Miracle-dz/UniFAR-FTUs huggingface dataset:
Gallic acid ameliorates hypertension, insulin resistance and dyslipidemia in high-fructose diet-induced metabolic syndrome rats Gallic acid ameliorates hypertension, insulin resistance and dyslipidemia in high-fructose diet-induced metabolic syndrome rats

Gallic acid is a naturally abundant plant phenolic compound found in vegetables and fruits. It has been shown to have potent antioxidant, antihyperglycemic and antidyslipidemic activities. The present study aims to evaluate the effects of gallic acid on blood pressure, insulin resistance, and dyslipidemia in rats with metabolic syndrome induced by high-fructose diet (HFD). Methods: Male Sprague-Dawley rats were randomly assigned into 4 groups: normal control group, metabolic syndrome treated with vehicle group, metabolic syndrome treated with gallic acid 20 mg/kg/day group, and metabolic syndrome treated with metformin 100 mg/kg/day group. Rats were fed with HFD for 18 weeks to induce metabolic syndrome. Oral administration of gallic acid, metformin, or vehicle was performed in the last 4 weeks. Blood pressure, oral glucose tolerance test (OGTT), serum insulin level, the homeostasis model assessment of insulin resistance (HOMA-IR) score, and lipid profiles were evaluated. Results: Treatment with gallic acid or metformin significantly reduced blood pressure, serum insulin concentration and HOMA-IR score as well as improved glucose tolerance in HFD-induced metabolic syndrome rats ( p < 0.05). In addition, gallic acid or metformin markedly normalized plasma total cholesterol and triglyceride levels ( p < 0.05). Conclusion: These findings indicate that gallic acid attenuated signs of metabolic syndrome induced by HFD in rats. It could be suggested that gallic acid supplementation is a beneficial complementary agent for metabolic syndrome treatment.
Liquidity Trap in Developing Economy: The Case of CEMAC

In the countries in transition, and more specifically those in the Cemac zone, the economies seem to present symptoms of a liquidity trap in recent years, as evidenced by sluggish economic growth, high unemployment and low demand. On the basis of hypotheses derived from a theoretical model, an empirical estimate was used. The results of the model indicate that this phenomenon exists in the Cemac area and that monetary policy is ineffective, and therefore its treatment can only be envisaged through innovative fiscal stabi-lisation and recovery policies aimed at boosting the private sector, on the one hand, and promote a participatory public policy materialized by the implementation of a decentralization of economic power to actors of civil society, the sector and local elected officials. Such a reform would aim to improve the effectiveness of public policies in a context of uncertainty and poverty.
A search for molecular outflows associated with peculiar nebulosities and regions of star formation

On a observe une serie etendue de nebulosites particulieres et de region de formation stellaire, a la recherche d'une emission CO a grande vitesse. On a detecte un ecoulement apparemment isotrope associe a la region de formation stellaire GL 2591. La nebuleuse cometaire GM 24 presente de l'interet car elle se trouve dans une region moleculaire tres chaude ou la formation d'etoiles massives s'est produite recemment
The BrGI Circadian Clock Gene Is Involved in the Regulation of Glucosinolates in Chinese Cabbage

: Circadian clocks integrate environmental cues with endogenous signals to coordinate physiological outputs. Clock genes in plants are involved in many physiological and developmental processes, such as photosynthesis, stomata opening, stem elongation, light signaling, and floral induction. Many Brassicaceae family plants, including Chinese cabbage ( Brassica rapa ssp. pekinensis ), produce a unique glucosinolate (GSL) secondary metabolite, which enhances plant protection, facilitates the design of functional foods, and has potential medical applications (e.g., as antidiabetic and anticancer agents). The levels of GSLs change diurnally, suggesting a connection to the circadian clock system. We investigated whether circadian clock genes affect the biosynthesis of GSLs in Brassica rapa using RNAi-mediated suppressed transgenic Brassica rapa GIGENTEA homolog ( BrGI knockdown; hereafter GK1) Chinese cabbage. GIGANTEA plays an important role in the plant circadian clock system and is related to various developmental and metabolic processes. Using a validated GK1 transgenic line, we performed RNA sequencing and high-performance liquid chromatography analyses. The transcript levels of many GSL pathway genes were signiﬁcantly altered in GK1 transgenic plants. In addition, GSL contents were substantially reduced in GK1 transgenic plants. We report that the BrGI circadian clock gene is required for the biosynthesis of GSLs in Chinese cabbage plants. RNA-seq and RT-qPCR results. The BrGI circadian clock gene is involved in the regulation of GSL metabolism in Chinese cabbage and promotes the biosynthesis of GSL compounds. Modulation of BrGI might be a novel strategy to control the endogenous levels of GSLs in Chinese cabbage plants.
Down the Rabbit Hole: Five Hedonic and Pragmatic Facets of Audience Engagement in Playable Stories

