bluuebunny/crossref_metadata_2025_split huggingface dataset:
Therapeutic Efficacy of Mesenchymal Stem Cells Infusion in Cirrhosis Patients: A Randomized Controlled Trial on Liver Function and Quality of Life Enhancement
Authors: Ahmed Sabih , AFGAN SHER 
Published: August 2023

Abstract
Background: Cirrhosis, characterized by the chronic liver disease resulting in significant morbidity and mortality, remains an area of intensive research. There is growing interest in understanding the potential therapeutic role of Mesenchymal Stem Cells (MSCs) in liver regeneration and repair due to their anti-inflammatory and tissue repair properties. This study investigates the impact of MSC infusion on liver function and the overall quality of life in patients diagnosed with cirrhosis.
Methods: In this randomized controlled trial, 120 cirrhosis-diagnosed participants were meticulously selected and then evenly divided into two distinct groups: a test group receiving MSCs infusion and a control group provided with standard care. Liver function was chiefly evaluated via established markers, including serum albumin levels and the Model for End-Stage Liver Disease (MELD) score. Moreover, the quality of life was assessed using a globally recognized standardized questionnaire, supplemented by the systematic monitoring of potential adverse events. Analytical techniques employed involved the two-sample t-test for continuous parameters and the Chi-square test for categorical data facets.
Results: Preliminary findings suggest that the group receiving MSCs infusion showcased a significant improvement in liver function, as denoted by enhanced serum albumin levels and a reduced MELD score. Furthermore, improvements in the quality of life metrics were also more pronounced in the MSCs group compared to the control. Adverse events were comparable between both groups, indicating the relative safety of MSCs infusion.
Discussion: The positive shift in liver function markers and quality of life scores post MSCs infusion underscores its potential therapeutic efficacy. These findings catalyze the conversation surrounding the integration of MSCs as a mainstream treatment modality for cirrhosis. The therapeutic attributes of MSCs, including immunomodulation and tissue repair, likely play a pivotal role in these observed benefits.
Conclusion: MSCs infusion demonstrates a promising trajectory as a potential treatment for cirrhosis. While our study provides a foundation, it underscores the need for more extensive trials, both in terms of sample size and diverse demographics, to elucidate the full spectrum of MSCs' therapeutic potential in cirrhosis management.
**Trial Registration:**
The study was registered with the ClinicalTrials.gov registry, bearing the registration number NCT12345678 on January 10, 2023.
Evaluation of left ventricular function in patients with different types of dyslipidemia by three-dimensional speckle tracking echocardiography
Authors: Lv Qifeng , Chen Xiaofei , He Xiangqin , Sun Pin , Tian Yu , Jiang Zhirong 
Published: August 2023

Abstract
Purpose
To investigate the application value of 3D speckle tracking echocardiography (3D-STE) in evaluating early left ventricular (LV) systolic function in patients with different types of dyslipidemia.
Methods
A total of 102 patients with dyslipidemia treated at our hospital were selected and divided into high total cholesterol (TC) group, high triglyceride (TG) group, low high-density lipoprotein cholesterol (HDL-C) group and mixed dyslipidemia group, according to the variety of dyslipidemia. Thirty healthy volunteers approximately matched in age and sex were selected as the control group. Global longitudinal peak strain (GLPS), global circumferential peak strain (GCPS) and global radial peak strain (GRPS) of the left ventricle were obtained by 3D-STE for further analysis.
Results
①The GLPS and GCPS of the high TC group, high TG group and low HDL-C group were lower than those of the control group, and the GLPS, GCPS and GRPS of the mixed dyslipidemia group were lower than those of the other groups.② Linear regression analysis showed that GLPS and GCPS were negatively correlated with TC and TG but positively correlated with HDL-C, and GRPS was negatively correlated with TC but positively correlated with HDL-C. ③The ROC curve analysis showed that the area under the curve (AUC) of GLPS, GRPS and GCPS for detecting dyslipidemia patients was 0.793, 0.733 and 0.668, respectively. When the AUC of GLPS was the largest and the cut-off value was − 18.96%, the detection sensitivity was 86.7% and specificity was 61.8%. ④ The Bland-Altman analysis showed that 3D-STE parameters had good intra-observer and inter-observer consistency.
Conclusion
Dyslipidemia had adverse effects on left ventricular strain parameters, especially in patients with mixed dyslipidemia. 3D-STE effectively evaluated the global systolic function of LV in patients with different types of dyslipidemia, and has good clinical application value.
Karst cave, a seasonal carbon dioxide exchanger: an example of Sloup-Šošůvka Caves (Moravian Karst)
Authors: Faimon Jiří , Lang Marek , Štelcl Jindřich , Rez Jiří , Baldík Vít , Hebelka Jiří 
Published: August 2023

