bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Model Discovery Learning Dengan Pendekatan STEM Terhadap Hasil Belajar Peserta Didik Kelas VIII SMP Negeri 3 Lubuk Basung
Authors: Stefvannof Diego , Oktavia Rani , Lestari Tuti , Prima Sari Monica , Wati Fatma
Published: September 2024

Student learning outcomes are often unsatisfactory due to learning methods that still dominantly use lectures and do not actively involve students. This method tends for making learner passive at studying. For improving this situation and make learning more effective, it so urgent for overhaul the teaching oncoming. One way is for integrate learning models that involve STEM components. The focus through the following discussion the aim is to find out “the effect of the Discovery Learning learning model with a STEM approach on the learning outcomes of grade VIII students at SMPN 3 Lubuk Basung”.This research used a quasi-experimental design by Non-Equivalent Control Group Design. This research population consisted of VIII grade students at SMPN 3 Lubuk Basung for the 2024/2025 academic year. The sample method used was purposive sampling, where one VIII grade was selected being experimental group also the other VIII class being control group. The instruments using this study included multiple choice experiment of 20 questions also a student response questionnaire. Data analysing has been implemented with “normality test, homogeneity test, and non-parametric test, namely Mann-Whitney test”. The survey of learner proves that most of them give positive responses to application of the Discovery Learning model by STEM approach through a ratio 45% of learner agreeing (S) and 52% strongly agreeing (SS). The hypothesis experimental results show significant figures with large 0.000 <0.05, meaning that the application of this model significantly improved student learning outcomes compared to the Discovery Learning model that did not integrate STEM. The N-Gain testing at experimental group reached 0.8594 which is included at high classification. The teaching use with the STEM-based Discovery Learning model was recorded at 97%. This finding shows thats the using Discovery Learning combined by STEM approach found positively and significant effect at learner understanding of introduction to cell material.
Literature Review: Faktor Pengaruh Wirausaha dalam Perspektif Psikologi
Authors: Alim Janet Kurniawan , Made Swasti Wulanyani Ni
Published: September 2024

ASEAN Economic Community or ussualy called AEC are economic integration agenda by country in the ASEAN. AEC contribute huge impact on economic sector in Indonesia, but also gave both hope and challenge to people in Indonesia. AEC cause Indonesian workers need to compete harder with foreign workers, because that make the jobs offer more and more limited than before. Entrepreneurship is an activity that can create new jobs so that entrepreneurship is one answer to the problem of increasingly limited job opportunities. This article reviews previous research and articles with similar themes with the aim of providing an overview of the influencing factors of entrepreneurship from a psychological perspective. Based on several literature studies, it is concluded that there are various internal and external factors that influence entrepreneurship. Further research and studies are needed in the fields of psychology and entrepreneurship.
Pengaruh Penggunaan Tepung Daun dan Batang Ubi Jalar (Ipomoea Batatas L) Dalam Ransum Terhadap Performans dan IOFC Ternak Babi Peranakan Landrace Fase Grower
Authors: Deor Liberatus Frangkolino , Dodu Tagu , Marlene Nalley W.
Published: September 2024

Pig farming has great potential to be developed because it is efficient in converting feed into meat. Feed is the largest cost component in production, which is about 60-80% of the total cost. Landrace pigs are the main choice of breeders because of their fast growth and docile temperament. However, the high price of factory-made feed encourages farmers to look for alternative feed ingredients, including agricultural waste such as sweet potato leaves (Ipomea batatas L), which are rich in nutrients and relatively cheap (Sihombing, 2016). Sweet potato leaves contain 25.51% crude protein and various other important nutrients, but they also contain anti-nutrient substances such as tannins. The aim of this research was to determine the effect of giving of leaf and stems sweet potato meal (SPM) on performa and income over feed costs (IOFC) in the grower pig. A total of 12 female landrace pigs aged 3-4 months with an average body weight of 55.5 kg (CV = 24.23%) were used in this study. The experimental method used a randomized block design, with 4 treatments and 3 replications. The treatments tried consisted of R0: ration without sweet potato leaf and stems meal sweet potato (SPM), R1: ration 5% (SPM), R2: ration 10% (SPM) meal, R3: ration 15% (SPM). The variables studied were performa and Income Over Feed Cost (IOFC).The variables measured are ration consumption, body weight gain, ration conversion and Income Over Feed Cost (IOFC). The results of the analysis of variance (ANOVA) showed that the treatment had no significant effect (P>0.05) on feed consumption, body weight gain, feed conversion and Income Over Feed Cost of research pigs. It can be concluded that the use of leaf and stems meal sweet potato 5%, 15% in pig rations provide the same response to provide the same effect on body weight gain, ration conversion and Income Over Feed Cost (IOFC). leaves and stems sweet potato can be used up to 15%.
The Influence of Instagram Social Media Promotion on Domestic Tourists' Decision to Visit Pandawa Beach Tourist Attraction
Authors: Wati Ni Kadek Erma Anggara , Wayan Mertha I , Kristiono Liestiandre Hanugerah
Published: September 2024

