bluuebunny/crossref_metadata_2025 huggingface dataset:
Creation and development of Soviet military justice bodies (1918-1920): historical and legal analysis
Authors: Suchkova Margarita , Khachaturian Mikhail , Yatskova Anna
Published: October 2024

The article analyzes the legal regulation of the organization and functioning of military justice bodies in the early years of the state-legal construction of the Soviet government. The authors, based on the study of normative sources, reveal the content of military judicial reform, assess the conditions and factors that influenced its implementation, and also analyze the effectiveness of the activities of military justice bodies to maintain discipline and ensure law and order in the Red Army in 1918-1920.
Verbal organization of legal prescriptions in normative legal acts regulating the activities of the internal affairs bodies of the Russian Federation
Authors: Garashko Anna
Published: October 2024

In the article, the author examines the basic principles of the verbal organization of legal norms in such sources of law as normative legal acts regulating the activities of the internal affairs bodies of the Russian Federation.
An analysis of a cadaver with a rare anatomical variation of thyrocervical trunk
Authors: Rydzewski Michał , Mysiorska Dominika , Klepacki Łukasz
Published: October 2024

Introduction

The course of the branches of the thyrocervical trunk (TT) such as the inferior thyroid artery (ITA), suprascapular artery (SSA), transverse cervical artery (TCA) and ascending cervical artery (ACA) has a range of anatomical variations. The available literature distinguishes between 4 to 9 types of TT variation and its branches.

Aim

The following paper presents an anatomical variation that was not included in any known classifications.

Case study

During routine dissection of a body of a 84-year-old woman located in the Department of Anatomy of the University of Warmia and Mazury in Olsztyn, a following course of TT was observed. In the described case the SSA derives directly from the subclavian artery (SA), while the TT gives away ITA, ACA and TCA, which further bifurcates into two dorsal scapular arteries (DSA).

Results and discussion

The analysis of the described cadaver showed that this anatomical variation of TT cannot be included in any known classification. This indicates, that it is a very rare anatomical variation of the TT.

Conclusions

Knowledge of the course of the branches of TT has some significant clinical importance, inter alia during endovascular procedures, during which any mistakes may result in serious consequences for the operated patient. The most accurate understanding of the course of TT vessels and the dissemination of knowledge on this subject may reduce the risk of complications after the treatment.
BIBLIOMETRIC ANALYSIS: DEVELOPMENT AND DYNAMICS OF PUBLIC SERVICE RESEARCH FOR PEOPLE WITH DISABILITIES
Authors: Artanti Cheryl Amelia , Permatasari Indah , Imania Katriza , Thamrin M. Husni
Published: October 2024

This study aims to present a bibliometric analysis of the research development on public services for disabilities from 2015 to 2023. The study utilizes data from the Scopus database using the keyword "Public services for disabilities" to identify and analyze relevant journal articles, conference proceedings, and books. The search method involves using these keywords in the title, abstract, and keywords of articles. Collected data includes the annual publication count, document types (journal articles, conference proceedings, books), influential primary authors, patterns of co-authorship among authors, and international collaboration among research institutions. Results of the analysis encompass trends in publications in this field, predominant document types, influential primary authors, and patterns of author collaboration. Key findings indicate a significant increase in journal article publications throughout the period, with specific attention to health, policy, technology, and social support aspects for individuals with disabilities. The analysis also highlights the development of specific topics receiving greater attention from researchers. This study provides insights into research dynamics in this field and identifies areas needing further attention to enhance inclusivity and quality of life for individuals with disabilities globally.
ANALYSIS OF LOVE SCAM: CASE STUDY OF SEXTORTION INVOLVING A MEMBER OF THE MEDAN DPRD
Authors: Senonugroho Handy
Published: October 2024

The rapid advancement of communication technology has brought about significant changes in societal interactions, but it has also amplified the threat of cybercrimes, including love scams and sextortion. This article explores cases of sextortion involving a convict and a member of a regional legislative council, while delineating the cyberculture and space transition factors that facilitate these crimes. Furthermore, the article adopts a qualitative approach with case study method and literature study to comprehend the phenomena of love scams, sextortion, and related cases. Policing strategies for tackling sextortion are presented, with an emphasis on e-policing. Conclusions and recommendations for effectively combating sextortion are also discussed, including the importance of prevention, the utilization of technology, and a focus on victim recovery. The article proposes a collaborative effort to address this issue comprehensively.
THE INFLUENCE OF ARTIFICIAL INTELLIGENCE IN THE MEDIA INDUSTRY IN INDONESIA
Authors: Masriadi Masriadi , Bahri Halida
Published: October 2024

The influence and use of Artificial Intelligence (AI) in the mass media industry in Indonesia has begun to be applied. Both online media and television. In fact, mass media in Indonesia also produce content in the form of audio, video, text and presenters using AI. The use of this technology does make it easier for media workers. However, it has various shortcomings and problems that arise as a logical consequence of the presence of AI technology. This research was conducted using a qualitative approach with a descriptive analysis style. The results show that AI technology has shortcomings in terms of accuracy, verification, and validation of data collected from the digital universe. On the other hand, it has no legal justification in Indonesia. For this reason, special regulations for the use of AI in the Indonesian mass media are needed. Thus, the public as the main recipient of information is not harmed and maintains the image of the media industry as the most trusted institution in the country.
Strategi Tukang Becak dalam Mempertahankan Pekerjaan Pasca Munculnya Transportasi Ojek Online ( Studi Kasus Kota Banda Aceh)
Authors: Setiawan Farhan
Published: October 2024

