bluuebunny/crossref_metadata_2025 huggingface dataset:
Depictions of Intimate Partner Violence
Authors: Thaller Jonel , Brown Megan Lindsay , Messing Jill Theresa
Published: March 2022

The music video for Eminem and Rihanna's hit single “Love the Way You Lie” (2010) reproduces commonly held myths about intimate partner violence (IPV), primarily that many women instigate their abuse or even enjoy it. Music video culture has been of concern to parents, researchers, and policymakers because youth are considered developmentally susceptible to gendered sexual scripts. However, some scholars suggest that audience members, rather than being passive consumers, are practical actors who filter information according to first- and secondhand experiences. This study examined how young adults' respond to the depiction of IPV in the music video for “Love the Way You Lie.” Findings indicated strong emotional response, a tendency to filter media through personal experiences, and a continuation of gendered blame. However, participants also demonstrated critical analysis. Thus, even when depictions are sensational or reinforce myth-based beliefs and gendered biases, young adults are capable of being critical consumers of popular culture.
The Effects of Multicultural Adolescents' Trauma and Hopelessness on Problem Behaviors in South Korea
Authors: Kim Kyungsook , Kim Min-Jung , Kim Minkyeong , Ju Sejin , Song Eun-Jee
Published: March 2022

The purpose of this article was to examine the effects of multicultural adolescents' trauma and hopelessness on problem behaviors. The research subjects consisted of 108 adolescents (boys = 54, girls = 54 from multicultural families. They were adolescents aged between 12 and 20. The measures of the current study include scales for assessing adolescents' trauma, hopelessness, and problem behaviors. The data was analyzed using Pearson correlations, SPSS 21.0 program and AMOS 18.0 Structural Equation Modeling (SEM). Results demonstrated that multicultural adolescents' trauma, hopelessness, and problem behaviors were significantly correlated. Also, trauma had an indirect effect through hopelessness, as well as a direct effect on problem behaviors of adolescents. The importance of adolescents' cognition was identified on problem behaviors.
Unveiling the Concepts of Sexual Abuse Among Boys
Authors: Ghosh Snigdha
Published: March 2022

The chapter focuses on the concepts of sexual abuse among boys, the vulnerability, consequences and aftereffect in their life, it also attempted to put light on the prevention and measures that can be adopted.
The Role of Non- and Quasi-Judicial Accountability Mechanisms in Addressing a Wide Range of Needs of Victims of Sexual Violence as a Weapon of War
Authors: Sikulibo Jean de Dieu
Published: March 2022

This chapter turns to the potential contribution of quasi- or non-judicial post-conflict justice processes in complementing international criminal justice for addressing the needs of victims of conflict-related sexual violence. Drawing on insights from the previous chapters, it first analyses how effective redress for victims of sexual violence in post-conflict settings should be conceived in light of the complexity of the victims' experiences and the legacy of these crimes in communities. The discussion emphasises the potential transformative effects of truth-seeking processes and other community-based transitional justice measures on the often challenging social dimension of sexual violence as a weapon of war. The author argues, however, that whilst it is necessary to integrate these crimes into domestic transitional justice processes, this should be done alongside embedding appropriate measures to facilitate the participation of victims without running the risk of being exposed to further harm.
New Processes to Treat Anode Slime and Other Smelter Improvements
Authors: Xie Xiang Tian , Zhou Song Lin
Published: March 2022

During efforts to solve common technical challenges to the comprehensive recovery of rare precious metals associated with copper smelting, Xiangguang Copper (XG) independently developed a new process to treat anode slime using technology that captures precious metal using bismuth. This paper focuses on the introduction and application of this technology for capturing precious metals with bismuth. It also discusses silver electrolysis at high current density and bismuth recovery from precious metals slag. The new process shows good adaptability of raw materials, elimination of lead pollution, low energy consumption, environmental protection and high comprehensive recovery rate of metals, which promotes the technological progress of comprehensive recovery and utilization of associated resources in copper smelting process.
Lower urinary tract symptoms and mental health during COVID-19 pandemic
Authors: Barone Biagio , De Luca Luigi , Napolitano Luigi , Reccia Pasquale , Crocetto Felice , Creta Massimiliano , Vitale Raffaele , Caputo Vincenzo Francesco , Martino Raffaele , Cirillo Luigi , Fusco Giovanni Maria , Trivellato Massimiliano , Celentano Giuseppe , La Rocca Roberto , Prezioso Domenico , Longo Nicola
Published: March 2022