At Present, Instagram significantly influences someone's interest in traveling to a place or tourist attraction. For example, many things can influence someone or tourists to visit, such as interesting content created by the managers of a tourist attraction. Currently, many tourist attraction accounts promote their tourism products through content on Instagram, such as videos or photos showcasing their products. There are also many Bali Tourism Instagram accounts that are popular among Indonesian tourists, especially millennials, making it easier for tourists to visit One of the attractions in Bali, the aim of this study is to identify the Influence of Social Media Promotion on Instagram Towards the Decision of Domestic Tourists to Visit Pandawa Beach Tourist Attraction.
Aktivitas Antioksidan Ekstrak Etanol 50% dan 70% Daun Kenikir (Cosmos Caudatus Kunth) Dengan Metode DPPH (2,2 Diphenyl-1 Picrylhydrazyl)
Authors: Astuti Syafira Wiji , Sasmito Ediati
Published: September 2024

Antioxidants are molecules that work by warding off free radicals thereby reducing the damaging effects of free radicals. Coronary heart disease is a disease caused by free radicals. Kenikir leaves contain quite high flavonoid metabolite compounds, namely 12.197 mg QE/g. Flavonoids are among the largest natural phenolic compounds in plants that have bioactivity as medicines. The benefits of flavonoids are as anticancer, antifungal, anti-inflammatory, antimicrobial and antioxidant. The aim of this research was to determine the antioxidant activity of 50% and 70% ethanol extract of kenikir leaves (Cosmos caudatus Kunth.) using the DPPH method. This type of research is analytic cross sectional. The results of this study indicate that there is antioxidant activity of 50% and 70% ethanol extract of kenikir leaves (Cosmos caudatus Kunth.) using the DPPH method. The lowest IC50 value was 70% ethanol extract of kenikir leaves, namely 45.573 ± 0.241 ppm. The highest potential antioxidant activity is 70% ethanol extract of kenikir leaves with an IC50 value of 45.573 ± 0.241 ppm. The highest total flavonoid content was 70% ethanol extract of kenikir leaves, namely 17.209 ± 0.297%. The conclusion of this research is that 70% ethanol extract of kenikir leaves (Cosmos caudatus Kunth.) has the highest antioxidant activity with an IC50 value of 45.573 ± 0.241 ppm.
Pengalaman Remaja Bali Yang Melakukan Perilaku Self-Injury
Authors: Pratama Putu Yudi Suwetha , Nugrahaeni Widiasavitri Putu
Published: September 2024

Adolescents face several changes that cause conflict and emotional stress during adolescence. The conflicts and emotional pressure faced by teenagers cause teenagers to experience distress so that teenagers will have difficulty controlling themselves and carry out actions that are detrimental to themselves. In dealing with stressful conditions, teenagers need to develop behavior by implementing coping strategies. However, not all teenagers are able to develop and choose appropriate coping strategies in dealing with stressful conditions, one of which is engaging in self-injury behavior. Self-injury behavior is the behavior of individuals who deliberately hurt or injure themselves with the aim of reducing the emotional problems they are facing. Self-injury behavior has the impact of feeling satisfied because it feels capable of venting negative emotions, however, another impact of self-injury behavior is addiction, which can lead to attempts to commit suicide. It is important for research to be able to describe how teenagers experience self-injury behavior. This research is a qualitative phenomenological research with semi-structured interviews with three teenagers as resource persons. The data obtained was then analyzed using interpretive phenomenology based on Kahija (2017). The results in this study include 1) motives for self-injury behavior, 2) dynamics of self-injury behavior and, 3) experience of carrying out self-injury behavior.
Perencanaan Pembangkit Listrik Tenaga Surya (PLTS) Sistem Hybrid Pada Jaringan Kelistrikan Di Rumah Sakit Umum Yarsi Pontianak
Authors: Sanjaya Rhendy Eka , Gianto Rudi , Junaidi Junaidi
Published: September 2024

Electrical energy is very important in everyday life to support the activities of various sectors. Fossil fuels as an energy source are a top priority, therefore renewable energy is an alternative to replace the limitations of fossil fuels which is the main priority in efforts to generate electrical energy in Indonesia. The high intensity of sunlight in Indonesia, especially in Pontianak City, is very suitable for building a Solar Power Plant (PLTS). The aim of this research is to find out how much potential PLTS has using applications PVsyst 7.3by utilizing the roof of the hospital building. This research uses three methods for economic analysis and analyzing the feasibility of PLTS. The method used isNet Present Value (NPV), Profitability Index (PI), and Discounted Payback Period (DPP). The results of research carried out using Software PVsyst 7.3 It was found that the PLTS system was installed on the roof of YARSI Pontianak General Hospital with a slope angle of 4O namely 115 kWp with the type of solar panel used being the Jinko Solar Tiger Neo N-type 72HL4-BDV 580Wp 198 units, 3 inverters of the SUN2000-30/36/40KTL-M3 type with a capacity of 40 kW, and batteries with type Sunlight RES OPzS with a capacity of 3060 Ah. Based on the results of calculations that have been carried out, the initial investment required is IDR. 1,578,472,422. Analysis of the economic feasibility of PLTS using 3 methods has been carried out to obtain an NPV value of Rp. 797.610.941,86, PI value of 1.505, and DPP value of 14 years. The three methods used in this research show that PLTS is feasible.
Integrando Saberes: Uma Perspectiva Holística no Câncer de Mama - Edição I
Authors: Lucas de Moraes Ferreira João , Clara Paiva Santos Ana , Rezende Junqueira Fachardo Isabela , Eduarda Leite Maiolini Siqueira Maria , Vitória de Deus Fernandes Amanda , Luiza Souza Delfino Maria , José Dias da Silva Neto Dr , Fiorita Gonzales Lopes Mundim Dra
Published: September 2024

