bluuebunny/crossref_metadata_2025_split huggingface dataset:
Formalized Information Description for a Medical Expert System
Authors: Nesterovich S. A. , Brezhneva А. N. , Zyryanova S. A. 
Published: January 2024

The purpose of research. The information description of the patient's health status is based on quantitative parameters and qualitative signs. It is proposed to formalize quantitative and qualitative information about the patient's state of health in order to use this information to build a medical expert system. The expert system built on the basis of this information will be able to make a more accurate diagnosis, which will reduce the time for diagnosis and ultimately increase the effectiveness of treatment.Methods. On the basis of a formalized information description of the state of health of patients, it is possible to construct classes of states: the class of the current state (at the moment), the class of the reference (healthy) state of health of the patient. In the future, it is possible to build classes of patients' health conditions taking into account age and a number of features of diseases, for example, taking into account the area in which the patient lives, etc. In the future, these classes can be implemented in a medical expert system.Results. As a result, a formalized information model of describing the patient's health status based on quantitative parameters and qualitative signs has been built, which can be the basis for a database and knowledge base of a medical expert diagnostic system.Conclusion. As a result, a formalized description of the patient's state of health is proposed. For implementation, it is necessary to provide for the possibility of constructing a separate heuristic algorithm for the diagnosis of the disease, which will be associated with the reproduction in the form of operations of the process of developing a logical structure when reasoning by an expert (doctor) during the treatment of a patient.
Intelligent System for Providing Migration Through Dynamic Data Deserialization
Authors: Tomakova R. A. , Ivanov D. V. , Korsunsky N. A. 
Published: January 2024

The purpose of research. Timely provision of data transfer between information systems allows you to quickly exchange resources. However, applications may have different data formats and structures. Therefore, the aim of the research was to develop models, methods and algorithms for a system of asynchronous deserialization of a data string, providing an increase in the efficiency of determining data models by generating strongly typed objects.Methods. The way to deserialize models from data involves line-by-line decomposition of a JSON-file line with the definition of key-value types and their correlation with the data model: character, string, number, boolean value. After that, the web controller conducts asynchronous generation of the class and its objects. To classify string values, serialized string value classifiers are used. For asynchronous generation of objects, a system of “contracts” of models and algorithms for executing and converting these models are used.Results. The deserializer consists of a system of four model analysis controllers and a value generation algorithm. A simple single model deserialization model allows the model to be mapped to relational database table headers to enable model migration between systems. The generated objects are represented by static data types, which ensures that they can be written to any DBMS system using built-in tools. A complex model represents a block of values as a system of different models. Software has been developed for connecting source and target databases, which allows you to migrate data from the created models. Generated values are represented as full-fledged objects and can be used to create a web interface for applications, edit data models, and manage the model system.Conclusion. Experimental studies on deserialization of models from a JSON string containing complex model classes showed an average accuracy of determining the data type of models in 92% of cases, in particular when determining the types of values "character" and "string". The created models are presented in the form of a data table and can be used to ensure the migration of these models.
Correlations and Algorithmization of Cytokine Status Analysis of Patients with Coronary Heart Disease in the Early Recovery Period After COVID-19
Authors: Negrebetskiy V. A. , Gontarev S. N. , Ivanov V. A. 
Published: January 2024

The purpose of research is study of correlations and algorithmization of cytokine status analysis of patients with coronary heart disease in the early recovery period after COVID-19.Methods. Cytokine status was studied in 40 patients with coronary heart disease 3-4 weeks after recovery from COVID19. The control consisted of 38 patients with coronary heart disease without COVID-19. The level of cytokines in the blood was determined on the device "Becton Dickinson FACS Canto 2 (USA)". Correlation and regression analysis were used in statistical analysis.Results. Reliable moderate correlations were established between IL-6 and IL-2, IL-3, respectively, r = 0,35 and r = 0,33; IL-17 with IL-2 and IL-6 – r = 0,28 and r = 0,63, respectively; TNF-α and IFN-γ with IL-6 – r = 0,42 and r = 0,39. At the same time, the greatest association, according to the values of the correlation coefficients, among the studied interleukins in patients with coronary heart disease during the convalescence period is characteristic of IL-6. However, IL-17 also had a significant number of correlations with the cytokines under consideration. All this indicates a high association of IL-6, IL-17 and IFN-γ with other cytokines during the recovery period of patients with coronary heart disease after COVID-19 and their priority participation in the development and recovery of these patients. To identify the most informative blood cytokines, an algorithm for analyzing the cytokine status has been developed, which provides for the development of uncorrected and adjusted mathematical models by gender and age of patients with coronary heart disease who have undergone COVID-19. It was found that the greatest effect on recovery 3-4 weeks after COVID-19 in patients with coronary heart disease has the level of IL-17 in the blood (OR = 1,792, p = 0,0021) in an uncorrected and adjusted by gender and age model (OR = 1,708, p = 0,0012).Conclusion. The established correlations, algorithms and models created are proposed to be used in assessing thedynamics of recovery of patients with coronary heart disease after COVID-19.
Quantitative Assessment of the Body's Defense Mechanisms by the Energy Imbalance of Meridian Structures
Authors: Korenevsky N. A. , Shulga L. V. , Rodionova S. N. , Rybakov А. Y. , Razumova К. V. 
Published: January 2024

