bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cardiometabolic Markers and Serum Amh Levels in Pcos: Can Amh Serve as a Surrogate Cardiometabolic Marker?
Authors: Ganie Mohammad Ashraf , Malhotra Neena , Jabbar Puthiyaveetil Khadar , Aggarwal Sarita , Rozati Roya , Sahay Rakesh , Chowdhary Subhankar , Kamboj Saloni , Wani Imtiyaz Ahmad , Arora Taruna , Bhattacharya Prasanta Kumar , Islam Khalid ul 
Published: December 2024

Abstract

Objective: To study the cardiometabolic markers in women in with polycystic ovary syndrome (PCOS) across all phenotypes and its correlation with serum AMH levels.
Methodology: In cross-sectional community-based study aimed to determine the prevalence of PCOS among women aged 19-39 years over 5 years (2018-2022), 10,109 women were found to be eligible from 14,061 approached through a pre validated questionnaire. Out of this cohort, 201 women were diagnosed prior, and from the 2314 probable cases on detailed clinical, ultrasound and hormonal evaluation as per Rotterdam criteria, 860 were true cases. Healthy women from the same community matched for age and BMI, were taken as controls (1174). Both PCOS and healthy controls were assessed for cardio-metabolic indices, including anthropometry (BMI, WC, WHR), biochemistry (OGTT with 75 grams glucose, lipid profile, HOMA-IR, visceral adiposity index [VAI], lipid accumulation product [LAP]) and fasting and post prandial insulin. Other hormone assays (FSH, LH, PRL, TSH, DHEAS, SHBG, testosterone,) and AMH levels were also assessed in PCOS and controls. Correlation between serum AMH and cardiometabolic indices was calculated for cases using Pearson’s method. Data was analysed using STATA version 24.
Main outcome measure(s): Cardio-metabolic profile including obesity/overweight, hypertension, insulin resistance, dyslipidemia among PCOS women and their different phenotypes, comparison with controls and correlation with serum AMH levels in cases.
Result(s): In the baseline characteristics, PCOS group had higher systolic and diastolic blood pressure, fasting blood sugar, 2 hours OGTT, fasting, 30 minutes and two hours post OGTT insulin levels than control group. In lipid profile, PCOS group had lower HDL and higher LDL levels. HOMA-IR, VAI, LAP were significantly higher in PCOS group. When AMH was correlated with various cardio-metabolic indices in women with PCOS, significant positive correlation was found with BMI, waist circumference, triglycerides and VLDL levels. While correlating AMH with cardio-metabolic indices in different phenotypes, PCOS phenotype A, C, and D suggested a significant positive correlation with BMI, waist circumference, post -prandial blood sugar at 30 minutes and VLDL, while phenotype B correlated only with BMI and VLDL levels.
Conclusion(s): A positive correlation could be seen between serum AMH and anthropometric and lipid profile parameters in Indian PCOS women. No such correlation can be established between other insulin resistance markers.
Enhancing Tree Species Mapping in Arkansas' Forests through Machine Learning and Satellite Data Fusion: A Google Earth Engine-Based Approach
Authors: Saim Abdullah Al , Aly Mohamed 
Published: December 2024

Abstract

Arkansas' subtropical climate nurtures extensive forested regions, particularly within the Ozark- St. Francis and Ouachita National Forests. Despite this, the state lacks an up-to-date, high-resolution map detailing the distribution of tree species within its forests. This study harnesses the power of machine learning, specifically the Random Forest (RF), Gradient Tree Boosting (GTB), Support Vector Machine (SVM), and K-Nearest Neighbors (K-NN) classifiers, within the Google Earth Engine (GEE) framework. These classifiers are applied to classify the distribution of tree species in Arkansas' forests by integrating data from various sources, including Sentinel-1/-2, Landsat-8, and the National Agriculture Imagery Program (NAIP). The study evaluates the classification accuracy of single-sensor images against fused composites, revealing that the fused Landsat-8 and Sentinel-1 data achieve the highest validation accuracy at 0.8875. This is closely followed by single-sensor Sentinel-1 and Landsat-8, which yield validation accuracies of 0.8863 and 0.8859, respectively. Among the classifiers, RF demonstrates the highest accuracy, followed by GTB, K-NN, and SVM when applied to fused Landsat-8 and Sentinel-1 images. This study incorporates the Shapley Additive Explanations (SHAP) to elucidate feature importance and introduces a weighted ensemble method, resulting in a remarkably accurate tree species distribution map with an accuracy score of 0.9772. This research highlights the efficacy of combining machine learning algorithms and fusing satellite images to significantly enhance tree species classification accuracy. Moreover, the study capitalizes on explainable AI (XAI) principles and leverages the cloud computing capabilities of GEE to create a more precise, high-resolution tree cover map on a regional scale.
Cost-Effectiveness Analysis of First-Line Gifitinib Plus Pemetrexed-Platinum-Based Chemotherapy Versus Gifitinib Monotherapy in EGFR-Mutated NSCLC Patients with Brain Metastases
Authors: Zhao Ziying , Chen Maolin , Du Jiuzhou , Zhao Yanan , Zhao Liling , Fang Li , Liu Qiao 
Published: December 2024

