Reviewerly/exHarmony huggingface dataset:
Effect of Computer Assisted Instruction (CAI) on Engine Servicing Students Achievement and Interest in Automobile Technology

The automobile technology educational achievements of students in internal and external examinations have been a source of concern to Automobile engineers and technologist in this course of study.To overview this, various efforts have been put in place by them.CAI is used in the teaching and learning of Automobile education engine servicing in some Government and private secondary schools in Ogba/Egbema/Ndoni local government area of Rivers state.The study used the quasi-experimental design and consisted of all the senior secondary schools one of the Government and private secondary schools in Rivers state.Instruments used for the study were titled Automobile Technology Achievement Test (ATAT) and Automobile Technology Interest Inventory (ATII) respectively).Research questions asked were answered using means and standard deviation; hypotheses formulated were tested using Analysis of Covariance (ANCOVA) at a .05level of significance.The study revealed that students who were taught automobiles technology with CAI improved their automobile engine servicing achievement significantly.Students' interest in the automobile technology engine servicing taught during this study improved and was statistically significant.The major recommendation is that Automobile education technology teachers should improve their knowledge and skills in the use of CAI for effective teaching and learning of Automobile engine servicing technology in secondary schools.
Effects of Cognitive and Behavioural Therapies on Internet Surfing Behaviour and Text Messaging Behaviour of University Students

The study sought to examine the effects of cognitive and behavioural therapies on student's internet surfing behaviour and text messaging behaviour at the University of Cape Coast.The sample comprised 60 undergraduate regular students from three Colleges in the University of Cape Coast (College of Health and Allied Sciences, College of Humanities and Legal studies, and College of Education studies) in the Central Region of Ghana.The study was conducted using a quasiexperimental pre-test, post-test (non-equivalent) control group design.Three groups made up of two experimental groups and a control group were involved in the study.Using an adapted form of Choliz (2012) Test of Mobile Phone Dependence, the data for the study was gathered.The instrument which was in the form of a structured questionnaire was on a 5-point Likert-type scale, comprising twenty-three items.One-way Analysis of Covariance (ANCOVA) at the alpha level of .05 was used to test the hypotheses.The result was that Cognitive and behavioural therapies had positive effects on Students' Internet Surfing Behaviour and Students' Text Messaging Behaviour.Students have the ability and capacity to succeed in readjusting and controlling their mobile phone addictive behaviours using cognitive and behavioural strategies.It was recommended that counsellors should be encouraged to use either of the therapies to reduce mobile phone addictive behaviours of students.
Information Security Mechanisms and ICT Policy in Practice: A Case of the University of Namibia

As new technologies emerge in the next generation of wireless communication systems so the continued rise of cyber threats and attacks in higher education institutions.In the wake of COVID-19, however, institutions of higher learning increasingly searched for alternative ways to deliver remote education.Hence, planning for cyber security became a priority and not an option due to the new level of vulnerability posed by human factors as they utilize both licensed and open-source software and wireless devices.Based on this ground, this paper discussed pertinent points on the examined ICT policy and security mechanisms as security practices and strategies implemented by the University of Namibia's Directorate of Information & Communication Technology Services before and post the sudden shift to remote learning.It further proposed alternative strategies to curb vulnerabilities as an element of human action.Key findings show that security breaches do happen mostly due to end-user errors and not always technical issues.A qualitative research method with a random sampling technique guided the study.Virtual interviews and a survey have been used to gather data from security specialists, academics, and administrative staff.Data got analyzed in themes.It has been concluded that both people and technology are essential in information security structure.Increased awareness, training, and improved security practices are the key solutions.
A Dynamical Systems Model for Face Perception

The fusiform face area, or FFA, is a small region found on the inferior (bottom) surface of the temporal lobe.It is located in a gyrus called the fusiform gyrus.Studies in humans have shown that the FFA is sensitive to both face parts and face configurations.Recoding activity in the FFA showed that most of the neurons in the FFA are active in response to facial imagery, but not in response to images of other body parts or objects.Visual sensory neurons sensitive to a face feature and possessing a related firing rate activate an associated cluster of neurons in the FFA.This results in a partition of the FFA into clusters that respond to the various facial features.Once an entire face stimulus activates the FFA, interneurons redistribute the initial activation via the neural network.In this article a novel approach to modelling the function of the network is presented.We define by a transition matrix that describes probabilistically how one cluster, firing at a synchronous rate, affects the others in the FFA.The initial face stimulation in the FFA together with the transition matrix defines a dynamical system which possesses a stationary probability function.We claim that a stationary probability function uniquely represents a face.Among the properties of this probability function are: 1) response magnitude invariance, 2) repurposing of clusters to define new stationary probability function on the FFA partition; 3) stability of stationary probabilities under perturbations.
Importance of Library and Information Communication Technology Standards in the Digital Era: An Analytical Study

