Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenolic Compounds from Apples: Reviewing their Occurrence, Absorption, Bioavailability, Processing, and Antioxidant Activity – a Review

Data published by the World Health Organization (WHO) show that low consumption of fruits and vegetables might be the reason for the increased incidence of chronic diseases, and could be the cause of 14% of deaths from gastrointestinal cancers, 11% of those from coronary heart disease, and 9% of those from strokes [WHO, 2009; Arts & Hollman, 2005]. One of the hypotheses is that vegetables and fruits contain high amounts of biologically active compounds eliciting protective effects against lifestyle-related diseases [Arts & Hollman, 2005]. This effect might be due to the antioxidant properties of certain compounds. Antioxidants inhibit oxidation reactions, thus scavenging oxygen free radicals formed upon these reactions. Free radicals can bind proteins, damage lipids of cell membranes, or disrupt the structure of nucleic acids. They are naturally counteracted by the human organism; however, this natural balance might be upset by illnesses, stress, excessive consumption of highly-processed foods,
UniKER: A Unified Framework for Combining Embedding and Horn Rules for Knowledge Graph Inference

Knowledge graph inference has been studied extensively due to its wide applications in different domains. There are two main directions in solving the inference problem, i.e., logical rule reasoning and knowledge graph embedding (KGE). Logical rule-based approaches have shown their effectiveness due to the power of symbolic reasoning but suffer from low coverage, noise-sensitive, and scalability issues. KGE methods have demonstrated their good scalability when coping with large scale real-world KGs but fail to capture high-order dependency between entities and relations. Several attempts have been made to combine KG embedding and logical rules for better knowledge graph inference. Unfortunately, these approaches employ sampling strategies to randomly select only a small portion of ground rules or hidden triples, thus only partially leverage the power of logical rules in reasoning. In this paper, we propose a novel framework UniKER to address this challenge by restricting logical rules to be Horn rules, which can fully exploit the knowledge in logical rules and enable the mutual enhancement of logical rule-based reasoning and KGE in an extremely efficient way. Extensive experiments have demonstrated that our approach is superior to existing state-of-the-art algorithms in terms of both efficiency and effectiveness.
Title : Feasible Performance Evaluations of Digitally-Controlled Auxiliary Resonant Commutation Snubber-Assisted Three Phase Vo

Nowadays, rehabilitative robots, which have received more attention in the field of rehabilitation, can help patients in the rehabilitation training and reduce therapist workload. This paper suggests the use of surface electromyography (sEMG) signals and a bidirectional neural network (BRNN) for the estimation of the joint angles of lower limbs. The input of BRNN is the preprocessed sEMG signals and its outputs are the estimated joint angles of knee, ankle, and hip. In order to prove the usefulness of the BRNN, four normal and healthy subjects and two patients suffering from spinal cord injury (SCI) took part in the experimental tests. The healthy subjects exercised two movement modes including leg extension and treadmill at various loads and speeds, while the SCI subjects conducted only the treadmill exercise. To record useful information, seven leg muscles were used and then the hip, knee, and ankle joint angles were acquired at the same time. The experimental results showed the satisfactory performance of the proposed method in the estimation of joint angles by employing surface electromyography signals for both groups. The proposed estimation method can be used to control the rehabilitation robot of SCI subjects based on sEMG signals.
Influence of Availability and Serviceability of Student Accommodation Facilities on student performance in Federal University of Technology Minna

Student accommodation facilities are provided by institutions of higher learning in order to enhance the academic experience of the students. Accommodation facilities provide the basis for quality tertiary education. Extant studies affirmed that adequacy of hostel facilities affect the academic performance of students residing in hostel. Although, most Nigerian tertiary institutions are characterised by inadequate hostel facilities. This study was conducted to
Responses of nitrogen concentrations and pools to multiple environmental change drivers: A meta‐analysis across terrestrial ecosystems

