Table Tennis classes at Junior High Schools utilizing the TPACK-Based Problem-Based Learning Model

The purpose of the study. Through the application of the TPACK - based PBL model , it can improve learning outcomes in the aspect of table tennis service material skills for junior high school students. Materials and methods. The method used is the Action Research Class method with two cycles, each cycle through the stages of planning, action, observation and reflection. The research subjects were 25 students. The data of this research is the result of learning table tennis service and analyzed by using the percentage technique of Sugiyono's theory. Results. Student learning outcomes in the aspect of skills have increased from cycle one to cycle two. aspects of service learning outcomes at the implementation stage the percentage obtained in the first cycle was only 74.3%, an increase in the second cycle to 97.7%. Likewise, at the final stage of cycle one, it was only 35%. students who complete have increased in the second cycle to 81%. Conclusions. The TPACK-based learning problem model makes learning more meaningful and the learning outcomes of Junior High School students experience classical mastery.

Adaptive Population NSGA-III with Dual Control Strategy for Flexible Job Shop Scheduling Problem with the Consideration of Energy Consumption and Weight

The flexible job shop scheduling problem has always been the focus of research in the manufacturing field. However, most of the previous studies focused more on efficiency and ignored energy consumption. Energy, especially non-renewable energy, is an essential factor affecting the sustainable development of a country. To this end, this paper designs a flexible job shop scheduling problem model with energy consideration more in line with the production field. Except for the processing stage, the energy consumption of the transport, set up, unload, and idle stage are also included in our model. The weight property of jobs is also considered in our model. The heavier the job, the more energy it consumes during the transport, set up, and unload stage. Meanwhile, this paper invents an adaptive population non-dominated sorting genetic algorithm III (APNSGA-III) that combines the dual control strategy with the non-dominated sorting genetic algorithm III (NSGA-III) to solve our flexible job shop scheduling problem model. Four flexible job shop scheduling problem instances are formulated to examine the performance of our algorithm. The results achieved by the APNSGA-III method are compared with five classic multi-objective optimization algorithms. The results show that our proposed algorithm is efficient and powerful when dealing with the multi-objective flexible job shop scheduling problem model that includes energy consumption.

Usefulness of the AUDIT tool in assessing alcohol consumption patterns of drivers who have lost their driving license

Alcohol consumption by drivers has a negative impact on the driving behaviour and the risk of an accident. The objective of the work the usefulness of the AUDIT tool in relation to alcohol consumption patterns of people who lost their driving license for drunk driving. The study used a 10-item AUDIT questionnaire, which included 196 people aged 19 to 71 years. The experimental group (Group 1) consisted of people who lost their driving license "after drinking", and the control group (Group 2) consisted of people who drive motor vehicles at work. It has been shown that the majority of people who had their authorization to drive a car revoked, faced difficulties in controlling their alcohol consumption. There were no statistically significant differences in the results of the AUDIT questionnaire, taking into account the group and gender criteria. The surveyed drivers most often revealed a low and moderate pattern of alcohol consumption. People who drink, in the problem model (risky) significantly more often lost their driving license than people in the control group.

Location-inventory-routing model with considering urban road networks

Purpose: To develop LIRP (location-inventory-routing problem) model with considering multiple links and solve it using method of heuristic based on algorithm of simulated annealing. Method of heuristic for the LIRP model is applied in city of Jakarta to improve effectiveness and efficiency of the food supply chain.Design/methodology/approach: The LIRP model is developed using main references. To solve the model, this paper develops two methods, namely method of optimal and method of heuristic. Computational experiments are performed to obtain the efficiency of the method of heuristic. New design of food supply chain is resulted from the application of the method of heuristic in city of Jakarta.Findings: The new design of food supply chain resulted from the application of LIRP model in city of Jakarta reduces total cost by 18%, increases availability from 76% to 95%, and reduces the number of vehicles by 73%. This paper also shows that distance is not the only consideration to decide the traversed links in cities.Research limitations/implications: Average gap between method of heuristic and method of optimal in terms of total cost is 3.1%.Practical implications: Government of city of Jakarta can improve effectiveness and efficiency of the food supply chain by implementing the LIRP model.Social implications: Citizens of Jakarta are well provided with their needs of vegetables and fruits.Originality/value: The first LIRP model that considers multiple links to represent road networks in cities. The LIRP model developed in this paper consists of probabilistic demands, multi products, and multi echelons. Traditional markets, UCCs (urban consolidation centers) and province of suppliers are the places where decisions of inventory made.

