Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploration the potential mechanism of the SIRT1 and its target gene FOXO1/PPARGC1A in uteropelvic junction obstruction

Background Uteropelvic junction obstruction (UPJO) is a common surgical condition, which refers to the blockage of urine flowing through kidney into proximal upper ureter. However, the underlying mechanism of UPJO is poorly understood, especially the regulated and targeted genes of sirtuin 1 in UPJO. Methods We sequenced three renal tissues on the obstructed side of independent children with <20% differential renal function (DRF) and three samples with >40% DRF. Gene expression values were obtained and compared for differentially expressed genes (DEGs). Protein-protein interaction (PPI) analysis was conducted to identify the overlapping proteins of DEGs and Sirtuin 1 (SIRT1). The co-expression genes of overlapped genes were computed using Pearson correlation coefficient. The potential role of SIRT1 gene in UPJO was explored by resequencing 3 microarray data from RNA interference (RNAi) SIRT1 lines of renal tubular epithelial (NRK52E) cells in rat and three control datasets were sequenced again. The DEGs were obtained as parallel. GO/KEGG enrichment analysis and co-expression network were conducted to explore the underlying mechanism, particularly shared pathways or function in GO/KEGG enrichment analysis results. Results A total of 427 up-regulated genes and 1,099 down-regulated genes were identified among 3 mRNA-seq of renal tissue on the obstructed side of the independent children with <20% DRF and 3 samples with >40% DRF. According to prediction using the Search Tool for Retrieval of Interacting Genes/Proteins, 2 PPIs, FOXO1 and PPARGC1A, were identified among 2,524 DEGs, predicted as targets of SIRT1. Gene set enrichment analysis (GSEA) of their co-expression genes showed they may co-participate in biological activities including fatty acid degradation, regulation of signal transduction by p53 mediator. Moreover, GSEA results of DEGs was confirmed through RNAi SIRT1 lines of rat renal tubular epithelial (NRK52E) cells. Conclusions UPJO may cause abnormal phenotypic changes of renal tubular epithelial cells through SIRT1/FOXO1 mediated protein transport, establishment of protein localization, and intracellular transport. In addition, UPJO is involved in regulation of signal transduction, regulation of intracellular estrogen receptor signaling pathways, and nucleoprotein localization through SIRT1/PPARGC1A-mediated p53 mediators, causing abnormal phenotypic changes in renal tubular epithelial cells.
Isotropic Bipolaron-Fermion-Exchange Theory and Unconventional Pairing in Cuprate Superconductors

The discovery of high-temperature superconductors in 1986 represented a major experimental breakthrough (Nobel Prize 1987), but their theoretical explanation is still a subject of much debate. These materials have many exotic properties, such as dand p-wave pairing and density waves. The appearance of unconventional pairing is examined from a microscopic model, taking into account important properties of hole-doped copper oxides. We consider an exchange interaction between fermions and dominantly inter-site bipolarons to be the mechanism which leads to the pairing. We connect its momentum dependency to the well-established fermion-phonon anomalies in cuprate superconductors. Since charge carriers in these materials are strongly correlated, we add a screened Coulomb repulsion to this exchange term. We avoid any ad hoc assumptions like anisotropy, but rather provide a microscopic explanation of unconventional pairing for coupling strengths that are in accordance with experimental facts. One important outcome is a mathematically rigorous elucidation of the role of Coulomb repulsion in unconventional pairing, which is shown to be concomitant with a strong depletion of superconducting pairs. Our theory, applied to the special case of LaSr 214, predicts at optimal doping (i) a coherence length of 21Å, which is the same as that obtained from the Ginzburg–Landau critical magnetic field measured for this material, and (ii) d-wave pair formation in the pseudogap regime, i.e., at temperatures much higher than the superconducting transition temperature. The understanding of pairing symmetry and the pseudogap phase are central issues in the theoretical comprehension of high-temperature superconductivity, with possible technological applications like s-, d-, and p-wave Josephson junctions used nowadays in quantum computers.
An Empirical Investigation of Performance Challenges within Context-aware Content Sharing for VANETs

