bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting the Classification of Soil Systems by Using Python Programming
Authors: Krishna T. Sai , Chittaranjan M. , Rafi Shaik Mohammad , Priya M. Yamini , Babu G. Kalyan , Bhogesh B. , Prasanth G. 
Published: March 2024

Abstract
Soil classification, as delineated by recognized systems such as the Indian Standard (IS) classification, Textural Classification, and the Unified Soil Classification System (USCS), constitutes a fundamental aspect of soil science and engineering. These systems furnish a structured framework for organizing soils according to their physical and mechanical attributes, facilitating the comprehension and comparison of soil traits across diverse regions and projects. In recent times, the integration of computational tools, notably Python programming, has empowered researchers to refine the precision and efficacy of soil classification endeavors. Python's adaptability and rich libraries render it a favored platform for constructing predictive models capable of projecting soil classifications based on various input parameters, including sieve analysis outcomes, plastic limit, liquid limit, and other pivotal soil characteristics. The present research initiative aims to harness Python programming to prognosticate soil system classifications, with specific emphasis on the IS classification, Textural Classification, and the USCS. By assimilating the stipulated guidelines and criteria from these classification systems, the study endeavors to formulate a comprehensive predictive model adept at accurately classifying soils into their respective categories based on established soil parameters. Leveraging Python programming furnishes researchers with a robust medium for preprocessing soil data, deploying machine learning algorithms, and assessing model efficacy in predicting soil classifications. By leveraging Python's data manipulation and analytical capabilities, this research aspires to furnish an advanced framework for enhancing the efficiency and precision of soil classification processes in alignment with the IS classification standards.
Determinants of adolescent pregnancy in Zambia: A secondary data analysis of 2018 Zambia Demographic and Health Survey
Authors: Mbele Whiteson , Jassey Babucarr 
Published: March 2024

Abstract

Background
Globally, complications from pregnancy and childbirth are leading causes of death among adolescent girls aged 15–19 years. In Zambia, adolescent pregnancy contributes to adverse maternal and newborn outcomes, perpetuating intergenerational cycles of poverty and limiting opportunities for education and economic empowerment among young mothers. This study explored factors associated with adolescent pregnancy in Zambia.
Methods
This cross-sectional study utilized data from the 2018 Zambia Demographic and Health Survey. A total of 2,996 adolescents aged 15–19 years were included in the analysis. This study utilized the socioecological model to select potential influencing factors for adolescent pregnancy. Descriptive and multivariable analyses were conducted using SPSS version 22 software.
Results
The prevalence of adolescent pregnancy was 29.9%. Most adolescents had no sexual partners (59.0%), and 49.7% had initiated sexual intercourse. Factors independently associated with adolescent pregnancy included increasing age, marital status (AOR = 5.4; 95% CI: 3.7, 7.9), knowledge about contraception (AOR = 3.4; 95% CI: 1.2, 9.8), use of contraception (AOR = 3.4; 95% CI: 1.2, 9.8), literacy level (AOR = 1.7; 95% CI: 1.1, 2.6), and exposure to family planning messages in newspapers or magazines (AOR = 2.6; 95% CI: 1.1, 6.4). Other factors included wealth status (AOR = 2.3; 95% CI: 1.2, 4.1 for richer versus richest, AOR = 3.8; 95% CI: 1.9, 7.6 for middle versus richest, AOR = 3.4; 95% CI: 1.7, 6.8 for poor versus richest, AOR = 4.2; 95% CI: 2.0, 8.9 for poorer versus richest) and age at first sexual intercourse (AOR = 2.1; 95% CI: 1.3, 3.4 for 15–17 versus 18–19, AOR = 3.8; 95% CI: 2.1, 6.9 for less than 15 versus 18–19).
Conclusion
Key determinants of adolescent pregnancy in Zambia include older age, early marriage, low literacy, low socioeconomic status, early sexual initiation, and limited exposure to family planning messages via newspapers. Interventions to address this problem should include behavioral change communication strategies that discourage early sexual debut, especially among older adolescents. Furthermore, leveraging media platforms, particularly newspapers, in disseminating accurate messages on contraception and enforcing statutory laws on the legal age of marriage are crucial efforts in addressing this problem.
“Preconceptional paternal caloric restriction of high-fat diet-induced obesity in Wistar rats dysregulates the metabolism of their offspring via AMPK/SIRT1 pathway.”
Authors: Rachakatla Anuradha , Myadara Srinivas , Motha Sathyavani , Kondeti Suresh , MN Muralidhar , Rao Kalashikam Rajender 
Published: March 2024

