bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiperspektivität
Authors: Bergmann Klaus
Published: March 2022

Der moderne Geschichtsunterricht hat einen wesentlichen didaktischen Kern: das Erkennen und Anerkennen von Vielfalt und Differenz in menschlichen Lebensverhältnissen und Wertvorstellungen. Historisches Lernen, das auf Perspektivität und Multiperspektivität abhebt, wird diesem Prinzip in besonderer Weise gerecht. Es werden Verfahren der historischen Orientierung in der Welt kennen gelernt, Kategorien historischen Denkens eingeübt und vergangene Erfahrungen bedacht. Multiperspektivisches und kontroverses historisches Lernen ermöglicht Schülerinnen und Schülern eine eigenständige Auseinandersetzung mit der Vergangenheit.
Der Band liefert hierfür zahlreiche praktische Hinweise und Beispiele.
Von der Quelle zum Tafelbild III
Authors: Kohl Herbert , Wunderer Hartmann
Published: March 2022

Gelungene Tafelbilder können Dreh- und Angelpunkt eines guten Geschichtsunterrichts sein. Sie greifen problemorientierte Leitfragen auf, verdeutlichen historische Zusammenhänge und Prozesse
und ermöglichen Folgerungen für weitere Arbeitsschritte.
Die großformatigen A4-Bände zur Tafelarbeit bieten Quellentexte und die zugehörigen Tafelbilder zu
je 50 Themen des Geschichtsunterrichts.
Die Tafelbilder können sowohl von den Schülerinnen und Schülern selbst im Unterricht entwickelt
als auch vom Lehrer direkt in den Unterricht übernommen werden. Alle Tafelbilder sind auch auf CD-ROMs verfügbar und lassen sich so leicht per Beamer ins Klassenzimmer projizieren oder auf Folien für den Overhead-Projektor drucken.
Online Automated Library for Reading Books
Authors: Sree Sharmikha , s Meera
Published: March 2022

In today's environment, people are treated as equals to machines. So book lovers didn't have time to read their favorite novels, and even if they did, they couldn't read them manually, couldn't keep track of what they'd read, or remember what they'd read. In addition, not all books are available in the market at the time of need. People are unable to convey their thoughts and ideas on the book. So, using our app, we can keep track of the books we've read and also share our opinions on them. Users can provide comments or feedback on the book, making it easier for other users to choose a book based on the feedback and remarks. All the books published will be available so no need to search in markets for hours. A text reader option will be a feature in it.
Coordinated Control of AFS and DYC for 4WID-EVS Handling and Stability Based on Driving State Prediction
Authors:   Beijing Institute of Technology, CHINA, Liu Cong , Liu Hui ,   Beijing Institute of Technology, CHINA
Published: March 2022

Considering that the driver's response was not timely under extreme conditions, and there was a time delay between the driver's behavior and the actuator, which would destabilize the vehicle. A coordinated control strategy based on driving state prediction was designed for improving 4WID-EVS lateral stability and handling performance through direct yaw moment control system (DYC) and active front steering (AFS). Firstly, the coordinated control strategy of AFS and DYC was designed, which consisted of two parts: (1) A stability judgeing method based on sideslip angle and sideslip angular velocity phase plane was proposed. The phase plane stability boundary coefficient was adjusted by the road adhesion coefficient, which divided the coordination control region reasonably, so as to judge whether the vehicle was unstable and switched the appropriate subsystem. (2) A driving state prediction algorithm based on data stream mining technology and Markov theory was proposed. The fuzzy control theory which had good robustness was applied, the driving state in the future were made as the inputs, which could determine the weight coefficients of AFS and DYC in advance and effectively avoid the potential danger of entering the unstable state. Secondly, the nonlinear 3-dof vehicle model was used as the reference model, and AFS control strategy was designed based on model predictive control (MPC) theory. At the same time, in order to avoid no solution in the calculation process and improve the convergence speed of the solution process, the relaxation factor was introduced. The quadratic programming algorithm was adopted to find the optimal solution, so as to adjust the front wheel angle in real time to follow the desired path. In order to make up for the deficiency of AFS control strategy, the feedforward - feedback DYC control strategy was designed. A variable weight coefficient LQR feedback control strategy was proposed, and the matrix weight coefficient could be adjusted in real time according to the vehicle steering state in the future and the road adhesion coefficient at the present. Finally, the accuracy and real-time of the prediction algorithm were verified according to different and actual driving cycle data. The simulation experiments of typical working conditions were carried out based on commercial dynamics simulation software to verify the effectiveness of the coordinated control strategy. The simulation results showed that the coordinated control method of AFS and DYC proposed had better effect of driving stability control, which provided a new method for the design of vehicle active safety. KEY WORDS: distributed drive, coordination control, data stream mining, Markov, MPC
A Turbocharging Process Model with EGR for Passenger Car Engine Control and Performance Evaluation
Authors:   Osaka Sangyo University, JAPAN, Togai Kazuhide , Fujinaga Naoto ,   Mitsubishi Motors Corporation, JAPAN
Published: March 2022

