bluuebunny/crossref_metadata_2025 huggingface dataset:
Criopreservação: A Importância da Preservação da Fertilidade em Mulheres Submetidas a Tratamento Oncológico
Authors: Silva Paloma Ximenes Maranguape da , Silva Luana Ximenes Maranguape da , Ruiz Carla Regina Fonseca , Nunes Júlia Vitória da Silva , Silva Gabryel Caluete da , Mendonça Ana Carolina da Fonseca
Published: November 2024

Este trabalho aborda a criopreservação, uma técnica que preserva células e tecidos biológicos a baixas temperaturas com o objetivo de preservar a fertilidade de mulheres submetidas a tratamentos oncológicos. São exploradas as principais técnicas, como a criopreservação de ovócitos, embriões e tecido ovariano, bem como suas aplicações clínicas. Esta revisão bibliográfica enfatiza a importância da técnica na preservação da fertilidade feminina diante dos efeitos gonadotóxicos dos tratamentos contra o câncer. Com isso, essa tecnologia permite que essas pacientes mantenham a possibilidade de engravidar futuramente, contribuindo para uma melhor qualidade de vida após o tratamento.
Revisiting Franco Moretti’s Concept and Practice of Literary Geography
Authors: Chen Shuping
Published: November 2024

The research observed Franco Moretti, an influential Italian literary critic who had made significant contributions to the field of literary geography, a cross-disciplinary theory that utilized geographical methods to analyze and understand literary and cultural materials. Moretti’s approach to literary geography diverged from traditional and orthodox methods, offering a fresh perspective. The research applied a qualitative method with a closereading approach to evaluate and explore Moretti’s conceptualization and implementation of literary geography through a systematic three-step research process. The first step involved identifying the intellectual and theoretical sources of inspiration that have influenced Moretti’s work. The second step focused on illuminating Moretti’s innovative understanding and interpretation of literary geography as well as his integration of literary maps into the analysis of literature. Lastly, the research investigated two case studies to further exemplify Moretti’s practices in the field of literary geography. The first case study regarded Jane Austen’s fiction, where Moretti’s approach unveils Austen’s geographical imagination of Britain in her novels. The second one centers on Mary Mitford’s ‘Our Village’, where Moretti discovered the circular narrative pattern. By undertaking these three comprehensive steps, the research offers valuable insights into literary geography’s conceptual and methodological dimensions. Additionally, it endeavors to cultivate a deeper appreciation for the interdisciplinary nature of literary geography, thereby inspiring scholars and researchers to delve further into the intersections between geography,  literature, and culture.
Becoming French in School: Memories of School Life in Chemin D’école by Patrick Chamoiseau
Authors: Hayuningsih Arifah Arum Candra
Published: November 2024

The research explored the theme of ‘becoming French’ in the novel Chemin d'école by Patrick Chamoiseau. The novel offered a unique perspective on the complex issues of identity, language, and colonial legacy within the Caribbean educational context. The central focus of the research was to examine how the mission civilisatrice was implemented through the education system in the French colonies. The French mission civilisatrice aimed to ‘civilize’ the colonies, exerting influence over the lives of children within these territories. In this postcolonial narrative, Chamoiseau challenged the erasure of Creole culture and identity as children were molded into the French mold. His work underscored the tension between the native language and the French language, serving as a commentary on linguistic and cultural colonialism. Incorporating Frantz Fanon’s theoretical framework from “Black Skin, White Masks”, the research illuminated colonialism’s psychological and cultural impacts, revealing the enduring consequences of internalized racism and the complexities of ‘becoming French’ in a postcolonial context. A qualitative research design utilizing literary analysis was applied, involving systematic reading and coding of Chamoiseau’s novel. The findings suggest that through its portrayal of the education system, language erasure, and cultural identity, the novel offers a poignant and thought-provoking narrative that illuminates the process of ‘becoming French’ in a postcolonial context, providing insights into the challenges and complexities faced by individuals subjected to the mission of French civilization.
Speech Acts in the Closing Speech of the G20 Summit by President Joko Widodo “We Must End The War”
Authors: Hadiati Chusni , Muttaqin Usep , Yulianita Nadia Gitya
Published: November 2024

The research aimed to discover the types of speech acts that existed and elaborated them according to the national and international context. The G20 group consisted of 19 countries and Spain as a permanent guest with the largest economies in the world plus one intergovernmental and supranational organization, namely, the European Union. The research categorized the president’s utterances into five types of speech acts: representatives, expressives, declarations, directives, and commissives. Among the 49 utterances, representatives were the most prevalent, indicating the president’s intent to present factual statements in front of global leaders. The research highlighted the strategic use of plural subjects in directives to involve both the speaker and the audience in the commitment. Expressives were employed to convey gratitude and welcome world leaders, showcasing the president’s politeness and respect. Commissives reflected the president’s commitment to global issues such as peace, food sustainability, and economic recovery. The researchers collected the data through several steps. The first was transcribing the speech; afterward, the researchers picked and classified those utterances based on Searle’s classification of speech acts. The findings underscore the importance of context in understanding the meaning and intention behind political speeches at international forums like the G20 Summit.
Persuasive Linguistic Strategies in Indonesian E-Commerce Campaigns for the 2021 Pandemic Marketing Framework
Authors: Maharani Putri , Paendong Stevean Misael , Amiruddin Nurhalimah
Published: November 2024