O câncer de mama é uma das doenças mais prevalentes e desafiadoras enfrentadas pela medicina moderna. Este livro se propõe a abordar não apenas os aspectos clínicos e biológicos desta patologia, mas também a importância crucial da integração de
Examining the Internal Controls and Financial Performance of Selected Savings and Credit Cooperative Societies in Moyo District, Uganda
Authors:   College of Economics and Management, Department of Finance and Accounting, Kampala International University Uganda, Anguyo Nasser Wawa
Published: September 2024

This research study examined the effect of internal controls on financial performance Savings and Credit Co-operative Societies (SACCOs) in Moyo district of Uganda. Utilizing both qualitative and quantitative methodologies, a descriptive cross-sectional research design was employed. The population consists of 56 participants. Data was collected with surveys and interviews. The study’s findings demonstrated that the control environment in the chosen SACCOs in Moyo district had a beneficial impact on financial performance. This is corroborated by the favourable internal control ratings and the highly satisfying view of the accounting and financial system of the chosen SACCOs. And well-constructed control environment has the potential to strengthen the entire governance and administration of SACCOs, resulting in enhanced financial performance. Based on these findings, the study calls for SACCOs to prioritize ethical values in their organizational culture. This includes promoting honesty, integrity, and accountability among staff and management. Ensure that the board of directors maintain their independence from management. This can be achieved by implementing governance structures that prevent conflicts of interest. Continuously adhere to audit standards and best practices to maintain high-quality financial reporting and internal controls. It is equally recommended that SACCOs should conduct periodic internal reviews of control activities to identify weaknesses and areas for improvement. It is recommended that management be tasked with the responsibility of promptly reviewing audit reports and resolving any non-compliance issues identified within them. Keywords: Stewardship, Internal controls, Savings, Cooperative societies, Financial performance.
Career Advancement towards Nascent Technologies: RNA in Focus
Authors:   Department of Research Publications and Extension, Kampala International University, P. O. Box 20000, Uganda., Alum Esther Ugo
Published: September 2024

Biotechnology is a fast-changing field, and Ribonucleic acid (RNA) technology has acted as a major driving force in this. RNA, which is vital to life, has led to revolutionary changes in therapeutics, especially RNA-based vaccines and RNA interference (RNAi) therapies. This mini-review discusses the current state of research in RNA, including mRNA therapeutics, RNAi, and CRISPR-Cas systems, which are innovative RNA research products. These advancements not only offer new treatments for diseases but also lead to various career prospects. The review also highlighted the essential skills and educational pathways for aspiring professionals in this area. As a result, this review serves as an extensive go-between in navigating through the vigorous world of RNA technologies by providing information about skill requirements and even career opportunities available. The review made use of the most recent research and advancements in RNA technology from credible online resources, scholarly journals, and conference proceedings. Keywords: Ribonucleic acid, mRNA therapeutics, RNA interference, CRISPR-Cas systems, Biotechnology, Bioinformatics
Assessment of Water Shortage in Pastoralist Communities in Guriel District, Somalia
Authors:   School of Natural and Applied Sciences, Kampala International University, Uganda, Yusuf Ali Abdukadir , Olusegun Obaroh Israel ,   School of Natural and Applied Sciences, Kampala International University, Uganda
Published: September 2024

The study sought to assess the impact of water shortage on pastoralist communities in the Guriel District of Somalia. The study used a cross-sectional survey methodology, gathering data using questionnaires from 318 participants and conducting interviews with 12 participants. The data obtained from the field were examined with a chi-square test. The results revealed that water shortage had a substantial influence on agricultural yield in Guriel District, Somalia (X2 = -4.605, p = 0.040). Furthermore, it had a very significant effect on crop production in general (X2 = -5.432, p = 0.000). This implies a significant association between the scarcity of water in the Guriel region and the productivity of crops. The study also examined the occurrence of water shortage in Guriel District, Somalia and its effects on domestic animal husbandry. This research used bivariate analysis. The statistical analysis reveals a strong correlation between the two variables, as shown by a chi-square value of -7.348 and a p-value of 0.000. The presence of water shortage in the Guriel area is closely linked to a decline in the use of domestic animal husbandry. In addition, a chi-square test was performed to analyse the influence of the incidence of water scarcity on income-generating activities in the Guriel area of Somalia. The study demonstrates that a continuous shortage of water significantly impedes agricultural output and production techniques. Sorghum, a prominent agricultural crop in the Guriel region, is continually exposed to potential hazards. Keywords: Water shortage, Pastoralist, Crop production, Drought, Revenue generation, Somalia
Ameliorative potentials of methanol leaf extract of Anthocleista vogelli on mercury chloride induced neurotoxicity
Authors:   Department of Biochemistry, Research and Extension, Kampala International University, Uganda, Ikechukwu Egba, Simeon ,   Department of Biochemistry, Michael Okpara University of Agriculture, Umudike Abia State, Nigeria., Onyinye Okonkwo, Chibuzor ,   Department of Biochemistry, Faculty of Basic Medical Sciences, University of Calabar, Cross Rivers State, Nigeria., Grace Kalu, Uguru ,   Department of Biochemistry, Michael Okpara University of Agriculture, Umudike Abia State, Nigeria., Promise Paul ,   Department of Biochemistry, Michael Okpara University of Agriculture, Umudike Abia State, Nigeria., Chibuike Sampson Nzubechi L ,   Department of Biochemistry, Research and Extension, Kampala International University, Uganda, Ifeoma Egbachukwu Blessing ,   Faculty Veterinary Medicine, University of Nigeria, Nsukka, Nigeria, Paul-Chima Ugwu Okechukwu ,   Department of Biochemistry, Research and Extension, Kampala International University, Uganda
Published: September 2024

