bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the role of urine analysis in early detection of chronic kidney disease
Authors: H. Frank
Published: October 2024

This study focuses on the development and validation of a urine-based diagnostic model for early detection of Chronic Kidney Disease (CKD). Only urine indicators, hypertension, diabetes mellitus, coronary artery disease, appetite, pedal edema, and anemia, are selected based on their relevance to CKD. A decision tree algorithm is utilized for model development, with specific parameters set for optimal performance. The model is trained and evaluated using two datasets, demonstrating promising results in terms of 100% true positive and true negative rates in validation study. The findings highlight the potential clinical significance and applicability of the developed model for timely interventions in CKD patients.
Insecticide phytocoil production from neem based materials and characterization of neem oil extract
Authors: Saka Tahiru , Khursheed Aadil , Abubakar Abdulhalim Musa , Pandit Gaurav Kumar , Simon Peter , Hamoudou Mamoudou
Published: October 2024

Neem based materials are abundant in almost every part of the world. It is allowed to litter the environment and eventually swept and disposed. In this study, neem oil was extracted from neem seeds kernel and its characterization was done by proximate analysis to determine the physico-chemical properties of the oil extracted. From the experiment, the moisture content, oil content, saponification (SAP) value, color and nature at room temperature of the grinded neem seed are 11.4%, 48.4%, 171 mg KOH, golden yellow and liquid, respectively. The primary objective of this work is to formulate an insecticide phytocoil from neem materials. The formulated insecticide phytocoil from both oil and neem leaves can be used as substitute to synthetic insecticides. Examining the repelling ability of the phytocoil confirms its ability to deter mosquitoes for up to 4 hrs in a small toilet room. Packaging as well as the improvement of the methodology of its mass production is suggested to enhance its looks and shape it to acceptable standard
Isolation and Phytochemical Testing of Endophytic Fungi from Imperata cylindrica (L.) Beauv plants.
Authors: Jamilatun Makhabbah
Published: October 2024

High drug prices and increasing antibiotic resistance have prompted exploration of natural resources as a source of new antibiotics. The Imperata cylindrica (L.) Beauv. plant is one of the plants used in traditional medicine. Secondary metabolites as bioactive compounds in plants can be obtained through endophytic fungi without having to extract them from plants. Secondary metabolites produced by endophytic fungi can function as raw materials for medicines. This research aims to isolate endophytic fungi and test phytochemicals from Imperata plants to determine the type of secondary metabolites produced. The methods used in this research include isolation and purification of endophytic fungi, identification of endophytic fungi, production of secondary metabolites of endophytic fungi, and screening of phytochemicals resulting from endophytic fungi fermentation. The isolation results showed that there were 7 isolates of endophytic fungi, consisting of 1 isolate from the flower, 3 isolates from the stem, and 3 isolates from the roots. Identification of endophytic fungus using macroscopic and microscopic observations including the genera Fusarium sp., Mucor sp., Penicillium sp., Trichoderma sp., Aspergillus sp., Phytophthora sp. The results of the phytochemical test for endophytic fungi showed that the secondary metabolites produced were flavonoid and saponin compounds. Based on this research, it can be concluded that the endophytic fungi of the Imperata cylindrica (L.) Beauv. plant produces secondary metabolites which have the potential to be developed as medicinal raw material compounds.
Effect of process temperature and percentage of rock sugar on the functional group intensity of red ginger extract
Authors: Asyafa Amalia Cantika , Sari Dessy Agustina
Published: October 2024

Red ginger has various health benefits that can be consumed in various ways, one of which is an instant powder drink, which is practical and extends the shelf life of the product. The processing process involves cooking at high temperatures with the help of sugar as a crystallization agent. This research aims to understand the effects of temperature and sugar concentration on red ginger extract. The variables used are temperatures of 80 and 90°C and rock sugar concentrations of 60% and 100%. Product evaluation was carried out using Fourier Transform Infrared Spectroscopy (FT-IR) to identify product functional groups. The research results showed that there were differences in functional group content between solid and liquid samples, both fresh raw materials and dregs. In the solid sample, seven functional groups were identified: N-H, C-H, C-H bending, C-N, C=C, C-C, and C-O. Meanwhile, in liquid samples, only six groups were identified, namely O-H, C=C, O-H bending, C-N, C-C, and C-O. Overall, this study shows that the functional group content in fresh red ginger is higher than that in red ginger pulp, even though the temperature is lower. However, if the comparison is between the solid and liquid sample conditions for fresh red ginger with fresh red ginger or dregs with dregs, the content at a cooking temperature of 90°C is higher than 80°C. Apart from that, the higher the rock sugar content in the red ginger pulp, the higher the content of functional groups identified in the extract
Culture and heritage tourism sentiment classification through cross-industry standard process for data mining
Authors: Singgalen Yerik Afrianto
Published: October 2024

