bluuebunny/crossref_metadata_2025 huggingface dataset:
Mesenteric panniculitis associated with non-alcoholic fatty liver disease: a case series
Authors: Siyal Mehreen , Abbas Zaigham , Saeed Alina , Qadeer Muhammad Ali
Published: April 2024

Mesenteric panniculitis (MP) is a benign inflammatory condition of the abdominal mesentery which presents with a wide variety of symptoms. It is diagnosed non-invasively through computed tomography (CT) scan, whereas biopsy is still considered the gold standard. Steroids are the first line of treatment. Here, we report four cases who presented with abdominal pain. These patients were overweight and the CT scan findings were suggestive of mesenteric panniculitis. Three cases had concomitant non-alcoholic steatohepatitis with elevated alanine transaminase levels, dyslipidaemia, and insulin resistance. FibroScan showed moderate to severe steatosis. PNPLA3 rs738409 genotype was homozygous positive (GG) in one patient, whereas two patients were heterozygous positive (CG). This association has not been well-described so far and warrants further investigation. There may be some common predisposing factors.
Key words: Mesenteric panniculitis, Non-alcoholic steatohepatitis, Dyslipidaemia, Insulin resistance.
Tongue cancer developing after haematopoietic stem cell transplantation for treatment of acute promyelocytic leukaemia: a case report
Authors: Kitano Hisataka , Aizawa Souichi , Chang Emily , Yamagata Kanako , Takayama Hiromasa , Kawano Tempei
Published: April 2024

Acute promyelocytic leukaemia (APL) is a form of acute myelogenous leukaemia. APL is characterised by anaemia due to suppression of normal haematopoiesis and infection. Haematopoietic stem cell transplantation (HSCT) is current option for the treatment of haematopoietic malignancies and is proving to be successful. Although HSCT has been effective for the treatment of haematopoietic malignant tumours, chronic graft-versus-host disease (GVHD) but secondary cancers can occur, which is a serious complication and frequently involves the oral cavity and skin. Here, we report the case of tongue cancer occurring 17 years after transplantation in a patient who developed GVHD after haematopoietic stem cell transplantation and APL remission. To the best of our knowledge, this is the first report of secondary oral cancer after HSCT with APL as the primary disease.
Keywords: Chronic graft versus host disease, Haematopoietic stem cell transplantation, Oral squamous cell carcinoma, Secondary cancer.
Thyroid hemiagenesis with compensatory hypertrophy of the remaining lobe: A case report
Authors: Abdullah Unar Ambreen , Akhtar Shabbir , Khalid Ghaloo Shayan , Awan Muhammad Ozair , Anjum Saba
Published: April 2024

Thyroid hemiagenesis is defined as a failure of one thyroid lobe development. This condition predominantly manifests as an incidental finding during radiological investigation. This paper reports the case of a 53-year-old female, a known case of hypertension, who visited the ENT clinic at AKU, a tertiary care centre in Karachi, Pakistan. The patient presented with hemiagenesis of the right thyroid lobe with enlargement of the contralateral lobe resulting in airway compression. She was subjected to excision of the thyroid gland without any intra-operative or postoperative complications. There were no complaints of dyspnoea, stridor or hoarseness during the hospital stay. The patient was discharged and was found to be well on subsequent follow-ups.
Keywords: Unilateral Thyroid Agenesis, Thyroidectomy, Case Report.
Cognitive behaviour therapy as an evidence-based intervention for opioid use disorder: a systematic review
Authors: Shahzadi Mafia , Bhati Khalid Mahmood
Published: April 2024

Objective: To explore the effectiveness of cognitive behaviour therapy as an evidence-based intervention for patients with opioid use disorder and to estimate the effect of cognitive behaviour therapy in mental health care settings.
Method: The systematic review was conducted from January to April 2023, and comprised search on Web of Science, PsycINFO, Medline, Embase, Google Scholar, Science Direct, PubMed, ClinicalTrials and OvidSP databases for experimental studies and randomised controlled trials related to opioid use disorders published in peer-reviewed English-language journals between December 2022 and April 2023. The studies' quality was assessed using the Modified Cochrane Collaboration risk of the bias assessment criteria.
Results: Of the 314 studies initially identified, 42(13%) were subjected to full-text assessment, and 10(23.8%) were analysed. There were 5(50%) studies done in the United States, 2(20%) in Iran, and 1(10%) each in Germany, China and England. All 10(100%) studies were randomised controlled trials with intervention-based cognitive behaviour therapy, and reported significant results in patients diagnosed with opioid use disorders.
Conclusion: All the studies analysed were heterogeneous. Cognitive behaviour therapy had a short-term impact and remained influential in the long term as well in handling cognitive and behaviour setbacks among patients with opioid use disorders.
Key Words: Cognitive behaviour therapy, Opioid use disorders, Patients, Mental health, Randomised controlled trials.
The Effect of Perceived Quality, Student Life Social Identification on Student Satisfaction with Moderator Role of Organizational Identification
Authors: Akram M. Alhamad  , Mohannad Faisel Bashir Elnahaiesi  , Abdullah Mahfoud Salem Baadhem
Published: April 2024

