bluuebunny/crossref_metadata_2025 huggingface dataset:
A Decoder – Look up Tables for FPGAs
Authors: Tyurin Sergey F. , Vikhorev Ruslan V.
Published: October 2021

The FPGA (Field-Programmable Gate Array) has recently become the popular hardware and so-called LUTs (Look up Tables) are the basic of the FPGAs logic. For example, n-LUT is the MOS pass transistors multiplexer 2n-1 which input data receive SRAM cells logic function configuration (user’s projects Truth Table). Address inputs of the LUT are the variables. Therefore, we get one n-arguments logic function for the actual FPGA configuration. To get m functions (even with the same n-arguments) we should take m LUT. Authors propose a novel Decoder n-LUT (n-DC LUT), which makes possible to get m functions with the same n-arguments, like in Program Logic Array (PLA) CPLD (Complex Programmable Logic Device). DC LUT activates one of the 2n product terms outputs. Combined with OR product terms we can get m functions with the same n-arguments. To do this option we can use, for example, FPGAs typical connections units. The restriction of Meade-Conway for the FPGAs allows n=3 in one tree. Two 3-LUTs with one 1-LUTs form 4-LUT. Modern Adaptive Logic Modules (ALM) have n=8, but not all possible functions are implemented. The article deals with the design and investigation of some variants 3-DC LUT: with pull up output resistors, with orthogonal output circuits, with orthogonal transistors for each pass transistor. Simulation confirms the feasibility of the proposed method and shows that DC LUT with orthogonal output circuits is better variant of the systems realization in terms of current consumption and time delay at large n. A further development of the ALM concept may be the introduction of adaptive DC LUT, which, by tuning, can calculate single LUT function or 2n decoder functions. The proposed elements allow to increase the functionality of the FPGAs.
Fast Recognition using Bar-based Data Mapping for Gamelan Music Genre Classification
Authors: Hastuti Khafiizh , Andono Pulung Nurtantio , Syarif Arry Maulana , Azhari Azhari
Published: October 2021

This research aims to develop a gamelan music genre classifier based on the musical mode system determined based on the dominant notes in a certain order. Only experts can discriminate the musical mode system of compositions. The Feed Forward Neural Networks method was used to classify gamelan compositions into three musical mode systems. The challenge is to recognize the musical mode system of compositions between the initial melody without having to analyze the entire melody using a small amount of data for the dataset. Instead of conducting a melodic extraction from audio signal data, the text-based skeletal melody data, which is a form of extracted melodic features, are used for the dataset. Unique corpuses are controlled based on the cardinality of the one-to-many relationship, and a data mapping technique based on the bars is used to increase the number of corpuses. The results show that the proposed method is suitable to solve the specified problems, where the accuracy in recognizing the class of unseen compositions between the initial melody achieves at 86.7%.
On the Statistical Analysis of ZUC, Espresso and Grain v1
Authors: Shrivastava Saurabh , Lakshmy K. V. , Srinivasan Chungath
Published: October 2021

A stream cipher generates long keystream to be XORed with plaintext to produce ciphertext. A stream cipher is said to be secure if the keystream that it produces is consistently random. One of the ways by which we can analyze stream ciphers is by testing randomness of the keystream. The statistical tests mainly try to find if any output keystream leaks any information about the secret key or the cipher’s internal state and also check the randomness of the keystream. We have applied these tests to different keystreams generated by ZUC, Espresso and Grain v1 stream ciphers to check for any weaknesses. We have also proposed four new statistical tests to analyze the internal state when the hamming weight of key and IV used is very high or low. Out of these four tests, Grain v1 fails the last test i.e. internal state correlation using high hamming weight IV.
Non-destructive Photosynthetic Pigments Prediction using Multispectral Imagery and 2D-CNN
Authors: Prilianti Kestrilia Rega , Anam Syaiful , Brotosudarmo Tatas Hardo Panintingjati , Suryanto Agus
Published: October 2021

Rapid assessment of plant photosynthetic pigments content is an essential issue in precise management farming. Such an assessment can represent the status of plants in their stages of growth. We have developed a new 2 Dimensional-Convolutional Neural Network (2D-CNN) architecture, the P3MNet. This architecture simultaneously predicts the content of 3 main photosynthetic pigments of a plant leaf in a non-destructive and real-time manner using multispectral images. Those pigments are chlorophyll, carotenoid, and anthocyanin. By illuminating with visible light, the reflectance of individual plant leaf at 10 different wavelengths – 350, 400, 450, 500, 550, 600, 650, 700, 750, and 800 nm – was captured in a form of 10 digital images. It was then used as the 2D-CNN input. Here, our result suggested that P3MNet outperformed AlexNet and VGG-9. After undergoing a training process using Adadelta optimization method for 1000 epochs, P3MNet has achieved superior MAE (Mean Absolute Error) in the average of 0.000778 ± 0.0001 for training and 0.000817 ± 0.0007 for validation (data range 0-1).
Hybridization of Brownboost and Random Forest Tree with Gradient Free Optimization for Route Selection
Authors: Tamilselvi P. , Ravi T.N.
Published: October 2021

