bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPARATIVE STUDY OF BIOSORPTION OF METALLIC CATIONS BY DIFFERENT BACTERIA
Authors: Gavriloaiei T. , Mocanu Raluca , Calistru Maria , Olariu R.
Published: June 2021

Certain species of microorganisms have been found to accumulate surprisingly large quantities of important metals, involved in the toxicity provoked by human activities (Cd, Pb, Hg) and metals of economic values (Ag, Au). Microbiological methods are applied to large-scale recovery or removal of metallic ions from aqueous solutions. These applications involved the removal of heavy metals from sewage sludge, industrial effluents, and mine or wastewaters. This process has been developed using immobilized extracellular or cellular ligands or more simple chemical models based upon them. The uptake of metal ions on the cell surface and their translocations into the cell are well-known natural processes. These adsorption processes could be expressed using Langmuir isotherms. Fe2+ and Mn2+ appeared to .be the most effective cations for adsorption by Bacillus subtilis, Pseudomonas aeruginosa, even by Saccharomyces cerevisiae, while the Zn2+ cation, in spite of a great value of maximum adsorption, has a toxic action on microorganisms and the 'detoxification" mechanism depends on genetic control.
A TRIBUTE TO PROFESSOR LAVINEL G. IONESCU ON HIS 55th BIRTHDAY
Authors: Martinez A. D. , Kid B. J.
Published: June 2021

Professor Lavinel G. Ionescu was born of Romanian parents in Varset (Vrsac), Banat, Yugoslavia, on May l9, 1943. He attended primary and secondary school in Yugoslavia, Italy, and Switzerland. He obtained the Bachelor of Science Degree in Chemistry in l963 and the Master of Science Degree in l966 from the University of New Mexico, Albuquerque, USA, and the Ph.D. Degree in Physical Chemistry from New Mexico State University, Las Cruces, USA in l970. He did postdoctoral work at the University of California, Santa Barbara, and has held faculty positions at universities in the United States and Brazil. At the present, he is Professor of Chemistry at the Pontifícia Universidade Catolica do Rio Grande do Sul, Porto Alegre and the Universidade Luterana do Brasil, Canoas, RS, Brazil. His research work includes liquid scintillators, radioactive isotopes, noble gases, solution thermodynamics, surfactants and micelles, micellar catalysis, respiratory pigments, membrane models, and history and philosophy of science. He has trained more than fifty research scientists from different parts of the world, is the author of more than two hundred and fifty scientific works, and has been the recipient of many prizes and awards.
EFFECTIVENESS OF CERTAIN STABILIZERS ON THE AGEING OF POLYETHYLENE FILMS
Authors: JIPA S. , SETNESCU R. , SETNESCU T. , PODINA C. , MIHALCEA J.
Published: June 2021

The effectiveness of different phenolic antioxidants on high-density polyethylene (HDPE) and low-density polyethylene (LDPE) has been studied by the Isothermal chemiluminescence method. The decreasing order of the antioxidant efficiency for these polymers Is as follows: lrganox 1010 >> Etanox 330 > lrganox 1076 (Hostanox 016) > Topanol OC
DIFFERENTIAL PULSE POLAROGRAPHIC DETERMINATION OF ARSENIC IN BITUMINOUS COAL
Authors: Eurica M. Nogami , Gracinda M. Dalmeida , Nozaki Jorge
Published: June 2021

Differential pulse polarography was employed for the determination of arsenic in bituminous coal from Figueiras, Parana, Brazil. The dried coal sample was crushed to -100 mesh, ashed, and treated with reducing reagents in acidic media. The arsine generated was collected and selectively oxidized to Al +3 using an absorbing solution of 0.1 mol.L -1 [tris(hydroxymethyl) aminomethane] ( TRIS) and 0. 002 mol.L -1 silver nitrate. A solution of TRIS and hydrochloric acid, pH -1, was used as supporting electrolyte for differential pulse polarographic determination of Al+3 in the concentration range 0.05 -0.60 μglmL. The average arsenic concentration found was 69.0 ± 2.6 mg.kg -1 and was in agreement with the spectrophotometric method using silver-diethyldithiocarbamate-pyridine.
STUDY OF RENAL SORBITOLDEHYDROGENASE IN EXPERIMENTAL DIABETIC NEPHROPATHY
Authors: Pisoschi Catalina , Darie Virgil , Serban Mihai
Published: June 2021

The link between the polyol pathway and the ocular complications of diabetes mellitus is explained by the excessive storage of sorbitol and the release of osmotic stress. The renal complications could also be explained by the osmotic hypothesis, but the polyol pathway activity is reduced in this case. The study of sorbitol dehydrogenase (SDH) activity, one of the enzymes involved in the catabolism of glucose by this pathway in renal and hepatic homogenates from diabetic animals, shows a constant increase of the hepatic enzyme activity compared to that at the renal level. The different variations of the renal SDH activity can be explained by the effect of hyperglycemia on the active form of the enzyme and its inactivation by nonenzymatic glycosylation.
THE REACTION BETWEEN 2,2-DIPHENYL-1-PICRYLHYDRAZYL FREE STABLE RADICAL AND N-BROMOSUCCINIMIDE
Authors: Ionita Petre
Published: June 2021

