bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Differentiated E-LKPD Integrated with PjBL-STEM to Improve Students Science Literacy
Authors: Silfiyani Annisa , Suyatna Agus , Abdurrahman
Published: August 2024

This study aims to test the effectiveness of integrated differentiated PjBl-STEM e-LKPD to improve science literacy. This research method uses the ADDIE R&D model. Classes IX.A, IX.B, IX.C, and IX.D at SMPN 1 Tanjung Bintang became the research sample with purposive sampling. The data analysis technique used the independent sample t-test and ANOVA. Based on expert validation, the percentage of content suitability aspects was 96.42%, construction suitability 96.25% and readability 90%. The average percentage of teacher responses to the content aspect was 95%, readability 93.75%, and attractiveness 98.75%, as well as the results of observations of learning implementation 77.4%, and reflection questionnaires with high criteria. In addition, the percentage of student responses to the readability aspect was 86.25% and attractiveness 90%. Based on these results, the developed e-LKPD is valid and practical with a very high category. The results of the t-test stated that there was a significant difference in the average scientific literacy of students between the control and experimental classes. The results of the ANOVA test stated that there was no effect of using e-LKPD with visual, kinesthetic, and auditory learning styles in improving scientific literacy because the e-LKPD developed had accommodated the needs of all students.
Práticas de Formação de Professores de 1ª a 4ª Série do Ensino Fundamental: Um Estudo da Formação do Magistério Leigo em Oeiras- Piauí - 1970 a 2004
Authors: Cortez Baltazar Campos
Published: August 2024

Partindo do pressuposto de que a formação identitária dos professores rurais leigos foi marcada, de certa forma, por uma série de atributos de representações que tinha a intenção de definir um perfil comum a todos os docentes: afetividade, desprendimento, vocação, conhecimentos pedagógicos, dedicação ao trabalho, capacidade de enfrentar desafios novos, entrega ao magistério, obediência e disciplinamento ético e moral. Observamos que todos esses atributos e características eram o que se esperava destes profissionais, e dessa forma, compreendemos que o processo de formação e a prática pedagógica são aspectos que merecem ser analisados cuidadosamente. Assim, decidimos neste trabalho, pela pesquisa qualitativa, nos valendo do método história de vida, como forma de nos aproximarmos dos professores leigos rurais e de alguns professores leigos urbanos, conforme a tendência que nos levou a tais contatos, na intenção de analisá-las e interpretá-las, de modo que uma complemente a outra, permitindo-nos um encontro com esses grupos sociais, geralmente esquecidos, marginalizados e excluídos mesmo da sociedade.
Prática de Extensão Universitária - Caderno de Campo I: Gestação e Nascimento
Authors: Lima Gabriel Nava , Souza Mércia Helena Salgado Leite de
Published: August 2024

No curso de medicina da FACULDADE EDUFOR os alunos realizam atividades extensionistas que vão além da ação social. A há busca pela produção de conhecimento válido, há a tentativa de “trazer” as comunidades que foram atendidas pelos projetos para dentro da faculdade e, principalmente, se busca deixar um legado capaz de gerar conhecimento e práticas emancipatórias. A publicação desde primeiro Caderno de Extensão, com os Relatórios Finais dos Projetos Extensionistas dos alunos do primeiro período do curso, tem como objetivo último demonstrar que no curso de medicina da FACULDADE EDUFOR há a práxis extensionista, e não ações sociais pontuais.
Faktor-Faktor Organisasi Dengan Kinerja Capaian Standar Pelayanan Minimal
Authors: Sinambela Raphita , Oktamianti Puput
Published: August 2024

Dinas Kesehatan Kota Sibolga sebagai Organisasi Perangkat Daerah (OPD) yang bertanggung jawab melaksanakan pelayanan minimal yang merupakan hak setiap warga negara untuk diperoleh secara minimal, ditetapkan sebagai Standar Pelayanan Minimal (SPM) dan merupakan indikator capaian kinerja setiap tahunnya. Untuk memenuhi pencapaian SPM Dinas Kesehatan dapat menggunakan tools Malcolm Baldrige Assessment yaitu: kepemimpinan; perencanaan strategi; fokus pada pelanggan; penilaian, analisis, dan manajemen pengetahuan; fokus pada pekerja; manajemen proses; yang mendukung pencapaian hasil kinerja. Penelitian dilakukan untuk melihat gambaran faktor-faktor organisasi dengan Kinerja Capaian Standar Pelayanan Minimal. Metode penelitian yang digunakan adalah kuantitatif, desain crossectional, melalui pengisian kuisioner dengan google form oleh 232 responden (pegawai). Hasil penelitian seluruh variabel independen memiliki hubungan yang signifikan dengan kinerja capaian SPM. Hasil  Kempemimpian (p = 0,0001; OR = 6,64; 95% CI = 3,70 – 11,9); Perencanaan Strategi (p = 0,0001; OR = 23,53; 95% CI = 11,83 – 46,81); Fokus Pada Pelanggan (p = 0,0001; OR = 29,72; 95% CI = 14,59 – 60,56); Pengukuran, Analisis, Pengetahuan, Manajemen (p = 0,0001; OR = 46,12; 95% CI = 21,29 – 99,91; Fokus Pada Pekerja (p = 0,0001; OR = 7,68; 95% CI = 3,99 – 14,78), Manajemen Proses (p = 0,0001; OR = 15,06; 95% CI = 6,95 – 32,63).  Pencapaian kinerja SPM Dinas Kesehatan yang lebih baik dapat memperhatikan seluruh faktor organisasi yang memiliki hubungan signifikan terhadap kinerja SPM. Dari seluruh faktor organisasi yang ada indikotor pelaksanaan pengukuran, analisis, pengetahuan manajemen yang merupakan faktor yang perlu mendapatkan perhatian yang khusus untuk lebih ditingkatkan karena memiliki nilai OR terbesar.   Kata kunci: Kinerja, SPM, Organisasi, Malcolm Baldrige
Kesiapsiagaan Petugas Kesehatan Menghadapi Banjir di Puskesmas Kabupaten Kubu Raya
Authors: Bariyah Nurul , Gusmayanti Evi , Adhitiyawarman Adhitiyawarman
Published: August 2024

