bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Study on Nonlinear Position Control of Micro-Hand Considering Hysteresis Characteristics
Authors: Morohoshi Yuuki , Bu Ni , Deng Mingcong
Published: June 2024

In recent years, the demand for robots has increased in Japan due to labor shortages. In addition to previous demands, they are required to handle a variety of shapes and strengths. For this reason, soft actuators are to be in the spotlight. The micro-hand is one such example, a pneumatically operated actuator made of silicone rubber. It has hysteresis characteristics due to the elasticity of rubber and the effect of the compressed air. However, some previous studies designed a control system to control the position of the micro-hand’s tip without considering them and conducted experiments to confirm its effectiveness. Other studies designed control systems with taking the hysteresis characteristics into account, but did not confirm their effectiveness in experiments. This paper proposed a control system that eliminates the hysteresis characteristics using a hysteresis compensator and confirms its effectiveness through experiments.
Comparative analysis of the monitoring of inflammatory biomarkers in pregnant women with prelabour rupture of membranes
Authors:   V.I. Vernadskiy Crimean State University, Simferopol, Russian Federation, Kondratyuk D.V. , Sulima A.N. ,   V.I. Vernadskiy Crimean State University, Simferopol, Russian Federation, Babich T.Yu. ,   V.I. Vernadskiy Crimean State University, Simferopol, Russian Federation
Published: June 2024

Aim: to qualitatively improve the approach to timely detection of purulent septic compli-cations in pregnant women with a long anhydrous interval in the setting of prelabour rupture of membranes (PROM). Patients and Methods: this prospective single-center study involved 80 pregnant women at 32–34 weeks of gestation. Group 1 included 40 pregnant women with PROM and group 2 included 40 pregnant women with threatened preterm labor. Serum levels of presepsin (PSP), leukocyte count, and C-reactive protein (CRP) were measured at admission and after 24 and 48 hours. A somatic, gynecological, and obstetric history was also studied Results: pregnant women with PROM exhibited an aggravated somatic, gynecological, and obstetric history, which could be a prerequisite for purulent septic complications. Elevated PSP levels (≥300 pg/mL) were observed in 23 (57.5%) women in group 1 and 2 (5%) women in group 2. Chorioamnionitis developed in 7 (17.5%) women in group 1 with PSP levels ≥500 pg/mL and two or more clinical signs. Leukocytosis and elevated CRP were detected in 3 (7.5%) and 5 (21.7%) women, respectively. No cases of postpartum endometritis were reported. Mean-while, in group 1, partial abdominal wound dehiscence after C-section was found in 4 of 11 (36.4%) women and partial perineal wound dehiscence was found in 2 of 40 (5%) women. All complications were observed in women with high PSP at admission. No complications were de-tected in group 2. Conclusion: elevated PSP can be considered as a predictor for purulent septic complica-tions in women with PROM. This marker can be used as an additional criterion for revising treatment and choosing term and mode of delivery. PSP level reflects early manifestations of pu-rulent septic complications more quickly than CRP level and leukocyte count. KEYWORDS: prelabour rupture of membranes, preterm birth, chorioamnionitis, markers of inflammation, presepsin, C-reactive protein, strategy FOR CITATION: Kondratyuk D.V., Sulima A.N., Babich T.Yu. Comparative analysis of the monitoring of inflammatory biomarkers in pregnant women with prelabour rupture of membranes. Russian Journal of Woman and Child Health. 2024;7(2):150–154 (in Russ.). DOI: 10.32364/2618-8430-2024-7-2-10.
Secondary messengers of insulin in polycystic ovary syndrome and its pathogenically-oriented treatment
Authors:   V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russian Federation, Ivanov I.A. , Tabeeva G.I. ,   V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russian Federation, Smetnik A.A. ,   V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russian Federation
Published: June 2024

The study of new mechanisms of insulin resistance (IR) formation is a prerequisite for the development of new pathogenetically-oriented therapies of polycystic ovary syndrome (PCOS) and the treatment of associated disorders of carbohydrate and fat metabolism. Important regulators of insulin signaling are its secondary messengers, namely myo-inositol (MI), D-chiro inositol (DCI), and α-lipoic acid (ALA), which mediate various effects of insulin. Consequently, MI induces cellular glucose uptake and enhances glycolysis, whereas DCI stimulates glycogenesis and regulates energy metabolism. The physiologic MI/DCI ratio for oocytes is crucial for oogenesis, steroidogenesis, and the regulation of the menstrual cycle. ALA provides insulinomimetic effects through the induction of glucose translocation into cells, antioxidant and anti-inflammatory effects on pancreatic cells, and the suppression of lipolysis and the reduction of triglyceride levels. A wealth of evidence from large-scale studies, meta-analyses, and systematic reviews has demonstrated the crucial role of MI, DCI, and ALA in the treatment of PCOS. A multitude of studies, including those conducted by the authors, have demonstrated that the administration of these substances results in a reduction in HOMA, levels of glucose, insulin, triglycerides, low-density lipoproteins, and body mass index. This, in turn, has been shown to restore ovulation and the menstrual cycle in women with PCOS, as well as to reduce the risk of cardiometabolic diseases, including diabetes and nonalcoholic fatty liver disease KEYWORDS: polycystic ovary syndrome, inositol, myo-inositol, D-chiro inositol, alpha-lipoic acid, insulin resistance, fat metabolism, nonalcoholic fatty liver disease FOR CITATION: Ivanov I.A., Tabeeva G.I., Smetnik A.A. Secondary messengers of insulin in polycystic ovary syndrome and its pathogenically- oriented treatment. Russian Journal of Woman and Child Health. 2024;7(2):135–143 (in Russ.). DOI: 10.32364/2618-8430-2024-7-2-8.
Vitamin C: Overview of drugs and dietary supplements and analytical methods for determining its content
Authors: Krukowski Sylwester , Biały Jakub , Adamczyk Aleksandra , Kowalewska Aleksandra
Published: June 2024

