Miracle-dz/UniFAR-FTUs huggingface dataset:
The microbial diversity of groundwater and iron manganese sand filtered water in rural water supply project

Microorganism was an important part of groundwater pollution, which was related to the safety of drinking water. In rural water supply project, to identify the microbial community structure of groundwater source water and manganese sand filtered water, the structures of the microbial communities were illustrated through 16S rRNA sequencing using the Illumina MiSeq platform. The results showed that, the biodiversity of groundwater samples containing Fe 2+ and Mn 2+ was higher than those without Fe 2+ and Mn 2+ . In the same water supply project, the biodiversity of source water was higher than that of manganese sand filtered water. When the abundance of genus level was more than 1%, the six water samples have high biodiversity at the genus level, which were composed of 66 genera. Bacteria phylum that may contain pathogenic microorganisms were detected in water source and manganese sand filtered water samples. Although no coliform was detected, disinfection was also necessary. The influence order of water quality factors on microbial commu- nity was DO > COD > TN > Mn 2+ > Fe 2+ (DO – Dissolved oxygen; COD – Chemical oxygen demand; TN – Total nitrogen). In the same water supply project, the correlation between water source and filtered water sample was consistent with water quality factors, that is, DO, Mn 2+ and Fe 2+ were positively correlated. Actinomycetales, Rhodobacterales, norank_
Characterization of the complete mitogenome of brown-spotted locust, Cyrtacanthacris tatarica (Orthoptera: Acrididae: Cyrtacanthacridinae)

Abstract The complete mitochondrial genome of Cyrtacanthacris tatarica was firstly sequenced and analyzed. The circular mitogenome was 15,679 bp long, showing a bias of AT rich on the majority strand (42.34% of A, 29.99% of T, 11.19% of G, and 16.18% of C). It consisted of the typical 37 genes (13 protein-coding genes, two ribosomal RNA genes, and 22 transfer tRNA genes) and one longest non-coding region (called as control region). All PCGs used standard ATN initiation codons, and most PCGs were terminated with complete codons (TAA/TAG), apart from cox1 and nad5. Phylogenetic analyses based on the concatenated nucleotide sequences of PCGs supported that Cyrtacanthacridinae was monophyletic, and the sister group relationship between C. tatarica and Schistocerca gregaria gregaria was determined. Our results may provide molecular information for the genetic evolution and taxonomy of the acridid species.
Impairments, diseases, age and their relative risks of accident involvement: results from meta-analysis

Deliverable R1.1 in EU-project IMMORTAL is a literature review of impairment and accident risk associated with ageing and disease. The deliverable gives an updated literature review and meta-analyses of health-related risk factors referring especially to the medical conditions addressed in Annex III of Council Directive on driving licences (CD 91/439/EEC). The deliverable also gives an overview of national practices regarding mandatory medical examination and self-report for drivers applying for a driver’s licence and licence renewals in the countries participating in the IMMORTAL project. These countries are: Austria, the Czech Republic, Denmark, the Netherlands, Norway, Spain, and the UK. 62 reports, mainly case-control studies, have been reviewed giving a total of 298 results that serve as basis for calculations of relative risks of being involved in road accidents. All main categories of impairment except renal disorders were associated with a statistical significant increase in the risk of being involved in a road accident. Estimates of relative risks of impairments according to the main categories described in Annex III, were as follows:
Effect of acute kidney injury on hospital-based outcomes in patients admitted for variceal hemorrhage. Analysis of national inpatient sample database