Pemanasan global menyebabkan peningkatan curah hujan dan banjir, mengancam kesehatan dan keselamatan di fasilitas publik seperti Puskesmas. Penelitian ini bertujuan untuk mengevaluasi kesiapsiagaan petugas kesehatan menghadapi banjir di tiga Puskesmas di Kabupaten Kubu Raya: Sungai Durian, Sungai Raya Dalam, dan Korpri. Penelitian ini menggunakan metode deskriptif kuantitatif dengan total sampling sebanyak 96 responden yang dilakukan pada Februari-Juli 2023. Data dianalisis menggunakan analisis univariat dan disajikan dalam bentuk tabel dan narasi. Hasil penelitian menunjukkan bahwa 46 responden (48%) memiliki pengetahuan kesiapsiagaan yang baik, sedangkan 51 responden (52%) kurang baik. Sikap kesiapsiagaan yang baik dimiliki oleh 46 responden (49%), dan 49 responden (51%) kurang baik. Kesiapsiagaan tanggap darurat yang baik ditemukan pada 54 responden (56%), dan 42 responden (44%) kurang baik. Sistem peringatan dini yang baik diimplementasikan oleh 62 responden (65%), dan 34 responden (35%) kurang baik. Mobilisasi sumber daya dan pelatihan dinilai baik oleh 48 responden (50%) dan kurang baik oleh 48 responden (50%). Penelitian ini merekomendasikan peningkatan kesiapsiagaan bencana melalui pelatihan yang fokus pada peningkatan pengetahuan, sikap, dan keterampilan khusus petugas. Pengembangan sistem peringatan dini berbasis lokal dan simulasi di area Puskesmas serta evaluasi dan penyempurnaan program kesiapsiagaan juga diperlukan untuk meningkatkan kesiapan menghadapi banjir di Kabupaten Kubu Raya.
Determinan Kejadian Bayi Berat Lahir Rendah di RSUD Pasar Minggu Jakarta
Authors: Fitriani Wiwin Nur , Harahap Nirmala
Published: August 2024

Latar Belakang: World Health Organization (WHO) melaporkan bahwa sebanyak 2,4 juta neonatal meninggal pada tahun 2019, dengan penyebab kematian tertinggi adalah Bayi Berat Lahir Rendah (BBLR). Hasil studi pendahuluan yang dilakukan di RSUD Pasar Minggu Jakarta diperoleh bahwa terjadi peningkatan jumlah kasus BBLR dari tahun 2020 hingga tahun 2022. Pada tahun 2020 berjumlah 25 kasus, pada tahun 2021 berjumlah 32 kasus dan pada bulan Januari sampai dengan bulan Juni 2022 berjumlah 42 kasus. Masih tingginya kasus BBLR disebabkan karena faktor maternal seperti kurangnya persiapan sebelum hamil, pemenuhan gizi selama hamil, penyakit ibu selama hamil dan faktor kelainan bawaan janin serta plasenta. Tujuan: untuk menganalisis determinan kejadian Bayi Berat Lahir Rendah di RSUD Pasar Minggu Jakarta. Metode: menggunakan desain penelitian case control study dengan sampel yaitu ibu yang melahirkan bayi di RSUD Pasar Minggu Jakarta pada bulan Juli sampai dengan Oktober 2022 yaitu sebanyak 64 orang dengan teknik purposive sampling. Metode analisis yang digunakan adalah univariat dan bivariat dengan uji chi square. Hasil: Variabel yang berhubungan dengan kejadian BBLR di RSUD Pasar Minggu Jakarta yaitu variabel jarak kehamilan (p= 0,004 dan OR = 2,829), LiLA (p= 0,016 dan OR = 5,063), pendapatan (p= 0,024 dan OR = 3,215) dan kunjungan ANC (nilai p = 0,010 dan OR = 4,098). Variabel KPD tidak berhubungan dengan kejadian BBLR (p= 0,120). Kesimpulan: Diharapkan kepada RSUD Pasar Minggu meningkatkan pemberian edukasi perencanaan kehamilan sehat seperti jarak antar kehamilan lebih dari 2 tahun, asupan gizi seimbang dan pemeriksaan kehamilan di fasilitas pelayanan kesehatan.
Peran Dinas Kesehatan dan Badan Penanggulangan Bencana Daerah (BPBD) Dalam Manajemen Kesiapsiagaan Bencana di RSUD Undata Provinsi Sulawesi Tengah
Authors: Andini Intan Fitrah , Widjanarko Bagoes , Suryawati Chriswardani
Published: August 2024

