bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Use of Water Hyacinth Leaves Supplementation in Ruminant Feed on Methane, Protozoa, VFAs and Fatty Acids Ruminal Fluid in Vitro
Authors: Sondakh Erwin Hubert Barton , Kalele Jerry , Tuwaidan Nancy 
Published: August 2024

This study aims to determine the effect of water hyacinth leaves supplementation in ruminant feed parameters of fermentation, and fatty acids ruminal fluid in vitro. The experiment consists of six treatments, R0: no water hyacinth + 30% concentrate; R1: 1% water hyacinth leaves + 29% concentrate; R2: 2% water hyacinth leaves + 28%; R3: 3% water hyacinth leaves + 27% water hyacinth leaves; R4: 4% water hyacinth leaves + 26% concentrate; R5: 5% water hyacinth leaves + 25% concentrate. The fermentation was conducted at 39oC for 72 hours using gas production technique. The results indicated that giving of 4% water hyacinth leaves and 26% concentrate of MCFA could reduce the number of protozoa and methane production (P<0.05) and increase propionate acid. It can be concluded that use of 4% water hyacinth leaves and 26% concentrate could reduce methane gas production and quantity of protozoa and also could increase propionate acid in rumen fermentation in vitro.
Cefazolin versus placebo for surgical antibiotic prophylaxis in low-risk cesarean delivery: a feasibility blinded randomized controlled trial
Authors: Eley Victoria , Navarro Severine , Martin Elizabeth , Amoako Akwasi , Hartel Gunter , Woods Christine , Lu Yan , Lipman Jeffrey , Roberts Jason , Tang Mimi , Callaway Leonie 
Published: August 2024

Abstract

Background Pre-incisional antibiotics are recommended for all patients having cesarean delivery, despite emerging concerns regarding effects on the infant. In this feasibility blinded randomized controlled trial we aimed to test research processes in low-risk women receiving cefazolin or placebo prior to elective cesarean delivery.Methods The trial was prospectively registered (ACTRN12619001705178). Eligible women were aged ≥ 18 and < 40 years, ≥ 37 weeks gestation, at low risk of surgical site infection (SSI) and recruited from a single tertiary centre. We reported proportions of women eligible and consenting; adherence to perioperative infection prevention; blinding adequacy of staff using Bang’s blinding index; SSI surveillance and diagnosis according to the Centre for Disease Control definitions and patient reported outcome measures using validated questionnaires up to 90 days.Results We screened 1651 women, with 1245 (75%) ineligible based on body mass index or presence of diabetes. Of 287 eligible women, 30 were randomized (11%) with 15 in each group. Reasons for non-participation included “wanting antibiotics” (68, 27%), “no reason” (62, 25%) and lack of research staff (33, 13%). Compliance with perioperative infection prevention occurred in 5 of 7 steps. Spontaneous placental separation occurred in 25 (83%) and Comfeel dressing in 29 (97%). Blinding was adequate for all staff groups. SSI surveillance occurred in 156 of 210 (74%) timepoints. SSI occurred in two patients who received pre-incisional cefazolin and were successfully treated as outpatients. Patient reported outcome questionnaires were completed at 136 of 180 (76%) timepoints. There was no difference in maternal health-related quality of life between the groups.Conclusions Feasibility was impacted by the high-risk population and patient desire for antibiotics. Adherence to perioperative infection prevention practices were high but incomplete. These study processes could be effectively applied in a larger population, targeting low risk maternity patients.Trial Registration Prospectively registered 4/12/2019 with the Australian New Zealand Clinical Trials Registry (ACTRN12619001705178).
Television time raised the fasting plasma glucose in non-diabetes population: evidences from NHANES and Mendelian randomization study
Authors: Si Shanwen , Ma Yamei , Lu Miaomiao , Liu Ying , Xue Lei , Liu Xuekui 
Published: August 2024

Abstract

Aim: A limited number of studies have explored the association between watching TV and blood glucose in non-diabetic populations using epidemiological databases and mendelian randomization methods.
Method: We downloaded the epidemiological database from the website of the National Health and Nutrition Examination Survey, and identified two exposure GWAS datasets, "ukb-a-5" and "ukb-b-5192", along with two outcome GWAS datasets, "ieu-b-114" and "ebi-a-GCST90002232", to investigate the causal relationship between watching TV time and fasting plasma glucose (FPG).
Results: The epidemiology database revealed a positive association between watching TV time and FPG and HbA1c levels. Even after adjusting for some covariates, this positive link remained significant (P <0.001). According to the recognized inverse variance weighted (IVW) method, our study indicated the causal relationship between watching TV and FPG level.
Conclusion: The association between watching TV and FPG levels is not only evident in epidemiological data but also demonstrates a causal relationship at the GWAS level. These findings suggest the importance of monitoring physical activity levels in non-diabetic individuals to prevent the onset of diabetes.
Slot-Notch Mechanism Enabled Circularly Polarized High Gain Antenna for 5G mm-Wave RF Energy Harvesting
Authors: Saha Mamoni , Khan TAIMOOR , Surender Daasari , Talukdar Fazal Ahmed , Kishk Ahmed A. , Rengarajan sembim R. , Antar Yahia MM 
Published: August 2024

