bluuebunny/crossref_metadata_2025_split huggingface dataset:
A prospective study on the neonatal compications associated with prolonged premature rupture of membranes at a tertiary care hospital: A comperative analysis
Authors: Marzban Asghar , Moktari Samira , karamitanha Farzaneh , Sabouri Reza 
Published: September 2024

Abstract

Background: Premature rupture of the membranes (PROM) is a common complication during pregnancy, which leads to adverse effects in both mothers and newborns. The management of premature rupture of the amniotic sac is still controversial among physicians, which is associated with a wide range of maternal and neonatal complications. Expectant management might increase the risk of infection in both mothers and neonates. Therefore, in this study we aimed to investigate neonatal outcomes following prolonged PROM(PPROM).
Methods and material: This study is a prospective cross-sectional descriptive study. Based on the inclusion and exclusion criteria, 65 neonates with premature rupture of membranes longer than 18 hours and 65 neo-nates with premature rupture of membranes less than 18 hours were selected through random sam-pling.and included in the study through simple random sampling. After recording the demographic charac-teristics of the mothers and the neonates and the outcomes of the neonates, it was entered into the SPP version 22 software for statistical analysis. A significance level (p.value) less than 0.05 was considered significant
Results: Out of 130 neonates, 57.7% were male and 42.3% were female. 62.3% of the neonates were born by cesarean section and the rest by vaginal delivery. In the studied population, 43% were pre-term neonates and the rest were term. The mean birth weight was 2825.35 ±572.34 grams and The mean Apgar score at fifth minute was 8.8 ± 1.19. The incidence rate of early neonatal infection (EOI) was 26.2% (34 cases) and the in-hospital death rate was 3.8% (5 cases). Based on our findings, the association between the duration PROM with early onset infection and resuscitation was statistically significant (p.value<0.05). The mean Apgar score at 5th minute was significantly higher in neonates with PROM longer than 18 hours than neonates with PROM less than 18 hours. Moreover, no significant association was observed between the duration of PROM and in-hospital mortality of neonates.
Conclusion: Based on the findings of our study, it can be concluded that the increase in the duration of rupture of the amniotic sac until the onset of labor is associated with an increase in the rate of early onset neonatal infection, a low Apgar score in the fifth minute, and the need for higher levels of resuscitation. However, it is not associated with in-hospital mortality of newborns.
RPE Differentiation is a Selective Barrier Against Aneuploid hESC
Authors: Spits Claudia , de Deckersberg Edouard Couvreu , Lei Yingnan , Krivec Nusa , Delbany Diana Al , Huyghebaert Anfien , Janssens Charlotte , Regin Marius , Verhulst Stefaan , Grunsven Leo van , Movahedi Kiavash , Sermon Karen , Tsuiko Olga 
Published: September 2024

Abstract

In this study, we show that undirected differentiation of human embryonic stem cells (hESC) to retinal pigment epithelium (RPE) acts as a selective barrier against aneuploid cells. Large-scale omics analysis reveals that 3–6% of cells of genetically normal hESC cultures are aneuploid, none of which progresses through RPE differentiation except for cells with a gain of 1q. We show that while all homogeneously aneuploid hESC lines carrying an array of different abnormalities have impaired RPE differentiation, co-culture with genetically normal cells specifically rescues the differentiation of cells with a gain of 1q. In turn, these aneuploid cells have an in vitro growth advantage, and progressively take over the differentiating culture. Time-course analysis shows that, only when co-cultured, cells with a gain of 1q follow the same differentiation path as genetically normal cells, which support the mutant cells by secreting extracellular matrix and ligands promoting differentiation.
Excess Proton Diffusion in Bulk and Interfacial Water: Profound Anomalies Beneath Surface Normality
Authors: Laage Damien , Puente Miguel de la , Gomez Axel 
Published: September 2024

