bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analytical method validation and quantitation of 3-fucosyllactose in Korean maternal milk by mass spectrometry
Authors: Nguyen My Tuyen T. , Seo Nari , Hoang Khanh Hong Thi , Dinh Toan Nguyen Song , Nguyen Phu Cuong , Kim Yong-Ki , Jung Ji A , Kim Jung-Min , Song Young-Ha , An Hyun Joo , Kim Jaehan , Yoon Jong-Won 
Published: November 2023

Abstract
The concentration of human milk oligosaccharides has gained significant attention recently due to their positive effects on infant health. However, the concentration of 3-fucosyllactose(3-FL) in Korean mother milk has not been studied. Therefore, this study aimed to analyze the concentration of 3-FL in Korean human milk using mass spectrometry. The analytical method for quantitating 3-FL was validated to have high precision, accuracy, linearity, specificity, stability, recovery, and reproducibility. The concentration of 3-FL was then determined in 102 Korean human milk samples. The results showed that the 3-FL concentration increased during lactation, with values of 1.0, 1.1, and 1.8 g/L in 0–30, 30–60, and > 60 postpartum days, respectively. Notably, the 3-FL level in secretors (1.3 g/L, n = 80) was significantly lower than in non-secretors (2.8 g/L, n = 24). These findings provide useful information for future research, as well as for setting the recommended nutrient intake (RNI) value and formulating baby food composition.
How Do Obesity and Infertility Affect Stigma and Depression? A Cross-Sectional Study
Authors: koc ozlem , Karakoç Hediye , Ersöğütçü Filiz 
Published: November 2023

Abstract

Background: In traditional societies like Turkey, having children is a determinant of social status in society and family. A stigma is defined as a negative sense of social difference from others, that is, so outside the socially defined norm, it is both deeply discrediting and devalues the individual. Depression is a common health problem in infertile women because of the stressful nature of the treatment procedures, fear that treat-ments will fail, and the patient's inability to conceive. This study was conducted to examine the stigma and depression status of obese infertile women in Turkey. A cross-sectional descriptive survey was conducted in accordance with the STROBE guidelines. A fixed model in the G*Power software 3.1 was used to calculate the sample size for multiple linear regression analysis. In this cross-sectional study, the sample consisted of 161 infertile women from an infertility outpatient clinic of a university hospital in Eastern Turkey. In the analyses of the data, descriptive statistics, independent-samples t-test, one-way ANOVA, Pearson's correlation analysis, and multiple linear regression analysis were used for the normally distributed data.
Results: It was determined that depression scores had a strong positive correlation with stigma scores. A multiple regression analysis was performed to explain the relationship between depression and demographic variables. In the multiple regression analysis performed to evaluate the effects of five independent variables determined to have an effect on depression scores, it was seen that the independent variables explained depression levels by 80%.
Conclusion: The findings emphasized that depression and stigma are related to each other. It was determined that the depression scores of the participants increased in relation to increased self-devaluation, social stigma, age, and duration of diagnosis.
Myeloid sarcoma presenting as lymphadenopathy with myelofibrosis
Authors: Hamdan Rolaz , Shammaa Abdullah Al , Kaddar Abir , Atia Joanna 
Published: November 2023

Abstract
We present a case of lymphadenopathy as the first manifestation of myeloid sarcoma (MS), a rare hematological malignancy. Immunophenotyping was essential for diagnosing MS, as it could distinguish it from other diagnoses, such as lymphoma, that were not discernible by using imaging and conventional light microscopy.
Comparison of Prediction Performance of Lithium Titanate Oxide Battery Discharge Capacity with Machine Learning Methods
Authors: ANDIK Ilyas , ARSLAN Fatma Yasemin , UYSAL Ali 
Published: November 2023

