Cooperative Method Research Articles

THE USE OF BREAKOUT ROOMS DISCUSSION IN JIGSAW ONLINE LEARNING CLASS: DEVELOPING CREATIVITY AND INCREASING STUDENT ENGAGEMENT

This study investigates the use of breakout rooms discussion in jigsaw online learning class on developing creativity and increasing student engagement. The reason for establishing this study is how the Breakout Rooms meeting application is suitable for use for the application of the cooperative method learning. This study used a qualitative descriptive research method to collect data from a Likert scale questionnaire ranging from 1 (strongly disagree) to 5 (strongly agree). The research subjects were drawn from a group of college EFL students. This study shows that out of 15 EFL students, The results of participant’ Google forms perceptions about Jigsaw Strategy encourages work together became cooperative learning, showed the response rates of Strongly Agree (SA) 16%, Agree (A) 80%, Neutral (N) 16%, Disagree (D) 8%, and Strongly Disagree (SD) 0%. Meanwhile, the results about breakout rooms on zoom increasing potential of student to be effective as learning media rate of Strongly Agree (SA) 12%, Agree (A) 80%, Neutral (N) 8%, Disagree (D) 0% and Strongly Disagree (SD) 0%. Furthermore the results about students are motivated with Jigsaw Strategy Strongly Agree (SA) 4%, Agree (A) 88% & Neutral (N) 4%, Disagree (D) 4% as well as Strongly Disagree (SD) 0%.

Computational Methods in Cooperation with Experimental Approaches to Design Protein Tyrosine Phosphatase 1B Inhibitors in Type 2 Diabetes Drug Design: A Review of the Achievements of This Century.

Protein tyrosine phosphatase 1B (PTP1B) dephosphorylates phosphotyrosine residues and is an important regulator of several signaling pathways, such as insulin, leptin, and the ErbB signaling network, among others. Therefore, this enzyme is considered an attractive target to design new drugs against type 2 diabetes, obesity, and cancer. To date, a wide variety of PTP1B inhibitors that have been developed by experimental and computational approaches. In this review, we summarize the achievements with respect to PTP1B inhibitors discovered by applying computer-assisted drug design methodologies (virtual screening, molecular docking, pharmacophore modeling, and quantitative structure–activity relationships (QSAR)) as the principal strategy, in cooperation with experimental approaches, covering articles published from the beginning of the century until the time this review was submitted, with a focus on studies conducted with the aim of discovering new drugs against type 2 diabetes. This review encourages the use of computational techniques and includes helpful information that increases the knowledge generated to date about PTP1B inhibition, with a positive impact on the route toward obtaining a new drug against type 2 diabetes with PTP1B as a molecular target.

The Effectiveness of Cooper Method to Teach Reading Comprehension to the Seventh Grade Students of MTs Nurussalam Sidogede Belitang OKU Timur

The problem of this study is the effectiveness of cooper method to teach reading comprehension at the seventh grade students of MTs Nurussalam Sidogede Belitang OKU Timur. The objective of this study is to know whether or not the cooper method effective to teach reading comprehension. In this study, experimental method was used. The population was all of the seventh grade students. The total number of population was 70 students. The sample was 70 students taken through cluster random sampling, consisting of 35 students as the experimental group and 35 students as control group. The result of experimental group in the pre-test was 81.14. The highest score of the students was 90, the lowest score was 65, and while the median score was 80, and modus score was also 80. In the post-test control group, the mean score was 62.71. The highest score was 60, while the lowest was 55, and While the median score was 60, and modus score was 55. In fact, the students' scores in the post-test were better than those in the pre-test. The result of the matched t-test calculation was 10.77. It was higher than 1.697 (The critical value). It can be said that the alternative hypothesis (Ha) was accepted and the null: hypothesis (Ho) was rejected. It means that the teaching reading by using cooper method was effective at MTs Nurussalam Sidogede Belitang OKU Timur.

