bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on epidemiology of endometriosis in North East India
Authors: Udupa Kalpana S. , Phukan Pranay , Saikia Nabajyoti , Dutta Aparna 
Published: May 2023

Background: Endometriosis is the presence of endometrial glands and/or stroma outside the uterus, predominantly in reproductive age. The prevalence is around 10% in women of reproductive age and is caused by combination of multiple genetic and environmental factors. Characterization of endometriosis can be learnt from epidemiological factors of the patients which influence on disease development and thus helpful in clinical diagnosis. Histological pictures after surgery may vary considerably and sometimes over diagnosis of the disease is not uncommon. The purpose of the study was to study the epidemiology of endometriosis in North East population of India and correlation of clinical and histopathological diagnosis.
Methods: It was a hospital based observational descriptive study carried out in Department of Obstetrics and Gynecology, AMCH, Dibrugarh, Assam, India. Detailed history and clinical presentations were elicited and relevant investigations were done. Operative findings and biopsy reports were correlated. All the findings were tabulated and statistically analyzed.
Results: Women in age group 30-39 years (48.31%) with mean BMI of 24.44±4.06 kg/m2, nulliparous (31.46%) or para 1(33.71%) formed the majority of study population. Majority had early age at menarche (11.45±1.24), irregular cycles, shorter cycle length, longer duration of flow. Majority (79.78%) had dysmenorrhea followed by dyspareunia (59.55%). Only 62.92% had biopsy proven endometriosis.
Conclusions: Epidemiological factors and clinical presentations guide in diagnosing endometriosis and should be given importance. Clinical diagnosis of endometriosis may not always correlate with histopathologic diagnosis and many other pathologies mimic endometriosis.
Induction of labour in pregnancies with fetal demise: a randomised control trial
Authors: Parmar Sanjay Prabhasbhai , Shah Maitri Chetan , Kumari Shipra , Solanki Vishnu Harkhabhai 
Published: May 2023

Background: The present study aims at comparing efficacy and safety of two different regimens of induction of labour (IOL) in pregnancies with fetal demise.
Settings and Design: A randomised controlled trial was conducted on 100 eligible pregnant women diagnosed with intrauterine fetal demise who were admitted in the labour ward of a tertiary care hospital.
Methods: All participants were randomly divided into two groups in group A and group B. In Group A, IOL was done with transcervical foley’s catheter and vaginal misoprostol while in group B, mifepristone with vaginal misoprostol were used for IOL. During intrapartum period the mode of delivery, induction-delivery interval, total dose of induction agent used and amount of total blood loss were noted. Any side effect if present was also noted.
Results: Comparing both the groups, Induction delivery interval was less in group A as compared to group B.
Conclusions: Use of mifepristone with misoprostol as well as Foley’s with misoprostol were found to be equally safe and effective methods.
A prospective observational study of post-partum intrauterine contraceptive device acceptance in a tertiary care centre
Authors: Bavdekar Nitin , Lewis Preeti F. , Sanjay Gupta Shusmita 
Published: May 2023

Background: Provision of PPIUCD is being rapidly scaled up in India with facilities in at least 19 states offering the method in 2013. According to National Family Health Survey (NFHS)-3, the prevalence of modern method of contraceptive use is 48.5% and all methods 56% in India. PPIUCD placement remains a viable option for patients who wish to use a long-acting reversible contraceptive (LARC) method and to have it placed at the time of their delivery. Hence, we planned this study with an aim to evaluate acceptability PPIUCD at tertiary care centre.
Methods: It was an observational and prospective study of acceptance of PPIUCD as a method of contraception in patients who delivered within the study period in our institute Grant Medical Hospital and College, Mumbai. Data analysis was done with statistical software SPSS V 25.0.
Results: A total of 2014 patients were enrolled in the study. The mean age was noted to be 25.87 years. Frequency of ANC visits among the patients was 4 to 6 (39.87%). Commonest obstetric history finding was previous live birth history in 59.38% cases. Pregnancy outcome was vaginal delivery noted in 63.01% of the females. 879 (43.65%) cases accepted PPIUCD. For those who did not accept PPIUCD, commonest cause was tubal ligation in 34.19%, followed by fear of pain in 18.94%, partner’s refusal in 10.31%.
Conclusions: The acceptance rate in study for PPIUCD was 43.65% which was higher than most of the published evidence. The common reasons for not accepting PPIUCD were tubal ligation.
Comparison of ferric carboxymaltose and iron sucrose for treatment of iron deficiency anemia in pregnancy at tertiary care centre, Western India
Authors: Papaniya Twinkle D. , Parmar Mehul T. , Solanki Harsha M. 
Published: May 2023

