bluuebunny/crossref_metadata_2025_split huggingface dataset:
THE SOCIO-MATERIAL POWER OF COAL: THE DOWNSTREAMIZATION OF COAL AND THE ENERGY TRANSITION CHALLENGE
Authors: Abisono Fatih Gama 
Published: February 2025

Under the Paris Agreement in 2015, many countries are adaptive to the issue of climate change, especially the energy transition agenda through coal phasing out. However, the issue of coal phasing out has not received enough attention from energy issue researchers. Although as one of the largest coal producing countries in the world, Indonesia faces major challenges for the purpose of mitigating climate change. Under Joko Widodo's government, the situation was responded to with the coal downstream policy. Departing from the formulation of the research problem, the research question of this study: how does downstreamization of coal answer the challenge of low carbon in the middle of coal dominance? The purpose of this study is to test the relevance of coal in answering the challenges of energy transition. This study is an explanatory-qualitative research by using a case study approach strategy with the Jokowi administration's coal phasing out agenda case with a documentation study technique. The results of the research show the increasing importance of coal in driving the energy transition. The relevance is made possible because coal is the country's main support to encourage energy transition with the downstreamization of coal. In this case, the materiality of the biophysical character of the resource allows coal to create a new space in the form of a link in the supply chain of the national energy system in the context of a low carbon economy. The coal material ultimately contains the socio-material power that determines the energy transition.
SOCIETY AND GOVERNMENT POLICY IN THE ERA OF UMAR IBN KHATTAB AND ITS CONTEXTUALISATION IN INDONESIA FROM THE PERSPECTIVE OF ISLAMIC GOVERNANCE AND MAX WABER'S CHARISMATIC THEORY OF LEADERSHIP
Authors: Wahab Mas Adah , Basar Dikuraisyin  
Published: February 2025

Umar Ibn al-Khattab was the second caliph in Islamic history after succeeding the caliph Abu Bakar al-Siddiq. He was one of the Prophet's companions who had strong morals, was energetic, fair, and wise, had a firm and complex character, and had managerial and administrative skills. Umar as caliph, only ruled for approximately ten years, but in that short period of time, many successes and advances were experienced by the Islamic community, especially in the economic field. So it is common in the history of the Islamic world that Umar's reign was a golden age in Islamic history. The success of Umar's leadership, especially in reforming and developing the economic system of the community and prospering their lives, was due to his scientific ability, ijtihad, and an established managerial system in managing the country's foreign exchange. Proper utilization and distribution, as well as strict supervision and discipline. This can be understood from various political, social and educational economic legal policies. The purpose of the research is to find the concept of auditor independence from the perspective of Umar bin Khattab. This research is qualitative research, using the biographical type tarikh method with the figure Umar bin Khattab. Through tarikh, the author wishes to understand his life. The policies he took were based on the principles of Islamic governance even though they were different from the previous era.
DETERMINANT FACTORS FOR CENTRAL LINE-ASSOCIATED BLOOD STREAM INFECTIONS (CLABSI) IN NEONATES
Authors: Nihar Mahdiyyah Husna , Martini Santi , Husada Dominicus 
Published: February 2025

Background: CLABSI accounts for 70% of all hospitalized bloodstream infections, especially in premature infants. CLABSI in neonates can compromise the immune system and future quality of life. Purpose: This study aims to identify determinant factors associated with CLABSI in neonates. Methods: This research was a scoping review study of three international databases namely Science Direct, PubMed, and ProQuest from January 2021-April 2024. Keyword selection refers to PCC (Populations, Concepts, Categories), with the keywords used "factor" AND "associated" AND "CLABSI" AND ("neonate" OR "newborn") AND "hospital." The selection process is depicted with PRISMA-ScR. Results: A total of 14 articles met the criteria and objectives of the study. The articles obtained represented all continents, which were conducted in the Americas (29%), Europe (29%), Asia (29%), and Africa (13%). Risk factors for CLABSI in neonates are grouped into two, namely intrinsic and extrinsic factors. Prevention of CLABSI in neonates can be done by modifying extrinsic factors, namely with proper aseptic technique, supervision, and management strategies. Conclusion: The determinant factors of CLABSI in neonates include intrinsic factors (gestational age of <27 weeks or preterm, comorbidities, being born by cesarean section, low birth weight, being previously treated with antibiotics, and having underlying surgical conditions) and extrinsic factors (the type of catheter, the amount of catheter lumen, long duration of insertion, insertion location at the femoral and internal-jugular access site, parenteral nutrition, and large microbial colonization at the insertion site).
OSHA Injury Data: An Opportunity for Improving Work Injury Prevention
Authors: Michaels David , Wagner Gregory R. 
Published: February 2025