— This paper presents an exploratory study that relates hedonic and pragmatic aspects of audience engagement to playable stories on different interactive media. Eighteen participants discussed their individual experiences with three different interactive adaptations of Lewis Carrol’s Alice in Wonderland . The paper illustrates the initial findings of how fun, attraction, excitement, satisfaction, and frustration , as facets of audience engagement, are shaped by different attributes that are related to the affordances of each medium.
Recognition of human actions based on deep convolutional neural networks using postures and depth maps

In this survey paper, we have gathered information about various existing technologies in the area of Human Action Recognition Using Convolutional Neural Network with Human Postures and Depth Maps. Amongst all the available technologies we have focused on a method where we use MJD (moving joints descriptor) and DMI (depth motion image) for action recognition. Profundity movement pictures depict the overall action appearance by gathering all profundity guides of the action throughout an opportunity to make a uniform depiction that can portray every action with its own specific appearance from the front view. It gets the changing inside and out of the moving body parts. The DMI depiction give unquestionable features to every movement which encourages the component extraction task for the CNN model. Profundity movement pictures depict the overall action appearance by gathering all profundity guides of the action throughout an opportunity to make a uniform depiction that can describe every action with its own specific appearance from the front view. It gets the changing top to bottom of the moving body parts. The DMI depiction give unquestionable features to every action which encourages the element extraction task for the CNN model.
Image registration based on Modiﬁed Complement Weighted Sum of Minimal Distance

—We propose a novel distance measure called Modiﬁed Complement Weighted Sum of Minimal Distance (MCWSMD) for image registration. We have conducted experiments by adding different types of noise on the grayscale images, medical images and on the face dataset. We further evaluated performance on synthetic images and then compared the results with other existing methods and found that MCWSMD outperforms the other distance based methods.
Reweighting of Binaural Localization Cues Induced by Discrimination Training

Normal-hearing listeners weight binaural localization cues depending on the sound’s frequency content. Interaural time differences (ITDs) dominate at low frequencies and interaural level difference (ILDs) dominate at high frequencies. The contribution of each cue to an azimuthal localization percept also depends on environmental factors such as room acoustics. Furthermore, ITD/ILD weighting was shown to change for stable sound conditions through a lateralization training in virtual reality (VR) using visual feedback. This study aims to induce similar reweighting using a simple left/right discrimination task without VR. Participants were divided into two groups, a group trained to increase their ILD weighting and a no-training control group. Both groups completed an identical pre and post assessment involving a relative discrimination task without feedback, using various combinations of spatially inconsistent ITD and ILD. The training group additionally completed three sessions of an adaptive relative discrimination training including feedback (correct/incorrect) always consistent with the ILD azimuth. After each incorrect response, the auditory stimulus was repeated with the cor-rect response shown on screen. Responses followed the ILD azimuth significantly more often in the posttest than in the pretest for the training group but not for the control group, suggesting that binaural cue reweighting can be achieved by a simple discrimination task.
How situational awareness can be improved by using real-time video? Case: simulated natural disaster at the Viksu 2014 camp

— Public safety authorities all over the world have recognized that the lack of interoperability of information and communication technology (ICT) systems limits the effectiveness of rescue operations. Whether natural or man-made, catastrophes can happen at any time, and with no warning. This creates major problems for public safety agencies set up by governments to provide for public protection and disaster relief (PPDR). The ability of these agencies to cope with unexpected disasters and emergencies of any scale is dependent upon the infrastructure and support that they have in place for their day-to-day operations. Need of overall situational awareness has increased during the past decades. Research data of this case study consists of a literature review, interviews, on-field observations and discussions during an exercise, where a technology providing live video was tested during simulated natural disaster at the Viksu 2014 Young Firefighters Camp. The results of the study indicate that watching real-time video ties persons down and they cannot participate in operational action at the same time. Different departments has their own situation centers, which means that the same real-time picture has to be available for every organization involved. The amount of situation centers affects the distribution of resources, organizing and forming of the situational awareness. A command center requires more than one person to manage situational information flow. Responders are usually carrying their own smartphones on the field. Used solutions enable PPDR officials and partners install and deploy applications easily. Applications might allow first responders to use their own smartphones for emergency communications in situations where communication with primary network becomes difficult. Decision-makers must establish priorities for response in large-scale disaster when the total demand for rescue services is greater than the PPDR organization´s capacity to respond. Distributed real-time video improves decision support systems by allowing command center to allocate resources in the right proportion. operational cooperation aims practical co-operation and mutual interaction between public safety actors, which will improve the situational awareness [3]. In this study, situational awareness was studied by evaluating new technologies during a simulated natural
PUBLIC INFRASTRUCTURE INVESTMENT AND TAXATION: THE CASE OF TRANSPORT POLICY IN THE EUROPEAN UNION

