Miracle-dz/UniFAR-FTUs huggingface dataset:
Control of Meloidogyne incognita (Kofoid and White) chitwood by cadusafos (Rugby®) on tomato.

The cadusafos (Rugby ®) showed strong nematicidal property in lab experiment and greenhouse trail. Cadusafos 1%, 0.5% and 0.25% was tested in egg hatching, juveniles mortality and invasion and development of root knot nematodes Melodigyne incognita (Kofoid and White) Chitwood in tomato to (Solanum lycopersicum L.). Cadusafos 1% was found to be effective in egg inhibition of Meloidogyne incognita. Cadusafos (Rugby ®) 1% showed 100% while 0.5% and 0.25% showed 72% and 57.3% mortality of juveniles, respectively. Mortality of juveniles increased with increased exposure time and concentration. Invasion, development and reproduction of root knot nematode were evaluated on tomato crop. Data was recorded after 7, 17 and 35 days to observe the penetration and development stages including vermiform, swollen, sausage stage, immature females, adult females and egg masses of M. incognita. Maximum reduction of M. incognita was observed when soil was treated with Cadusafos (Rugby ®) 1%. Most effective concentration of cadusafos determined by above experiments was used to assess its effect as protective and curative. Root knot nematode population was reduced when cadusafos was applied as protective application.
Concentration of Heavy Metals and Health Risk Assessment of Consumption of Fish (Sarotherodon melanotheron) from an Estuarine Creek in the Niger Delta, Nigeria

Health risk assessment with respect to heavy metals concentration and consumption of fish (Sarotherodon melanotheron) obtained from Azuabie creek was carried out. Five fish samples composited were obtained from fishermen on a monthly basis from January December 2015. Heavy metals (Cr, Ni, Cu, Pb, Ag and Cd) analysis was done using Atomic Absorption Spectrophotometery while health risk to consumers was evaluated using Estimated Daily Intake, Target Harzard Quotient, Hazard Index and Target Cancer Risk. Metal concentration in fish tissue were Cu > Pb> Cr > Ni > Ag > Cd with the following mean values 5.59 ± 1.06 mgkg -1 , 5.12 ± 1.23 mgkg -1 , 2.69 ± 1.44 mgkg -1 , 1.94 ± 0.34 mgkg -1 , 1.02 ± 0.34 mgkg -1 and 0.38 ± 0.08 mgkg -1 respectively. Ni, Pb and Cd had mean values above recommended FAO/WHO limits. EDI values (mgkg -1 bw/day) were Cu 0.93 x10 -3 , Pb 0.85 x 10 -3 , Cr 0.45 x 10 -3 , Ni 0.32 x 10 -3 , Ag 0.17 x 10 -3 and Cd 0.063 x 10 -3 . THQ values were as follows: Cr 0.29, Pb 0.24, Cd 0.06, Cu 0.023 and Ni 0.016 while the HI for all metals had a value of 0.64 and the TR for Ni had a value of 2.63 x 10 -3 mgkg -1 bw-day -1 . The study concluded that fish muscle obtained from the study area showed bio-accumulation of metals over time but health risk assessment indices indicated minimal to moderate risk levels suggesting insignificant health risk. This could douse public health concerns in terms of human exposure via consumption of fish but regular monitoring is advised to detect changes in metal concentration. Keyword: Azuabie creek, Fish, Heavy metals, Health Risk, Niger Delta
Association of Maternal Vitamin C Status with Gestational Diabetes Mellitus