The information standards and specifications are very important for providing better services to the end-users.In this case, almost all the levels of library activities the standards and specifications should maintain.The network-based library automation is the main task to maintain, the overall work process within the library and information centers.In this article, the author focuses on the specific library standards used for operating the network-based library automation-related process.There are many standards and specifications are available for library and information systems, resources, services, and other areas.This paper highlights the important areas of ICT based LIS standards like bibliographical data, metadata, information processing, and retrievals, networking, digital library, internet, and Web, etc.This study focuses on the Information and Communication based Library and Information Science international standards used by the library professionals to organize, processes, maintain, operate, and disseminate the quality of products and service to the end users.With standards and specifications Library and Information Science professionals can easily maintain the overall processes and functions of a library work without more effort.This article focus only few standards and specification but there are many number of technical and performance standards not covered in this article.
An Analysis of Corona Virus Disease (COVID-19) Predictors: Logistic Regression Model Approach

Although Corona Virus disease (COVID-19) is a contagious disease cause by severe acute respiratory syndrome which affects mostly people whose immune system are weak or not resistance to the disease, there exists no vaccine that is 100% effective for its cure though efforts are being intensify by researchers in discovering the vaccine as well as model for prediction of Corona Virus Disease.In this era of advanced information and communication technology, as well as evidence-based medicine, statistical modeling has become as necessary the medical practitioners who are interested in lasting solution to diagnosed problems.In this work a logistic regressions model has been proposed to serve the purpose.The data was obtained from Nigeria Centre for Disease Control (NCDC) and was analyzed using binary logistic regression model in which Corona Virus disease was considered as categorical dependant variable (COVID-19 status: chance of being positive or negative) and the predictors considered are; Age, any of either Headache or Vomiting, Fever, Sore throat/runny nose, Any of Cold, cough or sweating, Loss of Smell or taste, and Breathing Difficulties.The results shows the significant predictors for predicting Corona Virus Diseases are; Loss of Smell or taste, Breathing Difficulties, Fever, Sore throat or runny nose, Age, any of either Headache or Vomiting, and Any of Cold, cough or sweating.The logit model obtained was: Logit (P(y=1)) = -3.748+ 0.356 Age +2.938 any of either Headache or Vomiting + 0.752 Fever + 2.792 Sore throat or runny nose -0.028Any of Cold, cough or sweating + 1.872 Loss of Smell or taste + 0.844 Breathing Difficulties.So also from the same results, it was found among predictors that; Sex/Gender, Temperature >37.5 degree and Fatigue or Muscle Pain were not good predictors of Corona Virus disease.
Implementing Auto Highlight Writer by Predicting the Best and the Worst Players in a Baseball Game

To discover any biases that the sports media have, such as preferring and mentioning certain teams more often impartially, we recorded the statistics of Toronto Blue Jays players, and also collected the news and highlights articles of the team.Because baseball especially regards statistics as significant, the project tried to determine whether the medias' focus on certain players is related to their performance or their fame and popularity in the first part of the project.The project first created a word cloud based on the keywords from the game highlights articles.In the statistics, we chose the best and worst player of the day for every game solely based on the statistics, and one interesting point we found was that some of the players who were chosen the most as the best player were also chosen often as the worst player depending on the day.We compared the list of names mentioned most often from the news and the ones we chose, and the two had some names in common while there were also questionable names from the news.Then, to develop a machine learning model that will select the player of the game after analyzing the statistics, we used a heatmap to identify the key factors of choosing the best player.According to the heatmap, for a batter, key elements were RBIs and hits, while for a pitcher, it was Innings Played and Runs allowed.We tested multiple machine learning models to see which model had the highest accuracy, and after several trials, a model named Logical Regression appeared to predict the player of the game based on statistics most accurately.Also, a sentence bank was created for the computer program.A sample sentence was provided to the program so that the program can put the statistics of each game in the sentence and write a written summary.With a sentence each for each player, the program could write a summary of every player, and also pick and write who the best and worst players of the game were.
The use of Block chain Technology for document verification