The reactions of 2,2-diphenyl-1-picrylhydrazyl (DPPH) or 2,2-diphenyl-1-picrylhidrazine (DPPH-H) with N-bromosuccinimide (NBS) were studied. Two main compounds Br-DPPH and (Br)2 DPPH were obtained, by bromination of the starting material in para-phenyl position, and also a secondary product, N02 DPPH. It was shown that the reactions of NBS with DPPH include a substitution at the picryl group of PPH with liberation in situ of N02 (ipso-substitution of a nitro group with bromine) and subsequently N02 is scavenged by DPPH with the foundation of N02 DPPH.
Online Blood Bank
Authors: Kambe Ameya , Sheikh Arbaaz , Bhishma Nilisha , Khorgade Dr. Manisha
Published: June 2021

Out of 118.5 million blood donations collected globally, 40% are collected in high income countries which compromises 16% of the world’s population. The median annual donations per blood centre are very low in low-income countries as compared to high-income countries. In high-income countries, the median blood donation rate is 31.5 donations per 1000 people, 15.9 per 1000 people in upper-middle-income countries and five donations per 1000 people in low-income countries, which is very low when compared. This indicates there is a huge gap between demand and supply. Most of the patients, due to the lack of communication between the donor and the recipient do not receive the blood in time and this may cost them their lives. The necessity for synchronisation between blood donors, hospitals, and blood banks is critical. The usage of online web portals has made it easy for the public to access and connect to other people and organizations. Using a portal we will be able to make blood donors easily available for the receivers. An online web portal where the hospitals and blood banks are integrated will make it easy for the receivers to get access to blood.
Secure Voting System using Blockchain Technology
Authors: Nagure Prof. Shrikant , Pawar Kaustubh , Yadav Vedika , Yenpure Nikita , Gangawane Pratiksha
Published: June 2021

India is the world's biggest vote based system with a populace of more than 10 million; Casting a ballot is the extension between the represented and government. The most recent couple of years have welcomed a re-established center around to the innovation utilized in the democratic cycle. The current democratic framework has numerous security openings, and it is hard to demonstrate even basic security properties about them. A democratic framework that can be demonstrated right has numerous worries. There are a few explanations behind an administration to utilize electronic frameworks are to expand decisions exercises and to lessen the races costs. Still there is some extent of work in electronic democratic framework in light of the fact that it is extremely unlikely of distinguishing proof by the electronic democratic framework if the user is credible and getting electronic democratic machine from reprobates. The proposed framework is to build up a viable democratic machine with high security by utilizing Block-chain innovation to expand security and straight forwardness between the users.
IoT in Agriculture
Authors: B S Navya
Published: June 2021

The agriculture sector in India is facing a lot of problems due to lack of water supply, instability of monsoon primitive farming techniques. But since a few years the farming has undergone tremendous changes, and is becoming more technology driven, by adopting various smart agriculture techniques, farmers have obtained greater control over the process of growing crops. Therefore making agriculture more efficient and predictable. In this research paper, we will explore the IoT techniques that can be employ ed in agriculture and examine their benefits.
KrishiMitra: Innovative and Sustainable Approach Towards Site Specific Agriculture
Authors: Sayyad Tarannum , Poojari Shweta , Pawar Ritvika , Shinde Samrudhi , Magar Supriya
Published: June 2021

In recent years, there has been a significant development in precision agriculture. Technological advancements made in monitoring, supervision, management, and control framework have opened another period in which numerous conventional agrarian practices are outdated. Automated aerial vehicles end up being one of these methods and are broadly utilized across industries as more organizations begin to perceive its potential uses and scale of global reach. This research paper proposes the prototype of using a smart hexacopter for spraying the pesticides. It discusses the hardware and software application process, the flight of the drone is remotely controlled via an Android application which also includes a GPS Navigation System. This application allows the operator to select the points of the field through a map and thereby the hexacopter takes off then hovers and ultimately sprays the fertilizers on the destination location.
Calophyllum Oil Prospective as Alternate Fuel for Diesel Engine
Authors: P Shubham , W Shubham , R Chetan , S Rohit
Published: June 2021

Rapid depletion of fossil fuels, increasing fossil-fuel price, carbon price, and the quest of low carbon fuel for cleaner environment – these are the reason researchers are looking for alternatives of fossil fuels. Biodiesel is a gifted substitute as an alternative fuel has gained significant attention due to the predicted littleness of conventional fuels and environmental concern. The utilization of liquid fuels such as biodiesel produced from Calophyllum inophyllum oil by transesterification process represents one of the most promising options for the use of conventional fossil fuels. The Calophyllum inophyllum oil is converted into Calophyllum inophyllum methyl ester known as biodiesel processed in the presence of homogeneous acid catalyst. The physical properties such as Kinematic viscosity, Density, Calorific Value, Cetane number, Fire point and Flash point were found out for Calophyllum inophyllum methyl ester at different blends.
Handwritten Tamil Character Recognition Using Convolution Neural Network by Adam Optimizer
Authors: Iyswarya Mrs. R. , Deepak S. , Jagathratchagan P. , Kailash Jai
Published: June 2021