Abstract

Purpose
Brain metastases (BrMs) frequently manifest in patients with EGFR-mutant non-small cell lung cancer (NSCLC), and the optimal treatment approach for these individuals remains controversial. This study aimed to evaluate the cost-effectiveness of adding pemetrexed-platinum chemotherapy to first-line gefitinib in EGFR-mutant NSCLC patients with BrMs, considering the perspective of the Chinese healthcare system.
Patients and methods:
Constructing a Markov model, we simulated disease progression over a 10-year horizon in 4-week intervals. The model included three main health states: progression-free survival (PFS), progressive disease (PD), and death, along with a temporary PFS health state. Transition probabilities were estimated based on the data from the GAP BRAIN trial. Costs and utilities were collected from local public database and literature. One-way and probabilistic sensitivity analyses were employed to assess the robustness of the model.
Results
In the base case analysis, adding pemetrexed-platinum chemotherapy to first-line gefitinib resulted in an incremental effectiveness of 0.59 quality-adjusted life years (QALYs) and an icrease in healthcare costs by $12,298.51. Consequently, the incremental cost-effectiveness ratio (ICER) amounted to $24,887.67/QALY, which fell below the prespecified willingness-to-pay (WTP) threshold of $37,654.50 per QALY. Deterministic sensitivity analysis indicated that, apart from the utility value of the PFS health state of the gefitinib plus chemotherapy (GPP) group, other parameters exerted minimal influence on the results. The probabilistic sensitivity analysis demonstrated that, at the predefined WTP threshold, the combination of gefitinib and chemotherapy was a cost-effective treatment strategy.
Conclusion
Adding pemetrexed-platinum chemotherapy to first-line gefitinib for EGFR-mutant NSCLC patients with BrMs in China represented a cost-effective treatment strategy from the perspective of the Chinese healthcare system.
Hindcast (back to 1955) and forecast (up to 2100) of sea-surface pH at BATS and Hydrostation S (Bermuda area)
Authors: Hadid Nadia Ben , Guglielmi Véronique , Touratier Franck , Goyet Catherine 
Published: December 2024

Abstract

Time-series measurements in the North Atlantic Ocean at the Hydrostation S site (32°10′N, 64°30′W), started in 1954. At that time, it was not yet possible to measure all the properties of the oceanic carbon cycle. However temperature and salinity were measured. We use these important hydrographic data with the knowledge acquired from more recent measurements (since 1989) of the CO2/carbonate properties at the near-by Bermuda Atlantic Time Series Study (BATS; 31°40′N, 64°10′W), to reconstruct, using two different approaches based upon multi-linear-regressions, the pH at this hydrostation S since its beginning. The results provide good estimates of the ocean acidification in the ocean surface of the area of stations S and BATS since the mid 1950’s, an unprecedented near 70-year trend of ocean acidification, as well as a simple way to forecast to 2100 its variations according to the various scenarios of atmospheric CO2 fugacity increase. The simplest approach shown here, further provides an easy way to estimate surface ocean acidification from satellite sea surface temperature measurements.
Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs
Authors: Alsubhi Abdulmajeed , Renaut Rosemary 
Published: December 2024