Forging of documents from the original copies have become popular these days. And, if we want to view or verify a document, we have to be physically present at the office of the issuing authority as the documents are stored in their respective database. All these processes are not feasible, and if performed is time consuming and very inefficient in economic perspective. The documents are stored in the issuing authorities Database, it can be affected by any natural or manmade disasters, in such cases all the data will be lost. The storage of documents in a block chain makes it much cost and time effective and the verification of these documents becomes easier in terms of time. The block chain is a network of connected computers on which the ledger of the documents is maintained, so it becomes hard for any person or entity to forge the documents. The whole system cannot collapse at once so it becomes a type of immutable system for storing documents and the block chain property of distributed ledger system will help to keep the documents unmodified and unaffected forever. Blockchain may be a localized, digital ledger system that is the inspiration upon that Bitcoin and alternative cryptocurrencies operate. Blockchain uses a good network to stay track of digital transactions, like cryptocurrency, it’s brought up as a sequence as a result of additions or changes are superimposed linearly and connected along.
Metaverse and its Challenges in India

Digital Development in India is growing rapidly but only within the urban areas and not in rural areas, not much people are aware of metaverse. There should be awareness and plans regarding the govt initiative to develop smart villages in rural areas thanks to all the shortage of basic resources in rural areas people cannot connect with others via a telephone where the services like WIFI-calling and video calling comprise a luxury category. People in rural areas have the habit of being old style where they like meeting nose to nose rather than a video call or telephone. To inculcate in them the habit of using a digital medium of communication initially basic facility is required. When all the essential services like electricity and internet connection are going to be provided in every corner of the country all the people may be able to use this virtual medium of communication called metaverse. While the urban areas are digitally more developed only few people have used or would really like to use metaverse this might flow from to the shortage of information or fear of privacy issues.
PENINGKATAN INOVASI GURU MELALUI PENGUATAN LITERASI INFORMASI DAN EFIKASI DIRI

INCREASING TEACHER INNOVATION THROUGH STRENGTHENING INFORMATION LITERACY AND SELF-EFFICIENCYTeacher innovation is closely related with new knowledge, methods and strategies as well as learning service. Those aspects are very important to support the achievement of national education as well. This study aimed to find out that there was a relationship between teacher innovation increase with information literacy and self-efficacy strength. This research was conducted with a quantitative approach using correlation analysis and SITOREM analysis. The research was carried out in 7 public high schools around Cibinong, Bogor Regency. The population of the study was 178 civil servant teachers. The results of the study as the following conclusions: 1) there was a positive and significant relationship between information literacy and teacher innovation (ry1 = 0.662), 2) there was a positive and significant relationship between self-efficacy and teacher innovation (ry2 = 0.643), 3) there was a positive relationship between information literacy and self-efficacy together with teacher innovation (ry12 = 0.801). The efforts that need to be improved in order to increase teacher innovation are; 1). utilization of information to solve problems, 2) introduction of required information, 3) commitment to goals, 4) creating new ideas in learning, 5) optimizing learning services, 6) developing ICT, 7) improving/renewing ideas in learning.
ANALISIS PENERAPAN PEMBELAJARAN ONLINE PADA SISWA

ANALYSIS TO THE APPLICATION OF STUDENTS ONLINE LEARNINGAnalysis to the Application of Students Online Learning . This study was a qualitative research with an analytic descriptive approach.This was a Thesis of the Elementary School Teacher of Education Study Program, Faculty of Teacher Training and Education, Pakuan University, Bogor, 2020. The purpose of this study was to analyze the application of online learning of grade III-A students at Cilubang 04 Elementary School, Bogor Regency which was carried out on the odd semester of the 2020/2021 Academic Year. The subjects of this study were all students of grade III-A. Data collection technique were conducted using observation, interviews and documentation. The results of this study indicated that students who followed online learning were facing several obstacles and difficulties. The obstacles and difficulties happened whenever the internet network connection was facing problems for several times or difficult to access the internet that prevents students from participating the program. There was also the lack of understanding of students' parents about the online program and some parentsdid not have cellphones, that preventing. students to follow online learning activities. Student concentration was disturbed whenever they were getting bored with the ongoing online learning and wanted to play with friends or watching television program that broadcasted variety interested entertainment program. And that was why it was hard to the students to understand the learning material. When students started to get bored and indolent to pay attention, teachers and parents should give motivation so the students enthusiasticallyfollowed the onlinet learning and more diligent. Whenever students got difficulty in understanding the subject matter provided, students directly asked the teacher or ask their parents to guide them during taking online learning. The learning or teaching method that utilizing by teacher during conducting online learning was by sending the subject matter through WhatsApp groupcompleted with instructional videos that attracted students' learning interest. Teacher also gave an assignments or questions through the WhatsApp group so the students must work on time as specified by the teachers.
Evaluation and Optimization of Cloud Resources

they work very well as worker nodes. The cost-structure and transient nature of EC2 services makes them inappropriate for some CMS production services and functions. We also found that the resources are not truely 'on-demand' as limits and caps on usage are imposed. Our trial workflows allow us to make a cost comparison between EC2 resources and dedicated CMS resources at a University, and conclude that it is most cost effective to purchase dedicated resources for the 'base-line' needs of experiments such as CMS. However, if the ability to use cloud computing resources is built into an experiment's software framework before demand requires their use, cloud computing resources make sense for bursting during times when spikes in usage are required.
Development of Learning Media E-Booklet Science Literacy Based Improving Students' Critical Thinking Ability on Immune System Materials