Optical Character Recognition is a widely used electronic method for recognition of handwritten images. Tamil handwritten character recognition is complex to recognize. Hence considerable research efforts have been taken in this field. The complexities of writers and the characters, structure over looping and unwanted character portions are the major challenges faced in Tamil characters. RGB to grayscale conversion, image complementation and structure morphing are enclosed in the preprocessing phase. The processed images are subject to recognition with optimized CNN. The connected layers are enhanced using ADAM optimizer for improvement of the standard. The accuracy and performance of the proposed work is compared with other models with certain performance measures.
Design and Analysis of Structural Folding Origami
Authors: Rao Pundru Srinivasa
Published: June 2021

The origami is transforming a flat sheet into some other shapes. It extends the mechanical properties of thin walled shells by introducing a local texture pattern, with surface features at a scale intermediate to the material and its structure. The primary application of local texture in thin-walled shells has been to increase the shell’s bending stiffness, their ability to absorb impact through plastic deformation of the texture pattern and in plane flexibility.
Effect of IMT-03, an Herbal Formulation in Cyclophosphamide-induced Immunosuppression in Mice
Authors: Sur Tapas Kumar , Hazra Avijit
Published: June 2021

Abstract: Immumomodulatory actions of natural ingredients have been recognized from the time of early civilization. Though herbal medicines are equally used to treat deadly diseases, but till date there are lacks of evidences. In the present work, an herbal preparation IMT-03 was used to find out its immunostimulatory efficacy against chemotherapeutics. Although, most of the individual ingredients present in IMT-03 have been reported for their protective roles against chemotherapeutics, but there is no report in combination. Cyclophosphamide (300 mg/kg, intraperitoneally) induces immunosuppression through myelosuppression. Pretreatment with of IMT-03 at oral the dose of 100 mg/kg and 200 mg/kg in Cyclophosphamide induced immunosuppressive mice showed dose dependently and significantly (p<0.001) improvement in total WBC and absolute neutrophil counts. It also protect the  general health of animals from chemotherapeutic induced serious adverse events like signs of sickness, lethargy, immobility, reducing food habit, infections in nostrils and pinna etc. Moreover, IMT-03 has the abilities to counter the macrophages surge during the LPS challenge. The test drug also showed safe up to the oral dose of 2 g/kg. In vitro studies revealed IMT-03 has polyphenols and also radical scavenging actions. There are several evidences that polyphenols can able to modulate cytokines and chemokines signaling pathways in immune cells. Therefore, it is assumed that polyphenols present in IMT-03 either modulate the inflammatory signaling pathways or protect from oxidative stress related DNA damage in myeloid tissues.
Comparative Studies on the Phytochemical Constituents and in vitro Antioxidant Activities of Methanol and Ethyl Acetate Leaf Extracts of Talium Trangulare
Authors: Oyeleke Oyedotun , Bamigboye Mutiat , Olowookere Boyede , Alabi Kehinde , Oladele Samuel , Oladele Johnson
Published: June 2021

Medicinal herbs have been known for their use as an alternative medicine in the management and treatment of different categories of diseases. The present study was designed to assess the phytochemical constituents present in methanol and ethylacetate leaves extract of Talium trangulare and its antioxidant potentials against free radicals comparatively. The functional groups of the phytochemicals were carried out using FTIR techniques while the phytochemical component of the extract was determined by standard methods. The comparative studies of antioxidant abilities of methanol and ethylacetate leaves extracts of Talium trangulare were evaluated by various antioxidant assays, including 1,1-diphenyl-2-picrylhydrazyl (DPPH), hydrogen peroxide, hydroxyl radicals, scavenging activities. These different antioxidant activities were compared with standard antioxidants compounds such as ascorbic acid and Gallic acid. The total phenolic content in ethylacetate extract is higher than what was obtained from methanol extract of Talium trangulare, however, methanol extract has higher tannins and flavonoids content. The methanol extract was found to have demonstrated high reduction capability and powerful free radical scavenging, especially against DPPH radical and hydrogen peroxide as compared with the ethylacetate leaves extract. The results that was obtained in the present study clearly established the antioxidant potency of both ethylacetate and methanol leaf extracts of Talium trangulare. The methanol extract shows better antioxidant activities and more flavonoids and tannin than the ethylacetate extract. In conclusion, the methanol leaf extract of Talium trangulare has comparatively better in vitro antioxidant potentials with corresponding phytochemical content than ethylacetate extract.
Risk Analysis of Setting up a Restaurant at NYC
Authors: Ellanki Santoshi Laxmi Reddy , Jenq John
Published: June 2021

In this report, a system was developed that can predict the outcome of opening a restaurant in NYC based on various NYC open data sets, such as 311 calls, New York Police crime records and restaurant rating data. The data sets were preprocessed and cleaned before analysis to improve the quality of our results.
Automatic Detection and Extraction of Lungs Cancer Nodules Using Connected Components Labeling and Distance Measure Based Classification
Authors: Monif Mamdouh , Mansour Kinan , Ammar Waad , Ammar Maan
Published: June 2021