Abstract

We consider the solution of the ℓ1 regularized image deblurring problem using isotropic and anisotropic regularization implemented with the split Bregman algorithm. We replace the system matrix A using a Kronecker product approximation obtained via an approximate truncated singular value decomposition for a reordering of the matrix A. To obtain the approximate decomposition for the reordered matrix, we propose the enlarged Golub Kahan Bidiagonalization algorithm that proceeds by enlarging the Krylov subspace beyond either a given rank for the desired approximation, or uses an automatic stopping test that provides a suitable rank for the approximation. The resultant expansion is contrasted with the use of the truncated and the randomized singular value decompositions with the same number of terms. To further extend the scale of problem that can be considered we implement the determination of the approximation using single precision, while performing all steps for the regularization in double precision. The reported numerical tests demonstrate the effectiveness of applying the approximate single precision Kronecker product expansion for A, combined with either isotropic or anisotropic regularization implemented using the split Bregman algorithm, for the solution of image deblurring problems. As the size of the problem increases, our results demonstrate that the major costs are associated with determining the Kronecker product approximation, rather than with the cost of the regularization algorithm. Moreover, the enlarged Golub Kahan Bidiagonalization algorithm competes favorably with the randomized singular value decomposition for estimating the approximate singular value decomposition.
MSC Classification: 65F22 , 65F10 , 68W40
Body Composition Changes and Predictor of Weight Loss in Short Term after Sleeve Gastrectomy
Authors: Ji Guangnian , Zhu Chuanrong , Wang Shaochuang , Wu Jinsheng 
Published: December 2024

Abstract

Background
Bariatric surgery is the most effective treatment for patients with severe obesity to achieve sustainable weight loss. However, body composition changes, especially limb composition, after sleeve gastrectomy (SG) in Asian population have not been widely reported, and there are few studies on the prediction of short-term weight loss.
Methods
We evaluated 159 patients with obesity who underwent SG between May 2020 and June 2023 in our hospital. Each patient’s demographic, anthropometric, laboratory workup and body composition data were collected at baseline and 1,3,6,12 months after surgery. Independent predictor of weight loss was obtained by Logistic regression analysis.
Results
The mean age of the 159 patients was 30.4 ± 7.7 years, and 78.0% were female. Compared to the baseline values, anthropometric parameters and metabolic profiles were improved after surgery. All of body composition indexes decreased, while fat mass (FM, kg and percentage), visceral fat mass (VFA) and obesity degree remained decreasing until 1 year postoperatively. Percentage of excess weight loss (EWL%) was 55.7 ± 17.6% at 3 months, reaching the standard of effective weight loss. There were 11 factors that correlated negatively with EWL%, and obesity degree was identified as independent predictor of weight loss (OR: 0.951, P = 0.001). The AUC of obesity degree was 0.781 (95% CI: 0.668–0.894, P < 0.001), values of sensitivity and specificity were 0.643 and 0.857, with the cutoff value 193.5%.
Conclusions
SG significantly improved variables of anthropometry, lipid metabolism and achieved effective weight loss in the short term. From the whole body to limbs and trunk, the body composition was changed. Obesity degree was closely related to effective weight loss after surgery, and might be an independent predictor in the short term.
Design and Development of a Pilot Knife Coating Machine: An Economic Approach
Authors: Bambhaniya Sanjay , Mandot Aadhar 
Published: December 2024

Abstract

Knife coating is an essential technique widely used in the textile industry to enhance the functional properties of textile substrates through precise coating applications. The high cost and substantial material requirements of existing large-scale knife coating machines pose significant challenges for industries and research institutions in conducting trials for various coating development, process optimisation, quality control, and innovation. A cost-effective pilot table-top knife coating machine has been designed and developed to address these limitations. This machine operates on the principle of knife-over-air, enabling precise control over coating parameters with minimal material usage. The design includes a robust structure, a feed roller assembly, a coating head assembly, a take-up assembly, and a control unit, ensuring operational efficiency and safety. The machine offers flexibility in the adjustment of different parameters which significantly enhances coating performance, making it a valuable tool for both industrial and research applications. This study reveals the fabrication process, operational procedure, and safety features of the developed knife coating machine, highlighting its potential to transform the coating industry by offering an economically viable solution for precise and efficient coating applications.
Relationship between hypothalamic pituitary thyroid function and bone mineral density NHANES 2007-2012
Authors: Cao Lizhen , Shu Jing , Yao Yuanyuan , Yang Lin , Li Jiaqi 
Published: December 2024