"Passenger car turbochargers are contributing to further improvement of fuel efficiency by recovering discarded thermal energy and engine downsizing. This turbocharging process is a positive feedback system. The structure of this system was determined according to the principle equation of thermodynamics, and the parameters were determined through experiments to derive a reduced order turbocharging process model. It is feasible to obtain further fuel economy with EGR that increases combustion gas at stoichiometric air-fuel ratio. The fuel economy merit is limited within partial load in a naturally aspirated engine. However, the fuel economy range can be extended in an engine with a turbocharging system. A suitable turbocharged engine model is required to evaluate fuel economy strategies or to design an engine controller. A smaller model is preferable considering model construction work and calculation time. A turbocharged engine consists of many sub-systems and each sub-system has different cutoff frequency that determines calculation sample time, e.g. cut off frequency of turbocharger is much smaller than that of a vehicle because of lower inertia. Since one cycle work of the gasoline engine is determined at the time of intake valve close, the mean value engine model is useful in terms of accuracy and convenience if combustion fluctuation is not considered. Turbocharging process is a feedback system with a positive gain, i.e. increasing exhaust work leads to increasing a cycle work. The feedback path consists of a turbine – compressor system. Behavior of the system was studied with turbine speed measurement on a test engine. The gain of the feedback system is determined mainly by exhaust work ratio in a cycle and inertia of the turbine. Each stroke work ratio to indicated mean effective work in a cycle was also investigated with EGR based on the engine test. A turbocharging process model was obtained using the work ratio in a cycle and theoretical equations. The model is applied to investigate manifold absolute pressure strategies with EGR."
Multiple coupling vibration analysis and suppression in single stage planetary transmission system
Authors:   Beijing Institute of Technology, CHINA, Yan Pengfei , Liu Hui ,   Beijing Institute of Technology, CHINA
Published: March 2022

"The transmission system is subjected to multi-harmonic torque excitation of the engine, random excitation of road, dynamic meshing excitation of gears, and contact excitation of bearings, etc. Wide-band strong excitation acts on a multi degree of freedom nonlinear vibration system, and the transmission route and vibration phenomenon are complicated, vibration and noise issues are prominent. At the same time, the bending torsional coupled vibration, the box and shafts system coupled vibration, and the various modes coupled vibration of the transmission system will also generate strong dynamic loads, and even cause fatigue damage to parts and power interruptions in severe cases. Therefore, it is necessary to further study the vibration characteristics of the multi-stage planetary transmission system, especially the coupling mechanism of the vibration. Most previous researches are based on linear vibration theory or low degree of freedom systems, and less consideration is given to such multi degree of freedom nonlinear transmission systems with strong coupling. However, in multi degree of freedom nonlinear systems, the resonance phenomenon is complex and unavoidable, and under the action of multi-source wide-band strong excitation, multiple resonance phenomena such as main resonance and combined resonance may be induced, which is more complicated than simple systems. Therefore, it is also necessary to deeply study the coupling vibration mechanism of the system and suppress the system resonance. Based on the nonlinear factors such as tooth profile error, dynamic clearance, time-varying meshing stiffness and damping, manufacturing error, installation error, mass eccentricity and geometric eccentricity, a multi degree of freedom nonlinear transverse-torsional-pendulum coupled vibration model of single-stage planetary gear system is established. Under different working conditions, the vibration amplitude and phase of each component were studied, and the vibration form between each component was analyzed. Through frequency domain and time-frequency analysis of vibration response, the vibration coupling relationship between each direction and each component of the system under different working conditions is studied. Through the sensitivity analysis of the system parameters inertia, mass, stiffness of the supporting shaft and mesh stiffness, the key parameters which have great influence on the coupling vibration of the system are identified. The system coupling degree analysis standard of coupling vibration is established, and the influence rule of sensitive parameter change on coupling vibration is summarized. On the basis of coupling vibration analysis, this paper summarizes the coupling vibration analysis method of the system, and optimizes the system to achieve the purpose of vibration suppression."
Impact on the Quality of Automated Lateral Driving When Implementing an 2DOF Steering Model and Vary Driving Dynamic Quantities
Authors:   TU Delft, NETHERLANDS, Staiger Julian
Published: March 2022