This study investigates the efficacy of machine learning algorithms in sentiment classification within the context of Culture and Heritage Tourism content analysis. This study adopts the CRISP-DM method, a comprehensive methodology encompassing distinct stages, including business understanding, data understanding, modeling, evaluation, and deployment. The k-nearest Neighbors, Decision Tree, Naive Bayes Classifier, and Support Vector Machine models are used. The performance of each model is scrutinized through confusion matrix analysis, encompassing metrics such as accuracy, precision, recall, and F-measure. Additionally, the impact of the Synthetic Minority Over-sampling Technique (SMOTE) implementation on addressing data imbalance is assessed. Leveraging data from the national geographic channel's YouTube platform, with a focus on ma'nene content, results reveal SVM's consistent superiority, particularly with SMOTE integration, showcasing elevated accuracy (77.89%), precision (72.60%), recall (89.62%), and F-measure (80.21%) values. These findings underscore the importance of algorithm selection and data preprocessing methods in enhancing sentiment classification accuracy for culture and heritage tourism content, thus contributing quantifiable insights to the tourism research domain.
Strategy and planning for beef cow development based on land carrying capacity in South Tapanuli District
Authors: Hasibuan Arif Sopiandin , Tafsin Ma'ruf , Budi Usman
Published: October 2024

South Tapanuli District has quite potential in developing beef cattle by maximizing the potential of land with various types of plantation and agricultural plants as a source of animal feed. The objectives to be achieved in this research are to analyze the availability of feed based on plantation crops and food crops that support beef cattle feed sources, analyze variables in beef cattle development in influencing the number of beef cattle populations, and analyze strategic factors that influence the success of developing beef cattle and formulating strategies to increase beef cattle production in South Tapanuli District. Multiple linear regression analysis was used to examine the data. The study's findings demonstrate the abundance of potential carrying capacity of the region's land, with plantation area having the capacity to support 1,420 beef cattle annually and agricultural land having the capacity to support 14,508 cattle annually.
Fuzzy logic framework for financial distress prediction: Enhancing corporate decision-making under uncertainty
Authors: Judijanto Loso , Riandari Fristi
Published: October 2024

This research aims to develop an enhanced Fuzzy Logic Framework for Financial Distress Prediction to improve corporate decision-making under uncertainty. The primary objective is to address limitations in traditional fuzzy logic models, such as static rule bases and lack of adaptability to dynamic financial conditions. To achieve this, a time-dependent fuzzy logic system is proposed, incorporating real-time financial data and adaptive learning mechanisms to improve predictive accuracy over time. The research design involves creating a dynamic fuzzy rule base, assigning weights to rules based on predictive performance, and optimizing membership functions and rule weights using real-time data. The methodology applies the proposed framework to financial indicators such as liquidity, profitability, and leverage, with a numerical example demonstrating the system's effectiveness in predicting financial distress. The results show that the model can accurately predict financial distress levels, with a predicted distress value of 0.588 compared to an actual value of 0.6. The model’s ability to update rule weights and optimize predictions over time represents a significant improvement over static fuzzy logic models. This research fills a critical gap in financial distress prediction by introducing a dynamic, adaptive fuzzy logic framework that evolves with real-time data. The model offers significant implications for both academics and industry, providing a tool for more accurate risk assessment in volatile financial environments. However, further research is needed to refine the model’s computational efficiency and test its long-term predictive capabilities across different industries
Growth and biochemical responses of red chili (Capsicum annuum L) under drought conditions with 6-Benzylaminopurine application
Authors: Sihotang Tambun , Siregar Luthfi Aziz Mahmud , Rahmawati Nini
Published: October 2024

The purpose of this research is to assess how red chili plants (Capsicum annuum L.) develop and react biochemically to drought stress, as well as how cytokinin treatment affects these plants. The study employed a factorial Randomized Block Design (RAK) with three replications and two components, namely the degree of drought with three stages, comprising: K1 has an 80% soil water content, K2 has a 60% soil water content, K3 has a 40% soil water content, and S0, S1, S2, and S3 have 0 ppm, 10 ppm, 20 ppm, and 30 ppm of 6-benzylaminopurine concentration, respectively. Plant height, leaf count, root length, flowering age, total and aqueous chlorophyll content, activity of antioxidant enzymes (e.g., superoxide dismutase and peroxide dismutase), and hydrogen peroxide as a signal for plant molecules against dehydration stress are among the parameters assessed. The findings demonstrated that red chili plants under drought stress experienced slower growth, as seen by a reduction in height and leaf count as well as earlier flowering. However, by raising plant height, leaf count, and chlorophyll levels (a, b, and total), cytokinin treatment was able to lessen the deleterious impacts of drought. When treated with 10 ppm 6-Benzylaminopurine, the enzyme activity of superoxide dismutase, peroxide dismutase, and hydrogen peroxide increased, but at other dosages, it tended to decrease, suggesting a slight but noticeable increase in plant defense mechanisms against oxidative stress. Therefore, giving red chili plants 10 parts per million of cytokinin may be a useful tactic for enhancing their resistance to drought stress.
Data-driven corporate growth: A dynamic financial modelling framework for strategic agility
Authors: Sihotang Hengki Tamando , Vinsensia Desi , Riandari Fristi , Chandra Suherman
Published: October 2024

