bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impacts of COVID-19 on Kam Holding Group in Ilorin, 2020-2021
Authors: Daniel Ogundare Yemi 
Published: February 2025

The paper examines the impacts of COVID-19 on Kam Holding Company Limited, Ilorin. The outbreak of COVID-19 began in Wuhan, a city in the Hubei province of China. The World Health Organization reported the first case of coronavirus on 31st December 2019. This virus is common in an animal like cattle and camels, but in animals to humans is rare. However, the report of coronavirus to humans was traceable to bats while some suggested pangolins. The report was unclear on how it spread to humans. In Nigeria, COVID-19 was confirmed on 27th February 2020. The objective of the study is to examine the impacts of coronavirus on Kam Holding Group Ilorin, Kwara State as a case study of analysis. The theory employed in this study is Human Capital Theory; this theory is very relevant to the development life of many countries, especially in the 1970s which depend on the quality of human resources. The methodology of the study relied on both the primary and secondary sources of data. The primary data relied on key informant interviews and questionnaires. The questionnaire is carried out among 100 respondents, 30 of the respondents are administrative officials while 70 of the respondents are factory workers. The secondary data relied on newspapers, magazines, journals, texts and articles. The study identifies COVID-19 as a great challenge to the economic security and survival of the employees in Kam Holding Group, which resulted in unemployment. This has increased the unemployment statistics in Kwara State and Nigeria at large. Kam Holding Group has not been able to get out of economic depression since 2020 to date due to the low demand for its products caused by the coronavirus pandemic. The study recommended solutions to the existing problem and measures to curtail in a case of re-occurrence of a sudden pandemic phenomenon on the livelihood of the citizens. One of the prime recommendations is that citizens should be diversified in their skilful capacity to meet the wing of unknown economic depression in emerging situations.
Discharge performance of side gates with different shapes
Authors: Kartal Veysi , Emiroglu M. Emin , Yuksel M. Fatih 
Published: February 2025

ABSTRACT
Flow measurement and water level control in open channels are vital to water management. Lateral intake structures are commonly used for different purposes in civil and environmental engineering applications. Flow characteristics of rectangular, triangular, and semi-circular shapes were experimentally investigated using 357 runs under subcritical flow conditions. Correlation analysis was conducted to determine the effect of various parameters on the discharge coefficient. Upstream Froude number (F1), the ratio of the gate opening to the upstream flow depth, and the gate length to flow depth ratio are influential for all side gates. However, the ratio of the gate opening to the gate length is also influential for triangular side gates. Discharge coefficient of the semi-circular side gate is relatively higher than that of the other tested gates within the range of 0.05&lt;F1&lt;0.40; the discharge coefficient of the triangular side gate is relatively higher than that of the other shaped gates for 0.40&lt;F1&lt;0.98 and the efficiency of the triangular side gate decreases more than that of the other gates as the downstream Froude number value increases. A reliable equation for side gates was developed. Good agreements were obtained between the proposed equations and the experimental data.
The Nonlinear Impact of Inflation on Zakat Collection in Indonesia
Authors: Kafabih An'im 
Published: February 2025

Many studies show that zakat collection in Indonesia falls short of its potential. One major factor is the systemic risk faced by muzakki, the zakat payers, due to economic conditions. Given the government's monetary objectives to address systemic risk, such as the unemployment level, these policies theoretically influence zakat collection. This paper examines the impact of inflation and the real exchange rate, as monetary objectives, on zakat collection in Indonesia. Analyzing 45 monthly time series observations with the ARDL bound test, the findings reveal that inflation has a nonlinear effect, boosting zakat collection when the CPI exceeds 105.5. Further, policies increasing the real exchange rate positively affect zakat collection. Additionally, zakat collection during Ied al-Fitr is approximately 1,764% higher compared to other months. The study establishes clear links between monetary policy objectives and zakat collection efficiency, suggesting that monetary policy tools can be leveraged to optimize zakat collection in Indonesia. These findings provide valuable insights for policymakers in harmonizing monetary and zakat collection strategies.========================================================================================================ABSTRAK - Dampak Nonlinier Inflasi pada Pengumpulan Zakat di Indonesia. Sejumlah penelitian menunjukkan bahwa pengumpulan zakat di Indonesia belum sebanding dengan potensinya. Salah satu faktor utamanya adalah risiko sistemik yang dihadapi oleh muzakki, akibat kondisi ekonomi. Sementara itu, pemerintah membuat sejumlah kebijakan moneter untuk menghindari terjadinya risiko tersebut, yang secara teoritis dapat mempengaruhi pengumpulan zakat. Oleh karena itu, penelitian ini bertujuan untuk mengkaji dampak kebijakan moneter, terutama dalam aspek inflasi dan nilai tukar riil, terhadap pengumpulan zakat di Indonesia. Penelitian ini menganalisis 45 observasi data time series bulanan menggunakan ARDL bound test. Temuan penelitian menunjukkan bahwa inflasi memiliki efek nonlinier, di mana peningkatan inflasi meningkatkan pengumpulan zakat ketika tingkat CPI melebihi 105,5. Selanjutnya, kebijakan moneter yang bertujuan meningkatkan nilai tukar riil berdampak positif pada pengumpulan zakat. Selain itu, pengumpulan zakat ketika hari raya Idul Fitri 1,764% lebih tinggi dibandingkan bulan-bulan lainnya. Penelitian ini menunjukkan hubungan signifikan antara kebijakan moneter dengan efisiensi pengumpulan zakat, yang mengindikasikan bahwa instrumen kebijakan moneter dapat dimanfaatkan untuk mengoptimalkan pengumpulan zakat di Indonesia. Temuan ini memberikan masukan yang penting bagi pembuat kebijakan dalam menyelaraskan strategi moneter dengan pengumpulan zakat.
Factors Associated with Premenstrual Syndrome among Female Students in Medical Colleges of Mosul University
Authors: Mazin Abdulrahman , Attia Younes , Abd Ahmed Atheer , Fathi Karam Yaseen 
Published: February 2025

