main result is a method aimed at replacing the parameters in such a way that the resulting reaction system operating in a specified external environment satisfies a given temporal logic formula.
This paper provides an encoding of parametric reaction systems in SMT, and outlines a synthesis procedure based on bounded model checking for solving the synthesis problem. It also reports on the initial experimental results demonstrating the feasibility of the novel synthesis method.
Water-inrush mechanism and application in the hidden faults of floor during mining
Authors: Sun Yanhe , Zhu Hongli , Sun Chao , Sun Lilei , Sun Yixuan 
Published: November 2023

Abstract
Mine water damage has put the safe back mining of coal resources under serious threat, leading to a series of irrational mining behaviours of coal resources, which affects the safety of coal mines and at the same time has a serious impact on the environment. Fault structures are an important cause of water inrush from the coal mine floor. Studying the activation mechanism of the hidden faults of floor water inrushes is significant for the prevention and control of these accidents. Hidden faults’ activation law was explored under the highly confined water pressure and mining using a method that combines numerical simulations and geophysical exploration technology, and targeted measures were developed for prevention and control. The results demonstrate that under confined water and mining, shallow and deep fractures of hidden faults develop in floor. Fracture development has high probability toward the cutting hole direction. A smaller influence of the confined water pressure results in a water-inrush risk, a lower plastic failure of the floor, and an activation degree of the hidden faults. The bottom plate has a water-inrush threat. Waterproof floor layer’s grouting reinforcement can effectively prevent and control floor water inrushes.
The effects of nicotine on microRNA-124 expression in the bile duct ligation- induced liver fibrosis in rats
Authors: Hajiasgharzadeh Khalil , Shahabi Parviz , Karimi-Sales Elham , Alipour Mohammad Reza 
Published: November 2023

Abstract
Background
Smoking causes a variety of adverse effects on organs that have no direct contact with the smoke itself such as the liver. Nicotine as a main compound of smoking may exert its effects by changing the expression of microRNAs (miRNAs). This study was conducted to further investigate the molecular mechanisms of miRNA-dependent effects of nicotine in an animal model of liver fibrosis.
Methods
First, the bile duct ligation (BDL) approach was used in male Wistar rats to create a model of liver fibrosis. Then, the effects of nicotine administration on miRNA-124 expression, as well as fibrosis and inflammation-related genes were investigated using the quantitative Real-Time PCR method. The total bilirubin and liver enzymes activity levels were measured using the colorimetric assay. Also, the effects of nicotine on the process of liver fibrosis were investigated with histological studies.
Results
The development of liver fibrosis in BDL rats leads to a decrease in miRNA-124 expression. Also, a decrease in miRNA-124 expression has been seen in the groups administered nicotine. The decrease in the expression of miRNA-124 is accompanied by the increase in the expression of fibrotic and proinflammatory genes. Also, the significant increase in bilirubin and liver enzymes in fibrotic rats worsens with nicotine administration. The results of histological studies also confirm these results.
Conclusion
Considering that miRNA-124 is an anti-inflammatory miRNA, it can be concluded that the decrease in its expression due to nicotine exposure leads to an increase in inflammatory processes and subsequently to an increase in liver fibrosis.
Study on thermal behavior of an improved motorized spindle with water-lubricated hydrodynamic spiral groove bearings
Authors: Xu Ge , Huang Xun , Jiang Shuyun 
Published: November 2023

Abstract

The machine tool spindle supported by oil lubricated hydrostatic bearings suffers from high temperature rise when running at high speed. To overcome this issue, an improved motorized spindle supported by water-lubricated hydrodynamic spiral groove bearings is proposed in this study. The thermal model for the motorized spindle including heat generation model and heat dissipation model is established by aid of finite element method. A test prototype for the motorized spindle and an experimental device are developed to carry out the test of spindle thermal behavior. The temperature field and thermal deformation field of the motorized spindle are investigated by numerical simulation and experimental measurement. Finally, a comparative study of thermal behavior is conducted between the proposed spindle with herringbone groove journal bearings (HGJBs) and the replacement spindle with plain journal bearings (PJBs). The result indicates that the water-lubricated hydrodynamic spiral groove bearings can decrease the temperature rise of motorized spindle; and the thermal design for the proposed motorized spindle supported by HGJBs is effective.
Reevaluation of the requirement of adjuvant therapy for T2N0M0 gastric cancer following gastrectomy: a SEER database analysis
Authors: Zhang Xin , Fu Hongbing , Leng Feng , Yan Ronglin , Wang Weijun 
Published: November 2023

