This research aims to explore how political violence threatens the health of young children in the city of Bulawayo, Zimbabwe. Utilizing a distinction in-contrasts relapse procedure, we uncover the harmful results of political viciousness on Zimbabwean youngster wellbeing. Specifically, political viciousness makes kids weigh 0.720 and 0.565 standard deviations less for their age and stature, separately, when presented to it. Our exploration prescribes embracing opportune and successful drives to limit the pernicious outcomes of political brutality.
The purpose of economic development is to improve people's prosperity. National economic growth is largely determined by the dynamics of regional economy, while regional economy is generally supported by MSME-scale of economic activities, one of them is the sector of handicraft. The empowerment of MSMEs is aimed at making prosperous lives of MSME subject. To obtain a prosperous life, small and medium enterprises in Denpasar have many limitations, therefore this business has not been able to be optimally developed, especially during COVID-19 pandemic. The purpose of this research is to analyze (1) the influence of financial performance and capital expenditure on economic performance; (2) the influence of financial performance, capital expenditure and economic performance on people's prosperity; and (3) analyze indirect effect of financial performance and capital expenditure on people's welfare through economic performance in districts and cities of Bali. This research was conducted toward 97 samples and data collection was carried out through questionnaire. The analysis was done by SEM-PLS method. The results of research and data analysis indicated that (1) the role of government has positive and insignificant effect, while social capital has significant positive effect on business performance; (2) the role of government, social capital, and business performance have positive and significant impact on business prosperity and (3) the role of government does not have an indirect effect, while social capital has indirect effect on business prosperity through business performance. Government plays an important role in empowering MSMEs. Government has not been able to improve business performance however they are able to improve the prosperity of a business subject. Social capital is able to improve business performance and business subject prosperity, moreover, business performance is able to mediate the relationship of social capital to the people prosperity in Denpasar.
E-learning has become a popular learning method used in many local and international universities and in many educational institutions. The initial achievements of e-learning platforms and the online learning environment demonstrated outstanding advantages in distance education. However, it is necessary to conduct an evaluation of the educational process, and in particular an effective assessment of the learning environment via online-based e-learning platforms. Where this study aimed to identify the evaluation of the effectiveness of e-learning from the point of view of the teaching staff in the Technical Institute of Babel and the Technical Institute Al-Mussaib. To achieve the objectives of the study, the researchers prepared a questionnaire containing (32) questions, after verifying the tools of reliability and validity. The results of the study revealed that the evaluation of the effectiveness of e-learning was average and above average in some paragraphs of the questionnaire. The percentage (84,070) of faculty members use computers and smart phones to publish academic content through the use of the home internet, at a rate of (95,575) in the form of creating educational content in several forms, including video, audio and text at the same time.
The information developments and communication technology also has a negative side. This study is aimed to determine the online prostitution communication network on Twitter and understanding of online prostitution on Twitter. This study uses SNA (Social Network Analysis). SNA views social relations as a theory of networks consisting of nodes and relationships (also called edges, links, or connections). Nodes are individual actors in the network and the relationships are between actors. The data set used in this study is tweet data from Twitter, with the keyword samples being “openBO”. The hashtags were chosen because they are the most widely used the hashtags for online prostitution. The data is taken with a period between January 2020 to December 2020. The data is taken and processed using NodeXL Basic, one of the plugins for Microsoft Excel that can be used to process data from social networks. This research found there are 3,673 nodes and 54,969 edges. The hashtags utilization is usually utilized by online whores to advance their administrations. A few prostitutes are independent, it is implying that they don’t connect with others in advancing business sex administrations. It is not reliant upon pimps since pimps mean to lessen their business chain.
Miniature holograms are frequently used for exhibition as pyramid shape. But there is a lack of studies on holograms with various shapes. This study aims to learn about the shapes of miniature holograms where reflection floating hologram technologies are applied. By analyzing the floating hologram types, it aims to verify that the reflection type of floating hologram is suitable for miniature hologram implementation and study suitable types of reflection miniature holograms that are not pyramid shapes. Apart from the pyramid shape hologram frequently used for exhibition, the author studies cone, semi sphere and cylindrical shape holograms and forms them in a vertical structure to support expansion of the screen showing the image. Reflection type f hologram posed light scattering problems in the past, but by attaching a polarization filter to the screen, the effect of light scattering is minimized. A vertical type of hologram causes distortion of image depending on the visual angle of the viewer. In the future, if it is possible to minimize the image distortions, it would be possible to implement expanded shapes.
