bluuebunny/crossref_metadata_2025 huggingface dataset:
Entre Narbonnaise et Italie : le territoire de la province des Alpes Maritimae pendant l’Antiquité romaine (ier s. av. J.-C. - ve s. apr. J.-C.)
Authors: Morabito Stéphane
Published: June 2024

Placées sous la responsabilité d’un préfet de l’ordre équestre dès leur intégration dans l’Empire, les Alpes Maritimae sont demeurées sous le régime de la praefectura durant plusieurs décennies. Cette préfecture s’est concentrée dès l’origine sur le versant occidental des Alpes. L’élévation au rang de province des Alpes Maritimae, sans doute sous le règne de Néron, s’est accompagnée d’une évolution de leurs limites territoriales en direction du nord. La province est alors formée de six civitates : Cemenelum/Cimiez, chef-lieu provincial, Vintium/Vence, Glanate/Glandèves, Brigantio/Briançonnet, Salinae/Castellane et Sanitium/Senez. Les extensions territoriales se sont poursuivies durant le iie s. de notre ère avec l’intégration de quatre nouvelles civitates : Dinia/Digne, Caturigomagus/Chorges, Eburodunum/Embrun et Rigomagus/Faucon-de-Barcelonnette. Durant l’Antiquité tardive, la province va connaître une réorganisation interne. La cité de Caturigomagus est intégrée dans le territoire d’Eburodunum, qui devient chef-lieu de la province au plus tard dans la seconde moitié du ive s. Brigantio semble avoir connu le même sort avec l’ajout de son territoire à celui de Glanate. Enfin, dans la première moitié du ve s., Eturamina/Thorame-Haute obtient le statut de civitas et le rang d’évêché.
The Applied Artificial Intelligence Current State-of-the-Art and Greatest Challenges
Authors: Tabasssum Zahira , Siddiqua Hajira , Banu Sufia , Fathima Anees , Ayesha Noor , Samataray Rashmi Rani
Published: June 2024

This chapter explores the intersection of applied artificial intelligence (AI) and humanoid robotics, focusing on their combined potential to revolutionize various aspects of human life. The integration of AI techniques within humanoid robots presents opportunities to enhance human-robot interaction, improve task efficiency, and advance technological capabilities. Through a comprehensive analysis of current research and practical applications, this chapter elucidates the synergy between applied AI and humanoid robotics, discussing its implications across diverse fields such as healthcare, education, manufacturing, and entertainment. Furthermore, it examines challenges and ethical considerations associated with this integration, emphasizing the importance of responsible development and deployment of AI-driven humanoid robots.
AI and Blockchain Revolution in Communication Education
Authors: Babu C. V. Suresh , Manoharan Sudhir
Published: June 2024

This chapter provides a comprehensive overview of AI and blockchain's role in communication education. It establishes the context, objectives, and significance of these technologies. The subsequent sections explore AI's impact in communication education, including content creation, personalization, and communication analysis. It also delves into blockchain's contributions, focusing on trust and transparency. The chapter addresses employment patterns, discussing automation's impact and the need for adaptability. It examines implications for professionals and educators, emphasizing ethical considerations and curriculum integration. Additionally, it explores enhancing pedagogy with AI and blockchain, offers strategic recommendations, showcases case studies, and looks ahead, emphasizing ethics and human-centered approaches.
Frequency, serotyping, antibiogram, and seasonality of Salmonella isolated from red meat markets
Authors: Almashhadany Dhary Alewy , Mohammed Sarhang Hayyas , Mala Shaymaa Farooq , Ahmed Odhah Mohammed Naji , Jalil Ahmood Asaad Abdel
Published: June 2024

Bacterial pathogenic strains are as adaptable as Salmonella strains and cause diverse intestinal and extraintestinal diseases in humans and other mammals worldwide. Red meat and its products are important hosts for many zoonotic diseases. This work was designed to investigate the frequency, serotypes, and antimicrobial resistance profile of isolated Salmonella spp. in red meat (cattle, sheep, and goats) sold in Dhamar Governorate, Yemen. A total of 250 red meat samples were collected from the retail seller market between July and December 2022. All samples were transported immediately to the laboratory, subcultured on selective enrichment agar, and identified by serotyping and antimicrobial susceptibility tests via disk diffusion methods. The results indicated 26 positive samples of Salmonella out of the 250 samples (10.4%). Notably, isolates belong to ten various serotypes: S. Typhimurium 19.2%, S. Anatum 15.4%, S. Newport 11.5%, S. Enteritidis 11.5%, S. Muenchen 11.5%, S. Infantis 7.7%, S. Montevideo 7.7%, S. Dublin 7.7%, S. Senftenberg 3.9%, and S. Arizona 3.9%. The antibiotic resistance profile revealed that 57.5%, 53.9%, and 53.9% of isolates are resistant to erythromycin, tetracycline, and norfloxacin, respectively. This resistance among Salmonella spp. suggests a significant threat to health, which will in turn require an active safety measure and response. On the other hand, the seasonal variations “August and July” were found to be associated with an increased frequency of Salmonella isolation.
Energy-Efficient Design of Seabed Substrate Detection Model Leveraging CNN-SVM Architecture and Sonar Data
Authors: Wang Keming , Wang Chengli , Jin Wenbing , Qi Liuming
Published: June 2024

