Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Interaction between Traits of Different Genotype Maize in Six Fertilizer Level by GGE Biplot Analysis in Hungary

Hungary was one of the main countries in the world as regards the yields reached in maize production. The research was conducted to appraise the effect of NPK fertilizer on traits of different hybrid maize (Fao410, Fao340) at the University of Debrecen and our experiment was carried out in Centre for Agricultural Sciences, Institute of Crop Sciences at Látókép in 2018. NPK fertilizer was applied in six different combinations (0-0-0 control, 30-23-27 first dose, 60-46-54 second dose, 90-69-81 third dose, 120-92-108 fourth dose and 150-115-135 fifth dose kg · ha−1). The result of compound variance showed the level of fertilizer and interaction between fertilizer and genotypes were significant in one percent. Effect of genotypes was a variable level of fertilizer and providing a different yield in the level of fertilizer. The weight of seeds in ear and weight of ear were important traits in the average yield on Fao410 hybrid. Also, the fourth of the fertilizer level was the best level of fertilizer for yield on Fao410 and Fao340. the weight of fresh plant and weight of seeds in ear were highest relation with yield in H340 hybrid. The results of this research can successfully contribute to the science of maize cultivars, the given adapted hybrid to the discovery of their traits and to an application of fertilizers.
Scaling-up Sustainable Energy Storage in Developing Countries

Background: The modularity and universal deployability of certain energy storage and variable renewable energy resources make the combination of these two elements a possible game changer for achieving universal access to electricity in developing countries while simultaneously decarbonizing their electric grids. Recent cost declines in electrochemical batteries have enabled solutions based on batteries and renewables that have proved to be cost-competitive with fossil-based alternatives in a growing number of cases. However, most widely-available battery systems may not be optimal for power systems applications operating under the challenging conditions frequently found in developing countries. Additionally, scaling-up sustainable energy storage in developing countries requires addressing a number of important challenges that are not well understood. The study presented in this article aims at identifying these challenges, and was undertaken in preparation of the Energy Storage Partnership: a consortium of over 30 organizations convened by the World Bank to jointly address them. Methods: Expert elicitation in combination with a literature review of standards, news articles, vendors’ public materials and academic literature. Results: The study identifies current challenges for scaling up energy storage in developing countries, and presents research and development work to overcome them. Conclusions: A wide spectrum of research and development actions is required for energy storage to make its full contribution to energy policy objectives in developing countries. Implementing the actions highlighted in this article will require a concerted approach by national governments and stands to benefit substantially from international cooperation.
Deep Flight: Learning Reactive Policies for Quadrotor Navigation with Deep Reinforcement Learning

Obstacle avoidance for micro aerial vehicles is an essential capability for autonomous flight in cluttered environments, but is often challenging because limited payload capacity only permits the use of lightweight sensors like monocular cameras. We show that Deep Q-learning has the potential to be used for end-to-end training of obstacle avoidance policies for UAVs, mapping directly from a stack of monocular images to controls in a low-textured environment while flying at a constant speed. We validate our algorithm by testing it on a random forest of cylinders and comparing it against baseline algorithms, By training the network over 6,200 self-supervised episodes, we achieve significantly higher performance than the baseline in terms of obstacle avoidance success rate and collision-free flight time. In addition, we released the open-source code of our simulator to facilitate rapid prototyping of deep RL algorithms for flying robots. We are currently working towards deploying our network on a real UAV system. A video of our results is available at https://goo.gl/w5yDTX
TOXICITY OF ORGANOPHOSHOROUS PESTICIDES TO THE MARINE ALGA