Premenstrual syndrome is a prevalent health issue, especially among female medical school students, affecting their academic and professional performance. The study aimed to assess the extent of PMS experienced by female medical school students and identify factors that can be associated with the severity of PMS symptoms. A descriptive, cross-sectional design utilizing a quantitative approach was adopted from October 8th, 2022, to March 30th, 2023. Simple random sampling was used to select a sample of 185 students from Mosul University Medical Colleges, with 51 students from the Nursing College, 44 from the Medicine College, 47 from the Pharmacy College, and 43 from the Dentistry College. Data were collected using a structured questionnaire and Premenstrual Syndrome Scale. The sample consisted of female students whose mean age was 22.6 ± 4 years and whose body mass index was 22.8 ± 4.4. Of the total sample, 97 participants (52.4%) reported not participating in physical activity. Furthermore, 79 students (42.7%) exhibited moderate symptoms of premenstrual syndrome (PMS), while 27.6% reported severe symptoms of PMS, assessed using the premenstrual scale. In conclusion, the study found a significant statistical difference between cycle duration, duration of menses, regularity of period, amount of bleeding, duration of premenstrual symptoms, and familial history of PMS concerning the severity of PMS symptoms; further studies could explore the potential role of dietary and lifestyle modifications in the management of PMS symptoms and develop effective interventions to address its impact on female students.
Nationwide analysis of methicillin-resistant staphylococci in cats and dogs: resistance patterns and geographic distribution
Authors: Sobkowich Kurtis E. , Hui Angela Y. , Poljak Zvonimir , Szlosek Donald , Plum Andy , Weese J. Scott 
Published: February 2025

Abstract

Objective
This study aims to quantify the frequency and resistance patterns of 3 methicillin-resistant staphylococci (MRS), Staphylococcus aureus (MRSA), Staphylococcus pseudintermedius (MRSP), and Staphylococcus schleiferi (MRSS), in companion animals, using historical culture and susceptibility data from a national diagnostic laboratory.

Methods
Samples from cats and dogs across the US, between 2019 and 2022, were analyzed. Methicillin-resistant isolates identified according to Clinical and Laboratory Standards Institute VET01S (5th ed) were included. Data included location, patient species, sampling site, year, and susceptibility results for various panels of antimicrobials.

Results
There were 110,423 MRSP, 5,618 MRSA, and 20,934 MRSS isolates identified. Methicillin-resistant S pseudintermedius was predominantly found in dogs (96.2%), with skin and soft tissue being the most common sites. Methicillin-resistant S aureus and MRSS were also primarily isolated from dogs, with significant yearly, regional, and species-specific differences in antimicrobial susceptibility observed. This study highlights high resistance levels in MRSP isolates, while MRSA and MRSS showed relatively higher susceptibility to several antimicrobials.

Conclusions
This study provides insight into the distribution and antimicrobial resistance patterns of MRSA, MRSP, and MRSS in companion animals in the US. Resistance rates for enrofloxacin, marbofloxacin, and chloramphenicol may be higher than reported in this analysis due to recent changes in MIC breakpoints in the Clinical and Laboratory Standards Institute VET01S (7th ed). The findings underscore significant geographical and temporal variations in resistance, emphasizing the need for tailored antimicrobial stewardship programs.

