bluuebunny/crossref_metadata_2025_split huggingface dataset:
People of the sea, or of the soil? How the balance of marine and terrestrial resource availability informs maximum population on four Polynesian islands
Authors: Puleston Cedric O. , Kahn Jennifer G. , Chadwick Oliver A. , Belluzzo Nick , Kirch Patrick V. 
Published: July 2024

Abstract

Most studies of the food resource potential of early Polynesian populations focus exclusively on agricultural potential, and specifically starchy staples, despite the importance of the marine world to the Polynesians. In an attempt to more accurately estimate total precontact food resource availability, we characterized the terrestrial and near-shore marine environments of four Polynesian islands: Moʻorea, Maupiti, Mangareva and Taravai. We estimate the agricultural potential of each island after a consideration of the ecological factors related to productivity. We also estimate the productivity of the near-shore marine environment as a function of surface area. Using a range of fish yield scenarios from Pacific subsistence systems we scale relative measures of faunal food biomass derived from local archaeological excavations to generate absolute biomass estimates. We convert our estimates of agricultural and fished/foraged food potential into a maximum population size based on calorie availability. Moʻorea’s fertile valleys and wetlands would potentially generate sufficient food energy, mostly from starchy staples, to support a considerable population, many times larger than the other islands. In the most likely fish yield scenario Moʻorea gets only 0.4% of its calories from marine sources, while the others range from 7-18%. These relative inputs reflect the vast superiority in productivity (in terms of calories per km2) of agricultural vs near-shore marine zones. We also find that population size on islands with smaller fringing reefs, as illustrated by Moʻorea, may have been limited by a lack of fish protein. Moʻorea’s maximum population is approximately halved when diet breadth is considered.
Governança e os programas de integridade: Um olhar sobre os desafios regionais das prefeituras brasileiras
Authors: Marvão Danila Resende Duarte , Becker Fagner Marcelo Santos , Ferola Bruno Galvão , Rodrigues Jeniffer de Aguilar , Morais de Amorim Rodrigo 
Published: July 2024

Objetivo: analisar os desafios regionais enfrentados por prefeituras brasileiras na implementação de programas de integridade. Pretende-se identificar as fragilidades e boas práticas na adoção desses programas.
Método: A pesquisa adotou uma abordagem qualitativa, utilizando questionários estruturados para coleta de dados. Foram selecionadas prefeituras de todas as regiões do Brasil, com diferentes portes, perfis populacionais e orçamentários. As respostas foram analisadas para identificar temas recorrentes, padrões e relações entre os desafios e as práticas observadas.
Resultados: Os principais resultados indicam que, embora 90% das prefeituras não possuam programas de integridade, conforme diagnóstico do CONACI, há um avanço significativo na adoção desses programas em municípios de diversos portes. As dificuldades mais comuns incluem a falta de instância responsável pelas ações do programa, baixa disseminação de conhecimento sobre compliance, integridade e ESG, limitações de recursos humanos e financeiros, baixa aderência à Lei Geral de Proteção de Dados (LGPD) e dificuldades para adequação à nova Lei de Licitações.
Originalidade/Relevância: O estudo se insere na lacuna teórica referente à implementação de programas de integridade em contextos regionais diversos e de baixa maturidade em governança e compliance. A relevância acadêmica da pesquisa reside na compreensão das especificidades regionais que influenciam a adoção de práticas de integridade, destacando a necessidade de abordagens personalizadas e adaptativas.
Contribuições teóricas/metodológicas: A pesquisa contribui teoricamente ao evidenciar a importância de adaptar os programas de integridade às realidades locais, reforçando a necessidade de flexibilidade na implementação de políticas de compliance. Metodologicamente, o estudo demonstra a eficácia da análise qualitativa de questionários estruturados para mapear desafios e boas práticas em governança pública.
Contribuições sociais/para a gestão: As implicações sociais e gerenciais incluem a identificação de estratégias para a implementação de programas de integridade em diferentes contextos municipais e regionais. O estudo sugere a importância de apoio técnico e consultorias especializadas para superar as barreiras identificadas.
Energy Metabolism Dysregulation in Myocardial Infarction: An Integrative Analysis of Ischemic Cardiomyopathy
Authors: Wang Zongtao , Xie Zhixin , Li Tudi , Chen Rong , Zeng Zhihuan , Guo Jun 
Published: July 2024

Background:
Myocardial metabolism is closely related to functional changes after myocardial
infarction (MI).

