Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of TLR3 gene 1377C/T (rs3775290) and TLR7 gene C/G (rs3853839) polymorphism with hand, foot, and mouth disease caused by human enterovirus 71 infection susceptibility and severity in the Chinese Han population: A meta-analysis of case-control studies

Background: Several case-control studies have been conducted on the relationship between rs3775290 C/T and rs3853839 C/G single nucleotide polymorphisms of the Toll-like receptor (TLR) gene and hand, foot, and mouth disease (HFMD) susceptibility and severity. This meta-analysis aimed to offer a systemic review of HFMD susceptibility and severity among the Chinese Han population associated with the C/T (rs3775290) polymorphism of the TLR3 gene or C/G (rs3853839) polymorphism of the TLR7 gene. Methods: A computer search was conducted using PubMed, Web of Science, Embase, CNKI, CBM, VIP, and WanFang databases. The time ranges were from database establishment to 30/7/2021. Articles selected according to the inclusion and exclusion criteria underwent data extraction and methodological quality evaluation. RevMan 5.4 and Stata 16.0 were adopted for meta-analysis, and the incorporated odds ratio (OR) values and 95% confidence intervals (CIs) were calculated. Sensitivity and publication bias assessments were performed. Results: 8 articles with 9 studies were selected. Among them, there were 858 cases and 577 controls in TLR3 rs3775290 studies as well as 2151 cases and 1554 controls in TLR7 rs3853839 studies. Regarding rs3775290 of TLR3, susceptibilities of the severe type of T-possessing individuals were larger than those of C-possessing individuals [OR = 1.34, 95%CI (1.10, 1.64), P = . 004]. The susceptibility of individuals with the severe TT genotype was 1.61 times that of individuals with the CC genotype [95%CI (1.07, 2.43), P=0.02], while susceptibility to HFMD was not influenced by the genotype. In terms of the rs3853839 of the TLR7 gene, C allele carriers have a higher risk of developing HFMD than G allele carriers. The susceptibility to HFMD in CC+CG individuals was 1.24 times than that in GG individuals [95%CI (1.07, 1.43), P = . 004]. However, no relationship was found between this polymorphism and severity of the severe type. No significant publication bias was observed in this study. Conclusions: rs3775290 (C/T) of TLR3 is associated with susceptibility to the severe type, whereas rs3853839 (C/G) of TLR7 is associated with susceptibility to HFMD. However, owing to the limited quantity and quality of the research, the aforementioned conclusions are yet to be justified by more high-quality research.
The Role of FinTech in Small Business Lending

This paper investigates the role of FinTech lending in credit markets for small-to-medium-size ﬁrms (SMEs). Using administrative data from France, we document three main ﬁndings. First, we ﬁnd that SMEs borrowing from FinTech platforms are of similar age and size to SMEs borrowing only from banks; they have less cash and tangible assets, but innovate and invest more. Second, FinTech credit and bank credit serve as complements for ﬁrms. Following a FinTech loan grant, ﬁrms experience an increase in long-term loans extended by both relationship and new banks. This pattern holds after we control for credit demand. We present evidence on a novel channel: FinTech platforms help relax small ﬁrms’ collateral constraints by oﬀering unsecured medium-term loans, which are commonly used for investments in tangible assets. Last, we ﬁnd that the credit expansion brought about by Fintech platforms have an adverse impact on the probability of bankruptcies at the extensive margin, but spurs growth in ﬁrm size, sales and employment at the intensive margin. These results suggest that FinTech lending may allow SMEs to pursue risky but innovative projects. We regulators. To understand the role of FinTech credit for ﬁrms, we investigate the credit dynamics of FinTech borrowers. We ﬁnd that FinTech loans serve as complements for bank loans and expand credit access for SMEs. We also present evidence consistent with FinTech platforms alleviate ﬁnancial constraint of innovative ﬁrms with limited collateral.
SAFETY OF LONG-TERM PROTON PUMP INHIBITORS: FACTS AND MYTHS.