Objective: Coronaviruses (CoVs) are a group of RNA viruses involved in several human diseases affecting respiratory, enteric, hepatic, and neurological systems. COVID-19 was identified in 2020 and was named SARS-CoV-2. To limit worldwide contagion, many countries instituted a lockdown, which conducted to disruption of routine life. In fact, pandemic was associated with several stresses among population, such as loss of employment, deaths of family members, friends, or colleagues, financial insecurity, and isolation. This led to long-lasting psychosocial effects as anxiety and depression, increasing the prevalence of stress and traumarelated disorders in the population. The aim of this study was to investigate the correlation between lower urinary tracts symptoms (LUTS) and stress/depressive symptoms during COVID-19 pandemic. Materials and methods: An anonymous cross-sectional webbased survey (comprehending anthropometric data, education level, occupation status, smoking and alcohol habits, current therapies, quarantine and COVID-19 infection status) was conducted from March to May 2020 in Italy. LUTS were examined through National Institute of Health-Chronic Prostatitis Symptom Index (NIH-CPSI) and Genitourinary Pain Index (GUPI). Hamilton Depression Rating Scale (HDRS) was utilized to evaluate depressive and anxiety symptoms. Non-parametric Kruskal-Wallis H Test was used for statistical analysis. Results: A total of 356 out of 461 subjects fully completed the survey, with a response rate of 77.2%. Data showed that subjects involved in economic difficulties, quarantine measures or with increased HDRS reported a significative statistic worsened urinary symptoms (H(3) = 11.731, p = 0.008), quality of life, (H(3) = 10.301, p = 0.016), total NIH-CPSI/GUPI score (H(3) = 42.150, p = 0.000), and quality of life (H(3) = 48.638, p = 0.000). Conclusions: COVID-19 pandemic provoked several alterations in everyday life. Although general lockdown, quarantine and social distancing have been necessary to prevent virus spreading, this had long term effects on all population in terms of mental and physical health. NIH-CPSI and GUPI scores increased linearly with stress and anxiety levels measured at HDRS, confirming worse LUTS in subjects who suffered anxiety and stress from COVID-19 pandemic.
Il progetto genoma e le conoscenze sui geni normali e patologici dell'uomo
Authors: Pascali Vincenzo L. , D'Aloja Ernesto
Published: March 2022

Lo sviluppo delle conoscenze sui geni normali e patologici dell'uomo ha avuto un fondamentale impulso dal coordinamento degli sforzi dei ricercatori di molti paesi nel Genome Project, promosso dalla Human Genome Organization (HUGO). Molti e ancora più radicali progressi si attendono nel prossimo futuro. Questo straordinario ampliamento di orizzonti suscita dibattiti etici e deontologici di diversa natura. Vengono accennati alcuni profili etici relativi alla brevettabilità di sequenze umane, la liceità del segreto e dello sfruttamento commerciale di studi tesi allo sviluppo e al progresso di conoscenze cruciali per la salute dell'uomo. Vengono trattati altri più tradizionali problemi etici inerenti la diagnosi e la prognosi di malattie genetiche; la archiviabilità e l'uso promiscuo di dati sui polimorfismi genetici derivanti da individui sani e malati; la conoscenza di predisposizioni a malattie causate da lavorazioni o di incompatibilità nei confronti di determinate occupazioni.
Sviluppo adolescenziale e comportamenti sessuali
Authors: Di Pietro Maria Luisa , Lucattini Adelia
Published: March 2022

Dall'analisi dei comportamenti sessuali degli adolescenti emerge l'esigenza di una loro educazione alla sessualità quale unica modalità per evitare i rischi che da tali comportamenti potrebbero derivare per l'individuo e per la società. Nel presente contributo, alla luce degli attuali orientamenti pedagogici, si tenta di individuare la strategia educativa più adeguata alle necessità e alle caratteristiche dello sviluppo psico-sessuale degli adolescenti, indicando nel contempo i requisiti che gli educatori (genitori e insegnanti) dovrebbero possedere per essere in grado di affrontare queste delicate problematiche.
Minimizing the Frequency Deviations in the Interconnected Microgrids considering Renewable Energy Sources
Authors: Singh Ranjit , Ramesh L.
Published: March 2022

Nowadays, the use of Microgrids is increasing due to their ample applications and advantages. Microgrids have much smaller financial commitments, and they use renewable resources; hence are more environmentally friendly with lower carbon footprints. Also, microgrids require fewer technical skills to operate, rely more on automation, and are isolated from grid disturbance or outage. Traditionally, microgrids have been employed in remote locations that cannot be connected to the central power grid and serve critical infrastructure. Due to the recent advancements in technology, microgrids have become more accessible and economically feasible. Microgrids can be employed in organizations that intend to lower their energy cost. The paper explains a detailed literature review and the contributions of the authors in Interconnected Microgrids. Also, the data taken from the survey was used in the transfer function blocks in simulation. The simulation of the interconnected microgrids comprising Thermal, solar, and wind turbine systems is formulated on MATLAB. The frequency error and ACE are reduced to zero in a quick time by using a fuzzy PID controller. Also, the paper aims at achieving one of the most important United Nations Sustainability Development Goals (UNSDGs), Affordable and Clean Energy (UNSDG- 7).
Cahn–Hilliard equations governed by weakly nonlocal conservation laws and weakly nonlocal particle interactions
Authors: Shomberg Joseph L. , Gal Ciprian G.
Published: March 2022

We consider a doubly nonlocal nonlinear parabolic equation which describes phase segregation
of a binary system subject to weak-to-weak interactions [Gal, Ann. Inst. H. Poincaré Anal.
Non Linéaire 35 (2018)]. The proposed model reduces to the classical Cahn–Hilliard equation under
certain conditions. We establish well-posedness results (based on regular and nonregular mild solutions) along with regularity and long-time results in terms of finite-dimensional attractors. Then we
also establish the convergence of (certain) mild solutions to single steady states as time goes to
infinity. These results are also supplemented by a handful of (two-dimensional) numerical experiments
displaying phase-segregation phenomena with interesting interface morphologies, depending
on various choices of the interaction kernels (i.e., Gaussian, logarithmic, Riesz and bimodal potentials).
We develop a stable numerical scheme which is able to control the computations under the
effect of the double nonlinear convolutions.
Группа Р. Томпсона $F$ и проблема аменабельности
Authors: Guba Victor Sergeevich
Published: March 2022