Tujuan penelitian untuk mengetahui Strategi tukang becak dalam mempertahankan pekerjaannya. Penelitian ini menggunakan metode kualitatif. Teknik pengumpulan data menggunakan metode observasi, wawancara, dokumentasi. Hasil penelitian menunjukkan dibagi atas dua strategi yang pertama strategi Adiktif yang dimana diantaranya  menambah waktu mangkal, menjaga kenyamanan dan kepuasan pelanggan, menjaga penampilan. Dan Strategi Survival, tidak menentukan tarif. Artinya dengan adanya ojek online tukang becak harus mengikuti atau menyesuaikan tarif yang sama agar keadilan juga bisa dirasakan keduanya. Mereka menggunakan cara tersebut untuk tetap brada pada pekerjaan tukang becak agar tetap bisa bersaing ditengah munculnya transportasi ojek online ini. Cara yang mereka lakukan pun beragam akan tetapi hanya sebagian saja yang memakai cara atau startegi. Ada juga yang tetap pasrah dan tetap berdoa agar dimudahkan rezeki. Pandangan tukang becak terhadap ojek online juga didapat dalam beberapa hal mulai dari salahnya pemerintah kenapa diberi izin sebanyak ini ojek online. Setalah itu menurunnya ekonomi mereka dengan adanya ojek online ini. Pendapatan mereka hanya 100 ribu dlam sehari berbanding jauh ketika belum adanya ojek online ini mereka bisa menghasilkan 150 hingga 200 ribu dalam sehari. Perbandingan ini membuat tukang becak mengeluh dengan kehidupan yang serba sulit
THE ESSENCE OF ROGAN ART CAPTURING HUMAN EMOTIONS
Authors: Agrawal Rinku , Solanki Mishva , Chudgar Maitree
Published: October 2024

Rogan art, also known as Rogan painting, is a traditional art form that originated in the Kutch region of Gujarat, India. The art is characterized by its bold colors, intricate patterns, and highly stylized motifs, often depicting elements from nature, such as flowers, birds, animals, and geometric shapes. The art of Rogan painting on cloth dates back centuries. The Rogan technique was traditionally associated with the Afridi tribe of Pathans. The main aim was to combine traditional Rogan art with contemporary line work to depict human behavior and emotions through psychedelic art. This project showcases early-stage conceptual clothing that add scent to emotional fashion by amalgamating the confidence-boosting and socially acceptable aspects of fashion design with the beneficial psychological effects of mood manipulation. It investigates the expanding frontier of smell by seeking out unusual sensations that can be integrated into the fashion palette to generate radical properties that benefit the wearer. The graduate collection 'Enkrateia' blends fashion, sustainability, and psychology. The paper explores emotional clothing and new connections with the body to discover how fashion may make a difference. It describes experimental ideas for a collection of clothes that adds function to fashion design, enhancing the quality of life for human beings suffering from stress or illnesses
HISTORICAL AND CULTURAL HERITAGE OF BUNDELKHAND REGION CONSERVATION, VISUALIZATION, USING G.I.S TECHNOLOGIES
Authors: Verma Ashish , Devi Artti
Published: October 2024

This research paper investigates the conservation, visualization, and study of Bundelkhand's historical and cultural heritage using Geographic Information Systems (GIS) technologies. Located in central India, Bundelkhand is renowned for its rich historical sites, including ancient temples, forts, and palaces. These sites face significant preservation challenges due to environmental degradation, neglect, and socio-economic constraints. This study explores the application of GIS technologies in documenting, analyzing, and visualizing Bundelkhand's heritage. GIS offers powerful tools for creating detailed inventories, assessing the physical condition of structures, monitoring changes, and enhancing public engagement through immersive visualizations. The paper highlights the transformative potential of GIS in heritage conservation through case studies of the Khajuraho temples and the Orchha Fort Complex, demonstrating how GIS facilitates comprehensive documentation, condition assessment, and informed conservation strategies. While GIS technologies present numerous benefits, such as enhanced data integration and improved spatial analysis, challenges related to data accuracy, technical expertise, and resource constraints must be addressed. The study underscores the need for a balanced approach that combines traditional conservation methods with advanced GIS technologies to ensure the sustainable preservation of Bundelkhand's cultural legacy. By leveraging GIS, conservationists, researchers, and policymakers can safeguard Bundelkhand's heritage, promote sustainable tourism, and foster a deeper appreciation for the region's rich cultural history. This research contributes to the broader discourse on digital transformation in heritage conservation, emphasizing the critical role of GIS in preserving and promoting cultural heritage in the digital age.
THE BENEFITS OF SOMALIA’S IAEA MEMBERSHIP: ADVANCING DEVELOPMENT THROUGH NUCLEAR TECHNOLOGY
Authors: Ulusow Ayub Hassan , Ali Hussein Abdullahi
Published: October 2024