Abstract

This article describes the design of a slot-notch mechanism-enabled broadband and high-gain microstrip antenna fed by a microstrip line for fifth-generation (5G) millimeter-wave applications. The antenna is designed using Rogers 4003 substrate having a relative permittivity of 3.38, thickness of 0.8 mm, and fed by a 50 Ω microstrip line. The suggested design comprises a rectangular patch with a rectangular slot at the center. Further, two open-ended rectangular notches at the upper edges and two rectangular-shaped stubs at the lower edges are included to achieve the desired requirements. The antenna is resonant at 32.6 GHz, exhibiting |S11| around − 24.8 dB over a bandwidth of 1.5 GHz (31.7–33.2 GHz) and offering a maximum gain of 7.2 dBi. Circularly polarized radiation is achieved at 32.6 GHz with a 3-dB axial ratio bandwidth of 0.5 GHz (32.4–32.9 GHz). The antenna is fabricated and its simulated results are validated experimentally. Subsequent comparative analysis revealed that the proposed antenna is almost 60% more compact than similar designs reported in the literature.
Evaluating the clinical efficacy of five-step knee adjustment manipulation based on the ‘muscle and bone balance’ principle in treating KOA and the influence on the biomechanical characteristics of soft tissues
Authors: Da Weiwei , Liu Shuang , Zhu Baocai , Chen Lin , Xue Fan , Sun Pan , Xue Chunchun , Xue Yongpeng , Qian Qing , Yang Jiafan , Du Wenlang , Ding Chao , Qi Shi , Li Xiaofeng 
Published: August 2024

Abstract

Background
Knee osteoarthritis (KOA) is the leading cause of knee joint dysfunction. While manual treatments are effective, most traditional methods focus solely on the knee joint or its surrounding tissues, neglecting the impact of the waist, hip, ankle, and lower limb alignment on KOA. The objective is to clarify the effects of the five-step knee adjustment manipulation on KOA, evaluate its efficacy, and explore new treatment approaches for manual KOA therapy.
Methods
(1) Observe the differences in lower limb alignment, quadriceps cross-sectional area, knee joint range of motion (ROM), and gait between healthy individuals and KOA participants. (2) Conduct a multi-center, randomized, single-blind, controlled clinical trial. Eligible cases will be included, with conventional knee joint massage as the control. The five-step knee adjustment manipulation will be assessed by evaluating knee joint VAS and WOMAC scores, knee joint ROM, fastest 15-meter walking time, lower limb alignment, quadriceps cross-sectional area, and gait analysis.
Discussion
This technique emphasizes a holistic approach, addressing the lumbar spine, hip, knee, and ankle joints, as well as related muscle groups, to correct lower limb alignment and restore muscle and bone balance. We think it will contribute to providing a promising alternative intervention for middle-aged and older adults with KOA.
Trial registration:
The study was approved by the Ethics Committee of Shanghai Municipal Hospital of Traditional Chinese Medicine (Ethics No.: 2024SHL-KY-70-01.) China Registered Clinical Trial Registration Center (ChiCTR2400085536). Registered on Jun. 12. 2024.
Effect of Bifidobacterium animalis subsp. lactis BLa80 on sleep quality and gut microbiota composition in healthy adults: An 8-Week Randomized, Double-Blind, Placebo-controlled trial
Authors: liu Yinhua , Chen Yanyan , Zhang Qingya , Zhang Yanyan , Xu Fei 
Published: August 2024

