bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of the Enhanced Piece-Wise Linear Neural Network Algorithm
Authors: Chan Veronica K. , Chan Christine W.
Published: September 2021

This chapter discusses development, application, and enhancement of a decomposition neural network rule extraction algorithm for nonlinear regression problems. The dual objectives of developing the algorithms are (1) to generate good predictive models comparable in performance to the original artificial neural network (ANN) models and (2) to “open up” the black box of a neural network model and provide explicit information in the form of rules that are expressed as linear equations. The enhanced PWL-ANN algorithm improves upon the PWL-ANN algorithm because it can locate more than two breakpoints and better approximate the hidden sigmoid activation functions of the ANN. Comparison of the results produced by the two versions of the PWL-ANN algorithm showed that the enhanced PWL-ANN models provide higher predictive accuracies and improved fidelities compared to the originally trained ANN models than the PWL-ANN models.
Single-Channel Region-Based Speller for Controlling Home Appliances
Authors: Shukla Praveen Kumar , Chaurasiya Rahul Kumar , Verma Shrish
Published: September 2021

The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does not require any muscle action; hence, it can be controlled with the help of brain activities only. Therefore, this kind of system is helpful for patients, who are completely paralyzed or suffering from diseases like ALS (Amyotrophic Lateral Sclerosis), and spinal cord injury, etc., but having a normal functioning brain. A region-based P300 speller system for controlling home electronic appliances is proposed in this article. With the help of the proposed system, users can control and use appliances like an electronic door, fan, light, system, etc., without carrying out any physical movement. The experiments are conducted for five, ten, and fifteen trails for each subject. Among all classifiers, the ANN classifier provides the best off-line experiment accuracy of the order of 80% for fifteen flashes. Moreover, for the control translation, the Arduino module is also designed which is low cost and low power-based and physically controlled a device.
Investigation of the Attitudes for Environment and Evaluation of Artificial Neural Networks
Authors: Benzer Semra , Benzer Recep , Bozkurt Şule
Published: September 2021

This study was conducted to evaluate the attitudes of the students in a secondary school in Aksaray towards the environment according to some variables. The research group of the study was constituted of 426 students who were attending in the 1st, 2nd, 3rd, and 4th grade at a secondary school in the academic year of 2015-2016. The research done by using environmental attitude scale concluded that the secondary students have a positive attitude towards the environment. It was found that there was a meaningful difference according to gender, age group, father profession status, mother profession status. It was also concluded that students did not differ according to mother education level, father education level, grade level, family income level, and number of siblings variables. Similar evaluations were made with artificial neural networks. In this study, it has been shown that artificial neural networks can be used in the studies conducted in the field of education.
Drought Estimation-and-Projection Using Standardized Supply-Demand-Water Index and Artificial Neural Networks for Upper Tana River Basin in Kenya
Authors: Wambua Raphael Muli
Published: September 2021

Drought occurrence, frequency and severity in the Upper Tana River basin (UTaRB) have critically affected water resource systems. To minimize the undesirable effects of drought, there is a need to quantify and project the drought trend. In this research, the drought was estimated and projected using Standardized Supply-Demand-Water Index (SSDI) and an Artificial Neural Network (ANN). Field meteorological data was used in which interpolated was conducted using kriging interpolation technique within ArcGIS environment. The results indicate those moderate, severe and extreme droughts at varying magnitudes as detected by the SSDI during 1972-2010 at different meteorological stations, with SSDI values equal or less than -2.0. In a spatial domain, the areas in south-eastern parts of the UTaRB exhibit the highest drought severity. Time-series forecasts and projection show that the best networks for SSDI exhibit respective ANNs architecture. The projected extreme droughts (values less than -2.00) and abundant water availability (SSDI values ³ 2.00) were estimated using Recursive Multi-Step Neural Networks (RMSNN). The findings can be integrated into planning the drought-mitigation-adaptation and early-warning systems in the UTaRB.
Emotion Recognition From Speech Using Perceptual Filter and Neural Network
Authors: A. Revathi , N. Sasikaladevi
Published: September 2021

This chapter on multi speaker independent emotion recognition encompasses the use of perceptual features with filters spaced in Equivalent rectangular bandwidth (ERB) and BARK scale and vector quantization (VQ) classifier for classifying groups and artificial neural network with back propagation algorithm for emotion classification in a group. Performance can be improved by using the large amount of data in a pertinent emotion to adequately train the system. With the limited set of data, this proposed system has provided consistently better accuracy for the perceptual feature with critical band analysis done in ERB scale.
Predicting Stock Market Price Using Neural Network Model
Authors: Tripathy Naliniprava
Published: September 2021

The present article predicts the movement of daily Indian stock market (S&P CNX Nifty) price by using Feedforward Neural Network Model over a period of eight years from January 1st 2008 to April 8th 2016. The prediction accuracy of the model is accessed by normalized mean square error (NMSE) and sign correctness percentage (SCP) measure. The study indicates that the predicted output is very close to actual data since the normalized error of one-day lag is 0.02. The analysis further shows that 60 percent accuracy found in the prediction of the direction of daily movement of Indian stock market price after the financial crises period 2008. The study indicates that the predictive power of the feedforward neural network models reasonably influenced by one-day lag stock market price. Hence, the validity of an efficient market hypothesis does not hold in practice in the Indian stock market. This article is quite useful to the investors, professional traders and regulators for understanding the effectiveness of Indian stock market to take appropriate investment decision in the stock market.
An Approach Combining DEA and ANN for Hotel Performance Evaluation
Authors: Sharma Himanshu , Suri Gunmala , Savara Vandana
Published: September 2021