This research aimed to develop a Dynamic Financial Growth Model (DFGM) to enhance corporate growth by promoting strategic agility through data-driven decision-making. The main objective was to optimize corporate value by integrating real-time data, dynamic decision-making, risk management, and scenario analysis. The research employed a mathematical modelling framework that combined predictive analytics, real options theory, and scenario-based optimization to represent dynamic corporate financial decisions. The numerical example demonstrated how the model adjusts strategic decisions in response to changes in market data and evaluates corporate value under optimistic, pessimistic, and baseline scenarios. The main results indicated that the DFGM is effective in optimizing corporate value by allowing for continuous adjustments and strategic flexibility, distinguishing itself from traditional static financial models that lack real-time adaptability. The findings highlighted the value of incorporating risk constraints and scenario analysis, resulting in a balanced approach that manages both growth and uncertainty. However, the study identified limitations, including the need for empirical validation, more complex predictive analytics, and accounting for behavioral factors affecting decision-making. The conclusion emphasizes that the DFGM provides an adaptable and data-driven framework that enhances corporate strategic agility, making it a valuable tool for managing growth in rapidly changing environments, while also suggesting future research to refine the model's practical application
Decision Support System for Poor Student Aid Admission Selection (BSM) using the Topsis Method
Authors: Liawan Siska
Published: October 2024

The Poor Student Assistance Program (PSAP) is a direct assistance to students and not a scholarship, because it is based on students' economic conditions and not on merit (scholarships). Not all students from poor families can receive the Poor Student Assistance Program (PSAP). So of the many students who are prospective recipients of poor students who have met the criteria for selecting help from poor students, not all of them will be the prospective recipients of these poor students. So that in the selection of prospective beneficiaries of poor students must need a Decision Support System (SPK), so that the school will be helped in determining prospective students who receive Poor Student Assistance (PSAP) so that every student from a poor family can receive such assistance Decision support systems (DSS) are part of a computer-based information system (including knowledge-based systems (knowledge management) that are used to support decision making within an organization or company. poor is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) TOPSIS provides a solution of a number of possible alternatives by comparing each alternative with the best and the worst alternative alternatives among the alternative problems.
Decision Support System for Determining Suppliers to Purchase Goods using the Analytical Hierarchy Process Method at PT. Nippon Indosari Corpindo, Tbk
Authors: Sihite Sihar
Published: October 2024

PT. Nippon Indosari Corpindo, Tbk is one of the companies engaged in the industry where the supply and receipt of goods or materials and support in the running of the production process is the most important thing in the process of running this company. That is why in accepting every item from the supplier, it must be well determined and designed to expedite every process, both production and processing inside. Decision support system that can process all data related to computerized supplier performance in order to get better results is of course using the AHP (Analytical Hierarchy Process) method. Decision support systems by mixing several calculation methods are expected to produce good results and are suitable for determining suppliers with outranking systems so that a viable supplier can be sorted by the best value.
Design of a Decision Support System for Performance Appraisal of Civil Servants with a Fuzzy Multi Attribute Decision Making Model
Authors: Syahputra M.
Published: October 2024

In accordance with the regulations that have been determined by the office to obtain a promotion, criteria are needed to determine who will be elected to receive a promotion. Promotions are carried out with the aim of providing feedback on the performance produced by a civil servant during a certain period. To help determine the application of someone who deserves to be promoted to a Decision Support System, the Fuzzy Multi Attribute Decision Making (FMADM) model is used. In this study, a case was raised, namely looking for the best alternative based on predetermined criteria using the Simple Additive Weighting (SAW) method to calculate the FMADM model in this case. The fuzzy used uses a fuzzy system rule, namely fuzzification, inference and defuzzification. The FMADM model was chosen because it is able to select the best alternative from a number of alternatives, namely those who have the right to choose employees to be promoted to their positions according to the specified criteria. The research was conducted by finding the weight value for each attribute, then a ranking process was carried out which would determine the optimal alternative, namely the best civil servant.
Decision Support System for Determining the Level of Employee Salary Increase in CV. Zada Bata Karya, Using the Simple Additive Weighting (SAW) Method
Authors: Syahreza Muammar
Published: October 2024

Employees are seen as one of the important company assets and need to be managed and developed to support the survival and achievement of company goals. One form of organizing employees that can be done by the company is to provide remuneration or appropriate salary payments for employees. Salary increases greatly affect the motivation and productivity of employees in carrying out and completing their work. To determine the amount of salary increase, we need a system that can support decision making by managers. Utilization of a decision support system using the Simple Additive Weighting (SAW) method is very helpful for managers in making decisions that are faster and more accurate. The basic concept of the SAW method is to find the weighted sum of the performance ratings on each alternative and on all attributes that require the normalization process of the decision matrix (X) to a scale that can be compared with all existing alternative ratings. This method was chosen because it is able to select the best alternative from a number of alternatives based on the specified criteria. The research was conducted by finding the weight value for each attribute and then ranking it to determine the optimal alternative.
Decision Support System for Determining the Level of Employee Salary Increase Based on Performance at PT. Mark Dynamics Indonesia.tbk by Using the Simple Additive Weighting (SAW) Method
Authors: Batubara Nanda Aprilia
Published: October 2024

