Miracle-dz/UniFAR-FTUs huggingface dataset:
Oxidation and Corrosion Behavior of New Low-Cost Ti-7Fe-3Al and Ti-7Fe-5Cr Alloys from Titanium Hydride Powders

High production costs of Ti alloys usually hinders their use in industry sectors like the automotive and hence, low-cost titanium alloys could broaden titanium alloy usage. This work presents the study of three alloys— Ti-Fe, Ti-Fe-Al, and Ti-Fe-Cr—produced by powder metallurgy methods. The design of the compositions was aimed at reducing cost and enhance the oxidation and corrosion resistance while not decreasing the mechanical performance. The use of titanium hydride as raw material instead of Ti powder is highlighted as a key feature in the design and manufacturing procedure of the alloys. Introducing a dehydrogenation process during sintering favors the densification process while reducing the oxygen contamination and the production cost. There is a lack of studies focused on the implementation of affordable PM Ti alloys in high demanding environments. Therefore, a study of high temperature oxidation resistance and electrochemical behavior was performed.
ASSOCIATION OF CORTICOTROPHIN RELEASING HORMONE RECEPTOR 1 GENE POLYMORPHISMS (RS242941 AND RS242939) WITH PERSISTENT ASTHMA AND ITS PHENOTYPE IN NORTHERN INDIAN ASTHMATIC CHILDREN: A CROSSâ€‘SECTIONAL STUDY

INTRODUCTION: Asthma is a common, chronic, relapsing disease in children. Corticotrophinâ€‘releasing hormoneÂ receptor 1 (CRHR1) gene is identified as a potential marker for steroid responsiveness. Genetic variations in CRHR1Â are expected to diminish the capacity to secrete endogenous cortisol. OBJECTIVE: This study aimed to find outÂ association of CRHR1 gene polymorphisms namely, rs242941 (G > T) and rs242939 (A > G) with persistent asthmaÂ and its phenotype in Northern Indian asthmatic children. MATERIALS AND METHODS: This was a hospitalâ€‘basedÂ crossâ€‘sectional study. Genotyping was done for 250 asthmatic children, aged 1â€‘12 years, using polymerase chainÂ reaction restriction fragment length polymorphisms method. RESULTS: Mutant homozygous genotype (TT) andÂ mutant allele (T) of single nucleotide polymorphism (SNP) rs242941 were found to be associated with increasedÂ risk for persistent asthma (odds ratio [OR] =4.2; 95% confidence interval [CI] =1.6â€‘10.9; P = 0.00 and OR = 1.8;Â 95% CI = 1.2â€‘2.8; P = 0.00, respectively). On analyzing genotypic and phenotypic associations, factors suchÂ as urban residence (OR = 2.01; 95% CI = 1.11â€‘3.63; P = 0.01), family history of asthma (OR = 1.80; 95% CIÂ = 1.00â€‘3.24; P = 0.05), previous hospitalization (OR = 2.12; 95% CI = 1.14â€‘3.96; P = 0.01), previous use ofÂ bronchodilators (OR = 3.64; 95% CI = 1.68â€‘7.94; P = 0.00), previous use of inhaled corticosteroids (OR = 2.37;Â 95% CI = 1.15â€‘4.93; P = 0.01), visit to doctor in last 1 year (OR = 1.82; 95% CI = 1.01â€‘3.28; P = 0.04), seasonalÂ variation in exacerbation (OR = 2.66; 95% CI = 1.16â€‘6.12; P = 0.01), and lower pulmonary functions ( P = 0.00)Â were found to be associated with SNP rs242941. Genotypes of SNP rs242939 showed no association with persistentÂ asthma and its phenotype. Minor allele frequency for SNP rs242941 and SNP rs242939 was 43.20% and 11.00%,Â respectively, in Northern Indian asthmatic children. CONCLUSION: In conclusion, we observed an association ofÂ SNP rs242941 with persistent asthma and its phenotype in Northern Indian asthmatic children. Â
Pregabalin protected cisplatin-induced oxidative neurotoxicity in neuronal cell line

