Reviewerly/exHarmony huggingface dataset:
Job satisfaction and organizational commitment. A case study: Professors and administrative staff of the Al Dar university college

Job satisfaction and organizational commitment that play a very important role in the growth and survival of organizations and reduce delays and layoffs of employees and increase the level of efficiency and effectiveness in organizations.The study, entitled "Investigating the Relationship between Job Satisfaction and Organizational Commitment from the Perspective of Professors and Administrative Staff of the Al Dar University College is a descriptive-correlation al study.Its main purpose was to study the relations hip between job satisfaction and organizational commitment.The statistical population is the professors and staff of the Aldar University College.Due to the small number of professors and staff of this institution, all of them (53) have been included in the research.In this study, the required information was collected by two questionnaires of job satisfaction and organizational commitment and was analyzed using software and its descriptive and inferential results are described in the tables which in the Descriptive method describes the variables of satisfaction.Job (nature of work, co-workers, growth opportunities and payments) and organizational commitment variables (emotional commitment, continuous commitment) and in inferential analysis by correlation test or Pearson correlation to test hypotheses and analyze the relationship between Job satisfaction and organizational commitment are addressed.The results of the research show that the majority of the employees of this institution are satisfied with their work; but they are not satisfied with the behavior and attitude of the supervisors.On the contrary, the majority of the employees of this institution read the behavior of their colleagues as friendly and satisfied.The majority of the employees of this organization have said that there is no suitable opportunity for growth and promotion.The majorities of the employees of this institution are interested in this organization and consider the problems of the organization as their problems; but they do not see the current organization as suitable for securing their future, and they will leave the organization if they are offered a better job elsewhere.The results showed that the majority of the faculty and staff of this organization are below the level of job satisfaction (supervisors, growth opportunities and payments) and are below the level of continuous commitment.Regarding the hypotheses, the research showed that there is no relationship between the nature of work and emotional commitment.There is a significant relationship between the behavior of supervisors and normative commitment.There is no significant relationship between employee behavior and normative commitment.There is a significant and positive relationship between growth opportunities and pay and continuous commitment.There is a positive and significant relationship between job satisfaction and organizational commitment of the professors and staff of the Aldar University College.
Penerapan Model Pembelajaran TGT (Teams Games Tournament) dengan Permainan Ludo terhadap Hasil Belajar Siswa

The purpose of this study is to describe student learning outcomes after the teacher applies the TGT (Teams Games Tournament) learning model with ludo games. This research was conducted at MA Raudlatul Ulum Klampis on class X-MIA students, amounting to 24 even semester students. This research is quantitative descriptive. For data collection using research instruments in the form of student learning outcomes test sheets. The data collected in this study were test data on student learning outcomes after participating in the learning process using the test method. After the data was obtained, the data that had been collected were analyzed using descriptive analysis techniques, namely the analysis of student learning outcomes tests which were analyzed using the completeness of individual learning outcomes and classical learning outcomes. Students are said to be complete individually if they get a value of ≥65 and a class is said to be classically complete if they get KKM in the class totaling ≥65%. The conclusion of this study is that the application of the TGT learning model with the game of Ludo has an effect on student learning outcom
Investigating Afghan students attitude and motivation toward learning English language at Shaheed Rabani Education University

English as a foreign language has been taught from school level up to university classes in all academic institutions of Afghanistan.As an English teacher I have experienced different levels of students who are learning this language for various purposes.For most of students English is still a challenge to learn and speak.The main purpose of this study was to investigate about attitude of students toward learning this language.This paper will discuss on discovering what Afghan students at Shaheed Rabani Education University think about English language and how their attitude affect their learning process.Finally, it was found that however of the negative stereotypes regarding English language that it is the language of western countries and Afghan students are not interested to learn it, it was found that students are passionate enough and interested enough to learn and communicate through this language.It means it was finally found that most of students at Shaheed Rabani Education University had a positive attitude and motivation toward learning
Liberty under Indian constitution regarding speech and expression: A bird’s eye view

The freedom of speech is the matrix, the indispensable condition of nearly every other form of freedom, it is the well spring of civilization and without it liberty of thought would shrivel.Public decency and morality is outside the purview of the protection of free speech and expression and thus a balance should be maintained between freedoms of speech and expression and public decency and morality.
An analytical study of cybercrime awareness among adolescents of district Srinagar

