bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETROSPECTIVE ANALYSIS OF THE CLINICAL AND ANAMNESTIC FEATURES OF PATIENTS WITH INFERTILITY AND FAILED IVF ATTEMPTS IN THE ANAMNESIS ON THE BACKGROUND OF UTERINE LEIOMYOMA AND CHRONIC ENDOMETRITIS
Authors: Khmil S.V. , Petryshyn N.Ya. 
Published: October 2023

Резюме. Мета. Провести порівняльний аналіз клініко-анамнестичної картини пацієнток із безпліддям та невдалими спробами ЕКЗ в анамнезі при коморбідності лейоміоми матки та хронічного ендометриту.
Матеріали та методи. Проведено ретроспективний аналіз амбулаторних карток 130 пацієнток з безпліддям. Для проведення аналізу пацієнток розділили на три клінічні групи. Першу групу дослідження склали 47 жінок із невдалими спробами ЕКЗ та лейоміомою матки, другу – 53 жінки із безпліддям на тлі лейоміоми матки та хронічного ендометриту (у пацієнток цієї групи також наявні невдалі спроби ЕКЗ в анамнезі). Третю (контрольну) групу порівняння склало 30 пацієнток із безпліддям, обумовленим чоловічим фактором.
Результати. Клініко-анамнестична картина жінок з лейоміомою матки та хронічним ендометритом характеризується порушеннями репродуктивної функції. Найчастіші скарги включають зміну характеру та ритму менструації, в тому числі аномальні маткові кровотечі, звичне невиношування, безпліддя, синдром хронічного тазового болю, в тому числі диспареунія, та білі із статевих шляхів. Дані вказують на збільшену частоту урогенітальних інфекцій та більшу кількість перенесених оперативних втручань як факторів розвитку ХЕ та ЛМ. Аналіз анамнестичних даних жінок з ЛМ та ХЕ встановив превалювання вторинної форми безпліддя та наявність попереднього його лікування, в тому числі за допомогою ДРТ. Невдалі спроби ЕКЗ зафіксовано у всіх групах, включених в дослідження. Кількість проведених стимуляцій овуляції в протоколах ЕКЗ коливалась від 1 до 3, а спроб ембріотрансферу у цих же пацієнток – від 2 до 5.
Висновки. Отримані результати ретроспективного аналізу вказують на характерні клініко-анамнестичні особливості у пацієнток із безпліддям на тлі коморбідності лейоміоми матки та хронічного ендометриту. Наявність в анамнезі невдалих спроб ЕКЗ обгрунтовують подальший науковий пошук для оптимізації тактики ведення таких пацієнток в програмах допоміжних репродуктивних технологій.
Performance of ChatGPT on Nephrology Test Questions
Authors: Miao Jing , Thongprayoon Charat , Garcia Valencia Oscar A. , Krisanapan Pajaree , Sheikh Mohammad S. , Davis Paul W. , Mekraksakit Poemlarp , Suarez Maria Gonzalez , Craici Iasmina M. , Cheungpasitporn Wisit 
Published: October 2023

Background
ChatGPT is a novel tool that allows people to engage in conversations with an advanced machine learning model. ChatGPT's performance in the US Medical Licensing Examination is comparable with a successful candidate's performance. However, its performance in the nephrology field remains undetermined. This study assessed ChatGPT's capabilities in answering nephrology test questions.

Methods
Questions sourced from Nephrology Self-Assessment Program and Kidney Self-Assessment Program were used, each with multiple-choice single-answer questions. Questions containing visual elements were excluded. Each question bank was run twice using GPT-3.5 and GPT-4. Total accuracy rate, defined as the percentage of correct answers obtained by ChatGPT in either the first or second run, and the total concordance, defined as the percentage of identical answers provided by ChatGPT during both runs, regardless of their correctness, were used to assess its performance.