Cisplatin (CSP) is used treatment of several cancers. However, it has also adverse effect through excessive reactive oxygen species production and activation of TRPV1 channel activation in neurons. Pregabalin (PGAB) has antioxidant and calcium channel blocker actions in neurons. I have investigated protective role of PGAB against the adverse effects of CSP in DBTRG neuronal cells. The neuronal cells were divided into four groups as control group, PGAB group (500 M for 24 1 hrs), CSP group (25 M for 24 hrs), and PGAB+CSP combination group. CISP-induced decrease of cell viability, glutathione peroxidase and glutathione level in the cells were increased in the neurons by PGAB treatment. However, CSP-induced increase of apoptosis, Ca2+ fluorescence intensity, TRPV1 current densities through the increase mitochondrial oxidative stress were decreased in the neurons by PGAB treatment. In conclusion, CSP-induced increases in mitochondrial ROS and cell death levels in the neuronal cells were decreased through the decrease of TRPV1 activation with the effect of PGAB treatment. CSP-induced drug resistance in the neurons might be reduced by PGAB treatment.
Association between obesity, depression, and inflammation among Seventh-day Adventists in the Biopsychosocial Religion and Health Study

OF THE DISSERTATION Association between Obesity, Depression, and Inflammation among Seventh-day Adventists in the Biopsychosocial Religion and Health Study by Michael Paalani Doctor of Public Health Candidate in Preventive Care Loma Linda University, 2010 Serena Tonstad, Chair The effects of obesity and depression on morbidity and mortality may be mediated by inflammatory processes. Homeostasis within the immune system depends on a balance of pro-inflammatory and anti-inflammatory cytokine molecules, so chronic inflammatory diseases may result from cytokine dysregulation. The target population consisted of 508 Seventh Day Adventists (SDAs) who participated in the Biopsychosocial Religion and Health Study (BHRS), a sub-study of the Adventist Health Study-2. The study was a cross-sectional analysis of the association between obesity, depression, and inflammation after controlling for demographic, socioeconomic, health behavioral, and health status variables among BHRS participants. Obesity was assessed by body mass index (BMI) and waist circumference (WC) measurements, while the Center for Epidemiological Studies Depression Scale 11-item short form was used to measure depression. Enzyme linked immunosorbant assays were
Command Filter-Based Finite-Time Adaptive Fuzzy Control for Uncertain Nonlinear Systems With Prescribed Performance

This article reports our study on the issue of finite-time adaptive fuzzy tracking control for a class of uncertain nonlinear systems with the prescribed performance. A novel finite-time prescribed performance control approach, in which fuzzy systems are employed to approximate completely unknown nonlinear functions, is proposed by incorporating the technique of prescribed performance control with the method of command filtered design. Based on the finite-time stability theory, all the signals of the closed-loop system can be bounded and the output tracking error can converge to a prescribed small region within a finite-time by the proposed scheme; meanwhile, the problem of complexity explosion can be avoided. The effectiveness of the presented method is verified by two examples.
Modeling dislocation-related leakage currents in GaN p-n diodes

Finite element analysis software was used to model and visualize two p-n junction models: one with a single threading dislocation (TD) and a control model without a dislocation. TDs are modeled as a Gaussian distribution of trap states with an FWHM of 5 nm localized around the r = 0 line in a cylindrical coordination such that the linear trap state density was 1 trap/c-translation; this model allows the cylindrical symmetry of the c-plane GaN crystal orientation to be utilized to avoid more computationally intensive 3D models. It was discovered that the interaction of the charged dislocation region with the p-n junction had many notable effects. At zero bias, it was observed that the depletion region width (using the Depletion Approximation) and the maximum electric field were markedly reduced near the dislocation line. More significantly, an asymmetric reduction in the diffusion barrier for electrons ( V bi eff = 3.03 eV ) and holes ( V bi eff = 0.81 eV ) was observed due to the asymmetric nature of the dislocation band bending related to the doping. The asymmetric reductions in diffusion barriers persisted into V A = 2.4 V leakage case where asymmetric current profiles for electrons and holes were also observed. Lastly, the diffusion barrier reduction resulted in an additional Shockley-Read-Hall nonradiative recombination leakage caused by a high np-product and trap state density near the intersection of the dislocation with the junction.Finite element analysis software was used to model and visualize two p-n junction models: one with a single threading dislocation (TD) and a control model without a dislocation. TDs are modeled as a Gaussian distribution of trap states with an FWHM of 5 nm localized around the r = 0 line in a cylindrical coordination such that the linear trap state density was 1 trap/c-translation; this model allows the cylindrical symmetry of the c-plane GaN crystal orientation to be utilized to avoid more computationally intensive 3D models. It was discovered that the interaction of the charged dislocation region with the p-n junction had many notable effects. At zero bias, it was observed that the depletion region width (using the Depletion Approximation) and the maximum electric field were markedly reduced near the dislocation line. More significantly, an asymmetric reduction in the diffusion barrier for electrons ( V bi eff = 3.03 eV ) and holes ( V bi eff = 0.81 eV ) was observed due to the asymm.
Energy saving control system development for external lighting

Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.
Associations of Vitamin D Level and Glucoregulatory Parameters in Type 2 Diabetes Mellitus

Abstract Vitamin D is known to affect the functions of pancreatic beta cells, but the effects of vitamin D deficiency on glucoregulatory mechanisms are still inconclusive. The aim of this study was to link vitamin D levels with parameters of insulin resistance and insulin secretion. The study included 70 male and female participants, 40 newly diagnosed patients with type 2 diabetes mellitus (T2DM) and 30 healthy controls. All participants were tested for fasting glucose, hemoglobin A1c, fasting insulin, vitamin D levels, and the HOMA indexes were calculated using HOMA2 calculator. Fasting glucose levels, insulinemia, hemoglobin A1c levels and HOMA IR were all significantly higher in the diabetic group (p<0.001), while vitamin D levels and HOMA S index were significantly lower (p<0.001). HOMA-B values did not differ between the two groups (p=0.31). Vitamin D levels moderately correlated with HOMA S and HOMA B indexes (r=0.466, p<0.001; r=0.394, p<0.001, respectively), whereas a negative correlation was found between vitamin D levels and HOMA IR (r=−0.285; p<0.001). Multiple regression analysis showed that vitamin D levels significantly predicted the values of HOMA B index (p=0.001), but they had no predictive value on HOMA IR (p=0.26). In conclusion, the group of newly diagnosed patients with T2DM showed significantly lower vitamin D values compared to the healthy control group. The connection between vitamin D, glucose levels, hemoglobin A1c and insulin secretion index underlines the role of this vitamin in glucoregulation.
Costs, Quality and Value in Cardiovascular Interventions: Implications for clinical decision-making and policy development

markdownabstract__Abstract__ The aim of this thesis is to study the clinical, economic and quality-of-life considerations for clinical decision-making and policy development in cardiovascular interventions. More specifi cally the goals are: 1. To investigate the disease prevalence, adoption trends, quality of life, and economic aspects associated with therapies of aortic stenosis. 2. To explore the economic and policy aspects of alternative revascularization therapies for coronary artery disease. 3. To study the performance of risk prediction models in cardiovascular clinical decisionmaking. 4. To appraise and improve the methodology of cardiovascular research, including systematic reviews, cost-eff ectiveness analyses, and observational studies.
Iron and Lipocalin-2 Modulate Cellular Responses in the Tumor Micro-environment of Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is a highly metastatic disease with poor outcomes. Iron is known to signal cellular responses, and its levels are regulated by lipocalin-2 (LCN2) expression, a PDAC pro-tumorigenic molecule. However, how iron and LCN2 function in PDAC is unclear. Here we demonstrate that iron levels regulate PDAC cell proliferation, invasion, expression of epithelial to mesenchymal tumor markers, and pro-inflammatory cytokines. Iron chelation increased the expression of the LCN2 receptor SLC22A17 in pancreatic stellate cells and the anti-metastatic gene NDRG1 in PDAC cells. Deletion of Lcn2 in mouse tumor cells modulated the expression of genes involved in extracellular matrix deposition and cell migration. Moreover, cellular iron responses were dependent on the Kras mutation status of cells, and LCN2 expression levels. Deletion of Lcn2 expression in PDAC suggests a protective role against metastasis. Thus, iron modulation and LCN2 blockade could serve as potential therapeutic approaches against PDAC.
Does Spirituality or Religion Positively Affect Mental Health? Meta-analysis of Longitudinal Studies