Vitamin C is one of the most well-known and most frequently used substances found in various pharmaceutical preparations. Patients consider it as a safe compound with multidirectional beneficial effects, while chemists have been presenting various possibilities for its determination for many years. The aim of this review is to present the current range of drugs and dietary supplements containing vitamin C available in Poland, divided into appropriate categories, taking into account doses, forms and other ingredients. The second goal is to summarize the main analytical methods for determining the content of ascorbic acid. A review of available preparations showed disproportions between a small group of drugs and a very large group of dietary supplements, which turned out to be significantly diversified in various aspects. In turn, the review of analytical methods clearly indicates the dominant share of spectroscopic ones and the fact that researchers focus primarily on improving basic, commonly known techniques.
Application of dominance-based rough set approach in vaginal dosage forms optimization
Authors: Pałkowski Łukasz , Karolak Maciej , Kubiak Bartłomiej , Błaszczyński Jerzy , Słowiński Roman
Published: June 2024

The objective of this study was to identify cause-effect relationships between various data related to vaginal dosage forms, such as composition, process parameters (condition attributes), and quality (decision attribute), by employing a mathematical data mining approach that utilizes Rough Set Theory. The analyzed data were organized in a tabular format known as an information system. Objects were labeled as rows, and attributes as columns, with attribute-values serving as entries. Each formulation was described by its condition attributes (composition, manufacturing process, quality parameters), while the decision attribute indicated the quality of the formulation (expressed as pH after vaginal tablet or pessary application) and enabled classification as correct/incorrect or good/bad. The decision rules generated by the study provide insights into relationships between the condition attributes and the decision attribute. They highlight the importance of LA content and LA:polymer ratios in maintaining physiological pH. Additionally, the findings confirm the favorable impact of chitosan on pH regulation while indicating that the type of formulation (pessaries or tablets) does not significantly affect the classification of objects. Decision rules with high confirmation coefficients of condition attributes can help developing optimal formulations. These decision rules contain essential information that describes the cause-and-effect relationships and are free of redundant information. They form the basis for understanding and optimizing processes, and establishing a design space.
In vitro study of momordin Ic in improving atopic dermatitis by regulating claudin-1/MyD88 and targeting NLRP3
Authors: Guo Ying , Wang Litao , Zhang Jing , Jing Tingting , Fu Lefan , Miao Guoying
Published: June 2024

Atopic dermatitis (AD) is a non-infectious inflammatory skin disease characterized by persistent itching of the skin, and it has become a global health problem with increasing incidence and complex pathogenesis. Momordin Ic (MMI) is a triterpenoid saponin that has anti-inflammatory effect and may play an effective role in the treatment of AD. To explore the molecular mechanism of MMI in relieving AD, and to provide some experimental data for the clinical application of MMI in AD. The mRNA levels of IL-33, IL-4 and NF-κB were detected by RT-qPCR. The protein expressions of Filaggrin, Claudin-1, MyD88 and NLRP3 were detected by western blotting. Transepithelial/transendothelial electrical resistance (TEER) method was used to detect the tight-junction function of HaCaT cells. Molecular docking experiment was performed on CB-DOCK2 to predict the binding of MMI and NLRP3. MMI reversed the decrease of filaggrin protein expression and intercellular resistance in HaCaT cells induced by TNF-α and IFN-γ. In addition, MMI reversed the increase in IL-33 and IL-4 mRNA levels in HaCaT cells treated with TNF-α and IFN-γ. In addition, MMI promoted the expression of Claudin-1 and inhibited the expression of MyD88 and NLRP3. In addition, the molecular docking results showed that MMI and NLRP3 had interaction sites. MMI improved the inflammatory response of HaCaT cells by regulating the expression of Claudin-1/MyD88 and targeting NLRP3, which may act a positive role in relieving AD.
Development and validation of analytical method for determination of elemental impurities in micafungin for injection
Authors: Ozlem Gundogdu Sena , Turhan Seda , Ozel Babacanoglu Aynur , Catak Tugce , Sahin Adem
Published: June 2024

Elemental impurities contained in drug product create a risk for patients and potential toxic elemental impurities defined and classified in Guideline for Elemental Impurities Q3D(R1). Among the finished product dosage forms, parenteral products could be critical for elemental impurities because elemental impurities are given directly to systemic circulation. For determination of elemental impurities, one of the most frequently used methods is inductively coupled plasma–mass spectrometry (ICP–MS). In this study we aimed to develop and validate an ICP-MS method for determination of 24 elemental impurities in micafungin powder for concentrate for solution for infusion manufactured in our own facility. Results showed that correlation coefficients of calibration curves were found higher than 0.99 for all elements in determined ranges and all validation parameters were achieved successfully. With this method, all 24 elemental impurities can be tracked throughout the shelf life of the product.
HPLC-ESI-QTOF-MS/MS Analysis of Artemisia cina Leaves Aqueous Extract and Flavonoid Isolation Using High-speed Countercurrent Chromatography
Authors: Tshunungwa Sonwabiso , Alsharif Bashaer , Bekezhanova Tolkyn , Begalinovna Bazhykova Kulzada , Kukula-Koch Wirginia , Boylan Fabio
Published: June 2024