Introduction Acute kidney injury (AKI) is known to be a marker of mortality in patients with cirrhosis and variceal hemorrhage. Aim To study the effect of AKI on hospital-based outcomes in patients with variceal hemorrhage. Material and methods We obtained data from the National Inpatient Sample for the years 2016–2018. Study inclusion criteria comprised adult variceal hemorrhage patients who also had AKI. The primary outcome of interest was in-hospital mortality. Secondary outcomes were length of stay, hospital charge, shock, blood transfusion, and ICU admission. We also determined the independent predictors of mortality in variceal hemorrhage patients using multivariate regression analysis. We used 2 different methods: multivariate logistic regression and propensity matching to adjust for confounders. Results The number of people included in this study was 124,430, of whom 32,315 (26%) had AKI. Mortality in variceal hemorrhage patients with AKI was 30.4% in comparison to 4.8% without AKI. The presence of AKI was associated with increased odds of mortality (AOR = 8.28, 95% CI: 7.45–9.20, p < 0.01), ICU admissions (AOR = 4.76, 95% CI: 4.42–5.13, p < 0.01), blood transfusion (AOR = 1.24, 95% CI: 1.15–1.32, p < 0.01), and shock (AOR = 3.41, 95% CI 3.07–3.79, p < 0.01). The patients with AKI also had increased length of stay and hospital charges. Higher Charlson co-morbidity index, African American race, and being admitted to large sized hospital were independently associated with increased mortality. Conclusions After analyzing the combined NIS dataset of 2016–2018, we concluded that patients admitted with variceal hemorrhage who has AKI are prone to adverse hospital outcomes.
Application of Genetic Algorithm on Spare Part Automotive Body Scheduling

Job shop scheduling is one of the complex problems in the manufacturing industry, such as an automotive body manufacturer. This manufacturing company, located in Cikarang, Indonesia, deals with huge customer demand that leads to difficulties in production scheduling. This will cause a delay in some jobs and product deliveries. The current system is using the semi-active scheduling approach and requires 637 minutes for performing 6 jobs with 5 machines. The genetic algorithm (GA) model is proposed as an alternative solution to solve this problem. The GA parameter is set as follow: The population size expected is 30 with maximum generation can be produced in amount of 50. The crossover rate, mutation, and preservation are set to 0.3, 0.1, and 0.1, respectively. After 50 generations are obtained, the optimum solution is shown in generation 6 with a makespan of 597 minutes. Thus, the genetic algorithm model is effectively reducing the makespan of the job-shop scheduling problem by 10% compared to the current method applied at the company.
Understanding and responding to remote mental health help-seeking by gay, bisexual and other men who have sex with men (GBMSM) in the U.K. and Republic of Ireland: a mixed-method study conducted in the context of COVID-19

ABSTRACT Background: Gay, bisexual and other men who have sex with men (GBMSM) are at far greater risk of experiencing poor mental health (MH) than wider society. This disparity was exacerbated by additional ‘unique to sexual minority status’ COVID-19 stressors. Objective: This sequential, mixed-methods study examined remote MH help-seeking among GBMSM in the U.K. and Ireland during the first COVID-19 lockdown. Methods and Results: Quantitative survey data (n = 1368), analysed with logistic regression, suggested GBMSM experiencing moderate-to-severe anxiety and those with a past MH diagnosis were most likely to seek MH support. Thematic analysis of qualitative interview (n = 18) data identified multiple barriers and enablers to GBMSM seeking remote MH help, with the help primarily sought from GBMSM-facing organisations and generic online resources. Finally, the behaviour change wheel was used to generate theoretically informed recommendations to promote MH help-seeking among GBMSM in Scotland. Implications: We discuss how applying these recommendations in the short, medium and long term will begin to address GBMSM’s MH needs, post COVID-19.
IECL: An Intelligent Energy Consumption Model for Cloud Manufacturing

The high computational capability provided by a data center makes it possible to solve complex manufacturing issues and carry out large-scale collaborative cloud manufacturing. Accurately, real-time estimation of the power required by a data center can help resource providers predict the total power consumption and improve resource utilization. To enhance the accuracy of server power models, we propose a real-time energy consumption prediction method called IECL that combines the support vector machine, random forest, and grid search algorithms. The random forest algorithm is used to screen the input parameters of the model, while the grid search method is used to optimize the hyperparameters. The error confidence interval is also leveraged to describe the uncertainty in the energy consumption by the server. Our experimental results suggest that the average absolute error for different workloads is less than 1.4% with benchmark models.
Scarred by Your Employer? The Effect of Employers’ Strategies on the Career Outcomes of Non-Standard Employment

