Miracle-dz/UniFAR-FTUs huggingface dataset:
Indirect Vector Controlled Induction Motor Drive Better Performance and Analysis with A New Modified MPPT Controller in Interfacing with dSPACE DS 1104

-Due to the increase in power demand the earth natural resources are depleting day by day and renewable energy sources have become an important alternate and solar energy is mainly used. In order to track the radiations from the sun in an efficient manner the maximum power point tracking (MPPT) controller is used. But the existed MPPT controllers were developed based upon the ideal characteristics of constant irradiation and temperature. To overcome the above problem a practical data is considered for designing of MPPT controller which is based upon variable irradiance under variable temperatures. The output obtained from the MPPT is given to the boost converter with an inverter to find the performance of an indirect vector controlled induction motor drive under different operating conditions. For inverter control, a SVM algorithm in which the calculation of switching times is proportional to the instantaneous values of the reference phase voltage. It eliminates the calculation of sector and angle information. The torque ripple and the performance of induction motor drive with ideal and practical data with proposed MPPT are compared under different operating conditions. An experimental validation is carried out with the dSPACE DS 1104 and the comparison is made with the simulation results. Keywords-indirect vector controlled, induction motor drive, maximum power point tracking, space vector modulation, torque ripple, total harmonic distortion, variable irradiance and variable temperature.
VERSATILE ROUTING CALCULATION FOR DEADLOCK AVOIDANCE IN TORUS SYSTEMS UTILIZING VCT

— Gridlock (Deadlock) has been an expansive issue in torus systems. Endeavors to battle this issue have been met with shifting outcomes. If there should be an occurrence of stop in the system, information is sent Using Routing Calculation i.e. Versatile Routing Calculation by means of VCT (Virtual-Cut Through) in torus systems. Beforehand the information is sent from the source to destination without checking the execution of the hubs, which prompts halt in specific circumstances. As an endeavor of beating the downside, before sending the information parcels, the execution of the hubs is measured. The execution measures that are taken in to thought are battery, memory and versatility. The way is found utilizing Greedy Routing Algorithm, if the hub is free from halt the information is sent else the trade-off hub is made use with the assistance of Virtual-Cut through (VCT).
Effect of temperature on the occurrence of desmids in a lentic water body of Bhopal district, M.P. with reference to seasonal variation in the physico-chemical parameters.

The air pollution tolerance indices (APTI) of four plant species: Ficus religiosa, Polyalthia longifolia, Pterospernum acerifolium and Thevetia peruviana growing along roadsides at polluted site (Satwari-Bikram Chowk road) in Jammu city has been worked out and compared with the plants growing at the reference location (New University Campus) to categorize plants as sensitive or resistant. The plants were analysed for leaf relative water content (RWC), ascorbic acid content (AA), total leaf chlorophyll (T Ch) and leaf extract pH to compute the APTI values which indicated that all plants belong to sensitive category as per the index range given by Gaikwad et al. (2006). The values of all the studied biochemical parameters and APTI has been observed to decline in the plants growing at polluted sites in comparison to plants growing at reference site. However, among the plant species growing at polluted site, Ficus religiosa has been observed to be comparatively more tolerant against air pollutants with a maximum APTI value (4.76±0.16) whereas Pterospernum acerifolium is more sensitive to air pollutants with minimum APTI value (1.65±0.19). The order of tolerance among these plants has been observed to be: Ficus religiosa> Polyalthia longifolia> Thevetia peruviana> Pterospernum acerifolium. The result also indicated that combining variety of these parameters gave a more reliable result than those of individual parameter.
YTHDF1 rs6090311 A>G polymorphism reduces Hepatoblastoma risk: Evidence from a seven-center case-control study