This study introduces an innovative seabed substrate detection model that harnesses the complementary strengths of Convolutional Neural Networks (CNNs) and Support Vector Machines (SVMs) to analyze sonar data with a focus on energy efficiency. The model addresses the challenges of underwater sensing and imaging, including variable lighting conditions, backscattering effects, and acoustic sensor limitations, while minimizing energy consumption. By leveraging advanced machine learning techniques, the proposed model aims to enhance seabed classification accuracy, a crucial aspect for marine operations, ecological studies, and energy-intensive underwater applications.The introduced ShuffleNet-DSE architecture demonstrates significant improvements in both accuracy and stability for seabed sediment image classification, while maintaining energy-efficient performance. This robust tool offers a valuable asset for underwater exploration, research, and monitoring efforts, especially in environments where energy resources are limited.
Trypanosoma cruzi Infection in Pregnancies without Congenital Transmission Is Associated with Reduced Fetal Growth: A Cross-Sectional Study in Argentina, Honduras, and Mexico
Authors: Paternina-Caicedo Angel , Alger Jackeline , Cafferata Maria Luisa , Carlier Yves , Dumonteil Eric , Gibbons Luz , Hammerman Tamara , Herrera Claudia , Buekens Pierre
Published: June 2024

We aimed to measure the association between Trypanosoma cruzi infection in pregnancy and reduced fetal growth in the absence of T. cruzi congenital transmission. We conducted a cross-sectional study of secondary data of all singleton live births between 2011 and 2013 in five hospitals from Argentina, Honduras, and Mexico. We excluded newborns with T. cruzi infection. Noninfected pregnant people were those without any positive rapid tests. The main study outcomes were birth weight, head circumference, and length for gestational age and sex. Logistic regression models were adjusted for country, age, education level, and obstetric history. Of the 26,544 deliveries, 459 (1.7%) pregnant people were found by rapid tests to be positive for T. cruzi. Of these, 320 were positive by enzyme-linked immunosorbent assay and 231 had a positive polymerase chain reaction (PCR) test. Uninfected newborns from T. cruzi-infected pregnant people were more likely to have birth weights below the 5th and 10th percentiles and head circumferences below the 3rd and 10th percentiles. Among T. cruzi-infected pregnant people diagnosed by PCR, the odds ratios were 1.58 for birth weight below the 10th percentile (95% CI, 1.12–2.23) and 1.57 for birth weight below the 5th percentile (95% CI, 1.02–2.42). Higher T. cruzi parasitic loads in pregnancy had a stronger association with reduced fetal growth (both in birth weight and head circumference), with an odds ratio of 2.31 (95% CI, 1.36–3.91) for a birth weight below the 5th percentile. The association shows, irrespective of causality, that newborns of pregnancies with T. cruzi have an increased risk of reduced fetal growth. We recommend further studies to assess other potential confounders and the causality of these associations.
Case Report: Management of Acanthamoeba Rhinosinusitis in a Patient with Chronic Lymphocytic Leukemia
Authors: Di Valerio Elizabeth , Justice Jeb M. , Gushiken Alexis C.
Published: June 2024

Infections caused by free-living amoebae pose a significant public health threat owing to growing populations of immunocompromised hosts combined with diagnostic delays, treatment difficulties, and high case fatality rates. Nasopharyngeal infections caused by Acanthamoeba are rare and the optimal treatment is not well established. We report a case of Acanthamoeba rhinosinusitis in a patient with chronic lymphocytic leukemia who presented with headaches and chronic rhinosinusitis refractory to multiple courses of antibiotics. A diagnosis of Acanthamoeba rhinosinusitis was established through broad-range polymerase chain reaction testing on sinus tissue. The patient had a favorable response to treatment, which included surgical debridement, cessation of immunosuppressants, and a three-drug regimen consisting of miltefosine, fluconazole, and sulfadiazine.
Financing of Pro-environmental Measures From the Programme European Funds for Infrastructure, Climate, Environment
Authors: Piwowarczyk Agnieszka , Jaś-Nowopolska Magdalena
Published: June 2024

The European Union promotes the implementation of pro-environmental initiatives to improve the living conditions of citizens in the Member States by improving the condition of the natural environment. The main sources of funding for environment and climate action in Poland from the cohesion policy funds are national programmes including: European Funds for Infrastructure, Climate and Environment (FEnIKS), as well as regional programmes. The aim of this article is to demonstrate the principles of financing pro-environmental projects from the funds of the FEnIKS programme, and to show how their implementation affects environmental protection and the improvement of climate conditions in Poland. The article also deals with the issue of control of the spending of European funds.
The Role of Civil Service Police Unit in Controlling Illegal Buildings in Cirebon City
Authors: Wulandari Septhia , Wijaya Sigit , Ramdan Muhamad Joseph , Gunawan Mohamad Sigit , Permana Deni Yusup
Published: June 2024

