The Problem Solver: A Behavioral Intervention for Teaching Problem Solving to High-Functioning Students With Autism

Problem-solving is a skill of fundamental importance for populations with developmental delays, and especially for students with Autism Spectrum Disorder (ASD). Training students with ASD to solve ill-defined problems is a challenging objective for educational and therapeutic teams. This is due to the myriad of unpredictable situations presented during the school day and the various responses, socially appropriate or inappropriate, that may be emitted to solve one's problem. The purpose of this paper is to present a systematic clinical behavioral program named the Problem Solver (PS) specifically designed to teach problem-solving to high-functioning students with ASD. The authors detail the three stages of the PS program (i.e., determining a set of problems and solutions for each student, skill acquisition and practice, and implementation of whole-class token economy). The authors conclude with recommendations for successful implementation in school settings.

Proposition for LMS Integration for Share, Exchange, and Spread of Online Lectures under Covid-19 Environment

There has been a movement to share and spread online lectures through OCW and MOOC systems. This movement would have been spread widely and adopted widely if those courses could be easily exchangeable with other platforms or services. If this function is available, learning activities, resources, learning outcomes can be accessed between different platforms and services. With this function, the credit exchange between different platforms or services will be easier. It also facilitates course sharing and circulation. Because the LMS is the basic platform for online classes, providing sharable and reusable learning activities, resources, and learning outcomes across the different LMSs is very demanding for online education. Analyzing LMS use in Korean universities, Moodle, Canvas, and domestic LMSs are founded to be the significant three kinds that are widely used in Korea. In this paper, a method of integrating Moodle, Canvas, and domestic LMS services is proposed. A central Moodle server is installed as the main LMS server, and the method to connect or complement with a central Moodle server is proposed for each different kind of LMS. LMS users can easily access a different kind of LMS as a form of imported course, tightly connected service, or log in as SSO. This proposition can be applied to various service fields such as KMOOC, KOCW, credit exchange, lecture exchange between universities, regional unification of online educational centers as a practical problem-solver.

Real-time Trajectory Planning for Automated Vehicle Safety and Performance in Dynamic Environments

Safe trajectory planning for high-performance automated vehicles in an environment with both static and moving obstacles is a challenging problem. Part of the challenge is developing a formulation that can be solved in real-time while including the following set of specifications: minimum time-to-goal, a dynamic vehicle model, minimum control effort, both static and moving obstacle avoidance, simultaneous optimization of speed and steering, and a short execution horizon. This paper presents a nonlinear model predictive control-based trajectory planning formulation, tailored for a large, high-speed unmanned ground vehicle, that includes the above set of specifications. The ability to solve this formulation in real-time is evaluated using NLOptControl, an open-source, direct-collocation based, optimal control problem solver in conjunction with the KNITRO nonlinear programming problem solver. The formulation is tested with various sets of the specifications. A parametric study relating execution horizon and obstacle speed indicates that the moving obstacle avoidance specification is not needed for safety when the planner has a small execution horizon and the obstacles are moving slowly. However, a moving obstacle avoidance specification is needed when the obstacles are moving faster, and this specification improves the overall safety without, in most cases, increasing the solve-times. The results indicate that (i) safe trajectory planners for high-performance automated vehicles should include the entire set of specifications mentioned above, unless a static or low-speed environment permits a less comprehensive planner; and (ii) the resulting formulation can be solved in real-time.

Biomimicry Approach Adapted From The Fundamentals Of Design Development Process

Transport design inspiration form that requires the observation from the surrounding environment derived from the attribute and imitating inspiration between nature and transportation. The designer was inspired by the potential form obtained from the physically or philosophically aspect underneath nature's living organisms during the early phases of transport design development, particularly during the conceptual and proposal phases. As a result, researchers and designers began to aspire to nature as a problem solver in their conceptual design. This study aims to investigate natural characteristics that can be incorporated into transportation design projects through the design learning process, as well as obtaining an understanding of the users' perceptions of the suggested design. In this project, the learning process comprises of evaluating the design influence, system, and technology that emphasizes on the attributes of nature. As an outcome, a survey involving potential users was conducted by utilising questionnaires and distributed to the respondents. Finally, the findings demonstrated how nature may be used as a tool of research to break down barriers between natural science and engineering disciplines, notably in the domain of design. Furthermore, the responses revealed the respondents' views on the design as references in academic and industry practises.

Evaluasi kinerja staf UPT perpustakaan UNJA menggunakan analisis diskriminan

UPT Library UNJA is a Service Unit whose duties and functions are closely related to science, education, and development, especially in managing and providing various literacy, references, information, and documentation. The performance of its management staff strongly influences the management system of the UNJA Library UPT. Ideally, the performance measurement of UPT Library staff can refer to the applicable ISO standards. However, a more comprehensive performance evaluation based on the specifics and factors that affect the performance of UPT UNJA staff and the classification of staff performance evaluation is critical. UPT Library Staff Performance Evaluation based on ISO 11620: 2014 Document concludes that staff performance is good. On the other hand, the application of discriminant analysis of the performance of the Jambi University Library UPT staff analyzed 15 variables with Performance Quality as a variable consisting of two categories, namely Good and Very Good. The Stepwise Method in Discriminant Analysis reduces several independent variables so that the most significant variables in this analysis are the ability to make decisions (X6), Honesty (X8), Initiative in the line of Tasks (X9), and Skill Problem Solver (X11).

The maximal angle between 5×5 positive semidefinite and 5×5 nonnegative matrices

The paper is devoted to the study of the maximal angle between the $5\times 5$ semidefinite matrix cone and $5\times 5$ nonnegative matrix cone. A signomial geometric programming problem is formulated in the process to find the maximal angle. Instead of using an optimization problem solver to solve the problem numerically, the method of Lagrange Multipliers is used to solve the signomial geometric program, and therefore, to find the maximal angle between these two cones.

Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases

Using guideline-based clinical decision support systems (CDSSs) has improved clinical practice, especially during multidisciplinary tumour boards (MTBs) in cancer patient management. However, MTBs have been reported to be overcrowded, with limited time to discuss all cases. Complex breast cancer cases that need further MTB discussions should have priority in the organization of MTBs. In order to optimize MTB workflow, we attempted to predict complex cases defined as non-compliant cases despite the use of the decision support system OncoDoc. After previously obtaining insufficient performance with machine learning algorithms, we tested Multi Layer Perceptron for classification, compared various samplers to compensate data imbalance combined with cross- validation, and optimized all models with hyperparameter tuning and feature selection with no improvement and lacklustre results (F1-score: 31.4%).