Behavioral Disorders

Behavioral disorders are on the rise at all levels of upbringing and education, among all categories of children and students, both in terms of their scope and forms of manifestation. The focus of this chapter is to elaborate on the notion of behavioral disorders to introduce a variety of definitions recognized by researchers and practitioners in different scientific disciplines studied by social pedagogy. Furthermore, the emphasis of this chapter is to investigate classifications, criteria, and categories of behavioral problems and identify risks and protective factors among children and young people. These risk factors were discovered in school settings, among peers, and in family climates instigating mild and serious behavioral challenges. The chapter provides a detailed insight into risk factors caused by genetics, family environments, school education, media influence, and free time utilization. The content of this chapter will expand the theoretical and practical knowledge of social pedagogues and other professionals who deal with diverse behavioral disorders in various societies.

MILP of multitask scheduling of geographically distributed maintenance tasks

Due to its proactive impact on the serviceability of components in a system, preventive maintenance plays an important role particularly in systems of geographically spread infrastructure such as utilities networks in commercial buildings. What makes such systems differ from the classical schemes is the routing and technicians' travel times. Besides, maintenance in commercial buildings is characterized by its short tasks’ durations and spatial distribution within and between different buildings, a class of problems that has not been suitably investigated. Although it is not trivial to assign particular duties solely to multi-skilled teams under limited time and capacity constraints, the problem becomes more challenging when travel routes, durations and service levels are considered during the execution of the daily maintenance tasks. To address this problem, we propose a Mixed Integer Linear Programming Model that considers the above settings. The model exact solution recommends collaborative choices that include the number of maintenance teams, the selected tasks, routes, tasks schedules, all detailed to days and teams. The model will reduce the cost of labor, replacement parts, penalties on service levels and travel time. The optimization model has been tested using different maintenance scenarios taken from a real maintenance provider in the UAE. Using CPLEX solver, the findings demonstrate an inspiring time utilization, schedules of minimal routing and high service levels using a minimum number of teams. Different travel speeds of diverse assortment of tasks, durations and cost settings have been tested for further sensitivity analysis.

The impact of time management on job performance – An applied study on the employees of the big brother company and electricity –: أثر إدارة الوقت على الأداء الوظيفي – دراسة تطبيقية على منسوبي شركة الشقيق للمياه والكهرباء –

The study aimed to identify the effect of time management on job performance in Al-Shuqaiq Water and Electricity Company, and to achieve the objectives of the study, the researcher used the descriptive approach, and the study sample consisted of (82) employees, and the questionnaire was designed as a tool for the study to obtain data. A set of results, the most prominent of which were: the existence of an effect of time management on the performance of the employees of the Shuqaiq Water and Electricity Company, where the arithmetic average was (3.72) and the standard deviation (0.60), and the presence of a positive effect of time utilization among the employees of the Shuqaiq Water and Electricity Company, where the arithmetic average was (4.08). And the standard deviation (0.66), and the presence of a statistically significant effect at a level less than 0.05 between time management and job performance in the brother water and electricity company, and it also showed that the employees of the company realize the importance of completing work on time, and the presence of a statistically significant effect at a level less than 0.05 Between the effect of time use and job performance, the results showed that there are statistically significant differences about the effect of time management on job performance due to the age variable, and there are no statistically significant differences about the effect of time management on The job performance refers to the two variables, academic qualification and years of experience. The study recommended a number of recommendations, the most prominent of which are: the need for the volume of work to be commensurate with the official working hours, as well as the necessity of providing the means and techniques that help workers accomplish the tasks assigned to them efficiently, and the need to educate workers and urge them to set up prior plans for the work that they will undertake.