Effect of Cooperative Learning Strategy on Secondary School Students’ Achievement in Commerce in Enugu State, Nigeria

The study investigated the effect of Cooperative Learning Strategy on Secondary School Students Achievement in Commerce in Enugu State. The design adopted for the study was quasi experimental, precisely pretest, Posttest non-equivalent control/group. Two research questions and three null hypotheses guided the study. The population for the study consisted of 450 SSS one students who offered commerce in 2019/2020 academic year in Enugu State, Nigeria. The sample consisted of eighty students (40 males and 40 females) drawn from the target population using sample random sampling technique. The instrument used for data collection was Commerce Achievement Test (CAT). The instrument was face and content validated by three experts. The instrument was further tested on 20 Senior Secondary School one students similar to those used for the study in Ebonyi State. The researcher adopted the Kudar Richardson formula (K-R20) in determining the pre-CAT and post-CAST hence yielded reliability coefficient of 0.65. Mean and standard deviation was used in answering research questions. Hypotheses were tested using Analysis of covariance (ANCOVA) at 0.5 level of significance. The study revealed that: students taught commerce using cooperative method performed better than their counterparts using conventional method. It also revealed that male students achieved higher than their female when taught commerce using cooperative learning strategy. Based on the findings, it was recommended among others that government should make cooperative teaching strategy compulsory. Keywords: Commerce, Cooperative strategy, secondary School and achievement . DOI: 10.7176/EJBM/14-14-11 Publication date: July 31 st 2022

디지털 미디어 플랫폼의 미래 정책 방안 모색

The purpose of this paper is to suggest structural changes in a rapidly changing media market, digital media policy evaluation, political countermeasures. Based on an extensive literature review and cases, this submission outlines digital media ecosystem, platform, policy, and changes in the world’s media market. A study has found that media policies focus a discussion on two ways, a promotion and regulation. The effectiveness of deregulating domestic platforms and policies supporting ecosystem is being questioned due to the increase in the global platform dependency ratio. But the regulation policies can also lead to controversial aspects and problems. According to this, we need to look to ways of making a point and improving our plans on the digital media ecosystem. In brief, we need to establish a standard in digital media policies including the regulation of platform operators, and consider method of coexistence and co-operation.

Понятието надзор за законност в исторически аспект – от зараждането му до съвременното разбиране на това понятие

The purpose of this paper is to clarify the actual meaning of the concept of prosecutorial supervision, and thence the meaning of the concept of supervision of legality, through the prism of the development of the prosecutorial institution in Bulgaria after the Liberation. The need for this arose due to changes in the historical meaning and to the insufficient and, at times, not very correct clarification and understanding of the nature and purpose of the supervision of legality in terms of its effective practice and current content. It is not appropriate to ignore the fact that prosecutorial supervision before, as well as the supervision of legality both historically and at present, are methods for cooperation between the executive and the judiciary, which have always had a particularly important role. And they will continue to have this role through exact and lawful implementation from the perspective of their present understanding.

Теория и методология ценностно-ориентированного дизайна: критический анализ

The paper is devoted to Value Sensitive Design (VSD). This approach, widely presented in foreign scientific and specialized literature, has not been reflected in the Russian-language discourse. The authors of the study consider the theoretical foundations and methodological tools of VSD, clarify the conceptual apparatus, and also carry out a critical analysis of some of its main provisions (in particular, the question is raised about the absence of a philosophical theory of values, the eclecticism of the modern approach, insufficiently developed methods of cooperation with engineers, designers and potential stakeholders). VSD is viewed in the context of technology assessment and socially responsible innovation. We are talking about a diverse set of practices for the rational shaping of technologies, taking into account the values of society, suggesting a more active and conscious involvement of ordinary citizens (not experts) in the discussion of issues related to the development and design of technologies. An understanding of values with an emphasis on ethics and morality raises the question of achieving a balance between competing values and choosing the desired values, taking into account the diversity of interests of direct and indirect stakeholders. In this regard, two main goals of the VSD stand out. On the one hand, it involves identifying and critically analyzing desirable or limiting values that have been (intentionally or unintentionally) inscribed into existing technologies. On the other hand, VSD offers practical recommendations on how to deliberately and purposefully inscribe socially approved values into the design of new equipment, software, databases, and algorithms. Finally, the article defines the directions of possible applied research: (a) the development of the theory and methodology of change management through structuring the change management process according to the hierarchical principle of interaction, as well as identifying persons and groups that are affected by organizational changes and how; (b) fundamental aspects of human-machine interaction, in particular, human-robot interaction (HRI), which is of great practical importance for the design and production of socially responsible service robotics.