The research examined the use of persuasive linguistic strategies in the marketing campaigns of Indonesia’s top e-commerce platforms during the COVID-19 pandemic in 2021. The research analyzed media coverage data collected manually over the year, focusing on Tokopedia, Shopee, Bukalapak, Lazada, and Blibli. Each platform utilized unique linguistic techniques to address consumer concerns and maintain trust amidst the crisis. Emotive appeals, such as language evoking safety and community, urgency through time-sensitive offers, and social proof showcasing widespread acceptance, were used to influence consumer behavior. The analysis reveals that Blibli emphasizes strategic partnerships and acquisitions, while Shopee employs aggressive promotional campaigns. Tokopedia highlights national pride and community support, Bukalapak focuses on government collaborations, and Lazada has limited promotional impact compared to its competitors. The research demonstrates that Lazada’s slower growth is tied to its underutilization of persuasive language, highlighting the importance of linguistic strategies in maintaining consumer trust and market visibility during crises. The research contributes to understanding how persuasive language can serve as a critical marketing strategy in times of uncertainty, with platforms like Shopee and Tokopedia successfully leveraging these techniques to engage consumers. Limitations include potential data incompleteness due to manual tracking methods, and future research is recommended to explore consumer responses to these advertising strategies.
A ilicitude da prova obtida por meio da neurotecnologia no processo penal e a violação de direitos da personalidade do acusado
Authors: Munhoz Verena Dias Barboza , De Ávila Gustavo Noronha , Pereira Dirceu
Published: November 2024

O presente artigo analisa como a neurotecnologia, uma modalidade de neurociência que é capaz de conectar cérebro e máquina por meio da tecnologia, pode ser utilizada no processo penal enquanto meio de obtenção de provas ao acessar dados neurais e, com isso, afetar diretamente os chamados neurodireitos, que são direitos relacionados com a mente humana, sendo eles, por exemplo, a integridade e privacidade mental. Dessa maneira, como a neurotecnologia retira dados da mente humana, âmbito mais íntimo e privado da personalidade, atinge diretamente direitos da personalidade, direito ao silêncio e direito ao consentimento, protegidos constitucionalmente, o que pode vir a provocar a ilicitude da prova. A técnica da pesquisa é bibliográfica, com o uso de artigos nacionais e internacionais, textos, livros, dissertações, entre outros sobre a temática. Além disso, o método de abordagem é o hipotético-dedutivo, partindo da premissa que provas que violem a vida privada, a intimidade, o consentimento e a liberdade da pessoa humana pode ser consideradas ilícitas, logo, provas obtidas por meio da neurotecnologia, que acessa informações mentais sem limitações, regulamentação ou consentimento do acusado, poderiam vir a ser consideradas ilícitas, pois confrontariam a própria Constituição Federal de 1988 e direitos básicos, sendo que essa também é a principal hipótese formulada. Por meio disso, a problemática se trata da (i)legalidade e ilicitude de provas e os direitos personalíssimos do investigado no momento da produção probatória penal com o uso da neurotecnologia para acessar dados neurais.
Applying radiomics in computed tomography data analysis to predict sarcopenia
Authors:   St. Petersburg State University, Schmidt Ian A. , Kotina Elena D. ,   St. Petersburg State University
Published: November 2024

This article presents an algorithm implementing a radiomics approach to processing computed tomography (CT) data for diagnosing sarcopenia. The proposed method includes region of interest extraction, automatic muscle segmentation using deep learning models, extraction of radiomic features from CT-images, construction of correlation matrices, and selection of criteria for classification. The results show that the obtained radiomic parameters have a significant correlation with the presence of sarcopenia, allowing the construction of accurate classification models based on machine learning. This approach can significantly improve the diagnosis of sarcopenia, providing reliable non-invasive analysis methods.
The Concepts of Feng (“Traditions”) and Su (“Customs”) in Ancient Chinese Texts of the Han Era (202 BCE — 220 CE)
Authors:   Institute of Oriental Manuscripts of the Russian Academy of Sciences, Klementeva Tatiana V.
Published: November 2024

The concepts of feng 風 (“traditions”) and su 俗 (“customs”) played an important role in the political discourse of Ancient China from the Zhanguo period 戰國 (the Warring States, 5th–3rd cent. BCE). Meaning the heterogeneity and disunity in the habits of people belonging to different geographical regions or time periods, feng and su were the objects of observation and transformation by the government, which sought to unite its territories. Since the Han era 漢 (202 BCE — 220 CE) the collocation feng su has begun to be regularly and actively used in ancient Chinese texts, being the subject of discussion in various treatises and imperial decrees. This article examines the semantics of feng and su that developed under Zhou 周 (11th–3rd cent. BCE), proposes an explanation for the difference between them as an external and internal causation of human behavior. Based on the Han texts, the officials involved in the regulation of feng and su were identified, and it was found that most of them also served the emperor with advice and criticism. As a result of the analysis, the idea was also put forward that the frequency of using the collocation feng su in the texts increased as the country approached the time of crisis.
A Pesquisa-Ação em Áreas Protegidas da Baixada Fluminense – Estado do Rio de Janeiro – Brasil
Authors: Vargas Karine Bueno , Queiroz Edileuza Dias de
Published: November 2024