Objective:
This study aimed to present an integrative examination of human ischemic cardiomyopathy.

Methods:
We used both GSE121893 single-cell suspension sequencing and GSE19303 transcription
microarray data sets from the GEO database, along with a murine MI model for full-spectrum metabolite
detection. Through a systematic investigation that involved differential metabolite identification
and functional enrichment analysis, we shed light on the pivotal role of energy metabolism dysregulation
in the progression of MI.

Results:
Our findings revealed an association between the core regulatory genes CDKN1A, FOS,
ITGB4, and MAP2K1 and the underlying pathophysiology of the disease. These genes are identified
as critical elements in the complex landscape of myocardial ischemic disorder, highlighting novel
insights into therapeutic targets and the intricate biological mechanisms involved.

Conclusion:
This analysis provides a framework for future research on the metabolic alterations associated
with MI.
Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
Authors: Madububambachu Ujunwa , Ukpebor Augustine , Ihezue Urenna 
Published: July 2024

Introduction
This study aims to investigate the potential of machine learning in predicting mental health conditions among college students by analyzing existing literature on mental health diagnoses using various machine learning algorithms.

Methods
The research employed a systematic literature review methodology to investigate the application of deep learning techniques in predicting mental health diagnoses among students from 2011 to 2024. The search strategy involved key terms, such as “deep learning,” “mental health,” and related terms, conducted on reputable repositories like IEEE, Xplore, ScienceDirect, SpringerLink, PLOS, and Elsevier. Papers published between January, 2011, and May, 2024, specifically focusing on deep learning models for mental health diagnoses, were considered. The selection process adhered to PRISMA guidelines and resulted in 30 relevant studies.

Results
The study highlights Convolutional Neural Networks (CNN), Random Forest (RF), Support Vector Machine (SVM), Deep Neural Networks, and Extreme Learning Machine (ELM) as prominent models for predicting mental health conditions. Among these, CNN demonstrated exceptional accuracy compared to other models in diagnosing bipolar disorder. However, challenges persist, including the need for more extensive and diverse datasets, consideration of heterogeneity in mental health condition, and inclusion of longitudinal data to capture temporal dynamics.

Conclusion
This study offers valuable insights into the potential and challenges of machine learning in predicting mental health conditions among college students. While deep learning models like CNN show promise, addressing data limitations and incorporating temporal dynamics are crucial for further advancements.
Formulation and Evaluation of Microsponges-loaded Transdermal Gel for the Management of Osteoarthritis
Authors: Sen Shiwani , Sharma Anjali , Kriplani Priyanka , Malhotra Hitesh , Mittal Vishnu 
Published: July 2024

Background:
Osteoarthritis (OA) stands as the most widespread form of arthritis,
representing a primary source of pain and functional impairment among the elderly. It is often
referred to as a degenerative joint disease. OA is more than just wear and tear; it is an aberrant
remodelling of joint tissues prompted by a deluge of inflammatory mediators released within the
compromised joint. This disease affects 15 million people in India annually.

Objective:
Aceclofenac is a COX-2 inhibitor that has anti-inflammatory activity. However, aceclofenac
has a short mean plasma elimination half-life and poor water solubility. It requires frequent
dosing, which has been linked to a number of negative side effects, including bleeding
and gastrointestinal irritation. A potential solution to this problem is the transdermal administration
of aceclofenac using microsponges. In order to have a synergistic effect along with the bioenhancer
effects, piperine was incorporated into the formulation.

Methods:
Microsponges were created using the quasi-emulsion solvent diffusion method. After
characterization, the prepared microsponges were incorporated into the Carbopol gel. The in
vivo study focused on evaluating the optimized formulation, F1.

Results:
All the prepared microsponge formulations underwent assessment based on parameters
including yield of production, entrapment efficiency, and in vitro drug release. The outcomes
indicated that batches ranging from F1 to F9 showed positive entrapment efficiency and in vitro
drug release. From 50.37% to 80.76 % and 71.18% to 91.8% and in vivo studies the results reveal
that the inflammatory cells in the best formulation Ace(B)group were reduced hence the
formulation's anti-inflammatory impact was achieved.

