bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between Marital Satisfaction and Severity of Symptoms in Patients with Irritable Bowel Syndrome (IBS)
Authors: Askarpour Hedie , Saeedi Amin , Raesi Rasoul , Daneshi Salman 
Published: July 2024

Background
Irritable Bowel Syndrome (IBS) is a functional ailment of the intestines characterized by altered defecation and abdominal irritation in the absence of detectable structural disorders.

Aim
The aim of the present study was to determine the association between marital satisfaction and the severity of symptoms in patients with IBS.

Methods
This is a cross-sectional study, which was conducted using available sampling on 77 IBS patients who were referred to internal specialists in specialized clinics in Jiroft City in 2022. Data were collected using IBS symptom severity and marital satisfaction questionnaires and analyzed using SPSS-22 statistical software and descriptive and inferential statistical tests.

Results
The severity of IBS symptoms had significant differences at different levels of three sub-criteria of the extent of marital satisfaction, level of satisfaction in marital relationships, and idealistic distortion of individuals in their marital life. However, this correlation was not significant in the sub-criterion of marital conflict resolution. Consequently, as a stressor, the level of marital satisfaction had a negative correlation with patients’ severity of symptoms.

Conclusion
The more severe the IBS symptoms, the higher the effect of psychological factors. Furthermore, the more severe the stress, the higher its effect on the severity of IBS symptoms. Managing problems in marital life can help control IBS symptoms. Paying attention to the problems of married life as a stressor in IBS patients by doctors and the cooperation of the treating doctor with psychologists in the treatment process of these patients can help in controlling the symptoms of these patients.
A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods
Authors: Sureshkumar Vidhushavarshini , Jaganathan Dhayanithi , Ravi Vinayakumar , Velleangiri Vinodhini , Ravi Pradeep 
Published: July 2024

Introduction
The thyroid is an endocrine gland located in the front of the neck whose main purpose is to produce thyroid hormones necessary for the functioning of the entire body. Thyroid hormones may be produced too little or too much depending on dysfunction. Since the 1990s, there have been an increasing number of thyroid illness cases, and in recent years, thyroid cancer has become the malignancy with the fastest rate of increase. According to recent studies, thyroid dysfunction affects 42 million people in India. Much research has provided solutions for thyroid classification.

Methods
In this paper, we survey various transfer learning models to classify thyroid nodules and predict the best accuracy. Our study evaluated several models, including DenseNet169, ResNet101, and various EfficientNet variants, using a comprehensive dataset comprising 7,893 images. DenseNet169 achieved the highest accuracy at 95.96%, followed by ResNet101 and EfficientNetB1, with accuracies of 94.74% and 86.14%, respectively. The models were rigorously tuned and optimized using grid search strategies, with hyperparameters such as learning rate, batch size, optimizer type, and dropout rate carefully selected to enhance performance. The evaluation included precision, recall, and F1 score metrics, ensuring balanced performance across different metrics.

Results
Our results demonstrate that advanced transfer learning models can distinguish malignancy from benign conditions with greater accuracy than traditional diagnostic approaches reliant on the human eye.

Conclusion
This research highlights the potential of integrating AI techniques in medical diagnostics to improve the accuracy and reliability of thyroid disease detection, ultimately leading to better patient outcomes.”
Administration of Citrullus colocynthis Linnaeus Extracts for the Treatment of Hypothyroid Obesity and Study of Thyroid Histology and Related Biochemical Indicators in Mice
Authors: Dahiya Vinesh , Vasudeva Neeru , Sharma Sunil , Kumar Ashok 
Published: July 2024

Background:
Hypothyroidism is characterized by decreased T3 and T4 levels and increased TSH levels. Hypothyroid obesity has been linked to numerous metabolic irregularities, such as slowed-down BMR. Citrullus colocynthis Linn. fruit has been utilized historically to decrease appetite and hence weight.

Objective:
This study aimed to study the administration of Citrullus colocynthis Linnaeus ex-tracts for the treatment of hypothyroidism-induced obesity in mice and related serum biochemi-cal parameters and thyroid histopathology.