Recently, image processing has been widely used in the medical field. This field helps to increase the accuracy of medical diagnosis, which helps in the early detection of diseases and increases the accuracy of prescribing treatment. Where it is noted that most medical devices such as sonar that are used to take pictures of body parts may give blurred images, which leads to the need for digital image processing techniques to increase the clarity of these images, which gives an accurate description of the examined part of the body. Speed is also one of the most important criteria for measuring the quality of any system, especially in the critical matters, including the medical field, where speed and accuracy of diagnosis are very important for immediate decision-making. To ensure the best speed and the most accurate result, it is better to distribute this process and use more than one processing unit for digital image processing. In this paper, a system was presented that detects the edges of medical images by relying on edge detection processing technology and taking advantage of the field of distributed systems to obtain results at high speed and accuracy. Matlab 2015 environment was used to simulate the system, and the results showed high accuracy in edge detection and high speed to obtain the results.
With the web containing a huge amount of information, the extraction of application oriented understandable data has become easier with web mining. Web Mining is the area that is derived from data mining. Unlike data mining, web mining is used to extract interesting patterns from the information available on the web. When used with deep learning, the pattern recognition becomes much easier. Deep learning works in the same way, how a human brain works in terms of predicting the outcomes when a bulk of information is provided. It deals with mathematical models that recognize the patterns efficiently. The different types of web mining techniques, namely: web content mining (WCM), web structure mining (WSM) and web usage mining (WUM) persists. Researchers and economists around the globe are keen in knowing the impact of the pandemic on the society’s economic status; this work helps find the same using reputation system. As twitter is a hub of different opinions of public, we work with covid- 19 data set from twitter. A reputation system helps finding the socio economic status of the tweets regarding covid-19 dataset. This paper has proposed a framework in which the web mining is implemented using a semantic enhanced deep neural network technique for the reputation system.
Fluctuating result on weather condition throughout several decades became a global concern due to the direct or indirect effect on energy consumption, and that was well-defined in several sector. Research investigates the use of technology and the speed of obtaining information ، which helps in decision-making. This paper Emphasize the role of data science and their application to monitoring energy consumption, also, explain the importance used and challenges of Internet of Things (IoT). Thus, there is a global concern on data transformation from IoT devices when taking into account deferent weather variations. Cities are a critical part when of energy management, it presents the effect of urbanization and some of the success achievement in several cities around the world. Our Analysis indicate that three dissimilar types of sensors can detect massive amount of information up to four hundred thousand rows, compared to traditional methods for collecting data. The results depict the resilient of IOT performance which provide an aggregate of measures reach around 405,184 rows in a record time, with achieved accuracy up to 99% when implementing the decision tree algorithm, the outcome after applying the algorithm was vary 27.60 per-cent recorded by the first device while the other devices scored 26.14%,46.26% respectively, throughout different circumstances with continuous reading in a short period of times around 8 days.
Pacing from the part of deposits and loans in supporting banking stability, any peril that threatens this part constitutes direct trouble to the banking system. Thus, should develop the mechanisms to cover and guarantee the rights of depositors (deposit guarantee), and mechanisms to cover banks from remitment of bank credit and cover them from ruin and ruin through the establishment of an institution guaranteeing loans, which represents an abecedarian demand to guarantee and stabilize the banking system and restore lost Confidence in the Iraqi banking system. Consequently, the exploration problem surfaced from a set of questions: Do deposit and loan guarantee institutions lead to the banking system's stability? Does this affect the degree of stability of deposits and attract further deposits, especially since deposits within the banking system are (23), while there's a chance (77) of the financial mass outside the banking system? As well as the question, will the bank credit increase after the loan institution guarantees this credit? Therefore, cranking the Deposit Guarantee Law and approving the Loan Guarantee Law will contribute to the anticipated part in restoring Confidence in the Iraqi banking system? It represents the fundamental problem of exploration, primarily since the Deposit Law, despite its blessing, has not been enforced.