Organophoshorous pesticides are widely used in agriculture, because most of them are high effective and low persistent. Yet their increased usage has elicited extensive research into pesticide effects on non-target organisms, such as algae. Algae are of vital importance in the primary production of aquatic ecosystems. Furthermore they have been considered to be indicators of the bioactivity of industrial wastes and they vary in their response to a variety of toxicants. However little is known about the toxicity of the new pesticides to marine green algae. Laboratory toxicity data concerning responses of aquatic organisms to pesticides are important for focusing on sensitive species exposed to aqueous concentrations of these pesticides in field studies and they also allow prediction of expected responses of aquatic species to a range of pesticides concentrations in situ. The effects of seven organophosphorous pesticides on the green unicellular marine alga Tetraselmis suecica were studied through 96h toxicity tests. The pesticides tested were azinphos ethyl, azinphos methyl, dimethoate, fenthion, parathion ethyl, parathion methyl and disulfoton,. Maximum Specific Population Growth Rates (MSGRs) were calculated for each pesticide tested. Also NOEC, LOEC values and MATC at 96h were estimated when compared to the controls.
PQ Controller for Single Phase Bridgeless Boost PFC Rectifiers Tek Fazlı Köprüsüz Yükseltici PFC Doğrultucular İçin PQ Kontroller

Yasemin Önal orcid.org/0000-0003-0173-0948 harmonics and reactive power in the DG systems. The existence of harmonics in the DG systems ends up with some impacts, including increased heat losses in transformers, electrical motors, and power lines; low power factor; insufficient usage of distribution cable and plant. Conventional passive filters PF have been used in order to meet the standards such as IEEE-519 and IEC-555, to compensate DG systems harmonics, and to develop power quality, but are often not ideal due to increased cost, fixed compensation, large size, and resonance problems (Akagi et al. 2007).
Anti-fatigue effect of L-arginine complex preparation on mice

Objective: To investigate the anti-fatigue effect of L-arginine complex preparation on mice. Methods: The experimental mice were divided into a blank group, low dose group, medium dose group and high dose group. L-arginine complex preparation mice were intragastrically administered for 30 days, and the mice were tested for exhaustive swimming time. At the same time, contents of plasma lactic acid, lactate dehydrogenase, urea nitrogen and hepatic glycogen were measured. Results: Compared with the blank control group, the weight-bearing swimming time and hypoxia-tolerant survival time of the low, middle and high dose groups was significantly increased (P<0.05). Whereas, the serum urea nitrogen levels and lactose content were significantly decreased (P<0.05). However, compared with the blank control group, the liver glycogen content of the middle and high dose groups was increased significantly (P<0.05), and there was no significant difference in the low dose group. Conclusion: The L-arginine complex preparation has an anti-fatigue function in mice.
Welfare and food security effects of commercializing African indigenous vegetables in Kenya

Abstract African indigenous vegetables (AIVs) have high nutritional value, forming a potent weapon against the pressing hidden hunger problem in East Africa, but they are not sufficiently adopted as cash crops by Kenyan small-scale farmers to meet the rising demand in the urban areas. This study therefore aims (i) to explore which factors motivate small-scale farmers to specialize in commercial AIV production and (ii) to assess the impact of AIV production on household income and food security. This analysis was based on primary data from 706 rural and peri-urban small-scale vegetable producers in Kenya. Results of a binary choice model showed that education, participation in producer groups, access to market information and irrigation water, as well as distance to the next city influenced the decision to commercialize AIV production. Impact analysis was conducted with binary and continuous propensity score matching (PSM) and endogenous switching regression (ESR). The production of AIVs as cash crops positively influenced the total per capita household income and the food security status of the households.
The state of service-learning in Australia

This article provides an overview of the present status of service-learning in Australia. It explores the evidence for service-learning in Australia through published literature and a desktop audit that identified service-learning units/courses publicly available on university websites. Authorship of the article has provided a wider perspective to ensure the accuracy of its substance and conclusions. Service-learning is a relatively new curriculum approach in Australia in all but small pockets within universities and in faith-based institutions. However, in recent years, interest in civic learning outcomes for students has been behind efforts to include it more broadly in higher education approaches to engendering citizenship and social awareness as well as to expand the range of approaches to work-integrated learning. To capture this growing interest, an Australian service-learning network and summit is planned for November 2019.
γ-aminobutyric acid alleviates LPS-induced acute lung injury in mice through upregulating type B receptors