In this work, the effects of A. vogelli leaf extract on a few neurotoxicity indicators in Wistar rats were examined. Group 1 consisted of a normal control group, Group 2 of mercury (II) chloride, Group 3 of mercury (II) chloride + Diazepam 5 mg/kg, and Group 4 of mercury (II) chloride + plant extract 400 mg/kg bw. The sixteen (16) male rats were divided into these four groups at random. Animals were slaughtered and medications and extracts were administered for 21 days. Cerebellum and cerebrum brain samples were obtained and examined. Using accepted procedures, assays for acetylcholinesterase, alpha-tocopherol, and adenine deaminase were conducted. The acetylcholinesterase activity, vitamin E concentration, and adenine deaminase activity in the untreated groups were significantly (p≤0.05) higher than in the control group. Additionally, it was noted that both the plant extract and the usual medication, diazepam, showed significantly higher levels of vitamin E and adenine deaminase activity (p≤0.05) accompanied with lower acetycholinesterase activity. This suggests that the plant extract may have the potential to be a neuroprotective agent and could be used to treat neurotoxicity and other related disorders. Keywords: Neurotoxicity, acetylcholinesterase, alpha-tocopherol, adenine deaminase, Anthocleista vogelli.
Examination of the effect of ANN and NLPCA technique on prediction performance in patients with breast tumors
Authors: Demir Canan
Published: September 2024

Breast cancer is among the most prevalent cancer kinds worldwide. The aim of this study is to examine the effect of combining Artificial Neural Networks and Nonlinear Principal Component Analysis techniques on prediction performance in patients with breast tumors. In the application, a network containing 5 layers, including the input, the coding, the bottleneck, the decoding and the output, was used for the 30 variable data set of 569 breast tumor patients. The training algorithm of choice was the Conjugate Gradient Descent (CGD) algorithm. In this study, artificial neural networks (ANN) and nonlinear principal component analysis were coupled. NLPCA was first applied to dimension reduction in artificial neural networks. Using both the original data set and the decreased size, artificial neural networks were used in the second stage to develop prediction models. By contrasting the performance of these two prediction models with one another, the outcomes were understood. 96.37% of the variation was explained by the two fundamental components that were found using NLPCA. The prediction models developed for the original data set and the dimension-reduced data set have R2 values of 91% and 87%, respectively. The advantages of the NLPCA and ANN combination for breast tumor patients are demonstrated by this study. It is believed that utilizing principal components as inputs can cut down on complexity and extraneous information.
Comparative analysis of machine learning techniques for detecting potability of water
Authors: Sinap Vahid
Published: September 2024

This research aims to evaluate the effectiveness of machine learning algorithms in determining the potability of water. In the study, a total of 3276 water samples were analyzed for 10 different features that determine the potability of water. Besides that, the study's consideration is to evaluate the impact of trimming, IQR, and percentile methods on the performance of machine learning algorithms. The models were built using nine different classification algorithms (Logistic Regression, Decision Trees, Random Forest, XGBoost, Naive Bayes, K-Nearest Neighbors, Support Vector Machine, AdaBoost, and Bagging Classifier). According to the results, filling the missing data with the population mean and handling outliers with Trimming and IQR methods improved the performance of the models. Random Forest and Decision Tree algorithms were the most accurate in determining the potability of water. The findings of this research are of high importance to sustainable water resource management and serve as a crucial input for the decision-making process on the quality of water. The study also offers an example for researchers working on datasets that contain missing values and outliers.
A hybrid approach to obesity level determination with decision tree and pelican optimization algorithm
Authors: Yağmur Nagihan
Published: September 2024

Approximately 2 billion people in the world struggle with "obesity" and factors like eating lifestyle, habits, health conditions and mode of transport affect obesity. In this study, an artificial intelligence and machine learning-based model has been developed to predict obesity levels. It is proposed to create a hybrid model by combining the Decision Tree (DT) algorithm with the Pelican Optimization Algorithm (POA) on the obesity dataset of 2111 patients in SSggle. These models emphasize the critical role of parameters, aiming to achieve high performance. To solve the classification problem of multi-class obesity level determination, fuzzy logic-based parameter optimization is used to achieve high performance. While obesity rates are increasing worldwide, the study, which aims to globalize the parameters with the random discovery strategy of POA, is thought to be helpful for health professionals and decision-makers by successfully predicting obesity levels.
Diffusion Limited Aggregation via Python: Dendritic Structures and Algorithmic Art
Authors: Allahverdi Çağdaş , Allahverdi Yıldız
Published: September 2024

Diffusion limited aggregation (DLA) has attracted much attention due to its simplicity and broad applications in physics such as nano and microparticle aggregations. In this study, the algorithm of DLA is written with Python. Python's Turtle library is used to plot the aggregate on the computer monitor as it grows. The algorithm is run on the Raspberry Pi. A cheap and portable medium is created for DLA simulation. Two different options are placed in the algorithm. The first path does not allow the primary particle to turn outside of the aggregate after the collision. However, the second one allows the percolation of the primary particle both inside and outside of the aggregate. The spherical dendritic structures consisting of 500-2000 primary particles are obtained by the algorithm. The fractal dimension of these structures is around 1.68. Their porosity is found below 50%. Their gyration radii are also calculated. Beyond scientific investigation, examples of algorithmic art using these dendritic structures are also given.
The effect of foundation type selection on approximate cost of reinforced concrete buildings: the role of soil classes and number of floors
Authors: Kafkas Uğur
Published: September 2024