Cyber related risks are a global threat of bloodless war.Due to tremendous use of information and communication technology, cybercrimes are increasing day by day.The internet is one of the most sophisticated technologies created in the contemporary world.Besides, I the conflict zone of the world cybercrime has provide ample space for propagating the unethical usage of internet.In pursuance to same, the aim of the study was to explore the cybercrime awareness among male and female adolescents of Srinagar District of central Kashmir.Cybercrime awareness scale developed by Shalom Saini, Parminder Kaur ( 2008) was used for data collection.300 male and female adolescents were selected from different educational institutions of Srinagar District.The collected data was put to suitable statistical treatment by using Frequency Distribution, Percentage, Mean, S.D and 't' value.The results of the study indicate that there is significant difference between male and female adolescents on their level of cybercrime awareness.Male adolescents were observed with high level of cybercrime awareness as compared to female adolescents.
A review on the comparable analyses of SQL injection: attacks, vulnerabilities, and their detection techniques

Background: The concept of SQL injection is indeed a technique that exploits a security vulnerability that occurs in the application layer of a database.The attack takes benefits of weak input validation in code and website administration.It allows attackers to get illegal access to the back-and part of the database to modify the intended application which generate SQL queries.Method: This paper does a review on comparable analysis to find out more on different types of attacks, vulnerabilities and their detection techniques. Conclusion:According to the reviews which we have done researchers have offered several solutions to address SQL injection challenges.In addition to this, many of them have limitations and mostly cannot address all type of injection problems.More to this, several new types of injection attacks have arisen in the last several years.To better avoid such attacks, specifying and knowing existing techniques and methods are very important.In this research paper we discuss and review all types of SQL injection attack as well as different techniques and tools which can detect or avoid these attacks.
Role of information technology in increasing educational data accuracy

Information technologies have influenced each part of human action and have a potential task to carry out in the field of instruction and preparing, exceptionally, in separation training to change it into an imaginative type of understanding.The need of new innovations in instructing learning process becomes more grounded and quicker.The data age turns into a period of information giving sound and unequaled attainability to disclosure, trade of data, correspondence and investigation to reinforce the instructing learning process.Information advances help in advancing chances of information sharing all through the world.These can support the instructors and understudies having exceptional data and information.Precise and right data is fundamental for powerful instructing and learning; and data advancements are "set of devices that can help give the opportune individuals the correct data at the ideal time."Students are autonomous and they can settle on most ideal choices about their examinations, learning time, spot and resources.Students can work in synergistic and intuitive learning conditions successfully conveying, sharing data and trading thoughts and learning encounters with all in the earth.
Symbolism in frost's poetry

Frost is a great regional poet and the scenes and sights, characters and events of New England form the basis of his poetry.He does not depict all even of this limited region.There is a constant selection and ordering of material.Even of New England, he deals only with the region that lies North of Boston, and of this region, too, only with the countryside and country-dwellers.The result of this sifting and selecting of material is that his regionalism acquires a symbolic significance.The region of North of Boston becomes a microcosm of the world at large, and his Yankee characters become symbolic of human nature in all ages and countries.Emotional responses of his dramatis personae acquire a deeper significance as being symbolic of basic human responses.For example, the emotional agitation of the mother in Home Burial, and the fate of the servant in The Death of the Hired Man, are symbolic of the emotional stress and strain, isolation and alienation, which are the lot of humanity in the modern age.In this way, he is able to embody vast concepts and infinite depths within little space.Vast vistas are thus presented to the mind's eye, and the effect created is one of unlimited expansion.It thus becomes possible to read even the simplest of his poems at a number of levels.
Robotic Process Automation ( RPA) in Healthcare

Robotic process automation (RPA), a forthcoming technology revolution, intends to reduce people’s daily workloads by getting rid of tedious and repeti- tive tasks. The scientific community is now able to conduct a wide range of new types of study in this area, which opens up a whole new universe of possibilities. Compared to robotics, it is a very different kind of technology. RPA is a rela- tively new and quickly growing sub-field of robotics. The healthcare and phar- maceutical industries produce a large amount of data, or what we may refer to as ”medical big data,” making it all the more important to analyse and assess this data when it comes from different sources. The main features would include managing appointments, patient scheduling, managing claims and automating medical claims, Invoice Processing, Healthcare Inventory Management, per- sonalized healthcare, Automation in the contact centre and Management of the Treatment Cycle. The extra feature proposed in this model is the mental health monitor system. In this study, we reviewed the most recent studies on mental state monitoring, concentrating primarily on those that use sensors to collect behavioural data and machine learning to analyse that data. we provided a classification taxonomy that, in our opinion, will aid new researchers in this subject in comprehending the general structure of such systems.
Block Chain Based Disk Space Rental System

