bluuebunny/crossref_metadata_2025 huggingface dataset:
Bi-Spectral Infrared Algorithm for Cloud Coverage over Oceans by the JEM-EUSO Mission Program
Authors: Santalices David , Briz Susana , de Castro Antonio J. , López Fernando
Published: October 2021

The need to monitor specific areas for different applications requires high spatial and temporal resolution. This need has led to the proliferation of ad hoc systems on board nanosatellites, drones, etc. These systems require low cost, low power consumption, and low weight. The work we present follows this trend. Specifically, this article evaluates a method to determine the cloud map from the images provided by a simple bi-spectral infrared camera within the framework of JEM-EUSO (The Joint Experiment Missions-Extrem Universe Space Observatory). This program involves different experiments whose aim is determining properties of Ultra-High Energy Cosmic Ray (UHECR) via the detection of atmospheric fluorescence light. Since some of those projects use UV instruments on board space platforms, they require knowledge of the cloudiness state in the FoV of the instrument. For that reason, some systems will include an infrared (IR) camera. This study presents a test to generate a binary cloudiness mask (CM) over the ocean, employing bi-spectral IR data. The database is created from Moderate-Resolution Imaging Spectroradiometer (MODIS) data (bands 31 and 32). The CM is based on a split-window algorithm. It uses an estimation of the brightness temperature calculated from a statistical study of an IR images database along with an ancillary sea surface temperature. This statistical procedure to obtain the estimate of the brightness temperature is one of the novel contributions of this work. The difference between the measured and estimation of the brightness temperature determines whether a pixel is cover or clear. That classification requires defining several thresholds which depend on the scenarios. The procedure for determining those thresholds is also novel. Then, the results of the algorithm are compared with the MODIS CM. The agreement is above 90%. The performance of the proposed CM is similar to that of other studies. The validation also shows that cloud edges concentrate the vast majority of discrepancies with the MODIS CM. The relatively high accuracy of the algorithm is a relevant result for the JEM-EUSO program. Further work will combine the proposed algorithm with complementary studies in the framework of JEM-EUSO to reinforce the CM above the cloud edges.
A Novel Amperometric Biosensor Based on Poly(allylamine hydrochloride) for Determination of Ethanol in Beverages
Authors: Istrate Oana Maria , Rotariu Lucian , Bala Camelia
Published: October 2021

Herein, we report on a new type of ethanol biosensor based on a screen-printed electrode modified with poly(allylamine hydrochloride). The alcohol dehydrogenase was immobilized on the surface of the sensor using the sol–gel matrix. Working parameters such as applied potential, pH, NAD+ concentration, storage conditions were optimized. A response range between 0.05 and 2 mM was found with a sensitivity of 13.45 ± 0.67 µA/mM·cm2 and a detection limit of 20 µM. The developed biosensor was used to detect ethanol in commercial beverages with good accuracy.
Design of Insulation Tape Tension Control System of Transformer Winding Machine Based on Fuzzy PID
Authors: Deng Liwei , Suo Hongfei , Ren Haonan
Published: October 2021

With the rapid development of science and technology as well as the comprehensive societal progress, the demand for electricity in all walks of life is also increasing. As is known to all, the mechanical structure and tension control of a transformer winding machine is the key to improving the quality of coil winding, due to coil winding being generally considered the core technology of transformer manufacturing. Aiming at the synchronous winding control problem of the conductor and insulating layer of the transformer winding machine, this paper presents a mechanical structure and tension control scheme of a new type of transformer winding machine. Based on the dynamic analysis and modeling of the mechanical structure of the winding machine, the speed control of the main speed roller by the fuzzy PID control rate is implemented initially. Combined with the actual demand of the project, the feasibility and effectiveness of the control target with different tension are verified by the simulation experiment and further compared with the traditional PID control method. The simulation results show that the proposed fuzzy PID control rate can realize the automatic and efficient winding of the transformer winding machine, showing that it is superior to the traditional PID control rate in overcoming the disturbance and controlling effect.
Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum–Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data
Authors: Saulo Helton , Souza Rubens , Vila Roberto , Leiva Víctor , Aykroyd Robert G.
Published: October 2021

Environmental agencies are interested in relating mortality to pollutants and possible environmental contributors such as temperature. The Gaussianity assumption is often violated when modeling this relationship due to asymmetry and then other regression models should be considered. The class of Birnbaum–Saunders models, especially their regression formulations, has received considerable attention in the statistical literature. These models have been applied successfully in different areas with an emphasis on engineering, environment, and medicine. A common simplification of these models is that statistical dependence is often not considered. In this paper, we propose and derive a time-dependent model based on a reparameterized Birnbaum–Saunders (RBS) asymmetric distribution that allows us to analyze data in terms of a time-varying conditional mean. In particular, it is a dynamic class of autoregressive moving average (ARMA) models with regressors and a conditional RBS distribution (RBSARMAX). By means of a Monte Carlo simulation study, the statistical performance of the new methodology is assessed, showing good results. The asymmetric RBSARMAX structure is applied to the modeling of mortality as a function of pollution and temperature over time with sensor-related data. This modeling provides strong evidence that the new ARMA formulation is a good alternative for dealing with temporal data, particularly related to mortality with regressors of environmental temperature and pollution.
GIS-Based Forest Fire Susceptibility Zonation with IoT Sensor Network Support, Case Study—Nature Park Golija, Serbia
Authors: Novkovic Ivan , Markovic Goran B. , Lukic Djordje , Dragicevic Slavoljub , Milosevic Marko , Djurdjic Snezana , Samardzic Ivan , Lezaic Tijana , Tadic Marija
Published: October 2021