Millions of US workers are seriously injured on the job annually. These injuries have a significant and deleterious impact on injured workers, their families, and their communities. The limitations of the historical work injury surveillance systems have constrained research into the distribution and determinants of work injuries and efforts to improve allocation of limited injury prevention resources. Most work injury data sets suffer from significant limitations and fail to include a sizable proportion of work injuries. In recent years, the Occupational Safety and Health Administration has begun to collect and make available to the public more detailed data on work injuries at thousands of high hazard establishments. These data sets provide the opportunity to greatly improve our work injury surveillance system. Researchers are now using these data to investigate and compare injury risk in industries and high-hazard firms where workers are at increased risk of musculoskeletal disorders. However, these rich data sets are underused. Maintaining and facilitating access to accurate, current data can contribute to improved prevention of work-related injuries and deaths. ( Am J Public Health. Published online ahead of print February 13, 2025:e1–e8. https://doi.org/10.2105/AJPH.2024.307934 )
Experimental Techniques and Rock Physics Modeling to Study the Effects of Mineral Content and Thermal Maturation on Elastic Properties of the Organic-Rich Shale: Case Study of the Longmaxi Formation
Authors: Tuzingila Romulus Mawa , Kong Lingyun , Kasongo Ruben Koy 
Published: February 2025

Summary
To evaluate favorable fracturing locations and layers of shale gas reservoirs, it is essential to comprehend how thermal maturity and mineral composition affect geomechanical characteristics. The effects of kerogen thermal maturation on elastic properties of organic-rich shale under consideration of the vitrinite reflectance and how it relates to kerogen density and organic porosity demand in-depth investigation. We propose rock physics modeling of heterogeneous shale rock samples to model kerogen as a function of thermal maturity and elastic properties as a function of shale composition. Nine Longmaxi shale samples from different depths of Well A were collected and tested by using X-ray diffraction (XRD), light microscope, open system pyrolysis gas chromatography, nanoindentation, and uniaxial-triaxial compression techniques to examine mineralogy, geochemical, and geomechanical characteristics. Using the Voigt-Reuss-Hill average and differential effective medium approach, shale matrix was modeled first and incorporated kerogen matter in terms of incremental thermal maturation. The acoustic characteristics of Longmaxi laminated shale affected by the thermal maturation were also studied using the Hudson model. The results indicate that the Longmaxi shale is part of highly brittle hard rocks; more brittle minerals increase their strength. As clay minerals increase, we observe that at 10-MPa confining pressure, triaxial compression strength (TCS) decreases from 72 MPa to 43 MPa in the Longmaxi upper member sample (SUM), 63 MPa to 39 MPa in the Longmaxi middle member sample (SMM), and 55 MPa to 36 MPa in the Longmaxi lower member sample (SLM). However, with the rise of the quartz + carbonate + feldspar mineral group, we observe an increase in TCS, which goes from 58 MPa to 75 MPa in the SUM, 52 MPa to 68 MPa in the SMM, and 48 MPa to 66 MPa in the SLM. Research indicates that the effective modulus and P-wave velocity of Longmaxi shale falls with increasing of Ro from 0 to 3. In the SUM, Young’s modulus decreased from 11.4 GPa to 1.3 GPa. SMM shows a reduction of Young’s modulus from 11.1 GPa to 0.5 GPa, while SLM shows a decrease from 10.9 GPa to 1.14 GPa. Also, the Vp falls from 5.63 km/s to 4.2 km/s, while the Vs decreases from 3.4 km/s to 2.16 km/s in the SUM. However, in the SMM, Vp decreases from 5.58 km/s to 4.22 km/s, and Vs falls from 2.9 km/s to 1.7 km/s, while Vp and Vs are reduced in the SLM. The results of our modeling approach are confirmed by the variation of elastic properties measured in the laboratory and interpreted in well logs, which show a satisfying validity and usefulness. However, given the extreme variety of reservoir characteristics and basin evolution conditions, we also recommend that it be locally calibrated when applied to particular shale reservoirs.
A Lucky Opportunity: First-ever Confirmation of Highly Individualized Egg Retrieval (HIER) in a Natural Conception Cycle
Authors: Gayete-Lafuente Sonia 
Published: February 2025

