bluuebunny/crossref_metadata_2025 huggingface dataset:
STUDI IDENTIFIKASI DAN DESAIN SABO DAM OP-RRC3A DI SUNGAI OPAK KABUPATEN SLEMAN
Authors: Nurokhman Nurokhman , Kristiyanto Hery , Budiyanto Muchamad Arif , Harjanto Harjanto
Published: June 2024

Erupsi Gunung Merapi  yang memiliki periode letusan tiap 3 – 7 tahun akan menyebabkan hamparan material lava letusan pada bagian hulu Sungai dan pada saat hujan dengan intensitas tinggi mengakibatkan timbunan material lava yang mengalir menjadi aliran debris. Beberapa kejadian aliran  debris menjadi bencana yang merusak inftrastruktur bahkan hingga timbul korban manusia. Sabo dam merupakan salah satu konstruksi untuk pengendalian aliran Sungai sekaligus pencegahan bencana aliran sediman.  Salah satu Dam Sabo Sungai Opak adalah sabo dam OP-RRC3a  di Kabupaten Sleman menuju Candi Prambanan. Dalam perencanaan telah dilakukan identifikasi kondisi eksisting lokasi, penetapan lokasi, desain konsep, perancangan dimensi dan tinjauan terhadap stabilitas bangunan.  Tujuan studi ini adalah untuk mengetahui identifikasi parameter desain bangunan sabo dam dan evaluasi opsi konsep desain bangunan sabo. Hasil identifikasi Sungai Opak  pada lokasi OP-RRC3a memiliki panjang sungai 10,12 km dengan aliran Sungai Opak pada lokasi OP-RRC3a berasal dari Daerah Aliran Sungai (DAS) Opak yang memliki luas kurang lebih 6,74 km2, elevasi sungai bagian hulu sebesar 1149,850 mdpl dan bagian hilir sebesar 465,20 mdpl serta memiliki kemiringan dasar sungai 0,068. Kondisi tata guna lahan sebagian besar masih berfungsi sebagai perkebunan dan ladang dengan dasar sungai berbatu dan lebar sungai sempit  serta badan sungai masih ditutupi rerumputan. Hasil pengujian daya dukung tanah menurut Meyerhorf (1976) qa = 136,67 T/m2 dan menurut modifikasi Meyerhorf (1976 dan 1974) qa = 144,42 T/m2. Konsep desain sistem sabo dam pada OP-RRC3a dengan luas tangkapan 6,70 km2, kemiringan 8,74%, tinggi 7 m, overflow 15 m dengan tipe konsolidasi dan tambahan fungsi untuk peningkatan intake irigasi Desa Wukirsari di sebelah kanan seluas 25 Ha dan di sebelah kiri Desa Argorejo seluas 15 Ha.
Aktivitas Antibakteri Sediaan Gel Ekstrak Etanol Daun Kakao (Theobroma cacao L.) Terhadap Bakteri Penyebab Jerawat Cutibacterium acnes dan Staphylococcus epidermidis
Authors: Gunawan Putri Sartika , Kaliu Sutriani , Syahruddin Muhammad
Published: June 2024

Cocoa (Theobroma cacao L.) is classified as a superior commodity plant for Indonesian plantations. One of the largest cocoa-producing areas in Indonesia is Kolaka Regency, Southeast Sulawesi. On cocoa plantations, a lot of waste is produced in the form of cocoa leaves because cocoa processing has focused on the fruit shell and seed, also trimming the shape to increase cocoa production. However, based on their compound, cocoa leaves have another potential that can have high economic value, as an antibacterial. This research aims to evaluate the effectiveness of ethanol extract gel derived from cocoa leaves (Theobroma cacao L.) in combating acne-causing bacteria, namely Cutibacterium acnes and Staphylococcus epidermidis. The experimental approach involved testing various concentrations (25%, 30%, and 35%) of cocoa leaf extract incorporated into gel preparations using the agar well diffusion method. Positive control included 0.1% Gentamicin, while negative control comprised gel preparations lacking the extract. Cocoa leaves sourced from Kolaka Regency, specifically older leaves, were utilized in the study. Results demonstrated that the ethanol extract gel exhibited antibacterial properties against both bacteria. Optimal inhibition was observed at a 30% extract concentration, yielding inhibition zones measuring 13.25 ± 2.45mm and 12.49 ± 1.82mm against Cutibacterium acnes and Staphylococcus epidermidis, respectively. These findings underscore the efficacy of cocoa leaf extract gel in inhibiting bacterial growth, thereby highlighting its potential as an antibacterial agent.
Potensi Senyawa Bioaktif Caelsalpinia sappan L. sebagai Antiparasit Intestinal Pada Kejadian Stunting Anak: Studi In Silico
Authors: Suryandari Asriningsih , Alfarizqi Drestra Ardhana , Al Izza Muhammad Rafif Rafsya
Published: June 2024