Results
A comprehensive assessment was conducted on a set of 975 questions, comprising 508 questions from Nephrology Self-Assessment Program and 467 from Kidney Self-Assessment Program. GPT-3.5 resulted in a total accuracy rate of 51%. Notably, the employment of Nephrology Self-Assessment Program yielded a higher accuracy rate compared with Kidney Self-Assessment Program (58% versus 44%; P < 0.001). The total concordance rate across all questions was 78%, with correct answers exhibiting a higher concordance rate (84%) compared with incorrect answers (73%) (P < 0.001). When examining various nephrology subfields, the total accuracy rates were relatively lower in electrolyte and acid-base disorder, glomerular disease, and kidney-related bone and stone disorders. The total accuracy rate of GPT-4's response was 74%, higher than GPT-3.5 (P < 0.001) but remained below the passing threshold and average scores of nephrology examinees (77%).

Conclusions
ChatGPT exhibited limitations regarding accuracy and repeatability when addressing nephrology-related questions. Variations in performance were evident across various subfields.
Germination of Camelina sativa producing modified fatty acids under low temperature conditions
Authors: Ballenger Joe , Kenney Sam , Gordon Jared , Brown Autumn , Fischer Annika , Lingwan Maneesh , Gutierrez Katia , Allen Doug , Gehan Malia 
Published: October 2023

Plants store carbon as oil in their seeds, which is a resource that
needs to be mobilized in order to germinate. Camelina sativa is a
prospective biofuel crop which has the potential to be used as a cover
crop in corn and soy growing regions. Camelina plants have been
engineered to produce medium-chain fatty acids useful in the production
of biofuels, lubricants, and other products. To test suitability of
these modified Camelina lines for growth in cool climates such as
those found in the midwestern US, we performed germination tests on
seeds in growth chambers at temperatures similar to those encountered in
early season in corn-growing regions (6°C, 15°C, and 22°C). Controls
were the untransformed background Suneson genotype, as well as plants
from the far northern and southern ranges of C. sativa.
Germinating seedlings were imaged using Raspberry Pis, and analyzed with
PlantCV for the number of plants and the cotyledon area. To determine
effects of seed fatty acid content later in the growth cycle, seedlings
were transplanted and grown at 22°C until seed set. These plants were
imaged every 20 days to track height, width, area, and solidity using
PlantCV to analyze the data.
COVID-19 Vaccination Prior to SARS-CoV-2 Infection Reduced Risk of Subsequent Diabetes Mellitus: A Real-World Investigation Using U.S. Electronic Health Records
Authors: Hsieh Tina Yi Jin , Chang Renin , Yong Su-Boon , Liao Pei-Lun , Hung Yao-Min , Wei James Cheng-Chung 
Published: October 2023

OBJECTIVE
Previous studies have indicated a bidirectional correlation between diabetes and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, no investigation has comprehensively explored the potential of coronavirus disease 2019 (COVID-19) vaccination to reduce the risk of new-onset diabetes in infected individuals.

RESEARCH DESIGN AND METHODS
In the first of 2 cohorts, we compared the risk of new-onset diabetes between individuals infected with SARS-CoV-2 and noninfected individuals (N = 1,562,606) using the TriNetX database to validate findings in prior literature. For the second cohort, we identified 83,829 vaccinated and 83,829 unvaccinated COVID-19 survivors from the same period. Diabetes, antihyperglycemic drug use, and a composite of both were defined as outcomes. We conducted Cox proportional hazard regression analysis for the estimation of hazard ratios (HRs) and 95% CIs. Kaplan-Meier analysis was conducted to calculate the incidence of new-onset diabetes. Subgroup analyses based on age (18–44, 45–64, ≥65 years), sex (female, male), race (White, Black or African American, Asian), and BMI categories (&lt;19.9, 20–29, 30–39, ≥40), sensitivities analyses, and a dose-response analysis were conducted to validate the findings.

RESULTS
The initial cohort of patients infected with SARS-CoV-2 had a 65% increased risk (HR 1.65; 95% CI 1.62–1.68) of developing new-onset diabetes relative to noninfected individuals. In the second cohort, we observed that vaccinated patients had a 21% lower risk of developing new-onset diabetes in comparison with unvaccinated COVID-19 survivors (HR 0.79; 95% CI 0.73–0.86). Subgroup analyses by sex, age, race, and BMI yielded similar results. These findings were consistent in sensitivity analyses and cross-validation with an independent data set from TriNetX.