Innovation Of Amaly Interpretation Learning At Primaganda Senior High School Jombang

This study aims to describe the learning innovation of Tafsir Amaly at SMA Primaganda Jombang. Tafsir Amaly is a local content subject that is included in the Primaganda High School curriculum. Tafsir Amaly is a Sufism-based interpretation developed by Thoriqoh Syadziliyah Al Mas'udiyah Jombang. This type of research uses a qualitative approach. Data collection methods: observation, interviews, and documentation. Technical analysis includes data reduction, data presentation, and concluding. To check the validity of the data, research extension, observation persistence, and triangulation were used. The results showed that the innovation of the implementation of Amaly's Tafsir includes the application of a combination of student-centered and conventional methods in the form of jigsaw cooperative methods, drills, discussions, questions and answers, peer tutorials, exemplary affective methods, and so on supported by the book Tafsir Amaly juz 1 and Quran song as a compliment. Then the teaching aids use qurany 1-5 if needed according to the learning theme of Amaly's Tafsir, Then the learning media can be supported by other means, for example, audio speakers, and so on.

A resilient bi‐level control strategy for power sharing and voltage balancing in bipolar DC microgrids

In the three-level DC-DC converter-based bipolar DC microgrids, accurate power sharing among distributed generators and voltage balancing between the positive and negative poles are two main control objectives. This article presents a resilient bi-level control strategy which simultaneously satisfies both aforementioned objectives. The proposed control structure is a combination of a distributed consensus-based cooperative method and a washout filter-based method. In the first level, a distributed consensus-based cooperative control method with considering time delays and communication noises is developed to realize proportional power sharing. At this level, DGs operate collaboratively using only neighbour-to-neighbour feedback over a sparse communication network, even if the communication network is susceptible to additive noise and time delay. In the second level, a decentralized control method is employed to restore the voltage of each pole of a bipolar DC microgrid to the desired value. The second level, which works without any communication links and additional control loops, utilizes a dynamic feedback incorporating washout filters. The whole proposed control strategy is robust against a single point of link-failure and resilient against the communication time delays and noises as well. Comprehensive simulation studies are carried out in PLECS software to verify the effectiveness of the proposed control scheme.

Cognitive regulation of independent knowledge management in the training of the educational psychologist

The article presents the results of the research in which a didactic model for the independent management of knowledge with a professional approach is elaborated as a theoretical contribution. The didactic model contains the representation of the essential characteristics of the process aimed at activating learning towards independent knowledge management, with a dynamic character, based on dialectic relations of coordination and subordination among the subsystems and components that integrate it. It has a systemic nature that integrates the subsystems: Procedural cognitive conditioning, Cognitive logical reconstruction, and Cognitive regulation, from whose relations, dynamized by the research method of reflexive cooperation, and the resulting quality is the professional relevance of this process. In the logic followed for its elaboration, the relationship between the components of the teaching-learning process (objective, content, form, method, evaluation) is systematized in the first place, as an expression of its dynamics; in addition to the unity of the instructive, educational, developmental; the theory-practice link, the unity of the cognitive and affective, as well as the requirements for a developmental teaching-learning process.