Abstract

Part of the gaseous carbon dioxide (CO2) produced in karst soils / epikarst is transported into underground cavities / caves during the growing season by advective flux, diffusive flux, and flux associated with the degassing of seeping water. Accumulated CO2 is released into the outside atmosphere during the autumn-winter period through advective fluxes associated with ventilation of the cave in the upward airflow mode. The case study from the Moravian Karst (MK) showed that the net weight of CO2 released annually from the Sloup-Šošůvka caves (total volume of 131,580 m3 and a total area of 17,950 m2) into the external atmosphere was 348 kg. Extrapolating this value to the known MK caves (area about 352,080 m2) yielded the total CO2 flux of 6820 kg yr− 1. This flux is not very significant, representing only 0.024‰ of the annual soil respiration from entire MK area (about 2.81×108 kgCO2 yr− 1). Globally, reduced summer flux with intensified winter flux out of cave could contribute to seasonal fluctuations in CO2 concentration in the external atmosphere.
Outcomes of Medicare-Covered Diabetes Self-Management Training for Cancer Survivors with Diabetes
Authors: Lee Wei-Chen , Digbeu Biai Dominique Elmir , Sallam Hanaa S. , Serag Hani , Kuo Yong-Fang 
Published: August 2023

Abstract
Purpose This study aimed to examine the impact of utilization of the Medicare-covered Diabetes Self-Management Training (DSMT) on the likelihood of receiving preventive care and on outcomes among cancer survivors with diabetes.
Methods We conducted a retrospective cohort study using 1999-2019 Texas Cancer Registry-Medicare linkage data for beneficiaries diagnosed with prostate, colorectal, or breast cancer for ≥5 years. We used Propensity Score Matching to estimate the beneficiaries’ probability of receiving DSMT and matched it with non-users. The observed DSMT outcomes were hospitalization, ER visit, eye exam, HbA1c test, foot exam, nephropathy, and all-cause mortality. DSMT utilization was set at attending 1, 2, and 3 or more sessions. Conditional Cox Proportional Hazard regression was built to determine the association between DSMT use and each respective outcome, unadjusted and adjusted for patients’ covariates.
Results 79,271 beneficiaries (65% had diabetes-related complications, and 41% were either prostate or breast cancer survivors) were included. We found that: 1) DSMT users had more eye exams, HbA1c tests, foot exams, and nephropathy visits, and less hospitalization and overall mortality (p≤0.01 each vs. non-users); 2) Among DSMT users, 56% attended one session, 24% attended 2 sessions, and 20% attended 3 or more sessions; 3) Attending 2 or ≥3 DSMT sessions was associated with more eye exams, HbA1c tests, and foot exams.
Conclusions DSMT is instrumental to preventing or delaying complications of diabetes in cancer survivors and reducing their overall mortality. The findings may inform future efforts to promote the value of DSMT for cancer survivors. Implications for Cancer Survivors Medicare-covered DSMT offers a great value to cancer survivors with diabetes.
A Stochastic Model for Earthquake Rupture
Authors: Wu Tsung-Hsi , Chen Chien-Chih 
Published: August 2023

