bluuebunny/crossref_metadata_2025_split huggingface dataset:
EVALUASI KEBUTUHAN JARINGAN IRIGASI (STUDI KASUS DAERAH IRIGASI BATANG ANAI) SUB-DI LUBUK ALUNG MENGGUNAKAN PROGRAM CROPWAT 8.0 DAN HEC-RAS 5.0.1
Authors: Afandi Ahmad , Nofrizal Nofrizal , Yulan Nifen Silta , Agus Agus 
Published: November 2024

Daerah Irigasi Lubuk Alung termasuk pengelompokan dari Daerah Irigasi Batang Anai yang luas, umumnya sebahagian penduduknya adalah petani, maka kebutuhan air untuk lahan pertanian sangat diperlukan, apabila kurangnya pasokan air untuk irigasi dapat menghambat laju musim tanam. Tujuan dari penelitian ini yaitu menghitung kebutuhan air irigasi pada persawahan dan perkebunan daerah irigasi Lubuk Alung dan mengetahui hasil dimensi exitingnya. Perhitungan kebutuhan air irigasi menggunakan metode KP-01 dan software Cropwat 8.0, untuk mencari dimensi exitingnya menggunakan software HEC-RAS 5.0.1. Dari hasil perhitungan kebutuhan air irigasi dengan metode KP-01 didapatkan nilai 1,42 l/dt/ha pada bulan April dan hasil perhitungan kebutuhan air irigasi yang dengan menggunakan program Cropwat 8.0 didapatkan nilai sebesar 0,36 l/dt/ha pada bulan Maret. Pada perhitungan cross section dengan software HEC-RAS 5.0.1 debit yang dipakai yaitu pada saluran primer BLS.1-BLS.2 yaitu 21,566 m3//dt dengan data dimensi saluran di hulu (P0) dengan lebar saluran (b) = 11 m, tinggi saluran H = 2,87 m dan tinggi saluran di hilir (P16) (H) = 3,14 m, dari hasil running dengan software HEC-RAS 5.0.1 didapatkan tinggi muka air di hulu (P0) (h) = 1,2 m dan tinggi muka air di hilir (P16) (h) = 1,13 m, sedangkan dari data tinjauan lapangan didapatkan tinggi air di hulu (P0) (h) = 1,23 m dan pada di hilir (P16) (h) = 1,15 m. Dari hasil yang lihat pada gambar cross section disimpulkan tinggi dimensi saluran yang tidak sama tinggi. Dalam mengatasi masalah tersebut, maka dicoba membuat ulang desain penampang saluran yang efesien. didapatkan hasil dimensi saluran exiting dengan lebar dasar saluran (b) = 8 m, lebar atas saluran (B) = 17,76 m, tinggi muka air (h) = 1,56 m, tinggi saluran (H) = 2,44 m, dan tinggi jagaan (w) = 0,88 m.
A BIBLIOMETRIC ANALYSIS AND MAPPING STUDY OF RISK MANAGEMENT IN ISLAMIC FINANCIAL INSTITUTIONS
Authors: Alghamati Adel Khalifa , Azam Ferdous , Khatibi Abdol Ali 
Published: November 2024

This paper performs a bibliometric analysis on risk management in Islamic financial institutions (IFIs), identifying significant research themes, influential authors, as well as emerging trends from 2003 to 2024. A systematic search strategy identifies 524 relevant publications from the Scopus and Web of Science databases. Using techniques from network analysis, science mapping, and performance analysis with the help of VOSviewer software, we find that 2020 and 2021, with 86 and 97 papers, are the most productive years in both databases. University of New Orleans and International Islamic University Malaysia are significant institutions. The most prominent journal is the International Journal of Islamic and Middle Eastern Finance & Management, which garners the highest number of citations. The Journal of Islamic Accounting and Business Research has the highest number of publications. Malaysia is a significant contributor to this field. Moreover, research on risk management in other sectors has been scant, concentrating solely on Islamic banking. Relying on particular databases and English-language publications could have eliminated relevant non-English research.
Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis
Authors: Mubonanyikuzo Vivens , Yan Hongjie , Komolafe Temitope Emmanuel , Zhou Liang , Wu Tao , Wang Nizhuan 
Published: November 2024

Background
Alzheimer disease (AD) is a progressive condition characterized by cognitive decline and memory loss. Vision transformers (ViTs) are emerging as promising deep learning models in medical imaging, with potential applications in the detection and diagnosis of AD.

