Miracle-dz/UniFAR-FTUs huggingface dataset:
The in vitro Antioxidant Activity of n-Hexane Extract of Jatropha curcas L .

Oxidative stress is one of the well-recognized cause of many degenerative diseases. The antioxidant activities of many medicinal plants have been evaluated to obtain the alternative medicines for the prevention of oxidative damages. Jatropha curcas L. is a widely used plant. It has been used to treat many diseases. However, the antioxidant activity of its n-hexane extract has not been reported. Therefore, this study aimed to evaluate the in-vitro antioxidant activity of n-hexane extract of J. curcas L. leaf using DPPH free radical scavenging activity assay, reducing power activity assay and lipid peroxidation inhibition assay. The antioxidant activity of the extract was compared with trolox as reference standard. n-hexane extract of J. curcas L. leaf was found to be more capable in inhibiting lipid peroxidation process (IC50=56.629 μg/ml±2.145) than to scavenge DPPH· free radical (IC50=300.834 μg/ml±4.571). Data from reducing power activity assay indicated that this extract possessed higher reductive potential in inducing the Fe ! Fe transformation compared with control (P<0.05). In conclusion, the n-hexane extract of J. curcas L. leaf possessed antioxidant activity. Keywords—Jatropha curcas; antioxidant activity; n-hexane extract.
Cell-based Screening for Identification of Novel Vanadium Complexes with Multidirectional Activity Relative to Cells Associated with Metabolic Disorders

In this study, 110 newly synthesized vanadium complexes from different structural groups were screened in three cell-based models representing the main target tissues for anti-diabetic drugs. In glucose utilization in C2C12 myocyte experiments, 93% of vanadium complexes were shown to have equal or greater activity than bis(maltolato)oxovanadium(IV) (BMOV), the me thyl analog of bis(ethylmaltolato)oxovanadium(IV) (BEOV) which has been tested in clinical trials. Moreover, 49% and 50% of these complexes were shown to have equal or greater activity than BMOV in lipid accumulation in 3T3-L1 adipocytes and insulin secretion in RINm5F beta cell experiments, respectively. These results were the basis for the selection of compounds for the subsequent steps in the characterization of anti-diabetic properties. This study provides strong support for the application of screening cell-based assays with a phenotypic approach for the discovery of novel anti-diabetic drugs from the vanadium complex class. This is especially desirable due to the multiple and not fully defined mechanisms of action vanadium compounds.
Number : Title : Ferroelastic nature of high pressure phase transition in MgF

Using quantum theoretical simulations based on density functional and density functional perturbation theory we illuminate the nature of the phase transition occurring in magnesium fluoride (MgF2) at high pressure. At atmospheric pressure it is stable in the rutile structure. It was predicted by theory and later confirmed by experiments that a phonon soft mode driven phase transition transforms MgF2 to a CaCl2-type structure. The phase transition was connected with an optic phonon mode B1g. By simulating the behavior of phonons at and near the Γ point we prove that a lattice dynamical instability originates in an unstable acoustic phonon mode. The calculation of the elastic constants shows that the phase transition is a proper ferroelastic phase transition occurring under a homogenous deformation of the crystal lattice. These results further illustrate the behavior of fluoride materials under extreme conditions, such as pressure.
The Impacts of Fiscal , Monetary and Foreign Trade Policies on Economic Activity in Sudan ( 1990-2010 )

Fiscal and monetary policies are the macroeconomic tools that government have at their disposal to manage the economic situation. This study examined from an empirical point of view, the impact of fiscal and monetary policies on economic activity in Sudan. The importance of this study stems from the vital role that these policies could play in the economic performance. The growth rate in real GDP is used as the dependent variable in the empirical model, while the growth rate in government expenditure, money supply and trade openness are the explanatory variables, which represent fiscal policy, monetary policy and foreign trade, respectively. The analysis covered the period (1990-2010), where the data are obtained from official sources namely, the Central Bank of Sudan and the Central Bureau of Statistics. Using these data, Ordinary Least Squares (OLS) method is applied to a reduced form (single equation) of Louis type model. The results indicate that trade openness and fiscal policy show more potency and effectiveness than monetary policy on economic activity during the study period. The study recommends that the decision-makers should encourage foreign trade through the adoption of import substitution and export promotion strategies, which require diversification of production and markets as well as improving economic infrastructure, particularly roads, bridges, and energy. Furthermore, a rational fiscal policy that raises the rate of economic growth and reforms development projects should de adopted.
O PTIMAL COUNSELING AND THE UTILITY OF IMAGING PARAMETERS IN PATIENTS WITH IDIOPATHIC NORMAL PRESSURE HYDROCEPHALUS