MANETs are self-organizing network architectures of mobile nodes. Due to node mobility, wireless network topologies dynamically various over time.   A novel link stability estimation technique called Hybridization of Brownboost Cluster and Random Forest Decision Tree with Optimized Route Selection (HBCRFDT-GORS) technique is introduced for increasing the reliable data delivery by eliminating the stale routes in MANET. Brown Boost technique is applied to find the route paths having the smaller number of hop counts to perform the data transmission. After that, the status of the mobile nodes in the selected route paths is determined based on the residual energy and signal strength. Then, a random forest decision tree is applied to correctly identify the stale routes by finding the link failure due to the selfish node and the corruptive node along the route path. Then the broken link is removed from the route path. After eliminating the stale route from the path, the HBCRFDT-GORS technique finds the alternative optimal route through the gradient free optimization.  The proposed HBCRFDT-GORS technique performs stale route elimination and improves reliable data delivery from source to destination. Simulation is conducted on different performance metrics such as routing overhead, packet delivery ratio, packet drop rate, and delay with respect to the number of data packets. The Network simulation results indicate that the HBCRFDT-GORS technique is improving the data delivery and and minimizing the delay as well as reducing the packet losses when compared to the baseline approaches.
Hashtags Influence Maximization: Choosing the most Influential Hashtags on Instagram
Authors: Purba Kristo Radion
Published: October 2021

This study aims to find influential hashtags using Influence Maximization (IM). The IM approach was implemented using hashtags network collected from Instagram. This study can help business or ordinary users to choose the most engaging hashtags for posting, as opposed to selecting influencers, which was widely studied using the IM approach. The network was build based on the hashtags co-appearance frequency. Three IM algorithms, i.e. SSA, DSSA, and IMM, were simulated under the IC and LT models. The algorithms were compared against TopUsage, which is the top hashtags based on the usage count. The IM algorithms have a similar performance with TopUsage in influence spread, which shows that IM can adapt to the hashtags network. However, the IM algorithms produced better hashtags based on the UER (unique engagement rate) metric. The best UER performance was shown by DSSA under the LT model, where it outperformed TopUsage by 17.23%. In the hashtags categorization scenario, DSSA-LT outperformed the UER of TopUsage by up to 6.87%. This categorization is more useful in a practical scenario, to find only relevant hashtags for posting. The hashtags generated by DSSA-LT are about 30-35% different from TopUsage.
Comparison of Semantic Convolution Neural Networks on the Example of Crack Segmentation in Asphalt Images
Authors: Mustafina Svetlana , Akimov Andrey , Mustafina Sofia , Plotnikova Alexandra
Published: October 2021

The article is devoted to a comparative analysis of the effectiveness of convolutional neural networks for semantic segmentation of road surface damage marking. Currently, photo and video surveillance methods are used to control the condition of the road surface. Assessing and analyzing new manual data can take too long. Thus, a completely different procedure is required to inspect and assess the state of controlled objects using technical vision. The authors compared 3 neural networks (Unet, Linknet, PSPNet) used in semantic segmentation using the example of the Crack500 dataset. The proposed architectures have been implemented in the Keras and TensorFlow frameworks. The compared models of neural convolutional networks effectively solve the assigned tasks even with a limited amount of training data. High accuracy is observed. The considered models can be used in various segmentation tasks. The results obtained can be used in the process of modeling, monitoring, and predicting the wear of the road surface.
A Hybrid Grasp-genetic Algorithm for Mixed-model Assembly Line Balancing Problem Type 2
Authors: Belkharroubi Lakhdar , Yahyaoui Khadidja
Published: October 2021

In manufacturing systems, mixed model assembly lines are used to produce different products to deal with the problem of customers’ demands variety, and minimizing the cycle time in such assembly line is a critical problem. This paper addresses the mixed model assembly line balancing problem type 2 that consists in finding the optimal cycle time for a given number of workstations.  A hybrid Greedy randomized adaptive search procedure-Genetic algorithm is proposed to find the optimal assignment of tasks among workstations that minimize the cycle. A Ranked Positional Weight heuristic is used in the construction phase of the proposed GRASP, and in the local search phase, a neighborhood search procedure is used to ameliorate the constructed solutions in the construction phase. The GRASP is executed many times in order to seed the initial population of the proposed genetic algorithm, and the results of the executions are compared with the final solutions obtained by the hybrid GRASP-GA. In order to test the proposed approaches, a numerical example is used.
Algorithms for Solving Inverse Problems of Simulation Modeling
Authors: Gribanova Ekaterina
Published: October 2021

This paper is devoted to solving inverse problems of simulation modeling, which are presented in the form of an optimization problem. The article discusses the use of direct search methods taking into account the specifics of the problem under consideration. Due to the fact that these methods require a lot of computational experiments, two algorithms based on approximation were proposed for solving the problem. The first algorithm consists in determining and evaluating the parameters of the function of dependence (which can be linear or non-linear) of the output variable on the input variables and solving the inverse problem by minimizing increments of the arguments. In the second algorithm a linear function of dependence is iteratively constructed using the data set generated by changing the input variables in given increments, and the inverse problem is solved by minimizing increments of the arguments. The classical inventory management model with a threshold strategy is considered as an example. The inverse problem was solved using direct search and approximation-based methods.
Computing Concentration Distribution of Lump Additives in Argon-stirred Melt
Authors: Krasnikov Kyrylo S.
Published: October 2021