BACKGROUND Proton pump inhibitors (PPIs) are one of the most prescribed drugs in the world. Frequent use and long-term maintenance of these drugs drew the attention of researchers for sporadic adverse effects reports. OBJECTIVE The purpose of this narrative review is to discuss appropriate data and causality related to these adverse events and PPIs. METHODS A narrative review was conducted by systematizing information about safety and adverse events on PPIs from 2015 to 2020. A structured search on Pubmed was performed to identify systematic reviews and meta-analysis investigating the following situations: a) gastric cancer; b) micronutrients deficiency; c) acid rebound; d) infections; e) fractures; f) dementia; g) kidney disease; and h) sudden death and cardiovascular changes. RESULTS Recent studies have potentially associated PPIs with some adverse events as osteoporosis-related fractures. There are also reports of intestinal infections, including Clostridium difficile, besides poor vitamins absorption and minerals such as vitamin B12, magnesium, and iron. Furthermore, there are some dementia, pneumonia, kidney disease, myocardial infarction, and stroke reports. For kidney diseases, studies consistently suggest that the use of PPI may be associated with an increased risk of adverse kidney events, especially in the elderly, with long-term PPI use and pre-existing kidney disease. Another additional question is whether chronic PPI use would also lead to the onset of gastric cancer. The abrupt discontinuation of PPIs is also related to increased gastric acid production above pre-PPI treatment levels; this phenomenon is called acid rebound. CONCLUSION The key to mitigate adverse effects is the rational use of PPIs at the lowest effective dose and in the shortest possible duration. Although these adverse effects have a potential clinical impact, their causal association is still subject to validation.
Procyanidin C1 Location, Interaction, and Aggregation in Two Complex Biomembranes

Procyanidins are known for their many benefits to human health and show a plethora of biological effects. One of the most important procyanidin is the procyanidin trimer C1 (PC1). Due to its relatively high lipid–water partition coefficient, the properties of PC1 could be attributed to its capability to interact with the biomembrane, to modulate its structure and dynamics, and to interact with lipids and proteins, however, its biological mechanism is not known. We have used all-atom molecular dynamics in order to determine the position of PC1 in complex membranes and the presence of its specific interactions with membrane lipids, having simulated a membrane mimicking the plasma membrane and another mimicking the mitochondrial membrane. PC1 has a tendency to be located at the membrane interphase, with part of the molecule exposed to the water solvent and part of it reaching the first carbons of the hydrocarbon chains. It has no preferred orientation, and it completely excludes the CHOL molecule. Remarkably, PC1 has a tendency to spontaneously aggregate, forming high-order oligomers. These data suggest that its bioactive properties could be attributed to its membranotropic effects, which therefore supports the development of these molecules as therapeutic molecules, which would open new opportunities for future medical advances.
Abraham Solvation Parameter Model: Calculation of L Solute Descriptors for Large C11 to C42 Methylated Alkanes from Measured Gas–Liquid Chromatographic Retention Data

Abraham model L solute descriptors have been determined for 149 additional C11 to C42 monomethylated and polymethylated alkanes based on published Kovat’s retention indices based upon gas–liquid chromatographic measurements. The calculated solute descriptors, in combination with previously published Abraham model correlations, can be used to predict a number of very important chemical and thermodynamic properties including partition coefficients, molar solubility ratios, gas–liquid chromatographic and HPLC retention data, infinite dilution activity coefficients, molar enthalpies of solvation, standard molar vaporization and sublimation at 298 K, vapor pressures, and limiting diffusion coefficients. The predictive computations are illustrated by estimating both the standard molar enthalpies of sublimation and the enthalpies of solvation in benzene for the monomethylated and polymethylated alkanes considered in the current study.
The Role of Dexmedetomidine in Tumor-Progressive Factors in the Perioperative Period and Cancer Recurrence: A Narrative Review

