bluuebunny/crossref_metadata_2025_split huggingface dataset:
Membangun Profesionalisme Guru PAUD Melalui Model Supervisi Klinis
Authors: Hasanah Iis Uswatun , Fauziah Nurul 
Published: October 2024

Guru sebagai unsur tenaga pendidik mempunyai peran dalam keberhasilan proses pembelajaran yang berkualitas. Guru harus memiliki kompetensi dalam menjalankan profesinya sebagai guru professional, begitupula untuk guru PAUD dituntut untuk memiliki kompetensi pedagogik, kompetensi kepribadian, kompetensi professional dan kompetensi social. Supervisi klinis merupakan pendekatan yang efektif dalam meningkatkan profesionalisme guru, kegiatan supervisi klinis ini sebagai upaya pembinaan untuk membantu guru PAUD dalam mengembangkan kompetensinya. Penelitian ini bertujuan untuk mengkaji penerapan model supervisi klinis dalam konteks Pendidikan Anak Usia Dini (PAUD) dan dampaknya terhadap peningkatan kompetensi guru. Melalui metode kualitatif yang meliputi observasi dan wawancara yang dilakukan di salah satu Lembaga PAUD yaitu KB Az-Zahra Kecamatan Wanayasa-Purwakarta, penelitian ini menyimpulkan bahwa supervisi klinis dapat menjadi alat yang ampuh untuk membantu guru PAUD dalam mengembangkan keterampilan pedagogik, refleksi diri, dan kemampuan dalam menciptakan lingkungan belajar yang efektif
Modeling the rainfall–runoff process in the Bird Creek River Basin: a comparative analysis of conceptual and artificial neural network techniques
Authors: Vidyarthi Vikas Kumar 
Published: October 2024

ABSTRACT

The modeling of the rainfall–runoff (RR) process is a key component for water resources projects, planning, and management for which conceptual and data-driven modeling techniques are utilized. However, these techniques in the modeling of the RR process have their own benefits, and their performance need to be explored in real basins. In this paper, five conceptual models (namely, AWBM, Sacramento, SimHyd, SMAR, and TANK) and an artificial neural network (ANN) model have been developed and their performances have been assessed using the rainfall, runoff, and other climatic data derived from the Bird Creek Basin, USA. The results obtained from the study suggest that the SimHyd performed the best among all the conceptual models during testing. The ANN model performance in simulating the RR process was found to be the best among all the models developed in this study during testing with the highest values of R = 0.941, E = 0.994 and all threshold statistics and least values of AARE = 38.9 and NRMSE = 0.031. Overall, it can be concluded that although the conceptual models are highly comprehensible, the ANN models are able to simulate the flow more accurately than any of the conceptual models developed in this study.
Evaluation of satellite-derived precipitation datasets: a case study in the Ten Tributaries region of the Yellow River Basin
Authors: Liu Shuya , Ren Liliang , Zhao Chongxu , He Aoyu 
Published: October 2024

ABSTRACT
Satellite-derived precipitation datasets are essential components of hydrological simulations, particularly in data-scarce regions of western China. However, a comprehensive assessment of their accuracy and reliability is required. Here, the accuracy of two high-resolution satellite-derived precipitation datasets, Integrated Multi-satellite Retrievals for GPM – Final (IMERG-F) and Gauge-Adjusted Global Satellite Mapping of Precipitation (GSMaP-Gauge), was evaluated across the Ten Tributaries region of the Yellow River Basin in western China using four quantitative metrics and three categorical scoring indicators. This evaluation sought to ascertain the retrieval accuracy of these products on both the daily scale and hourly scale of heavy precipitation events, and investigated their inversion error characteristics across various spatiotemporal scales. Both datasets effectively captured the spatiotemporal patterns of annual average precipitation within the study area. Notably, the daily-scale accuracy of these satellite-derived precipitation products surpassed their hourly and half-hourly counterparts. Both GPM-IMERG and GSMaP-Gauge adeptly reproduced most precipitation events in the Ten Tributaries region, with peak detection performance observed in the central and southern zones, providing a reliable data source for drought monitoring and hydrological modeling. Overall, compared with GPM-IMERG, GSMaP-Gauge displayed superior inversion accuracy across diverse spatiotemporal scales.
Locked out of water: a reflection on WaSH access in US prisons
Authors: Crosson Jesse , Sylvester Ruth E. , Worsham Kimberly 
Published: October 2024