В центре внимания данной работы находится группа Ричарда Томпсона $F$, открытая в 60-х годах прошлого века. Ей посвящено большое число работ. Нас интересует в первую очередь знаменитая проблема аменабельности этой группы, поставленная Россом Гейганом в 1979 г. Предпринимались многочисленные попытки решить еe как в том, так и в другом направлении, но она остаeтся открытой.
В данном обзоре мы излагаем наиболее важные известные свойства этой группы, касающиеся проблемы слов, представления элементов группы кусочно линейными функциями, а также диаграммами и другими геометрическими объектами. Излагаются классические результаты М. Брина и К. Сквайера, касающиеся свободных подгрупп и тождеств. Мы включили изложение более современных важных результатов, относящихся к свойствам графов Кэли (конструкция Белка-Брауна), а также теорему Бартольди о свойствах уравнений в групповых кольцах. Отдельно рассматриваются критерии (не)аменабельности групп, полезные для работы по основной проблеме. В конце мы приводим ряд своих результатов о структуре графов Кэли и новом алгоритме решения проблемы слов.
Библиография: 69 названий.
Real-time Detection and Avoidance of Obstacles in the Path of Autonomous Vehicles Using Monocular RGB Camera
Authors: Mallik Apurbaa , Gaopande Meghana Laxmidhar , Singh Gurjeet , Ravindran Aniruddh , Iqbal Zafar , Chao Steven , Revalla Hitha , Nagasamy Vijay
Published: March 2022

In this paper, we present an end-to-end real-time detection and collision avoidance framework in an autonomous vehicle using a monocular RGB camera. The proposed system is able to run on embedded hardware in the vehicle to perform real-time detection of small objects. RetinaNet architecture with ResNet50 backbone is used to develop the object detection model using RGB images. A quantized version of the object detection inference model is implemented in the vehicle using NVIDIA Jetson AGX Xavier. A geometric method is used to estimate the distance to the detected object which is forwarded to a MicroAutoBox device that implements the control system of the vehicle and is responsible for maneuvering around the detected objects. The pipeline is implemented on a passenger vehicle and demonstrated in challenging conditions using different obstacles on a predefined set of waypoints. Our results show that the system is capable of detecting objects that appear in an image area as small as 20×30 pixels in a 1280×720 image and can run at a speed of 24 frames per second (FPS) on the embedded device in the vehicle. A data analyzer is also employed to visualize the real-time performance of the system.
At the Convergence of the Mobility Trends: Eco-Friendly Connected Automated Vehicles (CAV) and the Energy Efficiency of their Perception System
Authors: Gradu Mircea , Heeren David
Published: March 2022

Increasing financial commitment to accelerating and expanding electrified autonomous vehicle deployment promises vast societal and environmental benefits. The positive effects of these technological breakthroughs will be attained and maximized not only because of the improved energy conversion and optimized driving strategies of autonomous vehicles, but also through manufacturers’ intentional selection of energy efficient componentry. After reviewing the energy conversion advantages of electrified vehicles and the potential to optimize autonomous vehicle operation by optimizing their driving strategies in accordance with advanced driver assistance system performance, this paper highlights the broad implications of selecting energy efficient lidar sensors as the central components in autonomous vehicle perception stacks. Energy efficient components have significant impact on electrified autonomous vehicles’ overall range, energy consumption, and required service and maintenance infrastructure. In evaluating the relative efficiency of various lidar sensors, this paper proposes a new metric: the ratio of sensor performance specifications (field of view, range, resolution) compared to sensor characteristics that directly impact electrified autonomous vehicle efficiency (power consumption, weight, volume).
Quantum Explanations for Interference Effects in Engineering Decision Making
Authors: Pandey Vijitashwa , Basieva Irina
Published: March 2022

Engineering practice routinely involves decision making under uncertainty. Much of this decision making entails reconciling multiple pieces of information to form a suitable model of uncertainty. As more information is collected, one expectedly makes better and better decisions. However, conditional probability assessments made by human decision makers, as new information arrives does not always follow expected trends and instead exhibits inconsistencies. Understanding them is necessary for a better modeling of the cognitive processes taking place in their mind, whether it be the designer or the end-user. Doing so can result in better products and product features. Quantum probability has been used in the literature to explain many commonly observed deviations from the classical probability such as: question order effect, response replicability effect, Machina and Ellsberg paradoxes and the effect of positive and negative interference between events. In this work, we present results from a survey demonstrating responses that while difficult to explain using classical probability, can be explained using a quantum formulation - highlighting its potential in engineering applications. Since quantum formulism is more general and can also match the predictions of classical probability, it serves as a richer paradigm for modeling decision making behavior in engineering practice.
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Authors: AlRamadan Abdullah S. , Al Ibrahim Zahra , Mohan Balaji , Badra Jihad
Published: March 2022

The study showcases the strength of machine learning (ML) models in imitating the operation of an advanced engine concept - the gasoline compression ignition (GCI) - at low loads. The GCI engine is prone to exceeding the limits of criteria emissions at such loads, especially at the cold start when the catalyst is not activated. One proposition to accelerate catalyst light-off is using spark-ignition. This, however, adds an extra level of complexity in identifying an optimum operation point. The ML models can be a useful tool in guiding the engine calibration process. In this study, the ML models are trained on GCI engine experiments, covering different intake conditions, injection strategies, and spark settings. The models can predict seven engine performance parameters: fuel consumption, four engine-out emissions, exhaust temperature, and coefficient of variation (COV) in indicated mean effective pressure (IMEP). The study considered four architectures to train the dataset, namely linear regression, support vector machine (SVM), random forest and CatBoost regressor. CatBoost, which is a gradient boosting tree-based regressor, outperformed all of the considered models. The models were evaluated using the leave-one-out-cross-validation method to obtain the most representative results of the model’s accuracy. This paper shows that the seven models have successfully captured the complex relationship between the input calibration parameters and the seven desired outputs. The developed models have the potential to be utilized in optimizing GCI engine performance - especially at low loads where the engine has issues lighting off the catalyst. Coupling ML models with suitable optimization algorithms can pave the way to pinpoint the global optimum operation point in less time and with less cost than traditional calibration approaches.
A New Pathway for Prediction of Gasoline Sprays using Machine-Learning Algorithms
Authors: Hwang Joonsik , Lee Philku , Mun Sungkwang , Karathanassis Ioannis K. , Koukouvinis Foivos , Tagliante Fabien , Nguyen Tuan , Pickett Lyle
Published: March 2022