The territory of the Republic of Serbia is vulnerable to various natural disasters, among which forest fires stand out. In relation with climate changes, the number of forest fires in Serbia has been increasing from year to year. Protected natural areas are especially endangered by wildfires. For Nature Park Golija, as the second largest in Serbia, with an area of 75,183 ha, and with MaB Reserve Golija-Studenica on part of its territory (53,804 ha), more attention should be paid in terms of forest fire mitigation. GIS and multi-criteria decision analysis are indispensable when it comes to spatial analysis for the purpose of natural disaster risk management. Index-based and fuzzy AHP methods were used, together with TOPSIS method for forest fire susceptibility zonation. Very high and high forest fire susceptibility zone were recorded on 26.85% (Forest Fire Susceptibility Index) and 25.75% (fuzzy AHP). The additional support for forest fire prevention is realized through an additional Internet of Thing (IoT)-based sensor network that enables the continuous collection of local meteorological and environmental data, which enables low-cost and reliable real-time fire risk assessment and detection and the improved long-term and short-term forest fire susceptibility assessment. Obtained results can be applied for adequate forest fire risk management, improvement of the monitoring, and early warning systems in the Republic of Serbia, but are also important for relevant authorities at national, regional, and local level, which will be able to coordinate and intervene in a case of emergency events.
rTLS: Secure and Efficient TLS Session Resumption for the Internet of Things
Authors: Tange Koen , Mödersheim Sebastian , Lalos Apostolos , Fafoutis Xenofon , Dragoni Nicola
Published: October 2021

In recent years, the Transport Layer Security (TLS) protocol has enjoyed rapid growth as a security protocol for the Internet of Things (IoT). In its newest iteration, TLS 1.3, the Internet Engineering Task Force (IETF) has standardized a zero round-trip time (0-RTT) session resumption sub-protocol, allowing clients to already transmit application data in their first message to the server, provided they have shared session resumption details in a previous handshake. Since it is common for IoT devices to transmit periodic messages to a server, this 0-RTT protocol can help in reducing bandwidth overhead. Unfortunately, the sub-protocol has been designed for the Web and is susceptible to replay attacks. In our previous work, we adapted the 0-RTT protocol to strengthen it against replay attacks, while also reducing bandwidth overhead, thus making it more suitable for IoT applications. However, we did not include a formal security analysis of the protocol. In this work, we address this and provide a formal security analysis using OFMC. Further, we have included more accurate estimates on its performance, as well as making minor adjustments to the protocol itself to reduce implementation ambiguity and improve resilience.
FGFF Descriptor and Modified Hu Moment-Based Hand Gesture Recognition
Authors: Zhang Beiwei , Zhang Yudong , Liu Jinliang , Wang Bin
Published: October 2021

Gesture recognition has been studied for decades and still remains an open problem. One important reason is that the features representing those gestures are not sufficient, which may lead to poor performance and weak robustness. Therefore, this work aims at a comprehensive and discriminative feature for hand gesture recognition. Here, a distinctive Fingertip Gradient orientation with Finger Fourier (FGFF) descriptor and modified Hu moments are suggested on the platform of a Kinect sensor. Firstly, two algorithms are designed to extract the fingertip-emphasized features, including palm center, fingertips, and their gradient orientations, followed by the finger-emphasized Fourier descriptor to construct the FGFF descriptors. Then, the modified Hu moment invariants with much lower exponents are discussed to encode contour-emphasized structure in the hand region. Finally, a weighted AdaBoost classifier is built based on finger-earth mover’s distance and SVM models to realize the hand gesture recognition. Extensive experiments on a ten-gesture dataset were carried out and compared the proposed algorithm with three benchmark methods to validate its performance. Encouraging results were obtained considering recognition accuracy and efficiency.
Using Smartwatches to Detect Face Touching
Authors: Bai Chen , Chen Yu-Peng , Wolach Adam , Anthony Lisa , Mardini Mamoun T.
Published: October 2021

Frequent spontaneous facial self-touches, predominantly during outbreaks, have the theoretical potential to be a mechanism of contracting and transmitting diseases. Despite the recent advent of vaccines, behavioral approaches remain an integral part of reducing the spread of COVID-19 and other respiratory illnesses. The aim of this study was to utilize the functionality and the spread of smartwatches to develop a smartwatch application to identify motion signatures that are mapped accurately to face touching. Participants (n = 10, five women, aged 20–83) performed 10 physical activities classified into face touching (FT) and non-face touching (NFT) categories in a standardized laboratory setting. We developed a smartwatch application on Samsung Galaxy Watch to collect raw accelerometer data from participants. Data features were extracted from consecutive non-overlapping windows varying from 2 to 16 s. We examined the performance of state-of-the-art machine learning methods on face-touching movement recognition (FT vs. NFT) and individual activity recognition (IAR): logistic regression, support vector machine, decision trees, and random forest. While all machine learning models were accurate in recognizing FT categories, logistic regression achieved the best performance across all metrics (accuracy: 0.93 ± 0.08, recall: 0.89 ± 0.16, precision: 0.93 ± 0.08, F1-score: 0.90 ± 0.11, AUC: 0.95 ± 0.07) at the window size of 5 s. IAR models resulted in lower performance, where the random forest classifier achieved the best performance across all metrics (accuracy: 0.70 ± 0.14, recall: 0.70 ± 0.14, precision: 0.70 ± 0.16, F1-score: 0.67 ± 0.15) at the window size of 9 s. In conclusion, wearable devices, powered by machine learning, are effective in detecting facial touches. This is highly significant during respiratory infection outbreaks as it has the potential to limit face touching as a transmission vector.
Pose2Sim: An End-to-End Workflow for 3D Markerless Sports Kinematics—Part 1: Robustness
Authors: Pagnon David , Domalain Mathieu , Reveret Lionel
Published: October 2021

