bluuebunny/crossref_metadata_2025 huggingface dataset:
Legislation, segregation, and violence in apartheid-era South Africa
Authors: de Oliveira Viviane
Published: May 2024

The 20th century was a pivotal era in South Africa, deeply affected by capitalist growth and economic interests. The history is characterized by colonization and ongoing segregation, leading to sustained exclusion and denial of rights for indigenous and non-white populations. Existing literature underscores government policies promoting segregation, particularly after the official establishment of apartheid in 1948. The transition to democracy entailed challenges such as rebuilding the economy, reconciling divided ethnic groups, and overhauling institutions. Despite post-apartheid advancements, issues like poverty, inequality, and unemployment remain.
Los organismos internacionales frente al COVID-19. Hacia una agenda de desarrollo sostenible en los casos: Venezuela, México, Brasil y Ecuador
Authors: Cardozo Cororina
Published: May 2024

Sobre la base de una investigación documental de tipo cualitativo, y con perfil teórico, apoyada en la consulta de portales web de organismos internacionales y de noticias, el artículo se propone identificar las orientaciones que brindaron dichos organismos para superar los estragos de la pandemia del COVID-19, mismas que versan en el fortalecimiento del sector público, la priorización del gasto social hacia los más vulnerables y en retomar la agenda de la integración regional a modo de desarrollar modelos productivos sostenibles que conduzcan a disminuir los niveles de pobreza y las brechas de desigualdad.
Sistema multiplataforma para la sistematización productiva de hatos ganaderos bovino
Authors: Sánchez Benítez Elvin Ramón , Suazo Robleto Guadalupe Enoc , Peñalba Berríos David Ernesto , Fernández Obregón Maynor Antonio , López López Axel Josué
Published: May 2024

Un sistema de información a través del registro y almacenamiento de datos es una herramienta útil para el análisis y toma de decisiones. El objetivo de este trabajo es diseñar un sistema multiplataforma que facilite el registro, manejo y toma de decisiones en sistemas productivos ganaderos. Es una investigación no experimental que inicia con un análisis documental para indagar sobre el uso de este tipo de sistemas en fincas pecuarias. Su diseño se basó en la creación de formularios de entrada y salida de datos, su entorno se trabajó con los softwares Figma y Adobe Photoshop. La elaboración de la base de datos y estructura de tablas y campos se desarrolló con la plataforma MySQL utilizando un servidor local apache XAMPP y Wampserver. Los formularios de entradas y salidas de datos, menú, conexión de los formularios, así como la validación y aplicación de seguridad en los formularios y apartados del sistema, se desarrollaron con los lenguajes de programación PHP, JavaScript, JSON, Ajax, HTML, usando la plataforma Adobe Dreamweaver. La construcción del sistema de información ganadero se subdivide en pantalla inicial, inicio de sesión, menú, íconos, interfaces, formularios, módulos de entrada, módulos de salida y reportes. El sistema de información multiplataforma permite sistematizar la información de un sistema de producción a través de tablas, base de datos e interfaz, mediante los lenguajes de programación PHP, JavaScript, JSON, Ajax, HTML y es capaz de registrar, almacenar y procesar datos, siendo una herramienta que permite la toma de decisiones para el seguimiento y manejo de un sistema de producción pecuario.
Nghiên cứu tách chiết caffeine từ hạt cà phê bằng phương pháp trích ly dung môi có hỗ trợ vi sóng
Authors: Trần Quang Ngọc
Published: May 2024

Quá trình trích ly caffeine từ hạt cà phê vối (Coffea robusta) được tiến hành với hai dung môi ethyl acetate và nước có hỗ trợ vi sóng. Dung môi nước cho kết quả trích ly tốt hơn, hiệu suất trích ly caffeine đạt 84% chỉ sau thời gian 40 phút. Hạt cà phê sau khi tách caffeine (cà phê decaf) được rang, xay và tiến hành đánh giá cảm quan. Bước đầu cho thấy cà phê decaf có chất lượng khá tốt.
Từ khoá: Caffeine, Trích ly hỗ trợ vi sóng, Cà phê Decaf
Ảnh hưởng của các loại kích dục tố lên sinh sản của cá đục bạc (Sillago sihama Forsskål, 1775)
Authors: Nguyễn Thị Thu Hằng  , Nguyễn Văn Dũng
Published: May 2024

