Reviewerly/exHarmony huggingface dataset:
Financial Management Information System Analysis Regions With Importance Performance Analysis Method

The rapid development of information technology has required every agency or organization to use the system in order to keep up with the times. With the existence of the Regional Financial Management Information System at the Office of Cooperatives, Small Medium Enterprises, Trade and Industry in order to facilitate performance in using it. This study aims to identify, analyze, and evaluate the Regional Financial Management Information System based on 2 dimensions, namely importance and performance with 4 aspects of the method (IPA) namely system quality, information quality, service quality and user satisfaction. Data was collected by distributing questionnaires to 6 users, with the final results of data analysis, management, and validation stating that each aspect has its own satisfaction. So the end result is a recommendation on every aspect in order to get a very good satisfaction. From the results of data processing obtained with a total score of 434 performance with an average of 3.61 and a total score of 467 expectations with an average of 3.83. With the acquisition of the respondent's score of 92.93%, it is in the very good category interval. So the quality of the Regional Financial Management Information System at the Office of Cooperatives, Small and Medium Enterprises, Trade and Industry has been declared good.
Monitoring DUNE Data Streaming Efficiency

present a detailed performance evaluation ofour system using a complex query workload for analyzing real networktraffic data. The combined system uses TelegraphCQ to analyze streams oftraffic information and FastBit to correlate current behaviors withhistorical trends. We demonstrate that our system can simultaneouslyanalyze (1) live streams with high data rates and (2) a large repositoryof historical stream data.
Hubungan knowledge sharing dengan inovasi pengelola taman baca masyarakat di Jawa Barat

The world is now facing the phenomenon of hypercompetition, where working procedure is required to change to be more dynamic and modern. This phenomenon covers all aspects, including Indonesian library world and Indonesian literacy. Faced with new problems, Indonesian library world and Indonesian literacy has actually been trying to solve its old issue: the low level of Indonesian literacy. Community Reading Park (TBM) exists with the aim of increasing the level of Indonesian literacy. However, many newly established TBMs tend to be static and traditional, which are no longer relevant to modern times. West Java Community Reading Park Forum (West Java FTBM) is present to help TBMs stay relevant with present situation. In its activities, West Java FTBM applies Knowledge Management in general and Knowledge Sharing in particular. This study examines the role of Knowledge Sharing and how much it relates to innovation in TBM managers. Knowledge Sharing itself has two dimensions, namely; Knowledge Donating and Knowledge Collecting. The population in this study was West Java FTBM, with a sample of 67 TBM managers. The method used was quantitative with correlational analysis, and hypotheses testing was done by testing Knowledge Donating, Collecting, and Sharing with Manager’s Innovations. The research results of Knowledge Donating, Collecting, and Sharing each had relationship with Manager’s Innovation, with the coefficient of determination, sequentially, 17.47%; 20.88%; and 27.66%. This shows that Manager’s Innovation in West Java FTBM was not created solely because of Knowledge Sharing, but many other factors affected it, one of which is the length of one's experience in managing TBM. In the future, the implementation of Knowledge Sharing in West Java FTBM is expected to be even more dynamic by expanding references to things innovated and collaborating with other communities, this is to add a new point of view for TBM Managers in West Java FTBM
Boosted with Online Learning to Improve English Language Teachers’ Proficiency

Language teaching and learning have been significantly transformed by the advent of online technology. Learning and information-gathering have been dramatically boosted by technology. Owing to online learning, physical geography is no longer a major obstacle. However, there has not been much study to portray online technologies and online learning improving teachers’ proficiency in the English language. With this in mind, the purpose of this study was to investigate the extent to which online learning has improved teachers’ language proficiency. About 201 teachers from eight districts in Malaysia were enrolled in an online course. The study was conducted online for three months. Data was collected from an evaluation survey obtained at the end of the period. Responses gathered based on descriptive analysis of the course content, overall experience, and comments derived from the survey was then analyzed from the data. The findings revealed that the teachers are very positive towards the course and found it constructive in enhancing their professional development. The results also indicated that teachers have also improved their language component upon being enrolled in the course. These documents that all the language skills have been enhanced, and they are very motivated. Therefore, future research should focus on a specific language component in order to gain a deeper insight of continuum from this study.
The Use of Two Stay Two Stray (TS-TS) Strategy to Improve Reading Comprehension of Report Text of The Eleventh Grade Students at SMAN 10 Makassar

