bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecasting and Impact Analysis of the Development Trends of China's New Energy Electric Vehicles Based on Time Series Causal Analysis
Authors: Ge Qilian , Liu Enning , Qi Yingxin
Published: November 2024

New energy electric vehicles with numerous properties have experienced explosive growth in recent years. This research constructs an ISM model to analyze the key factors influencing the new energy vehicle market and develops both a Winters' additive model and an ARIMA model to forecast the development of the NEV industry from 2023 to 2033. The results show that, the development of the new energy vehicles in the following ten years as a growth trend. Moreover, Granger causality tests, conducted within the VAR framework, revealed that NEV sales growth and market share significantly impact policy effectiveness and market dynamics. Simultaneously, the environmental impact was assessed using a LCA model, which indicates that the development of new energy vehicles is beneficial to the ecological environment. The results contribute to the theoretical and empirical understanding of the NEV market, providing valuable insights for policy makers and industry stakeholders.
The New Woman in Critical Realism: Study on the Female Image of Becky in Vanity Fair
Authors: Chen Yunxin
Published: November 2024

Vanity Fair is the outstanding masterpiece of British critical realist writer William Makepeace Thackeray. In Vanity Fair, Thackeray interprets the status and image of women in a patriarchal and money-centered world, attacking a decadent and hypocritical society, and at the same time creating a new woman, Becky Sharp, who is different from the traditional Victorian image of women. Although Becky comes from a humble background, she does not resign herself to her humble origins and tries to join the upper class, challenging the secular tradition and patriarchal system, and finally leading an ideal life and realizing her self-worth. As a typical representative of the new women in the period of critical realism, Becky's independent, strong, aggressive and rebellious spirit is considered to be the embodiment of the awakening of women's consciousness in the period of critical realism. This thesis will interpret the image of Becky in Thackeray's Vanity Fair from a feminist perspective based on Beauvoir's feminist critical theory. Becky strives to pursue the life she wants and bravely rebels against the authority of the traditional patriarchal society, reflecting her independent, brave and self-worthy feminine spirit. In general, Becky is a warrior against money and patriarchy, and is a typical representative of the new woman who pursues independence in the period of critical realism.
Research on Credit Card Fraud Risk Identification Based on Integrated Logistic Regression Model
Authors: Yu Mo , Yan Rongpeng
Published: November 2024

Effectively identifying credit card fraud using machine learning methods is a significant issue in the financial sector. In this context, machine learning models encounter challenges such as the imbalanced distribution of sample data labels and the high dimensionality of customer feature sets. Addressing these two critical factors, this paper develops an enhanced method for the logistic regression model. This approach not only balances the sample label distribution through resampling but also mitigates the estimation issues arising from the curse of dimensionality. Furthermore, the proposed method addresses the coverage issue of the entire feature set. It solves that resampling can only partially address the curse of dimensionality problem and employs L1 regularization for each logistic regression submodel to further alleviate this issue. Results from simulation experiments and real-world data analysis demonstrate that the proposed method is competitive with logistic regression and several classical classification techniques. This method is not only effective in resolving credit card fraud risks but also has the potential to be extended to other domains.
Correlation and Impact of SSEC and SZI Empirical evidence based on VAR model
Authors: Feng Fan
Published: November 2024

Today, the world economy is experiencing globalization and diversification, and China's economy is also developing rapidly, also the development speed of the capital market has been significantly improved. Among them, the impact of the development of the securities industry on China's capital market cannot be ignored. As the two major stock exchanges in China, the Shanghai Stock Exchange and the Shenzhen Stock Exchange are not to be underestimated in the securities market. Therefore, the Shanghai Securities Composite Index (SSEC) and the Shenzhen Securities Component Index (SZI) represent the direction of China's stock market to a certain extent. Therefore, this paper will start from the perspective of SSEC and SZI, select the data for a total of 10 years from 2009-2018, and try to construct the VAR model, and finally draw the impulse response function graphs of both of them. The basic conclusions of the study are the SSEC has a relatively large impact on the capital market, while the SZI has a relatively small impact on the capital market. Therefore, the inspiration for investors is that the SSEC is more informative and useful when making investments.
Underwriting Decision Modeling Based on Regional Hazard Assessment and Urban Resilience
Authors: Pang Biao , Zhao Yutong , Miao Zehao
Published: November 2024

In recent years, frequent extreme weather disasters have posed serious challenges to the economic social, and post-disaster recovery capabilities of places such as the United States, and original insurance models and payout strategies are difficult to adapt. Scientific assessment and response to natural disaster risks have become a key topic. This paper presents the Urban Resilience Index (URI) derived from 18 indicators. The ability of the city itself is rationally assessed for disaster resilience, which better helps insurance companies predict the loss compensation caused by disasters. This study starts by analyzing the risk of disasters in various regions of the United States, takes the intensity and frequency of disasters and the toughness of the city's resistance to disasters into account, and uses nonlinear multi-objective optimization to derive the threshold value of the payout strategy in a certain region to be around 0.21 and 0.94, respectively, and at the same time, after the control of the scalar function of the number of iterations is between 10 and 15 times, the final determination of the insurance model that responds to the different regions and verifies. The insurance model to cope with other areas is finally determined and its feasibility is verified.
The Impact of ESG Information Disclosure on Corporate Financial Risk—Evidence from Chinese Enterprises
Authors: Zhan Wenqian , Jiang Lin
Published: November 2024