OPTIMAL COUNSELING AND THE UTILITY OF IMAGING PARAMETERS IN PATIENTS WITH IDIOPATHIC NORMAL PRESSURE HYDROCEPHALUS Harry E. Subramanian, Charles C. Matouk, and Amit Mahajan. Departments of Neurosurgery and of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut. It is very difficult to counsel patients who are suspected to have idiopathic normal pressure hydrocephalus (iNPH) due to the variability in diagnostic criteria and clinical presentations, as well as the difficulty in evaluating prognosis. This two part study was conducted in order to identify ways to improve the counseling of patients with iNPH. A qualitative analysis of patient experience with iNPH and shunting was initially performed. This was followed by an imaging analysis to identify predictors of outcome after shunt surgery. A cohort of patients with iNPH who were shunted at a single institution were identified retrospectively and interviewed to explore patient experience. Interview transcripts were analyzed using the principles of grounded theory, which yielded seven overarching themes. From these themes, it was concluded that patients: suffer from a long preoperative course, desire improvement in functional independence, are not affected by the inability to provide a prognosis associated with shunt surgery, are confounded by comorbid conditions, and
Enhancing students’ insights in constructing report texts with Islamic values by scaffolding

This study aims at presenting the effect of scaffolding on EFL students’ writing ability in constructing a report text by integrating Islamic values through the writing process and class presentation s and capturing the students’ perception s after the teaching - learning instruction process wh en scaffolding was implemented in the EFL class. In this study, 26 students from the Islamic students major in an English IV class at the State Islamic Institute (IAIN) in Kendari , South-East Sulawesi, followed a writing process in portfolio and filled out a questionnaire. T he writing process approach consisted of prewriting, revising, editing and publishing by presentation a final draft of the report text. The learning strategies were adopted from cycles and stages of learning proposed by Hammond , et al . (1992). Using experimental design, the data was analyzed quantitatively. Pre-test s and post-test s were conducted for assessing the outcome s achieved by the students from what they had been taught. The students’ perception s were gained from analysis of a questionnaire using a Likert scale. Students were provided with writing guidelines and assessed on five aspects such as content, organization, vocabulary, language use and mechanic s . The result s showed that the students’ achievement s in the post-test compare d to the pre-test revealed significant improvement, meanwhile most of them ha d difficulties with the basic elements of writing, e.g. lack of structure, poor grammar and limited use of language. However, afterwards, these learners could more confidently express their ideas in their writing and report presentation s . Besides, the re was a positive improvement in the students’ attitudes and perception s toward s the teaching- learning process .
EVALUATION OF THE IMPACTS OF INGESTING TRMM DATA ON THE ACCURACY OF QUANTITATIVE PRECIPITATION ESTIMATES OBTAINED VIA THE SCaMPR FRAMEWORK