The Statistical Package for the Social Sciences (SPSS) was employe to make the data was easy to anylized. After calculating all the scores, then the t-test was applied to know whether there was an improvement or not on the student’s skill in reading comprehension of report text. The findings showed that there was a significant difference in pre-test and post-test. The mean score and standar deviation in pre-test (M=61.0, SD=7.5) and post-test (M=78, SD=9.6). The result of data analysis was implied that two stay two stray (TS-TS) strategy had contribution to improve the students’ skill inreading comprehension of report text. Based on the research findings, the researcher was concluded that using two stay- two stray was effective to enhance the students’ skill in reading comprehension of report text at eleventh grade students of SMAN 10 Makassar.
Analysis of Main Roadways Network within Al-Hilla City

The roadway's network analysis is an efficient method that can help to determine the traffic volume's effect, such as traveling time. Al-Hilla is one of the urban centers that suffers from heavy crowding during the peak hours (7:30 – 9:30) AM and (1:30 – 3:30) PM due to a vital center. For this reason, the high traffic will increase traveling time, which will lead to several problems such as large traffic jams, accidents, a high rate of pollution, and others. Two software are used to overcome this problem, namely, Sidra and Geographic Information Systems (GIS 10.7), for roadway network analysis by collecting different data types. The results show that the high traffic volumes of vehicles and the inadequate infrastructure are among the main reasons for the increase in congestion, leading to an increase in the traffic capacity of the roadways, which in turn causes an increase in the travel time network.
Limitation of Doctor's Liability to Patients Based on the Value of Patient Safety

This study aims to determine the comparison between students' mathematical critical thinking skills taught with macromedia flash interactive learning media compared to PowerPoint media. This type of research is an experimental research. This research was conducted at SD Negeri 101788 Marindal I. The population in this study was students of SD Negeri 101788 Marindal I. While the samples in this study were 27 students in class IV/a and 27 students in class IV/b. The data collection in this study used a mathematical critical thinking ability test. The research hypotheses were tested using independent sample t-test data analysis techniques. The results showed that: (1) There was a significant difference between students' mathematical critical thinking skills taught with interactive learning media macromedia flash compared to powerpoint media (Fcount = 4.005; sig. = 0.004); and (2) The average mathematical critical thinking ability of students who are taught with interactive learning media macromedia flash is higher than the powerpoint media with a Mean Difference value of 7.40. In other words, it can be said that there is a significant effect of the application of interactive learning media macromedia flash on students' mathematical critical thinking skills.
Webscraping and APIs Using Python for Social Scientists

Helge-Johannes Marahrens is a doctoral student in the department of Sociology at Indiana University. He recently earned an MS in Applied Statistics and is currently working toward a PhD in Sociology. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP).Anne Kavalerchik is a doctoral student in the departments of Sociology and Informatics at Indiana University. Her research interests are broadly related to inequality, social change, and technology.
Preparing Students for ETD Format Review: A Discussion of Workshop Best Practices

A number of Graduate Schools and Libraries hold ETD workshops in order to make the Format Review process efficient and successful. However, crafting an effective workshop can be challenging and specific to institution type. This presentation will review case studies of workshop practices at three mid-size universities: Ohio University, a rural public university; North Dakota State University, a land-grant public university; and St. John’s University, a private Catholic university. We seek common themes in presenting successful workshops and identifying challenges. Providing workshops is a promising practice that is beneficial to both students and staff in facilitating a smooth completion of the ETD formatting and submission process. Given constraints of time and resources, workshops can be a significant shift in practice. Managing ETDs solely through the review process has proven to be limited whereas workshops have improved outcomes for both Graduate Schools and Libraries. Session outcomes include a robust discussion of the benefits of providing regular workshops to our target audience of graduate students. Participants should come away with an understanding of how three institutions utilize workshops, accompanied by the input of other participants. Attendees will have access to our workshop curricula, training materials, and website links.
IMPACT OF CHANGES IN THE RULES OF ADMISSION TO UNIVERSITIES ON THE COMPOSITION OF FIRST-YEAR STUDENTS IN ST. PETERSBURG UNIVERSITIES

The article considers the impact of the introduction of the unified state exam on the composition of the 1st-year students of Saint Petersburg universities. The influence on the regional composition, gender composition and admission of preferential categories of applicants is considered.
Permainan 3d Tentang Makanan 4 Sehat 5 Sempurna Untuk Anak

In the concept of 4 healthy 5 perfect, healthy food is food that contains 4 sources of nutrition that is staple food, side dishes, vegetables, fruits, and perfected with milk.kind knowledge of healthy foods by children resulted in them indiscriminate snack Which affects the deterioration of their health so that interfere with their learning activities in school. Therefore the authors are interested in making educational games as a medium of learning for children using 3D animation so that children can play while learning to know and understand about the perfect 4 healthy food 5.
No dine-in but you can still tuck in