Being able to capture relevant information about elite athletes’ movement “in the wild” is challenging, especially because reference marker-based approaches hinder natural movement and are highly sensitive to environmental conditions. We propose Pose2Sim, a markerless kinematics workflow that uses OpenPose 2D pose detections from multiple views as inputs, identifies the person of interest, robustly triangulates joint coordinates from calibrated cameras, and feeds those to a 3D inverse kinematic full-body OpenSim model in order to compute biomechanically congruent joint angles. We assessed the robustness of this workflow when facing simulated challenging conditions: (Im) degrades image quality (11-pixel Gaussian blur and 0.5 gamma compression); (4c) uses few cameras (4 vs. 8); and (Cal) introduces calibration errors (1 cm vs. perfect calibration). Three physical activities were investigated: walking, running, and cycling. When averaged over all joint angles, stride-to-stride standard deviations lay between 1.7° and 3.2° for all conditions and tasks, and mean absolute errors (compared to the reference condition—Ref) ranged between 0.35° and 1.6°. For walking, errors in the sagittal plane were: 1.5°, 0.90°, 0.19° for (Im), (4c), and (Cal), respectively. In conclusion, Pose2Sim provides a simple and robust markerless kinematics analysis from a network of calibrated cameras.
Bi-Level Coordinated Merging of Connected and Automated Vehicles at Roundabouts
Authors: Bakibillah A. S. M. , Kamal Md Abdus Samad , Tan Chee Pin , Susilawati Susilawati , Hayakawa Tomohisa , Imura Jun-ichi
Published: October 2021

Traditional uncoordinated traffic flows in a roundabout can lead to severe traffic congestion, travel delay, and the increased fuel consumption of vehicles. An interesting way to mitigate this would be through cooperative control of connected and automated vehicles (CAVs). In this paper, we propose a novel solution, which is a roundabout control system (RCS), for CAVs to attain smooth and safe traffic flows. The RCS is essentially a bi-level framework, consisting of higher and lower levels of control, where in the higher level, vehicles in the entry lane approaching the roundabout will be made to form clusters based on traffic flow volume, and in the lower level, the vehicles’ optimal sequences and roundabout merging times are calculated by solving a combinatorial optimization problem using a receding horizon control (RHC) approach. The proposed RCS aims to minimize the total time taken for all approaching vehicles to enter the roundabout, whilst minimally affecting the movement of circulating vehicles. Our developed strategy ensures fast optimization, and can be implemented in real-time. Using microscopic simulations, we demonstrate the effectiveness of the RCS, and compare it to the current traditional roundabout system (TRS) for various traffic flow scenarios. From the results, we can conclude that the proposed RCS produces significant improvement in traffic flow performance, in particular for the average velocity, average fuel consumption, and average travel time in the roundabout.
Copper Oxide Nanoparticle-Based Immunosensor for Zearalenone Analysis by Combining Automated Sample Pre-Processing and High-Throughput Terminal Detection
Authors: Xuan Zhihong , Wu Yanxiang , Liu Hongmei , Li Li , Ye Jin , Wang Songxue
Published: October 2021

A rapid and high-throughput fluorescence detection method for zearalenone (ZEN) based on a CuO nanoparticle (NP)-assisted signal amplification immunosensor was developed using an automated sample pretreatment and signal conversion system. CuO NPs with high stability and biocompatibility were used as carriers to immobilize anti-ZEN antibodies. The obtained CuO NP-anti-ZEN can maintain the ability to recognize target toxins and act as both a signal source and carrier to achieve signal conversion using automated equipment. In this process, target toxin detection is indirectly transformed to Cu2+ detection because of the large number of Cu2+ ions released from CuO NPs under acidic conditions. Finally, a simple and high-throughput fluorescence assay based on a fluorescent tripeptide molecule was employed to detect Cu2+, using a multifunctional microporous plate detector. A good linear relationship was observed between the fluorescence signal and the logarithm of ZEN concentration in the range of 16.0–1600.0 μg/kg. Additionally, excellent accuracy with a high recovery yield of 99.2–104.9% was obtained, which was concordant with the results obtained from LC-MS/MS of naturally contaminated samples. The CuO NP-based assay is a powerful and efficient screening tool for ZEN detection and can easily be modified to detect other mycotoxins.
A Study on the Application of LSTM to Judge Bike Accidents for Inflating Wearable Airbags
Authors: Jo So-Hyeon , Woo Joo , Byun Gi-Sig , Kwon Baek-Soon , Jeong Jae-Hoon
Published: October 2021