To modify easily chemical consistence of molten steel metallurgical plants usually add alloys in a form of lumps through a hopper at ladle`s top. The problem is a large variety of adjusted technological conditions for this process, which leads to iterative discovery of rational ones. The article presents synthesis of a mathematical model for the mentioned process using Navier-Stokes and Euler-Lagrange equations. It is designed for researching of process modes depending on: a horizontal position of addition hopper relatively to argon plug at ladle bottom, an average diameter of spherical addition lumps, a total mass of addition heap, a necessity of the second hopper, a temperature of the melt. It takes into account interconnected three-dimensional fluid and solids dynamics, temperature exchange between melt and lump, also it computes level of concentration homogenization. A numerical experiment shows a significantly better addition homogenization when two hoppers are simultaneously used for a feeding. Adequacy checks are performed using ice balls in air-stirred water.
A note on what do we talk about when we talk about Chinese Research?
Authors: Sposato Martin
Published: October 2021

This research note addresses the question stated in its title, what do we talk about when we talk about Chinese research? The article provides arguments for an understanding of Chinese research as a cultural unit, regardless of regional, political and historical differences that can be found in different territories. This does not mean the regional, political and historical differences are not relevant to researchers, on the contrary, they must be taking into account by researchers. Cultural similarities are needed to connect the different types of Chinese cultures, but not at the expense of omitting regional differences.
Quantitative Research to Investigate the Relationship of Factors Affecting Employee
Authors: Mazahir Zara , Rehman Zia
Published: October 2021

This explanatory research aims to study an association between the factors affecting the performance of banks working in Pakistan. The current study was conducted using a cross-sectional research design, data for this study was collected from 5 private banks of Lahore, Pakistan. A total sample of three hundred bankers was recruited by using a random sampling technique and their ages ranged between 25-45 years. For the analysis of the hypothesis, diverse statistical instruments like PROCESS analysis for mediation and Pearson Product Moment correlation are applied. The results of the study show that employee loyalty, as well as service quality, mediates an association between employee empowerment and financial performance. Numerous other variables influence the financial performance of banks which are not included in this study. The proposed model guides the management in analyzing the service sector's performance.
Entrepreneurial feminism in Kigali
Authors: Naicker Visvanathan , Nsengimana Simon
Published: October 2021

Entrepreneurship has been attributed to a masculine career in many economies. Rwanda was no exception to the discrimination of women in entrepreneurship. Due to gender, stereotype, and patriarchy, Rwandan women were not free in deciding to participate in entrepreneurial feminism. Some women became liberalists to break the glass ceiling to launch entrepreneurial feminism. They faced constraints that included a lack of entrepreneurship skills, market opportunity, and fear of failure. This article aimed to explore how gender affects new entrepreneurial feminism creation in Kigali. A quantitative approach used to collect survey data from 409 women-owned SMEs in Kigali were selected purposively. The findings indicated that most women-owned SMEs in Kigali started a necessary business due to unemployment. In contrast, those who needed time to care for their family while generating income launched the opportunity business. (64.3%) accepted permission from partners to start a business. While (24.9%) broke the glass ceiling. A lack of entrepreneurship skills was the major constraint they faced.
Algorithmic trading based on the fear of Covid-19 in Europe
Authors: Gómez Martínez Raúl , Prado Román Camilo , Cachón Rodríguez Gabriel
Published: October 2021

he spread of Covid-19 in Europe has affected our way of living, thinking, and even investing. The fear of the epidemic caused a context of maximum uncertainty and volatility in financial markets, which were driven by fear of the spread of the epidemic. In this article we propose an algorithmic trading system on the future of the Eurostoxx 50 that, instead of following technical indicators, follows the number of cases confirmed by Covid-19 in Europe. The back test of this system carried out throughout the weeks of confinement shows that the system is profitable. In this context, confirmed cases data is useful to assess investors’ mood and anticipate the evolution of the market. Therefore, an alternative way of investing arises for maximum uncertainty contexts, based exclusively on behavioral finance.
The Effectiveness of Social Media Marketing. A Case of Lagos Nigeria
Authors: Eze Ikenna Franklin , Ruhode Ephias , Iwu Chux
Published: October 2021

Small businesses are drivers of any economy because of their capacity to, among others, provide employment to the people and the owners. Their extinction will greatly affect a nation. This study focused on small enterprises in Lagos, Nigeria and how social media is deployed in them. The study is necessary because most small enterprises in Nigeria do not make it past the first few years of operation. Perhaps the adoption of social media by small businesses in Lagos may create extra opportunities for their growth. A questionnaire was employed to collect data from participants since it was less expensive and allowed for huge amounts of data to be gathered in a short amount of time. This study shows that the majority of small enterprises in Nigeria employ social media to promote their goods and services. Most business owners confirmed that the platform is efficient when applied in business. The findings also reveal that some enterprise owners are still yet to implement social media marketing into their advertising plans. Some implications and recommendations are flagged.
Exploring the impact of COVID-19 on the taxi industry in the City of Johannesburg
Authors: Wakelin-Theron Nicola , Ukpere Wilfred Isioma
Published: October 2021

The tourism sector is currently one of the hardest hit by the pandemic, with impacts on both travel supply and demand. The transport system forms a key part of tourism, including the tourist experience at a destination. This research sought to understand how the taxi industry operates within the City of Johannesburg under the government restrictions imposed during COVID-19.

The study adopted a qualitative research approach, based on interpretative phenomenological analysis (IPA) to explore the topic. Semi-structured individual interviews were conducted with participants who were purposively selected from the Johannesburg CBD taxi rank.