Stunting is a chronic malnutrition condition in children under five years old. One of the factor causing stunting is the presence of the Giardia intestinalis parasite which can interfere with the absorption of fats and carbohydrates from food digested by the body or called malnutrition. Giardia intestinalis antiparasitic drugs circulating in the community today are generally synthetic chemical products. This certainly has an impact on long-term human health, especially children. Therefore, the selection of alternative traditional medicine is a solution to the use of synthetic drugs. In Indonesia, the secang plant is found abundantly and empirically has the potential to be used as an antiparasitic. The purpose of this study was to determine the potential of the active compound C sappan L as a drug candidate according to Lipinsky, the effect of C sappan L compounds on fructose 1,6 biphosphate aldolase protein on stunting, and the effectiveness of brazilein and metronidazole against giardiasis infection. This research method is an in silico test with a molecular docking method on the active compounds of C sappan L and their interaction with fructose 1.6 biphosphate aldolase protein. Pharmacodynamic physicochemical data from the active compounds of brazilein obtained the value of proton donors and proton recipients fulfill Lipinski's rule, where according to Lipinski's rule a maximum of five proton donors and ten proton recipients. Thus, the molecular weight is less than 500 and the molar refraction is in the range of 30-120. Brazilein compound inhibit protein 1,6 biphosphates by binding to 8 amino acid residues (Ser 213, Ser 212, Val 254, Asn 253, Asp 255, Asp 83, Arg 259, His 178) so that the activity of fructose 1,6 biphosphates decreases and has potential as a preventive and curative agent against stunting.
Eksplorasi dan Pemanfaatan Vgetasi Sebagai Upaya untuk Mendukung Konservasi Air pada Mata AirOel’Kunion Tun’Noe, Kabupaten Tengah Utara
Authors: Nabu Natalia Maryani , Binsasi Remigius , Blegur Willem Amu
Published: June 2024

The research aims to identify the types of vegetation surrounding the Oel'Kunion spring in Tun'noe Village, North Central Timor Regency, and assess their impact on water availability at the spring and conducted from May to August 2023. The study employed the quadratic method, utilizing eight plots along observation transects at the spring. Data on vegetation were collected, including information on tree growth forms, poles, saplings, and seedlings. Results revealed a total of 23 species comprising 99 individuals of tree growth, 107 individuals of pole growth, 99 individuals of sapling growth, and 575 individuals of seedling growth around the Oel'Kunion spring. Analysis indicated Syzygium aqueam as the tree species with the highest Important Value Index (INP) at 133.72%, while Areca catechu ranked highest for poles (222.81%), saplings (187.73%), and seedlings (79.7%). The Shannon-Wiener Diversity Index fell within the medium category, while the Evenness Index was high, and the Dominance Index was low. The vegetation surrounding the Oel'Kunion spring plays a crucial role in sustaining the spring and ensuring water availability in the area, underscoring the need for conservation efforts to protect this vital ecosystem.
Hubungan Kekerabatan Kacang Lokal Genus Vigna dan Phaseolus di Kabupaten Timor Tengah Utara Berdasarkan Karakter Anatomi
Authors: Kefi Yunita , Bani Polikarpia Wilhelmina , Bria Emilia Juliyanti
Published: June 2024

This study aims to determine the variations and relationships of the genera Vigna and Phaseolus based on anatomical characteristics. This research uses qualitative and quantitative methods. The parameters used in this research are 23 characters consisting of 17 quantitative characters and 6 qualitative characters. are the anatomical characteristics of roots, stems, leaves, stomata, and trichomes. Data analysis uses the Similarity Index calculation. Next, a cluster analysis was carried out to group plants that had similar characteristics among the 7 species used as research objects. The research results show that there are 2 large clusters with a similarity index of 0.57. Furthermore, a closer relationship was seen in the upright type Phaseolus vulgaris (kidney beans) and Vigna umbellata (rice beans) with a similarity index of 0.78.
Low genetic diversity of the Indonesian Tokay Gecko (Gekko gecko) (Reptilia: Gekkonidae): Introduce or Native?
Authors: Muammar Kadafi Ahmad , Alif Fauzi Muhammad , Ardiantoro Ari , Zakky Quraisy , Arya Dwi Nugraha Fitra , Priambodo Bagus , Fahmi Muhamad , Munir Misbahul , Riyanto Awal , Hamidy Amir
Published: June 2024

This study investigates the genetic diversity and distribution patterns of the Tokay gecko (Gekko gecko) in Indonesia. Using the NADH2 sequence, we analyzed 26 samples from various Indonesian localities and 78 sequence data from other regions, including China, Vietnam, Myanmar, Laos, Cambodia, Thailand, Malaysia, Timor, and the United States. Phylogenetic analyses using Maximum Likelihood and Bayesian Inferences revealed similar topologies and identified four distinct lineages with strong support values. Remarkably, Indonesian Tokay geckos clustered into a single lineage, exhibiting low genetic diversity despite being geographically separated by the Indonesian archipelago's oceans. In contrast, geckos from mainland Southeast Asia displayed higher genetic diversity, reflecting biogeographical separation and ecological barriers. These differences indicate varying speciation and distribution processes between mainland Southeast Asia and Indonesia. It is likely that the Indonesian population of Tokay geckos originated from Indochina. The low genetic diversity suggests a recent distribution pattern, possibly caused by anthropogenic factors such as wildlife trade and human-mediated movement. This is further supported by the tendency of Tokay geckos in Indonesia to inhabit human settlements and lowland.
Environment Friendly Soil Stabilization Using Lignin Biopolymer
Authors: Dr. S. Syed Enayathali  , V. Nachiappan  , Suganth Priyan V
Published: June 2024