Methods:
Hypothyroid obesity was brought about by giving the mice methimazole for 21 days consecutively. After that, the mice were given Citrullus colocynthis aqueous extract, alcoholic extract, and thyroxine standard for 21 days, and their ability to reverse the disease was examined. Blood samples were taken to estimate the serum biochemical parameters like normal thyroid hormone values, hypothyroidism-induced obesity hormone levels, and their levels after treat-ment with the test extracts. Lipid profile {Total Triglycerides, Total Cholesterol, Very Low-Density Lipoprotein, and High-Density Lipoprotein}, and physical parameters such as waist cir-cumference, body weight, and water and food and consumption were recorded. Heart and Liver were removed from each group of the mice for oxidative stress measurement via estimation of Catalase, MDA, and GSH levels. For histological examination, the thyroid glands of each group of mice were removed and examined.

Results:
GSH and Catalase levels of serum were significantly decreased (p<0.001); conversely, the MDA levels were increased significantly (p<0.001) in hypothyroid obese mice. MDA levels were decreased (p<0.0001) in the standard and test groups, while GSH and Catalase levels in-creased (p<0.0001) and moved toward normal values. The thyroid profile, lipid profile, and lev-els of TSH, TC, TGs, and VLDL were all increased after the introduction of hypothyroid obesity, whereas the levels of T3, T4 hormones, and HDL were dramatically decreased. The TSH (p<0.0001), TC (p<0.05), TGs (0.0001), and VLDL levels (p<0.0001) decreased following the treatment with standard drug and plant extracts, Catalase, and the levels of T3 (p<0.0001), T4 (p<0.0001), and HDL (p<0.0001) increased, moving towards the normal range. When compared to the control group, histological analysis and the thyroid gland of the hypothyroid obese group showed a significant reduction in colloid levels and a size-wise shrinkage of thyroid globules; in contrast, the thyroid globule size of the standard and test groups was shown to move towards the normal state.

Conclusion:
The Citrullus colocynthis extracts can be applied as a secure herbal remedy for hypothyroid obesity in mice, and clinical trials can be conducted in this field for the exploration of their potential in human subjects.
КОМОРБІДНІСТЬ АВТОІМУННОГО ТИРЕОЇДИТУ ТА ХВОРОБИ ПАРКІНСОНА
Authors: Гончарова Ольга , Завальна Олена 
Published: July 2024

Огляд результатів клінічних досліджень виявив значний зв’язок тиреопатології з підвищеним ризиком хвороби Паркінсона (ХП). Актуальним питанням на тепер є конкретизація впливу тиреоїдних гормонів і автоімунних порушень у хворих на ХП.
Мета роботи - встановити частоту автоімунної тиреоїдної патології у хворих на ХП.
Матеріали та методи. У 45 пацієнтів віком 50-7- років із діагнозом ХП різного ступеня важкості проведено УЗД щитоподібної залози (ЩЗ), оцінено тиреоїдний статус (рівні тиреотропного гормону (ТТГ) та вільного тироксину (Т4в)), а також показники антитиреооїдних антитіл до тиреопероксидази та тиреоглобуліна (АТТПО, АТТГ) та стимулюючих антитіл до рецепторів ТТГ (АТрТТГ) як показники стану гуморального антитиреоїдного імунітету.
Результати. Наявність автоімунної патології ЩЗ виявлена у 31 хворого на ХП (68,8 %). Найбільша кількість пацієнтів із АІТ спостерігалась на тлі тремтливої форми ХП (91,3%)%), на другому місці хворі на акінетико-ригідно-тремтливу форму (84,62%), третє місце – хворі на акінетико-ригідну форму (11,11%). За станом гормонального статусу у 25,8 % випадків був еутиреоз, у 54,8 % - гіпотиреоз, у 19,35% - гіпертиреоз. За даними УЗД ЩЗ в усіх випадках мала місце гетерогенність структури та потовщення капсули, що є ознаками АІТ.
Висновки. Пацієнти з автоімунною дисфункцією щитоподібної залози мають підвищений ризик розвитку хвороби Паркінсона. Наявність антитиреоїдних антитіл має асоціативний зв’язок із нейрон-дегенеративними розладами у т.ч. з хворобою Паркінсона.
МАСА ТІЛА ВАГІТНИХ І СИРОВАТКОВІ РІВНІ ІНСУЛІНУ ТА ЛЕПТИНУ ЯК ПРЕДИКТОРИ АНТРОПОМЕТРИЧНИХ ПОКАЗНИКІВ НОВОНАРОДЖЕНИХ
Authors: Остафійчук Світлана , Левицький Ігор , Кінаш Наталія , Дрогомирецька Наталія , Перхулин Оксана , Моцюк Юлія 
Published: July 2024