Insufficient sanitisation and the breaching of curfews were observed. Limited guidance was provided during the initial stages of the pandemic, with no formal training. Financial support was made available, but drivers did not receive funds, as they did not comply with the requirements for membership of the Unemployment Insurance Fund (UIF) and Temporary Employee Relief Scheme (TERS) (Melzer, 2020). Illegal full-capacity loading and price increases were also evident. All participants seem to have expressed some form of anxiety, loneliness and uncertainty. Few suggestions were proposed towards sustainable practices and innovative technological means to support the industry during the lockdown and going forward.
COVID-19 pandemic: a qualitative evaluation of MSMEs survival strategies in Nigeria
Authors: Eze Benneth Uchenna , Agbi Babatunde , Adenuga Ademolu Oluwaseun
Published: October 2021

The COVID-19 pandemic has led to the introduction of protection measures, such as: Lockdown, social distancing, closure of event centers, curfew, closure of night clubs and the discouragement of the gathering of large crowd, among others. These protection measures have negatively impacted most business enterprises. This has equally threatened the corporate survival of most enterprises, especially micro, small and medium enterprises (MSMEs). This study examined the chief executives of MSMEs’ perspectives on the strategies that were employed to survive during the Covid-19 pandemic in Nigeria. This study adopted exploratory research design. The study was conducted in three purposively selected states (Lagos, Kano and Anambra states) because the three states account for the largest concentration of MSMEs across the three largest ethnic groups in Nigeria. The primary data was gathered through in-depth interviews which were conducted on 24 purposively selected MSMEs CEOs from Lagos, Kano and Anambra States. The findings revealed that MSMEs were adversely impacted by the Covid-19 pandemic. Particularly, states that enforced strict lockdown. This led to reduction in patronage, thereby threatening the corporate survival of most enterprises, especially enterprises that do not deal on essential commodities, like: Drugs, food and health care, among others.
Promoting the Mental Health of Healthcare Workers during COVID19 Pandemic
Authors: Adekanmbi Foluso Philip , Ukpere Wilfred Isioma
Published: October 2021

This paper examines the influence of work-related stress, social support, fear of COVID-19, and demographics in promoting mental health (MH) amongst healthcare workers (HCWs) in Nigeria. Hence, it adopted a survey research design. The results showed that work-related stress, social support, fear of COVID-19, and demographics strongly and jointly influence healthcare workers’ mental health in Nigeria. Also, they indicated a significant independent influence of these independent factors on healthcare workers’ mental health. The results show that out of the demographics considered in this study (such as gender, age, marital status, level of education, profession, department, work experience, and state of residence), only marital status did not significantly influence the healthcare workers’ mental health in Nigeria. So, the government, health faculties, clinical psychologists, human resources managers, and medical practitioners should encourage reducing work-related stress. This should be done by increasing social support, reducing fear of COVID-19, and considering demographics while trying to promote healthcare workers’ mental health in Nigeria, especially during the current COVID -19 pandemic era. Thus, this paper has recognized work-related stress, social support, fear of COVID-19, and demographics as significant influencers in promoting mental health amongst healthcare workers in Nigeria.
COVID-19 pandemic and the South African township economy
Authors: Omonona Solomon , Oni Olabanji , Oluwole Joseph
Published: October 2021

This paper aims to assess the relationship between COVID-19 pandemic and the South African township economy in King William’s town, South Africa. The research methodology utilized a descriptive cross-sectional (survey) design. The population included micro and small business owners and or managers in King Williams Town, South Africa. Random sampling technique was used to sample 210 participants. The data were collected from owners/managers of micro and small businesses using a questionnaire method. The average age of the participant was 29 years (SD = 1.12), 37.6% were males while 62.4% were females. The findings of this study revealed the impact of the pandemic on micro and small businesses in the township area and that COVID-19 pandemic negatively affected micro and small business performance. The study therefore concludes that South Africa's lockdown measures introduced to contain the virus have had a significant economic impact on the township economy, particularly on micro and small businesses, which account for the majority of the township economy.
post-COVID-19 retail landscapes
Authors: Abe Isaac , Mugobo Virimai
Published: October 2021

This paper offer insight to the substantial role of the small and medium retailers (S&M) and how Covid-19 has impacted the sector. The economic contribution of this group of retailers have been noted to be high. Policy measures of the government of South Africa in response to the pandemic was severe on the informal retailers who were stopped from operating their businesses. The paper highlighted the internal and external struggles and opportunities of the retailers. There is the need to revalue the sector according to its contribution to the society, assist the retailers to improve on their infrastructure, formalise their practises, embark on reform programmes aimed at improving their capacities.
Brief notes on the effects of the coronavirus on e-sales of small and medium-sized companies in Spain
Authors: Vargas Portillo Patricia
Published: October 2021

Flexible business models, with strong e-commerce platforms and capable of generating synergies with other companies and local suppliers, are profiled as the best able to face the economic impact of COVID-19 in the year that we are in now: 2021. For the business fabric of the entire world - from small companies to multinationals - the arrival of the coronavirus has been an unprecedented crisis, for which no one was prepared. In the last half year, hundreds of businesses have disappeared, and it is already expected that many others will do so during 2021.
The Impact of the Professional Competence of the Internal Auditor in Improving the Quality of Accounting: Analytical Study
Authors: Kadim Jasim Rahi , Sabti Yousif Mousa , Ali Ghazanfar , Khdair Wameedh A. , Shaltag Karim  Hazen
Published: October 2021