Abstract

Introduction:Prior research has indicated a correlation between hypothalamic-pituitary endocrine secretion and bone health. However, the relationship between thyroid hormone levels and lumbar spine bone density in adults remains incompletely understood. The objective of the present study was to examine this relationship and to assess the moderating effects of factors such as gender, age, and depressive symptoms on it.
Methods:Cross-sectional analyses were conducted using data from the National Health and Nutrition Examination Survey (NHANES), conducted between 2007 and 2012. Weighted linear regression models and multiple logistic regression models were employed to evaluate the correlation between lumbar spine bone density and indicators of thyroid function in 4996 adults aged 20-80 years. Additionally, the study investigated the effect of thyroid hormones on lumbar spine bone density in depressed adults.
Results and conclusions:In adults, a significant negative correlation was observed between lumbar spine bone density and FT3 levels, but not with any of the other thyroid hormones. The correlation between lumbar bone density and TT3, TT4, and Tg was found to be interactive with regard to gender. No significant interaction was observed between age and depressive symptoms with regard to lumbar bone density and thyroid hormones. Subgroup analyses revealed that the inverse relationship between bone mineral density (BMD) and free triiodothyronine (FT3) was exclusive to younger adults and was not statistically significant in older adults. In the fully adjusted model, a significant negative correlation was observed between BMD and TT4 in adult males (p=0.027), whereas no significant correlation was identified in adult females. In the fully adjusted model, BMD was significantly negatively correlated with FT4 and FT3 in non-depressed patients (p=0.040, p=0.027). Additionally, it was found that although thyroid hormones correlate with both depression and BMD, thyroid hormones do not cause changes in BMD solely because of depressive states. Therefore, further comprehensive research is required to elucidate the specific mechanism of hypothalamic-pituitary-thyroid on bone health.
Integrated Furnace Modeling and Circulation Analysis of Natural Circulation Hybrid Boiler
Authors: Elgandelwar Atul M. 
Published: December 2024

Abstract

An integrated furnace model and circulation study of a hybrid boiler with natural circulation is the main objectives of the current work, which is being conducted under various operating conditions. To comprehend the safe operation of a hybrid boiler, heat flux, boiling heat transfer, nucleate boiling, and tube overheating are examined. Analyze the circulation ratio, dryness fraction, void fraction, heat flow, pressure, and liquid velocity. In a natural circulation boiler, the circulation ratio controls critical heat flow and skin temperature. Circulation ratio is influenced by boiler pressure, liquid velocity and maximum heat flow. This study supports the design of hybrid boilers with natural circulation. A flow distribution analysis tool for natural circulation boilers based on Excel will be made available by the study. The model's nonlinear equations for nodes and loops are solved via Newton Raphson. Pressure loss and driving force are included in the loop calculations for every evaporator tube. Typical downcomers and risers make use of node equations. Loop and node equations for every branch flow are connected by a distinct connection matrix. A new indirect method is used to validate the model. The experimental data is within 3.57% absolute error of the model. Natural circulation networks are constructed, analyzed and optimized.
KDM5A-driven H3K4me3 promotes aberrant neural development by Wnt/β-catenin pathway activation
Authors: Li Jianting , cao zhihua , xie qi , gu xiaolong , ma peng , li lu , ren wenbin , fu yuan , liu zhi zhen , wang yonghong , Zhang Ting , yang hailan , Yang Shu-Yan , Xie Jun 
Published: December 2024

Abstract

Neural tube defects (NTDs) are common and severe birth defects. Folate supplementation can prevent NTDs, but the underlying molecular mechanisms are unclear. Aberrant Wnt/β-catenin pathway activation leads to defective anteroposterior patterning, resulting in NTDs, but little is known about whether epigenetic factors contribute to this process. Here, we performed ChIP and CUT&Tag to explore H3K4me3 in folate-deficient cells and NTDs mouse models. Our findings show folate deficiency increased H3K4me3 levels at Wnt target genes promoters, enhancing their transcription. This effect was mediated by reduced expression of histone demethylase KDM5A，leading to the maintenance of H3K4me3 marks and activation of Wnt/β-catenin signalling. Similarly, Wnt/β-catenin pathway was activated in KDM5A-KO cells and folate-deficient NTD mice. Intriguingly, KDM5A depletion in zebrafish embryos resulted in defective neurodevelopment and increased Wnt signalling. Furthermore, the transcription factor Pax2 downregulated KDM5A under folate-deficient conditions. Clinically, increased H3K4me3 levels and Wnt target genes expression were observed in low-folate NTDs brain samples. All these findings suggest KDM5A-dependent epigenetic regulation of Wnt signaling is crucial in low folate NTDs, implicating a potential therapeutic target.
Study on the Blood glucose Regulation function of Lactobacillus plantarum NXU0011 Powder
Authors: Ji Quan , Zhai Ru , Zhang Haiyan , Huo Longxuan , Qiao Chen , Pan Lin 
Published: December 2024

