Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Characterization of Trichoderma Mutants with RAPD Marker

Trichoderma is used in different crop like rice, wheat, pulses (black gram, cowpea, and chickpea) vegetable (tomato, brinjal, and chili) against a wide range of plant pathogen. One of the popular species, Trichoderma viride is effective against all soil borne fungal pathogen like Phytophthora, Fusarium, Pythium, Rhizoctonia, Sclerotium. Trichoderma, reduce growth, survival or infection caused by pathogen by different mechanism. In addition, some species of the genus are economically important producers of industrial enzymes (Trichoderma reesei, Hypocreajecorina; and antibiotics (Sivasithamparam and Ghisalberti, 1998). Trichoderma is easily identified in culture media, which produces large number of characteristics small, green or white conidia, from phialides present on the profusely or meagrely branched conidiophores. However, the identification of isolates to species level is difficult and confusing due to the complexity and closely related characters of the species. Trichoderma isolates were differentiated by mycelial growth rate and colony appearance, as well as microscopic morphological features, including phialides and spores. These can also be distinguished by molecular techniques like DNA sequencing, Random Amplification of Polymorphic DNA (RAPD) analysis, Restriction Fragment Length Polymorphism (RFLP) analysis, internal transcribed International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 10 (2018) Journal homepage: http://www.ijcmas. com
Pelatihan Pembelajaran Daring (Google Classroom) bagi Guru MTs dan MI Nurul Yaqin Kelanjur

Tujuan dari kegaitan pelatihan agar guru bisa melakukan pembelajaran secara online melalui rumah tanpa tatap muka langsung dengan siswa. Langkah langkah yang dilakukan dalam pelatihan ini adalah pertama, menerapkan protokol Kesehatan sebelum, ketika dan sesudah melakukan pelatihan. Kedua, memperkenalkan tentang pembelajaran daring. Ketiga, menjelaskan tentang google classroom dan cara penggunaannya. Dan keempat praktik pengunaan google classroom. Dari pelaksaan yang dilakukan di dapatkan hasil bahwa peserta pelatihan dapat memahami materi dengan baik.
ANALYSIS OF MULTIPLE GAS-SOLID REACTIONS DURING THE GASIFICATION OF CHAR IN OIL SHALE BLOCKS.

A mathematical model is presented for the major high-temperature chemical reactions occurring in the absence of O/sub 2/ within a block of spent oil shale: decomposition of dolomite and calcite, char pyrolysis, carbon gasification with CO/sub 2/ and H/sub 2/O, water-gas shift, and intrablock diffusive and convective flow of CO/sub 2/, CO, H/sub 2/ and H/sub 2/O. To establish the validity of the computer model, experiments were performed on cylindrical blocks of oil shale having a mass of about 8 kg. The blocks were heated in an electric furnace and swept with heated gas of controllable composition that included steam. Maximum block surface temperatures of 750/sup 0/C and 815/sup 0/C were used. The computer model produced excellent simulations of the experimental carbon gasification reactions. Accurate simulation of the carbon gasification reactions required the use of intrinsic rate coefficients that were substantially lower than those previously measured for powdered samples. The water-gas shift had an almost negligible effect on the rate of carbon gasification in all runs.
Design and Construction of Information-based Teaching Cloud Space in Colleges and Universities under the Framework of TPACK

In order to improve the quality of information-based teaching in colleges and universities, promote the penetration of information technology into the classroom, and improve the teaching effect, based on the TPACK framework, this paper designs the information-based teaching cloud space in colleges and universities, and constructs the system framework by combining the learning theory and teaching needs with the characteristics of the cloud space. Teaching cloud space is to carry out research from four dimensions: technology dimension, teaching dimension, discipline dimension and deep learning dimension, to realize the integration of technology and education and teaching ideas, and to build a personalized teaching cloud space. The research results show that the information-based teaching cloud space based on TPACK theory can improve the teaching of practical courses and stimulate students’ curiosity and enthusiasm for learning.
Laws for Glia Organization Conserved Across Mammals