Pendahuluan: Sulawesi Tengah mengalami bencana alam tahun 2023 sebanyak 111 kasus, tahun 2022 sebanyak 238 kasus, dan tahun 2021 ditetapkan sebagai provinsi dengan risiko bencana kategori tinggi. RSUD Undata, salah satu rumah sakit rujukan utama di Sulawesi Tengah yang pernah mengalami ‘collapse function’ saat bencana, berada dibawah tanggung jawab Dinas Kesehatan dan berkoordinasi dengan Badan Penanggulangan Bencana Daerah Provinsi Sulawesi Tengah. Tujuan: Bertujuan sebagai rujukan dalam mengetahui peran Dinas Kesehatan dan BPBD dalam manajemen bencana du RSUD Undata Provinsi Sulawesi Tengah. Metode: Penelitian ini mengadopsi kualitatif deskriptif dengan pendekatan fenomenologi. Sumber data diperoleh dari wawancara mendalam dengan 3 orang informan utama dan 2 orang informan triangulasi, observasi lapangan, telaah dokumen dan dokumentasi. Hasil: RSUD Undata masih kekurangan SDM Kesehatan pada masa bencana, belum menganggarkan pembiayaan khusus kesiapsiagaan bencana serta belum melengkapi sarana dan prasarana bencana. Oleh karena itu, Dinas Kesehatan berupaya dalam memenuhi kebutuhan SDM melalui mobilisasi relawan dan memenuhi kebutuhan obat-obatan dan alat kesehatan serta mengakomodir pembiayaan dan BPBD berupaya dalam pemenuhan sarana prasarana dan kebutuhan lainnya. Kesimpulan: Dinas Kesehatan berperan dalam pemenuhan fasilitas serta mengakomodir relawan. BPBD Provinsi memfasilitasi sistem komunikasi, tenda darurat, pos komando, dan sarana mobilisasi eksternal. Kolaborasi ini dilakukan hanya pada saat tanggap darurat bencana, diharapkan dapat menjalin mekanisme kerja sama pada fase kesiapsiagaan bencana agar lebih terkoordinir dengan baik.
Faktor yang Berhubungan dengan Pemeriksaan Triple Elimination pada Ibu Hamil di Puskesmas Abepantai
Authors: Bida Febi Yola , Bouway Dolfinus Yufu , Irab Semuel Piter , Hasmi Hasmi , Asriati Asriati , Adimuntja Natalia Paskawati
Published: August 2024

Lebih dari 90% penyakit menular langsung pada bayi seperti infeksi HIV, Sifilis dan Hepatitis B ditularkan dari ibu yang terinfeksi yang terjadi selama masa kehamilan, proses persalinan dan menyusui. Triple elimination adalah program untuk mengeliminasi infeksi terhadap ketiga penyakit menular langsung yang ditularkan dari ibu ke anak yaitu infeksi HIV, Sifilis serta Hepatitis B. Tujuan penelitian ini untuk mengetahui faktor yang berhubungan dengan pemeriksaan triple elimination pada ibu hamil di Puskesmas Abepantai. Jenis penelitian ini adalah kuantitatif melalui pendekatan cross-sectional dengan populasi sebanyak 77 ibu hamil dan sampel 67 ibu hamil serta menggunakan instrumen penelitian berupa kuesioner. Pengambilan sampel menggunakan teknik accidental sampling dan dianalisis menggunakan uji chi-square dan uji fisher’s exact test. Hasil penelitian menunjukkan bahwa ibu hamil yang tidak periksa triple elimination sebanyak 59,7% responden dan 40,3% responden periksa. Hasil analisis bivariat diperoleh hubungan antara pengetahuan signifikan dengan pemeriksaan triple elimination (p-value = 0,013; RP = 7,50; 95% CI = 1,55-36,27), hubungan antara dukungan keluarga tidak signifikan dengan pemeriksaan triple elimination (p-value = 1,000; RP = 0,96; 95% CI = 0,34-2,72) dan hubungan antara akses tidak signifikan dengan pemeriksaan triple elimination (p-value = 1,000; RP = 0,65; 95% CI = 0,08-4,97). Cakupan ibu hamil dalam melakukan pemeriksaan triple elimination yang rendah tentunya perlu ditingkatkan lagi mengingat dampak yang dapat ditimbulkan pada ibu dan anak sehingga perlu adanya peningkatan terkait ibu hamil dalam melakukan pemeriksaan triple elimination serta dapat terjangkaunya akses terhadap pemeriksaan triple elimination dengan pemanfaatan pustu-pustu yang ada.
Stress, Pola Tidur dan Pola Olahraga dengan Premenstrual Syndrome Mahasiswi Kesehatan Masyarakat Universitas Muhammadiyah Pontianak
Authors: Meiristhia Sweetasima , Marlenywati Marlenywati , Suwarni Linda , Rizky Ayu
Published: August 2024

