bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolic abnormalities in patients with non-alcoholic fatty liver disease with immune response to SARS-CoV-2
Authors: Stepanov Yu.M. , Didenko V.I. , Klenina I.A. , Tatarchuk O.M. , Petishko O.P. 
Published: April 2024

Background. It is known that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can directly infect hepatocytes. At the same time, overweight and obesity are surrogate markers of the adverse effects of coronavirus disease 2019 (COVID-19). The purpose of the study: to evaluate changes in lipid and carbohydrate metabolism and their indices in the serum of patients with non-alcoholic fatty liver disease (NAFLD) with an immune response to SARS-CoV-2. Materials and methods. We studied 37 patients with NAFLD who had IgG to SARS-CoV-2. All patients were divided into two groups: group I consisted of 19 participants who were PCR-negative for SARS-CoV-2, group II included 18 patients who had COVID-19, as confirmed by PCR testing. The content of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), glucose, low-density lipoprotein cholesterol, very low-density lipoprotein cholesterol (VLDL-C), atherogenicity coefficient, insulin resistance indices (HOMA-IR), TG to glucose (TG/Gly) and TG to HDL-C (TG/HDL-C) ratio were assessed in all patients. Results. Among patients with NAFLD with an immune response to SARS-CoV-2, dyslipidemia manifested by a probable increase in the median TG content in groups I and II by 2.5 and 3.4 times (р = 0.0001), respectively; TC — by 1.2 times (р = 0.0425) in both groups, with a tendency to increase; VLDL-C — by 1.8 (р = 0.010) and 2.5 times (р = 0.0022), respectively, and a decrease in the median content of HDL-C by 1.7 (р = 0.0016) and 1.9 times (р = 0.0008), respectively, in blood serum. The identified changes led to a statistically significant increase in the median atherogenicity coefficient in groups I and II — by 2.2 (р = 0.0036) and 2.5 times (р = 0.007). An increase in the HOMA-IR did not have a statistically significant difference between the groups: in group I, this index increased by 3.1 times (p < 0.05) compared with the controls, in group II — by 3 times (p < 0.05). In addition, patients in both groups had a statistically significant increase in TG/Gly and TG/HDL-C ratio compared to controls. However, the detected changes were more pronounced in group II, where TG/Gly and TG/HDL-C levels were 1.5 (р = 0.038) and 1.9 times (р = 0.035), respectively, higher than in group I. Conclusions. Patients with an immune response to SARS-CoV-2 with NAFLD have disorders of lipid and carbohydrate metabolism. At the same time, the signs of dyslipidemia were more pronounced in participants with a history of SARS-CoV-2. TG/Gly and TG/HDL-C ratio should be included in the diagnostic algorithm for assessing insulin resistance in patients with COVID-19 who are overweight or obese.
PROFESSIONAL DEVELOPMENT IN TEACHING ACADEMIC WRITING: THE EXPERIENCE OF A FACULTY READING GROUP
Authors: Glushko Tatiana , Labzina Polina G. , Pavlova Olga S. 
Published: April 2024

Professional development in academic writing in English can be challenging for university instructors in non-English speaking countries. These challenges may be caused by a lack of experts in the field to conduct professional development, budgeting issues, access to training, and motivating and meeting the needs of faculty who may already be overburdened by high teaching loads. In this article, the authors describe conducting a year-long reading group focused on professional development in the teaching of academic writing. The goal of the group was to advance participants’ understanding of how to teach academic writing. To achieve the goal, the group was designed to increase awareness of writing pedagogy theories, construct a clearer understanding of the concept of academic writing, and critically examine current practices in teaching academic writing within the context of higher education in Russia. The authors describe the design, facilitation, and outcomes of the group. They also consider the benefits and limitations of engaging in this form of professional development. Finally, they offer implications for continuous professional development for university language instructors in a collaborative environment.
The Influence of the Capital Market (Financial Instruments) on Economic Growth in Kazakhstan and CIS Countries
Authors: Omir Ainur , Adambekova Ainagul , Khishauyeva Zhanat , Zhanibekova Gaukhar , Amankeldi Nazigul 
Published: April 2024