ABSTRACT The objective of this meta-analysis was to determine the longitudinal positive effect of religion or spirituality (R/S) on mental health. We summarized 48 longitudinal studies (59 independent samples) using a random effects model. Mental health was operationalized as a continuous and a dichotomous distress measure, life satisfaction, well-being, and quality of life. R/S included participation in public and private religious activities, support from church members, importance of religion, intrinsic religiousness, positive religious coping, meaningfulness, and composite measures. The meta-analysis yielded a significant, but small overall effect size of r = . 08 (95% CI: 0.06 to 0.10). Of eight R/S predictors that were distinguished, only participation in public religious activities and importance of religion were significantly related to mental health (r = .08 and r = .09, respectively; 95% CI: 0.04 to 0.11 and 0.05 to 0.12, respectively). In conclusion, there is evidence for a positive effect of R/S on mental health, but this effect is small.
Seed Production and Retention at Maturity of Blackgrass (Alopecurus myosuroides) and Silky Windgrass (Apera spica-venti) at Wheat Harvest

Abstract Blackgrass (Alopecurus myosuroides Huds.) and silky windgrass [Apera spica-venti (L.) P. Beauv. ] are becoming a significant problem in Europe. Due to the development of herbicide-resistant biotypes and unwanted side effects of herbicides, there is a need for new integrated weed management strategies to control weeds. Therefore, reducing weed infestations by targeting seed production during crop harvest should be considered. In 2017 and 2018, we estimated the fraction of the total seed production of A. myosuroides and A. spica-venti in a field that potentially could be collected by a grain harvester during winter wheat (Triticum aestivum L.) harvest. Twenty plants of each species were surrounded by a porous net before flowering to trap shed seeds during reproductive development. Seeds were collected and counted weekly up until and immediately before wheat harvest, and the ratio of harvestable seeds to shed seeds during the growing season was determined. Alopecurus myosuroides produced on average 953 seeds plant–1 in 2017 and 3,337 seeds plant–1 in 2018. In 2017 and 2018, 29% and 37% of the total A. myosuroides seeds produced, respectively, were retained on plants at maturity. Apera spica-venti produced on average 1,192 seeds plant–1 in 2017 and 5,678 seeds plant–1 in 2018, and retained 53% and 16% of the seeds at harvest, respectively. If a grain harvester potentially collected approximately 30% of the total seed production of the two grass weeds and removed or killed them, it would reduce seed input to the soil seedbank. However, such methods cannot stand alone to reduce weed pressure.
Improving Fake News Detection Using K-means and Support Vector Machine Approaches

 Abstract — Fake news and false information are big challenges of all types of media, especially social media. There is a lot of false information, fake likes, views and duplicated accounts as big social networks such as Facebook and Twitter admitted. Most information appearing on social media is doubtful and in some cases misleading. They need to be detected as soon as possible to avoid a negative impact on society. The dimensions of the fake news datasets are growing rapidly, so to obtain a better result of detecting false information with less computation time and complexity, the dimensions need to be reduced. One of the best techniques of reducing data size is using feature selection method. The aim of this technique is to choose a feature subset from the original set to improve the classification performance. In this paper, a feature selection method is proposed with the integration of K-means clustering and Support Vector Machine (SVM) approaches which work in four steps. First, the similarities between all features are calculated. Then, features are divided into several clusters. Next, the final feature set is selected from all clusters, and finally, fake news is classified based on the final feature subset using the SVM method. The proposed method was evaluated by comparing its performance with other state-of-the-art methods on several specific benchmark datasets and the outcome showed a better classification of false information for our work. The detection performance was improved in two aspects. On the one hand, the detection runtime process decreased, and on the other hand, the classification accuracy increased because of the elimination of redundant features and the reduction of datasets dimensions.
Sensorless DTSMC of a three‐level VSI fed PMSM drive

