bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistema de identificación de enfermedades cardiacas basado en ecografía e inteligencia artificial
Authors: Maesa Jose María , Isabel-Gomez Rebeca
Published: November 2024

Introducción / justificación: Se han identificado cuatro sistemas de IA que funcionan como asistentes en la adquisición de imágenes en ecocardiografía transtorácica: CaptionHealth, Real-Time EF, LVivo Seamless y TRIO IA. Estos sistemas son capaces de ayudar en la obtención de imágenes con valor diagnóstico sin necesidad de un técnico experto. Además, calculan, a partir de estas imágenes, el valor de la fracción de eyección del ventrículo izquierdo. Esta prueba de imagen y este parámetro son esenciales en el diagnóstico y seguimiento de un buen número de enfermedades cardiacas. Objetivo: Los objetivos específicos de esta revisión se centraron en la identificación de sistemas de IA que funcionen como software de apoyo para usuarios no expertos para realizar estudios ecocardiográficos y adquirir planos apicales de calidad y calcular la FEVI a partir de ellos, así como encontrar estudios que evaluaran estos sistemas comparándolos con los métodos habituales. Metodología: Se buscó en las bases de datos referenciales Tripdatabase, ECRI, Dimensions, Medline, Embase y Web of Science (hasta febrero de 2024), así como en el registro de ensayos clínicos ClinicalTrials.gov y la Red Internacional de Agencias de Evaluación de Tecnologías. También se revisó manualmente diversos sitios WEB relacionados con el tema. Se seleccionaron los estudios en los que se evaluara la eficacia diagnóstica de los sistemas expertos basados en IA en la obtención de imágenes ecocardiográficas-2D y el cálculo de FEVI en comparación con los métodos estándar. Resultados: Se han identificado cinco estudios primarios prospectivos transversales de validación clínica de cuatro sistemas basados en IA: CaptionHealth, Real-Time EF, LVivo Seamless y TRIO IA. Estos estudios establecen una comparación entre estos sistemas de IA utilizados por personal no experto, y el mismo tipo de estudio realizado por expertos ecocardiografistas o cardiólogos. En estos estudios no se mencionan problemas de seguridad y determinan la existencia de concordancia entre la FEVI determinada por los cuatro sistemas de IA y las obtenidas manualmente por el método de referencia, sin identificarse ningún error sistemático. También se determina la validez diagnóstica de AI TRIO en la insuficiencia cardiaca (FEVI < 50%), con AUC de 0,85 y de Real-Time EF en la disfunción sistólica, con una sensibilidad de 73% y especificidad de 98%. En general, los estudios incluidos presentan debilidades, tanto riesgos de sesgo, como un número de pacientes incluidos reducido.
Highly Effective Combined Antifungal Therapy with Liposomal Amphotericin B and Isavuconazole in a Severe Case of Breakthrough Disseminated Fusariosis in Acute Lymphoblastic Leukemia
Authors:   Division of Hematology Foundation IRCCS San Matteo Pavia Italy, Claudia Patricia Tobar Cabrera
Published: November 2024

Breakthrough Fusarium infection during antifungal prophylaxis is an emerging problem and a life threatening condition especially in immunocompromised hematological patients thus early identification of infection and appropriate and aggressive antifungal therapy are required
Evaluation of Estrogen Hormone Effects on Neurogenesis Memory and Learning by Golgi Staining Technique in Mice
Authors:   Department of Cellular and Molecular Biology School of Biology Damghan University Damghan Iran, Taghi Ghorbanian Mohammad
Published: November 2024

Many neural and behavioral functions are affected by estrogens including mood cognitive function and learning The hippocampus is one of the areas of the brain whose function is related to cognition memory and learning and is involved in Alzheimers disease
Numerical Simulation of Subfields in a Multi-Tower Concentrated Solar Field
Authors: Hussaini Zaharaddeen Ali , Sansom Chris , King Peter , Karim Mounia
Published: November 2024

The research introduces an innovative approach to enhancing the efficiency of Multi-tower Concentrated Solar Power (CSP) through a configuration termed Auxiliary Tower with Subfield (ATS). ATS introduces an auxiliary tower and creates a subfield by adding heliostats near its position, aiming to optimize the solar field's optical efficiency and offer modular decentralized power output. ATS configuration employs existing field configurations to pinpoint inefficiencies where an additional tower can be installed, and heliostats are systematically added to the subfields through numerical optimization using various design variables. Although the inclusion of a subfield in the ATS configuration enhances energy output, it does not always offset the additional costs of the auxiliary tower, receiver, and extra heliostats, in small fields. However, when applied to larger fields, starting from 200MWth, ATS begins to provide a lower Levelized Cost of Heat (LCOH) compared to optimized conventional thermal fields, demonstrating its potential applicability and efficiency in larger-scale CSP setups. Applying ATS to a 120 MWth Gemasolar-like plant further confirms its advantages, with 160 MWth emerging as the optimal enhancement point that boosted efficiency while lowering LCOH. ATS shows promise as an efficient, modular approach to scaling up power tower system.
An Automated Risk Assessment Based on GPT and RAG for Small and Medium-Sized Construction Sites
Authors:   Korea Safety Culture Society, Qian Ya Ru , Yu Jung Ho , Lee Seul Ki
Published: November 2024