Актуальність. Вплив материнської надлишкової маси тіла пов’язані з макросомією дітей при народженні та розвитком ожиріння в майбутньому.
Мета дослідження. Дослідити взаємозв’язок між материнськими масою тіла і сироватковими рівнями інсуліну та лептину з масою тіла та зростом новонароджених.
Матеріали та методи. У дослідження залучено 209 вагітних з різним ІМТ до вагітності: 143 з нормальним, 18 з недостатнім, 23 з надлишковим та 25 з ожирінням. Обстеження жінок проводили в кожному триместрі вагітності (9-12, 22-24, 37-40 тижнів). Розраховували індекс маси тіла (ІМТ) (кг/м2), гестаційне збільшення маси тіла (ГЗМТ) (кг). Сироваткові концентрації інсуліну і лептину визначали методом імуноферментного аналізу. Результати статистично аналізували за допомогою Statistica 12.0 (StatSoft Inc., США) та пакету статистичного аналізу Microsoft Excel.
Результати. При надлишковому ІМТ/ожирінні у жінок до вагітності збільшуються шанси народження дітей з макросомією відповідно в 6,3 рази (OR=6,34; 95%CІ: 1,76-22,92; р<0,01) та в 8,9 рази (8,88; 2,69-29,36; р<0,001), а при недостатньому ІМТ зростають шанси дітей із малою масою при народженні в 7,9 разів (7,89; 1,90-32,79; р<0,01) порівняно з нормальним ІМТ. Відсоток малої маси тіла дітей в 5,7 разів вищий при недостатньому ГЗМТ, а частота випадків макросомії в 4,7 разів вища при надлишковому ГЗМТ порівняно з рекомендованим (у обох випадках р<0,05). При зростанні в другому триместрі концентрації інсуліну понад 11,3 мкМО/мл, лептину матері понад 20,8 нг/мл, збільшуються шанси народження дитини з масою тіла ≥ 4000 г ((3,94; 2,63-5,92; р<0,001) і (3,51; 1,32-10,14; р<0,05) відповідно. Шанси маси тіла при народженні < 2500 г були вищі при концентрації лептину в сироватці крові в середині вагітності <18,2 нг/мл (3,73; 1,40-10,21; р<0,05).
Висновки. Материнські концентрації інсуліну та лептину, асоційовані з масою тіла до вагітності та ГЗМТ, мають прямий взаємозв’язок із масою тіла дітей при народженні, без значущого зв’язку зі зростом.
АКРОМЕГАЛІЯ І ВАГІТНІСТЬ
Authors: Микитюк Мирослава , Хижняк Оксана , Караченцев Юрій , Ніколаєв Роман , Манська Катерина 
Published: July 2024

Діагностика та лікування акромегалії у вагітних є особливою клінічною проблемою, оскільки кількість описаних випадків є незначною, а діючі рекомендації базуються на підходах до лікування невагітних жінок з урахуванням специфіки фізіології вагітності. Ця публікація має на меті актуалізувати проблему діагностики та лікування гормонально-активних аденом гіпофіза з клінічними ознаками акромегалії під час вагітності.
В статті представлено чотири клінічних випадка вагітності жінок з гормонально-активною аденомою гіпофіза з клінічними проявами акромегалії.
Обговорюється проблема вагітності у жінок з акромегалією: вплив високих рівнів гормону роста і інсуліноподібного ростового фактору-1 в крові на організм вагітної і плід, самої вагітності на прогресування гормонально-активної аденоми гіпофіза і медикаментозного лікування на організм матері і плода.
Аналіз літератури та власний клінічний досвід свідчать про необхідність перегляду принципів диспансеризації хворих з акромегалією фертильного віку. Жінки з активною формою акромегалії мають бути проінформовані лікарем про можливість настання вагітності, методи контрацепції, ризики для матері і плоду в разі настання вагітності на тлі неадекватного клініко-гормонального контролю захворювання. Лікарі жіночої консультації повинні бути проінформовані щодо особливостей ведення вагітних з акромегалією, критеріїв діагностики акромегалії та оцінки стану клініко-гормонального контролю захворювання та показань до призначення патогенетичної терапії.
Ключові слова: гормонально-активна аденома гіпофіза, акромегалія, вагітність, гормон росту, інсуліноподібний ростовий фактор-1
Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review
Authors: AlSaad Rawan , Abd-alrazaq Alaa , Choucair Fadi , Ahmed Arfan , Aziz Sarah , Sheikh Javaid 
Published: July 2024

Background
In the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient’s response to ovarian stimulation can help in personalizing doses of drugs, preventing adverse outcomes (eg, hyperstimulation), and improving the likelihood of successful fertilization and pregnancy. Given the pivotal role of accurate predictions in IVF procedures, it becomes important to investigate the landscape of AI models that are being used to predict the outcomes of ovarian stimulation.