This study investigates the choice of foundation type, which is one of the factors affecting the approximate cost of rough construction of buildings with reinforced concrete structural systems. In the study, isolated, continuous and raft foundation types are discussed comparatively for buildings with different numbers of floors (1-4 floors above the basement) and different soil classes (ZB-ZE). In the literature, there is no study in which the effects of foundation type, number of floors and soil classes on the approximate cost of a building are analyzed together. This study aims to fill this gap in this field. Reinforced concrete design and analysis were performed using Protastructure 2022 software; concrete, formwork and reinforcing steel quantities were calculated, and approximate costs were calculated with the Republic of Türkiye Ministry of Environment, Urbanization and Climate Change 2024 Construction and Installation Unit Prices (TCÇŞİDB 2024) and the results were presented in tables and graphs. According to the study's findings, as the soil class improves, isolated foundations are more economical than other foundations. In contrast, the cost of isolated foundations increases significantly as the soil class deteriorates and the number of floors increases, while the cost difference between continuous foundation and raft foundation decreases.
Forecasting urban forest recreation areas in Turkey using machine learning methods
Authors: Özbalcı Mehmet Cüneyt , Dikici Sena , Bilgin Turgay Tugay
Published: September 2024

Recreation is the process of revitalizing and renewing human existence through optional activities, serving as a broad description. It has prominently arisen as a reaction to personal requirements for stress reduction, especially in developed urban areas. Engaging in this recreational activity provides a way to utilize one's spare time, providing refreshment for both the physical and mental aspects, whether done alone or with others, in countryside or city environments. Urban forests are important leisure places within city environments. An expanded presence of urban forest places can greatly enhance the general well-being of society. The estimation of urban forest areas in the future may receive increased attention, leading to measures to extend current areas or prepare for future activities and services. We utilized official statistics from the years 2013 to 2021, sourced from the Republic of Turkey official website. Ministry of Agriculture and Forestry's General Directorate of Forestry. We used statistics that contained information about urban forests, classified as Type D recreational areas, to create a dataset. We performed provincial-level area projections for the year 2021. Using the KNIME platform, we used three different analysis techniques: linear regression analysis, gradient-boosted regression trees and artificial neural networks. It is seen that the results of linear regression and artificial neural networks are close to each other and give good results. The peak performance was attained using artificial neural networks, resulting in an R2 score of 0.99. This study differs from other similar projects by concentrating on calculating urban forest recreational spaces per province throughout Turkey, using data provided by government agencies. The accomplishments highlight the ability to make reliable predictions about future forest resources by using analogous forecasts in the upcoming years.
Synthesis, characterization, and investigation of antibacterial and antifungal properties of salt and metal complexes of 2-amino-5-chloropyridine and 2,6-pyridinedicarboxylic acid
Authors: Polat Ayşe , İlkimen Halil , Yılmaz Beyza , Yurt Elif , Gülbandılar Aysel
Published: September 2024

In this study, the salt (3) of 2-amino-5-chloropyridine (1) and 2,6-pyridinedicarboxylic acid (2) and the complexes of the salt (H1)x[M(2)2].nH2O, M = Fe (III), x = 1, n = 3 (4); M = Co(II), x = 2, n = 4 (5); M = Ni(II), x = 2, n = 5 (6); M = Cu(II), x = 2, n = 4 (7)} were synthesized. The structures of 3-7 were suggested by NMR, AAS, IR, UV, magnetic susceptibility and molar conductivity methods. As a result of spectroscopic analysis, it was observed that all metal complexes had an ionic and octahedral structure. All substances were susceptible to Candida albicans (yeast), Escherichia coli, Bacillus subtilis, Enterococcus faecalis, Pseudomonas aeruginosa, Listeria monocytogenes and Staphylococcus aureus bacteria were examined. Antimicrobial activity results were compared with Fluconazole, Ketoconazole, Chloramphenicol, Levofloxacin, Vancomycin and Cefepime. In the activity results, the best values were observed 3, 5 and 7 in S. aureus bacteria, 1 and 5 in E. coli bacteria, 1, 3 and 7 in P. aeruginoa bacteria, all compounds in L. monocytogenes bacteria, all compounds (except 4) in E. faecalis bacteria, 1 and 3-5 in B. subtilis bacteria and 3, 4 and 7 in C. albicans yeast.
Evolving trends and advanced applications of engineering materials in contemporary aircraft: a review
Authors: Izzuddin Muhammad Hasan , Akın Merve , Bekmezci Muhammed , Kaya Güray , Şen Fatih
Published: September 2024

This review article discusses the engineering materials used in aircraft, with a focus on aluminum alloys, titanium alloys and composite materials, including where and why they are most used in aircraft. There are many research papers that deal in detail with materials such as aluminum alloys, titanium alloys and composites used in an aircraft, including theoretical and experimental results. However, the author felt that a review of aircraft materials was necessary, both for himself and to help others interested in similar topics. In addition, the author felt the need of thinking back to the past on what materials used to be prevalent and what materials have superseded them. One such example written in this study is the case of Aluminum that used to be the predominant material in aircraft structural components, has been increasingly supplanted by polymer composites in recent years due to their advantageous properties. It is hoped that from this review article the reader will be able to understand the general trend of recent developments in aeronautical engineering materials and be able to choose which path to follow and which area to focus on in their future research.
Microstrip Patch Antenna Design for 5G and Beyond Wireless Communication Systems
Authors: Barışer Bahar , Umakoğlu İnci , Namdar Mustafa , Başgümüş Arif
Published: September 2024