The construction industry faces frequent safety accidents due to its complex production structure and variable site conditions, with small and medium-sized construction sites being particularly vulnerable. To address these challenges, risk assessment plays a critical role in identifying hazardous factors in advance and establishing countermeasures. However, current risk assessments rely heavily on the subjective judgment and experience of safety managers, which poses limitations, especially in sites lacking specialized personnel. This study aims to propose a more efficient risk assessment method by overcoming the limitations of large-scale generative language models. By applying Retrieval Augmented Generation (RAG; retrieval augmented generation), which provides relevant documents to the model to generate more accurate answers, we enhanced the performance of the GPT model in deriving specific and expert-level safety measures. The experimental results showed that the RAG approach allowed for the effective identification of hazardous factors tailored to the task characteristics and generated more concrete safety countermeasures compared to using GPT alone. Based on these findings, the development of an automated risk assessment system for small and medium-sized construction sites could reduce reliance on professional safety managers and enable more efficient and systematic safety management.
A Study on the Development of Metaverse Early Childhood Safety Education Activities of Pre-primary Early Childhood Teachers Using Capstone Design
Authors:   Korea Safety Culture Society, Bang Hyo Kook
Published: November 2024

The purpose of this study is to find out the activity process, results, and changes in pre-primary teachers through metaverse early childhood safety education activities using capstone design for pre-primary teachers. Accordingly, the research method was conducted in Gyeonggi-do Province, and the method of collective infants in Gyeonggi-do Province, and conducted to learn the changes in the development of the research and conducted by utilizing capstone design. The collected data were derived through emic coding and structured coding. The results of research is as follows. Using capstone design, the meta bus infant safety education activities, and it was composed similar to actual kindergarten designated as the actual attraction of participants. Education contents were centered on the 7th standard safety education was centered on the 7th of the school safety education. In addition, pre-primary teachers changed from 'difficulty' and 'curious' before their activities to 'achievement' and 'efficacy' after their activities. Summarizes the conclusion of this study, pre-primary using capstone design and collaboration activities using capstone design, problem solving significant changes in digital, communication and collaboration. The results of this study expects that it will be used as a reference data for pre-primary teachers in the future of infant safety education activities.
Effect of flipped learning on Metacognition, Learning Transfer Motivation and Major Commitment of Nursing College Students
Authors:   Korea Safety Culture Society, Lee Oi Sun , Gu Hye Ja
Published: November 2024

This study was attempted to determine the effect of flipped learning on nursing students' metacognition, learning transfer motivation and major commitment. This is a single-group pre- and post-experimental design study. This study was conducted on 40 3rd-grade students who took adult nursing courses enrolled in the nursing department of one university located in G gun. The data were collected from August 29 to October 21, 2022, using a self-report questionnaire before and after flipped learning. For data analysis, using SPSS/WIN 23.0 program, metacognition, learning transfer motivation and major commitment of nursing students were analyzed with the mean and standard deviation, and differences in metacognition and learning transfer motivation before and after flipped learning were analyzed using t-test. Major commitment before and after flipped learning were analyzed mann whitney U test. As a result of the study, metacognition averaged 4.11±0.54 points before education and 4.33±0.50 points after education, and learning transfer motivation averaged 4.07±0.58 points before education and 4.26±0.56 points after education. Major commitment averaged 4.17±0.65 points before education and 4.20±0.62 points after education. This study confirmed that flipped learning is a metacognition(t=-3.22, p=.003), and learning transfer motivation (t=-2.16, p=.037) were significantly increased. Major commitment increased but was not statistically significant (Z=-0.29, p=.774). In conclusion, It was confirmed that flipped learning is an effective educational program that improves nursing students' metacognition and learning transfer motivation. Future studies should focus on developing and verifying the effectiveness of flipped learning in improving major commitment.
因為罕見所以跨界—以跨專業團隊合作發展戲劇治療在遺傳性表皮分解性水皰症青少年之行動探究
Authors: 張志豪 張志豪 , 李貽峻 李貽峻
Published: November 2024

本研究旨在透過工作者之觀點探討戲劇治療運用於遺傳性表皮分解性水皰症（本文簡稱泡泡龍）青少年成員之團體方案實踐經驗。採行動研究，結合「行動」與「研究」，歸納整理2022年戲劇治療工作者於臺灣嚴重特殊傳染性肺炎（COVID-19）第二級疫情警戒下，針對七名成員進行住宿式戲劇治療團體方案，並透過訪談六位工作者，探索疫情期間戲劇治療運用於泡泡龍成員之行動方案設計、執行歷程，及戲劇治療所展現之能動性為何。本研究結果發現：（一）以實體結合線上的戲劇治療團體，讓成員能衡量自我身心狀態，提升參與的意願與可能性，且能營造兼具「治療深度」與鏈結「人際廣度」的平台，達到成員彼此間情感的支持與共鳴。（二）帶領者彈性調度、使用、創造活動空間與內容，以因應環境的不確定因素，能拓展成員被侷限的生活經驗。（三）行動方案以「過年」為主軸，營造過渡性的空間使成員能安頓身心，梳理生命故事。（四）自傳劇的創作與展演，使成員從被公共觀看的經驗中找到生活的意義感，而透過觀眾的回應可以讓觀演雙方建立非單一病理觀點，從而找到認識與理解的新視角。（五）行動前的核心價值帶來動能、行動中的工作彈性創造團體效能、行動後找回初衷的反思創造出再行動的反映。依據本研究結果可提供未來戲劇治療運用於罕見疾病泡泡龍成員之研究與實務應用之參考。

The purpose of this study is to investigate the experience of using drama therapy in group programs for members with hereditary epidermolysis bullosa (EB) through practitioners’ perspectives.