CONCLUSIONS
In conclusion, this study validates a 65% higher risk of new-onset diabetes in SARS-CoV-2–infected individuals compared to noninfected counterparts. Furthermore, COVID-19 survivors who received COVID-19 vaccinations experienced a reduced risk of new-onset diabetes, with a dose-dependent effect. Notably, the protective impact of COVID-19 vaccination is more pronounced among the Black/African American population than other ethnic groups. These findings emphasize the imperative of widespread vaccination to mitigate diabetes risk and the need for tailored strategies for diverse demographic groups to ensure equitable protection.
Luxury, slow and fast fashion: A case study on the (un)sustainable creating of shared values
Authors: MacGregor Pelikánová Radka , Sani Margherita 
Published: October 2023

Research background: Since crises magnify differences and bring both challenges and opportunities, the current complex global setting makes the mutual interconnection a fundamental platform meant to create confidence and also to lead to a unique strategic advantage. Due to its inherent particularities, the fashion industry is a relevant sphere for performing a categorial reflective triangulation study about the understanding and employment of creating shared values (CSV) within the EU framework.
Purpose of the article: The purpose of the article is to research, analyze and critically highlight how CSV is approached by archetypical fashion industry businesses from all three fundamental segments (luxury, fast, slow) and how this fits into the EU law framework.
Methods: A categorial reflective triangulation study in four steps is performed while using a content analysis, empirical field observation, qualitative manual Delphi approach and critical juxtaposition with glossing and Socratic questioning. Firstly, 30 archetypical fashion industry businesses are identified and split into luxury, slow and fast fashion segments. Secondly, for each business, research is done on how it identifies its CSVs. Thirdly, the verification of these CSVs is performed in order to confirm or reject the genuineness. Fourthly, the results are projected into the EU framework.
Findings & value added: Based on the performed study and its critical analysis, there appear extremely interesting dynamics in the CSV perception and strategies by luxury, slow and fast fashion businesses with a clear overlap in the EU sphere. In particular, fashion businesses from all three segments take into consideration sustainability and the fight against waste, but each segment has a different pro-CSV strategy to do so, and it is critical to contemplate which of these three strategies will become sustainable.
Screening anti-fatigue components of American ginseng saponin by analyzing spectrum–effect relationship coupled with UPLC-Q-TOF-MS
Authors: Lin Meiyu , Hu Shaiping , Zeng Qi , Xiao Bixia , He Yao 
Published: October 2023

Abstract

Background
American ginseng has an obvious anti-fatigue effect, but the effective material basis is still unclear. The spectrum–effect relationship is a scientific method that studies the correlations between chemical spectra and pharmacological effect.

Objective
To reveal the real bioactive compounds in American ginseng saponin (AGS) based on a study of the underlying correlations between these compounds’ occurrence in rat serum after their intake of AGS and the anti-fatigue effect of AGS.

Methods
We utilized ultra-performance liquid chromatography (UPLC) with quadrupole and time-of-flight mass spectrometry (Q-TOF-MS) to analyze the extract of AGS and its constituents in serum after oral administration in rats. The anti-fatigue effect of AGS in rats was measured using the time weight-bearing swimming technique, the content of blood urea nitrogen, hepatic glycogen, and blood lactic acid. The relationship between the peak area values in fingerprints from rat serum and pharmacodynamic parameters of AGS was established using correlation analysis with partial least square regression (PLSR) method and gray correlation method.

Results
We detected and identified 22 compounds from extract, and 8 prototype components from serum. Through PLSR and gray correlation method, it was found that the ginsenosides Re, Rb1, and Rb2 were significantly positively related to the pharmacodynamic data.