Nos últimos anos, as Unidades de Conservação (UCs) da Baixada Fluminense, Estado do Rio de Janeiro, têm se destacado por suas iniciativas integrativas com a Universidade Federal Rural do Rio de Janeiro, apresentando inúmeras potencialidades como espaços educadores, fortalecendo a tríade ensino, pesquisa e extensão. O objetivo deste artigo é apresentar como a pesquisa-ação está sendo aplicada em UCs da Baixada Fluminense, por meio de programas e projetos de extensão como “Guarda Compartilhada Flona Mário Xavier”; “Mapas participativos e colaborativos: Estratégias para extensão e divulgação científica”; “Universidade na Comunidade” e “Cartografias das Potencialidades das Unidades de Conservação”. Estes projetos envolvem principalmente estudantes voluntários que atuam como monitores ambientais e/ou protagonistas nas propostas, seguindo os princípios da pesquisa-ação, que combina produção de conhecimento, ação educativa e participação dos envolvidos. A pesquisa-ação é utilizada a partir da oferta de educação ambiental para a comunidade (sensibilização), pela visibilidade promovida para as UCs por meio de redes sociais, eventos, pesquisa e outras ações, e capacitação técnico científica de alunos da universidade e servidores das UCs. É verificado que ações de extensão conectam a comunidade ao seu território, promovendo sensibilização sobre a importância da conservação a partir do reconhecimento desses espaços como patrimônios históricos, culturais e ambientais, contribuindo para a gestão ambiental. A capacitação contínua de educadores ambientais é essencial para a conservação e para a implementação efetiva da educação ambiental em áreas protegidas, sobretudo aquelas vulneráveis, fortalecendo a visibilidade e o uso público das UCs de forma sustentável.
Economía conductual en la elección universitaria: Giro hermenéutico
Authors: Nacipucha Nicolas Sumba , Sánchez-Bayón Antonio
Published: November 2024

El modelo económico dominante, de la Síntesis Neoclásica, presupone que los estudiantes eligen la universidad como personas racionales (homo economicus) y con toda la información del mercado, de modo que se toma la mejor elección. Sin embargo, los sesgos cognitivos, percepciones e influencias revelados por la economía conductual reflejan otro escenario y otros resultados. El objetivo de esta investigación es analizar cómo los principios de la economía conductual pueden servir para modular la decisión en la selección de centro universitario. Para ello se ha realizado una revisión sistemática de literatura aplicando la metodología PRISMA 2020. Se encontró que las barreras de información, la percepción de calidad educativa y la reputación de las universidades están presentes en la selección de la institución educativa, pero también lo están las influencias socio-culturales y las intervenciones (nudges) de los centros. Este estudio pone de manifiesto el giro hermenéutico que supone la economía conductual en campos como la economía de la educación.
Analytical Evaluation of the WebSocket and WebTransport Protocols for the Class of SCADA Systems Operating Within the Intranet
Authors: Zvonareva G. A. , Smirnov A. S.
Published: November 2024

The purpose of research. In recent years, web technologies have been actively used in many process control systems, including SCADA. Such systems allow continuous monitoring of the test object in real time. In this regard, there is a need for frequent data transmission for their further display. To solve this problem, network protocols are used, which continue to develop rapidly to this day.

Materials and methods. SCADA systems are used in many industries: aviation, ground transportation, rocket and space technology, systems for receiving and processing telemetry information. Among them, a class of SCADA systems operating within the intranet stands out. This can be an internal network of the enterprise, a hangar or a small test stand for tracking the indexes of measuring equipment. Therefore, today, more than ever, open and publicly available materials are important for understanding modern network solutions that reduce the time spent on data transmission and their further visualization. Such information will be of particular value to students studying network and web technologies.

Results. As a result of the research, taking into account the limitations of the SCADA system and network being developed, the time characteristics for the WebSocket and WebTransport protocols have been determined, and the most optimal solution for a typical load is proposed. In the presented paper, the issues of data transfer between the client and server parts for a class of SCADA systems operating within an intranet are considered. In this regard, it is proposed to consider the two most suitable solutions for this task. These are application layer network protocols of the OSI model: WebSocket and WebTransport. In addition, transport layer protocols (TCP and QUIC) are taken into account, since they can also affect time characteristics. Data transmission issues are considered in the context of the SCADA data display and monitoring system. The server part is developed using C#, and the client is developed using JavaScript. A number of experiments are carried out for boundary cases and typical loads, on the basis of which the dependence of data transmission time on their volume is determined.