Abstract
Econometrics is a branch of economics that uses mathematical and statistical methods to study quantitative and qualitative relationships within economic phenomena. The purpose of this article is to study the impact of the capital market (financial instruments) on economic growth in Kazakhstan and the CIS countries through an understanding of the concept of “econometrics”. The task of the study is to determine the dependence of gross domestic product as a resultant factor over the past 20 years. Methods. The article determines the assessment of the impact of financial factors on economic growth in the short term. An econometric model was used for this purpose. The resulting factor was the gross domestic product over the past 20 years. Results. The results indicate that the capital market influences economic growth in Kazakhstan and the CIS countries. This paper presents a model of the GDP function for the economy of Kazakhstan. In the course of the study, coefficients and variables of the model were estimated to predict the level and future changes in the country’s GDP. Thus, the size of the capital market (Y1) depends on the following variables tested in the model: the number of securities issuance transactions; the volume of securities issuance transactions; the number of transactions of non-residents with shares at the secondary auction of KASE; the rate of change of shares of leading issuers on KASE
Study on Motion Sensing Using Textile Electrodes-Focusing on the Application of PANI Conductive Material
Authors: Wang Chenlu , Song Hayoung 
Published: April 2024

Abstract
This study investigates the application of textile electrodes using PANI (Polyaniline) conductive material for motion sensing, specifically aimed at motion monitoring for the elderly. By depositing a PANI conductive layer on the base of warp-knitted fabric through in-situ polymerization and plasma treatment, a PCCWKF (Polyaniline Coated Conductive Warp-Knitted Fabric) with enhanced electrical conductivity and mechanical flexibility was developed. The research optimized the electrical resistivity and durability of PCCWKF by incorporating Polyvinyl Alcohol (PVA) as a toughening agent, improving the adhesion of the PANI conductive layer to the textile substrate. The sensor’s efficacy in accurately recording and monitoring motion amplitude and frequency in real-time was demonstrated through its application in smart clothing, focusing on respiratory, elbow, and knee motion monitoring. This study holds significant implications for the advancement of wearable technology and smart textiles in the health monitoring of the elderly.
Hypokalemia- Induced Rhabdomyolysis – Case Report and Literature Review
Authors: Daniela Rădulescu , Cristiana David , Adela Văcăroiu Ileana 
Published: April 2024

Abstract
Nowadays, rhabdomyolysis is a common cause of acute kidney injury and it is associated with severe, sometimes life-threatening hyperkalemia. We report the case of a patient with profuse diarrheic syndrome caused by Crohn's disease who developed hypokalemia-induced rhabdomyolysis and multifactorial anuric acute kidney injury. Prompt diagnosis and treatment of Crohn's disease, along with electrolyte replacement and dialysis were followed by full recovery of renal function and correction of hypokalemia. We also review literature data regarding the rare cases presenting with rhabdomyolysis secondary to hypokalemia.
A Novel Explainable AI Model for Medical Data Analysis
Authors: Shakhovska Nataliya , Shebeko Andrii , Prykarpatskyy Yarema 
Published: April 2024

Abstract
This research focuses on the development of an explainable artificial intelligence (Explainable AI or XAI) system aimed at the analysis of medical data. Medical imaging and related datasets present inherent complexities due to their high-dimensional nature and the intricate biological patterns they represent. These complexities necessitate sophisticated computational models to decode and interpret, often leading to the employment of deep neural networks. However, while these models have achieved remarkable accuracy, their ”black-box” nature raises legitimate concerns regarding their interpretability and reliability in the clinical context.
To address this challenge, we can consider the following approaches: traditional statistical methods, a singular complex neural network, or an ensemble of simpler neural networks. Traditional statistical methods, though transparent, often lack the nuanced sensitivity required for the intricate patterns within medical images. On the other hand, a singular complex neural network, while powerful, can sometimes be too generalized, making specific interpretations challenging. Hence, our proposed strategy employs a hybrid system, combining multiple neural networks with distinct architectures, each tailored to address specific facets of the medical data interpretation challenges.
The key components of this proposed technology include a module for anomaly detection within medical images, a module for categorizing detected anomalies into specific medical conditions and a module for generating user-friendly, clinically-relevant interpretations.
The Anatomy of Unemployment: Determinants During and After the COVID-19 Crisis
Authors: Senci Matus , Svabova Lucia , Kliestik Tomas 
Published: April 2024