Conclusions
Based on the spectrum–effect relationship, PLSR and gray correlation method can be used to screen for the anti-fatigue components available in AGS. Such an approach is of practical significance as it provides an effective means for exploring the material basis for the efficacy of American ginseng, particularly as an anti-fatigue agent.
In silico prediction of deleterious non-synonymous SNPs in STAT3
Authors: Ajith Athira , Subbiah Usha 
Published: October 2023

Abstract

Background

STAT3, a pleiotropic transcription factor, plays a critical role in the pathogenesis of autoimmunity, cancer, and many aspects of the immune system, as well as having a link with inflammatory bowel disease. Changes caused by non-synonymous single nucleotide polymorphisms (nsSNPs) have the potential to damage the protein's structure and function.

Objective
We identified disease susceptible single nucleotide polymorphisms (SNPs) in STAT3 and predicted structural changes associated with mutants that disrupt normal protein–protein interactions using different computational algorithms.

Methods
Several in silico tools, such as SIFT, PolyPhen v2, PROVEAN, PhD-SNP, and SNPs&GO, were used to determine nsSNPs of the STAT3. Further, the potentially deleterious SNPs were evaluated using I-Mutant, ConSurf, and other computational tools like DynaMut for structural prediction.

Result
417 nsSNPs of STAT3 were identified, 6 of which are considered deleterious by in silico SNP prediction algorithms. Amino acid changes in V507F, R335W, E415K, K591M, F561Y, and Q32K were identified as the most deleterious nsSNPs based on the conservation profile, structural conformation, relative solvent accessibility, secondary structure prediction, and protein–protein interaction tools.

Conclusion
The in silico prediction analysis could be beneficial as a diagnostic tool for both genetic counseling and mutation confirmation. The 6 deleterious nsSNPs of STAT3 may serve as potential targets for different proteomic studies, large population–based studies, diagnoses, and therapeutic interventions.
Changes of the gait induced by two different conservative methods applied to correct flexible flat feet in children 5 to 9 years old: foot orthoses vs foot orthoses supplemented with Zukunft-Huber manual therapy
Authors: Boryczka-Trefler Anna , Kalinowska Małgorzata , Szczerbik Ewa , Stępowska Jolanta , Łukaszewska Anna , Syczewska Małgorzata 
Published: October 2023

Abstract

Study aim: A flexible flat foot (FFF), one of the most common postural deformities among children, should not be perceived as an isolated problem of static alignment of foot and ankle, but as a part of dynamic biomechanical chain of a lower extremity, pelvis, and lower back. The aim of the study was to compare the impact of two methods, used for treating FFF, on the gait pattern in children after 12 months treatment.

Material and methods: 49 study participants with FFF were randomly assigned to one of the two intervention methods. One group was treated with foot orthoses (FOs), the other group with manual therapy, corrective bandaging and FOs.

Results: After one year of therapy, no significant differences were observed within either group before and after treatment regarding dimensional, spatio-temporal parameters, and ground reaction forces. However, noteworthy changes emerged in hip flexion moment, ankle plantar flexion moment, and ankle power in the group treated with the combined method. In the FOs-treated group, significant changes were found in ankle plantar flexion moment and ankle power.

Conclusion: The observed changes in joints’ peak moments and powers in both groups were positive changes, but the combine method seems to be more effective than wearing FOs only.
Numerical approximation in the application of Risk Parity with Conditional Value at Risk in case of mixed portfolios
Authors: Veliu Denis 
Published: October 2023

Abstract
The 2008 financial crisis has required new methods for portfolios diversification. In the same year, Maillard, Roncalli and Teiletche (2008) suggested a method that maximizes the diversification which is called Risk Parity or Equally weighted Risk Contribution strategy. The most common method to use the Risk Parity approach is to use the standard deviation as risk measure. In this paper, we describe a method to apply Risk Parity to the Expected shortfall or also known as Conditional Value at Risk using a numerical approximation from discrete historical observation. The expected shortfall can use the advantage of being a coherent measure, not to forget that it is also a convex measure, which is very useful in the optimization. Another advantage is that the Risk Parity approach doesn’t need the estimation of the expected return as an input. Usually, the models that require the expected returns, such as the Markowitz, model have higher concentration in a smaller number of assets. This will bring a very high turnover and drawdown of the performance. The performance analysis in this paper is applied in mixed portfolios composed by stock, bonds and commodities. They show also how better this model performs in case of the crisis. We also identify not only the strong points but also the week points of these models.
Communication and creativity of managers in the context of effective management in organizations in the Republic of North Macedonia
Authors: Zenku Imer , Dimovska Marija K. 
Published: October 2023