This paper gives a theoretical evaluation on how feeder lengths are appropriate for distinct conductor materials using rectangular microstrip patch antenna shape with the help of finite integration techniques (FIT). In this study, the ground surface width is 5.6mm and the ground surface length is 4.65 mm for the rectangular microstrip patch antenna. The length of the patch is 3.44 mm while the patch width is 4.40 mm. The substrate thickness is at 0.20 mm, the patch thickness is 0.035 mm the additional inner feed length is 1.05 mm and the microstrip line feed width is 0.6 mm. Antenna of rectangular microstrip patch type has been designed to work in the 20 – 36 frequency band and working frequency of the proposed antenna is 28 GHz. Compared to the use of a single conductor on the surface of the designed patch antenna, three different conductor materials-copper, gold, and aluminum-were applied to the patch surface of the antenna. The return loss (S11), voltage standing wave ratio (VSWR), bandwidth (BW), directivity and gain of the microstrip antenna parameters are studied using finite integration method Computer Simulation Technology (CST) based on nine different feed lengths in microstrip antenna design. When analyzing the feature of the simulation, the optimal S11 can be observed at the 28 resonant frequencies in the copper conductor. According to the analysis results, for copper conductor the best S11 was obtained at a resonant frequency of 28.03 GHz. The value of S11 is -31.19 dB and the BW value is 968 MHz. For the gold conductor the high return loss is achieved using the at the resonated frequency of 28.01 GHz. S11 value is -32 dB and the BW value is 972 MHz Aluminum conductor has the highest value of S11 with a resonant frequency of 28.01 GHz as shown in -33.29 dB and BW value is 976 MHz. Unsurprisingly, the characterization of the conductor deposition on each structure shows that aluminum conductor yielded the best S11 among all the conductor types. The VSWR is equal to 1.05 for copper conductor at resonant frequency of 28.03 GHz, 1.05 at gold conductor at a resonant frequency of 28.01 and 1.04 for aluminum conductor at a resonant frequency of 28.01 GHz. The maximum directivity values that have been attained in the three-dimensional (3D) representation of the copper conductor, gold and aluminum conductor antennas are nearly 6.99 dBi, respectively. The maximum values of the gain are obtained for the 3D representation of copper, gold and aluminum conductor antennas are 6.61, 6.60 and 6.58 dBi, respectively.
Indonesian to Bengkulu Malay Statistical Machine Translation System
Authors: Sari Miranda Bella Okta , Yuliansyah Herman , Biddinika Muhammad Kunta
Published: September 2024

Machine translation is an automatic tool that can process language translation from one language to another. This research focuses on developing Statistical Machine Translation (SMT) from Indonesian to Bengkulu Malay and evaluating the quality of the machine translation output. The training and testing data consist of parallel corpora taken from Bengkulu Malay dictionaries and online resources for Indonesian corpora, with a total of 5261 parallel sentence pairs. Several steps are performed in SMT. The initial step is preprocessing, aimed at preparing the parallel corpus. After that, a training phase is conducted, where the parallel corpus is processed to build language and translation models. Subsequently, a testing phase is carried out, followed by an evaluation phase. Based on the research results, various factors influence the quality of SMT translation output. The most important factor is the quantity and quality of the parallel corpus used as the foundation for developing translation and language models. The machine translation output is automatically evaluated using the Bilingual Evaluation Understudy (BLEU), indicating accuracy values observed when using 500 sentences, 1500 sentences, 2500 sentences, 4000 sentences, and 5261 sentences are 80.56%, 90.86%, 92.50%, 92.91%, and 94.48% respectively.
Machine Learning Algorithms for Prediction of Boiler Steam Production
Authors: Lianzhai Duan , Roestam Rusdianto , Sen Tjong Wan , Fahmi Hasanul , ChungKiat Ong , Hariyanto Dian Tri
Published: September 2024

The continuous increase in global electricity demand has resulted in boiler power plants becoming a significant energy source. The production of steam is a principal indicator of boiler efficiency, and the accurate prediction of steam production is paramount importance for the enhancement of boiler efficiency and the reduction of operational costs. In this study employs a boiler dataset with a steam production capacity of 420 tons per hour. A total of 25 independent variables were extracted from the original 39 variables through data processing and feature engineering for the purpose of prediction analysis. Subsequently, 8 machine learning models were used for modeling predictions. Grid search cross-validation was employed in order to optimise the performance of the model. The models were analysed and assessed using the Mean Squared Error (MSE) metrics. The results show that random forest achieves the highest accuracy among the 8 single models. Based on 8 models, New Bagging ensemble model is proposed, which combined predictions from 8 single models, demonstrated the optimal overall fit and the lowest MSE, achieved the purpose of the research. The present study demonstrates the ability to analyse and predict complex industrial systems with machine learning algorithms, and provides insights into the use of machine learning algorithms for industrial big data analytics and Industry 4.0. Further work could explore using larger datasets and deep learning to make predictions more accurate.
Sejarah Perkembangan Kaligrafi Arab di Indonesia dan Penggunaannya
Authors: Yunisa Rika Ananda , Nazwa Hanna , Daulay Lili Sardiani
Published: September 2024