For a hotel to succeed in the long run, it becomes vital to achieve higher profits along with increased performance. The performance evaluation of a hotel can signify its sustainable competitiveness within the hospitality industry. This article performs a two-stage study that combines data envelopment analysis (DEA) and artificial neural network (ANN) to evaluate hotel performance. The first stage to evaluate the efficiency for hotels is by using the DEA technique. The input variables considered are the number of rooms and the ratings corresponding to six aspects of a hotel (service, room, value, location, sleep quality, and cleanliness). Also, revenue per available room (RevPAR) and customer satisfaction (CS) are the output variables. The distinguishing factor of this article is that it involves the use of EWOM for performance evaluation. In the second stage, the performance of the hotels is judged by using the ANN technique. The ANN results showed that the performance of the hotels is quite good. Finally, discussions based on the results and scope for future studies are provided.
Convolutional Neural Network
Authors: Véstias Mário Pereira
Published: September 2021

Machine learning is the study of algorithms and models for computing systems to do tasks based on pattern identification and inference. When it is difficult or infeasible to develop an algorithm to do a particular task, machine learning algorithms can provide an output based on previous training data. A well-known machine learning model is deep learning. The most recent deep learning models are based on artificial neural networks (ANN). There exist several types of artificial neural networks including the feedforward neural network, the Kohonen self-organizing neural network, the recurrent neural network, the convolutional neural network, the modular neural network, among others. This article focuses on convolutional neural networks with a description of the model, the training and inference processes and its applicability. It will also give an overview of the most used CNN models and what to expect from the next generation of CNN models.
An Overview on Issues Among Individuals With Intellectual Disability in India
Authors: Behrani Priyanka , Deka Dorothy Bhandari
Published: September 2021

Intelligence is the general mental capacity that involves reasoning, planning, solving problems, thinking abstractly, comprehending complex ideas, learning efficiently, and learning from experience. Intellectual disability (previously termed “mental retardation”) shows significant cognitive deficits (IQ score of below 70, i.e., two standard deviations below the mean of 100 in the population) and also significant deficits in functional and adaptive skills. Individuals with intellectual disability meet with various challenges in every span of life. The chapter tries to highlight some of the areas that are related to the concerns for the people with intellectual disability.
How Game Designers Can Account for Those With Autism Spectrum Disorder (ASD) When Designing Game Experiences
Authors: Costello Robert , Donovan Jodie
Published: September 2021

Autism Spectrum Disorder (ASD) is a prevalent neurodevelopmental disability among gamers where individuals belonging to this group of conditions have difficulty understanding non-verbal cues. Though game accessibility is a focal point in the games industry, there has been a keen focus placed on developing accessibility. Consequently, this study examines the perspective of video games from individuals who have autism to gain further insight into the needs of these individuals. The preliminary study is to discover if autistic users' difficulty reading non-verbal cues extends to their perception of a game environment and if these individuals can experience sensory distress while playing video games. A prototype was created to further understand the non-verbal cues to help shape the foundation of accessibility framework. The preliminary results concluded that autistic users frequently misread or fail to pick up on the non-verbal cues used by developers to drive game flow and narrative (e.g., sign-posting), in addition to experiencing sensory distress while playing video games.
Demystifying Deafness
Authors: McCartney Jamie L.
Published: September 2021

Most deaf children in the United States are not educated in specialized schools for the deaf but in public schools. This has had a detrimental effect on these students because many public-school teachers misunderstand deafness and are unable to adjust their teaching strategies to address the needs of this population. The mission of this chapter is to educate teachers on deafness and how to better teach and relate to a child who is deaf or hard of hearing. Specifically, this chapter will provide pertinent information for helping teachers better understand deaf and hard-of-hearing students as well as provide evidence-based practices and teaching tips that can be utilized in the classroom with this group.
Original Teaching Materials and School Activities for Students With an Intellectual Disability
Authors: Ishitobi Ryoichi , Nemoto Fumio , Sugita Youko , Nakamura Susumu , Iijima Toru , Takatsu Azusa , Taniuchi Mimiko , Harada Kaoru , Kanno Yoshie , Tagami Kota , Tanaka Shodai , Yamashita Masayuki , Ikuta Shigeru
Published: September 2021

Most of the present authors, the teachers at the School for the Mentally Challenged at Otsuka, University of Tsukuba, have been creating original teaching aids and materials using low-tech and high-tech methods. Original teaching aids created with woodworking and metalworking are usually used for students with an intellectual disability. The original teaching materials with Grid Onput dot code, which could link multimedia, such as audio, movies, web pages, html files, and PowerPoint files were created in collaboration with one of the present authors, Professor Shigeru Ikuta, who organized a large research project, and Gridmark Inc. that developed Grid Onput dot code. The present authors have recently developed a new software program, SmileNote, to help students create presentation slides in expressing their feelings, will, and desires to classmates, teachers, and parents. Basic information on these materials and their use in schools is presented in this chapter.
Role of Stress and Age in Resilience Among Parents of the Children with Intellectual Disability
Authors: Rajan Santhosh Kareepadath
Published: September 2021

