bluuebunny/crossref_metadata_2025 huggingface dataset:
SỰ THAY ĐỔI MỘT SỐ LOẠI BẠCH CẦU MÁU NGOẠI VI Ở BỆNH NHÂN UNG THƯ BIỂU MÔ TẾ BÀO GAN NHIỄM VIRUS VIÊM GAN B
Authors: Phạm Châu , Ngô Tất Trung , Phạm Quang Trung , Dương Quang Huy
Published: May 2024

Mục tiêu: Đánh giá sự thay đổi một số loại bạch cầu máu ngoại vi và mối liên quan với gánh nặng khối u và giai đoạn bệnh ở bệnh nhân ung thư biểu mô (UTBM) tế bào gan nhiễm virus viêm gan B (Hepatitis B virus - HBV). Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên 178 bệnh nhân mới được chẩn đoán UTBM tế bào gan nhiễm HBV tại Bệnh viện Quân y 103 và Bệnh viện TWQĐ 108. Tổng phân tích tế bào máu ngoại vi thực hiện trên máy và sử dụng phương pháp đếm laser để phân tách các loại bạch cầu khác nhau. Kết quả: 3,9% bệnh nhân có tăng số lượng bạch cầu, trong đó hay gặp nhất là tăng bạch cầu Mono (40,4%). Ngược lại giảm số lượng bạch cầu ghi nhận ở 7,9% bệnh nhân, trong đó giảm bạch cầu đa nhân trung tính (N) là 3,4% và giảm bạch cầu Lympho là 5,1%. Số lượng bạch cầu N và bạch cầu Mono có liên quan thuận ý nghĩa với tình trạng huyết khối tĩnh mạch cửa và giai đoạn bệnh (p < 0,05). Kết luận: Số lượng bạch cầu N và M là những dấu ấn thể hiện đáp ứng miễn dịch chống u của cơ thể và có thể giúp tiên lượng bệnh.
MỘT SỐ BẤT THƯỜNG DI TRUYỀN THƯỜNG GẶP TRONG VÔ SINH NAM
Authors: Trịnh Thế Sơn
Published: May 2024

Mục tiêu: Mục tiêu của nghiên cứu là xác định tần xuất của các một số bất thường nhiễm sắc thể thường gặp và vi đứt đoạn nhiễm sắc thể Y ở các bệnh nhân vô tinh và thiểu năng tinh trùng nặng tại Bệnh viện Nam học và hiếm muộn Hà Nội và Viện Mô phôi lâm sàng Quân đội. Phương pháp nghiên cứu: Bất thường nhiễm sắc thể và vi đứt đoạn nhiễm sắc thể Y được đánh giá ở 1489 bệnh nhân vô tinh và thiểu năng tinh trùng nặng bằng các phương pháp di truyền tế bào và phương pháp multiplex PCR. Kết quả: Bất thường nhiễm sắc thể dạng Klinerfelter có 121 bệnh nhân, chiếm tỷ lệ 8,13%. Vi đứt đoạn nhiễm sắc thể Y gồm 153 bệnh nhân, chiếm 10,28%. Trong đó, vi đứt đoạn AZFc bao gồm 76 bệnh nhân, chiếm 49,67% tổng số vi đứt đoạn nói chung. Kết luận: Nghiên cứu đưa ra kết luận rằng, phân tích di truyền tế bào và vi đứt đoạn nhiễm sắc thể Y cần thiết được tiến hành ở bệnh nhân vô tinh và thiểu năng tinh trùng nặng trước khi lựa chọn phương pháp hỗ trợ sinh sản.
KẾT QUẢ ĐIỀU TRỊ THOÁT VỊ BẸN BẰNG PHƯƠNG PHÁP MỔ MỞ KIỂU LICHTENSTEIN TẠI BỆNH VIỆN ĐA KHOA THÀNH PHỐ CẦN THƠ
Authors: La Văn Phú , Đoàn Anh Vũ , La Vĩnh Phúc
Published: May 2024

Đặt vấn đề: Thoát vị bẹn là bệnh lý thường gặp trong các bệnh lý ngoại khoa, gặp ở mọi lứa tuổi và có thể dẫn đến các biến chứng nguy hiểm. Mục tiêu: Mô tả đặc điểm lâm sàng, siêu âm và đánh giá kết quả sớm điều trị thoát vị bẹn bằng phương pháp mổ mở kiểu Lichtenstein tại Bệnh viện đa khoa Thành phố Cần Thơ. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang tiến cứu trên 59 bệnh nhân thoát vị bẹn tại Bệnh viện đa khoa Thành phố Cần Thơ từ tháng 04/2017 đến tháng 07/2018. Kết quả: Bệnh nhân thoát vị bẹn bên phải chiếm 62,7%. Tỷ lệ khối thoát vị bẹn nguyên phát là 98,3%; 1,7% tái phát. Tỷ lệ thoát vị bẹn gián tiếp chiếm 74,6%. Phân loại thoát vị bẹn theo Nyhus: loại IIIB (84,7%); loại IIIA (13,6%), IVB (1,7%). Kết quả siêu âm có 37,3% tạng thoát vị là quai ruột; 47,5% bệnh nhân tạng thoát vị là mạc nối và 15,3% vừa quai ruột và mạc nối. Đánh giá kết quả điều trị: Sau 1 tuần tái khám kết quả điều trị tốt chiếm 94,9%. Tỷ lệ điều trị tốt chiếm 98,3% sau 1 tháng, 100% bệnh nhân có kết quả tốt ở thời điểm tái khám 3 tháng. Kết luận: Phẫu thuật Lichtenstein là một phương pháp an toàn, hiệu quả trong điều trị thoát vị bẹn.
TÌNH TRẠNG DINH DƯỠNG CỦA BỆNH NHÂN UNG THƯ ĐƯỜNG TIÊU HÓA TRƯỚC PHẪU THUẬT THEO BMI VÀ SGA TẠI BỆNH VIỆN ĐA KHOA THÀNH PHỐ CẦN THƠ
Authors: La Văn Phú , Nguyễn Thị Nga , Nguyễn Văn Non
Published: May 2024