Connected vehicles is a leading use-case within the Industrial Internet of Things (IIoT), which is aimed at automating a range of driving tasks such as navigation, accident avoidance, content sharing and auto-driving. Such systems leverage Vehicular Ad-hoc Networks (VANETs) and include vehicle to vehicle (V2V) and vehicle to roadside infrastructure (V2I) communication along with remote systems such as traﬃc alerts and weather reports. However, the device endpoints in such networks are typically resource-constrained and, therefore, leverage edge computing, wireless communications and data analytics to improve the overall driving experience, inﬂuencing factors such as safety, reliability, comfort, response and economic eﬃciency. Our focus in this paper is to identify and highlight open challenges to achieve a secure and eﬃcient convergence between the constrained IoT devices and the high-performance capabilities oﬀered by the clouds. Therein, we present a context-aware content sharing scenario for VANETs and identify speciﬁc requirements for its achievement. We also conduct a comparative study of simulation software for edge computing paradigm to identify their strengths and weaknesses, especially within the context of VANETs. We use FogNetSim++ to simulate diverse settings within VANETs with respect to latency and data rate highlighting challenges and opportunities for future research.
European Journal of Public Health Studies-ISSN 2668-1056

Turkey has experienced a substantial development in Total Quality Management (TQM), measurement, and monitoring of hospitals. Ministry of Health has developed the Quality Standards in Healthcare (QSH) in order to adapt to international quality standards of health care to the health care services as a result of long research and experience. This study aimed to determine the effects of QSH applied in a public hospital on the quality performance of the organization. The researchers used a performance measurement model to measure the impact of the recently developed QSH on the quality performance and organizational excellence of a 320-bed public hospital in a developing country. Successful applying of TQM in hospitals requires the involvement and commitment of all health care providers. The study was carried out in an attempt to explore the attitude of health care providers applying TQM practices on hospital performance in a general public hospital. We collected data from 302 healthcare providers. We used a structured questionnaire to collect data. The study was based on total quality management theory and Kanji's Business Excellence (KBEM) model. The study used a 10-point Likert-type scale. The Structural Equation Model (SEM) was used to test whether the data obtained from the participants supported the model. The variable mean scores and path coefficients were calculated. The data were collected in five different periods between July 2017 and January 2019. The results of the study showed that the average attitudes of nurses, physicians, and administrative staff about the factors of hospital quality performance differed from the attitudes of technical staff. The study results reflected some strong areas, notably leadership, customer/patient satisfaction, quality management process, measurement, and organizational excellence. The results indicated that the hospital organization was mainly based on institutional excellence, quality improvement and patient safety, leadership and management performance, patient i Correspondence: email h.atalic@hotmail.com Hilmi Atalıç, Hüseyin Çiçek TOTAL QUALITY MANAGEMENT PRACTICES IN HEALTH CARE ORGANIZATIONS: PERCEPTION OF HEALTH CARE PROVIDERS European Journal of Public Health Studies Volume 4 │ Issue 2 │ 2021 77 satisfaction and institutional learning, corporate ethical performance. The results also identified opportunities for improvement in QSH standards for human resource management and the absence of standards that address existing issues in organizations with organizational structures.
Detection of Semantic Changes in Russian Nouns with Distributional Models and Grammatical Features

The paper presents the models detecting the degree of semantic change in Russian nouns developed by the team aryzhova within the RuShiftEval competition of the Dialogue 2021 conference. We base our algorithms mostly on unsupervised distributional models and additionally test a model that uses vectors representing morphological preferences of the words in question. The best results are obtained by the model built on the ELMo architecture with a small window, while the quality of performance of the “grammatical” model is comparable to that of the models based on much more sophisticated algorithms.
Advantages of Using a Spell Checker in Text Mining Pre-Processes

The aim of this work was the behavior analysis when a spell checker was integrated as an extra pre-process during the first stage of the test mining. Different models were analyzed, choosing the most complete one considering the pre-processes as the initial part of the text mining process. Algorithms for the Spanish language were developed and adapted, as well as for the methodology testing through the analysis of 2363 words. A capable notation for removing special and unwanted characters was created. Execution times of each algorithm were analyzed to test the efficiency of the text mining pre-process with and without orthographic revision. The total time was shorter with the spell-checker than without it. The key difference of this work among the existing related studies is the first time that the spell checker is used in the text mining preprocesses.
Determinants of Teachers’ Knowledge about Attention Deficit Hyperactivity Disorder