Abstract

Backgrounds:
Human sleep quality is intricately linked to gut health. Emerging research indicates that Bifidobacterium animalis subsp. lactis BLa80 has the potential to ameliorate gut microbiota dysbiosis.
Methods
This randomized, placebo-controlled study evaluated the impact of BLa80 supplementation on sleep quality and gut microbiota in healthy individuals. One hundred and six participants were randomly assigned to receive either a placebo (maltodextrin) or BLa80 (maltodextrin + BLa80 at 10 billion CFU/day) for 8 weeks. Gut microbiota changes were assessed using 16S rRNA sequencing, while the in vitro gamma-aminobutyric acid (GABA) production capacity of BLa80 was analyzed by HPLC.
Results
After 8 weeks, the intervention group exhibited a significant reduction in the Pittsburgh sleep quality index (PSQI) total score compared to the placebo group, suggesting improved sleep quality. While no significant changes in alpha diversity were noted, beta diversity differed markedly between groups. The gut microbiota predominantly consisted of Firmicutes, Bacteroidetes, Actinobacteria, Proteobacteria and Fusobacteria, collectively accounting for over 99.9% of the gut microbiota. Statistical analysis showed that BLa80 significantly decreased the relative abundance of Proteobacteria phylum and increased the abundance of Bacteroidetes, Fusicatenbacter, and Parabacteroides compared to placebo. PICRUSt2 analysis indicated noteworthy enhancements in the pathways of purine metabolism, glycolysis/gluconeogenesis, and arginine biosynthesis due to BLa80 intervention. Moreover, BLa80 demonstrated notable GABA production, potentially contributing to its effects on sleep quality modulation.
Conclusions
These results demonstrate the ability of BLa80 to improve sleep quality through modulating gut microbiota and GABA synthesis, highlighting its potential as a beneficial probiotic strain.
Single-cell sequencing combined with bulk RNA seq reveals the roles of Natural Killer Cell in prognosis and immunotherapy of Hepatocellular carcinoma.
Authors: Wu Jiahao , Yang Fan , Huang Guanqun 
Published: August 2024

Abstract

Background
Hepatocellular carcinoma (HCC) is a type of highly heterogeneous tumor characterized by a high mortality rate and poor prognosis. Natural Killer cells (NK cells) are important immune cells that play a role in anti-tumor activities, antiviral responses, and immune regulation. The relationship between NK cells and HCC remains unclear. It would be valuable to identify a NK-related prognostic signature for HCC.
Methods
WGCNA and single-cell sequencing RNA were performed to identify NK cell related genes. Gene Enrichment Analysis were used to identify the potential signal pathway. After combing genes from WGCNA and scRNA, Unicox, LASSO + StepCox and Multicox analysis were used to filter prognostic-related gene and construct a prognostic model. Then we performed Proposed time analysis to identify the developmental trajectories of NK cells. Finally, ssGSEA and estimate methods were used to evaluate the immune microenvironment and immune sensitivity drugs.
Results
Using the scRNA-seq data, we identified 1396 genes with high NK cell scores. Based on the results of scRNA-seq, 250 NK-related genes were identified from WGCNA. We identified 223 intersecting genes between the scRNA-seq and WGCNA. After integrating clinical data with the bulk RNA-seq data of these intersecting genes, we constructed a prognostic model to accurately predict the prognosis of HCC patients. Eventually, we found that high-risk HCC patients exhibited worse survival outcomes and lower sensitivity to immunotherapy.
Conclusion
We constructed a risk model based on NK cell-related genes that can predict the prognosis of HCC patients accurately. This model can also predict the immunotherapy response of HCC effectively.
Multicenter MRI Radiomics Features to Predict IHD1 Gene Mutation Status of Low-Grade Glioma
Authors: Safari Mojtaba , Ameri Ahmad , Hamidi Ramin , Fatemi Ali , Archambault Louis , Beigi Manijeh 
Published: August 2024

Abstract

Background: IDH mutation has been incorporated into the World Health Organization classification of gliomas, and its role in treatment recommendations is under development.
Purpose: We aim to predict IDH1 mutation status from T1, T1-Gd, T2, and T2-fluid-attenuated inversion recovery (FLAIR) MRI sequences.
Material and method: We used 119 patients' data from the cancer genome atlas low-grade glioma (based on histopathologic criteria) (TCGA-LGG) public database. We extracted 103 image biomarker standardization initiative-compliant radiomics features from whole tumors of all MRI sequences, including shape, histogram, and texture features. An extra tree classifier was used to select A subset of features to maximize the prediction model performance and minimize the size of the feature space. A support vector machine (SVM) classifier tuned with a Bayesian optimizer was employed to construct the classifier.
Results: The extra tree classifier selected about one-third of the features for each MRI sequence. The Bayesian optimizer selected radial kernel for all sequences and its corresponding hyper-parameters including γ, \mathcal{C} for each sequence. The AUC-ROC curve values were above 0.96 ± 0.01) for all MRI sequences validation dataset, and the lowest and highest values of AUC for test data were 0.97 and 0.98 obtained from T2/T2-FLAIR and T1-Gd, respectively. The minimum test accuracy was just above 92% for T2-FLAIR and the highest value was just under 94% for T1.
Conclusion: Radiomics biomarkers from MRI sequences, including T1, T1-Gd, T2, and T2-FLAIR, could predict the IDH1 mutation status with a clinically acceptable performance after tuning an SVM classifier.
The genetic causal relationships of membranous nephropathy and serum albumin concentrations with the risk of developing venous thromboembolism, pulmonary embolism, and deep-vein thrombosis of the lower extremities: A two-sample Mendelian randomization study
Authors: Li Shasha , Xu Menglu , Wang Hongru , Zhang Qiaona , Li Lu 
Published: August 2024