Đặt vấn đề: Tình trạng dinh dưỡng của bệnh nhân ung thư tiêu hóa thường ảnh hưởng rất nhiều đến khả năng hồi phục của bệnh nhân. Mục tiêu nghiên cứu: Đánh giá tình trạng dinh dưỡng của bệnh nhân ung thư đường tiêu hóa trước phẫu thuật theo phương pháp BMI và SGA. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên tổng số 60 bệnh nhân ung thư tiêu hóa tại bệnh viện đa khoa thành phố Cần Thơ. Kết quả: Tuổi trung bình là 64±11,9. Tỷ lệ nam/nữ là 3/4. Tỷ lệ suy dinh dưỡng đánh giá theo BMI là 28,4%, đánh giá theo SGA là 70,0%. Thời gian hậu phẫu từ 8-14 ngày chiếm tỷ lệ cao nhất 60%. Thời gian nằm viện >14 ngày chiếm tỷ lệ 81,6%. Tình trạng suy dinh dưỡng nặng có >14 ngày hậu phẫu chiếm tỷ lệ 80,0%. Tình trạng dinh dưỡng bình thường không có trường hợp nào nằm viện trên >14 ngày. Sự khác biệt này có ý nghĩa thống kê (p=0,001). Tình trạng SDD nặng có tỷ lệ nằm viện >14 ngày là 83,3%, cao gần 5 lần so với ra viện 8-14 ngày, sự khác biệt này không có ý nghĩa thống kê (p=0,111). Kết luận: Tỷ lệ người bệnh suy dinh dưỡng theo BMI và SGA khác nhau. Theo SGA, Người bệnh bị suy dinh dưỡng khá cao và có sự liên quan với thời gian hậu phẫu (p<0,05).
THỰC TRẠNG CÔNG TÁC GIÁO DỤC SỨC KHỎE CỦA ĐIỀU DƯỠNG CHO NGƯỜI BỆNH ĐÁI THÁO ĐƯỜNG TYPE 2 TẠI BỆNH VIỆN NỘI TIẾT TRUNG ƯƠNG
Authors: Đỗ Thị Thu Hiền
Published: May 2024

Mục tiêu: Mô tả thực trạng công tác giáo dục sức khỏe của điều dưỡng cho người bệnh đái tháo đường type 2 tại Bệnh viện Nội tiết Trung ương. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên 100 người bệnh được chẩn đoán đái tháo đường type 2 đang điều trị nội trú tại Khoa tim mạch - Bệnh viện Nội tiết Trung Ương trong thời gian từ tháng 03/2022 đến 6/2022. Kết quả: Phần lớn người bệnh được Điều dưỡng tư vấn, hướng dẫn về chế độ sử dụng thuốc và chế độ dinh dưỡng chiếm lần lượt 93% và 91%. Có 82 người bệnh nhận xét Điều dưỡng thực hiện tốt, đầy đủ việc tư vấn, hướng dẫn theo dõi phát hiện biến chứng chiếm 82%. Có 87% người bệnh được hướng dẫn, tư vấn đầy đủ việc tái khám định kỳ. Kết luận: Thực trạng công tác giáo dục sức khỏe của điều dưỡng cho người bệnh đái tháo đường type 2 được NB đánh giá khá cao với 83% ở mức đạt.
Effect of oral administration of in silico epitope-based SARS-CoV-2 virus with ISCOM adjuvants on increasing the number of NK cells and serum IgG in mice
Authors: Irma Nur Sukmawati  , Meike Tiya Kusuma  , Khoirul Anam  , Sumarno Retro Prawiro
Published: May 2024

Background: Vaccines are one of the best solutions to deal with the COVID-19 pandemic. Epitope vaccines can be searched in silico. The selection of in silico epitope-based SARS-CoV-2 which is used as a vaccine candidate must be able to trigger an immune response, such as proteins from the spike (S), envelope (E), membrane (M) in SARS-CoV-2. This study aims to determine the potential for in silico epitope-based SARS-CoV-2 from S, EM, and SEM which is immunogenic, non-toxic, and non-allergenic. And evaluate the immune response by measuring the number of NK cells in the spleen and serum IgG levels in mice.
Method: This research was carried out in 2 stages, an in silico exploratory study and an experimental study. The exploratory stage consisted of selecting immunogenic, non-toxic, non-allergic vaccine candidates, molecular docking tests, and epitope conjugation with an adjuvant in the form of ISCOM which was observed with a TEM microscope. The first group was the control, and the second group was given ISCOM. The remaining groups were each given the S, EM, and SEM epitope which had been conjugated with ISCOM and all were given orally. In 5 groups, NK cell levels were measured using a flow cytometer, while IgG levels were measured using Elisa.
Research: The results of the in-silico test showed that 3 epitopes of S (FLVLLPLVSSQCVN), E (VNSVLLFLAFVVFLLVTLASS), and M (LYIIKLIFLWLLWPVTLACFV-LAAVY) were immunogenic, non-toxic, and non-allergic. Oral administration of in silico epitope-based SARS-CoV-2 in mice could increase the highest number of NK cells in the administration of S epitope. Meanwhile, the highest serum IgG level was given with the combination of SEM epitope.
Conclusion: Oral administration of an in-silico epitope based on SARS-CoV-2 from spike, envelope, and membrane can increase the number of NK cells in the spleen and IgG levels in mice.
The use of urine lipoarabinomannan for establishing pulmonary TB in HIV patient: case report and systematic review
Authors: Margono Djiwa , Yulianti Ningtias Pranudiah , Kusumaningrum Ardiana , Prasetyo Dimas Seto
Published: May 2024