Background: The role of antioxidants in the etiology of gestational diabetes mellitus (GDM) has been given limited attention. Vitamin C is a nutrient with radical quenching property and has been claimed to influence glucose tolerance. Aim: To study the association between vitamin C status (dietary intake and plasma concentrations) and GDM. Material and Methods: Using a case-control design with 1:3 ratio we examined 42 pregnant women with GDM and 158 normal glucose tolerant (NGT) gestational age-matched healthy pregnant women at an average of 26 weeks of gestation. Maternal vitamin C intake was determined using detailed semi food frequency questionnaire (SFFQ) and 24 hour diet recall. Plasma vitamin C was determined using a spectrophotometric method in non-fasting samples. GDM was diagnosed by 75 gm oral glucose tolerance test (OGTT) using International Association for Diabetes in Pregnancy Study Group (IADPSG) criteria (fasting ≥92mg%, 1hour ≥180mg%, 2 hour ≥153mg %). Results: GDM women had lower median intake of vitamin C (35.0 mg/day vs. 66.7; p<0.001) and lower median plasma vitamin C concentration (45.9 μmol/L vs. 95.2; p<0.001) compared to NGT women. Plasma vitamin C concentration was inversely related to fasting, 1 hour and 2 hour post glucose plasma glucose concentrations (p<0.001). The associations remained significant after adjustment for age, income, pre-pregnancy BMI, and stress. Conclusion: Our findings suggest that low vitamin C intake as well as low plasma vitamin C concentration is associated with GDM. This association needs to be tested in a large prospective study and subsequently in a clinical trial. Association of Maternal Vitamin C Status with Gestational Diabetes Mellitus 1* 1 2 3 Hedyeh Masoodi , Trupti Vilas Kamat ,Kurus Jhangir Coyaji , Dattatray Shivram Bhat , 3 3 Kalyanaraman Kumaran , Chitaranjan Sakerlal Yajnik Interdisciplinary School of Health Sciences, Savitribai Phule Pune University, Pune2 411007(Maharashtra), India, Department of Obstetrics and Gynecology, KEM Hospital, 3 Pune-411011(Maharashtra), India, Diabetes Unit, KEM Hospital Research Center, Pune-411011(Maharashtra), India
Generalized Embedding Model for Knowledge Graph Mining

Many types of relations in physical, biological, social and information systems can be modeled as homogeneous or heterogeneous concept graphs. Hence, learning from and with graph embeddings has drawn a great deal of research interest recently, but developing an embedding learning method that is flexible enough to accommodate variations in physical networks is still a challenging problem. In this paper, we conjecture that the one-shot supervised learning mechanism is a bottleneck in improving the performance of the graph embedding learning, and propose to extend this by introducing a multi-shot "unsupervised" learning framework where a 2-layer MLP network for every shot . The framework can be extended to accommodate a variety of homogeneous and heterogeneous networks. Empirical results on several real-world data set show that the proposed model consistently and significantly outperforms existing state-of-the-art approaches on knowledge base completion and graph based multi-label classification tasks.
Current Status and Recent Developments in Biopesticide Use

Biopesticides have attracted attention in pest management in recent decades, and have long been promoted as prospective alternatives to synthetic pesticides. Biopesticides have also attracted great interest in the international research community, with a significant increase in the number of publications devoted to the subject. Recently, new substances, like strains of the fungus Talaromyces flavus SAY-Y-94-01, extracts of the plant Clitoria ternatea (butterfly pea), products of the fungus Trichoderma harzianum, products of the bacterium Bacillus thuringiensis var. tenebrionis strain Xd3 (Btt-Xd3), the alkaloid compound oxymatrine, fermentation products of the bacterium Lactobacillus casei strain LPT-111, stilbenes accumulated in grape canes, and olive mill wastes, have been reported in the literature as promising compounds for use as biopesticides, but more field research is required to assess the effects on specific pest problems under diverse cropping systems. Nevertheless, biopesticides have not yet reached the desired level of use, whereby they could displace the dominance of chemical pesticides, given that the commercialization of new products in the market is lagging behind. Currently, biopesticides comprise a small share of the total crop protection market globally, with a value of about $3 billion worldwide, accounting for just 5% of the total crop protection market. Fewer biopesticide-active substances are registered in the European Union (EU) than in the United States, India, Brazil, or China, due to long and complex registration processes in the EU, which follow the model for the registration of conventional pesticides. Nanoformulations and microencapsulation technologies can improve the stability and residual action of biopesticide products, and this could increase their field use. Regulations that promote registration of low-risk compounds with the provision of incentives could also facilitate commercialization and availability of biopesticides in the market.
Performance evaluation of enhanced MANETs routing protocols under video traffics, for different mobility and scalability models using OPNET