AIM: We sought to understand how the individual and combined effects of multiple environmental change drivers differentially influence terrestrial nitrogen (N) concentrations and N pools and whether the interactive effects of these drivers are mainly antagonistic, synergistic or additive. LOCATION: Worldwide. TIME PERIOD: Contemporary. MAJOR TAXA STUDIED: Plants, soil, and soil microbes in terrestrial ecosystems. METHODS: We synthesized data from manipulative field studies from 758 published articles to estimate the individual, combined and interactive effects of key environmental change drivers (elevated CO₂, warming, N addition, phosphorus addition, increased rainfall and drought) on plant, soil, and soil microbe N concentrations and pools using meta‐analyses. We assessed the influences of moderator variables on these effects through structural equation modelling. RESULTS: We found that (a) N concentrations and N pools were significantly affected by the individual and combined effects of multiple drivers, with N addition (either alone or in combination with another driver) showing the strongest positive effects; (b) the individual and combined effects of these drivers differed significantly between N concentrations and N pools in plants, but seldom in soils and microbes; (c) additive effects of driver pairs on N concentrations and pools were much more common than synergistic or antagonistic effects across plants, soils and microbes; and (d) environmental and experimental factors were important moderators of the individual, combined and interactive effects of these drivers on terrestrial N. MAIN CONCLUSIONS: Our results indicate that terrestrial N concentrations and N pools, especially those of plants, can be significantly affected by the individual and combined effects of environmental change drivers, with the interactive effects of these drivers being mostly additive. Our findings are important because they contribute to the development of models to better predict how altered N availability affects ecosystem carbon cycling under future environmental changes.
MaNageMeNT guIdelINe FOR THe TRaPPed

The integrated management of the trauma patient represents an extreme complex and sequential medical and paramedical action, multidisciplinary, standartised, and specially with temporal terms and conditions, which starts to the accident scene and stops with the rehabilitation and social reintegration of the patient. In this complex system, the extrication represents an important medical part of the prehospital intervention with medical legal value and standards which requires profesionalised prehospital trauma teams trained to manage either the risks and the facilities and options to maximize the benefits for the patient.
Heterogeneity of the Trade Union Membership Effect on Support for Redistribution in Western Europe

Many analyses of cross-national survey data find that union members are more likely to be supportive of redistributive policies than respondents who are not union members. Analyzing British, German, and Swedish survey data, this paper demonstrates that the union membership effect on support for redistribution varies depending on the kinds of unions to which individuals belong. Regardless of their own income, wage-earners who belong to unions whose membership encompasses a wide swath of the income distribution tend to be more supportive of redistribution than members of unions that are less inclusive. This suggests that the decline of union membership among poorly paid wage-earners—a common trend across OECD countries—has more far-reaching implications for the politics of redistribution than commonly recognized. MOSIMANN, Nadja, PONTUSSON, Harry Jonas. Heterogeneity of the trade union effect on support for redistribution in western Europe. Geneva : 2020
Noninvasive glucose monitoring using polarized light

We propose a compact noninvasive glucose monitoring system using polarized light, where a user simply needs to place her palm on the device for measuring her current glucose concentration level. The primary innovation of our system is the ability to minimize light scattering from the skin and extract weak changes in light polarization to estimate glucose concentration, all using low-cost hardware. Our system exploits multiple wavelengths and light intensity levels to mitigate the effect of user diversity and confounding factors (e.g., collagen and elastin in the dermis). It then infers glucose concentration using a generic learning model, thus no additional calibration is needed. We design and fabricate a compact (17 cm x 10 cm x 5 cm) and low-cost (i.e., <$250) prototype using off-the-shelf hardware. We evaluate our system with 41 diabetic patients and 9 healthy participants. In comparison to a continuous glucose monitor approved by U.S. Food and Drug Administration (FDA), 89% of our results are within zone A (clinically accurate) of the Clarke Error Grid. The absolute relative difference (ARD) is 10%. The r and p values of the Pearson correlation coefficients between our predicted glucose concentration and reference glucose concentration are 0.91 and 1.6 x 10-143, respectively. These errors are comparable with FDA-approved glucose sensors, which achieve ≈90% clinical accuracy with a 10% mean ARD.
The Inhibitory Effect of An Ethanol Extract of Sida rhombifolia Leaves on Key Carbohydrate Hydrolyzing Enzymes.