ABSTRACT
The United Nations global minimum standards for prisons are termed the ‘Nelson Mandela Rules’ and are based on the humane treatment of incarcerated people. Of the approximately 11.5 million people incarcerated worldwide, over two million are located in the United States (US). Mass incarceration is maintained by political, economic, and societal structures of inequality and discrimination. The lens of safely managed sanitation provides a window into the treatment and lived realities of people who are incarcerated. This article synthesizes the existing literature and builds on this foundational knowledge with accounts from people who have experienced living in the US prison system. Throughout the literature and across these lived accounts we find a severe lack of privacy, emotional distress, consistent Human Rights violations, and evidence of those in positions of power in prisons using control over water and sanitation to enact excessive punishment. Denying these fundamental rights restricts people's health and well-being, and contributes to further dehumanization and trauma, which is detrimental to the individual and to wider society. We find that one route toward revealing the extent of discrimination against incarcerated people, and beginning to make impactful, person-centered change, is focusing on full, safe, and dignified access to WaSH services.
Greenhouse gas emissions from inland water bodies and their rejuvenation: a review
Authors: Bhushan Amrendra , Goyal Vikas Chandra , Srivastav Arun Lal 
Published: October 2024

ABSTRACT
Inland water bodies are observed as major sources of the emissions of greenhouse gases (GHGs) including carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). This study shows that these entities (e.g. wetlands, constructed wetlands, reservoirs, lakes, ponds, and rivers) have a major contribution in GHG flux. However, understanding of the carbon dynamics of these water bodies is not well described. It was noticed that the emissions of GHGs from inland water bodies is a result of heavy supply of organic matter into them. Approximately 2.2–3.7% of the Earth's non-glaciated land area and inland waters are having almost similar amounts of carbon emission as also observed in the case of both net terrestrial productivity and net oceanic uptake. Wetlands and lakes are among the most studied water bodies. However, efforts should be made to understand the emission dynamics from ponds and rivers as recent studies say these are also among the potent sources of GHG emissions in the atmosphere. This review paper aims to highlight and give an elaborate insight into the contribution of inland waters to the global carbon cycle along possible remediative measures.
Fast Declining Prediction in Alzheimer’s Disease from Early Clinical Assessment
Authors: Alvarez-Sanchez Lourdes , Pereto Mar , Garcia-Valles Lorena , Balaguer Angel , Pena-Bautista Carmen , Ferre-Gonzalez Laura , Baquero Miguel , Pericas Consuelo Chafer 
Published: October 2024

Intoduction:
The heterogenicity in Alzheimer's Disease (AD) progression hinders individual
prognosis. The present work is an observational 2-year longitudinal study in patients with mild
cognitive impairment due to AD (n= 52, with positive CSF biomarkers). The aim of this study is to
predict which patients are at risk of fast progression. For this, 3 neuropsychological tests based on
different domains (clinical dementia, cognition, delayed memory) and the sum of them were used.

Methods:
The tests were performed at diagnosis time (T1) and two years after the diagnosis time
(T2). Then, the corresponding progression models were developed using each individual test and
their sum as a variable response.

Results:
As a result, the model based on cognition status to predict fast decline (differences in the Z
score (T2-T1) <1.5 were considered fast declining) provided satisfactory performance (AUC 0.74,
83.3% of sensibility and 70.2% of specificity); the models based on clinical dementia and delayed
memory to predict fast declining showed low AUC and sensitivity. Nevertheless, the model based on
the sum of the 3 tests showed the highest AUC (0.79), low sensitivity (63.6%), and high specificity.

Conclusion:
The developed progression models could provide useful information to clinicians and
AD patients regarding their fast/normal decline in general or specific domains.
Concurrent Estimation of Pregabalin and Etoricoxib by New Stability-Indicating RP-UPLC Approach - Application in Assay of Commercial Tablets
Authors: Ponnekanti Krishnaphanisri , Godela Ramreddy 
Published: October 2024

Background:
The study emphasizes establishing a stability-indicating RP-UPLC
method for concurrent estimation of pregabalin and etoricoxib in combined pharmaceutical formulations,
confirming effective separation, sensitivity, and repeatability, validated according to ICH
guidelines.

Objective:
The present research study aims to establish a new stability-indicating RP-UPLC
method for concurrently estimating pregabalin and etoricoxib in blended powder and their combined
tablet formulation with less run time, high sensitivity, and specificity.