The traffic accident occurrence rate is increasing relative to the increase in the number of people using personal mobility device (PM). This paper proposes an airbag system with a more efficient algorithm to decide the deployment of a wearable bike airbag in case of an accident. The existing wearable airbags are operated by judging the accident situations using the thresholds of sensors. However, in this case, the judgment accuracy can drop against various motions. This study used the long short-term memory (LSTM) model using the sensor values of the inertial measurement unit (IMU) as input values to judge accident occurrences, which obtains data in real time from the three acceleration-axis and three angular velocity-axis sensors on the driver motion states and judges whether or not an accident has occurred using the obtained data. The existing neural network (NN) or convolutional neural network (CNN) model judges only the input data. This study confirmed that this model has a higher judgment accuracy than the existing NN or CNN by giving strong points even in “past information” through LSTM by regarding the driver motion as time-series data.
Role of Machine Learning in Resource Allocation Strategy over Vehicular Networks: A Survey
Authors: Nurcahyani Ida , Lee Jeong Woo
Published: October 2021

The increasing demand for smart vehicles with many sensing capabilities will escalate data traffic in vehicular networks. Meanwhile, available network resources are limited. The emergence of AI implementation in vehicular network resource allocation opens the opportunity to improve resource utilization to provide more reliable services. Accordingly, many resource allocation schemes with various machine learning algorithms have been proposed to dynamically manage and allocate network resources. This survey paper presents how machine learning is leveraged in the vehicular network resource allocation strategy. We focus our study on determining its role in the mechanism. First, we provide an analysis of how authors designed their scenarios to orchestrate the resource allocation strategy. Secondly, we classify the mechanisms based on the parameters they chose when designing the algorithms. Finally, we analyze the challenges in designing a resource allocation strategy in vehicular networks using machine learning. Therefore, a thorough understanding of how machine learning algorithms are utilized to offer a dynamic resource allocation in vehicular networks is provided in this study.
Complementary Fourier Single-Pixel Imaging
Authors: Zhou Dong , Cao Jie , Cui Huan , Hao Qun , Chen Bing-kun , Lin Kai
Published: October 2021

Single-pixel imaging, with the advantages of a wide spectrum, beyond-visual-field imaging, and robustness to light scattering, has attracted increasing attention in recent years. Fourier single-pixel imaging (FSI) can reconstruct sharp images under sub-Nyquist sampling. However, the conventional FSI has difficulty balancing imaging quality and efficiency. To overcome this issue, we proposed a novel approach called complementary Fourier single-pixel imaging (CFSI) to reduce the number of measurements while retaining its robustness. The complementary nature of Fourier patterns based on a four-step phase-shift algorithm is combined with the complementary nature of a digital micromirror device. CFSI only requires two phase-shifted patterns to obtain one Fourier spectral value. Four light intensity values are obtained by loading the two patterns, and the spectral value is calculated through differential measurement, which has good robustness to noise. The proposed method is verified by simulations and experiments compared with FSI based on two-, three-, and four-step phase shift algorithms. CFSI performed better than the other methods under the condition that the best imaging quality of CFSI is not reached. The reported technique provides an alternative approach to realize real-time and high-quality imaging.
An Overview of Eco-Driving Theory, Capability Evaluation, and Training Applications
Authors: Xu Nan , Li Xiaohan , Liu Qiao , Zhao Di
Published: October 2021

Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-saving and emissions reduction in the transportation industry. This paper reviews the energy-saving theory and technology of eco-driving, eco-driving capability evaluation, and the practical application of eco-driving, and points out some limitations of previous studies. Specifically, the research on eco-driving theory mostly focuses on a single vehicle in a single scene, and there is a lack of eco-driving research for fleets or regions. In addition, the parameters used to evaluate eco-driving capabilities mainly focus on speed, acceleration, and fuel consumption, but external factors that are not related to the driver will affect these parameters, making the evaluation results unreasonable. Fortunately, vehicle big data and the Internet of Vehicles (V2I) provides an information basis for solving regional eco-driving, and it also provides a data basis for the study of data-driven methods for the fair evaluation of eco-driving. In general, the development of new technologies provides new ideas for solving some problems in the field of eco-driving.
Characterization and Comparison of Biodegradable Printed Capacitive Humidity Sensors
Authors: Wawrzynek Emma , Baumbauer Carol , Arias Ana Claudia
Published: October 2021

Flexible and biodegradable sensors are advantageous for their versatility in a range of areas from smart packaging to agriculture. In this work, we characterize and compare the performance of interdigitated electrode (IDE) humidity sensors printed on different biodegradable substrates. In these IDE capacitive devices, the substrate acts as the sensing layer. The dielectric constant of the substrate increases as the material absorbs water from the atmosphere. Consequently, the capacitance across the electrodes is a function of environmental relative humidity. Here, the performance of polylactide (PLA), glossy paper, and potato starch as a sensing layer is compared to that of nonbiodegradable polyethylene terephthalate (PET). The capacitance across inkjet-printed silver electrodes is measured in environmental conditions ranging from 15 to 90% relative humidity. The sensitivity, response time, hysteresis, and temperature dependency are compared for the sensors. The relationship between humidity and capacitance across the sensors can be modeled by exponential growth with an R2 value of 0.99, with paper and starch sensors having the highest overall sensitivity. The PET and PLA sensors have response and recovery times under 5 min and limited hysteresis. However, the paper and starch sensors have response and recovery times closer to 20 min, with significant hysteresis around 100%. The PET and starch sensors are temperature independent, while the PLA and paper sensors display thermal drift that increases with temperature.
An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters
Authors: Roth Nils , Küderle Arne , Prossel Dominik , Gassner Heiko , Eskofier Bjoern M. , Kluge Felix
Published: October 2021

