bluuebunny/crossref_metadata_2025_split huggingface dataset:
Silane Gas Production Through Hydrolysis of Magnesium Silicide by Hydrochloric Acid
Authors: Rasouli Azam , Kuhn Raphael , Lai Samson Yuxiu , Safarian Jafar , Tranell Gabriella 
Published: April 2024

AbstractMonosilane (SiH4) is a common precursor for the production of high-purity silicon for solar PV applications. As an alternative to carbothermic reduction of silica to produce metallurgical grade silicon with subsequent conversion to silane, an alternative route over magnesiothermic reduction of silica to Mg2Si has been explored in our earlier work. In the current work, silane gas production through hydrolysis of Mg2Si in HCl acid solution was studied. Two sources of Mg2Si were chosen: a commercial Mg2Si source and a Mg2Si source produced through magnesiothermic reduction of high-purity natural quartz. Effects of various parameters on the hydrolysis of Mg2Si, including different experimental setups, temperature of the acid solution, acid concentration, reaction time, and relative amounts of reactants were studied. The evolution of produced gases was determined by two different methods: firstly, by passing the produced gas through a KOH solution to capture Si with subsequent analysis of the Si content in the KOH solution by inductively coupled plasma mass spectrometry and secondly, on-line gas analysis by GC–MS. The silane distribution between different silane species with reaction time was evaluated and the activation energy of silane formation was calculated. The results indicated comparable silane yields obtained from the on-line GC–MS method and KOH solution analysis method, as well as for commercial Mg2Si and the Mg2Si–MgO mixture produced through magnesiothermic reduction. Furthermore, adding HCl acid to Mg2Si in water led to higher SiH4 formation yield than adding Mg2Si to acid. However, the total silane yield for the two methods was similar at approximately 32%.
Graphical Abstract
Lessons from a Va Relational Approach: Embedding Indigenous Constructs for Classroom Practice
Authors: Ualesi Yvonne Maggie 
Published: April 2024

AbstractThere is increasing concern raised for youth not in education and employment or training (NEET). Subsequently there is an increased demand for both education and health services that support the development of positive youths’ identities, socioemotional and cognitive developmental needs, through youth mentoring strategies (Rhodes & DuBois, Current Directions in Psychological Science 17(4):254–258, 2008). Youth mentoring programmes are largely underpinned by Eurocentric approaches lacking consideration of diverse cultural needs of multi-ethnic under-served youth (Larson & Ngo, Journal of Adolescent Research 32:3–10, 2017). This article draws on data from a participant observational study highlighting how youth mentoring practice underpinned by a range of key Indigenous psychological constructs can be nurtured to improve classroom practice for kaiako (teacher, instructor). The context of investigation is focused on a youth mentoring programme in a tertiary learning environment at a large urban city of Aotearoa New Zealand that explored culturally responsive, sustaining and safe youth mentoring practice for Māori and Pacific/Pasifika rangatahi excluded from mainstream compulsory education.
A Local Line Optimization Model for Urban Rail Considering Passenger Flow Allocation
Authors: He Peng , Tang Hao , Chen Feng , Wang Zijia , Sun Ying , Yang Bobo , Wang Jin , Li Na 
Published: April 2024

AbstractIt is important to strengthen the research on urban rail transit (URT) existing line renovation strategies. In this paper, we investigate the optimization of bottlenecks that are less attractive but have strong travel demand in existing URT networks. A URT local line optimization model is constructed. The maximum passenger flow and minimum project cost are chosen as the optimization objective for the benefit of both passengers and operators, and several actual constraints are considered in the proposed model, such as the station interval. In order to obtain higher computational efficiency and accuracy, a passenger flow allocation method is embedded in a genetic algorithm with elitist preservation. Taking the local network of the Beijing URT as a case study, the calculation results show that the designed algorithm can quickly and effectively obtain the optimal solution, and the generated local line scheme is able not only to meet the regional travel demand, but also to optimize the connection relationship of the existing URT network. This study can provide a reference method for increasing the attraction of URT and optimization of existing URT networks.
The Effect of Civic Engagement on Different Dimensions of Well-Being in Youth: A Scoping Review
Authors: Mužík Michal , Šerek Jan , Juhová Dana Seryjová 
Published: April 2024

