Reviewerly/exHarmony huggingface dataset:
A methodical approach to the multi-criteria selection in the pharmaceutical technological research with quantitative factors

Aim. To analyze the existing methods for solving multi-criteria optimization problems with quantitative factors and consider the expediency of their application in the pharmaceutical technological research. Materials and methods. The theoretical and empirical methods, as well as scientific data on multi-criteria optimization methods were used in the research. Results and discussion. It has been found that when conducting the research with quantitative factors the statistical methods for processing the results of experiments are used. It has been determined that the regression analysis allows us to present the dynamics of changes in the pharmacopoeial characteristics studied from variable quantitative factors in a compact form. It has been found that regression equations enable the researcher to effectively search for optimal conditions for conducting technological operations and are local criteria for finding the optimal solution. It has been proven that the need to optimize several criteria simultaneously when developing the technology of a medicinal product allows considering the tasks of multi-criteria selection in the pharmaceutical research as a special class of decision-making problems that are on the verge between the research of operations for well-structured quantitative situations and decision-making tasks, which methods of solving differ. Conclusions. To determine the optimal solution in the course of the pharmaco-technological development, a method for finding an ideal point has been proposed as a synthesis of mathematical calculations and decision-making procedures by a researcher. The search is conducted in the range of acceptable values of variables and determines their totality, which is able to provide a set of values of pharmaco-technological criteria that is closest to the optimal option determined by the researcher. This approach involves preliminary solution of single-criterion optimization problems for each individual criterion and reduction of all to a mathematical form that determines the minimum deviation of the objective functions obtained from the optimal values.
System Expert Diagnosis Iphone Cellphone Damage Web-Based

Mobile phones (HP) or smartphones are the most popular communication tools used by the public. Based on interviews with several mobile phone users and technicians, the iPhone is currently one of the best-selling and most prestigious brands. But in reality, the iPhone user community, in general, does not understand the damage that often occurs to HP. This leads users to bring the damaged HP to the service point without knowing in advance what kind of damage occurred to the HP. The study aims to build an app to diagnose damage to web-based iPhone phones. In collecting the data needed for the study, the authors used methods of literature study, interviews, and observation. This web-based iPhone mobile damage diagnostic system application is made using the PHP programming language. The game development stage includes analysis, system design, implementation, and testing. The expert system application to diagnose damage to the web-based iPhone phone that is made can be used to find out the damage to the iPhone phone, before being taken to the service so that users know what damage is repaired. The results of system testing showed that this application is feasible and can be used as a web-based iPhone mobile damage diagnostic system application.
Fusion from a Condorcet Perspective

Abstract The fusion task is to merge document lists retrieved from a corpus in response to a query. Despite the few decades of research work on fusion, there are still no theoretical tools to formally analyze fusion methods. We use the Condorcet voting rule as a first step to this end. We then present an in-depth empirical analysis of TREC runs and existing fusion methods with respect to Condorcet. In addition, we propose two simple novel fusion approaches which are inspired by the Condorcet rule. Empirical evaluation demonstrates their merits.
Students’ perception of WhatsApp usage as an additional learning aid at a Dental College in Pakistan

BACKGROUND &amp; OBJECTIVE: Technological advancements have transformed society into a global entity; medical education is no exception. Innumerable social media platforms such as Facebook, WhatsApp, Instagram, and Edmodo encourage collaborative learning, improved communication, and knowledge-sharing. The current study aims to assess students' perception of WhatsApp as an additional educational and learning aid for communication purposes, sharing of learning materials, and as a discussion forum.&#x0D; METHODOLOGY: This cross-sectional study was carried out from July 2021 to December 2021 at Faryal Dental College, Sheikhupura, Pakistan. A standardized questionnaire was prepared and circulated amongst students of 1st Year BDS to Final Year BDS. Responses were analyzed using SPSS Version 20.&#x0D; RESULTS: The study comprised 150 participants; the majority, i.e., 62% (n=93), were females, and 38% (n=57) were males. Learning through WhatsApp was found to be useful by 90% of students. An association (p≤0.02) was found among both genders regarding the usefulness of WhatsApp as an additional learning aid.&#x0D; CONCLUSION: These days, social media is a dominant mechanism used for communal exchanges and is also utilized as an additional aid for teaching and learning purposes. Incorporating social media with conventional class teaching in medical education has evident advantages.
Application of Block-Based K-Medoids and Ward's Method to Classify Provinces in Indonesia Based on Environmental Quality Index