Abstract

Background
The aim of this study was to explore the genetic-level associations of membranous nephropathy and serum albumin concentrations with the risk of developing venous thromboembolism(VTE), encompassing deep-vein thrombosis of the lower extremities and pulmonary embolism(PE), using bidirectional two-sample Mendelian randomization (MR) analysis.
Methods
Using summary-level data from large-scale genome-wide association studies (GWASs) in European individuals, in this study, MR was employed to examine potential causal relationships between several exposures (MN status and serum albumin concentrations) and outcomes (VTE, DVT of the lower extremities, PE). Two-sample MR analyses were conducted utilizing the TwoSampleMR and MRPRESSO packages within the R programming environment. Inverse-variance weighting (IVW) was used as the primary method for MR analysis. In addition, MR‒Egger, weighted median, weighted mode and MR–pleiotropy residual sum and outlier (MR–PRESSO) were used for complementary analyses. Furthermore, a series of sensitivity analyses were performed to ensure the validity and robustness of the results.
Results
The random-effects IVW analysis revealed a negative genetic causal association between serum albumin concentrations and the risk of developing DVT of the lower extremities (OR: 0.757, 95% CI: 0.574–0.999, P = 0.049), as well as between serum albumin concentrations and the risk of developing VTE (OR: 0.798, 95% CI: 0.659–0.966, P = 0.021). Conversely, the random-effects IVW analysis did not reveal a genetic causal relationship between serum albumin concentrations and the risk of developing PE (P > 0.05). However, genetically predicted MN status was not associated with the risk of developing VTE, DVT of the lower extremities or PE.
Conclusion
Our investigation revealed that serum albumin concentrations exhibit negative genetic-level causal relationships with the risk of developing VTE and DVT of the lower extremities, while two-sample MR analysis did not reveal genetic evidence supporting a significant association between MN and the risk of experiencing TE events (VTE, DVT of the lower extremities, PE).
Use of DFIT Analysis Approach to PFPD in a Pilot: Preliminary Verification and Application
Authors: zhang zhenzihao , Ma Xianlin , Zhan Jie , Xiong Chang , Chen Zhilin 
Published: August 2024

Abstract

The interpretation of post-fracture pressure decay (PFPD) data has long been a problem, with the advancement of hydraulic fracturing technology into zipper fracturing, the post-fracture pressure decay time has grown by multiple times. The post-fracture pressure decay now has sufficient time and data for analysis. In this study, we extend the fracture area estimation technique developed for diagnostic fracture injection test (DFIT) to PFPD scenario with multiple fractures, as a result of multiple clusters and more, as the major difference. The method was verified with ResFrac® simulation results, with the numerical simulator-generated results accurately overlapping the theory-calculated fracture total area. The developed method requires minimum principal horizontal stress, ie. Shmin, which is retrieved and extracted from DFIT test interpretation results. We then applied the developed technique to a pilot study to interpret two laterals’ 3 stages’ fracture areas and obtained reasonable estimations.
Machine Learning Models for Breast Cancer Classification
Authors: S Ravi Teja 
Published: August 2024