Various factors modulate the risk of hepatoblastoma. In this study, we aimed to investigate whether single nucleotide polymorphisms (SNPs) in the YTHDF1 gene could predispose to hepatoblastoma. We used TaqMan assay to genotype two YTHDF1 SNPs (rs6011668 C>T and rs6090311 A>G) in a Chinese population composed of 313 subjects with hepatoblastoma and 1446 controls from seven hospitals. We then evaluated the associations of these two SNPs with hepatoblastoma risk using unconditional logistic regression. We found that rs6090311 G allele exhibited a significant association with decreased hepatoblastoma risk [AG vs. AA: adjusted odds ratio (OR)=0.75; 95% confidence interval (CI)=0.58-0.98, P=0.033; AG/GG vs. AA: adjusted OR=0.76, 95% CI=0.59-0.97, P=0.029]. Furthermore, the combined analysis of protective genotypes revealed that subjects carrying two protective genotypes were less likely to have hepatoblastoma than those with 0-1 protective genotypes (adjusted OR=0.75, 95% CI=0.59-0.96, P=0.022). Subjects ≥17 months of age had decreased hepatoblastoma risk, in case that they carried rs6090311 AG/GG (adjusted OR=0.63, 95% CI=0.44-0.91, P=0.012), or two protective genotypes (adjusted OR=0.63, 95% CI=0.44-0.91, P=0.012). False-positive report probability analysis validated the reliability of the significant results. Preliminary functional annotations revealed that rs6090311 G was correlated with decreased expression of its surrounding genes in the expression quantitative trait locus (eQTL) analysis. In conclusion, our results indicate that the rs6090311 A>G in the YTHDF1 gene is related to decreased hepatoblastoma risk.
Power Converter Design for Nanopower Applications

A typical energy-scavenging sensor node consists of a energy producer or scavenger, a storage element, and a load. The energy source can be a variety of things, for example, a solar cell, piezoelectric bender or thermoelectric generator. The storage element is typically either a battery (large capacity over a nearly-fixed voltage range) or a capacitor or ultra-capacitor (less capacity over a varying voltage). The electronic load will be a sensor or processor IC, running at a low, fixed voltage level.
DESIGN AND IMPLEMENTATION OF CROW SEARCH ALGORITHM TUNED MPPT CONTROLLER FOR GRID CONNECTED PV SYSTEM

This paper presents the Crow Search Algorithm (CSA) based Maximum Power Point Tracking (MPPT) scheme for solar PV system integrated with utility grid. Incremental conductance based MPPT is used in PV system and its limitations will be overcome by introducing Integral regulator at the grid side. In this work, CSA has been implemented to tune the gain values of the integral regulator at source side and that of the DC voltage regulator at grid side simultaneously based on an optimization criterion for minimizing power error in source side. The static and dynamic power tracking capability of the proposed technique is tested in MATLAB simulation under constant load with variable irradiation conditions.
The effect of short-term electromagnetic fields caused by mobile phones on the electrical activity of alpha and beta brain waves

DOI: 10.4328/ACAM.20220 Received: 2020-05-25 Accepted: 2020-06-24 Published Online: 2020-07-03 Printed: 2020-09-01 Ann Clin Anal Med 2020;11(5):474-478 Corresponding Author: Mehmet Cihan Yavaş, Department of Biophysics, Faculty of Medicine, Kırşehir Ahi Evran University, 40200, Kırşehir, Turkey. E-mail: mcihanyavas@ahievran.edu. tr P: +90 386 280 25 04 F: +90 386 280 39 17 Corresponding Author ORCID ID: https://orcid.org/0000-0002-2923-050X Abstract Aim: The widespread use of mobile phones by people is increasing in society. The effect of these areas on neurophysiological and EEG is intriguing. In this study, we aimed to investigate the effect of short-term cell phone-induced electromagnetic field on the electrical activity of the EEG alpha and beta bands in the human brain. Materials and Methods: The study was carried on twenty males divided into four groups such as Group 1: eyes closed (10 sec), Group 2: eyes open (10 sec), Group 3: phone exposure (3 min) and Group 4: control group (no phone, 3 min). Results: In our study, no significant change was observed in the EEG electrical activity of the alpha waves between mobile phone use and non-use (p>0.05). As a result of the analysis made for the beta waves, in the comparison between the group exposed to the mobile phone and the non-exposed group, there was a significant difference between the FFT max F and PSD max power parameters (p<0.05), and an insignificant difference between the FFT max value and PSD max F parameters was found (p>0.05). Discussion: The use of mobile phones can lead to some changes in the electrical activity of some bands of the brain.
GLUTAMINE SYNTHETASE IN MARINE ALGAE: NEW SURPRISES FROM AN OLD ENZYME