Abstract
Background
Determining the requirement for adjuvant therapy in gastric cancer (GC) patients with stage T2N0M0 remains controversial.
Methods
An eligible population cohort was identified from the Surveillance, Epidemiology, and End Results (SEER) database. The Kaplan-Meier method was used to assess the impact of adjuvant treatment modalities on overall survival (OS) and cause-specific survival (CSS). Multivariate Cox regression and competing risk model were used to investigate the prognostic factors for CSS. Propensity score matching (PSM) analysis was carried out to reduce the selection bias.
Results
A total of 776 patients were finally included. The 5-year OS for patients receiving surgery alone, adjuvant CRT, and adjuvant CT were 64.0%, 74.3%, and 69.0%, respectively (p = 0.004). The 5-year CSS for patients receiving surgery alone, adjuvant CRT, and CT were 73.0%, 84.3%, and 76.9%, respectively (p = 0.081). After PSM, no significant intergroup difference was observed on OS or CSS. When stratified by the number of lymph node (LN) examined, adjuvant CRT was shown to significantly increase the CSS than surgery alone in patients with LN examined ≤ 15 (p = 0.044), rather than in those with sufficient LN dissected (p = 0.590). Multivariate Cox analysis demonstrated that ethnicity, marital status, and number of LN examined > 15 were independent prognostic factors for CSS, of which number of LN examined > 15 was further validated by the competing risk model (SHR 0.701, p = 0.035).
Conclusions
Adjuvant therapy is not necessary for T2N0M0 GC patients undergoing standard radical gastrectomy, but adjuvant CRT should be reserved for those who have insufficient LN dissected patients.
The Addictive and Neurotoxicological Evaluation of Cannabis sativa, male Carica papaya, Nicotiana tabacum and Datura stramonium Alkaloid Extracts via Neuroinflammatory, Neurotransmitter and Oxidative Systems
Authors: Fasakin Olamide Wilson , Oboh Ganiyu , Ademosun Ayokunle Olubode 
Published: November 2023

Abstract
Drug addiction is a relapsing and chronic brain ailment that is accompanied by habitual, incontrollable and pathological pattern of substance seeking and usage despite the associated severe negative social and health consequences. This study evaluated the addictive and neurotoxicological evaluation of Cannabis sativa, male Carica papaya, Nicotiana tabacum and Datura stramonium alkaloid extracts via neuroinflammatory, neurotransmitter and oxidative systems. For 90 days, the alkaloid extracts were orally administered to experimental rats and neurobehavioral paradigms were evaluated on day 91. Rats were sacrificed and striatum homogenate prepared. Expression of addition and neurotoxicity-related genes, alongside biochemical neurotransmitter and cytokine metabolisms were evaluated. Result established the addictive and neurotoxicological potentials of the alkaloid extracts via behavioural paradigms, coupled with inflammatory, monoaminergic, apoptotic, cholinergic, oxidative and glutamatergic neurotransmission systems modulations. However, observed neurotoxicity of the psychoactive plants’ alkaloids was not directly proportional to their addictiveness as the psychoactive plants ranked AECS > AENT > AEDS > AECM in addictiveness but ranked AEDS > AENT > AECS > AECM for toxicological potentials, as measured using related behavioural, neurotransmitter, apoptotic and inflammatory systems. Conclusively, the toxicological effects of the psychoactive plants’ alkaloids are mostly expressed at high doses.
Unraveling intragenomic polymorphisms in the high-quality genome of Hypoxylaceae: A comprehensive study of the rDNA cistron
Authors: Cedeño-Sanchez Marjorie , Cheng Tian , Lambert Christopher , Kolarík Miroslav , Kuhnert Eric , Cox Russell J. , Kalinowski Jörn , Verwaaijen Bart , Stadler Marc 
Published: November 2023