Modern society is changing into an era of digital transformation with the development of advanced information and communication technology (ICT) and information systems. Various information is digitized and stored, and the value of information is increasing. As the value of information increases, hackers' techniques to take advantage of unfair profits using them are subdivided and advanced, causing unexpected big problems in society. In particular, it was noted that cases in which elementary school students, a digital native generation, are often reported to be involved in crimes. Therefore, based on the basic concepts and principles of computing for elementary school students, we developed a learning teaching tool that can provide hacking-related education in an interesting way using gamification based on computing thinking ability that can efficiently solve unexpected problems. The learning goal was set for the development of educational aids by analyzing the cyber-attack process, and the game material was selected by applying the information security hacking principle learning to Samuel Livingstone's simulation game model. Then, we set game figures, roles, resources, external factors, and goals of the educational game and designed game boards, mission papers, and worksheets. We also established the game rules using the game data designed. Lastly, we found complementary points with security experts and education experts to supplement the learning aid while running the game. This paper helped learners to understand the security equipment applied in the network environment. In the end, we developed a teaching aid that can strengthen learners' computational thinking and understand hacking principles. This game ensures infinite scalability of the challenge by having students perform three missions per challenge. The educational aids proposed in this paper are limited at the primary level that elementary school students can understand. However, it can be designed and extended to infer interleaving by combining transaction and lock functions.
This research was motivated by complaints from various parties about the less than optimal learning outcomes for children during the Covid 19 pandemic in Indonesia. This study aims to see the readiness of various parties to support the implementation of learning from home during the COVID-19 pandemic in Indonesia. This research is a descriptive research with a quantitative approach. The population of this study were educators and parents of children aged 3-6 years, research respondents found 450 people consisting of 325 PAUD educators and 125 AUD parents, who came from 5 provinces in Indonesia (West Sumatra, West Java, Central Java, East Java). Java and Gorontalo). Processing data using the percentage formula. Based on the results of data processing, conclusions can be drawn; 1) More than (an average of 53%) educators in PAUD institutions are already quite well prepared in dealing with learning activities from home, this can be seen from the readiness of learning plans, learning media, and learning applications used. However, there are still educators who are uncomfortable or unprepared because they have limited operational skills for learning applications, 2) Almost all early childhood parents (+ 47%) are not ready to face learning activities from home, because the media and supporting facilities they have are insufficient, limited knowledge and skills in using learning applications, the availability of internet networks, and the time limit for assisting children to learn due to economic factors. 3) Almost learning from early childhood (+48%) are not ready for learning activities from home because children are accustomed to learning to play with peers, so that they are tired of studying on their own from home, children are not independent and need intensive assistance from parents, and limited media and supporting learning facilities from home.
In the musyarakah financing contract, there is the imposition of mortgage rights, which will be auctioned if the customer does not pay the installments to the Islamic bank. However, the concept of musharakah itself does not recognize any mortgage rights, because musharakah adheres to the principle of profit sharing and losses being shared, with the imposition of mortgage rights on musharakah financing creates legal uncertainty for customers, because banks do not want to bear losses together with customers. From the results of the study it was concluded that, the implementation of the binding of mortgage guarantees in musyarakah financing is basically the same as the binding of mortgage guarantees on conventional banks, only regarding the execution of mortgage guarantees musyarakah financing in Islamic banks Courts while in conventional banking in the District Court, and the binding of Mortgage on musyarakah financing is not guaranteed by law, in Law No. 21 of 2008 concerning Islamic Banks it does not regulate mortgage rights in musyarakah financing, and also the imposition of mortgage rights on musyarakah financing proves that Islamic banks do not want to participate in the loss of musharakah financing. With the uncertainty due to the imposition of mortgage rights on musyarakah financing, customers do not get certainty of their rights actually in musharakah financing.