The using of lignin biopolymer for soil stabilization offers a sustainable solution that promotes environmental protection and conservation while meeting the engineering and agricultural wishes for soil control. the usage of lignin biopolymer for soil stabilization is an incredible environmentally friendly method. Lignin, a complicated natural polymer found in plant mobile partitions, has diverse packages because of its potential to bind soil debris together and enhance soil systems like Biodegradability, Soil Erosion, development of Soil houses, reduction of Chemical utilization, Waste usage, Compatibility with natural farming.
Women’s Financial Behaviour in The Workplace
Authors: Aarzoo Saxena  , Dr. Mohit Rastogi  , Dr. Mohit Rastogi
Published: June 2024

This research paper explores the financial behavior and decision-making of women in the workplace. It examines factors such as income, spending habits, saving and investing patterns, retirement planning, and gender-based disparities. The study surveyed 1,000 employed women across various industries, age groups, and income levels. Key findings indicate that women tend to prioritize short-term financial goals, are more risk-averse in their investment choices, and face unique challenges in retirement planning due to longer life expectancies and career interruptions. The paper also discusses the impact of the gender pay gap on women's financial well-being. It highlights the need for targeted financial education and support for women in the workplace. The insights from this research can inform policies and programs aimed at promoting financial empowerment and equality for working women.
EMPOWERING UNIVERSITY STUDENTS: UNLEASHING EFFECTIVE STRATEGIES TO COMBAT ANXIETY THROUGH COGNITIVE EMOTION REGULATION PROGRAM
Authors: Gökmen Özdemir Gülçin , Eryılmaz Ali
Published: June 2024

This study aims to explore the efficacy of a cognitive emotion regulation program tailored for university students grappling with anxiety. The program, designed to equip participants with effective cognitive emotion regulation strategies, employed a pre-test, post-test experimental framework encompassing both experimental and control groups. Evaluation of the program's effectiveness drew upon the Beck Depression Inventory, Beck Anxiety Inventory, and Cognitive Emotion Regulation Scale. The research engaged a total of 20 undergraduate university students—10 in each experimental and control group. Across 14 sessions lasting 90 minutes each, the program unfolded. Data analysis involved the Mann-Whitney U Test and Wilcoxon Signed Ranks Test. The outcomes unveiled a notable discrepancy in depression reduction between the experimental and control groups, favoring the former. Moreover, the program exhibited a dual benefit by enhancing cognitive emotion regulation strategies while concurrently diminishing anxiety levels among the experimental group. These findings robustly underscore the program's efficacy. The program's noteworthy contributions prompt its potential application within university psychological counseling centers and group therapy sessions for university students.
Stock Control Management Practices and Performance of the Kenya Electricity Generating Company in Eastern Region, Kenya
Authors: Njeru Ngari , Osoro Anthony
Published: June 2024

Purpose: The purpose of this study was to establish the relationship between Stock Control Management Practices and Performance of the Kenya Electricity Generating Company in Eastern Region, Kenya. The specific objectives of this study were; Inventory Optimization, Economic Order Quantity, Safety Stock Levels and Tracking Stock respectively.
Methodology: The study employed a descriptive research design. The study preferred this method because it allows an in-depth study of the subject. The target population of this study was 274 respondents from Kenya Electricity Generating Company in Eastern Region, Kenya.  Data was collected using self-administered questionnaires. Pilot study was carried out to establish the validity and reliability of the research instruments. The instruments were designed appropriately according to the study objectives. The data collected was analyzed by use of descriptive and inferential statistics. The study used multiple regression and correlation analysis to show the relationship between the dependent variable and the independent variables. The data generated was keyed in and analyzed by use of Statistical Package of Social Sciences (SPSS) version 28 to generate information which was presented using tables, frequencies and percentages. Reliability of the research instruments was done to validate the pilot test for confirmation of the presence of clear questionnaire in relation to reliability and validity of the designed instruments. Data was presented in form of tables.
Findings: The study confirmed a strong relationship between Stock Control Management Practices and Performance of the Kenya Electricity Generating Company in Eastern Region, Kenya; hence the need to implement the study findings.
Unique Contribution to Theory, Practice and Policy: The study was anchored on inventory theory. The study recommends implementation of Inventory Optimization, Economic Order Quantity, and Safety Stock Levels and Tracking Stock management practices to improve performance of Kenya Electricity Generating Company in Eastern Region, Kenya. That in future, different counties, sectors and organizations need to strengthen their performance and procurement processes with the help of Inventory optimization, EOQ, Safety Stock Levels and Tracking Stock management practices.
Effect of Dietary Fenugreek Powder on Growth Performance, Carcass Characteristics and Serum Biochemistry of Broiler Chicken at Starter and Finisher Phase
Authors: Olayeni Tunji B. , Okanlawon Eden O. , Akilapa Tope P.
Published: June 2024