As one of the beautiful works of art in Islamic culture, calligraphy also flourished in Indonesia. In addition to being a visual art form, calligraphy also embodies Islamic aesthetic and spiritual principles. The use of calligraphy in mosque decorations, Qur'an mushaf, and other religious objects adds to the majesty and beauty of the sacred writings. Furthermore, calligraphy is a significant component in Indonesian education. Lots of art schools and cultural centres offer calligraphy courses, giving the younger generation the opportunity to understand and inherit this art. The learning of calligraphy covers not just the functional elements, but also the cultural and spiritual values in each stroke of the letter. This research aims to explore the development, use, and impact of Arabic calligraphy in Indonesia, particularly in education. Qualitative research using a library research strategy is the methodology employed, through searching journal articles on the history of Arabic calligraphy in Indonesia.
Comparison of Pre- and Post-treatment Pain Scores of Twenty One Horses with Laminitis Treated with Acupoint and Topical Low Level Impulse Laser Therapy
Authors: Petermann Uwe
Published: September 2024

Low-level impulse lasers have been applied focally to stimulate acupoints (laser acupuncture) and topically over wounds, joints and other tissues to increase circulation and promote healing. Laser acupuncture has been used to treat neck and back pain, tendonitis, osteoarthritis, injuries, chronic allergies, immune-mediated disorders, internal medical disorders and other diseases. Low level impulse laser therapy (LLLT) reduces inflammation and muscle spasms, increases blood perfusion and encourages clearance of peroxide radicals and healing in abscessed and degenerating tissues. Twenty one horses with laminitis were presented to the author for LLLT on acupoints and topically to encourage microcirculation and demarcation of abscesses of the hoof. Before and after completion of a series of LLLT treatments, each horse was evaluated and given a pain score based on a pre-determine pain scale. The mean ± standard deviation of pre- and posttreatment pain scores were compared with a t-test and were significantly different at p<0.001. Photographs of severe cases of laminitis in horses recommended for euthanasia are shown before and after LLLT. The results of this pilot study support the use of LLLT as a primary or adjunctive treatment option for equine laminitis and indicate the need for further exploration of LLLT for laminitis and other diseases in animals.
Laser Acupuncture and Local Laser Therapy in Veterinary Medicine with Overview of Applied Laser Types and Clinical Uses
Authors: Petermann Uwe
Published: September 2024

Local laser therapy or low level laser therapy (LLLT) has been enjoying increased popularity in recent years in both human and veterinary medicine. It provides excellent healing in traumatized or infected tissue by increased energy (ATP) in diseased tissues which have high energy requirements, provides peroxide clearance and restructures abnormal dense connective tissue (e.g. in tendonitis). Acupuncture and LLLT are separate treatment modalities, but the synthesis of these two very effective therapies allows local healing of diseased tissue with LLLT supported by acupuncture as an autonomous regulating therapy. It is important to emphasize that the resulting “laser acupuncture” not only means the stimulation of the acupuncture point by the laser beam instead of the needle, but that the local tissue healing effect of increased ATP production by laser light supplements acupuncture as an integral part of the therapy. It is important to differentiate between the different types of lasers (continuous wave versus pulsed wave) and the different features that are associated with laser effects such as: wavelength, power output and resonance frequencies. When evaluating appropriate laser units for use in veterinary laser acupuncture, the pulsed lasers with a 90 watt pulse peak and 904 nm wavelength are featured as they achieve high penetration depth with sufficient application of laser photons in traumatized or infected tissue, without a thermal reaction in the tissue. For veterinary acupuncturists, the addition of low level laser therapy and laser acupuncture can be used in addition to any thinkable acupuncture treatment which gives additional options for achieving optimal results.
مدى الانتفاع دوائيا بالأعيان النجسة بعد استحالتها
Authors: المخلافي كوثر حمود
Published: September 2024

يهدف هذا البحث إلى التعرف على حكم استحالة الأعيان النجسة إلى أعيان أخرى طاهرة وحكم طهارتها، وكذلك التعرف على مدى الانتفاع دوائياً بهذه الأعيان النجسة بعد استحالتها، واتبعت الباحثة المنهج المقارن بين المذاهب الفقهية مستخدمةً المنهج الاستقرائي النظري والتحليلي الوصفي.
وعرفت الباحثة المصطلحات الواردة في البحث، وبينت أهدافه وأهميته وأسباب اختياره.
وتوصل البحث إلى نتائج أهمها:

التداوي بالأعيان النجسة إذا استحالت بالمعالجة إلى أعيان أخرى طاهرة، وتحققت فيها الاستحالة الكاملة، ودعت الضرورة لذلك، ولم يوجد البديل لها.
مواكبة الفقه الإسلامي للقضايا المعاصرة واستيعابه لكل متطلبات الحياة ونوازلها المستجدة بإلحاقه الصور الحادثة بقواعدها وأصولها، وهو ما يعيد إحياء الفقه وتجديد فاعليته.