Conclusion. The approach given in the paper on collecting network traffic and analyzing time characteristics will also be useful as part of the educational process for teaching students in the courses “Computer Networks” and “Internet Technologies”.
Variable Cluster Analysis of Employment in the Cities of the Russian Federation
Authors: Zalmanov I. A.
Published: November 2024

Purpose of the study. The purpose of the study is to analyze the socio-economic factors of employment in the urban districts of the Russian Federation. Within the framework of the study, a cluster analysis of cities is carried out in two variants: (1) based on factor indexes of employment and (2) using both performance and factor indexes of employment. In both cases, a statistical justification is provided for taking into account the lags of the delayed impact of factor indexes on performance ones. The use of this variable approach in clustering allows us to identify statistically homogeneous groups of cities, respectively, without taking into account and taking into account the individual effects of the factor influence on employment and, on this basis, to justify the indexes of employment regulation in the cities of the Russian Federation.Materials and methods. To achieve this goal, a system of indexes was developed based on the data of municipal statistics provided by the Federal Plan of Statistical Work, including quantitative and qualitative assessments of the level of socio-economic factors of employment. The study conducted a cluster analysis using the hierarchical method (Ward’s method) and the iterative method (k-means).Results. As a result of the cluster analysis, statistically homogeneous subgroups of cities were identified that differ in the level of employment, administrative composition, set and nature of the influence of factor indexes on employment. Based on a comparative analysis of two clustering options, it was proven that identifying significant employment factors at the municipal level (by urban municipalities) is possible with clustering using both performance and factor indexes, as well as taking into account the time lags of their relationship. Clustering of cities only by factor indexes does not provide for taking into account the individual characteristics of interdependence of the studied indexes in cities, which leads to rough statistical estimates and the concealment of latent interrelations, the consideration of which is necessary for regulating employment.Conclusion. The study revealed that statistically homogeneous clusters of cities have specific administrative composition, which predetermines the characteristics of multifactor regression models of employment, the parameters of which are recommended for use in developing measures to regulate employment and the socio-economic development of cities.
Computational Screening of Novel Nitroimidazole Candidates: Targeting Key Enzymes of Oral Anaerobes for Anti-Parasitic Potential
Authors: Lanez Touhami , Lanez Maroua , Lanez Riad , Lanez Elhafnaoui , Talbi-Lanez Badia
Published: November 2024

Background:

The study focuses on evaluating the parasitic potential of novel metronidazole
analogs using computational methods. Specifically, it aims to target key enzymes of oral anaerobes,
including UDP-N-acetylglucosamine 1-carboxyvinyltransferase (MurA) of Fusobacterium nucleatum
and DNA topoisomerase (Topo) of Prevotella intermedia.

Objective:

The objective is to assess the pharmacokinetic and toxicity properties of 368 novel nitroimidazole
candidates through virtual screening. Additionally, the study aims to determine the binding
affinity of the most promising candidates with the target proteins through molecular docking
analyses.

Methods:

A combinatorial library of nitroimidazole candidates was constructed, and virtual screening
was performed. Molecular docking analyses were conducted to evaluate the binding affinity of selected
compounds with MurA and Topo. Further investigation involved molecular dynamic simulation
to assess the stability of the compounds within the active sites of MurA and Topo.

Results:

All selected compounds exhibited activity against both MurA and Topo. Among them,
Mnz11, Mnz12, and Mnz15 demonstrated the lowest binding free energies and IC50 values. Molecular
dynamic simulation indicated that these three compounds remained stable within the active sites
of MurA and Topo, with RMSD values consistently below 2Å. Additionally, the antibacterial potential
of the most potent compound, Mnz15, was evaluated against a series of oral microbes.

Conclusion:

The study concludes that the newly identified nitroimidazole candidates show promise
as anti-parasitic agents, based on their activity against key enzymes of oral anaerobes and their pharmacokinetic
properties evaluated through computational methods.
Decoding Glycobiomarkers in Non-Alcoholic Steatohepatitis (NASH) and Related Hepatocellular Carcinoma (HCC)
Authors: Bansal Savita , Burman Archana , Sen Aparajita , Vachher Meenakshi
Published: November 2024

The incidence of Hepatocellular carcinoma (HCC) is rising at an alarming rate. It is
now the third leading cause of cancer deaths worldwide. Non-alcoholic fatty liver disease
(NAFLD) and its more aggressive form of non-alcoholic steatohepatitis (NASH) are emerging as
significant risk factors for liver cirrhosis and HCC. Post-translational modifications in proteins especially
glycosylation leading to the synthesis of glycoproteins have been implicated in carcinogenesis.
Dysregulated glycoproteins and aberrant glycosylation patterns might contribute to the
establishment of a protumorogenic environment in NAFLD/NASH patients leading to the establishment
of hepatocarcinogenesis. Understanding the molecular mechanisms underlying the
changes in glycosylation patterns of certain proteins would help in deciphering the role of glycoproteins
in liver cancer and develop novel prognostic and diagnostic markers and therapeutic
strategies for the successful treatment of HCC. Herein we discuss some important glycoproteins
and altered glycosylation patterns that can be employed as biomarkers for the early detection of
HCC in NASH and NAFLD patients.
Efficacy and Safety of a Unani Pharmacopeial Powder Formulation and Sharbat Banafsha in Women with Uncomplicated Urinary Tract Infection:
A Pilot Self-Control Clinical Trial
Authors: Sultana Arshiya , Rahman Khaleequr , Khaleeq khadija
Published: November 2024