Mobile Ad hoc Networks (MANETs) is a type of wireless networks which consist of a collection of wireless mobile nodes forming a self-configured and self-organized network without any need for using existing infrastructure or centralized administration. Recently video streaming over MANETs technology received a huge attention from the researchers and industry sectors to make them more affordable better and valuable in a communication environment. Routing becomes a curtail core problem in networks for sending data from source node to destination node. There are several routing protocols algorithms are proposed recently to overcome most of the MANETs challenges such as high dynamic topology changes, limited resources(bandwidth ,memory ,CPU), link failure caused by node mobility, limited battery power on mobile nodes, energy consumption due to routing computation and etc. The main method for evaluating the performance of MANETs is simulation. This paper provides a comprehensive study and analysis of the performance evaluation of various MANETs routing protocols such as AODV, OLSR, DSR, TORA, and GRP, under video traffic over IEEE 802.11/g. Performance evaluation under various network scenarios for video streaming performed on the basis of the performance metrics (end to end delay, throughput, packet delivery ratio (PDR), routing overhead, packets dropped, retransmission attempt and network load). The objective of the performance evaluation is to show the effect of the mobility and scalability models on the overall performance of video transmission on the MANETs routing protocols and which protocols overcome the video streaming challenges. Different mobility and scalability scenarios are evaluated after simulation of network with the help of OPNET modeler simulator
Screening of Two Ocimum tenuiflorum L. (Lamiaceae) Morphotypes for their Morphological Characters, Essential Oil Composition and Fruit Fly Attractant Ability

Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) is the destructive pest of over 300 cultivated and wild fruits all over the world. Present study describes the morphology, essential oil content and composition and bioassay on fruit fly attractant ability of essential oil of two Ocimum tenuiflorum morphotypes (MT1 purple and MT2 purple-green) grown in Sri Lanka. Four months old, O. tenuiflorum aerial parts were hydro-distilled for 4 h. GC-MS analysis of essential oils and bio-assay for B. dorsalis attractant ability was performed using previously established methodologies. The yield of the essential oils of O. tenuiflorum MT1 and MT2 were 1.51±0.02% and 1.45±0.01% (v/w), respectively. Eighteen compounds were identified, which encountered over 97% of the oil constituents. The main constituents found in the oil of MT1 were methyl eugenol (72.50±1.03%) followed by β-caryophyllene (17.53±2.0%), germacrene D (1.55±0.10%), β-elemene (2.46±0.17%), while methyl eugenol (64.23±2.43%), β-caryophyllene (13.29±2.18%), β-elemene (6.94±1.41%), germacrene D (2.47±0.96%), were from extracted from MT2. Bioassays conducted on essential oils of MT1, MT2 and purified Methyl Eugenol demonstrated that the B. dorsalis attractant ability of essential oil MT1 (106±8.1), MT2 104±2 and commercial Methyl Eugenol (111±8.5) was not significantly different during the first week of the experiment. Results of our study open an avenue for use of essential oil of Ocimum tenuiflorum as potential natural para pheromone source for fruit fly control and monitoring in fruit industry in Sri Lanka.
Explicit and Implicit Attitude Tests Examining Attitude Towards Obese People Among Undergraduate

English Studies examining attitudes towards obese people have mainly focused on conscious or explicit attitudes which may be biased by social desirability. Therefore, the present study examined both explicit and implicit, that are considered to be unconscious, attitudes towards obese individuals. A sample of 46 undergraduate psychology students participated in the study. The results showed that there is a negative bias towards obese individuals with 73% participants demonstrating strong, moderate or slight implicit bias of which 33% showed strong bias. There was a small, but significant correlation between implicit and explicit measures of attitudes. As hypothesized social desirability was associated with explicit attitudes but counter to hypothesis social desirability was also associated with implicit attitudes. Lastly, women and younger participants had more negative explicit attitudes but no difference was found on implicit attitudes. The findings demonstrate that there is a negative bias towards obese individuals as assessed with both implicit and explicit attitude measures. As these negative biases can severely affect quality of life among obese individuals educational interventions are needed to address and correct these anti-fat biases.
Skeletal Palaeopathology as illustrated by Sudeck's Dystrophy in a post-trauma foot from the Middle Ages