Employees viewed as by one of important company assets and require to be managed is and also developed to support the continuity of life and attainment of company target. One of form of employees organizing which can be done by company is give the recompensation or appropriate salary payment for employees. Increase employ very influencing of motivation and employees productivity in executing and finishing its work. To determine big of increase employ, needed by a system which can support the decision making conducted by manager. Exploiting of System of decision supporter by using method of Simple additive Weighting ( SAW) very assistive manager in conducting accurate and quicker decision making. Elementary concept of method SAW is look for the wight quantifying from rating performance in each alternative and at all of attribute requiring process of normalization of decision matrix ( X) to an scale which can be compared to by all existing rating alternative. This method is selected by because it is able to select the best alternative from a number of existing alternative pursuant to determined criterion. Research conducted with searching wight value to each; every attribute is later; then conducted by ranking to determine the optimal alternative.
Expert System for Identification of Diseases of Toddlers using Bayes' Theorem Method
Authors: Manalu Sandi
Published: October 2024

The disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about toddlers' illnesses as well as the symptoms experienced frighten parents. Information needs that are very fast from an expert to deal with problems or diseases of children under five expected by parents or the community. So that is what drives the development of a software application, namely the expert system for identification of children under five. An expert system for identification of toddlers is made as a tool to diagnose diseases experienced by children under five by using the symptoms experienced by children under five as a tool to detect diseases experienced by children under five. The system can identify 5 types of diseases with 23 symptoms of the disease. This expert system uses methods for developing problem identification, system design, implementation, and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft access as the database. The results of the consultation with this system indicate that the system is able to determine the disease and treatment solutions and the initial treatment that must be done, based on the symptoms previously chosen by the user.
Expert System Diagnosing Heart Disease using Bayes' Theorem Method
Authors: Ningsih Cahaya
Published: October 2024

Heart disease is one of the leading causes of death in Indonesia. The high number of deaths from heart disease is caused by the lack of cardiologists, the lack of public awareness of conducting regular heart health checks and the poor lifestyle of patients. So we need an application that can make it easier for users to detect heart disease early and independently. In this study, the aim is to build an application using the website-based Bayes Theorem method as a tool for diagnosing coronary heart disease. In this application, patients do not have to wait long for treatment by a doctor, but it can be an alternative to anticipate treatment quickly and precisely. How to use this application, the admin inputs questions in the form of symptoms that will be answered by the user, then the system will process all user answers using the Bayes theorem method and the system will issue output in the form of diagnostic results in the form of heart disease and various solutions. This application uses a Web programming language and Php & Mysql as a database. The system that has been built can assist patients in knowing the type of heart disease that is being suffered by the patient and according to the analysis of heart disease experts.
Determination of the Amount of Instant Noodle Production By Applying the Fuzzy Mamdani Method at PT. Indofood CBP Sukses Makmur Tbk Medan
Authors: Panjaitan Jon Parlagutan
Published: October 2024

The problem that often occurs in a company is difficult to determine the amount of production that must be produced, this is because the number of requests is not always fixed or there is no certainty. So also at PT Indofood CBP Sukses Makmur Tbk Medan which is engaged in the production of instant noodles. Fuzzy logic is one method for analyzing systems that contain uncertainty. The author uses the method mamdani or often also known method Min - Max, in this study the author uses data on the number of requests and the amount of inventory in PT. Indofood CBP prosperous success in the field from January to March 2018. System design to get output is done in stages (a) formation of fuzzy sets. (b) application of implication functions, (c) forming rules, (d) confirmation (defuzzification). In this study defuzzification is done using the centroid method
Decision Support System for Determining the Level of Employee Salary Increase at PT. Srikandi Inti Lestari Medan by Using the Simple Additive Weighting (SAW) Method
Authors: Saputra Bayu
Published: October 2024

Employees are seen as one of the company's important assets and need to be managed and developed to support the survival and achievement of company goals. One form of employee organization that can be carried out by the company is to provide remuneration or salary payments suitable for employees. Salary increases greatly affect employee motivation and productivity in carrying out and completing their work. To determine the amount of salary increase, a system is needed that can support decision making by managers. Utilization of decision support systems using Simple Additive Weighting (SAW) method is very helpful for managers in making decisions that are faster and more accurate. The basic concept of SAW method is look for weighted sums of performance ratings on each alternative and on all attributes that require a decision matrix normalization process (X) a scale that can be compared with all available alternative ratings. This method was chosen because it was able to select the best alternative from a number of alternatives based on the specified criteria. Research was carried out by examining the weights for each attribute and then ranking it which would determine the optimal alternative.
Decision Support System to Determine List of Drug Crimes in the Legal Territory of North Sumatra by Using the AHP (Analytical Hierarchy Process) Method
Authors: Permana Gunawan Agus
Published: October 2024