Objective
The objective of this review is to comprehensively examine the literature to explore the characteristics of AI models used for predicting ovarian stimulation outcomes in the context of IVF.

Methods
A total of 6 electronic databases were searched for peer-reviewed literature published before August 2023, using the concepts of IVF and AI, along with their related terms. Records were independently screened by 2 reviewers against the eligibility criteria. The extracted data were then consolidated and presented through narrative synthesis.

Results
Upon reviewing 1348 articles, 30 met the predetermined inclusion criteria. The literature primarily focused on the number of oocytes retrieved as the main predicted outcome. Microscopy images stood out as the primary ground truth reference. The reviewed studies also highlighted that the most frequently adopted stimulation protocol was the gonadotropin-releasing hormone (GnRH) antagonist. In terms of using trigger medication, human chorionic gonadotropin (hCG) was the most commonly selected option. Among the machine learning techniques, the favored choice was the support vector machine. As for the validation of AI algorithms, the hold-out cross-validation method was the most prevalent. The area under the curve was highlighted as the primary evaluation metric. The literature exhibited a wide variation in the number of features used for AI algorithm development, ranging from 2 to 28,054 features. Data were mostly sourced from patient demographics, followed by laboratory data, specifically hormonal levels. Notably, the vast majority of studies were restricted to a single infertility clinic and exclusively relied on nonpublic data sets.

Conclusions
These insights highlight an urgent need to diversify data sources and explore varied AI techniques for improved prediction accuracy and generalizability of AI models for the prediction of ovarian stimulation outcomes. Future research should prioritize multiclinic collaborations and consider leveraging public data sets, aiming for more precise AI-driven predictions that ultimately boost patient care and IVF success rates.
Early In-Bed Cycle Ergometry With Critically Ill, Mechanically Ventilated Patients: Statistical Analysis Plan for CYCLE (Critical Care Cycling to Improve Lower Extremity Strength), an International, Multicenter, Randomized Clinical Trial
Authors: Heels-Ansdell Diane , Kelly Laurel , O'Grady Heather K , Farley Christopher , Reid Julie C , Berney Sue , Pastva Amy M , Burns Karen EA , D'Aragon Frédérick , Herridge Margaret	S , Seely Andrew , Rudkowski Jill , Rochwerg Bram , Fox-Robichaud Alison , Ball Ian , Lamontagne Francois , Duan Erick H , Tsang Jennifer , Archambault Patrick M , Verceles Avelino C , Muscedere John , Mehta Sangeeta , English Shane W , Karachi Tim , Serri Karim , Reeve Brenda , Thabane Lehana , Cook Deborah , Kho Michelle E 
Published: July 2024

Background
Survivors of critical illness are at risk of developing physical dysfunction following intensive care unit (ICU) discharge. ICU-based rehabilitation interventions, such as early in-bed cycle ergometry, may improve patients’ short-term physical function.

Objective
Before unblinding and trial database lock, we describe a prespecified statistical analysis plan (SAP) for the CYCLE (Critical Care Cycling to Improve Lower Extremity Strength) randomized controlled trial (RCT).

Methods
CYCLE is a 360-patient, international, multicenter, open-label, parallel-group RCT (1:1 ratio) with blinded primary outcome assessment at 3 days post-ICU discharge. The principal investigator and statisticians of CYCLE prepared this SAP with approval from the steering committee and coinvestigators. The SAP defines the primary and secondary outcomes (including adverse events) and describes the planned primary, secondary, and subgroup analyses. The primary outcome of the CYCLE trial is the Physical Function Intensive Care Unit Test-scored (PFIT-s) at 3 days post-ICU discharge. The PFIT-s is a reliable and valid performance-based measure. We plan to use a frequentist statistical framework for all analyses. We will conduct a linear regression to evaluate the primary outcome, incorporating randomization as an independent variable and adjusting for age (≥65 years versus <65 years) and center. The regression results will be reported as mean differences in PFIT-s scores with corresponding 95% CIs and P values. We consider a 1-point difference in PFIT-s score to be clinically important. Additionally, we plan to conduct 3 subgroup analyses: age (≥65 years versus <65 years), frailty (Baseline Clinical Frailty Scale ≥5 versus <5), and sex (male versus female).