Artemisia cina Berg ex Poljakov, a shrubby plant endemic to the semi-arid areas of Kazakhstan, has as a long history of being used in traditional medicines as an antitumour, antifungal and anthelmintic agent. In a preliminary study carried out on different methodologies to produce aqueous extracts of A. cina it was seen that a simple aqueous extract of A. cina (as in an infusion of the plant) had the strongest anti-SARS-CoV-2 activity. The profiling of this aqueous extract was performed using Liquid Chromatography-Electrospray Ionization-Quadrupole-Time-of-Flight Mass Spectrometry (LC-ESI-Q-TOF-MS) while High-Speed Countercurrent Chromatography (HSCCC) and a Sephadex LH-20 column were utilised to isolate and purify the extract in ethyl acetate obtained from the aqueous extract. Nuclear Magnetic Resonance (NMR) was used for structural elucidation. The flavonoid spinacetin-7-O-glucoside was found to be one of the main compounds present in the A. cina aqueous extract. With the emergence of the COVID-19 pandemic and the frequency in which new COVID strains occur, the demand for drugs with anti-SARS-CoV-2 activity is at an all-time high. Flavonoids and artemisinin identified by LC-MS in this extract are hypothesised to be the key compounds behind the anti-SARS-CoV-2 activity of the aqueous extract, however this needs to be further tested and explored.
Redefining Office Interactions for a Thriving Employee Experience
Authors: Patrício Rui , Nickel Francine
Published: June 2024

While much of the current debate focuses on the hybrid work model, little attention has been given to what type of work tasks and dynamics companies should outline when employees are called to work in the office space. Designing meaningful face-to-face encounters becomes essential to engage employees and make in-person work more meaningful and effective for both parties. Thus, the paper explores how companies can engage employees in the post-pandemic changing office space environment. Building on theories of employee socialization and employee experience co-design, it identifies gaps and opportunities for developing meaningful encounters in the office space and cultivating a positive work culture. A case study was conducted in an aerospace engineering company with a hybrid working model to provide practical insights. The study employed an exploratory research design, incorporating qualitative methods such as in-depth interviews, observations, and a co-design session with employees. Content analysis was used to categorize areas of employee experience in the office space that needed to be redesigned positively. The results of the study confirm that the co-design of socialization, adding creativity, and fostering serendipitous encounters in the workspace improves the employee experience, strengthening the ties with the company, connecting with their colleagues, and helping in the well-being and sense of belonging. This translates into positive gains for the organization that wants to define a hybrid work model, giving flexibility to employees without losing the human bond that the face-to-face visit to the workplace provides through meaningful experiences. Involving employees in the collaborative process of redesigning socialization and interaction practices, organizations are committed to valuing individual perspectives and needs, resulting in a more relevant and satisfying employee experience.
Development of the method for ensuring quality paint coating during painting and body work in car service systems
Authors:   Cherkasy State Technological University, Tarandushka Ludmyla , Tarandushka Ivan ,   Cherkasy State Technological University
Published: June 2024

A technique has been developed that makes it possible to determine the quality of paintwork in car service systems. This technique is based on the determination of important parameters that describe the technological process of applying a paint coating. Based on the Farrar-Glober algorithm, among the 16 parameters of the system, 8 independent ones affecting the quality of the coating were singled out and their degree of importance was determined. Isolation of independent parameters contributed to the construction of an adequate model for predicting the quality of the paint coating. This makes it possible to organize competitive car service systems for the restoration of vehicle paint coatings. Thanks to the proposed methodology, it becomes possible to provide the organizational and technological structure of production with the necessary equipment and technologies. The efficiency of car service enterprises increases, costs decrease. This technique can also be used to predict the quality of the paint coating, taking into account the important factors of this process. When implementing the proposed methodology, a mathematical model was developed for determining the quality of the paint coating from the factors affecting this process. The average quadratic deviation of the model values of the quality level of the obtained paint coating from the statistical values was =0,0008, which confirms the adequacy of the model. So, it can be concluded that the obtained linear model describing the level of quality of the applied paint coating can be used to predict the quality of the paint coating, knowing the 8 input parameters of the system, namely: - lighting of the dyeing chamber; - polymerization furnace (principle of operation); – method of paint feding; – compressed air source capacity; – amount of diluent; - temperature of the applied material; - distance from the spray gun to the base; - the number of applied material layers.
The evolution of students’ digital skills as a source of transformation of the learning process in general and vocational education organizations
Authors: Zakharova V. A. , Egorov K. B. , Skornyakova A. Yu. , Polovina I. P.
Published: June 2024

Mastering digital skills is one of the requirements of the modern world. Digital skills are usually divided into professional and user skills. Professional skills are formed in the systems of secondary, higher, and additional vocational education. User skills can be mastered in the system of general education. The boundaries between professional and user digital skills are increasingly blurred, and, therefore, it is necessary to rethink the requirements for the results of professional and general education in terms of the formation of digital skills.