Abstract

To prevent oocyte-toxic premature luteinization of follicles during IVF cycles, which occurs earlier and earlier with advancing female age, our center has learned to advance oocyte retrieval appropriately over the last decade, a process we have given the acronym HIER (Highly Individualized Egg Retrieval). In principle, for practical reasons, the HIER concept was only applicable in IVF cycles. However, as a consequence of several lucky coincidences, we recently had the opportunity to apply HIER to a spontaneous conception. We here report this case to demonstrate that the HIER approach appears to be applicable independent of whether ovaries are exogenously stimulated or not. This case report expands utilization of HIER beyond IVF to practically all treatment cycles in infertility, in the process contradicting two long-held dogmas in worldwide infertility practice.
Machine Learning Models for Subarachnoid Hemorrhagic Prognosis: A Multicenter Study Considering Circadian Rhythms and Timing Factor
Authors: liu Yongbo , yang Chengbao 
Published: February 2025

Abstract

BACKGROUND:
Traditional statistical methods(e.g.,logistic regression)are widely used for prognostic prediction in SAH patients but may fail to capture complex non-linear interactions,such as between circadian rhythms and physiological parameters.Machine learning algorithms,particularly SVM with SHAP interpretability,offer a robust framework for handling high-dimensional data and improving predictive accuracy.This study innovatively integrates circadian rhythm-based time intervals(4-hour segments)into the model,addressing a gap in existing tools.
METHODS:
SAH patient data were obtained from the MIMIC-IV 3.1 ICU database and Liaoyang Central Hospital NICU(2018–2024)and divided into training(85%)and validation(15%)sets.Risk factors were screened using LASSO.Six machine learning models—LASSO regression,logistic regression,SVM,KNN,Decision Tree,and Random Forest—were developed and evaluated via 10-fold cross-validation."
RESULTS:
A total of 651 SAH patient data were analyzed(555 for training,96 for validation).Key factors including gender,age,admission time,smoking,diabetes,GCS,HR,SBP,and RPP were used to build the models.The SVM model,chosen for its high interpretability,achieved AUCs of 0.9351 and 0.7958,and F1 scores of 0.8496 and 0.7652,outperforming other models.A risk score calculator based on the SVM model is available at https://liuyongbo0312.shinyapps.io/myshinyapp/
CONCLUSION:
This study developed a predictive model for the prognosis of subarachnoid hemorrhage(SAH)patients using machine learning and identified Support Vector Machine(SVM)as the optimal model.The study found that the time of onset has a certain impact on prognosis,offering new directions for future research and clinical practice. Clinicians can use the SVM model by inputting patient-specific parameters(e.g.,RPP,GCS,admission time segment)into the provided calculator to rapidly identify high-risk patients for targeted interventions.
Health and economic consequences due to inadequate water quality: a case study from Eastern India
Authors: Das Sukanya , Malhari Mehak , Starkl Markus , Brunner Nobert , Mishra Pulak , Sahoo Swosti Subhrajyoti 
Published: February 2025