In this article, we investigate how the strategies employers have for using non-standard employment – screening, workforce adaptability or cost reduction – affect the career outcomes of workers. To investigate this, we use multichannel sequence analysis to produce a typology of employment and income trajectories of workers with non-standard contracts in the Netherlands. The results show that workers starting employment in firms that use non-standard employment as a screening device are most likely to have careers with high levels of employment security. Strong scarring effects on the career are only found for workers who start employment in firms with cost reduction strategies.
Review on the Role of Fructose in Non-Alcoholic Fatty Liver Diseases

Non-alcoholic fatty liver disease (NAFLD) is a clinical liver condition characterized by accumulation of fat in the liver that can develop into non-alcoholic steatohepatitis (NASH) without any evidence of excessive alcohol consumption. NASH involves liver inflammation, necrosis, fibrosis, cirrhosis, and eventually liver cancer. Excessive intake of fructose is known to promote non-alcoholic fatty liver (NAFLD), because this sugar is both a substrate and an inducer of liver fat regeneration. In addition to the hepatic lipogenic effects, the consumption of fructose can also cause liver inflammation and cellular stress, such as oxidative and endoplasmic stress, which are conducive to the progression of steatosis to non-alcoholic steatohepatitis (NASH). Fructose also has direct and indirect effects on peripheral levels. For example, excessive fructose intake is associated with changes in the gut micro biota, which can lead to a worsening of the disease. Currently, there is no known treatment for NAFLD. Therefore, treatment is based on lifestyle changes, including changes in diet and physical exercise.
Futuristic Design Of LED Drivers As A Combinational Architecture Of Multiple Stage Regulators With A PFC Filter

The area of lighting, the progress made over the last few years is incredible. The LED drivers for low bay, medium bay and high bay applications are discussed. The topology suitable for street lighting applications with relatively high power factor, and the high brightness for LEDs is discussed. The future of outdoor lighting, street lighting coupled with energy conservation being the focus the LEDs are emerging as green light providers. With the state of art technology the multiple regulators topology coupled with an active filter has been discussed. The avoidance of electrolytic capacitor results in compactness, cost effectiveness and a reliable design. These drivers are mostly useful in the applications which demand the low maintenance and long life. The use of active filters improves the power quality. The PFC is achieved by a boost converter. The third stage is a buck converter for LED strings. The thermal protection for a LED driver circuit appreciably increases the life of LED strings and the high brightness. It helps in achieving longer, reliable operation. Lifetime of electrolytic capacitors depends on the capacitor temperature. Hence the space demand increases so as to keep the LEDs cool. The thermal protection provides a boost to the lamps CRI, cool and the uniform illumination. The topology for next generation is seen as a most prospective means of Li-fi technology provider as a parallel with its primary function. As compared to CRI, the life, reliability and maintenance are prime important factors against cost effectiveness for street lighting which this topology promises.
Effects of brief periods of combined plyometric exercise and high intensity running training on the fitness performance of male U17 handball players

This study examined the effects of 8-week combined plyometric exercise and high intensity running training (combined training) on the performance fitness in male U17 handball players. Participants were randomly divided between experimental (E; n = 15; age: 16.5 ± 0.4 years) and control (C; n = 13; age: 16.7 ± 0.3 years) groups. The E group performed combined training (4 workshops) twice a week over 8 weeks. Each session lasted approximately 35 min. The C maintained regular in-season training. Before and after the combined training, both groups underwent repeated sprint ability (RSA), sprint performance (5m, 10m, 20m and 30m), change of direction test (Modified change-of-direction T-test (T-half)), vertical jump (squat jump (SJ), counter-movement jump (CMJ), counter-movement jump with aimed arms (CMJA)), horizontal jump (five-jump test (5JT)), strength (1-RM half squat), and 20-meter shuttle run. Group x time interaction showed significant increases on sprint performance (p < 0.01, 8.6%; p < 0.001, 7.3%; p < 0.05, 6.9%; and p < 0.01, 8.9% over distances of 5m, 10m, 20m and 30m respectively) in E relative to C. The T-half also showed significant gains for E (p < 0.05, 6.8%), as did vertical jumping (p < 0.01, 32.7%; p < 0.001, 32.6% and p < 0.001, 23% for SJ, CMJ and CMJA respectively) and horizontal jumping (p < 0.05, 13.3%) compared to C. Moreover, there were significant improvements of RSA and 20 m shuttle run in E compared to C. However, there were no significant differences in 1-RM half squat between groups. We conclude that the allocation of short periods of a combined training is effective in enhancing performance fitness and thus can be commended to male U17 Handball participants as a potentially useful component of their training.
Antioxidant and Phytochemical analysis of selected lichen species from Mizoram, India