Glutamine synthetase (GS), which catalyzes the formation of glutamine from ammonium and glutamate in the presence of ATP, is encoded by three distinct gene families: GSI, GSII, and GSIII. Genes encoding GSI are found in the Bacteria and Archaea, whereas GSII genes are found in eukaryotes and a few species of Bacteria. Members of the third family, GSIII, have been described from a limited number of bacteria; however, recent biochemical and molecular data suggest that this type of enzyme is broadly distributed among the algae. Peptide fragments obtained from GS purified from the marine diatom Skeletonema costatum (Greville) Cleve are 77% identical to a partial sequence of GSIII from Chaetoceros compressum Lauder, which permits the unambiguous assignment of the biochemically characterized enzyme to the GSIII gene family. The N‐terminal sequence was 43% identical to the GSIII‐like enzyme purified from the haptophyte Emiliania huxleyi (Lohm.) Hay et Miller and several residues were conserved among bacterial and eukaryotic GSIII enzymes. The presence of genes encoding GSIII in diatoms and haptophytes indicates that this enzyme family is more broadly distributed in eukaryotes than previously suspected.
Unified Power Quality Conditioner Based on Neural-Network Controller for Mitigation of Voltage and Current Source Harmonics

– Unified Power Quality Conditioner (UPQC) consists of series and shunt active filter sharing a common dc bus capacitor. The series active filter minimizes voltage source harmonics. The shunt active filter is designed to decrease harmonic current-components generated by the nonlinear loads. Thus with compensating effectively all harmonics and reactive power improves power factor. For optimal mitigation of voltage/current source harmonics, a neural network is proposed to control the UPQC. The artificial neural network (ANN) controller has been designed to extract fundamental frequency components from non-sinusoidal. Three multilayer perceptron neural networks are used to identify and reduce the harmonics. A back-propagation algorithm trains this network. Simulation carried out by Matlab/Simulink and results verify the efficiency of the proposed UPQC.
Performance Analysis and MPPT Control of a Standalone Hybrid Power Generation System

-In this paper, a standalone Hybrid power generation system with improved power quality is proposed. The proposed system consisting of Wind energy conversion system (WECS), Diesel generator system, PV generation system and Battery energy storage system (BESS). A hybrid system consists of wind, solar PV, diesel generator, battery, and a controller. Tip Speed Ratio (TSR) control with Field Oriented Control (FOC), method was used for implementing Maximum Power Point Tracking (MPPT) for wind system, variable step Perturb & Observing (P&O) method for solar and optimum fuel consumption technique for Diesel engine. MATLAB/Simulink was used to build the model and simulate the system. The result shows the better performance of the system under the variation of input constraints as well as output constraints.
SELECTING MARINE RESERVES USING HABITATS AND SPECIES ASSEMBLAGES AS SURROGATES FOR BIOLOGICAL DIVERSITY