We introduce in this paper a method for reliable automatic extraction of lung area from CT chest images with a wide variety of lungs image shapes by using Connected Components Labeling (CCL) technique with some morphological operations. The paper introduces also a method using the CCL technique with distance measure based classification for the efficient detection of lungs nodules from extracted lung area. We further tested our complete detection and extraction approach using a performance consistency check by applying it to lungs CT images of healthy persons (contain no nodules). The experimental results have shown that the performance of the method in all stages is high.
The Case for Error-Bounded Lossy Floating-Point Data Compression on Interconnection Networks
Authors: Hu Yao , Koibuchi Michihiro
Published: June 2021

Data compression virtually increases the effective network bandwidth on an interconnection network of parallel computers. Although a floating-point dataset is frequently exchanged between compute nodes in parallel applications, its compression ratio often becomes low when using simple lossless compression algorithms. In this study, we aggressively introduce a lossy compression algorithm for floating-point values on interconnection networks. We take an application-level compression for providing high portability: a source process compresses communication datasets at an MPI parallel program, and a destination process decompresses them. Since recent interconnection networks are latency-sensitive, sophisticated lossy compression techniques that introduce large compression overhead are not suitable for compressing communication data. In this context, we apply a linear predictor with the userdefined error bound to the compression of communication datasets. We design, implement, and evaluate the compression technique for the floating-point communication datasets generated in MPI parallel programs, i.e., Ping Pong, Himeno, K-means Clustering, and Fast Fourier Transform (FFT). The proposed compression technique achieves 2.4x, 6.6x, 4.3x and 2.7x compression ratio for Ping Pong, Himeno, K-means and FFT at the cost of the moderate decrease of quality of results (error bound is 10-4 ), thus achieving 2.1x, 1.7x, 2.0x and 2.4x speedup of the execution time, respectively. More generally, our cycle-accurate network simulation shows that a high compression ratio provides comparably low communication latency, and significantly improves effective network throughput on typical synthetic traffic patterns when compared to no data compression on a conventional interconnection network.
A Natural Logic for Artificial Intelligence, and its Risks and Benefits
Authors: Klima Gyula
Published: June 2021

This paper is a multidisciplinary project proposal, submitted in the hopes that it may garner enough interest to launch it with members of the AI research community along with linguists and philosophers of mind and language interested in constructing a semantics for a natural logic for AI. The paper outlines some of the major hurdles in the way of “semantics-driven” natural language processing based on standard predicate logic and sketches out the steps to be taken toward a “natural logic”, a semantic system explicitly defined on a well-regimented (but indefinitely expandable) fragment of a natural language that can, therefore, be “intelligently” processed by computers, using the semantic representations of the phrases of the fragment.
Double Multi-Head Attention-Based Capsule Network for Relation Classification
Authors: Heng Hongjun , Li Renjie
Published: June 2021

Semantic relation classification is an important task in the field of nature language processing. The existing neural network relation classification models introduce attention mechanism to increase the importance of significant features, but part of these attention models only have one head which is not enough to capture more distinctive fine-grained features. Models based on RNN (Recurrent Neural Network) usually use single-layer structure and have limited feature extraction capability. Current RNN-based capsule networks have problem of improper handling of noise which increase complexity of network. Therefore, we propose a capsule network relation classification model based on double multi-head attention. In this model, we introduce an auxiliary BiGRU (Bidirectional Gated Recurrent Unit) to make up for the lack of feature extraction performance of single BiGRU, improve the bilinear attention through double multihead mechanism to enable the model to obtain more information of sentence from different representation subspace and instantiate capsules with sentence-level features to alleviate noise impact. Experiments on the SemEval-2010 Task 8 benchmark dataset show that our model outperforms most of previous state-of-the-art neural network models and achieves the comparable performance with F1 score of 85.3% in capsule network.
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning
Authors: Yang Xin , Zhang Ning , Wang Donglin
Published: June 2021

The objective of this study is to derive functional networks for the autism spectrum disorder (ASD) population using the group ICA and dictionary learning model together and to classify ASD and typically developing (TD) participants using the functional connectivity calculated from the derived functional networks. In our experiments, the ASD functional networks were derived from resting-state functional magnetic resonance imaging (rs-fMRI) data. We downloaded a total of 120 training samples, including 58 ASD and 62 TD participants, which were obtained from the public repository: Autism Brain Imaging Data Exchange I (ABIDE I). Our methodology and results have five main parts. First, we utilize a group ICA model to extract functional networks from the ASD group and rank the top 20 regions of interest (ROIs). Second, we utilize a dictionary learning model to extract functional networks from the ASD group and rank the top 20 ROIs. Third, we merged the 40 selected ROIs from the two models together as the ASD functional networks. Fourth, we generate three corresponding masks based on the 20 selected ROIs from group ICA, the 20 ROIs selected from dictionary learning, and the 40 combined ROIs selected from both. Finally, we extract ROIs for all training samples using the above three masks, and the calculated functional connectivity was used as features for ASD and TD classification. The classification results showed that the functional networks derived from ICA and dictionary learning together outperform those derived from a single ICA model or a single dictionary learning model.
Effects of Nonlinear Functions on Knowledge Graph Convolutional Networks for Recommender Systems with Yelp Knowledge Graph
Authors: Wei Xing , Liu Jiangjiang
Published: June 2021