Abstract
Background
Obesity is a metabolic syndrome whereallelic and environmental variations together determine the susceptibility of an individual tothe disease. Caloric restriction (CR) is a nutritional dietary strategy recognized to be beneficial as a weight loss regime in obese individuals.Preconceptional parental CR is proven to have detrimental effects on the health and development of their offspring. As yet studies on maternal CR effect on their offspring are well established but paternal CR studies are not progressing. In current study, the impact of different paternal CR regimes in diet-induced obese male Wistar rats (WNIN), on their offspring concerning metabolic syndrome are addressed.
Methods
High-fat diet-induced obese male Wistar rats were subjected to caloric restriction of 50% (HFCR-I) and 40% (HFCR-II) and then they were mated with normal females. The male parent’s reproductive function was assessed by sperm parameters and their DNMT’s mRNA expression levels were also examined. The offspring’s metabolic function was assessed by physiological, biochemical and molecular parameters.
Results
The HFCR-I male parents have shown reduced body weights, compromised male fertility and reduced DNA methylation activity. Further, the HFCR-I offspring showed attenuation of the AMPK/SIRT1 pathway, which is associated with the progression of proinflammatory status and oxidative stress. In line, the HFCR-I offspring also developed altered glucose and lipid homeostasis by exhibiting impaired glucose tolerance & insulin sensitivity, dyslipidemia and steatosis. However, these effects were largely mitigated in HFCR-II offspring. Regarding the obesogenic effects, female offspring exhibited greater susceptibility than male offspring, suggesting that females are more prone to the influences of the paternal diet.
Conclusion
The findings highlight that HFCR-I resulted in paternal undernutrition, impacting the health of offspring, whereas HFCR-II largely restored the effects of a high-fat diet on their offspring. As a result, moderate caloric restriction has emerged as an effective weight loss strategy with minimal implications on future generations. This underscores the shared responsibility of fathers in contributing to sperm-specific epigenetic imprints that influence the health of adult offspring.
Assessing the relationship between mental workload, sleep quality, and work fatigue among oil and gas workers in Jambi Province: A Partial least squares-structural equation modeling (PLS-SEM)
Authors: Kusmawan David 
Published: March 2024

Abstract
Background: Occupational fatigue among oil and gas workers can have perilous consequences related to safety, health, economy, and wellbeing aspect. This makes it necessary to discover major factors related to fatigue and implement appropriate prevention programs and education. Therefore, this study aimed to investigate the relationship between mental workload, sleep quality, and occupational fatigue in oil and gas office workers in Jambi Province.
Design and methods: Mental workload, sleep quality, and occupational fatigue were measured using the NASA-Total Load Index (TLX), the Pittsburgh Sleep Quality Index (PSQI), and the Indonesian Questionnaire Measuring Feelings of Work Fatigue (KAUPK2), respectively. A Partial Least Square-Structural Equation Modeling (PLS-SEM) approach was used to determine the association between mental workload, sleep quality, and occupational fatigue.
Results: Out of the 117 oil and gas workers in Jambi Province who participated in this study, 58.6% were male, 54.3% had Senior High School or less, 85.3% were not smoking, and 88.8% were married. The mean with a standard deviation of body height, weight, and mass index were 165.35 ± 5.46 cm, 64.65 ± 6.89 kg, and 23.64 ± 2.23, respectively. Respondents had working experience from 0.17 to 34 years with a mean of 16.23 and a standard deviation of 8.93 years. The PLS-SEM model illustrated that the direct effect of mental workload on occupational fatigue was not significant (path coefficient: 0.179; p <0.036). Meanwhile, the mental workload had a significant effect on sleep quality (path coefficient: -0.405; p 0.000), which significantly affected fatigue (path coefficient: -0.035; p = 0.709). This indicated that the effect of workload on fatigue was fully mediated by sleep quality.
Conclusions: The effect of sleep quality was very significant to overcome the fatigue level of an employee when the mental workload increases. This study revealed that occupational fatigue may be reduced by implementing mental workload coping strategies, regularly measuring, and a sleep hygiene program among oil and gas workers.
Harnessing the Power of Pressurized Separation: Revolutionizing Crude Oil Processing and Storage for Optimal Performance.
Authors: JOHNSON NNADIKWE , Sunday Ume Cyril , Andrew . Nwosi Hezekiah 
Published: March 2024