Parents of children with intellectual disability face various stressful situations. However, many of them show resilience even in the midst of challenges and are able to meaningfully contribute to the life of the child. In the present study, the factors of stress that hinder resilience are assessed in a sample of 50 parents of intellectually disabled children. Stress scale for parents of mentally challenged (SPMC) developed by Rejitha, Biji, and Jayan was used to measure the stress of the parents. Resilience was measured using the Bharathiar University resilience scale, developed by Annalakshmi. Results showed extra-familial stress as a significant inverse predictor of resilience. Older parents are relatively more resilient when compared to the younger.
“Intertwined Lives”
Authors: Hettiarachchi Shyamani , Kitnasamy Gopi , Gopi Dilani , Nizar Fathima Shamra
Published: September 2021

Sibling relationships are complex and unique, often spanning a range of deep emotions. The experiences of children with disabilities and their siblings are arguably seldom documented, particularly in the Global South. The aim of this chapter was to uncover the narratives of young children with disabilities and their siblings in Sri Lanka. Ten dyads of children with disabilities and their siblings and one quartet of siblings were included in this study. Opportunities were offered to the participants to engage in conversation aided by kinetic family drawings. An interview guide was used to support this process. The participant data were analyzed through the lens of the “lived experience” of family dynamics in the tradition of interpretative phenomenological analysis. This chapter will discuss the two complex broad themes of a surrogate parenting role and normative sibling relationships, which at times converge and at times diverge.
Sibling Disposition Towards Children With Special Needs
Authors: Mondreti Prithi Venkatesh , Malar G.
Published: September 2021

The background research leading to this chapter probed into the nature of disposition and dominant patterns of feelings displayed b typically developing siblings towards children with special needs arising out of communication disorders. The resultant findings may contribute of facilitation of constructive relationship between them. A survey type of research design was adopted for the purpose of collecting relevant data from primary caregivers of 34 children with communication disorders resulting from either sensory impairments, or neurodevelopmental disorders. An emotional-behavioral rating scale including 10 common dispositions of siblings towards children with special needs had been developed for the purpose following review of relevant literature. The caregiver-participants were to rate the frequency of manifestation of the emotions of behaviors described on a four-pointing rating scale of never, sometimes, often or always. Other relevant information like number of siblings, order of birth, gender of children with special needs, as well as educational and socio-economic status of the caregivers were collected. Analysis of the data revealed feelings of concern and care predominantly prevalent among siblings of children with special needs. Nevertheless, there is scope for further shaping the positive dispositions into constructive behaviors that support optimal development of children with special needs.
Sexual Abuse Among Individuals With Disabilities
Authors: Choudhury Sandamita , Goswami Sangeeta
Published: September 2021

The chapter addresses the concept of sexual abuse among individual with disabilities across lifespan, barriers to reporting of sexual abuse, its impact on the psychological and physical health, characteristics of perpetuators of sexual abuse, importance of family in prevention and protection of individuals with disability.
Living With Cerebral Palsy in Malaysia
Authors: Kaur Randhawa Rajvin , Aravindhan Kiirtaara
Published: September 2021

The authors in this chapter highlights the reality of cerebral palsy in Malaysia. The chapter is a blend experiential account and factual details. The experiential fragment includes a personal case study, providing 32 years' worth of experience and first-hand details on the life of a cerebral palsy individual in Malaysia. The factual fragment provides researched information on the general reality of cerebral palsy in Malaysia, which includes regulations, existing services and support systems, ergonomics, awareness, and inclusion. This chapter also includes an interview with a fellow CP individual. The chapter ends with an interesting take-home message that aims to encourage and motivate those negatively affected.
Narrative Analysis of Employment Support for Students With Developmental Disabilities
Authors: Seino Kai , Enomoto Yoko , Miyazawa Shiho
Published: September 2021

The text data regarding the free-expression answers on the employment support provided to students with developmental disabilities (unsure students are included) were defined as the narrative. The aim of this research was to obtain suggestions regarding business solutions that could be used to provide employment support for students with developmental disabilities by conducting text mining and narrative theory analysis. Furthermore, the “narrative generation system” is advocated as a comprehensive framework which organically unifies the whole “narrative phenomenon” from various sides. Furthermore, these researches apply the knowledge of other fields, such as pedagogy on developmental disability, personal support, text mining, and a narratology; psychology; engineering; and literature. Therefore, the authors believe that this research corresponds to “narrative generation system” theory research. Thus, it may be possible for suggestions regarding narrative generation to be produced as a secondary result of this chapter's process of analysis.
Informing School Rehabilitation Professionals
Authors: Lin Pei-Ying
Published: September 2021