This paper discusses the impact of changes in driving dynamic quantities on the lateral driving quality of a vehicle when its lane keeping assistance (LKA) is activated. Moreover, this paper will pay attention to changes in driving accuracy when implementing a 2-degree-of-freedom (DOF) steering model in the simulation. Attention will be paid on the design and implementation this model. A detailed description of the used approach will be given and the system will be assessed by a handling test. All simulations are carried out with activated lane keeping system, while the changes in driving dynamic quantities concerns the wheelbase, vehicle mass and tire oblique stiffness. Simulations are carried out with a defined driving maneuver and defined road that corresponds to a real one. The quality of the vehicles lateral movement will be measured by key performance indicators (KPI). The maximum overshoot in lateral distance to center line for a trajectory return will be considered. All results are compared with a simulation without any LKA usage and no implementation of the steering system model. In this basic scenario only the vehicle dynamics which can be attributed to the linear bicycle model does play a role. Comparing the simulation results with activated LKA to the basic scenario a higher deviation of the KPI could be found. Besides, higher maximum values for the KPI appear. When implementing the steering system model and activating the LKA even higher overshoots and deviations of the KPI could be found. The variation of the vehicle's wheelbase shows the highest impact on the quality of lateral control. Miner impacts could be shown when variate vehicle mass and oblique stiffness. A two-parameter variation is carried out that does show no unexpected behavior when changing vehicle mass and tire oblique stiffens at the same time. Moreover, it shows that changes in vehicle mass have higher impacts when running simulations with small tire oblique stiffens. In addition, when applying small values for the tire oblique stiffens while the steering model is activated the previously seen higher deviation in the KPI do disappear.
Development of Lateral Control for Different Electric Vehicle Drive and Steering Systems
Authors:   Technische Hochschule Ingolstadt, GERMANY, da Silva Junior Amauri , Birkner Christian ,   Technische Hochschule Ingolstadt, GERMANY, Shirur Naveen ,   Technische Hochschule Ingolstadt, GERMANY
Published: March 2022

It is necessary to implement a stable and robust longitudinal and lateral motion control for autonomous vehicles to follow the trajectory precisely, and especially crucial for emergency scenarios to avoid a crash or to minimize the crash severities. Automated driving vehicles have the possibility of different, mainly electric drive configuration as well as different steering systems. At the same time, lateral control is a requirement to achieve the desired vehicle's behavior. Within this scope, the objective of this paper is to develop a simplified and flexible lateral control that can be applied to the most current vehicle's drive and steering combination, reaching the vehicle's preferred behavior by adapting a reduced number of parameters. A complete vehicle dynamics simulation model in Matlab/Simulink is used to establish lateral control. A driver model is included to perform the necessary closed-loop test maneuvers and to calculate the necessary input parameters of the controller based on the environmental and vehicle constructive characteristics. After setting the desired path, the lateral control defines the optimum steering angle accordingly by using an improved path previewing approach. This approach makes use of look-ahead observation fields between the desired and the actual path, combined with a control strategy to correct the vehicle's center of gravity error. The performance of the lateral control is evaluated against different vehicle architectures. It includes a car with three possible powered electrical drive systems (all in-wheel, front-wheel, and rear-wheel drive) and three steering configurations (front-parallel, front-Ackermann and four-wheel steering). The results reveal that the parameters of the lateral control have a substantial influence on the gap between the actual and desired path. The path preview approach enables the quantity and property tuning of the look-ahead observation fields, which can result either in an aggressive or a smooth maneuver. Among the investigated architectures, the four-wheel steering with all in-wheel drive leads to the fastest response in an emergency scenario.
Analisis Perilaku Siswa Sekolah Dasar Selama Pandemi Coronavirus Disease-19 (Covid -19)
Authors: Nugroho Agung , Cindy Ayasti Erlin
Published: March 2022

Pandemi Covid 19 yang melanda lebih satu tahun menuntut peran lebih seluruh lapisan masyarakat termasuk siswa dalam menerapkan protokol kesehatan guna mengurangi penyebaran virus tersebut. Artikel berupaya untuk menganalisis perilaku siswa sekolah dasar selama pandemi Covid 19 serta faktor penyebab perilaku tersebut. Artikel ini merupakan jenis deskriptif kualitatif dengan responden utama penelitian yaitu siswa sekolah dasar di Kecamatan Baturraden, Kabupaten Banyumas sedangkan responden pendukung yaitu orang tua siswa. Data diperoleh dengan teknik wawancara pada seluruh responden. Data yang telah diperoleh kemudian direduksi, analisis, disajikan hasil serta penarikan kesimpulan. Hasi penelitian menunjukkan bahawa perilaku siswa diawal pandemi menunjukkan 70% responden menaati protokol kesehatan 5M, namun setelah satu tahun pandemi perilaku siswa menunjukkan hasil 75% responden sudah mengabaikan protokol kesehatan 5M. Faktor penyebab perilaku diawal pandemi yaitu: rasa takut siswa, lingkungan keluarga dan masyarakat serta faktor media. Sedangkan faktor perilaku siswa saat ini yaitu; rasa bosan dan malas, lingkungan keluarga serta lingkungan masyarkaat yang mulai tidak disiplin menjalankan protokol kesehatan meski masih masa pandemi Covid 19.
Köy Okulunda Müdür Olmak: Sorunlar, Uygulamalar ve Çözüm Önerileri
Authors: AKIN Uğur , ADIGÜZEL Özcan , AYTAŞ Erhan
Published: March 2022