Universities worldwide have a difficult time keeping students enrolled, so it is essential to identify the factors that could potentially improve retention rates. Several important factors that affect student satisfaction, as well as students' intentions to remain and support the institution, are investigated in this research. The extent to which student satisfaction and behaviors are influenced by organizational identification and the institution's reputation is a topic that interests researchers in particular. Covariance-based structural equation modeling was utilized to develop and test a conceptual model. The information was gathered by surveying undergraduate students in Libya. According to the study's findings, although the perceived quality of teaching does affect student satisfaction, the influences of organizational identification and the institution's reputation are significantly more significant. Based on the findings, it is recommended that educational institutions engage in activities that enhance student-university identification and institution reputation. This is because these factors can significantly impact students' attitudes and behaviors. This paper discusses various strategies educational institutions can implement to cultivate and sustain organizational identification among students.
Effects of Trade Policies and Regulations on Global Livestock Markets and Food Security in Kenya
Authors: Mwenda Jackson
Published: April 2024

Purpose: The aim of the study was to examine the effects of trade policies and regulations on global livestock markets and food security 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 the effects of trade policies and regulations on global livestock markets and food security in Kenya underscore the intricate interplay between local agricultural systems and international trade dynamics. Trade policies, including tariffs, quotas, and sanitary and phytosanitary (SPS) measures, significantly influence Kenya's livestock sector by shaping market access, competitiveness, and domestic production levels. While trade liberalization measures may enhance market opportunities and foster economic growth, they also pose challenges to local farmers and food security by exposing them to international competition and market fluctuations.
Unique Contribution to Theory, Practice and Policy: New Trade Theory & Institutional Theory may be used to anchor future studies on effects of trade policies and regulations on global livestock markets and food security in Kenya. Efforts should be made to enhance the transparency, coherence, and consistency of trade policies and regulations related to livestock markets. There is a need to adopt a balanced approach that promotes trade while safeguarding food security and sustainable development goals. Policymakers should prioritize measures that enhance the resilience and competitiveness of domestic livestock producers, particularly small-scale farmers and vulnerable communities. This could involve targeted support programs such as access to credit, technical assistance, and market information, aimed at improving productivity, market access, and income generation.
Land Tenure Policies and Property Rights Affecting Livestock Production in Bangladesh
Authors: Rishit Michael
Published: April 2024

Purpose: The aim of the study was to investigate land tenure policies and property rights affecting livestock production in Bangladesh.
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 a significant influence of secure land tenure on livestock productivity, investment decisions, and sustainability. Secure property rights are consistently associated with higher levels of livestock productivity, increased investment in animal husbandry practices, and improved land management strategies among rural households. Moreover, tenure security facilitates long-term investments in livestock genetic improvement programs, leading to higher milk yields and improved household incomes among dairy farmers.
Unique Contribution to Theory, Practice and Policy: Institutional Theory & Property Rights Theory may be used to anchor future studies on land tenure policies and property rights affecting livestock production in Bangladesh. Promote community-based natural resource management approaches that recognize customary land tenure systems. Empowering local communities to manage their grazing lands can enhance ecological sustainability, reduce conflicts, and improve livelihoods among pastoralist groups. Advocate for the legal recognition of customary land rights and indigenous knowledge systems in national land tenure policies. Acknowledging traditional tenure arrangements can strengthen tenure security, promote social equity, and enhance the resilience of livestock production systems.
Analysis of Consumer's Behavior in Using Eco-Friendly Shopping Bags in Pontianak City
Authors: Sumiyati Sumiyati , Archie Ananda
Published: April 2024

This research aims to explore and analyze consumer intentions and behaviors in Pontianak City concerning the use of eco-friendly shopping bags, particularly among those who shop at retail stores, supermarkets, and malls with prior planning.This research uses the Theory of Planned Behavior, namely to find out the influence of attitude, subjective norms and perceived behavioral control on intention and behavior using eco friendly shopping bags. The findings indicate that the intention to utilize eco-friendly shopping bags is influenced by factors such as attitude, subjective norms, and perceived behavioral control. Attitude and perceived behavior influence behavior using eco-friendly shopping bags, while subjective norms do not influence behavior using eco-friendly shopping bags. Intention to use is proven to mediate the influence of attitude, subjective norms, and perceived behavioral control on behavior using  eco-friendly shopping bags.
THE EDUCATIONAL ENVIRONMENT: FACTORS THAT CAN LEAD TO THE EMERGENCE OF IMBALANCES
Authors: BULAT Cristina Ionela , MIRON Mihaela
Published: April 2024

Education is an important tool for the transfer of knowledge, relationships, social experiences, and technology from generation to generation that determines the perspective in which nations will exist in the near future. This article aims to identify the factors that can lead to the emergence of imbalances in the educational environment in Romania. In the past 12 years, the educational environment went through changes that had an impact on the entire system. The highest impact of changes had a direct effect on the educational institutions that had to keep up and identify new appropriate ways to ensure the institutions success, through the fulfillment of objectives and compliance with the assumed mission. The change process is determined by numerous factors such as: the evolution of science and technologies, adaptability to professional requirements, constantly changing social, economic, informational requirements, changes in the demographic structure, the multiplication of professions, the democratization of life, and fierce competition. Analysing the literature and the reality of the educational system we have identified the following factors: changes in the leadership of the educational ministry, legislative changes, lack of funding, the curriculum is not adapted to current needs, human resources, and COVID-19 pandemic.
TRENDS AND OPPORTUNITIES FOR THE YOUNG HUMAN FACTOR IN THE CONTEXT OF INTERNATIONAL MIGRATION OF THE WORKFORCE
Authors: POPA Marina , PLĂMĂDEALĂ Olivia
Published: April 2024