The importance of appropriate use of test accommodations has drawn researchers to look closely for empirical evidence that supports the appropriateness and effectiveness of current accommodation practices over the last three decades. To inform teacher candidates enrolled in special education courses as well as school rehabilitation professionals who may or may not be new to the field, this chapter synthesizes research findings on the effectiveness of major accommodation categories and discusses how to make valid decisions for students with diverse special learning needs.
Stock Market Responses to Monetary and Fiscal Policies
Authors: Erer Elif , Erer Deniz
Published: September 2021

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.
Optimization of IoT-Enabled Physical Location Monitoring Using DT and VAR
Authors: Shitole Ajitkumar Sureshrao , Devare Manoj Himmatrao
Published: September 2021

This study shows an enhancement of IoT which gets sensor data and performs real-time face recognition to screen physical areas to find strange situations and send an alarm mail to the client to make remedial moves to avoid any potential misfortune in the environment. Sensor data is pushed onto the local system and GoDaddy Cloud, whenever the camera detects a person to optimize the Physical Location Monitoring System by reducing the bandwidth requirement and storage cost onto the Cloud using edge computation. The study reveals that Decision Tree (DT) and Random Forest give reasonably similar macro average f1-score to predict a person using sensor data. Experimental results show that DT is the most reliable predictive model for the Cloud datasets of three different physical locations to predict a person using timestamp with an accuracy of 83.99%, 88.92%, and 80.97%. This study also explains multivariate time series prediction using Vector Auto Regression that gives reasonably good Root Mean Squared Error to predict Temperature, Humidity, Light Dependent Resistor, and Gas time series.
A RNN-LSTM-Based Predictive Modelling Framework for Stock Market Prediction Using Technical Indicators
Authors: Mittal Shruti , Chauhan Anubhav
Published: September 2021

The successful prediction of the stocks’ future price would produce substantial profit to the investor. In this paper, we propose a framework with the help of various technical indicators of the stock market to predict the future prices of the stock using Recurrent Neural Network based Long Short-Term Memory (LSTM) algorithm. The historical transactional data set is amalgamated with the technical indicators to create a more effective input dataset. The historical data is taken from 2010-2019 ten years in total. The dataset is divided into 80% training set and 20% test set. The experiment is carried out in two phases first without the technical indicators and after adding technical indicators. In the experimental setup, it has been observed the LSTM with technical indicators have significantly reduced the error value by 2.42% and improved the overall performance of the system as compared to other machine learning frameworks that are not accounting the effect of technical indicators.
Making Mobile Health Information Advice Persuasive
Authors: Song Jinjin , Li Yan , Guo Xitong , Shen Kathy Ning , Ju Xiaofeng
Published: September 2021

As M-Health apps become more popular, users can access more mobile health information (MHI) through these platforms. Yet one preeminent question among both researchers and practitioners is how to bridge the gap between simply providing MHI and persuading users to buy into the MHI for health self-management. To solve this challenge, this study extends the Elaboration Likelihood Model to explore how to make MHI advice persuasive by identifying the important central and peripheral cues of MHI under individual difference. The proposed research model was validated through a survey. The results confirm that (1) both information matching and platform credibility, as central and peripheral cues, respectively, have significant positive effects on attitudes toward MHI, but only information matching could directly affect health behavior changes; (2) health concern significantly moderates the link between information matching and cognitive attitude and only marginally moderates the link between platform credibility and attitudes. Theoretical and practical implications are also discussed.
Factors Affecting Customer Intention to Adopt a Mobile Chronic Disease Management Service
Authors: Zhu Zhangxiang , Liu Yongmei , Cao Xianye , Dong Wei
Published: September 2021

The Mobile Chronic Disease Management Service (MCDMS) is an emerging medical service for chronic disease prevention and treatment, but limited attention has been paid to the factors that affect users’ intention to adopt the service. Based on the unified theory of acceptance and use of technology 2 and the protection motivation theory, the authors built an MCDMS adoption model. The authors also verified the differentiating age effect on the service adoption intention from experiential distance perspective of the construal level theory. Empirical results showed that the young group focused more on the impact of effort expectancy, whereas the elderly group focused more on performance expectancy, imitating others, and perceived severity. Furthermore, the young group, however, focused more on the impact of perceived vulnerability, and offline medical habits showed no significant influence on either group’s intention to adopt, which were not consistent with the original hypotheses. The findings can aid MCDMS providers in selecting marketing strategies targeted toward different age groups.
Parental knowledge, attitude and practice of oral hygiene of special children in Bangalore
Authors: Saseendran Anagha , Nagar Priya , Nameeda K. S. , Nihala K. Fathimath
Published: September 2021

Background:

Oral hygiene of special children is directly related to their disability, and parents play a key role in a child's oral hygiene maintenance which would influence their general health condition.

Aim:

The aim of this study was to evaluate the knowledge and attitude of parents of special children toward oral hygiene maintenance and to correlate the same with educational and socioeconomic status.

Materials and Methods:

A cross-sectional study was conducted among the mothers of children from special schools in Bangalore. The survey included questions related to knowledge and attitude of parents and practice of oral hygiene maintenance for their children. The results were tabulated and subjected to statistical analysis using Chi-square test. P < 0.05 was considered to be statistically significant.