Conclusion:
The findings indicate that Formulation F1 exhibits superior entrapment and enhanced
drug release. The kinetics study suggests that the optimized formulation aligns well with
the Higuchi model and adheres to the Fickian transport drug release mechanism. Animal study
findings suggest that optimized formulation Ace(B)may possess ideal -anti-osteoarthritic activity
for osteoarthritic disease. Further clinical trials on humans may be conducted in order to
make the research fruitful for society.
АКТИВНІ МЕТОДИ НАВЧАННЯ В СЕСТРИНСЬКІЙ ОСВІТІ
Authors: Гвоздецька Галина , Олійник Наталія 
Published: July 2024

В статті описуються та аналізуються найбільш ефективні для сестринської освіти методи активного навчання, такі як симуляція, метод наставництва, навчання за допомогою колег, навчання за допомогою інтернет-технологій, метод концептуальних карт, метод «перевернутого класу», спільне навчання, командне навчання, проблемне навчання та проєктне навчання. Застосування в освітньому процесі в закладах вищої сестринської освіти розглянутих методів активного навчання сприяє зміні освітньої парадигми від традиційного навчання, орієнтованого на надання контенту та накопичення знань, до парадигми, що підтримує активне навчання і відповідає потребам сучасних студентів та вимогам часу. Саме тому викладачам і закладам сестринської освіти варто знайомитись із методами активного навчання та адаптовувати їх до своїх освітніх програм і навчальних компонентів. Запровадження в освітнє середовище і освітній процес розглянутих методів активного навчання може на початку підвищити тривожність студентів. Запровадження цих методів також вимагає додаткових затрат часу та збільшення робочого навантаження викладачів, передбачає забезпечення відповідних умов для підготовки та адаптації цих методів. Проте, дослідження показало, що запровадження в освітнє середовище і освітній процес усіх розглянутих методів активного навчання має значні переваги. Застосування цих методів забезпечує позитивні результати в формуванні у студентів, майбутніх сестер/братів медичних, необхідних загальних та фахових компетентностей, навичок критичного та клінічного мислення, студенти стають більш підготовленими до вимог клінічних умов. А якісна сестринська освіта, в якій використовуються інноваційні та активні методи навчання також підвищуватиме якість медичних послуг.
Correlates of Mild Behavioral Impairment in Older Adults: Protocol for a Scoping Review
Authors: Yoon Seolah , Jeong Innhee , Kim Jennifer Ivy , Hong Dahye , Kang Bada 
Published: July 2024

Background
Understanding mild behavioral impairment, a relatively recent notion in neuropsychological studies, provides significant insights into early behavioral indicators of cognitive decline and predicts the onset of dementia in older adults. Although the importance of understanding mild behavioral impairment is acknowledged, comprehensive reviews of its correlates with older adults are limited.

Objective
This scoping review aims to identify the impact of mild behavioral impairment on health outcomes in older adults and the factors associated with mild behavioral impairment.

Methods
The review will adhere to the Joanna Briggs Institute’s methodological principles for scoping reviews. We will include studies focusing mainly on mild behavioral impairment in older adults, with the literature on this topic being limited to the period from 2003 to the present. Other clinical diagnoses, such as cognitive impairment, Parkinson disease, and multiple sclerosis, will not be included. We will use databases including PubMed (MEDLINE), CINAHL, Web of Science, Embase, PsycINFO, Cochrane, and Scopus for relevant articles published in English. Both gray literature and peer-reviewed articles will be considered during screening. Three independent reviewers will extract data using a predefined data extraction tool. Extracted data will be presented using tables, figures, and a narrative summary aligned with review questions, accompanied by an analysis of study characteristics and categorization of mild behavioral impairment correlates.

Results
The results will be presented as a descriptive summary, structured according to the associated factors related to mild behavioral impairment, and the health outcomes. Additionally, the data on study characteristics will be presented in tabular format. An exploratory search was conducted in July 2023 to establish a comprehensive search strategy, and iterative refinements to the scoping review protocol and formalization of methods were completed. A follow-up search is planned for May 2024, with the aim of submitting the findings for publication in peer-reviewed journals.

Conclusions
To our knowledge, this would be the first study to map the literature on the health-related factors and outcomes of mild behavioral impairment. The findings will support the development of interventions to prevent the occurrence of mild behavioral impairment and mitigate the negative outcomes of mild behavioral impairment.