The regulation of illegal buildings is a common problem in various cities in Indonesia, including Cirebon City. These buildings are often constructed without official permission from local governments, leading to issues such as insecurity, environmental damage, and discomfort for the surrounding community. This study aims to evaluate the role of the Civil Service Police Unit in regulating these buildings and identify the factors influencing the success of their efforts. The research employs a normative juridical method, examining the norms and rules related to the issue, combined with a sociological approach through direct observation and interviews. The findings indicate that while the Civil Service Police Unit has made efforts to regulate illegal buildings in Cirebon City, their efforts have not been optimal. Challenges include a lack of personnel, inadequate infrastructure, limited budget, and low public awareness of local regulations. However, supporting factors such as the quality of human resources and effective internal and external coordination and communication exist. It is recommended that the Cirebon City Civil Service Police Unit enhance public awareness through socialization of local regulations, increase the budget, improve facilities and infrastructure, and enforce strict sanctions against violators.
Pengaruh Penanganan Bagasi terhadap Kepuasan Penumpang Maskapai Garuda Indonesia oleh PT. Gapura Angkasa di Bandar Udara Internasional Soekarno-Hatta Cengkareng
Authors: Anadwi Muhammad Isan , Nasution Fauzia Fahmi Yuniarti
Published: June 2024

Proses pemindahan barang bawaan penumpang dari bandara keberangkatan ke tujuan dikenal dengan istilah penanganan bagasi. Kinerja suatu perusahaan sangat bergantung pada kemampuannya dalam memuaskan pelanggannya, karena hal ini dapat menambah nilai output perusahaan. Oleh karena itu, pelanggan akan merasa puas jika perusahaan bekerja sesuai harapan mereka; sebaliknya, mereka akan kecewa jika perusahaan tidak melakukan hal tersebut. Perusahaan perlu fokus menjaga kinerja penanganan bagasi yang baik agar tidak mengecewakan pelanggan yang menggunakan jasa maskapai dan menjaga kepuasan penumpang. Asosiasi Transportasi Udara Internasional (IATA) telah menetapkan prosedur penanganan bagasi. Dalam penelitian ini, penulis menggunakan metodologi penelitian kuantitatif untuk mengumpulkan data melalui kuesioner dan telaah dokumen. Data yang terkumpul kemudian dianalisis menggunakan software SPSS versi 26.0. Hasil penelitian yang diperoleh hasil thitung sebesar 7,714 lebih besar dari nilai ttabel sebesar 1,984 dan nilai signifikansi sebesar 0,000 lebih rendah dari nilai signifikansi 0,05 menunjukkan bahwa penanganan bagasi berpengaruh secara parsial terhadap penumpang. kepuasan terhadap Maskapai Garuda Indonesia di Bandara Internasional Soekarno-Hatta Cengkareng. Jadi Ha diterima dan Ho ditolak. Selain itu, penanganan bagasi (X) menyumbang 37,8% varians pada variabel dependen kepuasan penumpang (Y), sedangkan variabel lain yang tidak termasuk dalam penelitian ini mempengaruhi 62,2% sisanya.
Analisis Penanganan Bagasi Outgoing oleh Petugas PT Gapura Angkasa pada Maskapai Penerbangan Citilink Indonesia di Bandar Udara Internasional Juanda Surabaya
Authors: Andromeda Reihan , Rahimudin Rahimudin
Published: June 2024

Bandara Internasional Juanda Surabaya adalah bandara internasional yang terletak di Sidoarjo Jawa Timur. Penanganan Bagasi merupakan proses penanganan bagasi tercatat yang dilakukan pada saat sebelum keberangkatan (pre flight service) dan setelah keberangkatan (post flight service) pada suatu penerbangan. Latar belakang penelitian ini yaitu terjadi penyimpangan-penyimpangan saat penanganan bagasi outgoing seperti bagasi rusak saat sudah di bagian make up area, Yang artinya penumpang tidak mengetahui kalau bagasi miliknya mengalami kerusakan saat sudah tiba di Make Up Area. Tujuan dari penelitian ini untuk mengetahui bagaimana proses penanganan bagasi outgoing dan apa saja kendala yang dihadapi oleh petugas PT Gapura Angkasa Surabaya. Penelitian ini merupakan penelitian kualitatif dengan teknik pengumpulan data yaitu observasi, dokumentasi, dan wawancara. Sumber data dari penelitian ini yaitu Data primer wawancara, observasi, dokumentasi dan data sekunder berupa dokumen foto-foto pendukung. Teknik analisis data yang digunakan yaitu pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil dari penelitian yang dilakukan oleh peneliti bahwa petugas sudah melaksanakan prosedur yang ada baik di bagian check-in counter maupun di make up area, namun masih ada beberapa kendala yang dihadapi oleh petugas salah satunya penumpang yang tidak memberitahu petugas bahwa bagasi tercatat miliknya sudah mengalami kerusakan. Upaya petugas untuk mencegah terjadinya hal serupa dengan bertanya dan memastikan kepada penumpang pada saat pelaporan bagasi.
Dairy Farming – a Case Study
Authors: Shanthi Kuchibhatla  , Muskan Banu  , Shaista Taskeen  , Shama begum  , Samreen Sultana  , Geethanjali Karli
Published: June 2024