The purpose of research is to improve the quality of predicting and diagnosing diseases caused by the action of heterogeneous risk factors by using the estimated characteristics of the body's protection level, determined by the energy characteristics of biologically active points that form the basis of the corresponding meridian structures.Methods. Explores the issues of using indicators characterizing the energy characteristics of meridian structures for a quantitative assessment of the level of protection of the body from the effects of many diverse environmental factors. Since the indicators under study have a pronounced fuzzy nature, the methodology for synthesizing hybrid fuzzy decision rules was chosen as the basic mathematical apparatus.Results. The paper shows that for a quantitative assessment of the level of protection of the body at its various levels (organism, system, organ), it is advisable to use the imbalance of the electrical resistance of the corresponding biologically active points from their nominal values, determined under normal conditions and after a dosed load, as the energy characteristics of the meridian structures. A method for assessing the level of protection by the energy imbalance of the meridian structures of the body is proposed, which differs in that the energy imbalance of the meridian structures for the selected level of research in combination with the load energy imbalance is used as the basic variable functions of the protection level (PLF), which allows assessing the level of protection of the body as a whole, as well as its systems and organs with an accuracy acceptable for medical practice. The ways of embedding FUS in predictive and diagnostic decision rules are shown.Conclusion. In the course of the studies, it was shown that in order to improve the quality indicators of forecasting and diagnosing socially significant and occupational diseases, it is advisable to use indicators of the level of body protection determined by the energy imbalance of meridian structures. It is shown that the quality of decision-making with the use of FLS increases by 10–20% depending on the type of tasks being solved and the completeness of the collected data compared to traditionally obtained models.
Effects of Lifelong Learning on the Readiness for Online Learning
Authors: TORUNLAR Serkan , ENGİN Melih 
Published: January 2024

Purpose: Technological advancement, which started with the Industrial Revolution, accelerated by the end of the 20th century. These developments created radical changes not only in working life but also in our social and cultural lives. The need for people to constantly learn new things in order to keep up with these changes created the concept of lifelong learning. In addition, the concept of distance education has been in our lives in various forms for many years. Especially after the 2000s, internet-based distance education, ie., online education, has become quite common. Readiness for online learning emerged as one of the important factors affecting the efficiency of online learning. In this study, the relationship between lifelong learning and readiness for online learning was examined.
Design/Methodology/Approach: For this purpose, Lifelong Learning and Online Learning Readiness scales were administered to university students. In total, 390 students from different universities and departments participated in the research.
Findings: With the data obtained, it was tried to determine if lifelong learning had a significant effect on the sub-dimensions of readiness for online learning. In addition, determining if the gender and the type of education program had a significant effect on these two concepts constitutes the sub-objective of the research.
Highlights: The findings showed that there was a significant and positive relationship between the sub-dimensions of readiness for online learning and lifelong learning. On the other hand, it was observed that women were better than men and postgraduate students were better than other students in terms of both readiness for lifelong learning and online learning.
Ethical Issues in Educational Technology
Authors: AYDIN İnayet 
Published: January 2024

Purpose: The purpose of this study is to identify the ethical issues created by educational technology from the perspective of children and youth and to develop recommendations for addressing the ethical problems they face in educational technology based on ethical evaluations.
Design/Methodology/Approach: This study utilizes the "Narrative Review" method.
Findings: This study reveals scientific findings on the inequalities created among students by educational technology, its impact on the child's privacy, values, and world of meaning, its effects on students' learning, cognitive functions, and creativity, its influence on students' emotional development and human relationships, as well as the negative effects of virtual reality and gamification, and the impact of technology on children's fundamental academic and physical skills.
Highlights: This research emphasizes the significant responsibilities that educational managers, decision-makers, policymakers, and teachers, especially those concerning "minors" under the age of 18, need to take on regarding the responsible, safe, and ethical use of technology in educational processes. The study delves into protecting children from potential harm and negative effects resulting from their use of educational technology.
The influence of zinc deficiency on taste disorders in selected medical aspects
Authors: Kędziora-Ciechańska Aleksandra , Chałas Renata 
Published: January 2024

