bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship between Adult's Need for Approval and Social-Anxiety: The Double Mediating Effects of Emotional Clarity and Self-Compassion
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Han sohee , Park Youngsun
Published: June 2022

Objectives The purpose of this study is to examine the double mediating effects of emotional clarity and self-compassion in the relationship between adult's need for approval and social-anxiety.
Methods For this purpose, 488 adults from 20s to 40s across the country who understood the purpose of the study and agreed to participate in the study from April 1 to 30, 2021 were surveyed online on need for approval, social anxiety, emotional clarity, and self-compassion. The collected data were analyzed using SPSS v.22.0 to analyze descriptive statistics and correlation, and using SPSS Process v.2.16 Macro Model 6 to verify the mediating effect of emotional clarity and self-compassion on the relationship between the need for approval and social-anxiety.
Results First, the correlation between the variables, Need for approval was a static correlation with social-anxiety and was a negative correlation with emotional clarity and self-compassion. Emotional clarity was a static correlation with self-compassion and was a negative correlation with social-anxiety. Self-compassion was a negative correlation with social-anxiety. Second, emotional clarity mediated the relationship between adult's need for approval and social-anxiety. Third, self-compassion mediated the relationship between adult's need for approval and social-anxiety. Forth, emotional clarity and self-compassion sequentially mediated the relationship between adult's need for approval and social-anxiety. Based on these results, the implications, limitations of this study were discussed.
Conclusions Based on these results, It was discussed that emotional clarity and self-compassion should be improved in adult’s social-anxiety intervention.
The mediating effect of communication skills on the relationship between collaborative self-regulation, collaborative self-efficacy, team efficacy, and problem solving skills in university students learning community activities
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Mee Jung , Park Sung Hee
Published: June 2022

Objectives This study examines the mediating effect of communication skills on the relationship between learners' collaborative self-regulation, collaborative self-efficacy, team efficacy, and problem solving skills in order to promote learning outcomes and find efficient support measures in university students' learning community activities.
Methods To this end, data were collected and analyzed from 509 university students who participated in the learning community program operated in the 2021-1 semester at the A University Center for Teaching and Learning in Gyeonggi-do. Mediated regression analysis was conducted to find out whether communication skills mediates the relationship between collaborative self-regulation, collaborative self-efficacy, team efficacy, and problem solving skills. In addition, Sobel test was used to test the significance of the mediation effect.
Results As a result of the study, it was found that communication skills had a partial mediating effect in the relationship between collaborative self-regulation, collaborative self-efficacy, and team efficacy. In addition, it was found that communication skills had a partial mediating effect in the relationship between collaborative self-regulation, collaborative self-efficacy, and problem solving skills.
Conclusions Base on the research results, it was identified that the collaborative competencies of learners in the learning community activities of university students are effective in enhancing learning outcomes and developing core competencies. In addition, it was confirmed that communication skills is an important factor in learning community activities. It emphasizes the need for support to increase the level of learners' interaction, collaborative competency, and communication skills in learning community activities.
A Study on Daegu and Kyungpook Primary and Secondary School Teachers’ Perception and their Education Needs of Convergence Classes
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ku Keong Yeun
Published: June 2022

Objectives The purposes of this study were to investigate the education needs of convergence competences needed in implementing the convergence lessons in the primary and the secondary school classroom by analyzing the importance of individual components in a convergence competence model and the level of the competences the teachers have.
Methods To achieve the study goal, using a Snowball sampling, primary and second school teachers in Daegu and Kyungpook were requested to respond to 30 questions through Google Forms. A total of 236 responses were analyzed using a descriptive data and an independent samples t-test, and education needs were calculated with a Borich’s formula to produce the degree of education needs.
Results First, to implement the convergence classes in their classroom, the primary and the secondary school teachers in Daegu and Kyungpook perceived the class design and management competence to be the most important, and the willlingness and attitude competence, the collaboration and communication competence, and the ICT use competence were important in that order. Second, the teachers evaluated themselves as having the best class design and management competence and the willingness and attitude competence in applying convergence classes in their classroom, while their ICT use competence and the collaboration and communication competence were evaluated relatively low, compared to the other two competences.
Conclusions Based on the results of the education needs analysis, the most necessary component in the teacher training program was to develop the class design and management competence and their collaboration and communication competence. Among the sub-components of these competences, the demand for administrative and financial support through communication with school administrators was the greatest, and it meant that there is a high need for training school administrators as well as school teachers to apply the convergence classes in schools. Finally, the findings of the study contributed to providing a guideline to the teacher education programs for the successful implementation of the convergence classes in their classroom.
대학의 구조 조정이 원어민과 비원어민 영어교육자의 고용 구도에 미친 영향
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Oh Kyung-Ae , Lee Jeong-Ah
Published: June 2022