Nghiên cứu này nhằm đánh giá ảnh hưởng của kích dục tố lên thời gian hiệu ứng, tỷ lệ đẻ, sức sinh sản thực tế, tỷ lệ thụ tinh, tỷ lệ nở, thời gian phát triển phôi và tỷ lệ sống của ấu trùng 5 ngày tuổi của cá đục bạc. Thí nghiệm được tiến hành với 4 nghiệm thức bao gồm: kích dục tố HCG (500 UI/kg cá); LHRHa (20 µg/kg cá); Ovaprim (0,5 mg/kg cá) và đối chứng (không tiêm kích dục tố). Mỗi nghiệm thức được lặp lại ba lần. Kết quả nghiên cứu cho thấy, kích thích sinh sản nhân tạo cá đục bạc bằng HCG cho hiệu quả tốt nhất về thời gian hiệu ứng (36,17 giờ), tỷ lệ đẻ (66,70%), tỷ lệ thụ tinh (64,64%), tỷ lệ nở (70,42%), kích thước ấu trùng mới nở (1,62 mm) và tỷ lệ sống của cá bột 5 ngày tuổi (75,70%) so với các nghiệm thức còn lại (p<0,05). Tuy nhiên, không có sự khác biệt có ý nghĩa thống kê giữa nghiệm thức sử dụng HCG và Ovaprim (p>0,05). Không có sự sai khác có ý nghĩa về thời gian phát triển phôi, kích thước giọt dầu, kích thước noãn hoàng giữa các nghiệm thức (p>0,05). Kết quả cho thấy, sử dụng HCG với liều lượng 500 UI/kg cá cái cho hiệu quả cao trong sinh sản nhân tạo cá đục bạc.
Từ khóa: Cá đục bạc (Sillago sihama), HCG, LHRHa, Ovaprim, sinh sản
“Together, All of Russia Will Unite in One Voice to Glorify God...” The Church Councils of Brest (1596) and Polotsk (1839) and Metropolitan Joseph (Semashko)'s Activities Evaluated by Archpriest John Naumovich (1826–1891), Galician-Russian Educator and Church Figure
Authors: Shevchenko К. V.
Published: May 2024

In the 19th to early 20th century, the ethno-cultural landscape of Eastern Galicia was significantly shaped by the ideological legacy of prominent figures in the local GalicianRussian movement. They advocated   for   the   recognition   of the triune Russian people, comprising Great Russians, Little Russians, and Belarusians. One of the foremost representatives and ideologues of the Galician-Russian movement was Ivan Grigorievich Naumovich (1826–1891), who stood as one of the most eminent public and church figures of Ruthenia. Being a Greek Catholic priest who later converted to Orthodoxy and emigrated from Austria-Hungary to Russia for political reasons, John Naumovich served as a staunch advocate for the GalicianRussian peasantry, holding positions as a deputy in the Galician Sejm and the Austrian Reichsrat. He also spearheaded the 'ritual' movement within the Greek Catholic Church, aimed at safeguarding the Eastern rite from Romanization. Additionally, he played a pivotal role as an educator of the Galician-Russian populace. At the initiative of John Naumovich in 1874, the Mykhailo Kachkovsky Cultural and Educational Society was established in Galicia. This society played a significant role in the advancement of education and the elevation of the economic and cultural status of the Galician Rusyns. In his works, John Naumovich analysed the socio-cultural causes and political prerequisites of the Union, as well as the mechanism of its implementation and its subsequent devastating consequences for the indigenous Orthodox population of Western Russia. John Naumovich regarded the Church Council of Polotsk as a triumph of historical justice—an act of rectifying the tragic consequences of the Church Council of Brest by reuniting the Belarusian Uniates with the “ancestral Eastern Orthodox Church”. Naumovich emphasized the primordial Orthodoxy of “our ancestors” from the time of the christianisation of Rus' until 1596, when the connection of the church in Western Russia “with the Eastern Orthodox Church was broken by uninvited newcomers from the West who imposed the Union on our fathers”. However, as argued by John Naumovich, what was imposed by flattery and violence “by strangers not for the sake of the truth of Christ and the salvation of souls, but for the sake of the love of power of the popes and the political expectations of the Polish Republic, began to crumble after the unification of the Lithuanian-Russian regions of Poland with Russia”. According to John Naumovich, the Uniate church was led by fathers “filled with the apostolic spirit, who opened the eyes of the people and called them to reunification”. In John Naumovich's view, Metropolitan Joseph (Semashko) and his associates were precisely such apostolic fathers, whose efforts led to the reunification of all Western Russian regions with the ancient Orthodox Church.
Enhancing Cardiac Arrest Skills: Exploring Student Nurses’ Journey through Mental Simulation to Self-efficacy
Authors: White Nick , Rumbold James , Garner Iain
Published: May 2024

Objective: This study explores mental simulation (MS) as a potential tool for enhancing skill acquisition and readiness among student nurses in life-saving procedures, particularly in high-stress, time-sensitive situations like cardiac arrest. It aims to investigate the impact of MS on learning life support skills and creating self-officious students in nursing education. Methods: The study combines a theoretical framework grounded in social constructionism with qualitative research methods. We utilize a qualitative reflexive thematic analysis approach. Eleven pre-registration student nurses participated in interview-based investigations after engaging in a 4-week MS program. Data collection utilized open-ended questions, allowing participants to express their experiences and perceptions regarding MS for life support skill acquisition. Results: The research identified six key themes and sub-themes: “Motivation to learn”, “emulating reality”, “emulating real-world intensity”, “emotional resonance”, “harmonizing reflective practice”, and “empowering confidence”. Participants reported using MS to address self-efficacy challenges, creating vivid simulated experiences, inducing real-world intensity, personalizing visualizations, fostering reflective practice, enhancing team understanding, and demystifying cardiac arrest skills, ultimately empowering confidence in employing their cardiac arrest skills. Conclusion: The findings underscore MS’s potential as a valuable training tool in nursing education. MS not only bridges knowledge gaps but also prepares student nurses for real-life scenarios, demystifying cardiac arrests and enhancing self-efficacy. The study advocates for the integration of MS alongside traditional training methods to enhance preparedness and confidence among student nurses in critical life support situations. Further research could explore the broader implications of MS across various healthcare contexts.
Evaluating the Key Roles of Contract Administrators in the Zambian Construction Industry
Authors:   University of Zambia, Mwanaumo Erastus , Kafuta Mulenga ,   University of Zambia, Tembo-Mwanaumo Ethel ,   University of Zambia, Mutono-Mwanza Bupe ,   University of Zambia
Published: May 2024