The fuel spray process is of utmost importance to internal combustion engine design as it dominates engine performance and emissions characteristics. While designers rely on computational fluid dynamics (CFD) modeling for understanding of the air-fuel mixing process, there are recognized shortcomings in current CFD spray predictions, particularly under super-critical or flash-boiling conditions. In contrast, time-resolved optical spray experiments have now produced datasets for the three-dimensional liquid distribution for a wide range of operating conditions and fuels. By utilizing such a large amount of detailed experimental data, the machine learning (ML) techniques have opened new pathways for the prediction of fuel sprays under various engine-like conditions. The ML approach for spray prediction is promising because (1) it does not require phenomenological spray models, (2) it can provide time-resolved spray data without time-stepping simulation, and (3) its evaluation has only a tiny fraction of the computational cost of a CFD simulation. In this study, an Artificial Neural Network (ANN) was applied for gasoline spray prediction under realistic engine conditions. Experimental data obtained under seven different fuels and three ambient conditions, totaling 21 different cases, were fed into a training procedure to investigate fuel effects on spray morphology. The quantitative validation results showed that the ANN is capable of predicting spray performance with nine input features, including fuel properties and ambient conditions. The ANN model fully trained on the experimental dataset showed greater accuracy in capturing the details of plume dynamics especially under flash-boiling conditions than the current state-of-the-art CFD model. While the ANN model cannot yet function or replace CFD in a full engine simulation, the ANN can be used now as a convenient design tool incorporating vast physical conditions.
Performance Optimization Using ANN-SA Approach for VVA System in Diesel Engine
Authors: Lou Diming , Tang Yuanzhi , Zhao Yinghua , Fang Liang , Tan Piqiang , Hu Zhiyuan , Han Jie , Song Xiaojun
Published: March 2022

Diesel engine is vital in the industry for its characteristics of low fuel consumption, high-torque, reliability, and durability. Existing diesel engine technology has reached the upper limit. It is difficult to break through the fuel consumption and emission of diesel engines. VVA (Variable Valve Actuation) is a new technology in the field of the diesel engines. In this paper, GT-Suite and ANN (artificial neural network) model are established based on engine experimental data and DoE simulation results. By inputting Intake Valve Opening crake angle (IVO), Intake Valve Angle Multiplier (IVAM) and Exhaust Valve Angle Multiplier (EVAM) into the ANN Model, and by using SA (simulated annealing algorithm), the optimized results of intake and exhaust valve lift under the target conditions are obtained. According to the optimized results, the fuel consumption of BSFC (brake specific fuel consumption) can be saved by 3.9%, 0.9%, and 7.3% at three different target working conditions, respectively (1000r/min with 50% load, 2000 r/min with 35% load, and 3000r/min with 20% load. Under the three conditions, the intake valve lifts are 1.10, 0.96, 1.10 times as the original respectively and the exhaust valve lifts are 0.98,0.94 and 1.10 times respectively. In addition, by adding the secondary opening strategy of the exhaust valve lift, internal exhaust gas recycling (IEGR) can be achieved. The exhaust gas temperature increased by 9.55% (66.64K) under low-speed working condition, and fuel consumption increased slightly by 6.15%, which is also important for exhaust thermal management and external emission control in the cold start phase of diesel engines. By changing the intake and exhaust valve control, there are obvious differences in the optimal valve lift under different working conditions. Therefore, the application of the VVA system in the diesel engine is of great significance.
Development of a Generalized Model to Predict Efficiency of Electrified Power Transmission Considering Optimal Driving Efficiency
Authors: Kim Dongwoo , Won Kwang Hyun , Son Woo Churl , Park Kijong
Published: March 2022

Over the last decade the electrified powertrain has been expanded due to strict fuel efficiency regulations, which leads to the development of various powertrain systems. It is recent trend to improve the overall system efficiency in which various power sources such as ICE and motor are combined with a simple gearbox. Accordingly, it is becoming indispensable to analyze the efficiency of the entire system from the initial stage of system development. In this study, a generalized numerical model is developed to predict the loss of gearbox under various power sources and power flows. This numerical model newly applied generalized equations for additional various power transmissions, including the previously verified power loss equation of gearbox components. In addition, for a reasonable and objective efficiency comparison between gearboxes, the optimal operating points are calculated in consideration of the overall powertrain system efficiency covering the total vehicle load. The average efficiency at the optimal operating points is introduced as the efficiency index of the gearbox. The developed model is employed to predict the efficiency of a HEV system and a EV system. The results are discussed from various perspectives.
Damage-Induced Dynamic Tooth Contact Forces in Spur Gears with Root Cracks
Authors: Cooley Christopher , Wang Yaosen , Hood Adrian
Published: March 2022