Abstract

Guiding the diffusion of excess protons in liquid water is a significant challenge in fields ranging from electrocatalysis to energy conversion in biological systems. Interfaces have been proposed to provide kinetically favored pathways for channeling protons between their source and sink. However, the mechanism and kinetics of proton diffusion at aqueous interfaces are far less understood compared to the bulk. Here, we use density functional theory-based deep potential molecular dynamics simulations to reveal that the interface exerts opposing effects on the diffusion coefficients of water and excess protons. We show that unlike their anomalously fast diffusion in the liquid, protons at the interface diffuse at the same rate as water. At the air/water interface, the excess proton remains localized on one water molecule at a time, but with a different surrounding hydrogen-bond arrangement than in the bulk. This facilitates fast back-and-forth proton rattling within a pair of water molecules but causes the slowdown of the proton hops which govern proton diffusion. We explain why the reduced hydrogen-bond coordination of interfacial water enhances water diffusion while hindering the proton transport rate-limiting formation of a hydrogen bond on the proton donor. Finally, we show how bulk-enhanced surface diffusion of excess protons exhibits different limiting regimes with important implications for aerosol chemistry, electrocatalysis and biochemistry.
Penalty Learning for Optimal Partitioning through Deep Learning Techniques
Authors: Nguyen Tung Lam 
Published: September 2024

Abstract

Changepoint detection or partitioning, a technique for identifying significant shifts within data sequences, is crucial in various fields such as finance, genomics, medicine, etc. Dynamic programming changepoint detection algorithms are employed to effectively identify the locations of changepoints within a sequence, which rely on a penalty parameter to regulate the number of changepoints. To estimate this penalty parameter, previous work uses simple models such as linear or tree-based models. This study introduces a novel deep learning method for predicting this penalty parameter, leading to demonstrably improved changepoint detection accuracy on large benchmark supervised labeled datasets compared to previous methods.
MEASURING THE KNOWLEDGE, ATTITUDE, SKILLS AND ASPIRATIONS OF COCOA FARMERS TOWARDS THE USE OF PESTICIDES
Authors: Acheampong Angela Otiwaa , Tham-Agyekum Enoch Kwame , Ankuyi Fred , Nimoh Fred , Okorley Ernest Laryea , Bakang John-Eudes Andivi , Frimpong-Manso Justice 
Published: September 2024

Identifying the scope of pesticide safety by examining farmers’ knowledge, attitudes, skills and aspiration (KASA) is a key step in developing suitable training strategies. Additionally, figuring out what influence’s farmers' KASA concerning pesticides might be a crucial step in developing sustainable legislation and initiatives. Here, we tested the hypothesis that farmers’ KASA is influenced by their socio-economic characteristics. We sampled 364 cocoa farmers using the multi-stage sampling procedure and analyzed the data using descriptive and inferential statistics. For knowledge, we found sex, years of experience in cocoa farming, access to extension services, and cooperative membership to be the key drivers. The following factors have a statistically significant effect on attitude: marital status, access to extension, membership in cooperatives and participation in training programmes. Eight variables: sex, years of education, farming experience, age of the cocoa farm, access to extension, access to premium, membership in cooperatives, and participation in training programs had a significant influence on farmers’ skills in safe pesticide usage. Sex, marital status, farming experience, farm age, access to extension and the number of extension contacts are the factors that influence farmers' aspirations for the safe use of pesticides. Our study advocates for maintaining or enhancing the KASA status of cocoa farmers regarding pesticide use through consistent extension activities with cooperative groups by the Ghana Cocoa Board.
INFLUENCE OF USER EXPERIENCE, INFORMATION SYSTEM, AND CONSUMER PRODUCT ON CONSUMER LOYALTY OF FRUIT AND VEGETABLE MOBILE APPLICATION
Authors: Karunia Karunia , Setiawan Budi , Riana Fitria Dina 
Published: September 2024

