Miracle-dz/UniFAR-FTUs huggingface dataset:
On the novel coronavirus (COVID-19): a global pandemic

Coronaviruses (COVS) are viruses transmitted through droplets of sputum from an infected person Analyses identify COVS as zoonotic pathogens, possibly resulting from human-animal contact at animal markets They share overlapping genetic characteristics with the avian influenza viruses from China COVS released from humans through droplets of sputum and may land on various surfaces, which poses exposure risks;as studies have shown the virus can exist intact for a relatively long period of time (several days) The recent highly pathogenic COVS outbreak (COVID-19) emerged in Wuhan, China in 2019, include Severe Acute Respiratory Syndrome (SARS-COVS) This highly transmittable disease causes pneumonia and severe respiratory illnesses similar to SARS and MERS;it has a global mortality rate of about 6 13% The virus has rapidly become a global pandemic, causing major global issues, including health, economic, and age-preference, among other issues This text summarizes the nature of the emerging COVID-19 global pandemic while analyzing several factors concerning the etiology of the virus This is done in an urgent effort to educate and provide relevant information about the virus
Factors influencing consumers’ adoption of and resistance to functional food product innovations : an impirical investigation into adoption and resistance to functional food product innovations among German customers, to provide new opportunities in health claims regulated markets

Foods with added health benefits, known as functional foods, are trending with consumers and provide potential for innovation and differentiation for suppliers. However, their unique selling proposition cannot be communicated properly to the consumers, due to the European health claims regulation. There are significant market-related and regulatory boundaries, making it hard to launch and establish these products, especially on the German market. This study aims to provide knowledge and new opportunities to this matter, by examining several factors, in addition to health benefits, which influence adoption or resistance of new product innovations in the field of functional food among German consumers. To this end, findings in adoption and resistance literature, as well as in functional food acceptance, are aggregated to propose factors, as well as to propose a conceptual model integrating the research streams into a single framework. A review of related literature reveals the relevance of innovation characteristics and adoption barriers in the context of functional food innovations. This study accounts for innovation adoption being a process, distinguishing by the two separate dependent variables adoption intention and adoption behavior. To be able to test the relationship with multiple linear regression, primary data was collected by means of an online-survey given to consumers on the German market (N = 316). Next to the testing of factors in a general manner, a case experiment is included, using a particular functional food product invention, to complement the findings. 183 participants stated the intention to adopt this presented product, of which 67 bought it directly through the survey, thereby showing adoption behavior. Drawing from the results of this study, it can be said that there is a positive influence on the innovation adoption of a new functional product if it is perceived as having a relative advantage due to health benefits, as well as being triable before purchase and compatible with the consumers' personal values. On the other hand, a perceived unfavorable price-to-value relation, bad taste, and distrust towards the claims made by the suppliers, might impede the decision to adopt the innovation. A barrier resulting from habit change and physical risk has been shown not to be a significant predictor of the behavior and intention to adopt. The results suggest that even in health claims regulated markets, there might be a good chance for suppliers to successfully realize adoption of their new product innovation, by focusing efforts on these influential factors, next to health benefits. Most notable for research in the field might be the importance of trialability for the consumers, as well as the fact that the extent of the effects differs for almost all factors amongst the two stages of innovation adoption.
Exploring Deep and Referential Cohesion and its Effects on Adolescent Readers’ Comprehension Processing

Texts vary. Thus, accordingly, do different texts encourage certain types of online comprehension processing? This presentation illuminates how science texts with varying levels of cohesion may contribute to the online comprehension processing of seventh grade readers during a think-aloud task. Our analyses illustrate how students’ inference generation differed in science texts with varying degrees of deep and referential cohesion. Implications are drawn about the effects of text cohesion for online inference generation in adolescents.
Digital Breast Tomosynthesis as a Breast Cancer Screening Tool for Women with Gynecologic Cancer.