The aim of the research is to test the impact of the professional competence of the internal auditor in improving the quality of accounting information (QAI). The research community consists of a group of Iraqi private banks listed in the Iraqi Stock Exchange, and the research sample includes accountants, internal auditors and internal audit managers, and for the purpose of data collection, the researcher prepared a questionnaire form, as (52) forms were distributed to the individuals of the research sample and (49) forms were recovered from them, and the form valid for analysis reached (44) forms. The data of which were analyzed using the statistical package (SPSS). The research reached conclusions, including the existence of a correlation and moral effect between the variables of the research, and among the recommendations made by the research directing banks’ attention to the need to continue holding conferences and seminars in coordination with the competent bodies and academics to develop the capabilities and capabilities of internal auditors in companies.
Perancangan Augmented Reality sebagai Media Edukasi Gempa Bumi
Authors: Pradana Yudha , Oktavian Riki
Published: October 2021

Edukasi mengenai gempa bumi di Indonesia harus dioptimalkan. Salah satu alternatif optimalisasi edukasi mengenai gempa bumi ialah melalui penggunaan media augmented reality. Penggunaan media augmented reality sejalan dengan kemajuan teknologi informasi yang juga familiar dalam kehidupan masyarakat. Rumusan masalah dalam penulisan ini ialah bagaimana perancangan augmented reality sebagai media edukasi gempa bumi?. Tujuan penulisan ialah untuk mengetahui perancangan augmented reality sebagai media edukasi gempa bumi. Metode penulisan menggunakan pendekatan kualitatif dengan teknik pengumpulan data melalui wawancara, observasi, dan studi pustaka. Model pembuatan augmented reality menggunakan model waterfall yang terdiri dari analysis, design, implementation, testing, dan maintenance.  Konten augmented reality yang memuat animasi 3D mengenai jenis-jenis proses gempa bumi dan terjadinya gempa bumi, serta video animasi 2D mengenai mitigasi bencana yang dikemas secara lengkap dan menarik.
Evaluation of the technological properties of down based on the technology of dying the down of goats of coarse-haired, down and wool breeds
Authors: Jurinskaya I. M. , Rakhimova S. M. , Kenzhebaeva T. E. , Niyazbekov B. ZH. , Iskakov K. A.
Published: October 2021

The article is devoted to the study and assessment of the technological properties of down based on the technology of dyeing down from goat wool from various genotypes of goats of the republic. The dyeing was carried out under laboratory conditions with Italian dyes. The dependence of the color intensity for downy fibers is described by polynomial equations of the second and third degree. It has been shown that goat down fibers have good dyeing ability, dyeing uniformity and show good dyeing performance in standard modes.
The use of substandard grain in the technology of compound feed of increased nutritional value
Authors: Altynbayeva G. К. , Baimukhanova J. В.
Published: October 2021

The article discusses the complex processing of substandard grain and by-products of processing agricultural raw materials in the technology of obtaining a combined feed with increased nutritional value.A method for processing feed with polysteam lactic acid ferment based on whole-ground soy flour and wastes from processing soybeans in the presence of 0.5% lactose solution is proposed. The optimal modes of feed biofermentationhave been established: pH – 5.2, medium temperature - 25°C. There was an increase in the finished product of reducing substances by 23.3%, crude protein up to 12.8%.The proposed method in the production of compound feed allows you to process substandard wheat grain, obtain a protein mass, dispose of production waste - soybean meal, thus eliminating sources of environmental pollution.
Effects of fermentation on the degree of breaking up of bone particles in meat and bone paste from cattle bones
Authors: Kakimov A. , Mayorov A. , Baikadamova A. , Kabdylzhar B. , Syuichinov A. , Yessimbekov Z.
Published: October 2021

Bone processing is an urgent task of rational use of meat industry waste. Disposal of cattle bones can be carried out by different methods. Various methods are used for processing bone raw materials, such as mechanical processing, chemical hydrolysis, ultrasonic processing, etc. Processed meat and bone raw materials in meat and bone paste are chemically exposed to ascorbic acid (0.05 M, 1 h, 25 ° C) and pepsin (pH 2.0, t=10...40 ° C, τ=1...8 h). This allows you to reduce the mass of bone particles in meat and bone paste by 70%. Meat and bone paste subjected to enzyme processing can be used in the technology of meat products.
Research of the vitamin composition of medicinal herbs in the development of immunostimulating confectionery products
Authors: Pronina Yu. G. , Nabiyeva Zh. S. , Bazylkhanova E. Ch. , Belozertseva O. D. , Samadun A. I.
Published: October 2021

