Reviewerly/exHarmony huggingface dataset:
Sales Management System in Grocery Store Mobile Phone Based

A grocery store is a small shop that is easily accessible to the public and is located on a busy street, gas station, train station or in a densely populated urban or residential area. Most of these types of shops are traditional in nature, where buyers cannot freely pick up their own goods, usually there is a dividing screen in the form of a window or shelf. If you pay attention, actually the goods sold in grocery stores are almost similar to those sold in supermarkets such as Alfamart or Indomart, it's just that the minimarkets are modern. People often refer to this shop as a grocery store. Among the many minimarkets and modern shops in Sidoarjo, it turns out that there is a grocery store whose building is still standing up to this day, namely An Nur Shop. This shop is located in Jambangan Candi Sumokali, Sumokali, Jambangan, Kec. Candi, Sidoarjo Regency, East Java 61271, Toko An Nur is a grocery store that was founded in 1990. An Nur shop has very many customers so that the stock of merchandise is often short, this makes An Nur shop troublesome in bringing in merchandise, so it requires sales of goods to arrive the merchandise sold. Based on the problems faced, through this research activity, the E-KELONTONG application is proposed. Through the E-KELONTONG application, it will be easier for An Nur Stores to bring in products through sales with the E-KELONTONG application.The creation of this E-KELONTONG application uses a way of collecting data by retrieving data directly from an An nur grocery store, interviewing the store owner. The software used to build this E-GROCERY application is using Android Studio 3.5 and Xampp server.
Event-Triggered Fuzzy Control of Inverted Pendulum Systems

This chapter addresses the event-based fuzzy control design and its application to an inverted pendulum system. First, the time-varying delays in the inverted pendulum system and event-based method are considered in the system stability analysis. The interval of the time-delay is segmented to l non-uniform sub-intervals by applying an efficient delay-partition approach. The information in every subinterval is handled using the reciprocally convex technique. The stability conditions of the inverted pendulum model are established to be less conservative than existing research achievements.
LibGuides: Criminal Justice LibGuide: E-Books

This guide was created by Benedict College Librarian Brian Crawley to offer basic library and web resources for those studying Criminal Justice. The LibGuide offers suggested books, database, webpages and more for beginning research in the field of Crimin
Penerapan Akuntansi Akrual pada Perguruan Tinggi Keagamaan Islam Negeri Berstatus Badan Layanan Umum

This study aims to determine the extent to which the accrual basis of PTKIN has BLU status. The object of this case study research with an interpretive paradigm is one of the best UINs in Indonesia. This research contributes to accounting standard setters and poli-cy makers in government in the preparation of accounting standards. The results showed that PTKIN with BLU status had not yet fully implemented accrual accounting. In terms of definition and presentation, it has been carried out in accordance with SAP and SAK. However, the recognition, measurement, recording and disclosure still use a combination of cash basis and accrual basis. The use of accounting software "SAIBA" is proven to help in the application of accrual accounting. However, there are obstacles in the application of accrual accounting, namely: lack of competence of human resources who understand ac-counting, preparation of financial statements based on SAK that still uses excel applica-tions and financial rules that change frequently. Therefore it is necessary to conduct accru-al accounting training, create accounting applications based on SAK and always upgrade the rules of the ministry of finance.
Automatic definition of web service call zones based on the classification of context of the mobile device

Предложен метод автоматизации активации устройств Интернета вещей на основе классификации геопозиции мобильного устройства. В отличие от других методов пользователь обучает систему активации устройств с помощью примеров и контрпримеров, что значительно снижает требования к квалификации пользователя. Проведено тестирование метода на таких двух устройствах, как шлагбаум и электромеханический замок двери. Полученные результаты тестирования позволяют судить о работоспособности метода и возможности его использования в системах умного дома и города. Most IoT devices provide an application programming interface such as web service that allows controlling these IoT devices over Internet using a mobile phone. Activation of IoT devices is performed according to the status of user behavior. Both user behavior and activation of IoT devices are periodical. An activation of IoT device is often related with a user geolocation which can be defined by sensors of the mobile device. A method for automated activation of IoT devices based on classification of geolocation of mobile device is proposed. The method implements a supervised learning that simplifies automate activation of IoT devices for the end users. Existing methods demand appropriate end user qualification and require long time to automate activation. For indoor geolocation of the mobile device information from Wi-Fi access points and geolocation GPS sensor is utilized. Data of Wi-Fi and GPS sensors is used to form context of a mobile device. Based on context examples of invoking/not invoking web services the spatial areas are formed. When the mobile device context is within the web service invocation area, the web service is invoked and the associated IoT device is activated. To implement the method, an Android application was developed. The method was tested on a training set that contained 100 training examples of calling two web services: opening an electromechanical door lock and opening a barrier. As a result of testing, the accuracy of classifying the context of a mobile device was 98 percent. The results obtained can be used in the development of smart home and smart city systems.
Examining the Effect of Ethical Leadership and Positive Attitude of Managers on Creating Work Authenticity by Considering the Mediating Role of Perceived Organizational Support (Case study: employees of Islamic Azad University of Dezful)