Lichens are an important source of biologically active substances, primarily phenols, which are well known for their antioxidant properties. The aim of the present study was to evaluated phytochemical constituents (flavonoids and phenols), and the antioxidant activity of the methanol extract of the selected lichens species viz. Usnea baileyi, Hypotrachyna cirrhata and Lobaria pulmonaria collected from Tawi Wildlife Sanctuary, Mizoram, India. The total phenolic content and total flavonoid of the various extracts varied from 31.11 to 67.84 mg of Gallic acid equivalent per gram dry weight (GAE/g DW) and from 27.43 to 37.06 mg of Quercetin equivalent per gram dry weight (QE/g DW) respectively. DPPH free radical scavenging activity of the methanol extract of tested samples showed a concentration-dependent manner with an IC50 value ranges from 133.6 µg/ml in L. pulmonaria to 243.9 µg/ml in U. baileyi. A comparison between lichens extract and positive control (BHT) showed a strong antioxidant capacity (IC50=10.81 μg/ml) of positive control than the lichens methanolic extract. A high negative and significant negative correlation (P<0.05) was observed between total phenol content and antioxidant activity IC50 of DPPH assay. Moreover, a positively high significant correlation was also obtained between total flavonoid and phenol content (P<0.01). The present study showed that bioactive compounds present in the lichen thallus may be used as good sources of natural antioxidants and a potential candidate for curing several ailments.
The Protective Effect of Sericin on AML12 Cells Exposed to Oxidative Stress Damage in a High-Glucose Environment

Two types of sericin peptides with high molecular weight (HS) and low molecular weight (LS) were obtained by the green water boiling ultrasonic method and the Ca(OH)2 ultrasonic method, respectively. In this experiment, a high-glucose medium was used to simulate a high-glucose environment in the body, and appropriate concentrations of normal alpha mouse liver 12 (AML12) hepatocytes were exposed to a series of concentrations of HS and LS. The effects of the two sericin peptides on AML12 cells in a high-glucose environment were investigated in detail in terms of oxidative stress and inflammatory factor expression in cells. HS and LS-groups reduced the levels of oxidative stress, inflammation, and tumor necrosis factor (TNF), and the latter significantly reduced the levels of TNF-α, interleukin (IL)-6, and nuclear factor (NF)-κB in AML12 cells. Additionally, it significantly reduced the oxidative stress damage caused by the high-glucose environment compared with normal AML12 cells. These results indicate that sericin may be an antioxidant recovered from industrial waste, and has potential and for use in the reduction of environmental pollution and the development of functional foods with antioxidation and antihyperglycemic effect.
Stochastic Discount Factor and Relative Entropy

In this paper, I answer a question what is an SDF in a simple, yet general one-period (i.e., buy-and-hold) setting by linking an SDF to the relative entropy. I show that there is a unique SDF that minimizes the relative entropy, which I call the M SDF. If the market risk premium is positive, the M -SDF is monotonically decreasing. If the market risk premium is negative, the M -SDF is monotonically increasing. Given the M -SDF, I deﬁne an f M -SDF which is exponentially-aﬃne in the logarithm of the stock price and unique. I apply ﬁndings in the paper to ﬁnancial derivatives and to the stochastic volatility model.
Elimination of Vitamin D Signaling Causes Increased Mortality in a Model of Overactivation of the Insulin Receptor: Role of Lipid Metabolism