Purpose The purpose of our study was to evaluate digital breast tomosynthesis as a breast cancer screening modality for women with gynecologic cancer. Materials and Methods This retrospective study included patients with underlying gynecologic malignancies who underwent screening digital breast tomosynthesis for breast cancer. The cancer detection rate, recall rate, sensitivity, specificity, and positive predictive value (PPV) were calculated. PPV1 was defined as the percentage of all positive screening exams that have a tissue diagnosis of cancer within a year. PPV2 was defined as the percentage of all diagnostic exams (and Breast Imaging Reporting and Data System category 4, 5 from screening setting) with a recommendation for tissue diagnosis that have cancer within a year. PPV3 was defined as the percentage of all known biopsies actually performed that resulted in a tissue diagnosis of cancer within the year. For each case of screen-detected cancer, we analyzed the age, type of underlying gynecologic malignancy, breast density, imaging features, final Breast Imaging Reporting and Data System assessment, histologic type, T and N stages, molecular subtype, and Ki-67 index. Results Among 508 patients, 7 with breast cancer were identified after a positive result. The cancer detection rate was 13.8 per 1000 screening exams, and the recall rate was 17.9%. The sensitivity was 100%, and the specificity was 83.2%. The false negative rate was 0 per 1000 exams. The PPV1, PPV2, and PPV3 were 7.7, 31.8, and 31.8, respectively. Conclusion Digital breast tomosynthesis may be a promising breast cancer screening modality for women with gynecologic cancer, based on the high cancer detection rate, high sensitivity, high PPV, and high detection rate of early-stage cancer observed in our study.
Exploring the gaits for debris removal and excavation with Klann-legged robots

IJSER © 2019 http://www.ijser. org Abstract— Constant effort is being dedicated in building robots that can supplant laborious work performed by humans with automated mechanisms. In this regard a large number of researches have been dedicated to emulate gaits of legged animals. Debris removal and excavation are activities of human interest that can be achieved with gaits of animals. The Klannmechanism based legged robots can act not only as robots that can access difficult terrains but also as robots that can remove debris and act for excavation purposes. In this work we have explored the various trajectories of the end-effector of the Klann mechanism that can be suitable for this purpose. The trajectory curve of the end-effector of Klann-mechanism has been generated by solving trigonometric equations that can produce a continuous curve as a function of the input angle φ. By varying the length of the links , perspicuity has been gained in achieving trajectory suitable for this purpose. Fruitful gaits pertaining to this purpose has been identified. With reconfigurable links, all these trajectories can be achieved by a single set of legs. The trend of the impact force with the angular velocity has also been identified. The study of the impact force for this purpose is crucial as it entails the removal of heavy and tough objects and the choice of materials for the links and end effector can accordingly be made. This study validates the possibility of achieving walking robots with reconfigurable links that can double-up as debris remover and excavator.
Prediction of Robot Technology Using Multi-phase Model

Technology changes with the times. It is difficult to predict, as technology develops under the influence of several factors. We analyze the technology by carrying out the patent from a time series perspective. The study consists of two phases. In the first phase, time series models detect the trend, cycle, and seasonality of the technology. Next phase performs to predict the importance of term. In order to confirm the practical applicability of the proposed method, 2,268 industrial robot patents were collected and tested. As a result, it was found that technologies beyond the dual control based on carbon materials among industrial robots will continue to develop.
ASARONE-DERIVED PHENYLPROPANOIDS AND ISOQUINOLINE-DERIVED ALKALOIDS FROM THE BARK OF Duguetia pycnastera (Annonaceae) AND THEIR CYTOTOXICITIES

César A. S. de Souzaa, Victória B. Nardellia, Weider H. P. Paza, Maria Lúcia B. Pinheiroa, Ana Carolina B. da C. Rodriguesb, Larissa M. Bomfimb, Milena B. P. Soaresb, Daniel P. Bezerrab, , Jamal da S. Chaara, Hector H. F. Koolenc, , Felipe M. A. da Silvad, and Emmanoel Vilaça Costaa,*, Departamento de Química, Instituto de Ciências Exatas, Universidade Federal do Amazonas, 69080-900 Manaus – AM, Brasil Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, 40296-710 Salvador – BA, Brasil Escola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, 69065-001 Manaus – AM, Brasil Central Analítica, Centro de Apoio Multidisciplinar, Universidade Federal do Amazonas, 69080-900 Manaus – AM, Brasil
Molecular Detection of Plasmid-Mediated Quinolone Resistance in Ciprofloxacin-Resistant Escherichia coli from Urine of Patients attending Garki Hospital, Abuja, Nigeria