This study used qualitative action research as the analytic method. Through semi-structured interviews with six drama therapy practitioners, the study explored the design of the action plan, the implementation process, and the therapeutic factors of drama therapy in serving EB members during the covid-19 epidemic. The findings of this study revealed that: (1) The "physical" combined with "online" group approach can enhance the members’ willingness and possibility to assess their physical and mental state and participate in the group. (2) By combining "physical" and "online" group approaches, we can create a platform that combines "therapeutic depth" and "interpersonal breadth" to achieve emotional support and empathy. (3) During the epidemic, workers flexibly allocate, use, and create activity space and content to expand the limited life experiences of members. (4) The action plan uses "Chinese New Year" as a metaphor to create a transitional space for members to settle down and to organize their life stories through theater activities. (5) The creation and performance of the autobiographical drama allows members to express their repressed emotions and thoughts to find a sense of meaning in their lives, and also allows the audience to build an understanding and appreciation of the non-single pathological perspective of EB members.
Analisis Perbedaan Preferensi Karir Mahasiswa Akuntansi (Studi Empiris pada Mahasiswa S1 Akuntansi di Kota Padang)
Authors: Mirza Aisyah Riani , Fitria Sari Vita
Published: November 2024

This study is aimed to determine whether there are differences in accounting students' career preferences before and after being given information about the pros and cons of public accountants and private accountants. This study utilizes Expectancy theory and Herzberg's two factor theory. The study's population consists of undergraduate accounting students in Padang City, and data is collected by a survey distributed directly and via google form to accounting students at six universities in Padang. Hypothesis testing employs non-parametric analysis, namely the McNemar test. The findings of the study indicated a notable distinction in the career choices of accounting students prior to and following the provision of pros and cons information, with a significant value of 0.001. Salary and work-life balance are two aspects that influence students' motivation and expectations while considering a career as a public or private accountant.
RESURGENCE OF INTEREST IN VALUE EDUCATION FOR INCULCATION OF VALUES IN STUDENTS
Authors: Kaur Harmeet , Gaur Prof. (Dr.) Rajnee
Published: November 2024

Values are important as they bring quality to life. They guide human behaviour. Values permeate all aspects of human thought and actions. Values are the guidelines that each society lives by. Without values we cannot visualize a perfect and ideal society. The modern industrialized societies are experiencing the serious erosion of values. Few reasons are breakdown of joint families to nuclear families, single parenting, working mothers, loosening of parental control, role of TV & social media, effect of westernized education, lack of moral and religious education etc. The deterioration of values is creating many serious social and ethical conflicts in society. Life will be chaotic and disastrous in the absence of values. Swami Vivekanand has rightly said, “Excess of knowledge and power, without holiness, makes human beings devils.” Therefore, a coherent and an operationally viable value system should be developed. Man-value-education is a sacred triangle-where education is a vital medium to inculcate, values in students. Education is a subject of prime importance to the country’s progress. Parents and teachers make maximum impact on the personality of a child. Not only the teachers in charge of moral instructions but every teacher whatever subject they teach must necessarily accept their responsibilities for building character of the students. A comprehensive programme of value education is imperative in order to preserve, maintain and advance the position of our country. The entire process of education should centre on values. Several committees and commissions have been formed. They gave a number of suggestions in favour of value education. Values are a lifelong quest and must be inculcated in children at home by the parents, in school by teachers, peer group, media and society at large. The present system of education needs to be focussing on giving value education in its true sense because education without values is a waste of money, energy and time. Education is thus the means to achieve the goals of progress and prosperity.
Pengaruh Media Sosial terhadap Partisipasi Politik Kaum Perempuan dalam Pemilihan Umum Presiden dan Wakil Presiden 2024 di Kab. Solok
Authors: Wahyuni Sri , Adnan M. Fachri
Published: November 2024