Abstract
Unemployment is a factor that heavily influences the output of each economy. It is, therefore, one of the main concerns of any government worldwide. This study identifies key determinants of unemployment. By constructing an econometric model for the registered unemployment rate in Slovakia, the period from 2013 to 2022 was under scrutiny, while the impact of the COVID crisis was considered in the model through a dummy variable. Potential determinants of unemployment were selected based on theoretical knowledge and other scientific works, that is, average interest rates, gross minimum wage, GDP, inflation, exports, imports, government spending, corruption index, COVID-19 crisis, and month of the year. The final relevant factors for unemployment were tested and validated: interest rates, GDP, inflation, government spending, and exports. These study results may be valuable for the government when designing targeted interventions to optimise the unemployment rate in Slovakia or similar economies by influencing other macroeconomic indicators.
Service Quality Influence on Consumer Satisfaction in the Banking Sector Aimed at Sustainable Growth
Authors: Ifedi Chibuzo , Haque Rasheedul , Senathirajah Abdul Rahman Bin S. , Qazi Sayeeduz Zafar 
Published: April 2024

Objective: The study's goal is to find out how customer satisfaction in the Malaysian banking sector is affected by high-quality service.

Theoretical framework: The study also looked into how tangibility, service dependability, responsiveness, assurance, and empathy affected customer satisfaction. The SERVQUAL model, which includes tangibility, service reliability, responsiveness, assurance, and empathy, serves as the independent variables in this study.

Methodology: The focus of the study's population is on Malaysia's banking industry customers and the services provided by various banks. 317 people participated in the study, and a structured questionnaire was used to collect the data. The hypothesis that was developed for the study will be put to the test using Multiple Regression Analysis. The Cronbach Alpha test was used to determine the internal reliability of the six different scales used in the study.
Results and conclusions: After the study, three hypotheses were accepted, while two were rejected (Hypotheses one and five). SPSS 23 was used to analyze the data in the study. Empathy and tangibility were found to not affect customer satisfaction, according to the findings.

Research implications: Participants are selected through a straightforward method of random sampling in this study. Using customer satisfaction as a moderating variable, additional studies on the relationship between service quality and customer loyalty can be conducted based on this recommendation. Customer satisfaction and loyalty can both be influenced by employee performance and employee loyalty, with service quality serving as a moderating variable.

Originality/value: The study will focus on the banking sector of Malaysia. Based on data collection, the study will make use of the customer of the banking sector. This will limit the amount of data collected based on the timeframe of the study. The study will also be limited based on the process which will be adopted in the data collection process. The use of online surveys despite the many positives attached to it has some limitations. An online survey doesn't provide face-to-face interaction between the researcher and the participants.
Applying artificial intelligence to predict the outcome of orthodontic treatment
Authors: Ramasubbu Niranjana , Kasim Shakeel Ahmed Valai , Thavarajah Rooban , Rengarajan Krishnaswamy Nathamuni 
Published: April 2024

Objectives:
The study aimed to train an algorithm to predict facial and dental outcomes following orthodontic treatment using artificial intelligence (AI). In addition, the accuracy of the algorithm was evaluated by four distinct groups of evaluators.

Material and Methods:
The algorithm was trained using pre-treatment and post-treatment frontal smiling and intraoral photographs of 50 bimaxillary patients who underwent all first bicuspid extraction and orthodontic treatment with fixed appliances. A questionnaire was created through Google form and it included 10 actual post-treatment and AI-predicted post-treatment images. The accuracy and acceptability of the AI-predicted outcomes were analyzed by four groups of 140 evaluators (35 orthodontists, 35 oral maxillofacial surgeons, 35 other specialty dentists, and 35 laypersons).

Results:
The Style-based Generative Adversarial Network-2 algorithm used in this study proved effective in predicting post-treatment outcomes using pre-treatment frontal facial photographs of bimaxillary patients who underwent extraction of all first bicuspids as part of their treatment regimen. The responses from the four different groups of evaluators varied. Laypersons exhibited greater acceptance of the AI-predicted images, whereas oral maxillofacial surgeons showed the least agreement. The base of the nose and the chin demonstrated the most accurate predictions, while gingival visibility and the upper lip-to-teeth relationship exhibited the least prediction accuracy.

