Reviewerly/exHarmony huggingface dataset:
PERANCANGAN SISTEM INFORMASI AKADEMIK SMA PERTIWI 2 PADANG MENGGUNAKAN BAHASA PEMOGRAMAN PHP DAN MYSQL

Technology is growing rapidly in the midst of society today, making people competing to master and implement it in everyday life such as students. Students are entitled to master the current technology activity, not just to earn income or mere skill, but science is currently used for things that lead to advancements and skills that are useful for the future. Similarly, the teachers and students, for the ease and smoothness of teaching and learning process, it takes a simple system application and can help the learning process in teaching and learning activities. With the development of technology in the world of computerization and application of Academic Information system applications in SMA Pertiwi 2 Padang can help manage academic data effectively and efficiently because it can be accessed online and academic data stored electronically.
Enhancing Security Features for IoT Devices by Integration with Block Chain Technology

System of bodily hubs or "matters" joined with hardware, programming, sensors, and linked to enact articles to move information from servers, included frameworks, or doubtlessly distinctive associated devices depending on a numerous correspondence foundations may be actualized with net of factors (IoT) version. IoT facts gathered from various sensors, hubs and government are moved to the cover over the net. The principle target of IoT protection is to ensure thriller of the statistics, and make certain the assurance of the consumer's statistics, frameworks, software program's facts substance, and smart machine's of the IoT, via manner of ensures the administrations accessibility of IoT organic gadget. The number one purpose of this exam article is to enhance protection highlights to IoT device becoming a member of with rectangular chain. The significance of Bit-coin the usage of rectangular chain innovation, which changed into at that factor set up for a few, financial nicely well worth exchanges because it have been. Anyhow, because of its Non-delivered collectively engineering, agile corruption and cryptographic defend benefits, for instance, pseudonymous personalities, statistics trustworthiness and take a look at, scientists and safety professionals round the sector are concentrating on the rectangular chain to decide coverage and protection issues of IoT. In this article, we have positioned a few right down to earth problems which can be associated with the becoming a member of of IoT devices with the square chain. At closing, we endorse a course ahead to determine a part of the large difficulties to the rectangular chain's utilization in IoT based totally software program.
Equilibrium Analysis of Famous Hammer and Scale Problem

The hammer and scale problem was prevalent on social media platform like Facebook and Instagram few years back. This question is still one of the most challenging physics problem often named as 'physics or strong glue'. In this document, detailed analysis of conditions of equilibrium is carried out using static approach by science of engineering mechanics. The entire thesis is conducted by analyzing free body diagrams of each individual member of setup and then stability curve is plotted in order to visualize stability ranges for the system. Afterwards, equations for getting optimum parameters are derived which are necessary to obtain for attainment of equilibrium of system. Finally the procedure for entire calculation is shown followed by the special case of attaining stability with help of glue is described. Keywords: Center of gravity, center of mass, line of action (L.O.I) of force, normal reaction, seat of normal reaction
Managing the Student Results using Block Chain to Facilitate all the Stakeholders of Educational System

This paper expounds the use of Blockchain to record marks of students as it is very tedious to record and verify candidate’s credentials for academia and employer purpose. We find it very difficult to maintain the student marks for any college or university. Any educational institution is duty bound to provide the student results at any point of time. Result of a student can be challenged at any point of time. So, any institute is supposed to store and maintain the results over a period of time. In this paper, an attempt has been made to solve some of the difficulties of students’ result management system. Now education uses Bitcoin technology to record credentials. We have used Block chain technology to record student’s achievements in a cheap, secure and public way. It is also beneficial for employer to spend valuable time checking educational credentials by having to call universities or to pay a third party to do so. In this paper, we have used ethereum as the underlying blockchain due to its large scalability and ease of use. For development, we used Truffle to develop smart contracts and integrated it with the frontend using Web3JS. For deployment, our smart contracts on the blockchain network, we have used Infura and frontend will be deployed on Heroku for user interaction. My block chain is currently on Ropsten Testnet.
Geochemistry and Petrogenetic Relationships Between Pegmatites and Host Rocks in the Keffi Area, North Central, Nigeria