Penelitian ini dilakukan berdasarkan peningkatan jumlah penggunaan media sosial dalam konteks politik terutama pada saat pemilihan umum, sehingga media sosial dijadikan sebagai sarana dalam berkampanye baik oleh kandidat, partai politik, tetapi juga oleh para pendukung, simpatisan, dan relawan. Namun dengan begitu Media sosial mengandung sebagian berita yang tidak dapat dipertanggung jawabkan, bahkan beberapa di antaranya adalah hoaks, yang dapat menyebar dengan cepat dan memiliki konsekuensi politik lainnya. Penelitian bertujuan untuk mengetahui pengaruh antara media sosial dengan partisipasi politik kaum perempuan dalam pemilihan Presiden dan wakil Presiden 2024 terutama di kab.solok. Penelitian ini menggunakan metode kuantitatif deskriptif, dan berlokasi di kabupaten Solok. Populasi penelitian adalah kaum Perempuan berusia rentang 17-40 tahun, dengan sampel sejumlah 150 responden, dan dipilih dengan teknik Multistage Random Sampling. Data diperoleh melalui penyebaran angket atau kuisioner, kemudian dianalisis menggunakan statistic deskriptif dan dilakukan uji regresi linear. Hasil penelitian (1) WhatsApp memiliki dampak yang baik dan substansial terhadap keterlibatan politik perempuan pada Pemilu presiden dan wakil presiden tahun 2024 di Kab. Solok, dibuktikan dengan nilai Adjusted R Square sebanyak 53,2%. (2) Instagram memberikan dampak yang baik dan substansial, dibuktikan dengan nilai Adjusted R Square sebesar 61,2%. (3) TikTok memberikan pengaruh yang baik dan substansial, dibuktikan dengan nilai Adjusted R Square yaitu 50,8%. (4) Platform media sosial (WhatsApp, Instagram, dan TikTok) memberikan dampak yang baik dan substansial, dibuktikan dengan nilai Adjusted R Square sebesar 68,6%.
İyidere (Rize) Yöresinde Belirlenen Makromantarlar
Authors: Keleş Ali
Published: November 2024

Bu çalışma, 2015-2016 yılları arasında İyidere (Rize)’den toplanan makromantar örnekleri üzerinde yapılmıştır. Makromantarların morfolojik ve ekolojik özelliklerinin yanı sıra örneklerle ilgili yöre halkından alınan bilgiler de kaydedilmiştir. Arazi ve laboratuvar çalışmaları sonucunda Ascomycota ve Basidiomycota bölümleri içinde yer alan 10 takım, 36 familya ve 62 cins içerisinde dağılım gösteren toplam 100 makromantar türü tespit edilmiştir. Bunların 31’i yenir, 55’i yenmez, 14’ü ise zehirli niteliktedir. Çalışma örnekleri Van Yüzüncü Yıl Üniversitesi, Fen Fakültesi, Biyoloji Bölümü Mikoloji Araştırma Laboratuvarında (VANF) saklanmaktadır
Multimodal Discourse Features in Selected Nigerian Political Cartoons
Authors: Adeagbo Esther Olajumoke , Oyindamola Abiade Ayomide
Published: November 2024

Political cartoons in Nigerian society serve as tools for political commentary and social critique. This research investigates the socio-political impact of visual and linguistic strategies in selected Nigerian political cartoons, addressing a significant gap in the existing literature concerning the role of visual media in political discourse. Despite the prevalent use of political cartoons in Nigerian media, there has been limited scholarly attention to how these cartoons utilise visual and linguistic elements to critique socio-political disputes. This study aims to bridge this gap by employing Kress and van Leeuwen’s Grammar of Visual Design and Roland Barthes’ Semiotic Theory to analyse seven selected political cartoons. The study's primary aim is to explore how these cartoons communicate complex political realities and influence public perception. The objectives include identifying the visual and linguistic strategies used in the cartoons, examining the socio-political issues they address, and evaluating their impact on public discourse. The findings reveal that Nigerian political cartoons employ a sophisticated blend of visual and linguistic strategies to convey powerful socio-political messages. The analysis demonstrates that these cartoons effectively highlight issues such as corruption, economic hardship, political neglect, and the disparity between the ruling elites and the suffering masses. The study also found that these cartoons effectively depict the disparity between the ruling elites and the suffering masses, employing salience, framing, modality, denotation, connotation, and myth to engage and challenge public perception. The research underscores the significance of political cartoons as tools for socio-political engagement and discourse, demonstrating their role in reflecting and shaping public opinion on critical national issues. In conclusion, this study underscores the importance of political cartoons as a medium for socio-political engagement and discourse in Nigeria. It highlights the critical role of visual semiotics in political commentary and the necessity for further research into the impact of visual media on public opinion and political accountability.
Cheapest Way to Europe: Illegal Migration and Women Objectification in African Film
Authors: Ogundipe Stephen Toyin , Ayoade Rachael Fisayo
Published: November 2024

This paper explores the dynamics of irregular migration and the objectification of women in Boris Lojkine’s film Hope, highlighting the increasing prominence of these themes in African films. Through an analysis grounded in Martha Nussbaum’s feminist perspectives on objectification, the article examines how the film director portrays the female body as a commodity. The paper posits that sexual objectification is a gendered phenomenon and that the objectified body is almost always the female body. The findings reveal a gendered survival strategy employed by migrants facing insurmountable challenges in their attempts to leave Africa. It concludes that the commodification of female migrants becomes an unavoidable consequence for those who successfully navigate the dangerous and unlawful routes to Europe.
On Decolonising Artificial Intelligence
Authors: Olojede Helen Titilola , Fadahunsi Ayo
Published: November 2024