As a branch of pathology, palaeopathology searches in human or animal remains for marks of diseases, which occurred in ancient times. We present a foot from the Middle Ages showing changes caused by Sudeck’s dystrophy, presumably due to a fracture of the talus. In addition to its historical interest, this observation underlines the opportunities provided by osteoarticular palaeopathology alongside today’s pathology.
Geochemical Characterization of Soil and Water From a Wastewater Treatment Plant in Gaza

The aim of the study was to determine the interaction between the natural geochemistry and the anthropogenic effects through trace element profiles in one of the environmentally significant areas of the Gaza Strip. Five boreholes were dug in the area of the Gaza wastewater treatment plant. The geology, mineralogy, and geochemistry of the soil profiles were studied, and the geochemistry of wastewater, sludge, soil, and groundwater was identified by several analytical techniques. The study introduced the environmental baselines and the infrastructure needed for further research for the first time: the natural infiltration potential, the artificial recharge, and the agricultural activities of water and wastewater. The results of the geochemical investigations confirmed that the upper 40 cm of soil was found to be the affected zone by wastewater and sludge. Among 26 elements analyzed, only a few metals (As, Cd, Cr, Hg, Zn, and to a lesser extent Pb) showed relevance from the human health point of view. The metal accumulations in the soils were characterized by a large spatial variability, with some “hot spots” of Cu and Zn reaching topsoil concentrations of up to 240 and 2005 mg/kg, respectively. In spite of that, the results of the groundwater revealed that none of them was detected at concentrations that exceeded the WHO (World Health Organization) standards. Moreover, it was shown that both anthropogenic activities as well as seawater intrusion caused the high levels of nitrate and salinity.
Effectiveness of Different Plant Extracts against Galleria Mellonella Larvae in Laboratory

Received: 26 December 2017 Revised received: 21 February 2018 Accepted: 26 February 2018 The present investigation was undertaken to study the effectiveness of different plant extracts against Galleria mellonella larvae in laboratory. Acetone prepared extracts of leaves, stem, seed, root, husk of thirteen medicinal and healthy plants were used to examine their effects on the mortality of the greater wax moth Galleria mellonella larvae in laboratory. Results revealed that only six plant extracts prepared with leaves and stem cause mortality of wax moth. Larval mortality was highest (93.33%) with husk prepared extract of P. psyllium followed by leaf prepared extract of H. sativum (80%), Raphanus sativus (73.33%), Linum usitatissimum (66.66%) Cucurbita moschata (46.66%) and Vicia sativa (46.66%). The larval mortality with stem/root/seed prepared extract was recorded highest in Hordeum sativum (73.33%) followed by Raphanus sativus (80%), Cucurbita moschata (60%) Linum usitatissimum (53.33%) and Vicia sativa (40%) and found significant difference with the control (0.00%). There was no mortality of larvae was found in control and other remaining plant extract. Irrespective of the different plants, highest per cent mortality (52.22%) of wax moth larvae by stem/seed/ root prepared extract followed by leaf extract (48.66). Therefore, the plant extract of different plants were found effective against Galleria mellonella larvae.
AUTOMATIC MACHINE LEARNING TECHNIQUES ( AMLT ) FOR ARABIC TEXT CLASSIFICATION BASED ON TERM COLLOCATIONS