Abstract
The increased awareness of the key role of effective management for the success of modern organizations in conditions of globalization has led to numerous questions about the mechanisms that determine the variability of this significant phenomenon. The purpose of this paper is to understand the factors that influence the process of effective management, with a focus on communication skills. This paper investigated the influence of communication skills among managers on effective management in organizations in the Republic of North Macedonia. The paper has a theoretical and empirical character, and the research is oriented towards determining the connection between the communication competencies of managers and management styles. The findings confirm that communication competences are a prerequisite for effective management that includes leadership, and that managers with different levels of communication competence will prefer different management styles. The findings suggest significant links between the three-dimensional integrated management model that is theoretically and operationally defined as a combination of transformational, transactional and liberal management styles with the communication model. These findings speak about the importance of communication skills, which increase with the level of a managerial position where transformational management styles dominate and confirmed the assumption that good and creative communication plays an important role in effective management and becomes crucial in today’s world at all organizational levels.
Variations of growth and wood traits in standing trees of the third-generation Acacia mangium families in Indonesia
Authors: Masendra  , Nezu Ikumi , Ishiguri Futoshi , Hidayati Fanny , Nirsatmanto Arif , Sunarti Sri , Surip  , Kartikaningtyas Dwi , Takashima Yuya , Takahashi Yusuke , Ohshima Jyunichi , Yokota Shinso 
Published: October 2023

Abstract
The breeding of a fast-growing tree species, Acacia mangium Willd. has entered the third-generation cycle in Indonesia. To fulfill timber industry needs, wood traits, as well as growth traits, should be improved by conducting appropriate tree breeding programs for this species. In the present study, growth and wood traits were measured for the 10-year-old third-generation A. mangium from 40 half-sib families originating from four sub-lines from two provenances. The mean values of ten families in each sub-line ranged from 17.7 to 21.8 cm for stem diameter, 14.3 to 16.2 m for tree height, 3.60 to 3.77 km/s for stress-wave velocity, and 19.9 to 20.9 mm for Pilodyn penetration, respectively. The broad-sense heritability values in each sub-line ranged from 0.014 to 0.444 for stem diameter, 0.000 to 0.208 for tree height, 0.261 to 0.715 for stress-wave velocity, and 0.171 to 0.484 for Pilodyn penetration, respectively. These results suggested that families with higher density and Young’s modulus of wood, suitable for solid wood production, can be selected from the third-generation A. mangium. Stem diameter significantly correlated with the other three measured traits, while phenotypic correlation coefficients between stem diameter and stress-wave velocity or Pilodyn penetration were very low. In addition, no significant phenotypic correlations were found between other measured traits. Furthermore, positive- or non-significant genetic correlations were found between growth and wood traits in all sub-lines. Thus, it is concluded that the selection of families with good growth characteristics will not always reduce the wood properties of this species.
The Comparison of Gold Price Prediction Techniques Using Long Short Term Memory (LSTM) And Fuzzy Time Series (FTS) Method
Authors: Surya Pangestu Putry Shan Alodia , Rochman Abdul , Zuhdi Ahmad 
Published: October 2023

Gold is a precious metal that has economic value and is often used as an investment tool. The demand for gold from day to day is increasing, because many know and think that gold can be used as ownership in the form of investment assets that have low risk. Therefore, it is necessary to predict the gold price to avoid losses. This study aims to predict the gold price using a machine learning architecture including deep learning, namely Long Short Term Memory (LSTM) and Fuzzy Time Series (FTS). Several trial processes were carried out in the training process and predict the LSTM and FTS models to get the best results. The data used in this experiment is real data from the period 15 September 2016 – 15 September 2021. The final results obtained from the LSTM method have an RMSE value of training data of 391.95 RMSE, and a value of test data 412.36 RMSE, and the FTS method has an RMSE value of 10449.115791541652