Logic and probability as branches of Mathematics and aspects of Philosophy, underlie and play significant roles in the development of Artificial Intelligence (AI). In its simplest form, logic concerns right reasoning (especially one devoid of fallacies), patent truth and inferences. Probability has to do with uncertainties, that is, the likelihood of an event happening. The divide between traditional AI and modern AI regarding what roles logic and probability play in the development of AI has been mitigated with the notion that both are complementary without displacing the other. While the birth of AI as a field is usually linked to the 1956 conference with figures involving Marvin Minsky and John McCarthy, there are traces of what we refer to as robots, automatons and computations which form the foundation of AI in some non-Western philosophies. To this end, this paper chronicles the emergence of AI in non-Western philosophies, especially in African philosophy and then uses the Yoruba's 'ifá' to exemplify the idea of decolonising Al, not forgetting that the basis of ifá itself is logic and, sometimes, probability.
Manejo do hipertireoidismo na gestação: uma revisão de literatura sobre eficácia e segurança das abordagens terapêuticas
Authors: Nunes Kamille Costa , Pionório Julia Lopes , Silva Gisele Maria Nunes , Marques-Santos Celi , Marques-Santos Celi
Published: November 2024

Introdução: O hipertireoidismo durante a gestação é uma condição clínica complexa que pode impactar significativamente a saúde materno-fetal, trazendo riscos tanto para a mãe quanto para o desenvolvimento do bebê. Sua gestão exige um entendimento aprofundado das intervenções terapêuticas disponíveis, assim como suas respectivas implicações para garantir um tratamento seguro e eficaz. Objetivo: Este trabalho tem como objetivo analisar a eficácia e a segurança das abordagens terapêuticas para o manejo do hipertireoidismo na gestação, destacando a importância de um tratamento individualizado e multidisciplinar que considere as particularidades de cada paciente. Método: Foi realizada uma revisão sistemática da literatura, incluindo artigos relevantes publicados entre 2019 e 2024. Os estudos foram analisados para identificar as principais intervenções, suas eficácias, os riscos associados e a experiência clínica sobre o manejo do hipertireoidismo em gestantes. Resultados: A pesquisa revelou que os medicamentos antitireoidianos, especialmente o propiltiouracil e o metimazol, são amplamente utilizados, sendo o propiltiouracil preferido no primeiro trimestre devido a um menor risco de malformações congênitas. A monitorização regular da função tireoidiana foi identificada como crucial para o sucesso do tratamento, reduzindo complicações como parto prematuro e hipertensão gestacional. Além disso, abordagens não farmacológicas, como suporte psicológico e educação materna, mostraram-se efetivas em melhorar a adesão ao tratamento e a saúde mental das gestantes, contribuindo para melhores desfechos. Conclusão: O manejo do hipertireoidismo na gestação requer uma abordagem cuidadosa e individualizada, considerando tanto a eficácia das intervenções quanto a segurança para mãe e feto. A implementação de diretrizes baseadas em evidências, aliada ao trabalho colaborativo entre endocrinologistas e obstetras, é essencial para otimizar os resultados clínicos e promover a saúde materno-fetal, garantindo uma gestação saudável e segura.
Musicoterapia na assistência e no cuidado de enfermagem na unidade de terapia intensiva neonatal
Authors: Nascimento Bruna Rayane Ferreira , Silva Laislle Caroline Nunes da , Bertussi Vanessa Cristina , Saboia Candice Cruvinel , Chagas Beatriz Costa da Silva , Duarte Déborah Correia , Albuquerque Sabryna  Emanuelly Sanguineto de , Paula Júnior Newton Ferreira de
Published: November 2024

A Unidade de Terapia Intensiva Neonatal (UTIN) cuida de recém-nascidos (RNs) criticamente enfermos, com até 28 dias de vida. Os RNs pré-termo (RNPTs) enfrentam riscos de distúrbios cognitivos e estresse auditivo no ambiente hospitalar. A UTIN, equipada com tecnologia avançada e uma equipe transdisciplinar, integra práticas como a musicoterapia ao cuidado de enfermagem, oferecendo benefícios emocionais e fisiológicos que melhoram o bem-estar dos RNs e de suas famílias. Este estudo busca revelar a influência da musicoterapia nos cuidados ao neonato e sua família na UTIN, por meio de uma Revisão Integrativa da Literatura (RIL). A coleta de dados ocorreu em bibliotecas virtuais como BVS e SciELO, além das bases LILACS e MEDLINE, aplicando critérios de inclusão e exclusão e utilizando o termo booleano AND para refinar as buscas. A análise de cinco artigos mostra que a musicoterapia beneficia RNPTs, enfatizando o vínculo mãe-filho e a inclusão da família no tratamento. As publicações resultaram em duas categorias: “A Influência da Musicoterapia como Ferramenta Terapêutica” e “Benefícios do Vínculo entre Mãe-Filho e Profissionais de Saúde". A pesquisa indica que a musicoterapia melhora parâmetros fisiológicos, reduz estresse e fortalece vínculos familiares, demonstrando ser uma intervenção segura e eficaz para recém-nascidos.
The Effects of Big Data Regulations on Industrial Modernization in Resource-Based Cities: A Semi-Natural Study Using a State-Level Big Data Coordination Zone
Authors: Wang Ying
Published: November 2024

