bluuebunny/crossref_metadata_2025 huggingface dataset:
Near-infrared spectroscopy of Chinese soy sauce for quality evaluation
Authors: Chen Xiaoqian , Li Chuanwei , Liu Xiaofang , Su Yu , Sun Ziang , Yuan Lei , Wang Shuo
Published: January 2023

The feasibility of near-infrared (NIR) spectroscopy and partial least-squares regression (PLSR) was investigated for rapid prediction of the quality of Chinese soy sauce. Twenty-four soy sauce samples from eight common brands available in China were analyzed for the contents of various components that may affect the quality of soy sauce. Sensory evaluation was also conducted to determine the relationship between components and the sensory quality of soy sauce. Subsequently, NIR spectra (400–2500 nm) of the samples were obtained, and the raw spectra were subjected to different pretreatment methods. PLSR was performed on the raw and treated spectra to construct models using a calibration set. The performance of models was evaluated by comparing the determination coefficient of prediction (R2P) and root-mean-square error of prediction (RMSEP). The results showed that the models constructed using the moisture content (R2P of 0.825 and RMSEP of 1.73), amino acid nitrogen content (R2P of 0.785 and RMSEP of 0.071), and taste scores (R2P of 0.733 and RMSEP of 11.93) performed well, and the interactions between amino acid nitrogen content and taste of soy sauce were clarified. This study demonstrates that NIR spectroscopy can be used as a valid alternative method for rapid prediction of the sensory quality of soy sauce during processing.
The influence of Gnosticism and Manichaeism on Priscillianist doctrine, basing on Priscillianist and anti-Priscillianist sources
Authors: Sordyl Krzysztof
Published: January 2023

The aim of this article is to discuss how the Priscilliann’s thought corresponds to Gnostic-Manichaean doctrine. There is no doubt that Priscillian in his writings presents himself as an expert on various heterodox movements of his time. The true sources of Priscillianism need to be sought at the metaphysical level.
БЕНЧМАРКІНГ ВИКОРИСТАННЯ СИСИТЕМИ ЕЛЕКТРОННИЙ КАТАЛОГ ТА MOODLE
Authors: Королевич Є. М. , Гриньків С. Й. , Кривенко В. С. , Колесник В. В.
Published: January 2023

Сьогодення вимагає використовувати змішаний формат навчання, адже уявити сучасний світ без інформаційних технологій неможливо. Останні кілька років стали періодом надзвичайно стрімких та масштабних змін у сфері інформаційно-комунікаційних технологій. Розвиток комп'ютерної сфери напряму впливає на цей процесс. Для повноцінного забезпечення навчального процесу необхідно використовувати сінергію електронних ресурсів. Бібліотека є невід’ємною складовою навчального процесу. Для того щоб відповідати вимогам, що пред'являються бібліотекам сьогодні, бути затребуваними для користувача - потрібно забезпечити відповідність новим технологіям і формам функцій бібліотеки. Використання сучасних технологій в роботі НТБ дає можливість значно розширити інформаційне забезпечення навчального процесу. Однією зі складових є Електронний каталог НТБ ОНТУ, завдяки якому студент має можливість користуватися всіма привілеями сучасних інформаційних технологій. Найбільш значимим є можливість віддаленого доступу до навчально-методичної літератури та книг, які забезпечують повноцінний навчальний процес.
Метою дослідження є проведення аналізу забезпечення науково-методичними матеріалами електронного каталогу науково-технологічної бібліотеки ОНТУ. Методами дослідження було обрано аналіз – вивчення окремих частин та порівняння різноманітних підходів або їх складових, для отримання більш детального аналізу.
ДОСЛІДЖЕННЯ АСПЕКТУ ДІДЖИТАЛІЗАЦІЇ ТА ІМПЛЕМЕНТАЦІЇ СТАНДАРТІВ PAPERLESS ПРИ ФОРМУВАННІ ТА БЕНЧМАРКІНГОВУ АНАЛІЗУ ЗВІТНИХ ПОКАЗНИКІВ З НАУКОВОЇ ДІЯЛЬНОСТІ
Authors: Борцова Ю. В. , Люлька Б. В.
Published: January 2023

Ця стаття допоможе розглянути проблему використання суспільством web – ресурсів та потребу захисту від кібератак. В даному випадку – це захист даних.
В даній статті описуються три підходи до локалізації віддаленого хоста в мережі: whois, traceroute, and distributed traceroute. whois основна база даних, яка містить інформацію про мережі, підтримується організацією InterNic. Також приведений загальний вигляд DoS–атак, та один з підходів до їх класифікації. Розробка системи захисту інформації неможлива без знань можливих наслідків від загроз. Далі йдеться про класифікацію загроз, поділених на 3 групи: інформаційна безпека, спосіб здійснення, за розташуванням джерела загрози.
Розповідається про шляхи несанкціонованого доступу до інформації та деякі класичні засоби захисту. про проведення аналізу вразливостей які можна виявити у системах, які користуються попитом у численної кількості хостинг провайдерів: cPanel на CentO. Інжекція SQL– це один з найпоширеніших типів вразливості безпеки веб-додатків.
Проблеми безпеки збору даних є дуже важливим питанням. Про Open Data Kit (ODK), дозволяє створювати цифрові форми без глибокого технічного досвіду.
Designing a System of Control in the Sphere of Public Finance: Regulation of State Purchases under Peter I
Authors:   Ural Federal University, Ekaterinburg, Redin Dmitry A.
Published: January 2023