Abstract
Taste disorders are a serious impediment to the process of eating meals. There are many mechanisms that determine the development of taste disorders. One of them is believed to be zinc deficiency. Zinc is responsible for the processes of regeneration of taste and smell centres. It plays a significant role in the cells of the taste bud. Our study aims to present the role of zinc deficiency on the occurrence of taste disorders in selected medical aspects, such as in the course of diabetes, as a result of radiotherapy and chemotherapy of head and neck cancers, resulting from old age, and in the course of oral cavity halitosis. The study analyzed articles available in the PubMed database. The consequence of the reduced zinc content is its incorrect amount in the epithelium of the tongue, which may be the result of a reduced ability of cells to regenerate after the destructive effects of pathological factors. The result of zinc deficiency is its reduced amount in the salivary glands, which results in reduced activity of carbonic anhydrase 6 (gustin), which is a component of saliva. Zinc is also involved in the process of experiencing taste by affecting neuronal processes. Zinc ions inhibit oral malodor by binding directly to hydrogen sulfide gas and by inhibiting the growth of oral bacteria that produce volatile sulfur compounds. In the study, we focus on the mechanisms that determine the abnormal perception of taste and potential therapeutic possibilities based on current scientific reports.
GPGPU Programming for Dipolar Field Calculation
Authors: Pricop Sebastian , Ababei Răzvan Vasile 
Published: January 2024

Abstract
Accelerating computational processes is paramount in numerical infrastructure development, particularly in applications such as the finite element method (FEM) and extensive calculations for simulating 3D processes in materials. In this work, we introduce a novel technique for computing the magnetostatic field of an ellipsoid particle, leveraging CUDA on a graphical card for parallel processing. The implementation on a GPU resulted in a remarkable 20-fold improvement in calculation speed. This achievement not only expedites research tasks, but also enables the exploration of larger and more intricate simulations, facilitating quicker model refinements and deeper insights into material behaviours under various conditions. The utilization of GPU computing aligns with the broader trend in scientific research and engineering, offering a versatile solution for diverse computational challenges beyond this specific task of magnetism. Overall, our work contributes to the ongoing effort to harness high-performance computing (HPC) technologies for accelerated and more efficient simulations in materials science and related fields.
Hypothyroidism and autoimmune thyroid disorders in rheumatoıd arthritis: relationship wıth disease activity
Authors: Karakiliç Gülseren Demir , Borman Pinar , Kocaoğlu Seher , Büyük Ferda , Bakirci Esra Şahingöz 
Published: January 2024

Abstract

Background and aims:
Thyroid function abnormalities and thyroid autoantibodies have previously been described in rheumatoid arthirits (RA) with limited data. In some studies, a relationship was found between thyroid autoantibodies and RA disease activity. However, there are not strong studies in the literature indicating the relationship between thyroid diseases and RA. The aim of this study was to determine the frequency of hypothyroidism and to investigate the relationship between thyroid hormone levels, autoantibodies and disease activity in patients with rheumatoid arthritis (RA).

Methods
: 1017 patients with the diagnosis of RA were recruited. This observational study was conducted between January 2014 and July 2015. Demographic variables were recorded. Anti-nuclear antibodies (ANA), anti-cyclic citrulli-nated peptide antibody (anti-CCP), Rheumatoid Factor (RF), C reactive protein (CRP), Erythrocyte Sedimentation Rate (ESR), thyroid stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), anti-microsomal antibody (anti-TPO )and anti-thyroglobulin antibody (anti-TG) were determined. Visual analog score and Disease Activiy Score 28 (DAS-28) ESR and DAS-28 CRP were recorded. The relationship between thyroid hormone levels and thyroid antibodies and disease activity parameters were determined.

Results:
98 (%9,7) patients had hypothyroidism and 61 (%6) patients had hyperthyroidism. 210 (20,7%) patients with RA was positive for TPOAb and 165(16,3%) for anti-TG. Positive correlation was detected between anti-TPO positivity and anti-CCP levels (p:0.005, r:0,274). In anti-TG antibody positive patients, there was a significant positive correlation of thyroid hormone levels with CRP and DAS 28-CRP (p:0.01, r:0,120; p:0.01, r:0,169).

Conclusion:
Thyroid autoantibodies were found to be positive in 16-21% of patients with RA. Though hypothyroidism is not very frequent in RA patients, autoimmune thyroid disease is quite common, which may be related to disease activity.
Role of IL-33 and IL-35 in the Pathogenesis of Rheumatoid Arthritis
Authors: Jocic Jasmina , Pavlovic Sladjana , Lucic Aleksandra Tomic 
Published: January 2024