The material of the described study were the results of an independent assessment of digital skills of 8th grade students commissioned by the Department of Education of the Perm City Administration. The content of the independent assessment was designed considering modern international studies on the quality of education as well as primary idea that the digital literacy of each user promotes the building of a conscientious, fair, and secure digital community. The article has been prepared as an interdisciplinary publication that integrates aspects of general and professional pedagogy, methods of teaching mathematics and informatics, and the technical aspect of using software for processing large amounts of data.

The study revealed new opportunities for the formation and assessment of digital skills of students of general educational organizations and, as a consequence, formulated recommendations for the training of teachers of mathematics and informatics both in terms of the disciplines content and teaching methods.
Using the case method for teaching information security students in open source intelligence
Authors: Nazarov D. M. , Simbirtsev R. A. , Salalayko D. P.
Published: June 2024

In today’s world, information is one of the most valuable resources, and the ability to process it becomes especially important in the process of training specialists of various profiles, including specialists in the field of information security. OSINT (Open Source Intelligence) is a technology for collecting and analyzing information about a person, organization, event or phenomenon from open sources. This powerful tool for the effective processing of open data is of particular interest for the formation of vocational competencies of students studying in the direction of training 10.03.01 “Information Security”.

The authors of the article explore and test the principles of the case method as an effective method of teaching OSINT technologies. The case method, or the method of situational analysis, involves solving real-life problem situations and practical examples for deep understanding and mastering of the material. The article presents in detail specific cases on OSINT that can be used to teach students of “Information Security”. These tasks contribute to the development of critical thinking, the formation of analytical skills, and the ability to apply the acquired knowledge in practice.

The article emphasizes the importance of feedback as a critical element of learning, which allows to customize and adapt the learning process according to students’ needs and level of mastery of OSINT technologies. In addition, the authors emphasize the importance of the multidisciplinary approach in OSINT training, including not only the study of technical aspects but also legal and ethical norms. The analysis of case method principles and case studies presented in the article will be useful for instructors developing OSINT training courses, as well as for specialists interested in modern methods and approaches to training in the field of information security.
Using the gaming chatbot to develop algorithmic and logical thinking skills
Authors: Varnavsky A. N.
Published: June 2024

The use of special computer games in classes increases student engagement and maintains their interest in learning, including learning computer science. Due to the logical and rational nature of solving programming problems, logic games and puzzle games that develop cognitive abilities, logical and algorithmic thinking are well suited for teaching computer science. Considering the popularity of Wordle puzzle game and the fact that word games are very effective for developing cognitive abilities, a gaming chatbot with puzzle tasks organized according to Wordle principles was developed for learning computer science and programming. The aim of the article is to investigate the effect of the developed gaming chatbot on students’ algorithmic and logical thinking.

The study involved 3rd year undergraduate students of the educational program “Information Systems and Technologies”, Faculty of Information Technologies, Moscow Polytechnic University. The students used the gaming chatbot outside of class for 10 days and completed surveys before and after use. The analysis of the students’ surveys showed the impact of this gaming chatbot on the activation of memory, attention and to a greater extent logical thinking of the students, as well as on assessing students’ perception of the complexity of programming, their own knowledge of programming languages and logical thinking skills.

The results of the study expand current ideas regarding the use of gaming chatbots and Wordle-type puzzle tasks in teaching computer science and programming. The presented gaming chatbot will help to increase students’ interest in classes, students’ involvement in the learning process, and ensure the development of their cognitive abilities.

The conclusions of the article may be of practical interest to informatics and programming teachers. They contribute to the development of the direction of building gaming chatbots, as well as the use of word puzzles for teaching computer science.
Management of Severe Odontogenic Infection: Case Report
Authors: Davit Taufiq Julian , Nurwiadh Agus , Labitta Kalia
Published: June 2024

Introduction: Submandibular abscess caused by odontogenic infection is a frequent case, but in some cases it can be deadly because it spreads and blocks the respiratory tract. The purpose of this study is to described a case of fatal submandibular abscess with early management effective.

Case report: A 46 years old male patient with complaints of left submandibular, submental, left buccal and left temporal swelling. History of systemic disease was denied. Patients complain of tightness and changes in voice. Therapeutic intervention consists of Covid- 19 screening, complete blood lab, abscess decompression under local anesthesia, left submandibular and submental through and through drainage incisions, drainage incisions in the buccal area as well as multiple tooth extractions and penrose drain applications both extra oral and intra oral carried out in general narcotics, and swab culture sensitivity and antibacterial resistance tests were carried out. The antibiotics given were ceftriaxone and metronidazole. The patient was followed up and showed good general condition and decreased swelling.

Conclusion: Odontogenic infections that spread and block the respiratory tract can be deadly. The abscess can expand even more quickly during preparation for surgery. Decompression of an abscess can be an effective treatment so that the abscess does not spread further and can reduce the risks of the operation being carried out. The management carried out must be complete and comprehensive, in this case a drainage incision and extraction of the focal infection are carried out. Initially, broad spectrum antibiotics can be given, but if the results of the antibacterial resistance test are obtained, it is very important to give more specific antibiotics. Submandibular abscess with poor prognostic consequences obstructed respiratory tract must be treated immediately and closely monitored.