International migration of the workforce has become a global challenge and is constantly in the spotlight of the world community. Since ancient times, humanity has been on the move. Some people move in search of jobs or economic opportunities, others to join family or to study. Others migrate in response to the negative effects of climate change, natural disasters or environmental factors. Among migration phenomena, an essential role is held by the migration of the young human factor. Today, it is estimated that the number of young people, i.e. people aged between 15 and 24, is around 1.3 billion and account for 15.5 per cent of the global population. (UN, 2020). Migration in general, and that of young people in particular, is one of the current challenges for the developing countries, including the Republic of Moldova. The increasing migration of young people concerns the authorities and civil society, given its effects on the country's human potential and socio-economic development. In this article we aim to study the current trends of the migration process, in particular to address the motivation of young people in Moldova to migrate in order to study abroad.
Hordes of Struggling African Youths will Continue to Migrate En Masse to Developed Countries: The Political Economy of “Japa” from Nigeria to the United Kingdom (2015-2023)
Authors: Oguejiofor Princewilliams Odera , Onwuasoigwe Chioma Alice
Published: April 2024

This study explores the mass emigration from Nigeria to the United Kingdom, commonly referred to as ‘Japa,’ and its implications for Nigeria’s political economy. The research employs a documentary method, analysing secondary data sources through qualitative content analysis. The study is grounded in the push-pull theory, which posits that adverse conditions in Nigeria act as ‘push’ factors, driving individuals to seek better opportunities abroad, the ‘pull’ factors. The findings reveal that unemployment, and uncertainty about Nigeria’s economic and political future are significant push factors fueling the mass exodus of Nigerians to the UK. The brain drain associated with this phenomenon has profoundly impacted Nigeria’s political economy, resulting in the depletion of skilled labour, loss of human capital, reduced productivity, and stagnated innovation. Furthermore, the study highlights the economic implications, including diminished GDP contributions, diversion of funds for medical tourism, and loss of educational investments. The research recommends economic diversification, job creation, enhanced governance, political stability, investment in education and infrastructure, incentives for skilled professionals, diaspora engagement, and international cooperation to mitigate the challenges of mass migration and brain drain. These strategies aim to address the root causes of emigration and facilitate brain gain.
Impact of Community and Social Development Project on Livelihood of Beneficiaries in Danko/Wasagu Local Government Area of Kebbi State, Nigeria
Authors: Hassan S. U , Umar S. , Jega A. A
Published: April 2024

Between the years 2010 and 2013, the Nigerian Government established a transforming structure called the Community and Social Development Project (CSDP). This research explores the influences of that project on livelihoods of beneficiaries located in Danko/Wasagu Local Government Area (LGA) of Kebbi State, Nigeria. Multi stage sampling techniques was used for the study. In the first stage, Four (4) of the twenty-four (24) communities in Danko/Wasagu were purposely selected because they fully implemented their Community Development Plan (CDP). In the second stage, Two hundred beneficiaries (50 for each of the four communities) were randomly selected as a random sample for the study based on their membership of community development association and their primary occupation is farming. Descriptive statistics and Paired Sample t-test were tools used to look for perceived influences between project delivery and post project availability of livelihood resources. The study provided livelihood information and perceptions from beneficiaries of the CSDP through data collected before and after the project. The results inferred significant improvement in access to resources particularly in health and transport amongst all communities. Improved access to water however, was only significant in two communities. The study recommend that following the closure of the CSDP, that continued development and maintenance of infrastructures provided by the project was transferred to Danko/Wasagu local government authority.
Community Engagement in Urban Planning: A Catalyst for Sustainable Development
Authors: Owuondo Joseph
Published: April 2024

The domain of urban planning occupies a seminal position in the delineation of our urban landscapes, wielding considerable influence over the trajectory of our cities. A burgeoning acknowledgment underscores the imperative integration of robust community participation in the intricate tapestry of urban development. This exposition articulates the indispensable nexus between community engagement and the multifaceted intricacies of urban planning, elucidating its profound implications for the realization of urban environments characterized by sustainability, inclusivity, and resilience.
Potentiality of Democratic Competencies for an Inclusive Classroom
Authors: Sarker Subarna , Rajib Md. Khurshid Hassan , Jahan Rubaiyat
Published: April 2024