Abstract
The main goal of this research was to simulate a high-pressure (HP) separator to assess how changes in operational factors affect the properties of the products generated. The objective was to improve the efficiency of crude oil processing and storage by analyzing these impacts. The study involved comparing simulation outcomes from two software platforms, namely CHEMCAD and UniSim, to evaluate their effectiveness in modeling and optimizing the separation process.The research outcomes indicated a high level of agreement between the simulated results and actual industrial data, validating their accuracy and reliability. Furthermore, a comprehensive sensitivity analysis was carried out to fine-tune the process parameters, focusing on adjusting key gas stream properties such as temperature, pressure, and flow rate to optimize the separation process effectively. This analysis provided valuable insights into the system dynamics and highlighted areas for potential process enhancement. Notably, the study revealed that increasing the separator inlet pressure from 30 to 80 bar resulted in significant improvements in The adjustment in separator inlet pressure resulted in a notable reduction in the outlet gas flow rate from 1202 to 871.15 kmol/h, accompanied by an increase in the methane mole fraction from 0.69 to 0.74. Moreover, the rise in pressure led to an escalation in the preheater heating duty from 8.71 to 11.48 GJ/h. Conversely, the simulation findings demonstrated that raising the temperature of the separator feed stream from 43 to 83 ◦C caused a surge in the outlet gas stream flow rate from 871.15 to 1142.98 kmol/h.Furthermore, the variation in temperature led to a decrease in the methane concentration in the gas output and consequently lowered the heating duty required by the heat exchanger. Additionally, the research findings indicated that augmenting the inlet feed flow rate did not yield a substantial effect on the methane gas concentration in the final product..
Factors Influencing Accuracy, Interpretability and Reproducibility in the use of Machine Learning in Biology
Authors: Martinez Kaitlyn M. , Wilding Kristen , Llewellyn Trent R. , Jacobsen Daniel E. , Montoya Makaela M. , Kubicek-Sutherland Jessica Z. , Batni Sweta , Manore Carrie , Mukundan Harshini 
Published: March 2024

Abstract

The complexity and variability of biological data has promoted the increased use of machine learning methods to understand processes and predict outcomes. These same features complicate reliable, reproducible, interpretable, and responsible use of such methods, resulting in questionable relevance of the derived outcomes. Here we systematically explore challenges associated with applying machine learning to predict and understand biological processes using a well characterized in vitro experimental system. We evaluated factors that vary while applying machine learning classifers: 1) type of biochemical signature (transcripts vs. proteins), data curation methods (pre- and post-processing), and 3) choice of machine learning classifier. Using accuracy, generalizability, interpretability, and reproducibility as metrics, we found that the above factors significantly modulate outcomes even within a simple model system. Our results caution against the unregulated use of machine learning methods in the biological sciences, and strongly advocate the need for data standards and validation tool-kits for such studies.
Experimental Study of the Effect of Different Winglet Configurations on The Lift and Drag Characteristics of BWB Aircraft
Authors: Ishrak Md. Shah , Shuvo Md. Adnan Nur Bhuiyan , Tasnim Faria , Patnailo Sidharth Sankar 
Published: March 2024

Abstract

Sustainable aviation is currently a major concern since people are constantly relying on aircraft for transport over long distances in a short amount of time. Newer technologies are constantly being developed to enhance the aerodynamic efficiency of existing aircraft and improve fuel conservation. Winglets are one such technology. Our research focuses on how different winglet designs affect the lift and drag characteristics of blended-wing body aircrafts; the concept of these designs is currently being researched and compared to that of the base model with no winglet. The models were subjected to both computational and experimental analyses at three different velocities and six angles of attack to determine the lift and drag values resulting from various winglet configurations. The results showed that Split Fence had the best performance in both computational and experimental analyses, with an L/D of 10.608 at a 5° angle of attack during the CFD analysis compared to 5.52 for the base model. The Spikelet and the Spike Scimitar Winglet also showed high aerodynamic efficiency. The C-Winglet, however, showed poorer performance than did the other winglets. The insights from this research can help optimize winglet designs and explore the design of BWB aircraft, leading to substantial reductions in fuel consumption and carbon emissions in the aviation industry.
Pengembangan E-Modul Dinamika Partikel Model Guided Discovery Learning Berbasis Stem Untuk Meningkatkan Pemahaman Konsep Dan Kemampuan Kolaborasi Peserta Didik
Authors: Nafiyanto Naufal Rafiif , Pebriana Irvany Nurita 
Published: March 2024