This article reflects the results of a study of the content of vitamins, polyphenols, antioxidants in medicinal raw materials of local origin (licorice root, St. rose hips, flax seeds) in order to study their beneficial properties as a component for marmalade products that have an immunostimulating effect. According to laboratory studies, the largest amount of polyphenols is found in the leaves of sea buckthorn and St. John's wort (60.02% and 12.82%, respectively), antioxidants (3.61 mg / 100 g and 2.49 mg / 100 g) and most of the B vitamins (В₂ in sea buckthorn leaves 0.777 mg / 100 g, and in St. John's wort 0.088 mg / 100 g, В₅ - 1.506 mg / 100 g and 0.061 mg / 100 g, respectively, В₆ - 0.680 mg / 100 g in sea buckthorn leaves and 0.427 mg / 100 g in St. John's wort). A high content of vitamin C was found in rose hips (4.355 mg / 100g) and St. John's wort (4.314 mg / 100g). In the leaves of sea buckthorn, the content of ascorbic acid is 1.409 mg / 100 g, which is 67% less compared to St. John's wort. In this regard, it follows that the most promising raw materials for imparting an immunostimulating effect to marmalade confectionery products are sea buckthorn leaves and St. John's wort.
Methodology for determining of the main characteristics of a refrigeration system with condensation heat removal by radiative cooling
Authors: Tsoy A. P. , Granovskiy A. S. , Jamasheva R. A.
Published: October 2021

To reduce the condensation pressure of the refrigerant in the summer, refrigeration system has been developed, in which, during periods of high air temperature, the heat of condensation is removed to the coolant, which was pre-cooled at night due to radiative cooling. A methodology has been developed for determining the main characteristics of the elements of the proposed system and calculating its daily energy consumption. The calculation shows that the proposed system with a nominal refrigerating capacity of 10 kW, using the R404a refrigerant, allows in the climate of the city of Shymkent to reduce the condensation temperature to +32.9°C, and daily energy consumption by 6.5% compared to an ordinary vapor compression refrigeration machine.
Research of elastoplastic deformation of dough from flour of the first and second grades
Authors: Iztayev B. А. , Iztayev А. I. , Yakiyayeva М. А. , Baiysbayeva М. P.
Published: October 2021

The article presents the results of a study of changes in the structural and mechanical characteristics of yeast-free dough from the properties of the flour used. The dough was prepared from wheat flour of the first and second grades in different ways using ionized water: without fermentation activation, with the addition of whey powder, with natural sourdough, also with natural sourdough with the addition of whey powder. The processing of the test results made it possible to establish that the elastoplastic deformation of the dough depends on the composition (formulation) of the dough. The main peak of deformation of the dough made from flour of the first grade was observed up to 21.50 sec, and the second grade - up to 10.20 sec, and the force of elastoplastic deformation was equal to 50 N.
Development of functional purpose snacks
Authors: Sinyavsky Yu. A. , Tuigunov D. N. , Deripaskina E. A. , Sarsembaev H. S. , Barmak S. M. , Redko V. A.
Published: October 2021

The article provides information on the development of new functional snacks based on local traditional and non-traditional raw materials. The uniqueness of the composition of snacks is associated with the presence in the recipe of dry mare's and camel's milk, as well as fruit and vegetable purees, dry strains of lacto and bifidobacteria, fucoidan and other food ingredients with increased nutritional and biological value. Evaluation of the chemical composition of the nutritional and biological value of snacks indicates their targeted antioxidant, detoxifying and immunostimulating properties. Functional snacks are recommended for use by the general public, including climbers, pilots of civil and military aviation, athletes, as well as in emergencies and conditions that adversely affect human health.
Study of the effect of vegetable raw materials on the rheological parameters and vitamin composition of pasta
Authors: Akhlan T. , Zhumaliyeva G. , Zhuman N. , Abilmazhin B. , Spatay N.
Published: October 2021

In this article, the rheological and vitamin composition of the dough prepared by adding nettle flour and corn flour as non-traditional raw materials to the composition of pasta under laboratory conditions is studied. The results of previous studies of dioecious nettle have shown that the plant contains a certain amount of carotene, calcium, formic acid and panthenonic acid. These indicators indicate an improvement in the vitamin composition of pasta prepared according to the new recipe. The rheological quality of the dough, the vitamin composition of the finished product prepared according to the first sample, including 20% corn flour and 2% nettle flour (Urtica dioca L) in the recipe, show that the quality of this sample is better than that of the control and second sample, and is approved as an effective sample for the preparation of new types of pasta.
Analysis of innovative developments in the field of foamed materials
Authors: Zufarova Z. U. , Tashpulatov S. SH. , Cherunova I. V. , Yaven Zhen
Published: October 2021

In this article, an analytical method is carried out in innovative developments in the field of diving suits with high thermal conductivity. Examples are given of the developments of the athlete and scientist Jack O’Neill, as well as the innovative developments of American chemists under the leadership of Jacopo Buongiorno from the Massachusetts Institute of Technology. Developers, together with chemists, on the basis of research, introduce small chemical elements into the pores of neoprene fabric, thus achieving the necessary thermal stability, flexibility and strength. During the analytical method, not only neprene wetsuits were studied, but also the latest developments in the field of eco-suits. This foam is made from limestone, as it is a natural material, which allows these suits to reduce the negative impact on the environment.
Application of 3D technologies in modeling the design of clothes with elements of national décor
Authors: Djurayeva Sh. G. , Tashpulatov S. Sh. , Cherunova I. V.
Published: October 2021

This article presents the results of modeling and designing modern clothing with national decorative elements using the program of three-dimensional modeling of Marvelous Designer, AutoCAD and CLO 3D. The functions and potential of the Marvel designer (MD) CLO 3D automated systems are also considered. It is concluded that these automated systems are most suitable for modeling clothes with decor.
Technical inspection of vehicles in Russia according to international agreements with the participation of Russia
Authors: Kisulenko B. V.
Published: October 2021

Introduction (problem statement and relevance). In connection with the development of the vehicle technical inspection system in the Russian Federation, it is relevant to compare the requirements for vehicles, which Russia supports, in the international agreements and at the national level.