Somalia’s membership in the International Atomic Energy Agency (IAEA) marks a pivotal step in its development journey. As the IAEA promotes the peaceful use of nuclear technology, Somalia stands to benefit significantly in sectors such as agriculture, health, energy, and environmental management. This review explores the potential contributions of IAEA membership to Somalia’s development, focusing on nuclear technology applications in various sectors, and provides real-time data on the ongoing projects and collaborations. The paper also highlights challenges Somalia might face in fully utilizing IAEA support and suggests strategies for optimizing the country's engagement with the agency.
Eficiencia de uso del nitrógeno por el cultivo de papa (Solanum tuberosum L.) en suelos volcánicos de Chimborazo, Ecuador
Authors: Gaibor Fatima , Espinosa José , Cartagena Yamil , Parra Rafael , Torres Carrera Cristhian , Alvarado-Ochoa Soraya
Published: October 2024

La provincia de Chimborazo es una de las zonas de mayor producción de papa (Solanum tuberosum L.) en el Ecuador y el manejo de la nutrición del cultivo es uno de los limitantes para alcanzar altos rendimientos. El objetivo de la presente investigación fue determinar la eficiencia de uso del nitrógeno (EUN) y las dosis de nitrógeno (N) necesarias para llegar a la meta de rendimiento de las variedades de papa Superchola e INIAP-Natividad. Los experimentos se implementaron bajo un Diseño de Parcela Dividida con tres repeticiones en dos localidades paperas (Cortijo Bajo y Chañag) de la provincia de Chimborazo-Ecuador, desde mayo a noviembre del año 2016. Las variables evaluadas fueron extracción de N y rendimiento total de tubérculos, con las cuales se calcularon la eficiencia agronómica de N (EAN) y las dosis de fertilización nitrogenada necesarias para las dos variedades de papa evaluadas. Los resultados indicaron que el aumento en rendimiento del cultivo de papa fue consistentemente menor a medida que se incrementaron las dosis de N con una clara respuesta cuadrática para las dos variedades. La EAN de la variedad Superchola varió entre 130 y 160, mientras que la EAN de la variedad INIAP-Natividad entre 120 y 150 kg de papa kg-1 de N aplicado; estos valores de EAN permitieron determinar la dosis de fertilización nitrogenada (120 kg-1 N ha-1 y 80 kg-1 N ha-1  para Superchola y 80 y 110 kg-1 N ha-1  para INIAP-Natividad en Cortijo Bajo y Chañag, respectivamente) que serán necesarias para lograr la meta de rendimiento en el siguiente ciclo de siembra de papa en el correspondiente dominio de recomendación de fertilización. Se concluye que el cálculo de la EAN permite ajustar efectivamente las recomendaciones de fertilización nitrogenada para el cultivo de papa bajo las condiciones edafo-climáticas estudiadas.
Sistem Pemasaran Beras Bujang Marantau Di Kecamatan Sungai Tarab, Kabupaten Tanah Datar, Provinsi Sumatera Barat
Authors: Alviedo  , Kilat Adhi Andriyono , Rosiana Nia
Published: October 2024

The “Bujang Marantau” rice variety is local rice from Tanah Datar Regency which was registered as a national superior rice variety by BPTP West Sumatra in 2015 and grows well in Tanah Datar Regency. This increase in “Bujang Marantau” rice production must be balanced with a good marketing system so that farmers and institutions marketing can receive more favorable prices. The study is aimed to analyze the channels, functions and operational efficiency of rice marketing (marketing margin, farmer’s share, and profit to cost ratio) in Sungai Tarab District. This research involved 45 farmers as samples obtained through a simple random sampling method. Marketing institution respondents were obtained using the snowball method based on the flow of information from farmers and 15 marketing institution respondents were obtained. Qualitative data is used to analyze marketing channels and institutions. Quantitative data is used to analyze marketing margin, farmer’s share, profit to cost ratio and marketing efficiency index. The results showed that there are 3 marketing channels and 3 types of marketing institutions involved. The results of the marketing operational efficiency analysis show that the relatively efficient marketing channel is channel III because it has the lowest marketing margin value, the highest farmer’s share, and the shortest marketing channel compared to other channels. Marketing institutions should further optimize the marketing functions of each institution, such as the transportation function, so that transportation costs can be lower and minimize marketing costs more efficiently.
Determinan Keputusan Petani Mengelola Usahatani Padi Di Lahan Suboptimal
Authors: Adistya Adilla , Nurmalina Rita , Tinaprilla Netti
Published: October 2024