Abstract
Due to the non-linear characteristics of rechargeable batteries, many studies are carried out on battery life, state of charge and health status monitoring systems, and many models are developed using different methods. Within the scope of this study Lithium Titanate Oxide (LTO) battery was discharged at room temperature with different discharge currents. Through the experiments, the discharge capacity, current, voltage and temperature values of the LTO battery were recorded and the min-max scaling method was applied to the obtained discharge experiment data. 70% of the experimental data is reserved as training data and 30% as test data. Models have been developed to estimate the discharge capacity of LTO batteries using machine learning algorithms. Random Forest, K-Nearest Neighbor, Decision Tree and Linear Regression methods were used in the prediction models. By comparing the performance values obtained from the models used, the model that makes the best estimation of the solution of the problem has been determined. In the performance evaluations of machine learning methods Explanatory Coefficient (R2), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) values were used. As a result of the study, it was seen that the Random Forest model gave the most successful result in terms of success rates with a predictive value of % 99,8836.
Navigating Drug Use, Cessation, and Recovery: A Retrospective Case Notes Review Among Sexual Minority Beneficiaries of a Community-based Service in Singapore
Authors: Wah Tzy Hyi , Ong Adeline Jia Xin , Naidu Kuhanesan N. C. , Hanafi Syaza , Tan Kelvin , Tan Alaric , Ong Tricia Jia Jing , Ong Eleanor , Ho Daniel Weng Siong , Subramaniam Mythily , See Maha Yewtuck , Tan Rayner Kay Jin 
Published: November 2023

Abstract
Background
In Singapore, where drug use is a highly stigmatized and criminalized issue, there is limited understanding of the challenges faced by individuals, particularly sexual minorities, in their journey towards recovery from substance dependence or addiction. This qualitative study aimed to investigate the driving forces behind drug use, the factors contributing to drug cessation, and the elements influencing the recovery process.
Methods
Data were extracted from clinical records provided by < blinded for review > between January 2020 to May 2022. These records encompassed information from four distinct forms: the intake assessment, progress notes, case closing summary, and the care plan review. Thematic analysis was employed to identify and categorize recurring themes within the data.
Results
Data from beneficiaries (N = 125) were analyzed and yielded a series of themes related to facilitators of drug use, motivations to cease drug use, and managing one’s ongoing recovery. Within the facilitators of drug use, 2 sub-themes were identified: (a) addressing trauma and triggers and (b) managing emotions. Additionally, managing one’s recovery was marked by four significant sub-themes: (a) uncovering personal identities, (b) losing motivation and drive, (c) overcoming obstacles, and (d) preparing for aftercare.
Conclusions
The study contributes valuable insights into the dynamics of ongoing recovery management, offering potential avenues for interventions that could enhance support for individuals in their journey to overcome substance dependence. Enhancing psychoeducation and fostering peer support have the potential to facilitate the recovery process. Clearly, a holistic approach is needed to address these complex issues that cuts across our societies.
Effectiveness of mobile phone text messages sent as reminders for self-monitoring of blood pressures and blood glucose at home among low income patients in Kenya: an open label randomized controlled trial
Authors: Asiki Gershim , Otieno Peter , Wilunda Calistus , Karugu Caroline , Kloet Babette , Teerling Julia , Siteyi Angela , Hendriks Marleen , Kyobutungi Catherine , Andel Judith 
Published: November 2023