A total of (240) unsexed day-old broiler chick (Abor-acre) was used to evaluate the effect of fenugreek seed powder on growth performance, carcass characteristics, and serum biochemistry of broiler chicken. The birds were randomly allotted to four treatment in which each treatment consist of 60 birds and 15 birds per replicate. T1-0g/kg, T2-1g/kg inclusion, T3-2g/kg inclusion rate and T4-3g/kg inclusion of fenugreek powder. Data were collected on growth performance, carcass characteristics, organ and serum biochemistry and were analysed using ANOVA. The results revealed significant difference on (P<0.05) weight gain per/bird, eviscerated weight, high and low density lipoprotein. Highest (P<0.05) weight gain per/bird (33.68g),(30.75g) were recorded with broiler fed diet containing the 1g/kg of the fenugreek seed powder while broiler chicken fed diet with the inclusion rate at 3g/kg had least (12.65g) and(22.08g) at starter and finisher phase respectively. Highest (P<0.05) eviscerated weight (1141.50g) was recorded with broiler fed diet with 2g/kg inclusion of fenugreek seed powder while broiler fed diet with the inclusion rate at 3g/kg had the least (798.50g) at finisher phase. Highest (P<0.05) neck weight value(7.2%g) was recorded with broiler fed diet with 3g/kg inclusion of fenugreek seed powder at finisher face while broiler fed diet without the inclusion of test ingredient had the lowest value (5.42%). Highest (P<0.05) HDL value (84.79g/dl) was recorded with broiler fed diet containing 2g of fenugreek seed powder while broiler fed diet without inclusion had the lowest value (61.08g/dl) at finisher phase. Lowest (P<0.05) LDL value (13.62g/dl), (26.59g/dl) were recording with broiler fed diet containing 2g of fenugreek seed powder for both starter and finisher phase while broiler fed diet without inclusion had the highest value (18.93g/dl)and (33.78 g/dl) respectively. The study concluded that inclusion of fenugreek seed powder at 2g/kg in the diets had positive effect on growth performance, carcass yield and serum biochemistry of broiler chicken.
INVESTIGATING SOYBEAN GROWTH, YIELD AND OIL TRAITS PERFORMANCE WITH POTASSIUM AND SULPHUR AMENDMENTS
Authors: Tanvir Md. Rashedur Rahman , Momen Md. Billal Hossain , Rukon Ashik Hasnat , Islam Md. Robiul , Khan Md.Tariful Alam
Published: June 2024

The study was conducted at the Agronomy Field Laboratory of the Department of Agronomy and Agricultural Extension at the University of Rajshahi, from December 2019 to March 2020. The primary objective was to evaluate the effects of potassium and sulphur on the growth, yield, and oil content of the BINA Soybean-1 variety. The experimental design used was a Randomized Complete Block Design (RCBD) with three replications to ensure the reliability and accuracy of the results. Various rates of potassium (K) and sulphur (S) were tested: K1 (20 kg ha-1), K2 (40 kg ha-1), K3 (60 kg ha-1), S1 (20 kg ha-1), S2 (30 kg ha-1), and S3 (40 kg ha-1). Throughout the study period, all necessary intercultural operations were performed to maintain optimal growth conditions for the soybean plants. Upon reaching full maturity, the soybean crops were harvested, and the results indicated that the highest rate of potassium application (60 kg ha-1) significantly improved several growth parameters. These included plant height, number of branches, leaf area, pod formation, seed yield, and oil content. Similarly, the application of sulphur at the highest rate (40 kg ha-1) also showed substantial improvements across these parameters. The most notable finding was the synergistic effect observed with the combined application of potassium at 60 kg ha-1 and sulphur at 40 kg ha-1. This combination produced the most favorable outcomes in terms of growth and yield. Specifically, the maximum oil content recorded was 26.72%, and the protein content of 49.49% was highest with the application of these higher nutrient levels.
ENGLISH LANGUAGE NEEDS OF NON-LANGUAGE EDUCATION STUDENTS
Authors: WANDAS ALMA MAY P.
Published: June 2024

This study aimed to assess the English language needs of third-year non-language education students at ISPSC-Main Campus during the Academic Year 2023-2024. Specifically, the focus was on identifying English language needs of the non-language education students. The research design used is Exploratory Sequential approach, involving 15 participants for the qualitative phase and a total enumeration of 69 third-year non-language majors for the quantitative phase. To gauge the English language needs of the non-langauge education students, the researcher observed demonstration teaching and utilized interview questions to validate the observed needs. The non-language education students faced a moderately serious level of English language needs. In response to these identified needs, a training design was developed to address the needs of the non-language education students. The developed training design is very highly acceptable. Based from the findings, the following conclusions are drawn: Effective future teachers need to be proficient with the use of the English language to make teaching and learning interactive and enjoyable. The need to enhance the students’ language needs will ensure students’ active participation in the classroom and better performance. The developed training design is effective to be used in enhancing the language needs of the non-language education students. It is then recommended that: Non-language education students should be equiped with the needed language skills, awareness on the construction of behavioral objectives and techniques in designing effective assessment. Teachers should employ strategies that can effectively address the English language needs of non-language education students, enabling them to succeed academically and professionally. Continuously assess and refine the developed training design to meet the evolving needs of non-language education students and a research should be conducted related to the present study delving into other variables in improving skills and preparation of future teachers.
SYNTHESIS AND ANTIMICROBIAL EVALUATION OF SOME NOVEL QUINOLINE DERIVATIVES
Authors: Solanki Shiwangini , Archana Tiwari , P.K. Dubey
Published: June 2024

