Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN SISTEM INFORMASI E-CRM UNTUK SISTEM PENJUALAN BAN PADA SURYA JAYA BAN MOBIL JAMBI

Surya Jaya Ban Jambi is one of the companies engaged in the sale of car tires and wheels as well as providing services for customers. This study aims to design an E-CRM system to improve service quality, describe the implementation of E- CRM, understand customer service procedures, and determine service quality through E-CRM at Surya Jaya Ban Jambi. This research has resulted in a tire sales information system at Surya Jaya Ban Mobil Jambi which has 2 actors, namely This sales information system has made it easier for customers to place orders, register services and make it easier for customers to place orders again.
Interactive center for the development of learning for autistic children and youth in Atlixco, Puebla

This work aims to publicize the project of Interactive Center for the development of learning for autistic youth and children in Atlixco, Puebla. Developed in the degree of architecture by student and directed by teachers of the Benemérita Universidad Autónoma de Puebla. The research methods used are of a qualitative social nature and multidisciplinary research, since concepts and theories of importance are involved in subjects such as architecture, psychology, pedagogy, psychiatry and sociology. The research began with exploration, with field research within the educational centers, with interviews and life stories of autistic children and adolescents, school administrators, teachers and relatives. In addition, the phenomenological method was used to understand the way of seeing the world of autistic children and adolescents is through subjective knowledge. We proceeded to the explanation of the subject through documentary research, bibliographic, identify the analogous cases, the analysis of the regulations and the development of the project. The first part defines autistic disorder; in the second stage the educational spaces that are responsible for supporting the autistic child or adolescent are described and in the third stage the project is described.
SISTEM INFORMASI ELEKTRONIK PELAYANAN TERPADU SATU PINTU (EPTSP) PADA KEJAKSAAN NEGERI MUARO JAMBI

Technology is a tool that is used today to facilitate human work both in everyday life and in organizations. Currently, the services carried out by the Kejaksaan Muaro Jambi in serving the community still serve conventionally and require a long time, so that the services at the Kejaksaan Muaro Jambi are still divided into several parts and lack transparency. Based on this problem, the researcher will build a service system that can be accessed at one door as stated in the One Stop Service Implementation (PPTSP) in accordance with the Regulation of the Minister of Home Affairs Number 24 of 2006 and the Circular Letter of the Minister of Home Affairs Number 188.32/498/V/Bangda concerning the Implementation Guidelines for the Minister of Home Affairs Number 24 of 2006, has goals and objectives to realize public services that are fast, cheap, easy, transparent, certain and affordable, as well as being able to improve the rights of the community in public services. Researchers have a goal to build an electronic information system for one-stop integrated services to facilitate and improve services to the public by the Kejaksaan Muaro Jambi. In building the system, the researcher will use the method in stages starting from data collection, needs analysis, system design, system design, and system implementation and testing until the system can run well. The system built can be accessed with only one portal by having many services in it without having to open service portals one by one and also the system built can be accessed from anywhere and anytime to make it easier for the public to report and get information from the Kejaksaan Muaro Jambi. The EPTSP of the Kejaksaan Muaro Jambi is very useful in improving service and employee performance as well as making it easier for the public to get information from the Kejaksaan Muaro Jambi quickly and accurately.
GAME EDUKASI PENGENALAN HURUF DAN ANGKA USIA DINI

Educational games as additional media in the process of learning and teaching early childhood in Harapan Bunda Kindergarten, Mestong District, Muaro Jambi Regency. Where in this kindergarten there is no available learning media in the form of educational games. The results of this research are expected to be used as additional references in early childhood learning. To create a quality generation, education must be carried out from an early age in this case through Early Childhood Education. This game is designed with educational elements and attractive designs for children with the aim of fostering learning motivation with simulation media in the form of games.
A Conceptual Architecture for a Quantum-HPC Middleware

Quantum computing is important for science and industry as it offers the potential to solve certain complex problems and perform calculations significantly faster than classical computers. Quantum computing systems evolved from monolithic systems towards modular architectures comprising multiple quantum processing units (QPUs) coupled to classical computing nodes (HPC). With the increasing scale, middleware systems that facilitate the efficient coupling of quantum-classical computing are becoming critical. Through an in-depth analysis of quantum applications, integration patterns and systems, we identified a gap in understanding Quantum-HPC middleware systems. We present a conceptual middleware to facilitate reasoning about quantum-classical integration and serve as the basis for a future middleware system. A key contribution of this paper lies in leveraging well-established high-performance computing abstractions for managing workloads, tasks, and resources to seamlessly integrate quantum computing into HPC systems.
Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification

Deep learning-based method for automatic identification of cervical cells has become a research hotspot in recent years. However, few studies have explored effective ways to incorporate medical domain knowledge. In this paper, we propose a novel deep learning network named intra-specimen reference network (IsrNet) for automatic identification of cervical cells, which models the relationship of different cervical cells and extracts contrastive information from the same specimen. Compared to the general classification process, IsrNet reconstructs the input format and leverages a joint loss function. In addition, we utilize weighted information entropy (WIE) to measure the diversity degree of a specific cervical cell dataset. We collect a cervical cell dataset, LandingTBS, and build four new datasets based on it to acquire data with different WIE. The experimental results demonstrate that the intra-specimen reference feature is effective and significant for cervical cell classification. Besides, IsrNet is able to extract more contrastive information among different cells from the same specimen by using the dataset with high WIE. Via mimicking the way a cytopathologist diagnoses cervical cells, IsrNet provides a simple and effective approach for high-performance identification of cervical cells.
Career Guidance Model for Digital Transformation in the Cultural and Creative Industries

Cultural and creative industries are undergoing a digital transformation. To successfully use the opportunities of information technologies, it is necessary to invest in human capital. A successful, digitally based, accessible and inclusive career guidance system is one of the preconditions for the development of countries, organizations and individuals.
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout

Federated Learning (FL) requires frequent exchange of model parameters, which leads to long communication delay, especially when the network environments of clients vary greatly. Moreover, the parameter server needs to wait for the slowest client (i.e., straggler, which may have the largest model size, lowest computing capability or worst network condition) to upload parameters, which may significantly degrade the communication efficiency. Commonly-used client selection methods such as partial client selection would lead to the waste of computing resources and weaken the generalization of the global model. To tackle this problem, along a different line, in this paper, we advocate the approach of model parameter dropout instead of client selection, and accordingly propose a novel framework of Federated learning scheme with Differential parameter Dropout (FedDD). FedDD consists of two key modules: dropout rate allocation and uploaded parameter selection, which will optimize the model parameter uploading ratios tailored to different clients' heterogeneous conditions and also select the proper set of important model parameters for uploading subject to clients' dropout rate constraints. Specifically, the dropout rate allocation is formulated as a convex optimization problem, taking system heterogeneity, data heterogeneity, and model heterogeneity among clients into consideration. The uploaded parameter selection strategy prioritizes on eliciting important parameters for uploading to speedup convergence. Furthermore, we theoretically analyze the convergence of the proposed FedDD scheme. Extensive performance evaluations demonstrate that the proposed FedDD scheme can achieve outstanding performances in both communication efficiency and model convergence, and also possesses a strong generalization capability to data of rare classes.
SISTEM INFORMASI ADMINISTRASI DENGAN METODE THROW AWAY PROTOTYPING DEVELOPMENT PADA TOKO AT SPORT

Competition in the business world is very tight, and more and more products are offered, as well as anticipating consumers for sports products or equipment, so AT SPORT Shop tries to achieve breakthroughs for change, especially in the field of technology. Previously the processing of sales data and inventory of goods had not been computerized, causing several problems, including inaccurate inspection of existing goods, frequent occurrence of lists of goods, relatively long reporting processes and errors in bookkeeping or recording of sales notes, for example writing product names, and quantity. goods. because the recording is still used it is vulnerable to the risk of paper being torn, wet by water, and lost if you are not careful in storing it. The purpose of this study is to able to design a web-based administrative information system to help improve performance in recording sales transactions, purchases, and making reports at the AT SPORTS Store. Making this information system using the Throw away prototyping method with the stages of needs analysis, prototype creation, prototype evaluation, system specifications, system validation, and system use. The description of the final results of the system can already be known at the beginning so that the prototyping process produces applications that are by the wishes and can be developed according to the needs of the AT SPORTS shop.
Are Quantum Computers Threat to Privacy?

Abstract: Quantum computers work in a fundamentally different way from classical computers. Each qubit is in a superposition of 0 and 1 and can be used to store information. Quantum computers have the potential to revolutionize many industries. They can solve exponentially more difficult problems than conventional computers in seconds. Encryption is the process of turning plain text into ciphertext using a key. By measuring the quantum register we can find the marked number. Grover's algorithm can be used to solve a variety of problems related to finding an item in an unsorted database, such as cryptography, optimization, or machine learning. The main limitation of Grover's algorithm is that it is probabilistic. This means that there is a chance that the algorithm will not find the highlighted item after a certain number of iterations. However, the probability that the algorithm does not find the highlighted element decreases exponentially with the number of iterations. The Grover algorithm is a powerful quantum algorithm with many potential applications. However, it is still only a theoretical algorithm and has not been implemented on actual quantum computers. .. Many challenges must be overcome before the Grover algorithm can be used to solve real-world problems
Community participation in cobblestone road provision