Dairy farming is an important discipline of agriculture aimed for production of milk and dairy products. India, being a predominantly agrarian economy, has about, 70% of its population living in villages, where Dairy farming play a crucial rule in the socio-economic life. India is not only one of the top producers of milk in the world, but also the largest consumer of milk and milk products in the world. Dairy sector is instrumental in bringing, socio-economic transformation in India. There exists a great need to enlighten and make the society aware of various opportunities and challenges in the dairy farming. In this context, we have visited SAARA DIARY FARM - situated at Nampally, Hyderabad to observe and understand the daily operations of a functioning dairy farm. The farm houses a total of 40 Cows yielding 3 quintal of milk per day. After the distribution of milk, the remaining was used to prepare dairy products like curd, cheese, butter, ghee etc. The visit to a dairy farm provided us with firsthand experience of dairy farming operations, caring for cows, milking processing and the milk processing. This experience has contributed to personal and professional development and enlightened us with potential career opportunities in the agricultural sector. However, the low productivity per animal and availability and affordability of the quality feed and fodder remains to be the major challenges. In these circumstances, Government should take initiative to promote the dairy farming as major industry to meet the global demand.
Brain Haemorrhage Detection Using Capsnet
Authors: Vijayaganth R  , Gokul D  , Deepak D  , Chandeeshsaran B
Published: June 2024

This hypothetical researches the utilization of Case Frameworks (CapsNets) inside the disclosure of cerebrum hemorrhages, a fundamental task in supportive imaging. Ordinary convolutional brain frameworks (CNNs) routinely fight to catch confounded spatial levels of leadership inside pictures, obliging their ampleness here. CapsNets, in any case, offer a promising game plan by safeguarding spatial associations and presentation information through the introduction of containers, which address different dissent properties. By utilizing lively directing instruments, CapsNets capably handle complex spatial plans inside mind channels, heading to more exact confinement and arrangement of hemorrhagic locale. Their trademark ability to manage assortments in presentation and scale help works on their suitability for supportive imaging tasks.
Cumulative Fatigue Damage of Small-Bore Piping Subjected to Flow Induced Vibration
Authors: Ragoobir Rajesh , Bachoo Richard
Published: June 2024

The structural fatigue of a vertically oriented small-bore connection due to flow induced turbulence emanating from an upstream piping manifold is experimentally investigated. Dynamic strain measurements are taken at two perpendicular locations on a small-bore connection and the method of rainflow counting is used to determine the cumulative damage incurred. A number of factors is investigated and their influences on the cumulative damage are explained. These include the effects of (1) single phase and multiphase flow, (2) the upstream flow path through the manifold, and (3) steady-state and transient conditions. From the experimental analysis, key observations that may be useful to piping designers and engineers are reported. For instance, for single-phase water, the largest bending stresses are due to the out-of-plane vibration of the small-bore piping, whereas the pulsating characteristics of the single-phase air and multiphase flow result in significantly larger in-plane bending stresses. It is also observed that under certain manifold outlet conditions, transient effects upon pump start-up can produce more than 300 times the cumulative fatigue damage compared to steady-state operation. As part of this study, the finite element method is also used to investigate the influence of piping support stiffness on the fatigue life of a small-bore connection. Through a series of parametric analysis, it is demonstrated that there exists a minimum support stiffness for which the fatigue life of a small-bore connection excited by flow-induced vibration, achieves its upper bound value.
Effects of Die Entry Angle on the Mechanical Properties of Extruded Lead Alloy
Authors: Farayola Olanrewaju , Gbenebor Oluwashina P. , Odili Cletus C. , Olaleye Samuel A. , Adeosun Samson O.
Published: June 2024

The use of lead to produce wire, power cable sheathing, guide plates, and other wide-range applications require fine-grain structures. Researchers adopted severe plastic deformation, as a means of attaining ultra-fine grain structure. However, this technique is rather expensive and time-consuming. Thus, this study is focused on the application of a simple extrusion technique to achieve fine grain structure in the lead alloy by using different die entry angles to study the microstructural and mechanical properties of lead alloy. Lead alloy samples were cast into cylindrical billets in a sand mould, machined, and tapered at the edge to ease entry into the die for the extrusion process. The die tools were made of mild steel with die entry angles of 15°, 30°, 45°, 60°, 75°, and 90°. Subsequently, the extrusion was performed with the aid of a hydraulic press machine that provided pressure on a cylindrical punch and forced the billet through the extrusion die. The mechanical and microstructural properties were studied, using the micro-hardness tester and metallurgical microscope, respectively. The results show that the maximum extrusion stress of 70 MPa of lead alloy occurred at a die entry angle of 45°, which is three times that of the conventional alloy (18 MPa) with crystal clustering and fine microstructure. The ductility of lead alloy improved when processed at a 60° die entry angle with extrusion stress of 63.3 MPa, with no significant increase in hardness with die entry angles (7.7-9.0 HV). The grains show an appreciable reduction in size and enhanced surface finish
Implications of Climate Change Litigation for Environmental Law and Policy in Ghana
Authors: Akua Joseph
Published: June 2024