Penelitian ini bertujuan untuk: (1) mengembangkan e-modul dinamika partikel model guided discovery learning berbasis STEM, (2) mengetahui kelayakan e-modul hasil pengembangan, (3) menentukan keefektifan e-modul hasil pengembangan terhadap pemahaman konsep dan kemampuan kolaborasi, dan (4) menentukan profil pemahaman konsep dan kemampuan kolaborasi setelah pembelajaran. Penelitian ini merupakan jenis penelitian RD dengan menggunakan model 4D. Hasil penelitian menunjukkan bahwa: (1) Dikembangkan e-modul dinamika partikel model guided discovery learning berbasis STEM menggunakan model 4D (2) E-modul hasil pengembangan memenuhi skor validasi 3,25 atau dalam kategori sangat baik, (3) E-modul hasil pengembangan efektif meningkatkan pemahaman konsep dengan effect size sebesar 1,29 atau kategori tinggi tetapi belum efektif meningkatkan kemampuan kolaborasi dengan effect size sebesar 0,19 atau kategori tidak signifikan. (4) Profil Pemahaman konsep untuk aspek interpretasi dan ekstrapolasi 4,91 dan 4,22 dengan kategori sangat baik. Untuk aspek komitmen, keaktifan, tanggung jawab, dan menghargai sebesar 3,28; 3,30; 3,31; dan 3,38 dengan kategori sangat baik.
Association Between Adherence to 24-Hour Movement Guidelines and Noncommunicable Disease Risk in Chinese Adults: Prospective Cohort Study
Authors: Huang Siyi , Gu Yuxuan , Ali Shahmir H , Xue Jingjing , Zhang Ronghua , Wen Xu 
Published: March 2024

Background
The increasing annual global deaths are attributable to noncommunicable chronic diseases (NCDs). Adhering to healthy lifestyle behaviors is associated with lower NCD risk, particularly among individuals with ample movement, enough sleep, and reduced sedentariness. Nevertheless, there are only few prospective assessments on the association of interactions between daily activities with NCD prevention, while the associations between adhering to Canadian 24-Hour Movement Guidelines (24HGs) for adults and NCD risks are still unknown. Compared to the general population, obese and overweight populations are at a higher risk of developing NCDs. Currently, it is unclear whether the health benefits of adhering to 24HGs differ between the general population and the obese population.

Objective
This study explores prospective associations between adherence to 24HGs and NCD risks by weight status among overweight and obese adults in China.

Methods
This decadal study consists of 9227 adults aged 35 years and older without any major NCDs at enrolment in the China Health and Nutrition Survey (2004-2011) and followed up until 2015. The exposure of interest was the overall score of compliance with 24HGs measured by participants’ self-report, wherein 1 point was assigned for compliance to each component, resulting in an aggregated score ranging from 0 to 3. The primary outcome was the first occurrence of major NCDs (high blood pressure, stroke, diabetes, cancer, and acute myocardial infarction). Log-binomial regression models were used to evaluate the associations.

Results
<strong>:</strong> Overall, 4315 males and 4912 females, with 25,175 person-years of follow-up, were included in our analyses. The average baseline age was 50.21 (SD 11.04) years. Among the overweight and obese groups, those adhering to 1 (risk ratio [RR] 0.37, 95% CI 0.19-0.74; P=.004), 2 (RR 0.37, 95% CI 0.19-0.72; P=.003), and 3 (RR 0.32, 95% CI 0.14-0.73; P=.006) recommendations of 24HGs had a significantly lower NCD risk than those not adhering to any of the activity guidelines. Among the normal or underweight groups, those adhering to 1 (RR 0.49, 95% CI 0.27-0.96; P=.03) and 3 (RR 0.40, 95% CI 0.17-0.94; P=.03) components had a significantly lower NCD risk than those not adhering to any of the activity guidelines.

