bluuebunny/crossref_metadata_2025 huggingface dataset:
Hemşirelik Bölümü Birinci Sınıf Öğrencilerinin Mesleki Algıları: Nitel Bir Çalışma
Authors: Gökçen Gökalp Mücahide , Kilci Erciyas Şeyma , Demir Fatih
Published: December 2024

Amaç: Bu çalışma, hemşirelik birinci sınıf öğrencilerinin mesleki algılarını belirlemek amacıyla yapılmıştır.
Yöntem: Çalışmada nitel; fenomenolojik yöntem kullanılmıştır. Örneklemi 2022-2023 eğitim öğretim yılı bahar döneminde birinci sınıfta öğrenim gören 15 hemşirelik öğrencisi oluşturmuştur. Veriler, “Öğrenci Tanıtım Formu” ve meslek algısını belirlemek için "Yarı Yapılandırılmış Görüşme Formu" ile toplanmış, araştırmacılar tarafından betimsel analiz ve içerik analizi yöntemiyle konu ile ilgili temalar belirlenmiştir.
Bulgular: Öğrencilerin yaş ortalaması 18,8 olup, %66,7’si kadındır. Öğrencilerin çoğunluğu çekirdek ailede (%80) ve Karadeniz bölgesinde (%33,3) yaşamaktadır. Verilerin analiz edilmesiyle 4 ana tema elde edilmiştir. Araştırmanın sonucunda ortaya çıkan ana temalar; kişisel meslek algısı, toplumsal meslek algısı, hemşirelik mesleğinin geleceği, mesleğin gelişimi şeklinde olmuştur. Öğrencilerin en çok “insanlara yardım etme isteği nedeniyle” hemşirelik mesleğini seçtiği belirlenmiştir.
Sonuç: Öğrenciler hemşireliği çoğunlukla iş imkânı çok olan ve insanlara bakım sağlayan bir meslek olarak tanımlamış, teknolojik gelişmeler ile mesleğin geleceğinin etkileneceğini belirtmiştir. Öğrenciler ayrıca hemşirelik alanındaki gelişmeler için yasa ve kanunların olmasını, yeni çalışmaların yapılmasını ve meslekte branşlaşma ile dijital hemşirelik uygulamalarının yaygınlaştırılması gerektiğini savunmuşlardır. Bu sonuçlar hemşirelik mesleğine yönelik olumlu algıların oluştuğunu göstermektedir ve sonuçlar hemşirelik mesleğinin gelişimi için oldukça önemlidir.
Legal Aspects of Unmanned Warfare and Military Drone Operations
Authors: Kowalczewska Kaja
Published: December 2024

The evolving landscape of warfare has been transformed by the technological advancement of unmanned platforms. The use of drones has facilitated the remote execution of military operations, allowing armed conflict to achieve a global and presumably selective scope through sophisticated technological organisation. Nevertheless, the past two decades of mainly American practices have revealed that so-called “precision warfare” poses novel ethical and legal challenges. Despite the multifaceted roles played by contemporary military robots, especially in scenarios where they replace human combatants and execute lethal actions, comprehensive legal scrutiny is imperative. Although unmanned platforms do not attain the same level of autonomy as military systems enabled by artificial intelligence, they still present challenges. In the case of unmanned platforms, the contentious aspects predominantly relate to their methods of employment rather than the inherent illegality of this means of warfare. This chapter critically dissects the legal complexities surrounding these technological innovations, distinguishing drones from autonomous weapons and examining their deployment methods and the relevant legal framework. Key issues include the necessity for legal review of weapons before deployment, the use of unmanned platforms beyond the theatre of active armed conflict, and contentious combat methods such as targeted killings and signature strikes. While predominant discussions centre on U.S. drone warfare, this chapter incorporates a European perspective where relevant, highlighting the need for harmonisation of democratic standards.
Selected Legal Aspects of National Security and Critical Infrastructure Pro¬tection in the European Union with Particular Reference to the Polish National Legislation
Authors: Ocieczek Grzegorz
Published: December 2024

In the current geopolitical scenario, ensuring national security and the protection of critical infrastructure seem to be key elements for upholding the proper functioning of a state and, consequently, the safety of its citizens. This paper addresses issues related to the protection of critical infrastructure in territory of the European Union (EU). Particular attention is paid to issues regarding legal solutions to ensure the security of EU member states. EU directives concerning the immunity of critical entities (CER) and issues related to ensuring a high level of cybersecurity in the territory of the EU (NIS 2) are discussed. The paper is divided into several main parts, which, in addition to the above-mentioned issues regarding the legal aspects of critical infrastructure protection, also address security (e.g. types and divisions) and terrorism (e.g. the most important legal acts aimed at counteracting this very dangerous phenomenon is indicated). This study also discusses the European Security Strategy (2020–2025) and its most important objectives regarding the security of critical infrastructure, anti-terrorism, cybersecurity, and the protection of public spaces. Regarding national security, the paper discusses the various national security strategies from 1990 to the present in Poland, showing that the strategies pay particular attention to the changing approaches to security, the assessment of the current situation at the time and threats involved, and the increasing need to ensure the protection of critical infrastructure. The publication ends with conclusions and postulates regarding the need to ensure national security and increase the protection of critical infrastructure.
Legal Aspects of Dual-Use Technologies: Emerging and Disruptive Technologies
Authors: Székely János
Published: December 2024