The organizational principles of glia remain largely unknown despite their vital role in nervous system function. Previous work has shown that the number of glia per unit volume of neocortex is constant across mammalian species. We hypothesize that the conservation of glia volume density within brain regions might be a governing principle of organization across species. To test this hypothesis, we used stereology, light microscopy, and data available in the literature to examine five brain regions: the cerebral cortex and four brain regions that differ from the cerebral cortex and each other - the anterior piriform cortex, the posterior piriform cortex, the entorhinal cortex, and the cerebellum. We discovered two orderly relationships: First, glia volume density within a brain region was constant across species, including humans, although it significantly differed between regions, suggesting that glia density might constitute a region-specific marker. Second, the ratio of glia to neuron increased with brain volume according to a ¼ power law in the primate frontal cortex and the neocortex, the mammalian paleocortex, and the cerebellum. These relationships show that the development of glia and neurons are coupled, and suggest that what a neural circuit computes depends as much on its glial components as on its neurons. Main Points The volume density of glia (i.e., number of glia per unit volume) within a brain region is con-served across mammalian species including humans. The ratio of glia to neuron increases with bigger brains. The volume density of glia is significantly different across functionally and architecturally dif-ferent brain regions and could function as a region-specific marker. Glia obey scaling constraints that are different from scaling constraints for neurons.
Introduction to the Special Issue “Transnational care: Families confronting borders”

In this article, we introduce the key themes of our Special Issue on "Transnational care: families confronting borders". Central to this collection is the question of how family relations and solidarities are impacted by the current scenario of closed borders and increasingly restrictive migration regimes. This question is examined more specifically through the lens of care dynamics within transnational families and their (re-)configurations across diverse contexts marked by "immobilizing regimes of migration". We begin by presenting a brief overview of key concepts in the transnational families and caregiving literature that provides a foundation for the diverse cases explored in the articles, including refugees and asylum seekers in Germany and Finland, Polish facing Brexit in the UK, Latin American migrants transiting through Mexico, and restrictionist drifts in migration policies in Australia, Belgium and the UK. Drawing on this rich work, we identify two policy tools; namely temporality and exclusion, which appear to be particularly salient features of immobilizing regimes of migration that significantly influence care-related mobilities. We conclude with a discussion of how immobilizing regimes are putting transnational family solidarities in crisis, including in the context of the Covid-19 pandemic, gripping the globe at the time of writing.
The role of the surface smear microbiome in the development of defective smear on surface-ripened red-smear cheese

The complex smear microbiota colonizing the surface of red-smear cheese fundamentally impacts the ripening process, appearance and shelf life of cheese. To decipher the prokaryotic composition of the cheese smear microbiome, the surface of a semi-hard surface ripened cheese was studied post-ripening by culture-based and culture-independent molecular approaches. The aim was to detect potential bacterial alterations in the composition of the cheese smear microbiota resulting from cheese storage in vacuum film-prepackaging, which is often accompanied by the development of a surface smear defect. Next-generation sequencing of amplified 16S rRNA gene fragments revealed an unexpected high diversity of a total of 132 different genera from the domains Bacteria and Archaea on the cheese surface. Beside typical smear organisms, our study revealed the presence of several microorganisms so far not associated with cheese, but related to milk, farm and cheese dairy environments. A 16S ribosomal RNA based analysis from total RNA identified the major metabolically active populations in the cheese surface smear as Actinobacteria of the genera Corynebacterium, Brevibacterium, Brachybacterium and Agrococcus. Comparison of data on a higher phylogenetic level revealed distinct differences in the composition of the cheese smear microbiome from the different samples. While the proportions of Proteobacteria and Bacteroidetes were increased in the smear of prepacked samples and in particular in defective smear, staphylococci showed an opposite trend and turned out to be strongly decreased in defective smear. In conclusion, next-generation sequencing of amplified 16S rRNA genes and 16S rRNA from total RNA extracts provided a much deeper insight into the bacterial composition of the cheese smear microbiota. The observed shifts in the microbial composition of samples from defect surface smear suggest that certain members of the Proteobacteria contribute to the observed negative organoleptic properties of the surface smear of cheese after prepacking in plastic foil.
The Effectiveness of Investigation Based Multi Representation (IBMR) Model Learning with Contextual Approach to Improve Student Problem Solving Skill