Background: Iron deficiency anemia is the most common haematological health problem among pregnant women but can be prevented by effective measure. The study aimed to evaluate the efficacy and safety of intravenous ferric carboxymaltose (FCM) in comparison with intravenous Iron sucrose (IS) for treatment of iron deficiency anemia in pregnancy.
Methods: A prospective interventional comparative study was conducted from (June 2021-June 2022) at a tertiary care hospital. Pregnant women diagnosed with moderate to severe iron deficiency anaemia were screened for the study. One hundred patients were randomized to receive either intravenous FCM or IS. Treatment effectiveness was assessed by repeat Haemoglobin (Hb) and RBC indices measurement after 4 weeks of completion of therapy. Safety was assessed by analysis of adverse drug reactions during infusion and 2 hours after infusion.
Results: Mean rise in Hb at 4 weeks was significantly higher in FCM group (1.67±0.47 Vs 1.07±0.25; p<0.0001) as compared to IS group. There was also rise in other biochemical parameters like MCV and MCHC in both groups. Numbers of visits were significantly less in FCM group. No serious adverse events were noted in either group.
Conclusions: Intravenous ferric carboxymaltose is more effective and safer as compared to intravenous iron sucrose in the management of anemia during pregnancy. It has advantage to administer large dose in single sitting which reduce overall cost of therapy and hence will lead to better compliance in community setting.
Assessment of outcome of trial of labour after caesarean in a tertiary hospital based setting: prospective observational study
Authors: Bhardwaj Mahak , Gainder Shalini , Chopra Seema , Bagga Rashmi 
Published: May 2023

Background: Aim of this study was to determine the success rate of vaginal birth after caesarean (VBAC) in Indian women, identify the factors that predict its success, and assess the maternal and neonatal outcomes following a trial of labour after caesarean (TOLAC).
Methods: A prospective observational study involving women with one previous lower segment caesarean section (LSCS) who were admitted for TOLAC between January 2019 and June 2020 at Department of Obstetrics and Gynaecology, Post Graduate Institute of Medical Education and Research, Chandigarh, India. There were 124 women with previous LSCS who opted for TOLAC.
Results: During the study period, 124 women with previous LSCS who opted for TOLAC were included, of whom 68 (54.8%) had successful VBAC and 56 (45.2%) had failed TOLAC. The induction of labour (IOL) rate in the study was 69.4%, and 30.6% of women had spontaneous onset of labor. VBAC rates were significantly higher in women who went into labour spontaneously (84.2% vs. 15.8%). Maternal complication rates were comparable, whereas the neonatal complication rate was significantly higher in neonates born by CS (51.7% vs. 30.8%), with a greater incidence of low birthweight (LBW) and transient tachypnea in the newborn (TTNB).
Conclusions: TOLAC can be considered a safe option for women with a previous caesarean when combined with vigilant and stringent labour monitoring, despite the use of IOL agents.
A case series of invasive pneumococcal disease in children
Authors: B. Baburaj , Cherian Carol Sara , Abraham Jacob , Jacob Aneeta Mary 
Published: May 2023