International Registered Report Identifier (IRRID)
DERR1-10.2196/60009
Comparative Analysis of Image Classification Methods on Cat Breeds and Behavior using Machine Learning Techniques
Authors: Ansari Adeel , Ansari Dr. Seema , Prasla Sara Syed , Naveed Abeera 
Published: July 2024

This research investigates image classification techniques applied to two distinct datasets related to cats. The primary focus is on addressing the problem of accurately classifying cat breeds and cat behavior. This research focuses on the comparative analysis of both deep learning and machine learning techniques. The techniques are categorized as use of Transfer learning on deep learning models, Transfer learning on machine learning algorithms, and Teachable machine pre-trained model. Transfer learning has gained popularity as one of the employed techniques, in inception V3 for classifying images. It requires re-utilizing an existing model, for a new model by applying a small-scale dataset to pace up training and enhance overall performance. Five different methodologies are explored: Convolutional Neural Networks using Google Inception-V3 model, Convolutional Neural Networks on top of Google Inception-V3 model with K-fold cross-validation, Random Forest on Inception V3 features, Support Vector Machine on Inception V3 features, and Teachable Machine model. The study aims to compare the performance of these methodologies in terms of accuracy, F1 score, and ROC-AUC score. The research results show that each approach has levels of effectiveness with various algorithms and models showing accuracy and F1 scores in classifying both cat breeds and behaviors. These findings offer information, on image classification, in datasets related to cats helping to improve the precision of identifying cat breeds and behaviors.
Analisis Chassis Kendaraan Airport Rescue Fire And Fighting Crash Car Type 1
Authors: Kurniawati Zulina , Ismail KGS , Arnas Yenni , Hilmanto Millenias 
Published: July 2024

The chassis is part of the vehicle and requires a strong structure and structure to withstand loads. This part also has the function of maintaining rigidity so that the vehicle does not bend. Damage that commonly appears in Chassis Crash Car X is cracks and corrosion. This study aims to analyze the presence of cracks and corrosion in the chassis of his ARFF crash car type 1 X vehicle at Juanda Surabaya International Airport. The researchers also examined the chassis of the ARFF crash car-analyzing another type of Type 1 vehicle, namely the ARFF crash car Type 1 Y and Z. This study uses qualitative research methods to determine the chassis characteristics of a Type 1 ARFF crash car in service at Juanda Surabaya International Airport. Data analysis using FEM using the Solidworks application determines the values of von Mises stress and chassis displacement versus load and uses calculations to determine the corrosion rate. From the analysis results, the von Mises stress value was close to the yield point value of the material used, the displacement value was the highest, and it had the shortest life. Apart from that, it can be concluded that one of the causes of cracking and corrosion is due to the use of double frames, thus the presence of air gaps as a cause of corrosion formation. Chassis merupakan salah satu bagian kendaraan yang harus memiliki susunan dan konstruksi kuat untuk menahan beban. Bagian ini juga memiliki fungsi untuk menjaga kendaraan agar tetap rigid dan tidak mengalami bending. Kerusakan yang umumnya dialami oleh chassis crash car X adalah crack dan korosi. Penelitian ini bertujuan untuk melakukan analisa terhadap adanya crack dan korosi pada Chassis kendaraan ARFF Crash Car Tipe 1 X yang dimiliki Bandar Udara Internasional Juanda-Surabaya, di samping itu peneliti juga akan melakukan analisa Chassis kendaraan ARFF Crash Car Tipe 1 untuk jenis yang lain yaitu ARFF Crash Car Tipe 1 Y dan Z. Penelitian ini menggunakan metode penelitian kualitatif untuk mengetahui karakteristik dari chassis dari ARFF Crash Car Tipe 1 yang digunakan Bandar Udara Internasional Juanda-Surabaya. Pada proses analisa data menggunakan FEM dengan bantuan aplikasi solidworks untuk mengetahui nilai von mises stress dan displacement chassis terhadap beban dan menggunakan perhitungan untuk mengetahui laju korosi. Dari hasil analisa diperoleh hasil chassis merk X memiliki konstruksi yang paling kurang baik dibandingkan chassis Y dan Z, dikarenakan nilai Von mises stress mendekati nilai yield strength material yang digunakan, memiliki nilai Displacement yang paling besar dan umur yang paling pendek. Selain itu dapat disimpulkan bahwa salah satu penyebab adanya crack dan korosi karena penggunaan double frame, sehingga ada celah udara sebagai penyebab terbentuknya korosi.
POLA KOMUNIKASI INTERPERSONAL PENGAJAR SEKOLAH TANPA ATAP DI DESA CARINGIN, JATINANGOR
Authors: Meidini Bidi Ashri , Astuti Sri Wahyuning 
Published: July 2024