This chapter aims to address the problem presented by governance regimes applicable to the dual (civilian and military) use of emerging and disruptive technologies such as artificial intelligence and biotechnology. The author first examines the definition of “dual use” as it emerges from various unilateral and multilateral governance instruments. As several definitions currently coexist, “dual use” is found to constitute a fuzzy notion, requiring clarification in further regulation and application. The major regimes governing dual-use technology proliferation and trade are presented with an emphasis on the role of securitisation in determining the applied regulatory approach and content. The technological and economic rivalry between the United States of America and the People’s Republic of China was found to have a defining role in the current transformation of such governance regimes to the detriment of free trade. Subsequently, the problems posed by artificial intelligence, biotechnology, and 5G broadband data transfer were examined in light of dual-use technology regulation, with conclusions presented regarding the future desirable development of the regulatory environment.
The Future of Distance Education: Exploring the Potential of Adaptive Learning Systems
Authors: Kandemir Bülent , Taşkın Necati
Published: December 2024

Adaptive learning technologies are used in many areas of education, including online distance learning. This study investigates the applications of Adaptive Learning technology in distance education environments. Following the steps of systematic literature review and using bibliometric analysis, the study examines a total of 1071 publications. Accordingly, time trend analysis has increased steadily within recent years, and Educational Research, Computer Science, and Engineering are the leading subject areas in research on Adaptive Learning in distance education. China and USA are the countries that make the most of the contribution, followed by Taiwan, Spain, and India. Kinshuk is the author who contributed the most, followed by Caballé and Santi. The most collaborative authors are Capuano and Nicola, Ritrovato and Pierluigi, Cabelle and Santi, and Gaeta and Matteo. Pierri and Anna hold central positions in the co-authoring network. The top three journals with the most publications are Computers & Education, International Journal of Distance Education, and Academic Medicine, all with significant citation counts. The most frequently used keywords are “e-learning”, followed by “adaptive learning”, and “online learning”. Integrating artificial intelligence and machine learning techniques presents significant potential for enhancing adaptive learning technologies. Utilizing frameworks such as learning analytics and the Technology Acceptance Model can help identify effective strategies to increase system acceptability.
Pendekatan Pembelajaran Terpadu dalam Pendidikan Agama Islam: Studi Kasus di Sekolah Dasar
Authors: Baher Maylia Khairunnisa , Pahrudin Agus , Jatmiko Agus , Koderi Koderi
Published: December 2024

Pendekatan Pembelajaran Terpadu dalam Pendidikan Agama Islam: Studi Kasus di Sekolah Dasar
Penelitian ini bertujuan untuk menganalisis penerapan pendekatan pembelajaran terpadu dalam mata pelajaran Pendidikan Agama Islam (PAI) di sekolah dasar serta dampaknya terhadap pemahaman dan sikap keagamaan siswa. Pendekatan pembelajaran terpadu dipilih sebagai alternatif untuk menciptakan proses belajar yang lebih holistik, di mana berbagai mata pelajaran dikaitkan untuk membangun pemahaman yang lebih mendalam dan relevan bagi siswa. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan desain studi kasus. Data dikumpulkan melalui observasi, wawancara dengan guru PAI, dan analisis dokumen terkait. Hasil penelitian menunjukkan bahwa pendekatan pembelajaran terpadu dalam PAI berhasil meningkatkan minat belajar siswa, memudahkan mereka memahami konsep agama yang abstrak, serta membentuk sikap keagamaan yang lebih positif. Beberapa model pembelajaran terpadu yang diimplementasikan antara lain integrasi tematik dan proyek kolaboratif yang melibatkan tema keagamaan dalam aktivitas sehari-hari siswa. Namun, penelitian ini juga menemukan beberapa kendala, seperti keterbatasan waktu dan kebutuhan akan pelatihan guru dalam menerapkan pembelajaran terpadu secara efektif. Temuan ini memberikan implikasi praktis bagi pendidik dalam merancang pembelajaran agama Islam yang lebih interaktif dan terintegrasi, serta memberikan kontribusi bagi pengembangan teori pembelajaran terpadu dalam konteks pendidikan agama. Penelitian ini merekomendasikan perlunya studi lanjutan untuk memperdalam kajian tentang efektivitas pendekatan terpadu pada berbagai jenjang pendidikan dan konteks budaya.
Pengaruh Realitas Virtual dan Kompetensi Pelatih terhadap Laporan Individu pada Kecemasan Wicara Publik
Authors: Frizdew Michiko Jamilah , Rumyeni Rumyeni , Daud Afrianto
Published: December 2024