This conceptual paper examines the democratic competencies embedded in student-centric classroom practices, argues for the potentiality of student-centric classroom activities in catering to an inclusive classroom environment, and concludes that students’ participation in classroom activities that facilitate democratic competencies may contribute to inclusive classroom practices. Literature suggests that democratic education upholds the principles of inclusion in classroom practices by addressing any means of oppression since democratic values ensure free and active participation of students. Bangladeshi classroom scenario demonstrates a disparate attitude on the part of the students where a significant portion of the students remain silent during classroom activities. For this research, data was retrieved from secondary school students to fathom whether student-centric classroom activities (that reflect democratic competencies) add value to the idea of inclusive classroom practices. The study found that democratic competencies are practiced in Bangladeshi classrooms and students hold a positive attitude, hence, there is a scope for promoting inclusion through such practices. One key implication of this study is that more research is needed to operationalize the democratic competencies for the Bangladeshi classroom context for an inclusive classroom.
Trade Openness and Economic Growth in Nigeria: An Autoregressive Distributed Lagged (ARDL) Model Approach
Authors: Peverga Kator
Published: April 2024

The rationale behind undertaking this study stems from the observation that prior studies have failed to establish a consensus regarding the impact of trade openness on economic growth, largely due to research methodological deficiencies. Thus, this study investigated thе impact of tradе opеnnеss on Nigеria’s еconomic growth from 1980 to 2022. Thе Autorеgrеssivе Distributеd Laggеd (ARDL) Modеl was usеd to dеtеrminе thе long-run and short-run еffеcts of thеsе variablеs. Thе rеsults show that tradе opеnnеss positivеly impacts Nigеria’s long-tеrm еconomic growth, that is increased trade liberalization leads to increased long-run growth. The study recommends Nigeria’s government to promote trade libеralization, rеducе barriеrs, and еnhancе tradе tеrms by divеrsifying еxports and adding valuе.
Empirical Investigation of Government Expenditure and Tax Payers Compliance in Nigeria
Authors: Werigbelegha ANDABAI Priye , Esther PATRICK
Published: April 2024

The research looks at taxpayer compliance and government spending in Nigeria’s economy from 1992 to 2022. The CBN statistics bulletin from 2022 served as the source of the data. The research used many factors, including public capital spending, government recurrent expenditure, compliance with value-added tax, firm income tax compliance, and gross domestic product and put (GDP), as indicators of the Nigerian economy. Analytical methods for the research included time-series econometrics. Additionally, the analysis demonstrates that capital expenditures by the government significantly boost Nigeria’s GDP. Although insignificant, government recurrent spending has a favourable effect on Nigeria’s GDP. Nigeria’s gross domestic product benefits greatly from value-added tax compliance and Company income tax compliance. According to the coefficient of determination, changes in government spending variables may account for almost 78% of the fluctuations in the Nigerian economy. The paper concludes that government expenditure and tax payers’ compliance has a substantial outcome on the Nigerian economy. Recommendations are that, Government should reduce the amount set on value added tax and company income tax, to boost compliance and that generated tax revenue must be sufficiently, efficiently and judiciously utilized. Fiscal policies towards increase in recurrent expenditure should be the norm. Government should spend more on recurrent expenditure because it has a positive impact on the economy. Lastly, capital projects should be well supervised to ensure that it meets the needs of the people.
Nursing Students’ Perception and Compliance with Clinical Nursing Placement at a Selected University Teaching Hospital in Nigeria
Authors: Maitanmi Julius O. , Adewale Deborah , Maitanmi Bukola T. , Bamigboye Theresa O. , Adisa Abosede C. , Adesuyi Emmanuel O. , Anokwuru Rafiat A.
Published: April 2024

Aim: To investigate nursing students’ perceptions of their clinical training at a selected university teaching hospital in Nigeria. 
Method: This was a descriptive cross-sectional design. A simple random sampling technique was used to select 198 nursing students at Babcock University in Ilishan-Remo, Ogun State, Nigeria. An interviewer-administered questionnaire was used to collect data from the respondents. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS Version 25) and presented in tables and charts. 
Results: This study reveals that 73.23% of the respondents had high knowledge of clinical nursing training, and 78.8% of the respondents had a good perception of clinical nursing training. Furthermore, respondents often complied with clinical posting (mean = 3.35, STD = 0.768), and the study shows that factors relating to clinical supervision and the support accessible during clinical placement influence nursing students’ compliance with clinical nursing practice (mean = 4.06, STD = 1.031). 
Conclusion: The findings from the study conclude that the perception of nursing students towards clinical nursing training was positive, though some factors affected compliance with clinical nursing practice. Hence, the study recommends the implementation of preclinical orientation, explicit dissemination, and clarification of clinical learning objectives to enhance compliance rates among students during their clinical placements.
STRESSORS AND COPING MEASURES AMONG UNDERGRADUATE NURSING STUDENTS IN WESTERN NIGERIA
Authors: Francis-Edoziuno Confidence , Abiona Mary , Odetola Titilayo
Published: April 2024