Premenstrual syndrome (PMS) merupakan kumpulan gejala fisik dan psikis yang dialami oleh wanita pada fase luteal pada siklus menstruasi, biasanya terjadi secara regular 7 – 14 hari. Premenstrual syndrome dapat berdampak pada produktivitas dan aktivitas sosial.  PMS dipengaruhi oleh faktor gaya hidup dan psikologis seperti pola olahraga, pola tidur dan stress. Di Indonesia angka prevalensi premenstrual syndrome dapat mencapai 85% dari seluruh populasi wanita usia reproduksi yang terdiri dari 60 – 75 % mengalami premenstrual syndrome sedang dan berat. Penelitian ini bertujuan untuk mengetahui hubungan antara stress, pola tidur dan pola olahraga dengan premenstrual syndrome. Penelitian ini menggunakan desain cross sectional. Sampel penelitian ini sebanyak 40 mahasiswi yang diambil dari semester 5 dan 7 menggunakan teknik accidental sampling. Uji statistik yang digunakan uji chi square dengan tingkat kepercayaan 95%. Hasil penelitian menunjukkan bahwa terdapat hubungan antara stress, pola tidur serta pola olahraga dengan premenstrual syndrome. Pola tidur merupakan faktor penentu dengan kejadian Premenstrual syndrome pada mahasiswi program studi kesehatan masyarakat Universitas Muhamamdiyah Pontianak . Oleh sebab itu mahasiswi disarankan menerapkan hidup sehat dengan menghindari stress serta tidur dan olahraga secara teratur.
Formulasi dan Evaluasi Sifat Fisik Sediaan Lulur Ekstrak Etanol Kulit Pisang Kepok (Musa paradisiaca L)
Authors:   Universitas Hamzanwadi, Yuliana Tri Puspita , Zulda Nurul Fitri Erlinda ,   Universitas Hamzanwadi
Published: August 2024

Banana peel is the part of the banana that has not been used. A body scrub is a semi-solid preparation that functions to clean dirt on the face and dead skin cells. Banana peel one of any plants can be used as the basic of formulated cream cosmetics has flavonoid and tanin compound content, in acts as an moisturizer skin. This research aims to determine the formulation and evaluation of the physical preparation of kepok banana peel (Musa Paradisiaca L) ethanol extract scrub. The research method used was the laboratory experimental method. Evaluation of the scrub preparation includes organoleptic testing, homogeneity, spreadability testing, adhesion testing, pH testing and skin moisturizing power testing. The results showed that the preparation of the ethanol extract of kepok banana peel from both formulas had organoleptic results of F1 (semi-solid cream form, light brown color, typical aroma of kepok banana peel extract), F2 (semi-solid cream form, dark brown color, typical aroma of peel extract banana kepok), the homogeneity test of the preparation produces an even preparation when smeared on the surface of a glass object in all formulas, testing acidity or pH F1: 5.45 and F2 = 6.42. The spreading ability test results were at F1: 5.80 cm and F2: 5.44 cm. Testing ability of sticking time F1: 2.44 seconds and F2: 2.57 seconds. The skin moisturizing ability test before application showed an average of 23.6%, on day 5 an average of 36.5% and on day 10 an average of 48.5%. The conclusion is that the Kapok banana peel scrub formulation has physical properties that meet standards and is able to significantly moisturize the skin after 10 days of use. Statistical data shows that there is no significant difference in each formula with significance values ​​of 0.327, 0.265 and 0.294 (P<0.05).
Analisis Efektivitas Biaya Penggunaan Insulin Lantus dan Apidra di RSUD Dr. R. Soedjono Selong
Authors:   Universitas Hamzanwadi, Oktresia Erma Ewisa , Sovia Fitriwati ,   Universitas Hamzanwadi, Ramadhan Leny ,   Universitas Hamzanwadi, Ramadani Lalu Khilal ,   Universitas Hamzanwadi
Published: August 2024

Indonesia is one of the countries with the highest number of type II diabetes mellitus patients in the world, reaching 10.7 million people. Diabetes mellitus requires long-term treatment to control patients' blood glucose levels. The types of therapy used vary, leading to differences in costs and treatment outcomes. The use of insulin is a significant issue in diabetes mellitus therapy, especially at RSUD Dr. R. Soedjono, concerning its cost-effectiveness and therapeutic efficacy. This study aims to analyze the cost-effectiveness of using Lantus and Apidra insulin therapies.This research is an observational analytic study with a cross-sectional design, and data collection was conducted retrospectively at RSUD Dr. R. Soedjono Selong. The sample selection was based on predetermined inclusion and exclusion criteria. Observations were made on the Length of Stay (LOS) and Direct Medical Cost (DMC) for each sample. Based on LOS and DMC data, the Average Cost-Effectiveness Ratio (ACER) was calculated. The results showed that the average LOS for Lantus insulin use was 4 days, while for Apidra insulin use, it was 5 days. The average DMC for Lantus insulin was Rp.2,395,734, while for Apidra insulin, it reached Rp. 2,590,218. Based on LOS and DMC data, the ACER value for Lantus insulin was Rp 598,934/day, while for Apidra insulin, it was Rp 518,043/day. The use of Apidra insulin is more cost-effective because it has a lower ACER value.
Effect of gender on difference in flexibility of two joint muscles in lower limb of both right and left side in young adults: A pilot study
Authors: Riddhi Arvind Manjrekar  , Bharati Dilip Asgaonkar
Published: August 2024

Background: Tight muscles are present in both genders and also varies with age, level of activity, hereditary, weight and many other factors. Physiotherapy has proven beneficial in lengthening the tight muscles but not many studies are present to show the comparison between gender and muscle flexibility which can cause altered biomechanics and also can cause muscle strain if not taken care of. Hence our study is small attempt to find the difference in muscle flexibility between males and females. Objective: To compare the muscle flexibility of Hamstrings, Rectus femoris and Gastrocnemius muscle between males and females in individuals with normal BMI aged 18-25 years old using a standard goniometer. To compare the differences in flexibility. Methods:60 subjects were allocated in this study (30 males and 30 females). Muscle flexibility of lower limb was measured using a standard goniometer and then comparison was made between males and females on both sides. Results: In our study we found out that there is a significant comparison of hamstring muscle length of both right and left side (p=0.000) between young male and female. This suggest that female hamstrings are less flexible compared to males. But there was no significant comparison of rectus femoris muscle length of right side (p=0.503) and left side (p=0.944) and of gastrocnemius muscle length of right side (p=0.462) and left side (p=0.625) between young male and female. Conclusion: There is difference in muscle length of hamstring muscle of both side in males and females and there is no difference in muscle length of rectus femoris and gastrocnemius muscles of both sides in males and females.
Gamma radiation induced atrophic gastritis in mice
Authors: Anupam
Published: August 2024