Aim The study was conducted to screen the ethanol extract of Sida rhombifolia leaves for its phytochemical constituents and elucidate some of its possible mechanism of action in lowering hyperglycemia. Methodology The ethanol extract of Sida rhombifolia was prepared and its effect of carbohydrate hydrolyzing enzymes (α-amylase and α-glucosidase) both in vitro and in vivo, and glucose uptake by muscle tissues investigated. Qualitative phytochemical screening was also conducted. Results Sida rhombifolia extract contained bioactive phytochemicals and showed significant dose dependent inhibition of α-amylase and α-glucosidase with IC50 values of 831.76 and 1202.3 µg/mL respectively. It significantly promoted glucose uptake by rat hemi-diaphragms. The extract significantly reduced postprandial glycaemia in normal rats administered starch and sucrose. Conclusion Sida rhombifolia ethanolic extract contains bioactive compounds and displayed strong anti-diabetic properties, therefore, it has potential use as an anti-diabetic agent.
Chemical Composition of Anthocleista vogelii and Anti-oxidant Effect of Its Methanolic and Acetone Extracts

This study entailed determination of chemical composition of Anthocleista vogelii and anti-oxidant effect of its methanolic and acetone extract. The phytochemical screening of Anthocleista vogelii showed quantitatively the presence of alkaloids, Tannins, Flavonoids, Saponins, Glycoside and phenols. The results from the proximate analysis indicated that the plant contained some important nutrient such as carbohydrate with percentage content of 16.07 – 34.67%, lipid 5.40 – 7.35%, and crude protein 2.23 – 2.41%. The mineral element analysis showed that potassium (K) was 32.6 – 41.1 mg/kg, sodium (Na) 5.416. 21 mg/kg, calcium 9.74 – 17.81 mg/kg, magnesium (mg) 5.71 – 32.0 mg/kg and Zn 0.32 – 0.68 mg/kg. The acetone and methanol leaves, stem bark and roots extracts of Anthocleista Vogelii exhibited reasonable scavenging activity in the DPPH (1, 1diphenyl – 2picrlhydrazyl) assay. The methnaolic extracts had a better inhibiting ability than acetone extract Original Research Article Ikpe et al.; CSIJ, 29(8): 7-18, 2020; Article no.CSIJ. 58876 8 which could be attributed to higher content of tannin and Saponin in methanolic than acetone extract. The results were discussed with referenced to World Health Organization (WHO) standard of nutritional and medicinal values.
An Empirical detection of HFT strategies

This paper detects empirically the presence of High Frequency Trading strategies from public data and examines their impact on financial markets. The objective is to provide a structured and strategic approach to isolate signal from noise in a high frequency setting. In order to prove the suitability of the proposed approach, several HFT strategies are evaluated on the basis of their market impact, performance and main characteristics.
BRAIN TUMOR DETECTION AND CLASSIFICATION USING MRI IMAGES AND CNN ALGORITHM

In this reaserch paper we have concentrate on MRI Images through brain tumor detection using normal brain image or abnormal by using CNN algorithm deep learning. The brain is largest and most complex organ in human body that works with billions of cells. Tumors types like benign and malignant tumor. The MRI images and CNN algorithm is used to detecting the brain tumor. There are many existing techniques are available for brain tumor segmentation and classification to detect the brain tumor. Number of techniques available to detect the brain tumors. CNN based classifier is used to compare the trained data and test data, from this data get the best result.
FACTORS INFLUENCING TOURIST TO PURCHASE SOUVENIRS