Methods:
The effective separation of pregabalin and etoricoxib was achieved with HSS column
C18 (150x2.1mm,1.8μm), 0.1% orthophosphoric acid:acetonitrile (65:35 v/v) at a flow rate of
0.3mL/min, and isocratic elution at 228nm. The elution of PRB and ETB was noticed at 1.56 and
2.01 minutes, with good resolution and system suitability with the developed approach.

Results:
Pregabalin and etoricoxib have shown linear responses from 18.75 to 112.5μg/mL and 15
to 90μg/mL, respectively. The range of the % RSD for intraday and inter-day precision was 0.33
to 0.81. The LOD and LOQ of pregabalin and etoricoxib were computed to be 0.07 μg/mL and
0.21 μg/mL, and 0.01μg/mL and 0.04 μg/mL, respectively, by standard deviation method. The
validation method was carried out using ICH standards. The stability-indicating feature of the
method was confirmed by the forced degradation studies where degradants generated by stress testing
were clearly distinguished from the peaks of analytes.

Conclusion:
The shorter elution period and superior sensitivity of both analytes with this method
have been found to be appropriate for regular analysis of pregabalin and etoricoxib.
ANALYSIS OF THE RELATIONSHIP BETWEEN TREATMENT PATTERNS BASED ON PATIENT CHARACTERISTICS IN CASES OF HYPERTENSION COMPLICATIONS AT PKU MUHAMMADIYAH GAMPING HOSPITAL
Authors: Ariansyah Diffa Zahra , Wulandari Ari Susiana , - Daru Estiningsih , - Eva Nurinda 
Published: October 2024

<p><strong><em>Background : </em></strong><em>Hypertensive disease is often referred to as "The Silent Disease" or silent disease. The percentage of complication hypertension in Indonesia is cerebrovascular disease 21.6%, heart disease 40.9%, and kidney disease 33.2%. Yogyakarta is one of the provinces in Indonesia with a prevalence of complication hypertension of 32.86%. Each year, an estimated 9.4 million people die from hypertension and complications.</em></p><p><strong><em>Objective :</em></strong><em> To analyze the relationship between treatment patterns based on sociodemographic characteristics in complication hypertensive patients in Inpatient PKU Muhammadiyah Gamping Hospital.</em></p><p><strong><em>Methods:</em></strong><em> </em>This study was analytical research methods using retrospective methods. The sampling technique was in this study is the total sampling technique. The variables used in this study were patterns of antihypertensive drug use associated with sociodemographic factors including gender, age, and patient health insurance (BPJS or non-BPJS). The test analysis was Chi-Square Test and Kendall's tau-b Test for variable blood pressure relationships and drug use patterns.<em></em></p><p><strong><em>Results:</em></strong><em> Sociodemographic characteristics of respondents include: adult age (16.7%) and elderly (83.3%), male and female gender (50.0%), BPJS treatment coverage (91.7%) and general (8.3%). Hypertensive disease complications include: stroke (20.8%), myocardial infarction (4.2%), kidney failure (4.2%), heart failure (33.3%), diabetes mellitus (37.5%). Drugs used: Amlodipine (23.10%), Candesartan (30.80%), Nifedipine (11.50%), Bisoprolol (19.20%), Clonidin (5.80%), Captopril (1.90%), Lisinopril (3.80%), and Ramipril (3.80%).</em></p><strong><em>Conclusion:</em></strong><em> There was no relationship between sociodemographic characteristics and treatment patterns and there was a relationship between systolic / diastolic blood pressure with drug use patterns in cases of complication hypertension at PKU Muhammadiyah Gamping Hospital.</em>
Socio-Cultural Relationship to Self-Efficacy of Breastfeeding in Pregnant Women in the 3rd Trimester in the Working Area of Imogiri Ist Health Center and Kretek Community Health Center, Bantul Regency
Authors: Sulistiawati Sulistiawati , Dian Ayuningrum Lia , Dwiarini Muafiqoh , Lestari Prasetya , Worawong Chiraporn 
Published: October 2024