A finite element/contact mechanics formulation is used to analyze the dynamic tooth forces that arise from damage-induced vibrations in spur gear pairs. Tooth root crack damage of varying sizes are analyzed for a wide range of speeds that include resonant gear speeds. The added localized compliance from tooth root crack damage leads to a re-distribution of the forces on the individual gear teeth in mesh. At speeds away from resonance, smaller dynamic forces occur on the damaged tooth and larger dynamic forces occur on the tooth that engages immediately after it. These dynamic tooth contact forces cause additional transient dynamic response in the gear pair. For certain speeds and sufficiently large tooth root cracks, the damage-induced dynamic response causes large enough vibration that tooth contact loss nonlinearity occurs. For some speeds near resonance, the damage-induced vibrations cause teeth that normally lose contact to remain in contact due to vibration. Tooth contact loss nonlinearity in this cause briefly seizes but then occurs again after several mesh cycles when the damage-induced transients diminish. The features of the dynamic tooth loads shown in this work may be used in analyses that predict the propagation of damage, determine conditions that will likely cause healthy teeth to become damaged, and give insight into the fundamental mechanisms driving vibration in damaged geared systems.
Development of Biomechanical Computational Models of Six-Year-Old Child Occupant with Different Sitting Postures and Application in the Study of Whiplash Injuries
Authors: Li Haiyan , Wang Yanxin , He Lijuan , Lv Wenle , Cui Shihai , Ruan Jesse Shijie
Published: March 2022

With the development of intelligent cockpit, child occupants will engage in traffic operation in various sitting postures. Therefore, studying the mechanism and risk of whiplash injury of child occupants with different sitting postures has important application value for the research and development of child restraint system. In this study, the 120° and 135° sitting postures of six-year-old child occupant were developed based on the validated 105° sitting posture finite element model with detailed anatomical structure. The whiplash test in Euro NCAP was reconstructed to evaluate the influence of sitting posture angle on the risk of whiplash injury. In the three groups of simulation experiments, the Upper Neck Tension (Fz) was far less than the higher limit of Euro NCAP evaluation although the Fz value increased as the upper torso angle increases. However, the Upper Neck Shear (Fx) and Neck Injury Criterion (NIC) values from the 105° sitting posture exceeded the higher limit of Euro NCAP by 124% and 9%, respectively，increasing the risk of slight neck injury. Neck Protection Criteria (Nkm), NIC, cervical spine stress, and spinal cord stress from 120° sitting posture decreased by 23%, 42%, 56.9%, and 41.1%, respectively, compared with those parameters from the child standard sitting posture (105°). However, the Fx value from 120° sitting posture exceeded the higher limit by 101%; a slight risk of neck injury thus still exists. These assessment parameters from 135° sitting posture decreased by 60%, 50%, 77.6% and 43.6%, respectively, and the parameters were all lower than the higher limit of Euro NCAP. In addition, the maximum von Mises stress was mainly concentrated at the contact position between atlas and axial odontoid (105° and 120° postures) and the posterior arch of atlas with axial odontoid (135° postures). In conclusion, the risk of whiplash injury decreased with the increase of upper torso angle.
Road Adhesion Coefficient Identification Method Based on Vehicle Dynamics Model and Multi-Algorithm Fusion
Authors: Lu Xin , Shi Qi , Li Yan , Xu Ke , Tan Gangfeng
Published: March 2022

As an important input parameter of intelligent vehicle active safety technology, road adhesion coefficient is of great significance in autonomous collision avoidance, emergency braking and collision avoidance, and variable adhesion road motion control. Traditional recognition methods based on vehicle dynamics require large data volume and low solution accuracy. This paper proposes an adhesion coefficient recognition method based on Elman neural network and Kalman filter. By establishing a seven-degree-of-freedom vehicle dynamics model, dynamic parameters such as yaw angular velocity, longitudinal velocity, lateral velocity, and angular velocity of each wheel, which are easy to measure and strongly related to the road adhesion coefficient, are analyzed as the input of the neural network model. The square root cubature Kalman filter algorithm is used to remove the noise of the input of the neural network model, and Q-learning is used to strengthen learning, and the weight coefficient and bias coefficient of the model are continuously rewarded and punished, so that the predicted value does not exceed the normal range of values. The algorithm was pre-trained through CarSim/Simulink co-simulation, 9 sets of simulation conditions were established, and 4 sets of verification schemes were designed for identification and inspection. The average error of the simulation process is 4.93%, and the accuracy is 91.23%. Compared with the traditional Elman neural network, the average recognition error of this method is reduced by 2.23%, and the accuracy rate is increased by 9.83%. Real vehicle experiments were carried out on wet asphalt pavement and dry asphalt pavement, verifying the feasibility of the method. This paper proposes a road adhesion coefficient recognition method, which can improve the applicability of intelligent vehicle active safety systems to complex scenarios.
Ottoman-Turkish loanwords in Egyptian and Syro-Lebanese-Palestinian Arabic – Part 1
Authors: Rocchi Luciano
Published: March 2022

Although the earliest Turkisms that entered Arabic go back to the 9th century – when the Arabs began establishing regular contact with speakers of Turkic languages – a significant number of Turkish loans in both written and spoken Arabic only date from the time of the Ottoman Empire, which in the course of its expansion conquered and for centuries ruled a large part of the Arab world. This paper aims to examine the words of Turkish origin found in the dialects spoken in Egypt and parts of the Middle East (Syria, Lebanon, Palestine), i.e. the Arabophone regions that have been most exposed to Turkish influence for historical and cultural reasons. It has also been endeavoured to provide information about the etymology of the Ottoman-Turkish words (interestingly, as some of these come from Arabic, the Egyptian, Syrian, etc. words borrowed actually prove to be backborrowings).
The United Nations 30 Years After the Cold War: a Theoretical Analysis of Changes in the International Organization
Authors: Kuteynikov A. E.
Published: March 2022