The present study aims to examine the effect of ethical leadership and the positive attitude of managers on creating job originality through the mediating role of perceived organizational support. Method: The method of present survey is applied research in terms of its objective. In terms of the data collection method, it was a descriptive-correlational study that specifically employed causal modeling. The statistical population of this study was composed of 500 employees of the Islamic Azad University of Dezful in 2019. Out of these 500 individuals, 217 were selected as the research sample using the Krejcie & Morgan (1997) table. Standard research-made questionnaires were used in this research to collect the research data. The reliability of the said questionnaires was confirmed through Cronbach's α, and their validity was confirmed by Smart-pls software. Also, Smart-pls and SPSS16 software were used to process the collected data. Moreover, structural equation modeling (SEM) was used for confirmatory factor analysis and assessment of research hypotheses. Results: Research results suggested that managers' ethical leadership and positive attitudes had an impact on working originality. Besides, ethical leadership and the positive attitudes of managers significantly affected the perceived organizational support. Furthermore, the mediating role of perceived organizational support in the relationship between ethical leadership and positive attitudes of managers and working originality was confirmed. Conclusion: Overall, it could be said that ethical leadership and the positive attitudes of managers were evaluated through various perspectives. Also, it could be stated that the working originality component was a key factor in the sustainable development and excellence of a social institution or an organization.
An Analysis on Internet of Things (IoT) for Smart Healthcare

The rapid evolution in the numbers of devices is connected to the Internet of Things and the increase of data. Internet of Things (IoT) refers to identifying a physical object through internet. The term Internet of Things is the concept of uniting computers and networks to monitor and control devices has been around for years. Any object can be connected in internet and it can be accessible from anywhere in the world using internet. Internet of things (IoT) is a fast growing user friendly technology which allows everything to be connected together and also allows effective communication between connected things. Intelligent devices of IoT like Radio-Frequency Identification (RFID) tags, smart sensors, and smart dust are connected on large network with unique accessibility. IoT exchanges data in small seconds and also it consumes less power. It makes human life comfortable and builds a smarter world. This paper provides an overview on the role of Internet of Things in smart healthcare management.
A practical method to build-up a virtual reality building emulator

This paper presents a method for building-up a virtual reality (VR) application which emulates a real building. Some remarks on VR world technique are presented, together with its advantages and disadvantages. A design plan for the VR emulator (applied for the studied building) is also presented, together with all major implementation steps. In the final part, some simulation results in direct connection with the significant conclusions are emphasized.
THE INFLUENCE OF READING HABITSAND READING STRATEGIES ON STUDENTS’ READING COMPREHENSION ATJUNIOR HIGH SCHOOL 1 IN THE DISTRICT OFBENAI-KUANSING

CIRC is a cooperative learning program that involves a series of activities derived from research on reading comprehension and writing skill. Students work in four-member heterogeneous learning teams. After the teacher introduces a story from a basal text or trade book, students work in their teams on a prescribed series of activities relating to the story. In this research, two classes were involved; one class as the experimental group, which was treated by using CIRC method and another one as control group was taught without using CIRC method. For both experimental and control groups, pre-test and post-test were administered to the students. The data were analyzed by using statistical analysis. To know the result whether it was be statistically significant, it was analyzed by using t-test. This study investigated the effect of using cooperative integrated reading and composition (circ) method on students’ reading comprehension and writing skill. Data the research were collected from 30 students of SMAN 1 Rimba Melintang. The findings showed Reading Comprehension that the average score of the pre-test was 50.83 and post-test was 76.17. and findings showed Writing Skill that the avearge score of the pre-test was 62.63 and post-test was 74.67.Therefore, the null hypothesis was rejected and the alternative hypothesis was accepted. There was significant effect of using cooperative integrated reading and composition (CIRC) method on students’ reading comprehension and writing skill at SMAN 1 Rimba Melintang. Keywords: Cooperative integrated reading and composition (CIRC) Reading Comprehension,and Writing Skill.
Business Model Canvas : Popiah Roller Machine / Fathin Afifah Zainal Abidin

The company have the production facility for the Popiah Roller Machine meaning that the machine is build, install and repair here. In other words, this facility is important to keep the business running well.The design of Popiah Roller Machine has been done the workers as the end of the products. Product manufacturing can be done after marketing and research and development has been executed.
Training Convolutional Neural Networks to Detect Waste in Train Carriages