Knowledge Graph (KG) related recommendation method is advanced in dealing with cold start problems and sparse data. Knowledge Graph Convolutional Network (KGCN) is an end-to-end framework that has been proved to have the ability to capture latent item-entity features by mining their associated attributes on the KG. In KGCN, aggregator plays a key role for extracting information from the high-order structure. In this work, we proposed Knowledge Graph Processor (KGP) for pre-processing data and building corresponding knowledge graphs. A knowledge graph for the Yelp Open dataset was constructed with KGP. In addition, we investigated the impacts of various aggregators with three nonlinear functions on KGCN with Yelp Open dataset KG.
Malicious Node Detection in Smart Grid Networks
Authors: Y Al Yahmadi Faisal , R Ahmed Muhammad
Published: June 2021

Many countries around the world are implementing smart grids and smart meters. Malicious users that have moderate level of computer knowledge can manipulate smart meters and launch cyber-attacks. This poses cyber threats to network operators and government security. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we propose a model based on software that detects malicious nodes in a smart grid network. The model collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) model is implemented to classify nodes into good or malicious nodes by (high dimensional) giving the statues of 1 for good nodes and status of -1 for malicious (abnormal) nodes. The detection model also displays the network graphically as well as the data table. Moreover, this model displays the detection error in each cycle. It has a very low false alarm rate (2%) and a high detection rate as high as (98%). Future developments can trace the attack origin to eliminate or block the attack source minimizing losses before human control arrives.
Comparative Analysis of Quality of Service Scheduling Classes in Mobile Ad-Hoc Networks
Authors: Phakathi Thulani , Esiefarienrhe Bukohwo Michael , Lugayizi Francis
Published: June 2021

Quality of Service (QoS) is now regarded as a requirement for all networks in managing resources like bandwidth and avoidance of network impairments like packet loss, jitter, and delay. Media transfer or streaming would be virtually impossible if QoS parameters were not used even if the streaming protocols were perfectly designed. QoS Scheduling classes help in network traffic optimization and the priority management of packets. This paper presents an analysis of QoS scheduling classes using video traffic in a MANET. The main objective was to identify a scheduling class that provides better QoS for video streaming. A simulation was conducted using NetSim and results were analyzed according to throughput, jitter, and delay. The overall results showed that extended real-time Polling Service (ertPS) outperformed the other classes. ertPS has hybrid features of both real-time Polling Service (rtPS) and Unsolicited Grant Service(UGS) hence the enhanced performance. It is recommended that ertPS scheduling class should be used in MANET where QoS consideration is utmost particularly in multimedia streaming applications.
RUNOFF ESTIMATION IN URBAN CATCHMENT USING ARTIFICIAL NEURAL NETWORK MODELS
Authors: Motamedvaziri Baharak , Motamedvaziri Baharak , Motamedvaziri Baharak , Najafi Payam
Published: June 2021

Many types of physical models have been developed for runoff estimation with successful results. However, accurate estimation of runoff remains a challenging problem owing to the lack of field data and the complexity of its hydrological process. In this paper, a machine learning method for runoff estimation is presented as an alternative approach to the physical model. Various types of input variables and artificial neural network (ANN) architectures were examined in this study. Results showed that a two-layer network with the tansig activation function and the Levenberg–Marquardt learning algorithm performed the best. For this architecture, the most effective input vector consists of a catchment perimeter, canal length, slope, runoff coefficient, and rainfall intensity. However, results of multivariate analysis of variance indicated the significant interaction effect of input data and the ANN architecture. Thus, to create a suitable ANN model for runoff estimation, a systematic determination of the input vector is necessary
EVALUATION OF SALINITY STRESS EFFECTS ON CHANGES IN PHOTOSYNTHETIC PIGMENTS, HYDROGEN PEROXIDE AND OSMOLYTES IN SENSITIVE AND TOLERANT CULTIVARS OF WHEAT CROP
Authors: Khodavirdivand Keshtiban Rasoul , Soltanloo Hassan , Sanaz Ramazanpour Seyedeh , Shariati Vahid , Shariati Vahid
Published: June 2021