The conversion of paddy fields seriously impacts rice availability for national food reserves, so the government is implementing a sub-optimal land extension program. Indonesia has suboptimal land that has the potential to become a national rice barn if appropriately managed. The types of suboptimal land most widely used in rice cultivation are lowland and tidal swamps, where the community can work. This research analyzes the determinants of rice farmers' decisions in managing suboptimal land. This research was conducted in West Tanjung Jabung Regency, Jambi Province, with a sample of 90 rice farmers. Data were analyzed using the multinomial logistic regression method. The determining factors are seen from the demographic and economic aspects. The research results show that factors that significantly influence farmers' decisions to choose tidal land from the demographic aspect are age and farming experience; from the economic element are the number of family dependents, land ownership status, and non-farming income. The significant determining factors in farmers' decisions to manage lowland swamp land from the demographic aspect are age and farming experience, and from the economic element are the number of family dependents and non-farming income. From the research, recommendations that can maximize the use of suboptimal land are increasing promotion and education to the community about rice cultivation on suboptimal land, providing easy access for farmers to rent land, and it is hoped that farmers will continue to have non-farming income to balance household needs and procurement of capital and farming input.
Analisis Faktor-Faktor Yang Memengaruhi Keputusan Pembelian Pupuk Anorganik (Kasus : Desa Srimulyo Dan Sukodono, Kecamatan Dampit)
Authors: Anggara Muhammad Rafi , Ibrahim Jabal Tarik , Mazwan M. Zul
Published: October 2024

Inorganic fertilizers are currently still widely used and are the main choice for farmers because they can increase crop productivity. Companies need to pay attention to consumer orientation, which is related to how to find the target market, needs and convince consumers to make a purchase. This study aims to analyze the influence of brand image, price, review, ecology, and credibility on the decision to purchase inorganic fertilizers by coffee farmers. The locations taken are Srimulyo and Sukodono villages, Dampit District, considering that the village is the largest coffee-producing village in Malang. Purposive sampling was used for sampling as many as 35 coffee farmers with the provision of using and purchasing inorganic fertilizers. The data used in the study is primary data collected through surveys with observations, interviews, questionnaires and documentation. The research uses SEM (Structural Equation Modelling) data analysis with the PLS (Partial Least Square) approach, and conducts data analysis with the help of SmartPLS 4.0 software. The results of the analysis of respondent characteristics showed that most coffee farmers were dominated by men and the level of education of farmers varied from elementary to bachelor's degree. Most of the respondents' farming experience was from 1 to 50 years with a maximum land area of 2 ha. Testing the inner model obtained a determination coefficient (R-Square) of 60.1% brand image, price, reviews, ecology, and credibility were able to explain the influence on the decision to purchase inorganic fertilizers by farmers. The results of bootstrapping data showed that brand image and ecological had a significant negative effect and reviews had a significant positive effect on the decision to purchase inorganic fertilizers. Factors that do not affect the decision to buy inorganic fertilizers are price and credibility
Faktor–Faktor Yang Memengaruhi Intensi Berwirausaha Pertanian Siswa SMK Agribisnis Di Kabupaten Cianjur
Authors: Soedono Sasmoyo Jana Priya Teuku , Budi Priatna Wahyu , Burhanuddin
Published: October 2024

Cianjur Regency is one of the areas that relies on agriculture as a support for the economy and welfare of its people. In 2020, the number of poor people in Cianjur Regency decreased, allegedly due to increasing financial prosperity. Simultaneously, the number of entrepreneurs in Cianjur Regency has increased quite rapidly. This then suggests that one of the reasons for the increasing financial welfare of the people of Cianjur Regency is entrepreneurship. The majority of the population in the productive class aged 15-19 years who are currently studying at vocational high schools (SMK) are important capital for advancing agriculture in Cianjur Regency through entrepreneurship. The aim of this research is to analyze the factors that influence the agricultural entrepreneurship intentions of Agribusiness Vocational School students in Cianjur Regency. Determination of the sample in this study used proportionate stratified random sampling. The analytical method used is descriptive analysis and PLS-SEM analysis. The research results show that the factors that influence the agricultural entrepreneurship intentions of Agribusiness Vocational School students in Cianjur Regency are attitudes towards behavior, subjective norms and behavioral control. This research suggests that collaboration between the government, schools and universities is needed so that vocational school students maintain and improve the factors that can influence entrepreneurial intentions.
Pemanfaatan Kecambah Kacang Hijau dan Kacang Kedelai sebagai Sumber Nitrogen pada Produksi Nata de Pina
Authors: Putriutami Humaira Puspita , Marvie Ilham , Fithriyani Dina
Published: October 2024

Pineapple skin, a by-product of the pineapple industry in Lampung, has significant potential for utilization. Pineapple peel extract can be used as a fermentation medium for nata de pina, thereby enhancing its added value. The production of nata de pina requires a nitrogen source that is safe for human consumption and poses no food safety risks. Legume sprouts, such as mung bean and soybean sprouts, have the potential to serve as nitrogen sources in the production of nata de pina. This study aimed to investigate the effect of varying concentrations of nitrogen sources from mung bean or soybean sprouts on the properties of nata de pina, including pH, total acidity, thickness, yield, moisture content, crude fiber, ash content, and sensory attributes (color, aroma, texture). Mung bean and soybean sprout juices were used at two concentration levels, 25% and 50% of the volume of pineapple peel juice (v/v). Data were analyzed using One-Way ANOVA with a 5% significance level, followed by DMRT if significant effects were observed. Nata de pina produced with the addition of 50% soybean juice demonstrated optimal results, with a thickness of 1.4 cm, yield of 67.5%, moisture content of 97.7%, crude fiber of 2.2%, and ash content of 0.16%. The sensory evaluation revealed scores of 4.26 for color (like), 2.92 for aroma (moderate), 3.78 for texture (like), and 3.78 for overall preference (like).
ANALISIS SEKTOR UNGGULAN DALAM PENGEMBANGAN WILAYAH KABUPATEN LOMBOK TIMUR
Authors: Ariviya Juliantari Rizka , Sutanto Himawan , Suriadi Irwan
Published: October 2024