Nursing students are frequently exposed to various stressors throughout their training; the resultant stress affects their personal, professional, and academic achievements and well-being directly or indirectly. This study aimed to identify the causes/sources of stress, the levels of stress, coping measures, and possible suggestions for reducing stress and its effects among nursing students. A descriptive cross-sectional design was used to assess stress and coping variables among undergraduate nursing students at a federal university in Western Nigeria. This study recruited 151 full-time undergraduate nursing students in their first to fifth study years using a simple random sampling technique. Data were collected using the Perceived Stress Scale (PSS) and self-structured questions. The results were summarized using descriptive statistics of frequency, percentages, and mean ± SD.  Academic, personal, financial, and relationship-related stressors were found to be the most common sources of stress. Most of nursing students experienced either low (47.7%) or severe (44.3%) stress levels and coped with it through positive thinking, optimism, sleep, and relaxation. Respondents suggested that more emphasis be placed on health promotion programs, reducing the number of exams in a week, and teaching students how to develop their social, coping, and time management skills.
Ứng dụng quy trình làm tăng độ tin cậy, chính xác trong minh giải tài liệu địa chấn 3 chiều để lập bản đồ cấu trúc và dự đoán phân bố thạch học cho tập vỉa turbidite Miocene trên, mỏ Mộc Tinh, Lô 05-3, bể Nam Côn Sơn
Authors: Hoàng Minh Hải , Lương Sỹ Hải , Ngô Anh Quân , Nguyễn Quán Phòng , Trần Ngọc Thế Hùng
Published: April 2024

Vỉa turbidite Miocene trên, UMB15-20, là vỉa chứa khí - condensate chính, có đặc tính rỗng - thấm rất tốt ở mỏ Mộc Tinh. Tài liệu địa chấn phản xạ và kết quả tính toán mô hình vật lý cho thấy đỉnh và đáy tập vỉa cát này đã phản xạ sóng địa chấn mang thuộc tính AVO loại III hoặc IIp không thống nhất ở tất cả 8 giếng khoan. Thuộc tính đó đã gây ra một số khó khăn trong quá trình xác định các phản xạ địa chấn tương ứng để lập bản đồ cấu trúc địa chất đỉnh/đáy của tập vỉa và dự đoán phân bố thạch học bằng các phương pháp minh giải địa chấn thông thường. Công ty Điều hành Dầu khí Biển Đông đã áp dụng quy trình minh giải - phân tích bằng việc tích hợp đặc tính cơ lý đất đá (petrophysics), mô hình AVO, nghịch đảo địa chấn trước cộng và thẩm định lại với kết quả nghiên cứu địa vật lý giếng khoan - địa chấn để đánh giá độ chính xác, tin cậy của các khối thuộc tính địa chấn, các giá trị ngưỡng tương ứng với loại vỉa chứa/không phải vỉa chứa, từ đó lập bản đồ và dự đoán phân bố tập vỉa cát chứa trên mỏ. Kết quả của ứng dụng trên đã thành lập được bộ sản phẩm gồm các bản đồ đỉnh/đáy tập vỉa và ranh giới phân bố tập vỉa UMB15-20 đạt độ tin cậy cao nhất. Bộ bản đồ này đã được sử dụng cho công tác tính toán tài nguyên dầu khí tại chỗ, lập mô hình tĩnh/động để hỗ trợ công tác vận hành và quản lý khai thác mỏ. Ngoài ra, các tài liệu này còn được sử dụng phục vụ cho công tác tối ưu hóa vị trí giếng khoan đan dày và khoan thăm dò sắp tới của Bien Dong POC.
Nghiên cứu xây dựng công cụ bảng điều khiển hỗ trợ quản lý khai thác thông minh theo thời gian thực tại cụm mỏ Hải Thạch - Mộc Tinh
Authors: Trần Ngọc Trung , Nguyễn Thành Trung , Nguyễn Duy Minh , Đào Quang Khoa , Trần Vũ Tùng , Hoàng Kỳ Sơn , Ngô Hữu Hải
Published: April 2024

Công ty Điều hành Dầu khí Biển Đông (Bien Dong POC) sử dụng hệ thống quản lý dữ liệu khai thác hay hệ thống thu thập, truyền và xử lý dữ liệu công nghệ (Production Data Management System - PDMS) cho cụm mỏ Hải Thạch - Mộc Tinh với sự hỗ trợ của các công nghệ như: học máy, trí tuệ nhân tạo và dữ liệu lớn. Hệ thống PDMS kết hợp với công cụ bảng điều khiển hỗ trợ quản lý khai thác thông minh theo thời gian thực đã tạo điều kiện cho việc thu thập, giám sát và đánh giá quá trình khai thác, giám sát động thái mỏ và tối ưu khai thác. Công cụ này đã đưa ra các phương án khai thác phù hợp với nhu cầu huy động khí của bên mua, cũng như đề xuất các giải pháp tối ưu cho các kỹ sư vận hành khai thác.
Ứng dụng học máy để dự báo sự thay đổi của tỷ số condensate khí theo thời gian nhằm phục vụ việc lên kế hoạch và quản lý mỏ khí condensate
Authors: Ngô Hữu Hải , Trịnh Xuân Vinh , Nguyễn Ngọc Tân , Hoàng Kỳ Sơn , Ngô Tuấn Anh , Trần Ngọc Trung , Trần Vũ Tùng , Nguyễn Sỹ Tuân
Published: April 2024