Work-Related Driving of Heavy Goods Vehicles: Factors That Influence Road Safety and the Development of a Framework for Safety Training

Road traffic accidents are a major health concern all over the world. Each year, 1.3 million people die in fatal road traffic accidents. Fatal and serious heavy goods vehicle (HGV) crashes are over-represented in many countries. This paper is a contribution to the road safety literature and has two aims. First, the study seeks to identify important factors in managing road safety for work-related driving of HGVs. Second, the study proposes an overall framework for how safety training could be executed and its overall content. Methods used were a literature review and a case study. The results show that important factors for management of road safety could be arranged at different levels: governmental level, third-party level, organizational level and driver level. Most important is that a systematic approach to road traffic safety for HGVs is essential. Every party is jointly responsible for road traffic safety, and parties must communicate and work together to increase road traffic safety for work-related driving of HGVs. By developing a safety training program for all parties in the system, the study proposes a method for increased communication, collaboration and cooperation between parties.

ZAKAT; MUTUAL COOPERATION IN ALLEVIATING POVERTY

Accumulation of wealth in a group of individuals has no benefit in the view of Islam. This only creates social jealousy and a deep gulf between the rich and the poor. Social jealousy in the end brings a lot of harm to the people. Islam has the concept of mutual cooperation in distributing wealth, so that there is economic equity. Zakat is a method of mutual cooperation in Islam to alleviate poverty. Maximizing zakat is proven to be able to help move the economy, as this tradition has been applied since the time of the Prophet and the Companions. The management of zakat that has not been maximized is a challenge for eradicating poverty at this time, even though the potential for zakat in Indonesia is very large. Not to mention the reluctance of the community to pay zakat to existing institutions, is a challenge in itself. This study uses a qualitative method by using a literature study as the source of the study. This research results that to encourage the maximization of zakat funds in Indonesia, it is necessary to improve the quality of services and education to the community so that there is a change in the perspective and public trust in existing zakat institutions

Multi-Lane Unsignalized Intersection Cooperation With Flexible Lane Direction Based on Multi-Vehicle Formation Control

Unsignalized intersection cooperation of connected and automated vehicles (CAVs) is able to eliminate green time loss of signalized intersections and improve traffic efficiency. Most of the existing research on unsignalized intersection cooperation considers fixed lane direction, where only specific turning behavior of vehicles is allowed on each lane. Given that traffic volume and the proportion of vehicles with different turning expectation may change with time, fixed lane direction may lead to inefficiency at intersections. This paper proposes a multi-lane unsignalized intersection cooperation method that considers flexible lane direction. The two-dimensional distribution of vehicles is calculated and vehicles that are not in conflict are scheduled to pass the intersection simultaneously. The formation reconfiguration method is utilized to achieve collision-free longitudinal and lateral position adjustment of vehicles. Simulations are conducted at different input traffic volumes and turning proportion of incoming vehicles, and the results indicate that our method outperformances the fixed-lane-direction unsignalized cooperation method and the signalized method.

공동체 의식, 자아정체성을 위한 인성교육 실천의 장(場)

The spread of COVID-19, a new infectious disease with strong contagious and contagious power, which occurred in a defenseless state without a cure or vaccine at the end of December 2019, drove the world into anxiety and fear. The WHO(World Health Organization) has officially declared COVID-19 a pandemic. In order to reduce the spread of the virus and the risk of group infection, the Korean government had implemented various quarantine policies such as mask recommendations, high-intensity social distancing, group restrictions, diagnostic tests for symptomatic patients, and self-isolation. However, there were difficulties in quarantine activities due to people who did not recognize the seriousness of the infection and acted self-centered. These behaviors can be said to be related to personality. Humanity means the right mind, which is the character of a human being, and the right mind can be cultivated through character education. Ultimately, through character education, one can break free from self-centeredness and form a sense of community with others. In this study, as a new personality education method, a venue for the establishment of self-identity and community consciousness was proposed for college students. Establishing a self-identity is very important for the formation of a holistic personality because it is to maintain self-consciousness and meaning consistently. In addition, I think that the establishment of self-identity will affect the cultivation of a sense of community to live well with others. Therefore, in this study, we tried to propose a method to cultivate self-identity and sense of community by using cooperative learning teaching method.