Penelitian ini bertujuan untuk menganalisis sektor unggulan dalam pengembangan wilayah Kabupaten Lombok Timur. Penelitian ini menggunakan metode kuantitatif. Data yang digunakan berupa data sekunder yakni data Produk Domestik Regional Bruto (PDRB) Kabupaten Lombok Timur dan Provinsi Nusa Tenggara Barat tahun 2018-2022. Analisis dilakukan dengan menggunakan analisis Location Quotient, analisis Typology Klassen, analisis Model Rasio Pertumbuhan (MRP), dan gabungan ketiga alat analisis untuk mendapatkan sektor unggulan dalam pengembangan wilayah Kabupaten Lombok Timur. Hasil analisis menunjukkan bahwa sektor unggulan berdasarkan analisis gabungan Location Quotient, analisis Typology Klassen, dan analisis MRP adalah Sektor Jasa Pendidikan serta Sektor Jasa Kesehatan dan Kegiatan Sosial. Arah kebijakan pembangunan Kabupaten Lombok Timur dapat difokuskan pada dua sektor unggulan tersebut sehingga Kabupaten Lombok Timur dapat berkembang sesuai dengan potensi unggulannya.
Effectiveness of Using Physics E-Modules Based on Local Wisdom of Palembang City Food to Improve Collaboration Skills for High School Students
Authors: Nadia Hartisyah , Wiyono Ketang , Sriyanti Ida
Published: October 2024

This research aims to determine the effect of the effectiveness of an e-module based on local food wisdom in the city of Palembang on the collaboration skills of high school students on temperature and heat material. This type of research is a quasi-experiment using the pretest-posttest method. The population of this study was class XI students of SMA Negeri 2 Palembang City. The data analysis technique uses quantitative data to analyze data collected from students' collaboration skill achievement scores. The results of data analysis show the average pretest on collaboration skills was 54. The average post-test score after implementing the e-module based on local food wisdom in Palembang on collaboration skills was 80. This shows that students' skills in collaboration skills have increased. after using e-modules based on local wisdom. The main finding of this research is that the application of an e-module based on local food wisdom in the city of Palembang is effective in improving students' collaboration skills. This is proven by the results of the N-gain test analysis showing that students with collaboration skills received a score of 0.72 in the high category.
Development of Canva-Based LowkE-Book Learning Media as a Companion to PjBL to Improve Student Learning Outcomes
Authors: Fikriyyani Izza Nafisah , Supriyanto Teguh , Trimurtini
Published: October 2024

This research uses research and development methods which refer to the Borg and Gall model. This research was conducted with the aim of developing and testing the feasibility, practicality and effectiveness of Canva-based LowkE-Book learning media. This research involved 27 students with 6 small-scale trial subjects and 21 large-scale trial subjects at SD Negeri Sadeng 01. The data collection technique used was a test technique (pretest-posttest) and non-test in the form of observation results, questionnaires, interview results and document data. The validation results carried out by media expert validators and material experts showed that the Canva-based LowkE-Book learning media had met the valid criteria with a score of 90% by the media expert validator, and 96% by the material expert validator. Based on the pretest-posttest results, it is known that the Canva-based LowkE-Book is effective in improving student learning outcomes as evidenced by the increase in the average pretest score from 42.85 to 85.14 at the time of the posttest and the n gain test results obtained  value gain of 0.74 in the high category. Based on the results of the response questionnaire distributed, very positive responses were obtained from teachers and students. Based on these results, it can be concluded that the Canva-based LowkE-Book learning media is effective for improving learning outcomes in science subjects and is feasible and practical to apply in student learning.
The Influence of Gadget Use and Teacher Creativity Through Motivation on Students Learning Outcomes of Science
Authors: Lubis Rosma Diana , Iqbal Muhammad , Wahyuni Sri
Published: October 2024

This research aims to provide empirical evidence regarding the influence of gadget use and teacher creativity through motivation on learning outcomes in class VI students at SD Negeri 10 Bebesen. In this research, the author used secondary data and primary data. Secondary data was obtained from the Central Aceh District Education Office, while primary data was obtained from questionnaires for students at SD Negeri 10 Bebesen. The analysis model used is path analysis with a t-test, F-test, and coefficient of determination test. Based on partial test results (t-test) it shows that the use of gadgets has a positive and significant effect through motivation on the learning outcomes of Class VI students at SD Negeri 10 Bebesen, this is proven by the calculated t value (1.95) which is greater than the t table (1.67) with a value significance (0.01) is smaller than the significance limit (0.05). Teacher Creativity has a positive and significant effect through Motivation on Class VI Student Learning Outcomes at SD Negeri 10 Bebesen, this is proven by the calculated t value (1.82) which is greater than the t table (1.67) with a significance value (0.01) which is smaller than the significance limit (0.05).
A Trend Analysis of Project-based Learning in Chemistry Experiment: A Bibliometric Analysis
Authors: Hasanah Ika , Anwar Sjaeful , Musthapa Iqbal
Published: October 2024