Radiation biology has acquired greater relevance and significance in addressing the health issues. Gastric diseases has become one of the common gastrointestinal disorders that involves the entire mucosal thickness and can penetrate the muscular mucosa. Gastric disorders occurs as a result of imbalance between aggressive factors of acid and pepsin and maintenance of gastric integrity through endogenous factors. The objective of the present study was to evaluate radiation induced changes in the stomach of Swiss Albino male mice. Animals were divided into two groups: Group I containing normal mice served as control for each experimental stage, mice of Group II were irradiated with 5Gy γ –rays. 24 hours after irradiation mice were sacrificed by cervical dislocation on days 10, 20 and 30. Stomach was cut into thin section and subjected to hematoxylin eosin staining. Stomach of normal mice was healthy. Gastric mucosa of normal mice was thick, the epithelium was complete and there was no sign of damage. The irradiated group mice mucosa showed decrease in thickness with damaged areas. Loss of glandular regions were also seen. The irradiated group mice mucosa showed decrease in thickness with damaged areas while the parietal cell having lesser volume, polygonal form, wrinkled arrangement with large intracellular spaces were observed. Thus, our finding suggested that radiation induced stress causes imbalance in defence mechanisms and lead to the atrophic gastritis with mucosal injury.
Assessing climate change impacts with downscaling techniques: A case study
Authors: Imran Hussain Mahdy  , Partha Protim Roy  , Rafiqul Bari Kabir
Published: August 2024

The review focuses on the intersection of climate change, water resources, and downscaling techniques. It covers various studies that examine the impact of climate change on hydrological models, agricultural productivity, and socio-economic conditions, particularly in regions like Bangladesh and India. Key studies include the evaluation of different downscaling techniques, such as Statistical Down Scaling Model (SDSM) and Artificial Neural Networks (ANNs), to project climate variables and their effects on water resources. The review also highlights the importance of downscaling methods in providing high-resolution climate data necessary for impact assessments. Additionally, it discusses the statistical analysis of climate trends, including temperature and rainfall variability, and their implications for water management and agricultural adaptation strategies. Through a comprehensive examination of past research, the review underscores the critical need for accurate climate modeling and downscaling to mitigate adverse climate impacts and inform sustainable resource management practices. This synthesis of existing literature provides a foundation for future research and policy development aimed at enhancing climate resilience in vulnerable regions.
The impact of globalization on state sovereignty
Authors: Abdifatah Ahmed Ali Afyare
Published: August 2024

The subject of this paper is the impact of globalization on state sovereignty, with special attention to a sphere of particular state regulatory concern, the welfare state. As economic globalization has increased, most states have engaged in a variety of efforts to attract, or, at a minimum, to retain the investments of private investors within their territorial boundaries and to make the conditions attractive to their own non-mobile capital. All of these activities have been regulated by and are the consequence of state action. Firms and wealthy individuals have also engaged in 'endless varieties of doings and practices' to increase profits and to enhance their incomes, many of which challenge the neutrality of the economic location of firms and individuals. The result has been the comprehensive legal and institutional abuse of the state—the state has been used to augment and protect both the wealth of the nation and the wealth of individuals while it has been starved of resources needed to build and maintain a strong and accessible civil society.
Cyber-security and performance Issues in 4G LTE network
Authors: Lydiah Moraa Machora
Published: August 2024

The 4G LTE (Long Term Evolution) network represents a substantial challenge in wireless communication technology, providing slightly improved data transfer rates, decreased response time, and heightened connectedness from the 3G network. Nevertheless, there are significant worries surrounding the cybersecurity of these sophisticated network. The convergence of people, procedures, and technology to defend business, persons, or networks against digital attacks is known as cybersecurity. Cybersecurity is essential to protect organizational assets from risks such as but not limited to personal data breaches, unauthorized access leading to reputational and financial impact (Sandhu 2021). Previously isolated systems are now interconnected and sharing data. (Möller 2023) states that this connectedness also poses some inconveniences as well, whenever a device joins the Internet, it becomes publicly discovered. Once these devices are discovered, they become open to cyberattacks (Singh & Kumar, 2020 and Aphane, 2023). Cybersecurity has become an essential part of our daily lives due to the increasing frequency and severity of cyberattacks. Cybersecurity consultants face a significant challenge in measuring the effectiveness of cybersecurity measures in organizations in terms of performance in the 4G LTE networks. Another challenge could be finding a cybersecurity architecture that is effective and can fit different situations (Mbelli and Dwolatzky, 2016; Carcary, Doherty & Conway, 2019). The main aim of this study was to look on cybersecurity and performance issues on the 4G LTE networks, develop a comprehensive cybersecurity architecture that can be used by cybersecurity consultants when measuring cybersecurity effectiveness, performances and the solutions in security, privacy and performance. The following section will provide a brief overview of cybersecurity architectures, then followed by the research methodology utilised in this study. The proposed cybersecurity architecture presented and followed by the research methodology, summary of the results and implications of the study.
Quantum-resistant cryptography: A new frontier in fintech security
Authors: Rakibul Hasan Chowdhury
Published: August 2024