Objective
This review systematically examines recent studies on the application of ViTs in detecting AD, evaluating the diagnostic accuracy and impact of network architecture on model performance.

Methods
We conducted a systematic search across major medical databases, including China National Knowledge Infrastructure, CENTRAL (Cochrane Central Register of Controlled Trials), ScienceDirect, PubMed, Web of Science, and Scopus, covering publications from January 1, 2020, to March 1, 2024. A manual search was also performed to include relevant gray literature. The included papers used ViT models for AD detection versus healthy controls based on neuroimaging data, and the included studies used magnetic resonance imaging and positron emission tomography. Pooled diagnostic accuracy estimates, including sensitivity, specificity, likelihood ratios, and diagnostic odds ratios, were derived using random-effects models. Subgroup analyses comparing the diagnostic performance of different ViT network architectures were performed.

Results
The meta-analysis, encompassing 11 studies with 95% CIs and P values, demonstrated pooled diagnostic accuracy: sensitivity 0.925 (95% CI 0.892-0.959; P<.01), specificity 0.957 (95% CI 0.932-0.981; P<.01), positive likelihood ratio 21.84 (95% CI 12.26-38.91; P<.01), and negative likelihood ratio 0.08 (95% CI 0.05-0.14; P<.01). The area under the curve was notably high at 0.924. The findings highlight the potential of ViTs as effective tools for early and accurate AD diagnosis, offering insights for future neuroimaging-based diagnostic approaches.

Conclusions
This systematic review provides valuable evidence for the utility of ViT models in distinguishing patients with AD from healthy controls, thereby contributing to advancements in neuroimaging-based diagnostic methodologies.

Trial Registration
PROSPERO CRD42024584347; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=584347
Practicality of the My Baby Now App for Fathers by Fathers: Qualitative Case Study
Authors: Gaynor Mathew , Hesketh Kylie , Gebremariam Kidane , Wynter Karen , Laws Rachel 
Published: November 2024

Background
Evolving societal trends are resulting in fathers having an increasing influence on the health-related behaviors that children develop. Research shows that most fathers are committed to their role and when equipped with knowledge, can have a positive impact on their child’s health. However, parenting resources typically target mothers, with fathers being excluded. While evolving mobile phone technology provides an efficient means for delivering parenting resources, many fathers find that mobile health (mHealth) technology does not provide material they can engage with.

Objective
This study aimed to explore how to make parenting apps more engaging and useful for fathers using an existing parenting mHealth resource, the My Baby Now app, as a case study.

Methods
A total of 14 purposefully selected, Australian fathers of 7 months to 5-year-old children took part in a qualitative study, comprising either focus groups or interviews. Recorded focus groups and interviews were transcribed verbatim, then coded using a combination of deductive and inductive methods. Reflexive thematic analysis was undertaken to identify patterns and themes.

Results
Current parenting apps provide parenting information that can be unappealing for fathers. To improve paternal engagement with mHealth resources, fathers highlighted the need for father specific information, with an increase in positive imagery and positive descriptions of fathers in their parenting role. There should be father-exclusive domains such as forums, and also push notifications to provide positive reinforcement and encouragement for fathers.

Conclusions
mHealth has the capacity to deliver information to fathers when needed. This reduces the risk of paternal frustration and disengagement from parenting. Further benefit will be gained by research to understand possible differences in mHealth app usage by fathers of differing socioeconomic position, cultural backgrounds, and family status, such as single fathers and same-sex couples.
Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis
Authors: Abroms Lorien C , Yousefi Artin , Wysota Christina N , Wu Tien-Chin , Broniatowski David A 
Published: November 2024

Background
Large language model (LLM) artificial intelligence chatbots using generative language can offer smoking cessation information and advice. However, little is known about the reliability of the information provided to users.

Objective
This study aims to examine whether 3 ChatGPT chatbots—the World Health Organization’s Sarah, BeFreeGPT, and BasicGPT—provide reliable information on how to quit smoking.