Bu araştırmada, köy okulunda müdür olmaya ilişkin olarak köy okulu müdürlerinin görüşlerinin değerlendirilmesi amaçlanmıştır. Okul müdürlerinin köy okullarındaki deneyimleri üzerinden fenomenolojik bir yaklaşımla gerçekleştirilen araştırmaya 29 köy okulu müdürü katılmıştır. Okul müdürleriyle yapılan görüşmeler içerik analizi ve betimsel analiz teknikleriyle derinlemesine incelenmiştir. Araştırma sonuçlarına göre, köy okulunda müdür olmak imkânsızlıklarla mücadele etmeyi gerektiren zor bir görevdir. Bunun yanında sıcak ve samimi ilişkilerin olduğu bir aile ortamı gibidir ve birçok öğrenme fırsatı da sunmaktadır. Köy okullarında bürokratik işler, altyapı ve kaynak temini, eğitim-öğretim süreçleri, taşımalı eğitim süreci, öğrenci, öğretmen ve velilerle ilgili birçok sorun yaşanmakta ve okul müdürleri bu sorunların üstesinden gelmek için farklı çözüm yolları üretmektedir. Araştırma sonuçları, köy okullarının köy okulu müdürlerini aşan, Bakanlık düzeyinde çözülmesi gereken sorunları olduğunu ortaya koymaktadır. Bu sonuçlara dayalı olarak; köy okullarına tüm süreçlerde pozitif ayrımcılık yapılması, bütçe verilmesi, köy öğretmenlerinin özlük haklarının iyileştirilmesi ve velilere yönelik kapsamlı bilinçlendirme çalışmaları yapılması gibi öneriler getirilmiştir.
Early Childhood Education as an Instrument for Good Governance in Nigeria
Authors: Okoroafor Nnenna Clara , Akande Eniola Olutoyosi , Ikuenomore Mosunmola Grace , Onuegbu Ijeoma Evelyn
Published: March 2022

This paper examined Early Childhood education as an instrument for good governance in Nigeria. Good governance, is a situation whereby those in power decides what is to be implemented or not without making the governed feel marginalized. Good governance requires certain characteristics before one can say it is good. Characteristics like accountability, vividness, responsive participatory attributes, effectiveness and efficiency in duties, follow up of all the due process of the law are needed. In Nigeria, Early Childhood education is an education given to children in a formal school setting. It starts from 0-8 years, which means that the child starts from crèche through primary three to acquire this education. At this stage, children are taught social norms and social skills like friendship, volunteering, sympathy, kindness, empathy, truthfulness and accountability. It has been observed that most developing nations are experiencing the problem of under-development economically, socially, politically and morally to mention but a few. This problem could be traced to negligence, non-challant attitude as well as unawareness of what good early childhood education entails on the part of parents and teachers. Since good governance is directly related to social and moral habits, good governance cannot be achieved if people being governed are socially and morally undeveloped, which may be due to the fact that they do not have good social skills due to lack of training at the early childhood stage of education. Therefore, the good governance characteristics for the future leaders should be imbibed in early childhood education. Hence, there is need for the government to encourage parents to enroll their children in early childhood education.
Distribution Network Reconfiguration Method based on Adaptive Multi Population Fruit Fly
Authors:   School of energy and transportation systems, Peter the Great St.Petersburg Polytechnic University, St.Petersburg 195251 Russia, Kaiyue Zhang  , Minan Tang  ,   School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070 PR of China, Qianqian Wang  ,   College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730070 PR of China, Peihua Zhou  ,   General Management Department, Property Company of Lanzhou Rail Transit, Lanzhou 730050 PR of China
Published: March 2022

Aiming at the nonlinear multi-objective optimization problem of distribution network reconfiguration, the weight of three objective functions, namely network loss, load balance and voltage offset, is determined by the random weight method, which is transformed into a single objective function with the same dimension, the same attribute and the same order of magnitude. The optimal reconfiguration scheme is obtained by using the adaptive multi-population fruit fly optimization algorithm (AMFOA). The node-branch matrix is used for binary coding to avoid the generation of infeasible solutions, and the dynamic step adjustment strategy is introduced to enhance the local search ability of FOA and achieve the effect of balancing global and local search, Cooperative subpopulation strategy and Chebyshev chaotic mapping are used to improve the global search ability and increase the optimization speed. Through the simulation and analysis of a typical IEEE 33-node system with DG, the effectiveness and practicability of the strategy are verified.
Induction Heating Stove Prototype of 130 kHz using Arduino Uno
Authors:   Department of Electrical Engineering, Institut Teknologi Nasional Bandung (Itenas), Indonesia, WALUYO  , SUSANA Ratna ,   Department of Electrical Engineering, Institut Teknologi Nasional Bandung (Itenas), Indonesia, KURNIADI M. Robbie ,   Department of Electrical Engineering, Institut Teknologi Nasional Bandung (Itenas), Indonesia
Published: March 2022