Objectives The study aimed to investigate how the restructuring of higher education in Korea influenced contingent faculty, in particular, NESTs and NNESTs.
Methods Laws relevant to academic labor from 2005 to 2019 were collected and analyzed, and the educational statistics were also collected and analyzed to support the results of the analysis of the laws. Furthermore, five NESTS and five NNESTs were interviewed to provide the contexts to the quantitative data.
Results The results reveal that 1) despite their original intentions, the laws negatively influenced contingent faculty in higher education, 2) the personal and professional lives of NESTs and NNESTs were affected by social-structural constraints, and 3) as a result, the competition between NESTs and NNESTs for reduced job openings grew, and individuals struggled to secure their position in the academic job market.
Conclusions The findings imply that the problems that contingent faculty face are not individual problems but social-structural problems, so educational administrators and the Ministry of Education should work on preventing the academic job market from becoming more competitive than necessary. Contingent faculty also need to be aware that individuals have power to bring about change.
Analysis, modelling and forecasting of crop yields using artificial neural networks
Authors: Bischokov Ruslan M.
Published: June 2022

The article gives information about the attempt made to select configurations, train and test artificial neural networks for predicting yields of grain crops considering of climate changes. Peculiarities of agricultural production require constant improvement of methods for analyzing crop yields, time series, and longterm climatic characteristics. Preliminary statistical evaluation of the considered time series made it possible to identify certain patterns. Time series were divided into four intervals: for building a network, its training, testing and control. During the construction of artificial neural networks, three models were used: MLP - multilayer perceptron, RBF - r adial basis functions and GRNN - g eneralized regression neural network. Based on the results of the construction, the best model was chosen. The sum of active air temperatures and the sum of precipitation for the growing season was used for artificial neural networks at the input, and the crop yield was used at the output. The use of sets of neural systems, generated automatically, contributed to the effective forecasting of crop yields based on the analysis of climate data. As a result, according to the selected model, a yield forecast was made for the coming years considering climatic characteristics.
Effects of various pre-sowing treatments on invitro seed germination of Ceratoniasiliqua L.
Authors: Duksi Fatima
Published: June 2022

The organic dormancy of Ceratonia seeds is associated with their water resistance, which means that Carob suffers from difficulty in natural regeneration. Before planting Carob seeds must be treated in order to disturb mechanical dormancy. The main reasons for the decline in genus Ceratonia L. are anthropogenic impact on natural ecosystems, as well as the uses of Ceratonia for many goals. This problem is aggravated by the fact that seedlings of Ceratonia in nature are very rare because of organic dormancy, and the distribution of carob occurs mainly with the help of seeds. The aim of this work was to study the methods of pre-sowing treatment of dormant Carob seeds. This study was conducted on a wild Carob genotype grown in Syria. Four different pre-sowing treatments were the following: soaking in boiling distilled water (70 С) for 10 min; soaking in boiling distilled water (70 С) for 10 min + soaking in distilled water for 24 h; acid scarification with sulphuric acid (H2SO4); acid scarification with sulphuric acid (H2SO4) + soaking in distilled water for 24 h. We applied and examined for their effectiveness stimulation of Carob seed germination. The results showed that seeds treated with sulphuric acid (H2SO4) and then soaked in distilled water for 24 h was the most effective method increasing the germination percentage by 98 % compared to untreated seeds 5 %.
Comprehensive assessment of Krascheninnikoviaceratoides L. development and its productive potential in reclaimed pastures of arid zone
Authors: Rybashlykova Ludmila P.
Published: June 2022

Improper use of pasture lands has become one of the factors resulted in destruction of natural vegetation. In order to stop desertification, forest reclamation works were carried out in the Caspian region in the mid-20th century, and significant areas of Krascheninnikovia ceratoides (L.) plantings were created. The Pamirian winterfat is a wide distributed plant. It has a well-developed root system, providing sufficient water in climatic conditions of the arid zone. The article provides a systematic assessment of the long-term impact of afforestation and the development of a subshrub layer in various humidity conditions over the growing season during the functioning of pasture ecosystems in reclaimed Molodezhny-teresken territory. The main taxation indicators used to assess the development of Krascheninnikovia ceratoides were determined: height, crown diameter, plant standing density. The research was based on field taxational and morphological measurements of the subshrub and calculations of the complex indicator D. The study revealed that the generalized analysis of the biometric parameters of Pamirian winterfat according to criterion D was an objective tool for assessing its development in the prevailing climatic factors of a certain year. A direct correlation was established between the amount of precipitation in autumn period of research years and the values of the integral indicator D (r = 0.97) with its higher value in 2012 (D = 0.905). There is a high level of direct correlation between the values of the integral indicator D and the yield of feed mass (r = 0.90). Krascheninnikovia ceratoides reclamation and forage plantations have stability, durability, high price-forming potential and are the best way to improve and restore pastures in arid and semi-arid zones.
Assessment of introduction studies on far eastern Primula species in the polar-alpine botanical garden-institute
Authors: Trostenyuk Nadezhda N. , Sviatkovskaya Ekaterina A. , Saltan Natalia V.
Published: June 2022