The study aims at identifying the sources of information and explaining their role in e-learning from the viewpoint of the Iraqi college students. The researchers relied on the descriptive method of the survey method to collect data and know the point of view of undergraduate students from the Department of Information in the College of Arts / Tikrit University and the Department of Quranic Studies at the College of Arts / University of Baghdad. The questionnaire was used as an instrument of the study, the research sample is (120) students; each section has (60) male and female students. The study concluded that there are many types and forms of information sources that students receive through electronic educational platforms from text conversations through the electronic classroom and through social networking programs, as well as lectures in various forms, books, research and various studies and methodological studies and links to sites of scientific and electronic libraries. Colleges have to work to hold training courses and educational workshops for students and professors on electronic learning platforms, programs and how to send and receive information and its sources, especially training on the platform approved by the university or college.
The Software defined network (SDN) controller has such networks universal sight and allows for centralized management and control for the networks. The algorithms of Machine learning used alone or combined with the SDN controller's northbound applications in order to make intelligent SDN. SDN is such potential networking design that blends network's programmability with central administration. The control and the data planes are separated in SDN, and the network with central management point is called SDN controller, which may be programmed and utilized as a brain of the network. Lately, the community of researchers have shown a greater willingness to take advantage of current advances in artificial intelligence to give the SDN best decision making and learning skills. Our research found that combining SDN with Intelligent Supervised Machine Learning (ISML) is very important for performance improvement. ISML is the development of algorithms that can generate broad patterns and assumptions from external source instances in order to portend the predestination of future instances. The ISML algorithms of classification goal is to categorize data based on past information. In data science problems, classification is used rather frequently. To solve such problems, a number of successful approaches were already presented, including rule-based techniques, instance-based techniques, logic-based techniques, and stochastic techniques. This study examined the ISML algorithms' efficiency by checking the precision, accuracy, and with or without SDN recall.
The purpose of this study is to describe the public's reception of essays by Indonesian public figures, namely Dahlan Iskan, on social media. The ease with which social media is used to communicate has increased the involvement of the audience in receptive to a work. In fact, audience receptions on social media are often used as a reference in assessing whether or not a work is good. Therefore, research on reader reception on social media is interesting to do. This research uses qualitative methods and the research approach used is reception study. In this study, the theory of active audiences in the form of the encoding-decoding model proposed by Stuart Hall is also used. The results showed that there were three typologies of audiences in receptive to Dahlan Iskan's essays, namely there were four models of readers in receptive to DI essays on social media. The four reader models include (a) dominant-hegemonic readers, (b) negotiating readers, (c) oppositional readers, and (d) recreational readers. The categorization of this reader model is based on the position of the reader towards the text being received. Apart from these four categories, ideological-political readership models are also found, namely readers who are not dominant, negotiating, in opposition, or recreational. Readers of this model respond to the work by relating it to political conditions. Whatever works are received, readers of the ideological-political model always relate the content of the work and comment negatively on the political conditions in Indonesia.
This research aims to analyze the disclosure of intellectual capital of companies in Indonesia. The factors referred to include Independent Commissioners, Ownership Concentration, leverage and profitability. Agency theory is used as the basis for developing a conceptual framework to connect the variables being tested. The contribution of this research is to test the subjective factors, namely the variable of the existence of independent commissioners, the concentration of ownership combined with the objective variables which are derived from the company's financial data, namely leverage and profitability. The samples are 72 companies that consistently express clusters of intellectual capital-based companies in 2016 to 2019 are sourced from websites. www.idx.co.id. the data analysis technique for hypothesis testing is multiple linear regression, using the SPSS version 20 application. The results. of this study prove that all tested variables, namely independent commissioners, ownership concentration, profitability and leverage have influence to intellectual capital Disclosure. Thus, it strengthens the importance of information to the capital market about the determinants of disclosure of Intellectual Capital, both objectively and subjectively. This study is still several studies and the limitations of this study are the cluster sample so that the generalizability is low, the recommendation for further research is to use a more precise sample and a longer observation period.
The objective of this present research is aimed at understanding the forms of language politeness that may used as the reading materials in the School Literacy Movement (henceforth, SLM) and planning the implementation of the language politeness-based reading materials application as an effort to grow Junior High School Students’s characters. It is a descriptive qualitative research. The techniques of the data collections adopted were literature reviews, in-depth interviews, and recording. In the data validity, data, researchers, and methodology triangulation techniques were employed. The data analysis technique in the form of texts were analyzed using the interactive model. The research results showed that the forms of the language politeness that should be used as the reading materials in the activities of the SLM implementation may be chosen from Leech’s language politeness which has been adapted to the politeness existing in Indonesia. The implementation of the language politeness-based reading materials application intended to grow Junior High School Students’s characters is obligatory. The implementation was done through stages according to the SLM program, starting from habituating reading activities for 15 minutes before the class began. At Junior High School level, the students were introduced to materials the teachers had chosen. Then the length of the reading activities was gradually improved. The students should understand the reading materials of the politeness in a certain period of time, then the materials were practiced in the form of simulation.