Now a day’s electronic devices such as computers, smart phones and cameras produce enormous volumes of data each day, which require more and more storage resources. In order to fulfill this necessity, cloud storage renting sys- tems were created. Cloud storage renting disk space allows people to expand their storage capacity without having to buy and maintain additional hardware. It can help users save money on hardware and reduce the need for physical space in their home or office. It can also be used to store large amounts of data in a secure and cost-effective manner. Renting disk space also allows for easier sharing of data between multiple users, making collaboration easier and faster Cloud storage renting disk space allows people to expand their storage capac- ity without having to buy and maintain additional hardware. It can help users save money on hardware and reduce the need for physical space in their home or office. Another issue with such systems is lack of trust.To overcome these problems we use block chain technology in disk rental system. This system is designed to be a peer-to peer services where users can rent out disks to each other without the need for a third party immediately. We use the smart con- tracts which automate the rental process Here we used Proof-of-Work (PoW) consensus algorithm. This algorithm is used to verify transactions and add new blocks to the chain and also solve complex mathematical problems. If this system is implemented it Enhance security, Transparency, Lower cost, Automa- tion, and improved efficiency. Finally the system also provides a renting system to ensure that users are able to easily identify and reliable disk rental.
The Effectiveness of Using Webtoon Applications in Teaching Reading Comprehension at The Eighth Grade of SMP Negeri 11 Mataram

Reading is an essential skill in the English language as it significantly impacts learning and facilitates the exploration of information. It enables us to acquire new knowledge, and broaden our perspectives, Grabe &amp; Stoller (2013) contend that reading is a complex and dynamic process that involves considering, understanding, translating, analyzing, and discovering knowledge. Students often encounter multiple challenges when learning reading comprehension, such as limited vocabulary, inadequate time to comprehend the material, and disinterest in the teaching methods employed by educators, so this study aimed to investigate whether the use of a webtoon application as a medium has a significant effect on the achievement scores of second-grade students in literal reading comprehension. The research method used in this study is quantitative, and the researcher conducted a quasi-experimental study to investigate the impact of using Webtoon media in the teaching process. The treatment provided to the experimental group, which received instruction with the use of Webtoon media, while the control group did not receive any special treatment. The results of the study indicated that there was a noticeable difference in the pre-test and post-test scores, with an increase in the mean score from 60.46 to 73.86. Therefore, it was found that webtoon application is effective in teaching reading to improve reading skills, especially students' reading comprehension. The significant effect implies that when the material was presented through the Webtoon application, students became more engrossed in the content, leading to better comprehension of the text.
Breast Cancer Classification Using Machine Learning

Manual determination of breast cancer takes a lot of time sometimes weeks or months and is perilous with a high pace of morbidity, mortality and can involve human error. an early assurance will help the treatment of this sickness. So, determination of breast cancer using machine learning model result in quick identification of tumor. This research paper focuses on early determination of breast cancer as benign or malignant. with the help breast cancer dataset, the research paper aims to produce a better decision-making visualization pat- tern through swarm plots and heat maps. To accomplish this, we utilized Light GBM Calculation and furthermore contrasted our model’s exhibition and other surviving ML models specifically Logistic Regression, Gradient Boosting Algo- rithm, Random Forest Algorithm and XG Boost Algorithm. We were able to achieve the highest accuracy of 97.07% with the Light GBM Algorithm.
Evaluation of Blockchain Service Level Agreement (SLA) Using Hyperledger Fabric (HLF)

Different sectors are being revolutionized by distributed ledger technology. According to the 2022 market valuation, Hyperledger is now the second-largest blockchain platform for smart contracts. The creation of numerous apps may be sped up and simplified with smart contracts, but there are certain draw- backs as well. For instance, vulnerability contracts are created intentionally to weaken candor, smart contracts are employed to conduct fraudulent activ- ities, and there are many redundant contracts that squander the efficiency of the system for no real reason. To solve these problems, we provide in this research Service Level Agreement(SLA) for Hyperledger smart contracts. We created Hyperledger smart contracts and focused on how smart contracts and consumers used data. By manually analyzing the transactions, we were able to extract four behavioral characteristics that may be used to differentiate between various contract types. Then, a smart contract is built using these to include 14 fundamental functionalities. We provide a data splitting algo- rithm for splitting the gathered smart contracts in order to create the experi- mental dataset. Then, we train and test our dataset using an LSTM network. The comprehensive experimental findings demonstrate that our method can dis- criminate between various contract types and may be used to identify malicious contracts and detect anomalies with acceptable precision, recall, and F1-score.
Evaluation of Feature Engineering Techniques for Improving CVE Vulnerability Classification