There are various obstacles in the development of fruit and vegetable mobile applications such as bad user experience, unresponsive service, inaccurate information, and products or prices that do not meet consumer expectations. This study analyzes the effect of user experience, information systems, and consumer products consumer loyalty through of fruit and vegetable online shopping mobile applications. This study uses a survey method by collecting data from 100 respondents selected by accidental sampling. The data in this study is analyzed using descriptive analysis and SEM-PLS. The results show that each variable, including user experience, information systems, and consumer products, positively and significantly affects the satisfaction variable. Furthermore, the direct effect of information systems, consumer products, and satisfaction variables on consumer loyalty is also positive and significant. However, the user experience variable has an insignificant effect on loyalty. The most influential variable was satisfaction. Therefore, customer satisfaction must be maintained and improved to achieve higher loyalty. Furthermore, the indirect effect of each variable which includes user experience, information systems, and consumer products, has a positive and significant effect on the loyalty variable through satisfaction as mediating variable. The most significant variable is consumer product. However, the average value of this variable is the lowest compared to the other variables. Therefore, companies need to focus more on maintaining and improving it. This research provides valuable insights for companies in developing mobile applications that can improve user experience, provide relevant information through information systems, and produce quality of consumer products to increase consumer satisfaction and loyalty in purchasing fruit and vegetables.
ADOPTION OF IMPROVED PRODUCTION TECHNOLOGIES AMONG RICE FARMERS IN WASE LOCAL GOVERNMENT AREA OF PLATEAU STATE, NIGERIA
Authors: Vihi Samuel Keghter , Jesse Birma , Tanko Philip Karik , Selzing Peter Musa , Sulaiman Jamila Khamis 
Published: September 2024

This study assessed adoption of improved production technologies among rice farmers’ in Wase Local Government Areas of Plateau State, Nigeria. Multistage sampling technique was used in the selection of 160 respondents for the study. Descriptive statistics, four point Likert scale and Logit regression were used to achieve the objectives of the study. Findings from the study revealed the mean age of the farmers to be 40years. Majority (67%) of the respondents were males and 91% of them married. 44% of the respondents had secondary education and a mean farming experience of 8 years. Majority (64%) of the respondents had farming as their major occupation on average farm sizes of 1.6 hectares. The mean annual income of the farmers was N 202,356. Improved rice production technologies such as appropriate time of harvesting (3.44), land preparation by tractors (3.42), recommended time of weeding (3.41), appropriate planting dates (3.25), use of herbicides (3.24), improved seed varieties (3.11), application of recommended fertilizer (3.05), nursery practice and transplanting (2.73) all had high levels of awareness and adoption respectively among the farmers. Age, educational status, farming experience, farm size, extension contact and annual income were significant determinant of adoption of improved rice production technologies. High cost of technology (69%), inadequate extension contact (61%) inadequate credit access (48%) and lack of accessibility of some technologies (28.0) were the major constraints affecting adoption of improved rice production technologies. The study recommended the subsidization of inputs (improved seeds, fertilizers and agro-chemicals) by government to reduce cost of production.
Gemoy and Samsul: How The Propaganda Won The 2024 Indonesian Election
Authors: Sam Aisyah , Yusuf Raidah Intizar , Rahayu Pramudita Budi 
Published: September 2024

This study aims to determine the forms of political buzzer propaganda ahead of the 2024 election on Twitter/X. The research method used is a qualitative approach using content analysis and the type of data used is secondary data in the form of tweets or uploads that themed the 2024 presidential election. The data was inputted manually using Microsoft Excel and then analyzed systematically using the SPSS 25 program. The chi square test result is .001, which means that there are significant differences between candidates in the forms of propaganda. Tweets discussing Prabowo-Gibran were the most propaganda-laden which included name calling, transfer, testimonial, card stacking, and bandwagon, with the exception of plain folks, which is propaganda that shows the efforts of the presidential and vice presidential candidates' closeness to the public, in this category, candidate pair number three, namely Ganjar-Mahfud, is significantly higher than other candidate pairs, and gliterring generalities, namely propaganda with positive connotations on the presidential and vice presidential candidate pairs being discussed, in this case candidate pair number one Anies Imin is significantly higher than other pairs. Name-calling was the most significantly utilized in tweets discussing Prabowo-Gibran, compared to other form of propaganda in tweets discussing the other two candidate pairs. This highlighted the importance of spinning the unfavorable attributes to become a favorable one.
Clinical Decision Support and Natural Language Processing in Medicine: Systematic Literature Review
Authors: Eguia Hans , Sánchez-Bocanegra Carlos Luis , Vinciarelli Franco , Alvarez-Lopez Fernando , Saigí-Rubió Francesc 
Published: September 2024

Background
Ensuring access to accurate and verified information is essential for effective patient treatment and diagnosis. Although health workers rely on the internet for clinical data, there is a need for a more streamlined approach.