Sekolah Tanpa Atap dibangun dengan harapan agar anak-anak di Desa Caringin dapat memeroleh pendidikan non formal yang tidak mereka dapatkan di sekolah, khususnya yang berkaitan dengan akhlak dan mental. Anak-anak yang tergabung dalam yayasan ini memiliki latar belakang, rentang usia, dan daya tangkap yang berbeda, beberapa di antaranya bahkan merupakan Anak Berkebutuhan Khusus (ABK). Kondisi ini lantas membuat para pengajar harus memiliki metode khusus dalam menangani setiap anak.Salah satu cara untuk mengatasi problematika tersebut adalah melalui komunikasi interpersonal. Adapun tujuan dari penelitian ini yaitu: (1) menjelaskan pola interaksi interpersonal di Sekolah Tanpa Atap Desa Caringin, Jatinangor, (2) menjelaskan penerapan pola komunikasi interpersonal berdasarkan nilai-nilai guna meraih tujuan pembinaan peserta didik di Sekolah Tanpa Atap Desa Caringin, Jatinangor. Metode yang digunakan adalah deskriptif kualitatif, disertai wawancara terstruktur dengan pendiri yayasan, pengajar, serta peserta didik, observasi non partisipatif, dan dokumentasi kegiatan belajar. Berdasarkan penelitian, dapat diketahui bahwa pola komunikasi interpersonal yang dilakukan untuk pembinaan peserta didik di sekolah non formal ini berupa komunikasi satu arah, dua arah dan multi arah. Pola komunikasi yang diajarkanberdasarkan pada nilai-nilai pembinaan siswa, meliputi keimanan, budi pekerti, prestasi, demokrasi, kreativitas, kewirausahaan, kesehatan, sastra dan budaya, serta teknologi informasi – komunikasi. Sekolah Tanpa Atap was built with the hope that children in Caringin Village could receive non formal education which they didn’t get from formal school, especially which related to morals and mentality. Children in this foundation came with different background, age, and comprehension, even some of them are children with special needs. This situation pushes the teacher to plan an exceptional method to handle each student. One way to overcome this problem is through interpersonal communication. The purpose of this research is (1) to explain the pattern of interpersonal interaction at Sekolah Tanpa Atap in Caringin Village, (2) to explain the application of interpersonal communication patterns based on values in order to achieve the goal of fostering students at Sekolah Tanpa Atas in Caringin Village. The method used is qualitative descriptive, accompanied by interview, unsystematic observation and documentation. Based on the research, it can be seen that the pattern of interpersonal communication that dominates this school is one-way, two-way and multi-way communication. The communication patterns used to foster students are based on student development values, including faith, character, achievement, democracy, creativity, entrepreneurship, health, literature and culture, as well as Information and Communication Technology.
The Japanese Conception of Creativity: Myths and Facts
Authors: Ishiguro Chiaki , Sato Tokunori , Inamizu Nobuyuki 
Published: July 2024

Abstract
Empirical research on creativity spanning decades has identified several stereotypes on creativity that are not supported by scientific evidence. Known as creativity myths, these stereotypes can harm an individual’s creative endeavors in school or at the workplace. In prior research, the Creativity Myths and Facts Questionnaire (CMFQ) has been used to empirically investigate the extent to which people approved particular myths and facts related to creativity and the reasons for their belief in them (participants from Austria, Germany, Poland, the USA, China, and Georgia). The current study translated the CMFQ into Japanese and surveyed Japanese participants (N = 3,101). The approval rate for creativity myths among the Japanese was 58%, slightly lower than that for creativity facts (61%), a trend similar to that of other countries. The average approval rates for creativity myths in the Japanese sample suggest that the participants, compared to those from the six countries examined in prior research, have a stronger belief that creativity is a rare talent, that creativity is the same as art, or that it is difficult to change creativity. Furthermore, the results show that demographic variables, knowledge sources, and personality type, which have all been identified in existing studies as factors contributing to the belief in creativity myths, have a weak but significant influence among Japanese participants. We also discuss the high rate of uncertainty as a distinct characteristic in Japanese participants’ responses to creativity myths and facts.