Species of Primula genus are indispensable introducents for the Kola North, characterized by compact bushes, bright colors, tolerance to urban environments and predominantly early flowering. The Polar-Alpine Botanical Garden-Institute has been studying species of Primula genus since 1934. The results of introduction studies (from 1948 to present) of 6 Far Eastern species of Primula genus: P. borealis Duby, P. farinosa L., P. jesoana Miq., P. nutans Georgi, P. patens (Turcz.) E. Busch, P. saxatilis Kom. were analyzed in the article. The initial material was obtained by seed exchange with botanical gardens in Russia, the CIS and foreign countries. Phenological observations were carried out according to generally accepted methods, on the basis of which the phenological spectrum of seasonal development of plants were constructed, and survival points (SP) were assessed. The introduction coefficient (IC) was calculated, which reflected the introduction value of the considered group of plants. The method of ecological-geographical analysis was used to compile the introduction forecast. Among the studied species, Primula nutans (SP=11) obtained from the seeds of cultivated plants from Scandinavian countries and P. jesoana (SP=9) were most adapted to the conditions of the Kola Arctic. Two species ( P. borealis, P. patens (SP = 4)) were poorly adapted to the conditions of the region, P. farinosa (SP = 1.0) and P. saxatilis (SP = 1.5) were not tested enough due to a short study period. The study showed that plants living from the tundra to the steppe zone ( P. nutans - I C = 1.57) and, in some cases, plants of the taiga zone reaching the subalpine belt in the mountains ( Primula jesoana - I C= 1.28) were adapted to local conditions. The plants of the tundra zone and the alpine zone in the mountains ( P. borealis - IC = 0.57) were less adapted.
Trace element status of highly productive cows in different physiological conditions under increased technogenic load
Authors: Drozhzhin Oleg S. , Shipilov Valeriy V.
Published: June 2022

Microelements play a vital role in the maintenance and intensification of metabolic and regulatory processes in the body of animals. For a more complete study of provision of body of highly productive animals with microelements and diagnosis of metabolic disorders, especially under anthropogenic load, it is necessary to conduct biochemical blood tests. The article presents the results of studies on the content of trace elements (iron, copper, zinc, manganese) in the whole blood of cows from two farms in the Voronezh region, one of which (farm 2) is located in an area with increased technogenic load. In whole blood, the content of iron, copper, zinc, and manganese was determined by atomic absorption using a Shimadzu AA-6300 spectrophotometer. Samples were prepared by wet ashing at elevated pressure in a MARS-5 microwave system. Blood samples were taken 2 weeks before calving, one week and one month after calving. A reduced level of copper and zinc was found in animals from both farms throughout the entire study period. The dependence of the content of microelements on the physiological state of animals (before and after calving) was not revealed. It was shown that the content of iron in the blood of highly productive cows from farm 2 was lower throughout the study, and manganese - a week and a month after calving. The amount of manganese in blood of farm 2 animals was less than the lower limit of the physiological norm, while in farm 1 animals its concentration was within the reference normal range.
Methodical approach to assessing risks of possible yield losses during implementation of agricultural technologies
Authors: Yakushev Vyacheslav V. , Voropayev Valeriy V. , Lomakin Vladimir S.
Published: June 2022

The methods of risk assessment and decision-making in the management of agrotechnology were studied in order to develop a methodical approach to assessing the risks of possible yield losses in case of deviations from the project parameters in the implementation of agrotechnology. The study uses methods of analyzing information from the subject area of risk management in the management of agricultural technology. A registry of possible deviations in the design values of process parameters in the implementation of agricultural technologies has been compiled. A new approach has been developed to assess the risks of possible yield losses in the implementation of agrotechnology with deviations in process parameters from project values. Using the proposed approach will provide an automated ranking of options for decisions on the degree of risk of possible crop failure in case of deviations from the designed values, which will facilitate the transition to intelligent management of crop production.
Black Soldier Fly/Larvae: A Weapon for Solid Waste Management and Alternative Feed for Poultry and Aquatic Industries
Authors: Rushikesh Jadhav  , Ligi Milesh  , Twinkle Mathew  , Renuka Madhu  , Raghavendra  , Maruti  , Shoumi Halder  , Ramesh Kumar Kushwaha  , Anjlina David
Published: June 2022