Abstract
Youth civic engagement is usually framed positively by existing literature, which finds that it can benefit young people’s well-being. Despite that, the literature lacks summarized evidence of the effects of various forms of youth civic engagement on different dimensions of well-being (i.e., psychological, emotional, social, and mental health). This scoping review identified 35 studies on this topic. Results demonstrated that social engagement (e.g., volunteering) generally positively affected psychological and social well-being and mental health. In contrast, the effects of other forms of civic engagement (i.e., protest action, conventional and online engagement) on these dimensions were more heterogeneous. Mixed evidence was found for the effects of all forms of civic engagement on emotional well-being. The issue of possible opposite effects, i.e., from well-being dimensions to civic engagement, was also addressed. They were found mainly for emotional well-being, which usually predicted civic engagement but not vice versa. Overall, this scoping review stresses the importance of distinguishing between different forms of civic engagement and between different dimensions of well-being in future research.
To behave or not (un)ethically? The meditative effect of mindfulness on statistics anxiety and academic dishonesty moderated by risk aversion
Authors: Eshet Yovav , Grinautsky Keren , Steinberger Pnina 
Published: April 2024

AbstractDespite the growing interest in mindfulness in higher education, the literature on its relation to decision-making under risk (i.e. academic misconduct) and statistics anxiety is scarce. The present research shall fill this gap. Based on the prospect theory, we assessed the mediating effect of mindfulness on the relationship between statistics anxiety and academic dishonesty moderated by risk aversion. Data were collected from 791 undergraduate students in six Israeli academic institutions studying for bachelor’s degrees in social sciences. Questionnaires included the following measures: risk behaviour according to the prospect theory framework, Mindful Attention Awareness Scale, Statistics Anxiety Rating Scale, Academic Misconduct Scale and sociodemographic variables. Correlations among these variables were explored. The data was analysed using Structural Equation Modelling (SEM). The results indicate that the variance in academic dishonesty is explained by students' statistics anxiety with a mediation of Mindfulness moderated by Risk Aversion. Mindfulness negatively affects Academic Dishonesty, while Risk Aversion has a significant positive effect on Mindfulness. Finally, among individuals with high statistics anxiety, Risk Averse individuals show significantly higher Mindfulness than Risk Seekers. We conclude that mindfulness-based interventions might be a constructive tool to reduce risk-taking and promote ethical decision-making among individuals who experience high levels of statistics anxiety. Furthermore, developing mindful skills may help individuals with higher anxiety levels neutralize these unwanted feelings and get along with their learning tasks. Hence, avoid academic unethical behaviours.
A Combustion-Driven Facility for Hypersonic Sustained Flight Simulation
Authors: Esposito Antonio , Lappa Marcello , Allouis Christophe 
Published: April 2024

AbstractThis study reports on the development of a new Blowdown-Induction Facility driven by two different Oxygen-Fueled Guns. The facility has been conceived and realized to simulate different flow conditions in the context of hypersonic sustained flight. Here the underlying principles are illustrated critically, along with a focused description of the various facility subsystems, their interconnections and the procedures specifically conceived to overcome some of the technical complexities on which this facility relies. Its performances are finally presented in relation to some prototype applications, together with an indication of the related limits, advantages and possible directions for future improvements.
Safety culture assessment in petroleum industry: cross sectional survey of workers safety performance in the Niger Delta Region, Nigeria
Authors: Ehiaguina Efua , Nnadi Brendan Chukwudi , Rangarajan Ravi , Moda Haruna Musa 
Published: April 2024