Direct Rating Estimation of Enlarged Perivascular Spaces (EPVS) in Brain MRI Using Deep Neural Network

In this article, we propose a deep-learning-based estimation model for rating enlarged perivascular spaces (EPVS) in the brain’s basal ganglia region using T2-weighted magnetic resonance imaging (MRI) images. The proposed method estimates the EPVS rating directly from the T2-weighted MRI without using either the detection or the segmentation of EVPS. The model uses the cropped basal ganglia region on the T2-weighted MRI. We formulated the rating of EPVS as a multi-class classification problem. Model performance was evaluated using 96 subjects’ T2-weighted MRI data that were collected from two hospitals. The results show that the proposed method can automatically rate EPVS—demonstrating great potential to be used as a risk indicator of dementia to aid early diagnosis.

Optimization and Simulation of Literature Aided Reading System Based on Wireless Sensor Network

This paper designs and implements an intelligent online reading platform based on wireless sensor network. The platform adopts SSM framework based on Spring architecture as the cornerstone and is oriented to ordinary users and teachers and students. Ordinary users can carry out normal online reading on the platform, and teachers and students can carry out auxiliary reading teaching on the platform. The online reading platform is an interactive reading platform system integrating online reading, EPub resource generation and management, and user reading data statistics. The whole platform is composed of registration and login module, online reading module, EPub e-book generation module, and reading data report module. Spring, Spring MVC, and Mybatis framework are used to achieve hierarchical solution and improve development efficiency. For the problems that may occur in the process of EPub generation, an intelligent EPub generation mechanism is designed and implemented to achieve intelligent error correction and improve the stability of EPub generation. Platform design and implementation of a reading data report generation system can be in the background of the report generation and download. In addition, the random extraction problem in platform business is also analyzed, the problem model is established, and the database random extraction scheme commonly used in the industry is studied. The application of wireless sensor for reading aid is less and mostly stays in theory. Based on the traditional intelligent clustering system, the system is designed to improve the system scalability and provide a feasible literature assisted reading scheme while ensuring the accuracy and efficiency of the system.

Unveil Problem Based Learning on Physics Learning: A Literature Review

Scientific literacy is one of the benchmarks for the ability of words in the divinity of daily life. This study is about problem-based learning (PBL) on learning physics from aspects of the word, not, and its implementation. The writing of this article uses literature reviews. First of all, the study problem is formulated, then while it is being experienced by existing and relevant researchers to be analyzed. Data collection techniques with electronic journals through google scholar, Scopus, Microsoft academies, Harzing’s Publish or Parish, and crossref. From the results of 20 articles from journals and 3 e-books. Based on the results of the analysis concluded that the Problem Based Learning model is a skill skill, thinking analysis skills, and scientific attitudes. The results of the journal synthesis show that there have been no research results linking the learning-based problem model to the variety of science literacy skills. This becomes a loophole and basis for advanced research and development of e-Module-based learning problems. The thing behind the varied skills of science skills is one of the problems one sign of learning there is a problem, student-centered learning, and learning in a small group.

Compositional Programming

Modularity is a key concern in programming. However, programming languages remain limited in terms of modularity and extensibility. Small canonical problems, such as the Expression Problem (EP), illustrate some of the basic issues: the dilemma between choosing one kind of extensibility over another one in most programming languages. Other problems, such as how to express dependencies in a modular way, add up to the basic issues and remain a significant challenge. This article presents a new statically typed modular programming style called Compositional Programming . In Compositional Programming, there is no EP: It is easy to get extensibility in multiple dimensions (i.e., it is easy to add new variants as well as new operations). Compositional Programming offers an alternative way to model data structures that differs from both algebraic datatypes in functional programming and conventional OOP class hierarchies. We introduce four key concepts for Compositional Programming: compositional interfaces , compositional traits , method patterns , and nested trait composition . Altogether, these concepts allow us to naturally solve challenges such as the Expression Problem, model attribute-grammar-like programs, and generally deal with modular programs with complex dependencies . We present a language design, called CP , which is proved to be type-safe, together with several examples and three case studies.