Purpose: The rapid advancement of quantum computing poses a significant threat to traditional cryptographic systems, potentially compromising the security of sensitive data in various sectors. This research aims to explore the necessity of quantum-resistant cryptography within the financial technology (fintech) sector, where data integrity and confidentiality are paramount. The study investigates the viability of quantum-resistant algorithms in mitigating risks associated with quantum attacks on fintech systems. Methodology: The research employs a mixed-methods approach, combining theoretical analysis with practical simulations and case studies. Key quantum-resistant algorithms are evaluated through simulations to assess their effectiveness and efficiency in real-world fintech scenarios. Additionally, comparative analyses with traditional cryptographic methods provide insights into the relative strengths and weaknesses of quantum-resistant techniques. Findings: The study finds that quantum-resistant cryptographic algorithms, such as lattice-based and hash-based cryptography, offer promising solutions for securing fintech applications against quantum threats. These algorithms demonstrate robust security features and practical feasibility for integration into existing fintech infrastructures. However, challenges related to implementation complexity and computational efficiency are identified. Implications: For the fintech industry, adopting quantum-resistant cryptography is crucial for futureproofing against emerging quantum computing threats. The findings suggest a need for continued research into optimizing these algorithms and developing standards for their deployment. Future research directions include exploring more efficient algorithms and investigating their application in other industries beyond fintech.
Innovations in civil structure monitoring: A comprehensive review of piezoelectric sensor technologies
Authors: Madhu  , N.M.Galagali  , Sateesh Gaonkar
Published: August 2024

health monitoring (SHM) for civil engineering structures. Piezoelectric materials, capable of converting mechanical stress into electrical signals and vice versa, have emerged as a promising technology for real-time, continuous monitoring of infrastructure health. This paper explores the fundamental principles of piezoelectricity, including the direct and inverse piezoelectric effects, and discusses common materials such as Lead Zirconate Titanate (PZT) and Polyvinylidene Fluoride (PVDF) used in SHM applications.The integration of piezoelectric sensors into civil structures is examined, covering surface-mounted sensors, embedded sensors, smart aggregates, and fiber-optic piezoelectric sensors. The article delves into specific applications, including damage detection (e.g., crack monitoring, debonding assessment), vibration monitoring for seismic and wind loads, load measurement on bridges and buildings, and high-precision strain measurements. Key advantages of piezoelectric-based SHM are highlighted, such as high sensitivity, wide frequency response, and potential for energy harvesting. However, the paper also addresses challenges, including temperature sensitivity, long-term reliability in harsh environments, and data management issues. Future prospects are explored, focusing on self-powered SHM systems, wireless sensor networks, integration with machine learning algorithms, and the development of multifunctional piezoelectric composites. Through a critical analysis of current research and case studies, this paper provides insights into the transformative potential of piezoelectric materials in enhancing the safety, reliability, and longevity of civil infrastructure. It serves as a valuable resource for researchers, engineers, and policymakers involved in the development and implementation of advanced SHM systems for civil engineering applications.
Governance and defense sector management in Nigeria: X-raying legislative oversight of the defense sector
Authors: ADELANI Sunday  , UKWENI Mba
Published: August 2024

Nigeria’s fledgling democratic experiment requires a security sector that is under the watchdog of a legislative body, as the nature and character of a nation’s security sector are critical to the establishment of democratic values and ethos in a polity. Largely, the logic of operation and responsiveness of the security sector of any nation is a function of the quality of governance by the executive and the oversight functions exercised by the representatives of the people as legislatures, as it concerns military procurement and logistics, and double faced-operations in the face of rising security threats. This study decomposed governance into executive control and legislative oversight governance. This study adopted the Rational Actor Model to interrogate governance and defense sector management in Nigeria. The study adopted survey research design to elicit data from 40 respondents drawn from members of the national assembly, the security forces, serving and former members of both the House committee on defense and the Senate committee on defense. Judgmental sampling technique was deployed to ensure the right respondents were surveyed using structured questionnaire of 5 point Likert scale and for content validity and reliability. Finding from this study submitted that legislative oversights and executive governance do not have significant effects on defense management in Nigeria. The study therefore recommends that legislature should push for a Security Sector Reform that will bring the defence sector into the basket of accountability via transparent budgetary. The study also recommends that the executive should ensure the accountant General and the Auditor General of the Federation apply all measures to ensure accountability of the Defence and security sector as seen done in developed clime where the military are grossly accountable to civil structure and not an instrument of power perpetuation.
Toxicology of oils and fats: Understanding health implications and safety measures
Authors: Bertin Mikolo  , Fanny Belgonde Ganongo-Po
Published: August 2024

This review delves into the toxicology of edible oils and fats, focusing on their health implications, processing methods, contaminants, and safety practices. It discusses the types of fats, processing techniques, contaminants, health effects, safe consumption practices, current research, and future directions. The review distinguishes between saturated, unsaturated, and trans fats, examines harmful contaminants, and provides guidelines for healthier choices. It also highlights the impact of dietary fat choices on health and identifies potential future research areas such as personalized nutrition and sustainable fat sources. The review aims to provide practical recommendations for improving health and safety.
Advancing electronic communication Compliance and fraud detection Through Machine Learning, NLP and generative AI: A Pathway to Enhanced Cybersecurity and Regulatory Adherence
Authors: Iga Daniel Ssetimba  , Jimmy Kato  , Eria Othieno Pinyi  , Evans Twineamatsiko  , Harriet Norah Nakayenga  , Eudis Muhangi
Published: August 2024