Conclusions
In this prospective study, we found that active adherence to recommendations of 24HGs was associated with lower risks of NCDs, especially among overweight and obese participants. Additionally, overweight and obese individuals who met at least 1 component of 24HGs were at a significantly lower risk for NCDs, but this protective effect was not found among individuals in the normal and underweight groups. Individuals with excess body weight who tend to be more susceptible to health risks may gain greater health benefits than the general population by adhering to the recommendations of 24HGs.
The Role of Animal-Assisted Therapy in Enhancing Patients’ Well-Being: Systematic Study of the Qualitative and Quantitative Evidence
Authors: Pandey Ramendra Pati , Himanshu  , Gunjan  , Mukherjee Riya , Chang Chung-Ming 
Published: March 2024

Abstract

Background
Animal-assisted therapy, also known as pet therapy, is a therapeutic intervention that involves animals to enhance the well-being of individuals across various populations and settings.

Objective
This systematic study aims to assess the outcomes of animal-assisted therapy interventions and explore the associated policies.

Methods
A total of 16 papers published between 2015 and 2023 were selected for analysis. These papers were chosen based on their relevance to the research topic of animal-assisted therapy and their availability in scholarly databases. Thematic synthesis and meta-analysis were used to synthesize the qualitative and quantitative data extracted from the selected papers.

Results
The analysis included 16 studies that met the inclusion criteria and were deemed to be of moderate or higher quality. Among these studies, 4 demonstrated positive results for therapeutic mediation and one for supportive mediation in psychiatric disorders. Additionally, all studies showed positive outcomes for depression and neurological disorders. Regarding stress and anxiety, 3 studies indicated supportive mediation, while 2 studies showed activating mediation.

Conclusions
The overall assessment of animal-assisted therapy shows promise as an effective intervention in promoting well-being among diverse populations. Further research and the establishment of standardized outcome assessment measures and comprehensive policies are essential for advancing the field and maximizing the benefits of animal-assisted therapy.
Kontribusi Efikasi Diri terhadap Kesiapan Kerja pada Mahasiswa Akhir Jurusan Psikologi Universitas Negeri Padang
Authors: Rizal Alfi Hamdi , Guspa Anindra 
Published: March 2024

Penelitian ini bertujuan untuk melihat kontribusi dari efikasi diri terhadap kesiapan kerja pada mahasiswa akhir jurusan psikologi di Universitas Negeri Padang. Penelitian ini menggunakan pendekatan kuantitatif korelasional. Populasi dalam penelitian kali ini yaitu mahasiswa akhir jurusan psikologi di Universitas negeri padang dengan jumlah sampel sebanyak 75 orang. Sampel ditentukann dengan menggunakan teknik purposive sampling. Kemudian data dikumpulkan menggunakan skala General Self-Efficacy (GSE) yang telah diadaptasi kedalam bahasaIndonesia oleh Riangga, et all (2019) dan Skala kesiapan kerja yang disusun oleh Kusumaputri (2018) berdasarkan aspek – aspek yang dikembangkan oleh Brady (2010). Kemudia data yang telah diambil akan dianalisis dengan analisis regresi sederhana. Hasil penelitian menunjukkan bahwa terdapat kontribusi efikasi diri terhadap kesiapan kerja yaitu sebesar 5,4%.
The Effectiveness of Virtual Tour Museums on Student Engagement in Social Studies Learning in Elementary Schools
Authors: Ariesta Freddy Widya , Maftuh Bunyamin , Sapriya  , Syaodih Ernawulan 
Published: March 2024

During the era of digital transformation, the integration of technology into the field of education through teaching methods has become a necessity. This study aims to measure the effectiveness of museum virtual tour media on increasing student involvement in social studies learning in elementary schools. Research design uses quasi-experiment with pre-test and post-test control-group design. The research sample consisted of 64 students in the fifth grade. The dimensions and indicators used in the questionnaire are sourced from The Student Engagement in School Questionnaire (SESQ). The data used in this research comes from questionnaires, interviews, and documentation. The N-gain Score test was chosen to analyse the data, comparing the average scores between the experimental and control groups. The findings show that there is a disparity in the average engagement results between students who use virtual museum tour media and students who use traditional textbooks. The experimental class obtained an n-gain score of 0.683 which indicated an increase in student involvement in the high category, while the control class obtained an n-gain score of 0.193 which indicated an increase in student involvement in the low category. Thus, the use of virtual museum tour media is proven to be able to make a significant contribution in increasing student involvement, encouraging cultural appreciation, and strengthening students' sense of nationalism in elementary schools.