This study aimed at analyzing the effect of social capital on the level of community participation in cobblestone road provision. The study employed a quantitative approach. Samples were selected by using a probability sampling technique. From the probability sampling technique, the researchers used a stratified random sampling technique followed by simple random sampling for the selection of households. The survey questionnaire was administered for 368 sample respondents. Findings revealed that community participation was expressed more in financial terms. Participation in policy formulation, planning, implementation, maintenance and operation, and evaluation were not evident. The study shows that there is a strong and positive relationship between the socioeconomic status of respondents and social capital with the level of community participation. The study also found that there was poor communication and relationship among the municipality and kebele leaders that managed the project, and the community. The study concludes that bottom-up approaches, building an effective communication channel between the community, kebele leaders and institutionalization of participation in the City is essential. Capacity-building strategies are also required to promote community participation.
Person Re-Identification Using Machine Learning

Abstract: The goal of this research is to develop a system that can spot real-world anomalies in surveillance footage, like burglaries and assaults. Although different methods for anomaly detection have been explored in prior research, the significance of locality within the frame has not been fully explored. Given the rise in crime rates in many nations, accurate identification of people is essential for deterring and solving crimes. However, storing and processing information about suspects using conventional paper-based systems can be labor-intensive and time- consuming. This illustrates the need for more effective techniques for identifying dead bodies after a crime, which can be done using machine learning and image processing methods. Instead of using whole-frame video segments, this study explores the use of spatiotemporal tubes and presents a novel dataset for crime scene detection with bounding box supervision in both the train and test sets. The experiments show that a network trained with spatiotemporal tubes outperforms a model trained with whole-frame videos, with the locality remaining reliable even when extraction errors occur. Additionally, the network can expand the spatiotemporal crime scene dataset without the need for additional human labelling by producing spatiotemporal proposals for fresh surveillance videos using only video-level labels.
Comparative Study of Machine Learning Algorithms for Credit Card Fraud Detection

Abstract: In the present world, advancement in technologies like e-commerce and financial technology (FinTech) has led to a surge in the daily volume of online card transactions and there are a lot of issues with credit cards. Identifying CC scams is currently among the most typical problems worldwide. An individual's credit card information may be fraudulently obtained and used by criminals for fraudulent purposes. Due to this significant increase in credit card fraud that impacts banks, merchants, and card issuers, it is essential to develop mechanisms that ensure the security and integrity of credit card transactions. This research examines divergent approaches to detecting credit card fraud using machine learning (ML) Models. The algorithms used are the Random Forest algorithm, Decision Trees, and the AdaBoost algorithm. The outcomes of these algorithms are based on accuracy, precision, recall, and F1-score and AUC-ROC score. Different models are compared and the algorithm that has good evaluation metrics is considered the best algorithm that is used to detect fraud
Recognition of Phony Reviews in E-commerce Platform

Abstract: The business and commerce of today are greatly influenced by online reviews. The majority of how consumers choose which online products to buy is based on user reviews. As a result, opportunistic people or organizations try to slant product reviews in order to serve their own agendas. Now days, fake online reviews are more common, people simply post phony reviews to market their products, to cheat customers etc. In E-commerce application fake reviews are more common and we need a system to predict these fake reviews. Proposed system uses machine learning algorithm to identify the fake reviews in an Ecommerce platform. We build a new E-commerce application and customer registers themselves, browse and purchase the products. For the purchased products customers post reviews, and our system will predict the fake reviews using an algorithm.
Petrogenesis of Amphibolite/Hornblendite Dikes in Qala-Diza Area, Iraqi Kurdistan Region