Results:

The parents of the special children had sufficient knowledge on the maintenance of oral hygiene, and the educational status of the parent had a positive impact on the child's oral health.

Conclusion:

Oral hygiene maintenance of special children is extremely important as primary teeth serve as the milestone in orofacial growth and development.
Ewing's sarcoma
Authors: Ratna Jerusha J. Faith , Raghunath Vandana , Reginald B. Ajay , Reddy B. Siva , Kamal Firoz , Reddy Samatha
Published: September 2021

Ewing's sarcoma is an uncommon malignancy, constituting 4%–10% of the entire malignant osseous tumors involving children and young people. Rarely does it affect the facial bones, and added to its nonspecific presentation, its diagnosis remains challenging. Its occurrence is <3% in the head-and-neck region, with the mandible being frequently affected. It belongs to the ES family of tumors, shows rapid growth, and has a greater propensity for metastasis. ES of the jaws either presents as a primary or as a metastatic deposit. We report one such rare clinical and histological scenario of a primary ES of the mandible in a girl, of 8 years of age, whose clinical presentation mimicked that of an odontogenic tumor/cyst. Tumor cells were positive for CD99 and vimentin which confirmed the diagnosis. This report is to showcase the importance of early diagnosis in such rarely occurring aggressive tumors. It further facilitates appropriate therapy to achieve local control, prevent metastasis, and systemic eradication.
Emergency Department Utilization of Adult Cancer Patient in Korea: A Nationwide Population-Based Study, 2017-2019
Authors: Min Hye Sook , Chang Hye Jung , Sung Ho Kyung
Published: September 2021

PurposeThe current study aimed to identify the overall characteristics of cancer-related emergency department (ED) visits by adult in Korea, including analyses of factors associated with ED stay time and outcomes nationwide. Materials and MethodsWe collected data on cancer-related ED visits from the National Emergency Department Information System (NEDIS) database between 2017 and 2019. ResultsED visits by cancer patients comprised 5.5% (667,935 visits) of total ED visits from 2017 to 2019, which was slightly higher than in other counties. Patients with cancer who visited the ED were over 50 years old, the majority being males, and patients with cancer visited EDs in certified tertiary hospitals more frequently than patients without cancer. In multivariate analyses, the adjusted odds ratio for a length of stay more than 8 hours in the ED of certified tertiary hospitals was 126.34 (95% confidence interval, 1.422 to 1.460) when compared to hospitals. Nevertheless, the longer the patients stayed in the ED, the more likely they were to be admitted. ConclusionThe longer ED stay and higher proportion of cancer patient hospitalizations suggest that cancer patients visit ED to be admitted as well as to receive acute care. The frequency of ED visits and admission may be adjusted to some extent depending on outpatient education, such as self-management of symptoms and situations. Improving cancer care in local communities should be met though provisions such as linking treatment between hospitals or supplying appropriate medical personnel, even for the efficient use of ED resources in hospitals.
An arithmetic property of intertwining operators for p-adic groups
Authors: Raghuram A.
Published: September 2021

The main aim of this article is to show that normalised standard intertwining operator between induced representations of p-adic groups, at a very specific point of evaluation, has an arithmetic origin. This result has applications to Eisenstein cohomology and the special values of automorphic L-functions.
Effect of garlic supplementation on zootechnical performance and hepato-renal functions in nitrate-treated rabbits
Authors: Rashid G. , Nasir A. , Avais M. , Adil M. , Sikandar A. , Kashif M. , Irshad I. , Ullah H.
Published: September 2021

The effect of garlic supplementation on zootechnical performance and hepato-renal functions of rabbits exposed to experimental nitrate poisoning was evaluated. Adult male 6-8 week-old albino rabbits (n= 24) were randomly divided into four groups (A - D) and subjected to nitrate intoxication through the oral administration of sodium nitrate solution at 2 ml/kg bodyweight per day for 40 days. Group A was a control that received no treatment except sodium nitrate. Rabbits in groups B and C were treated with 1% methylene blue solution (2 mg/kg bodyweight per day) and aqueous garlic extract (500 mg/kg bodyweight per day) through intraperitoneal and oral routes, respectively. Rabbits in group D were treated with both 1% methylene blue solution (2 mg/kg bodyweight per day, intraperitoneally) and aqueous garlic extract (500 mg/kg bodyweight per day, orally). On completion of the treatment period, the groups were compared in growth performance, biochemical profile and histopathological changes of hepato-renal tissues. Although the total feed consumption of the groups remained comparable, Group C showed relatively better weight gain and feed conversion ratio (FCR). Likewise, garlic extract significantly increased the serum bilirubin concentration and reduced the level of other biochemical attributes in comparison with control animals. The hepatic and renal tissues of Groups C and D remained normal, whereas those of the control group exhibited distinct histopathological alterations. It was concluded that garlic supplementation ameliorated the deleterious effects of nitrate intoxication on production performance and hepato-renal functions of rabbits.
Effects of thermal stress on physiological state and hormone concentrations in Holstein cows under arid climatic conditions
Authors: Djelailia H. , M’Hamdi N. , Bouraoui R. , Najar T.
Published: September 2021