Currently, as society has placed increasing emphasis on environmental, social responsibility, and corporate governance (ESG) issues, a company's performance in ESG has gradually become an important indicator for assessing its sustainable development capabilities. However, there is limited research on how ESG information disclosure affects financial risk. This study empirically analyzes the impact of ESG information disclosure on corporate financial risk based on data from listed companies on the Chinese A-list companies from 2010 to 2022. The findings reveal that robust ESG information disclosure can significantly reduce corporate financial risk. This effect is mainly mediated through alleviating financing constraints and moderated by promoting digital transformation, which further enhances the impact of ESG disclosure in reducing company financial exposure. Further analysis shows that the effect of ESG information disclosure on reducing financial risk is more pronounced in companies located in the central and western regions, in non-highly polluting industries, and among growing and small-scale enterprises. This research provides valuable insights for corporate managers and policymakers seeking to improve ESG practices.
Machine Learning Based Portfolio Analysis
Authors: Han Yingjie
Published: November 2024

This paper investigates the effectiveness of machine learning methods in predicting stock returns in China. In this paper, we use 16 liquidity, momentum, market risk and macro fundamentals indicators, as well as 112 interaction terms between indicators and macro variables with monthly stock excess returns for the lagged period from January 2000 to November 2015 as the sample set, train elasticity networks, gradient boosting, random forests, neural networks, and simple linear regression models, and based on the data of December 2015, predict the January 2016 returns, form portfolios based on the predictions and hold them for 12 months, and thereafter roll over the extended sample period to form new portfolios, and evaluate the performance of the portfolios based on out-of-sample alpha versus the estimated shap value to assess the significance of the metrics. The results show that the machine learning approach significantly outperforms the simple linear regression model and performs better in terms of weighted portfolio returns. The portfolio constructed based on the neural network model (NN1) achieves the lowest mean square error and the highest model fit, and NN3 achieves the highest out-of-sample alpha, suggesting that the model is able to achieve higher risk-adjusted returns when risk factors are taken into account. Further analysis shows that the NN3 model is able to effectively identify high-yielding stocks and control portfolio risk, making it a preferred strategy for investment portfolios in the Chinese equity market. This paper still supports Leippold's (2022) view that liquidity indicators are most important after excluding fundamental indicators.
ASSESSMENT OF KNOWLEDGE ATTITUDE, AND PRACTICES OF NURSES REGARDING COLOSTOMY CARE
Authors: RAHEEM A , SADDIQUE H , TASNEEM SS
Published: November 2024

Colostomy care is a critical aspect of nursing practice that requires comprehensive knowledge, positive attitudes, and effective practices. Nurses play a pivotal role in managing colostomies and ensuring optimal patient outcomes. However, gaps in knowledge and practices persist, particularly in resource-limited settings, impacting the quality of care delivered. Objective: To assess the knowledge, attitudes, and practices of nurses regarding colostomy care and identify areas requiring improvement. Methods: A quantitative cross-sectional study was conducted at a tertiary care hospital in Lahore, Pakistan. A total of 150 nurses from medical, surgical, and other departments were recruited using convenient sampling. Data were collected using a validated questionnaire covering demographic characteristics, knowledge, attitudes, and practices related to colostomy care. Descriptive and inferential statistics were used for analysis, with results presented as frequencies and percentages. Results: The study revealed that 84.0% of participants correctly identified the relationship between colostomy output and its anatomical location, and 79.3% were aware of odor-reduction filters for ostomy bags. Positive attitudes were prevalent, with 87.3% reporting confidence in providing stoma care. Adherence to hand hygiene practices before and after procedures was 100.0%, reflecting excellent hygiene compliance. However, 26.7% did not address physical problems related to stomas, and 43.3% expressed neutrality about access to expert staff for colostomy care. Conclusion: Nurses exhibit commendable knowledge and practices in colostomy care, yet systemic barriers such as limited access to expert staff and inconsistent training opportunities impact care quality. Enhancing institutional support and providing targeted education can bridge these gaps, empowering nurses to deliver optimal care and improve patient outcomes.
Physicochemical and functional properties of yogurt enriched with ultrafiltered juice of Red Prickly Pear (Opuntia ficus-indica) as a functional ingredient
Authors: Valadez Pineda Alondra , Mendez Zamora Gerardo , Vasquez Aguilar Nydia Corina , Sandate Flores Luisaldo , Hernandez Martinez Carlos Alberto , Sinagawa Garcia Sugey Ramona
Published: November 2024