Purpose: The aim of the study was to examine implications of climate change litigation for environmental law and policy in Ghana
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study found that the implications of climate change litigation for environmental law and policy in Ghana underscore the urgent need for robust legal frameworks and adaptive policy responses to address the multifaceted challenges posed by climate change. While Ghana has made strides in enacting environmental legislation and participating in international climate agreements, the increasing frequency and severity of climate-related impacts necessitate greater legal clarity, enforcement mechanisms, and stakeholder engagement to enhance climate resilience and adaptation efforts. Climate change litigation provides a crucial avenue for affected communities, civil society organizations, and environmental advocates to hold governments and corporations accountable for their contributions to climate change and their obligations to protect the environment and uphold human rights.
Unique Contribution to Theory, Practice and Policy: Legal Mobilization Theory, Policy Diffusion Theory & Ecological Modernization Theory may be used to anchor future studies on implications of climate change litigation for environmental law and policy in Ghana. Encourage strategic litigation that targets key actors, industries, and policy arenas to maximize the impact of legal interventions on environmental protection and climate action. This involves identifying leverage points within existing legal frameworks and leveraging innovative legal strategies, such as public trust doctrines and rights-based approaches, to advance environmental objectives. Foster greater integration of climate change litigation outcomes into national and international environmental policy-making processes. Governments and intergovernmental organizations should proactively incorporate legal precedents, court decisions, and settlement agreements into policy development, implementation, and evaluation.
Environmental Risks Associated With Urban Development Projects in Kenya
Authors: Mburu Janet
Published: June 2024

Purpose: The aim of the study was to examine environmental risks associated with urban development projects in Kenya
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study revealed that urban development projects in Kenya present significant environmental risks that require careful consideration and proactive mitigation measures. The rapid urbanization and infrastructure expansion in Kenya's cities have been associated with various environmental challenges, including air and water pollution, habitat loss, soil degradation, urban heat island effects, and adverse impacts on human health. These environmental risks stem from factors such as increased vehicular emissions, industrial activities, improper waste management practices, deforestation, and inadequate urban planning and infrastructure. The concentration of population and economic activities in urban centers exacerbates these environmental pressures, further highlighting the urgent need for sustainable urban development strategies in Kenya.
Unique Contribution to Theory, Practice and Policy: urban political ecology theory, environmental justice theory & sustainable development theory may be used to anchor future studies on environmental risks associated with urban development projects in Kenya. Prioritize the implementation of green infrastructure initiatives, such as green roofs, urban parks, and sustainable drainage systems, to mitigate environmental risks associated with urban development. Integrate nature-based solutions into urban planning and design processes to enhance ecosystem services, improve air and water quality, and reduce urban heat island effects. Advocate for legislative reforms and policy interventions that prioritize environmental sustainability in urban development planning and regulation. Implement stringent environmental impact assessment (EIA) processes for all urban development projects to ensure compliance with environmental standards and regulations.
Influence of Artificial Intelligence on Credit Risk Assessment in Banking Sector
Authors: Brown Michael
Published: June 2024

Purpose: The aim of the study was to examine the influence of artificial intelligence on credit risk assessment in banking sector.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study found that AI-driven models demonstrate superior performance in identifying risky borrowers and capturing complex credit risk patterns compared to traditional methods. Additionally, the integration of explainable AI (XAI) techniques has enhanced transparency and interpretability in credit risk assessment processes, facilitating better understanding among stakeholders and improving decision-making transparency.
Unique Contribution to Theory, Practice and Policy: Decision theory & technology acceptance model (TAM) may be used to anchor future studies on influence of artificial intelligence on credit risk assessment in banking sector. Continuously invest in research and development to advance the theoretical understanding of AI-driven credit risk assessment models. This includes exploring the integration of machine learning with behavioral economics theories to better predict borrower behavior and default probabilities. Encourage banks to adopt a hybrid approach that combines the strengths of AI-driven models with human expertise. Develop comprehensive regulatory guidelines and standards to govern the use of AI in credit risk assessment and ensure ethical and responsible practices. This includes establishing transparent model validation and governance frameworks to mitigate the risks of algorithmic bias, data privacy violations, and discriminatory lending practices. Regulatory authorities should also promote industry-wide collaboration and knowledge sharing to foster innovation while safeguarding consumer interests and financial stability.
The Role of Machine Learning in Enhancing Risk Management Strategies in Financial Institutions
Authors: Mwangi Mary
Published: June 2024