Background:

Antimicrobial resistance is a growing global concern, highlighting the
urgent need for effective non-antibiotic alternatives to treat urinary tract infections. Effortlessly
blending traditional Unani knowledge with modern scientific evaluation, this study highlights
the potential of Unani formulations in managing uncomplicated UTIs. This study's findings underscore
the importance of exploring and bridging the gap between Unani medicine and evidence-
based practices. This study investigates the efficacy and safety of an Unani Pharmacopeial
powder formulation and Sharbat Banafsha in treating women with uncomplicated urinary
tract infections (UTI).

Materials and Methods:

The pre and post-test pilot self-control clinical study involved 13 participants
with uUTI who received 3.5 g powder Unani formulation comprising Lagenaria
siceraria (Molina) Standl, Malva sylvestris L., Cucumis sativus L. and Cucumis melo L., Portulaca
oleracea L., and Adiantum capillus L. with Sharbat Banafsha (syrup of Viola odorata L.)
25 ml twice daily for 8 days. The primary outcomes were assessed using the urinary tract infection
symptoms assessment (UTISA) questionnaire, while secondary outcomes included urine
culture and sensitivity, as well as health-related quality of life (HRQoL) assessment using the
SF-12 health survey. The data was analyzed, and p<0.05 was considered significant.

Results:

The UTISA total score from 15.69±2.18 was reduced to 4.00±5.07 on day 9 with a significance
difference(p<0.001). On day 14, 84.61% of the population had negative cultures. The
total SF-12, PCS, and MCS scores showed significant differences from Day 0 to 60 (p>0.05).
No adverse effects were reported in both groups. HPLC analysis confirmed the presence of the
plant metabolite luteolin in both the powder and syrup.

Conclusion:

The data explores the effectiveness of Unani formulations for bacterial urinary
tract infections (UTI), showing no adverse effects while also improving the HRQoL of women.
These herbal products contain luteolin, a bioactive molecule with antimicrobial properties.

Clinical Trial Registration Number:

CTRI/2020/02/023404 dated 17/02/2020.
Network Pharmacology Analysis to Explore the Pharmacological Mechanism of Cang Er Zi Powder Against Allergic Rhinitis
Authors: Cui Qisheng , Liu Ping , He Huifang , Chen Cuiyin , Hou Xuemin , Xie Tao , Chen Weijie
Published: November 2024

Background:

Allergic rhinitis (AR) is a leading public health problem with high prevalence,
but the therapies remain limited. Cang Er Zi Powder (CEZP), a Traditional Chinese
Medicine formula, has been used for the clinical treatment of chronic rhinitis and allergic rhinitis
in China for decades. However, the underlying mechanism is unclear.

Objective:

In this study, we aimed to clarify the pharmacological mechanism of CEZP on allergic
rhinitis

Methods:

The active ingredients of CEZP were screened in the TCMSP
(http://tcmspw.com/tcmsp.php) database. The targets related to “allergic rhinitis” were retrieved
from MALACARDS, TTD, and DisGeNET disease target databases. The active ingredients and
the candidate targets for AR were constructed and visualized using Cytoscape 3.7.2 software. The
underlying mechanism involved in the treatment of CP against AR was analyzed using the WEB-
based GEne SeT AnaLysis Toolkit. The effects of CEZP on levels of β-hexosaminidase, histamine,
interleukin (IL)-4, and tumor necrosis factor (TNF)-α on DNP-IgE/HSA-stimulated rat basophilic
leukemia cells were determined by enzyme-linked immunosorbent assay (ELISA) kits.

Results:

A total of 78 active ingredients in 9 Chinese herbs of CEZP and 90 target overlap targets
from CEZP and AR were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and
Genomes (KEGG) enrichment analysis suggested that the inflammation response and NF-κB signaling
pathway were responsible for the therapeutic targets of CEZP on AR, and CEZP could suppress
mast cell degranulation via Toll-like receptor (TLR) and NF-κb signaling pathway.