Methodology and research methods. The analytical method is applied.

The purpose of the study was to analyze the current state of safety requirements for vehicles during regular technical inspections in the Russian Federation, that is UN Regulations annexed to the Vienna Agreement of 1997, and the technical regulations of the Eurasian Economic Union “On the safety of wheeled vehicles”.

Scientific novelty and results. The scientific novelty results in the analysis which shows that the 1997 Vienna Agreement documents introduce a level classification of defects discovered during the technical inspection, but the existing uncertainty of the defect interpretation can cause a conflict between the inspector and the owner of the inspected vehicle. In contrast to these documents, the diagnostic card of the technical inspection in Russia sets the requirements out clearly and unambiguously, which excludes their ambiguous interpretation.

Practical significance. The research results can be used to improve the technical regulations of the Eurasian Economic Union in the field of automobiles and to develop national legislative acts of the Russian Federation in this area, as well.
Orbital Swelling: An Unusual Case of Relapsed Acute Lymphoblastic Leukaemia in A Preschool Child
Authors: Mohd Radzi Muhammad Amiro Rasheeq , Nasir Ariffin , Ismail Shatriah , Zulkeflee Razan Hayati , Haron Juhara , Mohamad Norsarwany
Published: October 2021

Acute lymphoblastic leukaemia (ALL) is the most frequent childhood cancer. Children usually present with signs of bone marrow failure like recurrent or prolonged fever, pallor, lethargy, bleeding tendencies, bone pain and others. Occasionally they may present with sign of infiltration of leukaemic cells into other organs such as testicular and central nervous system, rarely to the periorbital or orbital region. Similarly in relapse cases, they typically presented either in bone marrow, central nervous system relapse or testicular but rarely orbital involvement.  Here we report the clinical case of a five-year-old boy who developed relapsed B-ALL, presented to us with unilateral right eye swelling without other clinical findings and absence of blast cells in the peripheral blood film as well as bone marrow aspirate specimen.
The use of mixed light-emitting diodes and natural light in combination with daylength affects turkey hen performance, eye development, and feather coverage
Authors: Bartz Brooke , Grimes Jesse L.
Published: October 2021

Lighting is a complex management tool in turkey production, controlled by three parameters; daylength, intensity, and chromaticity. As light-emitting diodes (LED) increase in popularity as alternatives to traditional light sources, research regarding LED impacts on commercial-type turkey production is lacking. Therefore, turkey hens of the same strain were reared under experimental brooding and grow-out conditions with six lighting treatments. An environmentally and light controlled facility (ECF) consisted of 5,000 Kelvin (K) LED or 5,000K + far-red LED (639nm) (RED) with either 12h short or 18h long daylength to test LED spectra. In the remaining treatments, hens were exposed to sunlight in a curtain-sided facility (CSF) as two treatments 1) natural decreasing daylength from September to November (NAT) or 2) natural daylight + 5,000 K LED lighting with an 18h long blocked daylength (BLK). The intensity was 9 footcandles in the ECF and naturally fluctuating in the CSF. Hen's performance was evaluated at 5, 9, and 14 weeks for eye development and feather coverage. Hens brooded and grown-out under NAT light had significantly increased body weight gain compared to BLK hens for the same period. Hens reared with RED LED spectrum had significantly increased eye anterior-posterior distance than birds raised in the NAT treatment. A significant reduction in red heat signature on the breast tissue in the NAT treatment compared to all other 18h treatments indicated improved feather coverage. However, these same results were not observed during serum thyroid hormone analysis. While turkey hens reared under different lighting programs had similar ending performance, lighting parameters significantly affected bird performance during the growing period, bird's eye development, and body feather coverage. Therefore, potential effects on growth patterns and physiology should be considered when choosing a LED lighting program for turkeys
Engenharia Elétrica: O Caminho para o Desenvolvimento Sustentável
Authors: Torné Israel Gondres
Published: October 2021

A inserção no mercado de trabalho atual e o desenvolvimento profissional do Engenheiro Eletricista estão associados às competências e habilidades adquiridas no decorrer do curso e à convivência com a criatividade, a capacidade de gerenciar, o trabalho em grupo, a capacidade empreendedora, a incorporação dos princípios básicos de comunicação e o relacionamento interdisciplinar nas suas atividades de engenharia com outros professionais. Por isso, comemorando com imensa satisfação 20 anos do Curso de Engenharia Elétrica da Escola Superior de Tecnologia da Universidade do Estado do Amazonas, é que alunos, professores e pesquisadores encaminharam manuscritos para compor os capítulos deste livro. O objetivo principal é fornecer à comunidade científica e ao público em geral, resultados de trabalhos de conclusão de curso, projetos de iniciação científica, projetos de extensão, projetos de pesquisa e de relatórios de experiências práticas das disciplinas do curso. Neste primeiro Volume o material é organizado e apresentado para uma leitura amena e agradável, desvendando temas relacionados com fontes de energia renováveis, a eficiência energética, o sistema elétrico nacional e outros assuntos, que levam a um caminho para o desenvolvimento sustentável, e assim contribuir desde as universidades para um Amazonas melhor e mais limpo. Boa leitura e bom aprendizado!
PENGGUNAAN PUZZLE UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA KELAS 4 SD PADA MATA PELAJARAN PAI
Authors: ANJALEKA KHOLIS
Published: October 2021