In developing countries like India, the most unresolved threats present at our urban citizens are related to solid waste management. Even though various methods were practiced previously, due to various scenarios the degradation and disposal of waste has yet remained as a challenge. Thus, to overcome the present situation, Black Soldier fly/larvae (BSF/L) based waste disposal and management can be implemented as one of the main practices as it has been proved to degrade kitchen solid waste to organic waste within a few hours. These larvae after feeding on solid wastes like vegetable waste, agricultural waste and bio-waste mature into a complete fly after several stages of development. Simultaneously, late larval stage i.e. the pre-pupa can be also used as feed in poultry and fish industries. It has been reported that the BSFL can consume organic waste in larger quantities and the rate of degradation is estimated to be higher than any other species of their kind. Moreover, as the rate of reproduction of BSF is very high and provides maximum yield it makes waste management very productive and profitable with greater outcomes. The larvae of BSF used as poultry and fish feed consist of 70% of protein and other of carbohydrates, fats, micro and macronutrients thus providing all the beneficiary nutrients to produce high-quality eggs and meat without any dose of antibiotics and hormones. BSF can be an alternative for recycling and valuing agro-industrial by-products as well. This review explains about the health benefits of using BSF as feed in aquaculture and poultry. This article also explains about the environmental impacts of using BSF. Thus, reviewing all the benefits of the usage of black soldier Larvae/ fly, it can be considered as the next solution for solid waste management in urban India as it has been approved by FDA.
Effect of Stone Crusher Dust Pollution on Biomass of Pigeon Pea
Authors: Ramawadhesh Kumar  , Pramod Kumar  , Parmanand Kumar
Published: June 2022

Stone crusher dust produces deleterious effects on growth and development of plants. This study was done on pigeon pea plants grown on different agro-climatic conditions of Nawada district of Bihar to evaluate the effect of stone crush pollution on its biomass. This study was done on samples collected at an interval of 30 days for up to 240 days. Five plants from each group were collected at each time point. The stem and root of the collected samples were evaluated for biomass. At the initial time point, we did not observe any significant difference in biomass in both stem and root among the study groups. However, we observed significantly decreased biomass in both stem and root in plants in the affected area compared with the unaffected area at later time points (90 days onward). Stone crusher dust may affect the plants through encrustation of leaves, plugging of stomata, changes in the quantum of light absorbed by leaves, changes in pH both outside and inside the leaf as well as through modification in soil condition. Further, the significantly reduced biomass may be due to inhibition of the metabolic activity of plants in affected areas. The present study gives the evidence to the fact that stone crusher dust pollution is harmful to pigeon pea plants off all ages, irrespective of the stage of growth and development.
Optimal Planning of Secondary Power Distribution Systems Considering Renewable and Storage Sources: An Energy Management Approach
Authors: Valencia-Díaz Alejandro , Hincapié Isaza Ricardo A. , Gallego-Rendón Ramón A.
Published: June 2022

This study focuses on the optimal planning of secondary power distribution systems considering distributed renewable generators (DG) and energy storage systems (ESS) to minimize expansion costs. The methodology solves a mixed integer non-linear mathematical model that describes the planning problem, including the operating and technical aspects of the secondary power distribution system. Such methodology uses an iterated local search algorithm and a two-stage load flow decomposition method to solve said problem. The two-stage load flow decomposition method finds the optimal operation of the storage devices and the low-voltage distribution system for each solution proposed by the iterated local search algorithm; thus, optimal energy management is achieved for the best solution. The proposed methodology was tested on a real medium-sized secondary power distribution system to establish its effectiveness. The results obtained show a reduction of 51.97 % in the total energy purchase cost of the system and a decrease of 3.02 % in the installation costs of the secondary circuits and distribution transformers when DG and ESS are considered. In conclusion, the results show that the integration of these distributed energy resources into the distribution system planning problem increases the proﬁts of distribution companies from energy purchase and sale and reduces their ﬁxed costs.
A HYBRID NEURAL KNOWLEDGE EXPERT SYSTEM WITH PARALLEL COORDINATES VISUALIZATION IN DENGUE DIAGNOSIS PREDICTION
Authors: homas J. Joshua , Yen Ling Jodene Ooi , Belaton Bahari
Published: June 2022

This research presents the extension of DengueViz, a hybrid neural-knowledge-based expert system integrated with parallel coordinates as its visualization technique to assist in the diagnosis and severity assessment of dengue. This implementation involves the expert system with 140 rules for the classification of dengue, along with the multilayer perceptron with the stochastic gradient descent algorithm as the artificial neural network to learn data representations, support vector machine to systematically verify errors, and the Theil-Sen estimator to increase its robustness against outliers. The integration of parallel coordinates visually presents the large amount of dengue information into a single visualization space, where data interactions such as the selection of axes, filtering and highlighting reduces the clutter for it to be more comprehensible and enhances the correlation between the attributes of the information. The experiments of this system are conducted with the technology acceptance model, where the usefulness and ease of use of the system is analyzed.
A ROBUST-TEXTURE CONVOLUTIONAL NEURAL NETWORK
Authors: Nunsong Walairach , Woraratpanya Kuntpong
Published: June 2022