Abstract Dexmedetomidine, a specific α2 adrenergic receptor agonist, is highly frequently used in the perioperatively for its favorable pharmacology, such as mitigating postoperative cognitive dysfunction. Increasing attention has been recently focused on the effect of whether dexmedetomidine influences cancer recurrence, which urges the discussion of the role of dexmedetomidine in tumor-progressive factors. The pharmacologic characteristics of dexmedetomidine, the tumor-progressive factors in the perioperative period, and the relationships between dexmedetomidine and tumor-progressive factors were described in this review. Available evidence suggests that dexmedetomidine could reduce the degree of immune function suppression, such as keeping the number of CD3+ cells, NK cells, CD4+/CD8+ ratio, and Th1/Th2 ratio stable and decreasing the level of proinflammatory cytokine (interleukin 6 and tumor necrosis factor-alpha) during cancer operations. However, dexmedetomidine exhibits different roles in cell biological behavior depending on cancer cell types. The conclusions on whether dexmedetomidine would influence cancer recurrence could not be currently drawn for the lack of strong clinical evidence. Therefore, this is still a new area that needs further exploration.
Research on the Chemical Industry during COVID-19 Based on Fama-French Five Factors Model

The COVID-19 outbreak in 2020 has had a significant impact on many industries around the world. Regarding the impact of the epidemic, reasonable pricing of capital assets has an important reference value for investors' investment planning. This study helps investors make more reasonable investment plans by analyzing the changes in the Chemical industry's key factors in the US stock market during the period before and after the epidemic. Fama-French five factors model was adopted, which is effective in asset pricing. The target industry introduced in this research is a chemical that has been developed for decades but also has some new opportunities at the same time. Additionally, multiple linear regression is also performed in the analysis process to obtain the coefficients of five factors in the model. The results suggest that the beta of rm-rf factor changed from 1.065 to 0.909, which means the chemical industry tends to less sensitive to the market. The SMB and CMA factors are basically unchanged, with the HML factor changing from insignificant to significant due to the market's downward trend, while RMW performed in the opposite direction. Therefore, it concludes that investors should prefer to invest in the chemical industry with a smaller market scale and higher price-to-book ratio during COVID-19.
Screen Time and Associated Health Problems Among Undergraduates of University of Sri Jayewardenepura, Sri Lanka

Background and Objective: The combined time consumed by undergraduates for television viewing, internet usage and playing video games is considered as screen time. Previous studies provide evidence that screen time is associated with many complaints, such as headache, backache, and sleep problems. This study is aimed to investigate screen time and associated health problems among undergraduates. Methods: This descriptive cross-sectional study was conducted among conveniently selected 430 undergraduates from four faculties of the University of Sri Jayewardenepura. A pre-tested self-administered questionnaire was used to collect data. Data were analyzed using SPSS version 20. Descriptive and inferential statistics were used. Results: Results indicated that the mean screen time was 315.8 (SD=256.2) minutes per day during the week and 456.5 (SD=294.3) minutes per day during the weekend. Using the internet was the commonest screen activity among undergraduates rather than other screen time activities. Excessive screen time was significantly associated with headache, higher sleep latency, shoulder pain, hand pain, and pain in the eyes among undergraduates (p<.05). Conclusions: The findings indicated that a higher screen time could lead to health problems among undergraduates. Therefore, the student population need to be informed of the impact and adverse effects of excessive screen time usage and actions should also be taken to minimize modifiable determinants of excessive screen time.
THE SLEEP QUALITY OF CONGESTIVE HEART FAILURE PATIENTS WHO EXPERIENCE DYSPNEA

— Congestive Hearth Failure (CHF) is a terminal disease that causes a variety of very disturbing clinical manifestations such as dyspnea. Dyspnea in CHF patients can cause a sleep disorder such as Sleep-disordered breathing (SDB). The aim of study was to determine the quality of sleep in patients with congestive heart failure who experience dyspnea. The research method uses descriptive studies. Sampling method by accidental. Measurement of dyspnea with a modified Borg scale. Univariable analysis on the variables studied. The results showed that the dyspnea score was 4.2 ± 0.9, the green dyspnea category was 62.5% dominant, the most dominant sleep quality was the very poor category 56.25%. The conclusion shows that the most dyspnea category is in the green category, the dominant sleep quality is very bad, the sleep quality is very bad for male respondents as much as 77.78%, experienced by high school respondents, experienced by respondents in grade CHF III, experienced by respondents in the green dyspnea category. Further research is needed to improve sleep quality in people with CHF who experience dyspnea.
On aircraft flight performance in a perturbed atmosphere