This research investigates the application of advanced technologies, specifically machine learning (ML), natural language processing (NLP), and generative artificial intelligence (AI), to enhance regulatory compliance and fraud detection within the financial services sector. Machine learning, with its ability to analyze vast amounts of data and identify patterns, provides predictive capabilities that can significantly improve the accuracy of fraud detection systems. NLP, on the other hand, offers a nuanced understanding of textual data, facilitating more efficient processing of compliance documentation and communication logs. Generative AI introduces innovative approaches by simulating potential fraud scenarios, thereby allowing organizations to anticipate and mitigate emerging threats. The study aims to integrate these technologies into a cohesive framework that enhances both the detection of fraudulent activities and the efficiency of compliance processes. By leveraging ML's predictive power, NLP's textual analysis capabilities, and generative AI's scenario simulation, this research seeks to address existing limitations in traditional fraud detection and regulatory adherence systems. Traditional methods often struggle with adapting to new fraud tactics and managing large volumes of compliance data, leading to inefficiencies and increased vulnerability. Key findings of this research demonstrate that the implementation of machine learning algorithms results in a 30% increase in fraud detection accuracy and a 25% reduction in false positives compared to conventional approaches. NLP techniques have been shown to enhance processing efficiency for compliance documentation by 40%, reducing errors and speeding up the review process. Additionally, generative AI models have contributed to a 35% improvement in predicting and addressing potential fraud scenarios, thus enhancing overall system robustness. This study provides a comprehensive examination of methodologies, benefits, and future directions for deploying ML, NLP, and generative AI in financial services. It underscores the transformative potential of these technologies in strengthening security measures, ensuring meticulous adherence to evolving regulatory standards, and fostering a trustworthy operational environment. The integration of these advanced technologies promises not only to bolster the security framework but also to offer a more dynamic and adaptive approach to regulatory compliance and fraud detection.
Marks vs. Percentile data of the JEE (Main): A study to assess the preparation level of the examinees
Authors: Sudipto Roy
Published: August 2024

In the present study, I have carried out a mathematical formulation to find a simple way to determine the mean and standard deviation of marks and also the most probable marks obtained by examinees in an examination like the Joint Entrance Examination - Main [or, JEE (Main)], using Marks vs. Percentile data. Observing the nature of variation of the percentile score as a function of marks, based on information obtained from examinees, I have chosen an empirical expression for the percentile score (in terms of marks) for this study. This expression represents the behavior of real data, with sufficient accuracy, for a certain combination of values of the constant parameters associated with the expression. A parameter among them has been identified as one representing the difficulty level of the question paper. Using my empirical expression for percentile score, I have derived an expression for the probability of scoring marks of a certain value. I have defined a cumulative probability here, which represents the probability of scoring marks equal to or more than a certain value. Findings of this study have been depicted graphically. The mathematical expressions, chosen or derived in this study, can be used for making predictions whose accuracy depends upon the largeness of the sample of Marks vs. Percentile data used for determination of constant parameters.
Harnessing artificial intelligence to optimize financial technologies for achieving sustainable development goals.
Authors: Oluwafemi Elias  , Sunday David Esebre  , Idris Abijo  , Adesina Mayowa Timothy  , Temitope Deborah Babayemi  , Ebenezer O. Makinde  , Oladiipo Ishola Oladepo  , Iyinoluwa Elizabeth Fatoki
Published: August 2024

This comprehensive review examines the convergence of Artificial Intelligence (AI), Financial Technologies (FinTech), and the United Nations Sustainable Development Goals (SDGs). It explores the transformative potential of AI in enhancing FinTech solutions to address global challenges outlined in the SDGs. The study provides an in-depth analysis of current AI applications in financial services, their impact on sustainable development, and emerging trends in this rapidly evolving field. Key findings reveal that AI-driven FinTech innovations can significantly contribute to financial inclusion, poverty reduction, and economic growth. Machine learning algorithms are revolutionizing credit scoring, risk assessment, and fraud detection, while natural language processing is enhancing customer service and market analysis. Computer vision technologies are improving security measures and streamlining processes in the financial sector. However, the study also identifies critical challenges that must be addressed, including data privacy concerns, algorithmic bias, and the widening technological gap. The review concludes with a series of recommendations for policymakers, financial institutions, and technology developers. These guidelines aim to promote the responsible and effective leverage of AI in FinTech to achieve the SDGs, emphasizing the need for ethical considerations, regulatory frameworks, and cross-sector collaboration. This research provides valuable insights for stakeholders working at the intersection of AI, FinTech, and sustainable development, offering a roadmap for harnessing these technologies to create a more inclusive and sustainable global financial ecosystem.
AI-driven demand forecasting: Enhancing inventory management and customer satisfaction
Authors: Olamide Raimat Amosu  , Praveen Kumar  , Yewande Mariam Ogunsuji  , Segun Oni  , Oladapo Faworaja
Published: August 2024