This research aims to describe effectiveness of Investigation Based Multi Representation (IBMR) model learning device with contextual approach to improve student problem solving skill in State High School 18 Surabaya in material of Newton’s Law. The learning device is being developed using 4D design with one group pre-test post-test research design. The research data is obtained from result of pre-test and post-test of problem-solving skill, student activities during learning, and student responses after learning. Result of problem-solving skill is then being analyzed using n-gain test and paired t-test. Result of research shows that IBMR learning with contextual approach is effective to improve student problem-solving skill with medium category which is supported by student activities during learning that shows a very good result and student responses after learning is very positive.
A meta-analysis comparing four measurement methods to determine the relationship between methane emissions and dry-matter intake in New Zealand dairy cattle

Enteric methane (CH4) emissions and dry-matter intake (DMI) can be accurately and precisely measured in respiration chambers (RC), whereas automated head chambers (GreenFeed; GF) and the SF6 tracer method can provide estimates of CH4 emissions from grazing cattle. In New Zealand, most dairy cattle graze pasture and, under these conditions, DMI also has to be estimated. The objective of the current study was to compare the relationship between CH4 production and DMI of New Zealand dairy cattle fed forages using the following four measurement methods: RC with measured DMI (RC); sulfur hexafluoride (SF6) with measured DMI (SF6-DMI); SF6 with DMI estimated from prediction equations or indigestible markers (SF6); GF with measured or estimated DMI (GF). Data were collected from published literature from New Zealand trials with growing and lactating dairy cattle fed forage-based diets and data were analysed using a mixed-effect model. The intercept of the linear regression between CH4 production and DMI was not significantly different from zero and was omitted from the model. However, residual variance (observed–predicted values) increased with an increasing DMI, which was addressed by log-transforming CH4 per unit of DMI and this model was used for final data analysis. The accuracy of the four methods for predicting log CH4 per unit of DMI was similar (P = 0.55), but the precision (indicated by residuals) differed (P < 0.001) among methods. The residual standard deviations for SF6, GF and SF6-DMI were 4.6, 3.4 and 2.1 times greater than the residuals for RC. Hence, all methods enabled accurate prediction of CH4 per unit of DMI, but methodology for determining both CH4 and DMI affected their precision (residuals).
Anthropogenic and soil environmental drivers of arbuscular mycorrhizal community composition differ between grassland ecosystems

Interactions between arbuscular mycorrhizal fungi (AMF) and plants are sensitive to a myriad of underlying factors, including soil chemistry and land-use disturbances. Here we address how two grassland ecosystems (Ozark glades vs. tallgrass prairies) in south-central USA have been impacted by legacy effects from land-use disturbances (e.g., fire suppression in glades and tillage, fertilizer, row cropping, and grazing in prairies) and geological substrate (acidic versus calcareous bedrock). We surveyed AMF on the roots of two native generalist host species [Ruellia humilis Nutt. and Schizachyrium scoparium (Michx.) Nash] as well as plants randomly selected from the plant community. Glades on calcareous bedrock had a higher pH than those on acidic bedrock, and AMF communities on all three root sample types varied between acidic and calcareous bedrock locations. In prairies, both bedrock types had a similar soil pH, and AMF communities on all three root sample types varied across remnant and disturbed prairies. Shifts in AMF composition across land-use history included shifts in dominant AMF genera, and some unique rare AMF taxa were restricted to only calcareous glades or remnant prairies. Our findings suggest that reseeding prairie plant communities on cultivated lands does not restore AMF communities. Restoration projects need to address the soil environment and community.
EFFECT OF SODIUM CARBONATE, ERUCA SATIVA OIL, LAVENDER OIL AND ALOE VERA OIL ON LIVER IN BREAST CANCER INDUCED FEMALE RATS TREATED WITH DOXORUBICIN .