The material on the immune system is one of the most difficult materials for students. In view of this, the use of technology as a medium of learning on immune system material is one way to help students apply the scientific process by building students' critical thinking levels. This study aims to develop and analyze the application learning media -e-booklet of scientific literacy based to be effective and able to improve students' critical thinking skills on immune system material. The research method used is Research and Development (RD) using the model FourD. This research was carried out in January-October 2021. The subjects of this study were students of class XI MIPA 4 in one of the public high schools in Bogor Regency for the academic year 2020/2021 as many as 36 students. The field trial was conducted in a limited manner using a research design one group pretest-posttest. The results showed that the learning media -e-booklet scientific literacy based developed had a very valid/feasible category with a percentage of 83.2%. For the feasibility test, three media and materials experts and two high school biology teachers were used. Critical thinking questions that have been validated also have a very valid category with an index of 0.83. The Learning media is -e-booklet scientific literacy based also able to improve students' critical thinking skills from moderate to high levels with a percentage of 38.00% and an average n-gain of 0.66.
Anomaly Detection in the LINAC

the first time, we demonstrate the successful use of domain adaptation on two very different observational datasets (from SDSS and DECaLS). We show that our method is capable of bridging the gap between two astronomical surveys, and also performs well for anomaly detection and clustering of unknown data in the unlabeled dataset. We apply our model to two examples of galaxy morphology classification tasks with anomaly detection: 1) classifying spiral and elliptical galaxies with detection of merging galaxies (three classes including one unknown anomaly class); 2) a more granular problem where the classes describe more detailed morphological properties of galaxies, with the detection of gravitational lenses (ten classes including one unknown anomaly class).
An Enhanced and Reliable Cloud Trust Protection Model for Privacy Data

The vulnerability of Cloud Computing Systems (CCSs) to Advanced Persistent Threats (APTs) is a significant concern to government and industry. We present a cloud architecture reference model that incorporates a wide range of security controls and best practices,and a cloud security assessment model – Cloud-Trust – that estimates high level security metrics to quantify the degree of confidentiality and integrity offered by a CCS or cloud service provider (CSP). Cloud-Trust is used to assess the security level of four multi- tenant IaaS cloud rchitectures equipped with alternative cloud security controls and to show the probability of CCS penetration (high value data compromise) is high if a minimal set of security controls are implemented. CCS penetration probability drops substantially if a cloud defense in depth security architecture is adopted that protects virtual machine (VM) images at rest, strengthens CSP an cloud tenantsystem administrator access controls, and which employs other network security controls to minimize cloud network surveillance and discovery of live VMs. Keywords: - Cloud Computing, Trust, Trust Management, Trust Models, Privacy, Trust metric, enables CSPs to start, stop, move, and restart
FPGA IMPLEMENTATION OF PRESENT ALGORITHM FOR IOT APPLICATION

IoT is a global network with dynamic capabilities that use standard communication protocols. Security is the process of securing data as they are transmitted and exchanged among objects which can reduce the limitations. Cryptography is an important algorithm means in security that can be defined as converting plaintext into ciphertext.The algorithm of cryptography provides a high- level security but does not concern itself in hardware requirements like power consumption, computation cost, and memory overhead. To solve these challenges, special algorithms are designed and called light Weight Cryptography to be suitable for resource constrained devices. The goal of light Weight Cryptography is to reduce the overall implementation cost of traditional encryption, through several aspects such as area, throughput, latency, and power and energy consumption. Recently, several algorithms have been proposed for LWC. Comparing with different circumstances, we observed that PRESENT has much competence and many advantages. Several basic attacks PRESENT but all know attacks are ineffective. Given the importance of IoT security in this project, we are focusing on improving the S-Box implementation for essential measures such as power consumption and performance using Xilinx tool and spartan 7 and Artix 7 device. Software Tools:  Xilinx Vivado 2020.2  Quartus Prime and Modelsim Key Words:Cryptography, Lightweight Cryptography, SBOX, PBOX, Key Rounding, PRESENT Algorithm