Yogurt has long been recognized as a health-promoting food for its bioavailability of protein, energy, probiotics and calcium, increasing digestibility, as well as preventing potential diseases beyond basic nutritional function. Recently, yogurt has become one of those foods whose functional properties are developed by adding functional substances with a potential positive effect on health. The objective was to evaluate the effect of ultrafiltered juice of red fruits of O. ficus-indica as a functional ingredient in yogurt. A completely randomized block design (CRBD) was used. The treatments were: yogurt with 0 % ultrafiltered red prickly pear juice (Y0) as a control; yogurt with 10 % ultrafiltered red prickly pear juice (Y1); yogurt with 20 % ultrafiltered red prickly pear (Y2); and yogurt with 30 % ultrafiltered red prickly pear juice (Y3). The variables to measure in each yogurt treatment were pH during lactic fermentation and the final product, syneresis, energy content, colorimetry, composition (total solids, protein, fat and ash), antioxidant activity (DPPH, ABTS and FRAP), phenol content and sensory evaluation. The incorporation of red prickly pear ultrafiltrates accelerated antioxidant activity and total phenolic contents. Finally, the sensory panel satisfactorily accepted the incorporation of red prickly pear ultrafiltered in yogurt.
DOI: https://doi.org/10.54167/tch.v18i4.1614
Exploring Cultural Differences Between Different Countries Through Realistic Films
Authors: Guo Chenrui
Published: November 2024

Abstract: In recent years, films with realist themes and underlying narratives from different countries have gradually entered the public eye and received public attention. These films portray different underclass characters based on different cultural backgrounds and deeply reflect the problems faced by society according to the changes of the characters. This paper explores the cultural kernel of realism films in different countries by analyzing and comparing the plot content, audiovisual characteristics and other aspects of the three films Joker, Memories of Murder and I Am Not the God of Medicine, and finally concludes that this type of film plays a positive role in the development of contemporary society by warning and reflecting on the development of contemporary society and promoting the improvement of laws, and it also draws the common point that the three films show social problems through the imperfect minor characters. this common ground.
Classroom Constructivism Inventory: Informing Teaching Practices
Authors: Samuels William Ellery
Published: November 2024

This study addresses the need to assess critical thinking in P-12 teaching by developing the Classroom Constructivism Inventory (CCI), a tool designed to assess constructivist teaching practices. Constructivism, which emphasizes active student involvement and the construction of knowledge, has been linked to positive educational outcomes. Despite its benefits, the diverse implementation of constructivism complicates its evaluation. The CCI was created to provide a construct-valid and user-friendly instrument for assessing the presence and effectiveness of constructivist elements in classrooms. Grounded in the theories of Piaget and Vygotsky, the CCI measures adherence to constructivist principles, such as student-centered activities, democracy in classroom interactions, professionalism, and the development of inquiry skills. The instrument was tested with two groups of teachers: one trained in constructivist methods and a control group with traditional training. Results demonstrated the CCI’s subscales’ reliabilities (pretest Cronbach’s αs = .79 - .83), good test-retest reliability (rExperimental = .53; rControl = .70), and its ability to distinguish between the teaching practices of the two groups. Teachers trained in constructivist methods led more student-centered activities and encouraged greater use of inquiry skills. The findings support that the CCI can validly measure constructivist teaching in real classroom settings, providing educators with a practical tool to enhance and evaluate constructivist teaching practices. Further validation with a broader range of school faculty is recommended.
A Bibliometric Study of Mobile-Assisted Language Learning from 2013 to 2023: Research Themes and Trends
Authors: Dou Kun , Abdul Halim Huzaina , Mohd Saad Mohd Rashid
Published: November 2024

The widespread use of mobile-assisted language learning (MALL) in learning and teaching foreign languages has attracted significant interest. Following the substantial impact of COVID-19 on language education, the focus on MALL among researchers has increased to a new level. This paper reviewed the MALL-related Social Science Citation Index (SSCI) articles from 2013 to 2023, sourced from the Web of Science (WOS). Out of 535 identified articles, 241 were analyzed systematically to generate knowledge maps using CiteSpace. Based on the bibliometric study, this research identified and discussed the popular themes and research trends in MALL. Three major themes emerged through keyword co-occurrence analysis: 1) a primary focus on the English language; 2) technology integration in language learning; and 3) a learner-centered focus. The results also revealed four research trends: 1) development and application of mobile learning technologies; 2) in-depth study of language acquisition and skills development; 3) innovative research on learner characteristics and teaching methods; and 4) a shift in research methods. This research contributes to the existing literature by consolidating current knowledge and offering guidance for future investigations or developments in MALL.
Impact of Vitiligo on Fasting Blood Sugar and Thyroid Hormone Profile on Libyan Patients
Authors: Mariam Elahjal
Published: November 2024