Decision making is a key part of activities and information executives are not enough, data that is inaccurate and unable to analyze problems is a problem that occurs indecision making. Law is the most important system in implementing a series of institutional forces. To take a final decision whether a defendant is guilty or not for drug crime requires quite a long time so that in making a decision, a judge really needs as much information as possible. The Analytical Hierarchy Process (AHP) method has advantages in terms of decision making and accommodation processes for both qualitative and quantitative attributes for the decision making process of Analytical Hierarchy Process (AHP) which is also able to produce results that are more consistent, easily understood and used.
The Best Village Selection Decision Support System at the District Level Using the AHP Method (Case Study at the Pagar Merbau District Office)
Authors: Pratiwi Ika Rara
Published: October 2024

The empowerment of rural communities needs to be done institutional strengthening, increased motivation and self-help in community cooperation, so that in order to assess the success of village development, it is necessary to conduct a targeted, coordinated, integrated and sustainable assessment. with an assessment indicator. Village assessment is best done by comparing the latest development level based on village profile data in accordance with the assessment indicators. This study aims to build a decision support system to determine the best village based on the village assessment score using the Analytic Hierarchy Process (AHP) method. The data used is the village data in the Pagar Merbau sub-district. This best village assessment must pay attention to 6 criteria. The results of the accuracy testing that is performed produce accuracy values ​​from the data output process as much as 5 data. The output of this system is the ranking of each village that has been assessed so as to produce recommendations for decision making in determining the best village.
Decision Support System Determining Salary Increase Using the Sugeno Method at Pt. Sumatra Tobacco Trading Company
Authors: Achiriani Tri Wahyuning Tiyas
Published: October 2024

PT. STTC is a company engaged in the manufacture of cigarettes. In an effort of improving the performance of employees at PT. STTC giving salary increases to employees who have good performance. In granting salary increases are sometimes not in accordance with the results of its performance. Granting salary increases are often on average, or sometimes the granting of salary increases only with estimate only, without application of the calculation. For that is the need for decision support system of determining salary increases. For that is the need for decision support system of determining salary increases. one of the methods in use are using the method of fuzzy logic sugeno. The method selected for being able to complete the assessment of the performance of employees on the basis of criteria that are already in the set.
Evaluation-Focused Multidimensional Score for Turkish Abstractive Text Summarization
Authors: Kayalı Nihal Zuhal , İlhan Omurca Sevinç
Published: October 2024

Despite the inherent complexity of Abstractive Text Summarization, which is widely acknowledged as one of the most challenging tasks in the field of natural language processing, transformer-based models have emerged as an effective solution capable of delivering highly accurate and coherent summaries. In this study, the effectiveness of transformer-based text summarization models for Turkish language is investigated. For this purpose, we utilize BERTurk, mT5 and mBART as transformer-based encoder-decoder models. Each of the models was trained separately with MLSUM, TR-News, WikiLingua and Fırat_DS datasets. While obtaining experimental results, various optimizations were made in the summary functions of the models. Our study makes an important contribution to the limited Turkish text summarization literature by comparing the performance of different language models on existing Turkish datasets. We first evaluate ROUGE, BERTScore, FastText-based Cosine Similarity and Novelty Rate metrics separately for each model and dataset, then normalize and combine the scores we obtain to obtain a multidimensional score. We validate our innovative approach by comparing the summaries produced with the human evaluation results.
High Stress Hyperglycemia Ratio Versus Absolute Hyperglycemia as a Predictor of Poor Outcome Among Patients With Type 2 Diabetes Mellitus and Moderate to Critical Covid-19 Infection Admitted at a Tertiary Hospital from 2020-21: A Retrospective Study
Authors: Bello Mary Kenette , Cunanan Elaine C , Mendoza Erick , Bagos John Paul Martin
Published: October 2024

Background: Patients with diabetes are vulnerable and highly susceptible to contracting COVID-19. Stress hyperglycemia ratio (SHR) may provide prognostic information in hospitalized patients. It is debatable whether stress hyperglycemia directly leads to poor outcomes, or is simply a marker of increased stress and inflammation. Objective: This study investigates whether high SHR is associated with poor clinical outcomes among patients with type 2 diabetes mellitus (T2DM) and moderate to critical COVID-19 infection. Moreover, this study aims to compare high SHR versus absolute hyperglycemia as a predictor of poor outcomes. Methodology: A chart review was conducted on 146 COVID-19 patients with T2DM from March 2020 to December 2021. The area under the receiver operating curve was conducted to categorize SHR into low and high levels. The association of high SHR levels and absolute hyperglycemia with outcomes was analyzed using the regression analysis. Survival analysis was also utilized to allow differences in the time when in-hospital mortality occurred. Result: Patients with high SHR had a significantly higher proportion of mortality and invasive ventilation compared to those with low SHR. High SHR significantly increased the likelihood of invasive ventilation by 16.49 times and mortality hazards by 5.70 times compared to low SHR. Kaplan-Meier survival curves showed that those with high SHR had significantly lower survival rates than those with low SHR. In contrast, the survival estimates between those with and without absolute hyperglycemia were not statistically significant. Conclusion: High SHR (>1.082) was associated with poorer outcomes, increased invasive mechanical ventilatory support and increased mortality. Keywords: Stress Hyperglycemia Ratio, Absolute Hyperglycemia, Type 2 Diabetes Mellitus, COVID-19, Poor outcome
Address of Thanks By Kharam Molbog, MD (Batch 2024 Valedictorian)
Authors: Molbog Kharam
Published: October 2024