Abstract
Background
Self-measurements of blood pressure or blood glucose at home are effective in reducing blood pressure or blood glucose among patients with hypertension or diabetes. However adherence to these measurements is poor in low income settings including Kenya. We assessed the effectiveness of mobile phone text message (SMS) reminders for self-measurements on blood pressure, and blood glucose control.
Methods
This was an open-label randomized controlled trial among low income patients from healthcare facilities in three Kenyan counties (Nairobi, Kiambu, and Vihiga). To be eligible, patients had to be an adult (18 years and above) with a diagnosis of hypertension or type 2 diabetes, own a mobile phone, and accept self-measurements at home. Patients with hypertension were randomized into three arms each with 94 patients receiving daily, weekly, and no SMS respectively. Patients with diabetes were randomized into two arms (weekly versus no SMS) each with 64 patients. The proportion of patients with controlled blood pressure (< 140/90 mmHg), and controlled random blood glucose (< 11∙00 mmol/L) estimated through a survey conducted after 12 months of follow-up were our primary outcomes. Our secondary outcome was the effect of SMS reminders on self-measurements. We used intention to treat analysis.
Results
Between January and December 2020, 252/282 (86∙2%) patients with hypertension completed the study. The frequency of self-measurements increased among patients with hypertension who received weekly SMS. Using a multivariate Poisson regression, weekly SMS was associated with blood pressure control; [RR = 1∙34, 95%CI (1∙01–1∙78)] but daily SMS was not associated (RR = 0∙89; 95%CI (0∙63 − 1∙27)]. For diabetes, 104/128 (78∙9%) completed the study and there was no significant effect of weekly SMS on blood glucose control.
Conclusions
Weekly SMS reminders among patients on blood pressure self-monitoring substantially improved blood pressure control. SMS reminders are recommended as an adjunct intervention to improve adherence to self-measurements of blood pressure at home.
Trial registration:
This study was registered in the Pan African Clinical Registry (PACTR202003783697033) on 30 Mar 2020.
Visualization in the domain of endometrial fluid (2000-2023): a bibliometric analysis
Authors: Guo Hongxin , Lu Guangxiu , Lin Ge , Gong Fei 
Published: November 2023

Abstract
Background: Endometrial fluid represents the condition of the endometrium and testing it brings less harm to patients. Thus, we overviewed the domain of endometrium fluid by bibliometric analysis, the results of which are comprehended by researchers more easily and rapidly.
Method: The publications were retrieved with the terms on endometrial fluid from the Web of Science Core Collection on October 30, 2023. Data were analyzed by VOSviwer, CiteSpace, and Excel.
Results: The analyzed data include 5024 articles and 769 reviews. Both the USA and Texas A&M Universityown the most publications, the quantity of which are 1508 and 68 respectively. Researchers published most often in Human Reproduction. The most productive author is Roberto Romero, who publishes 37 articles and owns a higher value of citations per document with 171. Besides, this article clustered keywords, analyzed them at the timeline level, and discovered the hotspot that will become the future development trend.
Conclusions: This research gives a new perspective to people who just stepped into the field and more intuitive and comprehensive choices for them and sophisticated persons to study in suitable institutions and to collaborate with appropriate authors, which will accelerate the advancement of the domain.
Changes of herbaceous diversity along altitude gradients and community stability in the middle reaches of the Yarlung Zangbo River in China
Authors: Wang Jingjie 
Published: November 2023

Abstract
Located in western and southwestern China, the Qinghai-Tibet Plateau is an important ecological security barrier area in China with a variety of vegetation types, and measuring plant population diversity is challenging due to its high altitude.In this paper, the herb communities in the middle reaches of the Yarlung Zangbo River on the Tibetan Plateau were investigated, and the variation of their diversity with altitude gradient, the similarity and stability of community structure were analyzed,The Alpha diversity index and Beta diversity index of species and the similarity and stability index of community were measured.The results show that:(1)In 7 elevations 7 sampling sites 70 quadrates with a total area of 700m2, 39 species of herbs were recorded, belonging to 20 families and 33 genera. Poaceae plants occupy a large proportion in all elevations, and are the first dominant species of herbs, followed by Asteraceae.(2)The highest species abundance and number of herbaceous species were reached in the altitude range of 3,600-3,800m, and the most suitable climate and geographical conditions for the survival of herbaceous communities were reached in the altitude range.(3)According to the Jaccard similarity index among the 7 altitude gradients, the community similarity was high when the altitude was below 3600m, while the community similarity was dissimilar when the altitude was above 3600m.(4)From the perspective of community stability index and diversity index, there was no direct correlation between plant community diversity and community stability.
Analysis of decadal climatic variability in Bangladesh
Authors: Khan Towfiqul Islam , Alam Jubied , Islam Md. Nurul 
Published: November 2023