Induction electric heating utilizes the momentum of skin effect resulting from eddy current. In this study, the eddy currents exist in coils that have been induced from the heating and skin effect occurs on the skin of coil sheath that induces heat on the workpiece. This study also discussed the design of one induction electric heating method that is rarely used in cooker’s coils that using resonant circuit of zero-voltage switching (ZVS). Typically, ZVS circuits are used on heater coils such as solenoid-shaped coils, so, in this study, there is an opportunity to utilize ZVS resonant circuit for heating on cooker coils in the form of pancake coils. The ZVS assisted the induction process in the heating control circuit. It used an Arduino Uno-based control circuit due to complete parts and compact. The microcontroller was played as the keypad and push-button input control. The sensor and display were played as the output. From the test results to determine the size of toroid transformers obtained toroid black type with a cable size about 1.5 mm solid with 10 turns. To determine the size of the coil pancake obtained air gap copper wire with a diameter of 4.7 mm (≈5 mm) with 12 turns. The average temperature rise reached 0.0815°C/s and 0.0889°C/s for the thermocouple and thermometer readings, respectively. The average heating rates were 21.4 cal/s and 81.6 cal/s, respectively for collector 1 and collector 2. The higher the temperature want to achieve, the lower the value of heat transfer efficiency. The yielded induction heating operational frequency on both channel was almost balanced at a frequency of 130-131 kHz, before shunt resistor installation. This small variation was probably cause by the choke position which was influenced by the pancake coil that was not exactly in the middle of the overall length of the coil. While, after shunt resistor installation, the yielded induction heating operational frequency was 125 kHz, which was for measurement purposes.
Electronics: The Innovation Driver of the Automotive Industry
Authors:   Prof. Eng., Doctor Honoris Causa of Military Technical Academy of Romania and of Technical University of Republic of Moldova (Chișinău), BĂJENESCU Titu-Marius ,   Romanian Academy „Tudor Tănăsescu” Prize Laureat
Published: March 2022

The industry is likely to witness more changes in the next decade than in the last 20 years, and the time to respond is now. The mix of markets driving the global automotive sales has changed yet again. Growth has shifted to markets such as the US, Western Europe and China, while the emerging markets have cooled off. And the pace of global vehicle sales growth is expected to slow over the next few years. Disruption has become the fundamental to the rapid evolution of the mobility ecosystem. Innovation is challenging established principles, from value proposition to cost drivers and product life cycles. Purchasing decisions made for each ride are influenced by factors including availability, comfort, ease of use, reliability ratings and pricing. Autonomous driving functions could not be realised without artificial intelligence. The computing power required for this is provided by chips that are specialised in parallel computing. Researchers are also working on new biologically inspired solutions and on quantum computers that promise even more computing power.
Automatic Correcting Mathematics Operating System based on AI
Authors:   Oxbridge College,Kunming University of Science and Technology, Kunming Yunnan, PR of China, Jianbo Zhang  , Qun Yin  ,   Kunming University of Science and Technology, Kunming, Yunnan, PR of China, Duan Peng-Fei  ,   Kunming University of Science and Technology, Kunming, Yunnan, PR of China, Xianyun Zhang  ,   Kunming University of Science and Technology, Kunming, Yunnan, PR of China, Meisu Yin  ,   Hunan University, Changsha, Hunan, PR of China
Published: March 2022

With the development of society, the advancement of science and technology has become an important basis for whether a country is strong or not, and the development of science and technology cannot do without a solid mathematical foundation. Mathematics is the most important is to calculate, and the enhancement of computing power is to need constant practice to do the problem and correct the wrong problem, so this design of an ai-based automatic correction math homework system. The design of the system can be divided into two parts, the front user operating platform interface design and background function design. The function realization of the background can be divided into five modules, which are image recognition module, mathematical operation module, answer comparison module, data interaction module and image processing module. The image recognition module is used to recognize the text in the picture and obtain the coordinates. The mathematical operation module is used to carry on the operation to the identified problem; The answer comparison module is used to judge right and wrong; The data interaction module USES MySQL database for data interaction. Image processing module is used to identify right and wrong.
Dynamic Optimization Strategy of Large Airport Cargo Location based on Virus Evolutionary Genetic Algorithm
Authors:   School of Mechanical and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070 PR of China, Jiandong Qiu  , Kaiyue Zhang  ,   School of energy and transportation systems, Peter the Great St.Petersburg Polytechnic University, St.Petersburg 195251 Russia, Minan Tang  ,   School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070 PR of China
Published: March 2022

The automated stereoscopic warehouse of large airport plays an important role in logistics, in which cargo access efficiency is the most important part. And cargo location optimization is an effective method to improve its efficiency. After comparing and analysing the structure and working characteristics of bulk cargo processing system in large airport cargo station, the dynamic optimization problem of the cargo location was modelled. The virus evolutionary genetic algorithm (VEGA) was selected for optimization simulation, and the time-consuming rule was designed according to the actual optimization conditions. A cargo location numbering rule based on time-consuming rule was designed according to the actual optimization conditions. Simulation results show that both the convergence and calculating speeds of the VEGA have been obviously improved compared with those of the traditional genetic algorithm, which can meet the actual needs of the field better.
Student Attendance Analysis and Statistics Platform based on Capture Recognition Technology
Authors:   Oxbridge College,Kunming University of Science and Technology, Kunming Yunnan, PR of China, Jianbo Zhang  , Qun Yin  ,   Kunming University of Science and Technology, Kunming, Yunnan, PR of China, Duan Peng-Fei  ,   Kunming University of Science and Technology, Kunming, Yunnan, PR of China, Meisu Yin  ,   School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070 PR of China
Published: March 2022