AbstractPoor safety culture influences workers safety behaviour, which in many situations leads to accidents and injuries, and the performance of workers can be improved only by strengthening the safety culture in workplaces. The present study evaluates the safety behaviour and its impact on the safety performance of oil and gas workers in Nigeria. Opinion of 462 oil and gas frontline workers from fifteen different oil and gas companies in Nigeria (Niger Delta) on safety culture was collected using an online survey questionnaire. Findings from the study show that there is a significant relationship between safety management and safety participation including safety compliance. Work experience did make significant direct estimated impact of safety participation and a non-significant direct estimated impact on safety climate. Age was found to have a significant estimated impact on safety compliance, but did not indicate direct significant role in safety participation. The study clearly indicates that safety culture influences workers’ safety behaviour in the Nigeria oil and gas sector and timely strengthening of workplace safety culture and visible management approach to safety is important for occupational safety improvement within the oil and gas industry. In addition, there is the need for policy realignment to aid in the promotion of safety culture and adherence to safety standards within the industry as practiced in other countries.
Pathway for Development and Validation of Multi-domain Endpoints for Amyloid Light Chain (AL) Amyloidosis
Authors: Signorovitch James , Zhang Jialu , Brown David , Dunnmon Preston , Xiu Liang , Done Nicolae , Hsu Kristen , Barbachano Yolanda , Lousada Isabelle 
Published: April 2024

AbstractImmunoglobin light chain (AL) amyloidosis is a rare disease in which a plasma cell dyscrasia leads to deposition of insoluble amyloid fibrils in multiple organs. To facilitate development of new therapies for this heterogenous disease, a public–private partnership was formed between the nonprofit Amyloidosis Research Consortium and the US Food and Drug Administration Center for Drug Evaluation and Research. In 2020, the Amyloidosis Forum launched an initiative to identify clinical trial endpoints and analytic strategies across affected organ systems and life impacts via specialized working groups. This review summarizes the proceedings of the Statistical Group and proposes a pathway for development and validation of multi-domain endpoints (MDEs) for potential use in AL amyloidosis clinical trials. Specifically, drawing on candidate domain-specific endpoints recommended by each organ-specific working group, different approaches to constructing MDEs were considered. Future studies were identified to assess the validity, meaningfulness and performance of MDEs through use of natural history and clinical trial data. Ultimately, for drug development, the context of use in a regulatory evaluation, the specific patient population, and the investigational therapeutic mechanism should drive selection of appropriate endpoints. MDEs for AL amyloidosis, once developed and validated, will provide important options for advancing patient-focused drug development in this multi-system disease.
Burden of Antimicrobial Resistance Among Women with Post-Partum Infections in Low-Middle Income Countries: A Systematic Review
Authors: Monari Caterina , Onorato Lorenzo , Coppola Nicola , Raviglione Mario C. B. , Gon Giorgia 
Published: April 2024

Abstract
Background
Due to the rising incidence of multidrug-resistant (MDR) pathogens, especially in Low-Middle-Income Countries (LMIC), post-partum infections represent a significant treatment challenge.

Methods
We performed a systematic review of the literature from January 2005 to February 2023 to quantify the frequency of maternal post-partum infections due to MDR pathogens in LMICs, focusing on methicillin-resistant Staphylococcus aureus (MRSA) and/or extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales. Secondary objectives: description of antimicrobials’ prescriptions.

Findings
We included 22 studies with 14,804 total bacterial isolates from 12 countries, mostly from WHO African-Region. Twelve papers described wound- and 10 puerperal-infections. Seven were high-quality articles. Seventeen studies reported data on MRSA, and 18 on ESBL-producing Enterobacterales. Among high-quality studies, MRSA ranged from 9.8% in Ghana to 91.2% in Uganda; ESBL-producing Enterobacterales ranged from 22.8% in Ukraine to 95.2% in Uganda. Nine articles, mostly on C-sections, described different protocols for antibiotic prophylaxis and/or post-partum treatment.