Introduction: Indonesia is still the country that provides the second-largest estimated number of TB cases worldwide. Several patients had TB with HIV-positive. HIV-positive patients with symptoms suggestive of pulmonary tuberculosis often difficult to produce sputum of sufficient quality. Lateral flow lipoarabinomannan examination with urine specimens is expected to be easy, inexpensive, fast, and accurate point-of-care testing. The aim of this research was to assess the sensitivity and specificity of the lateral flow method in detecting lipoarabinomannan (LAM) from urine specimens in HIV-positive patients with suspected pulmonary tuberculosis. Sputum cultures were utilised as a reference standard.
Case Description: A 21-year-old male patient came to the clinic complaining of a cough that had not subsided since the previous month. Cough felt throughout the day with a little white phlegm. The patient admitted to having high-risk sexual behavior and had been tested positive for HIV but had not started antiretroviral therapy. The laboratory examination results showed that the leukocyte count was 3600/mm3 and the radiological examination revealed a chest X-ray within normal limits. The patient had been tested for sputum smears with negative results but was still advised to start TB treatment. The patient has not started treatment because he feels that his sputum smear test results are negative. Currently, the patient is not willing to have his sputum checked again. The polyclinic doctor knows the lipoarabinomannan (LAM) examination that uses urine specimens to diagnose TB but does not yet know its effectiveness for this patient.
Conclusion: In this case report, the patient was unwilling to do a diagnostic test related to the TB. The systematic review was that the Alere Determine™ TB LAM Ag may not be clinically applicable for diagnosing tuberculosis infection in patients living with HIV at this time. However, Fujifilm SILVAMP TB LAM® could be regarded as a supplementary tool to the established diagnostic protocol for tuberculosis in HIV-positive patients.
Various types of extended spectrum β-lactamases: a literature review
Authors: Rastuti Made Rina , Budayanti Ni Nyoman Sri , Dwija Ida Bagus Nyoman Putra
Published: May 2024

The inappropriate use of antibacterials causes the spread of resistance in bacteria and increases the health burden of infection due to the nature of resistance to many classes of antibiotics which are referred to as multi-resistant (multidrug resistant). Extended spectrum β-lactamase (ESBL) is one of the enzymes that cause multi-resistance, where bacteria with this enzyme become resistant to third-generation cephalosporin antibiotics which are often used to treat gram-positive and gram-negative bacterial infections in humans with minimal side effects. β -lactamase is an enzyme capable of hydrolyzing the β-lactam ring in β -lactam class antibiotics so that antibiotics become inactive. Mutations in the gene that encodes this enzyme produce a β-lactamase enzyme which can break down the β-lactam ring in all penicillin and cephalosporin antibiotics. The classification of β-lactamases is complex due to genetic, biochemical properties, and substrate affinity for β-lactamase inhibitors. There are also various types of ESBL enzyme-coding genes including TEM, SHV, CTX-M, VEB, PER, OXA, SFO-1, BEL-1, BES-1, TLA-1, and GES. This study aims to review various types of extended-spectrum β-lactamases.
Congenital neurosyphilis in neonatal sepsis by Leclercia adecarboxylata: a case report
Authors: Tanaya Putu Wahyu Dyatmika , Manuaba Ida Ayu Sri Kusuma Dewi , Saputra I Wayan Agus Gede Manik
Published: May 2024

Introduction: Sepsis remains a leading cause of morbidity and mortality in neonates. In accordance with the development of diagnostic testing, various pathogens have been found to cause neonatal sepsis, ranging from common to even rarer pathogens. Leclercia adecarboxylata is a Gram-negative bacillus rarely found in neonatal sepsis and was previously found predominantly in environmental settings and the human gastrointestinal tract as commensal bacteria. We describe a rare case of Leclercia adecarboxylata in neonatal sepsis with congenital neurosyphilis.
Case Description: We present a male neonate born from a positive syphilis serological test mother, presented with sepsis manifestation. Blood culture reveals growth of Leclercia adecarboxylata. The patient received both therapeutic regimens of antibiotics for sepsis and congenital syphilis. The cerebrospinal fluid analysis also performed revealed suggestive of congenital neurosyphilis. The patient passed away due to multiple organ failure.
Conclusion: Neonatal sepsis and congenital neurosyphilis present with identical manifestations; therefore, appropriate recognition and comprehensive management should be done
Profil Kemampuan Berpikir Kritis Siswa dalam Menyelesaikan Soal AKM Numerasi
Authors: Rohim Abdur , Rofiki Imam
Published: May 2024

Salah satu upaya pemerintah dalam meningkatkan mutu peserta didik adalah dengan adanya AKM. Kompetensi yang diukur pada AKM diantaranya adalah Literasi Matematika (Numerasi). Dua dari tiga peserta didik belum mencapai kompetensi minimum numerasi. Tujuan dilaksanakan penelitian adalah untuk mengetahui profil kemampuan berpikir kritis siswa dalam memecahkan soal AKM tipe numerasi. Subjek yang diteliti adalah 2 siswa kelas V MI yang berkemampuan matematika sedang. Penelitian menggunakan metode deskriptif kualitatif. Ada 2 instrumen yang diterapkan, yaitu 6 soal AKM Numerasi materi operasi bilangan bulat dan pedoman wawancara. Indikator berpikir kritis yang dipakai terdiri dari 4 indikator, yaitu interpretasi, analisis, evaluasi, dan inferensi. Temuan yang diperoleh adalah subjek yang mempunyai kemampuan matematika sedang memenuhi 3 indikator berpikir kritis, yaitu interpretasi, analisis, dan evaluasi dalam menyelesaikan soal AKM Numerasi. Subjek mengalami kesulitan pada indikator berpikir kritis inferensi yang mana pada indikator ini siswa dituntut untuk memberikan alasan terkait jawaban yang diberikan. Sehingga subjek yang mempunyai kemampuan matematika sedang dapat dikategorikan masuk pada TBK 3 pada materi operasi bilangan bulat.
Estimating A Finite Population Mean Under Two-Phase Sampling Using Exponential Ratio Estimator
Authors: Caren Miriel Oshome
Published: May 2024