With the development of face recognition technology and HD camera, it is possible to use face recognition to realize the classroom attendance statistics. The traditional way of classroom attendance statics needs teachers to roll call according to the list of students, but face recognition can not only save the time of class, but also lighten the burden of statistics attendance of school. This paper realizes the face recognition system of attendance analysis and statistics platform, and it needs cameras and a main computer. In software, under the development environment of VS2017, it relies on OPENCV, arcsoft face recognition SDK and My -SQL database realizes a real-time video stream face recognition system with C++ programming. The system captures the student face by the camera installed in the classroom, then using SDK extracts the face feature and compares with the feature in the database. When the compare value is over the set value, the system will output the corresponding students' information and completion time to the TXT file.
Impact of the pandemic on the world's best brands
Authors: Tuleubayeva М. K. , Rakhimbayeva R. M. , Baimukhanova M. T. , Makenova G. U.
Published: March 2022

The pandemic has negatively impacted thousands of businesses, but many global brand companies have adapted to the situation and have made great strides by changing their strategies. Global brand companies were able to increase their market capitalization from 12% to 565% during the pandemic and isolation. The article analyzes the market capitalization of companies included in the "100 best in the world" rating, the size of large companies in the region and its changes, changes in the market capital of countries such as Japan, UK, Germany, Canada, USA, France, China. In the course of the analysis, the author reviewed the reports of the “500 best companies in the world”, “100 best companies in the world”, materials of the World Economic Forum “World Competitiveness Index”. When analyzing the market capitalization of the best companies in the world, general logical methods were used to collect information and effectively search, group, process and summarize the necessary material, compare materials of international organizations and ratings, as well as the work of research scientists. According to the comparative method, the analysis was carried out on the example of the best US companies: Apple Inc., Microsoft Corp, Amazon. som Inc., Chinese giants: Tencent, Alibaba GRP-ADR, Kweichow Mouta, the best in Japan: Toyota Motor, Sony Group Corp, German companies like Volkswagen AG and famous French companies like L'oreal and others
Risk management in the system of state management
Authors: Omarkhanova A. S.
Published: March 2022

The article is aimed at a comprehensive study, generalization and detailed analysis of scientific and practical information, risk management experience in the public sector. The author examines the experience of implementing a risk management system in the UK, the United States of America, their features and the main directions of development in the public sector. The study identifies the main components, stages and requirements necessary for the use of risk management in public administration. The article examines the regulatory framework of the Republic of Kazakhstan regulating the instruments of the risk management system at the level of strategic planning of public administration, and in the implementation of control and supervisory functions of state bodies. As a result of the study, the points confirming the low level of implementation and use of risk management tools in the public administration system of the Republic of Kazakhstan are indicated. The paper pays considerable attention to the main causes of risks characteristic of organizations operating in the public sector. The scientific novelty of the article lies in the formation of conceptual foundations for the introduction of risk management into the public administration system of the Republic of Kazakhstan. The introduction of risk management methods will increase the efficiency and effectiveness of decisions made by public authorities, and become an important component of the strategic development of public administration. The author, using the methods of system analysis, such as generalization, scientific abstraction, comparison, analysis, identified the main problematic issues of implementing risk management in the public administration system of the Republic of Kazakhstan. In the future, the results of the study can be used as a scientific and methodological basis for training and advanced training of specialists in the field of public service.
Social protection of youth in the conditions of COVID–19
Authors: Sabirova R. К. , Khassenova К. К. , Zinullina A. I. , Saparova А. N.
Published: March 2022

This article examines the foreign countries experience of the population’s social protection during the COVID–19 pandemic, including state social protection of youth. In the context of the pandemic, an online survey was conducted among the youth of Kazakhstan and it was found out how COVID–19 affected youth employment. One of the main objectives of the ongoing social policy in Kazakhstan is to improve the policy of social protection on the principle of a differentiated approach to a certain category of the population, including youth. Social protection of the population is becoming increasingly relevant during a pandemic.The key purpose of the article is to consider the main elements of social protection of youth in foreign practice and to give recommendations on social protection of youth in Kazakhstan by the state by analyzing the main results online survey of youth of Kazakhstan.During the study, methods of scientific generalization and comparative analysis were used. Social protection by the state during the COVID–19 pandemic should be in the form of three blocks (subsystems), namely: social protection of working, that is, employed youth; social protection of citizens with disabilities, as well as socially vulnerable segments of the population, including unemployed youth; social protection of youth in the socio-cultural sphere.
CONDITIONAL RELEASE: POSSIBILITIES AND OBSTACLES IN SERBIA AND THE NETHERLANDS
Authors:   Public Prosecutor’s Office, North-Netherlands in Groningen, Hoekman Jan , Krstić Gordana ,   Second Basic Public Prosecutor’s Office, Belgrade
Published: March 2022