As a core component of the digital economy, big data provides resource-based cities with a new impetus for upgrading their industrial structures. This paper employs a double difference method with panel data from 86 resource cities in China from 2009 to 2020 in order to investigate the effects of big data policies on resource cities' upgrading of their industrial structures objectively. Quasi-control groups are the quasi-natural trials of two batches of 19 resource cities in national big data comprehensive experimental zones. The empirical results demonstrate that the nationwide comprehensive experimental zone for big data exerts a considerable influence on the industrial upgrading of resource-based cities. This conclusion remains robust even after putting it through a series of tests, including the consolidation test and the stability test. Ultimately, this study offers a novel approach to catalyzing industrial upgrading in a big data context, shedding light on crucial issues such as economic instability in resource-based cities.
The Cultivation of Competition Ability of Law Students Under the Background of New Liberal Arts
Authors: Zhang Wanchun
Published: November 2024

Law students often face an awkward situation when participating in discipline competitions: the competition of law majors is relatively low level, while the comprehensive competition of higher level is easy to make law students afraid of difficulties. These are also clearly reflected in the literature research of law competition. The background of new liberal arts puts forward higher requirements for the competition ability of law students, and also makes the traditional problems in the competition more obvious. In competition practice, the lack of competition knowledge and ability of law students formed around the baton of China National Judicial Examination is more prominent. What kind of abilities do law students need, and how to improve them? Based on the guiding practice and empirical analysis of the China University Business Elite Challenge of CCPIT, law students should be trained to acquire information ability, writing ability, expression ability and presentation ability. Therefore, multi-level practice and teaching should be driven by the comprehensive competition with the attributes of new liberal arts, schools should strengthen the recognition and reward of the competition, and teachers should pay attention to the transformation of teacher-led research advantages in the competition.
The Influencing Factors of Psychological Causes of Violent Crime
Authors: Hao Yingting
Published: November 2024

Violent crimes not only can cause significant economic losses, but also affect people's mental health. This passage discusses the various psychology factors that form violent crimes in combination with literature. The group of violent criminals usually has cognitive defects, which are manifested in poor judgment, serious distortion of values and morals, and are easily influenced by wrong ideas. In addition, this type of criminals are also generally emotionally unstable, vulnerable to emotional frustration, and often dominated by strong negative emotions such as anger and resentment. Thirdly, in terms of personal quality, the violent criminal group also has defects, that is, the criminals have poor self-regulation and control ability, and are prone to lose control or over-suppress emotions. Finally, from the analysis of personality and personality psychological factors, it is pointed out that violent criminals usually have obvious negative personality traits, such as impulsiveness, lack of responsibility and sympathy, and excessive expansion of self-awareness. These personality defects may be the root cause of their violent means. In general, these different psychological factors interact with each other and jointly influence and form the psychological mechanism of violent crime. This article can provide some support for understanding the causes and prevention of violent crimes.
A Study on the Impact of Talent Introduction Policies on Urban Mobility - A Literature Review
Authors: Si Xiangzhangyi
Published: November 2024

China is currently in a period of profound economic transformation, where the role of human resources in regional economic and social development has become increasingly pivotal. As the economy shifts towards a more innovative and knowledge-intensive model, the demand for high-skilled talent has risen sharply. In response to this trend, local governments have implemented various talent introduction policies aimed at attracting and retaining talent to promote high-quality economic development. This paper reveals the relationship between the implementation of talent acquisition policies and the mobility of high-skilled and low-skilled populations through a literature review of research on talent acquisition policies and population mobility. As an important and widely used regional development policy by local governments, the talent introduction policy has created a strong attraction to the mobility of labor, increasing the talent concentration of labor and knowledge overflow. The above conclusions are useful for the government to optimize the talent admission policy and the strategy of strengthening the country with talent.
The Relationship of International Trade Law and International Environmental Law: Using Marine Law as the Point of Contact
Authors: Liu Zhuofan
Published: November 2024

This paper examines the intersection of international trade law and international environmental law, with a particular focus on marine law as a critical point of contact. It explores the current utilization and protection of marine resources within the context of international trade, highlighting the significant environmental impacts and governance challenges that arise. The paper provides a comprehensive analysis of existing international treaties and agreements, their implementation processes, and the limitations faced by international institutions in resolving conflicts effectively. Through an in-depth examination of key international agreements such as UNCLOS, the Paris Agreement, and the Montreal Protocol, the paper identifies gaps and challenges in the current framework. It emphasizes the need for improved coordination and cooperation among nations to balance economic development with environmental sustainability. The paper also offers practical recommendations for enhancing international trade and environmental laws. These include integrating clear environmental standards into trade agreements, setting phased environmental targets, and formulating specific international treaties for the sustainable management of marine resources. Additionally, it calls for the establishment of robust enforcement mechanisms and the promotion of technological advancements in environmental protection. By addressing these critical issues, the paper aims to contribute to a more sustainable and equitable global governance system for marine resources.
Study on the Reservoir Interlayer in The Southern Part of Tianci Bay in the Ordos Basin
Authors: Si Haojie , Yuan Zhen
Published: November 2024