Penelitian ini bertujuan untuk menguji pengaruh pelatihan wicara publik berbasis realitas virtual (RV) dan kompetensi pelatih terhadap penurunan kecemasan berbicara siswa di SMK Bina Profesi Pekanbaru. Kecemasan berbicara di depan umum merupakan masalah yang sering terjadi dan dapat mempengaruhi performa siswa. Penelitian menggunakan metode eksperimen desain true experiment dengan jenis pretest-posttest only control group design. Sampel penelitian terdiri dari 98 siswa, yang dibagi menjadi kelompok eksperimen (pelatihan RV) dan kelompok kontrol (tanpa pelatihan RV). Pengukuran kecemasan berbicara siswa dilakukan dengan menggunakan skala Personal Report of Public Speaking Anxiety (PRPSA). Hipotesis diuji dengan teknik statistik Difference-in-Difference. Hasil penelitian menunjukkan bahwa pelatihan berbasis RV tidak memberikan pengaruh signifikan terhadap penurunan kecemasan berbicara siswa. Selain itu, variabel waktu juga tidak memberikan pengaruh yang signifikan, serta interaksi antara waktu dan pelatihan tidak menunjukkan efek signifikan terhadap kecemasan berbicara siswa. Kompetensi pelatih juga tidak ditemukan berpengaruh signifikan terhadap penurunan kecemasan berbicara siswa. Simpulan dari penelitian ini adalah bahwa meskipun teknologi RV memiliki potensi untuk menciptakan lingkungan latihan yang aman, pelatihan berbasis RV dan kompetensi pelatih tidak berpengaruh signifikan dalam menurunkan kecemasan berbicara siswa. Penelitian lanjutan diperlukan untuk meneliti variabel lain yang mungkin lebih berperan dalam mengurangi kecemasan berbicara.
A comprehensive review of paratuberculosis in animals and its implications for public health
Authors: Meles Dewa , Mustofa Imam , Khairullah Aswin , Wurlina Wurlina , Mustofa Rheza , Suwasanti Niluh , Akintunde Adeyinka , Putra Satriawan , Kusala Muhammad , Moses Ikechukwu , Wibowo Syahputra , Raissa Ricadonna , Fauzia Kartika , Abdila Syafiadi , Yanestria Sheila , Fauziah Ima
Published: December 2024

Paratuberculosis is an infectious disease caused by Mycobacterium avium subspecies paratuberculosis (MAP). Typically, ruminant animals including cattle, buffalo, goats, and sheep are infected with MAP. Animals get infected with MAP in a number of ways, such as by eating or drinking contaminated food or water, or by nursing from an infected mother who may have contaminated teats or directly shed the organism in milk or colostrum. Animal-derived goods like meat, dairy, and tainted surface water have the potential to spread paratuberculosis through zoonotic transmission. Reports of paratuberculosis have been received from United States, Oceania, Asia, and Africa, in addition to several European nations like Germany, Italy, and France. Paratuberculosis pathology is characterized by chronic lymphangitis, chronic enteritis, or mesenteric lymphadenopathy. In animals, wasting and watery green diarrhea are the major signs. There are two kinds of paratuberculosis diagnostic tests that are available; the goal of the first set of tests is to identify MAP while the second set consists of immunological tests. Due to similar clinical signs, some forms of the illness, such as wasting and watery green diarrhea, may be mistaken for paratuberculosis. Crohn's disease has been linked to M. avium subsp. paratuberculosis as the etiological culprit in humans. To prevent the infection from spreading to uninfected animal populations, drastic measures must be implemented. Despite the economic burden of paratuberculosis, research aimed at developing therapeutic medicines is focused on public health rather than veterinary uses. This review therefore focuses on a comprehensive detail of paratuberculosis in animals, including its public health implications and economic impact.
Potency of anti-trematode in inhibiting cathepsin-2L and cathepsin-5L of Fasciola gigantica using homology, docking, and molecular dynamics
Authors: Vanda Henni , Athaillah Farida , Sari Wahyu , Frengki Frengki , Nurliana Nurliana , Hambal Muhammad
Published: December 2024

Background:
Cathepsin-L (FhCL) is a group of enzymes that most flukes express and secreted significantly in parasite-host interactions. Researches are focusing on antigens released by Fasciola gigantica as one of the keys for understanding immunologic pathway in parasite infection and targets for anthelmintics. Efforts to suppress FhCL function through vaccination or therapy using anthelmintic drugs are key factors in controlling field level trematode infections. A molecular docking method can be used to observe the interaction between FhCL and some anthelmintic drugs to better understand the effect of these anthelmintics on FhCL. Furthermore, it is necessary to carry out molecular dynamics method to observe the dynamic pattern of the interaction of the enzyme-ligand when the dynamics simulation is in progress.

Aim:
This study was carried out to screen six commercial anthelmintic drugs against cathepsin-2L (FhCL-2) and cathepsin 5L (FhCL-5) using in silico and molecular dynamics approach.

Methods:
The three-dimensional (3D) crystal structure of FhCL-2 and FhCL-5 enzymes were constructed based on the crystal structure of ProCathepsin 1L (pdb id. 2O6X) as a template, while six anthelmintic agents (“SMILES” format) were downloaded from PubChem and converted to 3D format using the MOE Builder tool. The enzyme modelling results were evaluated using the "Ramachandran Plot".

Results:
Molecular docking results showed that all tested ligands had affinity for FhCL-2 and FhCL-5. The best ∆Gbinding value for FhCL-2 was clorsulon ligand (-15.21 kcal/mol) with pKi of 32.25 µM, which was significantly different compared to other drugs (p<0.05). For FhCL-5, the best ∆Gbinding value was closantel ligand (-14.88 kcal/mol) with pKi of 31.51 µM, significantly different from other drugs tested (p<0.05). The results of the molecular dynamics simulation for the two ligands showed a strong and stable interaction at their respective binding sites.

Conclusion:
All of the tested anti-trematode ligands had potency as inhibitors for FhCL-2 and FhCL-5 enzymes of F. gigantica, and the best candidate for FhCL-2 was clorsulon, and for FhCL-5 was closantel. This finding is useful as an approach to develop novel drugs from existing drugs as inhibitors for FhCL-2 and FhCL-5 enzymes.
Effectiveness of gaseous ozone on Arcobacter butzleri and bacterial loads on retailed meat sold at Iraqi Wasit markets
Authors: Kanaan Manal
Published: December 2024

Background:
Ozone (O3) is a promising alternative antibacterial agent that has recently been used in meat processing. The understanding of the appropriate functional settings of O3 for addressing food safety problems is still insufficient.