This paper outlines the contours of a conceptual examination of the trends of UN change that have emerged in the post-bipolar era. The author seeks to understand what the results of the changes are and how they manifest themselves. Due to the complexity of the object under study, the duration of the analyzed period and its eventfulness, the paper takes into account only some typical fragments of the general picture, and some judgments and conclusions are expressed in a discussion manner. I analyze the following patterns of change have characterized the main UN bodies: new goals and activities of the bodies themselves and the organization as a whole, more topics under discussion, greater organizational autonomy, higher costs, greater involvement of civil society organizations and experts in agenda setting and various activities, structural reforms, summitization of the General Assembly and Security Council, the creation of high-level segments of ECOSOC, and strengthening of the coordinating role of the Committee of Senior Management. In methodological terms, the article is based on a multilevel model of an international organization developed in the framework of the sociological approach.
GIFTED SECONDARY SCHOOL STUDENTS’ PERCEPTIONS REGARDING THE CONCEPT OF GEOGRAPHY
Authors: ERGÜN Abdulkadir , ABLAK Selman , UZUN Adem
Published: March 2022

In the present study, it is tried to determine how gifted secondary school students perceive the concept of “geography”. For this purpose, the metaphors developed by the gifted students regarding the related concept and the data obtained from the pictures/cartoons they drew were examined. Qualitative research techniques such as data collection through metaphors and document analysis were used together in the research, which was carried out in the survey model in the qualitative research design. The study group consists of 106 female and 110 male, a total of 216 students from the 5th, 6th and 7th grades of secondary school studying at Sivas Science and Art Center in the 2021-2022 academic year. The study group was selected by the maximum variation sampling method. Content analysis was used to analyze the data obtained from the participants. According to the findings, a total of 119 metaphors were developed regarding the concept of “geography” as follow: 42 from 72 participants at the 5th grade level, 44 from 57 participants at the 6th grade level, and 33 from 41 participants at the 7th grade level. These metaphors developed by the participants for the related concept are grouped under fourteen conceptual categories. According to these categories, it is seen that the majority of the participants perceive geography as “informative, has diverse braches and inclusive”. It is recommended that studies be carried out to determine whether there are differences in perception between gifted students and other students by increasing the research on the perceptions of geography of students studying in other secondary schools apart from Science and Art Centers. Anahtar Kelimeler Geography, perception, gifted student
Wahltag
Authors: Knopp Anke
Published: March 2022

Demokratie lebt von Demokraten. Demokratie lebt von der Praxis. Wie sieht die aus, wenn sich eine unabhängige und parteilose Kandidatin in einen digitalen Wahlkampf um das höchste Amt in einer Stadt begibt, also Bürgermeisterin werden will? In einem neunmonatigen Wahlkampf tritt die Politikwissenschaftlerin an, graue Theorie in die Praxis umzusetzen. Sie nimmt den Leser mit auf und hinter die politische Bühne, beschreibt, was sie mit den lokalen Medien und im Gespräch mit den Bürgern auf der Straße erlebt hat. Ihr zentrales Thema ist der digitale Wandel in einer Stadtgesellschaft, der bereits heute alles auf den Kopf stellt. Kann man aber mit Digitalisierung Wahlen gewinnen? Die Antwort lautet: nicht gestern, nicht heute - morgen aber schon.
Geschichte kompetent unterrichten
Authors: Rauh Robert
Published: March 2022

Dieser Leitfaden orientiert sich konsequent an der Unterrichtspraxis. Er zeigt auf, wie Lehrende den Anforderungen der Kompetenzorientierung im Unterrichtsalltag gerecht werden können. Ausgehend von vier fachbezogenen Kern-Kompetenzen stellt der Band die zentralen Bereiche des Geschichtsunterrichts vor: historische Untersuchungsverfahren, didaktische Prinzipien, Unterrichtsplanung, Lehr- und Lern-Methoden, Urteilsbildung, Binnendifferenzierung, Leistungsbewertung, außerschulisches Lernen. Geboten werden zudem zahlreiche Übersichten und Unterrichtsbeispiele für beide Sekundarstufen. Der Leitfaden richtet sich an Lehramtsstudenten, Referendare, Berufsanfänger, Quereinsteiger, fachfremd Unterrichtende sowie erfahrene Lehrer, die vor der neuen Herausforderung der Kompetenzorientierung stehen.
Interaktive Trainingsmethoden 2
Authors: Thiagarajan Sivasailam , Gisevius Annette , van den Bergh Samuel , Kehrbaum Tom
Published: March 2022

Thiagis zweiter Band interaktiver Trainingsmethoden öffnet wieder einen großen Fundus an Übungen für berufliches, interkulturelles und politisches Lernen in Gruppen. Neu hinzugekommen sind die Themen „Innovation und Kreativität“ sowie „interaktives Online-Lernen“ und Methoden für die Zusammenarbeit in Großgruppen. Der Fokus richtet sich dabei besonders auf erfahrungsbasiertes Lernen und systematische Reflexion. Denn erst Reflexion und situative Einbettung macht die interaktive Übung zu einem wertvollen und hilfreichen Erlebnis. Die vorgestellten Methoden fördern Kooperationsfähigkeit und ein soziales Mit- und Füreinander. Sie eignen sich für Bildungsprozesse im Unternehmen, im Klassenzimmer oder im Seminar- und Tagungsraum. Der erste Teil des Bandes enthält Übungen und Aktivitäten, die nach Seminarphasen strukturiert sind: Einstieg, Wachrüttler, interaktive Themenbearbeitung, interaktives Geschichtenerzählen, interaktive Vorträge, Nachbesprechung, Reflexion und Seminarabschluss. Der zweite Teil ist nach Themen strukturiert. Hier bietet der Band Übungen für interkulturelles Lernen, zum Umgang mit Vielfalt, aber auch für interaktives Online-Lernen sowie Übungen für Großgruppen ab 50 Personen.
Handbuch interkulturelle Gruppenarbeit
Authors: Fischer Veronika , Kallinikidou Desbina , Stimm-Armingeon Birgit
Published: March 2022