AlexNet was a breakthrough for the convolutional neural network (CNN) and showed the greatest successful mod- ified CNN that works well with large-scale images. However, it was unsuccessful in texture classification tasks. To extend CNN’s capability, this paper proposes a modified CNN architecture called a robust-texture convolutional neural network (RT-CNN) to serve both complex shape and texture classification tasks, especially in the following challenges: (i) the same class of images naturally contains various viewpoints, scales, uneven illuminations, etc. (ii) similarly shaped objects with different textures of images are often assigned into different classes; and (iii) dif- ferent shaped objects with similar textures of images are often assigned into the same class. The proposed scheme embeded a texture-embedded supplementary method, composed of texture compensation and supplement, into the CNN architecture. The texture compensation is constructed from texture subbands decomposed by 2D Littlewood-Paley empirical wavelet transform (2D Littlewood-Paley EWT). Then the texture supplement is constructed from texture subbands by using Gabor wavelet to extract multi-scale and multi-orientation texture features. Based on two challenging datasets, the experimental results show that RT-CNN outperforms all test baseline methods: AlexNet, T-CNN, and wavelet-CNN, in terms of recognition accuracy rate. On a typical dataset, the recognition accuracy rate of the proposed method is still better than those of T-CNN and wavelet-CNN, and is comparable to that of AlexNet.
USABILITY TESTING ON MOTIONMOUSE: A PROTOTYPE TO CONTROL ANDROID TABLET USING EMOTIV EPOC+
Authors: Gaber Abubaker , Ghazali Masitah , A. Iahad Noorminshah , Wadha Bimlesh
Published: June 2022

Portable brain-computer interfaces (BCI) headsets that available today in the market provides users with unique ability and experience to interact with their mobile phones and tablets. Researchers try to use BCI outside the labs by implementing and developing applications for BCI mostly on Android platform, which are of different types and purposes, such as communication purposes, controlling external devices and for entertainment such as games. But typically, those BCI related applications are somewhat limited in terms of their scope of control, i.e. the users can only interact with one application at a time and cannot switch to other application without touching the device screen. This paper addresses the development of a MotionMouse, a prototype that provides users with an alternative to fully interact and control an Android tablet by controlling not just one, but many different application types. The evaluation of the prototype was based on ISO 9241-11:2018 standards with a result that demonstrate the ability of controlling and generating touch events on the device using Emotiv EPOC+ with effectiveness of 63.82% (accuracy of the correct target) and efficiency of 3.22 clicks per minute. In addition, the participants also found that it was easy to perform the tasks with few showed excitements during the experiment.
CLUSTERING AND INDEXING OF MULTIPLE DOCUMENTS USING FEATURE EXTRACTION THROUGH APACHE HADOOP ON BIG DATA
Authors: Lydia E. Laxmi , Moses G. Jose , Varadarajan Vijayakumar , Nonyelu Fredi , Maseleno Andino , Perumal Eswaran , Shankar K.
Published: June 2022

Bigdata is a challenging field in data processing since the information is retrieved from various search engines through internet. A number of large organizations, that use document clustering,fails in arranging the documents sequentially in their machines. Across the globe, advanced technologyhas contributed to the high speed internet access. But the consequences of useful yet unorganized information in machine files seemto be confused in the retrieval process. Manual ordering of files has its own complications. In this paper, application software like Apache Lucene and Hadoop have taken a lead towards text mining for indexing and parallel implementation of document clustering. In organizations, it identifies the structure of the text data in computer files and its arrangement from files to folders, folders to subfolders, and to higher folders. A deeper analysis of document clustering was performed by considering various efficient algorithms like LSI, SVD and was compared with the newly proposed updated model of Non-Negative Matrix Factorization. The parallel implementation of hadoopdevelopedautomatic clusters for similar documents. MapReduce framework enforced its approach using K-means algorithm for all the incoming documents. The final clusters were automatically organized in folders using Apache Lucene in machines. This model was tested by considering the dataset of Newsgroup20 text documents. Thus this paper determines the implementation of large scale documents using parallel performance of MapReduce and Lucenethat generate automatic arrangement of documents, which reduces the computational time and improves the quick retrieval of documents in any scenario.
Higenamine ameliorated myocardial ischemia/reperfusion injury via Prx2 and arginine metabolism
Authors: Zhao Fei , Tang Kai , Peng Yajie , Yu Qingwen , Liu Jingjing , Xu Xueli , Shi Yangyang , Zhang Yiran , Liu Lingxu , Zhang Ji , Jin Cheng-Yun , Wei Bo
Published: June 2022