This paper analyses the concept of conditional release in the Netherlands and Serbia, to provide a comparative overview of the two legal systems, and to suggest how legal solutions could be improved. Conditional release is functionally correlated with imprisonment as the main criminal sanction, entailing the deprivation of liberty, whilest, it is also an alternative to imprisonment. It creates the possibility for the convicted person to be released from prison before they have fully served their sentence, provided that certain conditions are met. While serving the sentence, the convicted person is obliged to act upon the individual plan to rehabilitate, focus on work, and minimize the risk of re­offending. Since there are different categories of convicted persons in the penal environment, this paper will also examine whether all these categories of convicted persons deserve to be released on parole or whether perhaps conditional release is reserved only for privileged ones.
ANTICORRUPTION CHALLENGES IN SERBIA AND HUNGARY: IN(EFFICIENT) MONITORING OF THE ANTICORRUPTION POLICIES
Authors:   Institute of Criminological and Sociological Research, Belgrade, Kolaković-Bojović Milica , Miklós Tihanyi ,   University of Public Service Faculty of Law Enforcement, Department of Public Service, Budapest, Hungary
Published: March 2022

Fight against corruption constitutes one of the main challenges to face with in the post­transitional, especially post­communist societies, as those who, like Hungary, have already joined European Union, as for the rest of them that, like Serbia, are still in the status of candidate for the membership. An efficient anticorruption measures include, not only preventive and repressive measures in the vital areas of the state and the society, but also a strong and vibrant monitoring mechanism developed at the national level to monitor overall anticorruption policies. Furthermore, in order to ensure an objective assessment of the anticorruption policies among members states and the candidate countries, such mechanisms need to developed also at the EU level. Considering all of this, this paper aims to analyse the current state of play of the monitoring of the anticorruption policies in Serbia and Hungary, focusing on the proliferation of the monitoring mechanisms and on the gaps and overlaps in the systems. The paper also tackles the EU fail to establish a uniform and sustainable anticorruption monitoring mechanism, including the omission to apply it equally on the member states and the candidate countries.
THE LEGAL NATURE OF EXTRADITION AND EXPULSION, CONSTITUTIONAL AND CRIMINAL JUSTICE REGULATION
Authors:   Faculty of Law Public Order and Civil security Academy “Stefan cel Mare”, Moldova, Ursu Veaceslav
Published: March 2022

The study examines the extradition and expulsion, analyses the constitutional and criminal justice regulations of the legal institutions under consideration, identifies their particularities and the reveals their legal nature. Based on the identified features, the author tried to highlight the essential similarities and differences of the institutions concerned, in order to finally discover and describe the legal nature of expulsion and extradition.
The Influence of Financial Distress, Debt, And Profitability on the Audit Opinions of Going Concerned with Industry-Specialist Auditors as Moderating Variables
Authors:   STIE YKPN Yogyakarta. Jalan Seturan Yogyakarta 55281. Indonesia, Khairunnisa Theresia Trisanti
Published: March 2022

This study aims to examine the effect of financial distress, debt, and profitability on the acceptance of going concern audit opinions with the industry-specialist auditors variable as the moderating variable, this research was conducted on the manufacturing industry listed on the Indonesia Stock Exchange for the 2018-2020 period. The data used is secondary data obtained from the Indonesia Stock Exchange website and the company's official website. The theory used is agency theory and signal theory. These two theories can provide an overview of the correlation between the variables in the study. The analytical method used is logistic regression analysis and moderated regression analysis with an absolute difference value approach. The results showed that the financial distress variable proxied by the Altman z-score, and the profitability variable proxied by Return on Assets had a positive and significant effect on the acceptance of going concern audit opinion. In addition, the industry-specialist auditors variable as a moderating variable can strengthen the negative effect of profitability on going-concern audit opinion. Meanwhile, the debt variable as proxied by the Debt to Equity Ratio does not have a positive effect on the acceptance of going concern audit opinions, as well as the industry-specialist auditors variable which is expected to strengthen the positive influence of financial distress, and debt is not supported.
Ego Depletion as Mediation Emotional Intelligence and Spiritual Intelligence to the Performance of Malang Tax Consultants
Authors:   Gajayana University Malang-Indonesia, Jamil Nur Azizah
Published: March 2022