Summary We consider the effect of atmospheric disturbances, such as wind, shears, turbulence, wakes and downflows, on aircraft performance (section 1), recalling the minimum of aerodynamics (section 2) necessary for the calculation of the effects on flight mechanics. For example, it is shown (section 3) that the relative lift change, due to wind, shear or both, coincides with the disturbance intensity G, defined as the instantaneous vertical acceleration, measured in g's, that an aircraft will experience as a consequence of atmospheric disturbances, assuming constant velocity and attitude. The disturbance intensity is a measure of the total force that the atmospheric disturbance can exert on the aircraft; this force may cause changes in normal acceleration, flight velocity and angle-of-attack, either isolated (section 5) or combined (section 6), in straight and level flight; in the case of a horizontal turn (section 7), the disturbance intensity specifies the changes in instantaneous turn rate, velocity, radius (section 8), acceleration and bank angle (section 9) due to atmospheric perturbations, and their cumulative effect over time in (section 10) deforming and displacing trajectories. These effects (section 11) are quantified by formulas and illustrated in graphics, and we indicate throughout the flight mechanical consequences of disturbances with the critical intensities G 1 = — 0·17 and G 2 = — 0·42; these are the disturbance intensities which, if uncompensated, would be just enough to cause an aircraft to stall (section 4) respectively at unstick on take-off and on approach to land. We conclude (section 12) with a discussion of the use of the disturbance intensity as a parameter in the reduction and analysis of flight data.
Ablation of Copper Metal Films by Femtosecond Laser Multipulse Irradiation

Ablation of copper using multipulse femtosecond laser irradiation with an 800 nm wavelength and 120-fs pulse duration is investigated theoretically. A two-temperature model, which includes dynamic optical and thermal-physical properties, is considered. The numerical results of the material thermal response obtained by varying the pulse number, the separation times between pulses and laser fluences are presented. Our results show that the increasing of pulse number with a separation time less than the thermal relaxation time can dramatically enhance the lattice temperature without a noticeable increase in ablation depth. Therefore, we suggest that the vaporization rate can be augmented in comparison to the melting rate during the same single-phase explosion at the same total fluence where a fast heat accumulation effect plays an important role for cleaner ablation during micromachining.
Simplified Damper Cage Circuital Model and Fast Analytical–Numerical Approach for the Analysis of Synchronous Generators

The long and enduring history of utilization of the wound-field synchronous generator in a large number of applications makes it one of the most known and consolidated electrical machine technologies. Thus, its design, modeling, and analysis processes have been widely exploited and implemented through various and different methods, including the equivalent circuit approach. When a damper cage is embedded within the rotor of the synchronous generator, its theoretical analysis becomes quite complicated. Thus, today numerical tools are being used. In this paper, an alternative way of modeling symmetric damper cages of salient-pole synchronous generators is presented. The proposed approach is embedded in the circuital model of the generator. A hybrid analytical–numerical model is implemented, permitting to accurately predict the voltage waveforms of the generator with excellent accuracy, however, at a lower cost of computational resources than the pure numerical method. A case study of an off-the-shelf 400 kVA machine is considered to develop and validate the proposed technique. The results are compared with the corresponding finite-element and experimental evaluations for validation purposes.
Serum Levels of high Molecular Weight Adiponectin and Leptin in Elderly Patients with Dementia