Efektivitas Antifungi Ekstrak Curcuma aeruginosa terhadap Patogenisitas Colletotrichum capsici pada Tanaman Cabai Merah (Antifungi Effectivity of Curcuma aeruginosa Extract to Colletotrichum capsici Pathogenicity on Red Chilli Pepper)

<p>Antraknosa yang disebabkan oleh Colletotrichum capsici masih menjadi penyakit utama yang menyerang buah cabai merah. Selama ini, penggunaan Curcuma aeruginosa sebagai antimikrobe patogen penyebab penyakit pada manusia lebih populer daripada sebagai antimikrobe fitopatogen. Rimpang Curcuma diketahui mengandung senyawa volatil/atsiri dan nonvolatil. Potensi senyawa volatil/atsiri Curcuma sebagai antimikrobe telah banyak dilaporkan, namun masih sangat terbatas untuk senyawa nonvolatilnya. Penelitian ini bertujuan mengetahui efektivitas antifungi senyawa nonvolatil dari ekstrak C. aeruginosa terhadap C. capsici pada buah cabai merah. Penelitian dilaksanakan pada bulan November 2014 hingga Mei 2015 di Universitas Brawijaya. Senyawa nonvolatil didapatkan dengan merendam rimpang C. aeruginosa menggunakan pelarut metanol kemudian didistilasi menggunakan rotary vacuum evaporator dan diidentifikasi menggunakan HPLC. Efektivitas antifungi senyawa nonvolatil dari ekstrak rimpang C. aeruginosa diuji secara in vitro dan in vivo di laboratorium menggunakan Rancangan Acak Lengkap dengan tiga kali ulangan. Perlakuan yang diujikan yaitu konsentrasi senyawa nonvolatil terdiri atas 0 (kontrol), 4, 6, 8, 10, dan 12 ppm. Senyawa nonvolatil dari ekstrak rimpang C. aeruginosa sangat efektif menghambat pertumbuhan C. capsici baik secara in vivo maupun in vitro di laboratorium bahkan konsentrasi 12 ppm menunjukkan persentase penghambatan antraknosa hingga 100%. Hasil identifikasi HPLC menunjukkan bahwa senyawa nonvolatil dari ekstrak rimpang C. aeruginosa mengandung kelompok Curcuminoid yang terdiri atas curcumin dan demethoxycurcumin yang berperan sebagai antifungi sehingga sangat berpotensi dikembangkan sebagai fungisida nabati.</p><p><strong>Keywords</strong></p><p>Antraknosa; Cabai merah; C. aeruginosa; Senyawa nonvolatil</p><p><strong>Abstract</strong></p><p>Anthracnose caused by Colletotrichum capsici is still as major disease against chilli pepper fruit. During this time, utilization of C. aeruginosa as pathogen antimicrobial caused disease to human is more popular than to crops. Curcuma has been known containing volatile and nonvolatile compound. Potential of volatil compound from Curcuma as antipathogen has been reported widely, nevertheless it is still limited known for nonvolatile compound. This research aimed to understand the antifungi effectivity of nonvolatile compound from C. aeruginosa extract to C. capsici on chilli pepper fruit. Research was conducted in November 2014 to Mei 2015. Nonvolatile compound was obtained by soaking C. aeruginosa rhizome into methanol solvent then distilated using rotary vacuum evaporator and identified with HPLC instrument. Antifungi effectivity of nonvolatile compound from C. aeruginosa extract was experimented by in vitro and in vivo test using Completely Randomized Design with three replications. Treatments tested were various concentrations of nonvolatile compound namely 0 (control), 4, 6, 8,10, and 12 ppm. Nonvolatile compound from C. aeruginosa extract was highly effective to inhibit growth of C. capsici by both in vitro and in vivo test. HPLC identification result showed nonvolatile compound from C. aeruginosa extract contains Curcuminoid group play role as antifungi.</p>

RELATIONSHIP IN IOT AND BIG DATA ANALYTICS: THE OPPORTUNITIES AND OPEN CHALLENGES

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

Research on Platoon Dispersion Delay of Traffic Flow considering Coordinated Control