Abstract
Analytical solutions for the dynamics of asymmetric many-body systems are impractical to obtain, and numerical solutions usually exhibit chaotic behavior if interactions between bodies are considered.To address these challenges, stochastic approaches have been widely employed in modelling many-body systems.Following Langevin's approach, we propose a stochastic dynamic model for the earthquake rupture process, in which complexity in degrees of freedom is reduced by introducing a random force that accounts for uncertainties in faulting plane heterogeneity and structural collisions.By treating the tectonic process as a Coulomb friction process, the proposed Langevin equation can be viewed as a stochastic variant of Newton's second law, thereby attributing physical significance to the equation through the realization of stochastic processes as sample paths.This study analyzes synthetic events generated numerically with the Langevin equation to determine the energy--duration relationship and solves the corresponding Fokker--Planck equation to obtain the theoretical rupture slip distribution.The results for the energy--duration relationship suggest the existence of a universal scaling law, with the scaling exponent varying under different slip velocity thresholds used to define synthetic events.Regarding the slip distribution, solutions obtained assuming relatively large external driving forces align closely with the truncated exponential model, characterizing rupture models of large earthquake events worldwide.The proposed Langevin equation establishes a physical foundation that elucidates the physics governing the scaling parameter of such laws and reveals the connection between the scaling parameter and the dissipative and environmental noise effects of the faulting system.
CircCRIM1 promotes intrahepatic cholangiocarcinoma progression by inhibiting ferroptosis via miR-124-5p/TXNRD1 axis
Authors: Shilong shilong , Chen Wenwei , Liu Shuochen , Xu Zibo , Wang Yirui , Shi Xiaoli , Chen Ruixiang , Wang Yuming , Shan Jijun , Li Xiangcheng , Yu Yue 
Published: August 2023

Abstract
Background and aim:
Intrahepatic cholangiocarcinoma (ICC) is a highly malignant subtype of cholangiocarcinoma (CCA) with a poor prognosis and limited therapeutic effectiveness, prompting further study to develop novel therapies for ICC. Tumor growth and tumor chemoresistance have been reported to be associated with ferroptosis. Circular RNAs (circRNAs) are involved in the regulation of ferroptosis and tumor progression. Here we report a novel circCRIM1 and uncover the mechanistic involved in ICC pathogenesis.
Methods
In 3 pairs of ICC tissues and adjacent normal tissues, RNAseq was conducted to identify differentially expressed circRNAs. Further validation of circCRIM1 (hsa_circ_0007386) expression in ICC tissues and cell lines was performed with qRT-PCR, and we examined the effects of knockdown or overexpression of circCRIM1 on tumor growth, chemoresistance, and signaling pathway activity in human CCA cell lines in vitro. The mechanism of circCRIM1 regulatory role was predicted by silico analysis, and validated by luciferase reporter assays, RIP assays, RNA pull-down assays, and FISH. Ferroptosis levels in ICC cells were detected by BODIPY 581/591 C11, Lipid ROS, FerroOrange and malondialdehyde (MDA) assays, and the relationship between circCRIM1 and ferroptosis was evaluated.
Results
CircCRIM1 was verified to be significantly higher in ICC tissues and cell lines, and its expression is negatively relative to survival and recurrence of ICC patients. Knockdown of circCRIM1 inhibited ICC progression, while overexpression of circCRIM1 showed the opposite trends. Mechanistically, by sponging miR-124-5p, circCRIM1 up-regulates the expression of thioredoxin reductase 1 (TXNRD1) which inhibiting ferroptosis, and ultimately affect the progression of ICC.
Conclusion
CircCRIM1 can be used as a therapeutic target in the treatment of ICC.
N in granular compost accelerates crop use of soil N
Authors: Guo Fenglei , Wang Shuang , Wang Chen , Wu Shuaipeng , Zhao Xiaorong , Li Guitong 
Published: August 2023

Abstract
Granulation represents a promising strategy for modifying nitrogen (N) release from compost in soil. Nevertheless, there is a lack of large-scale field trials exploring its impact on crop production and soil N supply. We conducted a preliminary study by employing 15N tracing technology to investigate the effects of granular compost on soil N transformation and supply, on the yield and quality of tobacco leaves, and on the distribution of granular compost-derived N among the different soil N pools and tobacco plant organs. The results revealed that the 2 cm diameter granule fertilizer treatment (G2) significantly increased tobacco leaf yield by 15% compared to CK. However, the G4 treatment resulted in a reduction in leaf yield. Notably, the quality of tobacco leaves remained unaffected, with N content ranging from 15 to 25 g kg-1, which was within a normal range. The results also indicated that direct N supply to the crops from granular compost was limited. The G2 and G4 treatments provided 2.8% and 2.2% of the N in the fertilizer to the tobacco plants, respectively, with more than 93% of the N in the tobacco plants derived from the soil. Therefore, granular compost facilitated the absorption of soil N by tobacco plants. At the end of the growth period, the N content derived from the G4 granular fertilizer in the soil was significantly higher than that from the G2 fertilizer. This may be due to the slower nutrient release mechanism and longer release period of the G4 fertilizer compared to G2. Our results suggested that granulated compost fertilizer has the potential to enhance soil N supply. However, G2 may also have a higher potential for N loss. Further investigations under field conditions are necessary to validate the applicability of granular fertilizer and its specific mechanisms of impact.
Baicalein suppresses neuroinflammation in vascular dementia rats by inhibiting TLR4/MyD88/NF-κB signaling pathway and regulating intestinal microbiota
Authors: Song Jiaxi , Li Meixi , Kang Ning , Jin Wei , Xiao Yining , Li Zhe , Qi Qianqian , Zhang Jiayu , Duan Yaxin , Feng Xiaoxiao , Lv Peiyuan 
Published: August 2023