The nature of the construction contract administrator’s role from project commencement to completion is multifaceted and complex. Additionally, successfully performing the role, requires various skills. Different perspectives exist on what contract administrators do and what competencies are necessary for the day-to-day administration of a construction contract. The aim of the study was to determine contract administrators’ key roles in the Zambian construction industry. This study provides literature that gives an understanding of what role contract administrators should fulfil. Having this knowledge will enable them to carry out their functions effectively and this will foster completion of construction projects within the stipulated conditions of the contracts. This research shows the key roles of a contract administrator at the various stages of construction that are categorised depending on a particular stage of construction. These roles include risk-related, cost, schedule, procurement, integration and resource-related roles.
The Role of Social Media in Promoting Citizen Participation in Zimbabwe's Urban Local Authorities
Authors:   Midlands State University, Masimba Julianos , Rajah Naome ,   Midlands State University, Mutema Edson ,   Midlands State University, Moyo Tanya ,   Midlands State University, Mukunyadze Tinashe ,   Midlands State University, Chikerema Fidelis ,   Midlands State University, Chakunda Vincent ,   Midlands State University
Published: May 2024

Social media is now widely used across the globe having the potential to enhance citizen participation in governance processes. Such platforms include Facebook, Twitter, and WhatsApp amongst others, to be interrogated in this study. The study sought to examine how these social media platforms can be used to enhance citizen participation in Zimbabwe’s urban local authorities using Bulawayo and Harare City Councils as case studies. The two local authorities have a huge footprint on social media. Theoretically, the study was informed by Arnstein’s ladder of participation to explore the use of social media in enhancing citizen participation. The researchers purposively and conveniently selected participants that included the residents, councillors and management. The researchers also reviewed and synthesised comments made on different social media accounts of the two cases. Data were analysed thematically where themes were established to deduce meaning guided by the research questions. Findings show that social media presents a huge potential if embraced to enhance citizen participation for it has a wider audience and also its ability to include young, people which is the larger population, using social media. Challenges associated with the use of social media were also established including the high cost of data in Zimbabwe. Also, these platforms do not go beyond the tokenism stage of the Arnstein ladder of Participation making them less effective. Lastly, recommendations are given on how to strengthen the use of social media in promoting citizen participation.
Complicating the Language of Conventional Nigerian Narratives: The Poetics of the Language of En Okri's Narratives
Authors:   Federal University, Chukwumah Ignatius
Published: May 2024

Nigerian narratives, from Chinua Achebe’s Things Fall Apart (1958) to contemporary ones, have always resorted to the technique of realism by which they seek to make art correspond to life. These narratives were, therefore, metonymic, Roman Jakobson’s manner of describing language standing in for a state of reality. This circumstance persisted until Ben Okri’s mature novels deviated from it through being metaphoric and the deployment of unfamiliar characterisation, settings, action and language. By this deviation, Okri’s narratives seem to have ruptured the metonymic and the concretising literary language traditional to Nigerian narratives, an issue that has remained largely overlooked. Using Roman Jakobson’s linguistics and sundry descriptive methods (since Jakobson’s thought relevant to this study does not exceed metaphor and metonymy), this article teases out the variegated dimensions through which the literary language of Ben Okri’s latter works undermine and complicate the conventional literary language of Nigerian narratives. Focusing on this language, this article analyses, first, the metonymic – the tendency in the language of Nigerian literature and Okri’s earlier narratives to evoke a familiar reality; second, the metaphoric; third, the redefinition of human actions; fourth, the dissonance between the signifier and the signified in signs signifying institutional concepts; fifth, paradoxes; and last, parallelisms. It concludes that with the language of Okri’s later works so tied to his will- to-narrate in a way subversive of the technique of realism, while representing perceived resemblances through related poetic elements and features, he breathes fresh and rich energies into Nigeria’s existing realistic literature as well as flustering critics’ expectations.
O conceito de competência profissional do psicólogo escolar nas produções acadêmicas
Authors: Vinhal Jóice Macedo , Rossi Carla Janaina Trindade Del , Goulart Gislane Scholze Domingues
Published: May 2024