Interpretation
We described a high burden of post-partum infections caused by MRSA and/or ESBL-producing Enterobacterales in LMICs, but only a few studies met quality standards. There is an urgent need for high-quality studies to better describe the real burden of antimicrobial resistance in low-resource settings and inform policies to contain the spread of multidrug-resistant organisms.
Smoke Detection with Dual Convolutional Networks From Infrared Frames
Authors: Deng Li , Chen Qian , Sui Xiubao , Liu Quanyi , He Yuanhua 
Published: April 2024

AbstractIn many smoke detection fields, such as fire detection in confined space of aircraft cargo hold, the false alarm rate is still high. In the closed and dark environment of the confined space cabin, the traditional video smoke detection method is difficult to find the fire early because of the limitation of lighting conditions. The advantage of fire detection based on infrared video image is that it does not need lighting conditions and has better performance in dark environment. There is a rapid temperature rise process in the confined space at the beginning of the fire, which is more easily captured by infrared cameras. However, there is little research on infrared frame detection methods in confined space. Therefore, based on the limited space environment of aviation industry, this paper studies the smoke detection problem under the infrared framework, and proposes a high-precision fire and smoke image detection algorithm based on infrared double convolution neural network. By modeling the texture features of neural network and infrared smoke frames, and using video frames as an auxiliary means to increase the number of available training images, the problem of insufficient infrared video data sets is solved. The experimental results show that the detection effect of this method is better than other comparison algorithms in limited space, and the detection false alarm rate is effectively reduced.
Compliance to ventilator care bundles and its association with ventilator-associated pneumonia
Authors: Leong Yun Hao , Khoo You Liang , Abdullah Hairil Rizal , Ke Yuhe 
Published: April 2024

Abstract
Purpose
Ventilator care bundles are effective in the prevention of ventilator-associated pneumonia (VAP). However, the compliance of these bundles in intensive care units (ICUs) remains poorly studied. This study investigates the Medical Information Mart for Intensive Care (MIMIC)-IV cohort’s compliance with the Institute for Healthcare Improvement (IHI) bundle and its resulting association with VAP incidence.

Methods
This is a retrospective cohort study of the MIMIC-IV database. Patients with > 48 h of invasive mechanical ventilation (IMV) were included. Diagnosis of VAP was identified with the International Classification of Diseases (ICD)-9 and ICD-10 codes. Compliance rates to the IHI bundle were extracted. The association of the IHI bundle and its individual interventions with VAP incidence was analyzed with univariate and multivariate analysis.

Results
8270 patients were included, of which 1328 (16.1%) had VAP. 25 patients (0.3%) had full compliance to the IHI bundle. 137 patients (1.7%) received no interventions from the bundle. Gastroprophylaxis had the lowest (2.1%) while head elevation had the highest (89.3%) compliance rates. In patients receiving the IHI bundle, each additional intervention was associated with lower VAP incidence (OR [odds ratio] = 0.906, 95% CI [confidence interval] 0.847–0.969). Appropriate sedation levels (OR = 0.765, 95% CI 0.661–0.885) and the use of heat and moisture exchanger (HME) filters (OR = 0.862, 95% CI 0.745–0.998) were individually associated with reduced VAP incidence, while active humidification was individually associated with increased VAP incidence (OR = 1.139, 95% CI 1.001–1.296).

Conclusion
The use of the IHI bundle was associated with a lower incidence of VAP, but compliance with the bundle was poor. Appropriate sedation and HME filters were individually associated with reduced VAP incidence. Better compliance with the IHI bundle may reduce VAP rates in mechanically ventilated patients.

Graphical Abstract
Ultrasound diagnosis of cystic echinococcosis: updates and implications for clinical management
Authors: Tamarozzi F. 
Published: April 2024

Abstract
The diagnosis of cystic echinococcosis (CE) is based on imaging. Detection of a focal lesion with morphological characteristics of Echinococcus granulosus sensu lato metacestode is the starting point for the diagnostic workup. In organs explorable with ultrasound (US), this is the method of choice for both aetiological diagnosis of CE and staging of the CE cyst. Staging in terms of lesion morphology is also needed when serology is added to the diagnostic workflow when imaging alone is inconclusive. Finally, staging guides the clinical management of uncomplicated CE, especially in the liver. This commentary provides an overview of the most up-to-date evidence backing the above-mentioned role of US in the diagnosis and clinical management of CE. Finally, we outline future perspectives for the improvement of CE diagnosis.
Global Mariátegui
Authors: Drinot Paulo 
Published: April 2024