Objective
This systematic review aims to assess the current state of artificial intelligence (AI) and natural language processing (NLP) techniques in health care to identify their potential use in electronic health records and automated information searches.

Methods
A search was conducted in the PubMed, Embase, ScienceDirect, Scopus, and Web of Science online databases for articles published between January 2000 and April 2023. The only inclusion criteria were (1) original research articles and studies on the application of AI-based medical clinical decision support using NLP techniques and (2) publications in English. A Critical Appraisal Skills Programme tool was used to assess the quality of the studies.

Results
The search yielded 707 articles, from which 26 studies were included (24 original articles and 2 systematic reviews). Of the evaluated articles, 21 (81%) explained the use of NLP as a source of data collection, 18 (69%) used electronic health records as a data source, and a further 8 (31%) were based on clinical data. Only 5 (19%) of the articles showed the use of combined strategies for NLP to obtain clinical data. In total, 16 (62%) articles presented stand-alone data review algorithms. Other studies (n=9, 35%) showed that the clinical decision support system alternative was also a way of displaying the information obtained for immediate clinical use.

Conclusions
The use of NLP engines can effectively improve clinical decision systems’ accuracy, while biphasic tools combining AI algorithms and human criteria may optimize clinical diagnosis and treatment flows.

Trial Registration
PROSPERO CRD42022373386; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=373386
Implementation of STEAM and Thematic Learning Models Assisted by STEMATIK Learning Media in Elementary School
Authors: Hazima Atika Azzahro , Prasetyo Eko , Annisa Aulia Hanif , Maryanti Ranti 
Published: September 2024

Learning is not only about giving theories, but instilling concepts is more important to teach to students. One of the concepts instilled in mathematics, namely the arithmetic material of addition and subtraction for elementary school. STEMATIK learning media supports students' understanding in introducing the arithmetic concepts of addition and subtraction for lower elementary school classes. This research aimed to explain the component analysis of integrating STEAM and thematic learning using STEMATIK learning media, to describe the importance of using learning media in enhancing students’ independence and motivation to learn, and to present the results of using STEMATIK learning media as a tool for learning mathematics. The research method employed was a quasi-experiment. Quantitative data analysis was conducted to analyze the data collected from the research instrument, including validation instruments by two experts in the form of learning media feasibility instruments and pretest and posttest assessment results on 31 elementary school students on the control group and the experimental group. The validity test used T-test by SPSS application. The product development process was based on the ADDIE model, a systematic approach that includes five stages: analysis, design, development, implementation, and evaluation. The method used in this research was the descriptive, qualitative and quantitative method. The research results show that for the validity test the increase in knowledge scores significantly using the T test with the SPSS application produces two sides of less than 0.001. The level of student learning independence is good, achieving a score of 68,14, which according to the category is considered good. The percentage for the student learning motivation category falls into the high criterion. The result of these indicators shows a score of 83, which is categorized as high.
Análise das práticas realizadas no setor têxtil para mitigação de emissões de gases de efeito estufa
Authors: Rodrigues Steinhorst Kraetzig Elda , Veiga Ávila Lucas , Lange Salvia Amanda , Schoproni Bichueti Roberto , Adriane Schvartz Marceli 
Published: September 2024