Soon after the movement control order was implemented in Selangor recently and dine-ins were restricted, restaurant owner Jacqueline Ong spotted some people eating takeaways in their cars.
The Correlation between EFL Students’ Attitudes towards Their Writing Ability

This study aims at examining the relationship between students’ attitude towards their writing ability. This study employed quantitative study by using Pearson-product correlation. The samples were randomly selected 35 students out of the total population 70 students in one senior high school in Bandung. The Data were obtained through questionnaire with regard to attitude and writing proficiency which are appropriate with several criteria of each writing element to scrutinize the correlation between students’ attitude and writing skill ability. The findings indicate that attitude has moderate correlation (.456) with students’ writing ability. In other words, it is obvious that attitudes are very essential for students to increase their writing ability. The English teachers are suggested to figure out the prominence of attitudes to their students for it has been found that attitudes is able to significantly contribute to the students’ writing ability.
The vitreous refugee

Taking the example of smartphones, the article discusses the impact of digital technologies on refugee trajectories considering the ambivalent potential of technologies to generate simultaneously new opportunities for refugees’ agency and new structural constraints regarding their mobility and actions due to control capacities. It therefore aims to offer a deeper discussion of the empowerment-control nexus and promote a better understanding of the various intersections that are developing between digitalization and migration/mobility patterns. The article is based on a qualitative research approach. Linking the individual level (the need of refugees to use smartphones for communication, information and orientation) to the political level is an emerging international market of surveillance and security technologies that has developed in recent years. Technology firms have contributed to develop and to promote the digital turn in surveillance and security-focused practices based not exclusively on the physical body, but on the digital devices as ‘extended bodies’.
PERWATAKAN PROTAGONIS TOKOH ZAHRANA DALAM NOVEL CINTA SUCI ZAHRANA KARYA HABIBURRAHMAN EL-SHIRAZY

The purpose of this study was to describe the protagonist's character Zahrana in Habiburrahman El-Shirazy's Novel of  Cinta Suci Zahrana . The protagonist of Zahrana in Habiburrahman El-Shirazy's novel  Cinta Suci Zahrana  is honest, humble, clever, and independent. This research falls into the qualitative descriptive. Qualitative descriptive research is a type of money research used to understand the phenomena experienced by subjects by describing words and language using data from research results in a novel. The data in the novel is in the form of quotations from aspects of the protagonist's character in character Zahrana contained in the novel  Cinta Suci Zahrana  by Habiburrahman El-Shirazy. The result of this study is a description of the aspects of the protagonist character of the character Zahrana in the novel  Cinta Suci Zahrana  by Habiburrahman El-Shirazy. Quotes about the protagonist's character are depicted in the character of Zahrana, which includes honest, humble, clever, and independent. As for the quotes depicting Zahrana has an honest personality, as many as 21 quotes, quotes that describe humble as many as 34 quotes, quotes that describe clever as many as 21 quotes. Self-described quotes as many as 12 citations with the number of sources obtained peer to 88 citations. Keywords : literary work, novel, protagonist character
Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services

: Cervical cancer is the least unsafe tumor that develops in a woman’s abdomen. Cervical cancer is a two-form disease, normal condition and abnormal condition. Both show similar patterns of nucleus and cytoplasm. There are seven stages in a cervical cancer, which includes superficial squamous, intermediate squamous, columnar epithelial, mild dysplastic, moderate dysplastic, severe dysplastic, and carcinoma in situ. The prediction of a cervical cancer stage is very difficult, leave alone if a person is affected by tumor or not. In such a case, statistical analytics and machine learning algorithms are very helpful to predict the state of the cancer in early stages. The main focus of this chapter is in analyzing the various deep machine learning algorithms and finding the best performance measure that gives the maximum accuracy level for prediction of cervical cancer. Statistical models of size, shape, and structure are most important for feature extraction from Pap smear images. From the dataset, 237 samples were collected and used for developing an applied mathematics model to analyze the texture variation and study the correlation between shape and texture. Various classifiers were implemented and compared under machine learning algorithms to measure the accuracy level. This proposed article has been analyzed from three kinds of environments, such as data analytics, big data, and digital image processing. The entire execution of this chapter has been implemented using MATLAB R2016a.
Improved Finite State Machine Step Detection Algorithm for Smartphone