Among the various innovations that appeared in Russia under Peter I, the widespread practice of public procurement for the needs of the armed forces turned out to be underestimated in historiography. Significant public funds used to finance the purchase of food, fodder, uniforms, and ammunition became available for looting by unscrupulous officials and contractors. As a result, the losses of the state budget turned out to be so great that the tsar began to consider the theft of money through state contracts one of the main threats to the state. However, the problem was not only financial damage. The criminalisation of public procurement created a corruption environment and stimulated the emergence of criminal communities in the state apparatus. This article continues the author’s research on this topic and presents preliminary observations on how Tsar Peter tried to build an organised system for combating economic crime in the field of public procurement. Particular attention is paid to the activities of the Moscow Contracting Office, a subsidiary body of the Office of Contracting Affairs. Since the head of the Department of Contractual Affairs, the captain of the Lifeguards of the Preobrazhensky Regiment, Colonel Gerasim Ivanovich Koshelev, simultaneously headed the office investigating high-profile cases of embezzlement and smuggling (the cases of the Solovyov brothers and Arkhangelsk vice-governor Alexei Alexandrovich Kurbatov), he combined the personnel potential of both subordinate departments. In part, this gave the work of the Office of Contracting Affairs and its Moscow branch the form of an investigative body. The reconstruction and study of control and supervisory bodies’ work in the field of public finance is complex, affecting unexplored issues of the economic, administrative and social history of Russia in the early modern period.
Jenkin Thomas Philipps, Every Inch a Welshman and a Poet Moreover
Authors: Toorians Lauran
Published: January 2023

Jenkin Thomas Philipps (d. 1755) is not a particularly well-known Welshman. He is remembered as 'a highly accomplished linguist' and as a private tutor, by 1726, to the children of George II, including William Augustus, duke of Cumberland (1721–65) and Mary (1723–72). On
13 November 1732 he was appointed historiographer royal, a position he retained until his death in London on 22 February 1755. His date of birth is given as 1675 in a library catalogue in Basel, but the source for this information is unclear. In his will he left £60 a year towards the
maintenance of a free school in his native parish Llansawel, Carmarthenshire, but he died without signing the will.
 The post of historiographer royal was a sinecure given either to keep the candidate quiet or to supplement an otherwise insufficient stipend. The latter was likely
the case when Philipps was appointed 'historiographer to his Majesty' four days after the death of his predecessor, Robert Stephens. It secured him an income of ?200 per annum. In addition to his teaching activities and this appointment, Philipps managed to author and edit a considerable number
of works in various languages, but he is not known as an author in Welsh. So it is a surprise to find a poem by him in what must have been his first language. The search to give some context to this poem reveals a few hitherto unknown facts about his life and adds to the list of his known
publications.
A Study on GST Compliance Issues Faced by MSMEs with Special Reference to the State of Karnataka
Authors: Pandey Pramod Kumar , Raj N Jesmon
Published: January 2023

Ease of compliance is always desirable to foster the growth of small businesses in India. Goods and Services Tax (GST) was introduced in India to curb the limitations of earlier indirect tax laws. It has addressed many of the compliance issues faced by MSMEs in India. However, still there are a lot of compliance issues that need urgent attention. This pilot study aims to explore post-implementation compliance issues being faced by MSMEs with special reference to the state of Karnataka. Data has been collected through a survey questionnaire for 35 MSMEs and analyzed in this regard. This study has found many teething problems regarding GST compliance being faced by MSMEs which is acting as a hurdle in their growth. There is an urgent need for policy interventions to improve cumbersome compliance procedures for the overall growth of the MSME sector in India.
Alkaline-SDS cell lysis of microbes with acetone protein precipitation for proteomic sample preparation in 96-well plate format v1
Authors: Chen Yan
Published: January 2023

This high-throughput protocol details the steps to extract protein from Gram-negative bacteria, Gram-positive bacteria, or non-filamentous fungi in 96-well plate format for quantitative proteomic workflows. This protocol uses a bench-top automated liquid dispenser but the volumes and times also apply to manual and multi-channel pipetter use. This protocol is designed for lab-based, culture conditions and synthetic community experiments where complex sample matrices are minimized. Additional sample preservation and/or protein extraction methods may be required for environmental samples (e.g., feces, soil) to minimize protein degradation and maintain sample integrity. This protocol works best as part of a high-throughput proteomic sample preparation workflow with: Automated Protein Quantitation with the Biomek-FX liquid handler system and Automated Protein Normalization and Tryptic Digestion on a Biomek-NX Liquid Handler System
Balance de los estudios sobre los partidos políticos durante el siglo XIX en Colombia. Proceso fundacional y difusión de ideas
Authors: Zapata Ávila Juan Guillermo
Published: January 2023