Methods
A list of quit smoking queries was generated from frequent quit smoking searches on Google related to “how to quit smoking” (n=12). Each query was given to each chatbot, and responses were analyzed for their adherence to an index developed from the US Preventive Services Task Force public health guidelines for quitting smoking and counseling principles. Responses were independently coded by 2 reviewers, and differences were resolved by a third coder.

Results
Across chatbots and queries, on average, chatbot responses were rated as being adherent to 57.1% of the items on the adherence index. Sarah’s adherence (72.2%) was significantly higher than BeFreeGPT (50%) and BasicGPT (47.8%; P<.001). The majority of chatbot responses had clear language (97.3%) and included a recommendation to seek out professional counseling (80.3%). About half of the responses included the recommendation to consider using nicotine replacement therapy (52.7%), the recommendation to seek out social support from friends and family (55.6%), and information on how to deal with cravings when quitting smoking (44.4%). The least common was information about considering the use of non–nicotine replacement therapy prescription drugs (14.1%). Finally, some types of misinformation were present in 22% of responses. Specific queries that were most challenging for the chatbots included queries on “how to quit smoking cold turkey,” “...with vapes,” “...with gummies,” “...with a necklace,” and “...with hypnosis.” All chatbots showed resilience to adversarial attacks that were intended to derail the conversation.

Conclusions
LLM chatbots varied in their adherence to quit-smoking guidelines and counseling principles. While chatbots reliably provided some types of information, they omitted other types, as well as occasionally provided misinformation, especially for queries about less evidence-based methods of quitting. LLM chatbot instructions can be revised to compensate for these weaknesses.
Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study
Authors: Peasley Dale , Kuplicki Rayus , Sen Sandip , Paulus Martin 
Published: November 2024

Abstract

Background
Large language models have shown promise in transforming how complex scientific data are analyzed and communicated, yet their application to scientific domains remains challenged by issues of factual accuracy and domain-specific precision. The Laureate Institute for Brain Research–Tulsa University (LIBR-TU) Research Agent (LITURAt) leverages a sophisticated agent-based architecture to mitigate these limitations, using external data retrieval and analysis tools to ensure reliable, context-aware outputs that make scientific information accessible to both experts and nonexperts.

Objective
The objective of this study was to develop and evaluate LITURAt to enable efficient analysis and contextualization of complex scientific datasets for diverse user expertise levels.

Methods
An agent-based system based on large language models was designed to analyze and contextualize complex scientific datasets using a “plan-and-solve” framework. The system dynamically retrieves local data and relevant PubMed literature, performs statistical analyses, and generates comprehensive, context-aware summaries to answer user queries with high accuracy and consistency.

Results
Our experiments demonstrated that LITURAt achieved an internal consistency rate of 94.8% and an external consistency rate of 91.9% across repeated and rephrased queries. Additionally, GPT-4 evaluations rated 80.3% (171/213) of the system’s answers as accurate and comprehensive, with 23.5% (50/213) receiving the highest rating of 5 for completeness and precision.

Conclusions
These findings highlight the potential of LITURAt to significantly enhance the accessibility and accuracy of scientific data analysis, achieving high consistency and strong performance in complex query resolution. Despite existing limitations, such as model stability for highly variable queries, LITURAt demonstrates promise as a robust tool for democratizing data-driven insights across diverse scientific domains.
La protección de los derechos humanos en la vida y obra del doctor Sergio García Ramírez
Authors: Romo Medina Miguel 
Published: November 2024

El investigador y profesor Sergio García Ramírez realizó con notable energía una vasta producción de investigaciones, tratados, artículos y conferencias en el ámbito de los derechos humanos, contribuyendo significativamente al entendimiento de esta disciplina. Su inagotable producción editorial es incalculable y perdurable; para ilustrar su magnitud, y en atención al espacio de este conversatorio, permítanme citar una parte de la semblanza editorial difundida por la Universidad Nacional Autónoma de México al otorgarle el título de Maestro Emérito, en la que se resume su extenso legado de publicaciones.
Dragonfly Dominance (Order: Odonata) in the Danau Tangkas Natural Tourism Area, Tanjung Lanjut Village, Muaro Jambi Regency
Authors: Artika Ulin , Kartika Winda Dwi , Subagyo Agus , Mursyd Danial 
Published: November 2024