Vitiligo is a common acquired skin disease characterized by the development of circumscribed white patches of skin. It affects 1-2% of the general population. Autoimmunity plays a significant role in the pathophysiology of vitiligo. This study was intended to assess the prevalence and association of fasting blood sugar and thyroid function abnormalities among Vitiligo patients and healthy controls. A case-control study was carried out among thirty patients with a confirmed diagnosis of vitiligo (53.3% female and 46.7% male) who attended Tripoli Central Hospital (TCH) and Tajoura Hospital for follow-up, and a matched number of control subjects were recruited randomly. All blood samples were collected to assay for the FBS test, triiodothyronine (T3), thyroxin (T4), and thyroid-stimulating hormone (TSH). According to the recent data, the mean age of patients who were involved in this study was 34.4±16.51 years, while the mean age of onset was 20.13 ±14.19. Additionally, the data revealed that there were significant differences in FBS between vitiligo patients and healthy control groups (p-value = <0.001). Moreover, there were statistically significant differences between vitiligo patients and non-vitiligo subjects in T4 (p-value = 0.042). Furthermore, there was no significant correlation between the vitiligo phenotypes and thyroid hormone levels. P-value = 0.911 Chi-Square = 0.186. According to the results of the present study, it appears that vitiligo affects both sexes, especially women. It has also been noted that generalized vitiligo was more common, and there was no correlation between patterns of vitiligo and thyroid state.
Comparative Analysis of ITGΒ6 Gene Expression in Oral Cancer
Authors: Abdullah Ahmad  , Asma Ahmad
Published: November 2024

The goal of this study was to determine the quality and quantity of ITGβ6 gene expression in oral squamous cell carcinoma (OSCC). Two Cell lines (H357) and (Vβ6) were used to analyses β6protein and gene expression by using BAC assay, SDS-PAGE gel, and western blotting, agarose gel as well as real- time PCR techniques. The western blotting and real-time PCR studies demonstrated high level of protein expressions in the transected Vβ6 cells line which shown as clear thick band. On the other hand, a protein expression of H357 cells line was less and gives weak band. Therefore, Squamous cell lines from the oral mucosa that express β6 are linked to increased invasion and progression. This highlights the significance of understanding cancer progression mechanisms and the impact of varying expression levels in different tumors.
Strategi Product Management Sebagai Kunci Keberhasilan Kewirausahaan Berbasis Teknologi Informasi
Authors: Melisa Selfi , Veri Jhon
Published: November 2024

Penelitian ini membahas pentingnya strategi manajemen produk dalam mendukung kewirausahaan berbasis teknologi informasi di era digital. Dengan metode Systematic Literature Review (SLR), hasilnya menunjukkan bahwa teknologi seperti machine learning, pelatihan tim, dan pengelolaan risiko berbasis data berkontribusi signifikan pada daya saing dan inovasi, memastikan keberlanjutan bisnis di era modern.
Risk Management Strategies, Customer Satisfaction, And Operational Efficiency: Keys To Msme Success In A Competitive Market
Authors: Hidayat Rahmat Al , Suherlan Suherlan , Muna Almaududi Ausat Abu
Published: November 2024

Dalam iklim bisnis yang semakin kompetitif, Usaha Mikro, Kecil, dan Menengah (UMKM) memainkan peran penting dalam ekonomi, baik secara lokal maupun nasional. Oleh karena itu, UMKM harus menghadapi berbagai tantangan terkait manajemen risiko, kepuasan pelanggan, dan efisiensi operasional. Penelitian ini bertujuan untuk mengeksplorasi dinamika antara manajemen risiko, kepuasan pelanggan, dan efisiensi operasional dalam konteks UMKM dan bagaimana interaksi ini memengaruhi keberhasilan mereka. Penelitian ini menggunakan metode tinjauan pustaka dengan pendekatan kualitatif, mengumpulkan data dari publikasi Google Scholar antara tahun 2004 dan 2024. Studi ini mengonfirmasi bahwa manajemen risiko, kepuasan pelanggan, dan efisiensi operasional adalah faktor kunci yang saling terkait dan memiliki dampak signifikan terhadap keberhasilan UMKM di pasar yang kompetitif. Melalui analisis studi kasus yang relevan, terlihat bahwa strategi manajemen risiko yang efektif dapat membantu UMKM menghadapi ketidakpastian pasar dan mempertahankan stabilitas operasional. Kepuasan pelanggan yang tinggi, dicapai melalui kualitas produk dan layanan yang unggul, berkontribusi pada pertumbuhan dan loyalitas pelanggan. Efisiensi operasional, yang dicapai melalui inovasi teknologi dan perbaikan proses, memungkinkan UMKM untuk mengurangi biaya dan meningkatkan daya saing. Integrasi ketiga faktor ini memungkinkan UMKM untuk menghadapi tantangan pasar dan mencapai pertumbuhan yang berkelanjutan
Pengaruh Pemanfaatan Media Video Youtube Terhadap Kemampuan Berpikir Kritis Siswa pada Mata Pelajaran Informatika Kelas VIII SMP Negeri 1 Painan
Authors: Nurhalizah Sry Sherly , Hidayati Abna , Novrianti Novrianti , Rahmi Ulfia
Published: November 2024