O conceito de competência profissional do psicólogo escolar tem avançado nos documentos normativos e tem sido tema presente em trabalhos acadêmicos. O conceito de competência profissional está relacionado às capacidades, aptidões ou expertises necessárias para a execução de atividades profissionais específicas. Essa ampliação conceitual não se restringe apenas ao conhecimento prático demonstrado na solução de problemas ou na realização de tarefas, pois vai além da mobilização de conhecimentos, habilidades e atitudes. Com o objetivo de identificar o conceito adotado em trabalhos acadêmicos e as metodologias de análise sobre as competências do psicólogo escolar, o presente artigo trata de uma revisão narrativa da literatura, utilizando como base de consulta a Biblioteca Digital de Tese e Dissertações (BDTD). Para isso adotou-se como recorte temporal o período de 2011 e 2021 e como critérios de inclusão as publicações vinculadas a programas de pós-graduação de instituições brasileiras que abordassem a atuação e a formação do psicólogo escolar com foco em competências profissionais. Para a análise das confluências e das divergências foram selecionadas 6 pesquisas, sendo 2 teses e 4 dissertações. Verificou-se como convergência a adoção da perspectiva histórico-cultural, na qual o conceito de competência é ampliado ao considerar aspectos do contexto socioeconômico e afetivo dos sujeitos. Somente um dos trabalhos adotou a concepção de competência profissional voltada ao modelo neoliberal, no qual a formação está focada em atender às demandas de mercado. Como divergências constam a diversidade de delineamentos metodológicos e de instrumentos empregados nas pesquisas. Dentre as técnicas utilizadas estavam entrevistas semiestruturadas, questionários, diários de campo, pesquisa bibliográfica e documental, e pesquisa-intervenção. A pesquisa-intervenção transformou práticas e concepções, e a mediação estética favoreceu processos reflexivos sobre a atuação do psicólogo. A formação continuada foi reafirmada como estratégia para a atuação do psicólogo escolar.
COMPARATIVE EFFICACY OF FERROUS SULPHATE MONOTHERAPY VERSUS COMBINATION THERAPY WITH VITAMIN C IN PEDIATRIC IRON DEFICIENCY ANEMIA: A RANDOMIZED CONTROLLED TRIAL
Authors: NAZ H , ZAFAR Q , JAFFAR M , KHAN KAA , IBRAHIM M , BATOOL S
Published: May 2024

Iron deficiency is the single most common cause of anaemia worldwide. Treatment consists of improved nutrition and oral, intramuscular, or intravenous iron administration. Objective: To compare the outcome of monotherapy with ferrous sulphate and combination therapy with ferrous sulphate and vitamin C in children with iron deficiency anaemia. Methods: This randomised controlled trial was conducted in the Department of Pediatric Medicine, The Children's Hospital and The Institute of Child Health (CH&ICH), Multan, over six months from January 20, 2022, to July 20, 2023. A total of 166 children with iron deficiency anaemia were included in the study. Participants were randomly assigned to two groups: Group A received ferrous sulphate 5 mg/kg/day Fe²⁺ orally on an empty stomach plus vitamin C 6.3 mg/kg/day, while Group B received ferrous sulphate without additional vitamin C. Baseline and post-treatment measurements of haemoglobin, serum ferritin, and mean corpuscular volume (MCV) were taken. Data were analysed using SPSS-20, applying descriptive statistics and Student’s t-test for comparison, with a significance level set at p≤0.05. Results: Of the 166 children, 111 (66.9%) were male, and 55 (33.1%) were female. The mean age was 24.55 ± 16.23 months. Rural residents accounted for 67 (40.4%), and urban residents were 99 (59.6%). Socioeconomically, 100 (60.2%) were from poor backgrounds, and 66 (39.8%) were middle-income. Among the mothers, 81 (48.8%) were illiterate, and 85 (51.2%) were literate. Post-treatment mean haemoglobin levels increased from 11.95 ± 1.02 g/dL to 12.74 ± 0.83 g/dL, serum ferritin levels from 30.73 ± 4.29 ng/mL to 32.87 ± 4.80 ng/mL, and MCV from 70.36 ± 3.81 fL to 74.49 ± 3.59 fL. Conclusion: Combination therapy with ferrous sulphate and vitamin C in pediatric patients with iron deficiency anaemia is well-tolerated and results in significant clinical improvement with minimal adverse reactions. This approach should be considered to enhance clinical outcomes, reduce morbidity, improve quality of life, and decrease healthcare costs.
Narażenie strażaków na substancje chemiczne podczas pożaru
Authors:   Centralny Instytut Ochrony Pracy – Państwowy Instytut Badawczy, Krzemińska Sylwia , Szewczyńska Małgorzata , Jachowicz Anita
Published: May 2024

Oddziaływanie szkodliwych substancji chemicznych, uwalnianych podczas pożarów, powoduje narażenie zdrowia strażaków. Substancje te – zwłaszcza wielopierścieniowe węglowodory aro- matyczne, lotne związki organiczne oraz substancje per- i polifluoroalkilowe – mogą zwiększać ryzyko zachorowania na choroby nowotworowe, co potwierdzają liczne badania. Substancje chemiczne występujące w warunkach pożaru osadzają się w postaci zanieczyszczeń na ze- wnętrznej powierzchni odzieży ochronnej strażaka i przedostają się do wewnętrznych warstw. Z tego względu po przeprowadzonych działaniach ratowniczych odzież ochronna wymaga odpowiedniego czyszczenia, które pozwala na usunięcie znacznej ilości substancji chemicznych oraz zapobiega ich oddziaływaniu na skórę i układ oddechowy. W artykule scharakteryzowano narażenie strażaków na substancje chemiczne (będące produktami spalania i emitowane podczas pożarów) oraz opisano proces czyszczenia odzieży ochronnej z zanieczyszczeń chemicznych.
Enhancing the Syrian Construction Industry through Augmented Reality: Applications and Challenges
Authors:   Building Information Modelling and Management Master Program student at Syrian Virtual University, Syria, Mirna Mirna
Published: May 2024