We compare the value of using habitat categories and species assemblages as surrogates for marine biological diversity in the context of choosing a set of representative areas for a marine reserve network. Habitat categories were based on interpretation of aerial photographs and maps, and on local knowledge. Species assemblages were created from comprehensive survey data on 977 taxa (mainly species), derived from an intensive three- year study of a temperate marine embayment, and classified into plant, fish, and invertebrate assemblages. Reserves were selected using a heuristic iterative algorithm to simulate a marine reserve network based on 10-80% representation of each surrogate. The effective- ness of each surrogate was evaluated by comparing the number of taxa that would be coincidentally included in each simulated reserve for the bay. Areas selected to represent 10% or 20% of the surrogates were best chosen using fish or invertebrate assemblages, because by spatial coincidence, they included 60-80% of all available taxa. However, areas selected to represent ? 40% of the surrogates were generally best derived from habitat categories, because they included ? 93% of all available taxa. Plant assemblages were generally poor surrogates for overall species richness. These findings suggest that habitat- level surrogates may be a highly cost-effective method for initial identification of high- priority areas to manage marine diversity of coastal ecosystems.
Fungal chemical defence alters density‐dependent foraging behaviour and success in a fungivorous soil arthropod

1. Aggregative behaviour in fungivorous soil arthropods is widespread; its adaptive value, however, is largely unknown. In this study, the spatial foraging behaviour of a collembolan, Folsomia candida, and the fitness consequences of feeding at different densities on the filamentous fungus Aspergillus nidulans were investigated. The effect of two fungal strains were compared; a wild‐type (wt) and a transgenic strain that lacks the ability to express the global secondary metabolite regulator LaeA (ΔlaeA).
Long Term Trends in the Discovery Of Marine Species New to Science Which Occur in Britain and Ireland

Marine species new to science continue to be discovered around Britain and Ireland. The number of marine species described each year was plotted against time for Pisces, Echinodermata, Anthozoa, Bivalvia, Decapoda, Gastropoda, Bryozoa, Tunicata, Medusozoa, Amphipoda, Porifera, Nudibranchia, Polychaeta, Copepoda, Oligochaeta, and Nematoda. Trends suggest that the latter four taxa in particular, in which individuals generally have a small body size, still have many species remaining to be described. More conspicuous taxa are better known, but new species continue to be described. Whilst the World Wars and advent of new scientific techniques do not appear to have had significant impacts on the general trends in discovery of new species, individual scientists have made major contributions.
Longtail tuna Thunnus tonggol (Bleeker, 1851) shows genetic partitioning across, but not within, basins of the Indo‐Pacific based on mitochondrial DNA

Summary Genetic stock structure is atypical in tuna species, with most species demonstrating geographically-broad, panmictic populations. Here, genetic data suggest a distinct pattern for Thunnus tonggol across the Indo-Pacific region. The genetic variation in the coastal tuna T. tonggol sampled from across the South China Sea was examined using the highly variable mitochondrial DNA displacement loop (D-loop) gene region. One hundred and thirty-nine specimens were sampled from four locations in Indonesia, Vietnam and the Philippines. Phylogenetic reconstruction of genetic relationships revealed no significant ɸST statistics and hence no population structure within the South China Sea. However, subsequent analysis with sequence data from coastal northwest India infers discrete genetic stocks between the Indian Ocean and the South China Sea. Consistent with previous genetic analyses of tuna species in the Indo-Pacific, the findings in this study infer no population structure within each basin, but rather show a significant partitioning across the wider region. Furthermore, these results have implications for the management of the commercially valuable Thunnus tonggol across national boundaries, and thus requiring collaboration among countries to ensure its sustainable use.
Grapevine bacterial canker in the State of São Paulo, Brazil: detection and eradication

Symptoms of bacterial canker of grapevine in the variety Red Globe were observed in August 2009 in an orchard at Tupi Paulista, Sao Paulo State, Brazil, and the causal agent Xanthomonas campestris pv. viticola was identified by pathological and molecular tests. Eradication procedure was adopted and approximately 4,700 plants were destroyed. A survey was conducted on grape-producing regions in the state of Sao Paulo, which found no other contaminated orchard, and this bacterial species is considered absent in the state.
Acyclic edge-coloring of planar graphs: $\Delta$ colors suffice when $\Delta$ is large