Conclusion:

Network pharmacology analysis and in vitro assays suggested that CEZP may exert
therapeutic effects on AR by inhibiting the NF-κB signaling pathways.
Discussion of “Thermal conductivity of porous building materials: An exploration of new challenges in fractal modelling solutions”
Authors: Janssen Hans
Published: November 2024

In November 2023 this journal published “Thermal conductivity of porous building ma­terials: An exploration of new challenges in fractal modelling solutions”.  That paper gauges four fractal building materials’ thermal conductivity models, concluding that fractal-geometry-based approa­ches appear “a promising method” as they “demonstra­te high reliability in repro­ducing experimental data”.  This discussion of the pa­per aims to shine a different light on the potential of fractal thermal conductivity models.  It shows that good agreement with experimental data usually ori­ginates from calibration of various “physical” factors comprised in these models, with the fitted numbers commonly deviating from physical rea­lity.  Moreover, exemplary instances reveal that good agreement with experimental data is obtained des­pite misinterpretation of measured outcomes or critical defects in model development, or, exceptio­nally, due to fabrication of validation information.  This discussion does hence not share the pa­per’s positive opinion on the prospects of fractal-geometry-ba­sed ther­­mal conductivity models, and advises caution instead.
Enhancing traffic flow and congestion management in smart cities utilizing SVM-based linear regression approach
Authors:   Department of Computer Science, National College of Business Administration and Economics, Rahim Yar Khan, Pakistan, Naveed Shahzada Atif , Farooq Umer ,   Department of Computer Science, Lahore Garrison University, Lahore, Pakistan, Raza Muhammad Asan ,   Department of Information Sciences, University of Education, Lahore, Pakistan, Rehman Zia Ur ,   Department of Computer Science, Government College University, Lahore, Pakistan, Saleem Muhammad ,   School of Computer Science, Minhaj University Lahore, Lahore, Pakistan, Ghazal Taher M. ,   Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia,   Applied Science Research Center, Applied Science Private University, Amman, Jordan
Published: November 2024

With the development of smart cities, it is essential to monitor traffic flow and manage congestion effectively to ensure smooth movement for people and address their social and economic needs. As these needs continue to change, roadside infrastructure faces challenges in meeting the demands of citizens in smart cities. Traffic congestion is a major issue in road networks and occurs when the number of vehicles exceeds the capacity of the roads. Emerging technologies like Vehicular Networks (VN) and Support Vector Machine (SVM)-based linear regression offer promising solutions for vehicle-to-vehicle communication and managing autonomous roadside infrastructure. SVM-based linear regression is a well-known and effective method for addressing various issues related to roadside infrastructure, traffic management, data integration, analytics, and environmental monitoring. The main goal of using SVM-based linear regression in this research is to help citizens and city authorities make informed decisions and better understand and control traffic. This study demonstrates the application of SVM-based linear regression in integrating autonomous roadside infrastructure, achieving a high accuracy rate of 92% and reducing errors by 8%, showing a notable improvement compared to previous methods.
Can asking questions relieve emotional disorders?: Four-week field study on the effect of digital phenotypes on adolescent emotional disorders (Preprint)
Authors: Cho Minseo , Park Doeun , Choo Myounglee , Han Doug Hyun , Kim Jinwoo
Published: November 2024

BACKGROUND

Adolescence is the period with the highest incidence of mental disorders, half of which begin before age 18. Mental health issues during this stage of life can have extended effects into adulthood, highlighting the need for proactive interventions. Advances in technology have introduced digital phenotypes as a way to diagnose and treatment of emotional disorders early. Despite their potential, concerns have been raised about the technical limitations of passive digital phenotypes and the limited uses of active digital phenotypes. Moreover, the effect of data collection on managing emotional disorders remains unexplored.

OBJECTIVE

This study developed a service that collects and tracks digital phenotypes related to the emotions and daily lives of adolescents and determined whether it positively affected emotional disorder management through self-monitoring. Additionally, this study identified everyday life indicators that can be used to predict and track the development of emotional disorders.

METHODS

A four-week parallel, non-equivalent control group design was employed. The intervention group was instructed to install a digital phenotype collection service on their mobile devices for 28 days. The control group was not required to engage in any specific task. Both groups were assessed at multiple points for emotional disorders, namely depression, anxiety, and stress; self-efficacy; and time management abilities. Following the intervention, the intervention group participated in semi-structured interviews to discuss their experiences.

RESULTS

Total of 36 adolescents participated in the study. The digital phenotype collection system significantly reduced adolescents’ depression (P = .044) and stress (P = .034) and significantly increased their self-efficacy (P = .002) and time management abilities (P < .001). However, it did not result in significant changes in anxiety levels (P = .113). The correlational analysis revealed weak but statistically significant relationships between passive digital phenotypes and daily levels of depression, anxiety, and stress.

CONCLUSIONS

The findings suggest that the digital phenotype collection service can be used to understand and manage emotional disorders in adolescents. This study was empirically significant because it showed that the service positively affected depression, stress, self-efficacy, and time management, all of which are crucial aspects of adolescent life. Furthermore, the study’s high level of participant adherence, despite the extensive engagement required, underscores the potential for using digital phenotyping in adolescent mental health care. The study contributes to a growing body of evidence supporting the use of digital phenotyping as a means of diagnosing and managing emotional disorders in adolescents.
Readability of Online Patient Educational Materials for Rosacea (Preprint)
Authors: Nguyen Derek , Javaheri Jennifer , Nguyen Daniel , Han Vy
Published: November 2024

UNSTRUCTURED

This study assesses the readability of online patient resources related to the treatment of rosacea, comparing MD authors to non-MD authors. The results reveal that the material exceeds recommended reading levels, with MD-authored articles demanding higher literacy skills than those written by non-MD authors.
Genetic, Epidemiological and Clinical Risk Factors in Perinatal Anxiety and Depression: Protocol for a Two-point Prospective Observational Study (Preprint)
Authors: Tambawala Zenab Yusuf , Khan Nusrat , Saquib Shabnam , Lakshmanan Jeyaseelan , Atiomo William
Published: November 2024

BACKGROUND

Perinatal anxiety and depression can significantly impact maternal well-being, infant development, and mother-child bonding. There is a relative lack of research that investigates the overall burden and risk factors of perinatal and postpartum depression and anxiety in the Middle Eastern region.