Introduction In recent years, studies have shown that GABA has a certain therapeutic effect on acute lung injury (ALI), but its specific mechanism has not been fully elucidated. The study was designed to investigate the protective effect and mechanism of γ-aminobutyric acid (GABA) on ALI induced by lipopolysaccharide (LPS) in mice. Material and methods C57BL/6 mice were randomly divided into a control group, LPS group, LPS + GABA (10 mg/kg) group and LPS + dexamethasone (Dex, 5 mg/kg) group. The survival rate of each group was observed at different time points after modeling. The levels of tumor necrosis factor α (TNF-α), interleukin (IL) 1β, 10, myeloperoxidase (MPO) and the cell count and protein concentration in bronchoalveolar lavage fluid (BALF) were measured. Lung histopathology and the expression of GABA receptors were observed by HE staining and immunohistochemistry respectively. Lung water content was assessed by wet-dry weight ratio. Results GABA could significantly improve the survival rate and prolong the survival time of animals, alleviate the degree of inflammatory injury and pulmonary edema, reduce the content of MPO, down-regulate the levels of pro-inflammatory cytokines IL-1β and TNF-α, and up-regulate the expression of anti-inflammatory cytokine IL-10. Moreover, GABA could significantly decrease the expression of type A receptors and enhance type B receptors. Conclusions GABA can effectively alleviate ALI induced by LPS in mice, and its effect may be related to the upregulation of type B receptors.
19th Int'l Symposium on Quality Electronic Design

In this paper, a network-on-chip four-level pulse amplitude modulation (4-PAM) scheme is proposed to be used for communication within the network itself in MPSoCs. A current-mode based 4-PAM transmitter is used to encode data transactions between neighboring routers. Decoding data streams is done by a flash-ADC based receiver using clocked latched type comparators. Additionally, this scheme is implemented on networks utilizing high-radix routers with a local concentration factor of 2 IPs per node to encode data streams injected into the network at the network interface and decode them at the input port of the router. We also discuss the required modifications to the router architecture in the input port buffers and introduce a two-stage allocation method to resolve conflicts of output port requests which is essential to maintain system stability after saturation by utilizing a fair flow control methodology. This results in a reduction in wiring load for each router which is an added value that facilitates the routing stage. The evaluation is extended to reflect the overall network performance supporting the use of multi-valued logic and estimate the overhead of implementation on area and power
INTEGRATING CONTEXTUAL INFORMATION INTO ONTOLOGIES FOR READING MATERIAL CLASSIFICATION

Reading Material Classification (RMC) classifies an unclassified text into the readability graded reading material based on its text readability. Recent approaches for RMC have used Natural Language Processing (NLP) methods such as machine-learning-based methods (e.g., Support Vector Machine, Multinomial Naïve Bayes and Latent Semantic Indexing) to overcome disadvantages of using the syntactic features, i.e., insufficiency for modeling the levels of text reading difficulty. Ontologies have been used for sharing and reusing knowledge, and perhaps supporting the inference. It will be used for RMC. Concepts and contexts are treated separately in ontologies. By only using basic NLP techniques such as stemming and word sense disambiguation, integrating contextual information into ontologies, i.e., Contextual Ontology (CO), is proposed which aimed to improve the ontology’s performance and possibly other types of quality for RMC. From the evaluation experiments, we do not claim that our proposed method is better than machine-learning based RMC, our system performance is just on a par with them. Rather than beating them, we aimed to use RMC to show that integrating contextual information into ontologies (RMC-CO) provides a considerable benefit for ontologies than not integrate it (RMC-O). 1.56% and 2.11% improvements can be obtained for validation and testing data, respectively.
Downregulation of SPARC Expression Decreases Cell Migration and Invasion Involving Epithelial-Mesenchymal Transition through the p-FAK/p-ERK Pathway in Esophageal Squamous Cell Carcinoma