Purpose: The aim of the study was to examine the role of machine learning in enhancing risk management strategies in financial institutions.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study revealed that integration of machine learning into risk management strategies within financial institutions has demonstrated significant potential for enhancing decision-making processes and mitigating various risks. The study have consistently shown that machine learning algorithms outperform traditional statistical methods in areas such as credit risk assessment, fraud detection, market risk management, and loan portfolio optimization. These advancements have led to improved accuracy, efficiency, and timeliness in risk assessment, enabling financial institutions to make more informed decisions while reducing losses and enhancing overall performance.
Unique Contribution to Theory, Practice and Policy: Modern Portfolio Theory (MPT), Efficient Market Hypothesis (EMH) & Agency Theory may be used to anchor future studies on role of machine learning in enhancing risk management strategies in financial institutions. Invest in building robust data infrastructure and governance frameworks to support the implementation of machine learning models in risk management practices. High-quality data is crucial for training accurate and reliable machine learning algorithms. Establish regulatory guidelines and standards for the responsible use of machine learning in risk management within the financial industry. These guidelines should address issues such as model transparency, fairness, and accountability to ensure ethical and responsible practices.
RENEWABLE HORIZONS: INVESTIGATING FEASIBILITY IN CONSUMPTION TRENDS
Authors: FILSER Stephan Peter
Published: June 2024

The European Union's ambitious target to achieve zero emissions from passenger cars by 2035 has
sparked significant strategic overhauls among European car manufacturers, pushing them towards a 100%
electric vehicle fleet. Concurrently, a forthcoming heating law, slated to take effect from 2024 initially in
Germany, aims to drastically curtail the installation of gas and oil heating systems in favour of heat
exchangers. These legislative shifts are already straining the power grid, necessitating a substantial
expansion of renewable energy capacity. Projections indicate an ongoing surge in energy demand,
underscoring the imperative of a global transition away from fossil fuels. However, this endeavour poses
formidable challenges for nations worldwide. This study delves into the current state of renewable energy
and its projected evolution, stressing the imperative of significantly boosting renewable energy deployment
to achieve sustainable electrification of passenger vehicles globally. It highlights the need to triple the share
of renewable energy sources, quadruple efforts across all transportation sectors, and increase the overall
transition away from fossil fuels fifteenfold. While conventional renewables such as solar, wind, hydro, and
biofuels remain integral, emerging technologies like nuclear fusion offer promising avenues. Nonetheless,
attaining complete independence from fossil fuels may prove elusive, considering non-energy applications
of crude oil and other fossil resources. The study also assesses potential ecological ramifications and
balances the environmental impacts of these energy transitions.
ARE THE REASONS FOR STUDENT DROPOUT RATE AT COMMUNITY EDUCATION AND TRAINING COLLEGE JUSTIFIABLE?
Authors: KGATITSWE Tselanngwe Mafoko Tsholofelo , MOKOENA Amos Judas
Published: June 2024

Community Education and Training Colleges are established to develop and improve skills in South
Africa, especially those skills that are not taught in Institutions of Higher Learning such as Universities.
However, these Colleges as a relatively new sector are faced with a number of challenges ranging from
infrastructure to high drop-out rates. Therefore, the purpose of this study was to establish whether there was
any significant relationship between factors influencing students to quit this sector and drop-out rate in
Community Colleges. A quantitative method was used wherein a questionnaire was administered to the
students to conduct the study. A sample of (n=66) was drawn from the population (N=200) students. Eighty
percent of the questionnaires were returned, representing fifty-three (53) students. There were three
hypotheses of the study; (Ho1): there is no significant relationship between lack of student support services
and drop-out rate; (Ho2): there is no significant relationship between less teaching and learning hours and
drop-out rate and (Ho3): there is no significant relationship between learning and teaching support material
and drop-out rate. The study produced the following results (r=.24, n=53, p-value-.00); (r=.25, n=53, pvalue=.00); (r=.23, n=53, p=.00), respectively. The results indicated a statistically significant relationship
between independent variables (lack of student support services, less teaching and learning hours, learning,
and teaching support material) and a dependent variable (drop-out rate).
TRANSACTIVE MEMORY SYSTEMS: A BIBLIOMETRIC ANALYSIS
Authors: ANDREI Ana-Maria
Published: June 2024

This paper explores the relationship between transactive memory systems (TMS) and
organizational performance through a bibliometric analysis. The analysis examines publications in the Web
of Science database from 1975 to 2023, focusing on those that connect TMS with knowledge and performance
in an organizational context. The results reveal a growing interest in TMS research, particularly since 2010.
The analysis identifies key concepts such as team performance, knowledge management, and intellectual
capital. It highlights the increasing importance of managing intangible resources like knowledge in the
digital age. The findings suggest a strong link between well-developed TMS and improved organizational
performance. TMS facilitates knowledge sharing, expertise utilization, and team coordination, ultimately
leading to better outcomes like innovation, efficiency, and creativity. The paper concludes that TMS
represents a strategic management resource, especially for knowledge-intensive organizations. It emphasizes
the need for further research to fully understand the potential of TMS in supporting such organizations.
EUROPEAN FINANCIAL MARKETS CONNECTEDNESS AND MONETARY POLICY COMMUNICATION STRATEGY:SPILLOVER EFFECTS FOR CENTRAL AND EASTERN EUROPE
Authors: CIOCÎRLAN Cecilia , STANCEA Andreea , PLĂCINTĂ Dimitrie-Daniel
Published: June 2024