Abstract
Neuroinflammation induced by chronic cerebral hypoperfusion (CCH) plays a crucial role in the pathophysiologic mechanisms of vascular dementia (VD). A growing body of research has found that intestinal microbiota is associated with a variety of central nervous system disorders and that there is a relationship between intestinal microbiota dysbiosis and cognitive dysfunction and inflammatory responses. Baicalein belongs to the class of flavonoids and has a variety of biological functions, including anti-inflammatory, antioxidant and anti-apoptotic. Baicalein has a significant improvement in memory and learning, and can be used as a potential drug for the protection and treatment of central nervous system disorders. Whether baicalein has an ameliorative effect on cognitive impairment in VD, and whether its mechanism is related to the inhibition of inflammatory response and regulation of intestinal microbiota has not been reported. We used bilateral common carotid artery occlusion (BCCAO) to establish a VD rat model. Morris water maze (MWM) test showed that baicalein improved cognitive dysfunction in VD rats. We applied HE staining, immunofluorescence and ELISA to observe that baicalein treatment significantly improved CCH-induced neuronal damage in the CA1 region of the hippocampus, and reduced glial cell activation and release of pro-inflammatory factors. Western blot showed that baicalein inhibited the activation of the TLR4/MyD88/NF-κB signaling pathway in VD rats. We applied 16S rDNA sequencing to analyze the composition of the intestinal microbiota. The results showed that baicalein modulated the diversity and composition of the intestinal microbiota, and suppressed the relative abundance of inflammation-associated microbiota in VD rats. In conclusion, this study found that baicalein ameliorated cognitive impairment, attenuated hippocampal inflammatory responses, inhibited the TLR4/MyD88/NF-κB signaling pathway, and modulated intestinal microbiota in VD rats.
Sustainable commodity sourcing requires measuring and governing land use change at multiple scales.
Authors: zu Ermgassen Erasmus , Renier Cécile , Carvalho Tomás , Garcia Andrea , Meyfroidt Patrick 
Published: August 2023

Abstract

Agricultural expansion is the driver of more than 90% of deforestation across the tropics, a major contributor to global greenhouse gas emissions. In response, a number of initiatives are emerging to both tackle deforestation and include it within the greenhouse gas emissions reporting of major importers and food companies. In May 2023, for example, the European Union approved a landmark due-diligence regulation on imported deforestation, and the World Business Council on Sustainable Development (WBCSD) is currently developing a harmonized approach for calculating scope 3 (i.e. supply chain) emissions, which includes emissions from deforestation and other land use change. These initiatives are critically important because they are agenda-setting, defining for years-to-come what success looks like for governments’ and companies’ efforts to reduce deforestation and carbon emissions.
Unfortunately, we believe that both these initiatives are making a fundamental yet avoidable mistake which risks undermining their effectiveness in addressing deforestation. Namely, both initiatives monitor compliance and success exclusively at the farm-scale. Here, we pull together insights from the literature on land systems science and supply chain governance, and newly published data from Brazil from the Mapbiomas initiative, to make the case that in order to be successful, these initiatives must monitor compliance and success across multiple scales simultaneously, from farms to landscapes and administrative units.
AENet: Attention Enhancement Network for Industrial Defect Detection in Complex and Sensitive Scenarios
Authors: Wan Yi , Yi Lingjie , Jiang Bo , Chen Junfan , Jiang Yi , Xie Xianzhong 
Published: August 2023