Critical thinking in informatics learning is an important competency that needs to be developed in students. This study aims to investigate the effect of the use of YouTube video media on the improvement of critical thinking skills of grade VIII students of SMP Negeri 1 Painan. Through a quantitative approach with an experimental design, this study compares the critical thinking skills of students who receive learning with YouTube video media (experimental class) with students who receive conventional learning (control class). The research sample was taken at a simple random rate from the student population of grade VIII, namely class VIII.6 (experimental class) and class VIII.4 (control class). Data collection was carried out using a questionnaire that had been validated, consisting of 26 statements to measure critical thinking skills. Data analysis was carried out in two stages, namely descriptive analysis to describe data characteristics and inferential analysis using a t-test to test the average difference in critical thinking skills between the two groups. The results showed that the average score of critical thinking ability of students in the experimental class (95.56) was significantly higher than that of the control class (87.36) with a significance value of 0.001. This indicates that the use of YouTube video media is effective in improving students' critical thinking skills in informatics subjects
COMMUNICATING THROUGH GRIEF: THE EFFECTS OF WRITING IN THE VICTORIAN AND GILDED AGES
Authors: Guarneri Dr. Cristina
Published: November 2024

Grief is a complex emotional response to loss and is expressed in many ways. Mourning stationery, mourning cigarettes, hair wreaths, and mourning rings, on the more expensive end, were objects used to signal a public display of grief, but writing had a profound influence on the Victorian and Gilded Ages, but even in death, there was money to be made in death during the Victorian and Gilded Ages. The world of commerce was quick to recognize the money to be made from this unexpected and unprecedented run on all things funeral. As the production of mourning tea sets reveals, taking tea and thinking about death were two cultural practices that could be done simultaneously. An important legacy that remained in mourning was letter writing and stationery during the Victorian and Gilded Ages, which was based on the writer and recipient of expressive papers, and has been maintained as a tradition through modern times as a form of expression and healing. As mourning became more expressive, handwritten notes and letters reached peak popularity during the second half of the 19th century and became fashionable for people as being characterized by having an elegant simplicity.
THE BENEFITS AND CHALLENGES OF ACTIVE LEANING ON STUDENTS’ ACADEMIC PERFORMANCE
Authors: Ibrahim Hassabo Dr Gamar Sulieman , Nasur Ibnauf Ms. Nahla Mohamed
Published: November 2024

A strategy known as "active learning" allows students to contribute actively to their education by developing their knowledge and comprehension. This study investigated the benefits and challenges of active learning for improving students' academic performance, specifically focusing on English department students at Samtah Applied College. The study concentrated on the strategies, benefits, and challenges of active learning in enhancing learning outcomes. A mixed-method approach was used to collect data on students’ participation in active learning activities and the challenges they faced. The findings indicate that students who actively engaged in learning activities showed notable improvements in their communication skills, competence, and critical thinking. However, the study also revealed that students encountered challenges such as lack of time, limited access to activities, and insufficient support from instructors and mentors. Therefore, policymakers and educators should encourage both students and teachers to implement active learning by providing diverse learning resources, partnering with community organizations, offering support to students, and creating more flexible and convenient activities. This study also highlights that the use of active learning can significantly impact students' performance, benefiting them throughout their academic and professional careers. The study presents preliminary findings, recommendations, and suggestions based on the identified solutions.
The Role of Data Science in Enhancing Web Security
Authors: Sanmorino Ahmad
Published: November 2024

With the rise of digital transformation, web security has become a critical concern for organizations, governments, and individuals. This study explores the role of data science in enhancing web security by leveraging machine learning algorithms and advanced analytics to predict and identify potential attacks in real-time. The main objective is to demonstrate how data-driven techniques, including predictive analytics, anomaly detection, and behavioral analysis, can be integrated into existing security frameworks to reduce vulnerabilities and strengthen defenses against cyber threats. The research gap addressed by this study lies in the insufficient application of comprehensive, data-driven methodologies for threat detection and classification in web security. The problem gap is the absence of integrated frameworks that combine feature engineering, classification models, and anomaly detection for both known and unknown threats. This study bridges these gaps by employing a structured dataset of web interactions to model, detect, and predict security threats using advanced data science techniques. Using a dataset of simulated web traffic and previous attack records, this research applies data preprocessing, feature engineering, and machine learning classification models, such as decision trees and random forests, to predict threat levels and identify anomalies. Results show that machine learning models can effectively classify threat levels, with a threat classification accuracy of 80 percent. This study contributes to the field by demonstrating how data science can improve web security practices, offering a proactive approach to detecting and mitigating cyber-attacks.
Hemorrhage Segmentation on Retinal Images for Early Detection of Diabetic Retinopathy
Authors: Hermawan Hendar , Whardana Adithya Kusuma
Published: November 2024

Diabetes mellitus is a chronic disorder that can lead to serious complications, including diabetic retinopathy, which affects the eyes and can potentially lead to blindness. Rapid identification of diabetic retinopathy is crucial to facilitate quicker and more efficient treatment for patients. This study aims to segment hemorrhages in retinal images using the Laplacian of Gaussian (LoG) approach in conjunction with threshold-based segmentation and analysis of region properties, including eccentricity. The LoG approach is utilized for its ability to detect edges, features, and abrupt variations in image intensity, thereby optimally highlighting the bleeding lesion area. With accurate segmentation, it is hoped that early detection and monitoring of diabetic retinopathy can be improved. This research uses the IDRiD, DR_2000, and DIARETDB1 datasets, recommending the use of IDRiD and DIARETDB1 for optimal results. Through this methodology, it is expected to make a significant contribution to reducing the risk of blindness in diabetes patients.
Цифрова трансформація іншомовної підготовки в умовах інтернаціоналізації
Authors: Гуліч О. О. , Четверик В. К.
Published: November 2024