This study was conducted to investigate the effect of heat stress on the physiology of dairy cows and to detect the relationship between rectal temperature (RT) and respiration rate (RR), heart rate (HR), and plasma concentrations of cortisol, thyroxine, and prolactin. During the experiment, 44 Holstein cows were allocated to two groups for each season. The average temperature-humidity index (THI) values were 55 ± 2.31 in winter and 78 ± 1.9 in summer. As the THI values increased from 55 to 78, RR rose by 35 inspirations per minute, HR by 3 beats per minute, and RT by 1.2 °C. In addition, the average concentration of cortisol increased from 19.30 to 21.04 nmol/L, and prolactin from 58.52 to 129.79 ngm/L, whereas free thyroxine decreased from 15.43 to 14.01 pmol/L. Plasma sodium and potassium concentrations were similar in the two seasons. These results confirmed that RT is an indicator of the response in dairy cows to hot environmental temperatures. However, they also showed signs of stress, which were reflected in higher levels of cortisol and in certain physiological responses.
Thành lập bản đồ phân vùng nguy cơ trượt lở đất Thành phố Đà Lạt bằng phương pháp phân tích thứ bậc và hệ thông tin địa lý
Authors: Thanh Lê Ngọc , Dũng Nguyễn Quang , Nhân Nguyễn Siêu , Hùng Nguyễn Phi , Tùng Lưu Hải
Published: September 2021

Bản đồ phân vùng nguy cơ trượt lở đất Thành phố Đà Lạt đã được thành lập bằng phương pháp phân tích thứ bậc AHP và hệ thông tin địa lý. Mười ba yếu tố/nguyên nhân đã được lựa chọn sử dụng bao gồm độ dốc sườn, địa mạo, lưu vực sông – mật độ sông suối, thạch học – vỏ phong hóa, thổ nhưỡng, cấu trúc địa động lực, đới ảnh hưởng động lực các đứt gãy chính, gia tốc nền, địa chất thủy văn, lượng mưa trung bình năm, hiện trạng sử dụng đất, mật độ xây dựng và hệ thống giao thông. Phân vùng nguy cơ trượt lở đất được kiểm chứng bằng cách so sánh với hiện trạng 214 địa điểm trượt lở đất đã phát hiện từ điều tra, khảo sát thực tế. Kết quả cho thấy 94.8% vị trí địa điểm trượt lở đất phát sinh trong các vùng nguy cơ từ trung bình đến rất cao. Các vùng có nguy cơ trượt lở đất từ rất thấp, thấp, trung bình, cao đến rất cao lần lượt chiếm 21.76%; 36.14%; 21.15%; 15.91% và 5.04% diện tích khu vực nghiên cứu. Độ dốc sườn > 25o, lượng mưa trung bình năm từ 1800-1900mm, mật độ xây dựng > 80% và hệ thống giao thông với bước đệm 20m được coi là các yếu tố/nguyên nhân chủ yếu trong phát sinh trượt lở đất trên địa bàn Thành phố Đà Lạt. Kết quả nghiên cứu là tài liệu khoa học và thực tiễn giúp các nhà quy hoạch và quản lý địa phương sử dụng hợp lý lãnh thổ thành phố có tính đến điều kiện trượt lở đất trong quy hoạch tổng thể phát triển kinh tế - xã hội.
Bổ sung dẫn liệu phân tử và khảo sát đặc điểm nuôi trồng của chủng nấm Hương Sapa Lentinula edodes
Authors: Thúy Lê Huyền Ái , Thuan Lao Duc , Mai Nguyễn Hoàng , Đại Phan Hoàng , Khương Nguyễn Trương Kiến , Nguyên Trương Bình
Published: September 2021

Mẫu nấm Hương Sapa (Ký hiệu Len026) được thu hái tại vùng rừng núi xã Sơn Bình, huyện Tam Đường, tỉnh Lào Cai vào cuối tháng 05 năm 2019 khi đang phát triển trên các thân cây lá rộng mục. Các đặc điểm hình thái bên ngoài như màu nâu đỏ (khi ẩm ướt) chuyển sang vàng nâu, kèm các vết nứt nhẹ (khi khô) của mũ nấm cùng các vảy sợi trên bề mặt mũ, lớp thịt mũ mỏng, mép mũ cuộn khi non duỗi phẳng đến hơi vểnh lên khi già; Các đặc điểm hiển vi như cấu tạo dạng elip của bào tử và đặc biệt là sự tồn tại của các liệt bào cạnh (pleurocystidia) và liệt bào đỉnh (cheilocystidia) cho thấy mẫu nấm này mang khá nhiều đặc điểm pha trộn của cả 03 loài Lentinula edodes, Lentinula lateritia và Lentinula boryana, là những loài loài đã được nhận định có thể tồn tại ở nước ta. Tuy nhiên, các dẫn liệu phân tích đoạn ITS rDNA cho mẫu nấm Hương trên lại cho thấy đây là loài Lentinula edodes. Giống thuần của chủng nấm này đã được phân lập từ mô thịt quả thể. Trong điều kiện nuôi trồng nhân tạo trên cơ chất mạt cưa gỗ cao su nấm sinh trưởng và phát triển rất tốt. Mặc dù hiệu suất sinh học của chủng Len026 còn khá thấp nhưng với các đặc điểm như: tốc độ tăng trưởng hệ sợi và quá trình nâu hóa hệ sợi nhanh cũng như khả năng hình thành mầm nấm rất mạnh cho thấy đây là một chủng nấm tiềm năng dùng làm nguyên liệu lai tạo giống nấm mới phục vụ công nghệ nuôi trồng nấm Hương của địa phương.
Introduction to local certification
Authors: Feuilloley Laurent
Published: September 2021