The Syrian construction industry faces numerous challenges that hinder its efficiency and productivity, including outdated practices and a lack of modern technological integration. This study explores the potential of Augmented Reality (AR) to enhance industry practices through a descriptive analytical approach using surveys and case studies. Key findings indicate a growing awareness and favorable perception of AR among construction professionals, pinpointing substantial benefits such as enhanced project visualization, safety, and resource management. Despite these positives, significant barriers such as technological infrastructure and expertise gaps limit AR's widespread adoption. The study concludes that AR offers significant potential to revolutionize the Syrian construction industry, recommending focused governmental and private sector investment in technological training and infrastructure to leverage these benefits fully. These findings suggest that AR could be pivotal in transforming construction practices in emerging markets like Syria
Anomaly-Based Intrusion Detection Systems Using Machine Learning
Authors:   Department of Computer Science, College of Computer and Information Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia, Alsamir Alsamir ,   Department of Computer Science, College of Computer and Information Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia, AlShaher Hanan
Published: May 2024

With the increased use of the Internet, unauthorized access has increased, allowing malicious users to hack networks and carry out malicious activities. One of the essential modern approaches in today's cybersecurity efforts is the limitation of access by suspect users. In this study, the approach toward real-time intrusion detection was to consider behavioral patterns of past users on the network. We classified the users as two categories: intervention and non-intervention, and employed the machine learning techniques Artificial Neural Networks [ANN], Support Vector Machines [SVM], and Decision Trees [DT]. The Decision Trees model was chosen as it had a mature capability concerning complex pattern recognition and an enhancement capability of the intrusion detection systems. The efficiency of these algorithms is examined via the key performance metrics: confusion matrix, F1-score, and Area Under the Curve [AUC]. Decision Tree, which came up as the best model for both the training and testing phases, produced an outstanding F1-score of 99.96% and AUC score of 99.93% in the testing phase. SVM and ANN gave good results; the F1 scores of SVM and ANN in the testing phase were 92.76% and 93.33%, while the AUC was 90.57% and 94.78%, respectively. This research will enlighten us on the influence of machine learning on the scope of intrusion detection, fostering more development efforts toward more responsive and dynamic intrusion detection systems. The comparative evaluation of these models will help in providing vital information for the further enhancement of cybersecurity strategies, ensuring better defenses against these ever-evolving cyber threats.
Securing the Digital Commerce Spectrum and Cyber Security Strategies for Web, E-commerce, M-commerce, and E-mail Security
Authors:   Associate Professor, Dept. of CSE, School of Computing, MIT Art, Design and Technology University, Pune, Maharastra, India, Savya Savya ,   Associate Professor, Dept of CSE (AI  ML), Sri Venkateshwara College of Engineering  Technology, Chittoor, A.P, India,   Associate Professor, Department of Computer Science and Engineering, GITAM (Deemed to be University), Visakhapatnam, AP, India,   Assistant professor, Department of information technology, L N Mishra college of business management,  muzaffarpur, Bihar, India,   Asst. Professor, Dept. of IT, St. Martin's Engineering College, Secunderabad, Telangana, India,   Assistant Professor, Dept. of Computer Science  Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP, India, Mohanraj R. , Sharada K. , Sachi Savya , Neelima K. , Ramadevi Punyala
Published: May 2024

Secure protection of sensitive data and financial transactions is of the utmost importance in the dynamic world of online trade. In this study, we present a full-stack security architecture that uses five separate algorithms: ECF, Transaction Anomaly Detection, Adaptive Threat Intelligence, Behavioral Biometric Authentication, and Dynamic Encryption Protocol. By creating encryption keys on the fly while the user logs in, the DEP method lays a solid groundwork for safe data transfer. Behavioral biometric authentication (BBA) uses DEP output to verify users based on their distinct behavior, which is an extra layer of security. By combining both current and past threat information, the ATI algorithm is able to constantly adjust security protocols, providing a preventative shield against new dangers. TAD is an expert at detecting anomalies in online purchases, which helps keep financial transactions honest. When ECF and DEP work together, they filter email content, making communication more secure. Flowcharts help to illustrate the interactions between various algorithms, which helps to understand their operations in detail. Every algorithm's importance is brought to light by an ablation study, which shows how each one contributes and how they all work together to affect the overall security posture. The suggested security framework outperforms the state-of-the-art in terms of efficacy, adaptability, and usability, according to performance evaluations conducted using a number of metrics. These findings can help decision-makers build a strong security plan that is specific to the challenges of online shopping. To conclude, the suggested framework is an integrated and complementary strategy that will strengthen online trade in the face of several cyber dangers while simultaneously protecting the confidentiality, authenticity, and availability of all associated communications and transactions.
Fish feeding rate affects the productive performance of whiteleg shrimp and lebranche mullet integrated culture using biofloc technology
Authors: Pereira Ana C. S. , Legarda Esmeralda C. , Martins Mateus A. , Machado Claudia , Magnotti Caio C. F. , Vieira Felipe N. , Arana Luis A. V.
Published: May 2024