Background and Purpose Myocardial ischemia/reperfusion (MI/R) injury is
the main clinical problem of coronary heart disease. Higenamine (HG), a
cardiotonic active component isolated from aconiti tuber, exhibits
cardioprotective effects. However, its exact mechanism in MI/R is
limited. Experimental Approach The oxidative stress induced by H2O2 in
H9c2 and MI/R rat model was established. Metprolol, evidenced to
ameliorate MI/R injury, was used as the positive control. Cardiac
impairment indexes, were detected in vitro and in vivo. Changes of
peroxiredoxins (Prxs), important anti-oxidative stress proteins in MI/R
were also evaluated. Adenovirus induced Prx2 down-regulation and
specific inhibitor of Prx2 was employed to determine the exact mechanism
of HG in vitro and in vivo. Metabolomic analysis of MI/R rats with or
without HG administration based on UPLC-MS/MS was further performed. Key
Results HG significantly reduced the oxidative stress, improve cardiac
dysfunction and decrease cardiac infarct size against MI/R via Prx2
activation, which was stronger than those in positive control treated
rats. Additionally, HG altered metabolism of arginine and proline and
biosynthesis of arginine during MI/R. Mechanically, HG increased the
levels of Prx2, accompanied with decreased apoptotic protein, in vitro
and in vivo expressions. However, down-regulation of Prx2 markedly
blocked all the cardioprotective effect of HG. Conclusion and
Implications Our work systematicly demonstrated that HG possessed a
strong cardioprotective effect against MI/R by up-regulating cardiac
expression of Prx2 and modulating disordered metabolism of arginine and
glutamine in heart. We provided HG as the potential to further explore
therapeutic strategy for MI/R.
Soil bacterial communities are influenced more by forest type than soil depth or slope position
Authors: She Jiyun , Wang Yun , Xie Peng , Huang Kerui , Deng Aihua , Fan Shaogang
Published: June 2022

Soil depth, slope position and different plantations can influence
bacterial community composition in Camellia oleifera forests.
However, prior studies have focused on the impacts of different depths,
slope positions, and forest types on bacterial diversity independently,
without comparing their combined impacts. This study aimed to assess
variation in soil bacterial community structures according to soil depth
and slope position and different forest types in the same plot. The
composition of soil bacterial communities was evaluated using
high-throughput sequencing of the 16S rRNA gene. Results indicate that
the soil organic carbon, humus, and total organic content increased, and
the bacterial composition and structure were significantly altered in
response to the G. jasminoides + C. oleifera low-yielding forest
in comparison to the other three forest types. The highest soil bacteria
numbers, Alpha and beta diversity, which improved the soil
microecological environment, were associated with the G.
jasminoides + C. oleifera forests and not the depth or slope position
treatments. The slope position did not have a significant influence on
the soil physicochemical and bacterial properties. Structural equation
modeling suggested that G. jasminoides + C. oleifera
significantly affected the soil bacterial community diversity by
mediating the soil pH and NH –N. The effects of forest
type on soil bacterial diversity were more important than soil depth and
slope position. This specific intercropping system was found to be an
effective strategy to improve soil health.
A repülőfedélzeti ZU-M típusú elektronikus hangolóblokk
Authors: Domán László
Published: June 2022

Az 1990-es évek végén a hajózó állomány részéről felmerült az igény – a nyugati gépeken alkalmazotthoz hasonló szolgáltatást nyújtó – folyamatos és tárolt (előre programozható) hangolást biztosító kezelőegység beszerzésére, beépítésére. A tanulmány a katonai repülőeszközök orosz gyártású R–862 és R–863 VHF-UHF frekvenciasávú rádióállomásainak kezelőegységeként alkalmazott, a Magyar Honvédség Légijármű Javítóüzem által kifejlesztett – a Mi–17, Mi–24 típusú helikoptereken máig használt –, ZU-M típusú elektronikus hangolóblokk, és a különféle típusváltozatai fejlesztésének rövid történetét ismerteti. A 20 évvel ezelőtt kifejlesztett, és azóta számos alkalommal továbbfejlesztett ZU-M hangolóblokkot jelenleg is alkalmazzák, a berendezés a gyakorlatban jól bevált.
Epidemiology of Pandemic COVID-19 and Its Association with Some Chronic Diseases in Sulaimani City, Iraq
Authors: Maulood Shaxawan Azeez , Mina Muhammed Babakir , Ali Salar Ibrahim
Published: June 2022

The study aims to provide the epidemiological characteristics of the COVID-19 patients who admitted to Shahid Dr Hemin Teaching Hospital in Sulaimani city, Iraq. It is a cross-sectional study, the data were collected by a convenience sampling method in the hospital, which started from 2nd October to 31th of December 2020. The current study included all the patients who admitted to the hospital, which involved 371 patients. The data were collected from patient’s medical record and a direct interview method was used for filling in the questionnaire form. The collected data were analysed by the SPSS program to produce descriptive statistics such as frequency, percentage, mean and standard deviation while Chi-square test used to find out the association between variables with considering a p-value ? 0.05 as a significant interpretation. The results show that the age of hospitalized COVID-19 patients ranges from 19-95 years old with mean of (63.69±12.73). The age of majority of patients 159 (42.9%) was between 65-79 years old followed by 50-64 years old 124 (33.4%). Male to female ratio was 2:1. Most of the patients were retired 119 (32.1%) in comparison to other occupations and illiterate patients 151(40.7%) were dominance over other patient’s education levels. In addition, majority of patients had hypertension 278(74.9%), diabetes 132 (35.6%) and cardiovascular disease (CVD) 130 (35.0%) and 230 (62.0%) and 141(38.0%) of them were in severe and moderate stage of disease respectively. Also, there was a significant association between the patient’s age group and patients’ outcome while for gender, occupation, and education level, stage of the disease, there were non-significant. The presence of CVD, hypertension and diabetes increase the mortality rate among the patients. In conclusion, age of COVID-19 patient has a great impact on increasing mortality rate and the presence of comorbidities among the patients significantly raise the mortality rate of COVID-19.
Implementation of Simplified Data Encryption Standard on FPGA using VHDL
Authors: Mohammed Salim Qadir
Published: June 2022

