"Challenges of using educational platforms and suggestions to address them from the perspective of first-field students at Al Sharqiyah University, Sultanate of Oman"

The study aimed to explore the challenges of using educational platforms and proposals to address them from the point of view of the third-year students at Al-Sharqiya University. The descriptive approach was used on a sample of the third-year students at Al-Sharqiya University in the specialization of the first field, consisting of (100) students. The study tool consisted of a two-axis questionnaire to identify the challenges of Use of educational platforms and proposals to address them. The study concluded that among the main challenges of students' use of educational platforms are weak Internet networks and their lack of coverage in some places, some students not having their own computers, and the lack of technical support when needed. The results showed that among the proposals to address the challenges are the following: Strengthening internet networks in some areas and making them available for free for educational purposes, and providing personal computers for students who need them at subsidized prices and an easy payment method, in addition to providing the necessary technical support through the establishment of a special platform that includes answering questions directly, as well as educating students about the harms of staying long hours in front of electronic devices. The results of this study were discussed in the light of latest reviewed literature followed by recommendations and suggestions for future studies and investigations.

Designing a Teaching Website for Early Warning Technology Support Specialty Based on Information Architecture

With the advancement of education informatization, learning through the internet has become a very important approach. Existing teaching websites generally have problems such as low accuracy of information grouping and obvious disconnection between the navigation system and content. Based on information architecture, a teaching website for early warning technical support specialty is designed in this paper from four aspects: content organization, identification, navigation, and interaction. The unification of information processing and information requirements is achieved using this method, which improves the quality of professional course construction for early warning technology support specialty.

The Main Threats and Challenges for Russia in the First Half of the XXI Century and Possible Areas of Work to Mitigate their Consequences

This article analyzes threats and challenges for the Russian Federation in the first half of the XXI century and identifies possible directions for improving security in emergency situations based on the use of new approaches in organizational, legal, scientific and technical support of measures, management bodies and civil defense forces and the unified state system of emergency prevention and response (RSChS).

Challenges of Online Exam Systems in the COVID-19 Pandemic Era

The swift conversion of courses to online format and online exam systems has identified the COVID-19 pandemic era. All educators on the globe have faced the obstacles of abrupt adoption of distance education learning methods. This unexpected shift has presented numerous challenges as preparing an online course content requires developing detailed course plan design, audio and video content, and technical support equipment. This chapter focuses on determining the problems and developing solutions based on the student perceptions about the online exams, which were compulsorily transitioned during the pandemic process. A survey about student perceptions of online exams has been developed and applied to the students after they have taken the exam. Descriptive statistics is used to analyze the data. E-assessment of perception about the online exam system and its impacts on motivation and performance are discussed, and suggestions to improve the system are provided in the chapter.

Eustress And Distress In The Context Of Telework

The COVID-19 pandemic brought about a surge in telework, with many organizations using telework to continue operations. Teleworkers are subject to stress due to the demands of working from home. Despite the common view of stress as being detrimental, stress can also be beneficial. In this paper, we investigate two forms of stress, eustress (beneficial stress), and distress (detrimental stress) using a theoretically-derived model that includes antecedents and outcomes of eustress and distress. We test our model using data from a survey of 525 American teleworkers. Results indicate that job resources (autonomy, managerial support, and technical support), and personal resources (resilience and self-efficacy) affect eustress, while job demands (work overload, social isolation, and resource inadequacies) affect distress. Eustress is positively associated with job and telework satisfaction and negatively associated with telework exhaustion. Distress has the opposite effects. Our findings hold implications for researchers and practitioners.