Project-based learning is a global trend, widely adopted across countries. Project-based learning has developed diversely by emphasizing interdisciplinary, cross-domain, and regional collaboration. To provide in-depth resources for researchers and educators on project-based learning in chemistry experiments, this study aims to make a bibliometric analysis on the topic of project-based learning globally using publication characteristics analysis. The database used in this study used Scopus and obtained 5900 articles from 2018-2023. Bibliometric analysis was analyzed using VOSviewer and Microsoft Excel. The results of the bibliometric analysis show that Boone, C.D. is the author with the highest number of citations on the research topic, Project-based learning in a chemistry experiment. The United States is the most productive country in researching this topic, with 1351 articles. The most influential journal with the highest number of articles is the Journal of Physics Conference Series, with 243 articles. The major contextualized learning literatures in this study tend to fall into broad groups such as Project-based Learning, Education, and STEM Education. These findings suggest the need for multidisciplinary and cross-disciplinary studies on project-based learning research on chemistry learning and advocate for the inclusion of project-based learning research in education from a broader geographical context.
Testing the Construct Validity and Reliability of the Student Learning Interest Scale Using Confirmatory Factor Analysis (CFA)
Authors: Swarni Adetia , Herwin  , Sujati
Published: October 2024

Learning interest is one of the determining factors of student learning success. The low interest of students in learning process is caused by several problems that occur. Thus, learning interest is very important in learning progress, namely to bring out students' interest and activeness in learning. To support learning and increase students' interest in learning, teachers should not only master the material but also create interesting learning to help arouse curiosity, enjoyment and interest in learning in them. This study aims to test the validity and reliability of the construct of the developed learning interest scale. A researcher needs 250 to 500 respondents. This study involved 300 random samples of fifth grade elementary school students in Berbah District, Sleman, Yogyakarta, Indonesia. Data were analyzed with second-order confirmatory factors assisted by IBM SPSS version 26 software. This study measures the validity and reliability of elementary school students' interest in learning science. So the data analysis in this study measures validity and reliability. So this study uses second order confirmatory factor analysis (nd order CFA). The results showed that the developed learning interest scale had met the criteria of suitability, convergent validity, discriminant validity, construct reliability. Therefore, the developed scale is feasible to use.
Test of the Effectiveness of Earthworm Flour (Lumbricus rubellus) Gastroretentive Mucoadhesive Granule Formulation on Male White Rats (Rattus norvegicus) Infected with Salmonella typhi
Authors: Magfirah  , Bengkati Stely Gracia , Tandi Joni , Anggi Viani
Published: October 2024

Lumbricus rubellus contains lumbricin which is efficacious for treating typhoid fever. The aim of the research was to determine the effectiveness of gastroretentive mucoadhesive granule preparations from earthworm flour. This study used 30 male Wistar rats which were divided into 6 groups which were given orally, the normal and negative control groups were given Na-CMC, the positive control group was given chloramphenicol, and the treatment group was given doses of 200 mg/kgBW, 400 mg/kgBW and 800 mg/kgBW. mg/kgBB gastroretentive mucoadhesive granules earthworm flour. The results of body temperature measurements, on day 7 the control group obtained results of ±37.08, ±39.00 and ±38.09 respectively, and the treatment group obtained results of ±38.09, ±38.09 and ±38.07 respectively. On day 21, the control group obtained results of ±37.08, ±39.00 and ±38.09, respectively, and the treatment group obtained results of ±38.09, ±38.09 and ±38.07, respectively. The Widal test results on the 7th day were positive and after 14 days of administering the preparation on the 21st day the results were negative. It was concluded that the effective dose for typhoid fever therapy was a dose of 400 mg/kgBW.
Dry and Wet Spell Probability by Markov Chain Model over Adilabad District of Telangana
Authors:   Meteorological Centre, Airport Colony, Indian Meteorological Department, Begumpet, Hyderabad, Telangana, India, V Guhan , A Sravani ,   Meteorological Centre, Airport Colony, Indian Meteorological Department, Begumpet, Hyderabad, Telangana, India, L V Rao ,   Meteorological Centre, Airport Colony, Indian Meteorological Department, Begumpet, Hyderabad, Telangana, India, A Murali Krishna ,   Meteorological Centre, Airport Colony, Indian Meteorological Department, Begumpet, Hyderabad, Telangana, India, B Muralidhar ,   Meteorological Centre, Airport Colony, Indian Meteorological Department, Begumpet, Hyderabad, Telangana, India
Published: October 2024

This research uses the Markov Chain Model to analyze dry and wet spells in Telangana, India’s Adilabad district. The research intends to provide significant insights for agricultural planning in the region, which is critical considering that agriculture is the foundation of Indian economy. The study emphasizes the need to understand and effectively exploit natural resources, particularly rainfall, for the improvement and sustainability of rainfed agriculture. According to the calculation, there is a 70% chance of two consecutive wet weeks throughout the monsoon season (24th SMW to 40th SMW), resulting in about 17 weeks of monsoon rain in the Adilabad area. This enables the successful development of short-duration crops like rice. According to the study, the Markov Chain Model is effective for simulating the long-term frequency behavior of wet or dry spells, providing a comprehensive understanding of rainfall patterns and their impact on agriculture in the Adilabad District
O ensino remoto e seus impactos na aprendizagem de crianças pequenas
Authors: Oliveira Maria de Lourdes
Published: October 2024