The Tropical Rainfall Measurement Mission (TRMM) satellite, since its launch in 1997, has been proven an invaluable source of precipitation information over the tropics where large areas are not covered by ground sensors. One potential beneficiary of the TRMM-based quantitative precipitation estimates (QPE) is the National Weather Service (NWS) hydrologic forecasting operation which covers areas where precipitation data from ground-based sensors are often scarce to nonexistent. However, the infrequent temporal sampling of the TRMM data has been an obstacle to its direct utilization in such operations where frequent updates of precipitation data are required. One way to address this limitation is to combine TRMM QPE with more frequent measurements from Geostationary Operational Environmental Satellites (GOES). The Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) framework (Kuligowski 2002), developed at the NOAA’s National Environmental Satellite, Data, and Information Service (NESDIS), serves this purpose. The original version of SCaMPR uses less frequent, but more accurate passive microwave (PM) precipitation estimates from the Defense Meteorological Satellite Program (DMSP) to calibrate the GOES infrared (IR) brightness temperature-to-rain rate relationship in real-time. This framework has been modified to allow ingesting TRMM data as an additional source of calibration data. In comparison to other existing multi-satellite QPE algorithms, such as the National Centers for Environmental Predictions (NCEP) Climate Prediction Center (CPC) Morphing (CMORPH; Joyce et al., 2004), and the TRMM Multi-satellite Precipitation Analysis (TMPA; Huffman et al. 2007), SCaMPR has the advantage of shorter latency, which is critical to NWS hydrologic predictions.
The Oleo-Gum-Resin of Commiphora myrrha Ameliorates Male Reproductive Dysfunctions in Streptozotocin-Induced Hyperglycemic Rats

Background: The oleo-gum-resin of Commiphora myrrha (myrrh) has a long history of therapeutic use in traditional medicine. The aim of this study was to seek for the scientific evidence to determine whether the ethanolic extract of myrrh (EEM) has any beneficial effects on Streptozotocin (STZ) induced testicular impairments, and explore the possible mechanisms underlying such actions. Methods: Forty-eight severe and complicated diabetic rats (fasting blood glucose above 350 mg/dL), randomly were divided into six equal groups (n=8). Besides, eight healthy rats allocated as a normal control group and only treated with vehicle solution. The diabetic animals orally received the extract (100, 200, 300, and 500 mg/kg), metformin (500 mg/kg) or vehicle solution for 28 days. As a final point, plasma glucose and insulin, circulatory sex hormones, sperm parameters including sperm concentration, motility and viability and also testicular malondialdehyde (MDA) levels were assessed. Furthermore, quantitative histological evaluation of seminiferous tubules area and determination of germinal cells apoptosis were performed. Results: None of the studied doses of EEM showed anti-diabetic effects. However, the extract mainly at the maximum dose (500 mg/kg) exhibited beneficial effects on reproductive impairments. The EEM treated rats mainly at 500 mg/kg had significantly higher sperm concentration, sperm motility, sperm viability, sex hormones and lower testicular MDA and germ cell apoptosis index than untreated diabetic rats. Conclusion: These results indicated that EEM may have beneficial effects against reproductive dysfunction induced by diabetes. The mechanisms behind the effects might be associated with the EEM sex hormone booster potential, antioxidant and anti-apoptotic properties.
TOXICITY OF LAMBDA CYHALOTHRINE ON ERYTHROGRAM , LIVER AND KIDNEY WITH MOLORATED BY VITAMINE C .

Lambda cyhalothrin is a new pyrethroid insecticide used all over the world to control the insect on wide rang in a variety of crops, and used as vector control (mosquito). The present study was designed to investigate the protective effect of vitamin C on the toxicological effects of lambda cyhalothrin-on erythrogram, liver and kidney enzyme activities and histopathological changes. In this study 80 male albino rats (western strain) were dividied in to 4 groups each group contain 20 rats. First group kept as control, second group was given vitamin C at dose 200ppm in drinking water daily for 2 month, third group was given 100 mg/kg/B.w lambada cyhalothrine 3 day per week for 2 month orally by using stomach tube while fourth group was given lambada cyhalothrine at dose l00mg/kg/Bw three time/week orally by stomach tube plus vitamin C 200ppm in distal ill water daily continuously for 2 month. The obtained results were significant decrease on erythrocyte, hemoglobin and pcv% in group of rats received lambada cyalothrine. While ALT, AST, AP, creatinine, urea and uric acid were significantly increased but the total protein, albumin and globuline were significantly decreased in rats received-lambada cyhalothrine in compared with other groups. This parameters were non-significant difference in control group and group received vitamin C but improved in the group rats received lambada cyhalothrine plus vitamin C.
Good practices in the prevention of ventilator-associated pneumonia