Abstract
The climate is changing because of global warming. It is crucial to assess how much change has occurred during a certain period. This study shows the decadal change in temperature of Bangladesh. In almost all the stations the mean maximum and minimum temperature have increased 0.5°C and 0.39°C respectively within four decades. The maximum mean temperature increased by 4.62% which is the highest changes around Kutubdia and Sandwip. Apart from Chuadanga, Satkhira, and Madaripur, practically every region's maximum temperature is rising at a different rate. In comparison to nearby areas, the maximum temperature is significantly higher in hilly (Chittagong, Sitakundo), coastal (Cox's Bazar, Patuakhali), and northern (Rangpur, Saidpur) areas, ranging from almost 2.75–3.75%. Dhaka is also facing an increase of about 2.5%. Dhaka, Dinajpur, and Chittagong's mean minimum temperature is rising and ranges from 3.46–5.28%. Dhaka has the greatest minimum temperature increase. Areas near the coast have a downward trend in maximum temperature change (Patuakhali, Mongla, Hatiya, Bhola, Kutubdiya) but an increasing trend in minimum mean temperature. Although humans may not notice decadal temperature changes, the percentage of change between 42 years of data and last year's data deserves our attention.
Unraveling Tortured Phrases in the Scientific Literature through the Lens of Talbots
Authors: Nguyen Tan H. , Tran Thien Q. , Hai Pham H. , Tan Nguyen Huy 
Published: November 2023

Abstract
Scientific literature has witnessed an alarming upsurge in the utilization of tortured phrases within scholarly articles. These special phrases cast doubt on the credibility of research, irrespective of the underlying rationale. Therefore, we introduced Tal- bots, which facilitates the identification and categorization of tortured sentence clusters. Our investigation thoroughly assessed 8,792 academic publications, including books and articles, characterized by their deployment of odd and incomprehension language, such as information mining instead of data mining. We carefully analyzed a comprehensive dataset of 5,582 tortured phrases and identified 2,235 scientific literature containing them. Subsequently, we proceeded to systematically categorize these sentences of tortured phrases into six distinct groups, including grammatically incorrect structures (GIS), inappropriate word usage (IWU), semantic inconsistencies (SI), complex language constructs (CLC), unnecessary coined terms (UCT), and non-tortured phrases (NTP). This categorization significantly helps to enhance the understanding of the science community on this issue. By shedding light on the prevalence of tortured phrases, our study contributes to enhancing the quality and integrity of content in future scientific publishing.
Optimal Taxation on an Alternative Domain
Authors: Dudek Maciej , Walczyk Konrad , Dudek Pawel 
Published: November 2023

Abstract
We attack the standard problem of optimal taxation by departing from the premise, universally adopted in the literature, that the optimal tax function does not induce bunching or gaps in the distribution of income. Formally, we do extend the set of admissible functions and allow for functional forms and resulting behavioral responses that are normally discarded at the outset in the literature. In other words, we do recast the optimal taxation problem on a richer domain and we explicitly consider tax functions that are routinely ignored in the literature. The tax functions that we consider do induce bunching and gaps. In fact, the tax functions that we focus on while being fully admissible make the standard methodology - based on the first order approach - inapplicable. Therefore, in the paper we develop a procedure - based on elementary variations - that allows us to derive conditions that identify the optimal tax function on the domain of functions that includes tax functions that allow for the possibility of bunching or gaps.
JEL Codes: H21
A novel method of greyscale image fusion based on discrete fractional wavelet transform combined with improved chaotic genetic algorithm
Authors: Wang Yihang , Xie Minghang , Yang Xiaozhong 
Published: November 2023

Abstract
Greyscale image fusion plays a crucial role in computer vision and image processing. This paper proposes a novel algorithm for greyscale image fusion that enhances clarity and information retention of the resulting image. Firstly, the source image is decomposed using discrete fractional wavelet transform (DFRWT) to acquire the low and high frequency components. Secondly, considering the different characteristics of low and high frequencies, the spatial frequency technique is chosen to address the coefficients in the low frequency domain. In the high-frequency part, an improved chaotic genetic algorithm (ICGA) is used to optimize the high-frequency fusion coefficients, which can adaptively adjust the weighting to avoid the blurring and distortion problems that are likely to occur when the DFRWT processes the details, as a consequence, the features of the original image are better retained, making the fused image more natural and the details clearer. Finally, the inverse DFRWT is performed to get the fusion results. Simulation experiments prove the effectiveness of the new algorithm.
Effects of blood flow restriction training in patients with knee osteoarthritis: A meta- analysis
Authors: Li Chang-Qing , Wen He-Bao , Zhang Xue , Ma Chao , Zhao Xiao-Jiang 
Published: November 2023