To improve the traffic capacity and reduce the delay of signalized intersections, the delay of coordinated control intersections is studied. Based on the freedom and randomness of the speed change and considering the delay problem caused by the discrete behavior, the authors deduced a new delay model. Firstly, by analyzing the kinematic behavior of traffic flow under coordinated control, it is found that traffic flow reaches the downstream intersection in two different forms. The two forms were as follows: the tail vehicles of discrete traffic flow were truncated and the front vehicles of discrete traffic flow were stopped. Then, the authors deduced the new delay model by analyzing the two conditions. Finally, the delay of the two cases is analyzed, which can be used as the basis for setting the phase difference between coordinated control intersections. The correctness of the model is verified by designing two example coordinated control intersections under unsaturated flow with MATLAB. Results show that the discrete traffic flows will have different impacts on delay or traffic efficiency when they arrive at the downstream intersection in different forms. Through the analysis of the delay of vehicles, when the green split is less than 0.64, the tail truncation delay is greater than the front truncation delay. When the green split is greater than or equal to 0.64, the opposite is true. The phase difference of upstream and downstream intersections can be optimized and coordinated according to the goal that vehicles can smoothly pass through the coordinated control intersection or ensure the minimum delay, so as to give full play to the space-time utilization of the coordinated control intersection.

Prediction of coating thickness for polyelectrolyte multilayers via machine learning

Layer-by-layer (LbL) deposition method of polyelectrolytes is a versatile way of developing functional nanoscale coatings. Even though the mechanisms of LbL film development are well-established, currently there are no predictive models that can link film components with their final properties. The current health crisis has shown the importance of accelerated development of biomedical solutions such as antiviral coatings, and the implementation of machine learning methodologies for coating development can enable achieving this. In this work, using literature data and newly generated experimental results, we first analyzed the relative impact of 23 coating parameters on the coating thickness. Next, a predictive model has been developed using aforementioned parameters and molecular descriptors of polymers from the DeepChem library. Model performance was limited because of insufficient number of data points in the training set, due to the scarce availability of data in the literature. Despite this limitation, we demonstrate, for the first time, utilization of machine learning for prediction of LbL coating properties. It can decrease the time necessary to obtain functional coating with desired properties, as well as decrease experimental costs and enable the fast first response to crisis situations (such as pandemics) where coatings can positively contribute. Besides coating thickness, which was selected as an output value in this study, machine learning approach can be potentially used to predict functional properties of multilayer coatings, e.g. biocompatibility, cell adhesive, antibacterial, antiviral or anti-inflammatory properties.

The Influence of Leadership Behavior and Employee Commitment to Work Performance of Multi Nabati Sulawesi Corporation

This study aims to analyze the influence of leadership behavior and employee commitment to work performance of employees in Maleo Unit Multi Nabati Sulawesi Corporation. The company faces the challenge of how to improve the work performance of employees. The method used in this research is quantitative research methods. The data collection techniques using a questionnaire distributed to 94 employees who work in the company. This study consist of three variable Leadership behavior is measured by the ability to motivate, direct, communicate, decision-making, and responsibility. Employee commitment is measured by acceptance of organizational objectives, loyalty, compliance with organizational rules, work engagement, and acceptance of organizational values. Work performance is measured by cooperation, creativity, time utilization, quality of work, and quantity of work. The data was analyzed using multiple regression analysis techniques. The results of the analysis are known that the value of 9.19 where is the value of F_test > F_tabel or 9,190 > 3,097, with a significant rate of 0.00 which means less than 0.05 or 0.00 < 0.05. This means there is a simultaneous influence between leadership behavior and work commitment to the work performance of employees in Maleo unit Multi Nabati Sulawesi Corporation.

USING FLIPPED CLASSROOM FOR TEACHING PROCEDURAL SKILL IN RESIDENCY SPECIALLY DERMATOLOGY–A SYSTEMATIC REVIEW

Objective: To review the available literature investigating effectiveness of flipped classroom (FC) in context to teaching of procedural skills in residency in various medical fields especially in dermatology. Study Design: Systematic review. Place and Duration of Study: Flipped classroom meeting out inclusion criteria published in 9 years from 2012 to 2020. Methodology: Flipped classroom meeting out inclusion criteria published in 9 years from 2012 to 2020 were reviewed by the authors and co-authors as per their feasibility and discussion done by video conferencing by mobile software apps. Results: To review of 25 full-text articles. Strategic organization of course material, wise choice of pre-class activities, usage of Virtual learning environment, class time utilization tailored to learners needs, adherence to timelines, proper training of staff and proper evaluation; are required for successful implementation of flipped classroom. Students had positive perceptions about this technique. Conclusion: Flipped classroom is an effective teaching method for procedural skills training in post graduate medical training.