The study of reservoir interlayers is an indispensable content to reveal reservoir heterogeneity. The main formation of Chang 4+5 in Tianciwan South Oilfield of Jingbian Oil Production Plant has entered the development stage of high water cut, and the distribution of remaining oil is complex. In order to meet the needs of oilfield development and production, it is necessary to study the development status of interlayer in this formation. At present, the study of interlayers mainly relies on manual analysis of logging curves. Due to the variety of logging curves and the huge amount of data, the research process is time-consuming and low efficiency. This paper takes the Chang4+5 reservoir group of Tianci bay South Oil field of Jingbian Oil Production plant as the main research object, aiming at the existing problems of heavy workload and low accuracy, an automatic separation identification method is proposed. This method is based on logging data, and through digital filtering and gradient discrimination, it realizes rapid and accurate identification of interlayers.
The Usage of Machine Learning Algorithms in Credit Evaluation Model
Authors: Ji Xiaoliang
Published: November 2024

Credit scoring models are important tools for evaluating the credit status of individuals or businesses and play a significant role in the financial field. This study aims to suggest a prediction framework for credit evaluation model based on machine learning (ML) algorithms and explore the application principles and steps of combining credit scoring models, then provide  an practical example to show the method for applying the model.In addition, the article also analyzes the issues that credit evaluation models should pay attention to in production practice at the end.
Exploring Gender Disparities in Education: Implications for Policy and Practice
Authors: Liu Sixuan
Published: November 2024

This literature review critically examines relevant literature on gender disparities in educational contexts, with a particular focus on factors contributing to gender imbalances in student applications and enrollment figures. By analyzing studies and expert insights from Jennie Weiner, Azza Karam, and findings from a Yale study on teachers' perceptions, this review aims to uncover the underlying mechanisms of gender bias and propose informed strategies to foster a more gender-inclusive educational environment.
Cultivating the Concept of the Chinese Ethnic Group Community from the Perspective of Cultural Identity
Authors: Cai Yuqiao
Published: November 2024

In the context of cultural diversity, cultivating a sense of shared identity among the Chinese ethnic group is not only crucial for national unity and ethnic solidarity but also promotes social harmony and development. Within the concept of the national community, cultural identity serves as a core element, playing an irreplaceable role in enhancing ethnic cohesion and centripetal force. Currently, China is in a crucial period of realizing the great rejuvenation of the Chinese ethnic group, facing various complex situations and challenges. To cultivate the concept of the Chinese ethnic group community and enhance the cultural identity and sense of belonging of all ethnic groups, efforts can be made to strengthen historical education, deepen understanding of Chinese ethnic group history and culture, and thereby enhance cultural identity among different ethnic groups. To promote cultural exchange and integration, cultural exchange platforms can be established to foster mutual respect and understanding of different ethnic cultures, promote the core socialist values, and advance the inheritance and innovation of Chinese excellent traditional culture, providing strong support for cultivating the concept of the Chinese ethnic group community.
Enhancing Battery Performance and Safety Through Nanomaterial Coatings
Authors: Meng Ziqin
Published: November 2024

The global transition to electric vehicles (EVs) is crucial for reducing carbon dioxide (CO₂) emissions and combating climate change. Although EVs offer environmental and economic advantages, battery performance challenges such as electrode degradation and electrolyte decomposition hinder their widespread adoption. This paper investigates the use of nanomaterials in battery coatings and membranes to improve EV battery performance and lifespan. Conductive polymers like Polyaniline (PANI), carbon-based materials such as g-C₃N₄/CNTs, and α-Fe₂O₃@C are explored for their capacity to enhance electrode stability, electrical conductivity, and specific capacity. Additionally, the paper addresses how nanocoatings mitigate issues like electrode degradation, parasitic reactions, and thermal management, ultimately extending battery life and improving safety. By integrating nanotechnology, significant advancements in battery efficiency, longevity, and safety can be achieved, making EVs a more viable and sustainable transportation option. These developments are essential for achieving global carbon reduction goals and supporting a cleaner future.
The Impact of Digital Learning Platforms on Student Motivation in High School
Authors: Chen Huiwen , Huang Yitian
Published: November 2024

This study explores the relationship between the use of digital learning platforms and student motivation in high school settings. With the increasing integration of technology in education, understanding its influence on student engagement and motivation is critical. This research employs a cross-sectional survey design with a sample of 200 high school students from New York City. Using a questionnaire based on the Academic Motivation Scale (AMS), the study examines whether students who regularly use digital platforms demonstrate higher motivation levels than their peers who do not. Data analysis, conducted using SPSS, reveals a significant positive relationship between digital platform usage and student motivation. The findings suggest that digital learning tools may enhance motivation, offering important implications for educators and policymakers. However, the study's cross-sectional nature and limited sample size present constraints, indicating the need for further research.
Analysis of the Economic Growth Effect of the National Free Trade Port Zones
Authors: Huang Yongsong
Published: November 2024