This research constitutes a systematic investigation of the effect of image view on Convolutional Neural Networks (CNNs) when trained to detect waste in train carriages. Additionally, this research identifies neural network architecture and training conditions for use in an automated train cleaning robot. Specifically, we investigate the relationship between the size of the CNN training dataset, whether these images are taken from a view sympathetic to the CNN application, and the effectiveness of the trained networks. Three datasets were constructed specifically for this research; a large dataset of 58,300 studio images of waste in a variety of conditions, a smaller dataset of 4,515 images taken of actual waste items on trains, and a dataset of 7,290 images of actual waste on trains used to test the CNNs. The images taken on trains were captured from the perspective of a hypothetical cleaning robot that would use these networks. Additionally, we provide a comparison of MobileNetV2, ShuffleNet, and SqueezeNet CNNs based on their suitability for implementation in an automated train cleaning system, and the optimum conditions to do so. Training with a smaller dataset of images taken from a &#x201C;robot-eye view&#x201D; resulted in an average increase in classification accuracy of 10.5%, with the largest increase being 26%, when compared to training with a larger dataset of images of waste items in various poses. ShuffleNet was identified as the optimally performing CNN for waste detection, achieving an accuracy of 88.61% when trained with a small dataset of images sympathetic to the end use. MobileNetV2 was found to perform optimally with a larger dataset of training images, even if these are less specific to the application of the network.
Analisis dan Perancangan Aplikasi Berbasis Web untuk Pengajuan Topik Tugas Akhir

Maranatha Christian University Bandung is one of the universities in Indonesia that has a Faculty of Information Technology. In the Faculty of Information Technology there is an Informatics Engineering Study Program. The thing that underlies this research is that there is currently no integration between the Practical Work courses and the Final Project courses. For this reason, this research will try to analyze and design one application that will be carried out. The hope of this research is to help the process of submitting practical work topics and students' final assignments so that data is integrated and the recording process is better because it uses a web-based application. This application is a web-based application so it can be used anytime and anywhere.
jie xi gong ye hu lian wang zai you qi xing ye de ying yong

为了持续发挥出工业互联网的优势,促进油气行业的可持续发展,本文对工业互联网在油气行业的应用进行了研究.首先,结合实际详细分析了工业互联网在油气行业中具有的优势.然后,进一步阐述了工业互联网在油气作业、工程管理、工程分析等方面的应用.
A Novel Methodology for Efficient Retrievals of Sketch Based Images using Local Binary Patterns and Generalized Gamma Mixture Models (GGMM)

The enormous work in Information technology sector met towards the development of methodologies for identifying or retrieving the images based on content. However in specific conditions narration is the best suitable way to express and hence basing the views of narration sketch based images are thus developed and utilized. These sketch based images are most useful in criminal investigations. The present article portrays a methodology for retrieving such sketch based images using the statistical modeling approaches.
Model Regresi Hurdle Negative Binomial (HNB) untuk Pemodelan Konsumsi Rokok di Provinsi Sulawesi Tengah

The average expenditure on cigarettes per capita in Sulawesi Tengah Province has increased in 2020. There are several factors that can affect a person's cigarette consumption including gender, age, education and health. To model cigarette consumption with several influencing factors can be use the poison regression model or the Zero Inflated Poisson (ZIP) model. However, the two regression models cannot solve the excess zero and overdispersion problems so use the Hurdle Negative Binomial (HNB) regression model. The results of the analysis of cigarette consumption data in Central Sulawesi Province using the HNB model provide the best modeling results compared to the poisson regression model and the ZIP model because it has the smallest Akaike's Information Criterion (AIC) value. The results of testing the factors that significantly influence cigarette consumption in Central Sulawesi Province in the HNB regression model, namely the count model are gender, age and health. Whereas in the zerohurdle model, it is gender, age and education.
ПРОБЛЕМА ПСИХОЛОГИЧЕСКОЙ ГОТОВНОСТИ К ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ В ЗАРУБЕЖНЫХ И ОТЕЧЕСТВЕННЫХ ИССЛЕДОВАНИЯХ

This study is aimed at analyzing the theoretical and practical problem of psychological readiness for professional activity. Within the framework of the study, an analytical review of scientific articles was conducted, which highlight the features of psychological readiness for professional activity. The article describes the content of various domestic scientific theories on psychological readiness for professional activity, as well as the results of research conducted in the near and far abroad. The general characteristics of the main forms of psychological readiness for professional activity are given. A number of typologies of significant components of psychological readiness for professional activity are considered as an integrative set of cognitive, motivational, reflexive and emotional processes that allow for the realization of an individual in the professional space. The author analyzes the interrelationships of psychological readiness for professional activity with various psychological phenomena, including professional identity, the desire to increase self-efficacy, communication skills, and reflexive abilities.
A secure structure for generating remote encryption keys