Aim:
The aim of this study was therefore, to investigate the effects of exposure to O3 on the bacteriological quality of retail meat inoculated with Arcobacter butzleri at refrigeration temperatures.

Methods:
Chicken and cattle meat were inoculated with 7 log CFU/g of A. butzleri previously isolated from fresh and chilled retail meat. Using an O3 generator (Ivation, Multipurpose Air Sterilizing, USA), the meat samples were treated with O3 gas (0.5 ppm) for 20 and 40 minutes at temperatures ranging from 3 to 7°C for 48 hours. Anaerobic and aerobic bacterial growth, as well as A. butzleri were assessed.

Results:
The growth rates of A. butzleri, total aerobic bacteria, and anaerobic bacteria in chilled meat samples were all slowed significant reduction by 0.75, 1.13, and 0.7 log CFU/g, respectively, when exposed to O3 gas (p ≤ 0.05). Compared to control samples kept at 3–7 °C for further 24 hours, the decrease was greater with an additional exposure time of 20 minutes. In contrast to the samples that did not appear to be exposed to O3, the total bacterial count of the samples exposed to ozone showed a statistically significant reduction (p ≤ 0.01) compared to the samples that were not exposed to ozone. This decrease is important for the health of the population.

Conclusion:
This study explored the use of O3 experience as a potential antibacterial agent for meat and meat products stored in refrigerator. The results of this research may support further applications of O3 exposure, such as the installation of an O3 generator inside a refrigerator. However, further research is needed on O3 levels and exposure durations.
Utilization of endophytic bacteria for liquid biofertilizer production with a newly designed prototype fermenter for sustainable agriculture
Authors: Ahmed Tanweer , Rahman Md , Rokanuzzaman Rokanuzzaman , Ghosh Sibdas , Rahman Aminur , Hasan Md , Haque Md
Published: December 2024

Cost-effective and eco-friendly approaches are highly desirable for sustainable agriculture.
Endophytic bacteria are a promising source of sustainable agricultural production. The study aimed to develop a prototype fermenter and utilization of endophytic bacteria for liquid biofertilizer production. In this study, we developed a novel prototype fermentor for large-scale production of biofertilizers comprised of a consortium of plant growth-promoting endophytic bacteria. The fermentor was designed to integrate a temperature control unit, a heating unit, a heated water circulation unit, and a microbial growth unit, ensuring precise control of temperature and agitation, providing a conducive environment containing an affordable medium for the proliferation of single endophytic bacterium, or consortium of endophytic bacteria. The capacities of the fermentor revealed that the temperature of the growth medium could be elevated from 29°C to 37°C within 50 minutes at varying rotation speeds of 60 rpm, 75 rpm, or 90 rpm, securing uniform temperature distribution for optimum growth of the consortia. Each consortium's average growth rate (2.25 OD) was recorded after 48 hours. Furthermore, the system efficiently returned to the initial temperature of 29°C from 37°C within 4.5 hours and maintained a temperature around 35°C to 37°C during a brief period (~70 minutes) of power outage. We present a novel fermentor, facilitating the large-scale production of plant growth-promoting endophytic bacteria that presents new insights for enhancing sustainable organic agricultural research and industrial applications.
Mathematical Modelling of Hydrogen-Enriched Combustion
Authors:   Faculty of Materials, Metallurgy and Recycling, Institute of Recycling Technologies, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia, Pauerová Katarína , Dzurňák Róbert ,   Faculty of Materials, Metallurgy and Recycling, Institute of Metallurgy, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia, Staško Šimon , Demeter Jaroslav , Kizek Ján ,   Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Process Technique, Bayerova 1, 080 01 Prešov, Slovakia
Published: December 2024

This article presents a mathematical model developed in ANSYS CFX 17.2 software to analyse the combustion process of hydrogen-enriched natural gas. The study investigates the concentrations of various flue gas components at hydrogen enrichments of 10% and 20%, compared to a baseline of pure natural gas. A three-dimensional model of the experimental setup was created allowing for detailed simulation of combustion dynamics under controlled conditions. The model incorporates the governing equations for mass conservation, momentum, energy, and turbulence, facilitating comprehensive analysis of combustion behaviour and pollutant formation. The simulations reveal that increased hydrogen enrichment raises combustion temperatures but also leads to higher carbon monoxide (CO) emissions due to incomplete combustion. The results indicate a corresponding decrease in carbon dioxide (CO₂) emissions, showcasing the environmental implications of hydrogen mixing. However, nitrogen oxide (NOx) emissions increase significantly with higher combustion temperatures. The mathematical model was validated against experimental data, demonstrating less than 10% deviation in temperature measurements and providing accurate predictions for pollutant concentrations.
ECONOMIA CIRCULAR: MODELO DE NEGÓCIO BASEADO EM UPCYCLING PARA A INDÚSTRIA TÊXTIL
Authors: Velásquez Rocio Quinones , Penha Pedro Xavier da
Published: December 2024