Investigation of wheat response to salinity stress can help to better understand the effective defense mechanisms of salinity stress tolerance. For this purpose, biochemical and physiological traits related to salinity tolerance in wheat cultivars were evaluated at Gorgan University of Agricultural Sciences and Natural Resources in 2019. Experimental factors, included two wheat crop cultivars (Sarc and Chinese spring as tolerant and susceptible wheat cultivars, respectively) and sampling time series (zero or control, 24, 48, 72, and 96 h) were examined in a factorial experiment based on a completely randomized design with three replications. Salinity stress was applied with sodium chloride at a concentration of 250 mM to uniform 10-day-old seedlings at the two-leaf stage, followed by sampling of shoot tissue. The studied traits were hydrogen peroxide (H2O2 ), chlorophyll a, chlorophyll b, total chlorophyll, chlorophyllase, carotenoids, proline, and total carbohydrates. Results of analysis of variance (ANOVA) indicated significant effects of genotype, time, and interaction of genotype × time (except H2O2 and total carbohydrates) on all the studied traits. Results of interaction of genotype × time showed although the trend of changes in the studied traits, depending on the type of cultivar and the sampling time were different, but generally, the susceptible Chinese spring cultivar contained higher levels of chlorophyllase and carotenoids than the control time at the end of sampling time and also higher H2O2 levels than the Sarc tolerant cultivar, while the Sarc tolerant cultivar, on the other hand, contained higher levels of chlorophyll a, chlorophyll b, total chlorophyll, and proline than the control time at the end of sampling time and also greater total carbohydrates than the susceptible Chinese spring cultivar. The results confirm the higher capacity of the antioxidant defense system of Sarc tolerant cultivar than the susceptible Chinese spring cultivar. Therefore
MODELING EDUCATION TO DEVELOP RESISTIVE ECONOMICS IN AGRICULTURAL ECONOMY IN IRAN
Authors: Seyedan Neda , Malek Mohammadi Iraj , Jamal Farajolah Hoseini Saied , Moghaddasi Reza
Published: June 2021

The disruption of the economy has many problems for society .As a result all countries in the world are seeking to achieve improvements in productivity, So that they can get more productive by consuming lesser resources. This article is intended to explain modeling Agricultural Extension, in the Resistive Economics of the Islamic Republic of Iran and the presentation of the paradigm model has been done with the help of the Grounded theory, the factors influencing the formation of agricultural modeling in the resistive economics, have been identified and the paradigm model of resistance economy in agriculture. The overall approach to this research is qualitative and for the analysis of qualitative data Grounded theory, has been used in which 21 experts and pundits in the field of agriculture and economics sampling, through theoretical sampling method. Data were collected by semi-structured interview and was coded for data analysis using MAXQDA12 software. In this study, a total of 122 codes, 34 categories and 4 main categories, were extracted. The main category include: the weaknesses and Strengths points, the opportunities and threats of the agricultural sector, the promotion of agriculture, and the meaning of resilient economy, according to experts. The results showed that the most important factor of economic deterrent in agriculture: (High cost of production) and the most important factors leading the economy are agriculture (planning the right policies for macroeconomics), and for factor of resistive economics and the concept that has the greatest impact on creating (this factor domestic economic), To influence role of resistance in agriculture (provision of food was achieved through agriculture).
KNOWLEDGE LEVEL OF AGRICULTURAL PERSONNEL WORKING IN AGRICULTURAL BRANCHES IN NINEVEH GOVERNORATE AGRICULTURAL DIRECTORATE IN THE FIELD OF RURAL DEVELOPMENT
Authors: AwadTalbAltalb Ahmad , Mohammad Ramadhan Al-Badrany Yusra
Published: June 2021

The research aims at identifying the level of knowledge in the field of rural development of the agricultural personnel in Nineveh governorate in general, and in all fields of the research which included cultural, economic, social, agricultural and health fields, and then to find the correlation between the level of that knowledge of the agricultural personnel and each of the following independent variables (age, gender, educational level, specialty, origin, years of service in the agricultural departments and participation in study courses), and finally, to arrange the fields of research according to the weight percentage of that field. The study included all the agricultural personnel in the agricultural divisions of Nineveh Directorate of Agriculture and their number was (186) employees among which a simple random sample was chosen of 75% (i.e. 100 employees), after excluding (30) employees that were included in the measurement of the stability of the research’s criterion. For the purpose of collecting research data, a questionnaire form was prepared consisting of three parts; the first part included a number of independent variables, and the second part included (80) items to measure the knowledge of agricultural personnel distributed over five fields having to do with the rural development process, including each of (cultural, economic, social, agricultural and health fields). After verifying the apparent credibility and content credibility, the questionnaire was subjected to a preliminary test, and stability was measured using split half reliability method; the stability coefficient was (0.93) after correction with Spearman- Brown formula.The results of the study showed that the knowledge level of the said personnel in the rural development process in general was high. The results also showed that the level of knowledge of those personnel in the(cultural, economic, social, agricultural and heath) fields was also high. The results also showed that there is a po
Del tianguis a lo virtual. Análisis comparativo de cinco aplicaciones para la venta de alimentos en México
Authors: Olmedo Neri Raúl Anthony
Published: June 2021

El distanciamiento social y el confinamiento derivado del contexto pandémico ha profundizado el uso y desarrollo de aplicaciones para continuar actividades relevantes como la compra y venta de productos agroalimentarios.
Por ello, este trabajo tiene como objetivo analizar dos aplicaciones comerciales (Smattcom y Jüsto) y tres de origen gubernamental (Mercados, Produce y Padrón de Productores) desarrolladas para la compraventa de alimentos por Internet en México, con la finalidad de identificar sus características operativas, sus implicaciones económicas hacia los productores y la percepción social sobre su utilidad.
Se emplea la Economía Política de la Comunicación como marco teórico para explicar la función económica de las aplicaciones y cómo ayudan o someten a los productores agropecuarios mexicanos. De ahí la importancia del análisis comparativo como metodología para identificar sus retos y beneficios.
Entre los resultados destaca que las aplicaciones comerciales se instalan como intermediarias en el ciclo de producción que se digitaliza; aunque implican el cobro en especie o monetario a los productores para comercializar sus productos, ellos aceptan porque el número de descargas mantiene o incrementa sus posibilidades de venta durante la pandemia.
FEATURES OF PROFESSIONAL QUALITIES OF A PSYCHOLOGIST
Authors:   Abay Kazakh National Pedagogical University, Almaty, Kazakhstan, Zhigitbekova B.D.
Published: June 2021