Estimation of population parameters such as population mean, and population total has been a major concern in Sample Survey Theory. In sampling theory, researchers employ auxiliary information to improve precision and validity of estimators. This study applies two-phase sampling in estimation of a finite population mean using modified exponential ratio estimator. Two-phase sampling was used since it leverages on the information collected in the first phase, along with auxiliary variables, to guide the selection of a more targeted and efficient second-phase sample, resulting in increased precision for the estimates of interest. Study results showed that the proposed modified exponential ratio estimator produced a smaller Bias and MSE than Shabbir and Gupta (2007), and Singh and Solanki (2013). Further, the proposed estimator produced a higher relative efficiency as compared to Shabbir and Gupta (2007), and Singh and Solanki (2013).
Innovation green technology in the age of cybersecurity: Balancing sustainability goals with security concerns
Authors: Excel G Chukwurah  , Chukwuekem David Okeke  , Cynthia Chizoba Ekechi
Published: May 2024

This study explores the critical intersection of cybersecurity measures and green technologies, aiming to assess their combined impact on sustainability goals and stakeholder implications. Employing a systematic literature review methodology, the research scrutinizes peer-reviewed journals, conference proceedings, and reports from reputable databases, focusing on publications from the year 2010 to 2024. The review identifies key themes, including the integration challenges and opportunities of cybersecurity within sustainable technologies, the evolving landscape of cybersecurity protocols, and the strategic implications for industry leaders, policymakers, and technologists. Key insights reveal the dual imperative of pursuing sustainability alongside security, highlighting the necessity of integrating robust cybersecurity measures without compromising the environmental benefits of green technologies. The study identifies significant challenges at this nexus, such as the rapid evolution of cyber threats and the complexity of embedding cybersecurity in green innovations. It also outlines opportunities for innovation and the development of a security-aware culture that supports environmental sustainability. Strategic recommendations are provided for stakeholders to navigate these complexities, emphasizing the importance of multidisciplinary approaches, continuous learning, and the development of policies that encourage the adoption of secure and sustainable technologies. The study concludes that fostering innovation in green technology requires a concerted effort to integrate cybersecurity measures effectively, underscoring the need for future research to expand the knowledge frontiers in this critical area. This research contributes to the ongoing dialogue on achieving environmental sustainability and technological resilience, offering a foundation for further exploration and action towards these dual objectives.
Keywords: Cybersecurity, Green Technologies, Sustainable Technological, Stakeholder Security Concerns.
Integrating AI with emotional and social learning in primary education: Developing a holistic adaptive learning ecosystem
Authors: Olateju Temitope Akintayo  , Chima Abimbola Eden  , Oyebola Olusola Ayeni  , Nneamaka Chisom Onyebuchi
Published: May 2024

This paper highlights the significance, potential benefits, challenges, and proposed solutions associated with integrating AI-driven tools and platforms into SEL initiatives. The importance of integrating AI with SEL in primary education lies in its ability to foster the holistic development of students. By equipping students with the tools to navigate academic challenges, interpersonal relationships, and emotional regulation, schools can create dynamic learning environments that prioritize the whole child. The potential benefits of integrating AI with SEL are manifold. AI-powered adaptive learning platforms can personalize instruction, provide targeted support, and promote the development of emotional intelligence and social skills among students. Additionally, AI-driven tools and platforms can facilitate collaborative learning experiences, promote active engagement, and provide real-time feedback to students and educators. However, the integration of AI with SEL also presents various challenges that must be addressed. Ethical considerations, such as data privacy, algorithmic bias, and the digital divide, require careful attention to ensure equitable access and outcomes for all students. Additionally, educators may lack the necessary knowledge and skills to effectively utilize AI tools and platforms for SEL purposes, highlighting the need for training and professional development programs. To address these challenges, collaborative efforts among educators, policymakers, technologists, and researchers are essential. By working together, stakeholders can develop evidence-based practices and solutions that align with the goals and values of primary education. Training and professional development programs for educators, robust policies and safeguards for the ethical use of AI technologies, and equitable access to technology for all students are critical components of successful integration.
Keywords: AI, Learning, Emotions, Social.
Transforming equipment management in oil and gas with AI-Driven predictive maintenance
Authors: Dazok Donald Jambol  , Oludayo Olatoye Sofoluwe  , Ayemere Ukato  , Obinna Joshua Ochulor
Published: May 2024

The oil and gas industry faces significant challenges in managing equipment maintenance due to the complexity and criticality of its assets. Traditional maintenance approaches are often reactive and inefficient, leading to costly downtime and safety risks. However, the emergence of artificial intelligence (AI) and predictive maintenance technologies offers a transformative solution to these challenges. This paper explores the role of AI-driven predictive maintenance in revolutionizing equipment management in the oil and gas sector. AI-driven predictive maintenance leverages machine learning algorithms to analyze equipment data and predict when maintenance is required before a breakdown occurs. By monitoring equipment performance in real-time, AI can identify potential issues early, allowing operators to take proactive maintenance actions. This approach helps minimize downtime, reduce maintenance costs, and improve overall equipment reliability and safety. The implementation of AI-driven predictive maintenance requires a comprehensive strategy that includes data collection, analysis, and integration with existing maintenance practices. Successful adoption of AI-driven predictive maintenance can lead to significant benefits for oil and gas companies, including increased equipment uptime, extended asset lifespan, and enhanced operational efficiency. This paper reviews the current landscape of equipment management in the oil and gas industry, highlighting the limitations of traditional maintenance practices and the need for a more proactive approach. It then examines the principles and benefits of AI-driven predictive maintenance, showcasing real-world examples of its successful implementation. Finally, the paper discusses the challenges and considerations for implementing AI-driven predictive maintenance and provides recommendations for oil and gas companies looking to transform their equipment management practices.
Keywords: Transforming Equipment; Management; Oil and Gas; AI-Driven; Predictive Maintenance.
Enhancing agile product development with scrum methodologies: A detailed exploration of implementation practices and benefits
Authors: Cynthia Chizoba Ekechi  , Chukwuekem David Okeke  , Henry Ejiga Adama
Published: May 2024