<p><strong><em>Background: </em></strong>Socio-cultural factors, especially in Javanese society very influence the success and failure of exclusive breastfeeding. Social culture can be in customs, traditions, taboos, etc. Breastfeeding mothers who have low <em>breastfeeding self-efficacy </em>when they later face problems while breastfeeding will tend to make it easier to decide to use alternative techniques for breastfeeding their babies.</p><p><strong><em>Objective: </em></strong>To determine the socio-cultural relationship towards <em>breastfeeding self-efficacy </em>in third-trimester pregnant women</p><p><strong><em>Method: </em></strong>The type of research is a quantitative analytical descriptive. Data collection methods use surveys, observations, or interviews with a <em>cross-sectional approach method</em><em>. </em>The sampling technique used <em>purposive sampling of </em>as many as 126 respondents with a gestational age of &gt;30 weeks and according to the inclusion criteria. There are 2 instruments used, namely Sociocultural and <em>Breastfeeding Self-efficacy Scale-Short Form </em><em>(BSES-SF)</em><em></em></p><p><strong><em>Results: </em></strong>Based on research conducted on 126 respondents, Social Culture Supports ( <em>0.000 &lt; 0.05) </em>and Social Culture Does Not Support <em>(0.009 &lt; 0.05) </em>from the <em>Chi-Square test </em>with value 0,000 <em>(p </em><em>&gt; </em><em>0.05) </em>H a rejected means it shows that there is a significant relationship between social culture and <em>breastfeeding self-efficacy.</em><em> </em><em> </em><em>The Breastfeeding Self-Efficacy Score </em>showed that most respondents had high self-confidence ( 82.5 % ).</p><p><strong><em>Conclusion: </em></strong>There is a significant relationship between social culture and <em>breastfeeding self-efficacy.</em><em> </em>In this study, it can be said that respondents in the research area do not have traditions, culture, and taboos that do not support breastfeeding. The majority of respondents with supportive social culture (95%) have high <em>breastfeeding self-efficacy </em>(73%) with quite a large difference from moderate and very low <em>breastfeeding self-efficacy (27%)</em><em></em></p>
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Authors: Kim Kyungmo , Park Seongkeun , Min Jeongwon , Park Sumin , Kim Ju Yeon , Eun Jinsu , Jung Kyuha , Park Yoobin Elyson , Kim Esther , Lee Eun Young , Lee Joonhwan , Choi Jinwook 
Published: October 2024

Abstract

Background
The bidirectional encoder representations from transformers (BERT) model has attracted considerable attention in clinical applications, such as patient classification and disease prediction. However, current studies have typically progressed to application development without a thorough assessment of the model’s comprehension of clinical context. Furthermore, limited comparative studies have been conducted on BERT models using medical documents from non–English-speaking countries. Therefore, the applicability of BERT models trained on English clinical notes to non-English contexts is yet to be confirmed. To address these gaps in literature, this study focused on identifying the most effective BERT model for non-English clinical notes.

Objective
In this study, we evaluated the contextual understanding abilities of various BERT models applied to mixed Korean and English clinical notes. The objective of this study was to identify the BERT model that excels in understanding the context of such documents.

Methods
Using data from 164,460 patients in a South Korean tertiary hospital, we pretrained BERT-base, BERT for Biomedical Text Mining (BioBERT), Korean BERT (KoBERT), and Multilingual BERT (M-BERT) to improve their contextual comprehension capabilities and subsequently compared their performances in 7 fine-tuning tasks.

Results
The model performance varied based on the task and token usage. First, BERT-base and BioBERT excelled in tasks using classification ([CLS]) token embeddings, such as document classification. BioBERT achieved the highest F1-score of 89.32. Both BERT-base and BioBERT demonstrated their effectiveness in document pattern recognition, even with limited Korean tokens in the dictionary. Second, M-BERT exhibited a superior performance in reading comprehension tasks, achieving an F1-score of 93.77. Better results were obtained when fewer words were replaced with unknown ([UNK]) tokens. Third, M-BERT excelled in the knowledge inference task in which correct disease names were inferred from 63 candidate disease names in a document with disease names replaced with [MASK] tokens. M-BERT achieved the highest hit@10 score of 95.41.

Conclusions
This study highlighted the effectiveness of various BERT models in a multilingual clinical domain. The findings can be used as a reference in clinical and language-based applications.
An Online Multimodal Food Data Exploration Platform for Specific Population Health: Development Study
Authors: Yang Lin , Guo Zhen , Xu Xiaowei , Kang Hongyu , Lai Jianqiang , Li Jiao 
Published: October 2024

Background
Nutrient needs vary over the lifespan. Improving knowledge of both population groups and care providers can help with healthier food choices, thereby promoting population health and preventing diseases. Providing evidence-based food knowledge online is credible, low cost, and easily accessible.