At the present stage, professionally important approaches of psychologists play an important role in their training in higher education institutions. The level of development of professionally important qualities is the main condition for satisfaction with your profession. Competent preparation of psychological characteristics of specialties of psychologists, drawing up a psychogram based on this characteristic implies professional training of future specialists-psychologists for their profession. Based on these opinions, in the work of a psychologist, we proceed from the most important personal qualities, such as empathy (joint impression), sociability (sociability), sense of responsibility, dependence (independence), emotional stability, ability to listen, high intelligence, creativity and reflection.
ADAPTATION OF "RESEARCH OF COGNITIVE AND ACTIVE STYLE" TECHNIQUE BY REBECCA L. INTO KAZAKH LANGUAGE
Authors:   «Turan» University, Almaty, Kazakhstan, Kassymzhanova A. , Аkhan K. ,   «Turan» University, Almaty, Kazakhstan
Published: June 2021

The concept of "cognitive-activity style" has appeared in psychological science in recent years. This concept, in comparison with the concept of “cognitive style”, considers the individual personality traits much more broadly and defines the cognitive ways of perception, thinking, and interaction deeper. If we bear in mind the fact that the style is reflected in various psychological phenomena (perception, memory, thinking, activity, interaction, etc.), then the cognitive-activity approach can be considered as a system of methods for cognitive analysis of the results of actions, that are defined as ordinary. The article is devoted to the results of translation and adaptation into the Kazakh language of the methodology “Research on cognitive-activity style” (in some sources “Analytical review of the educational style”) by L. Rebecca, American scientist, professor at Oxford University of Alabama. The purpose of the investigation is the formation of a Kazakh-language version of the psycho-diagnostic tools used in English and Russian, contributing to the replenishment of the psycho-diagnostic fund in the Kazakh language. The methodology “The study of cognitive-activity style” by L. Rebecca was translated into Kazakh, the calculation was made using the SPSS program of the level of reliability (according to the Kronbach coefficient). The proposed technique can be used by scientists, psychologists, and psychological educators in the Kazakh language on the study of the cognitive-activity approach.
RESEARCH OF THE DEGREE OF STRESS RESISTANCE OF STUDENTS (ON THE EXAMPLE OF HUMANITIES AND TECHNICAL SPECIALTIES)
Authors:   Karaganda State University named after Academician Y.A.Buketov Karaghandy, Kazakhstan, Mandykayeva A.R. , Zhanserikova D.A. ,   Karaganda State University named after Academician Y.A.Buketov Karaghandy, Kazakhstan, Moldabayeva R. A. ,   Karaganda State University named after Academician Y.A.Buketov Karaghandy, Kazakhstan, Smagulova K.D. ,   Karaganda State University named after Academician Y.A.Buketov Karaghandy, Kazakhstan
Published: June 2021

The article discusses the features of stress tolerance of students of Humanities and technical specialties. Features of stress resistance of students of Humanities and technical specialties were studied by S. Cohen and G. Willianson "Self-assessment of stress resistance" and the Boston tests. The results obtained are compared using the Student t-criterion.
ANALYSIS OF THE DEVELOPMENT OF STUDENT VALUE SYSTEMS IN DIFFERENT COURSES OF STUDY
Authors:   «Turan»University Almaty, Kazakhstan, Mardanova Sh. , Mohammad Z. ,   «Turan»University Almaty, Kazakhstan
Published: June 2021

This article explores the system of students' values in different courses of study. It is determined that values form a complex, dynamic structure, changing under the influence of various factors. Transformation of socio-economic, political, cultural, spiritual and moral conditions, age and personality changes determine the transformation of the value system.The main objective of the research was to study the dynamics of the students' value system in different courses. The study found that the prevailing values in the hierarchy of the system of students' life values in all three courses are those related to education, social activity and hobbies. This result is explained by the fact that students, as a social community, are a group aimed at acquiring professional knowledge, skills, development of professional competence and preparation for independent working life. Student community is a socially oriented, socially active group. It has been revealed that the value priorities of students in different courses differ in their orientation. The students of the 2nd year are aimed at self-development, achievements and creativity. The 3rd year students want to get spiritual satisfaction, as well as think about the high financial situation. Students in the 4th year are looking for material well-being, spiritual satisfaction and active social contacts in professional life and social activies
ANXIETY OF THE PERSONEMOTIONAL STATUS
Authors:   Turan-Astana University Nur-Sultan, Kazakhstan, Irgebaeva N.M. , Akmusaeva M.I. ,   Civil Aviation Academy Almaty, Kazakhstan
Published: June 2021