Aim of study: To evaluate the effects of different fish feeding rates on the growth performance, water quality, and water microbiology in the integrated culture of lebranche mullet (Mugil liza) and whiteleg shrimp (Penaeus vannamei) using biofloc technology.
Area of study: Southern Brazil.
Material and methods: A 46-day experiment was performed to assess four feeding rates (0%, 1%, 2%, and 3% of mullet biomass) with four replicates per treatment. Shrimp were fed according to a feeding table. Eight-hundred L tanks were used for shrimp culture, while 90 L tanks were utilized for mullet culture, employing recirculation between the tanks through a submerged pump (Sarlo-Better 650 L hour-1).
Main results: Water quality variables and water microbiology, evaluated through bacterial counts, were unaffected by the fish feeding rates (p>0.05). Regarding growth performance, while shrimp were unaffected (p>0.05), mullet final mean weight, biomass, daily growth coefficient, and yield significantly increased with higher fish feeding rates (p<0.05). Mullet feed conversion ratio and survival were not influenced by the feeding management (p>0.05). Furthermore, linear regression models for the overall system productivity showed a positive correlation with the fish feeding rate. As the fish feeding rate increased, the yield of the integrated culture system also increased (p<0.05).
Research highlights: These findings emphasize the importance of considering appropriate feeding rates to maximize the productivity and overall performance of integrated aquaculture systems using biofloc technology.
The Impact of Blockchain Technology: Cross-Border Payments, Digital Currencies, and Financial Risks
Authors: Jiao Yifei
Published: May 2024

This study investigates the transformative potential of blockchain technology in revolutionizing cross-border payments, digital currency development, and mitigating financial risks within the financial sector. The study emphasizes the importance of this technology in addressing the inefficiencies and security vulnerabilities inherent in traditional financial systems, highlighting its significant pivotal role in the academic field of financial technology and blockchain research. To delve into these issues, this study conducted a comprehensive literature review of the latest research results, conducted case studies on the application of blockchain in financial institutions, and compared and analyzed traditional payment systems and blockchain-based payment systems. In addition, the study also utilizes model analysis to understand the influence of blockchain on financial risk administration and the growth patterns of digital currencies like Bitcoin. The research results indicate that blockchain technology greatly improves the security, productivity, and transparency of payments made across borders by decreasing the need for intermediaries and related expenses. Furthermore, the blockchain system facilitates the creation of digital currencies, providing a stable and secure framework. In addition, the Integration of blockchain with financial management processes emerges as a feasible solution to reduce various financial risks, providing a more efficient and secure framework for financial businesses. The results of this study indicate that blockchain technology can serve as a fundamental element for future financial transactions, digital currencies, and risk management, making the financial industry more transparent, secure, and efficient, potentially changing the industry.
Sustainable Supply Chain Management as a Strategic Enterprise Innovation
Authors: Chen Rui
Published: May 2024

Sustainable supply chain management is essential in modern corporate operations due to growing environmental concerns and the demand for sustainable development. This study utilises methods of literature analysis and literature review to examine various elements of sustainable supply chain practices, encompassing sustainable sourcing, innovative logistics and operations, and the integration of modern technologies like Artificial Intelligence (AI), Internet of Things (IoT), and blockchain. The investigations in these areas attempt to understand how they collectively contribute to integrating sustainability into supply chains, hence providing strategic advantages to firms. The findings emphasise that sustainable supply chain management encompasses environmental and social responsibilities, as well as serving as a catalyst for innovation, competitive advantage, and long-term economic viability. This study emphasises the thorough incorporation of sustainability into supply chains and highlights the strategic importance of this integration for market competitiveness and business longevity. The research emphasises the importance of continuous innovation and adaptation in sustainable supply chain processes, advocating for a balanced strategy that aligns economic objectives with environmental conservation.
Navigating the Fashion Landscape: Analyzing Acne Studios Domestic Market Strategy
Authors: Zhu Jie
Published: May 2024

In the dynamic landscape of China's fashion industry, remarkable growth and transformation have been witnessed, fueled by factors such as a rising middle class, increased urbanization, and changing consumer preferences. With a thriving e-commerce sector, rapid adoption of global fashion trends, and a growing appetite for luxury brands, China has emerged as a key player in the global fashion arena. This essay will take a comprehensive look at Acne Studios' strategic approach in the domestic market. And the study delves into the impact of the Acne Studios brand on the global fashion scene since its inception. On the basis of the brand's own glocalization strategy, a combination of case studies, market analyses and some evaluative data is used to reveal the multiple factors that have contributed to the success of acne studios in China. By detailing Acne Studio's journey into the Chinese fashion industry, this study not only provides insights into the market success factors but also presents valuable strategic recommendations for other international fashion brands seeking to capture the Chinese market, thus connecting them to more international fashion exchange opportunities.
Digital Finance, Executive Background and Enterprise Green Innovation
Authors: Tian Xin , Wang Min
Published: May 2024