Purpose: Secreted protein acidic and rich in cysteine (SPARC) is an extracellular glycoprotein overexpressed in various malignancies, including esophageal squamous cell carcinoma (ESCC), and is involved in tumor development and progression. This study was initially designed to investigate the biological roles of SPARC in ESCC cell lines by silencing SPARC expression. Methods: The expression of SPARC was examined in eight human ESCC cell lines. Eca109 and HKESC cell lines with high SPARC expression were selected and transiently transfected with SPARC-targeted small interfering RNAs (siRNAs) and subsequently evaluated its impact on cell proliferation, migration and invasion in vitro, as well as the underlying mechanism. Results: Knockdown of SPARC by the specified siRNAs in Eca109 and HKESC cell lines resulted in dramatically downregulation of SPARC expression, and significantly decreased cell migration and invasion involving epithelial-mesenchymal transition (EMT) in vitro. Moreover, SPARC-targeted siRNA reduced the activation of phosphorylated focal adhesion kinase (p-FAK) and extracellular regulated protein kinase (p-ERK). Furthermore, downregulation of either FAK or SPARC expression with specified siRNAs inhibited the phosphorylation of ERK and inhibited cell migration and invasion. However, decreased SPARC expression showed no impact on cell proliferation, survival or apoptosis of Eca109 and HKESC cells when comparing to control transfected groups. Conclusions: These results demonstrated that downregulation of SPARC could decrease cell migration and invasion involving EMT via the p-FAK/p-ERK pathway that might serve as a novel therapeutic target against ESCC.
Current Trends in Pharmacy and Pharmaceutical Chemistry

Herbal drugs predominate in traditional medicine as well as in alternative medicine practiced in the developed world. Among the various indications where traditional herbal medicines are used, skin related disorders is ranked top. The majority of the population in developing countries uses plants or plant preparations in their basic health care. In present study is to formulate and evaluate a poly herbal ointment with antibacterial activity. Ointments were formulated using methanolic extract of M. Koenigii(L.) spreng, essential oil from T. erecta (L.) flower methanolic extract of honey were evaluated for its physicochemical properties. The prepared extracts of the choose plants were taken in specific ratio randomly for antibacterial evaluation. Ointments were all set making use of special concentrations of the extracts with the aid of fusion procedure utilizing simple ointment as a base. Formulations had been then tested for its physicochemical properties like colour, odour, pH, consistency and gave satisfactory results. Probably the most powerful mixture used to be then determined via evaluating the results of the zone of inhibition given through distinct extract ratios on Escherichia coli, Staphylococcus aureus of antibacterial undertaking against various gram positive and gram negative. The entire formulations confirmed predominant recreation against selected species. The formulations are found to be very efficacious in all the parameters which has conducted and also found enhance Antibacterial property. Overall result of this study reveals that this is an effective Polyherbal Antibacterial ointment.
The research progress of TGF-.BETA./Smads signal pathway in the treatment of myocardial fibrosis and its application

Myocardial fibrosis(MF) is a common pathological change that a variety of cardiac diseases develop to a certain stage,which is one of the main performance of myocardial remodeling.This pathological change exists in many cardiovascular diseases and associates with arrhythmia,heart failure and other closely related diseases.Transforming growth factor-β(TGF-β) plays an important role in the occurrence and development of MF.TGF-β/Smads signal pathway is the major pathway in which TGF-β plays a biological role,and its molecular composition and molecular regulation are complex.In this paper,the signal pathway in the treatment of MF and its application are reviewed.
BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification

: Automatic detection of brain anomalies in MR images is very challenging and complex due to intensity similarity between lesions and normal tissues as well as the large variability in shape, size, and location among different anomalies. Inspired by groupwise shape analysis, we adapt a recent fully unsupervised supervoxel-based approach (SAAD) — designed for abnormal asymmetry detection of the hemispheres — to detect brain anomalies from registration errors. Our method, called BADRESC, extracts supervoxels inside the right and left hemispheres, cerebellum, and brainstem, models registration errors for each supervoxel, and treats outliers as anomalies. Experimental results on MR-T1 brain images of stroke patients show that BADRESC attains similar detection rate for hemispheric lesions in comparison to SAAD with substantially less false positives. It also presents promising detection scores for lesions in the cerebellum and brainstem.
Dynamic Recognition of Obstacles for Optimal Robot Navigation

Navigation is a well established field with robust algorithms that can work out-of-the-box in systems like ROS. Nonetheless, there are situations in which the current navigation approaches are laking in terms of optimality. Examples arise when too much "safe space" is assigned around a given object that can completely prevent a robot from using a given path and forces the use of an alternative path that can be much longer. In this paper we propose the dynamic adaptation of robot navigation strategies depending on the type of obstacles that are met during navigation. We do this in real time using a convolutional neural network for obstacle recognition and a path planning parameter adjustment depending on the obstacle category. We present experiments illustrating the difference in paths that can be obtained by using the proposed approach versus standard approaches implemented in ROS.
Risk of Hospitalization in Long-Term Care Residents Living with Heart Failure: a Retrospective Cohort Study

Background Older adults living with heart failure (HF) in long-term care (LTC) experience frequent hospitalization. Using routinely available clinical information, we examined resident-level factors that precipitate hospitalization within 90 days of admission to LTC. Methods This was a retrospective cohort study of older adults diagnosed with HF, who were admitted to LTC in Ontario, Canada, between 2011 and 2013. Multivariate logistic regression models using generalized estimating equations were developed to determine predictors of hospitalization in residents with HF. Results Entry to LTC from a hospital was the strongest predictor of future hospitalization (OR: 8.1, 95% CI: 7.1–9.3), followed by a score of three or greater on the Changes in Health, End-stage Signs and Symptoms scale, a measure of moderate to severe medical instability (O.R 4.2, 95% CI: 3.1–5.9). Other variables that increased the likelihood of hospitalization included being flagged as a high risk for falls, two or more physician visits, and increased monitoring for acute medical illness within 14 days of admission. Conclusion Our findings highlight that health instability and transitions from acute to LTC will increase the likelihood of transitioning back into the hospital setting. The identified predisposing factors suggest the need for targeted prevention strategies for those in high-risk groups.
Infrared Powered Vibro-Haptic Piano Training System for the Visually Impaired

The proposed system uses an infrared enabled haptic glove which is programmed for a fast paced learning of the piano for the visually impaired. The system provides haptic cues to the player facilitating the spatial knowledge of the key to be pressed along with the finger to be used.A string of Infrared (IR) devices are positioned over the keys of the piano. Each IR device corresponds to the individual white and black keys, which are configured to be activated by electrical signals synchronized with the musical notations. The tactile-actuators on the glove are excited as soon as the correct key and user’s fingers are aligned. It facilitates spatial Passive Haptic Learning (PHL) of the user. A group of 7 visually impaired participants were selected, at a local music studio for one month, 3 of them used the proposed system, whilst 4 of them learnt the traditional way with the instructors.The findings demonstrate that multisensory PHL provides a rich and vivid learning experience and a shorter learning curve with increased efficiency.
Measuring and Zoning of Heavy Metals Pollution in Soil Using GIS for Fields to the South of Tehran

M.Sc. Student of Environmental Pollution, College of Agriculture and Natural Resources, Yazd Science and Research Branch, Islamic Azad University, Yazd, Iran 2 Associate Professor, Department of Agroecology, Shahid Beheshti University, G.C. , Tehran, Iran 3 Assistant Professor, Department of Agroecology, Shahid Beheshti University, G.C. , Tehran, Iran Assistant Professor, Department of Civil Engineering, Islamic Azad University, Khorramabad Branch, Iran