The multidisciplinary analysis for the training with research and development (R&D) regarding nuclear terrorism is studied. The cyber terror attack on nuclear power plants (NPPs) has provoked necessities of the education importance. The system dynamics (SD) is applied to this work, which was created in MIT around 1950s to promote the corporations of managers to enhance their understandings in industrial and political processes and the SD is nowadays being used throughout the public and private sector for policy analysis and design. SD simulations are shown as Records Retention, New R&D, New Education, Change Control, and Security Program Review. In these simulations, the continuous increasing values are shown in Records Retention. The New R&D and New Education are randomly generated values between 0.0 and 1.0. After the summations with these values, Change Control and Security Program Review are obtained. The effect of simulation is highest in the 10th month. Otherwise, it is minimized in 19th month. The higher values mean in the situation much more secure for the cyber terror in the nuclear industry. Internationally agreed training center could be established for the prevention and preparations for the potential terror cases. Regarding the other kinds of energy facility, the oil and coal powered plants have many susceptible situations. For example, the power line control system could be attacked by the networking computer system. Considering the common characteristics of the cyber terror on industry, the international attacking is possibly done due to the networking of the internet systems. The education program will be constructed and modified reflecting the situations of each nation.
The traditional Proportional-Integral-Derivative (PID) controller is a feedback control loop that is commonly used in industrial control systems with fixed parameters, whereas the adaptive PID (APID) controller is based on the analysis of traditional PID controllers. It utilizes an online parameter adjustment method built on the state of the system resulting in better system adaptability. In this paper, the APID controller that is suggested by (Ebel, 2011) is used firstly to control a 2-degree of freedom (DOF) lower limb rehabilitation robot. The structure of this controller is then modified to perform a Modified Adaptive PID (MAPID) control in order to improve the efficiency of APID controller and hence improve the performance of the rehabilitation robot. The parameters of APID and the suggested MAPID controllers are optimized by using Grey Wolf Optimization (GWO) algorithm. Linear and non-linear desired trajectories are used to test the performance of the controlled rehabilitation robot. Simulation results show that the obtained performance of the rehabilitation robot is more efficient with the MAPID than with the APID having no overshoot and very small steady state error. The controller has settling time of (0.463) and (0.851) seconds, and rise time of (0.485) and (0.752) seconds respectively for link1 and link2.
Since 2010, as the number of urban residents returning to farming and returning to rural areas has increased, various policies and service models such as education have been supported. However, as the number of failures and dissatisfaction cases for returning to farming and returning home increases, it is urgent to prepare a support service model. After all, in addition to farming technology, it is necessary to collect and prepare a lot of information, such as selecting competitive crops, needing to check how to secure housing/farmland, and recognizing legal process information such as registration of farmers/businesses. Therefore, in this paper, algorithm verification was performed to improve the importance of key variable items in order to efficiently compose the returnee data set. To this end, the algorithm was verified to be able to implement a service model that can recommend regions, items, and information with high reliability to returning farmers by applying artificial neural networks and random forest techniques. The artificial neural network and random forest technique were applied as methods for deriving effective variables and validating algorithms to secure the reliability of the returnee data set, which is the goal of the study. For this purpose, algorithm verification was performed using Ridge regression and Lasso regression among artificial neural network techniques. And, algorithm verification was performed using IncMSE and IncPurity methods among random forest techniques. In addition, negative binomial distribution regression was additionally applied to increase the reliability of the verification. Algorithm verification results for deriving effective variables and measuring importance of the returnee data set, a total of five variables that obtained relatively high scores from all methods were derived: the number of direct sales stores, the land area, the number of libraries, the number of hospitals/clinics, and the number of specialized retail businesses.