Background: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children, affecting approximately 5% of school-aged children globally. ADHD prevalence in Greece is approximately 6%, while globally ranges from 1% to 20% among school-aged children. Aim: The present study investigated the knowledge about ADHD and its determinants among teachers. Methods: A cross-sectional study was conducted from May to July 2020. The study population consisted of 152 teachers from 15 public elementary schools in Attica region. A convenience sample was used with a response rate of 89.4% (152 out of 170). All the participants were informed about the study design and provided written informed consent to participate in the study. Demographic and job data were collected including gender, age, family status, children, teaching children with ADHD, years of experience, employment status (regular or supply teachers), MSc or/and PhD diploma, continuous education, teaching children with special needs and selfassessment of effectiveness to manage children with ADHD. Teachers’ knowledge about ADHD was assessed with «Τhe Knowledge of Attention Deficit Disorders Scale» (KADDS). Results: Cronbach’s alpha coefficients for the KADDS total, “associated features subscale”, “symptoms/diagnosis subscale” and “treatment subscale” were 0.86, 0.7, 0.7 and 0.74 respectively, indicating very good reliability of the scale. Mean age of the teachers was 43.9 years. Teachers’ total knowledge about ADHD was moderate. Teachers had more knowledge about ADHD symptoms/diagnosis, then about ADHD associated features and lastly about ADHD treatment. According to multivariate analysis, decreased age, increased work experience and increased self-assessment of effectiveness to manage children with ADHD were associated with increased knowledge about ADHD. Moreover, regular teachers and teachers that participate in continuous education activities had more knowledge about ADHD. Conclusions: Early ADHD diagnosis is essential for better management of children and improved outcomes. Teaches are usually the first people that observed children with increased probability of having ADHD. Thus, teachers should have sufficient knowledge about ADHD in order to understand the disorder in depth, decrease their insecurity in classroom, have a favorable attitude toward children with ADHD and communicate and manage children with ADHD in an appropriate way.
From Prevention to Treatment: Prescription Medication and Health Behaviors

The efficacy of medication may be lower than clinical expectations due to adjustments in perceived risk that cause changes in behaviors, a phenomenon known as risk compensation. The FDA approval of new classes of drugs to treat high blood pressure and high cholesterol in 1973 is leveraged to identify the effect of medication availability on nonsmoking, adherence to a diet, and body mass index. I find that medication approval significantly decreases the probability of engaging in healthy behaviors, evidence of risk compensation. Once a diagnosis of cardiovascular disease (CVD) is received, a patient has updated information about the state of her health which may induce the adoption of healthy behaviors. For smoking, a diagnosis of CVD does partially attenuate the risk-compensation effect of medication. After medication is approved, individuals at high risk of CVD have increased take-up – an indication that risk screening is implemented. Also, a CVD diagnosis prompts medication use as a complement to multiple healthy behaviors. The evidence demonstrates the importance of promoting healthy behaviors to a broad population and increasing risk-factor salience prior to diagnosis. ∗I sincerely thank Timothy Beatty for his advice and mentorship through the research process. I thank Marianne Bitler for her support and thoughtful comments. I appreciate Richard Sexton for his guidance and valuable insights. I also thank Adam Sacarny, Annetta Zhou, my peers in the Social Mobility Tea Time and participants at the Giannini Foundation of Agricultural and Resource Economics Student Conference for providing valuable feedback. This Manuscript was prepared using FRAMCOHORT Research Materials obtained from the NHLBI Biologic Specimen and Data Repository Information Coordinating Center and does not necessarily reflect the opinions or views of the FRAMCOHORT or the NHLBI. †Department of Agricultural and Resource Economics, University of California, Davis, dmhorn@ucdavis.edu.
Are You Frightened? Children’s Cognitive and Affective Reactions to News Coverage of School Shootings