Due to the rapid and increased availability of documents in a digital format, effect for retrieving information with highest accuracy and the lowest error rate is becoming more difficult. Text Classification (TC) has become one of the key techniques for controlling and organizing documents based on the content of documents. Therefore, keyword extraction is one of the most important natural language processing applications, which extracts information from the document such as term collocations, which are two or more words appear together and always seem as associated. In Arabic language, there are many problems in keyword extraction because of the complexity of Arabic orthography. Moreover, the accuracy is affecting by the document content and the classification technique used. The need for automatic text classification came from a large amount of electronic documents on the web. This research aims to propose an Automatic Machine Learning Techniques (AMLT) for classifying Arabic documents by using term collocations. These collocations are mined from Arabic documents, the extracted term collocations will scoring by using association measure and will be used as terms feature selection. To achieve this study, we used Arabic documents divided into four categories (Economy/ business, Politics, Religion and Science). The results of our approach have compared with the full-document approach and summary-document approach using four techniques (SVM, NB, J48, and KNN) for Arabic documents to determine which classifier is more accurate for Arabic text based on term collocation. The evaluation results proved that our proposed approach outperforms the other method in accuracy.
Correlated Effects of Ocean Acidification and Warming on Behavioral and Metabolic Traits of a Large Pelagic Fish

Ocean acidification and warming are co-occurring stressors, yet their effects on early life stages of large pelagic fishes are not well known. Here, we determined the effects of elevated CO2 and temperature at levels projected for the end of the century on activity levels, boldness, and metabolic traits (i.e., oxygen uptake rates) in larval kingfish (Seriola lalandi), a large pelagic fish with a circumglobal distribution. We also examined correlations between these behavioral and physiological traits measured under different treatments. Kingfish were reared from the egg stage to 25 days post-hatch in a full factorial design of ambient and elevated CO2 (~500 µatm and ~1000 µatm) and temperature (21 °C and 25 °C). Activity levels were higher in fish from the elevated temperature treatment compared with fish reared under ambient temperature. However, elevated CO2 did not affect activity, and boldness was not affected by either elevated CO2 or temperature. Both elevated CO2 and temperature resulted in increased resting oxygen uptake rates compared to fish reared under ambient conditions, but neither affected maximum oxygen uptake rates nor aerobic scope. Resting oxygen uptake rates and boldness were negatively correlated under ambient temperature, but positively correlated under elevated temperature. Maximum oxygen uptake rates and boldness were also negatively correlated under ambient temperature. These findings suggest that elevated temperature has a greater impact on behavioral and physiological traits of larval kingfish than elevated CO2. However, elevated CO2 exposure did increase resting oxygen uptake rates and interact with temperature in complex ways. Our results provide novel behavioral and physiological data on the responses of the larval stage of a large pelagic fish to ocean acidification and warming conditions, demonstrate correlations between these traits, and suggest that these correlations could influence the direction and pace of adaptation to global climate change.
Role of ADA in the Differential Diagnosis of Pleural Effusion.

Introduction: Tuberculosis is one of the oldest and commonest infectious diseases. According to World Health Organization (WHO), tuberculosis is estimated to affect more than a billion individuals worldwide with 8.7 million cases and 1.4 million deaths each year. Adenosine deaminase has been proposed to be a useful surrogate marker for tuberculosis in pleural fluids. Studies have confirmed high sensitivity and specificity of Adenosine deaminase for early diagnosis of extra pulmonary tuberculosis. Materials and Methods: study comprised of 100 cases of pleural fluid. In this study we divided cases in to three groups: Group 1 (Tuberculosis) 52 cases, Group 2 (Malignancy) 26 cases and Group 3 (Non-tuberculosis non-malignancy effusion) 22 cases. ADA estimation was carried in all cases of pleural fluid. Results: Tuberculous pleural effusion is most common cause than other effusion. Male (57 Cases) are more predominant affected than female (43 cases) in all type of pleural effusion. Pleural effusion is more common in 18-50 year of age group (37 Cases). ADA value is higher in TB pleural effusion then other types of effusion, Mean ADA level in TB pleural effusion was 28.8 ±7.80 IU/L. Conclusion: Estimation of ADA in pleural fluid is simple, inexpensive and rapid and also specific and sensitive for diagnosis of tuberculous effusion. Most common cause of pleural effusion was tuberculosis after malignant pleural effusion.