El artículo presenta y analiza diversos estudios politológicos, sociológicos, historiográficos y de otra índole académica, sobre los partidos políticos en Colombia durante el siglo xix, específicamente, frente al proceso fundacional y la asimilación de ideas de estas colectividades políticas en el país, dos temas que no han tenido el suficiente abordaje académico. Este balance se desarrolló a partir de una perspectiva sociohistórica y en el marco de una metodología de crítica de fuentes. Se concluye que es necesario ahondar en los estudios sobre los partidos políticos, a pesar de una oferta aparentemente amplia de estudios sobre el tema, pues persisten vacíos y lugares comunes en la interpretación de muchos procesos sociopolíticos que fueron determinantes en la configuración de los partidos en Colombia.
El análisis de redes sociales como metodología para el estudio de la gestión de la seguridad en Medellín, 2004-2015
Authors: Cuartas Celis Deiman , Rodríguez Tamayo Nidia Abeny
Published: January 2023

Este artículo aborda las relaciones de gobernanza en el campo de la seguridad en Medellín entre 2004-2015 y, específicamente, el rol del sector privado. Desde principios del siglo xxi en la ciudad han interactuado diferentes instituciones públicas y privadas, académicas, organizaciones no gubernamentales y comunidades, a través de las cuales se diagnostican e intervienen los problemas de seguridad. Se utilizan dos estrategias metodológicas para recolectar, procesar y analizar la información: la primera, cualitativa, relacionada con la revisión documental y la realización de treinta y tres entrevistas a expertos en temas de seguridad; la segunda, cuantitativa, utiliza el análisis de redes sociales para procesar la información etnográfica obtenida de las entrevistas y caracterizar a las instituciones involucradas en el gobierno de la seguridad en la ciudad. Los desafíos de esta gestión colaborativa de la seguridad están, entre otros, en la negociación que implica la coordinación de instancias institucionales diversas, actores e intereses, a partir de la cual sea posible el diseño e implementación de mejores políticas y programas para su tratamiento y control.
Moulded RSA and DES (MRDES) Algorithm for Data Security
Authors: Sabeena S. Jenifa , Vijila S. Antelin
Published: January 2023

In the recent days transmission of large amount of data through online is very prominent. Security is necessary while transmitting large amount of data. Since the data may belost or hacked at some point of transmission. Normally there are three important factors interms of security. They are key generation, encryption and decryption. There are two types of crypto system namely symmetric cryptosystem and asymmetric cryptosystem. There are many publicly available cryptosystems. It may lead the intruders to view the original message sent by the sender using all the possible keys. In order to provide secure transmission of data, a novel encryption algorithm is proposed by analyzing all the existing algorithms. The existing Rivest–Shamir–Adleman (RSA) and Data encryption standard (DES) algorithm are moulded together rto produce the proposed MRDES encryption algorithm. The performance of the proposed Moulded RSA and DES is higher than the existing encryption algorithms and provides higher data  security.
Deep Learning in Social Networks for Overlappering Community Detection
Authors: Jadhav Pranavati Bajrang , Burra Vijaya Babu
Published: January 2023

The collection of nodes is termed as community in any network system that are tightly associated to the other nodes. In network investigation, identifying the community structure is crucial task, particularly for exposing connections between certain nodes. For community overlapping, network discovery, there are numerous methodologies described in the literature. Numerous scholars have recently focused on network embedding and feature learning techniques for node clustering. These techniques translate the network into a representation space with fewer dimensions. In this paper, a deep neural network-based model for learning graph representation and stacked auto-encoders are given a nonlinear embedding of the original graph to learn the model. In order to extract overlapping communities, an AEOCDSN algorithm is used. The efficiency of the suggested model is examined through experiments on real-world datasets of various sizes and accepted standards. The method outperforms various well-known community detection techniques, according to empirical findings.
On Optimality of Long Document Classification using Deep Learning
Authors: Mariyam Ayesha , Basha SK. Althaf Hussain , Raju S. Viswanadha
Published: January 2023

Document classification is effective with elegant models of word numerical distributions. The word embeddings are one of the categories of numerical distributions of words from the WordNet. The modern machine learning algorithms yearn on classifying documents based on the categorical data. The context of interest on the categorical data is posed with weights and the sense and quality of the sentences is estimated for sensible classification of documents. The focus of the current work is on legal and criminal documents extracted from the popular news channels, particularly on classification of long length legal and criminal documents. Optimization is the essential instrument to bring the quality inputs to the document classification model. The existing models are studied and a feasible model for the efficient document classification is proposed. The experiments are carried out with meticulous filtering and extraction of legal and criminal records from the popular news web sites and preprocessed with WordNet and Text Processing contingencies for efficient inward for the learning framework.
An Automatic Rice Plant Disease Detection Model Built With Unstructured Data Using IMDT Tiling and CNN Cognitive Object Detection
Authors: K. Anandhan , Shanker Singh Ajay , K. Thirunavukkarasu
Published: January 2023