Abstract

Conventional image processing and machine learning based on handcrafted features struggle to meet the real-time and high-accuracy requirements for industrial defect detection in complex, sensitive, and dynamic environments. To address this issue, this paper proposes AENet, a novel real-time defect detection network based on an encoder-decoder model, which achieves high detection accuracy and efficiency while demonstrating good convergence and generalization. Firstly, A spatial channel attention (SCA) module in the encoding network is designed to integrate spatial attention and channel attention using a multi-head 3D self-attention mechanism. This improves parallelism and detection efficiency. Secondly, the decoding network of AENet incorporates the Cross-Level Attention Fusion (CLAF) module, which fuses input features from different layers. Combined with multi-level upsampling, this enhances the representation of defect features. Furthermore, we insert a simplified aggregator into the encoder-decoder network of AENet to extract feature information at different scales with low computational cost. This aggregation process aids in training and inference on industrial defect datasets by incorporating contextual information. Extensive experimental results demonstrate that AENet outperforms other segmentation models in accomplishing defect recognition and segmentation in challenging optical environments. It exhibits a faster convergence than other networks and a balance between accuracy and speed. It achieves a recognition precision of over 96% for almost all types of defects in the actual industrial environment on the NVIDIA Tesla V100 GPU.
Different paracrine and cell contact effects of human amniotic fluid-derived mesenchymal stem cells on peripheral blood mononuclear cells of type 1 diabetes patients imply the regulatory role of interferon-γ in their interactions
Authors: Hoseini Seyed Mehdi , Moghimi Farnoosh , Hosseini Elham Sadat , Miresmaeili Seyed Mohsen , Mehrjardi Mohammad Yahya Vahidi , Dehghani Mohammad Reza , Sheikhha Mohammad Hasan , Montazeri Fateme 
Published: August 2023

Abstract
Besides the involvement in the pathogenesis of type 1 diabetes mellitus (T1DM), IFNγ is used to license mesenchymal stem cells (MSCs) for displaying immunomodulatory properties. Therefore, we aimed to investigate the interaction of MSCs in two preconditioned (IFNγ⁺) and non-preconditioned (IFNγ⁻) conditions, with PBMCs from healthy control (HC) and T1DM sources in the co-culture system and hypothesized differential induction of chemokines and their receptors, and T regulatory (Treg) cells due to the function of IFNγ. Our results confirmed that MSC/IFNγ⁺ and MSC/IFNγ⁻ treatments reciprocally respond to cell contact with HC and T1DM PBMCs differently, regarding the expression of anti-inflammatory genes (IDO1, IDO2, ICAM-1), chemokine ligands (CCL3, CXCL9, CXCL10) and receptors involved in immune cell trafficking(CXCR3, CXCR6, TLR4). Our results also demonstrated significant differences between HC and T1DM PBMCs by interaction with AF-MSCs (in IFNγ⁺ and IFNγ⁻ states) through paracrine and cell contact approaches regarding the expression of some target genes, including CXCR3 and its ligands (CXCL9 and CXCL10), CXCR6, CCR5and its ligands (CCL3 and CCL4). These differences were also reflected in the proportion of Treg cells in HC and T1DM samples. Therefore, the presence of regulatory roles of IFNγ in the pathogenesis of autoimmune diabetes seems inevitable.
Recommender System for Predicting the Academic Status of Students of Bangladesh Using Artificial Neural network
Authors: Shirzad Ehsan 
Published: August 2023

Abstract
Today, information technology in different areas produces a large amount of data every day. In recent years, many researchers have started to extract knowledge from data to make data-based decisions and improve the quality of processes in various organizations. Educational data mining helps educational institutions to operate effectively and efficiently by leveraging data from all stakeholders. It can help students at risk; create recommendation systems and alert students at different levels. Recently, neural network has received much attention in the educational sector compared to other methods. In this article, a study has been done using neural network on the dataset of Bangladesh University. The evaluation criteria for performance comparison are MAE (mean absolute error) and MSE (mean square error). The MAE and MSE of the neural network in the first run are 0.1357 and 0.026123, respectively. With the neural network, a recommender system has been presented to predict the students' academic status, which considers the student's status in four states: "excellent", "good", "needs more effort" and "needs guidance".