This study presents the synthesis and antimicrobial evaluation of a series of novel quinoline derivatives. The structures of the synthesized derivatives were confirmed through spectroscopic techniques, including IR spectrometry. The antimicrobial activities of these quinoline derivatives were assessed against a panel of Gram-positive and Gram-negative bacterial strains disc diffusion method. Several compounds exhibited significant antimicrobial activity, with minimum inhibitory concentrations (MICs) comparable to standard antibiotics. The structure-activity relationship (SAR) analysis revealed that substitutions at specific positions on the quinoline ring significantly influenced the antimicrobial efficacy. These findings suggest that the synthesized quinoline derivatives hold potential as promising candidates for the development of new antimicrobial agents.
National Interest in Foreign Policy Making in the Fourth Republic: Nigeria as a Focal Point
Authors: Magnus Obasogie Henry , Vivian Nwosu Ugonne
Published: June 2024

The paper examines national interest in foreign policy making in the fourth republic: Nigeria as a focal point. The essence of interactions among government functionaries and policy makers in Nigeria as well as other advanced nations of the world is largely to promote their respective national interest through a well-defined foreign policy objectives. However, the definition of national interest differs from one nation to another, political leaders invoke the word to justify their actions as a means of promoting their national interest, but in most cases, this is not true, they tend to promote personal interest rather than national interest. Moreover, there is no explicit definition of the concept of national interest by world leaders and policy makers, but the importance of national interest cannot be underestimated especially when considering foreign policy making in Nigeria. This paper therefore examines national interest in foreign policy decision making in Nigeria, with a focus on the fourth republic. The research design adopted is chronological and explorative. The secondary source of data collection were employed in the study. Findings from the study revealed that although the concept of national interest is equivocal, scholars of international relations agreed to a large extent that national interest refers to the interests that are paramount to states and are encapsulated in economic, political, and socio-cultural as well as security of lives and properties of the citizens. The study therefore recommended that the government of Nigeria should promote her national interest especially in the area of foreign policy.
Diffusion of Innovation in Ghana: The Adoption of M health among Pregnant Women in Ayensu Ade Rural Community in The Gomoa West District
Authors: Salam Mohammed Gali
Published: June 2024

This current study, using qualitative approach hinged on case study design, and Rogers’ Diffusion of Innovation Theory, seeks to investigate how persuasion variables influence the adoption of mobile health (mHealth) among pregnant women and perception of community health nurses on mobile health intervention (mHealth) in the Ayensu Ade rural community of Gomoa west district in the central region of Ghana. The study is underpinned by two research questions. Thus, (a) what are the persuasion variables that influences the adoption of m Health among pregnant women in Ayensu Ade community? (b) What are the perceptions of community health nurses in the Ayensu Ade community regarding the use of m Health (MOTECH) in their community? Using interviews and focus group discussion as data collection instruments, the study revealed that persuasion variables such as relative advantage of an innovation, trial ability and compatibility influences how pregnant women in the Ayensu Ade community adopted the implemented m Health intervention project. Also, the study revealed that, the ease of work was a perception held by the community health nurses in the community regarding how they perceived the implemented mHealth intervention project. The study concludes that, the efficient use of m Health interventions as a health innovation in the rural community of Ayensu Ade has helped in expanding treatment outreach of pregnant women, assisting them to comply with medical schedules, and promoting behaviors that limits the spread of diseases.
Influence of Strategic Leadership on Organizational Performance in Charitable NGOs in Nairobi County
Authors: Abdi Mohammed Bashir , Nzili James , Kiama Michael
Published: June 2024

This paper sought to examine the influence of strategic leadership on the organizational performance of charitable NGOs in Nairobi County. The study applied a descriptive research design. The population for the study was 1427 employees of charitable NGOs in Nairobi County. Stratified random sampling was applied in addition to the Taro Yamane formula to come up with a sample size of 313 respondents. The study gathered data through questionnaires which were administered both physically and online. Data collected was analyzed through both descriptive and inferential analysis. Results revealed a β of 0.269 and a p-value of 0.001, between strategic leadership and the organizational performance of charitable NGOs in Nairobi County. The study concluded that strategic leadership had a positive and significant influence on the organizational performance of charitable NGOs in Nairobi County. The study recommended developing clear mission and vision statements to guide organizations’ activities effectively. Additionally, the study recommended that charitable NGOs should promote ethical conduct at all levels, with strategic leaders serving as exemplars of integrity and accountability. Lastly, the study also recommended that charitable NGOs should invest in decision-making skills and regularly monitor performance to further enhance organizational effectiveness.
Determination of the Rate of Expansion of Magarya River Channel Upstream of Doma Bridge in Gombe Metropolis, Gombe State, Nigeria
Authors: Wanah Bala Bello , Usman Umar Magaji , Ahmad Musa Auwal
Published: June 2024