Nowadays agriculture and processes are getting more intelligent mechanisms to improve the yield and reduce manual work. Smart agriculture provides numerous modern ideologies to farmers. But still, farmers face one important issue crop disease. Many researchers provide plenty of ways to recover and tackle the situation to come out of this problem. Therefore, they proceed with image processing to identify diseases from rice plant images. Farmers mainly face problems to take proper images for classification. Because of various reasons like various environmental factors, farmers ignorance, field size, capturing angle, device limitations, etc. are affecting the quality of the disease detection system, and these factors degrade overall performance. For this problem, introducing the Intelligent multi-dimensional tiling (IMDT) technique with an advanced convolution neural network with cognitive object detection (CNN-COD). IMDT technique developed with an intelligent expert system that adjusts input image size, capturing angles and other factors automatically. This advanced tiling technique supports to do the cropping and fluttering of input images for resizing. And CNN-COD model was used to calculate rice leaf width size and rescaled at the time of image segmentation with the Residual network (ResNet) model. Created dynamic tiled images are uniformly and scaled dimensional objects. These input values are used to train the CNN-COD rice plant disease, prediction model. Our proposed models were appraised on more than 4960 images which contain 8 various types of rice crop diseases. The experimental result portrayed out the CNN-COD model receives significant improvement in objection detection and image classification for the rice plant disease detection system. Mean average precision (MAP) values compared the CNN-COD model with the YOLOv4 model it got improved by 3.7% with the tiled input dataset.
Frequency Reconfigurable Microstrip Patch Antenna for Multiband Applications with Shunt-Series MEMS Switch
Authors: Navarajan J. , Jebarani M. R. Ebenezar , Krishnan V. Gokula
Published: January 2023

The wireless communication system is well developed and lots of antennas are designed and fabricated for this application. Still, the evolution of the communication system, the performance of the antenna is required to enhance to adopt the present era. The design of the antenna is most important for the performance of the antenna. Therefore, this work is designed and developed a novel antenna design for wideband application by utilizing frequency reconfigurable technique. The proposed work utilized microstrip patch antenna for the application of wideband and the Shun-series MEMS switch is applied for switching the frequency. The proposed antenna is designed with two switches and investigated with the switching conditions like ON-ON, OFF-ON, and OFF-OFF. The performance of the proposed antenna is validated by utilizing the antenna performance metrices such as Return loss, bandwidth, gain, VSWR, and radiation pattern for each switching condition. The simulation results are shows that the proposed antenna design with shunt-series MEMS switch is effectively performed and it is most suitable for the application of wireless communication system..
Device based Multi-User Tracking System using Internet of Things
Authors: Meena Bhagwan Sahay
Published: January 2023

In Light Dependent Resistor (LDR) sensor-based user is localized based on the event and the intensity of the room light when a user enters inside a room and switch ON the lights, the intensity goes high, an entry is noti?ed. An exit is noti?ed when a user switches OFF the light and exit the room. Moreover, the model remains prone to more error in multi user localization because multiple users may enter inside same room at same time and the lights of many rooms remain ON which makes more difficult to localize a user. In order to overcome this ambiguity of light sensors, two passive infrared (PIR) sensor with radio frequency identi?cation (RFID) tag-based model has been proposed, where every user has a tag. In this system, 10 PIR sensors and 5 RFID readers were attached to house room (10.0 m * 6.0m). An entry is noti?ed if the following pattern form, the outer PIR detects a motion and waits for few seconds, next the RFID reader reads the tag given to the user and ?nally the inner PIR detects a motion within the given time delay. An exit of a user is noti?ed only if the pattern from inner PIR to outer PIR is followed with the given time delay. The RFID tag is used to identify which user has entered a room at a particular time and also ensures unauthorized entry. The LDR based system gives accuracy nearby 20% but the multi-person tracking in a binary infrared sensor network-based system gives accuracy near about 90%. In this paper, the proposed PIR sensor along with RFID based indoor navigation system gives accuracy near about 94%.
Artificial Neural Network based Model for Fruit Grade Empirical Thresholding and Feature Extraction based Back Propagation
Authors: Godiyal Kuldeep
Published: January 2023

This study details a novel attribute retrieval method for use in pre-processing images, and then applies it to the development of an "artificial neural network" system based on back propagation for identifying fruits in photographs. The “Scale Conjugate Gradient” (SCG) technique is used For back propagation. In this paper, there are three stages to the process. First, MATLAB was used to process a variety of external image-based apple properties. Since merely colour is insufficient to judge the quality, size and weight characteristics were also taken into consideration. Second, features extraction was carried out during picture pre-processing to simplify the method by concentrating only on important features. The Support Vector Machine (SVM) algorithm is a favourite for creating classification models that are relatively small in weight. The classification in this work is done using the MATLAB-ANN (Artificial Neural Network) toolkit. A single hidden layer BP-ANN (Back propagation- artificial neural network) was employed with sigmoid activation functions,. The outcome was determined by the appropriate output variables, which is the apple's quality class, which was determined to be Class A, Class B, Class C, and Class D, respectively. The modeling result indicates the tremendous match between the data used in training and assumed output values. It also has shorter calculation time due to the SCG algorithm. It is also possible for apple producers and distributors to classify their fruit using this model and reduce the cost by avoiding manual classification.
User Selection and Pairing for Future Power Domain Non-Orthogonal Multiple Access (PD-NOMA) using Deep Learning Techniques
Authors: Kavitha G , Deny J
Published: January 2023