A distributed graph algorithm is basically an algorithm where every node of a
graph can look at its neighborhood at some distance in the graph and chose its
output. As distributed environment are subject to faults, an important issue is
to be able to check that the output is correct, or in general that the network
is in proper configuration with respect to some predicate. One would like this
checking to be very local, to avoid using too much resources. Unfortunately
most predicates cannot be checked this way, and that is where certification
comes into play. Local certification (also known as proof-labeling schemes,
locally checkable proofs or distributed verification) consists in assigning
labels to the nodes, that certify that the configuration is correct. There are
several point of view on this topic: it can be seen as a part of
self-stabilizing algorithms, as labeling problem, or as a non-deterministic
distributed decision.
This paper is an introduction to the domain of local certification, giving an
overview of the history, the techniques and the current research directions.
Structural Analysis of 8/6 Switched Reluctance Motor Linear and Non-linear Models
Authors: González-San Román J. D. , Liceaga-Castro J. U. , Siller-Alcalá I. I. , Campero-Littlewood E.
Published: September 2021

This work presents the process of obtaining the simplified model of a switched reluctance motor (SRM) 8/6. Subsequently, the structure of the single-phase model is analyzed, obtaining an exact linearization and zero dynamics of the system. Finally, the model is linearized at an operating point set at 2000 rpm The model includes Coulomb plus viscous friction nonlinearity and an ideal inverter circuit based on bridge converter topology. The simplified and linear models are simulated and compared in the Matlab®/Simulink software in order to validate the design of a classic controller using the linear model.
PENANAMAN NILAI-NILAI PANCASILA DENGAN MEDIA KOMIK PANCASILA (KOPALA) DI PESANTREN YATIM CAHAYA MADINAH TANGERANG
Authors: Ayundasari Dyana , Rahmah Aulia , Bungsu Dedek Putra , Agustiawan Feri , Sari Pety Tanjung , Arifianto Chandra Fitra
Published: September 2021

Today is the understanding of the values ​​of Pancasila in the younger generation is getting eroded. Of course, it is hoped that this will not happen to young santri. With a solid Islamic background, santri find it easier to understand the values ​​of Pancasila and do not fall into a negative understanding of Pancasila. Therefore, this community service activity aims to provide a new understanding of the use of visual media in the form of the Pancasila Comic (abbreviated as KOPALA). In realizing this goal, the methods used are lectures and evaluation using games by utilizing devices that can display comic visuals. At the same time, the participants who were included in this activity were the santri, who were also students at the Madrasah Ibtidaiyah and Madrasah Tsanawiyah benches, totalling 17 santri. They are santri of Pesantren Yatim Cahaya Madinah in South Tangerang. In general, the implementation of the activities was successful although with some shortcomings, such as facilities. Furthermore, it is necessary to apply the same action to adolescents at the Madrasah Aliyah level and training for teachers in literacy, software and hardware, gadgets, and classroom management
PELATIHAN MERANCANG ASESMEN HASIL BELAJAR DI LBB TAMAN PINTAR LAMONGAN
Authors: Suryanto Hadi , Machsunah Yayuk Chayatun , Nurdiana Ratna
Published: September 2021

The Learning Guidance Institute (LBB) Taman Pintar Lamongan is a non-formal educational institution. Even though it is non-formal education, the assessment of learning outcomes for students must still be considered like formal education. The choice of Taman Pintar as a place for Community Service for us lecturers at PGRI Adi Buana University, Lamongan Campus, is inseparable because Taman Pintar is an institution that uses graduates on our campus as tutors in the last 10 years
Nonlocal Schrödinger Problem with Time Dependent Self-Adjoint Operator
Authors: SIRMA Ali
Published: September 2021

In this paper, in an arbitrary Hilbert space nonlocal boundary value problem for the Schrödinger equation with time dependent self-adjoint operator is studied. Stability estimates for the solution of this problem is established. To find an approximate solution of nonlocal boundary value problem for the Schrödinger equation with time dependent self-adjoint operator first order of accuracy Rothe difference scheme and second order of accuracy Crank-Nicholson difference scheme are constructed. Stability estimates of these difference schemes have been obtained. To obtain stability estimates, the theory of spectral representation of self-adjoint operator is used. In order to support theory, one dimensional in space variable, nonlocal in time variable and with a time dependent self-adjoint operator a numerical example for the Schrödinger problem is given. A modified Gauss elimination method is used to solve the difference schemes.
The Armenian Apostolic Church in the Politics of the Russian Empire: the Search for an Administrative Optimum
Authors: Urushadze Amiran
Published: September 2021