Digital finance is a combination of digital information technology and finance. Compared with traditional finance, its development can be more efficient to achieve the improvement of the enterprise. Data from Shanghai and Shenzhen A-share listed companies for the period 2011-2020 in China, and matching with 31 provincial data. Regression models were used to analyze the function of digital finance on corporate green innovation and the impact of the senior managers background on its mechanisms. Reached the following conclusion: first, digital finance clearly promotes green innovation in companies. Second, according to the upper echelon theory, the executive background in corporate has a regulatory effect. The higher the rate of managers within companies with background abroad or high-level education, the more digital finance promotes green renovation. Then, based on the results of the study, suggestions were put forward.
The Influence of Corporate and Country-Level Governance on Firm Payout Policies: A Summary of Worldwide Market
Authors: Zhang Chenqijia
Published: May 2024

Since the pandemic in 2020, many firms paused or reduced their dividend payout as shifting to a defense strategy. However, the total dividends payout in the second quarter of 2022 by S&P500 firms is 11.8% more than that in the period of 2021 and share buyback spending is 11.7% higher. Thus, the companys payout policy is still a significant concern for investors. This research summarizes several findings on the interaction of payout policy with corporate governance and with country-level governance and discusses the dependence between these two factors. This research finds that country-level governance is positively related to a firms payout policy, and because of the correlation between firm-level and country-level governance, the interaction between firm-level governance and dividend policy varies with legal strength: in weak legal regimes, stronger corporate governance leads to higher dividend payout, and in strong legal regimes, they correlate in the opposite way, as the shock repurchase is preferred over dividend.
Gold Stock Price Forecasting Based on Nonlinear Weighted Particle Swarm (IPSO) Optimised Support Vector Machine (SVM) Time Series
Authors: Wang Han , Dong Xinqi , Qu Haichen , Liao Jiashu , Ma Danqing
Published: May 2024

The price of gold, as an important precious metal, is highly volatile and uncertain as it is affected by the economic and political situation in the global market. Therefore, forecasting gold price is of great significance for investors, policy makers and economists. In this paper, an algorithm based on nonlinear weight decreasing PSO-SVR univariate time series prediction is proposed for forecasting gold price. The algorithm can help investors, policy makers and firms to understand market trends and price fluctuations and make more informed decisions. The algorithm is based on a nonlinear weighted particle swarm (IPSO) optimised support vector machine (SVM) time series model, which is trained with training set data and validated using test set data. Y-X scatter plots are plotted for the predicted and real values of the training set, and line plots of the predicted and real values of the training set are plotted in the coordinate system, and the results show that the algorithm is able to predict the price of the gold stock well, and the predicted and real values of the price of the gold stock can be very close to each other, both in the training set and the test set. The values of the model evaluation indexes R2, MAE, MBE and MAPE show that the algorithm can predict the gold stock price very well, and the prediction results in the test set do not deviate much from the training set. Therefore, the algorithm can provide useful market information and decision support for investors, policy makers and enterprises.
Strategic Development of China's Cross-Border E-Commerce Industry: A SWOT-PEST Analysis
Authors: Huang Xiujun
Published: May 2024

The prominence of e-commerce in international trade is escalating, marking it as a pivotal sector in China's foreign trade evolution. Cross-border e-commerce (CBEC) China is advancing towards a phase of high-quality development. Nonetheless, the advent of the post-pandemic era and the tendencies towards reverse globalization pose significant challenges to the industry's adaptive capabilities and its sustained growth trajectory. This study employs SWOT-PEST analysis to dissect the strengths, weaknesses, opportunities, and threats facing the industry, against the backdrop of its current status and the overarching macroeconomic environment influencing CBEC China landscape. The analysis reveals that CBEC China benefits politically from an evolving policy and regulatory framework, economically from robust market demand, socially from an increasingly mature cross-border logistics infrastructure, and technologically from advancements in supply chain technologies. Conversely, it faces political challenges from international legal constraints, economic limitations due to inefficiencies hindering economies of scale, a social gap in industry-specific talent, and technological setbacks in international payment settlements. Opportunistically, the "Belt and Road" initiative catalyzes policy-driven economic incentives, digital economy growth presents economic prospects, and the initiative's urban development potential alongside new information technologies offers social and technological advancements respectively. However, threats manifest in the form of anti-globalization sentiments, product homogenization, consumer skepticism towards transaction success, and financial risks exacerbated by currency fluctuation. Through a comprehensive industry analysis, this paper delineates a strategic direction for the future development of CBEC China, aiming to bolster the country's international trade growth.
Implied Volatility Forecasting for American Options Based on Random Forest Regressor, Linear Regression Model
Authors: Liu Chang
Published: May 2024