The next-generation wireless networks and communications such as 5G/6G offers various benefits such as low latency, high data rates, and improvement in user numbers with increased base station capacity and quality of service. These advantages are obtained from the increasing receiver complexity through the non-orthogonal multiple access (NOMA) of users. It is the promising radio access approach used to enhance next-generation wireless communications. Among the techniques of NOMA such as power and code domain, this paper concentrates on power domain NOMA. The user in the network for transmission is selected using a deep learning approach called deep neural network (DNN).  This user selection results are the training data and the loss function is modified for the selection of users that could meet the constraint the selected user cannot be in both strong and weak groups. The user aggregation/user pairing among the sub-channels is performed through the exhaustive analysis using particle swarm optimization (PSO). The usage of DNN-PSO enables the transmitter and required minimum uplink and downlink transmitting power and guaranteed for Quality of Service of each user. The simulation and comprehensive statistical evaluation are performed with the comparative analysis of energy efficiency and maximum achievable rate with the given spectrum efficiency (SE) of PD-NOMA. The proposed model ensures reduced latency, increased throughput, less energy, achievable data rate, user fairness and increased reliability and quality of service.
An Intrusion Detection Using Machine Learning Algorithm Multi-Layer Perceptron (MlP): A Classification Enhancement in Wireless Sensor Network (WSN)
Authors: Reddy G.Vinoda , Kadiyala Sreedevi , Potluri Chandra Srinivasan , Saravanan P. Shanthi , Athisha G. , Mukunthan M.A. , Sujaritha M.
Published: January 2023

During several decades, there has been a meteoric rise in the development and use of cutting-edge technology. The Wireless Sensor Network (WSN) is a groundbreaking innovation that relies on a vast network of individual sensor nodes. The sensor nodes in the network are responsible for collecting data and uploading it to the cloud. When networks with little resources are deployed harshly and without regulation, security risks occur. Since the rate at which new information is being generated is increasing at an exponential rate, WSN communication has become the most challenging and complex aspect of the field. Therefore, WSNs are insecure because of this. With so much riding on WSN applications, accuracy in replies is paramount. Technology that can swiftly and continually analyse internet data streams is essential for spotting breaches and assaults. Without categorization, it is hard to simultaneously reduce processing time while maintaining a high level of detection accuracy. This paper proposed using a Multi-Layer Perceptron (MLP) to enhance the classification accuracy of a system. The proposed method utilises a feed-forward ANN model to generate a mapping for the training and testing datasets using backpropagation. Experiments are performed to determine how well the proposed MLP works. Then, the results are compared to those obtained by using the Hoeffding adaptive tree method and the Restricted Boltzmann Machine-based Clustered-Introduction Detection System. The proposed MLP achieves 98% accuracy, which is higher than the 96.33% achieved by the RBMC-IDS and the 97% accuracy achieved by the Hoeffding adaptive tree.
Analytical Study of an IOT-based Accident Detection and Information Management System
Authors: Ch S. Sowjanya , Krishna B. Chaitanya , Madhav BTP
Published: January 2023

Accidents wreak havoc on victims, costing them valuable time and money. After thorough investigation, it has been shown that the majority of accidents result in fatalities as a result of poor communication with the relevant medical authorities and the ensuing dearth of prompt medical attention. Several sensor nodes are combined in a single system to forecast likely accident combinations. Lab view-based simulation was used to handlepossible conditions for an accident to happen. With the IoT Interface, theproposed design would enable a novel model in the vehicular communication system to recognize various accident situations and provide associated information to the needy. The proposed model would handle all potential combinations and comparative analyses from low to high end cars, as well as provide a strategy framework for future IoT enabled v2v communication networks.
Convolutional Gated Recurrent Neural Network Based Automatic Detection and Classification of Brain Tumor using Magnetic Resonance Imaging
Authors: Sridhar S. R. , Akila M. , Asokan R.
Published: January 2023

Magnetic Resonance Imaging (MRI) might be a problematic assignment for tumor fluctuation and complexity because of brain image classification. This work presents the brain tumor classification system using Convolutional Gated Recurrent Neural Network (CGRNN) algorithm based on MRI images. The proposed tumor recognition framework comprises of four stages, to be specific preprocessing, feature extraction, segmentation and classification. Extraction of identified tumor framework features was accomplished utilizing Gray Level Co-occurrence Matrix (GLCM) strategy. At long last, the Convolutional Gated Recurrent Neural Network Classifier has been created to perceive various kinds of brain disease. The proposed framework can be effective in grouping these models and reacting to any variation from the abnormality. The entire framework is isolated into different types of phases: the Learning/Training Phase and the Recognition/Test Phase. A CGRNN classifier under the scholarly ideal separation measurements is utilized to decide the chance of every pixel having a place with the foreground (tumor) and the background. MATLAB software is used in the development of the simulation of the proposed system. The suggested method's simulation results show that the analysis of brain tumours is stable. It shows that the proposed brain tumor classifications are superior to those from brain MRIs than existing brain tumor classifications. The overall accuracy of the proposed system is 98.45%.
Two-Dimensionalnumerical Study of the Effect of Nanoparticles on the Fusion and Freezing Process of Phase Change Materials Using a Computing Method
Authors: Irani Mohsen
Published: January 2023