Keywords: Abscess, Odontogenic infection, Decompression
Characteristics of Bacterial Patterns and Antibiotic Sensitivity in Patients with Odontogenic Cervical Necrotizing Fasciitis
Authors: Davit Taufiq Julian , Sylvyana Melita , Yusuf Harmas Yazid
Published: June 2024

Necrotizing fasciitis is an aggressive infection that influences superficial fascia and damages the overlying soft tissue. The infection usually happens in the fascia of the body and extremities; however, this condition can also happen in the maxillofacial area. This infection usually occurs in patients with chronic conditions, such as patients with diabetes mellitus or patients with blood vessel disease.
A pilóta nélküli légi járművek meghajtási rendszerei
Authors: Békési Bertold , Gajdács László , Knapiczius Attila
Published: June 2024

A pilóta nélküli légi járműveket (UAV) megjelenésük óta számos kérdés övezi. Kétség sem fér hozzá, ezen eszközök használata megreformálta a repülést nemcsak katonai, de a civil felhasználást tekintve is. Nap mint nap számos olyan terület jelenik meg, amely hatékony működéséhez hozzájárulhat meglétük, és a 21. század kielégítő technológiai fejlettsége lehetőséget biztosít arra, hogy hatásfokukat kedvező irányba növelve új kihívások elé állíthassuk ezeket a segédeszközöket. Az ehhez szükséges teljesítmény jelentősen összefügg azzal, hogy milyen meghajtási technológiát választunk, az erre irányuló kutatások és fejlesztések így az egyik legfontosabb irányt képezik. A cikk a lehetséges meghajtási rendszereket tárgyalja, működési elvüket legfontosabb jellemzőikkel. Fontos kiemelni, milyen elvárásokat követelnek meg az adott felhasználási területek, így ezek alapján szükséges kiválasztani a megfelelő szerkezeti felépítést. Figyelembe kell venni továbbá a jövőben megjelenő potenciális kihívásokat. Egyre tágabb teret kap a tisztán elektromos meghajtás, nemcsak földön, de a levegőben is, így a rendszerek energiaellátása és annak iparága is. A cikk igyekszik átfogó nézetet adni és több szemszögből is összehasonlítani az UAV-k meghajtási rendszereit azok minden előnyével és hátrányával.
A eficiência e celeridade nas compras públicas: um estudo sobre os principais fatores de influência
Authors: Maciel Gustavo , Del Grossi Mauro Eduardo , Souza Júnior Celso Vila Nova , Da Silva Júnior Luiz Honorato
Published: June 2024

The principle of efficiency must be a constant obstinacy of the public administration. This paper investigated the variables that impact the efficiency of public purchases, focusing on the celerity, specifically in the internal phase named “Pregão” modality, through a quantitative approach. This is a case study of forty-nine processes that occurred between 2020 and 2021 within the Ministry of Justice. Through linear regression, with the dependent variable representing the total time of the internal phase, the variable representing the time for drafting the Terms of Reference increases the duration of the process, while the duration of the Preliminary Technical Study reduces the bidding period. In logistic regression, the time spent preparing the Terms of Reference had a positive impact on the probability of generating items not awarded, while the time spent preparing the price survey reduced this probability. In conclusion, it is pointed out that the administration's opportunity to reduce the time of development of the Terms of Reference and to give greater attention to the Preliminary Technical Study and price research.
Automated Answersheet Evaluation using BERT
Authors: Sudarshan Joshi  , Akshay Bachkar  , Omkar Awaje  , Rhutuj Bhoir  , Kimaya Urane
Published: June 2024

The research introduces an innovative approach to automating answersheet evaluation. The methodology combines the power of BERT (Bidirectional Encoder Representations from Transformers) and cosine similarity within the realm of natural language inference, allowing for a sophisticated analysis of student responses. BERT’s contextual embeddings provide a deep understanding of the semantic nuances present in answers, while cosine similarity serves as a robust metric for measuring the semantic alignment between student responses and ideal answers. Natural language inference enriches the model’s capacity to decipher inferential relationships, enabling a more nuanced eval- uation that goes beyond surface-level language comprehension. Augmented by natural language inference, our model adeptly captures inferential relationships, enhancing its comprehension of nuanced contextual nuances. The results underscore its potential to redefine automated grading paradigms, offering educators a powerful tool for efficient and unbiased assessments of student answers, thereby contributing to the advancement of educational technology and assessment methodologies.
Spectrophotometric Determination of L-Ascorbic Acid in Pharmaceuticals based on Its Oxidation by Potassium Peroxydisulfate in the Presence of Ag(I) as a Catalyst
Authors: Amra Selimović  , Mirsad Salkić  , Halid Junuzović
Published: June 2024

New accurate, precise, and sensitive spectrophotometric method were developed for the assay of L-ascorbic acid in pharmaceutical preparations. The determination of L-ascorbic acid was based on its oxidation by potassium peroxydisulfate in the presence of Ag(I) as a catalyst. The molar absorptivity of the proposed method was found to be 8.61 · 103 L mol-1 cm-1 at 248 nm. Beer's law was obeyed in the concentration range of 0.46–20.0 μg mL–1. Other compounds commonly found in vitamin C and multivitamin products did not interfere with the determination of L-ascorbic acid. The proposed method was successfully applied for the determination of L-ascorbic acid in pharmaceutical formulations. The results obtained with the proposed method showed good agreement with those given by the titrimetric method using iodine.
UJI PERFORMANSI MESIN OTTO EFI KAPASITAS 125 CC BERBAHAN BAKAR CAMPURAN PERTAMAX - ETANOL96 DENGAN PENGGUNAAN BLOWER SEBAGAI SUPERCHARGER ELEKTRIK
Authors: Ginting Josia , Nasution Halim
Published: June 2024