Invasive pneumococcal disease (IPD) has a high clinical burden, particularly among children in developing countries. We presented 4 cases of IPD in children who were admitted to Pushpagiri institute of medical science and research centre, Kerala between 2021 and 2022. While our first 3 patients had milder course of disease, our fourth patient who presented with severe pneumonia with pleural effusion had poor outcome. The fact that three out of four of our patients have not received pneumococcal vaccination marks the necessity of this vaccine to prevent IPD in children.
Algorithms for Monitoring the Effectiveness of Therapeutic and Rehabilitation Procedures Based on Clinical Blood Analysis Indicators in the Medical Decision Support System
Authors: Butusov A. V. , Kiselev A. V. , Petrunina E. V. , Safronov R. I. , Pesok V. V. , Pshenichniy A. E. 
Published: May 2023

The purpose of research is development of algorithms for a computer system for monitoring the effectiveness of therapeutic procedures in terms of clinical blood analysis.Methods. A set of algorithms has been developed for a computer system for monitoring the effectiveness of medicinal prescriptions based on the results of a clinical blood test, including an algorithm for analyzing the dynamics of intercellular ratios in a clinical blood test, an algorithm for filling in a database, an algorithm for forming a base of decisive rules, an algorithm for analyzing the sensitivity of a decisive rule.Results. To determine the effectiveness of the treatment plan, it is proposed to evaluate intercluster distances between clustered pathological conditions using the PNN-FNN-FNN* neural network, built on a hybrid basis using probabilistic neural networks and fuzzy decision-making logic. The proposed structure of the PNN-FNN-FNN* hybrid neural network contains three macrolayers. The number of modules in macrolayers is equal to the number of selected clusters of the monitored disease. The first macrolayer consists of blocks of probabilistic neural networks, the number of which in each module is determined by the number of segments allocated in the space of informative features. The second and third macrolayers consist of two-layer fuzzy neural networks. The fuzzy neural network module with the FNN* structure is a block-type macrolayer, each of the blocks of which consists of two layers.Conclusion. Approbation of monitoring algorithms was carried out on an experimental group of patients with benign prostatic hyperplasia and patients with prostate cancer. Experimental studies of the classification quality indicators of a hybrid neural network with the PNN-FNN-FNN* structure in monitoring the effectiveness of treatment of urological patients have shown diagnostic indicators that allow us to recommend it for use in medical decision support systems when monitoring the effectiveness of treatment of urological patients.
Investigation of the Effectiveness of Usage of Graph Databases for Big Data Analysis
Authors: Fatkullin R. V. , Kislitsyn E. V. 
Published: May 2023

The purpose of research. The purpose of this work is to study graph models of databases and develop a methodology for comparative analysis of database models. The theoretical and methodological basis of the study was the fundamental scientific works of domestic and foreign authors in the field of basic problems of database theory, algorithm theory, graph theory, data processing structures and methods.Methods. The paper uses methods of structural, comparative and content analysis, as well as statistical methods of information processing and methods of graph theory. As a result of the conducted research, the authors justified the features, advantages and disadvantages of using a graph data model.Results. The relevance of this study is due to the intensive development of information technologies intended for the economic development of the country, the pandemic and the geopolitical situation in the world. These prerequisites orient researchers to use new methods of data processing and analysis. However, it is possible to optimize big data processing processes not only with the help of powerful new algorithms, but also with the use of fundamentally different data structures and models other than relational.The paper presents applied examples of using the graph model of databases in various subject areas. A method of comparative analysis of data models in relation to big data analysis has been developed. The main points of data model design are highlighted: system scaling, compliance with requirements and standards, the ability to change data model structures, language complexity, performance and data processing speed. The proposed technique made it possible to numerically evaluate the effectiveness of graph models. Conclusion. The theoretical significance of the research consists in the development of methodological and technological approaches to the analysis of big data and the formation of structures and databases. The practical results of the study can be useful to large IT companies, as well as to the financial, logistics and commercial sectors, where the problem of big data analysis and research is most acute.
Development of a Software and Information System for Testing the Emotional Sphere of a Person
Authors: Tomakova R. A. , Reutov D. K. , Astapov E. A. , Lyakhov S. Yu. , Nefedov N. G. 
Published: May 2023