In recent years, dramatic changed has been made in communication sector. Due to enormous development in communication devices, globally internet-connected network largely used in all human activities. The security of information has been becoming a major concern for all users and clients, whom depend on network system. The cryptography has played significant role to combat these challenges and improve confidentiality, integrity, and authentication of data communication in the network. The Data Encryption Standard (DES) is one of most familiar type of cryptography and widely used in the modern network system, which has been adopted in encryption and decryption a digital information for several decades. The DES is replaced by a number of new cryptographical methods, which based on DES, like AES and 3DES. In the same time some hardware tools have gained a lot of attention and become interested for researchers and academics to design and implement their model proposals with these hardware-based tools. Therefore, this paper, shows the design of a Simplified Data Encryption Standard (S-DES) by using VHDL language. The design is synthesized, compiled and implemented on the FPGA Altera board, which, consists Quartus II software environment, and Altera Cyclone IV 4CX150FPGA device. The S-DES has been successfully implemented with few numbers of logic elements.
Improving Shared Space to Reduce Traffic Risk: Analytic Study of Mawlawi Street in Sulaimani, Iraq
Authors: Agha Shava Shirwan , Kader Maruf Sherko Karim
Published: June 2022

Within the field of traffic street design, the shared space approach points to create streets from simple traffic frameworks to public spaces, compelling higher interaction between street clients. In this paper we create the essentials for a micro-simulation tool based on the Social force model, to illustrates the movement of street clients in such formats. Working with the observed behavior of clients in a pedestrian-friendly crossing point within the city of Sulaimani a multi-layer organized models is created, in which each layer is assigned to handle different circumstances, from free-flow developments to client intuitive in crowded circumstances. Visibility pie charts and figures estimations are used for planning directions of street clients for the free flow movement
Effect of COVID-19 on Severity of Signs and Symptoms of Autoimmune Diseases
Authors: Haji Ramand Mohammed , Ahmed Nabaz Ali , Ahmed Shakhawan Azad
Published: June 2022

It is an observational cross-sectional study, the data collected by convenience sampling method from 33 patients in the Ranya General Hospital and private clinics for follow-up patient’s autoimmune diseases state in the Ranya city from the 10th November 2020 to the 20th May 2021 and the study included all the patients had autoimmune diseases that recovered from the COVID-19 disease. For the study materials, the data was collected by a questionnaire form that included demographic and autoimmune disease questions also questions about the patient’s intensity of their autoimmune disease’s signs and symptoms before and after they recovered from COVID-19. Determine patient’s autoimmune disease signs and symptoms intensity based on the prescribed drug for a treat the autoimmune diseases which are changed by special doctors. Furthermore, the data were analysed by SPSS software to produce descriptive statistic measures and to find the difference between dependent categorical variables Sign tests were used but the Chi-square test was used for the categorical independent variables with regarding 0.05 as a significant critical value. The result reveals that the range of their age started from 42 to 74 years old with mean±standard deviation (57.3 ± 8.06) and most of the cases 15(45.5%) were between (55-65) years old, followed by less than 55 years old 13(39.4%) and more than 65 years old age 5(3.8%) cases respectively. Rheumatoid arthritis was a major type 16 (48.5%) of the autoimmune disease compared to other types, Ankylosing Spondylitis 8(24.2%) cases, and Ulcerative Colitis 6(18.2%) cases respectively while Crohn's disease was the minimum 3(9.1%) cases and before the got COVID-19 most of the cases 25(75.8%) had moderate intensity signs and symptoms of their autoimmune diseases and 8(24.2%) cases had severe signs and symptoms but after they recovered from the COVID-19 disease the rate of their signs and symptoms changed to mild 19(57.6%) and moderate 14(42.4%) intensity while severe intensity signs and symptoms were zero with highly significant differences (P-value 0.0001). Despite the current study concluded autoimmune disease patients recovered from the COVID-19 their autoimmune diseases signs and symptoms intensity decreased significantly but still further studies are needed with a bigger sample size to determine and explain this association.
Design Through Landscape Architecture for Residential Common Spaces in Japan
Authors: Kader Sherko Karim , Ibrahim Agha Shava Shirwan , Qadir Sham Mustafa , Muhealdeen Banaz N.
Published: June 2022