Berbagai macam peningkatan efisiensi untuk motor bakar sudah dilakukan, namun belum semua pengembangan dilakukan pada motor bakar berkapasitas kecil seperti pada sepeda motor padahal penggunaan sepeda motor sudah sangat banyak lebih banyak dibandingkan jumlah truk, bis ataupun mobil pribadi. Sebuah supercharger memampatkan asupan udara untuk tekanan atmosfer di atas yang meningkatkan densitas saluran udara masuk ke mesin. Supercharger elektrik biayanya lebih murah dibandingkan dengan versi mekanis atau yang diputar oleh mesin (drive belt). Pemasangannya pun dinilai lebih gampang karena tak banyak lagi modifikasi. Pada penelitian ini dilakukan 4 pengujian yaitu uji performansi, pemakaian bahan bakar spesifik, emisi gas buang dan uji nilai kalor bahan bakar. Dengan pengujian torsi memiliki ketidakpastian ±1,633% dan analisa perhitungan daya yaitu sebesar ±4,775%. Dari hasil pengujian didapat bahwa penggunaan blower sebagai supercharger elektrik dapat meningkatkan torsi, daya, efisiensi dan menurunkan konsumsi bahan bakar spesifik.
Comparison Of K-Means and K-Medoids Algorithm for Clustering Data UMKM in Pagar Alam City
Authors: Ariska Sendy , Puspita Desi , Anggraini Inda
Published: June 2024

The aim of this research is clustering MSME data in Pagar Alam City using the K-Means and K-Medoids algorithms. This research is motivated by the lack of further management of MSME data collection, which can hinder the development and improvement of Pagar Alam City MSMEs. Meanwhile, this data is considered necessary for agencies to develop and improve Pagar Alam City MSMEs. Apart from agencies, this data is also useful for sub-districts, sub-districts and RT/RW to find out what interests, talents and potential the community has in what business fields. MSME data is processed using Rapid Miner and Python, the system development method in this research uses the Cross Industry Standard Process for Data Mining (CRISP-DM) method, where the stages include Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The test method uses the Davies-bouldin index, a DBI value that is close to 0 results in good clustering. The results of this research obtained 3 clusters. In 2020 K-Means C0= 1, C1= 3 and C2= 1 sub-district, K-Medoids C0= 1, C1= 1 and C2= 3 sub-district. In 2022 K-Means C0= 1, C1= 3 and C2= 1 sub-district, K-Medoids C0= 1, C1= 3 and C2= 1 sub-districts. The results of the 2020 sub-district DBI clustering calculation are DBI k-means = 0.134 and k-medoids = 0.523. In 2022 DBI k-means = 0.277 and k-medoids = 0.496. So it can be concluded that the K-Means algorithm in the case of grouping MSMEs in Pagar Alam City has better performance, because the DBI value is close to 0. From the results of the grouping it can help provide an overview for related parties in encouraging or providing assistance to sub-districts that are included in the low cluster.
Comparison of Machine Learning Algorithms for Predicting Stunting Prevalence in Indonesia
Authors: Pratama Moh. Asry Eka , Hendra Syaiful , Ngemba Hajra Rasmita , Nur Rosmala , Azhar Ryfial , Laila Rahmah
Published: June 2024

Stunting is a serious public health problem, especially among under-fives, which can cause serious short- and long-term impacts. Efforts to tackle stunting in Indonesia involve national strategies and development priorities. Therefore, this study aims to compare the performance of machine learning regression algorithms in predicting stunting prevalence in Indonesia. The data collected is secondary data. The data collection was done carefully, taking explicit details regarding the source, scope, extent, and analysis of the dataset, and using a careful sampling methodology. The model evaluation results show that the Random Forest Regression algorithm has the best performance, with a success rate of 90.537%. The application of this model to the new dataset shows that East Nusa Tenggara province has the highest percentage of stunting at 31.85%, while Bali has the lowest percentage at 12.07%. Visualization of the dashboard using Tableau provides a clear picture of the distribution of stunting in Indonesia. In conclusion, this research contributes to the development of science, especially in the field of machine learning and public health, and provides policy recommendations for tackling stunting in Indonesia.
Rūmī and Sulṭān Walad’s Way of Understanding Ḥallāj
Authors: Inoue kie
Published: June 2024

In this article, the way of understanding of Jalāl al-Dīn al-Rūmī (d. 1273) and his son Sulṭān Walad (or Bahāʾ al-Dīn Muḥammad Walad d. 1312) on Ḥusayn ibn Manṣūr al-Ḥallāj (d. 922), who was a unique figure in the history of Sufism and who continued to attract the attention of Sufis after him will be discussed.
Rûzbihân-ı Baklî’nin Sûfîlerin Şatahâtını Meşrûlaştırma Çabası: Kur’ân-ı Kerîm, Hadis ve Sahâbe Sözlerinde “Şatahât”
Authors: Urhan Adem
Published: June 2024