ABSTRACT

Access to clean water is vital for public health; however, many urban households suffer from waterborne illnesses due to contamination. This study examines the economic cost of contaminated water to households in Khurda (Odisha) and Paschim Medinipur (West Bengal), focusing on diseases like diarrhea, vomiting, abdominal pain, and fever. Using a detailed questionnaire, data were gathered from 281 households. Findings show that 17% of households with piped water reported illness compared to 5.26% with non-piped water, with issues such as foul smell and red water also noted. The average household cost of illness is ₹47.69 (US$ 0.571), highlighting the need for improved water infrastructure and sanitation to address public health risks.
Social perception and challenges of light greywater reuse at the household level in developing countries: A case study of Bucaramanga, Colombia
Authors: Burgos-Arias Jessica , Cristina Rey-Romero Daniela , Oviedo-Ocaña Edgar Ricardo 
Published: February 2025

ABSTRACT
Light greywater (LGW) has significant potential for reuse at the household level compared to other domestic wastewater effluents. However, social acceptance remains a major barrier to its implementation. This study provides a novel analysis of domestic water consumption habits and public perceptions of LGW reuse within an urban residential area in Latin America. Data were collected through a household survey (n = 132) and analyzed using descriptive and inferential statistics. Seventy-four per cent of respondents were willing to adopt this water reclamation scheme. Education level significantly influenced perceptions of reuse, while gender and age had no significant effect. Personal attitudes, self-perceived capacity, and water consumption habits, particularly the frequency of handwashing, tooth brushing, and toilet flushing, were key drivers of the LGW generation and shaped public perceptions. Higher per capita water consumption associated with these activities underscores the feasibility of LGW reuse, particularly for most preferred applications like toilet flushing (81%) and floor cleaning (67%), which involve minimal human contact. Most respondents expressed willingness to invest in LGW reuse systems (73%), perform operational tasks (77%), and conduct maintenance activities (64%). The study identified five challenges hindering LGW reuse at the household level and proposed strategies to address them in the Colombian context.
The Upper Narmada River Basin's flood frequency analysis using the GAMLSS technique
Authors: Chandel Namrata , Agnihotri Prasit Girish , Patel Jayantilal N. 
Published: February 2025

ABSTRACT

Flood frequency analysis (FFA) is essential for effective flood risk management, predicting flood event probabilities over time. The Generalized Additive Models for Location, Scale, and Shape (GAMLSS) technique is used in this study to get around the problems with traditional FFA methods, which usually rely on stationarity and well-known distributions. The objectives are to conduct a comprehensive flood frequency analysis of the Upper Narmada River Basin using GAMLSS and improve flood risk assessments considering non-stationary data and covariates like rainfall, temperature, and land use changes. The study collects and analyses hydrological and meteorological data. Change points are identified using the Pettitt test, and trends are analyzed with the modified Mann–Kendall test. The Pettitt test results indicate significant change points, while the modified Mann–Kendall test reveals decreasing trends in all stations, with p-values ranging from 0.00251 to 0.6985. GAMLSS model's goodness-of-fit is assessed using various probability distributions, including gamma, Weibull, Gumbel, logistic, and log-normal. The log-normal distribution performs best in four stations, while Weibull and Gamma are optimal in others. Model selection is based on the Akaike Information Criterion (AIC), with values ranging from 508.14 to 663.
Analyzing Themes, Sentiments, and Coping Strategies Regarding Online News Coverage of Depression in Hong Kong: Mixed Methods Study
Authors: Chen Sihui , Ngai Cindy Sing Bik , Cheng Cecilia , Hu Yangna 
Published: February 2025

Background
Depression, a highly prevalent global mental disorder, has prompted significant research concerning its association with social media use and its impact during Hong Kong’s social unrest and COVID-19 pandemic. However, other mainstream media, specifically online news, has been largely overlooked. Despite extensive research conducted in countries, such as the United States, Australia, and Canada, to investigate the latent subthemes, sentiments, and coping strategies portrayed in depression-related news, the landscape in Hong Kong remains unexplored.

Objective
This study aims to uncover the latent subthemes presented in the online news coverage of depression in Hong Kong, examine the sentiment conveyed in the news, and assess whether coping strategies have been provided in the news for individuals experiencing depression.