ABSTRACT As news involving violence can frighten children, people worry that news portrayals of gun violence are often appalling. Based on cultivation theory and the theory of cognitive development, this study examined parents’ perceptions of the children’s exposure and reactions to news coverage of school shootings. A survey of U.S. parents (N = 266) demonstrated that children’s exposure to news coverage of school shootings is positively related to children’s frightened responses, according to the parents’ perspective. Parents reported that children more exposed to the news are more likely to perceive the world as dangerous. Children’s frightened reactions were a mediator that explains the relationship. Parents also answered that depending on children’s cognitive developmental stages, children showed different coping strategies to frightening news. Parental mediation did not have a significant relationship with children’s frightened responses. Theoretical and practical implications of the findings are discussed.
Long non-coding RNA SNHG3 promotes the progression of clear cell renal cell carcinoma via regulating BIRC5 expression

Background Research has shown that the progression of clear cell renal cell carcinoma (ccRCC) is modulated by long non-coding RNAs (lncRNAs). However, the roles of specific lncRNAs in the malignancy of ccRCC are still unknown. Methods TCGA and GSE66272 datasets were used to predict differentially expressed genes (DEGs) in ccRCC. ENCORI database was employed to display BIRC5 miRNA network and potential lncRNA interactions for miRNAs. KM plotter and correlation analyses were performed to identify the overall survival (OS)- and BIRC5-related miRNAs. Quantitative real-time PCR (qRT-PCR) was used to verify the BIRC5 mRNA in the seventy paired clinical samples of ccRCC tissues. The ccRCC A498 and 786-O were individually transfected with lncRNA SNHG3 and LINC00997 and then western blotting was used to detect the BIRC5 protein expression. The Dual-luciferase reporter assay was used to examine the regulatory interaction between lncRNA SNHG3 and microRNA (miRNA/miR)-10b-5p. Results BICR5 is associated with the progression of ccRCC. The two novel lncRNAs (LINC00997, SNHG3) were up-regulated in ccRCC tissues and positively with the BICR5 protein expression. However, Suppressing SNHG3 expression reduced BIRC5 protein expression compared with the LINC00997, most importantly, Suppressing SNHG3 expression suppressed tumor progression in vitro. In addition, SNHG3 promotes the expression of BIRC5 protein by sponging microRNA-10b-5p. Conclusions Our findings suggest that SNHG3 plays a vital role in promoting ccRCC via the microRNA-10b-5p/BIRC5 axis and may serve as a novel therapeutic target for the treatment of patients with ccRCC.
Ion-Exchanged Silicoaluminophosphate-34 Membrane for Efficient CO2/N2 Separation with Low CO2 Concentration in the Gas Mixture

The Ba form of a silicoaluminophosphate-34 (SAPO-34) zeolite membrane was synthesized and investigated for carbon dioxide (CO2)/nitrogen (N2) separation with low CO2 concentration (as low as 5%) in the feed. The effects of the separation temperature, CO2 concentration in the feed, and pressure difference on the separation performance of the Ba form of a SAPO-34 zeolite membrane were investigated. A CO2 gas permeance of 17.5 × 10–7 mol/m2·s·Pa and a CO2/N2 separation selectivity of 78 were attained for the Ba form of a SAPO-34 zeolite membrane at 100 kPa pressure difference, 303 K, and 5% CO2 concentration in the feed. With low CO2 concentration (5%) in the CO2/N2 mixture, the Ba form of a SAPO-34 zeolite membrane was efficient in CO2/N2 separation and displayed good stability for the separation performance of CO2/N2 gas mixtures, in a gas separation durability test up to a total durability test time of 58 h.
Optimal planning of solar photovoltaic and battery storage for electric vehicle owner households with time‐of‐use tariff