Một trong những thông số quan trọng nhất để đánh giá, dự báo và quản lý các vỉa khí condensate là tỷ số condensate khí của giếng theo thời gian khai thác. Thông số này có xu hướng giảm dần do áp suất vỉa suy giảm trong quá trình khai thác. Với cách tiếp cận truyền thống, mẫu chất lưu khí và condensate được lấy tại thời điểm ban đầu cũng như định kỳ trong quá trình khai thác để thực hiện phân tích thành phần chất lưu, xác định tỷ số condensate khí và phân tích tính chất chất lưu (thí nghiệm PVT). Tuy nhiên, việc lấy mẫu, vận chuyển và phân tích mẫu mất nhiều thời gian cũng như chi phí. Ngoài cách tiếp cận trên, phương pháp mô hình hóa thành phần và động thái chất lưu trong vỉa cũng thường được áp dụng. Phương pháp này chứa đựng nhiều yếu tố rủi ro vì phụ thuộc nhiều vào các thông số đầu vào giả định bao gồm cấu trúc vỉa, tương tác giữa các pha và các thông số tính chất khác của vỉa chứa. Do đó, ứng dụng học máy vào việc dự báo sự thay đổi của tỷ số condensate khí của giếng theo thời gian trong nghiên cứu này là một hướng đi mới hiệu quả để bổ trợ cho các phương pháp truyền thống.
Đánh giá tình trạng và dự báo tuổi thọ hữu ích còn lại của bộ trao đổi nhiệt dạng tấm thông qua dự báo ngắn hạn giá trị chênh áp dòng nước biển
Authors: Trần Ngọc Trung , Nguyễn Thành Trung , Nguyễn Duy Minh , Đào Quang Khoa , Trần Vũ Tùng , Trần Đức Thắng
Published: April 2024

Bảo trì tiên đoán giúp tối đa hóa thời gian vận hành của thiết bị thông qua việc ước tính tuổi thọ hữu ích của thiết bị hay thời điểm có thể xảy ra hỏng hóc. Nhóm tác giả đã thực hiện dự báo ngắn hạn giá trị chênh áp dòng nước biển tại bộ trao đổi nhiệt dạng tấm bằng mạng bộ nhớ dài - ngắn hạn (long short-term memory, LSTM) và qua đó dự báo tuổi thọ hữu ích còn lại (remaining useful life, RUL) bằng mô hình hồi quy phi tuyến (nonlinear regression). Mô hình đề xuất đã đạt được độ chính xác cao bằng cách liên tục phát hiện các điểm lưu (checkpoint) và dự báo giá trị RUL liên tục mỗi 24 giờ. Các điểm lưu được phát hiện thông qua phát hiện giá trị chênh áp bất thường tại bộ trao đổi nhiệt dạng tấm trong quá trình hoạt động. Qua đó giúp cập nhật giá trị tuổi thọ hữu ích còn lại ngay khi có các biến động không lường trước được trong quá trình vận hành thiết bị.
Human Resource Development Practices and Turnover Intentions among Basic School Teachers: The Mediating Role of Career Commitment
Authors: Bortsie Theresa A.
Published: April 2024

Purpose: The study sought to examine the influence of perceived support for participation in human resource development (HRD) practices on teacher turnover intentions in the Tolon District of the Northern Region of Ghana.
Methodology: Using a cross-sectional survey design, questionnaires were used to collect data from 120 teachers from the Tolon Senior High School.  Data were analyzed using PROCESS macro ver. 4.2.
Findings: Results from regression analysis showed that perceived support for participation in HRD practices had a negative relationship with teacher turnover intentions. It was further found that teacher career commitment mediates the negative relationship between perceived support for participation in HRD practices and turnover intentions.
Unique contribution to theory, policy and practice: The study contributes to the existing body of knowledge on the application of social exchange theory (SET) in understanding workplace dynamic and highlights the importance of fostering a supportive work environment that encourages employee participation in HRD activities, such as training programs, mentorship initiatives, and career development opportunities
Efficacy of on Farm Bovine Stool Examination as Compared to Postmortem for Fascioliasis
Authors: Gakuo W. Florence , Ngeiywa M Moses , Rono Salina
Published: April 2024

Purpose: The aim of this research was to determine prevalence of fascioliasis by examination of liver for adult flukes and bovine stool at the farm in Uasin Gishu County.
Methodology: Stool examination and routine meat examination procedures were used.
Findings: The results at postmortem showed that female bovine were significantly (P<0.05) more infected (47.4%) compared to male cattle (32.8%). Ayrshire breed had higher infection rate (38.1%) compared to the other breeds, with the local breed having a significantly (p < 0.05) lowest infection rate (11.5%) Older cattle (over 48 months) had a significantly (p < 0.05) higher infection compared to the younger age groups. More slaughtered cattle were sourced from Uasin Gishu compared to other regions and they were also significantly (P<0.05) more infected (at 47.1%) than cattle from the other regions. Results for stool examination also had a similar trend. There was a significant difference in the rates of Fasciola infections in cattle in the six Sub counties. Fasciola infection between the male and female, between Ayrshire, Friesian and local breed, between age 8-24, age 25-48 and age 48 were also significant. More females were infected followed by animals aged between 25-48 months. Friesian breed was the most infected and sampled on farms in the field among the breeds with the least infected being the local breeds which showed more resistance to fascioliasis than the other groups. F. hepatica was the most common species infecting the cattle, although some animals were found to have mixed infections. The results of stool analysis also showed that more female cattle and the animals aged between 25-48 months were more infected. Friesian breed were more infected during stool examination among the bovine breeds with the least infected being local breeds which suggests that they are more resistance to fascioliasis than the exotic breeds. Stool analysis prevalence was 28% while liver examination was 40%. Stool analysis was found to be a suitable method for routine management of livestock in order to reduce losses that are associated with liver flukes. 
Unique contribution to theory, policy and practice: Uasin Gishu contributed the highest number of slaughtered animals in the Eldoret main abattoir and therefore farmers in the region should be advised on the best cattle management practices such as regular stool analysis deworming and avoiding grazing their cattle in potentially snail infested areas.
The Effect of Financial Innovation on the Financial Performance of Financial Institutions in Cameroon
Authors: Molem Sama C. , Messomo Elle S. , Serge Tameta
Published: April 2024