To solve the problems in pedestrian dead reckoning algorithms for indoor positioning, of which the step recognition accuracy for step detection is not high enough, the synchronous control is not precise enough, and there is a large location deviation. An algorithm of improved finite state machine step detection for the activity of flat holding smartphone was proposed. A finite number of states were set to correspond to the trend of resultant acceleration variation during walking. Step detection and step cycle estimation were realized based on adjacent resultant acceleration difference and several thresholds of climbing and descending times. Experimental tests were conducted by two testers in 211 meters corridors with flat holding smartphone, respectively. Experimental results show that the accuracy of two step detection tests are both 100% by using the improved algorithm. It is 0.004 seconds earlier on average than the actual time for each step. And the average location error is 0.384m. Compared to the auto-correction analysis and acceleration differential based on finite state machine algorithms, the accuracy of step recognition, synchronous control and location estimation are improved at least 0.7%, 60% and 21.15%, respectively. The proposed algorithm behaves better than the existing algorithms in the aspects of the step recognition, the synchronous control and location estimation.
DEVELOPING FORENSIC SCIENCE CAPABILITIES IN NIGERIA: CHALLENGES AND PROSPECTS

The need to integrate investigation actions with forensic capabilities is increasingly becoming inevitable in the developing world so as to overcome challenges posed by security crisis on development. Efforts aimed at improving forensic science capabilities in Nigeria seek to address the growing needs of criminal investigations to achieve durable solutions to various security issues in the country on a long-term basis. For a contextual understanding of the challenges hampering criminal investigations and the prospects abound for Nigeria’s forensic capabilities, this paper examined gaps in the investigative actions used in addressing security issues like insurgency, murder, theft, rape, etc. Such actions deploy the use of stale methods and tools based on older technologies rendering many either as victims or survivors of unresolved crimes. The first Nigeria’s DNA forensic center was established in 2017; earlier DNA analysis requirements were performed abroad. Therefore, the area of forensics is still plagued by inadequate devices and manpower for effective analysis. This article used secondary qualitative reviews and opportunity theory to explain the role of forensics in crime prevention and control and the promotion of national security. Thus, examining the implications of the gaps in forensics in hampering effective investigations is paramount. More efforts especially by government on the adoption of forensic services by respective relevant agencies would impact on saving life, liberty and property immeasurably.
Assessment of Factors Affecting Social Insurance Management by Analytic Hierarchy Process Method

The purpose of this study is to evaluate the factors affecting the management of social insurance collection in Tien Giang province in Vietnam by Analytic Hierarchy Process (AHP) method.This study surveyed the opinions of 12 experts in this field including managers and chief accountants.The research results show the differentiation in the importance of the criteria for evaluating the factors affecting the management of social insurance management.The AHP analytic results show that the criteria are arranged according to the weights of priority from high to low as follows: Qualification of staff in charge of social insurance collection management, Labour and employment policy, Salary policy, Inspection, and inspection work.The implication of this study could support the policy makers in social insurance collection management.
CRIME SCENE INVESTIGATION (MURDER)

“Crime and punishment grow out of one stem. Punishment is a fruit that unsuspected ripens within the flower of pleasure which concealed it.”Ralph Waldo EmersonOn Earth, Some activities happening day by days around humanity that is unexpected and unlawful and the major challenging is murder. In this era, humans are getting stretched because of down economy, poverty, unsatisfied in life, family problems and more. These are the basic reasons for people pressurize to commit murders. However, people are smart nowadays; they will find the way to save him after committing murder.BUT, government has many criminal investigation agencies with advance technology to catch criminals and also to find the important evidences.Here, we will discuss about some fundamental advances that taken by the investigation organizations close to wrongdoing scene and furthermore how they taking assistance of innovation to uncover criminal.
Blockchain-Enabled Secure Internet of Vehicles

Smart cities provide sustainable transport ecosystems to connect autonomous vehicles through sensors and networking units. Similarly, the Internet of Vehicles (IoV) plays a prominent role in addressing issues of road safety, traffic, and the security of autonomous vehicles. Due to the mission-critical nature of IoV, it requires effective and real-time communication among Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) units. However, due to the open nature of wireless channels, an adversary can form informed attacks on IoV nodes and can cause potential disruptions. Motivated by the aforementioned facts, we present a systematic review of blockchain adoption in IoV to mitigate attacks. A solution taxonomy of potential attack vectors and the attack countermeasures are proposed. A blockchain-based certification case study is presented in the survey to build trust and secure data exchange in the untrusted decentralized IoV ecosystem. Next, we present the research challenges and possible countermeasures, with concluding remarks. The survey intends to bridge the gap in earlier surveys to address issues of blockchain adoption in IoV with a possible adversary model.