This paper presents a practical optimal planning of solar photovoltaic (SPV) and battery storage system (BSS) for electric vehicle (EV) owner households with time of use (TOU) electricity pricing. The main aim of the optimisation problem is to minimize the Cost of Electricity (COE) while satisfying the design constraints over 20-year project lifespan. Novel rule-based home energy management systems are created to investigate the optimal sizing of two system conﬁgurations: (1) SPV-EV, and (2) SPV-BSS-EV. The arrival and departure times of the EV’s availability, as well as its initial state-of-charge are incorporated into the energy management system via stochastic functions. Sensitivity analyses of the feed in tariff, grid constraint, electricity demand, and available rooftop area are provided to investigate the variations of cost of electricity and capacities of SPV and BSS. From the study results, practical guidelines for grid-connected households, based on TOU energy pricing, are provided to select the optimal capacity of SPV and BSS to accommodate the existing EV. The optimisation method is general and applicable to any household owning EV; however, in this study realistic data of solar insolation and temperature as well as household electricity demand and electricity prices are implemented for South Australia. Uncertainty analysis is investigated based on 10-year real and stochastic data to prove the optimal results. It is found that the optimal conﬁguration for a typical SA household utilising TOU pricing with an EV requires a 10-kW SPV with a 10-kWh capacity of BSS.
Short- to medium-run forecasting of mobility with dynamic linear models

BACKGROUND Long-term projections of mobility are key inputs to sub-national population projections. These long-term projections are based on extrapolations of long-term trends. In cases of strong, potentially temporal, fluctuations it is informative to analyse the short-to medium -term dynamics of mobility, using data of monthly frequency. OBJECTIVE We develop two univariate models to forecast short-to medium-term mobility in the Netherlands. We apply a recent turning point in the time series of mobility to demonstrate how short-to medium-term forecasts can provide early warning signals about possible changes in the annual trend. METHODS The models we apply are Dynamic Linear Models (DLMs) which belong to the state space family of models. The two models developed in the paper incorporate trend, sea-sonal and autoregressive components but differ in the representation of the long-term trend. Posterior sampling allows for calculation of consistent prediction intervals for both monthly and annual data. CONCLUSION Forecast accuracy is evaluated using time series cross-validation. Point forecast errors and calibration of prediction intervals are compared to those of several other popular univariate forecasting models. One of our DLM models is more accurate than the models included as comparison. CONTRIBUTION The paper shows how short-to medium-term forecasts of mobility can be used to inform long-term projections based on annual data. This will be a challenging task for statistical offices generating post-COVID-19 demographic projections.
A Gold Nanoparticle-Based Assay for The Measurement of Nitrite and Nitrate Levels for Soil Macronutrient Measurement

Soil conditions are a key parameter that determines yield and quality of the crops harvested from it. The levels of nitrates, phosphates and potassium are the essential nutrients regarding soil, and most developing parts of the world do not have the luxury to perform any sort of soil analysis. Commercially available soil test kits were tested for their quantitative ability, but were found to be inadequate for regular soil testing in all parts of the world. This project takes a step towards addressing this problem by developing a nitrite/nitrate sensor that is precise, accurate and cost efficient using gold nanotechnology. While the platform is promising for widespread commercial soil testing, particularly in developing nations, the reaction has to be performed at 95C for 1 hour. The alternatives for improving the kinetics of the reaction to allow its implementation at lower temperatures and over shorter times are presented.
N2 Chemistry in Interstellar and Planetary Ices: Radiation-driven Oxidation

As part of our work on nitrogen-rich ices, the IR spectra and band strengths used in a recent paper to identify and quantify radiation-induced changes in an N2+H2O ice near 15 K are examined, along with reports of (i) a chemical tracer for N2+H2O ices, (ii) a new IR feature of solid N2, and (iii) a striking 15N isotopic enrichment. Problems are found for each IR band strength used and for each of the three claims made, to the extent that none are supported by the results presented to date. In contrast, new work presented here, combined with several older investigations, strongly supports the formation of di- and triatomic nitrogen oxides in irradiated N2-rich ices. Observations and trends in the chemistry of N2-rich icy solids are described, and conclusions are drawn. A considerable amount of material from previous chemical studies of N2-rich systems, spanning more than a century, is brought together for the first time and used to examine the chemistry of N2-rich ices in extraterrestrial environments. Needs are identified and suggestions made for future studies of N2-rich interstellar and planetary ice analogs.