Abstract

Objectives
To develop a machine learning technique that could enable the automatic classification of malignancies of the breast either as benign or malignant, using clinical and pathological data extracted from diagnostic images and patient records.
Method
It has clinical data and tumor characteristics features, such as clump thickness, uniformity of cell size, and marginal adhesion. In this work, several machine learning algorithms are going to be implemented, such as Decision Trees, Support Vector Machines, Naive Bayes, and K-Nearest Neighbors. Data preprocessing steps include handling missing values and feature standardization. The performance metric used in evaluating these models are Accuracy, Precision, Recall, the F1-score, the Receiver Operating characteristic graph, and Confusion Matrices.
Findings: It has been observed in the experiment's outcomes that the accuracy rating was 97.14%, thus making the SVM model better than the Decision Trees, Naive Bayes, and KNN. The models were plus for the SVM model concerning precision, recall, and F1-score; hence, it was the most effective classifier in detecting benign and malignant tumors.
Novelty: The paper has provided an overall comparison of different machine learning methods applied earlier in breast cancer classification and strongly administers the effectiveness of SVM. Having multiple algorithms at one's disposal, detailed metrics on performance add to great worth in helping health providers to make proper and informed decisions about diagnosis and management regarding breast cancer.
CXCL12 inhibited T lymphocyte infiltration and promoted breast cancer metastasis
Authors: Liu Xianfu , Chen Yansong , Tang Jingwei , Zhang Hao , Zhang Xiaojing 
Published: August 2024

Abstract

Background
Breast cancer (BC) is a malignant tumor with the highest incidence rate in women. This work explored the function of CXCL10 and CXCL12 in tumor metastasis.
Methods
CXCL12 and CXCL10 protein expression levels were assessed by IHC in breast cancer tissues. String revealed that CXCL12 interacts with CXCL10 protein molecules. The GEPIA2 database revealed that CXCL12 was negatively correlated with CXCL10. CXCL12. The effects of CXCL12 on invasion and migration were detected by scratch and transwell experiments in breast cancer cells. CD4 + T and CD8 + T cells in the inflammatory microenvironment of breast cancer patients were evaluated with the NGDC database and verified by IHC.
Results
CXCL12 knockdown inhibited migration and invasion and enhanced the expression and secretion of CXCL10 in BC. CXCL10 is responsible for the recruitment of CD4 + and CD8 + T lymphocytes into tumors and enhances antitumor effects. The single-cell data showed that the patients in the CXCL10 + CD4+/CD8 + T-cell group and the CXCL12-CD4+/CD8 + T-cell group had better prognoses.
Conclusions
CXCL12 promoted BC migration and invasion. On the other hand, CXCL12 inhibited the expression and secretion of CXCL10, further inhibiting T lymphocyte infiltration and promoting breast cancer metastasis in the TME.
Empirical Analysis of Energy Consumption and Economic Growth in Sichuan and Chongqing Regions
Authors: Liu Bo , Chen Qinglin 
Published: August 2024

Abstract

Focusing on the Sichuan and Chongqing regions, this study aims to deeply investigate the relationship between energy consumption and economic growth. By collecting and organizing the relevant data in the region for many years, a panel data model is constructed, and econometric methods such as panel unit root test and panel cointegration test are used for empirical analysis. The results of the study show that the economic growth of Sichuan and Chongqing regions has a significant dependence on energy consumption. With the rapid economic development, energy consumption has been rising and the energy structure has been gradually adjusted. Further analysis reveals that there are differences in the contribution of different energy types to economic growth. Finally, based on the results of the study, targeted policy recommendations are proposed to promote the rational utilization of energy and sustainable economic growth in Sichuan and Chongqing.
Body Image and Related Factors in Patients with Lower Extremity Lymphoedema and Lipedema
Authors: Ersoy Sedef , Kesiktaş Nur , Ahisha Büşra Şirin , Ceylan Cansın Medin , Buğdaycı Derya , Paker Nurdan , Tanrıkulu Merve 
Published: August 2024

Abstract

Chronic edema in the lower extremities leads to significant negative effects on quality of life(QOL), body image perception, satisfaction, self-confidence, and self-esteem of affected individuals. This study aims to evaluate body image, QOL, and related factors in the lower extremity edema.This cross-sectional study includes 14 lymphedema, 12 lipedema patients receiving manual lymphatic drainage(MLD) treatment between December 1–30, 2023. Body image, dysfunctional thoughts about appearance, and QOL were evaluated using the Body Cathexis Scale (BCS), Beliefs About Appearance Scale (BAAS), and Lymphedema Quality of Life (LYMQOL). Circumference measurements of the lower extremities were taken before and after 20 sessions MLD. The mean age was 57.27 ± 11.5. No significant differences were found between the lymphedema and lipedema groups in terms of age, BMI, or pre-treatment BCS, BAAS, and LYMQOL scores (p > 0.05). Improvements in BCS and LYMQOL scores were significantly correlated with reductions in limb circumferences (p < 0.05). Post-treatment, both groups experienced significant improvements in body image and QOL scores, with no significant differences between the groups. It highlights that patients with lower extremity lymphedema and lipedema experience significant body image disturbances and reduced QOL. Early diagnosis and intervention are crucial not only for physical healt but also for enhancing social and mental well-being.