The valedictory speech given by Kharam Molbog for the Class of 2024 at the University of Santo Tomas - Faculty of Medicine and Surgery, centers on resilience, humility, and gratitude. Molbog shares his journey from humble beginnings, to ultimately becoming valedictorian despite numerous challenges, including a medical condition and personal setbacks. His story underscores a message of persistence, the importance of community, and self-belief, capturing his transformation through hard work and the support of family, friends, and mentors.
İslam ve Toplum Araştırmaları, Amerika Dergisi (AJIS) Hakkında
Authors: Baktemur Hatice Kübra
Published: October 2024

Elinizdeki bu sayı, İslam ve Toplum Araştırmaları Dergisi, Amerika’nın (Ame-rican Journal of Islam and Society-AJIS) 2021 yılında yayımlanan sayılarında yer alan ve Türkiyeli okuyucunun dikkatini çekeceğine inandığımız dört ma-kaleden oluşan bir seçkiye tekabül etmektedir. Bu sayının ilk makalesi, Mayıs 2021’deki “Makâsıdü’ş-Şerîanın Teorisi ve Kullanım Alanları” konulu AJIS sempozyumunda Prof. Dr. Mohammad Hashim Kamali tarafından sunulan kapsamlı bir değerlendirmeyi içermektedir. Kur’an ve Sünnet’teki makâsıd in-celemeleri ile başlayan makale, makâsıdın tarihçesi ve hukuki gelişimini ele al-maktadır. Ayrıca, makâsıdın geçmişte göz ardı edilmesi ve günümüzde tekrar ilgi görmesinin nedenleri üzerinde durmaktadır. Bunlara ek olarak makalede, Usûl-i fıkıh ile makâsıd arasındaki ilişki, makâsıdın tasnifi ve yeni meselele-re uygulanma yöntemleri de tartışılmaktadır. Yomna Helmy tarafından kale-me alınan “İslami Modernizmden Otoriteryenizmin Kuramlaştırılmasına: Abdullah bin Beyye ve Makâsıd Söyleminin Siyasallaştırılması” başlıklı ikinci makalede ise modernist Müslüman reformcuların makâsıdü’ş-şerîa kavramını genişletme çabaları incelenmektedir. Ayrıca, Şeyh Abdullah bin Beyye’nin bu kavramı, BAE’nin politikaları bağlamında kullanma biçimi ele alınmakta ve makâsıdın ideolojik yorumlarla nasıl sonuç odaklı hale gelebileceği konusu ir-delenmektedir.
Exploring engagement and flow experiences in collective music practices of amateurs, students and professional musicians
Authors: Toni Anderson , Araújo Rosane Cardoso de
Published: October 2024

The purpose of this research was to explore the engagement and flow experiences in collective music practices of amateurs, students, and professional musicians. Based on the first phase of a sequential explanatory mixed methods research design, this article presents the results obtained from an online survey with 102 participants from diverse collective music practices. The results obtained were analyzed using both descriptive and inferential statistics. Some statistically significant differences were observed in the interaction between participant groups (amateurs, students, and professionals) and dimensions of engagement (behavioral, cognitive, and emotional), as reported in the results and discussed in relation to the literature. In summary, we were able to explore and discuss some aspects of engagement, motivation, and flow experience based on the participants’ responses regarding their collective music practices.
PEMANFAATAN TEKS SASTRA SEBAGAI UPAYA PENGUATAN PENDIDIKAN KARAKTER
Authors: Karim Ahmad Abdul , Hartati Dian
Published: October 2024

Pemilihan bacaan sastra yang tepat dapat menjadi salah satu sandaran utama dalam proses pengembangan karakter. Mengikuti arus Revolusi Industri 4.0 karya sastra dipublikasikan dalam bentuk fisik dan digital berbasis aplikasi. Tokoh-tokoh imajiner dalam karya sastra menjadi contoh nyata bagi pengembangan karakter peserta didik. Penguatan moral dan nilai-nilai agama dalam karya sastra perlu disampaikan agar anak bangsa tidak kehilangan jati diri. Penelitian ini dilakukan untuk menyokong pendidikan agar anak bangsa cerdas berkarakter. Penelitian menggunakan metode kualitatif deskriptif. Memanfaatkan teks sastra dengan menelaah kumpulan puisi Jalan Hati Jalan Samudra karya D. Zawawi Imron, kumpulan puisi To Kill the Invisible Killer karya FX Rudy Gunawan dan Afnan Malay, kumpulan cerpen
 