Landscape architecture focuses on studying and designing indoor and outdoor environments. It entails the elements of architecture, art, engineering, and other sociological factors. Accordingly, the landscape architects design the spaces buildings that give life to the structures. Landscape architecture is visible in parks, streets, shared paths, plazas. Shopping malls, apartment compounds, transport networks, and gardens are also examples of landscape architecture. Furthermore, the works of landscape architecture are also visible in museums, memorials, cemeteries, universities, and other schools. Modern architects have designed different permanent structures that will stand for a long period of time. Notwithstanding the preceding, the discourse on what qualifies as landscape architecture and what does not is yet to be settled. This discussion elucidates the process of research through design in landscape architecture, the literature regarding the field, and conducts a case study of specific landscape architecture to elicit applicability of the enumerated concepts. Moreover, the discourse also reveals the research method utilized in the case study and the results as well and discussion.
The Role of Architectural Preservation Processes on the Permanence of Heritage Buildings of Value
Authors: Qadir Sham Mustafa , Muhealdeen Banaz N. , Khayat Mahmood Ahmed , Maruf Sherko Karim Kader , Agha Shava Shirwan Ibrahim
Published: June 2022

Architectural heritage is all the cultural and civilizational achievements that man inherited from his ancestors, acquiring a qualitative value that has proven its importance and originality in resisting the forces of change, becoming a visual reference. The architectural heritage has been exposed to natural and human factors that caused much damage. This requests to deal with these factors at every level through joint action, which includes the maintenance and protection of heritage buildings. One of the essential parts of the preservation process is the reuse of the building, whereby an actual or new function is given to the building to preserve, sustain and reconfigure it in a way that preserves its originality, composition, and balance without compromising its relationship with the environment. The research problem is the fragile focus on the importance of functional value when starting the architectural preservation work, even though it requires an in-depth study of the extent of the impact of this change on preserving the heritage value of the building. The study aims to clarify the process of preservation in heritage buildings and the use of the rehabilitation process based on the architectural characteristics of the building. For this purpose, the analytical method approach of pre-and post-conservation blueprints was used through photographs to illustrate the impact of functional change in preserving the building's heritage value. From here, the research concludes that preserving the permanence of the architectural heritage can be achieved through cooperation between all values and that the functional value significantly affects the permanence of the heritage building
Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning
Authors: Wady Shakhawan Hares
Published: June 2022

Identification and diagnosis of leukemia earlier is a contentious issue in therapeutic diagnostics for reducing the rate of death among people with Acute Lymphoblastic Leukemia (ALL). The investigation of White Blood Cells (WBCs) is essential for the detection of ALL-leukaemia cells, for which blood smear images were being used. This study created an intelligent framework for identifying healthy blood cells from leukemic blood cells in blood smear images. The framework combines the features extracted by Center Symmetric Local Binary Pattern (CSLBP), Gabor Wavelet Transform (GWT), and Local Gradient Increasing Pattern (LGIP), the data was then fed into machine learning classifiers including Decision Tree (DT), Ensemble, K-Nearest Neighbor (KNN), Naïve Bayes (NB), and Random Forest (RF)).  As the training set, the ALL-IDB2 database was utilized to create a balanced database with 260 blood smear images. Consequently, to generate the optimum feature set, a recommended model was established by using numerous individual and combined feature extraction methodologies. The investigational consequences demonstrate that the developed feature fusion strategy surpassed previous existing techniques, with an overall accuracy of 97.49 ± 1.02% utilizing Ensemble classifier.
Evaluation of an ESP Textbook from Teachers’ and Students’ Points of View: A Case Study of Nursing One for Premedical Students at a Saudi University
Authors: Attayib Omar Abdul-Majeed
Published: June 2022

This research aims to evaluate Nursing One, a textbook endorsed to teach medical English to premedical students at Umm-Al-Qura University. So, the main question of study asks about the appropriateness of Nursing One for the target students in terms of its subject, content and layout. The study is quite significant as it attempts to check the suitability of this book for premedical students who are assumed to be taugt the proper language that qualifies them to study medicine through an English medium. The data are obtained via a checklist given to (25) teachers and a series of interviews arranged with (12) students. The collected data are analysed quantitively, and the results reveal that the participants both (teachers and students) are quite satisfied with most aspects of Nursing One. More specifically, it is revealed that most of the subjects acknowledge that the content, the layout, the design , and presentation of “Nursing One” are quite appropriate. They admit that the book is adequately organized, and its topics are selected carefully to cater to the students’ academic and professional needs. These results have led the researcher to conclude that Nursing One is a suitable textbook for premedical students at Umm-Al-Qura University. The research, recommends that all ESP textbooks should be rigorously assessed and evaluated before being endorsed to be taught in classrooms.