Climbing stairs is a fundamental part of daily life, adding additional demands on the postural control system compared to level walking. Although real-world gait analysis studies likely contain stair ambulation sequences, algorithms dedicated to the analysis of such activities are still missing. Therefore, we propose a new gait analysis pipeline for foot-worn inertial sensors, which can segment, parametrize, and classify strides from continuous gait sequences that include level walking, stair ascending, and stair descending. For segmentation, an existing approach based on the hidden Markov model and a feature-based gait event detection were extended, reaching an average segmentation F1 score of 98.5% and gait event timing errors below ±10ms for all conditions. Stride types were classified with an accuracy of 98.2% using spatial features derived from a Kalman filter-based trajectory reconstruction. The evaluation was performed on a dataset of 20 healthy participants walking on three different staircases at different speeds. The entire pipeline was additionally validated end-to-end on an independent dataset of 13 Parkinson’s disease patients. The presented work aims to extend real-world gait analysis by including stair ambulation parameters in order to gain new insights into mobility impairments that can be linked to clinically relevant conditions such as a patient’s fall risk and disease state or progression.
Problematic aspects of the classification of edible salt for customs purposes
Authors: Krishtafovich D.V. , Farrakhova A.R. =
Published: October 2021

The article examines the problematic aspects of the classification of edible salt that customs officials encounter during customs control of the reliability of the declared code for the EAEU Commodity Nomenclature of Foreign Economic Activity, based on the analysis of materials from judicial practice. Possible ways of solving the identified problematic areas are considered.

English version of the article on pp. 560-567 is available at URL: https://panor.ru/articles/problematic-aspects-of-the-classification-of-edible-salt-for-customs-purposes/70202.html
Functional flour products with herbal dietary supplements
Authors: Vasyukova А.T. , Slavyanskiy A.A. , Alekseev A.E. , Moshkin A.V. , Bondarenko Yu.V. , Adrov Yu.V.
Published: October 2021

The article examines the main components and features of the influence of sea buckthorn, laminaria, stevia, rice and corn flour on culinary flour products with increased nutritional value. The influence of rice flour on the formation of the quality of flour semi-finished products with its use was revealed. Compositions of ingredients were selected, preserving the traditional shape and taste of flour products. Formulations were developed, and the competitiveness of innovative flour products made from rice flour was evaluated. Organoleptic and physicochemical characteristics of the developed products were studied.
The properties of nanostructured dry extract of bergenia (bergenia crassifolia) and its use in the production of functional food products
Authors: Krolevets A.A. , Myachikova N.I. , Binkovskaya O.V. , Glotova S.G. , Semichev K.M. , Mamaeva E.M.
Published: October 2021

The paper presents the properties of a nanostructured dry extract of bergenia (self-organization and the size of nanocapsules are determined using the NTA method). The smallest average size is 118 nm in kappa-carrageenan, and the largest is 273 nm in sodium alginate with a “core : shell” ratio of 1:1. With regard to the polydispersity coefficient, it was shown that in sodium alginate, guar gum and kappacarrageenan it is 2.73–6.58, which corresponds to the ellipsoid form, while in sodium carboxymethylcellulose this coefficient is 1.1–1.3, which corresponds to a spherical shape, although the dimensions themselves are much larger. The resulting compounds have been used in a variety of functional foods.
The use of whey in the technology of functional products
Authors: Podgornova N.M. , Petrov S.М.
Published: October 2021

A technology for obtaining whey paste has been developed, based on the control of structure formation in lactose-containing protein systems by means of controlled crystallization.
The role of the main ingredients of chocolate in the formation of its beneficial properties for the consumer
Authors: Goloviznin I.V. , Ryzhakova A.V.
Published: October 2021

Chocolate is the most staple and consumed confectionery product in Russia and the world. The determination of the beneficial properties of such a product as chocolate is an important and regular process of food institutions in every country, since new lines of already well-known manufacturers and new manufacturers with an innovative assortment are added to the retail assortment. Today, it is very relevant and important to understand the impact of new products on human health. In this regard, in order to provide complete information on a specific product, it is necessary to know its composition, ingredients and their effect on the body separately and within the framework of a specific product. Along with its beneficial properties, chocolate can also affect health negatively. It is necessary to understand the mechanism of the effect of chocolate on human health when consumed and to assess the risks that may arise subsequently after its active consumption.
Standardization of the quality of olive oil
Authors: Rakhaev O.A.
Published: October 2021

For the EAEU member states, olive oil is mainly an imported product, for which an acute problem is not only its identification, but also its quality assessment. The lack of an interstate standard for olive oil forces us to address to Codex Alimentarius standards and look for taxes in the regulations for other liquid vegetable oils.
The properties of nanostructured nitrogen-containing alkylating compounds and their use in the production of functional food products for cancer treatment
Authors: Krolevets A.A.
Published: October 2021