Environmental quality is an essential aspect of the world's sustainability. This paper presents a combination of several methods to obtain a profile of provinces in Indonesia according to the environmental quality indices. We apply the block-based k-medoids algorithm, Ward's method, and the Hartigan index to determine the number of clusters. Based on Hartigan index suggested classifying 34 provinces in Indonesia into four groups. A comparison of the mean vector of four groups using multivariate analysis of variance concluded that three areas have the best environment quality index and eight regions require serious attention to improve their environmental quality methods.
How can we make IoT Applications better with Federated Learning- A Review

Since its inception by Google, Federated Learning (FL) has been instrumental in improving the performance of a wide range of applications.Android's Gboard for predictive text and Google Assistant are two of the most wellknown and widely used FL-powered applications.FL is a configuration that enables on-device, collaborative Machine Learning.A diverse body of literature has investigated FL technical considerations, frameworks, and limitations, with several works presenting a survey of the prominent FL literature.Prior surveys, however, have focused on FL's technical considerations and challenges, and there has been a limitation in more recent work that presents a comprehensive overview of FL's status and future trends in applications and markets.We introduce the fundamentals of FL in this review, describing its underlying implementation of technologies, pros and cons, and recommendations along with privacy-preserving methods.More importantly, this work contributes to the understanding of a wide range of FL current applications and future trends in technology and markets today.
MEDIA PEMBELAJARAN BAHASA INDONESIA MENGGUNAKAN APLIKASI CANVA DI SMA N 1 KRIAN SIDOARJO

Research is development research based on basic knowledge obtained and interpreted. Use a qualitative descriptive method. The discussion this time is about using Canva as a way to learn Indonesian. Teachers need learning media to support and maintain learning. Mass media as a tool created by teachers in the classroom, there are several books on teaching methods, teachers also have to use different learning environments and adapt the material and conditions for their students. In an advanced era, technological developments are getting faster and more advanced and everyone must understand technology to support all existing activities and in the field of education. Teachers and students can use technology-based learning environments, including the Canva app. Canva is an online application that offers attractive templates, features and categories. Thanks to the various and interesting models, learning will not be boring. With the help of the Canva application, teachers can impart knowledge, creativity and skills to students so that the media can also be used in various areas of life.&#x0D;
Watermark Based on Singular Value Decomposition

Watermarking operation can be defined as a process of embedding special wanted and reversible information in important secure files to protect the ownership or information of the wanted cover file based on the proposed singular value decomposition (SVD) watermark. The proposed method for digital watermark has very huge domain for constructing final number and this mean protecting watermark from conflict. The cover file is the important image need to be protected. A hidden watermark is a unique number extracted from the cover file by performing proposed related and successive operations, starting by dividing the original image into four various parts with unequal size. Each part of these four treated as a separate matrix and applying SVD on it, the diagonal matrix is selected to determine its norm. The four norms will be processed to produce one unique number used as a watermark and this number can be developed in future by exploiting some other features in constructing watermark number other than SVD process to construct two watermark numbers, each one of them owned special methodology, for avoiding some challenges and changings in the transformation process.
Decentralized Image Sharing and Copyright Protection using Blockchain

Social media has become an integral part of our lives as Platforms like Facebook, Twitter, Instagram are conceived as a means of direct consumer interaction. Here, the problem identified is that although, these mediums have been promising their consumers some major concerns like privacy and censorship resistance, the promise has not been kept. Keeping the profitability in mind, social media platforms are risking the privacy of consumers. Centralized nature of these mediums is the main reason behind these issues. So, the objective of the project is to build an application in a decentralized way so that consumers can communicate without censorship while protecting their privacy. Keywords—Censorship, Privacy, Centralized, Interaction, Decentralized, Consumers
Empirical Analysis of Bitcoin and Major Cryptocurrencies Prices