Purpose: The study sought to investigate the effect of financial innovations on financial performance of depository financial institutions in Cameroon. The specif objectives of the study were to examine the effect of product, process and institutional innovation on the financial performance of financial institutions
Methodology: The study adopted a cross sectional research design. Purposive and convenience sampling methods were used to select 210 respondents from 75 financial institutions in Cameroon. Primary data was collected using a self-administered questionnaire. Data collected was sorted, coded and analyzed using the Statistical Package for Social Sciences (SPSS v22.0). Data collected was analysed descriptively with the use of mean and inferentially with the use of ordered logit regression model and Pearson correlation metrix to establish the relationship between the dependent variable and the independent variables and the results were presented in tables.
Findings: The findings show that increased financial innovation through process and institutional innovation can increase financial performances. For the basic regression used to find banks’ performance, the analysis indicates that process and product innovation, measured by the ATM, POS, mobile banking and credit card, significantly influences financial performance of financial institutions. Although there is no significant effect of institutional innovation on financial performance, there is still a positive effect.
Unique Contribution to Theory, Policy and Practice: The study therefore recommended that further study can be carried out on the effect of financial innovation on performance of depository financial institutions using different methods. In addition, depository financial institutions should transform banking service by adapting to process innovation so as to increase access to financial services.
Rehabilitation Strategies for COVID-19 Survivors: A Guide to Restoring Functional Independence
Authors: Baladaniya Maheshkumar , Baldania Shraddha
Published: April 2024

The pandemic of coronavirus disease 2019 (COVID-19) and the response to it are creating a tsunami of rehabilitation needs. This white paper offers a comprehensive guide to designing effective rehabilitation strategies for individuals recovering from COVID-19. With a focus on treating respiratory and neuromuscular dysfunctions, the rehabilitation demands of COVID-19 survivors are becoming more widely acknowledged. Focused on restoring functional independence, the paper addresses key considerations in the rehabilitation process, including musculoskeletal, respiratory, cardiovascular, and psychosocial aspects. This white paper serves as a valuable resource for healthcare professionals and individuals seeking guidance on effective rehabilitation strategies post-COVID-19, emphasizing the restoration of functional independence.
The Analytical Trait in FIKR (Facet, Insight, Knowledge and Resilience) Personality Profiling as an Important Personality Trait to Identify the Climate Changer Leadership: A Lacking Knowledge in the Literature
Authors: Yap Chee Kong , Leow Chee Seng , Leong Wing Sum Vincent
Published: April 2024

Purpose: This short note aims to review all the available literature using the keywords ‘Leader Personality’ in the Scopus database and propose the usage of analytical traits in FIKR (Facet, Insight, Knowledge and Resilience) personality profiling (PP) to identify climate changer leadership with logical rationales.
Methodology: Using the Scopus database on 26 April 2024, with the keywords ‘Leader Personality’ in the article title. Bibliometric analyses were performed using VOSviewer to generate a clear graphical representation of bibliometric maps.
Findings: A total of 250 papers were reached using the Scopus database search, which had high relevancy. Based on the visualization of the paper network confirming the main research themes, from 1920 to 2024, 20 items with 6 major clusters were found. However, the item with Analytical was not found in all the 6 major clusters. Therefore, all the above literature indicates that the use of analytical trait among leaders is still lacking in the literature. Following that, the usage of analytical traits in FIKR (Facet, Insight, Knowledge and Resilience) personality profiling (PP) to identify the climate changer leadership is proposed, with a hypothetical comparison of leadership between high and low analytical traits. A hypothetical comparison of leadership between high and low analytical traits can be used since a) Overall, a high analytical trait uses data-driven decisions, while low analytical personalities rely on intuition in leadership roles; b) Good communication style where high analytical leaders emphasize clear communication, while low analytical leaders use storytelling and emotional appeals; c) Efficient indecision-making process, where high analytical personalities analyze thoroughly before decisions, while low analytical individuals rely on instinct; d) Positive impact on team dynamics where teams under high analytical leaders focus on data-driven metrics, while teams under low analytical leaders emphasize creativity; e) Approach to challenges, where high analytical leaders break down challenges for systematic problem-solving, while low analytical leaders tackle challenges holistically.
Unique contribution to theory, practice and policy: Hence, there is a rationale to propose and to highlight the use of analytical trait in leaders of an organization. Therefore, this has become a novelty in this present paper. Overall, this analytical trait enables leaders to understand the complexity of climate change and its impact on various sectors, such as energy, agriculture, and transportation.
Exploring Students’ and Teachers’ Perceptions of Student-Centered Learning in a Community College, England – United Kingdom
Authors: Oluwafunmilola Rebecca Oluwatosin
Published: April 2024