Mission Chain Driven Unmanned Aerial Vehicle Swarms Cooperation for the Search and Rescue of Outdoor Injured Human Targets

A novel cooperative strategy for distributed unmanned aerial vehicle (UAV) swarms with different functions, namely the mission chain-driven unmanned aerial vehicle swarms cooperation method, is proposed to allow the fast search and timely rescue of injured human targets in a wide-area outdoor environment. First, a UAV-camera unit is exploited to detect the suspected human target combined with improved deep learning technology. Then, the target location information is transferred to a self-organizing network. Then, the special bio-radar-UAV unit was released to recheck the survivals through a respiratory characteristic detection algorithm. Finally, driven by the location and vital sign status of the injured, a nearby emergency-UAV unit will perform corresponding medical emergency missions, such as dropping emergency supplies. Experimental results show that this strategy can identify the human targets autonomously from the outdoor environment effectively, and the target detection, target sensing, and medical emergency mission chain is completed successfully relying on the cooperative working mode, which is meaningful for the future search-rescue mission of outdoor injured human targets.

Studying the essence and specifics of franchising managerial functions, identifying its tasks and substantiating its role in protecting and strengthening the enterprise’s brand

Businesses are looking for different methods of cooperation, ways of doing business, and forms of business models. Small or medium-sized businesses that do not have a steady large income are able to join as a franchisee in fulfilling certain obligations under the franchise agreement concluded with a large enterprise, i.e., the franchisor. Provided that the franchisor in the enterprise development strategy identifies a new direction, namely, protecting and strengthening the enterprise brand, and begins its implementation, it checks the relationship of this direction in the development strategy with the main actors, market factors, and development dynamics of the product or service life cycle. It also evaluates the connection of the direction of protecting and strengthening the brand with other directions of its strategy, the compliance of the management qualification with the requirements of new goals and objectives, and the validity of the expected indicators of implementing the new direction of the strategy. Besides, it justifies a possible positive result to the risks of losses from failure to implement the strategy, and negative risks. In case of unsatisfactory results, the management functions are adjusted to comply with the algorithm for implementing such a way of doing business as franchising. It will allow the franchisor to extend the life cycle of the enterprise and work effectively under a harsh market economy and unstable environment. The franchise agreement establishes clearly determined relations between the franchisor and the franchisee, giving the latter certain rights, functions, responsibilities and obligations, and setting goals, defining the work conditions over time including rights and restrictions on the use of the franchisor’s brand, trademark, rights in the territory and market segments, regulations, rights to production, sales, property, intellectual property rights. Having studied the essence of franchising and the specifics of its management functions, we can conclude that the franchisor and the franchisee receive certain profits and benefits under the franchise agreement. Franchising helps a large enterprise to expand markets, which act as a set of all objects with which the enterprise has a partnership and can improve its activities through the implementation of the appropriate policies avoiding high commercial risk.

Merging Sequence Optimization Based on Reverse Auction Theory and Merging Strategy with Active Trajectory Adjustment of Heterogeneous Vehicles

This paper investigates the optimized merging sequence (MS) and on-ramp merging strategy in mixed traffic with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). To this end, a cooperative merging sequence optimization method is first proposed based on the reverse auction. In the method, a hybrid optimized computing structure is proposed to provide the foundation for connected and human-driving vehicles (CHVs) and connected and automated vehicles (CAVs) to obtain the MS more efficiently. And a cooperative merging strategy based on all cooperative merging vehicles under mixed traffic conditions is proposed. In particular, the downstream vehicles in the strategy can change their original velocities to actively participate in the cooperative merging process according to the merging requirements of on-ramp vehicles. And the vehicles in this strategy are all subject to state constraints to avoid the adverse effects of cooperative merging behavior on the following traffic on the main road. Results of numerical experiments illustrate that the merging sequence optimization method can reduce the time to obtain the optimal MS, and the increased computational efficiency is affected by CAV penetration. In addition, in mixed traffic conditions, the cooperative merging strategy can reduce fuel consumption and the time required for merging.