Methods
This study used natural language processing (NLP) techniques, namely the latent Dirichlet allocation topic modeling and the Valence Aware Dictionary and Sentiment Reasoner (VADER) sentiment analysis, to fulfill the first and second objectives. Coping strategies were rigorously assessed and manually labeled with designated categories by content analysis. The online news was collected from February 2019 to May 2024 from Hong Kong mainstream news websites to examine the latest portrayal of depression, particularly during and after the social unrest and the COVID-19 pandemic.

Results
In total, 2435 news articles were retained for data analysis after the news screening process. A total of 7 subthemes were identified based on the topic modeling results. Societal system, law enforcement, global recession, lifestyle, leisure, health issues, and US politics were the latent subthemes. Moreover, the overall news exhibited a slightly positive sentiment. The correlations between the sentiment scores and the latent subthemes indicated that the societal system, law enforcement, health issues, and US politics revealed negative tendencies, while the remainder leaned toward a positive sentiment. The coping strategies for depression were substantially lacking; however, the categories emphasizing information on skills and resources and individual adjustment to cope with depression emerged as the priority focus.

Conclusions
This pioneering study used a mixed methods approach where NLP was used to investigate latent subthemes and underlying sentiment in online news. Content analysis was also performed to examine available coping strategies. The findings of this research enhance our understanding of how depression is portrayed through online news in Hong Kong and the preferable coping strategies being used to mitigate depression. The potential impact on readers was discussed. Future research is encouraged to address the mentioned implications and limitations, with recommendations to apply advanced NLP techniques to a new mental health issue case or language.
AVALIAÇÃO DA BIOMASSA E DO ESTOQUE DE CARBONO DE ESPÉCIES HERBÁCEAS, ARBUSTIVAS E ARBÓREAS DO HORTO DO IFRJ NILÓPOLIS
Authors: Girardi Bastos Reis de Araujo Luiggia , Norberto dos Santos Gomes Clara , Norberto dos Santos Gomes Iara , De Souza Santana Maíra , Kajiyama Kuriya Camila , Marques Carlos Alexandre 
Published: February 2025

Áreas verdes urbanas disponibilizam inúmeros benefícios para o bem-estar humano e qualidade de vida e apresentam importantes funções de estoque e sequestro de carbono, que contribuem para a mitigação e adaptação das cidades às mudanças climáticas. Um expressivo número de estudos tem sido realizados em áreas verdes urbanas dentro da Mata Atlântica, para avaliar e descrever sua contribuição na produção de biomassa. Por isso, o objetivo deste trabalho foi estimar a biomassa e o estoque de carbono no Horto do IFRJ campus Nilópolis. A estimativa da biomassa aérea, das raízes e do solo foi realizada a partir de três equações. Para a biomassa vegetal, foram obtidos dados de altura, diâmetro na altura do solo e a densidade do caule. Para o estoque de carbono no solo, foram obtidos dados das variáveis densidade, teor de carbono e profundidade. Foram identificados 352 indivíduos, divididos em 42 espécies herbáceas e 41 espécies arbustivas. As alturas e os diâmetros dos indivíduos variaram de 0,6 cm a 15 m (Média = 1,39 m) e 0,2 cm a 50 cm (Média = 5,05 cm), respectivamente. O Horto do IFRJ Nilópolis estoca 1,69 toneladas de biomassa (0,8 toneladas de carbono) na sua parte aérea e 0,33 toneladas nas suas raízes (0,14), com a predominância (96%) no estrato arbóreo. O solo do horto estoca 226 quilos de carbono (6,27 Kg/m2). A medição da densidade em laboratório para estimativa da biomassa é uma ferramenta importante para aumentar a confiabilidade dos valores estimados. A quantidade de biomassa e carbono estocado na área de estudo é similar a outras áreas verdes, mostrando a importância dessa área como recurso urbano de mitigação e adaptação climática, que deve ser usado como modelo para o planejamento e engajamento das instituições de ensino.