This paper outlines an ad-hoc architectural design and a practical implementation of a secure, distributed, fault tolerant and scalable infrastructure comprised of a distributed network of electronics hardware systems that remotely generate cryptographic keys, store them, digitally sign cryptographic transactions based on such keys, and record the transactions on a blockchain . The proposed solution is suitable to service both crypto-ﬁnance and non-ﬁnance applications, and the physical infrastructure is designed to be implemented using oﬀ-the-shelf industrial electronics, which further sustains the already scalable-by-design infrastructure architecture.
The analysis of multimodal coherence in children’s picture books: Where the wild things are

With the development of human society and technology, multimodal communication is more preferred. Children’s picture books are multimodal texts which incorporate resources of more than one semiotic system, such as language, pictures, color, and even typographical features. Therefore, the notion of discourse coherence should be extended from the purely linguistic sense to a broader multimodal sense. This study attempts to explore how various modes interact with each other to develop an integral multimodal discourse in children’s picture book: Where the Wild Things Are. Using Systemic Functional Linguistics and Visual Grammar as the analytical frameworks, the findings of this study significantly show that the coherence of children’s picture books is constructed in different meaning-making process. This study not only provides coherence strategies for children’s picture books, but also offers an effective coherence framework to other multimodal discourse.
Analysis on reading teaching material based on critical reading skill at UIN Malang

Teaching material has an important role in learning, so in providing good teaching materials, it must refer to the principles of the preparation of good teaching books, one of which is the principle of education. This study aimed to analyze Maharah al-Qiraah 2 material in Arabic and Letters Department base on the principle of education, namely: curriculum, syllabus, and suitability material content, suitability presentation of material and language used. The type research is descriptive qualitative research by content analysis. The result of this research explain from suitability of the content Maharah al-Qiraah 2 material suitable by the curriculum and syllabus in Arabic language and Letters Department that aimed to analyze the discourses in learning material. The suitability of presentation material suitable by the gradation start from easy material to difficult material, but need to choose the argumentative topics and reformulating the argumentative questions in exercises which support students to critical thingking.
Critical Success Factors For Financial Fraud Management In Government Agencies

This study aimed to identify critical success factors for financial fraud management within government agencies from the perspective of accounts preparers. Data was collected from a sample of 150 respondents consisting of account personnel from 16 government agencies in a state within Malaysia. A survey instrument that had 47 measurement items was designed to identify the level of financial fraud prevention management practised in government agencies. Descriptive statistical analysis and reliability analysis were used to analyse the data using the SPSS software. In addition, the findings for this study include organizational management of financial fraud prevention, organizational governance, effective internal control, as well as asset and financial management, were the critical success factors for agencies to achieve efficient financial fraud management. However, this study only considered the accounts from personnel within one state. Moreover, this study has provided essential information for decision-makers who are involved in the implementation of financial fraud prevention practices among government agencies. In terms of practical implications, the development of the instrument in this study could be a valuable tool to evaluate successful financial fraud management in other states within Malaysia.
3D Primary Geochemical Halo Modeling and Its Application to the Ore Prediction of the Jiama Polymetallic Deposit, Tibet, China

The identification of primary geochemical haloes can be used to predict mineral resources in deep-seated orebodies through the delineation of element distributions. The Jiama deposits a typical skarn–porphyry Cu–polymetallic deposit in the Gangdese metallogenic belt of Tibet. The Cu–polymetallic skarn, Cu–Mo hornfels, and Mo ± Cu porphyry mineralization there exhibit superimposed geochemical haloes at depth. Three-dimensional (3D) primary geochemical halo modeling was undertaken for the deposit with the aim of providing geochemical data to describe element distributions in 3D space. An overall geochemical zonation of Zn(Pb) → Au → Cu(Ag) → Mo gained from geochemical cross-sections, together with dip-direction skarn zonation Pb–Zn(Cu) → Cu(Au–Ag–Mo) → Mo(Cu) → Cu–Mo(Au–Ag) and vertical zonation Cu–(Pb–Zn) → Mo–(Cu) → Mo–Cu–(Ag–Au–Pb–Zn) → Mo in the #24 exploration profile, indicates potential mineralization at depth. Integrated geochemical anomalies were extracted by kernel principal component analysis, which has the advantage of accommodating nonlinear data. A maximum-entropy model was constructed for deep mineral resources of uncertainty prediction. Three potential deep mineral targets are proposed on the basis of the obtained geochemical information and background.
Despite Colonial Pipeline attack, likelihood of utilities sector hack has increased

A key metric that indicates vulnerability to cyberattacks has increased since the start of the year, a cybersecurity firm says.