In the dynamic landscape of globalization, the pivotal role of free trade zones in catalyzing openness and international trade has gained unprecedented prominence, drawing keen governmental interest worldwide. As China deepens its commitment to reform and openness, it ambitiously outlined plans for the establishment of national pilot free trade zones and free trade ports in 2018. The grand vision was to set a gold standard for openness in the new era and bolster international competitiveness. A thorough review and analysis of existing literature on national free trade ports reveal compelling insights. Evidence strongly suggests that the construction of these ports has not only significantly propelled economic growth but also triggered a ripple effect across various sectors. Mechanistic dissection elucidates that this growth can be attributed to heightened foreign investment attraction and accelerated technological innovation. This paper contributes robust empirical evidence to the discourse on refining and advancing the construction of the free trade system, thereby offering valuable guidance for policymakers and practitioners alike.
Application Of Chatgpt in The Field of Preschool Education from The Perspective of Personalized Learning
Authors: Wei Jialin
Published: November 2024

With the rapid change in science and technology, ChatGPT has become a topic of concern in all walks of life, and ChatGPT's development in education has also received extensive attention. This paper explores the application of ChatGPT in the field of preschool education against the background of John Dewey's child-centered theory in educational practice. ChatGPT's education model is of great significance to the current way of children's education, which is conducive to further optimizing the comprehensive reform of the kindergarten curriculum. Through the conclusions, it is concluded that ChatGPT can better promote the innovation and progress of education in preschool education. Based on this, this paper puts forward the following suggestions: firstly, the new artificial intelligence should be applied in preschool education from many aspects. Secondly, the use of new artificial intelligence in home, school, and social education can better realize the reform and innovation of education. Finally, the use of new learning methods can promote the development of children's abilities and provide a more personalized learning experience.
Applications and Research Gaps of LLM-based English-as-a-foreign-language Education
Authors: Jiang Hengke
Published: November 2024

English as a Foreign Language (EFL) education is crucial in today’s globalized world. With the rapid development of Artificial Intelligence (AI) and Large Language Models (LLMs) over the past few years, educators continuously investigate how to use them to improve EFL educational methods. This article reviews the studies on integrating LLMs with EFL speaking and writing education from 2020 to 2024. It separately summarizes current LLMs’ strengths and weaknesses in improving EFL learner’s skills and learning motivation. This research demonstrates a promising future of applying LLMs in EFL education because of their strong abilities of immediate feedback generation and no-stress communication environment creation. However, they also find their shortages like superficial incorrect feedback. The research gaps in these areas are also analyzed based on these articles, which include uneven participants, the lack of differentiated investigation on samples with different ages and education levels, and the lack of research on various LLMs.
Exploring the existence of free will: A neuroscientific investigation
Authors: Ding Jingyi
Published: November 2024

Free will, an age-old philosophical concept, is integral to our understanding of human autonomy, ethical responsibility, and the legal system. Its presence or absence fundamentally influences our decisions and the fabric of societal norms. In recent years, the advancement of neuroscience has made re-evaluating free will increasingly important. This paper reviews philosophical perspectives from ancient to modern times, integrates neuroscientific experiments, and analyzes psychological research to comprehensively explore the issue of the existence of free will. It enumerates contemporary mainstream views on the existence of free will, discusses the sources of the sense of free will, and highlights its profound implications for both individual and collective societal structures. The paper finds that current discussions on the existence of free will remain controversial. In the end, it summarizes the findings and provides an outlook on future research. New technologies and further interdisciplinary studies are expected to offer new perspectives and evidence for understanding free will.
Option Pricing Based on REGARCH Model with High-Frequency Information
Authors: Zhao Xiaohan
Published: November 2024

As a prevalent tool for hedging risk, the trading volume of options has been growing increasingly in the derivatives market. Precision in the estimation of volatility leads to accurate option pricing. Since volatility is time-varying and has a clustering effect, GARCH class of volatility models is effective in modeling volatility precisely. This paper utilizes the realized EGARCH (REGARCH) model combined with Monte Carlo simulation to investigate the role of high-frequency information in option pricing. The parameter estimates of the REGARCH model are obtained via joint maximum likelihood estimation using observations on returns and realized measure. Applying the model to S&P options market, the empirical results show that the REGARCH model that using high-frequency data is more efficient than the model that only use daily closing prices, including the EGARCH, NGARCH and GJR-GARCH models. This paper demonstrates that incorporating realized measures into volatility models can improve the accuracy of option pricing. The REGARCH model contained more intraday trading information from high-frequency data, can measure the additional risk premiums and specific volatility shocks.
Preface: 8th International Conference on Education, Management and Social Science (EMSS 2024)
Authors: Trevelyan Samantha , Zhang Zhilin
Published: November 2024

At the end of 2024, we would like to present an international proceeding that containing of the selected papers from the 2024 8th International Conference on Education, Management and Social Science (EMSS 2024). This conference is an annual important event to publish of research results. We are hoping that the event will become a foothold of thinking in welcoming of global developments. In addition, publications packaged in this seminar will further strengthening existence and reputation as an educational institution that excels in scientific publication at national and international levels.
EMSS 2024 is a leading international conference for researchers and practitioners to share their new ideas, original research results and practical development experiences from education research, management engineering, historical research, humanities, sociology, and social science. This conference was held in Manila, Philippines during September 21-22, 2024 with the aim to act as a forum for exchange and dissemination of knowledge and ideas on the latest developments.
We hope the international proceedings will be able to encourage students, teachers, lecturers, practitioners, researchers, and higher education community in developing scientific research and publications to support the nation's developments.
EMSS Organizing Committees
Manila, Philippines