Актуальність представленої розвідки зумовлена необхідністю цифровізації галузі іншомовної підготовки як важливого складника інтернаціоналізації. У роботі висвітлюється значення цифрових технологій для підвищення ефективності іншомовної освіти та якості міжнародної комунікації. Метою дослідження є оглядовий аналіз основних аспектів і інструментів цифрової трансформації в галузі іншомовної підготовки. У дослідженні використано методи аналізу, синтезу, порівняння та узагальнення науково-педагогічної літератури. Проведено контент-аналіз сучасних цифрових технологій у мовній освіті. Охарактеризовано потенціал мобільних застосунків, відеоконференцій і онлайн-платформ, зосереджено увагу на можливостях штучного інтелекту в мовній освіті. Проаналізовано й систематизовано потенціал штучного інтелекту для персоналізації навчання та можливості чат-ботів у мовній практиці. Запропоновано практичні підходи до використання штучного інтелекту в іншомовній підготовці. Практичне значення дослідження полягає в можливості застосування отриманих результатів для вдосконалення мовної освіти та інтеграції сучасних цифрових ресурсів у навчальний процес. Перспективами подальших досліджень у цьому напрямі є розроблення методики роботи із цифровими ресурсами й інструментами, поглиблене вивчення лінгводидактичного потенціалу штучного інтелекту тощо.
高职院校科研团队建设困境及其路径研究
Authors: 薛 元飞 , 王 睿芳 , 樊 俞均
Published: November 2024

高职院校科研团队的建设是高职院校长远发展的重要途径，也是高职院校提高科技产能和推动技术创新的重要渠道。高职院校科研团队的建设同时能促进高职院校科研文化的发展。本文基于组织周期管理理论探讨当前高职院校科研团队建设遭遇的困境。本文结合深圳职业技术大学霍夫曼先进材料研究院等平台的建设经验和成果，分析了高职院校科研团队建设过程中难题，强调了前期规划、团队管理和科研文化等方面的突破性策略的重要性。本文的研究预期为我国高职院校科研团队建设提供有益的参考价值。
Produção de hidrogênio verde e o consumo de água em plantas de eletrólise
Authors: Rios Lucia del Rosario Garrido , Silva Benedito Cláudio da , Haddad Jamil , Borges Gilze Belém Chaves , Barros Regina Mambeli
Published: November 2024

Após a guerra da Rússia e Ucrânia, os países europeus foram prejudicados quanto ao fornecimento de gás natural, o que os levou a acelerar a busca por alternativas de fontes renováveis de energia. Assim, procurando atingir as metas estabelecidas no Acordo de Paris de 2015, os países europeus iniciaram o incentivo à produção de hidrogênio verde, para implementação de plantas de produção, realizando parcerias com diversos países em desenvolvimento, dentre eles, o Brasil. Neste sentido, o hidrogênio verde se mostra como uma solução promissora na transição energética, sendo que uma das rotas de produção é por meio da eletrólise da água com fontes renováveis de energia. O objetivo deste trabalho é analisar o consumo de água e energia na planta de eletrólise utilizada em todo o processo de produção de hidrogênio verde. São apresentadas as possíveis fontes de água para seu funcionamento, bem como a análise de aspectos de sustentabilidade, a fim de conhecer o impacto do consumo de água no processo de produção do hidrogênio verde. Como estudo de caso real, o estudo mostra a planta de eletrólise da Universidade Federal de Itajubá (CH2V/UNIFEI).
Examination of local and global coherence in the impaired discourse of patients diagnosed with mixed aphasia
Authors: Wójcik-Topór Paulina , Malina Urszula , Michalik Jędrzej
Published: November 2024

The study aimed to investigate the hypothesis indicating that the type of discourse influences the macro- and microstructure of the language used by Polish speakers diagnosed with mixed aphasia, and to demonstrate the discourse-specific linguistic properties in two groups of patients with mixed aphasia with either motor or sensory components compared to the neurotypical control group. The study aimed to investigate the hypothesis indicating that the type of discourse influences the macro- and microstructure of the language used by Polish speakers diagnosed with mixed aphasia, and to demonstrate the discourse-specific linguistic properties in two groups of patients with mixed aphasia with either motor or sensory components compared to the neurotypical control group.Language samples were collected from people with mixed aphasia with motor component (10 subjects), sensory component (10 subjects) and the control group (10 subjects), matched in terms of age and education. Discursive tasks (a description of experiences related to the disease, a description of an important life event, sequential image description, single image description, fairy tale narrative, procedural discourse) were taken from the Aphasia Bank protocol for discourse tasks. The discourse samples were analyzed within the general terms of cohesion and coherence, the relations between them, and the influence of discourse genre on cohesion. Language samples were analyzed for consistency and coded. To obtain qualitative data SALT software was used. Then, a statistical analysis was performed.A greater number of utterances were recorded in mixed aphasia with sensory component, something which may occur due to difficulties in selecting the appropriate vocabulary and overproduction which does not affect the coherence of the elements, but results in grammatical and semantic breakdown. Research has shown that for those with mixed aphasia it is easier to achieve a higher degree of local coherence than global coherence. Analysis has shown that the statements of people with mixed aphasia are characterized by lower local and global coherence.There is a necessity to continue the research to demonstrate the differences within other types of aphasia in Polish. Additionally, it is necessary for therapeutic activities to be undertaken so that those with aphasia could improve their linguistic functioning on a daily basis, especially in discourse production.
Law Enforcement against Perpetrators of Child Grooming Sexual Abuse at the Tebing Tinggi Police Resort: An Islamic Criminal Law Perspective
Authors: Ramadhani Anggi , Ramadani Ramadani
Published: November 2024