The research investigates the effectiveness of the Random Forest Model in accurately capturing the volatility of American options, a critical aspect of financial market analysis. Making use of a comprehensive dataset consisting of various parameters such as option prices, strike values, volume, and open interest, the research conducts thorough pre-processing tasks. This involves intricate procedures including feature engineering to extract meaningful predictors, handling of missing values, and ensuring uniform data standardization to facilitate model training. The study proceeds to train random forest models on the accurately processed dataset. Subsequently, the performance of these models is evaluated on a distinct test set to gauge their predictive capabilities accurately. The evaluation involves a comparative analysis between the Random Forest Model and a benchmark Linear Regression Model, employing widely accepted metrics like R^2 and MAPE. The findings underscore the outstanding performance of the Random Forest Model, showing enhanced accuracy and significantly reduced errors compared to the linear regression counterpart, which means Random Forest Model performs better. Furthermore, the study explores deeper into dissecting the strengths and weaknesses inherent in the Random Forest Model, shedding light on its potential applications and limitations in real-world financial scenes. By elucidating these aspects, the research provides valuable insights for practitioners in the field of financial trading and risk management. These findings serve as a significant contribution towards addressing the myriad challenges encountered in financial markets, empowering stakeholders with enhanced decision-making capabilities and more robust risk management strategies.
Investigation into Forecasting Personal Loan Defaults and Managing Risk Using Bayesian Game Theory
Authors: Fan Jingyi
Published: May 2024

Drawing from Bayesian game theory, this research delves into the associated issues of predicting personal loan defaults and managing risks. The precise forecast of personal loan default risk is achieved through the creation of a mathematical model, taking into account partial information and behaviors to avoid risk. The efficacy of this technique in managing risks is confirmed through the examination of empirical evidence and simulated tests. Findings indicate that the Bayesian game theory-based personal loan default forecasting model significantly enhances risk management precision and efficiency, holding substantial guiding importance for financial entities. The research offers a fresh viewpoint and approach to managing the risks associated with personal loan defaults, holding both theoretical and practical importance. The research highlights how technological progress enhances the precision and effectiveness of predictive models. Integrating machine learning techniques with Bayesian game theory paves the way for new methods in analyzing extensive datasets, thus enhancing risk management techniques. This research enhances comprehension of predicting personal loan defaults through Bayesian game theory and also showcases its use in developing stronger risk management systems. This research's consequences are extensive, providing crucial understanding for banks, financial entities, and decision-makers seeking to reduce the hazards linked to individual loans.
Examine the Influence of Non-Economic Factors on Enterprise Performance in Photovoltaic Enterprises by Implementing ESG Practices
Authors: Wang Xirong
Published: May 2024

Chinese domestic enterprises are experiencing rapid development, with financial indicators consistently reaching new heights year after year. However, they also face numerous challenges, including environmental protection. The public is increasingly demanding the disclosure of non-financial information from companies, and the concept of ESG is gradually gaining prominence among the general population. This paper explores the impact of ESG practices on corporate performance through vertical market and financial performance analysis, employing case analysis method. By conducting a horizontal photovoltaic enterprise performance analysis, the author investigates how ESG performance influences the overall functioning of photovoltaic enterprises while also examining the influence of non-economic factors on corporate performance. Ultimately, it is concluded that ESG has a positive effect on a company's comprehensive development and corporate performance. Embracing ESG principles guides an organization's investment direction towards promoting sustainable development which subsequently leads to long-term benefits for the enterprise. Highlighting this positive developmental attitude showcases an enterprise's efforts and effectiveness in achieving its own comprehensive growth; thus becoming an important indicator for attracting investments. With increasing attention towards ESG, companies adhering to it are more likely to gain trust and support from investors which ultimately facilitates corporate financing and enhances market value management.
Paying Well by Paying for Good? A Review of ESG-Linked Compensation Research
Authors: Yin Yulin
Published: May 2024

ESG, as values in the global sustainable transformation, drives technology, societal and institutional innovation and its uncertainty influence corporates strategic management and operation activities. Incorporating ESG metrics in executive compensation has become a trend of corporate governance for global companies in recent years. First, this paper theoretically reviews internal and external factors of the ESG-linked compensation incentives, analyses the specific governance mechanism. On this basis, this paper summarises ESG performance and corporate financial performance incurred by ESG pay. Lastly, this paper puts forward future extensive research direction and provides references for subsequent research. Specifically, governance effect by ESG-linked compensation needs to consider institutional feature (developing country and developed country). The consistency between carbon emission policy and economic development determines that ESG performance is limited by the economic development stage and industrial structure of the country. This review contributes to construct analysis framework by Governance Incentives Governance Mechanism Governance Effect to conclude general rule and future research prospect of ESG pay.
Risk Measurement and Portfolio Optimization Based on NASDAQ 100
Authors: Wu Yue
Published: May 2024

This paper analyzes the historical data of the NASDAQ 100 stock pool to understand the historical performance of specific stock weights, so as to optimize the investment portfolio and explore optimization methods to better avoid the financial risks brought by market fluctuations. This paper mainly uses mathematical statistics principle and mathematical model to quantify the possibility and influence degree of risk occurrence, and adopts value at risk (VaR), conditional value at risk (CVaR), maximum retracement (MD) and other analysis indicators. This paper will take the top 20 stocks by market capitalization in NASDAQ 100 index as the stock pool to analyze and judge the future return risk of different stock weighted asset portfolios. The ultimate goal of risk analysis is to control risks more effectively. Once risks are identified and quantified, investors can take corresponding risk management measures. Therefore, when calculating the risk of a certain portfolio, this paper will find the corresponding portfolio weight according to different situations, so as to optimize the portfolio. As a result, different optimization methods have made progress in different aspects. Among them, the optimization method of E[X]-CVaR is the best for the stock index, and its optimization results can obtain the maximum return and the future risk is minimal.