DiaaFarrag Ibrahim Ahmed. Zoology department, Faculty of science, Al Azhar university, Nasr city , Cairo, Egypt. Manuscript Info Abstract . Manuscript History Received: 15 August 2018 Final Accepted: 17 September 2018 Published: October 2018
Game Theoretic Training Enabled Deep Learning Solutions for Rapid Discovery of Satellite Behaviors

The chapter presents a game theoretic training model enabling a deep learning solution for rapid discovery of satellite behaviors from collected sensor data. The solution has two parts, namely, Part 1 and Part 2. Part 1 is a PE game model that enables data augmentation method, and Part 2 uses convolutional neural networks (CNNs) for satellite behavior classification. The sensor data are propagated with the various maneuver strategies from the proposed space game models. Under the PE game theoretic framework, various satellite behaviors are simulated to generate synthetic datasets with labels for the training to detect space object behaviors. To evaluate the performance of the proposed PE model, a CNN model is designed and implemented for satellite behavior classification. Python 3 and TensorFlow are used in this implementation. The simulation results show that the trained machine learning model can efficiently and correctly classify the satellite behaviors up to 99.8%.
Polymerization Domain Translated from 0.9 kb Gene Fragment of DNA Polymerase I from a Thermo-Halophilic PLS A Strain

The search for novel DNA Polymerases I, with higher fidelity and better polymerization rate, is essential to improve the Polymerase Chain Reaction method. A thermo-halophilic bacterium has been isolated from an undersea hot spring, dubbed Pria Laot Sabang (PLS) A strain. The 0.9 kb DNA Polymerase I gene fragments from the isolate were amplified, sequenced, and identified. The fragments were part of the polymerization domain of the enzyme. Homological analysis of the gene sequence showed that the PLS A strain was closely related to Bacillus caldolyticusstrain XM. However, Swissprot structural analysis reveals that PLS A strain had high homology to Geobacillus stearathermophilus. Full sequence analysis is still needed to identify the species and evaluate the intact enzyme structure.
Research on Influencing Factors of Online Shopping Under the Background of New Retail

This research focused on the emerging and existing important system information of e-commerce platform under the background of “new retail”. Based on the stimulus-organism Response model and related theories, a situational questionnaire was used to analyze the process of mutual influence of perceived trust and perceived commodity quality on consumers’ purchasing decisions. Through the questionnaire survey method, empirical analysis under the background of the new retail factors affecting consumer purchase intention, and get the following conclusions. (1) In the context of e-commerce platform, the information quality and offline service level of online shop we Media have an impact on consumers’ purchase intention through the perception of online shop trust. (2) The quality of product description and comments influences consumers’ purchase intention not only by perceiving the quality of products, but also by perceiving the trust of online stores. (3) Perceived online store trust and perceived commodity quality are antecedent variables affecting consumers’ shopping decisions, and perceived trust has a greater impact. 1
Fake News with Real Consequences: The Effect of Cultural Identity on the Perception of Science

Abstract Fake news and alternative science are increasingly popular topics of conversation in the public sphere and the classroom due to increasingly far-reaching social media and a shifting political climate. Promoting scientific literacy by providing opportunities for students to evaluate reports of contentious scientific issues and analyze the underlying factors that influence public perception of science is necessary for the development of an informed citizenry. This article describes a three-part learning activity useful for engaging biology students in evaluating the accuracy of science-related news reports, and reflecting upon the ways that social cues, religion, and political ideologies shape perception of science. These activities are appropriate for teaching about climate change, evolution, vaccines, and other important contemporary scientific issues in upper-level high school and undergraduate science courses.
Torque calculation of five-phase synchronous reluctance motors with shifted-asymmetrical-salient-poles under saturation condition