This study conducts a systematic literature review to examine the implementation, challenges, and ongoing evolution of Scrum methodologies within Agile product development frameworks. Aimed at understanding how Scrum can be effectively tailored to meet the needs of diverse organizational contexts, especially in scenarios involving remote and distributed teams, the research also seeks to uncover the trajectory of Agile practices' continuous evolution. Employing a rigorous methodology, the review analyzed peer-reviewed articles and conference papers from key academic databases, including IEEE Xplore, ACM Digital Library, and Scopus, published between 2013 and 2024. The selection was based on relevance to Scrum practices, empirical evidence, and theoretical contributions to the field of Agile development. Key insights from the study underscore the critical role of Scrum in enhancing collaboration, flexibility, and responsiveness in product development processes. Challenges identified include the necessity of overcoming organizational resistance and the importance of customizing Scrum practices to align with specific project and team dynamics. Notably, the research highlights Scrum's adaptability in supporting distributed teams through strategic communication and trust-building measures. Furthermore, the study points to the integration of Scrum with DevOps and its application beyond software development as indicators of its evolutionary potential within Agile methodologies. Finally, the study offers strategic recommendations for organizations adopting Scrum, emphasizing cultural adaptation, continuous training, and practice customization. It also suggests avenues for future research, particularly in exploring Scrum's integration with emerging technologies and broader industry applications, contributing valuable insights into enhancing Agile product development efficacy through Scrum methodologies.
Keywords: Scrum Methodologies, Agile Product Development, Distributed Teams, Continuous Evolution.
Geotechnical assessments for renewable energy infrastructure: Ensuring stability in wind and solar projects
Authors: Oloruntosin Tolulope Joel  , Vincent Ugochukwu Oguanobi
Published: May 2024

Geotechnical assessments are crucial for ensuring the stability and longevity of renewable energy infrastructure, particularly in wind and solar projects. This review explores the significance of geotechnical assessments in these projects, highlighting key considerations and challenges. Geotechnical assessments play a critical role in the design, construction, and operation of renewable energy infrastructure, providing essential information about the subsurface conditions that can impact the stability and performance of wind and solar projects. These assessments involve the evaluation of soil, rock, and groundwater conditions to assess their suitability for supporting renewable energy structures. In wind energy projects, geotechnical assessments are essential for determining the foundation design of wind turbines. The soil and rock conditions at the site can significantly impact the stability and load-bearing capacity of the foundation, affecting the overall performance and safety of the turbine. Similarly, in solar energy projects, geotechnical assessments are necessary for designing the foundation of solar panels and support structures, ensuring they can withstand environmental loads and maintain their efficiency over time. One of the key challenges in geotechnical assessments for renewable energy projects is the variability of subsurface conditions. Soil and rock properties can vary significantly over short distances, requiring detailed site investigations to accurately characterize the subsurface conditions. Additionally, the presence of natural hazards such as landslides, earthquakes, and floods can further complicate geotechnical assessments, necessitating robust risk mitigation strategies. Despite these challenges, geotechnical assessments are essential for ensuring the long-term stability and performance of renewable energy infrastructure. By providing valuable insights into subsurface conditions, these assessments help developers and engineers make informed decisions about site selection, foundation design, and risk management, ultimately contributing to the successful implementation of renewable energy projects. In conclusion, geotechnical assessments are vital for ensuring the stability and longevity of renewable energy infrastructure, particularly in wind and solar projects. By providing crucial information about subsurface conditions, these assessments help mitigate risks and ensure the safe and efficient operation of renewable energy projects.
Keywords: Geotechnical Assessments, Renewable Energy, Infrastructure, Stability, Wind and Solar Projects.
Security paradigms for IoT in telecom networks: Conceptual challenges and solution pathways
Authors: Godwin Nzeako  , Chukwuekem David Okeke  , Michael Oladipo Akinsanya  , Oladapo Adeboye Popoola  , Excel G Chukwurah
Published: May 2024

The concept paper explores the critical security challenges posed by the Internet of Things (IoT) in telecom networks and proposes solution pathways to address them. As IoT devices proliferate in telecom networks, they introduce new vulnerabilities and security threats that must be mitigated to ensure the integrity, confidentiality, and availability of network resources and data. The paper begins by highlighting the unique security challenges posed by IoT devices, including their large attack surface, resource constraints, and diverse communication protocols. These challenges are further exacerbated in telecom networks due to the scale and complexity of the infrastructure. To address these challenges, the paper proposes a multi-faceted approach that combines technical, organizational, and regulatory measures. Technical solutions include the use of secure communication protocols, device authentication mechanisms, and encryption techniques to protect data in transit and at rest. Organizational measures focus on improving security awareness and training among network operators and ensuring the secure development and deployment of IoT devices. Regulatory measures advocate for the implementation of standards and regulations that promote security and privacy in IoT deployments. The paper also discusses the importance of collaboration among stakeholders, including network operators, device manufacturers, and regulatory bodies, to address security challenges effectively. By working together, stakeholders can develop and implement best practices that enhance the security of IoT devices and telecom networks. In conclusion, the concept paper highlights the urgent need for robust security paradigms in IoT deployments within telecom networks. By implementing the proposed solution pathways and fostering collaboration among stakeholders, telecom networks can mitigate security risks and ensure the safe and secure deployment of IoT devices.
Keywords: IoT, Telecom, Networks, Security.
Technological innovations and optimized work methods in subsea maintenance and production
Authors: Obinna Joshua Ochulor  , Oludayo Olatoye Sofoluwe  , Ayemere Ukato  , Dazok Donald Jambol
Published: May 2024

Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and production. Remote monitoring and control systems enable real-time data collection and decision-making, enhancing operational visibility and efficiency. Autonomous underwater vehicles (AUVs) offer the capability to conduct inspections and repairs in remote and hazardous environments, reducing human intervention and associated risks. Robotics and automation further streamline maintenance tasks, improving accuracy and reducing downtime. Advanced materials and coatings enhance equipment durability and corrosion resistance, prolonging asset lifecycles and reducing maintenance requirements. In parallel, optimized work methods offer strategic approaches to enhance subsea operations' effectiveness. Predictive maintenance strategies leverage data analytics and machine learning to anticipate equipment failures, enabling proactive interventions and minimizing downtime. Condition-based monitoring facilitates real-time assessment of asset health, enabling timely maintenance interventions and cost savings. Integrated asset management systems provide holistic insights into asset performance and facilitate informed decision-making. Lean operations and continuous improvement methodologies further optimize workflows, driving operational excellence and cost efficiency. Through case studies and industry examples, this paper highlights the successful implementation of technological innovations and optimized work methods in subsea maintenance and production. Furthermore, it explores future trends, regulatory considerations, and the importance of industry collaborations in shaping the future of subsea operations. Ultimately, the integration of these approaches offers a pathway towards enhanced operational efficiency, reduced costs, and sustainable subsea operations.
Keywords: Technological Innovations, Optimized Work Methods, Subsea Maintenance and Production.
The impact of instructional design on language acquisition in multilingual STEM classrooms
Authors: Fadeke Adeola Atobatele  , Olateju Temitope Akintayo  , Patricia Diane Mouboua
Published: May 2024

This conceptual review investigates the profound influence of instructional design on language acquisition within the dynamic context of multilingual STEM classrooms. In an era marked by the intersection of diverse linguistic backgrounds and the growing emphasis on STEM education, understanding how instructional strategies can facilitate language learning alongside scientific inquiry is imperative. This paper navigates through the intricate terrain of curriculum development to elucidate strategies to foster environments conducive to language acquisition and scientific exploration. The strategies for seamlessly integrating language objectives into STEM lessons are central to this exploration. The paper underscores the importance of deliberate planning to embed language proficiency goals within the framework of scientific concepts, thereby facilitating a holistic approach to learning. Furthermore, it illuminates the role of collaborative learning activities in nurturing language skills, emphasizing the synergy between peer interaction and linguistic development. Through collaborative endeavors, students engage in meaningful discourse, negotiating language use while collectively constructing scientific knowledge. Moreover, the review delves into the efficacy of scaffolded instruction as a cornerstone for supporting students' linguistic and cognitive development. By providing structured support tailored to learners' proficiency levels, scaffolded instruction scaffolds students' language acquisition journey while concurrently scaffolding their understanding of complex STEM concepts. This targeted approach not only cultivates language fluency but also fosters conceptual mastery, ensuring equitable access to STEM education for all students regardless of linguistic backgrounds. This conceptual review offers insights into the intricate interplay between instructional design and language acquisition within multilingual STEM classrooms. By delineating strategies for embedding language objectives, fostering collaborative learning, and implementing scaffolded instruction, it contributes to the ongoing discourse on enhancing educational practices that empower students to thrive linguistically and scientifically in the multicultural landscape of modern education.
Keywords: Instructional Design, Language Acquisition, Multilingual, Stem Classrooms, Curriculum Development, Scaffolded Instruction.
Green architecture: Conceptualizing vertical greenery in urban design
Authors: Azubuike Chukwudi Okwandu  , Dorcas Oluwajuwonlo Akande  , Zamathula Queen Sikhakhane Nwokediegwu
Published: May 2024

This executive summary introduces the concept paper on Green Architecture, focusing specifically on the integration of vertical greenery in urban design. Green architecture, characterized by sustainable design principles and environmental consciousness, aims to enhance urban environments by incorporating vegetation into built structures. Vertical greenery, a key component of green architecture, involves the strategic placement of vegetation on vertical surfaces such as walls, facades, and rooftops. This concept paper explores the potential of vertical greenery to mitigate environmental issues in urban areas, improve air quality, reduce the urban heat island effect, and enhance biodiversity. The paper proposes a conceptual framework for conceptualizing vertical greenery in urban design, emphasizing the importance of integrating natural elements into the built environment. It discusses various strategies for implementing vertical greenery, including the selection of suitable plant species, design considerations for irrigation and structural stability, and the incorporation of greenery into urban planning processes. Moreover, the concept paper highlights the social and economic benefits of vertical greenery, such as improved health and well-being for residents, increased property values, and enhanced aesthetics of urban spaces. It also emphasizes the role of stakeholder engagement, interdisciplinary collaboration, and ongoing monitoring and evaluation in the successful implementation of vertical greenery projects. In conclusion, this executive summary outlines the significance of incorporating vertical greenery into urban design practices as a means to promote sustainability, resilience, and livability in cities. By embracing the principles of green architecture and integrating vertical greenery into urban landscapes, cities can create healthier, more vibrant, and environmentally sustainable communities for current and future generations.
Keywords: Urban, Design, Green, Architecture, Vertical.
Leveraging machine learning for vaccine distribution in resource-limited settings: A synthesis of approaches
Authors: Charles Chukwudalu Ebulue  , Ogochukwu Virginia Ekkeh  , Ogochukwu Roseline Ebulue  , Chukwunonso Sylvester Ekesiobi
Published: May 2024