Conclusion:
The outcomes underscore the potential of the method, with a majority of evaluators finding predictions made by the AI algorithm to be generally reliable. Nonetheless, further research is warranted to address constraints such as image tonicity and the proportional accuracy of the predicted images.
Assessment of Nickel Ion Release from NiTi Orthodontic Archwire After Using Magnetized Water as a Mouth Rinse
Authors: Al Zubaidy Zinah Natheer , Al Hamdany Afrah Khazal 
Published: April 2024

Objectives
This study was to detect whether the magnetized water (MW), when used as a mouth rinse, can influence the release of Nickel (Ni) ions from NiTi (nickel-titanium) archwires.

Material and Methods
One hundred fifty (0.016” *0.022”) as received orthodontic NiTi archwires were grouped into three chief groups based on the used mouth rinse into MW, Ortho Kin (control positive) (OK) and distilled water (control negative) (DW) groups. Every group contained intervals of five points (24 h, 1 week, 2 week, 3 week and 4 week). Ten archwires were used for each interval. The release Ni was detected at each interval using an atomic absorption spectrometer. The topographic features of orthodontic archwires were examined with a scanning electron microscope and an atomic force microscope. SPSS Statistics software (V.19) was used for statistical analysis. One-way Analysis of Variance (ANOVA) and post hoc Duncan’s multiple range test were used for data analysis with P ≤ 0.05.

Results
Significantly less amount of Ni ion released in the MW group was recorded from NiTi archwires in comparison with the OK group for all studied intervals.

Conclusion
MW may be indicated as a suitable adjunct for further commercially available mouth rinses (as OK) throughout orthodontic therapy.
Enhancing Eastern Equine Encephalitis Virus Surveillance in New Jersey: Optimized Collection of Culiseta melanura
Authors: Fagre Anna C. , Soto Raymond A. , Magleby Reed , Cuadera Mervin Keith Q. , Sun Alexandria , Cervantes Kim , Crans Scott C. , Panella Nicholas A. , Kenney Joan L. , Angelus Autumn , Burkhalter Kristen L. , Woell Dana , Horiuchi Kalanthe , Biggerstaff Brad J. , Staples J. Erin , Connelly Roxanne , Martin Stacey W. , Komar Nicholas 
Published: April 2024

ABSTRACT
Eastern equine encephalitis virus (EEEV) causes the most clinically severe neuroinvasive arboviral disease in the United States. The virus is endemic in eastern and Gulf Coast states and the Great Lakes region, causing cases annually. To detect EEEV circulation in its enzootic cycle before the virus infects humans and other mammals, mosquito control agencies in New Jersey have conducted mosquito surveillance using a series of permanent wooden resting box sites since 1975. We conducted 2 field studies, 1 evaluating resting traps and 1 evaluating efficacy of CO2 lures, to optimize collection of Culiseta melanura, the primary enzootic vector of EEEV. Resulting mosquito samples were subjected to molecular analysis to determine EEEV infection rates. Corrugated plastic boxes trapped more bloodfed Cs. melanura than other resting trap types (resting boxes, Centers for Disease Control and Prevention [CDC] resting traps, or fiber pots) and were similar to resting boxes in total number of female Cs. melanura caught. Further, non-baited CDC light traps were more successful in trapping host-seeking Cs. melanura than those baited with dry ice, a CO2 lure. The EEEV RNA was identified in Cs. melanura, Aedes vexans, Anopheles quadrimaculatus, and Uranotaenia sapphirina. Our findings indicate that corrugated plastic boxes and non–CO2 baited traps could improve detection of Cs. melanura. Mosquito control agencies are encouraged to periodically assess their surveillance strategy for EEEV.
Mendorong pilihan jajanan sehat pada anak-anak sekolah: Pengalaman pengabdian kepada masyarakat di Desa Panteriek, Banda Aceh
Authors: Al Rahmad Agus Hendra , Ichsan Ichsan , Imran Herry , Miko Ampera 
Published: April 2024