The research focused on determining the rate of expansion of the River Magarya Channel upstream of Doma Bridge, Gombe Metropolis. To achieve this, data were gathered from satellite images. The collected data were analyzed using ArcGIS (GIS) software and simple descriptive statistics. The results obtained showed that the Magarya Basin covers an area of 85.74 km². In 1992, gullies covered 2.22 km², which is 3% of the total area. The results also show that the extent of gully erosion in 2022 covered a land area of 5.25 km², making it 6.5% of the total land area of the Magarya Basin. It was concluded that between the years 1992 and 2022, about 3.03 km² of land has converted to gullies due to erosion, with an average rate of 1.1 km² every 10 years. It is recommended that there should be routine inspections of all areas in the community to identify possible future occurrences of gullies and decide on possible ways of controlling the effects of gully erosion on the basin. Additionally, farmers should adopt modern mechanized agricultural practices and ways of mitigating the effects of gully erosion on the basin. The study did not involve a detailed analysis of the economic impacts of gullies but focused on the physical and environmental impacts. The study recommends that further research be conducted on the economic impacts of gullies.
Instructional Leadership in School-Based Management of DepEd Schools in Samar Island: Systematic Approach Review
Authors: Anabo Roy O.
Published: June 2024

The purpose of this research paper is to provide a review of the systematic approach design on instructional leadership in school-based management of DepEd schools in Samar Island. The research methodology paper draws from the database of reviews previously conducted over the past seven years of instructional leadership in the context of different practices, and styles in school-based management. This study used a systematic approach review performed using four phases in Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) that emphasizes a specific topic and selects relevant literature using content analysis based on the abstract of selected articles in instructional leadership. The study revealed that instructional leadership should provide technical assistance to teachers, innovating teaching and learning that ensure quality instruction in learning, growth of learners, and professional development of teachers. Leadership fosters decision-making by strategically balancing, competing priorities, having visionary goals, empathy with constituents, and resistance to change in all educational endeavors. In addition, different abstract literature reviews develop the existence of several challenges and limitations of instructional leadership in school-based management. The gaps and challenges have been recognized in the reviews. It shows high-quality research reviews conducted in instructional leadership simplify to administrators, teachers, students, and the community that contribute quality of education in school-based management. The implications of this study are highlighting systematic methods reviews to provide decision-making, and guidance to enhance knowledge in more systematic ways of instructional leadership in school-based management. The originality and value of this research paper lies in its adaptation and application for the recent reviews on social sciences to the field of instructional leadership in school-based management such as instructional leadership: practices, school performance, internal and external stakeholders, and community-based resources.
Multinational Companies’ Approaches to Transfer of Skill Formation in Technical Vocational Education and Training; A Systematic Literature Review
Authors: Muoghalu Nzube Cyril , Ahmad Adnan bin
Published: June 2024

In the complex global economic environment, multinational companies (MNCs) hold tremendous power, not only in driving economic growth but also in changing host nations’ skill formation systems and TVET landscapes. However, there is a gap in understanding the complex approaches MNCs use to practice the transfer of skill formation to these locations. This study investigates the strategies used by MNCs to transfer skills in TVET in their host countries, focusing on the impact of skill formation transfer on TVET program efficiency. Also identify the factors influencing the practice in their host countries. Three research questions guided the review. The study used a systematic literature review strategy following PRISMA guidelines. This study reveals a range of approaches used by MNCs, ranging from strategic collaborations, school-based collaboration, localization and integration of training programs, in-company training, apprenticeship empowerment, and transnational transfer of skill formation. The study also highlights the impact of local knowledge and skill formation, strategic industry-relevant skills workforce development, internal training provision, promoting apprenticeships, and encouraging multinational corporations to train in host countries. Factors influencing MNCs’ transfer of skill formation include inconsistencies between their skills development practices and national goals, subsidiary discretion in training policies, uneven institutional resources, stakeholder collaboration, political conditions, legislative frameworks, etc. This review enhances academic knowledge and provides practical insights for policymakers, educators, and business leaders, enabling them to develop updated approaches to skill development and workforce improvement worldwide.
Influence of Resource Allocation on the Performance of the Kenya Revenue Authority
Authors: Ng’ang’a Irene Nyakio , Kituku Gladys , Miluwi Joshua
Published: June 2024