Enhancing Cloud Availability via Intelligent Monitoring using Time Series Database and Machine Learning

Every cloud provider, wishes to provide 99.9999% availabil- ity for the systems provisioned and operated by them for the customer i.e. may it be SaaS or PaaS or IaaS model, the availability of the system must be greater than 99.9999%.It becomes vital for the provider to mon- itor the systems and take proactive measures to reduce the downtime.In an ideal scenario, the support colleagues (24*7 technical support) must be aware of the on-going issues in the production systems before it is raised as an incident by the customer. But currently, there is no effective alert monitoring solutions for the same. The proposed solution presented in this paper is to have a central alert monitoring tool for all cloud so- lutions offered by the cloud provider. The central alert monitoring tool constantly observes the time series database which contains metric val- ues populated by HA and compares the incoming metric values with the defined thresholds. When a metric value exceeds the defined threshold, using machine learning techniques the monitoring tool decides & takes actions.

ALGORITHM FOR EVALUATING MILITARY TECHNICAL EFFICIENCY OF USING MILITARY VEHICLE EQUIPMENT BY PARTS AND DIVISIONS OF THE NATIONAL GUARD OF UKRAINE IN THE COURSE OF BATTLE ACTIONS (OPERATIONS)

The article argues the relevance of determining the indicator of military-technical efficiency of the use of military automobile equipment by units and subunits of the National Guard of Ukraine when performing battle actions (operations). Currently, special indicators are used to assess the state of military automotive equipment, which are a numerical expression of the gauges or their relationship. Existing methods of planning technical support, methods for predicting the quantitative assessment of the military-technical efficiency indicator of the use of military automotive equipment during hostilities need further improvement. The article proposes to use a comprehensive indicator, a generalized coefficient of military-technical efficiency of using military automobile equipment during combat actions (operations), as an indicator of military-technical efficiency of using military automobile equipment in combat conditions, and to determine directions for increasing the efficiency of using military equipment. Keywords: automotive technical support; military automotive equipment; military-technical efficiency of using military automobile equipment; performance indicators; technical readiness coefficient; machine use efficiency during battle actions (operations)

Experimentální laboratoř PLESS

The PLESS laboratory was established in 2013 at the Faculty of Arts of Charles University. It provides both physical and online space for the implementation of research, a database of contacts for the recruitment of participants, and know-how for the technical support of studies. The created facilities are used by the members of the laboratory for their researches, in particular in the fields of experimental social psychology, psychology of decision-making, and behavioural economics. About all the studies carried out so far, the members of our team, and the studies currently under investigation topics we are working on, you can find out more at www.pless.cz.

Rancang Bangun Sistem IT-Helpdesk Untuk Maintenance dan Tutorial Aplikasi Simplebiz Menggunakan Metode Forward Chaining dan Certainty Factor

Aplikasi simplebiz merupakan sebutan umum dari 20 aplikasi bisnis berbasis desktop yang telah dibangun dan dikembangkan oleh PT. Bamboomedia Cipta Persada. Sampai saat ini jumlah pengguna dari aplikasi simplebiz di seluruh indonesia telah mencapai 10.508 orang, sedangkan jumlah technical support pada divisi IT-helpdesk di PT. Bamboomedia Cipta Persada hanya 2 orang. Berdasarkan dari permasalahan tersebut, maka diperlukan sebuah sistem yang dapat digunakan oleh pengguna aplikasi simplebiz untuk memperoleh solusi dari kendala yang mereka alami layaknya berkonsultasi secara langsung dengan seorang technical support, sehingga diharapkan mampu membantu para technical support pada divisi IT-helpdesk di PT. Bamboomedia Cipta Persada dalam menangani sekaligus mengurangi jumlah pengaduan yang diterima baik secara bertatap muka, melalui telepon, maupun melalui SMS. Pada penelitian ini telah berhasil dirancang dan dibangun sebuah sistem IT-helpdesk untuk maintenance dan tutorial aplikasi simplebiz menggunakan metode forward chaining dan certainty factor, dimana melalui hasil uji coba yang telah dilakukan pada sistem, menghasilkan persentase keyakinan dari solusi yang dihasilkan oleh sistem terhadap masalah yang dihadapi pengguna aplikasi simplebiz sebesar 80% dan tingkat keyakinan dari output terhadap kontribusi penyelesaian masalah tersebut adalah HAMPIR PASTI.