Abstract
Background. Knee osteoarthritis (KOA) is a common degenerative disease.Resistance training is considered as an effective approach to reduce the risk of muscle weakness in patients with KOA. Blood flow restriction training (BFRT) with low-load resistance training has better clinical outcomes than low-load resistance training alone. However, the degree of BFRT which works more effectively withlow-load resistance training has not been determined. The purpose of this study is to provide a comprehensive overview of the existing data regarding the impact of blood flow restriction training (BFRT) on quadriceps strength, muscle size, pain, physical function, biomarkers, quality of life, and adverse events in patients with KOA.
Method. A comprehensive search was conducted in five English-language electronic databases to identify randomized controlled trials (RCTs) comparing BFRT with conventional resistance training in patients with KOA. The selection of studies was based on predetermined inclusion and exclusion criteria. The methodological quality and evidence quality of the selected studies were evaluated. The retrieval period for the literature was from the creation of the database to June 2023.
Results. A total of six RCTs were included in this meta-analysis, examining the effects of BFRT compared with those of conventional resistance training on KOA. The pooled results indicated a significant difference between the BFRT group and the control group in terms of quadriceps strength (SMD 0.39 (95% CI 0.18, 0.60), p = 0.01) and biomarkers (SMD 1.31 (95% CI 0.73, p = 0.00). However, BFRT did not show a significant difference compared to conventional resistance training in muscle size (ES = −0.47 (95% CI −1.51, 0.58), p = 0.45), pain (SMD −0.02, (95% CI −0.29, 0.25), p = 0.88), physical function (ES −0.09 (95% CI −0.37, 0.20), p = 0.14), quality of life (SMD 0.30 (95% CI −0.13, 0.73), p = 0.30) or adverse events (RR 0.45 (95% CI 0.20, 1.01), p = 0.05).
Conclusions. The evidence reviewed suggests that BFRT may be beneficial for improving muscle strength and biomarkers compared to control training, but it may not be more effective in treating other symptoms of patients with osteoarthritis of the knee, including those related to muscle size, pain, physical function, quality of life, and adverse events. More high-quality evidence is needed to further investigate its therapeutic effects.
The Impact of Land Use Types on Soil Physicochemical Properties and Agricultural Productivity: a Case of Gojera Kebele, Dinsho District, South Eastern Ethiopia
Authors: Jara Yohannes Shuka , Gari Alemu Nigussie 
Published: November 2023

Abstract
Understanding the effects of different land use types on certain soil Physiochemical properties (PCPs) is essential to the sustainable use of soil resources. Therefore, this study was conducted to evaluate the effects of land use types on selected soil PCPs and Productivity in Dinsho district, Ethiopia. A total of 64 soil samples were collected from forest, farm, grazing, and grasslands at two soil depths (0–20 cm and 20–40 cm) with three replications. The mean differences in the physical and chemical parameters of the soil were investigated using the two-way analysis of variance. The highest mean values of sand and clay were recorded in farm and grassland areas, respectively. The mean bulk density of the soils ranged between 1.14 and 1.37 g/cm-3, and the mean total porosity ranged from 42.02 to 51.5%, which indicated higher than the desirable range. The SOM ranged from 3.17% to 5.05%, while the mean values of pH ranged from 6.06 to 7.25. However, the mean values of total N ranged from 0.18 to 0.25%. The mean value of available P ranged from 2.03 to 5.2 mg kg1, which implies a high shortage of available P in the study area. The exchangeable basic cations, CEC, and PBS values were within high to very high ranges in all land use types. Particularly severe overgrazing and improperly land use, including deforestation, have detrimental effects on soil qualities. The productivity of the land and the condition of the soil must therefore be maintained by suitable land use policies and adequate land rebuilding management.