A indústria têxtil, embora essencial para a economia, é caracterizada por um alto consumo de recursos e uma significativa geração de resíduos, o que exige soluções para mitigar seus impactos ambientais. Diante desse cenário, o presente estudo tem como objetivo apresentar um modelo de negócio que utiliza a técnica de upcycling para transformar resíduos têxteis em produtos sustentáveis. A partir da coleta de retalhos de uma empresa em São Carlos-SP, foram desenvolvidos novos produtos, como bolsas, acessórios, roupas e utensílios de decoração, reduzindo a quantidade de resíduos destinados a aterros sanitários e, dessa forma, alinhando-se aos princípios da economia circular. Por meio de uma metodologia de pesquisa-ação, o modelo de negócio baseado em upcycling foi implementado de modo prático. Os resultados da pesquisa demonstram o potencial da técnica como uma estratégia de negócios que contribui para a redução de resíduos têxteis e na promoção de um consumo mais consciente e sustentável.
ПРАВОВОЕ РЕГУЛИРОВАНИЕ ЭКОНОМИКИ: ПОТЕНЦИАЛ ПУБЛИЧНОГО И ЧАСТНОГО ПРАВА
Authors: С.А. Петракова
Published: December 2024

Цель данной статьи заключается в изучении потенциала публичного и частного права в регулировании экономики. Показано, что наиболее эффективным экономическим механизмом реализации экономических интересов является рынок, однако на практике, рынок не является совершенным механизмом регулирования интересов и порождает «провалы», исправить которые позволяют механизмы правоприменения. Право выполняет функцию деперсонализованного механизма, обеспечивающего устойчивое функционирование рыночной экономики. Сделанный анализ подтверждает, что каждая отрасль права играет уникальную роль в механизме экономического регулирования, решая специфические задачи. Применение потенциала публичного и частного права позволяет эффективно согласовывать экономические интересы различных субъектов. Так, публичное право выполняет функции защиты общественных интересов, тогда как частное право обеспечивает возможности для реализации индивидуальных экономических интересов участников рынка. Обосновано, что правовое регулирование доказало свою значимость в снижении трансакционных издержек и согласовании разнообразных экономических интересов. В рамках выполнения функций публичного права государство создает прозрачную и понятную правовую среду, одновременно обеспечивая соблюдение частных обязательств и правовых гарантий. Таким образом, потенциал публичного и частного права позволяет создавать институциональные механизмы, которые обеспечивают защиту экономических интересов различных субъектов и способствуют устойчивому развитию экономических систем.

The purpose of this article is to explore the potential of public and private law in regulating the economy. It is shown that the most effective economic mechanism for the realization of economic interests is the market, however, in practice, the market is not a perfect mechanism for regulating interests and generates "failures" that can be corrected by law enforcement mechanisms. Law performs the function of a depersonalized mechanism that ensures the sustainable functioning of a market economy. The analysis confirms that each branch of law plays a unique role in the mechanism of economic regulation, solving specific tasks. The use of the potential of public and private law makes it possible to effectively coordinate the economic interests of various subjects. Thus, public law performs the functions of protecting public interests, while private law provides opportunities for the realization of individual economic interests of market participants. It is proved that legal regulation has proved its importance in reducing transaction costs and coordinating various economic interests. Within the framework of performing the functions of public law, the State creates a transparent and understandable legal environment, while ensuring compliance with private obligations and legal guarantees. Thus, the potential of public and private law makes it possible to create institutional mechanisms that protect the economic interests of various actors and contribute to the sustainable development of economic systems.
ПРОБЛЕМЫ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РЕГИОНА В УСЛОВИЯХ ЦИФРОВИЗАЦИИ
Authors: А.В. Ершов
Published: December 2024

Целью статьи является выявление проблем обеспечения экономической безопасности региона в условиях цифровизации, а также определение направлений работы по их преодолению. Анализ выявил ряд проблем, влияющих на экономическую безопасность регионов, основными из которых являются ресурсные ограничения. В статье делается вывод, что существующие методологические подходы к обеспечению безопасного и устойчивого развития регионов на долгосрочную перспективу утрачивают свою актуальность. Их неспособность интегрировать экономические потребности региональных субъектов с процессами планирования и реализации цифровых проектов может привести к неэффективному внедрению таких технологий, как искусственный интеллект (ИИ), большие данные (Big Data), облачные технологии, интернет вещей (IoT), блокчейн и других. Согласно выводам исследования, достижение желаемых результатов в области экономической безопасности требует гармонизации федеральных и региональных приоритетов, а также построения системы взаимодействия, основанной на приобретаемых компетенциях и опыте. Экономически безопасное и устойчивое развитие региона должно основываться на выявлении, предотвращении и устранении потенциальных угроз, глубоком анализе причин их возникновения и эволюции. Важным аспектом также является новое качество управления региональной экономикой, способствующее социально-экономическому развитию, что обеспечивает успешность и эффективность принимаемых решений.

The purpose of the article is to identify the problems of ensuring the economic security of the region in the conditions of digitalization, as well as to determine the directions of work to overcome them. The analysis reveals a number of problems affecting the economic security of regions, the main of which are resource constraints. The article concludes that the existing methodological approaches to ensuring the safe and sustainable development of regions in the long term are losing their relevance. Their inability to integrate the economic needs of regional entities with the processes of planning and implementation of digital projects may lead to inefficient implementation of such technologies as artificial intelligence (AI), big data (Big Data), cloud technologies, Internet of Things (IoT), blockchain and others. According to the findings of the study, achieving the desired results in the field of economic security requires harmonization of federal and regional priorities, as well as building a system of interaction based on acquired competencies and experience. Economically secure and sustainable development of the region should be based on the identification, prevention and elimination of potential threats, in-depth analysis of the causes of their emergence and evolution. An important aspect is also a new quality of management of the regional economy that promotes socio-economic development, which ensures the success and effectiveness of decisions.
Servicios de apoyo de las bibliotecas universitarias a la investigación
Authors: Morillas José Luis Herrera
Published: December 2024