In this paper, a scalar two-dimensional analysis was conducted on the influence of nanoparticles on the thawing and freezing rate of phase-change materials based on enthalpy method that is an innovative calculation method. To this end, carbon nanotubes (CNTs) and aluminum oxide nanoparticles (NPs) were employed as a model of cylindrical and spherical nanoparticles, respectively.Paraffin and a composite of hydrated salts was also utilized as the PCM. The numerical procedure involved the simulation of the phase change process based on finite difference using enthalpy approach. Because of the recent innovations in computer calculation and also its connection with mechanical engineering a computational code was written for this purpose.Simulation results indicated a reduction in time of thawing and freezing upon incorporation of nanoparticles into the phase change material. For both states, CNTs showed the better result due to acceleration of the heat transfer. The biggest increase (28%) in the rate of thawing and freezing was for CNT-paraffin system; while the lowest increase (6%) was observed in aluminum oxide-hydrated salt system. This result can be utilized to control the speed of energy storage and release.
Image Processing based Plant Disease Detection and Classification
Authors: Uppal Ashima , Naruka Mahaveer Singh , Tewari Gaurav
Published: January 2023

Generally, it has been observed that due to lack of proper knowledge of disease intensity, the farmer is not able to use the pesticide in proper quantity to treat the diseases. The use of pesticide mostly becomes more than necessary, due to which there is not only a loss of money, but also it causes soil and environmental pollution. If diseases severity-wise labelled data sets are available, it can be used to develop pesticide recommendation systems. Images with least infection severity can be used to train and validate a DL model to capture the plant diseases at very initial stage. Classification techniques may be viewed as variations of detection systems; however, instead of attempting to identify only one particular illness among several diseases, classification methods detect and name the diseases harming the plant. This presents various classification and plant disease detection methods based on image processing with results.
Developing the Computational Building Blocks for General Intelligent in SOAR
Authors: Shalini Shalini , Srinivasan S. , Bansal Nitin , Prakash Piyush
Published: January 2023

Cognitive architecture's purpose is to generate artificial agents with capacities similar to the human mind. Soar Cognitive Architecture is to produce the fixed computational building blocks needed for generally intelligent agents— agents that can outright a variety of tasks and encode, use, and learn all types of knowledge to realize the broad cognitive abilities present in humans. This paper introduced an arithmetic agent that does multicolumn, two-digit addition in SOAR. Here, we show the entire calculating procedure, including all of its operators. We are using episodic memory assistance to enhance the set of cognitive abilities that let the agent learn and reason.
Public Control in Municipalities of Constituent Entitties of the Russian Federation of the Siberian Federal District
Authors: Chekryga M. A.
Published: January 2023

Development of public control as an independent institution carried out in municipalities constitutes a part of the ideology according to which democratic states proceed their development. The purpose of the study is to identify problems that hinder the development of subjects of public control in municipalities. The object of this study covers public relations related to public control in municipalities; the subject of the study includes quantitative and qualitative characteristics of subjects of public control, legislation regulating their organization and activities. Methodologically, the paper is based on dialectical and system methods, methods of analysis and synthesis, as well as the formal legal method. The study showed that a) public control development in municipalities of the regions of the Siberian Federal District is carried out inconsistently; b) Federal Law No. 212‑FZ dated 21 July 2014 «On foundations of public control in the Russian Federation» sets forth foundations for the development of public control, but it does not provoke the expected activity in the use of its norms; c) among the reasons hindering the development of the legal institution under consideration, the author names insufficient informing of the population about the possibilities, legal grounds, forms of work, the procedure for creation, the best experience of the subjects of public control, Organizational issues include the lack of systematic posting of the necessary information about the activities of subjects of public control on the websites of municipalities and incorrect application of the norms of Federal Law No. 212‑FZ. Legal problems of the current legal regulation are caused by the lack of necessary legal regulation of the sphere under consideration).
Features of Institutions of Informed Consent and Property Rights in Legal Regulation of Relations Related to Human Biological Material
Authors: Pestrikova A. A. , Smorchkova L. N.
Published: January 2023

The paper analyzes the legal regulation of relations that are developing regarding human biological material, in particular issues concerning property rights. Some examples of foreign judicial practice have been studied in detail, which allow the authors to assess the process of formation of international and national legislation regulating these relations. The author examines aspects of the legal regulation of biobanks’ activities regarding storage, transfer and disposal of human biological material, as well as obtaining informed consent. The question is raised about the need to differentiate legal regulation in connection with the competition between the ownership of human biological materials between the right to privacy and personality. It is concluded that it is necessary to find a balance taking into account the increase in logistical possibility of obtaining and transferring biological material, including international transfer, as well as peculiarities of obtaining genetic and genomic information, exchange and dissemination of research results and internationalization of research.
Interest as Grounds for Consumer Rights Abuse Classification
Authors: Usoltsev E. Yu.
Published: January 2023