Objective
This study aimed to develop an online multimodal food data exploration platform for easy access to evidence-based diet- and nutrition-related data.

Methods
We developed an online platform named Food Atlas in collaboration with a multidisciplinary expert group from the National Institute for Nutrition and Health and Peking Union Medical College Hospital in China. To demonstrate its feasibility for Chinese food for pregnant women, a user-friendly and high-quality multimodal food knowledge graph was constructed, and various interactions with graph-structured data were developed for easy access, including graph-based interactive visualizations, natural language retrieval, and image-text retrieval. Subsequently, we evaluated Food Atlas from both the system perspective and the user perspective.

Results
The constructed multimodal food knowledge graph contained a total of 2011 entities, 10,410 triplets, and 23,497 images. Its schema consisted of 11 entity types and 26 types of semantic relations. Compared with 5 other online dietary platforms (Foodwake, Boohee, Xiachufang, Allrecipes, and Yummly), Food Atlas offers a distinct and comprehensive set of data content and system functions desired by target populations. Meanwhile, a total of 28 participants representing 4 different user groups were recruited to evaluate its usability: preparing for pregnancy (n=8), pregnant (n=12), clinicians (n=5), and dietitians (n=3). The mean System Usability Scale index of our platform was 82.5 (SD 9.94; range 40.0-82.5). This above-average usability score and the use cases indicated that Food Atlas is tailored to the needs of the target users. Furthermore, 96% (27/28) of the participants stated that the platform had high consistency, illustrating the necessity and effectiveness of health professionals participating in online, evidence-based resource development.

Conclusions
This study demonstrates the development of an online multimodal food data exploration platform and its ability to meet the rising demand for accessible, credible, and appropriate evidence-based online dietary resources. Further research and broader implementation of such platforms have the potential to popularize knowledge, thereby helping populations at different life stages make healthier food choices.
Discurso como patrimônio cultural imaterial: um estudo sobre o funk no Brasil
Authors: Vasconcelos Sandra Maia Farias , Holanda Samuel Freitas 
Published: October 2024

Este estudo é um recorte de uma pesquisa intitulada Intergeracionalidade discursiva como Patrimônio Cultural Imaterial de transmissão da memória: um estudo sobre o funk no Brasil. Para este recorte, tivemos como objetivo analisar duas músicas de cantoras e compositoras do funk nacional, considerando suas possíveis influências sobre a sociedade e seus investimentos discursivos sobre a transmissão cultural imaterial do funk como Patrimônio Cultural Imaterial (PCI). Para as análises, servimo-nos da teoria do posicionamento discursivo de Maingueneau (2016) e do não-conformismo moral de Jertfelt (2019). Compreendemos desse modo que a transmissão de conhecimentos é formadora de identidade graças à memória e se torna PCI logo que essas memórias são tomadas como parte da identidade de uma comunidade. Assim, esse artigo traz os primeiros resultados de nossas reflexões sobre a interculturalidade e a transmissão cultural no que tange à musicalidade originada em uma comunidade específica – o funk.
Narrativas e metáforas: um elo na construção dos sentidos emergentes na interação
Authors: Clarindo Gabriel Maria Helena 
Published: October 2024

Narrativas, e como elas são construídas, carregam vários significados e estão repletas de veículos metafóricos (VMets). Através das narrativas, as ações e intenções humanas são marcadas de diversas maneiras (Bruner, 2002), entre elas, pela linguagem figurada. Assim, o objetivo principal deste artigo é apresentar uma breve discussão sobre narrativas, mostrar que podem assumir formas de metáforas (Ritchie, 2017), assim como as metáforas podem encapsular várias histórias (Ritchie, 2022). Neste intuito, apresentamos as análises de duas narrativas em contextos marcados pelo tema da violência. Para isso, desenvolvemos um diálogo entre teorias da Narrativa (Abbott, 2002; Labov; Waletsky, 1967) e Metáforas (Lakoff; Johnson, 1980; 1999), (Lakoff; Narayanan, 2010) e utilizamos a metodologia qualitativa, baseada na Análise do Discurso à Luz da Metáfora (ADM), (Cameron et al., 2009; Cameron; Maslen, 2010). Corroboramos a ideia de que as narrativas conversacionais têm um potencial metafórico (Ritchie, 2017), e, assim como as metáforas e metáforas sistemáticas, são usadas para expressar ideias, pensamentos, e atitudes (Cameron, Maslen, 2010).