Human Leaders and Artificial Intelligent Leaders

The chapter deals with the relationship between human leader and artificial leader. Organizations are encroached by artificial intelligent in almost all the areas of the organization such as retail industry, banking industry, call centers, manufacturing industry. The chapter shows the path how human leader sharing workplace space with the artificial leaders and make them as their workplace spouses for the better functioning of the organizations and the economy. The limitation of the research is implementation of AI in organizations will generate social problems such as unemployment, theft, etc. The future scope of the research is to analyze the working of artificial leaders in the academic industry.

Pengembangan Bahan Ajar Bahasa Inggris Berbasis Analisis Kebutuhan Dunia Kerja

Time development will affect the changing needs of graduates. Using teaching materials as one of the factors supporting the learning process is an absolute thing to do so that learning becomes directed. Therefore, it is necessary to conduct this research to prepare highly competitive human resources. This research is a development that aims to produce materials oriented towards analyzing the needs of graduate users. The ADDIE method includes analysis, design, development, implementation, and evaluation. It was chosen as the basis for developing teaching materials for STMIK STIKOM Indonesia students on Information Technology. The analysis stage is the stage carried out to describe what the learner will learn. Next is the design stage. The purpose of learning, strategies, learning resources, tests are designed. It becomes a supporting factor for the learning process. Development is the next stage where the process of making materials is carried out according to a predetermined design. The next stage is implementation. Submission of material by the results of the development is carried out at this stage. The last stage is the evaluation stage. The revision process is carried out at this stage to assess the designed learning program.Time development will affect the changing needs of graduates. Using teaching materials as one of the factors supporting the learning process is an absolute thing to do so that learning becomes directed. Therefore, it is necessary to conduct this research to prepare highly competitive human resources. This research is a development that aims to produce materials oriented towards analyzing the needs of graduate users. The ADDIE method includes analysis, design, development, implementation, and evaluation. It was chosen as the basis for developing teaching materials for STMIK STIKOM Indonesia students on Information Technology. The analysis stage is the stage carried out to describe what the learner will learn. Next is the design stage. The purpose of learning, strategies, learning resources, tests are designed. It becomes a supporting factor for the learning process. Development is the next stage where the process of making materials is carried out according to a predetermined design. The next stage is implementation. Submission of material by the results of the development is carried out at this stage. The last stage is the evaluation stage. The revision process is carried out at this stage to assess the designed learning program.

Trends in development of Russian Far East’s fishing industry in context of strategic regional growth

This article is devoted to topical issues of the fishing industry development in the Russian Far East. Far East is the largest and the most abundant with fish resources region of Russia, and also it is the largest territorial administrative unit. The main scientific and practical task the research can help to solve is implementation of strategic prospects and scientific support of the industry development government programs. The aim of the research is to update the trends and identify the main problems of the fishing industry development in the Far East of Russia over the past decade. Methodologically the research is based on the concept of regional economy sustainable development. The article analyzes such indicators of the industry development as: number of enterprises in the industry, number of employees at the industry enterprises, volume of fish products production and processing, level of domestic prices for fish products, fish products consumption volume, fish products export value, volume of investments in fixed assets of industry enterprises. The key trends are identified and the most important problems of the regional fishing industry development are noted. Among such problems: the industry’s dependence on the world market situation, insufficient development of domestic market, excessive growth in prices for fish products in the domestic market, low degree of fish products processing, dependence of fish products export on Asian countries’ consumers.

FEATURES OF INCLUSION IN PRESCHOOL EDUCATIONAL INSTITUTION

Modern scientific discourse is full of many interesting concerns. One of them is implementation of inclusive education, including in preschool educational institutions. Analysis of current researches shows that opinion of educational process subjects about inclusive education is unclear and depends on their awareness, susceptibility to stereotypical ideas about people with disabilities as well as on personal experience. In this regard, there is a need for formation of positive attitudes and inclusive culture in society as a whole. Sociological analysis focuses on realizing the problems in inclusive educational space organizing, which should include a continuum of services and educational environment which is the least restrictive and the most inclusive. All these factors significantly hinder effective system of inclusive education development. To change the situation, there is a need to adopt federal target programs and projects aimed at developing special educational programs, organizing specialized training for teachers of educational institutions, and re-equipping them. Besides, work with children and their parents is highly important to eliminate various stereotypes about children with disabilities.

The Impact of Information Systems Implementation in the Greek Manufacturing Enterprises

Purpose—The purpose of this study is to assess the impact of Information Systems (ISs) implementation in Greek industry. The main issues that are explored through this survey in regards to IS adoption are the financial and nonfinancial benefits that are derived due to IS adoption. The study also investigates the effect that IS adoption had in several business areas in regards to the factor of financial performance. Design/methodology/approach—The survey that was conducted was questionnaire based. Of the 96 valid responses that were received, 83 of them implemented at least one IS. Those 83 responses were analyzed statistically. Several statistical tools were used for that, such as: nonparametric χ2 tests for homogeneity, Cronbach Alpha method for the reliability of the questionnaire, and Mann–Whitney U tests. Findings—The results suggest that the majority of industry in Greece has implemented—at least—the ERP to conduct their business. In addition, most of them use a combination of not more than three ISs. The respondents are also satisfied by the financial impact of IS adoption. Inventory and warehouse management, along with customer service, were most positively affected by IS implementation. On the other hand, returned products reduction and the relationship with the suppliers were less positively affected by IS adoption. Research limitation/implications—The study has a limitation of being conducted in North Greece and not in the whole country. Originality/value—The paper constitutes an empirical research in regarding the financial and nonfinancial contribution of IS adoption in Greek industry. There are rather limited studies that have been conducted in Greece regarding IS implementation and the impact it poses in business affairs. The financial crisis along with the political instability that Greece has faced in the last decade makes it interesting to explore the influence of IS adoption in manufacturing enterprises. Usually, those studies are conducted in more developed countries where the financial and political environment is more stable.