This paper presents a three-stage approach to analyzing Common Vulnerabili- ties and Exposures (CVE) vulnerability datasets using machine learning tech- niques. In the first stage, K-Means clustering, and Linear discriminant analysis (LDA) topic modeling are applied to identify distinct clusters and topics within the dataset. The Elbow method is used to determine the optimal number of clusters for K-Means, while Grid Search is used to find the best topic model for LDA. After labeling 100 random samples from each cluster, the data is split into training and testing sets for use in various classification algorithms in the third stage. The paper contributes to the field by proposing a novel approach to analyzing CVE vulnerability datasets that combines clustering and classi- fication techniques. The use of K-Means clustering and LDA topic modeling allows for the identification of distinct clusters and topics within the dataset, which can be used to improve the accuracy of classification algorithms. The study highlights the importance of using pre-trained word embeddings and dis- cusses the limitations of the proposed approach. Overall, the paper provides valuable insights into the analysis of CVE vulnerability datasets and offers a framework for future research in this area.
PENGARUH METODE BERMAIN PERAN TERHADAP KETERAMPILAN BERBICARA PESERTA DIDIK KELAS IV DI SD N 79 / VI SERINGAT KABUPATEN MERANGIN

The problem that forms the background of this study is the low Indonesian speaking skills of class IV students at SDN 79 Seringat in Indonesian content in learning the theme 8 sub-themes 1. In an effort to overcome this problem, it is necessary to apply the role playing method to Indonesian content. The purpose of this study was to determine the effect of the role playing method on the Indonesian speaking skills of students in the Indonesian language content of class IV SDN 79 Seringat. This study used a Pre-Experimental design with a One-Group Pretest-Posttest Design. The population in this study were all students in class IV at SDN 79 Seringat, while the sample used was students in class IV at SDN 79 Seringat, which consisted of 15 students. The sample in this study was taken using a saturated sampling technique. The data collection technique was taken using an observation sheet, the results of the observation data were calculated and compared based on the analysis with the validity test using the size validity test with the same sample (pairs) the result was 12.669. Based on these values, it can be seen that the value of tcount &gt; ttable (12.669 &gt; 2.145), then there is a difference between the pretest and posttest. the reliability test using the method repeated technique obtained a result of 0.894. Based on these values, it can be seen that the r-statistic value &gt; from the r-table value of moment products (0.894 &gt; 0.054), then there is a significant difference between X and Y. Then test the hypothesis through Excel 2010 at the level of 0.05. The results of the analysis of observational data from hypothesis testing on paired t-test of two sample means with a significance level of 0.05 show the results of sig. P(T&lt;=t) two-tail is smaller than a or in the equation 0.000 &lt;0.05, then H0 is rejected. Based on the results of the analysis of the observational data, it can be concluded that the role playing method has a significant influence on Indonesian Speaking Skills in the Indonesian language content of Grade IV students at SDN 79 Seringat, Merangin Regency.
Pengaruh Model Pembelajaran Inkuiri terhadap Hasil Belajar Siswa PAK-BP Siswa Kelas VIII di SMP Frater Don Bosco Tomohon

This paper is the result of quantitative research to answer the question of the influence of the inquiry learning model on the learning outcomes of PAK-BP grade VIII students at SMP Frater Don Bosco Tomohon, as well as to determine whether or not there is an influence between the inquiry learning model on student learning outcomes. This study uses a survey method which aims to determine the effect of variable X on variable&#x0D; Y. To find out this, calculations are used using the slovin formula so that the sample used in this study is 53. This data collection technique is made by spreading 25 items questionnaire statements and 25 test items in the form of multiple choices. As for testing data analysis using validity and reliability tests using IBM SPSS 16.0 For Windows. Based on the results of testing each variable, there is a positive and significant influence between the inquiry learning model on the PAK-BP learning outcomes of students in class VIII with a coefficient of determination of 0.445 with a percentage of 44.5% and is in the medium category with a significance level of 0.000 with an average score the average inquiry learning model of 81.55 is included in the very strong category, and the average score of PAK-BP learning outcomes for class VIII students is 79.38 included in the good category. This shows that there is an influence between the variables of the inquiry learning model on the learning outcomes of PAK-BP grade VIII students at SMP Frater Don Bosco Tomohon by contributing as much as 44.5%