Evolving Deep Neural Networks with Cultural Algorithms for Real-Time Industrial Applications

The goal of this paper is to investigate the applicability of evolutionary algorithms to the design of real-time industrial controllers. Present-day “deep learning” (DL) is firmly established as a useful tool for addressing many practical problems. This has spurred the development of neural architecture search (NAS) methods in order to automate the model search activity. CATNeuro is a NAS algorithm based on the graph evolution concept devised by Neuroevolution of Augmenting Topologies (NEAT) but propelled by cultural algorithm (CA) as the evolutionary driver. The CA is a network-based, stochastic optimization framework inspired by problem solving in human cultures. Knowledge distribution (KD) across the network of graph models is a key to problem solving success in CAT systems. Two alternative mechanisms for KD across the network are employed. One supports cooperation (CATNeuro) in the network and the other competition (WM). To test the viability of each configuration prior to use in the industrial setting, they were applied to the design of a real-time controller for a two-dimensional fighting game. While both were able to beat the AI program that came with the fighting game, the cooperative method performed statistically better. As a result, it was used to track the motion of a trailer (in lateral and vertical directions) using a camera mounted on the tractor vehicle towing the trailer. In this second real-time application (trailer motion), the CATNeuro configuration was compared to the original NEAT (elitist) method of evolution. CATNeuro is found to perform statistically better than NEAT in many aspects of the design including model training loss, model parameter size, and overall model structure consistency. In both scenarios, the performance improvements were attributed to the increased model diversity due to the interaction of CA knowledge sources both cooperatively and competitively.

Cooperative multinetworks semi-supervised pre-stack seismic inversion

SUMMARY The elastic properties of the subsurface, such as density, P-velocity and S-velocity, can be estimated in pre-stack seismic inversion. In recent research, the deep neural network is widely used in pre-stack seismic inversion for its strong non-linear fitting and feature extraction ability. However, the label data is generally inadequate due to high drilling costs and strong data-sharing barriers in the field of exploration geophysics. In order to reduce the dependence of network performance on label data and ensure the accuracy of inversion mostly, semi-supervised learning is adopted. Here, we develop a cooperative multinetworks semi-supervised pre-stack seismic inversion method. In the cooperative multinetworks inversion framework, the inversion network, mapping network, and modification network are adopted to complete the inversion task cooperatively. A forward network is constructed to automatically generate seismic data from density, P-velocity and S-velocity, which can assist the above networks to complete semi-supervised learning. Compared with some published deep learning pre-stack inversion methods, the spatio-temporal correlation of data can be fully mined, the prior geological structure and low-frequency information can be utilized effectively, and reflectivity is adopted as an intermediate output parameter to improve the robustness of the method. The experiments on the Marmousi2 model demonstrate that cooperative multinetworks semi-supervised inversion strategy is superior to conventional semi-supervised inversion methods in both inversion accuracy and antinoise performance. In addition, the susceptibility experiments of the initial model indicate that the proposed method can maintain a high inversion accuracy with little effective information in the initial model. Finally, the proposed method is successfully applied to the field data and obtains a high-resolution inversion result.

A method of brain computer cooperative navigation combined with simultaneous localization and mapping

Introducing human brain intelligence into robot system is an effective means to improve robot's cognition and decision-making ability. Aiming at the problems of human brain fatigue and the need of multi lead information in brain robot control, a brain computer cooperative navigation method combining synchronous localization and mapping (SLAM) is proposed in this paper. Through the steady-state visual evoked potential based on three leads, the image of the target area of interest of human brain is selected, and the brain computer cooperative navigation task is completed by combining SLAM and artificial potential field. The test results show that the average accuracy of the target area image selection method based on steady-state visual evoked potential is 94.17%, which proves that the three leads are effective. On this basis, the brain computer cooperative navigation method combined with SLAM is tested. The results show that the completion rate of navigation task is as high as 92.5%. This method alleviates the fatigue of human brain and reduces the hardware requirements of EEG acquisition.