Vaccine distribution in resource-limited settings remains a crucial global health challenge, exacerbated by factors such as inadequate infrastructure, limited resources, and complex supply chains. Leveraging machine learning (ML) holds promise for optimizing distribution efficiency and ensuring equitable access to life-saving vaccines. This paper synthesizes various ML approaches aimed at addressing vaccine distribution challenges in resource-constrained environments. The literature review examines existing research on ML applications in healthcare and vaccine distribution, highlighting key findings and methodologies. Methodologically, criteria were established for selecting relevant studies, with a focus on ML techniques and their effectiveness in resource-limited contexts.  Key ML approaches identified include predictive analytics for demand forecasting, route optimization algorithms for efficient vaccine delivery, and decision support systems for prioritizing distribution efforts. Case studies illustrate successful ML implementations in real-world settings, showcasing improved vaccine coverage and reduced wastage. Despite promising results, challenges persist, including data scarcity, model generalization, and ethical considerations. Future research directions include enhancing data collection methods, refining ML algorithms for specific contexts, and integrating ML solutions into existing healthcare systems. In conclusion, this synthesis underscores the transformative potential of ML in revolutionizing vaccine distribution in resource-limited settings. By addressing logistical barriers and optimizing resource allocation, ML-driven approaches offer a pathway towards achieving universal immunization coverage and mitigating the impact of infectious diseases on vulnerable populations.
Keywords:  Machine Learning, Vaccine Distribution, Resource-Limited Settings, Synthesis of Approaches.
Machine learning insights into HIV outbreak predictions in Sub-Saharan Africa
Authors: Charles Chukwudalu Ebulue  , Ogochukwu Virginia Ekkeh  , Ogochukwu Roseline Ebulue  , Chukwunonso Sylvester Ekesiobi
Published: May 2024

Predicting and preventing HIV outbreaks in Sub-Saharan Africa, a region disproportionately affected by the epidemic remains a significant challenge. This review explores the effectiveness and challenges of using machine learning (ML) for forecasting HIV spread in high-risk areas. ML models have shown promise in identifying patterns and trends in HIV data, enabling more accurate predictions and targeted interventions. ML insights into HIV outbreak predictions leverage various data sources, including demographic, epidemiological, and behavioural data. By analysing these data, ML algorithms can identify high-risk populations and geographical areas susceptible to HIV transmission. This information is crucial for public health authorities to allocate resources efficiently and implement preventive measures effectively. Despite the potential benefits, several challenges exist in using ML for HIV outbreak predictions. These include data quality issues, such as incomplete or inaccurate data, which can affect the reliability of predictions. Additionally, the complexity of HIV transmission dynamics and the need for real-time data pose challenges for ML models. To address these challenges, researchers and practitioners are exploring innovative approaches, such as integrating multiple data sources and using advanced ML techniques. Collaborations between researchers, public health officials, and technology experts are also crucial for developing robust ML models for HIV outbreak predictions. In conclusion, while ML offers valuable insights into HIV outbreak predictions in Sub-Saharan Africa, addressing challenges such as data quality and model complexity is essential for its effective use. By overcoming these challenges, ML has the potential to significantly improve HIV prevention efforts and ultimately reduce the burden of the epidemic in the region.
Keywords:   Machine Learning, AI, HIV Outbreaks: Predictions, Insights.
TORSI PEREKONOMIAN KELUARGA MELALUI SENTUHAN ISTRI NELAYAN “KAJIAN PERAN DAN KONTRIBUSI DALAM PENGEMBANGAN EKONOMI RUMAH TANGGA DIDUSUN POTONBAKO DESA JEROWARU LOMBOK TIMUR"
Authors: Jamil Jamiluddin , Ahmad Busyairi
Published: May 2024

Bagi nelayan, laut merupakan sumber penghidupan bagi keluarga mereka, dan dengan kekayaan laut yang ada di Indonesian, seharusnya menjadikan kehidupan keluarga nelayan lebih dari sekedar layak untuk hidup, namun pada kenyataannya kondisi kehidupan keluarga nelayan yang mendiami pesisir ini justru banyak menyumbang kontribusi terhadap angka kemiskinan di Indonesia, padahal dengan sumber daya alam yang melimpah pada laut mestinya masyarakat nelayan harus dapat mengambil peluang dan kesempatan dalam mengelola sumber daya yang arif dengan memperhatikan kelestariannya. Namun pemanfaatan dan pengambilan peluang tersebut justru tidak dapat masyarakt peroleh yang dikarenakan minimnya pengetahuan dan rendahnya pendidikan.
Tujuan dalam penelitian ini adalah untuk mengetahui peran istri nelayan dalam membantu memenuhi kebutuhan ekonomi keluarga. Penelitian ini berlokasi di Dusun Poton Bako Desa Jerowaru Kecamatan Jerowaru Lombok Timur, dengan subyek penelitian nelayan, istri nelayan, Staf Kelurahan, Kadus atau Tokoh masyarakat, Teknik penentuan subyek dengan cara metode Snow Ball, sedangkan metode penelitian yang digunakan yakni deskriptif kualitatif, teknik pengumpulan data dilakukan dengan cara observasi, wawancara dan dokumentasi, sedangkan analisis data menggunakan analisis deskriptif yang bersifat naratif.
Hasil temuan dilokasi penelitian bahwa kehidupan masyarakat nelayan Poton Bako tergolong memiliki kehidupan yang masih jauh dari kemajuan dan sejahtera. Hal ini bisa dilihat dari masyarakatnya        yang memperoleh pendapatan yang tak pernah menentu setiap harinya, rendahnya tingkat pendidikan masyarakat, dan terlihat tidak mampu berinovasi dalam memanfaatkan kekayaan alam dengan baik. Pendapatan yang tidak pasti menyebabkan nelayan bertahan pada kemiskinan dan kekurangan. Oleh karenanya istri-istri nelayan tidak hanya bekerja mengurus pekerjaan rumah, anak dan suami saja, melainkan istri justru ikut melibatkan diri dalam bekerja demi membantu suami dalam memenuhi kebutuhan kehidupan sehari-hari keluarga.
WARUNG KOPI KARANG PANAS SEBAGAI SARANA KOMUNIKASI SOSIAL DI MASYARAKAT KABUPATEN BIAK NUMFOR
Authors: Santoso Agus , Muhammad Ridwan Yunus
Published: May 2024