The abuse of subjective civil right is one of the most difficult legal phenomena to understand, the roots of which go back to the time of Ancient Rome. There is more or less consensus in civil law regarding the criteria for a civil tort, but there is no consensus on the identification of abusive actions. Studying a case of abuse of the right by consumers, the author proves that the key role in solving this problem can be in the interest that determines the aim of all the powers provided for by law for this subject: the satisfaction of personal or family needs. In this context, the ratio of objective and subjective interests, as well as the impact of the process of their implementation on the mechanism of law enforcement, is analyzed in detail. At the same time, it is concluded that interest is not a universal basis for recognizing dishonest behavior as an abuse of the right, i.e. depending on the type of legal relationship and the specifics of the legal status of its participants, the criteria for classifying the abuse of the right may vary. This explains the ongoing long-term discussion about the essence of this phenomenon.
Influence of heat-protective coatings on the temperature state of tractor diesel pistons
Authors: Belov Vyacheslav P. , Apelinsky Dmitry V. , Bezhenar Vadim  N.
Published: January 2023

BACKGROUND: The paper presents the results of thermometry of pistons with the TsNIDI type combustion chamber (CC) of the D-240 and the D-245 tractor diesel engines. Various constructive and technological measures aimed at increasing the thermal resistance of pistons are considered.
AIMS: To evaluate the effect of heat-protective coatings on the temperature state of pistons with the TsNIDI type combustion chamber.
METHODS: Motor bench tests of the D-240 and the D-245 diesel engines, equipped with pistons with heat-protective coatings (HPC) on the bottom, were carried out. In the process of research, the influence of the HPC on the thermal state of the pistons as well as on the power and economic indicators of these diesel engines was studied.
RESULTS: It is established that hard anodizing leads to a slight decrease in temperatures and their differences at characteristic points of the piston in stationary and non-stationary diesel operation modes. It is noted that the slow rise in temperature at the bottom of the piston is caused by a decrease in the amount of heat supplied to it due to the low thermal conductivity of the oxide layer. It is shown that the PN85Yu15 gas-plasma coating leads to a significant decrease in temperatures and their differences along the piston bottom. It is determined that this coating helps to reduce the specific effective fuel consumption due to the reduction of the ignition delay period in the combustion process. It is noted that a slower growth rate of temperatures and their differences, especially in the zone of the edge of the CC, should reduce the magnitude of thermal stresses, and therefore increase the thermal resistance of the experimental pistons.
CONCLUSIONS: It is revealed that the most effective way to reduce the heat stress of the piston is the application of heat-protective coatings on its bottom. The influence of the abovementioned coatings on the nature of the temperature distribution and their differences in the piston head is investigated.
Improving the energy and environmental performance of a diesel internal combustion engine by using a hydrogen-containing additive
Authors: Dunin Andrey Yu. , Shabanov Alexander V. , Nguyen Thin  Quynh , Shatrov Mikhail G. , Golubkov Leonid N.
Published: January 2023

BACKGROUND: The areas of hydrogen energetics development are analyzed. The main problems faced by Western automakers and which determine the ways to solve the problems of hydrogen vehicles are outlined. It is noted that small-scale production of hydrogen cars has already begun in Europe and the USA. The development of this direction requires the creation of a network of filling stations, which is related to the high financial cost of hydrogen fuel production technologies and the development of the appropriate infrastructure. The world economy transition to a new energy source requires the introduction of large electrical capacities.
AIMS: Technologies of vehicle onboard hydrogen production with use of hydrogen-containing substances are of interest of the study, as they are highly safe, cheap in production and easy in service.
METHODS: The experimental design developments on converting diesel and gasoline internal combustion engines to run on hydrogen, made by NAMI in the past years, are considered. In the development of this direction, MADI has developed an original method for vehicle onboard hydrogen production with hydrogen supply to the cylinders of a bifuel diesel internal combustion engine.
RESULTS: During the tests, an increase in power indicators, an increase in the effective efficiency of the internal combustion engine and a decrease in the content of CH and CO in the exhaust gases of a diesel engine with a certain increase in nitrogen oxides were obtained.
On the issue of technical compatibility of electrotechnical complexes and systems of aircrafts
Authors: Chernov Alekcander E. , Maleev Ruslan A. , Eroshkin Dmitry A. , Lavrikov Alexey A.
Published: January 2023