An \emph{acyclic edge-coloring} of a graph $G$ is a proper edge-coloring of $G$ such that the subgraph induced by any two color classes is acyclic. The \emph{acyclic chromatic index}, $\chi'_a(G)$, is the smallest number of colors allowing an acyclic edge-coloring of $G$. Clearly $\chi'_a(G)\ge \Delta(G)$ for every graph $G$. Cohen, Havet, and Muller conjectured that there exists a constant $M$ such that every planar graph with $\Delta(G)\ge M$ has $\chi'_a(G)=\Delta(G)$. We prove this conjecture.
Optimal management of groundwater extraction to control saltwater intrusion in multi-layered coastal aquifers using ensembles of adaptive neuro-fuzzy inference system

Regional scale management of coastal aquifers for control of saltwater intrusion is a challenging problem, requiring solution of optimization and simulation models. Simulation of density dependent nonlinear flow and transport processes in a coastal aquifer requires the solution of coupled flow and transport equations. Prescription of optimal spatial and temporal management strategy for coastal aquifers is possible by utilizing a linked simulation-optimization approach. However, such linked models require the iterative and numerical simulation of the flow and transport processes numerous number of times within an optimization algorithm. In order to ensure computational feasibility and efficiency, trained and tested surrogate models with acceptable accuracy and efficiency can be used as approximate simulators within an optimization algorithm. In this study, an efficient surrogate model based on ensemble of Adaptive Neuro-fuzzy Inference System (ANFIS) is developed and evaluated as an approximate simulator of the physical processes of a multi-layered coastal aquifer. The management of coastal aquifers is also multiple-objective in nature. Therefore, the developed surrogate model is linked to a Controlled Elitist Multi-objective Genetic Algorithm (CEMGA). Ensembles of the surrogate models (En-ANFIS) are utilized in order to incorporate uncertainties in prediction using surrogate models. The proposed simulation-optimization framework is implemented in a parallel computing platform to achieve further computational efficiency. The performance of the multi-objective management model is evaluated for an illustrative study area. The evaluation results indicate that ANFIS based ensemble-modelling approach together with CEMGA is able to evolve reliable strategies for this multiple objective management of coastal aquifers.
Shear‐Induced Inactivation of α‐Amylase in a Plain Shear Field

A newly developed shearing device was used to study shear‐induced inactivation of thermostable α‐amylase in a plain shear field, under conditions comparable to extrusion. The results show that the inactivation can be described well with a first‐order process, in which the inactivation energy largely depends on the shear stress, instead of specific mechanical energy or strain history. The resulting dependency of the rate of inactivation on the shear stress is very strong and nonlinear, which leads to the conclusion that in many cases the maximally applied shear stress determines the inactivation. Quantification of the inactivation rates gives design criteria for the application of enzymes in more viscous systems than conventionally used, provided that the reactor is designed such that no peak shear stresses occur.
Delay of Disease Development in Transgenic Petunia Plants Expressing Cucumber Mosaic Virus I17N-Satellite RNA

A cDNA clone of cucumber mosaic virus (CMV) 117N-satellite RNA driven by the cauliflower mosaic virus (CaMV) 35S transcript promoter, was stably integrated into the genome of Petunia hybrida 'Bluepicoti' tissues by Agrobacterium tumefaciens Ti plasmid-media ted transformation. Transgenic plants producing CMV satellite RNA showed delayed disease development when inoculated with CMV-Y, a helper virus for the I 17N-satellite RNA. Further- more, transgenic petunia plants showed delayed disease development against tobacco mosaic virus (TMV), a tobamovirus not related to CMV. Northern blot analysis revealed that large amounts of unit length satellite RNA (335 bp) were produced in CMV-infected transgenic petunia plants; whereas, mainly transcripts driven by the CaMV 35S promoter (approximately 1 kb) were produced in TMV-infected transgenic plants. SDS-PAGE and Western blotting showed that symptom reduction was correlated with a reduction in the amount of viral coat protein in transgenic plants.