The amphibolite and hornblendite dikes occur as part of the igneous complexes of Bulfat Ophiolite within the Zagros Suture Zone, NE Iraq. The igneous complex is part of the upper allochthonous ophiolite terrane within the second unit of the Penjween-Walash Subzone. This article discusses the petrogenetic characteristics and tectonic setting of the amphibolite rocks based on their petrography, mineral chemistry, and whole-rock geochemistry. Petrographically, both banded and massive amphibolites reveal that the main mineral constituents are amphibole and plagioclase with accessory clinopyroxene, opaques, sphene, apatite, rutile, zircon, sericite, epidote and chlorite; meanwhile the hornblendites consist of &gt;90% amphibole with minor amounts of pyroxene, opaques, plagioclase, titanite, quartz, apatite, zircon, and chlorite. The amphibolites are divided into two types, banded (foliated) and massive, (non-foliated). The dominat textures of amphibolites are porphyroblastic, granoblastic, poikiloblastic, nematoblastic, and blasto-ophitic; meanwhile those of hornblendites are equigranular, poikilitic, cataclastic, and intergranular. The electron microprobe analysis (EPMA) showed that the amphiboles of the banded amphibolite range between tschermakite, magnesio-hornblende and pargasite; and those of the massive amphibolites range between magnesio-hornblende and actinolite; meanwhile those of hornblendites are dominantly tschermakite with minor magnesio-hornblende and pargasite. The plagioclase of the banded amphibolites is mainly oligoclase and andesine; and those of the massive amphibolites are mostly anorthite. Chemical classification diagrams indicated that the studied rocks are had low alkalies (Na2O+K2O), tholeiitic, ultrabasic to basic, alkaline to subalkaline and divided between foidite, picrobasalt and basalt. Various tectonic discriminating diagrams showed that most of studied rocks are mid-ocean ridge basalt (MORB). The studied amphibolites have been subjected to amphibolite facies metamorphism.
Influence of Infrastructure on Implementation of E-Learning in Technical Vocational Education and Training Institutions in Uasin Gishu County, Kenya

Worldwide e-learning has emerged as a leading channel of learning but its implementation in Kenya has not been successful. Studies have noted infrastructural challenges in implementation of e-learning, an aspect the present study sought to address. The study determined infrastructural factors that influence implementation of e-learning in TVET institutions in Uasin Gishu County. The study established the extent to which the following factors affect the effective implementation: the availability of good bandwidth; quick response time in uploading and retrieving content; fast processors; high performance features on the servers; accessibility of learning management system and the availability of electronic learning equipment. The study was guided by Roger’s theory of Diffusion of innovation and adopted an explanatory research design with a target population of 94 electrical and electronic engineering trainers and 6 HoDs of electrical and electronic engineering departments from public TVET institutions from Uasin Gishu County. Data was collected by use of questionnaire, observation and interview schedule. The piloting of the tools was done in Kitale National Polytechnic to test for reliability and validity. Quantitative data was analyzed by use of both inferential and descriptive statistics using SPSS version 25 while qualitative data using themes and sub-themes. The inferential statistics used included: simple and multiple regression, Pearson’s correlation and Analysis of Variance (ANOVA) while descriptive statistics included mean, standard deviation and frequencies. From the findings, the coefficient of determination (R square) of .449 indicated that the model explained only 44.9% of the variation or change in implementation of e-learning. The study findings indicate that infrastructure (t =2.589, P&lt;.05), significantly influence the implementation of e-learning in TVET institutions in Uasin Gishu County and it is therefore important for TVET institutions to consider strengthening the infrastructure requirements for e-learning.
Maze Games in Improving Writing Ability in Early Children

The goal of this study is to learn more about the role of maze games in boosting early childhood writing skills. This article uses a qualitative approach and the data collection technique used is observation and interviews. Based on the analysis it was found that Wijaya Kusumah Kindergarten in using maze game media can be an interesting learning alternative in improving children's writing skills, carried out with children assigned to follow a predetermined path. Teachers must be creative in making interesting and fun activities to develop children's writing skills.
Direct measurement of nonlocal quantum states without approximation

Efficient acquiring information from a quantum state is important for research in fundamental quantum physics and quantum information applications. Instead of using standard quantum state tomography method with reconstruction algorithm, weak values were proposed to directly measure density matrix elements of quantum state. Recently, similar to the concept of weak value, modular values were introduced to extend the direct measurement scheme to nonlocal quantum wavefunction. However, this method still involves approximations, which leads to inherent low precision. Here, we propose a new scheme which enables direct measurement for ideal value of the nonlocal density matrix element without taking approximations. Our scheme allows more accurate characterization of nonlocal quantum states, and therefore has greater advantages in practical measurement scenarios.
The Effectiveness of the Kahoot app! on the Game Based Learning Method for Mastering the Vocabulary of SMAN 9 Pekanbaru Students

This study aims to determine the effectiveness of Kahoot! about vocabulary mastery of class X SMAN 9 Pekanbaru. This research is an experimental research with a quasi-experimental type, where the data collection instruments used are pretest and posttest control groups. There are 2 classes with 35 students in each class. The samples in this study were class X IPA 2 as an experimental class and X IPS 2 as a control class. Based on the results of the Independent Sample T Test, then Sig. (2-tailed) of 0.000 which shows that the result is smaller than 0.05 so it can be concluded that Ha is accepted and Ho is rejected, which means that the use of Kahoot! effective in mastering vocabulary class X SMAN 9 Pekanbaru.