OBJECTIVE

To investigate the Genetic, Epidemiological, and Clinical risk factors of anxiety and depression in antenatal and postnatal mothers.

METHODS

Two-point cross-sectional observational study of pregnant women to be seen at a tertiary care hospital in Dubai, United Arab Emirates to evaluate point prevalence of depression and anxiety with the Edinburgh Postnatal Depression Scale, Generalized Anxiety Disorder-7 scale and Rahe's stress index and analyse the risk factors in affected and unaffected women. The patients with severe depression and anxiety will be evaluated by genomic testing to identify rare disease causal variants.

RESULTS

Prevalence of depression, anxiety, stress and risk factors will be noted in the antenatal and postnatal period. The association of genetic, social, and demographic risk factors with depression and anxiety will also be evaluated.

CONCLUSIONS

This research aims to identify genetic variants associated with perinatal anxiety and depression in Middle Eastern women and to develop a comprehensive risk assessment tool for identifying women at high risk for perinatal anxiety and depression.

CLINICALTRIAL

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Object Detection Based on You Look Only Once Version 8 for Real-Time Applications
Authors: Santiago Gede Agus , Sugiartawan Putu , Ardriani Ni Nengah Dita
Published: November 2024

This research focus to involves human detection in crowded situations, especially in the lecturer's room. The lecturer's room is very vulnerable because it can be accessed by anyone with only one entry and exit to the lecturer's room, so it would be perfect to place this Yolo camera in front of the lecturer's room so that incoming and outgoing activities can be monitored during work days on campus. The main challenge is how the system can distinguish individuals in dense crowds and identify their relative locations to each other. In this context, it is necessary to find a solution that can overcome the uncertainty of recognizing individuals in a group and accurately understand the location and distance between them. One proposed solution is to use the YOLO algorithm on video recordings to detect human objects in the lecturer's room during working hours. This research introduces the YOLOv8 model, a real-time detection system with high speed and accuracy in detecting and classifying objects in video recordings. YOLOv8 can accurately detect object movement, making it an efficient real-time framework for dealing with complex objects. This research experiment involved using eight different smartphone devices to collect datasets. Using various smartphone devices aims to test object detection performance under various shooting conditions, including variations in image quality, lighting, shooting angle, and camera resolution. The research results show that using multiple smartphone devices in dataset collection can improve the robustness and accuracy of object detection models. By integrating datasets from various sources and shooting conditions, the YOLOv8 model was successfully trained to better recognize objects in different situations, even in campus environments that often have challenges such as weather variations and lighting fluctuations. The test results show an accuracy rate of 93.33% in human object detection
Optimizing Coral Fish Detection: Faster R-CNN, SSD MobileNet, YOLOv5 Comparison
Authors: Santoso Syifa Afnani , Jaya Indra , Priandana Karlisa
Published: November 2024

This study underscores the critical role of accurate Chaetodontidae fish abundance observations, particularly in assessing coral reef health. By integrating deep learning algorithms (Faster R-CNN, SSD-MobileNet, and YOLOv5) into Autonomous Underwater Vehicles (AUVs), the research aims to expedite fish identification in aquatic environments. Evaluating the algorithms, YOLOv5 emerges with the highest accuracy, followed by Faster R-CNN and SSD-MobileNet. Despite this, SSD-MobileNet showcases superior computational speed with a mean average precision (mAP) of around 92.21% and a framerate of about 1.24 fps. Furthermore, employing the Coral USB Accelerator enhances computational speed on the Raspberry Pi 4, enabling real-time detection capabilities. This study incorporates centroid tracking, facilitating accurate counting by assigning unique IDs to identified objects per class. Ultimately, the real-time implementation of the system achieves 87.18% accuracy and 87.54% precision at 30 fps, empowering AUVs to conduct real-time fish detection and tracking, thereby significantly contributing to underwater research and conservation efforts.
Gaussian Blur Filter Effect Analysis on Facial Detection Accuracy Using Viola Jones Method
Authors: Saryanto Saryanto , Andriyani Widyastuti
Published: November 2024