This study aims to analyze the effect of emotional intelligence on performance, analyze the influence of spiritual intelligence on performance, analyze the effect of emotional intelligence on ego depletion, analyze the influence of spiritual intelligence on ego depletion , analyze the effect of ego depletion on tax consultant performance, analyze ego depletion as a mediator of emotional intelligence. on the performance of tax consultants, as well as analyzing ego depletion as a mediator of spiritual intelligence on the performance of tax consultants. The sample in this study were 71 respondents. The analysis technique uses path analysis. The results of this study indicate that emotional intelligence has an effect on the performance of tax consultants. Spiritual intelligence has an effect on the performance of tax consultants . Emotional intelligence has an effect on ego depletion. Spiritual intelligence has an effect on ego depletion . Ego depletion affects the performance of tax consultants. Ego depletion as a mediator of emotional intelligence on the performance of tax consultants. E go depletion as a mediator of spiritual intelligence on the performance of tax consultants.
CYTOKINES AS POTENTIAL MARKERS OF COVID-19 SEVERITY AND OUTCOMES
Authors: Fedorchenko Yuliya , Zimba Olena
Published: March 2022

The continual propagation of SARS-CoV-2 has changed health care systems globally. Ranging degrees of clinical severity in COVID-19 patients have been noted in numerous literature sources. Cytokines play a crucial role in the development of key immunological processes in COVID-19. SARS-CoV-2 causes imbalance of the immune system and might culminate in cytokine storm and multiple organ involvement. The prevailing role of some special cytokines might serve as indicators of disease severity. Further stratification of patients in the context of specific cytokines can be beneficial for diagnosing disease stages. It can prevent critical states owing to timely diagnosis and targeted therapy. Targeting peculiar cytokines can markedly reduce complications. The aim of this article is to comprehensively overview the role of the main cytokines in COVID-19 pathogenesis and distinguish prognostic factors. Insights into specific cytokine involvement in COVID-19 pathogenesis may open new avenues for diagnosing hyperinflammatory COVID-19, predicting its outcomes and providing individualized cytokine-targeted therapeutic approaches.
SMOKING AND BUERGER’S DISEASE: FROM HYPOTHESES TO EVIDENCE SYNTHESIS
Authors: Fazeli Bahare , Masoudian Mitra
Published: March 2022

Early after the definition of thromboangiitis obliterans (TAO), it was noticed that TAO patients are almost always tobacco smokers. Later on, the relationship between continued smoking and TAO prognosis was documented. Consequently, smoking came to be considered as the main cause of TAO. However, it is still unknown why, amongst millions of smokers, only a small number develop TAO. It also remains unknown why, of the TAO patients who continue smoking, only half of them show aggravation and undergo amputations. The aims of this review are to investigate evidence in support of or against the relationship between TAO and smoking, according to the TAO-related literature published from 1908 to January 2022, and to discover the possible role of smoking in TAO pathophysiology. Taken together, it appears that smoking predisposes TAO patients toward the potential harmful effects of the main aetiology and helps the main aetiology to develop vascular lesions. Therefore, smoking cessation would almost always be helpful for improving the prognosis of TAO patients and reducing disease manifestation. However, concluding that smoking is not the main aetiology of TAO would open a new door to finding the true main aetiology of TAO and to discovering the appropriate treatment and medical management of patients who fail to stop smoking.
Pain score and other factors affecting the postoperative discharge time of patients who underwent lung resection: a retrospective study
Authors: ÜLGER Gülay , ZENGİN Musa , İNCEKARA Funda , BALDEMİR Ramazan , SAZAK Hilal , ALAGÖZ Ali
Published: March 2022

Aim: Many factors affect the hospitalization period of patients after surgery. One of the most important of them is postoperative pain. Our study aims to investigate the relationship between the postoperative discharge time and the postoperative 24-hour visual analog scale (VAS) pain scores of patients who underwent thoracotomy and lung resection. Additionally, we also want to identify the parameters that affect the day of discharge, VAS scores, and chest tube removal time of these patients.

Material and Method: Data of patients who underwent elective thoracic surgery between February 2021 and August 2021 in a tertiary chest disease and thoracic surgery center were analyzed patients aged between 18 and 75 years, in the ASA I-II-III risk group, with a body mass index (BMI) in the range of 18.5-35 kg/m2, who underwent thoracotomy and resection due to lung malignancy. Following data were extracted co-morbidities, diagnoses, performed surgery, type of surgery, duration of surgery, intraoperative complications, intraoperative blood product transfusion history, postoperative advanced complications, postoperative 24-hour VAS, length of stay, and length of chest tube stay.

Results: A total of 104 patients who underwent elective thoracotomy and lung resection under general anesthesia between February 2021 and August 2021 were included in the study. There was a positive and highly statistically significant correlation between discharge time and chest tube removal time (p < 0.001). There was no statistically significant correlation between discharge times and VAS scores (p=0.553). Additionally, there was no statistically significant correlation between VAS scores and chest tube removal time. Discharge time had a low positive and statistically significant correlation with age (p=0.027), and with the duration of the operation (p < 0.001). There was a low degree of negative statistically significant correlation between discharge day and BMI (p=0.017).

Conclusion: While the prolonged chest tube withdrawal time was directly related to the longer discharge time, the VAS scores have no significant correlation with the discharge time and the chest tube removal time. Additionally, age and operation time were also found to be associated with prolonged discharge time. Prospective comprehensive studies on this subject will be useful in clarifying the factors affecting the discharge time after thoracic surgery.