Escola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, SP, Brazil. Hospital São Paulo, Universidade Federal de São Paulo, SP, Brazil. Serviço de Controle de Infecção Hospitalar, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de São Paulo, SP, Brazil. Confl icts of interest: Fram D is an associate editor of the Acta Paulista de Enfermagem and did not participate in the evaluation process of the manuscript. Abstract Objective: To evaluate the compliance of health professionals with a set of good practices for the prevention of Ventilator-Associated Pneumonia, compliance index to individual measures and association of clinical characteristics of patients and compliance with the set of good practices with pneumonia. Methods: A prospective cohort study conducted at an Intensive Care Unit of a university hospital from May 2017 to October 2017. The sample consisted of patients hospitalized during the study period, who met the inclusion criteria. Data collection was performed through review of medical records. Results: The item with the highest compliance was the daily assessment of sedation and reduction 81 (91.0%) whenever possible, followed by circuit changes every 7 days, 76 (82.6%). The maintenance of cuff pressure between 20and 30-mm H2O was the item with the lowest compliance 22 (23.9%). Compliance with the complete set showed adherence in 20 (21.7%) of opportunities. This study showed that the greater compliance with good practice measures, the lower the risk of Ventilator-Associated Pneumonia, but it was not statistically signifi cant data. Surgical and mechanical ventilation patients had a higher risk of developing VAP (p=0.05). Conclusion: Ventilator-Associated Pneumonia can cause serious repercussions for patients. Thus, the application of measures with scientifi c basis is fundamental to prevent the occurrence of this event, which is one of the most frequent infections related to health care within Brazilian Intensive Care Units.
European Business Review Electronic Marketing Orientation in the SMEs Context

Electronic Marketing Orientation in the SMEs Context Abdel Monim Shaltoni, Douglas West, Ibrahim Alnawas, Tamather Shatnawi, Article information: To cite this document: Abdel Monim Shaltoni, Douglas West, Ibrahim Alnawas, Tamather Shatnawi, "Electronic Marketing Orientation in the SMEs Context", European Business Review, https://doi.org/10.1108/EBR-02-2017-0034 Permanent link to this document: https://doi.org/10.1108/EBR-02-2017-0034
Ja n 20 06 Contradictions of quantum scattering theory

The standard scattering theory (SST) in non relativistic quantum mechanics is analyzed. Contradictions of SST are revealed. Justification of SST in textbooks with the help of fundamental scattering theory (FST) is shown to be unconvincing. A theory of wave packets scattering on a fixed center is presented, and its similarity to plane wave scattering is demonstrated. The neutron scattering in a monatomic gas is investigated, and ambiguity of the cross section is found. The ways to resolve contradictions and ambiguity is suggested, and experiments to explore properties of wave packets are discussed.
A quasistatic mixed-mode delamination model 1

The quasistatic rate-independent evolution of a delamination in the so-called mixed mode, i.e. distinguishing opening (Mode I) from shearing (Mode II), devised in [45], is rigorously analysed as far as existence of the so-called energetic solutions concerns. The model formulated at small strains uses a delamination parameter of Frémond’s type combined with a concept of an interface plasticity, and is associative in the sense that the dissipative force driving the delamination has a potential which depends in a 1-homogeneous way only on rates of internal parameters. A sample numerical simulation documents that this model can really produce mixity-sensitive delamination. AMS Classification: 35K85; Secondary: 49S05, 74R20.
Rapid and Energy-Efficient Molecular Sensing Using Dual mm-Wave Combs in 65 nm CMOS : A 220-to-320 GHz Spectrometer with 5 . 2 mW Radiated Power and 14 . 6-to-19 . 5 dB Noise Figure