Abstract

C57BL/6J mice were studied to evaluate the hypoglycemic function of bacterial powder. The results showed that the bacterial powder had good inhibition ability to α-amylase and α-glucosidase. After the intervention of bacterial powder in diabetic mice, the indexes of fasting blood glucose and insulin level were reduced, and glucose tolerance was improved; the histological results showed that: the alpha diversity of the bacterial powder group (HLP) was improved, and the Shannon index was higher than that of the blank group (CN), Bifidobacterium animaliss, Lactobacillus acidophilus and Akkermansia muciniphila were enriched and had significant differences. Compared with CN group, the expression levels of Hydroxyphenyllactic acid, L-2-Hydroxy-glutaric acid and Glutamic acid in HLP group were significantly increased. Meanwhile, Carbohydrate metabolism, Amino acid metabolism, Nucleotide metabolism and other related pathways were improved. In summary, the Lactobacillus plantarum NXU0011 powder alleviates diabetes by regulating the intestinal flora and metabolites of mice.
Maximizing Spectrum Utilization and Energy Efficiency in OFDMA Networks through Subcarrier Allocation and Power Control Optimization
Authors: M Raghavendra Y , M Asha , G Manjula , M Latha , Sindgi Anupama , N Prasad S 
Published: December 2024

Abstract

As the demand for efficient spectrum utilization and energy efficiency in wireless communication systems grows, Orthogonal Frequency Division Multiple Access (OFDMA) has emerged as a promising technique. Current optimization methods, including Genetic Algorithms, Machine Learning, and the Waterfilling Algorithm, show potential for enhancing performance but face significant challenges. This study investigates optimizing Orthogonal Frequency Division Multiple Access (OFDMA) systems with enhanced complexity, including 10 users, 256 subcarriers, and a system bandwidth of 100 MHz. The system operates at a higher Signal-to-Noise Ratio (SNR) of 20 dB, using 16-QAM modulation and a power constraint of 2 per user. The proposed framework combines adaptive subcarrier allocation and power control to optimize spectrum utilization and energy efficiency under these conditions. Simulation results demonstrate the efficacy of the approach, achieving an average spectrum utilization of 0.69141 and an average energy efficiency of 1.4447. Compared to traditional methods, this framework significantly enhances both metrics, providing a more robust and efficient solution for OFDMA systems. These findings underline the potential of the proposed framework in improving scalability and adaptability, addressing the challenges of dynamic channel conditions, user mobility, and concurrent optimization of spectrum and energy efficiency. By bridging simulation results with real-world applicability, this approach contributes to the development of advanced cognitive radio networks, ensuring better spectrum access and reduced interference in large-scale environments.
Multi-objective optimization of cutting parameters for dry and wet drilling of AISI 340 25-20 steel:Towards Eco-Friendly Machining
Authors: othmani Romdhane , Essid Mohamed , Younsi Bilel , Bouzid Wassila 
Published: December 2024

Abstract

The machining of stainless steels and pollution reduction generated by coolants and emulsions are of great importance in industry. Several investigations have been conducted to master their machinability due to difficulties encountered in tool wear, chip morphology, and cutting resistance. Additionally, compliance with environmental regulations has become very strict, presenting an extra cost for machining. This study aims to investigate both dry and wet drilling of AISI 304 25-20 steel using a carbide insert drill, with the primary goal of optimizing cutting conditions such as cutting speed (Vc) and feed rate per revolution (f) to achieve low cutting power and minimal burr height. Secondly, a multi-objective optimization is pursued to minimize both cutting power and burr height; finally, a comparison of the two processes is made. Experiments were conducted based on the design of the experiment methodology and analysed statistically using the ANOVA method. The models provide practical recommendations for reducing production costs and improving the quality of finished products.