Vor dem Hintergrund der politischen Diskussion um Migration konzentriert sich das Handbuch auf die pädagogischen Anforderungen, die sich für die Erwachsenenbildung durch den Umgang mit Menschen unterschiedlicher Herkunftskulturen ergeben. Die Dringlichkeit interkulturellen Lernens wird angesichts fremdenfeindlicher Stimmungen immer wichtiger, deshalb ist es ein Anliegen der Autorinnen, die praktische Umsetzung pädagogischer Konzepte vorzustellen. Schwerpunkte des Buches sind folgende Aspekte unter dem Blickwinkel inter- und multikultureller Erziehung: - Geschichte der Interkulturellen Pädagogik in der Erwachsenenbildung - Relevanz interkulturellen Lernens in Gruppen vor dem Hintergrund von Migration und multikultureller Gesellschaft - theoretische Grundlagen gruppenpädagogischer Arbeit - ein originelles didaktisches Konzept - verschiedene Modelle und Methoden zur Unterstützung interkultureller Lernprozesse in Gruppen. Um den Praxisbezug nachvollziehen zu können, werden dazu konkrete Übungsbeispiele und Anschauungsmaterial vorgestellt.
Sozialmarketing
Authors: Birzele Joachim , Thieme Lutz
Published: March 2022

Dieses Buch zeigt zwei Seiten einer Medaille: Ohne die Beachtung ökonomischer Prämissen können langfristig keine sozialen Güter und Dienstleistungen bereitgestellt werden – ohne den sozialen Kern dieser Güter kein gesellschaftlicher Nutzen. Basierend auf den Besonderheiten sozialer Güter kennzeichnen die Autoren die Besonderheiten des Sozialmarketings. Wer dieses Buch studiert, versteht, auf welche Analyseinstrumente strategisches Sozialmarketing zurückgreifen kann und welche Marketinginstrumente im operativen Bereich eingesetzt werden können.
Praxisberatung und Supervision in der Sozialen Arbeit
Authors: Hermann-Stietz Ina
Published: March 2022

In diesem Buch werden die theoretischen Grundlagen von Supervision als Methode zur Reflexion berufspraktischen Handelns vorgestellt. Die Bedeutung des Supervisors für die Gestaltung des Supervisionsprozesses findet dabei besondere Berücksichtigung. Darüber hinaus bietet der Band eine detaillierte Anleitung zur praktischen Durchführung kollegialer Supervision, einer Supervisionsvariante ohne ausgebildeten Supervisor. Die Autorin macht die Bedeutung von Supervision als Methode professioneller Praxisberatung in ihrer heute ausdifferenzierten Form für die Soziale Arbeit deutlich. Sie wendet sich mit ihrem Buch an Menschen in helfenden Berufen, an Studierende sowie Lehrende und stellt gut verständliche Arbeitsmaterialien zur Verfügung, die zur praktischen Anwendung von Supervision ermutigen sollen.
Vergangenheit "begreifen"
Authors: Heese Thorsten
Published: March 2022

Obgleich allgegenwärtig in Familie, Museum und Stadtbild, spielen historische Sachüberreste im Geschichtsunterricht bis heute nur eine untergeordnete Rolle. Zu Unrecht, denn der Umgang mit authentischen Zeugnissen der Vergangenheit birgt vielfältige Potenziale für das historische Lernen. Ihre haptischen und ästhetischen Qualitäten ermöglichen es, Geschichte im doppelten Sinn zu „begreifen“. Der vorliegende Band stellt die erste umfassende Monografie zum Thema dar. Auf Grundlage der lerntheoretischen Voraussetzungen wird eine Methodik zum Einsatz von gegenständlichen Quellen im Geschichtsunterricht entwickelt. Der vernachlässigten Quellengattung wird dabei in der Bildungsarbeit erstmals ein gleichberechtigter Rang neben der Text- und der Bildquelle einräumt. Zahlreiche Unterrichtsbeispiele veranschaulichen die Umsetzung in der Unterrichtspraxis. Der Band ergänzt das Verlagsangebot zur Interpretation von Text- und Bildquellen.
Gender im Geschichtsunterricht
Authors: Dehne Brigitte
Published: March 2022

Der Band erläutert die Kategorie „Gender“ für den Geschichtsunterricht und stellt entsprechende Unterrichtskonzepte vor. Sie ermöglichen einen Geschichtsunterricht, der Männer und Frauen in der Geschichte gleichzeitig wahrnimmt. Das Buch ermöglicht somit einen theoretisch fundierten und durch viele Praxisbeispiele angeregten Unterricht zum Thema Gender.
Der Nationalsozialismus
Authors: Lange Thomas , Steffens Gerd
Published: March 2022