This study evaluates the impact of unconventional policy announcements by the European Central
Bank (ECB) on the interconnectedness of sovereign credit default swaps (SCDS) markets in the European
Union (EU) from 2009 to 2014. The findings suggest that ECB's unconventional policy measures reduced
sovereign default risk not only in Eurozone nations but also in Central and Eastern European countries. To
investigate the transmission of monetary policy effects across European countries, we employ the Diebold &
Yilmaz connectedness framework along with an event-study approach. Our analysis reveals robust evidence
of substantial positive spillovers from ECB monetary policy measures to all EU countries, effectively
shielding the SCDS market from adverse shocks. Among various policy tools, we observe that asset purchase
programs enhance overall connectedness, while mixed policy measures bolster within-cluster connectedness.
Furthermore, our results highlight the efficacy of specific monetary policy instruments, indicating that asset
purchase programs and quantitative easing are particularly effective in reducing sovereign risk.
Keywords: communication strategy, financial markets, monetary policy, sovereign risk, Central and Eastern
Europe
CYBER SECURITY FOR CHEMICAL PLANT USING ARTIFICIAL INTELLIGENCE
Authors: ABISHA J. JOHNSI , JANAKI M.
Published: June 2024

The adding number of cyber-attacks on diligence demands immediate attention for furnishing further secure mechanisms to guard diligence and minimize pitfalls. An administrative control and data accession (SCADA) system employing the distributed networks of detectors and selectors that interact with the physical terrain is vulnerable to attacks that target the interface between the cyber and physical subsystems. These cyber-attacks are generally vicious conduct that beget uninvited results in the cyber physical world, for illustration, the Stuxnet( 2010) attack that targeted Iran's nuclear centrifuges. An attack that hijacks the detectors in an attempt to give false readings to the regulator can be used to dissemble normal system operation for the control system, while the bushwhacker can commandeer the selectors to shoot the system beyond its safety range. AI result can identify shadow data, cover for abnormalities in data access and alert cybersecurity professional about implicit pitfalls by anyone penetrating the data or sensitive information. This proposes a process- apprehensive approach with the use of steady equations grounded on the physical and chemical parcels of the process and a Multiple Security sphere Nondeducibility (MSDND) frame to descry when a detector signal is being virulently manipulated. A system without any MSDND secure information flows between the AI and cyber observers has smaller sins that can be exploited.
FORMULATION, CHARACTERIZATION AND IN-VITRO EVALUATION OF FLOATING MICROSPHERE OF IBUPROFEN USING CARBOPOL 940 POLYMER
Authors: SAHARAN PRIYANKA , SAHARAN SHYO PARAKSH
Published: June 2024

In this study, ibuprofen hollow microspheres are prepared and assessed using a novel emulsion-solvent diffusion process in an effort to increase the drug's enteric bioavailability by extending the duration of the drug's stomach residence. Carbopol 940, drug, ethanol, and the DCM solution were added to an agitated PVA aqueous solution that was thermally regulated to 40 degrees Celsius to create microspheres. The resultant microspheres were separated through filtration and subjected to various evaluations like micrometrics characteristics, morphology, in vitro floating behaviour, percentage of drug entrapment, and in vitro drug release. According to in vitro release experiments, formulation F3 was found to be 86.75 % in 10 hrs. It is possible to draw the conclusion from the study that microspheres are the perfect tool for increasing the length of time a drug is present in the stomach and improving its enteric bioavailability.
Factors Affecting Control and Prevention of Child Sexual Abuse in Sri Lanka
Authors: Niranjana Dr. H.K. Sangeeth
Published: June 2024

Child abuse has evolved into a strong social problem in Sri Lanka. In addition to this, children being victims of sexual abuse has grown into a strong social problem in this country today. It is clear from the study of the statistics published regarding sexual abuse that there has not been a significant decrease in the sexual abuse of children in this country. The sexual abuse of children, especially by using them for obscene postings and publications, has grown extremely in Sri Lanka. Thus, children are faced with a lot of effects and problems due to being victims of sexual abuse. This situation has a direct impact on the development of the country. Treatment of child victims after sexual abuse and enforcement of the law against abusers incurs huge economic and service costs. However, 100% compensation cannot be made for the negative impact on the child. Because of this, a strong emphasis should be placed on identifying the factors that affect the control and prevention of children becoming victims of sexual crimes in Sri Lanka. The research problem of this study is to find out what are the causal factors that affect the control and prevention of child sexual abuse. Also, the main purpose of the research is to study the factors affecting the control and prevention of children becoming victims of sexual abuse. In this study, special attention has been given to the relationship between the victimized children and their parents, parental weaknesses that affect the victimization of abuse and what measures can be taken to control and prevent sexual abuse. Data collection was done using two samples, and structured interviews were used to collect data. According to the research results, 79% of the parents have not informed their children about the factors that influence them not to become victims of sexual abuse. 89% of the parents have accepted that some weakness in the family has affected the children to commit a sexual crime. Among these, about 51% of the father’s weaknesses have directly affected the abuse. The main suggestion is that the sexual abuse of children in this country can be controlled and prevented by implementing the law and making new laws. Also, it has been identified in this study that the family should be strengthened to control and prevent children from falling victim to sexual abuse.
THE CONNECTION BETWEEN QUALITY AND SELF-ESTEEM IN PATIENTS WITH BREAST CANCER
Authors: Brajković Marija , Babić Dragan
Published: June 2024