The article considers the impact of anxiety on the qualitative characteristics of man and the problems of his theoretical research in the field of psychology.Theconcept of anxiety in psychology is the ability of a person to feel different discomforts depending on the experience in different situations. Everyone has a level of anxiety called temporary and normal. If a person wants, he can overcome it. And if anxiety persists for a long time, it will not be able to cope on its own, and this will have a negative impact on human health and disrupt normalcy. Increased levels of anxiety, along with the emergence of various diseases, lead to a significant decline in quality of life. There are psychological and physiological manifestations of anxiety, which are determined by certain methods in science. The most obvious of the psychological symptoms -obscure problems -unjustified tense experiences.In psychology, anxiety is an emotional state with a negative connotation. Anxiety is characterized by the expectation of something negative, such as an adverse outcome or adverse outcome. Anxiety is a person's experience in different situations (joy, sorrow, shame, anger, fear, etc.). Anxiety is associated with a mental state, which is a person's emotional state and various feelings that indicate anxiety. Anxiety is associated with a mental state, which is a person's emotional state and various feelings that indicate anxiety. Forexample: confusion, anxiety, excitement, indifference, impatience, delay, etc. There are other meanings of the mental state of anxiety, which are: depression -a shameful mental state accompanied by anxiety; Propaganda is a phenomenon that takes place notonly in a state of anxiety, but also in a state of anger and rage; grief is a state of mind accompanied by anxiety, worry, grief, mental state is a state of mind, violence is a state of mind, grief accompanied by long-term anxiety, etc., so anxiety is a double state of mind.
CURRENT ISSUES IN THE FORMATION OF ICT COMPETENCIES OF FUTURE TEACHERS IN THE PROCESS OF PROFESSIONAL TRAINING AT UNIVERSITIES
Authors:   H.Dosmukhamedov Atyrau state University Atyrau, Kazakhstan, Damuov N.G. , Mukhambetzhanova A.U. ,   H.Dosmukhamedov Atyrau state University Atyrau, Kazakhstan, Bazargaliev G.B. ,   H.Dosmukhamedov Atyrau state University Atyrau, Kazakhstan, Kengesbaeva T.О. ,   H.Dosmukhamedov Atyrau state University Atyrau, Kazakhstan
Published: June 2021

The article deals with one of the urgent problems of modern global Informatization -the formation of ICT competence of future teachers in the process of professional training in higher education. The authors comprehensively analyzed the scientific and theoretical literature, research papers on the research topic, and revealed its psychological aspects. In particular, from the point of view of today in the process of professional training of specialists, the current problems of forming the ICT competence of future teachers are revealed, especially the composition of information and communication competence, the place of competence as a psychosocial quality that can ensure human achievements in the professional and personal sphere are more widely covered. It is also stated that the educational process at the University, aimed at forming the ICT competence of future teachers, should be provided with an educational environment that promotes the activation of cognitive activity of students, the development of creative abilities, training and the desire for self-development.
PROBLEMS OF PROVIDING PSYCHOLOGICAL SERVICES IN EMERGENCY SITUATIONS
Authors:   Abay Kazakh National Pedagogical University, Almaty, Kazakhstan, Mombieva G. A. , Abdrakhmanov Zh. ,   International humanitarian and Technical University, Shymkent, Kazakhstan 3m. South, Ainabek S. B. ,   Kazakhstan State University named after Auezov, Shymkent, Kazakhstan
Published: June 2021

This article analyzes various complex situations (emergency, extreme situation, pandemic, etc.), psychological effects on human life, its manifestations and ways of prevention, types of mental disorders, examples of events occurring in the world and in your country. In addition, various information and characteristics about the emergency, extreme situation, and pandemic are provided. The analysis of the types of psychological difficulties that may arise in victims of emergency situations and provide them with assistance. The results of a psychological survey conducted after the pandemic are presented. Analyzing various studies, this article describes that the sphere of providing domestic psychological services still requires improvement and development of psychological assistance in extreme situation
TESTING METHOD FOR EVALUATING ACADEMIC ACHIEVEMENTS OF STUDENTS WITH OOP IN INCLUSIVE EDUCATION
Authors:   Abay Kazakh National Pedagogical University (Almaty, Kazakhstan), Autaeva A. N. , Satova A. K. ,   Abay Kazakh National Pedagogical University (Almaty, Kazakhstan), Butabayeva L. A. ,   Abay Kazakh National Pedagogical University (Almaty, Kazakhstan), Bulabayeva S. T. ,   Abay Kazakh National Pedagogical University (Almaty, Kazakhstan), Sardarova Z. O. ,   Abay Kazakh National Pedagogical University (Almaty, Kazakhstan)
Published: June 2021

Assessment is the process of collecting data to make decisions about students. It is crucial that this is done correctly, and that those who evaluate students do so with technical precision, accuracy, and integrity.A test is a pre-defined set of questions or tasks that are searched for predefined types of behavioral responses. Tests are especially useful because they allow each person tested to askthe same tasks and questions for the test. Because the tester identifies and evaluates behavior in a pre-defined and consistent way, they can compare the characteristics of several different test subjects. Tests provide two types of information -quantitative and qualitative. Quantitative data is the actual scores obtained from the test. Qualitative data consists of other observations made during the student's testing; they tell us whether the students achieved the grade. The article discusses the use of the testing method