Cryptocurrency is a relatively new phenomenon that is attracting a lot of interest. On the one hand, it is built on a brand-new technology whose full potential has yet to be realised. On the other hand, it performs similar services to other, more traditional assets, at least in its current form. The development of theoretical models of cryptocurrencies has received a lot of academic attention. Many elements have been mentioned in the theoretical literature on cryptocurrencies as potentially important in cryptocurrencies' pricing. The cryptocurrencies with a market value of over $100m between 01/01/2018 and 12/05/2021 have been selected for this research. Time series analysis has been done to investigate the price relationship between cryptocurrencies. The results pointed out as major cryptocurrencies' prices are linked to Bitcoin prices.
The Pre-service Biology Teachers' Understanding on Organic and Inorganic Waste Management

The study aimed to determine the understanding of the pre-service biology teachers regarding the importance of organic and inorganic waste management for the environment. The method used is a qualitative using questionnaire data collection method. The results showed that the pre-service biology teachers' understanding of organic and inorganic waste management was very high. However, there still needs to be more understanding of how to manage waste properly and its application.
STRENGTHENING THE POSITION OF INTELLECTUAL CAPITAL AND KNOWLEDGE MANAGEMENT IN HUMAN RESOURCE MANAGEMENT: AN OVERVIEW

Changes in intellectual capital as well as knowledge management occur as a result of technological and information developments. These changes then affect human resource management in various ways. This research looked at how intellectual capital and knowledge management can influence the development of human resource management. This research will be carried out using a qualitative approach. The data used in this study is secondary data derived from various research results and previous studies. The results of this study then found that human resource management is very important in digital technology because companies need to develop according to the current era. Therefore, people who work in the shadows as people in charge of human resource management need to have strong intellectual capital and knowledge management. The existing human resource management can develop properly by having these two things.
METODE PEMASARAN PISANG RAJA (Musa paradisiaca L) MENJADI OLAHAN NUGET MELALUI MEDIA ONLINE

This research refers to the development of nuget banana marketing methods through online media. The purpose of this research is to see how far online marketing methods can be used in the marketing process. The method used is a qualitative research method in order to get as much information as possible. This research was conducted in Tulungagung Regency because in several areas in Tulungagung there are lots of bananas and this is one of the products that can be processed into nuggets so that they have added value to the original product. The results of this study, the marketing of processed bananas into nuggets, has received a positive response from the community with many small entrepreneurs in Tulungagung Regency making processed banana products using online marketing methods through grab food and other (local) delivery services, and market places. From the development of this marketing method, it was able to boost the income of banana farmers because the selling value of these bananas experienced an increase in price.
The Analysis on the Students Brain Dominance and Learning Style Toward Their Reading Proficiency

Although based on the theory and research there is a strong correlation between left brain dominance students to their reading proficiency but the researchers were not to know are those was also having any correlation with their learning style? Then, the researcher was to intensely answer the following; 1. Was there a relationship between students’ learning preferences and reading proficiency and their left-brain dominance? 2. Was there a relationship between a student’s proficiency in reading and their right-brain dominance and learning style? The tools used a questionnaire to know the students brain dominance and learning style was administered to 111 of 3rd university students of Veteran Bangun Nusantara University, Sukoharjo, Indonesia. The students reading proficiency score were documented from the reading 2 teacher. The researcher analyzed the relationship among these variables with simple linear regression (SLR) and multiple linear regression (MLR) through SPSS 16 and interpreting the result. The word findings here become key was a correlation among students left brain dominance, visual learning style and reading proficiency of 24.2%. There was a slightly correlation among left brain dominance, auditory learning style and reading proficiency with 12.1%. There was a slight correlation among left brain dominance, kinesthetic learning style and reading proficiency with 0.2%. There was no correlation among right brain dominance, visual learning style and reading proficiency with 0%. There was only a slight correlation among brain dominance, auditory learning style toward reading proficiency with 2.4%. There was correlation among the right brain, kinesthetic and reading proficiency with 75 %
A Cognitive Approach To Predict the Multi-Directional Trajectory of Pedestrians