Clinical Relevance
The prevalence of MRS in companion animals poses treatment challenges and potential zoonotic risks. This study provides nationwide insight that was not previously available.
Clinical-Epidemiological Profile of Patients With Spins Injury: Review of the Literature
Authors: Pereira Bárbara Lislla de Araújo , Paumgartten Henryque Vasconcelos Von , Silva Guilherme Aresi da , Sardelich Leonardo Freire , Mendonça Nathalia suelle dos Reis , Lesqueves Júnior Lenilson Mendes , Doreto Munique Xavier , Silva Wagner Santos , Anjos Júlia Mota Loureiro dos , Morais Bianka Estrela de Sá , Santos Gebes Vanderlei Parente , Souza Vitoria Oliveira 
Published: February 2025

Objective: The objective of the study is to analyze the panorama of TRM care, highlighting the challenges faced by health professionals in Primary Care and proposing guidelines for better care and social reintegration of patients.

Method: The methodology used was an integrative literature review, consulting databases such as PubMed, SciELO and Lilacs, focusing on publications from 2016 to 2024 that address TRM diagnosis and management methods. The inclusion criteria ensured the selection of detailed studies, while the exclusion criteria eliminated articles with redundant or superficial data.

Results and Discussion: The results show that rapid diagnosis and early intervention are essential to reduce complications. Interventions, such as immediate immobilization and the use of imaging tests, increase the chances of recovery. However, gaps persist, mainly in relation to professional training and the availability of resources in primary services. The discussion reinforces the importance of multidisciplinary and continuous assistance, promoting a more effective reintegration and quality of life for patients.

Conclusion: It is concluded that the implementation of public policies and the continuous training of professionals are fundamental to improving care for these patients.
Development of The Digital Game "Bora Catá" to Support Awareness of Selective Waste Collection
Authors: Souza Caio Guilherme Chaves Jannuzzi de , Sirqueira Tássio Ferenzini Martins , Araújo Marco Antonio Pereira , Carvalho Carlos Vitor de Alencar 
Published: February 2025

Objective: The objective of this study is to develop and evaluate the digital game "BORA CATÁ" as a tool to promote awareness about selective waste collection and its impact on sustainable practices.

Theoretical Framework: The study draws on concepts from environmental education, serious games, and the role of technology in behavior change. It aligns with the Sustainable Development Goals (SDGs), focusing on education and environmental responsibility.

Method: The research employed a design and development methodology for the creation of the game using the Unity platform. The study included iterative testing phases with feedback collection from users to refine gameplay and educational content. Participants’ perceptions were gathered through surveys to evaluate engagement, usability, and learning outcomes.

Results and Discussion: Initial feedback highlighted the game's potential to engage users and improve their understanding of proper waste management. Players reported increased awareness of environmental impacts and expressed a preference for learning through interactive and enjoyable methods. The study also identified areas for improvement, including interface accessibility and age-appropriate adjustments.

Research Implications: This research contributes to the field by demonstrating how persuasive games can bridge entertainment and education to foster behavioral change. The findings support the integration of digital tools into environmental education strategies.

Originality/Value: This study innovates by addressing waste collection awareness through an interactive digital platform, emphasizing the potential of serious games to influence sustainable practices and support global environmental goals.
Maturity Assessment in Industry 4.0: Impacts on Real-Time Inventory Management in An Electronics Company in the Manaus Industrial Hub
Authors: Lopes Vinícius de Lima , Nunes Fabrício Rodrigues , Pimentel John Dalton Costa , Meireles Franciane Souza , Santiago Sandro Breval 
Published: February 2025

Objective: To evaluate the maturity of real-time inventory management in a company within the Manaus Industrial Hub, analyzing the impacts of Industry 4.0 on the supply chain segment through the PIMM 4.0 model.

Theoretical Framework: Industry 4.0 integrates technologies such as IoT, Big Data, and cyber-physical systems that promote automation and efficiency. In the context of the Manaus Industrial Hub, tax incentives have stimulated technological development, but challenges such as workforce training remain.

Method: A case study utilized the PIMM 4.0 model to collect data and apply multiple linear regression via Excel, verifying statistical assumptions. The Forward method identified key variables in inventory monitoring.

Results and Discussion: The implementation of Industry 4.0 showed a positive impact on real-time inventory, while preparation was less significant. Although the model explains only 10% of the variability, the relevance of the technologies is evident, highlighting gaps in organizational maturity.

Research Implications: The results underscore the importance of digital transformation strategies aligned with Industry 4.0 to optimize inventories, providing practical insights for industrial managers.