Millimeter-wave/terahertz rotational spectroscopy offers ultra-wide-detection range of gas molecules for chemical and biomedical sensing. Therefore, wideband, energy-efficient, and fast-scanning CMOS spectrometers are in demand. Spectrometers using narrow-pulse sources and electromagnetic scattering [1] are broadband, but their resolutions do not meet the requirement (<10kHz) of the absolute specificity. Alternatively, a scheme using a single tunable tone exhibits significant trade-off between bandwidth and performance. The 245GHz spectrometer in [2] presents 4mW radiated power, but only has a 14GHz bandwidth. In [3] and [4], broader bandwidths are achieved at the expense of degraded radiated power (0.1mW) and noise figure (NF=18.4 to ~23.5dB). In addition, given a typical 10kHz resolution and 1ms integration time, scanning a 100GHz bandwidth with a single tone takes as long as 3 hours. This paper reports a rapid, energy-efficient spectrometer architecture based on dual-frequency-comb scanning. A 220-to-320GHz CMOS spectrometer prototype based on this architecture is demonstrated with a total radiated power of 5.2mW and a NF of 14.6 to ~19.5dB.
A Novel Revenue Development and Forecasting Model using Machine Learning Approaches for Cosmetics Enterprises

In the contemporary information society, constructing an effective sales prediction model is challenging due to the sizeable amount of purchasing information obtained from diverse consumer preferences. Many empirical cases shown in the existing literature argue that the traditional forecasting methods, such as the index of smoothness, moving average, and time series, have lost their dominance of prediction accuracy when they are compared with modern forecasting approaches such as neural network (NN) and support vector machine (SVM) models. To verify these findings, this paper utilizes the Taiwanese cosmetic sales data to examine three forecasting models: i) the back propagation neural network (BPNN), ii) least-square support vector machine (LSSVM), and iii) auto regressive model (AR). The result concludes that the LS-SVM has the smallest mean absolute percent error (MAPE) and largest Pearson correlation coefficient ( 2 R ) between model and predicted values. Keyword Machine Learning, Back Propagation Neural Network, Least Square Support Vector Machine, Autoregressive Model, Model Performances Comparing.
What they don ' t know can hurt you :

This paper is about the follow-on development of novel technologies and the creation of commercial value in the presence of asymmetric information in the market for technologies. A novel dataset tracing the trajectories of novel technologies in the biotechnology industry allows: 1) to track the involvement of di erent organizational types (large-incumbent and small-entrant rms, and universities) along the stages of generation, follow-on development and commercialization of novel technologies; and 2) to challenge established knowledge about how vertical specialization in the innovation process works. I sketch a signaling model that relates to the informational structure of the market for technologies rms' decision to re ne/develop internally the novel ideas they generate. I present the characteristics of the possible equilibriums and their implications for technological trajectories and technical change. ∗Email: manuel.gigena@kuleuven.be
USE OF PSYCHODIAGNOSTICS IN HIRING – COMPARISON ON STUDENTS FROM PRAGUE UNIVERSITIES

This paper presents results of comparing technical university students with students studying tourism from the perspective of their personal diagnostics. We used the Big Five personality traits and Grit-S scale as these are fast and reliable tools that can reveal, among others, whether job applicants have the personality profile required for the job. In the case of tourism, the applicants should be extraverted, agreeable and with a low level of neuroticism. The study showed that the personality of tourism students is on average within the population norm, but they differ significantly from technical students in certain personality factors. Tourism students manifest significantly higher conscientiousness and agreeableness than technical students. It can be presumed that students with greatest perseverance and conscientiousness are those studying tourism, then students studying management at technical schools, whereas rather technically and science-oriented VSCHT students had the lowest score.
Photoshop 2 . 0 : Generative Adversarial Networks for Photo Editing

In this paper we explore how to use Generative Adversarial Neural Networks (GANs) to generate realistic face images that posses certain desirable facial characteristics. Moreover, we develop a procedure to take a real image and generate a similar image with specific facial characteristics adjusted by manipulating the vectors in the latent space. We mainly focus on experimenting with encoder networks for the generator and how the latent space of an image affects the generated result. By manipulating this vector space we are able to edit photos to add attributes. For instance, we are able to take a batch of non-smiling face pictures and add a smile to them on the generated output images.