Greater insight into patient's quality of life can help researchers and clinicianstouse quality of life as a measure fortreatment outcomes.Breast cancer is a stressful and causes extremely difficult physical, emotional and social challenges. In addition to concerns about whether breast cancer will metastaize and the impact of treatment side effects on daily life, breast cancer patients are more likely to experience depression than patients with other types of cancer. Surgery, chemotherapy, radiation therapy, and other forms of treatment can cause changes in a patient's physical apperance, leading to anxiety, pain, depression, and low self-esteem.Self-esteem is determined by positive or negative feelings as well assatisfaction and confidence in oneself. It also refers to the belief that one is capable of coping with life's challenges and is worthy of happiness. One study found that self-esteem is a key factor in the growth andreturn to normal life in breast cancer patients. Low self-esteem has been found to be strongly associated with depression and other psychological problems.The diagnosis and treatment of breast cancer encompasses a critical period in a woman's life duringwhich she suffers from anxiety ofthe cancer spreading to other parts of the body, uncertainty about the future, anxiety and depression, anger, frustration, pain, changes in self-image, fear of losing femininity and changed confidence. Advances in the diagnosis and treatment of breast cancer, pathological differences between this disease and other chronic diseases, changes in self-esteem, the development of negative emotions, the experience of everyday problems at work and in interpersonal relationships, and the development of anxiety can lead to changes in the quality of life of patients with breast cancer.The objectiveof this studyis to explain the connection between the quality of life and self-esteem of breast cancer patients.Keywords: connection, quality of life, self-esteem, cancer, breast
Design and Fabrication of Organic Waste Shredding System
Authors: Atharva Karawade  , Deep Karalkar  , Omkar Kavitkar  , Chaitanya Damle  , Prof. Sumit Malusare
Published: June 2024

Organic composting forms the backbone & basic necessity of a poor farmer. The traditional methods are not sufficient & satisfactory for chopping the crop residues. Whereas buying the chemical fertilizer is not possible for every farmer due to its high cost and also food waste contains high calorific and nutritive values. In all the cities and places, organic waste is dumped or disposed in landfill or discarded, which causes the public health hazards and diseases like malaria, cholera, typhoid. Inadequate management of wastes like uncontrolled dumping bears several adverse consequences. Shredding machine is used for shredding and converting macro organic waste products into small or micro easily decomposable form, which can be used as organic manure. Organic waste shredder designed should perfect to shred all kinds of waste products. The organic waste shredded will be in small pieces to enable the farmer to make use of it as feed for manure or organic manure and biogas feed. This shredder can be operated with a motor.
Untapping the potential of cloud subtitling in audiovisual translator education: A pilot study
Authors: Bolaños-García-Escribano Alejandro
Published: June 2024

This paper examines the potential of cloud technologies in audiovisual translator education with a particular emphasis on cloud subtitling. The fast-growing global demand for multimedia content has recently led to the significant growth of audiovisual translation (AVT) as both a professional avenue and an academic discipline (Díaz-Cintas, 2019). Developments in cloud computing have profoundly altered work in the language and translation industries in general and media localisation workflows in particular (Díaz-Cintas & Massidda, 2019). The market’s leading stakeholders are currently exploiting cloud technologies in an attempt to maximise resources, extend freelance networks and enhance efficiency. Access to most of these technologies, however, remains restricted to the largest media-streaming and translation service providers, meaning that they cannot be utilised by the public, not least would-be translators and trainers. The umbilical connection between translator education and new technologies, such as cloud computing, calls for a more detailed examination of how cloud subtitling is being integrated into the AVT classroom. Indeed, to be fully employable in an ever-changing market, AVT trainees need to be fully conversant in the latest technologies (Cerezo-Merchán, 2018) and adapt to new ecosystems quickly. The ubiquitous cloud-based revoicing and subtitling editors used in the industry are becoming timidly, albeit steadily, more manifest in higher education. This paper thus examines the uses of cloud subtitling systems in audiovisual translator education following instances of action research (AR) experimentation. It presents the results from a pilot AR study conducted at a translator training institution and ultimately proposes ways to further explore cloud technologies in higher education while fostering academia-industry partnerships.