Urinary tract infections (UTIs) caused by Escherichia coli (E. coli) is common worldwide; and its successful treatment using antibiotics is limited by acquisition of resistance by the bacteria. This study investigated the occurrence of plasmid-mediated quinolone resistance (PMQR) genes in ciprofloxacin-resistant E. coli from urine of patients with suspected cases of UTIs attending Garki Hospital Abuja (GHA), Nigeria. A total of 8 confirmed ciprofloxacin-resistant E. coli was screened for carriage of PMQR genes using polymerase chain reaction (PCR) method. The occurrences of the PMQR genes detected were in the order: aac-(6′)-Ib-cr (87.5%) > qnrB (50.0%) > qnrS (37.5%) > oqxAB (12.5%) > qnrA(0.0%). qnrB and qnrS did not exist alone, but in combination with other genes; aac-(6′)-Ib-crexisted both alone and in combination with others; the most prevalent patterns of existence were aac-(6′)-Ib-cr alone and aac-(6′)-Ib-cr + qnrB + qnrS at 25.0% each. This study has shown that the ciprofloxacin-resistant E. coli harbored aac-(6′)-Ib-cr, qnrB, qnrS and oqxAB PMQR genes, with aac-(6′)-Ib-cr being the most prevalent. The genes were present either alone or in combination with one another. This has implication for the clinical application of fluoroquinolones to treat UTI in the study location and environs.
Design of Notched Rounded Bowtie Antenna for Ultra-Wideband Communication Systems

In this paper, a modified bowtie antenna structure is proposed for Ultra-Wideband communication systems. This antenna is obtained by rounding and notching the edges of antenna arms. Antenna parameters for the designed structure are examined according to the restrictions specified by Federal Communications Commission. Thus, Return Loss (S11), Voltage Standing Wave Ratio (VSWR), gain, radiation pattern and impedance are observed in the 3.1 GHz 10.6 GHz frequency range. Additionally, the effect of arm length and dielectric material on antenna performance are interpreted in the same range. According to obtained results, the proposed structure satisfies the bandwidth requirements for UltraWideband systems. Gain and impedance variations are also in acceptable limits for Ultra-Wideband applications. The proposed antenna is analyzed through CST Microwave Studio program.
In vitro Biological Activities of Anthocyanin Crude Extracts from Black Soybean

This study was carried out to investigate the antioxidative and anti-inflammatory activity of crude anthocyanin compounds extracted from black soybean. The crude anthocyanin compounds were extracted with 80% methanol and concentrated to powder. The most abundant compound isolated from the extract was C3G(cyanidin-3-glucoside). The superoxide dismutase (SOD) assay was conducted to assess the antioxidative activity of the crude extract. SOD, which catalyzes the dismutation of the superoxide anion into hydrogen peroxide and molecular oxygen, is one of the most important antioxidative enzymes. The black soybean anthocyanin extracts inhibited more than 90% of the superoxide radical at a concentration of 0.1% and 100% at a concentration of 0.5%, indicating that this extract displayed excellent antioxidative activity. To assess the anti-inflammatory activity of the extract, a NO(Nitric oxide) production assay in RAW 264.7 cells was performed. NO is an important physiological messenger and effector molecule in many biological systems, including immunological, neuronal and cardiovascular tissues. In this assay, the anthocyanin extracts showed a high anti-inflammatory potential, where the inhibitory potency for NO production was similar to the positive control, particularly for EGCG(epigallocatechin-3-gallate), which is known to have excellent anti-inflammatory activity. Thus, it can be concluded that the anthocyanin extracts from black soybean have distinctive pharmaceutical activities and may be used as an excellent source materials to supplement the health benefits of various food products.
Evaluation of Different Modalities in Prevention of Seroma Formation Post Modified Radical Mastectomy