This study explores the implementation of AI-driven demand forecasting to enhance inventory management and customer satisfaction. Traditional forecasting methods often fail to predict consumer demand accurately, leading to either excess inventory or stockouts, both of which are detrimental to business performance. Excess inventory ties up capital and increases holding costs, while stockouts result in missed sales opportunities and diminished customer satisfaction. By employing advanced AI algorithms and machine learning models to analyze historical sales data, market trends, and external factors such as seasonality and promotions, we aim to generate precise demand forecasts. The integration of these models into existing inventory management systems automates replenishment processes, ensuring stock levels align closely with anticipated demand. Our results indicate significant improvements in inventory optimization, cost reduction, and customer satisfaction. Specifically, the neural network model outperformed other models, achieving the lowest Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE), highlighting the effectiveness of incorporating external factors into the forecasting process (Brown & White, 2020). This study underscores the potential of AI-driven demand forecasting to transform inventory management practices, ultimately contributing to more efficient operations and enhanced customer satisfaction.
Analyzing agricultural funding, poverty alleviation, and economic growth in Nigeria: A Focus on the Abuja Federal Ministry of Agriculture
Authors: Samuel Kola Gomina  , Oshuwa Emily Gomina  , Jessica Obianuju Ojadi  , Linda Egbubine  , Ololade Esther Adisa  , Topa Emmanuel Shola
Published: August 2024

Agriculture, pivotal for economic development in many developing countries, serves as a major GDP contributor and employer, driving growth, reducing poverty, and ensuring food security through increased productivity, income generation, and export revenues. This study evaluates the validity of a research instrument used to assess agricultural funding, poverty alleviation, and economic growth in Nigeria, with a specific focus on the Abuja Federal Ministry of Agriculture. The instrument's validity was primarily assessed through content validity, supplemented by face validity involving executives from the Ministry of Commerce and Industry, Abuja Metropolitan chapter. Their feedback prompted adjustments to enhance clarity and reliability. The study employed a stratified random sampling method to select 100 staff members from various departments within the Federal Ministry of Agriculture, Abuja. Measures to mitigate sampling errors included pre-survey contacts and follow-up interviews post-survey. Data analysis utilized Spearman's rank correlation and included demographic analysis presented through tables and graphs. Findings reveal significant perceptions among respondents regarding agricultural funding's impact on poverty reduction and economic growth in Nigeria. Specifically, a strong positive relationship was found between agricultural funding and both poverty alleviation and economic growth. This research underscores the critical role of adequate agricultural funding in socioeconomic development, highlighting implications for policy and practice within Nigeria's agricultural sector.
Evaluating the prevalence of tubal patency with age in women investigating for infertility using hysterosalpingography in Calabar, Nigeria
Authors: ODEY PAUL ANYIOM  , AJANG CLETUS UGBAKA  , NNENNA WILLIAMS AHAMEUFUNA  , UNO VICTOR KANU  , OTI CHELSY  , IDAGHEREBHE PERFECT EFEOSA
Published: August 2024

Background: Infertility is a complex and multifaceted issue affecting millions of couples worldwide, with far-reaching physical, emotional, and socioeconomic consequences. In Nigeria, where childbearing holds significant cultural and familial importance, infertility is particularly stigmatized, leading to substantial emotional distress and social pressure. This study investigates the relationship between age and tubal patency in women undergoing infertility evaluation. Objective: To determine the hysterosalpingography (HSG) findings of women within reproductive age in a specialist hospital in Calabar, Nigeria. Specific Objective: 1. Determine the age range with a higher hospital visit for infertility investigation. 2. Ascertain whether patency is more frequent on the right, left, or bilateral. 3. Determine the frequency of outcomes with different age groups. Results: The results show a significant correlation between age and tubal blockage, with the highest prevalence of blockage found in women between 36-40 years. Conclusion: The study shows the importance of considering age as a factor in the evaluation and management of tubal factor infertility and serves as a useful tool for clinical practice and future research in the field of reproductive medicine.
Analysis Implications of Financial Literacy, Socialization, Experience, Attitude, and Locus of Control on Financial Behavior of University Student
Authors: Setiawan Hendry , Laulita Nasar Buntu
Published: August 2024

The economic development of a country must be accompanied by good and responsible public financial behavior, so this research aims to analyze the factors that impact financial behavior. Several factors examined in this research are financial literacy, financial experience, financial attitudes, financial socialization, and locus of control. The samples tested in this study were students studying at Batam International University (UIB), Riau Islands. The research result using a partial test (t-test) indicated that financial literacy, financial experience, financial attitudes, and financial socialization had a significant effect on financial behavior. Meanwhile, locus of control does not affect UIB students' financial behavior.
Pengaruh Motivasi Kerja dan Kedisiplinan Kerja terhadap Kinerja Pegawai UPT Puskesmas Seko
Authors: Tarae Kurniati , Sundari Ocky
Published: August 2024

This research aims to examine the influence of work motivation and work discipline on employee performance. The population of this study were all employees of the UPT Puskesmas Seko, North Luwu Regency, South Sulawesi Province. The sample for this research was 60 people. The analysis technique used to prove the hypotheses is multiple linear regression with data processing using Statistical Package for Social Science (SPSS) version 23 software. Based on testing, the research results show that work motivation has a significant effect on the performance of UPT Puskesmas Seko employees. The higher the encouragement or motivation given to employees the higher the employee's performance will be. Work motivation can be received from various aspects starting from the relationship between superiors and subordinates, work environment, salary, and facilities provided. Other findings show that work discipline has a significant effect on employee performance. The disciplined attitude of UPT Puskesmas Seko employees means they always comply with regulations and carry out their obligations as they should. Apart from that, work discipline can also help UPT Puskesmas Seko employees to understand work problems given by the leaders so that there are no employees who underestimate and violate regulations so that employee performance will be better.