This study proposes a novel sliding mode control (SMC) structure for a three-level voltage source inverter (VSI). The proposed controller is implemented in discrete time and is applied for the closed-loop speed control of permanent magnet synchronous motor (PMSM) drive powered from a three-level cascaded H-bridge VSI. The proposed discrete time SMC (DTSMC) has the distinct advantages of control over maximum switching frequency and relatively lower total harmonic distortion compared to that of a conventional hysteresis modulation (HM) control. Unlike HM, the proposed DTSMC relates the maximum switching frequency to sampling time, resulting in better utilisation of the bandwidth of the VSI. Additionally, a procedure to combine the DTSMC with a sliding mode observer to achieve sensor-less operation of the PMSM drive is presented. Verification of the proposed DTSMC is conducted using simulation and experimental tests. The simulation and experimental results are presented.
On I/O Performance and Cost Efficiency of Cloud Storage: A Client's Perspective

1 CHAPTER
A mosaic renal myeloid subtype with T-cell inhibitory and protumoral features is linked to immune escape and survival in clear cell renal cell cancer

Mononuclear phagocytes moderate tissue repair, immune activation and tolerance. In the renal tubulo-interstitium specialized dendritic cells help maintain homeostasis and protect tubuli from immune injury. Human renal cell carcinoma (RCC) is immunogenic; yet immunotherapies that target T-cell dysfunction show limited clinical efficacy suggesting additional mechanisms of immunoinhibiton. We previously described “enriched-in-renal cell carcinoma” (erc)DCs that are often found in tight contact with T cells which are dysfunctional. Here we describe that ercDCs exhibit a distinct polarization state imparted by tissue-specific signals characteristic for RCC and renal tissue homeostasis. The resulting mosaic transcript signature includes features associated with host defense activity, angiogenesis/invasion and T-cell inhibition. An ercDC-specific profile was predictive for patient survival and suggests potential therapeutic targets for improved immunotherapy. Significance Immunotherapies, which re-invigorate T-cell activity, achieve clinical responses in subsets of patients only revealing additional layers of T-cell inhibition. Mononuclear phagocytes can be immunoinhibitory. But, they are highly plastic and repolarization may be possible if key programming molecules can be identified, potentially enabling antitumor responses in tumors refractory to checkpoint blockade. We describe a myeloid cell type with mosaic feature including tumor-promotion and immunoinhibition in human clear cell renal cell carcinoma. Observed tight contacts with T cells may translate into T-cell dysfunction. A high ercDC score in tumor tissue correlates with poor patient survival suggesting ercDCs as targets for therapeutic intervention. Targeting molecules that are identified in the ercDC profile may expand the range of patients effectively treated by immunotherapy. Highlights Bullet points: Renal cell carcinoma (ccRCC) harbors polarized mosaic myeloid cells (ercDCs) ercDCs are found in contact with dysfunctional T cells in ccRCC ercDCs express novel immunoinhibitory proteins High ercDC z-score in ccRCC tissue correlates with poor patient survival
Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression

Continuous point cloud data is being used more and more widely in practical applications such as mapping, localization and object detection in autonomous driving systems, but due to the huge volume of data involved, sharing and storing this data is currently expensive and difficult. One possible solution is the development of more efficient methods of compressing the data. Other researchers have proposed converting 3D point cloud data into 2D images, or using tree structures to store the data. In a previous study targeting streaming point cloud data, we proposed an MPEG-like compression method which utilizes simultaneous localization and mapping (SLAM) results to simulate LiDAR’s operating process. In this paper, instead of imitating MPEG, we propose new strategy for more efficient reference frame distribution and more natural frame prediction, and use a different algorithm to encode the residual, greatly improving the algorithm’s performance and its stability in different scenarios. We also discuss how various parameters affect compression performance. Using our proposed method, streaming point cloud data collected by LiDAR sensors can be compressed to 1/50th of its original size, with only 2 cm of Root Mean Square Error for each detected point. We evaluate our proposed method by comparing its performance with several other existing point cloud compression methods in three different driving scenarios, demonstrating that our proposed method outperforms them.