This study aims to identify cases of child grooming sexual abuse in Tebing Tinggi City, identify the types of sanctions that can be imposed on groomers from the perspective of Islamic criminal law, and examine the law enforcement efforts undertaken by the Tebing Tinggi Police Resort in handling these cases. This research employs a mixed-methods approach, combining field research and normative legal analysis. The collected data is then analyzed qualitatively to describe the issue and address the research objectives. The results show that child grooming cases at the Tebing Tinggi Police Resort fluctuated throughout 2019-2024, with a significant surge of 70 cases in 2023. The standard modus operandi involves establishing an emotional relationship and trust between the groomer and the victim, which the groomer then exploits to commit sexual abuse. From the perspective of Islamic criminal law, groomers can be subjected to hadd punishment if sexual intercourse occurs or ta’zir punishment if only sexual abuse without intercourse takes place. Simultaneously, the Tebing Tinggi Police Resort has carried out its law enforcement function both repressively, through the process of investigation, inquiry, and determination of suspects based on the provisions of Law Number 8 of 1981 and Law Number 23 of 2002, and preventively, through education and outreach programs. Therefore, it is recommended that the Tebing Tinggi Police Resort, the Tebing Tinggi City Government, community institutions, religious leaders, families, and parents enhance their efforts in preventing and handling child grooming comprehensively and continuously.
Field epidemiology and outbreak investigation
Authors: Spina Alexander , Valeska Rossetto Erika
Published: November 2024

This chapter introduces the principles and practice of epidemiology for disease control as applied to outbreak response through the lens of “field epidemiology”. Applied or “field” epidemiology is primarily concerned with producing timely contextual information to intervene when public health problems arise, often using messy primary data. To advance beyond the military and colonial legacies of the discipline, the term “field epidemiology” will likely, and should, be phased out in favour of terms such as “applied” or “intervention” epidemiology. We will nevertheless, for the purpose of this chapter, use the term “field epidemiology”.The role of a field epidemiologist in investigating and responding to outbreaks of any aetiology can be summarised in ten common steps: preparing for field work, confirming the diagnosis, determining the existence of an outbreak, identifying and registering cases, descriptive analysis, statistical analysis, drawing conclusions, communicating findings, implementing interventions, and evaluating the response as well as continued surveillance. We demonstrate these steps using a hypothetical outbreak scenario, with questions for the reader, and highlight that in practice, these steps do not necessarily happen in succession, multiple steps can happen simultaneously or not at all, and outbreak response is an iterative process.
The evolution of contact tracing
Authors: Luo Yang , Ho Zheng Jie Marc , Lee Vernon
Published: November 2024

Contact tracing has been a pillar of managing infectious disease outbreaks for many years. This chapter describes the instances when contact tracing is useful and the challenges faced in overwhelming contexts, such as during the COVID-19 pandemic. Many countries have developed innovative tools for minimising human resource requirements, but these can bring about new challenges. With vast amounts of data generated by contact tracing technologies, public health officials need to ensure data security and privacy in order to gain and maintain public trust in their use.
Non-pharmaceutical interventions
Authors: Murphy Caitriona , Cowling Benjamin J
Published: November 2024

At the start of an epidemic or pandemic, before vaccines or targeted antivirals are available, non-pharmaceutical interventions (NPIs) help to slow transmission, reducing the burden on healthcare systems. Drawing on experiences during the COVID-19 pandemic, this chapter reviews the evidence of different interventions and their possible implications. We consider four categories of interventions - personal protective measures, environmental measures, targeted response measures, and community-wide response measures.
Complicating humanitarian emergencies
Authors: McNeil Kate , Soo Joycelyn , Henkens Myriam
Published: November 2024