AbstractIn this commentary, I consider Mariátegui's globality. I begin by discussing his status as the pre-eminent Latin American Marxist. I then consider the fact that he continues to be ignored or marginalised by scholarship in English on Marxism and the global history of the Left. I note, however, that in recent years, ‘global’ interest in Mariátegui (i.e. beyond Latin America) has increased. This leads me to a consideration of two types of Mariátegui's globality. First, a globality produced by his growing purchase as an ‘epistemologist of the South’ which is extending the applicability of his thought beyond Latin America. And second, a globality expressive of his role as a global actor; as someone who (i) sought to experience life globally, (ii) drew on global ideas, or ideas with globalising (or universalising) ambitions, to make sense of his own (local) context, and (iii) operated as an original interpreter of the global.
Novel insight into the genetic diversity of strongylid nematodes infecting South-East and East Asian primates
Authors: Mason Bethan , Cervena Barbora , Frias Liesbeth , Goossens Benoit , Hasegawa Hideo , Keuk Kenneth , Langgeng Abdullah , Majewski Kasia , Matsumoto Takashi , Matsuura Keiko , Mendonça Renata , Okamoto Munehiro , Peter Steve , Petrzelkova Klara J. , Sipangkui Symphorosa , Xu Zhihong , Pafco Barbora , MacIntosh Andrew J.J. 
Published: April 2024

AbstractWith many non-human primates (NHPs) showing continued population decline, there is an ongoing need to better understand their ecology and conservation threats. One such threat is the risk of disease, with various bacterial, viral and parasitic infections previously reported to have damaging consequences for NHP hosts. Strongylid nematodes are one of the most commonly reported parasitic infections in NHPs. Current knowledge of NHP strongylid infections is restricted by their typical occurrence as mixed infections of multiple genera, which are indistinguishable through traditional microscopic approaches. Here, modern metagenomics approaches were applied for insight into the genetic diversity of strongylid infections in South-East and East Asian NHPs. We hypothesized that strongylid nematodes occur in mixed communities of multiple taxa, dominated by Oesophagostomum, matching previous findings using single-specimen genetics. Utilizing the Illumina MiSeq platform, ITS-2 strongylid metabarcoding was applied to 90 samples from various wild NHPs occurring in Malaysian Borneo and Japan. A clear dominance of Oesophagostomum aculeatum was found, with almost all sequences assigned to this species. This study suggests that strongylid communities of Asian NHPs may be less species-rich than those in African NHPs, where multi-genera communities are reported. Such knowledge contributes baseline data, assisting with ongoing monitoring of health threats to NHPs.
Multi-objective optimal trajectory planning for robot manipulator attention to end-effector path limitation
Authors: Ye Jintao , Hao Lina , Cheng Hongtai 
Published: April 2024

AbstractIn the process of trajectory optimization for robot manipulator, the path that is generated may deviate from the intended path because of the adjustment of trajectory parameters, if there is limitation of end-effector path in Cartesian space for specific tasks, this phenomenon is dangerous. This paper proposes a methodology that is based on the Pareto front to address this issue, and the methodology takes into account both the multi-objective optimization of robotic arm and the quality of end-effector path. Based on dung beetle optimizer, this research proposes improved non-dominated sorting dung beetle optimizer. This paper interpolates manipulator trajectory with quintic B-spline curves, achieves multi-objective trajectory optimization that simultaneously optimizes traveling time, energy consumption, and mean jerk, proposes a trajectory selection strategy that is based on Pareto solution set by introducing the concept of Fréchet distance, and the strategy enables the end-effector to approach the desired path in Cartesian space. Simulation and experimental results validate the effectiveness and practicability of the proposed methodology on the Sawyer robot manipulator.