Reviewerly/exHarmony huggingface dataset:
Tetraprenyltoluquinone Inhibits the Tumor Marker Aldo-Keto Reductase: An in Silico Study

Cancer is one of the most common causes of death in the globe.The development of new cancer medicines and the identification of new therapeutic targets is still a pressing necessity.The protein AKR1B10 was discovered to be a valuable biomarker for the diagnosis and prognosis of some malignancies.Over expression of the AKR1B10 gene is found in lung cancer, oral squamous cell carcinoma, breast cancer, cholangiocarcinoma, pancreatic cancer and liver cancer.AKR1B10 is implicated in detoxification, retinoic acid metabolism, and lipid synthesis, among other pathological actions.AKR1B10 is known to be carcinogenic and can be utilized as a tumor marker, according to research.The tetraprenyltoluquinone compound is an isolate from the bark of kandis (Garcinia cowa, Roxb) which has been reported to have anticancer activity in vivo and in vitro and has the potential to be developed as an anticancer drug derived from natural ingredients.This study aims to determine the activity of the tetraprenyltoluquinone compound in silico with the target of the AKR1B10 protein.The method used is molecular docking using PLANTS (Protein Ligand ANT System) for protein visualization and preparation and Ligplus program for visualizing amino acids.The docking score results showed that the AKR1B10 protein interaction with the test ligand tetraprenyltoluquinone is lower than the native ligand, which means the binding energy of tetraprenyltoluquinone to the AKR1B10 (PDB ID: 1ZUA) protein was higher than the native ligand tolrestat.These results indicate that tetraprenyltoluquinone is a potential inhibitor of the AKR1B10 protein in the pathway of cancer.
Manajemen Jaringan Internet Menggunakan Mikrotik Router di SMA Negeri 2 Bojonegoro

The use of information and communication technology in the world of education is unavoidable. The use of networks to access computers remotely and connect them to the internet is increasingly needed by teachers and students to obtain learning information. The network system used must be well managed, especially in managing internet bandwidth so that the connection of each computer has access to the internet evenly and maximally as needed. SMA Negeri 2 Bojonegoro in its teaching and learning activities has utilized information and communication technology, especially has utilized computer networks and the internet as a medium for data and information communication. However, the computer and internet network systems at SMA Negeri 2 Bojonegoro have not been managed properly. The solution to improve the effectiveness of using and managing internet bandwidth at SMA Negeri 2 Bojonegoro is to design and implement network management with Mikrotik Router to make it easier for administrators to manage the network. This research uses the Network Development Life Cycle (NDLC) method as a method of developing computer network management at SMA Negeri 2 Bojonegoro. The results showed that the use of a network system using a Mikrotik router in managing internet bandwidth efficiently facilitates and facilitates various activities related to internet use.
Implementasi Sistem Informasi Manajemen Masjid Berbasis Web

&#x0D; &#x0D; &#x0D; The mosque is a place of worship for Muslims. The mosque plays an important role as the center of Muslim activities. However, behind the mosque's very important role in social activities, it is not balanced with the needs of today's modern society. Therefore, this study implements a management information system (MIS) in mosques. This study resulted in a mosque SIM which was developed on a web-based basis so that it was easily accessible and the software development method used the waterfall so that the SIM that was built was quickly resolved and the development process to implementation and hosting. The features for mosque SIM visitors: information on the call to prayer/prayer schedule, parameter information (qibla direction), financial data information (incoming and outgoing), information on mosque donations/alms, and contact information for contacting the mosque SIM manager. Admin features: manage mosque staff data (create, edit and delete), input data types for donation/alms categories, backup and restore SIM, print officer data, and view the history of what activities have been done by the admin. Officer features: managing activity agendas, managing mosque funds (transfer confirmation, mosque cash profit, income data, expenditure data), and managing report management that will be used as a reference for making decisions/policies. The mosque SIM is expected to help and facilitate mosque officials and administrators in managing mosque activities and finances.&#x0D; &#x0D; &#x0D;
Examining Variants of Learning Vector Quantizations According to Normalization and Initialization of Vector Positions

Learning Vector Quantization is a prototype-based artificial neural network. The classification is performed by representing the data set with the prototype vectors of the classes. In this study, using some variants of Learning Vector Quantization such as LVQ1, LVQ2.1, LVQ3, LVQX, and OLVQ1, the systems are designed and implemented, and they are examined according to initializations of prototype vectors and data sets. Every data set is divided into training and testing data sets. With the training data set, all LVQ networks are trained in a reinforcement learning strategy, and the models for each network are generated to test the success of the systems. In addition, the systems are compared with each other using some distinct normalization techniques such as z-score and linear scaling. In initial conditions, all prototype vectors can be randomly selected, and the values of all prototype vectors can be assigned to zero. The generated systems are evaluated by accuracy and f-measure benchmark measures and compared by their success rates.
Implementing Security in IoT Systems via Blockchain