Bahaya obesitas pada anak-anak sekolah akibat konsumsi jajanan tidak sehat telah menjadi masalah kesehatan yang signifikan. Masalah kesehatan yang perlu mendapatkan perhatian serius adalah peningkatan berat badan berlebihan akibat konsumsi tidak sehat pada anak sekolah. Dalam upaya mencegah dan mengatasi hal tersebut maka diperlukan edukasi melalui penyuluhan gizi. Tujuan kegiatan yaitu untuk menggambarkan pengalaman dan hasil dari kegiatan pengabdian kepada masyarakat yang bertujuan untuk mendorong pilihan jajanan sehat pada anak-anak sekolah di Desa Panteriek, Banda Aceh. Metode pelaksanaan dalam kegiatan ini yaitu menggunakan pendekatan pengabdian kepada masyarakat dengan melibatkan 43 anak usia 10-12 tahun di desa tersebut. Sebelum dan setelah kegiatan penyuluhan, dilakukan pre-tes dan post-tes untuk mengukur pengetahuan dan sikap anak-anak terhadap bahaya konsumsi jajanan tidak sehat. Materi penyuluhan mencakup bahaya obesitas, jajanan tidak sehat, dan risiko konsumsi jajanan dijalanan. Hasil, analisis data menunjukkan bahwa rata-rata pengetahuan anak-anak meningkat secara signifikan setelah penyuluhan (p=0.029). Selain itu, terdapat peningkatan yang signifikan dalam sikap anak-anak terhadap bahaya jajanan tidak sehat (p=0.030). Hasil ini menunjukkan efektivitas kegiatan pengabdian dalam meningkatkan pengetahuan dan sikap anak-anak terkait pilihan jajanan sehat. Kesimpulan, kegiatan pengabdian kepada masyarakat berhasil mendorong pilihan jajanan sehat pada anak-anak sekolah. Pengetahuan dan sikap anak-anak meningkat setelah penyuluhan, yang menunjukkan pengaruh positif.
Reasons for extracting children's teeth at the department of pediatric dentistry, RSGM Baiturrahmah
Authors: Utami Sri Pandu , Suryati Sisi I 
Published: April 2024

Background : Extraction of primary teeth is a relatively common part of pediatric dentistry practice, often included as part of treatment based on caries, trauma, and orthodontic considerations. Object: The samples were 30 children who had their teeth extracted at RSGM Baiturrahmah. Research Methods: Research by filling out informed consent Research by interview was asked directly to the mother and child during the anamnesis before the child had a tooth extraction in the room. Results: The results of the study were based on a sample of 30 children who had their teeth extracted at the Baiturrahmah Hospital, the highest number was the extraction of the incisors as many as 14 children on the grounds that the teeth were loose or the teeth were persistent, 8 children extracted the 1st molars because the teeth had been lost. rocking and cavities. 7 children had their 2nd molars extracted and 1 child had their canines extracted due to loose teeth and cavities. Conclusion: Based on the reasons why children do tooth extraction, that is because dental caries is the most common cause, followed by mobility and persistence.
Edukasi pemanfaatan daun kelor menjadi produk olahan pemberian makanan tambahan (PMT) balita di Desa Deunong, Aceh Besar
Authors: Khazanah Wiqayatun , Andriani Andriani , Hadi Abdul , Miko Ampera 
Published: April 2024

Latar Belakang : Daun kelor (Imoringa oleifera) terbukti secara ilmiah memiliki kandungan gizi dan obat berkhasiat, sehingga diyakini memiliki potensi untuk mengatasi kekurangan gizi, kelaparan, serta mencegah dan menyembuhkan berbagai penyakit. Permasalahan yang terjadi yaitu belum banyak masyarakat Indonesia yang mengonsumsi daun kelor dikarenakan karakteristik daun kelor memiliki bau yang khas dan tidak disukai. Tujuan : Secara umum kegiatan pengabdian pada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan masyarakat agar dapat mengolah berbagai makanan PMT dengan menggunakan daun kelor. Hasil Kegiatan : Dari hasil perolehan nilai rata-rata pengetahuan dan keterampilan peserta yang mengikuti pre-test dan post-test terlihat bahwa ada peningkatan pengetahuan peserta sebesar 14,5% yaitu dari 62,6% menjadi 77,1%. Kemudian, terjadi peningkatan juga terhadap rata-rata keterampilan peserta sebesar 13% yaitu dari 79% menjadi 92%. Kesimpulan: Edukasi tentang pemanfaatan daun kelor menjadi produk olahan pemberian makanan tambahan (PMT) balita ini memberikan dampak yang positif bagi peningkatan pengetahuan dan keterampilan tentang pemanfaatan daun kelor sebagai PMT balita.