Abstract

Sequencing ribosomal DNA loci, such as ITS and LSU are among the first steps to characterize and identify newly isolated fungal strains. Increasing substantial doubt has recently been raised concerning the unequivocal suitability of using this sequence information for inferring inter- and intraspecific relationships, as especially the ITS locus was repeatedly shown to harbor high intragenomic plasticity. The evolutionary mechanisms leading to this phenomenon are poorly understood, but this is about to change, owing to the availability of third generation sequencing techniques. The current study attempts a comprehensive analysis of rDNA cistrons in the genomes of over 40 selected species of Hypoxylaceae (Xylariales), using a combination of 2nd generation (Illumina) and 3rd generation sequencing technologies (Oxford Nanopore), along with extensive usage of bioinformatic tools to obtain high-quality genomes. Our findings revealed high intragenomic polymorphisms in distinct Hypoxylaceae species, indicating the presence of deep rDNA paralogs. Phylogenetic inference of the ITS rDNA showed low support for the primary clades within Hypoxylaceae, while inference using the protein encoding gene RPB2 showed better support. We also found that proteinogenic genes are not prone to intraspecific and intragenomic polymorphisms as much as the rDNA loci. Our study highlights the limitations of solely relying on rDNA cistron as a barcode for fungi. We propose TUB2 as a new primary barcoding marker for Hypoxylaceae and other Xylariales. Moreover, we demonstrate the feasibility to retrieve some DNA loci that had hitherto not been used for classical phylogenetic studies (such as TEF1) in Xylariales directly from genomes without the necessity to work with primers.
A Comprehensive Survey on Image Captioning for Indian Languages: Techniques, Datasets, and Challenges
Authors: Jayaswal Vishal , Rani Rajneesh , Kaur Jagdeep 
Published: November 2023

Abstract

In image captioning, we generate visual descriptions from an image. Image Cap-tioning requires identifying the key entity, feature, and association in an image. There is also a requirement to generate captions that are syntactically and semantically correct. The process of image captioning requires computer vision and natural language processing. In the past few decades, a substantial attempt has been made to generate the caption for images. In this survey article, we are going to present an extensive survey on image captioning for Indian Languages. To summarize recent research work in image captioning, first, we briefly review the traditional approach to image captioning depending on template and retrieval. Further deep-learning approaches for image captioning are concentrated which are classified as encoder-decoder architecture, attention-based approach, and transformer architecture. Our main focus in this survey is based on image cap-tioning techniques for Indian languages like Hindi, Bengali Assamese, etc. After that, we analyze the state-of-the-art approach on the most widely dataset i.e. MS COCO dataset with their strengths, limitations, and performance metrics i.e. BLEU, ROUGE, METEOR, CIDEr, SPICE. At last, we explore discussion on open challenges and future direction in the field of image captioning.
Evolution of Leadership Mental Models of Final Year Medical and Nursing Students: A Mixed-Methods, Simulation-Based Team Training Study
Authors: Díaz-Guio Diego Andrés , Maestre José María , Ruiz-Ortega Francisco Javier , Gómez-Candamil María Eugenia , Díaz-Gómez Ana Sofía , Szyld Demian 
Published: November 2023

Abstract

Background
Final year health sciences’ students work in clinical teams. Medical errors in are associated with teamwork and communication failures. Non-technical skills performance gaps are related to medical error. Little is known about the metacognitive strategies of final year clinical students and about how their mental models develop and evolve. Research in non-technical skills has focused on performance, and not on the underlying causes of actions such as mental models.
Methods
We conducted a mixed, parallel convergent study with final year medicine and nursing students. In the instructional design, leadership skills (maintain active listening, give clear commands, allow others to participate in decision-making, prioritize essential tasks) and metacognitive strategies (planning, monitoring and control) were included in simulated medical emergency scenarios with participants performance measurements for four weeks.
Results
The median of the initial performance was 25 (IQR: 25), in the second week it was 25 (IQR: 6–50), in the third week it was 50 (IQR: 31–50), and in the fourth week it was 75 (IQR: 75–100). No significant difference was found in performance by program, gender or age. Performance significantly improved by the fourth week of training (p: <0.0001). Conceptual mastery was achieved after the first week, multidimensional mental models went from being inhibiting to being enabling between the third and fourth week.
Conclusions
The conceptual domain of leadership is not associated with performance improvement; individual and team performance improves when multidimensional mental models evolve from being inhibiting and become enabling, possibly catalyzed by the conscious reflection and the mastery of metacognitive strategies.
Uncovering the Impact of Disasters on the Health and Wellbeing of Older Adults: Insights from Longitudinal Ageing Study in India
Authors: Prasad Jitender , Rajak Rahul , Sekher T. V. , Nagargoje Varsha P. , Nirbhav  
Published: November 2023