The article analyzes governmental debates on the functions, rights and privileges of the Armenian Catholicoi in the context of inter-institutional controversies. The author attempts to identify and analyze the most influential programmes for solving the “Echmiadzin issue” and their origins presenting at the same time certain aspects of political interaction between the Russian Empire and the Armenian Church as overlapping processes and related events. The history of relationships between Russian state and Armenian Church in XIX–XX centuries shows that different actors of the imperial politics had different ideas about the optimal model of cooperation with Echmiadzin. The divisions took place not only between the various departments (the Ministry of Internal Affairs versus the Ministry of Foreign Affairs), but also within them, where individual officials could hold “anti-departmental” views in each particular case. All this hindered administrative consolidation, slowed down the empire's response to important political challenges and dragged the imperial structures into protracted service-hierarchical confrontations. The “Etchmiadzin Question” and the governmental discussions around it show in part the administrative paralysis of the autocracy and the decompensation of the system of power in the Russian Empire in the early 20th century.

The article employs a rich documentary base of archival materials from the collections of the Russian State Historical Archive. These materials are introduced into the scholarly discourse for the first time ever.
Complications in the Second Stage of Labor With Breech Presentation, Working Out the Algorithm of Actions Within the Framework of Simulation Training
Authors: Kaganova M. A. , Spiridonova N. V. , Bordovskiy I. A. , Soloviev V. Yu.
Published: September 2021

The article proves the need to use simulation equipment when practicing the skill of obstetrics in breech presentation
Remote Assessment of Professional Competencies Using Simulation Technologies in the Context of COVID-19
Authors: Lopatin Zakhar
Published: September 2021

Due to the spread of the COVID-19 pandemic, face-to-face educational events and classes were transferred to a distance format, so the traditional II All-Russian Olympiad with international participation in therapy was also held in absentia on April 26-28, 2021. This format provided the opportunity for 759 students and residents to participate in it from 82 educational and scientific organizations in Russia, Kazakhstan, Uzbekistan, Tajikistan and Belarus. This article analyzes the Olympiad held in order to study the possibility of assessing professional competencies using distance technologies among students of 4-6 courses and residents of a therapeutic profile. As tools for assessing the formation of competencies, we used: testing knowledge using an electronic platform for remote testing and assessing practical skills using a computer screen simulator Body Interact. The analysis of the results showed that the bank of test tasks and clinical cases is valid, reliable, and can be used to assess the professional competencies of students in specialty and residency programs of a therapeutic profile.
Simulation training of interns in pediatrics and neonatology: assessment and stabilization of emergency conditions in children
Authors: Talkimbayeva N. A. , Kolbayev M. T. , Anuar A. , Latkina K. S. , Iglikova A. E.
Published: September 2021

The article confirms the need to use simulation training when practicing skills among interns in pediatrics and neonatology.
Periodic Accreditation of Healthcare Professionals in 2021: the Role and objectives of the CME portal
Authors: Logvinov Yu. I. , Gerken I. A.
Published: September 2021

The high need of modern healthcare for qualified specialists and a significant level of responsibility of medical and pharmaceutical workers to an individual citizen and society as a whole now dictate the need for continuous improvement of professional knowledge and skills.
Endoscopic technologies in medicine
Authors: Logvinov Yu. I. , Karpova A. Yu.
Published: September 2021

For the first time, endoscopic practice in our country began in 1976, by order of the USSR Ministry of Health No. 1164. The post of endoscopist was introduced in a polyclinic, one rate per fifty thousand patients, in general hospitals, inpatient clinics and in oncological dispensaries and oncological hospitals, one rate per hundred beds.
Simulated Patient or Patient-Robot in Teaching Doctors Professional Communication — Unity of Opposites
Authors: Dyachenko E. V.
Published: September 2021

Research shows that bedside communication training (in the workplace) is more effective if trainees have mastered the doctor-patient simulation cycle. The technologies are different: virtual and simulated patients, robotic patients. What learning tasks can they solved? Is it possible to effectively train doctors in professional communication with the involvement of virtual patients and robotic patients?
Simulation Training for the Formation of Practical Competence of Nurses
Authors: Abelskaya I. S. , Kaminskaya T. V. , Borushko O. S.
Published: September 2021

The publication is devoted to the experience of organizing and conducting simulation training for nurses and pharmacists on the basis of a high-tech multidisciplinary clinic. The authors provide information on training courses for nurses in the dental, procedural, endoscopic rooms, as well as for paramedics, midwives, ambulatory physician assistant and pharmacists.
The Importance of E-learning on the LECTURIO Platform in Mastering the Methodology for Examining Patients with Cardiovascular Diseases by Students of RUDN University
Authors: Tania R. V. , Nikitin I. S. , Kostsova N. G. , Tigay Zh. G.
Published: September 2021

In recent years, there has been an acute problem of the lack of patients to demonstrate and practice the skill of determining the auscultatory syndrome. In addition, due to the pandemic, universities were forced to use distance learning technologies (DLT). The aim of this study was to assess the importance of training on the Lecturio platform in mastering the methodology of examining patients with cardiovascular diseases. The results demonstrate the effectiveness of combining the online educational platform Lecturio with simulation training, especially at the stage of active implementation of distance learning.