This study aimed to investigate the factors affecting on the tourist’s purchase behavior. In this study, researchers made questionnaire with 24 questions. Target respondents of this survey are tourists who purchase souvenirs in stores. About 182 tourists were selected used purposive sampling method to respond the questionnaires. Factors that influence purchase decision: personal, social factors, psychological, and situational factors were used as variables in this study. Data resulted from research questionnaire, were analyzed by Exploratory Factor Analysis (EFA) and multiple regression analysis. The reliability of social and situational factor were measured through Cronbach's alpha as 0.774 and 0.758. Therefore, based on the results of this study, the variable of situational factors had the highest impact on tourist’s purchase behavior, then followed by social factors. KeywordTourist, purchase, personal, social, psychological, situational, souvenir
Algebraic Multigrid Methods on Parallel Architectures

Algebraic multigrid methods (AMG) are multigrid methods which construct grid hierarchies using algebraic information contained in the system matrix of the linear equation to be solved. This makes AMG useful for more general applications, including problems for which no grid interpretation is available. AMG offers optimal linear complexity and is therefore especially well-suited for large problem-sizes. An efficient stand-alone solver for linear equations, AMG is even more often used as a preconditioner for Krylov methods to improve convergence. Many variations of the AMG algorithm have been developed and the approaches usually differ in terms of convergence, setup time and complexity. One important aspect, driven by recent hardware development trends, is parallelism: Although parts of the basic AMG approaches are sequential, this can be overcome by certain modifications to the algorithm. For this thesis, implementations of several AMG preconditioners were developed for ViennaCL, a mathematical C++ library supporting parallel computing via OpenCL. These implementations can take advantage of parallel execution by using OpenMP threads for the setup phase (CPU) and OpenCL for the solver phase (GPU). Benchmark results show that GPU computing can increase solver performance for large matrices by a factor close to the theoretical maximum, but the total computation time is bounded by the setup phase computed on the CPU. For various problems, different AMG methods lead to optimal results, justifying the multitude of AMG variations available. An interesting consequence of these benchmarks is the relative independence of computation time from convergence factor and this is even stronger if the GPU is used. Methods with lower convergence usually offer faster setup but also a lower number of coarse levels and operator matrix density, reducing solver time even though more iterations are required. Complexity, therefore, seems to be a better indicator for AMG performance than convergence.
Antineoplastic property of Ashwagandha for Paclitaxel concomitant, can induce p53-mediated apoptosis: In vitro search for anti-proliferative phytogent

Ashwagandha (Withania somnifera L. Dunal) is an important and traditional medicinal herb found in India. It has been reported that, Ashwagandha has potential anti-proliferative as well as chemo-accelerative activity. The goal of this study was to investigate the most probable reason behind Ashwagandha’s anti-proliferative and chemo-accelerative activity. In addition, chromatographically isolate and chemically characterize some new compound which have antineoplastic property and find the mode of action of it. In vitro assays (MTT and Western blot) for anti-tumorigenic potentiality of the isolated drug were carried out on HT-29, KB and HeLa cell lines. In this experimental study, purification and chemical characterization (by UV, FT-IR, HPLC, LC-MS, 1H-NMR) of an anti-cancer drug has been found as Paclitaxel. MTT-assay shows an average IC50 value of the isolated Paclitaxel is 10 nM. Western blot data reveals there may be ROS-associated p53-MDM2-related cell proliferation and apoptosis by the drug’s in vitro effect.
Performance comparison between variants PID controllers and unity feedback control system for the response of the angular position of the DC motor

Received May 11, 2020 Revised Aug 7, 2020 Accepted Aug 17, 2020 This paper proposed a detailed study for the response of angular position of the rotor of a DC motor. It is a comparative analysis to the behavior of the DC motor when the motor is alone and when it is with controllers. Furthermore, a comparison between the responses of controllers themselves. A conventional PID controller which was tuned by using Ziegler and Nichols method was proposed in this paper. Also, Modification PID controllers were proposed in this paper. The modification PID controllers are PI-D controller and I-PD controller. Mathematical calculations were done to get the transfer functions for the DC motor and the controllers. Time domain specifications and figures were obtained for each case by using Matlab program. The obtained results were summarized in tables. This paper determined which the controller is the best one depending on the obtained figures and the time domain specifications.
A rapid thermal characteristic modelling approach of machines tool spindles based on bond-graph method