Keffi pegmatites area which contains numerous mineralised and non-mineralised pegmatites lie between the Wamba pegmatite field to the NE and Nasarawa pegmatite field to the SW on the North Central Pegmatite belt of Nigeria. In Keffi area exploitation of deposits is currently being done by small scale miners, whose activities are haphazard and uncoordinated, because of that information on the geology and petrology that will enable a systematic study of the pegmatites in the area is scanty. Systematic geochemical investigations of the pegmatites and surrounding host rocks aimed at establishing petrogenetic relationships amongst the various rock types in the area were conducted. Major, trace and REE investigations of the pegmatites and associated granitoids have indicated petrogenetic relationships amongst the pegmatites and between the pegmatites and surrounding granitoids of Keffi area. Also, the variation diagram of major, trace and REE in whole rocks and K-feldspar samples show patterns which categorised the pegmatites of Keffi area into; (1) Non-mineralised, (2) intermediate and (3) mineralised pegmatites. It was also deduced from the geochemical characteristics (variation diagrams in major and trace element, REE geochemistry and tectonic environment classification) that a genetic model based on the evolution of melt by partial melting of metasedimentary protolith during ultrametamorphic and deformational activities (anatexis) is proposed for the granite-pegmatite system of Keffi area. This information will be useful as guide for fruitful exploration of the pegmatites and serves as model for the exploitation of pegmatite veins in similar geologic settings.
Penerapan Artificial Intelligent Rough Set dalam Pengawasan Kinerja Notaris

The Regional Supervisory Council (MPD) has the authority to conduct periodic checks on notaries. In carrying out supervision there is no clear legal or regulatory basis on how the notary performance assessment is categorized as very good, good or bad so there is no common perception from MPD members. The purpose of this study is to help MPD find the assessment category in monitoring the performance of the notary public in West Sumatra. To get the assessment category, the Rough Set method can be used to analyze the performance of a notary public. The data used in this study is the data notary examination at the Regional Office of the Ministry of Law and Human Rights in West Sumatra. This study produced 18 rules to get a decision whether the results of the notary performance check are very good, good or not good. So this research is very appropriate to be applied to get the results of the examination of notary performance.
Imageem: Pre-Trained Encoded Vector Embeddings for Image Modelling

Today some of the most intriguing challenges posed in the field of AI, is the lack of computational resources required to train the deep learning models, especially the image related problems. These Image modelling problems are solved by training a Convolutional Neural Network (CNN) which is computationally expensive process. Our aim is to extract the features of the images by training on these vector embeddings locally and then deploying it in the server for easy access to the researchers. The proposed system provides high dimensional vectors that capture dense features of objects. Pre-trained word embedding is a common way of representing words in a vocabulary present in a document. These embeddings have the capability to capture the context of a particular word in a sentence or an entire document, in relation with words other than the one under review. A popular algorithm for training these word embeddings is skip-gram model proposed in Word2Vec architecture.By using these trained vector embeddings of popular image models, researchers can download them and apply it to their use case which will reduce their training time by a thousand fold. Our aim is to make it so simple for the user that he can train it on edge devices like raspberry pi, jetson nano, these pre-trained vectors image models of high accuracy can be trained on even mobile phone processor.
Analysis of Emotional Intelligence Level of Class IX Students of SMP Negeri 1 Dukuhseti, Pati Regency

Emotional intelligence is the ability of a person to know himself better and to know others so that he is able to establish harmonious relationships with others. Students who have high emotionality will be able to overcome the various problems they face and achieve success. This research uses quantitative research and is analyzed using descriptive research method with sample t-test technique tryout used. One variable in this research is emotional intelligence. The population in this study is 68 students. The sample of this research uses a random sampling method). with a specific purpose. The sample is taken as many as 68 students. The data collection uses a Likert scale. The data analysis method is assisted by using the SPSS (Statistical Product and Service Solution) program. A total of 12 students or 17.65%, have a low level of emotional intelligence, as many as 30 students or 44.12% have a moderate level of emotional intelligence, as many as 24 students or 35.29% have a high level of emotional intelligence and as many as 2 students or 2.94% have a very high level of emotional intelligence. At the moderate level is k the fact that knowledge of emotional intelligence is still rarely provided by formal education in improving students' emotional intelligence abilities.
PEMODELAN KEBUTUHAN GIZI PADA BALITA DENGAN ARTIFICIAL NEURAL NETWORK

An information on the data is not easily obtained if the data is not presented well. The nutritional needs of toddlers are important to be studied to get an information about growth of these toddlers. This research studied the nutritional needs and its factors by using Artificial neural networks (ANN) model. These factors are toddler's age, gender, weight, height, activity. Nutrition data for children under five years old was obtained from interviews at 47 Posyandu locations. The results showed that the resulting ANN model gave quite good results where the error value generated was 0.024
PENGEMBANGAN E-MODUL IPA TERPADU BERBASIS PROJECT BASED LEARNING MATERISTRUKTUR DAN FUNGSI JARINGAN TUMBUHAN KELAS VIII SMP