As empresas do setor têxtil são responsáveis por emitir quantidades significativas de gases de efeito estufa, tornando fundamental que implementem medidas para reduzir seu impacto no clima. Neste sentido, este estudo teve como objetivo geral analisar as práticas adotadas por indústrias têxteis para mitigação das mudanças climáticas. Foram realizadas entrevistas com três empresas do setor têxtil brasileiro, com respondentes de cargos de direção e de áreas voltadas às questões de sustentabilidade das empresas. A partir dos dados obtidos, foi possível observar práticas para mitigação das emissões de gases de efeito estufa adotadas em três eixos temáticos. No eixo de mudanças climáticas observou-se: análise do ciclo de vida dos produtos, cultura organizacional voltada à mitigação das mudanças climáticas; realização de relatório de emissões; política interna de ações para mitigação das mudanças climáticas; ações colaborativas e parcerias, além de consideração das mudanças climáticas nos investimentos. A respeito dos dados obtidos sobre o eixo de carbono zero, as práticas mais adotadas foram de gestão de resíduos; inventário de emissões e adoção de sistemas de produção e equipamentos com eficiência energética. O eixo de perspectivas de descarbonização para 2050 revelou como práticas mais adotadas o uso de fontes de energia renováveis e a comunicação dos resultados de sustentabilidade/mitigação das emissões.
Gender equality in the Qur’an: An Analysis of surah an-Nisa’ verses 1 and 34 in the exegesis of al-Tabari and al-Rāzī
Authors: Ismail Nurjannah , Firdaus Muhammad , Darmawijaya Edi 
Published: September 2024

Surah An-Nisa' verses 1 and 34 have been central to discussions on gender. According to the interpretations of Imam al-Ṭabarī and Imam al-Rāzī, these verses place women in a subordinate role, both in domestic and non-domestic spheres. This interpretation is considered biased, not reflecting the true essence of the Qur'an. Therefore, further research is necessary to uncover the Qur'an’s intended view on gender in these verses. The study uses a descriptive-analytical method with a qualitative approach, gathering data from books, theses, and articles. The findings reveal that al-Ṭabarī and al-Rāzī's interpretations reinforce male superiority in patriarchal tradition, stating that Eve was created from Adam's rib and that the husband is the absolute leader of the wife. However, contemporary scholars argue that interpreting "nafs" as referring to the unity of humanity without any connotation of gender superiority, emphasizing equality in Islam. The Qur'an advocates for justice in gender issues, making traditional interpretations obsolete in today's context. Regarding Surah An-Nisa' verse 34, al-Ṭabarī and al-Rāzī interpreted men as the rightful leaders over their wives due to the advantages given by Allah, with financial responsibility as the foundation of their authority. However, modern-contemporary tafsir scholars reject this view, interpreting qiwāmah as shared responsibility regardless of gender, emphasizing partnership in the household and gender equality in Islam. This reflects efforts to understand Qur'anic verses contextually and inclusively, supporting the principles of equality and justice.
Study of the State Primary Measurement Standard of the Unit of Phase Shift Angle Between Two Voltages
Authors: Velychko Oleh , Kulish Yulia 
Published: September 2024

Phase measurements are necessary for determining main parameters of the oscillatory process in complex electrical networks. Most often, it is precisely the phase shift angle (PSA) between two oscillatory processes of the same frequency that is measured. An essential indicator of the quality of electrical energy is the coefficient of asymmetry in a three-phase electrical network, which depends on the load of consumers in this network. This indicator is affected by a short circuit between two phase voltages.
Phase measurement standards, phase meters, and phase converters are included in the measuring equipment for phase measurements. They are widely used in such fields as radiolocation, radio navigation, non-destructive testing, radio engineering, telecommunications, acoustics, metallurgy, machine and aircraft industry, space industry, as well as in scientific research and defence.
The State Measurement Standard of Ukraine of the PSA unit between two voltages in the frequency range from 0.01 Hz to 10 MHz is maintained at the State Enterprise “UKRMETRTESTSTANDARD”, Kyiv. It provides metrological traceability of phases measured in the country. The main components of the standard were calibrated at the PTB, the National Metrology Institute of Germany. In Ukraine, numerous measurement standards and measurement instruments for phase measurements (more than 500.000 units) are used, in particular, phase calibrators, phase meters, phase shifters, synchronoscopes etc.
Regular study of metrological characteristics of the DETU 09-07-11 measurement standard is conducted both in the main (from 5 Hz to 200 kHz) and in the extended (from 0.01 Hz to 10 MHz) frequency range. The PSA values obtained as a result of the research in the main frequency range do not exceed 0.001° (which is maximum according to measurements at all calibration points 0.00015°), and in the extended frequency range – 0.01° (which is maximum according to measurements at all calibration points 0.0053°). To eliminate the systematic measurement uncertainty component of the phase measurement standard, a special calibration is regularly performed using a set of resistive and capacitive phase bridges.