The purpose of research is to develop a software and information system for conducting psychological testing of the emotional sphere of a person, with the possibility of determining the diagnosis for subsequent consultation with a psychologist.Methods. To implement the software system, the C# programming language was used using libraries: Net Framework 4.7.2, ASP.NET Core. To form the tests, the methods of "Determination of emotionality" by V. V. Suvorova, express diagnostics of the tendency to affective behavior by V. V. Boyko, express diagnostics of the tendency to hyperthymia by V. V. Boyko, express diagnostics of the personal tendency to low mood (dysthymia) by V. V. Boyko, "Tendency to euphoria" by V. V. Boyko, "Determination of the state of frustration" V. V. Boyko. The input data of the program are the user's responses, and the diagnosis calculated based on the test results obtained. The MSSQL Server 2014 DBMS was used for data storage.Results. As a result of the development of the software product, the interface and architecture of the program were developed. Implemented functionality for testing according to the above methods. An algorithm has been developed designed to diagnose the psychoemotional state of the individual, in accordance with the test results obtained. In the course of the conducted studies, it was shown that the accuracy of the methods is 95%. A database has been developed to store information about users, their roles, as well as information about questions included in tests for their interaction. The test results showed that the software system fully meets the functional requirements and is ready for use.Conclusion. The developed web-service allows psychological testing of the emotional sphere of a person according to certain methods, with the possibility of determining the diagnosis for further interaction with a psychologist. The prospect of further development is to expand the functionality of the created software and information system by adding new methods of express diagnostics of psychological or emotional states of a person.
Approaches to Determining the Residual Life of the Main Components of the Helicopter, Taking Into Account the Flight Profiles Performed
Authors: Sizonov I. I. , Barabushka A. S. , Mukhin I. E. 
Published: May 2023

The purpose of research is development of an alternative approach to determining the residual life of the product, based on the conversion of the energy of deformed power elements of the airframe structure into the consumption of an equivalent product resource through a monitoring system based on fiber-optic strain sensors.Methods. The analysis of existing methods for assessing the technical condition of the main components of aircraft products and determining their residual life based on information about the technical condition, on the basis of which the synthesis of the algorithm for determining the residual life of the main components of the helicopter, taking into account the technical condition, was carried out.Results. In the course of the study, the existing methods of assessing the technical condition of the product were classified. The shortcomings in the existing concept of determining the residual resource are indicated, the main of which is the lack of the possibility of predicting the residual resource based on the technical condition of the object (operational history). An alternative approach to determining the residual life of the main components of the helicopter is proposed, with an explanation of the approximate methodology for assessing the technical condition of the main components and the product as a whole, the composition and description of the main stages of the implementation of this approach. The composition and the sensitive element in the control system of the current technical condition of the main components of the product are determined. A fiber-optic sensor with a Bragg grid (fiber-optic pressure sensor ВОДД-1.XXX ПИКВ.401143.003 ТУ) was selected as a sensitive element for the implementation of the monitoring system.Conclusion. The proposed approach to determining the residual life of the main components of the helicopter combines high reliability indicators, which is due to the fixation of the operation history of a particular helicopter, the simplicity of determining the residual life of the product and the absence of the need for special measuring instruments in operating companies.
Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study
Authors: Taira Kazuya , Itaya Takahiro , Hanada Ayame 
Published: May 2023

Background
ChatGPT, a large language model, has shown good performance on physician certification examinations and medical consultations. However, its performance has not been examined in languages other than English or on nursing examinations.

Objective
We aimed to evaluate the performance of ChatGPT on the Japanese National Nurse Examinations.