Background: Seroma is an abnormal collection of serous fluid in the dead space of post-mastectomy skin flaps and axilla or following breast-conserving surgery. Seroma is one of the most common early post-operative complications following surgery for breast cancer. Various studies report an incidence ranging from 10% to 85% following modified radical mastectomy (MRM) or axillary lymph node dissection (ALND). Objective: Evaluation of different modalities in the prevention of seroma formation post modified radical mastectomy. Patients and methods: This was a prospective comparative study carried out in the General Surgery Department, Faculty of Medicine, Aswan University, Aswan, Egypt. in the period between December 2017 and June 2018. Patients scheduled for modified radical mastectomy during the period of study were randomly divided into three groups, mastectomy flap fixation group (10 cases), ipsilateral shoulder immobilization group (10 cases) & (pre & post) operative tranexamic acid usage group (10 cases). Results: Hypertension, obesity, blood transfusion, and bloody field are at high risk of developing seroma after MRM; while DM, cancer stage, number of LN infiltrated and removed don’t affect on seroma formation after MRM. Flap fixation was found to be the best modality in the prevention of seroma formation with a low incidence in developed seroma and other complications. On the other hand, tranexamic acid usage pre- and post-operative found that no role in the prevention of seroma formation after MRM. Conclusion: The mastectomy flap fixation technique is a valuable procedure that significantly decreases the incidence of seroma formation, and reduces the duration and amount of drained fluid.
Effect of natural xanthophylls on growth performance and body pigmentation of yellow catfish (Pelteobagrus fulvidraco)

A 90 d experiment was conducted to investigate the effects of dietary natural lutein levels on growth,and body pigmentation of Pelteobagrus fulvidraco.Five experimental diets were designed with 0%,0.15%,0.3%,0.6% and 8% of test compound and the highest dose was ten times more than possible dose.Five extruded pellets were determined xanthophylls dosage as non detected,24.2,54.2,118 and 1700 mg/kg,respectively,which were named C,L24.2,L54.2,L118 and L1700 accordingly.Each treatment was randomly assigned four replicates with 30 fish in each tank.We found pigment inclusion did significantly enhance growth performance and feed efficiency of P.fulvidraco. Productive protein value of L24.2 group,energy productive values of L54.2,L118,L1700 groups were significantly higher than those of control group(P0.05). Yellowness(b*) and saturation(c*) of lateral and ventral skin obviously increased until they reached saturation in L118,which showed no difference with L1700 group(P0.05). Pigmentation of skin in L118 and L1700 deposited excessively and transferred into muscle.Bioaccumulation factor of skin pigment increased firstly and then decreased,the highest in fish fed 76.25 mg/kg diet.The results showed 24.2-1700 mg/kg pigment inclusion significantly improved growth performance of P.fulvidraco. The optimum concentration of pigment as a colorant in yellow catfish was 76.25 mg/kg feed.
OBSERVATIONS OF PEN-REARED EUROPEAN HOGS RELEASED FOR STOCKING'

In May, 1962, 26 pen-reared European hogs (Sus scrofa) were released near Crossville, Ten- nessee, in an attempt to establish another huntable population. Their behavior created public relations problems. They frequently left the boundary of the wildlife area and Tennessee Game and Fish Com- mission personnel returned them 22 times. A cruising radius of 1.5 to 2 miles may be typical for young European hogs. The stocking failed to establish a new population, apparently because the released ani- mals were too tame.
Effects of Gabaron Tea Components on AngiotensionI-Converting Enzyme Activity in Rat

To show the functional mechanism of Gabaron tea, effects of GABA and some other tea components on the activity of angiotensionⅠ-converting enzyme (ACE) in the spontaneously hypertensive rats (SHR) were investigated in vitro and in vivo. In vitro experimental results showed that GABA, Alanine, Theanine, and γ-hydroxybutyric acid exerted remarkable inhibition on ACE activity, among which GABA showed the highest inhibition; ACE activity was decreased to 50% with 1 mmol GABA and completely inhibited with 30 mmol GABA. In vivo experimental results also showed that the rise of ACE activity in the SHR due to high salt diet was significantly inhibited by addition of 3% GABA. It is suggested that ACE activity inhibition by GABA is one of the main mechanisms of Gabaron tea.
SUPRA CONDYLAR FEMORAL EXTENSION OSTEOTOMY WITH PATELLAR TENDON ADVANCEMENT TO TREAT FIXED KNEE FLEXION DEFORMITY IN CROUCHING AMBULATORY ADOLESCENTS WITH CEREBRAL PALSY