Public infrastructure investment includes the building of roads, ports, schools, hospitals, etc. It has been recognized important for economic growth, but the aspects related to the impacts of public infrastructure investment coupled with taxation on macroeconomic indicators and cost redistribution over time have been neglected in literature. This paper aims to discuss them analyzing as case study the public investment for transport infrastructure in the EU. A computable general equilibrium (CGE) model, called GTAP-CTI, has been applied to include the predicted variations in the public investment expenditure. Two sets of scenarios have been simulated. The first set compares the application of consumption and income taxation to face the increase of the public investment expenditure. The second set of scenarios compares the application of taxation in 2010 and 2050 facing the question of redistribution over time of the public investment expenditure. The framework employed in the paper is highly specialized and the results may not hold generally, but they mark two policy recommendations. Firstly, the choice of the tax instrument matters to avoid the crowding out effect on private expenditure. Secondly, consumption taxation is better than income taxation. At international level, there are gains in terms of trade, but global welfare decreases.
DevOps: IT Development in the Era of Digitalization

The purpose of the thesis is to provide a clear understanding of how DevOps works in an organization to researchers and software practitioners. The objectives of the study are to provide a detailed definition of DevOps concept, to identify the benefits of implementing DevOps in organizations where agile development is in practice, the challenges faced by organizations during DevOps adoption and to identify the DevOps practices corresponding to each main pillar termed as CAMS. A Systematic Literature Review is conducted as a method to identify the practices of DevOps adoption and leading to the conclusion. The final list of practices can aid researchers and software practitioners in obtaining a better understanding regarding the functioning and adoption of DevOps. Also, it has been observed that there is a need for more empirical research in this domain and some future research ideas are proposed.
MANAGEMENT OF STUNTING TO IMPROVED CHILDREN NUTRITIONAL STATUS AND COGNITIVE

Stunting defined as growth failure in childen under the age 5 years caused by chronic malnutrition thus children have low height-for-age. Stunting has a negative impact on the children later life, like disruption of brain development, cognitive development, growth faltering, and low immune system. Management stunting to improved nutritional status and cognitive is needed to reduce the negative impact of stunting on children. This review aims to identified management of stunting that might be possible improved children nutritional status and cognitive. Literature searching on 2 databases, Pubmed and Sciencedirect. Articles were systematically selected consistent to the topic of management stunting. Steps on writing the review were carried out in accordance with the PRISMA guidelines. 1012 articles identified from 2 databases, 15 articles that met inclusion criteria were included. Adding zinc to vitamin A, afford multiple micronutrient, and provide health education to mother increased children height and height-for-age. Provide omega-3 less effective to improved children cognitive. Management of stunting is important to prevent the negative impact of stunting to children, needs contributions from various related parties to overcome the problem of stunting. Provide health education and responsive stimulation to mother gradually can be the first step to improved children nutritional status and cognitive.
Books-Received - Plasma Astrophysics - Kinetic Processes in Solar and Stellar Coronae

Basic Concepts. Magnetohydrodynamics. Waves in a Cold, Collisionless Plasma. Kinetic Plasma and Particle Beams. Astrophysical Electron Beams. Ion Beams and Electromagnetic Instabilities. Electrons Trapped in Magnetic Fields. Electric Currents. Collisionless Shock Waves. Propagation of Radiation. Appendices: Mathematical Expressions Units Frequently Used Expressions Notation.
NARROW BAND ULTRAVIOLET – B RADIATION NARROW BAND ULTRAVIOLET – B RADIATION THERAPY IN PATIENTS OF VITILIGO THERAPY IN PATIENTS OF VITILIGO

Objectives: To determine the efficacy of Narrow Band Ultra Violet B (NB­UVB) therapy to induce repigmentation in vitiligo patients with skin Fitzpatrick phototype IV. Study Design: Descriptive study. Place and Duration of Study: Department of Dermatology, PNS Shifa Karachi, from April 2004 to October 2005. Patients and Methods: Thirty­five patients were included in the study during a period of eighteen months starting from 23rd April 2004. Each patient had thrice weekly exposure to NB­UVB therapy on nonconsecutive days for a maximum period of one year. Results were evaluated clinically and by comparing digital photographs taken before, during and at the completion of treatment. Improvement was objectively assessed by grading it into four groups depending on percentage of re­pigmentation in the affected areas. Results: Out of the 35 patients, two dropped out and 33 completed the course of therapy successfully. The extent of vitiligo varied from 5% to 40% of body surface area. At the end of one year 9 (27.3%) patients had grade 4 recovery ( > 75% repigmentation), 15 (45.4%) had grade 3 recovery (50­75% repigmentation) and the rest had grade 2 recovery (25­50% repigmentation). No significant side effects were observed during the study period. Conclusions: Narrow­band UVB is a safe and effective treatment option for patients with Vitiligo.
High-Accuracy Capacitance Monitoring of DC-Link Capacitor in VSI Systems by LC Resonance