Good performance of revenue authority through a steady flow of incomes is an indicator of the financial health of a country in its role of providing: public services, infrastructure, and social programs support. Prioritizing an efficient tax system reduces dependence on foreign aid and also fosters domestic revenue generation. However, developing countries have not been able to finance their budgets internally ending up relying on loans from the International Monetary Fund (IMF) and World Bank. These loans become hard to manage with high dependencies on lending institutions becoming debt trap cycles hindering their economic sustainability. Kenya, according to the World Bank (2022), through a debt sustainability report revealed that the present value of total debt to gross domestic product was at 70.5% in 2020, 76.3% in 2022, and is projected to be at 79.2% in October 2023.Huge debt by the Kenyan government running in Trillions of Kenya shillings is attributed to high borrowing from deficiencies in collections by the Kenya Revenue Authority. These unfolding statistics require appropriate strategic initiatives in resource allocation to correct the situation on the performance of the Kenya Revenue Authority. This paper sought to examine the influence of resource allocation on the performance of the Kenya Revenue Authority. The study applied a descriptive research design. The target population for the study was the Kenya Revenue Authority. The unit of analysis included 196 middle-level managers of KRA from the Finance department (87), Human resource department (43), Marketing and communication departments (39), and Corporate service and administration departments (27). The stratified random sampling method and the Slovin formula were applied to obtain a representative sample size of 132 respondents. The study gathered data through online surveys and questionnaires which were physically administered. Data collected was analyzed through both descriptive and inferential analyses. Results revealed a β of 0.691 and a p-value of 0.001, between resource allocation and the performance of KRA. The study concluded that resource allocation had a positive and significant influence on the performance of the Kenya Revenue Authority. The study recommended optimizing resource allocation to align with strategic goals to enhance operational efficiency. Furthermore, the study recommended fostering inclusivity and staff participation to boost organizational resilience and innovation. Moreover, the study recommended prioritizing investment in ICT infrastructure to ensure competitiveness and productivity. Lastly, the study recommended that maintaining adequate staffing levels and empowering employees through training would foster a motivated workforce to enhance KRA’s adaptability, performance, and long-term sustainability.
Issues and Challenges of Primary Education Toward Implementing Technical and Vocational Education Training to Meet the Fourth Industrial Revolution Demand: A Systematic Literature Review
Authors: Mohd Ali Latifah , Kamarudin Mohd Fauzi , Maidin Shajahan , Ismail Shafinaz
Published: June 2024

The present wave of the fourth industrial revolution (4IR) technology and trends is drastically affecting nearly every economic sector and preparing for profound changes in people’s lives. The benefits of the technology include higher safety, better decision-making, increased productivity, efficiency, and quality in processes, as well as increased competitiveness. Thus, every effort towards raising awareness of the 4IR should begin early in primary education. This study critically evaluated the literature on the issues and challenges of implementing Technical Vocational Education and Training (TVET) preliminary courses in primary education in Malaysia towards raising awareness of the future 4IR. Using two databases, namely Scopus and Web of Science, the review was conducted in accordance with the ROSES (Reporting Standards for Systematic Evidence Syntheses) publishing standard. The findings showed that the role of primary education in facilitating skills development for socio-economic and technological development for the students was significant. Based on the thematic analysis, two primary themes emerged: a lack of 21st-century skills and support, supplemented by six sub-themes. In addition, the issues and challenges of other countries’ primary education in meeting the 4IR demand are also discussed. The paper offered solutions for the issues that arose to fulfil the objective of TVET preparatory courses: to increase pupil awareness of the present 4IR in elementary education in Malaysia.
Effect of Working Capital Management Practices on Financial Performance of Hotels in Kenya: A Case of Selected Three Star Hotels in Garissa Town
Authors: Rashid Aden Abdi , Butali Peter , Odunga Robert
Published: June 2024

Purpose: The main objective of this study was the effect of working capital management practices on the financial performance 3 star hotels in Garissa County. The study objectives was; to examine the influence of cash management practices, the effect of payables management practices, and effect of receivables management practices on financial performance 3 star hotels in Garissa town. Methodology: Three theories underpinned the study that is Theory of Working Capital Management, Cash Conversion Cycle Theory and Transaction Cost Theory. The research design used in the study was descriptive. The 171 employees of the chosen three-star hotels in Garissa Town were the target population where the sample of 120 participants was determined using Taro Yamane's formula (1967). Primary data were used in the study and was collected through a questionnaire through a drop-and-pick method. The Statistical Package for Social Sciences was used to analyze the data. Findings were presented using bar charts, graphs, and diagrams. Findings: The descriptive results revealed that all respondents were in agreement with statements on working capital management practices and its effect on financial performance. Additionally, the model summary results established that working capital management practices (cash management practices, payable management practices, and receivable management practices) accounts for 73.3% of variations in the financial performance of 3 star rated hotels in the county. The study further established that cash management practices, payable management practices, and receivable management practices bears a positive and significant effect on financial performance of hotels operating in Garissa Town as depicted by beta values of 0.593, 0.276 and 0.471 and significant values of 0.000, 0.004 and 0.000 respectively. The results imply that the financial performance of hotels operating in Garissa Town changes with respective beta values when each of the independent variable is increased with one unit. Unique Contribution to Theory, Practice and Policy: The study provided recommendations to the management of the hotels operating in Garissa Town to enhance working capital management practices such as cash management practices, payable management practices, and receivable management practices since the practices positively and significantly affects the levels of financial performance of the hotels.
Empirical algorithm to detect skin disease using deep convolution neural networks through mobilenet algorithm
Authors: Yadav Ganesh Kumar , Tiwari Avdhesh Kumar , Singh Vineet Kumar , Jumar Ashish , Varshney Dharmendra , Senger Amit Kumar Singh
Published: June 2024