Abstract

This study analyzes the impact of disasters on the health of older adults in India, using data from LASI Wave-1 (2017-18) with 2,487 participants. Descriptive and multivariate analyses examined the link between health outcomes and disasters in older adults. The research reveals that drought, floods, and earthquakes are prevalent disaster, while traffic accidents and building collapses are significant man-made disasters. Older adults exposed to disasters caused by natural hazards experienced higher rates of psychological trauma, chronic illness, and physical disabilities. Man-made disasters were associated with increased risk of physical disability and chronic illness. Disasters were strongly linked to psychological trauma. This study emphasizes the importance of disaster preparedness and response strategies tailored to the needs of older adults. It calls for policies to improve healthcare access, social support, and disaster resilience, particularly in rural areas. Conducted through personal interviews, this research offers valuable insights for shaping policy and disaster management.
Chicken feather-derived carbon electrodes for capacitive deionization using poly(vinyl alcohol)-glutaraldehyde as the binder
Authors: Samejo Bakhtiar Ali , Abro Naveed Qasim , Memon Najma , Upoma Nusrat Jahan , Habib Ahsan 
Published: November 2023

AbstractCapacitive deionization (CDI) is an emerging technology which is being developed as a promising desalination alternative for charged species from salt water, being electrode materials as key drivers for highly efficient process. Here, we describe synthesis of highly porous activated carbons from chicken feathers using pyrolysis followed by chemical activation with potassium hydroxide in a 1:4 ratio to produce sustainable, scalable, and sustainable carbon electrodes for CDI. Poly (vinyl alcohol) (PVA) was used as binder to modify chicken feather activated carbons (CF-AC), which were subsequently crosslinked with glutaraldehyde (GA) to produce CF-AC-PVA-GA polymers through acetylation reaction. This resulted from improving hydrophilicity of CF-AC-PVA-GA polymers to raise the electrodes' resistance. Prepared materials were characterized using scanning electron microscopy, Fourier transform infrared, X-ray diffraction, Brunauer-Emmett-Teller and cyclic voltammetry. Fabricated CDI electrodes were used to investigate their performance for desalination, and exhibited different electrosorption capacity at different applied potentials. Modified electrodes possessed good stability in shear conditions and CDI process was stable and reproducible around 16 electrosorption cycles. Salt removal capacity of the modified electrodes (CF-AC-PVA-GA) was found to be 3.89 mg g−1. The obtained outcomes offer important considerations of ions electrosorption and help advancing CDI system for water treatment and desalination.
Combining Network Pharmacology, Molecular Docking and Preliminary
Experiments to Explore the Mechanism of Action of FZKA Formula on
Non-small Cell Lung Cancer
Authors: Liu Zhuixing , Zhang Jie , Liu Jinpeng , Guo Lihong , Chen Guangwei , Fang Yu , Yang Yang 
Published: November 2023

Background:
Clinically, Fuzhengkangai formulation (FZKA) has been proven to have
significant therapeutic effects on non-small lung cancer (NSCLC), although the mechanism is unknown.
We aimed to explore the potential mechanism of FZKA in the treatment of NSCLC in this
study.

Methods:
We obtained the active components and targets of FZKA by TCMSP. The target genes
of NSCLC were searched from OMIM, GEO (GSE18842), and GeneCards database. Cytoscape
(3.7.2) software was used to construct a “drug-compound-cross-target interaction” interaction network,
and the STING database was used to analyze previous cross-target interactions. Meanwhile,
the results were visualized and processed by performing GO enrichment analysis and KEGG signaling
pathway enrichment analysis at the target site. The core targets were docked with active
components through AutoDockTools-1.5.6 software. Finally, we used cellular experiments to validate
the bioinformatics predictions.

Results:
There were 40 active and 465 potential genes from the TCMSP database. Key active
chemicals, namely Quercetin, Kaempferol, Luteolin, and Tanshinone IIA, and 176 targets were
deemed as targets of FZKA against NSCLC by PPI network analysis. GO and KEGG enrichment
analyses suggest that FZKA acts primarily through the PI3K-AKT and MAPK signaling pathways
in the treatment of NSCLC. Moreover, cellular assays showed that Quercetin, Kaempferol, Luteolin,
and Tanshinone IIA not only reduced the viability of A549 cells and promoted apoptosis but
also significantly decreased the p-AKT/AKT and p-ERK1/2/ERK1/2 ratios.

Conclusion:
Our data suggested that FZKA can be involved in the treatment of NSCLC through
multiple components, targets and pathways.