Penelitian ini bertujuan untuk meningkatkan motivasi belajar siswa kelas 4 SD Negeri 2 Kalibagor Situbondo dengan penggunaan media pembelajaran puzzle. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK) yang dilaksanakan sebanyak 2 siklus, dimana tiap siklusnya dilakukan sebanyak 2 kali pertemuan. Subyek penelitian ini adalah siswa kelas 4 SD Negeri 2 Kalibagor Situbondo semester ganjil tahun pelajaran 2021/2022 yang berjumlah 9 anak, 6 laki-laki dan 3 perempuan. Hasil penelitian ini menunjukkan bahwa motivasi belajar siswa dengan penggunaan media pembelajaran puzzle secara klasikal terjadi peningkatan dari 5 anak (56%) pada siklus 1 menjadi 8 anak (89%) pada siklus 2. Tingginya motivasi belajar siswa mempengaruhi peningkatan ketuntasan belajar siswa, yaitu dari 4 anak (44%) pada siklus 1 menjadi 8 anak (89%) pada siklus 2. Dengan demikian dapat disimpulkan bahwa penggunaan puzzle dapat meningkatkan motivasi belajar siswa kelas 4 SD Negeri 2 Kalibagor Situbondo tahun pelajaran 2021/2022 pada mata pelajaran Pendidikan Agama Islam (PAI).
PENINGKATAN HASIL BELAJAR SISWA MELALUI PENGGUNAAN MODEL MAKE A MATCH MATERI MENGENAL MALAIKAT ALLAH DAN TUGASNYA KELAS IV SDN MUKA SUNGAI KURUK SERUWAY
Authors: BAHRI SAMSUL
Published: October 2021

Penelitian ini bertujuan untuk mengetahui peningkatkan hasil belajar Pendidikan Agama Islam pada materi Mengenal Malaikat Allah dan Tugasnya bagi siswa kelas IV SD Negeri Muka Sungai Kuruk Kecamatan Seruway melalui penggunaan model make a match (mencari pasangan). Prosedur penelitian yang dilaksanakan peneliti dengan menggunakan jenis penelitian tindakan kelas (action research). Jenis penelitian tindakan kelas ini dirancang dalam dua siklus. Siklus I merupakan tindakan melalui model make a match (mencari pasangan). Pada siklus II merupakan perbaikan pembelajaran melalui model make a match (mencari pasangan) untuk meningkatkan hasil belajar dan meningkatkan aktivitas belajar siswa (activ learning). Data-data yang diperoleh setelah pelaksanaan tindakan selanjutnya dianalisis dengan analisis deskripsi komparatif. Dari hasil analis didapatkan bahwa hasil belajar siswa mengalami peningkatan yaitu pada siklus I siswa yang tuntas sebesar 63,33 % menjadi 90,00 % pada siklus II dari jumlah siswa 30 orang. Rata-rata hasil tes belajar pada siklus I dari 72,67 menjadi 87,00 pada siklus II. Sedangkan keaktifan belajar siswa meningkat yaitu pada siklus I siswa yang aktif sebesar 60.00% atau sebanyak 18 orang, menjadi 86.67% atau sebanyak 26 orang pada siklus II. Kesimpulan dari penelitian ini adalah model make a match (mencari pasangan) dapat meningkatkan hasil belajar siswa dan dapat berpengaruh positif terhadap aktifitas belajar siswa bagi kelas IV SD Negeri Muka Sungai Kuruk Kecamatan Seruway tahun pelajaran 2018-2019, serta model pembelajaran ini dapat digunakan sebagai salah satu alternatif pembelajaran Pendidikan Agama Islam.
صور الإيجابية في القرآن الكريم قصة سليمان -عليه السلام- في سورة النمل أنموذجًا دراسة موضوعية
Authors:   كلية الإمام الأعظم الجامعة / قسم الدعوة والخطابة, ابراهيم الجاف م.د. أحمد صديق
Published: October 2021

وضع الله سبحانه وتعالى في كتابه العظيم أسراراً لا تنتهي، وعجائبًا لا تنقضي، هو الذي لا يشبع منه العلماء، ولا يخلق على كثرة الرد وهو الكتاب الجامع المانع الذي يستره الله للعالمين، وتحدى به الثقلين على أن يأتوا بمثله ففي كل زمان تبرز في القرآن الكريم قضايا تناسب احتياج أهل ذلك الزمان وثقافتهم، فهو کتاب خالد، يتميز بالقدرة على العطاء، والامتداد والاستجابة لمعالجة مشكلات العصر ومتغيراته، فلما كان حظ العرب في وقت نزول الرسالة من الثقافة العلمية قليلا، وكانت براعتهم في مجال اللغة؛ برز جانب الإعجاز البياني؛ ليناسبهم، وأما في هذا الزمن زمن تعددت فيه صور اليأس والقنوط والسلبية، كان الاحتياج لإبراز معالم الإيجابية التي تناولتها الآيات القرآنية الكريمة العظيمة. إنَّ هذا البحث المعنون ( صور الايجابية في القران الكريم قصة سليمان -عليه السلام- في سورة النمل انموذجاً دراسة موضوعية ) يسعى إلى دراسة هذه الآيات، وبيان صور الايجابية فيها. الكلمات المفتاحية: صور/ سليمان/ النمل