Abstract
Cytokine-mediated immunity plays an important role in the pathogenesis of the rheumatoid arthritis. Interleukins IL-33 and IL-35 are closely associated with various rheumatic diseases. The effect of IL-33 on rheumatoid arthritis is believed to be mediated by induction of proinflammatory cytokines (IFN-γ, TNF-α, and IL-17), activation of mast cell degranulation, and mobilization of neutrophils in the joints. However, in addition to the pro-inflammatory, its anti-inflammatory role in rheumatic diseases has also been noticed. The potential mechanism of its anti-inflammatory action can be explained by IL-33-induced mast cell activation that can affect rheumatoid arthritis. IL-35 is a heterodimeric protein and has a significant anti-inflammatory effect. This inhibitory cytokine can express its therapeutic potential through the suppression of osteoclastogenesis and angiogenesis. This review presents current knowledge on the role of these cytokines in the pathogenesis of rheumatoid arthritis.
Literatur Review Perbandingan Metode Pengembangan Design thinking dengan Extreme Programming
Authors: Anggreni Ni Komang Ayu Sri , Sastra Nyoman Putra Putra , Wiharta Dewa Made 
Published: January 2024

With the development of applications, both through the web and mobile, applications cannot be separated from human-computer interaction. The ease of using the application is the target of developers to attract users' interest. In this era of globalization, website applications and mobile platforms are the mostly used for public branding. Application are used to deliver message through visuals from the appearance of the application. This is inseparable from the User Interface and User Experience. In today pratice, UI/UX designers mostly favor attractive visuals over the essence and purpose of creating a website, creating deviaton at UI/UX theory, design element, and color. it is necessary to design a UI / UX in order to application is attractive and the purpose of making the application is in line with expectations. There are several approaches to application design, one of which is Design thinking and Extreme Programming. This research aims to compare the Design thinking approach with Extreme Programming where the test obtained based on a literature review concluded that Design thinking has advantages in approaching potential users while Extreme Programming is less focused on potential users.
Analisis Komputasi Paralel pada Image Encoding Framework untuk Konversi Citra Data Deret Waktu Sistem Kontrol Industri
Authors: Rahadian Helmy , Wahid Muhammad Rizalul , Arifin Zaenal 
Published: January 2024

Sensor pada sistem kontrol industri mengirimkan serangkaian data tiap waktu dikenal dengan data deret waktu ke kontroler. Data memiliki informasi penting bagi kontroler untuk menentukan sinyal kontrol bagi aktuator. Munculnya anomali pada data deret waktu dapat dideteksi dengan metode Convolutional Neural Network (CNN) memanfaatkan teknik image encoding seperti Gramian Angular Field (GAF) dan Markov Transition Field (MTF). Teknik ini mengubah data deret waktu menjadi citra melalui serangkaian tahap mulai persiapan data, encoding data, dan konversi citra. Pembagian data berukuran besar menjadi sejumlah segmen yang lebih kecil membutuhkan proses encoding dan konversi yang berulang. Proses berulang yang dikerjakan secara serial membutuhkan waktu yang lama sehingga memperlambat deteksi anomali dan tanggapan yang harus dilakukan. Penelitian ini menerapkan komputasi paralel dengan Joblib dan Mpire pada image encoding GAF dan MTF yang disediakan oleh pustaka pyts berbasis Python. Konfigurasi n_jobs menentukan jumlah inti logika CPU yang digunakan untuk mengeksekusi program. Penerapan nilai n_jobs = 8 yang disesuaikan dengan jumlah inti logika CPU komputer penelitian menghasilkan penghematan waktu proses rata-rata sebesar 63% (Joblib) dan 49% (Mpire) yang secara teoritis akan mampu mendeteksi anomali yang muncul minimal tiap 62.73 ms (Joblib) dan 86.20 ms (Mpire) dibandingkan dengan komputasi serial yakni setiap 167.51 ms.
Analisis Efisiensi Energi antara Lampu LED dan Lampu Konvensional (Studi kasus: Pada Hotel Cap Karoso)
Authors: Pramono Lukito , Linawati Linawati , Hartati Rukmi Sari 
Published: January 2024

Lampu LED merupakan salah satu contoh metode efisiensi dari lampu konvensional karena hasil efisiensi energinya yang lebih tinggi. Pada penelitian ini dilakukan analisis perbandingan efisiensi listrik antara lampu LED dan lampu konvensional. Penelitian ini mengumpulkan data dari sejumlah lampu yang digunakan pada studi perbandingan lampu LED dan lampu konvensional pada Hotel Cap Karoso dan diuji dalam kondisi yang sama. Jenis lampu LED yang digunakan adalah recessed downlight, track light, pendant light dan wall scone. Sementara jenis lampu konvensional yang digunakan adalah incandescent, halogen, fluorescent dan HID. Dilakukan perbandingan dan perhitungan dari sisi energi watt dan biaya listrik. Berdasarkan parameter tersebut dapat dilihat energi yang dihasilkan dan biaya yang dibutuhkan dari kedua jenis lampu LED dan lampu konvensional. Berdasarkan perhitungan dan perbandingan kedua jenis lampu yang digunakan, didapatkan perhitungan bahwa lampu LED dapat menghemat energi dan penghematan biaya sebesar 27%.