Originality/Value: This study offers a specific analysis of the Manaus Industrial Hub, highlighting the use of the PIMM 4.0 model and the contributions of Industry 4.0 to efficient inventory management in a highly competitive environment.
Educational design of the course "Business interpretation in the Russian-Chinese language combination" in the era of artificial intelligence (using the example of ChatGPT)
Authors: Yue Ruiying 
Published: February 2025

The advent of ChatGPT opens up new opportunities for improving the teaching methods of business interpretation, especially in such a complex language combination as Russian-Chinese. Despite significant progress in the field of machine translation, the role of a human translator remains indispensable, especially in the field of business interpretation, where a deep understanding of the cultural context and features of intercultural communication is required. In this regard, there is a need to develop new approaches to training translators that will effectively integrate the capabilities of artificial intelligence into the educational process while maintaining the focus on developing students' professional competencies. In the context of the rapid development of artificial intelligence technologies and their integration into the educational process, the issue of effective use of modern digital tools in the training of professional translators is becoming particularly relevant. The subject of the research is the method of integrating artificial intelligence into the process of teaching business interpretation. The research methodology is based on the integrated application of qualitative and quantitative methods, including longitudinal observation, in-depth interviews with experts, and statistical analysis of learning outcomes. The scientific novelty of the research is the development of an innovative teaching methodology for business interpretation in a Russian-Chinese language combination with the integration of artificial intelligence technologies. For the first time, a comprehensive approach to using ChatGPT as a multifunctional tool in the educational process has been proposed, including a system of specially designed exercises and methods for assessing translation competencies. An original modular course structure has been developed that combines traditional teaching methods with artificial intelligence capabilities to create authentic business communication situations. A unique method of designing educational assignments using ChatGPT has been created, based on the principle of gradual complication of the material and taking into account the specifics of Russian-Chinese business communication. The effectiveness of the developed approach has been empirically proven through a system of longitudinal observation and statistical analysis of learning outcomes. The results of the study demonstrate a significant increase in the effectiveness of the educational process when using the developed methodology, which is confirmed by statistical data and positive feedback from participants in the educational process.
Transient Plasma Wind Tunnel Testing Under Thermomechanical Loads for Reentry Break-Up Analysis
Authors: Mueller Clemens , Leiser David , Loehle Stefan , Fasoulas Stefanos 
Published: February 2025

This paper introduces a novel approach for transient plasma wind tunnel testing in an arcjet facility, enabling the experimental simulation of the aerothermal loads along reentry trajectory segments. Such experiments newly allow for the investigation of the causes of break-up events. The trajectory segment is simulated by duplicating the time-resolved profiles of the characteristic flow parameters, namely, heat flux and stagnation pressure as well as the mechanical load, which represents the aerodynamic forces. In arcjet facilities, the parameters that govern the plasma condition are split into variable and constant parameters, which define the available altitude range that can be replicated. The variable conditions arc current and ambient pressure were determined with steady-state trajectory points and traces determined between these conditions resulting in a full trajectory segment. The test time then relates directly to an altitude on the trajectory segment, which allows for an experimental determination of the main break-up altitude. The methodology is applied to a trajectory segment of the transport vehicle CYGNUS OA6, covering an altitude range from 85 to 70 km. A transient break-up experiment on an aluminum bar yielded a failure at an altitude corresponding to 77.6 km, showing a thermomechanical characteristic. These results align well with the observed break-up altitude of CYGNUS OA6, showing the potential of the proposed method.
HabSim: A Modular-Coupled Virtual Testbed for Simulating Extraterrestrial Habitat Systems
Authors: Azimi Mohsen , Lund Alana , Fu Yuguang , Montoya Herta , Vaccino Luca , Murali Krishnan R. , Rhee Seungho , Chebbo Leila , Shahriar Adnan , Wang Zixin , Maghareh Amin , Dyke Shirley J. 
Published: February 2025

Extraterrestrial habitats involve a tightly coupled combination of hardware, software, and humans while operating in an unforgiving environment that poses many risks, both anticipated and unanticipated. Traditional approaches with such systems of systems focus on reliability, robustness, and redundancy. These approaches seek to avoid failure rather than reduce overall risk. However, faults are inevitable, and understanding and managing the complex and emergent behavior and cascading events of such a complex system is critical. This study describes the development of HabSim, a computational simulation environment intended to support research to establish the know-how to design and operate resilient and autonomous SmartHabs. HabSim is a modular virtual testbed composed of many of the coupled dynamic systems expected in a typical SmartHab. A heterogeneous set of interconnected physics-based and phenomenological models is used to represent the essential functions of a SmartHab. HabSim further considers disruptions and models damage and repair of certain components. This paper discusses a) system and subsystem requirements of the deep space habitat included in the HabSim platform; b) architectural choices made in response to the requirements; c) technical considerations for developing, verifying, configuring, and executing HabSim; and d) illustrative sample results from a simulation of a representative disruption scenario.