Karpet Merah Wakil Presiden karya Abdul Kadir Ibrahim, dan naskah drama Sumur Tanpa Dasar karya Arifin C. Noer. Teknik pengumpulan data memanfaatkan teknik membaca, mencatat, dan studi pustaka terhadap narasi cerita, perilaku tokoh, dan sekuen dialog maupun monolog yang menggambarkan nilai pendidikan karakter. Data penelitian yang terkumpul, kemudian diolah melalui beberapa tahapan, meliputi: reduksi data berupa pemilihan data-data yang sesuai dengan topik penelitian, penyajian data melalui pemaknaan data-data terpilih, serta penarikan simpulan berupa tafsir data penelitian. Hasil analisis menunjukkan ketiga genre sastra memiliki nilai-nilai dalam mewujudkan penguatan pendidikan karakter di antaranya: religius, peduli lingkungan, cinta tanah air, dan nasionalis. Temuan nilai pendidikan karakter menunjukkan bahwa teks sastra penting dibaca sebagai upaya penguatan karakter di era maraknya kasus kemerosotan karakter.
Starship – największa i najmocniejsza rakieta zbudowana przez człowieka
Authors: Juchacz Adam
Published: October 2024

W artykule przedstawiono rakietę nośną Starship. Zawarto dane techniczne, planowane modyfikacje mające na celu ulepszenie konstrukcji. Opisane są zarówno wady, jak i zalety największej rakiety świata oraz wymagania, z jakimi się zmaga firma SpaceX. Krótko wspomniano o planach Elona Muska, mecenasa programu SpaceX, na podbój kosmosu w najbliższych latach.
Just Culture w Ośrodku Szkolenia Lotniczego PANS w Depułtyczach Królewskich
Authors: Małek Albert
Published: October 2024

W artykule opisano problematykę wdrożenia i stosowania metody Just Culture w Ośrodku Szkolenia Lotniczego Państwowej Akademii Nauk Stosowanych w Depułtyczach Królewskich. Przedstawiono i omówiono statystyki zdarzeń lotniczych, które miały miejsce w trakcie szkolenia studentów w latach 2011–2023. Artykuł powstał na podstawie pracy magisterskiej autora, zatytułowanej Błędy w procesie szkolenia lotniczego pilotów a ocena ryzyka wystąpienia wypadku lotniczego na podstawie analizy raportów polskich i zagranicznych komisji badań wypadków lotniczych, obronionej w Państwowej Akademii Nauk Stosowanych w Chełmie w czerwcu 2024 r.
Penggunaan Polietilena Glikol 6000 sebagai Flokulan Lipoprotein pada Serum Lipemik dalam Analisis Trigliserida
Authors: Wiranto Rezky Ramadhani Putri , Momuat Lidya Irma , Suryanto Edi
Published: October 2024

ABSTRAK
Penelitian ini bertujuan untuk menentukan konsentrasi Polietilena Glikol (PEG) 6000 yang optimum dalam mengendapkan lipoprotein pada serum lipemik. Tahapan penelitian meliputi preparasi sampel, pembuatan larutan PEG berbagai konsentrasi (1%, 4%, 6% dan 8%), persiapan kuning telur ayam, puyuh, dan bebek untuk modifikasi serum lipemik, pembuatan serum lipemik yang dimodifikasi kadar trigliserida (300, 400 dan 500 mg/dL), dan penambahan PEG dalam serum lipemik. Hasil penelitian menunjukkan bahwa kadar trigliserida tertinggi terdapat pada telur ayam (2246 mg/dL), diikuti puyuh (2140 mg/dL) dan bebek (2015 mg/dL). Kadar trigliserida serum murni yang digunakan sebesar 159,6 mg/dL meningkat ketika dimodifikasi dengan penambahan kuning telur. Kadar trigliserida serum yang telah dimodifikasi terdiri atas 3 kelompok yaitu: 313,67 – 355,33 mg/dL, 419 – 454,33 mg/dL, dan 518,33 – 558,67 mg/dL. Pada kadar trigliserida 300 mg/dL konsentrasi optimal 4%, pada kadar trigliserida 400 mg/dL konsentrasi optimal 6% dan pada kadar trigliserida 8%.
Kata Kunci: Trigliserida, serum lipemik, polietilena glikol 6000
 
ABSTRACT
This study aimed to determine the optimum concentration of Polyethylene Glycol (PEG) 6000 in precipitating lipoproteins in lipemic serum. The stages of research included sample preparation, preparation of PEG solutions of various concentrations (1%, 4%, 6% and 8%), preparation of chicken, quail, and duck egg yolks for lipemic serum modification, preparation of lipemic serum modified triglyceride levels (300, 400 and 500 mg/dL), and addition of PEG in lipemic serum. The results showed that the highest triglyceride levels were found in chicken eggs (2246 mg / dL), followed by quail (2140 mg / dL) and duck (2015 mg / dL). The pure serum triglyceride levels used of 159.6 mg/dL increased when modified with the addition of egg yolk. Modified serum triglyceride levels consisted of 3 groups, namely: 313.67 – 355.33 mg / dL, 419 – 454.33 mg / dL, and 518.33 – 558.67 mg / dL. At triglyceride levels of 300 mg/dL the optimal concentration is 4%, at triglyceride levels of 400 mg/dL the optimal concentration is 6% and at triglyceride levels of 8%.
Keywords:. Triglycerides, lipemic serum, polyethylene glycol 6000
Low ohmic loss hybrid gap plasmonic waveguide with miniaturized metal-dielectric interface
Authors: Thi Trinh Ha , Dang Hieu Van , Van Nguyen Duong , Manh Chu Hoang
Published: October 2024