El objetivo del trabajo es recopilar y analizar los recursos de apoyo elaborados por las bibliotecas universitarias españolas para orientar y ayudar al profesorado en los trámites de solicitud de los sexenios de investigación, que requieren considerable trabajo bibliométrico. Se analizan los sitios web de 47 bibliotecas de universidades de titularidad pública españolas. Se crea una plantilla en Excel como herramienta de trabajo que facilite la recogida y el análisis de la información, formada por 5 columnas: denominación y ubicación, dirección de acceso (URL), tipo de acceso, formato, contenido. Entre los resultados mencionamos que el 78,7 % de las bibliotecas analizadas han elaborado recursos sobre sexenios-convocatoria 2023, en el 21,2 % no hemos localizado ninguno; también constatamos los cinco contenidos más frecuentes y que entre los formatos empleados para los recursos sobresalen las biblioguías (56,7 %). De las conclusiones destacamos el esfuerzo realizado por las bibliotecas universitarias españolas de titularidad pública para hacer frente a los importantes cambios adoptados en la convocatoria de 2023, pues están presente en más de la mitad de las bibliotecas analizadas; también que el estudio ha permitido tener conocimiento de las diferentes propuestas de apoyo a la petición de sexenios de investigación CNEAI-convocatoria 2023 y precisar sus características, constatando la diferencia en cuanto a la riqueza y variedad de contenidos. De este modo, se hace notar un primer grupo formado por cuatro bibliotecas y un segundo grupo compuesto por siete bibliotecas. Esta investigación podría continuar en un futuro comprobando el uso por parte de los profesores-investigadores de estos recursos y la opinión que les merece.
Управління персоналом готельно-ресторанних підприємств під час війни: збереження кадрів та мотивація
Authors: Канцур І. Г. , Пастух А. О.
Published: December 2024

Актуальність теми управління персоналом в умовах війни в Україні є критично важливою для стабільності готельно-ресторанної індустрії. Мета дослідження полягає у вивченні ефективних стратегій збереження кадрів та мотивації працівників у цей непростий період. Дослідження базується на аналізі гнучких моделей роботи, індивідуального підходу до персоналу, а також надання психологічної підтримки. Встановлено, що використання гнучких графіків роботи, ротаційних змін, дистанційної роботи та особистих планів розвитку сприяє підвищенню задоволеності працівників. Розроблено рекомендації щодо впровадження програм психологічної підтримки, які знижують стрес і емоційне навантаження на співробітників. Охарактеризовано позитивний вплив індивідуального підходу на відданість працівників, їхню мотивацію та продуктивність. Визначено, що важливим елементом управління персоналом під час воєнного стану є впровадження мотиваційних схем, які забезпечують комплексний підхід до підтримки працівників у готельно-ресторанному бізнесі, сприяючи їхньому розвитку, залученню до команди та поліпшенню умов праці, підкреслюючи при цьому важливість соціальної відповідальності, здоров'я та командної роботи, що є критично важливими в умовах в стану. В результаті дослідження встановлено, що управління персоналом в умовах війни потребує комплексного підходу, що дозволяє не лише зберегти кадри, але й підтримувати їх мотивацію і продуктивність на високому рівні. Теоретичне значення дослідження полягає у систематизації підходів до управління персоналом у кризових умовах. Практичне значення полягає в можливості застосування отриманих результатів у готельно-ресторанній індустрії для покращення управлінських практик. Оригінальність дослідження полягає у комплексному аналізі факторів, що впливають на мотивацію працівників під час війни. Перспективами подальших досліджень є вивчення специфіки управління персоналом в різних регіонах України, а також вплив соціально-економічних умов на мотивацію працівників. Тип статті – теоретична.
Harnessing Technology for Enhanced Efficiency in Supply Chain Operations
Authors: Mulla Faiz Mohiuddin
Published: December 2024

The international supply chain environment is quickly changing due to innovations that are reinventing not just the
method companies operate. Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, And Automation are
some technologies that change the supply chains with more efficiency, better decisions, and live views. The
technologies simplify processes like inventory management, demand forecasting, order fulfillment, and logistics
optimization, which can keep businesses ahead of the competition in a fast-paced global marketplace. In this paper,
we look at how organizations use these technologies to drive operational excellence, entitlement, and responsiveness
to customer demand. The report presents some case studies of the successful applications of these technologies and
talks about what companies are facing when incorporating these new systems into their existing supply chain process.
It also explores strategic best practices in addressing these challenges, beginning with defining clear goals, aligning
technology, and ensuring their workforces are ready for change. Finally, the paper looks at the future for supply chain
technology. With burgeoning trends such as hyper-automation (driven by AI and IoT), we can expect things to keep
improving and improving supply chain performance in years to come. The results show that despite challenges,
successfully implementing these technologies increases efficiency and reduces costs, improving customer
satisfaction and providing firms with a sustainable comparative advantage.
Keywords
Supply Chain Management, Technology, Artificial Intelligence, Internet of Things, Blockchain, Automation,
Operational Efficiency, Demand Forecasting, Logistics, Inventory Management, Hyper-Automation.
Accelerating Agile Quality Assurance with AI-Powered Testing Strategies
Authors:   Independent Researcher Berkeley Heights, New Jersey, USA, Pareek Chandra Shekhar
Published: December 2024