Die Bedeutung des Nationalsozialismus für Auseinandersetzungen in der Gegenwart ist in den letzten Jahren entgegen allen Historisierungs-Erwartungen eher gestiegen. Zugleich hat die Forschung diese Zeit unter neuen Perspektiven und Fragestellungen in ihrer gesellschaftlichen Dimension besser erschlossen.
Der Band bietet Schlüsseltexte zur Politik-, Wirtschafts- und Sozialgeschichte des Nationalsozialismus ebenso wie zur Außen- und Rüstungspolitik. Zugleich hat der Band Lesebuchcharakter und ist daher für alle historisch Interessierten von Interesse.
Text Mining im Fach Geschichte in der Hochschullehre
Authors: Dröge Martin
Published: March 2022

In der digitalen Welt von heute entsteht eine permanente Flut von Daten. Historiker*innen werden sich damit in Zukunft immer intensiver auseinandersetzen müssen, um die darin enthaltenen Informationen als Quellen zur Erforschung der Vergangenheit nutzen zu können. Für die Geschichtswissenschaft werden methodische Kenntnisse der Digital Humanities daher immer relevanter. Von besonderem Interesse ist in diesem Zusammenhang das Text Mining, weil diese digitale Methode die explorative Analyse großer digitaler Textkorpora ermöglicht. Wie dieses methodische Verfahren im Geschichtsstudium vermittelt werden kann, ist Gegenstand des Bandes. Er ist ein erster Einstieg für ratsuchende und interessierte Historiker*innen und lädt zum Ausprobieren ein.
Wochenplan
Authors: Vaupel Dieter
Published: March 2022

Viele Schulen suchen nach Möglichkeiten zum Umgang mit heterogenen Lerngruppen und nach einer Praxis mit Differenzierung und Individualisierung. Dieter Vaupel zeigt auf, welche Potentiale dabei in der Arbeit mit Wochenplänen liegen. Wochenplanarbeit schreibt keinen verbindlichen Lernweg vor, sondern gibt Freiräume für selbstgesteuerte Lernprozesse. Das Buch wendet sich an Lehrkräfte, die Schülerinnen und Schüler auf ihrem Weg zu selbstständigen Lernern motivieren und begleiten wollen. Vaupel entfaltet ein Konzept, bei dem Wochenpläne zielgerichtet eingesetzt werden, um fachliche und überfachliche Kompetenzen systematisch bei Schülerinnen und Schülern zu entwickeln. Die Wochenplanvarianten werden praxisorientiert unter Berücksichtigung eines breiten Fächerspektrums vorgestellt.
Geschichte Sozialer Arbeit, Band 1
Authors: Kuhlmann Carola
Published: March 2022

In dem hier in dritter, überarbeiteter und erweiterter Fassung erscheinenden Lehrbuch gibt Carola Kuhlmann einen Überblick über sozialgeschichtliche Hintergründe, theoretische Diskurse und professionelle Entwicklungen von der Armenfürsorge über die Wohlfahrtspflege hin zur Sozialen Arbeit. Nach der Darstellung der Vorgeschichte (Mittelalter, Neuzeit) werden die Entstehung der „Sozialen Frage“ im 19. Jahrhundert, die daraus folgenden Reformen, die Institutionalisierung und Professionalisierung Sozialer Arbeit sowie das Konzept der „Volkspflege“ im Nationalsozialismus behandelt. Schließlich werden die Nachkriegszeit und die unterschiedliche Entwicklung in der jungen Bundesrepublik und der Deutschen Demokratischen Republik (DDR) ausgeführt. Es folgt die Phase der Politisierung und Demokratisierung in den 1970er Jahren einschließlich der demokratischen Reformen in den Praxisfeldern. Für Studierende der Sozialen Arbeit bietet das in diesem Lehrbuch vermittelte Wissen ein notwendiges Orientierungswissen für das weitere Studium und ihren späteren Beruf – ein Orientierungswissen, das auch für die Einordnung aktueller Diskurse unverzichtbar ist.
Emotionssensibler Politikunterricht
Authors: Petri Dr. Annette
Published: March 2022

Wie verhalten sich Emotionen gegenüber etablierten Selbstverständnissen, didaktischen Prinzipien, Zielen sowie lerntheoretischen Annahmen der politischen Bildung? Welche Chancen eröffnet, welche Herausforderungen stellt das Konzept eines emotionssensiblen Politikunterrichts an Theorie und Praxis politischer Bildung? Die Studie widmet sich einem aktuellen, jedoch von der Politikdidaktik bislang vernachlässigten Thema. Gefragt wird, wie sich Emotionen konzeptionell erschließen lassen, welche Bedeutung sie in der Politik spielen, wie sie von den Bezugswissenschaften der politischen Bildung rezipiert werden und welche Konsequenzen sich hieraus für Theorie und Praxis politischer Bildung ableiten lassen. Die Forschungsergebnisse führen schließlich zu der These, dass sich die politische Bildung gleichermaßen mit Emotionen beschäftigen darf, sollte und kann, ohne dabei Gefahr zu laufen, Irrationalitäten zu befördern. Unterlässt sie dies, bleibt die emotionale Komponente politischen Lernens und Lehrens weiterhin dem Zufall überlassen.
Historische Jubiläen und historisches Lernen
Authors: Drüding Markus
Published: March 2022

Historische Jubiläen prägen den öffentlichen Umgang mit Geschichte wie kaum eine andere geschichtskulturelle Erscheinung. Für das historische Lernen sind sie deshalb in vielfacher Hinsicht interessant: Sie sind Teil der Lebenswelt der Lernenden, geben Einblick in Kontroversität und Pluralität von Geschichte und verweisen auf die Emotionalität, die längst vergangene historische Ereignisse bei Menschen wecken. Der Band erschließt das Phänomen historische Jubiläen in der Theorie und bietet zahlreiche praktische Anwendungsbeispiele für den Geschichtsunterricht.