This study proposes a hybrid gap plasmonic waveguide (HGPW) with a miniaturized metal-dielectric interface for enhancing the propagation length of surface plasmon polaritons and to achieve an effective interaction between the hybrid gap plasmon (HGP) mode and the operating medium. The metal layer in the interface, having a good lightwave guiding property but unstable to the operating medium, is protected by a low-loss optical propagation SiO2 dielectric layer instead of a metallic layer that causes ohmic loss. The propagation length of the HGPW can be enhanced more than two orders of magnitude compared to that of the HGPW using an Au metallic protecting layer, with an expense in the mode area increase of 2.7 times. The propagation length of the device can be tuned more than 100% by modifying the refractive index of the medium surrounding the interface. This study is useful for developing active plasmonic devices such as optical modulators and sensing elements.
Constitutional Review of Platform Workers’ Labor Rights
Authors:   Korean Constitutional Law Asscciation, Kim Jong-Hyun
Published: October 2024

Platform work has emerged and spread due to fundamental changes in the economy and labor environment and the avoidance of direct employment. Platform work refers to “paid labor provided through a digital platform that brokers work to an unspecified number of people and coordinates the labor provision process through algorithms,” and its types include local-based and web-based.
The right to work, a fundamental right under the Constitution, is embodied in individual labor relations laws, including the Labor Standards Act, and the recognition of worker status under the Labor Standards Act is the gateway to exercising the right to work in practice. However, platform workers were not envisioned when the Constitution stipulated the right to work and the Labor Standards Act was enacted, and it is not easy for them to be recognized as employees under the Labor Standards Act based on the current Labor Standards Act and case law.
Platform workers are essentially the same as traditional employees in that they earn their livelihood through paid labor, and therefore need constitutional protection. However, there are a number of other aspects that distinguish platform workers from traditional employees that need to be considered.
The spectrum of platform workers is very diverse, and it may be appropriate to vary the approach according to the degree of dependency. Platform workers with strong dependency, which is a marker of traditional workers, should be recognized as employees under the Labor Standards Act, while platform workers with weaker dependency should be categorized as a third type.
However, it is not appropriate to include them in the category of ‘persons in special types of employment’, which require full-time and permanent status and are gradually being replaced by the concept of labor providers. Regardless of their legal status, platform workers should be guaranteed minimum universal rights as workers.
Use of dual-energy x-ray absorptiometry for body composition in chronic disease management
Authors: Kim Tae Nyun
Published: October 2024

As individuals age or contend with chronic diseases, shifts in body composition often emerge, characterized by a loss of muscle mass and an increase in fat mass, even among those with stable body weight. Both obesity and sarcopenia are key drivers of frailty, disability, and heightened morbidity and mortality. The simultaneous decline in skeletal muscle and accumulation of visceral fat can work synergistically, magnifying their detrimental effects on physical function and metabolic health. Today, dual-energy x-ray absorptiometry (DEXA) is widely recognized as one of the most versatile imaging techniques for assessing not only osteoporosis but also sarcopenia and obesity. Whole-body DEXA facilitates comprehensive analysis, offering detailed insights into fat mass, non-bone lean mass, and bone mineral content at both total and regional levels. DEXA is highly valued for its accuracy, reproducibility, speed, affordability, and low radiation exposure. Furthermore, advancements in DEXA technology and software now allow for precise estimation of visceral adipose tissue. This review underscores the clinical applications of whole-body DEXA, focusing on the use of muscle and fat mass indices in diagnosing low muscle mass, sarcopenia, and sarcopenic obesity, aligned with the latest research and guidelines.
Paradigm shift from glucocentric to organ protection for the management of hyperglycemia in patients with type 2 diabetes
Authors: Lee Jie-Eun , Won Jong Chul
Published: October 2024

The UK Prospective Diabetes Study was the first study to investigate the effectiveness of glycemic control in patients with type 2 diabetes. Since then, many studies have evaluated the impact of intensive glycemic control on diabetes-related morbidities and mortality. The results of these studies were intended to change the paradigm for controlling glycated hemoglobin and preventing diabetes-related complications, but the beneficial outcomes were limited to microvascular diseases rather than diabetes-related cardiorenal diseases and deaths. This has emphasized the need for comprehensive management of other risk factors (hypertension, dyslipidemia, renal failure, etc.) in addition to hyperglycemia to prevent atherosclerotic cardiovascular diseases and end-stage renal disease in type 2 diabetes. Since 2008, clinical trials to demonstrate cardiovascular safety have shown a beneficial effect of sodium-glucose transporter 2 inhibitors or glucagon-like peptide-1 receptor agonists on macrovascular or renal complications in patients with type 2 diabetes. Recently, major societies around the world including the Korean Diabetes Association, have shifted the goals of diabetes management from the typical glucocentric view to cardiorenal outcome-oriented (organ protection) care, which has been widely accepted and is gradually applied to primary care.