—In traditional analytical method (AM), the magnetic saturation is always ignored to simplify the calculation process. However, synchronous reluctance motors (SynRMs) often operate around saturation point to achieve higher torque density. Therefore, a new AM is proposed, in which the saturation of stator iron has been considered. The key of the proposed method includes a saturation factor, and an iterative method is adopted to compute the saturation factor in the SynRM by increasing the air-gap length. Especially, the proposed AM can be applied to a SynRM even with shifted-asymmetrical-salient-poles. In the process of AM, the expression of stator magnetomotive force (MMF) is built firstly. Additionally, the air-gap density including slotting effect and salient-poles is calculated. Then, the rotor MMF under saturation of the stator iron is obtained. Therefore, the precision of the instantaneous torque can be improved significantly. Eventually, by the verification of finite elements method (FEM) and experiments, the torque performance of SynRMs with shifted asymmetrical rotor can be predicted accurately by the proposed AM.
Screening for Phosphorus (P) Acquisition Efficient Genotypes and Identification of Sequence Variations among P-Efficient and Inefficient Genotypes in Chickpea (Cicer arietinum L.)

Low phosphorus (P) availability is the major abiotic constraint in chickpea (Cicer arietinum L.) cultivation across the globe as well as in India. Present study contemplated to identify high P-acquisition efficient chickpea genotypes suitable for P-deficient regions and sequence variation was detected among the tested P-acquisition efficient and inefficient genotypes. Initial screening was conducted with 104 diverse chickpea genotypes at two locations characterized by P-sufficient and deficient conditions. A panel of 14 chickpea genotypes having contrasting P-acquisition efficiency was extracted for further assessment under P-sufficient and deficient conditions. Along with the significant genetic variations, the P-efficient chickpea genotypes had high P-acquisition efficiency than P-inefficient genotypes in both the conditions. P-acquisition efficient genotypes recorded high biomass and good yield potential in P-deficient condition in comparison to P-inefficient genotypes. Sequence analysis of the CaSPX3 domain containing protein gene from P-acquisition efficient and inefficient genotypes identified two single nucleotide polymorphisms in the 5¢ - untranslated region. Present findings might be of great importance in future marker-assisted breeding in chickpea especially for P-deficient soil.
Optimization of Membrane Reverse Osmosis separation for Aqueous media characterized by High mineralization

The research highlights the issue of optimization of the membrane reverse osmosis separation for aqueous media characterized by high content of hardness salts. The pilot two-stage reverse osmosis plant was applied for the research. To improve the process of membrane reverse osmosis separation, antiscalants Avista Vitec 3000, Clarofos 381 and sodium tripolyphosphate were used. Waste water from a solid waste landfill, characterized by increased hardness, was used as the studied aqueous solution. The effectiveness of antiscalants impact on the process of membrane reverse osmosis separation was assessed basing on the membrane specific performance. The studies have shown that to select the right antiscalant, it is necessary to take into account the characteristics of the fed water composition, the operating mode of the membrane equipment and special requirements of the treatment technology.
Study of Closely Spaced Element on Field Correlation for mm-Wave MIMO Antenna Systems

The article has been investigated the correlation between adjacent antenna elements by using difference arrangements in mm-Wave MIMO antenna systems. The proposed two-element MIMO antenna has been operated for a dual-band frequency, which are 28 GHz and 38 GHz. The investigation can be achieved by four studied cases of the two- element antenna. This study found that CASE II obtained the lowest correlation (ECC < 0.001 dB), which has a low mutual coupling (35.07 dB and 28.56 dB) over the entire operating frequency (28 GHz and 38 GHz), respectively. Due to the arrangement of each element placed in perpendicular to each other that can be generated the radiation as orthogonal polarization. A two-port MIMO antenna has a compact size of 22×10×0.787 mm3 and has a quasi-omnidirectional that suitable for millimeter-wave (mm-Wave) in wireless communication systems.