Background: Ambulatory cerebral palsy (CP) patients present with different gait patterns because of muscular spasticity and contractures and subsequent limited range of motion leading to loss of their functional abilities. Crouch gait is one of the most common gait pattern in ambulatory children with CP. Aim of the work: The purpose of this study is to evaluate the results of supra condylar femoral extension osteotomy (SCFEO) and patellar tendon advancement (PTA) in the treatment of fixed knee flexion deformity (FKFD) in patients with spastic ambulatory cerebral palsy (CP) to achieve full knee extension and restore an appropriate relationship between quadriceps length and tension in order to maintain knee extension during the stance phase of gait to correct the crouch gait. Patient and Methods: This prospective case series study was done on 20 patients (37 knees); 12 males and 8 females, who had spastic or mixed (mainly spastic) CP and walked with a crouch gait, and who underwent combined SCFEO and PTA along with the context of single event multi-level surgery. Results: The mean Fixed Knee Flexion Angle (FKFA) improved from 24.25o ±11.86o to be 2.25o± 2.25o. The mean knee extension lag improved from 15.8o±5.68o to be 4.2o±1.31o. The mean Gross Motor Function Measurement (GMFM) improved from 53.3 to be 69.1. The mean Koshino Index (KI) improved from 1.54±0.29 to be 1.14±0.12. Conclusion: For crouching adolescents there are 4 questions must be answered: Frist, differentiate between isolated myogenic flexion deformity and combined myogenic-arthrogenic knee flexion deformity. Second, assess isolated myogenic flexion deformity due to hamstring shortening by unilateral popliteal angle test. Third, differentiate between apparent and true hamstring shortening by popliteal shift test; apparent functional hamstring shortening and hamstring lengthening is not indicated. Forth, if the unilateral popliteal angle is positive with negative popliteal shift test, true hamstring shortening is found.
BEST ACCURACY PREDICTION TO NETWORK ATTACKS USING SUPERVISED MACHINE LEARNING ALGORITHM

---To create data for the Intrusion Detection System (IDS), it is necessary to set the real working environment to explore all the possibilities of attacks. The existing system is expensive because of its hardware implementation. Software to detect network intrusion protects a computer network from unauthorized users. The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between “intrusions” or “attacks”, and “normal” connections. To prevent this problem in network, sectors have to predict whether the connection is attacked or not from KDDCup99 (Knowledge Discovery and Data mining) dataset using machine learning techniques. The aim is to investigate machine learning based techniques for better network connection by finding accuracy prediction results. Machine learning based method is proposed to accurately predict the DOS (Denial of Service) attack, R2L (Remote to User), U2R (User to Root), Probe and overall attacks when compared with the existing supervised classification machine learning algorithms. This accuracy predictor shows that the effectiveness of the proposed machine learning algorithm technique with the existing algorithms are compared for best accuracy by various parameters precision, Recall and F1 Score.
AI-based Distribution & Smart Contract for OEMs using Reinforcement Learning and Hyperledger Fabric

: OEM (original equipment manufacturers) Supply Chain Management always require a mechanism to ensure trust via contract methods and intelligent allocation of delivery load & logistics to save cost. Smart Contracts on Blockchain technologies is one of the best suited mechanisms to ensure trust in contracts. These contracts are immutable and transparent to related participants. There are multiple optimization methods being used in the industry to address demand allocation problems but as the size of the problem grows most of the methods become inefficient in performance and practicality. We formulate MDP (Markov Decision Process) to model this situation . Problem of dimensions increasing due to state and action increment as the horizon increases has been described as “Curse of Dimensionality” by Bellman who addressed the problem with condition of optimality. Policy Iteration algorithm is a known methodology in reinforcement learning that addresses the problem of decision making by formulating a deterministic in cost or reward and probabilistic in state transition model that solves a stochastic optimization. Implementation described in this paper has been achieved on Google Cloud Platform using Hyperledger Fabric, Node-Red and R Server. The text describes the stack architecture, flow and algorithm and also focuses upon cost viability of the solution.