Purpose: Student-centered learning technique is no longer a new pedagogical approach to classroom teaching. Its use as a teaching technique is now a universal move in teaching and learning practices. This study explores students’ and teachers’ perception on the effectiveness of student-centered teaching/learning approach on the learning practices of students in a selected community college in a metropolitan city of England. Several literatures were also explored in order to get indepth knowledge into the conceptual and empirical framework of the subject matter.
Methodology: This research was a case study, thereby the research method was a mixed method research. Questionnaire was used to collect the quantitative data, while interview was used to collect the qualitative data. The study found that a number of factors influence how positively student-centered learning approaches affect students' learning practices.
Findings: The findings revealed cooperative approach, which consists of various types of group tasks, motivating factors like independence and opinion exchange, and teaching/learning instruments like debates, discussions, presentations, etc.
Unique contribution to theory, policy and practice: This study demonstrates that the development of cooperation and collaboration is one of the key outcomes of a student-centered learning method. Students are more able to view one another as complements rather than rivals. Student achievement in the classroom is supported by student-centered learning, which is another essential aspect. Through various exercises, students may increase their scores, which makes it simple for them to reach their desired grade.
Global Positioning System Signal Verification through Correlation Function Distortion and Received Power Tracking
Authors: Meitivyeki Moses Michael , Liu Haiying
Published: April 2024

Purpose: This study proposes a significantly improved method for detecting, classifying, and isolating Global Navigation Satellite System (GNSS) signals using the relationship between the measured power and the distortion of the correlation function to achieve the signal verification required for Global Positioning System (GPS) civil applications such as safe civil aircraft navigation.
Methodology: The suggested approach uses power and distortion measurements in the received signal to identify it as jammed, multipath, spoofing, or no-interference. By adding an isolator scaling factor to the detector, the signal patterns will be induced with a unique temporary factor that will set it apart from the rest and make it possible to easily position each signal in its own zone. The detector divides the four signal types into distinct zones for verification.
Findings: The sufficient signal data is analyzed and the extensive simulation conducted indicates that about 94% detection accuracy is achieved which is relatively high.
Unique contribution to theory, practice and policy: This study is implemented through the development of relevant detection software tools with a user-friendly interface for GNSS signal detection, validation and analysis.
Critical analysis of hybrid learning models to detect morphed images
Authors: Kumari Noble , Mohapatra A. K.
Published: April 2024

Machine learning (ML) algorithms produce different results with the kind of input data set or parameters passed to the algorithm. As per input data set, the analysis generally depends on the data type and amount of data set being used to train and test. Other parameters which affect the machine learning analysis are the CNN parameters or the hybrid approach being used. As there is no similar result for ML analysis on various data set, it is hard to predict which model will work most efficiently on the given data set. In this paper an analytical analysis of machine learning algorithms has been done to examine the working of various algorithms individually or in Hybrid mode. This paper studies CNN, CNN + RF, CNN +SVM approach and the theoretical parameters affecting them which helps in deciding the best suited algorithm with the given data set.
Design of multi-ensemble hybrid filtering approach for removal of heart sound from lung auscultations
Authors: Singh Divya , Singh Bikesh Kumar , Behera Ajoy Kumar
Published: April 2024

Successful lung sound extraction from lung auscultations requires precise filters. Lung auscultations include heart and lung sounds. Therefore, the filter design should identify heart sound characteristics. These include periodicity, pitch, frequency, amplitude, etc. Auscultation acquisition sensors are inefficient, so these signals have noise. To get a clean auscultation signal, ambient noise, periodic noise, DC offsets, baseline errors, harmonic noise, etc. must be addressed separately. Data cleaning must maintain a high peak-signal-to-noise ratio without removing desirable signal information. Heart sound patterns are extracted from input auscultations using filter banks on these signals. After heart sound extraction, the output sound sample should only contain lung sounds. Still, heart sound harmonics corrupt output lung sound due to similarities between heart and lung sound patterns. This lowers lung-sound extraction quality and automatic lung-based disease identification efficiency levels. This article proposes a 2-level multi-ensemble filtering model with 43 filters that analyze 15 other parameters to denoise and extract lung sound from lung auscultations to eliminate these drawbacks. Combining LMS, NLMS, and RLS is used for denoising process. For heart sound identification, an ensemble of Savitzky-Golay, FIR equiripple, Butterworth, Chebyshev, Elliptic, and wavelet filters is used. This selective combination of filters improves PSNR by 20% compared to sole filter performance, while signal entropy, crest factor, root mean squared error, kurtosis, etc. also improves for different scenarios.