Warung kopi adalah sebuah organisasi yang secara esensial menyediakan kopi dan berbagai jenis minuman lainnya. Warung kopi, atau kedai kopi umumnya disingkat Warkop adalah tempat usaha yang utamanya menyajikan kopi, pastinya akan memberi kesempatan kepada angota masyarakat untuk berkumpul menikmati sajian kopi sekaligus, berbicara, berkomunikasi, menulis, membaca, menghibur orang atau pengunjung, atau juga menghabiskan waktu, baik secara individu atau dalam kelompok kecil, warung kopi sebagai sarana komunikasi sosial dimasyarakat Kabupaten Biak Numfor. Pada penelitian ini penulis menggunakan metode kualitatif dengan melakukan wawancara dan dan melalui pendekatan Deskriptif berdasarkan permasalahan yang dibahas yakni warung Kopi sebagai Sarana Komunikasi Sosial di Masyarakat Kabupaten Biak Numfor. Pada hasil penelitian ini menampilkan bahwa warung kopi memiliki banyak kegiatan interaksiyang dilakukan oleh masyarakat Biak di warung kopi. Kegiatan yang dilakukan pengunjung tidak hanya sebatas memesan minuman dan makanan semata, akan tetapi juga terdapat banyak jenis kegiatan yang dilakukan pengunjung sehingga mereka biasanya menghabiskan waktu yang cukup lama untuk berada di warung kopi. Aktivitas yang sering dilihat jika berada di warung kopi yakni kegiatan interaksi sosial antar individu yang dilakukan pengunjung ataupun pelayan kedai kopi. Interaksi sosial yang terjadi memiliki beragam kebermanfaatan yakni sebegai aktivitas untuk berbagi pengalaman, menambah pengetahuan serta membicarakan perihal bisnis. Hal tersebut menjadi gambaran bahwa warung kopi sebagai sarana interaksi sosial di masyarakat Kabupaten Biak Numfor. Untuk itu interaksi sosial sering terjadi di warung  kopi dan menjadi aktivitas yang tidak pernah hilang jika pergi ke kedai kopi.
PERAN AKUN MEDIA SOSIAL INSTAGRAM HUMAS POLRES BIAK DALAM PENYAMPAIAN INFORMASI KRIMINAL AKIBAT PENGARUH MIRAS KEPADA MASYARAKAT KABUPATEN BIAK NUMFOR
Authors: Madubun Vina Natalia E , Irwan Irwan
Published: May 2024

Dalam data Asosiasi Penyelenggara Jasa Internet Indonesia (APJII), pengguna internet di Indonesia meningkat mencapai 215,63 juta orang pada 2022-2023. Jumlah tersebut meningkat 2,67 persen dibandingkan pada periode sebelumnya yang sebanyak 210,03 juta pengguna. Pada Oktober 2023 ada sekitar 104,8 juta pengguna Instagram di Indonesia. Jumlah tersebut menjadikan Indonesia sebagai negara dengan pengguna Instagram terbanyak keempat di dunia. Data yang dikumpulkan dari Humas Kepolisian Resort Kabupaten Biak Numfor. Di tahun 2022, terjadi 40kasus tindakan kejahatan disebabkan karena minuman keras, dimana terbanyak kasus penganiayan seberar 20 kasus (50%), 9 kasus pengeroyokan (22.5%), pengrusakan 3 kasus (7.5%), 2 kasus pembunuhan (5%), sisanya kasus KDRT, pemerkosaan, pengancaman, pencurian. Dari data juga ditemukan adanya penurunan kasus akibat minuman keras di tahun 2023 yaitu 21 kasus (turun sekitar 50%), namun kasus penganiayaan tetap menjadi kasus terbanyak. Lewat berbagai upaya diantaranya melalui media sosial instagram. Salah satu akun media sosial instagram @humaspolresbiak yang berisikan informasi dan kegiatan dari @humaspolresbiak   terkait peristiwa   kejadian   yang   ada   di Kabupaten   Biak   Numfor. Hal ini dilakukan karena Humas Polres Biak menyadari bahwa akun media sosial Instagram merupakan akun yang sangat efektif untuk menjangkau semua lapisan masyarakat terutama dalam penyebaran bahaya minuman keras. Adapun  bentuk  penelitian  yang  dipakai  atau  digunakan  dalam  penelitian  ini adalah metode pendekatan kualitatif deskripstif, data  utama  yang  diperoleh   secara  langsung  dari  subjek  penelitian yaitu   Kanit   Humas   Polres   beserta  para  staff  dan   masyarakat setempat yang dilakukan secara intensif lewat wawancara dengan informan. Dari hasil wawancara yang dilakukan, peran   akun   media   sosial   instagram   humas   polres   Biak   ini sudah mampu memberikan dan  juga menyampaikan informasi kepada masyarakat dengan baik dan bijak.