وتم وضع جملةً من التوصيات والمقترحات منها:

ضرورة قيام الجهات المعنية في الدول الإسلامية بالاستفادة من جلود وعظام الحيوانات المذبوحة إسلامياً، واستخراج مادة الجيلاتين منها، وتشجيع الصناعات الدوائية في البلاد الإسلامية.
إضافة مواد شرعية إلى جانب المواد المقررة في كلية الطب؛ يدرس من خلالها الطالب الأحكام الشرعية والفقهية للأعمال الطبية لتخريج أطباء وصيادلة مسلمين، لديهم معرفة بأمور دينهم حسب المتاح المطلوب الذي قد يحتاجون فيه إلى الإجابة عن تساؤلات بعض المرضى.
أثر الذكاء العاطفي في الالتزام التنظيمي في الجامعات اليمنية الخاصة
Authors: طواف عبدالخالق هادي , سنان ياسمين
Published: September 2024

يهدف هذا البحث إلى تحديد أثر الذكاء العاطفي في الالتزام التنظيمي في الجامعات اليمنية الخاصة. وقد تم استخدام المنهج الوصفي التحليلي، وتكون مجتمع الدراسة من أساتذة وموظفي الجامعات الخاصة التي مضى على تأسيسها عشر سنوات فأكثر، وتم أخذ عينة عشوائية طبقيّة بحسب الجامعات حجمها (282) مفردة. تم جمع البيانات باستخدام استبانة مكونة من (43) عبارة لقياس الذكاء العاطفي والالتزام التنظيمي.
أظهرت نتائج البحث أن هناك علاقة إيجابية بين الذكاء العاطفي والالتزام التنظيمي، وأن الذكاء العاطفي يفسر (29.4%) من التباين في الالتزام التنظيمي. كما أظهرت النتائج أن أبعاد الذكاء العاطفي (التعاطف، والمهارات الاجتماعية، والتحفيز) هي الأكثر تأثيراً في مستوى الالتزام التنظيمي.
وبناءً على نتائج البحث، يوصي الباحثان الجامعات اليمنية الخاصة بتعزيز مهارات الذكاء العاطفي لدى موظفيها من خلال توفير فرص التدريب والتطوير، واعتماد نهج قائم على الذكاء العاطفي في أساليب القيادة وإدارة الموظفين، وأوصى البحث بمزيد من الدراسات المستقبلية لتحديد أكثر المتغيرات المؤثرة في الالتزام التنظيمي في أوساط الجامعات اليمنية الخاصة.
الاتجاه الزيدي في كتابة السيرة النبوية في اليمن خلال القرن9هـ/15م الإمام المهدي أحمد بن يحيى المرتضى (793-840ه/1391-1436م) أنموذجًا.
Authors: قعشة حزام مثنى صالح
Published: September 2024

يأتي هذا البحث ليسلط الضوء على التعريف بالمذهب الزيدي، ونشأته، وتوضيح اتجاه المذهب ومنهجه، في كتابة السيرة النبوية من خلال الإمام المهدي أحمد بن يحيى المرتضى، بوصفه أنموذجًا لهذه الدراسة، وذلك من خلال مخطوط (يواقيت السير)، وتتمثل مشكلة البحث في معرفة ما اتجاهات الكتابات التاريخية عند الإمام ابن المرتضى؟ وما منهجه الذي يعتمد على الأحاديث الصحيحة ذات المنهج الواحد على أساس أنها منبثقة ومتصلة بمنهج القرآن الكريم؟ وقد استخدم الباحث المنهج الوصفي التحليلي، والمنهج النقدي، وتوصل البحث إلى عدد من النتائج، أبرزها، ظهور شخصية ابن المرتضى من أول المخطوط حتى آخره، ويتضح ذلك جليًا من خلال التنظيم العام للمخطوط، والعناية بالأرقام، والإحصاءات في موضعها، علاوة على جهده في وضع عناوين الأبواب والفصول، وجمع وتوزيع المادة العلمية عليها.
Exploring the Strategies Used in Subtitling Nicknames from English to Arabic
Authors: الشريف مرام صالح أحمد , الشجاع عبد الحميد
Published: September 2024

Nicknames in audiovisual content serve multiple purposes including, highlighting character traits, adding humor, fostering familiarity, and revealing relationships within the narrative. Subtitling these names can be challenging, due to their culture-specific and connotative nature. However, there is a noticeable lack of research on the strategies involved in subtitling them, particularly from English to Arabic. Therefore, this study aimed to address this gap by identifying, analyzing, and assessing the strategies subtitlers used in subtitling nicknames from English to Arabic. To achieve this, 41 subtitles containing nicknames were selected from the first season of the TV series Lost and analyzed based on Pedersen’s (2011) taxonomy of strategies. Data were analyzed quantitatively and qualitatively. Results showed frequent use of Retention, Direct translation, Situational Substitution, and Omission strategies which failed to convey the intended meaning causing a deviation from the original effect. The used strategies suggested a tendency to untranslated them. Therefore, it was recommended to consider the functional aspects of the nicknames and the significance of conveying their intended meaning to enhance the effectiveness of nickname subtitling and improve viewer experience. Instructors of translation are also recommended to pay sufficient heed to the teaching of strategies of nickname subtitling.
أثر الرشاقة الاستراتيجية في تحقيق الاستدامة التنظيمية: دراسة تطبيقية على الجامعات الأهلية اليمنية في أمانة العاصمة
Authors: علي عبدالله ثابت فرحان
Published: September 2024

هدفت الدراسة إلى التعرف إلى مستوى الرشاقة الاستراتيجية والاستدامة التنظيمية في الجامعات الأهلية اليمنية، وتحديد أثر الرشاقة الاستراتيجية على الاستدامة التنظيمية، واعتمدت الدراسة على المنهج الوصفي التحليلي، واستخدمت الدراسة الاستبانة أداة لجمع البيانات والمعلومات من أفراد عينة الدراسة، وأبرز النتائج التي توصلت اليها الدراسة هي أن الرشاقة الاستراتيجية والاستدامة التنظيمية سائدة بمستوى متوسط في الجامعات اليمنية، وأن هناك تأثيرًا لأبعاد الرشاقة الاستراتيجية  على تحقيق الاستدامة التنظيمية في الجامعات اليمنية.