Humanitarian emergencies may create conditions for infectious disease outbreaks, and outbreaks in turn can make humanitarian emergencies more difficult and complicated. This chapter reviews the humanitarian system including humanitarian principles, the humanitarian space, and significant actors in relation to how outbreaks can occur and be managed during humanitarian emergencies. Topics covered here include early warning and alert systems, water, sanitation, and hygiene (WASH) initiatives, nutrition, and vaccination. Comprehensive response to a health crisis in a humanitarian emergency or disaster setting often requires a strategic compromise between clinical and public health protocols and pragmatic considerations. Responses will usually involve strategies to cope with laboratory incapacity (e.g., rapid diagnostic tests), appropriate case management strategies, ample logistics planning, and community engagement for effective infection prevention and control.
Modelling to inform strategy
Authors: Sun Louisa , Leung Gabriel M , Cook Alex R
Published: November 2024

The application of mathematical modelling to the dynamics of infectious disease outbreaks has been pivotal over the past five decades. The significance of such modelling escalated during the COVID-19 pandemic, influencing political decisions and shaping public discourse. Infectious disease models enhance our understanding of epidemiology and disease dynamics, predict transmission rates and patterns, and aid in evaluating public health interventions. Despite their utility, models cannot fully encapsulate the complexities of real-world scenarios, which are influenced by dynamic social behaviours and policy changes. This chapter explains the key model parameters and epidemiological indices fundamental to infectious disease modelling, such as the basic reproduction number \mathcal{R}_{0} and the effective reproduction number {R}_{t}. These indices predict disease trajectories, inform vaccination strategies, and guide public health responses.

The chapter also discusses the implications of symptom profiles, infectivity, incubation periods, disease severity, test positivity, and vaccine efficacy on modelling efforts. Furthermore, it underscores the importance of collaborative efforts between modellers and public health officials to ensure the accuracy and applicability of models in diverse contexts. Ultimately, infectious disease models are invaluable tools for forecasting disease spread and severity, guiding critical healthcare resources, and informing policy decisions to mitigate the impact of outbreaks.
Integrated outbreak analytics (IOA)
Authors: Carter Simone E. , Lissouba Pascale
Published: November 2024

Integrated outbreak analytics (IOA) is an emerging practice that brings together a multidisciplinary team under a Health Ministry to look for locally-based solutions to public health problems. This chapter will focus on the IOA approach in public health emergencies, though IOA teams may also support a Ministry of Health (MoH) or response actors working on recurrent public health concerns such as malnutrition or measles. In an emergency, this team seeks to better understand disease dynamics and its impact on communities, to create a more accountable, appropriate, and effective response.
Establishing laboratory capacity
Authors: Peeling Rosanna W. , Fongwen Noah Takah , Sall Amadou
Published: November 2024

The delivery of laboratory services at each level of a healthcare system requires investment in a robust infrastructure with appropriate technology, human resources, and quality management. Data connectivity linking the results of laboratory, community, and home-based testing to public health programmes allows timely reporting for diseases of public health importance and outbreak alerts. Interoperability and harmonisation of the different data systems used by diagnostic companies, national and regional public health systems, and global surveillance systems are urgently needed. Building surge testing capacity, with equitable access to diagnostics, is essential to improving global health security. Sustainability of laboratory capacity for infectious disease emergency preparedness and effective response will require diverse partnerships and long-term commitment of resources to keep the world’s population safe.
Evaluating and implementing new diagnostics
Authors: Emperador Devy M. , Escadafal Camille , Bausch Daniel G
Published: November 2024

Accurate diagnostics are key for surveillance and response to epidemics and pandemics. However, especially in these urgent and challenging settings, many diagnostic tests may come to the market without extensive evaluation. Their accuracy may not be assured. Furthermore, mutation of a given pathogen during and between outbreaks may call into question the accuracy of diagnostic assays previously evaluated and confirmed.

We aim to introduce technologies used for identifying outbreak-prone infectious diseases, and highlight key considerations for the evaluation of the accuracy of diagnostics for outbreak-prone pathogens (especially during epidemics and pandemics), key challenges in diagnostic test implementation during an epidemic, and emerging or future challenges and opportunities for the rapid development, evaluation, and implementation of diagnostics during outbreaks.
Pathogen genomics for surveillance and outbreak investigations
Authors: Mak Tze-Minn , Stegger Marc , Mølbak Kåre , Maurer-Stroh Sebastian
Published: November 2024

Advances in sequencing technology have enabled whole genome sequencing of microorganisms, allowing their rapid identification and characterisation and measure of relatedness to the highest resolution possible. This facilitates the tracking of pathogen evolution and spread, as well as the identification of variants of interest or concern. Pathogen genomics came into the spotlight with the COVID-19 pandemic. The unprecedented, close to real-time collection of SARS-CoV-2 whole genome sequences spurred rapid diagnostic development and informed outbreak response and surveillance strategies. This chapter provides an overview of the technical processes of sequencing and discusses the value and limitations of pathogen genomics in surveillance and outbreak response.
Critical care in outbreaks
Authors: Liu Ziwei , Kojan Richard , Fischer William
Published: November 2024

Patient-centric supportive critical care represents clinical supportive care for patients with life-threatening illness. Coupled with rapid diagnostics and pathogen-specific treatment, it is an essential aspect of the case management pillar in outbreak response. The goal of critical care is to support organ function, manage complications of existing organ dysfunction, and prevent new organ dysfunction. This requires the right staff, stuff, systems, and space to provide the care that is needed.