Results
CYCLE was funded in 2017, and enrollment was completed in May 2023. Data analyses are complete, and the first results were submitted for publication in 2024.

Conclusions
We developed and present an SAP for the CYCLE RCT and will adhere to it for all analyses. This study will add to the growing body of evidence evaluating the efficacy and safety of ICU-based rehabilitation interventions.

Trial Registration
ClinicalTrials.gov NCT03471247; https://clinicaltrials.gov/ct2/show/NCT03471247 and NCT02377830; https://clinicaltrials.gov/ct2/show/NCT02377830

International Registered Report Identifier (IRRID)
RR1-10.2196/54451
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Authors: Suh Jungyo , Lee Garam , Kim Jung Woo , Shin Junbum , Kim Yi-Jun , Lee Sang-Wook , Kim Sulgi 
Published: July 2024

Background
To circumvent regulatory barriers that limit medical data exchange due to personal information security concerns, we use homomorphic encryption (HE) technology, enabling computation on encrypted data and enhancing privacy.

Objective
This study explores whether using HE to integrate encrypted multi-institutional data enhances predictive power in research, focusing on the integration feasibility across institutions and determining the optimal size of hospital data sets for improved prediction models.

Methods
We used data from 341,007 individuals aged 18 years and older who underwent noncardiac surgeries across 3 medical institutions. The study focused on predicting in-hospital mortality within 30 days postoperatively, using secure logistic regression based on HE as the prediction model. We compared the predictive performance of this model using plaintext data from a single institution against a model using encrypted data from multiple institutions.

Results
The predictive model using encrypted data from all 3 institutions exhibited the best performance based on area under the receiver operating characteristic curve (0.941); the model combining Asan Medical Center (AMC) and Seoul National University Hospital (SNUH) data exhibited the best predictive performance based on area under the precision-recall curve (0.132). Both Ewha Womans University Medical Center and SNUH demonstrated improvement in predictive power for their own institutions upon their respective data’s addition to the AMC data.

Conclusions
Prediction models using multi-institutional data sets processed with HE outperformed those using single-institution data sets, especially when our model adaptation approach was applied, which was further validated on a smaller host hospital with a limited data set.
Pengembangan Personal Branding dalam Pendidikan Islam di Indonesia
Authors: Fatimah Nur 
Published: July 2024

This research is a literature study that aims to analyze studies on personal branding in the education area, especially islamic education in Indonesia. The search for the study was carried out online on the Google Scholar, Garuda and Moraref sites. To add insight into personal branding trends, a general search related to personal branding was also conducted, which resulted in findings that personal branding trends were found in the fields of business, politics and entertainment. Personal branding in the three fields has the same tendency, namely to use it as a strategy to influence people's perceptions of themselves and the products they produce. This study shows that personal branding is one of the soft skills development strategies for students. introduction training, The formation and development of personal branding is mostly done as an effort to provide students with insight into personal branding. With personal branding insight possessed by students, they are expected to be able to adapt and meet the demands of society and job seekers. In addition, educators also use personal branding as an effort to attract public interest in educational institutions and the learning materials it teaches.
A formação do livro de Números no contexto da composição pós-exílica do Pentateuco
Authors: Catenassi Fabrizio Zandonadi , Artuso Vicente , Rossi Luiz Alexandre Solano 
Published: July 2024

Esse artigo objetiva analisar a formação do livro de Números no contexto pós-exílio da composição do Pentateuco. Foi discutida a existência e coerência literária de um Triateuco de organização sacerdotal, cujo final era Lv 26, o qual estabelece relações literárias com textos precedentes e com o Deuteronômio. Então, analisamos a formação de Números pelas teorias que o posicionam próximo da redação final do Pentateuco, como ponte entre Gênesis–Levítico e Deuteronômio e entre a teologia sacerdotal e deuteronomista. A formação do livro compreende sucessivas redações suplementares aos textos existentes, com adaptações e comentários, o que é conhecido como Fortschreibung. Esse modelo tem implicações na pesquisa em Números. A busca pelo sentido do texto deve ser feita investigando a construção ideológica e teológica que está na base dos projetos literário-teológicos no período persa. Literariamente, o livro de Números deve apresentar conexões temáticas e estruturais com textos de Gênesis–Levítico e do Deuteronômio/História Deuteronomista. Isso demanda teorias explicativas sobre como esses materiais foram agrupados, justapostos e interpretados, uma vez que o processo redacional e editorial certamente não foi o mesmo que o do Triateuco e do Deuteronômio.