Human face detection is one of the most studied topics in computer vision. The purpose of facial detection is to find out whether or not a face is present in an image. Blur can be caused by many things, such as motion that occurs when the camera takes a picture or the use of a camera that is not focused when taking a picture. For facial recognition, blur becomes difficult to get information about an object, get a description about it, or identify a face in the image. The more blur a picture, the more difficult it is to identify it. This research applies the Viola-Jones relative method for facial detection with a high degree of accuracy and fast computation. This study analyzed the influence of a gaussian blur filter by calculating how much radius an object has been given a gausian blur filter so that it can no longer be identified as an object, and also looking for the minimum PSNR value that is still acceptable in the object detection process. The minimum PSNR value for the image is 16.6 dB, and the minimum PSR value before the face can no longer be detected is 17.84 dB.
Transformation of State Civil Apparatus Learning Task Administration Services through the J-SiLAKON Application
Authors: Fu’adah Washiqotul , Hidayat Rofiq
Published: November 2024

The emergence of the Covid-19  pandemic and the progress of industry 4.0. The developments encourage the government to digitize public administration services. The Jember Regency Personnel and Human Resources Development Agency (BKSDM) therefore launched a web-based application named J-SiLAKON (Jember Online Personnel Services System) for study assignments to increase effectiveness and efficiency in providing services, and to encourage good governance. This research examines the effectiveness of the transformation of ASN learning task administration services through J-SiLAKON at the Jember Regency Education Office. By Using a qualitative case study approach, data were collected through semi-structured interviews, passive observation, and primary documentation involving J-SiLAKON operators and staff from the Teachers and Education Personnel Division. The analysis of data involved condensation, presentation, and conclusion drawing, with triangulation to ensure data validity. Results showed that J-SiLAKON is easy to learn, control, understand, and use, thus improving users' proficiency in performing their duties. It provided significant benefits, including faster work, improved employee performance, increased productivity, and more effective administrative services. Overall, the J-SiLAKON application improves the efficiency, productivity and transparency of ASN study assignment administration services at the Education Office, meeting user expectations and improving the performance of the Education office.
Digital Transformation Through E-Master Application in Human Resource Development in Civil Servants
Authors: Fitriani Kharisma , Hidayat Rofiq
Published: November 2024

The use of technology has become a crucial aspect in the progress and development of Human Resources (HR). HR management includes various aspects such as planning, organizing, compensation, and maintaining work relationships to achieve individual, organizational, and societal goals. Research in education has a significant impact on youth empowerment, a critical stage in human development. This study aims to describe motivation, personality, and skills in HR Development Management at the East Java Provincial Education Office Branch. Using a qualitative approach, this research understands HR development in depth through the "e-Master" application. The informants consisted of e-master application managers, personnel managers, and e-master application users. Data was collected through semi-structured interviews, primary documentation from direct observation, and non-participant observation. Data analysis was carried out using techniques of reduction, presentation, and drawing conclusions, with the validity of the data strengthened through triangulation of techniques and sources. It is hoped that the research results can improve the quality of human resources at the educational level, bringing a positive impact in empowering the workforce in education for a better future.
Under the Perspective of the Integration of Industry and Education, Improving College Students’ Career Maturity: The Mediating Effect of Career Decision-Making Self-Efficacy
Authors: Lai Yuege , Cheng Jun , Weng Qinya , Wang Jingcheng , Du Baiyan
Published: November 2024

This study explores the impact of career activity participation satisfaction and teacher support on college students’ career maturity, verifies the mediating role of career decision-making self-efficacy therein, and finally proposes strategies for improving college students’ career maturity from the perspective of the integration of industry and education. To this end, a total of 300 college students’ questionnaire survey results were analyzed. The results show that both career activity participation satisfaction and teacher support have significant positive effects on career decision-making self-efficacy and career maturity. Among them, the direct influence of teacher support on career maturity is better than that of career activity participation satisfaction. In addition, career decision-making self-efficacy mediates the relationships between career activity participation satisfaction and career maturity, and between teacher support and career maturity, having a partial mediating effect. This indicates that in the process of improving college students’ career maturity, it is necessary to focus on increasing college students’ career practice opportunities, establishing a sound integration mechanism of industry and education, and paying attention to teachers’ career guidance and support to enhance students’ career decision-making self-efficacy, thereby ultimately promoting students’ mature career awareness.
SÍNDROME DE BURNOUT: Um estudo com policiais militares
Authors: Viana Bruna Gabrielle Gomes , Vieira Kay Francis Leal
Published: November 2024

The activity of the military police officer can cause harm to the subject's mental and physical health, in addition to resulting in Burnout Syndrome. This syndrome is related to the suffering and mental exhaustion of workers, generating a major impact on their health and performance of their work activities. Therefore, the present study was carried out with military police officers from the Special Tactical Actions Group (GATE) of João Pessoa and Campina Grande – PB and its general objective was to analyze the presence of Burnout Syndrome in this population. The sample included 46 participants and the methodological approach refers to field research, with an exploratory-descriptive nature and a quantitative approach. Data were collected based on 2 instruments, a sociodemographic questionnaire and the Maslach Burnout Inventory (MBI). Furthermore, through the results obtained, it was possible to verify that all research participants were male. And even though 72.3% of the police officers were located at some stage of the syndrome, especially in the initial phase, with a total of 62.1% of the participants. Therefore, the importance of implementing preventive measures and mental health support strategies to address Burnout syndrome among police officers is understood.