Dinin zâhirî ahkâmına aykırıymış gibi görülme, kapalılık ve anlaşılmazlık, şathiyelerin genel özelliğidir. Bu nedenle sûfîler, şatahâtın şerîate muhalif olmadığını göstermek, kapalılığı ve anlaşılmazlığı ortadan kaldırmak için şerhler yazmışlardır. Bu sûfîlerden birisi de Rûzbihân-ı Baklî’dir (ö. 606/1209). Bu makale, Baklî’nin Kur’ân-ı Kerîm, hadis-i şerîf ve sahâbe sözlerinde şatahât olduğunu belirttiği ifadelere dair yapmış olduğu yorumlarını konu edinmektedir. Makalemiz, Şattâh-ı Fars veya Şeyh-i Şattâh gibi isimlerle nitelendirilen Baklî’nin şathiye olarak ele aldığı âyet-i kerîme, hadis-i şerîf ve sahâbe sözlerini makul bir çerçevede şerh edip etmediğini ve yaptığı yorumlarla sûfîlerin şatahâtını meşrûlaştırma çabasında ne derece etkili olduğunu ortaya koymayı hedeflemektedir. Baklî’nin eserlerinde zikrettiği âyet, hadis ve sahâbe sözlerine dair yapmış olduğu yorumlarının analiz edilerek araştırmacıların istifadesine sunulması, bilimsel açıdan önem arz etmektedir. Çalışmanın neticesinde, Baklî’nin şatahât kabilinde değerlendirdiği âyet, hadis ve sahâbe sözlerini sade ve yalın bir şekilde izah ettiği görülmüştür. Onun bu çabasının, eserinde yer verdiği sûfî sözlerinin mâzur görülme sebeplerini gösterme ve daha anlaşılır kılması açısından bir ön hazırlık mâhiyetinde olduğu ifade edilebilir.
Систематизация сестринского ухода за потенциальными пациентами-донорами роговицы: интегративный обзор литературы
Authors: Cruz Neto Manoel Samuel , Negrão Renata de Jesus da Silva , Ramalho Jully Grace Freitas de Paula , Cordovil Darciane Coelho , Panzetti Tatiana Menezes Noronha , Fecury Amanda Alves , Dendasck Carla Viana , Dias Cláudio Alberto Gellis de Mattos , Moreira Elisângela Claudia de Medeiros , Souza Keulle Oliveira da , Silva Gleicy Trindade , Cunha Glenda Fonseca , Pinheiro Shirlei Sueli Frias dos Santos , Oliveira Euzébio de
Published: June 2024

Введение: Трансплантация роговицы — это операция, заключающаяся в замене части больной роговицы пациента здоровой роговицей с целью улучшения зрения или коррекции перфорации глаза. С развитием исследований, методов реанимации и жизнеобеспечения активность мозга стала определять жизнь и смерть человека, таким образом связывая смерть с неврологическими критериями. Уход за пациентами со смертью мозга, потенциальными донорами роговицы, характеризуется как комплексная деятельность, реализуемая многопрофильной командой, работающей во взрослом отделении интенсивной терапии, с систематизацией сестринского ухода на рабочем месте, медсестра обеспечивает качество медицинской помощи на должном уровне. постоянный. Цель: Применение систематизации сестринского ухода по таксономии NANDA у пациента со смертью мозга для сохранения роговицы этого потенциального донора. Метод: Это интегративный обзор литературы. Данные собирались в три этапа: проверка ключевых слов, получение выборки и обобщение данных. Результаты и обсуждение: 12 статей внесли положительный вклад в исследование в виде результатов и дискуссий, представив такие темы, как: потеря потенциального донора из-за поддерживающего ухода и необходимость систематизации сестринского ухода; Стратегия ранней диагностики смерти мозга и важность комитета по поддержке ухода. После прочтения и идентификации в исследовании возникли категории, и были удовлетворительно продемонстрированы условия, демонстрирующие донорство органов и тканей. Заключение: удалось выявить отсутствие протоколов систематизации сестринского ухода в отделении интенсивной терапии и, как следствие, снижение количества трансплантаций роговицы, о чем свидетельствует отсутствие ранних стратегий диагностики смерти мозга.
La relation entre la santé et l’environnement des peuples de la forêt amazonienne
Authors: Melo Arlen Maia de , Pascoal Rosana Moraes , Souza Keulle Oliveira da , Moreira Elisângela Claudia de Medeiros , Dias Claudio Alberto Gellis de Mattos , Nazaré Mailson Lima , Fecury Amanda Alves , Dendasck Carla Viana , Pires Yomara Pinheiro , Trusen Sylvia Maria , Oliveira Euzébio de
Published: June 2024

Le présent travail découle des réflexions issues des cours dispensés dans le cadre du cours Santé, Société et Environnement au sein du Programme d’Études Anthropiques en Amazonie (PPGEAA) et vise à articuler les relations entre ces conceptions à partir de l’entrelacement avec la proposition thématique découlant du projet de recherche présenté au programme. Ainsi, cet article présente une étude sur les cosmologies et la pensée autochtone en ce qui concerne la manière dont ces sociétés s’organisent, cohabitent et conçoivent le triptyque santé, société et environnement. Néanmoins, il est nécessaire de comprendre les multiples façons dont ces sociétés mènent leurs pratiques sociales à partir de leurs croyances interconnectées régulièrement aux éléments présents dans la nature. La méthodologie utilisée dans ce travail consiste en une recherche bibliographique à partir de la sélection de textes qui dialoguent avec la proposition thématique en question. Le cadre théorique de cette recherche s’appuie sur les travaux d’auteurs qui se penchent sur les concepts traités ou qui complètent de quelque manière le dialogue de cette recherche. Les savoirs, les croyances et les pratiques transmis par la tradition autochtone ont longtemps été marginalisés, ignorés ou mal interprétés par le regard étranger et la question ethnocentrique sous la forme du colonisateur. Dans cette perspective, ce travail vise à fournir une interprétation critique, pluraliste et interdisciplinaire à partir de la réflexion sur la pensée autochtone contemporaine.
We need to talk about (sublinear) density dependence
Authors: Letten Andrew
Published: June 2024