Dragonflies (Odonata) belong to the phylum Arthropoda class Insecta. Dragonflies are spread in various types of habitats, one of which is in the water area, namely Lake. Danau Tangkas is one of the natural tourism areas in Jambi province. Danau Tangkas is a conducive habitat for dragonfly breeding because the habitat conditions around Danau Tangkas are still beautiful with preserved vegetation. However, the Danau Tangkas area is a tourist area, so it has the potential to experience changes that can have an impact on the dragonfly dominance index. The study aims to analyze the dominance of dragonflies found in the Danau Tangkas natural tourism area. The type of research is exploratory descriptive research. Sampling was done using purposive sampling method. Sampling was carried out at 3 location points that have different characteristics. Made 3 stations with a length of 100 m each to the side and 100 m to the front so as to form a square line. Sample collection is done by hand collecting and using insect nets. Data analysis techniques using Simpson's dominance index calculation. The results of research that has been carried out in the Danau Tangkas natural tourism area, obtained as many as 447 individuals, 9 species belonging to 3 families. So it is known that the dragonfly dominance index in the Tangkas Lake natural tourism area is low with a value of 0.4.
SPATIAL AND TEMPORAL B-VALUE ANALYSIS OF THE YOGYAKARTA REGION USING EARTHQUAKE DATA 1960 – 2024
Authors: R Sari Rahayu , Madrinovella Iktri 
Published: November 2024

Yogyakarta is one of the areas in Indonesia with a high risk of earthquakes due to its proximity to the subduction zone of the Indo-Australian Plate and Eurasian Plate and the presence of active fault activity, namely the Opak fault, which generates shallow earthquakes. A total of 13 destructive earthquakes were recorded in Yogyakarta and surrounding areas from 1840 to 2023, with the most destructive earthquake occurring in 2006 in Bantul. A total of 417 earthquakes were felt in the Yogyakarta area between May 2006 and March 2016. The high earthquake activity after the 26 May 2006 earthquake indicates a stress field on the active fault segment that has not been fully released. This study aims to analyze the seismotectonic parameter b-value spatially and temporally to determine the accumulation of tectonic stress in Yogyakarta. The method used is a frequency-magnitude distribution with Gutenberg-Richter relation and Maximum Likelihood approach. Earthquake data were obtained from ISC and BMKG catalogs, with a total of 205 events. The results show that spatially, the b-value of the Yogyakarta region is generally low with a range of values of 0.35 - 0.75 using a grid of 1.5 x 1.5 km and a radius of 15 km with low values around the Opak fault and Ngalang Fault, meaning that the area still holds a high accumulation of stress energy and has the potential for large earthquakes to occur again in the future. Temporal analysis of the b-value shows a tendency for the b-value to decrease before a large earthquake and increase afterwards, reflecting the accumulation and release of stress in the rock.
Effectiveness of Cooling Methods in Reducing Losses During Cherry Storage
Authors: Hutsol Taras , Priss Olesia , Ivanova Iryna , Serdуuk Marina , Cupiał Michał , Tymoshchuk Tetiana , Havrylianchyk Ruslan , Prokopchuk Liliya , Kowalczyk Zbigniew 
Published: November 2024