Vitamin D (VD) deficiency has been associated with cancer and diabetes. Insulin signaling through the insulin receptor (IR) stimulates cellular responses by activating the PI3K/AKT pathway. PTEN is a tumor suppressor and a negative regulator of the pathway. Its absence enhances insulin signaling leading to hypoglycemia, a dangerous complication found after insulin overdose. We analyzed the effect of VD signaling in a model of overactivation of the IR. We generated inducible double KO (DKO) mice for the VD receptor (VDR) and PTEN. DKO mice showed severe hypoglycemia, lower total cholesterol and increased mortality. No macroscopic tumors were detected. Analysis of the glucose metabolism did not show clear differences that would explain the increased mortality. Glucose supplementation, either systemically or directly into the brain, did not enhance DKO survival. Lipidic liver metabolism was altered as there was a delay in the activation of genes related to β-oxidation and a decrease in lipogenesis in DKO mice. High-fat diet administration in DKO significantly improved its life span. Lack of vitamin D signaling increases mortality in a model of overactivation of the IR by impairing lipid metabolism. Clinically, these results reveal the importance of adequate Vitamin D levels in T1D patients.
High-Fidelity Induction Motor Simulation Model Based on Finite Element Analysis

This article proposes a new high-fidelity simulation model of an induction motor (IM) based on finite-element analysis (FEA). The proposed model enables fast and accurate IM simulation with the inverter circuit model and control algorithm. That is, the proposed model can represent non-ideal features of IM, such as magnetic saturation, spatial harmonics, skew, and saturation-induced saliency in high accuracy. To construct the proposed model, a dq equivalent circuit of the squirrel cage rotor is introduced. Based on this, the static FEA is conducted which can accelerate the model construction compared to the conventional time-stepping FEA technique. Then, a flux-based IM model is established, which has advantages on speed, accuracy, and memory size in the simulation. To verify the effectiveness of the proposed model, the models are constructed for two commercial IMs used for the industrial drive. IM control algorithms are tested in various operating conditions on the proposed model. The results are compared with the time-stepping FEA and the experiment for the verification of the proposed model.
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment

In recent years, various face-landmark datasets have been published. Intuitively, it is significant to integrate multiple labeled datasets to achieve higher performance. Due to the different annotation schemes of datasets, it is hard to directly train models using them together. Although numerous efforts have been made in the joint use of datasets, there remain three shortages in previous methods, <italic>i.e.</italic>, additional computation, limitation of the markups scheme, and limited support for the regression method. To solve the above issues, we proposed a novel <italic>Alternating Training Framework</italic> (ATF), which leverages the similarity and diversity across multiple datasets for a more robust detector. ATF mainly contains two sub-modules: <italic>Alternating Training with Decreasing Proportions</italic> (ATDP) and <italic>Mixed Branch Loss</italic> (<inline-formula><tex-math notation="LaTeX">$\mathcal {L}_{MB}$</tex-math></inline-formula>). In particular, ATDP trains multiple datasets simultaneously via a weakly supervised way to take advantage of the diversity among them, and <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_{MB}$</tex-math></inline-formula> utilizes similar landmark pairs to constrain different branches of the corresponding datasets. Besides, we extend the framework to easily handle three situations: single target detector, joint detector, and novel detector. Extensive experiments demonstrate the effectiveness of our framework for both heatmap-based and direct coordinate regression. Moreover, we have achieved a joint detector that outperforms state-of-the-art methods on each benchmark.
The Anthroform Arm: A System for the Study of Spinal Circuits

This paper reports the design, construction, and testing of a replica of the human arm which aims to be dynamically accurate as well as kinematically accurate. The arm model is actuated with McKibben pneumatic artificial muscles, and controlled by a special purpose digital signal processing system designed to simulate spinal neural networks in real time. An artificial muscle spindle has also been designed and tested. Design and test data are reviewed, and the paper describes how we hope to use the system to improve our understanding of the reflexive control of human movement and posture.