Monitoring the condition of a dc-link capacitor is important for the reliability-critical voltage source inverter (VSI) systems. With the ever increasing application of a metalized poly propylene film (MPPF) capacitor, a new challenge for dc-link capacitor condition monitoring (CM) is presented due to the very small equivalent series resistance and capacitance end-of-life criterion (typically 2%–5%) of an MPPF capacitor. To improve the accuracy of capacitance estimation, a novel quasi-online CM method is proposed in this paper, which introduces an LC resonance intentionally when system is not in operation. Experimental work is carried out to validate the method and the results show that 1% capacitance estimation accuracy can be achieved in a 3-kW induction machine variable frequency drive system. Because of the signal measurement at large amplitude (e.g., nominal current) and the time-based multi-parameters identification algorithm, the method is accurate and inherently insensitive to the system parameters variation, measurement noise, and effect of temperature drift. In practice, the method can be implemented using the system available sensors with no need of hardware modification. Moreover, since the resonance current is limited and decays shortly, the condition of a dc-link capacitor can be monitored safely and frequently on-site in a VSI system.
Generations of Science Parks in the Light of Responsible Innovation

Nowadays, knowledge becomes more and more important in the economy. Its increasing importance has placed knowledge-creating institutions in the focus of economic development strategies. Among these institutions, special attention is paid to universities because they ensure qualified workforce and provide the basis of new knowledge and innovation which are necessary for the long-term competitiveness of a company. Moreover, these factors could be the main drivers of the development of a territory. This is particularly important for lagging regions with universities because these regions can build upon universities to connect the regional economy to the processes of knowledge-based economy. The tools of economic development initiatives have also broadened with university-based development tools which contain the science parks as a subtype. In addition to the above, as another important megatrend, the European Union is paying increasing attention to the subject of Responsible Research and Innovation (hereafter: “RRI”), which is not only one of the flagships of the 2014-2020 programming period but, in our opinion, has a major influence on the future level of success of science parks. The aim of this study is to review the subject of science parks – primarily from the point of view of the role of universities in defining and walking these parks’ professional routes. We wish to pay special attention to how responsible innovation can be introduced and consciously managed in the professional work carried out in science parks.
THE ROLE OF ENDOPOLYSACCHARIDES EXTRACTED FROM THE MUSHROOM PLEUROTUS OSTREATUS IN ENHANCING THE IMMUNE RESPONSE AGAINST TUMOUR GROWTH IN MICE

: Cancer is one of the leading causes of death all-overs the world. However, edible mushrooms have attracted a great attention due to their fame for anti-tumour and immune-stimulatory activities. In the present study, endopolysaccharides from the mushroom Pleurotus ostreatus ( P. ostreatus ) were extracted, partially purified and studied for their antitumour and immune-modulating effects both in vitro and in vivo . The in vitro results showed that P. ostreatus endopolysaccharide fractions at doses 0.01, 0.05, and 0.25 mg/2 ml inhibited the proliferation of Ehrlich ascites tumour (EAT) cells in a dose-dependent manner. The in vivo results showed that inoculation of EAT (4 x 10 6 cells) to mice altered the differential count of leukocytes, the cellularity of different lymphoid organs, as well as the total and differential count of peritoneal exudates cells. Pre-treatment of tumour-bearing mice with doses 0.1, 0.5, and 2.5 mg/20 g BW of P. ostreatus fraction III endopolysaccharide daily for consecutive 3 weeks recovered the disturbances in the cellularity of all studied lymphoid organs. of macrophages, spleen-derived T-lymphocytes and spleen-derived B-lymphocytes functions were significantly decreased in EAT-bearing mice. P. ostreatus endopolysaccharide pre-treatment enhanced the phagocytic function of macrophages, as well as T-and B-cell functions of EAT-bearing mice. The in vitro results indicate that P. ostreatus endopolysaccharides can directly inhibit the cancer cell proliferation through cytotoxicity, and the in vivo results indicate that the antitumour effects may come through the indirect pathway by activating the host immune response, which thus leads to an increase in the host’s capacity to kill tumour cells and suppress tumour growth.
A new approach for Classification and Detection of Suspicious Lesions in Mammograms based on Adaptive Thresholding

—Breast cancer has become one of the most dangerous carcinomas for middle-aged and older women in all over the world recently [2]. Early detection of breast cancer increases the survival rate and increases the treatment options. Mammography is the most reliable detection method used in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms [4]. In this paper, a new algorithm based on adaptive thresholding for classification and detection of suspicious masses in mammograms is described. The related work was implemented using image processing tools, and using the MATLAB.