BACKGROUND: Among the variety of different types of technical compatibility (TC), design, technological, operational and thermal types have a high priority. The reason is that these TC types are commonly the most problematic and typical for the majority of modern machines.
AIMS: Two approaches to development of new prospective projects of autonomous electrotechnical complexes (ETC) of aircrafts, such as particular system design (PSD) and complex system design (CSD) are considered.
METHODS: Analysis and synthesis of elements of the ETC of aircraft, as well as a systematic approach to design.
RESULTS: Details and advantages of the CSD are revealed. Problems and conditions, making practical implementation of this approach possible, are given. All notions and considered design approaches find their application in development and modernization of aircrafts (AC) as well as ETCs. Various types of compatibility, such as operational compatibility, design compatibility, thermal compatibility, size compatibility, energetic compatibility and informational compatibility are outlined. Generally, TC research by engineers and scientists gains more relevance of solving the problem of modern machines improvement. Scale and relevance of this problem only at focal points of ensuring some TC types are given in the article, as more detailed consideration is problematic even at a monograph level and impossible at an article level because the number of researched TC types goes beyond 40.
CONCLUSIONS: For the complete analysis of thermal mode of the whole AC, it is necessary to have the equation system consisting of the equation for the aircraft as a whole and equations for all onboard elements. Such equation system becomes extremely bulky even for small ACs. Therefore, approximate methods of analysis and calculation are commonly used. The most spread approximate method is consideration of only steady-state thermal processes for various AC operational modes. Final target of this approach is to obtain sufficient quantity of thermal modes points, enough to approximate the whole thermal mode of an aircraft.
Sensitivity of pathogenic and opportunistic microorganisms to probiotic strains in the light of personalized probiotic therapy
Authors: Parakhina Anastasia I. , Parakhina Larisa I. , Troshina Darya A. , Levina Katerina E. , Pimenova Yulia A. , Koteneva Elena N. , Evstropov Aleksandr N. , Zakharova Liudmila N. , Mironov Andrey Yu. , Suranova Tatyana G.
Published: January 2023

BACKGROUND: Resistance of microorganisms to antimicrobial drugs (AMP) is one of the global problems of modern medicine, which poses a serious threat to human health. The formation of the resistance of pathogens to AMP forces us to look for new ways to combat them. Probiotic therapy is one of the promising and safe methods of treating many infectious diseases.
AIM: This study assesses the sensitivity of clinical strains of pathogenic and opportunistic bacteria and fungi to microorganisms that are part of probiotic preparations.
MATERIALS AND METHODS: The sensitivity of 93 cultures of pathogenic and opportunistic microorganisms (UPM) isolated from the feces of patients with intestinal dysbiosis to strains of probiotic bacteria isolated from commercial probiotic preparations was studied: Lactobacillus plantarum 8RA-3, Escherichia coli M-17, Bacillus subtilis strain VKPM B-10641, Enterococcus faecium SF-68, Saccharomyces boulardii CNCM I-745 by the delayed antagonism method.
RESULTS: Pathogenic microorganisms showed low and moderate sensitivity to the probiotic strain of L. plantarum. Sensitivity to the probiotic strain of B. subtilis was detected in Staphylococcus aureus strains, low or completely absent in Pseudomonas aeruginosa, Klebsiella spp., Serratia marcescens. The most sensitive to the probiotic strain were clinical strains of E. coli.
CONCLUSION: UPM and pathogenic microorganisms isolated from the gastrointestinal tract of patients with dysbiosis have different sensitivity to probiotic strains: from high to several probiotics to its complete absence. The empirical approach to prescribing a probiotic does not guarantee a therapeutic effect, which makes it prudent to individualize the selection of a probiotic based on an assessment of its antimicrobial activity against isolated pathogens.
Chronic obstruction of the stomach as a result of congenital malformation in a child of 1 year 10 months. Case report
Authors: Schneider Inna S. , Tsap Natalya A. , Gaydysheva Elena V. , Timoshinov Maxim Yu. , Ekimov Mikhail N. , Smirnova Snezhana E.
Published: January 2023

Congenital malformation of the gastrointestinal tract in a rare case can cause partial obstruction and masquerade as functional disorders of the intestine for a long time. Atypical clinic of membranous gastric obstruction causes difficulties in diagnosis and determination of treatment tactics. The aim to determine and present to the surgical community the features of diagnosis, surgical treatment, possible complications of a rare malformation of the stomach in children in the form of a stomach membrane.
The paper presents a clinical case of the stomach membrane in a child 1 year 10 months old with complaints of vomiting after each meal, bloating, lethargy for one month. The results of ultrasonography, X-ray examination with the passage of a contrast agent through the gastrointestinal tract, fibrogastroduodenoscopy established anatomical changes in the stomach in the form of pyloric stenosis up to 0.40.5 cm in diameter. Intraoperative revision of the stomach, supplemented by intraluminal endoscopic support, made it possible to reliably establish the presence of a perforated pyloric membrane. The membrane is radically cut along the entire circumference at the level of its base. The next postoperative period was uneventful. After 1.5 months, the child was again admitted to the pediatric surgical department on an emergency basis with a clinic of intestinal obstruction, including the childs anxiety, repeated vomiting, and bloating. X-ray and endoscopic picture corresponded to the diagnosis of cicatricial stenosis of the pyloric part of the stomach. Taking into account the presence of cicatricial deformity, due to the high risk of complications during resection of the stenotic part of the stomach and the imposition of gastroduodenoanastomosis, a bypass retrocolic gastrojejunoanastomosis with Brown fistula was formed. When examining a child of a child in the late postoperative period, no complications were identified.
The presented clinical case confirms that congenital malformations of the gastrointestinal tract in the form of stenoses and membranes can have a long stage of compensation, their diagnosis is based on a comprehensive examination of the child using radiopaque and endoscopic studies.