Pedestrian detection is one of the important areas in computer vision. This work is about detecting the multi-directional pedestrian’s left, right, and the front movements. On recognizing the direction of movement, the system can be alerted depending on the environmental circumstances. Since multiple pedestrians moving in different directions may be present in a single image, Convolutional Neural Network (CNN) is not suitable for recognizing the multi-directional movement of the pedestrians. Moreover, the Faster R-CNN (FR-CNN) gives faster response output compared to other detection algorithms. In this work, a modified Faster Recurrent Convolutional Neural Network (MFR-CNN), a cognitive approach is proposed for detecting the direction of movement of the pedestrians and it can be deployed in real-time. A fine-tuning of the convolutional layers is performed to extract more information about the image contained in the feature map. The anchors used in the detection process are modified to focus the pedestrians present within a range, which is the major concern for such automated systems. The proposed model reduced the execution time and obtained an accuracy of 88%. The experimental evaluation indicates that the proposed novel model can outperform the other methods by tagging each pedestrian individually in the direction in which they move.
Fake Review Detection using Deep Learning

In recent times online shopping has evolved rapidly, but finding a quality product in such a complex network is not a simple task. Internet reviews help users to find relevant items. But there is a high magnitude of fake internet reviews available online. So distinguishing fake and true reviews is an important task for both customers and suppliers. Because in the customer perspective they require a quality product and in the supplier perspective, they need to sell their product. Generally, positive reviews on a targeted product would increase its sales. To determine fake reviews this paper compares the reviews of several reviewers from Yelp dataset of restaurants and proposes a deep learning approach to detect fake reviews. The proposed deep learning model is tested with benchmarked datasets and results are evaluated. The experimental results show improved performance compared to the existing deep learning models.
Pros and Cons of Merkle Tree

The Merkle trees are a type of structure that provides for the efficient and secure authentication of vast amounts of data and is a key component of blockchain technology. This is used in distribution systems to ensure that data is authenticated effectively. This technology is used by Ethereum and Bitcoin. It is incredibly efficient because it uses hashes instead than whole files. The Merkle tree is an essential component of blockchain technology. It’s an arithmetic data structure made up of hashes of various data blocks that serves as a summary of all transactions in a block. It also enables well-organized and secure content verification in large amounts of data. It also aids in validating the data’s consistency and content. Merkle Trees are used by Bitcoin and Ethereum.
Crypto Using Web 3.0

Abstract: Web 2.0 and now Web 3.0 has created great heights in the face of the Internet industry. The distance from Web 1.0 to Web 2.0 has been covered for almost a decade. But soon after Web 2.0 a new Web 3.0 evolved which has not only raised the level of interest but also many questions among developers, users, and regulators. Do we need it at this stage, what are the forcing factors, how it is different from Web 2.0 and the Semantic Web, what are its social, moral, and security implications, is it only about personalization, all these questions have made Web 3.0 popular among its stakeholders. In this paper, the primary focus will be on the relationship between Web 2.0, Web 3.0, and the Semantic Web while the second will be on the rising security concerns about rapid and sequential Web developments. However, the changing business models in the future of Web 3.0 will also be highlighted
An INTRANET-Based Web Application for College Management System Using Python with Django Web Framework

Abstract: The TECH-STAT-VIEW is a cutting-edge online intranet program with significant implications for universities and academic institutions. This system allows departments or the whole university to track and monitor student attendance in real time. It also provides a platform for viewing and searching college-related information, as well as receiving updates on grades, leaves and staff attendance. Staff employees have the ability to easily upload and download information to the database. Users must first register and be allowed access based on their identification as a student to the specific staff member in order to fully utilize the system's capabilities to view or modify information. The intranet-based TSV platform's ultimate goal is to provide easy access to information at all levels of organizational management, acting as a complete knowledge and information management system. Using the Django framework, developers may create a strong and scalable web application with a user-friendly interface that is simple to maintain. The Python programming language, with its many libraries and tools, provides the resources required to create sophisticated and feature-rich programs. The Python programming language and the Django framework work well together to create a college administration system that satisfies the demands of current educational institutions.
A Development of E-learning-Based Pocket Books to Improve Students' Cognitive Ability

The aim of this study is to develop a set of pocket book teaching materials that can improve students' cognitive abilities in basic science concepts. This research is included in the type of research and development (Research and Development) using the Borg &amp; Gall research and development model. Research and development is a process to develop a new product or improve an existing product that can be accounted for. The products developed in this research are pocket book teaching materials and poster learning media based on E-Learning in the basic science concepts course. The results of the study found that students' cognitive results were known to have difficulty in answering questions given by the teacher during the learning process, because students before learning did not read the pocket books that had been provided, so there was a lack of knowledge and insight in answering questions given by the lecturer