The paper considers some properties of nanostructured nitrogen-containing drugs used in oncology on the example of ifosfamide and cyclophosphamide studied by self-organization and the NTA method.
Development of technology for producing flour with improved characteristics
Authors: Kozminykh A.K. , Sukhinina T.V. , Bobyleva O.V.
Published: October 2021

The article discusses the ways to improve wheat flour, including by adding coconut flour, which can reduce the gluten content and increase the amount of fiber, as well as improve the taste of baked goods made from this composite flour.
Grain bread: nutritional value, quality assessment and assortment
Authors: Guskova P.A. , Agapkin A.M.
Published: October 2021

Grain bread has a high nutritional and biological value, is rich in vitamins of B and E groups, phosphorus, chlorine, sodium, potassium, iron, zinc, manganese, as well as an essential amino acid — leucine. Compared to regular bread, cereal bread contains more fiber. Grain bread is popular not only in Russia, but also in other countries such as France, Sweden, Germany and the USA. The analysis of the assortment of grain bread in the “VkusVill” trading network has been carried out, since this network specializes in the sale of products for proper, healthy nutrition. 5 commodity items of the assortment of grain bread of the own brand “VkusVill” were considered. Their composition, nutritional value, as well as the price range were studied. When carrying out an organoleptic assessment of bread samples, 3 samples were selected: borodinsky dark rye bread “Khlebny Dom” as a control sample, and two grain breads of the brands “VkusVill” and “Fazer”. As a result of the organoleptic assessment, it was found that all bread samples meet the requirements of regulatory and technical documentation for organoleptic properties, as well as the requirements for food labeling.
Specificity of Task Scheduling Algorithms in Geographically Distributed Computer Systems
Authors: Agapov E. V. , Bobrov L. K. , Zaykov K. A.
Published: October 2021

The work is devoted to the consideration of the main widespread algorithms for scheduling tasks in geographically distributed computing systems. The specific features of the algorithms are characterized and their comparative analysis is presented in accordance with the selected criteria. The main factors that should be taken into account when constructing job control algorithms in geographically distributed computing systems are determined.
Extended Economy Model
Authors: Zonova A. V. , Karaulov V. M.
Published: October 2021

The issue of development of expanded (open) model of economic performance, ma­king it possible to account for the specifics of any country or region inclusive of internal and external factors, was considered. An expanded economy model is based on the core economy model containing the system of controlled parameters. Mathematical formulas of the models are presented. The study revealed the principle of the model construction and the way the system of controlled parameters in the expanded economy model makes it possible to «customize» the model against specific conditions of national, regional and sectorial economic performance.
O que fazer com o que as aulas remotas fazem comigo? Posição subjetiva de estudantes de uma escola pública
Authors: Correia Eanes Dos Santos , Silva Veleida Anahi Da , Nascimento Willdson Robson Silva do
Published: October 2021

O presente artigo tem o objetivo de discutir a posição subjetiva e bricolagem de estudantes do ensino médio de uma escola pública estadual da região agreste do estado de Sergipe diante das aulas remotas através do aplicativo Google Meet disponível gratuitamente através da plataforma digital Google. Pensando sobre o que acontece do outro lado da câmera com os estudantes, chegamos à principal questão de investigação: quais bricolagens os estudantes utilizam quando estão on-line nas aulas remotas? Fazendo uma discussão e análise com foco a partir das noções de posição subjetiva da Relação com o Saber de Bernard Charlot (2000; 2005; 2013) e de bricolagem de Michel de Certeau (1998). Enquanto sujeitos de relações consigo mesmo, o outro e o mundo, os estudantes não são passivos à ortopedia da Educação, eles também têm desejos, objetivos, metas e estão sempre em mobilização para alcança-los a curto ou longo prazo.
COVID 19: oportunidade de repensar como o dispositivo escolar configura a relação com o saber
Authors: Vercellino Solledad
Published: October 2021

O fechamento de escolas devido à pandemia COVID 19 permite pensar em a questão da situacionalidade da aprendizagem escolar. Situacionalidade que nestes tempos mudou. Apoiarei a conjectura, cuja fonte está em uma série de estudos que tenho realizado nos últimos anos em torno da escola primária de um estado subnacional argentino, de que nesta inédita interrupção da escolarização reside a oportunidade não só de tornar visível a potência desse arranjo histórico que é a escola, mas também de relocalizá-la como operação contingente, como sistema de práticas constituído por manobras que podem ser recriadas, reorientadas. É também interessante fundamentar a questão de saber se as novas condições escolares em que se dá a aprendizagem - a escola com sua nova materialidade e suas formas particulares de ordenar e regular pessoas, tempos, espaços, saberes - promoveriam outras aprendizagens ou outras formas de se relacionar com saber.
Dossiê - Apresentação
Authors: Silva Flávio Caetano da
Published: October 2021

Dossiê - Apresentação
Four Subjects in Solar Physics from the Point of View of the Electric Current Approach
Authors: Akasofu Syun-Ichi
Published: October 2021