The infusion of Artificial Intelligence (AI) into Agile software development is revolutionizing the domain
of software testing, reshaping conventional methodologies to meet the demands of today’s complex and accelerated
development cycles. Agile frameworks, renowned for their iterative workflows and adaptability, often encounter
limitations in scaling to the velocity and intricacy of modern projects. AI emerges as a game-changer, introducing
sophisticated capabilities such as hyper-automation, predictive defect analytics, and context-aware decision-making,
thereby addressing these limitations with precision and scalability.
This paper investigates the transformative influence of AI on Agile testing methodologies, with a focus on specific
use cases, the operational efficiencies gained through AI-augmented workflows, and the seamless collaboration
between human testers and intelligent systems. A comprehensive, architecture-driven framework for embedding AI
into Agile testing cycles is presented, with empirical validation through case studies that demonstrate tangible
improvements in accuracy, productivity, and sprint adaptability.
Keywords: Agile Methodology, Artificial Intelligence, Quality Assurance, Predictive Analytics, Test-Driven
Development (TDD), Behavior-Driven Development (BDD), Natural Language Processing
Mastering Object Healing Techniques for UI Automation: A Comprehensive Guide
Authors: Gopalan Dr. Ranjith , Thyagarajan Mr. Arjun Bharadwaj
Published: December 2024

Object healing plays a crucial role in the realm of UI tests, serving as a fundamental mechanism that enhances the
resilience and stability of automated testing frameworks. As applications undergo constant changes, whether
through updates in user interfaces or the addition of new features, the elements within those interfaces often change
in ways that can disrupt automated tests. Object healing techniques address these disruptions by allowing test scripts
to adapt to changes in UI elements, ensuring that tests remain valid and effective. This adaptability is particularly
significant in dynamic environments, where the cost of maintaining outdated tests can be substantial.
This paper provides a comprehensive overview of the importance of object healing in UI tests. It explores the
fundamentals of object recognition and examines various techniques for effective object recognition. Additionally,
the paper delves into self-healing techniques using Healenium, a tool specifically designed to support UI
applications built on React. Furthermore, it discusses the optimization of machine learning algorithms to enhance
object healing in UI tests, and outlines best practices for object healing in continuous integration environments. The
paper concludes with recommendations and insights into future trends in this rapidly evolving field.

Keywords: UI automation, Element recognization, self-healing techniques, Healenium, Object healing,
decision tree algorithm
Virtual Reality and Artificial Intelligence: A Perfect Combination for Immersive Gaming
Authors:   Concepts IT Inc, Kumar Manoj
Published: December 2024

The virtual reality and artificial
intelligence, it is the immediate future in the field
of game changers. It allows complete immersion
and interactivity into experiences. Applied
together, they create a level of realism,
interactivity, and personalization never before
possible. AI-powered algorithms allow NPCs to
exhibit life-like behaviors, contextually adapting to
player actions and dynamic context-aware

responses. VR allows the simulation of three-
dimensional environments in which a player is

present and immersed between the real and virtual
worlds. Dynamic, AI-powered environments evolve
in real time and react to players' choices, so no
play through will ever be the same. It also greatly
contributes to procedural content generation,
giving developers an ability to create large, unique
worlds without effort. AI-driven personalized
game play caters to the challenges, rewards, and
storylines desired by the player, adding extra
depth to each game. In concert with each other,
VR and AI redefine the limits of interactive
storytelling and entertainment, thus opening new
dimensions for the future of the gaming industry.

Keywords: Virtual Reality, Artificial Intelligence,
Immersive Game, NPC behavior, dynamic
environments, procedural content generation,
interactive storytelling, personalized game play, and
real-time adaptation-innovating in gaming.
Utilizing Data Analytics for Strategic Business Decision-Making and Market Insights
Authors: Mulla Faiz Mohiuddin
Published: December 2024

As the business environment continues to evolve, this skill of manipulating data analytics has turned into one of the
most important strategic advantages. Big data enables organizations to mine actionable insights from huge volumes
of information, leading to improved decision-making, optimized operations, and enhanced market positioning. This
study examines the strategic connotations of data analytics. It proposes a framework for businesses to use analytics
effectively, with a special interest in how business intelligence (BI), predictive analytics, and data visualizational
lifesaving capture deep insights into market shifts, consumer preferences, and business performance. It also explores
the potential impact of new technologies, including artificial intelligence (AI) and machine learning (ML), on
improving data analytics capabilities. Through an examination of various industry case studies, the paper elucidates
how data-driven decisions are more accurate and far more easily adjustable to help organizations remain agile in as
fast-moving a market environment as ever. It also discusses a few challenges businesses encounter while
implementing data analytics and how they can overcome such hurdles.
In conclusion, this paper aims to highlight how data analytics drives business strategy transformation and presents a
practical framework organizations can use to maximize the return on their data assets toward large-scale growth and
profitability. The continued use of more advanced analytics techniques, such as predictive modeling and AI-driven
insights, can reveal hidden opportunities in the business branch and improve decision-making processes. Data
analytics can be considered another catalyst for sustainable growth embedded in organizational processes, providing
companies with better adaptability to market dynamic changes, leading to improved overall business performance.
Keywords
Data Analytics, Business Decision-Making, Market Insights, Predictive Analytics, Business Intelligence, Artificial
Intelligence, Machine Learning, Data Visualization, Strategic Planning, Competitive Advantage.
The Impact of Macroeconomic Factors on Gold Prices
Authors: M Dr. Kiran Kumar , Palaniappan Nisha , Sultana Ruma , Krishnamurthy Meghana
Published: December 2024