Skin conditions are common and have grew in recent years, according to the abstract. Skin conditions must be promptly and accurately diagnosed in order to improve patient outcomes and provide appropriate care. The subjective and time-consuming manual diagnosis procedures dermatologists use necessitate the use of automated techniques to improve accuracy and efficiency. This work aims to make use of the 1,000-item. We applied Deep Convolution Neural Networks that have been successful with the ImageNet dataset at classifying seven different types of skin lesions.With the MobileNet Model we produced results that are 95% accurate. By this model we are able to achieve more accuracy than previous one. This model makes use of Keras and TensorFlow, both of which are implemented in Python 3.8.0. This model precisely finds seven sorts of skin diseases with an exactness of 95%. The results of the experiments confirm the intuition that pre-trained models advance highlights, and the geographic properties of DCNNs aid in learning highlights for a dataset of skin lesions dermatoscopic images, which originates from something altogether different.
Multimodal NLP for image captioning : Fusing text and image modalities for accurate and informative descriptions
Authors: Tiwari Manisha , Khare Pragati , Saha Ishani , Mali Mahesh
Published: June 2024

Multimodal Natural Language Processing (NLP) offers significant potential for improving the understanding and generation of content that combines various modalities, including text and images. Image captioning, automatically generating textual descriptions of images, represents a crucial application of multimodal NLP. While existing methods primarily rely on image features, we propose a novel multimodal NLP model that leverages the power of both text and image modalities for generating informative and accurate image captions. Our model incorporates information from text descriptions associated with images, enabling it to capture contextual cues and generate richer captions than traditional unimodal models. We validate our method using the industry standard Flickr8K dataset and obtain cutting-edge outcomes, proving the potency of our multimodal fusion technique. Furthermore, we discuss the challenges and opportunities of multimodal NLP for image captioning and highlight its potential to revolutionise how we interact with computers and interpret visual information.
A hybrid deep learning model for accurate time series forecasting of cryptocurrencies
Authors: Nagdiya Aditya , Kapoor Vivek , Tokekar Vrinda
Published: June 2024

A growing number of people and organizations are choosing to invest in cryptocurrencies. The development of precise forecasting models for cryptocurrencies is crucial due to their very volatile market. Financial forecasting has long made use of time series analysis and prediction, but conventional time series analysis techniques have trouble capturing intricate patterns and nonlinear relationships. On the other hand, although deep learning models show promise in time series analysis, their effectiveness depends on large amounts of data, which might result in overfitting. In order to predict bitcoin prices, this research presents a hybrid model that combines long short-term memory and convolutional neural networks. The CNN is used to extract features from the time series data, while the LSTM is used to capture persistent.
Inventory model with sensitivity analysis under uncertain environment
Authors: Dubey Ankit , Kumar Ranjan
Published: June 2024

This paper considers an inventory model under a Neutrosophic environment. There are many inventory models available, such as the EOQ (Economic Order Quantity) models with and without shortage, price breaks, and more. In this paper, we have considered a model without considering the shortage. Our main objective is to find the optimal total cost under uncertainty. To achieve this objective, we use Trapezoidal Neutrosophic environments. Our proposed method aims to solve numerical challenges and new problem types. Finally, the comparative and sensitive analysis is also included in this manuscript. For that purpose, we consider some examples of uncertainty.
Solving neutrosophic minimal cost flow problem using multi-objective linear programming problem
Authors: Tripathi Shubham Kumar , Kumar Ranjan
Published: June 2024

The Linear Programming (LP) model, renowned for its robust modeling capabilities, is a highly effective tool for solving real-world problems and optimizing tasks with specific objective. A key component of the LP model is the Minimum Cost Flow (MCF), which aims to minimize the transportation cost of a single product through a capacitated network. This article focuses on the MCF problem with neutrosophic arc cost, a scenario that often arises in real-world situations due to the complexity and uncertainty of data. The neutrosophic theory plays a crucial role in handling this vagueness. The primary objective of this paper is to find the optimal solution to the neutrosophic MCF problem using SVTN numbers.
Malware strategies and issues in examination
Authors: Ramakrishna Mathe , Satish Aravapalli Rama , Ashok Gudela
Published: June 2024

The field of information technology is experiencing rapid advancements, presenting significant challenges in security and privacy for cybersecurity professionals. Research indicates a concerning increase in the development of new malware strains. A perpetual cycle exists between the evolution of malicious software and the efforts to safeguard against them. Antivirus companies continually update their malware signatures, while attackers persistently seek ways to evade detection. Machine learning offers promising capabilities for detecting malware, with feature extraction as the initial step and classification as the subsequent phase. The effectiveness of classification algorithms is influenced by the quality of the extracted features. This articles aim is to assist aspiring researchers in selecting suitable algorithms for their investigations.