A obra O ensino remoto e seus impactos na aprendizagem de crianças pequenas: um estudo nas Escolas Públicas de Cidade de São Roque (SP) é o resultado de uma investigação científica realizada pela autora, enfatizando os impactos do ensino remoto durante o período pandêmico no processo de aprendizagem das crianças pequenas matriculadas em escolas públicas de São Roque/SP. Apresenta o caráter de ampliação do conhecimento sobre a temática da Educação Infantil, especialmente durante a pandemia da COVID-19, explorando as principais teorias e autores que tratam do assunto, buscando incessantemente conciliar com a prática vivenciada no interior das salas de aula.
Diversity of tree flora in the forest galleries of four ponds in the Comoé National Park (north-east Ivory Coast)
Authors: Danielle Axelle Olivia RABE  , Kouadio Henri KOUASSI  , Kanga Justin KOUASSI  , Yao Bertin KOUAKOU
Published: October 2024

The riparian forest galleries of the ponds in the Comoé National Park (CNP) constitute microhabitats colonised by a specific plant and animal community. These plant formations are of great research interest. These initiatives could lead to efficient management of these biomes in the short, medium and long term. This study is part of an effort to make the most of plant resources in forest galleries. The aim of this study is to assess the diversity of riparian species in the ponds of the CNP. The information was collected using the surface survey method combined with the roving inventory method. The inventory identified 78 species divided into 63 genera and 30 families. The buffalo pond forest gallery has the highest species richness, with 39 species in 33 genera and 19 families. The study also showed that for trees with DBH ≥10 cm, the species Diospyros mespiliformis (25.89%), Mitragyna inermis (17.11%), Khaya senegalensis (12.27%), Piliostigma thonningii (11.65 %), Cola gigantean (11.16 %), Vitellaria paradoxa (10.90 %) and Zanthoxylum zanthoxyloides (10.84%)) are the most abundant in riparian pond formations. The Fabaceae and Rubiaceae families are the most represented in terms of number of species, demonstrating that the flora of the forest galleries in Comoé National Park is of major ecological interest.
Cervical ossification of the posterior longitudinal ligament revealed by cervical trauma: A case report with literature review
Authors: Mamoune El Mostarchid  , Hamama Mustapha  , Nizar Fatemi  , Maaquili My Rachid
Published: October 2024

Background: Ossification of the posterior longitudinal ligament (OPLL) refers to bone formation within the posterior longitudinal ligament of the spinal column. This disease of the cervical spine results in a reduced volume of the spinal canal and can cause spinal cord damage. The onset of cervical OPLL is insidious. OPLL may increase the risk of spinal cord injury with various neurological deficits after minor trauma. An acute event can reveal a previously unknown or paucysymptomatic cervical OLLP. The aim: To present a case of unknown cervical OLLP revealed by cervical trauma after a traffic road accident. Case report: A 47-year-old female presented intractable cervicobrachial neuralgia in the posttraumatic aftermath of a traffic road accident. Computed Tomography (CT) and Magnetic resonance imaging (MRI) demonstrated an isolated OPLL from C5 to C6, causing significant nerve compression operated via anterior approach with discectomy and intervertebral cervical cage. Conclusion: Acute cervical trauma must be considered a mode of revelation of previously unknown or paucisymptomatic cervical OLLP and must be considered in the emergency room.
Sustainable multi-story building design utilizing recycled marble and ceramic waste
Authors: Ruchit Parekh  , Leslie Norford  , James Hughes
Published: October 2024

This study explores the design of a multi-story structure utilizing recycled waste materials. Locally produced materials from recycled sources were used for making concrete and bricks. The design of a 10-story building was carried out using ETABS software. In the process, 10% of the cement in the concrete was replaced with waste marble powder (WMP), while the bricks were made by replacing 12% of clay with waste ceramic powder and 15% with waste brick powder. The materials were developed in a laboratory, adhering to ASTM standards, and their properties were input into the software for analysis and design. The results were compared to a structure made with traditional materials. The analysis showed that using recycled materials led to the conservation of 164 tons of cement and 475 cubic meters of fertile clay while maintaining the required stability standards as per building codes. The design also prevented the release of 148 tons of carbon dioxide into the atmosphere and reduced the energy demands associated with cement production. Additionally, the building utilizing waste materials was found to be Rs. 5.8 million more economical than one made with conventional materials.
The Role of AI-powered financial analytics in shaping economic policy: A new era for risk management and national growth in the United States
Authors: Jodian Campbell  , Boris A Koffi
Published: October 2024