This study analyzes the influence of significant macroeconomic variables, like interest rates, inflation, GDP growth
rates, and currency rates, on gold prices. Analysis of a 20-year dataset from 2003 to 2023, employing descriptive
statistics and regression techniques, demonstrates substantial connections between these variables and changes in
gold prices. The results show that inflation and exchange rates have a positive relationship with gold prices, while
GDP growth rate has a modest inverse relationship. Interest rates exhibit a weak inverse relationship, although it is
not statistically significant. The model explains approximately 93% of the variation in gold prices, underscoring the
complex interplay between macroeconomic factors and gold price movements. The results are significant for
investors aiming to mitigate inflation or economic instability, as well as for policymakers evaluating the effects of
monetary policy on gold demand. This research contributes to the understanding of gold's role in the global financial
system and highlights areas for future investigation, including the incorporation of additional factors and advanced
modelling techniques.
Keywords: Gold prices, Macroeconomic factors, GDP growth rate, Interest rates, Inflation, Exchange rates,
Regression analysis.
Özel Eğitimde Ebeveyn Hak Savunuculuğu: Sistematik Bir Derleme
Authors: Tellioğlu Merve , Akemoğlu Yusuf
Published: December 2024

Bu çalışma özel eğitimde ebeveyn hak savunuculuğu kavramına yönelik yapılan bir sistematik derleme çalışmasıdır. Çalışma kapsamında beşi nicel yöntem, sekizi nitel yöntem ve üçü karma yöntem kullanılarak oluşturulmuş, toplamda 16 araştırma makalesi incelenmiştir. Araştırmalar araştırma deseni, katılımcı gurubu, amaç, sonuç ve öneriler bağlamında derlenmiştir. Katılımcı gurubun genellikle ebeveynlerden oluştuğu görülmektedir. Okul ve eğitim uzmanlarının ebeveyn hak savunuculuğuna bakış açısının bulunduğu çalışmaların sınırlılık gösterdiği belirlenmiştir. Yapılan araştırmalar sonucunda ebeveyn hak savunuculuğu, özel gereksinimli bireyin eğitim desteklerine ulaşmasında fayda sağlamakla birlikte ebeveyni psikolojik olarak etkilemekte olduğu görülmektedir. Ülkemizde ise ebeveyn hak savunuculuğu kavram olarak belirtilmese de ebeveyn hak savunuculuğunun yapılmasını içeren hükümler bulunmaktadır. Ulusal alan yazında ebeveyn hak savunuculuğuna yönelik çalışmalar oldukça sınırlıdır. Savunuculuğun uygulamalardaki mevcut durumunun araştırılması ve yasal olarak kavramsallaştırılması bu derleme çalışmasının önemli sonucu ve önerisi arasındadır.
ДЮЗДЖЭ УНИВЕРСИТЕТЫМ АДЫГАБЗЭМ ИЕГЪЭДЖЭН ЗЭРЭЩЕКIОКIЫРЭМ ЕПХЫГЪЭ IОФЫГЪОХЭР
Authors: Shkhalakhova Susana
Published: December 2024

Çerkes diasporasının temsilcileri, dünyanın hemen tüm ülkelerinde yaşamaktadır ve en büyük diaspora Türkiye Cumhuriyeti'nde bulunmaktadır. Türkiye'deki Adıge topluluğu, dillerini kaybetmeye başlamış durumda ve genç nesil büyük ölçüde miras dillerini hiç bilmiyor. Bu nedenle, 2013-2014 akademik yılında Düzce Üniversitesi’nde Kafkas Dilleri ve Kültürleri Bölümü’nün kurulmuş olması önemlidir. Çerkesçe’yi (Adıge) yabancı dil olarak öğretmek, henüz belirlenmiş öğretim kuralları bulunmadığından, öğretim özelliklerine özel dikkat gerektiren karmaşık, çok yönlü bir süreç gerektiren yeni bir olgudur. Bu zorlukla, Düzce Üniversitesi’nde Kafkas Dilleri ve Kültürleri Bölümü’nü kurduğumuzda ve Çerkes (Adıge) dilini incelemeye başladığımızda karşılaştık. Türkçe konuşan öğrencilere ders verirken, Çerkes (Adıge) dilinin kendine özgü yapısının ve özellikle fonetiğinin öğretim yöntemi olarak özel teknikler gerektirdiğini dikkate almanın önemi ortaya çıktı. Çerkes (Adıge) dilini öğrenmenin temel bir yönü, okuma ve yazma öğretmeyi içerir. Bu çalışmanın önemi, Çerkes (Adıge) dilini öğretme ve öğrenmenin nesnel ilkelerini tanımlayan bütünleşik bir yaklaşımın olmamasından kaynaklanmaktadır. Dilin birincil iletişim aracı olmadığı durumlarda metodolojik yaklaşımları uyarlama ihtiyacı ortaya çıkar. Öğrencilerin sınıf dışında genellikle dil pratiğinden yoksun olması nedeniyle okuma ve yazma öğretiminde zorluklar oluşur. Bu çalışmanın amacı, Türkçe konuşan öğrencilerin okuma ve yazmada karşılaştıkları temel zorlukları belirlemek, yaygın yazım hatalarını analiz etmek, Türk dilinin bu süreçler üzerindeki etkisini ele almak ve öğretim yöntemlerini iyileştirmek için metodolojik öneriler geliştirmektir.