Methods
We evaluated the percentages of correct answers provided by ChatGPT (GPT-3.5) for all questions on the Japanese National Nurse Examinations from 2019 to 2023, excluding inappropriate questions and those containing images. Inappropriate questions were pointed out by a third-party organization and announced by the government to be excluded from scoring. Specifically, these include “questions with inappropriate question difficulty” and “questions with errors in the questions or choices.” These examinations consist of 240 questions each year, divided into basic knowledge questions that test the basic issues of particular importance to nurses and general questions that test a wide range of specialized knowledge. Furthermore, the questions had 2 types of formats: simple-choice and situation-setup questions. Simple-choice questions are primarily knowledge-based and multiple-choice, whereas situation-setup questions entail the candidate reading a patient’s and family situation’s description, and selecting the nurse's action or patient's response. Hence, the questions were standardized using 2 types of prompts before requesting answers from ChatGPT. Chi-square tests were conducted to compare the percentage of correct answers for each year's examination format and specialty area related to the question. In addition, a Cochran-Armitage trend test was performed with the percentage of correct answers from 2019 to 2023.

Results
The 5-year average percentage of correct answers for ChatGPT was 75.1% (SD 3%) for basic knowledge questions and 64.5% (SD 5%) for general questions. The highest percentage of correct answers on the 2019 examination was 80% for basic knowledge questions and 71.2% for general questions. ChatGPT met the passing criteria for the 2019 Japanese National Nurse Examination and was close to passing the 2020-2023 examinations, with only a few more correct answers required to pass. ChatGPT had a lower percentage of correct answers in some areas, such as pharmacology, social welfare, related law and regulations, endocrinology/metabolism, and dermatology, and a higher percentage of correct answers in the areas of nutrition, pathology, hematology, ophthalmology, otolaryngology, dentistry and dental surgery, and nursing integration and practice.

Conclusions
ChatGPT only passed the 2019 Japanese National Nursing Examination during the most recent 5 years. Although it did not pass the examinations from other years, it performed very close to the passing level, even in those containing questions related to psychology, communication, and nursing.
HUBUNGAN POWER OTOT LENGAN DAN KEKUATAN MENGGENGGAM TERHADAP PUKULAN FOREHAND TENIS LAPANGAN PADA ATLET SADAR TENIS CLUB
Authors: Wulan Krisna Dewi Ni Putu , Agus Dharmadi Made , Tuti Ariani Luh Putu 
Published: May 2023

AbstrakPukulan forehand sangat dipengaruhi komponen fisik, diantaranya power otot lengan, kekuatan menggenggam dan kekuatan otot lengan. Penelitiansini bertujuan untuk mengetahui hubungan power otot lengan terhadap pukulan forehand dalam permainan tenis lapangan pada atlet Sadar Tenis Club, hubungan kekuatan menggenggam dengan pukulan forehand permainan tenis lapangan pada atlet Sadar Tenis Club, dan hubungan power otot lengan dan kekuatan menggenggam terhadap pukulan forehand dalam permainan tenis lapangan pada atlet Sadar Tenis Club. Subjek penelitian berjumlah 15 orang atlet Sadar Tenis Club yang dipilih dengan menggunakan teknik random sampling yang berjumlah dengan populasi 20 orang. Analisis data dilakukan dengan menggunakan teknik statistik dengan analisis kolerasi regresi product moment. Hasil penelitian ini menunjukkan bahwa hasil perhitungan pada variabel power otot lengan (X1) terhadap pukulan forehand (Y) dengan peroleh hasil yaitu 0,741 artinya bahwa hubungan antara power otot lengan dengan pukulan forehand termasuk dalam kategori kuat. Berdasarkan hasil penelitian yang dilakukan, maka diperoleh hasil perhitungan pada variabel kekuatan menggenggam (X2) terhadap pukulan forehand (Y) dengan perolehan hasil 0,947 yang artinya bahwa hubungan antara kekuatan menggenggam dengan pukulan forehand termasuk dalam kategori sangat kuat. Hasil perhitungan pada variabel power otot lengan (X1) dan kekuatan menggenggam (X2) terhadap pukulan forehand (Y) dengan perolehan hasil 0,953 artinya bahwa hubungan power otot lengan dan kekuatan menggenggam dengan pukulan forehand termasuk dalam kategori sangat kuat. Maka dapat disimpulkan bahwa terdapat hubungan yang signifikan antara power otot lengan dan kekuatan menggenggam terhadap pukulan forehand pada atlet Sadar Tenis Club.