D is a progressive impairment of cognitive function sufficient to cause functional decline. It may affect up to 28 million individuals world-wide; 30% of those older than 85 years. Adiponectin is a cytokine released by the adipose tissue, and presents in the cerebrospinal fluid of human. It has important functions in the central nervous system. Leptin is another cytokine was implicated in cognitive decline and dementia processes. We aimed in the present study to determine the serum levels of adiponectin and leptin in elderly patient with dementia. 60 subjects aged 65 years and older were involved, divided into two groups; group (I): 40 demented patients and group (II): 20 age and sex matched healthy subjects as a control group. Participants with dyslipidemia, hypertension, diabetes mellitus, chronic liver diseases, chronic kidney diseases, thyroid disorders, or morbid obesity were excluded from the study. All participants were subjected to MMSE and MOCA tests, serum adiponectin and leptin were measured. Serum adiponectin was higher, while leptin levels were lower in demented patients. A significant negative correlation between serum levels of adiponectin and both MMSE and MOCA scores, while a high positive correlation was noted between serum levels of leptin and both MMSE and MOCA scores. We concluded that serum adiponectin and leptin were strongly associated with dementia in elderly patients, which may help in understanding of its pathogenesis and emergence of new drugs for better outcome of this devastated disease.
Optimal Energy Allocation in Multisensor Estimation Over Wireless Channels Using Energy Harvesting and Sharing

We investigate the optimal power control for multisensor estimation of correlated random Gaussian sources. A group of wireless sensors obtains local measurements and transmits them to a remote fusion center (FC), which reconstructs the measurements using the minimum mean-square error estimator. All the sensors are equipped with an energy harvesting module and a transceiver unit for wireless, directed energy sharing between neighboring sensors. The sensor batteries are of finite storage capacity and prone to energy leakage. Our aim is to find optimal power control strategies, which determine the energies used to transmit data to the FC and shared between sensors, so as to minimize the long-term average distortion over an infinite horizon. We assume centralized causal information of the harvested energies and channel gains, which are generated by independent finite-state stationary Markov chains. The optimal power control policy is derived using a stochastic predictive control formulation. We also investigate the structure of the optimal solution, a Q-learning based suboptimal power control scheme and two computationally simple and easy-to-implement heuristic policies. Extensive numerical simulations illustrate the performance of the considered policies.
Estimation of body input force transmission change due to parts’ modification using the impedance method under rolling excitation

This study aims to estimate the change in suspension to body input force transmission due to the softening of the connecting elastomer under rolling excitation. In this respect, the suspension coupled to a vehicle body via an elastomer bushing is modeled using point impedance. A numerical study is performed for achievable force reduction due to a softened bush under the influence of different impedance combinations for the suspension and the vehicle body. Following a numerical study, the proposed model is validated through empirical testing of McPherson strut type suspension in the lateral arm Y direction and multilink type rear suspension in the front mount X direction, which represent extremely stiff and extremely soft coupling cases for the suspension type, respectively. Due to the difficulties in measuring road-induced operational forces within an actual vehicle, a validation test is performed using a previously developed rig that enables direct measurement of the force without modifying the structure of the suspension. Additionally, the rig-measured force, which is potentially misleading due to the large deviation in stiffness between the rig and an actual vehicle, is investigated under varying combinations of suspension and bush stiffness.
Parametric Study on Masonry Arches Using 2D Discrete-Element Modeling

Maintenance of existing structures requires a solid understanding of their structural 12 behavior with their varying geometry, boundary conditions, and load cases. For the case of the 13 masonry arches, this understanding is still lacking in the field, yet, masonry arches are crucial parts 14 of the railway and highway network systems in many countries. In this paper, two dimensional 15 numerical models were prepared to simulate the nonlinear response of masonry arches under static 16 loading without soil-structure interaction effects. A custom-made Discrete Element Method (DEM) 17 software was employed for this research, such that the models represent a discontinuous medium 18 of rigid blocks. Different scenarios were generated on a hypothetical masonry arch model to 19 observe the influence of different parameters on the structural behavior of masonry arches. 20 Investigated parameters include: effect of backfill and spandrel walls, bond pattern at the arch 21 Manuscript Click here to download Manuscript Parametric Study on Masonry Arches Revised2 BP.docx