Four major subjects in solar physics, the heating of the corona, the cause of the solar wind, the formation of sunspots and the cause of solar flares, are discussed on the basis of the electric current approach, a sequence of processes consisting of power supply(dynamo), transmission (currents/circuits) and dissipation(high coronal temperature, solar wind, sunspots and solar flares).This is because the four subjects have hardly been considered in terms of the electric current approach in the past, in spite of the fact that these subjects are various manifestations of electromagnetic processes. It is shown that this approach provides a new systematic way of considering each subject; (1) the long-standing issue of the coronal temperature, (2)the long-standing problem on the cause of the solar wind, (3)the presence of single spots(forgotten or dismissed in the past) and its relation to unipolar magnetic regions and (4) the crucial power/energy source and subsequent explosive processes of solar flares. The four subjects are obviously extremely complicated and difficult subjects, but it is hoped that the electric current approach might provide a new insight in considering the four subjects.
Does financial development help bridge the gap in income inequality? Evidence from selected Asian countries
Authors: Mazlan Nur Syazwani
Published: October 2021

This study delves into the effects of financial development (FD) on income inequality (IE), involving 12 Asian countries, with three different income level groups, over a period of 14 years (between 1993 and 2017). The three groups concerned comprise countries with a low, middle and high level of economic development. The findings derived through panel regression analysis, suggest that the impact of financial development on income inequality, with regards to the Asian countries selected for this investigation, is dependent on their level of economic development. It was also established, that for countries with a low economic standing, financial development has a positive relationship with income inequality.
Educação sexual para prevenir abusos: socializado visualmente conhecimentos em língua brasileira de sinais
Authors: Santos Saionara Figueiredo , Bitencourt Ana Carolina , Ramos Heitor , Vianna Joana
Published: October 2021

Este artigo propõe-se a socializar os resultados obtidos através do projeto de extensão intitulado “Sexualidade e segurança: oficinas e palestras sobre educação sexual para jovens surdos da Grande Florianópolis”, com financiamento do Instituto Federal de Santa Catarina, através do EDITAL PROEX nº 16/2018 Protagonismo discente. Este projeto teve como objetivo principal informar adolescentes surdos acerca de questões relacionadas aos estudos de Gênero e Sexualidade e toda sua amplitude. Conseguimos neste projeto articular a temática da surdez com discussões referentes a gênero e sexualidade, tomando por referência autores da perspectiva dos Estudos Culturais em Educação e dos Estudos Surdos. No nosso caso, essas temáticas foram entendidas a partir da diferença cultural. Nos propusemos a criar uma mídia escrita e em vídeo que auxiliassem a exposição desta linha de conhecimentos. Os alunos tiveram oportunidade de entender a relação ensino/pesquisa/extensão, bem como entender como a pedagogia de ensino é diferente no contexto de outra língua espaço-visual.  Tais mídias já foram compartilhadas com a comunidade e acreditamos que conseguimos colaborar, no contexto bilíngue, na difusão de conhecimentos sobre Gênero e Sexualidade. Ainda assim, também incentivamos que novas pesquisas e novos materiais precisam ser criados nesta temática, já que é um contexto amplo e ainda pouco abordado no ínterim das comunidades surdas. http://dx.doi.org/10.35700/ca.2020.ano7n13.p45-51.2871
Utilização de modelos celulares em biscuit como prática alternativa para o ensino de Biologia
Authors: Trindade Igor Cunha , De Paula Chimenes Carla Fernanda , Ruas Hilara Niemeyer , Gomes Marcos de Lucca Moreira
Published: October 2021

Buscando a integralização no processo educativo, este relato de experiência procurou demonstrar que a utilização de modelos celulares em biscuit auxilia e enriquece a compreensão do conhecimento em Biologia Celular, além de facilitar a articulação entre teoria e prática impactando vigorosamente no processo de formação docente. http://dx.doi.org/10.35700/ca.2021.ano8n15.p122-126.2941
Mapeamento de abelhas-sem-ferrão em uma Área de Preservação Permanente do Sul do Brasil
Authors: Antonietti Anderson José , Sedrez Mário Cesar
Published: October 2021

Diversos cientistas ao redor do mundo têm alertado sobre a diminuição das populações de abelhas devido às ações antrópicas, como o desmatamento e o uso de agrotóxicos. Preocupados com essa realidade local e mundial, a Fundação Jaraguaense de Meio Ambiente (FUJAMA) solicitou a elaboração do presente estudo em 2018, o qual teve como objetivo mapear e identificar as espécies de abelhas-sem-ferrão (ASF), na comunidade do entorno e na Área de Preservação Permanente (APP) do IFSC Campus Jaraguá do Sul-Rau. Para isso, foram confeccionados e instalados ninhos- isca em troncos de árvores de grande porte, à sombra, na APP do câmpus e na área do entorno, em casa de vizinhos da comunidade, sendo inspecionados semanalmente. As espécies de ASF que nidificaram nas iscas foram identificadas e entre 45 e 60 dias, após as capturas, os enxames eram transferidos dos ninhos-isca para as caixas racionais, dando início à estruturação de um meliponário modelo. Foram identificadas três espécies de ASF no entorno, a Jataí (Tetragonisca angustula), a Mirim-guaçu-amarela (Plebeia remota rufis) e a Mirim-droryana (Plebeia droryana). A participação da FUJAMA e os resultados obtidos são um indicativo à realização de futuras ações de extensão, visando a conservação de ASF e a introdução da atividade de meliponicultura na comunidade.http://dx.doi.org/10.35700/ca.2021.ano8n15.p42-51.2929
Aplicação da Educação Alimentar e Nutricional no contexto de uma escola para pessoas com deficiência
Authors: Assis Johnny Trindade , Carvalho Lynnara Rodrigues , Pires Caroline Roberta Freitas , Sousa Diego Neves de
Published: October 2021