E-modules are teaching materials that are considered innovative for learning. as an innovative teaching material, the e-module should be developed by the teacher himself to suit the character of the students and the learning methods to be used. the objectives of this study are four, namely: to find out how the level of needs analysis for the e-module science media as a medium for learning science material on the structure and function of plant tissue for class viii smp/mts, to find out how the prototype of the development of the e-module ipa as a medium for learning science material structure and the function of plant tissue for class viii smp/mts, to find out how the results of expert validation of the e-module science media as a science learning media material on the structure and function of plant tissue for class viii smp/mts, to find out how students respond to the e-module ipa as a medium learning science on the structure and function of plant tissue for class viii smp/mts, to find out how the e-module of science is suitable as a medium for learning science on the structure and function of plant tissue for class viii smp this research was conducted in a junior high school 6 bengkulu city in april 2021. the method used in this study was the research &amp; development (r&amp;d) method of development. validation carried out by material experts, linguists and media/design experts as well as validation by a science teacher showed that the product developed was very feasible to use. the results of this study indicate that the e-module is suitable for use in teaching and learning activities in schools.
Response to interactive Comments by Anonymous Referees

The discussion paper currently under review has important scientific and policy implications.Scientifically, the paper argues that a simple, mathematically based, conceptual model can accurately estimate two contributions to U.S. ozone design values (ODVs) in the northeastern U.S.: the first from U.S. background ozone, and the second from enhancements produced by photochemical ozone production from U.S. anthropogenic ozone precursor emissions.Assuming that the first is constant and the second is decreasing exponentially allows these two contributions to be estimated separately.I believe that this is currently the only observationally based approach for estimating
COMPARISON MODELS OF MACHINE LEARNING FOR MOVIE RECOMMENDATION SYSTEMS

The trend of the Internet makes the presentation of the right content for the right user inevitable. To this end, recommendation systems are used in areas such as music, books, movies, travel planning, e-commerce, education, and more. One of the most popular recommendation systems in the world is Netflix, which generated record profits during quarantine in the first quartile of 2020. The systematic approach of recommendations is based on the history of user selections, likes and reviews, each of which is interpreted to predict future user selections. This article provides a meaningful analysis of various recommendation systems, such as content-based, collaborative filtering and popularity. We reviewed 7 articles published from 2005 to 2019 to discuss issues related to existing models. The purpose of this article is to compare machine learning algorithms in the Surprise library for a recommendation system. Recommendation system has been implemented and quality has been evaluated using the MAE and RMSE metrics.
CHALLENGES OF CONTEMPORARY SCHOOL FROM THE PERSPECTIVE OF FUTURE TEACHERS

Globalization, technological development, and migration are just some of the factors the modern society is facing, with its many challenges that inevitably affect the field of education. Many authors find that society, as we know it, is in the process of profound transformation which, firstly, brings about the need and necessity to reflect the knowledge and competencies needed to live and work in the future, and secondly, encourages new forms of education and teaching to enhance these competencies. In doing so, the question is whether schools are following these trends and if teaching methods are moving from conventional to more modern pedagogical approaches. The aim of the article is to identify the views of the students of the Faculty of Education, University of Primorska on the knowledge and competencies that would be indispensable for teachers in the future
OUTLINE OF A FIRST DATABASE COURSE

Most Computer Information Systems programs require at least one database course for their majors.This paper describes a case study of a first database course in which multiple database platforms were introduced throughout the semester.The course was made more difficult in that half of the students had an extensive background in database design and the other half had no database background at all.This made the course even more challenging for the instructor.Students were first taught Microsoft Access while learning database basics including entity relationship diagrams (ERD).They then moved to MySQL for beginning SQL and finally learned Oracle and more complicated queries along with PL/SQL.Students were also expected to apply the traditional database concepts to actual database storage problems by creating an individual project using MySQL.Each database platform, Access, MySQL and Oracle presented various challenges to the students.This approach to teaching a beginning database course gave the students a great deal of SQL experience and allowed them to be more confident of their skills in that area.They were able to compare the programming of various tasks, such as triggers, using different platforms.They gained an appreciation for the similarities of the different platforms and were able to apply a concept learned on one database platform to another platform, something they will encounter in the real world after graduation.
Better Communication Tool for Specially Disabled