The thermal issue of spindles obviously has a great influence on the quality of machined work-piece. This paper focuses on a typical spindle in a vertical machine center and proposes a novel rapid thermal characteristic modelling approach without detailed mechanical structure information and precise parameter calculation. Firstly, the structure of this spindle is simplified and then divided into different detailed thermal components. According to thermal characteristic analysis, the network of thermal capacitances and thermal resistances is presented. Consequently, a thermal characteristic model describing the heat transfer in this spindle based on bond-graph method is established. The thermal properties in the spindle are briefly estimated, and further calibrated by experiment data. Finally, a verifying experiment is designed to testify the temperature variation in different rotation speed. The results show that the predicted thermal behaviour matches the experiment very well, which indicates the practice of the bond-graph based thermal characteristic model of spindle. Bond-graph method; Lumped mass method; Thermal characteristic model; Spindle of Machine tool;
The Phylogenetic Study of Escherichia coli Strains Isolated from Clinical Cases

Urinary tract infection (UTI) is one of the common infectious diseases. Escherichia coli is one of the most important cause of UTI. The purpose of this research was to determine the frequency of some phylogenetic genes in E. coli strains isolated from patients with UTI. E. coli strains were recovered from urine culture of suspect patients with UTI and biochemical and bacterial tests have been utilized to identify the isolated bacteria. Detection of phylogenetic genes were done through Multiplex PCR. Approximately 94%, 92%, 82% and 72% of E. coli strains contained ChuA1, YjaA , TspE4C and arp genes respectively. Results indicate that PCR based phylogenetic molecular method is a simple and quick method for typing of our uropathogenic E. coli.
The Relationship of Bottom for Early Reading Instruction

ARTICLE HISTORY Received: 10.02. 2019 Revised 27.02. 2019 Accepted 11.03. 2019 ABSTRACT This paper examines the relationship of bottom discusses reading as a learning tool that facilitates learning in other areas. It highlights on early reading which takes place during primary education. The paper discusse seen as a method that is based on the framework laid out in the bottom The application of phonics to classroom instruction was also discussed. The paper concludes that pho that teachers who use the method should monitor the progress of their students to know the ripe time to introduce other methods for effective reading instruction. It finally recommends t effective reading instruction.
Association between serum and follicular fluid vitamin D levels and pregnancy rate in women undergoing in vitro fertilization/intracytoplasmic sperm injection

Introduction: There are controversies about relationship between serum and follicle vitamin D levels and in vitro fertilization (IVF) outcomes. Objectives: The goal of this study was to determine association between serum and follicular vitamin D levels and IVF outcome in the Iranian population. Patients and Methods: This cohort study was conducted in a women’s hospital. One hundred and sixty patients (mean age = 28 years ) who were candidates (by simple sampling) for IVF enrolled in the study. Levels of 25 (OH)-D in follicular fluid and serum were measured. Biochemical pregnancy was determined by detecting serum β-hCG. A detectable gestational sac was considered as a characteristic of clinical pregnancy. Results: Biochemical pregnancy was detected in 49 (30.6) and clinical pregnancy in 39 (24.4). Mean vitamin D levels of serum and follicular fluid were not significantly different between cases that had clinical pregnancy or not. In cases with serum vitamin D level less than 30, mean follicular vitamin D level and body mass index (BMI) were significantly lower than the cases with serum vitamin D level more than 30. Mean serum vitamin D levels, biochemical and clinical pregnancy rates were significantly different in cases with follicular vitamin D level less or equal/more than 30. Logistic regression by considering biochemical pregnancy as dependent variable and other variables as independent variables showed that the only independent predictor was grade of embryo Conclusion: Follicular vitamin D level could affect pregnancy outcome in IVF cycles while serum vitamin D levels do not play any role in the IVF outcome.