Abstract
Efficient use of energy and resources is vital for fostering the sustainable development of our planet and fighting hidden hunger. One way to address this issue is by preserving the quality of raw materials from fruits over a prolonged period. However, fruits have the highest rate of losses and waste among food products. Incorrect selection of cooling procedures and inappropriate cooling rates can lead to post-harvest quality losses, which in turn will result in loss of product quality and energy. Research into methods capable of minimizing losses and extending the storage life of fruits is essential to determine their effectiveness. The purpose of the research was to evaluate the impact of different cooling methods on the reduction of losses and the extension of the shelf life of cherries. The study involved sweet cherries of different ripening periods (Melitopolska chorna, Krupnoplidna and Valerii Chkalov) and sweet cherries of the Vstriecha variety. The influence of room cooling, forced air cooling, hydrocooling with the addition of lactic and acetic acid, and combined cooling method on cooling rate, weight loss, epiphytic microflora condition, respiratory intensity and heat generation during cherry storage was analyzed. The highest fruit weight losses were observed when using the forced air cooling method, ranging from 1.76 to 1.96%. The combined cooling method for cherries and sour cherries reduced average fruit weight losses by 11.3-22.9 times compared to other methods. When using the combined method, the number of bacteria and fungi on the surface of cherry fruits remained at the same level as before cooling or decreased by 10 to 40% depending on the variety. On the surface of the fruits of the Vstriecha sour cherry variety, the number of bacteria and fungi decreased from 20 to 60% compared to the indicators of the epiphytic microflora before cooling. The proposed combined precooling method is determined to be the most effective in terms of technological indicators and preservation of the quality of cherry and sour cherry fruits. Further studies of the impact of cooling methods on cherry quality will allow the development of mathematical modeling approaches to quantitatively describe precooling processes throughout the entire refrigeration chain for fruit preservation.
Leveraging Unseen Features along with their PLM-based Representation to Handle Negative Covariate Shift Problem in Text Classification
Authors: Wasi Nesar Ahmad , Abulaish Muhammad 
Published: November 2024

Abstract
This paper presents a novel approach to address the problem of negative covariate shift by using unseen features. Covariate shift occurs when there is a drift between the data observed during the training and testing phase of a machine learning model. Covariate shift typically transpires in the negative class as a consequence of the swift evolution of topics discussed therein, which is driven by the characteristics of online social media. Because there is a shift in data, it signals that the data is changing, and it includes features that the trained model did not see during the training phase. We refer to such features as unseen features. To the best of our knowledge, we are the first to use unseen features to address negative covariate shift problem. The proposed approach is compared to three baselines and one state-of-theart method. The experimental results obtained from a multi-domain sentiment dataset show that the proposed approach outperforms the baselines and state-of-the-art approaches by a significant margin in terms of various performance evaluation metrics.
Globalisation and the Challenges of Managing Cultural Diversity: From Multiculturalism to Interculturalism
Authors: Gross-Gołacka Elwira , Martyniuk Anna 
Published: November 2024

Abstract

Objective
The aim of the article is to analyse the impact of globalisation on managing cultural diversity in organisations, considering two approaches: multiculturalism and interculturalism. The article seeks to identify the key challenges faced by organisations in a globalised world and assess which approach – multiculturalism or interculturalism – is more effective in promoting social cohesion, innovation, and competitiveness in the global market.

Methodology
The article uses a literature review and case study analysis from international corporations. It evaluates the different approaches based on available empirical research and reports.

Findings
Interculturalism is found to be more effective than multiculturalism in promoting integration and innovation. However, implementing this strategy requires appropriate resources and leadership commitment.

Value Added
The added value of the article lies in providing a comprehensive analysis of two approaches to managing cultural diversity in the context of globalisation, which is relevant for both theorists and management practitioners. The article offers new insights into the effectiveness of interculturalism as a strategy supporting organisational development in a globalised world, while also proposing practical recommendations for implementing these strategies.

Recommendations
It is recommended to develop intercultural competencies and implement policies that promote dialogue and cooperation. Organisations should prioritise diversity management as a strategy.
Use of Eristics by Polish Managers
Authors: Ignatowski Grzegorz 
Published: November 2024

Abstract

Objective
The aim of this article is to find out to what extent and for what reasons managers use unethical eristic tricks to persuade their employees.

Methodology
The research used qualitative methods, in-depth interviews with eleven managers, which were conducted in May and June 2024. The selection of respondents was purposive, allowing for a deeper understanding of the issue.

Findings
Managers know and use eristic tricks in their professional work and their use is driven by effectiveness, regardless of the fact that they are considered unethical.

Value added
The use of eristic tricks in management is not widely discussed in the literature and, in the long term, their use negatively affects the functioning of any organisation.

Recommendations
The results of the research and the negative effects of eris-tic behaviour in organisational management should be of interest to managers, creators of codes of ethics in organisations and trainers of the art of persuasion. Eristic behaviour should be avoided in communication with staff and in the management of organisations.