A Educação Alimentar e Nutricional (EAN) tem por finalidade colaborar com a promoção e a melhoria na qualidade da saúde baseada numa alimentação saudável e adequada. Diante disso, o objetivo deste artigo é relatar a aplicação de ações de EAN que visou estimular e desenvolver o interesse pelo consumo de alimentos saudáveis nos escolares inseridos na Associação de Pais e Amigos dos Excepcionais (APAE) de Palmas-TO, utilizando diferentes estratégias de atividades lúdicas, com foco no estímulo para adoção de hábitos alimentares saudáveis. Durante as atividades, os alunos demonstraram certa dificuldade quanto ao reconhecimento de alimentos importantes para uma alimentação saudável devido às peculiaridades desses escolares. No entanto, a aplicação de ações de EAN se confirmou como uma importante ferramenta de aprendizagem e promoção da saúde.http://dx.doi.org/10.35700/ca.2021.ano8n15.p93-101.2896
Antibacterial Activity Testing on APMS (p-Methoxy Cinnamic Acid) Against Escherichia coli Bacteria
Authors: Masduqi Ahmad Fuad , Indriyanti Erwin , Dinurrosifa Rahmawati Salsa
Published: October 2021

This study aims to determine whether the compound APMS (p-methoxy cinnamic acid) has the antibacterial activity of Escherichia coli and to determine the effective concentration of the compound APMS (p-methoxy cinnamic acid) in inhibiting the growth of Escherichia coli bacteria. This research begins with the synthesis of APMS obtained through the knoevenagel condensation reaction with the sonochemical method. The synthesized compounds were tested organoleptically and their melting points were measured. The structure of the results was elucidated using FT-IR and GC-MS, then tested the antibacterial activity of APMS compounds against Escherichia coli. Data analysis with SPSS, 99% confidence level (p<0.01) and continued with ANOVA test. The compound synthesized by APMS is in the form of fine crystals with a glossy white color, has a characteristic odor, and produces a % yield of 92.71%. The level of p-methoxy cinnamic acid (APMS) produced from this study was 95% using the GC-MS Instrument. APMS compounds have antibacterial activity against Escherichia coli. The average inhibition zone formed at a concentration of 5%; 10%; and 15% respectively are 0.695 cm; 0.727 cm; and 0.855 cm The optimal concentration of this study was at a concentration of 15% which gave the greatest inhibitionKeywords: Antibacterial; Escherichia coli; p-Methoxy cinnamic acidUji Aktivitas Antibakteri Senyawa APMS (Asam p_Metoksi Sinamat) Terhadap Bakteri Escherichia coli  ABSTRAKPenelitian ini bertujuan untuk mengetahui apakah senyawa APMS (Asam p-metoksisinamat) memiliki aktivitas antibakteri Escherichia coli dan mengetahui konsentrasi efektif dari senyawa APMS (Asam p-metoksisinamat) dalam menghambat pertumbuhan bakteri Escherichia coli. Penelitian ini diawali dengan sintesis APMS ini didapatkan melalui reaksi kondensasi knoevenagel dengan metode sonokimia. Senyawa hasil sintesis diuji organoleptis dan diukur titik leburnya. Struktur hasil dielusidasi menggunakan  FT-IR dan GC-MS, kemudian uji aktivitas antibakteri senyawa APMS terhadap Escherichia coli. Analisis data dengan SPSS, tingkat kepercayaan 99% (p<0,01) dan dilanjutkan uji ANOVA. Senyawa hasil sintesis APMS berupa kristal halus berwarna putih mengkilap, memiliki bau khas, dan menghasilkan % yield sebesar 92,71%. Kadar Asam Para Metoksisinamat (APMS) yang dihasilkan dari penelitian ini sebesar 95% menggunakan Instrumen GC-MS. Senyawa APMS memiliki aktivitas antibakteri terhadap Escherichia coli. Rataan zona hambat yang terbentuk pada konsentrasi 5%; 10%; dan 15% secara berturut adalah 0,695 cm; 0,727 cm; dan 0,855 cm Konsentrasi yang optimal dari penelitian ini adalah pada konsentrasi 15% yang memberikan daya hambat yang paling besar.Kata kunci:  Antibakteri; Asam p-metoksi sinamat; Escherichia coli
DIRECT RESULTS OF CORONARY BYPASS GRAFTING OF PATIENTS WITH THE REDUCED MYOCARDIAL CONTRACTILITY IN TERMS OF MYOCARDIAL PERFUSION SCINTIGRAPHY AND ECHOCARDIOGRAPHY
Authors: Mansurov Abrol
Published: October 2021

This article provides an analysis of the results of surgical treatment of patients with various forms of coronary artery disease, the study of the quality and reliability of myocardial revascularization, assessment of patency and functional viability of coronary grafts in the early postoperative period using echocardiography and myocardial perfusion scintigraphy. The retrospective material of our study is based on the results of surgical treatment of 130 patients with coronary artery disease who were operated on in the IHD department over the past year. All patients underwent examination according to a standard protocol: electrocardiography, 24-hour Holter monitoring, selective coronary ventriculography and shuntography, echocardiography, perfusion scintigraphy before and after surgery, drug stress test to assess myocardial perfusion and contractility and its differentiation (ischemia, scarring) with hypoperfusion.