Development of Workshop Work Learning Module and Technical Drawing by Using the EPUB

This study aims to develop a learning module for Workshop Work and Technical Drawing using EPUB for class X TAV students at SMKN 1 Sutera. This research is a series of processes or activities carried out to produce Workshop Work and Engineering Drawing learning modules using EPUB based on development theory. The purpose of developing a workshop work learning module and technical drawings using the EPUB is to produce a valid and practical learning module. The learning module developed is based on the ADDIE development model, which consists of the analysis, design, and development stages. development), implementation (implementation), and evaluation (evaluation). The first stage, analysis, is to analyze before product development is carried out. The second stage, Design, the design stage begins by determining the main concepts contained in the workshop work and engineering drawing subjects. Then the third stage of Development, carrying out product development through designing the components of the learning module, in this development process carried out is conducting validation tests, and practicality regarding products by experts. Furthermore, the fourth stage is Implementation, the implementation stage can be interpreted as a realization step of the design and development stage. The last stage is the Evaluation stage, which is taking action on the treatment of the learning module with EPUB that has been tested. Based on the validation of the learning module that has been carried out on the media expert validator, the value is 0.94 with a valid interpretation. "Furthermore, for material expert validation, the value is 0.89 with a valid interpretation. So it can be concluded that the developed learning module is feasible to use to improve the learning outcomes of the Workshop Work and Technical Drawing Class X TAV Students at SMK Negeri 1 Sutera. After the learning module is declared valid, then it is followed by practicality testing of teacher respondents who obtained the value practicality of 92.49% with very practical interpretation. While the practicality value based on student respondents was 82.39 with practical interpretation. However, overall practicality is very practical.

Multiagent Model of Rail-Road Intersection with Connected Vehicles

The multiagent approach to modelling, traditionally dedicated for distributed systems, can be applied on any platform where there are more processes or control threads. The world of surface transport is a typical example of such a situation where high numbers of dynamic entities (agents) interacting with each other represent a complex problem to solve, analyse and visualise. The main focus of this paper is on functional description of the traffic control problem at the rail-road intersection. Unlike conventional approaches, this model assumes usage of modern (infrastructure-to-vehicle, vehicle-to-vehicle) communication technologies as an essential base of cooperative intelligent transportation systems. The authors use the development toolkit NetLogo, explaining step-by-step the key programming details, to get a comprehensive overview of the operation of the entire system through simple definitions of a number of simple cooperating agents. The introduced model is implementation free and shows newly offered functionalities on the principal level, while a minimum theory of collective intelligence hidden in the background is needed.

Introduction

This chapter outlines the challenge facing us. The Paris Agreement sets a target maximum of 2°C global warming and a preferred limit of 1.5°C. Yet, the subsequent combined national pledges for emission reduction suffice only for limiting warming to roughly 3°C. And because most nations are falling considerably short of meeting their pledges, even greater warming may become locked in. Something more drastic and wide-ranging is needed: a multi-pronged strategy. These different prongs to the climate-change solution are introduced in this chapter and explored one by one in the following chapters. First is rapid, massive reduction of greenhouse gas emissions. Second is implementation of ways to remove greenhouse gases from the atmosphere. Third may be increasing the reflectivity of Earth to incoming sunlight, to cool certain places down more rapidly. In addition, we need to protect ourselves from climate-change impacts that have already become inevitable.

Problem Solving Within the Mathematics Classroom: Challenges and Recommendations

This research (the second part of a 2-part study) sought to investigate selected high school teachers’ knowledge and use of a problem solving approach to mathematics teaching and learning. It also examined the challenges that they experienced in implementing this pedagogical approach. A survey research design was used for this research whereby data were collected using a questionnaire with closed- and open-ended items. Thirty-one high school teachers from Jamaica participated in the study. The findings indicated that the teachers generally used a problem solving approach during instruction very regularly and felt extremely competent when using the approach. Some of the most frequently reported challenges included students’ lack of interest and tenacity in solving problems; teachers’ heavy workload; and the time consuming nature of the approach. One key recommendation to address the challenges raised is implementation of professional development for teachers to guide them in effectively incorporating problem solving as a teaching/learning approach in the mathematics classroom.

Predicting bloodstream infection outcome using machine learning

Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We developed electronic medical record-based machine learning models that predict patient outcomes of BSI. The area under the receiver-operating characteristics curve was 0.82 for a full featured inclusive model, and 0.81 for a compact model using only 25 features. Our models were trained using electronic medical records that include demographics, blood tests, and the medical and diagnosis history of 7889 hospitalized patients diagnosed with BSI. Among the implications of this work is implementation of the models as a basis for selective rapid microbiological identification, toward earlier administration of appropriate antibiotic therapy. Additionally, our models may help reduce the development of BSI and its associated adverse health outcomes and complications.