Sublinear density dependence has been reported in numerous empirical studies, and yet it is seemingly incompatible with most resource-explicit models of competition. Reconciling this disconnect will likely necessitate substantive revision of the assumptions of mechanistic models and/or empirical methods, but it also presents rich opportunities for original research with wide-ranging implications.
Assessing the Efficacy and Acceptance of Flipped Classroom Method in Tertiary-Level English Vocabulary Learning: A Thematic Data Analysis in Post-Pandemic Bangladesh
Authors: Jabun Nahar
Published: June 2024

Advances in technology have caused a significant impact across sectors, including education, which has resulted in the enhancement of systems worldwide, especially in developing countries like Bangladesh. This study probes into the application and adequacy of employing the flipped classroom method in English as a second language (ESL) learning at the tertiary level in Bangladesh as a new initiative that arises from the proliferation of technology. English as a second language instruction in Bangladesh has been teacher-fronted, which limits student participation and language acquisition. However, with the movement to online teaching brought about by the pandemic, it is clear that language instruction must meet the needs and expectations of students. The vital role of vocabulary acquisition for communication and understanding of cultural differences in particular settings makes vocabulary learning critical, and innovation is essential for increased vocabulary acquisition, recall, and retention. The flipped classroom model allows the students to engage with the content before they come to class, allowing classroom time to be more highly interactive and allowing for a variety of pedagogies and learning environments. To investigate the potential of employing the flipped classroom to redress the challenges of traditional vocabulary pedagogy in ESL settings given limited English exposure outside of class, the research assesses the proficiency of students in Bangladesh in applying the flipped learning model and whether using the model ensures language learning and vocabulary acquisition. Using survey data and thematic data analysis from a group of students at the tertiary level, the research examines the effectiveness of the method, the general acceptance, and the challenges of implementing the method in the classroom to give recommendations and guidance to improve the quality and effectiveness of the flipped classroom in practice for language learning and vocabulary acquisition.
Hubungan Antara Profil Glukosa Darah dengan Derajat Ulkus Kaki Diabetik pada Pasien Kaki Diabetik
Authors: Putri Kalsum Tiara , Indah Lestari Daeng Kanang  , Helmiyadi Kuswardhana  , Andi Kartini Eka Yanti  , Nur Nasri Asryad
Published: June 2024

Neuropati perifer merupakan salah satu komplikasi pasien diabetes yang berisiko ulkus pada kaki. Kadar gula yang tidak terkontrol dapat mempercepat terjadinya arterosklerosis. Tujuan penelitian: mengetahui hubungan antara profil glukosa darah dengan derajat ulkus kaki diabetik pada pasien kaki diabetik di Rs Ibnu Sina Makassar Tahun 2018-2022. Metode penelitian: observasional analitik menggunakan metode Cross-sectional dengan menggunakan data sekunder berupa rekam medis. Hasil penelitian: menunjukan profil glukosa darah dengan derajat ulkus kaki diabetik pada pasien kaki diabetik di RS Ibnu Sina Makassar tertinggi ditemukan sebanyak 31 kasus pasien kaki diabetik (67.4%) pada GDS yang tidak terkontrol, dan 15 kasus (32.6%) pada GDS terkontrol. Pada kelompok GDP sebanyak 28 kasus pasien kaki diabetik (60.9%) yang tidak terkontrol dan18 kasus (39.1%) pada GDP terkontrol. Kelompok HbA1c ditemukan 32 kasus pasien kaki diabetik (69.6%) dengan nilai > 9%, 7 kasus (15.2%) pada kelompok HbA1c dengan nilai 7-9% dan nilai < 7%. Klasifikasi wagner 21 kasus pasien kaki diabetik (45.6%) pada wegner grade 3 dan 1 kasus (2.2%) pada wegner grade 5. Berdasarkan hasil uji korelasi antara GDS, GDP dan HbA1c dengan klasifikasi wegner dimana terdapat hubungan yang signifikan dengan nilai p < 0,005 artinya terdapat hubungan yang secara signifikan pada hasil uji correlation coefficient didapatkan kuat. Kesimpulan: berdasarkan GDS, GDP dan HbA1c paling banyak memiliki profil glukosa darah yang tidak terkontrol dan klasifikasi wagner grade 3. Dan terdapat hubungan antara profil glukosa darah dengan derajat ulkus kaki diabteik.
Comparative Analysis of Supervised Machine Learning Algorithms for COVID-19 Prediction
Authors: Shaheen Rubina , Akram Beenish , Zafar Amna , Waheed Talha
Published: June 2024

With the emergence of COVID-19 as an unprecedented pandemic, the health structure of both the developed and underdeveloped world not only seemed stranded but terrible. The human interface was faced with the dilemma of infection causing the health workers fall prey to the disease while identifying the presence of the disease among the patients. Given the nature of the disease, it is needed to mitigate the effects of spread by resorting to technological advancements for diagnosis of the disorder using machine learning algorithms. In this paper, three supervised machine learning algorithms; Decision Tree, Naïve Bayes, and Logistic Regression have been utilized for the prediction of the disease encompassing nine attributes considering various combinations of symptoms. A comparative analysis of the algorithms used revealed that Decision Trees with 99% accuracy and 98% precision, rendered it the most viable and accurate technique for the diagnosis of COVID-19 disease.