The integration of AI-powered financial analytics is revolutionizing how U.S. enterprises and policymakers’ approach economic forecasting and risk management. This article explores the role of AI-based tools, such as machine learning and predictive analytics, in enhancing financial decision-making processes and shaping national economic policy. By providing real-time insights and accurate predictions, AI enables businesses and regulators to anticipate economic trends, mitigate financial risks, and foster financial stability. Through case studies, the research demonstrates how AI has driven economic growth, reduced risks, and enhanced financial oversight within key sectors. Additionally, it investigates the implications of AI on policymaking, highlighting how AI-enabled tools support the development of data-driven economic policies for long-term national growth. Despite the transformative potential, the article also addresses the ethical and regulatory challenges in deploying AI for economic decision-making. Ultimately, this research emphasizes that the future of economic policy in the United States is increasingly tied to the continued advancement and integration of AI-powered financial analytics.
Regional trade agreements and economic integration in Africa: assessing the impact of the African Continental Free Trade Area (AFCFTA)
Authors: Oluwatosin Esther Ajewumi  , Jide Adedamola Afolabi  , Ikenna Joe-Akunne
Published: October 2024

This article examines the impact of Regional Trade Agreements (RTAs) on economic integration in Africa, focusing on the African Continental Free Trade Area (AfCFTA). As the largest free trade area globally, AfCFTA aims to create a unified market for goods and services across 55 African Union member states, fostering economic growth, reducing trade barriers, and enhancing intra-African trade. This article assesses the potential economic benefits of AfCFTA, including increased market access, industrialization, and job creation. It also considers the challenges of implementation, such as infrastructure deficits, varying levels of economic development, and non-tariff barriers. Through case studies of key African economies, including South Africa, Nigeria, and Kenya, the article explores how AfCFTA is reshaping trade dynamics and regional cooperation. Furthermore, it evaluates the role of AfCFTA in addressing Africa’s dependence on external markets and enhancing global competitiveness. The article concludes by providing recommendations for policy reforms, capacity building, and regional cooperation needed to maximize the benefits of AfCFTA. By analyzing both opportunities and challenges, this article offers insights into how AfCFTA can drive deeper economic integration and sustainable development across the African continent.
Trend in agricultural growth and cassava productivity in Nigeria (1961 – 2020)
Authors: Justice Ekundayo OMOLUABI  , Stephen Jimoh IBITOYE
Published: October 2024

This study analyzed the trend in agricultural growth and cassava productivity in Nigeria (1961 – 2020). Time series on variables of interest were sourced from the Central Bank of Nigeria (CBN) statistical bulletin, the National Bureau of Statistics (NBS), and FAOSTAT. The secondary data obtained were analysed using trend analysis, instability index, compound growth rate model, and the Granger causality test. The results showed that Nigeria’s agricultural output generally experienced an upward trend from 1960-2020. The findings also revealed a general increase in the output of cassava produced in an area in the country within the study period. The yield however experienced some relatively stable trend with mild fluctuations and a noticeable decline in 2013. Across the major policy line considered in this study, the pre-SAP era (1961 – 1985) had the lowest mean output, while the SAP and post-SAP era had the highest mean output of 24772.15 and 45181.94 respectively. The values of instability of production and land put under cassava cultivation are more pronounced in Period II [1986–1998] and Period III [1999–2020]. During period I, (Pre – SAP; 1961 – 1985), the compound growth rate (CGR) for production accelerated while yield stagnated with a CGR of 0.2%. In period II, (CGR for production (6.2%) and area (6.3%) for cassava accelerated; both CGR and instantaneous growth rate for yield experienced stagnation. For period III, there was an acceleration in output and area. There was unidirectional causality between production (output) and area under cultivation, agricultural growth and cassava production, agricultural growth and area under cassava cultivation at a 5% level of significance; while area under cassava cultivation and cassava productivity, productivity and area under cultivation exhibited a bi-directional causality at 5% significant level. The findings are compelling reasons for encouraging cassava production for sustainable food production in Nigeria as it is a versatile staple to address food security.
Comparative analysis of machine learning algorithms for sentiment classification in social media text
Authors: Israt Jahan  , Md Nakibul Islam  , Md Mahadi Hasan  , Md Rafiuddin Siddiky
Published: October 2024

In the era of social media, sentiment analysis has become crucial for understanding public opinion. This study presents a comparative analysis of five machine learning algorithms for sentiment classification in social media text: Logistic Regression, Support Vector Machines (SVM), Random Forest, Naive Bayes, and Gradient Boosting. Using a dataset of 100,000 tweets collected over three months, we evaluated these algorithm's performance in classifying sentiments as positive, negative, or neutral. The data underwent extensive preprocessing, including cleaning, normalization, and addressing class imbalance using SMOTE. Our results show that Logistic Regression and SVM achieved the highest overall accuracy at 86.22%, demonstrating balanced performance across all sentiment classes. Random Forest followed closely with 82.59% accuracy, while Naive Bayes and Gradient Boosting showed lower but still noteworthy performance at 70.45% and 69.96% respectively. All models exhibited challenges in classifying negative sentiments, suggesting potential areas for improvement. The study provides insights into each algorithm's strengths and weaknesses, offering guidance for practitioners in selecting appropriate methods for sentiment analysis tasks. Our findings contribute to the ongoing research in applying machine learning to the complex task of sentiment analysis in the rapidly evolving landscape of social media communication.