Sign language is widely used when a dumb communicates. However, non-sign-language people find it difficult in interpreting them. So, we had come up with a system that enables speech impaired to speak with an artificial voice in public communities using Artificial intelligence techniques. we propose a hybrid-weighted metric known as weighted pruning in deep convolutional neural networks. In this work, we report experiments of weighted pruning. we show that using a weighted pruning strategy we can achieve significant speed up in Faster RCNN object detection model by discarding 50% of filters. In this paper we show evidences to our claim by reporting mean Average Precision of weighted pruned CNN is slightly higher than existing pruning techniques. The former part of the paper focus on moulding convolutional neural networks in terms of their speed and scalability for deploying them on mobiles, embedded and further small gadgets. The latter part of the paper describes novel approaches in letting dumb speak as fast as normal person in public, without time lapse using natural language algorithms and recommendations.
Use of Problem Tasks in Development of Independent Creative Activity of Students

This article was written with the aim of improving the development methodology for students of independent creative activity based on the use of problematic mathematical problems based on the elements of problematic varied mathematical problems, the structure of prognostic and qualimetric parameters based on mathematical thinking is determined, and the assessment of the level of students' creative activity is concretized and systematize the content and organizational structure of the development of creative activities of students according to did to the actual features of problematic mathematical problems and improved priority in interdisciplinary relationships, taking into account their dynamic characteristics, including improving methodological opportunities to increase the level of motivational, sensual - emotional, communicative development of students' creative activities based on the integration of teaching methods aimed at creativity, critical assessment, forecasting , independent thinking, as well as electronic software tools for simple differential equations and geometric problems. And accordingly, to develop scientific and methodological recommendations for improving the development process of students' creative activity based on the integration of interactive and traditional methods aimed at solving problematic mathematical problems.
Service component recommendation based on LSTM

Service component selection is a core problem in software development process. With an enormous number of components available, it is often difficult for the developer to select the most appropriate one, as he or she might not be aware of all the possible business scenes ahead of time. Taking these challenges into consideration, we propose a deep learning-based system that automatically recommends service components based on component selection history during the software development process. We employ a sequential model with two long short-term memory (LSTM) layers and two fully connected layers, using SoftMax as an activation function, to predict the next service component. The model was trained, validated and tested on dataset with more than 120,000 examples from a real-world software company. The proposed network outperforms the baseline methods in terms of the evaluation criteria. In addition, the model results were deployed in a real-world software tool and gave positive feedback.
Age Group Estimation Based on the Transition Count of 3rd Order Neighborhood using V and Inverted V Patterns

Age Classification is used in so many applications like crime detection, face detection and so on. . The age leads to significant variation in human face. The variation depends on many factors like gender, exposure to sunlight, drinking, weight loss or weight gain. In our paper the performance of face aging is established based on v pattern and Inverted v pattern by using the transition count of third order neighborhood. In our proposed method the age of the person is divided into 5 categories 1.Childhood (0-12years) 2.Young Adults (13-25years) 3.Middle Age Adults (26-40years) 4.Senior Adults (40-60years) 5.Senior Citizens (more than 60 years).The quantative evaluation and analysis is performed in our proposed method when compared to other existing methods after applying on 4 different facial image databases.
Securing Image Using Enhanced Watermarking Technique

The image is significantly used in applications such as medical area, research area, image conferencing, a military image system, online transactions, digital signatures, passwords etc. But not everyone who uses this network is going to play by the rules or have the best interest at heart. Just as we have physical security like locks, fences and police officers to minimize crime in the real world. We need some security to minimize crime and harm in the virtual world. Three important factors form the security objectives of the digital content: they are Availability, Confidentiality, and Integrity. Watermarking techniques along with some Cryptography are used to protect the confidentiality of data. Watermarking is basically a process of injecting data into an image in such a way that it can depict the authenticity of those possessing it. The digital information hidden inside an image is imperceptible to the user but can be easily detected by a computer or various digital devices. Watermarking Technique has proved to be a powerful technique for image security and a lot of research has been made over the years to how to embed the watermarks and recover the watermarks effectively. These types of technique where watermark can be fully extracted from the image and along with the restoration of the cover are popularly known as Reversible Watermarking techniques. These techniques have significantly gained importance due to this excellent recovering property making them suitable for content authentication based applications. However, they are not able to identify any modifications or changes done in watermark making it susceptible to tamper location-based attacks. Due to the rapid development of watermarking techniques, a concluding review of recent research in this field is highly desirable. However, the major focus of this paper is on tamper localization based reversible watermarking techniques.