Abstract: With today’s day and age rapidly going digital, the emergence of the Internet of Things has become prominent and IoT systems are now being applied to almost every field. IoT systems can be seen being applied to fields such as healthcare, agriculture, manufacturing, and many more. As IoT systems encompass numerous devices, each of these devices becomes a target for attacks and exploitation; thus, IoT systems have long been associated with issues related to security. Hence, making IoT systems secure and safe is of paramount importance. While the Internet of Things has become a technology that is extremely widespread today due to the wide range of advantages it provides including scalability, dependence, and ease of access; the shortcomings and possible loopholes should also be accounted for. Currently, a client/server model or a centralized model of networking is employed in IoT devices. These devices also use a single gateway to transfer data between them and connect through a cloud server. This model has lots of shortcomings like the high cost of centralized cloud maintenance and network equipment and the cost will continue to rise with the increase in the number of devices and the volume of data. A Single gateway is not very secure as it allows gaining access to a whole IoT network by compromising a single device. To tackle the issue of security, we propose the inclusion of blockchain technology. A Blockchain is a distributed ledger where data is stored across various nodes all over the world, this eliminates the single point of failure. This project proposes the plethora of benefits that blockchain technology offers and aims to tackle the security aspect of IoT systems.
Cloud Broker Recommendation Framework to Provide Trustworthy Cloud Services to the End User

In recent years, many cloud services have become available on the Website}. Discovering suitable cloud services for the end user is incredibly complex and difficult. The cloud brokerage service is an application that aids in providing solutions for this problem. It recommends suitable cloud service providers to the end users depending on their relevant requirements. The Internet provides access to a wide variety of cloud brokers. As a result, choosing a cloud broker or service provider is both time-consuming and tedious. It is now becoming a necessity to choose a proper cloud brokerage service based on trust. Research works found in the literature address some of the issues and provide feasible solutions by proposing frameworks, optimizations and rule based algorithms. However, those works focus solely on delivering a trustworthy service to the end user through application of techniques and algorithms. There is no proper framework model in place to provide suitable and trustworthy recommended services to the users. This article provides a detailed description of the frameworks that are offered by the researchers, including issues and proposes a trustworthy recommendation framework (TRF) to provide trustworthy services to the end user. This article also presents a Trustworthy Recommended Weighted value (TRWv) approach for determining trustworthy services, and it is discovered that the proposed method achieves high accuracy (91.3%) when compared to similar works.
Cognitive Perception for Scholastic Purposes using Innovative Teaching Strategies

The influence of emotion on attention is particularly strong, changing its selectivity in particular and motivating behavior and action. The degree to which a student participates in class determines their level of conceptual knowledge. Various teaching techniques have been developed over time to improve not only the attention of a student but also their engagement of a student. The level of engagement of a student can help us decide the amount of understanding a student can attain throughout the session. Though these techniques have been developed over time, the basic tests to determine the authenticity of these activities have been done mainly by the use of assessment-based methods. According to research in the field of neuroscience, a person's emotions can assist us to determine a student's level of participation. We also have the affective circumplex model to show us the correlation between emotions and the level of engagement of a person. Taking this into account, we developed an attentivity model with the help of an emotion recognition model (made with the help of VGG-16 architecture in CNN) and the eye tracking system to analyze the amount of engagement being displayed by the student in the class. This model applied to the students on the various teaching models helps us in deciding the effectiveness of various teaching methodologies for the primitive methods of teaching.
Examining the Effect of Performance Evaluation on Employee Job Satisfaction in a Federal Government Agency in Nigeria

The study examined the extent to which Performance Evaluation affects employee job satisfaction in a federal government agency in Nigeria. This study adopts a quantitative technique as primary data was gathered through a validated instrument. The quantitative approach relied on a total enumeration sampling technique, with a Population equal to the sample size (275). The inferential statistical tool which is the Partial Least Square-Structural Equation Modelling (Smart PLS-SEM) version was adopted to analyze the data. The results revealed that Adj R2=0.254; p=0.000, Q2 =0.164). Findings also showed that performance evaluation significantly influenced employee job satisfaction in the federal government agency. The study recommended that the agency's leadership should create a conducive work environment and integrate a system that will boost job satisfaction for a higher level of performance.
Deep Learning and Machine Learning Based Sentiment Analysis on BitCoin (BTC) Price Prediction

Emotions form an essential and fundamental aspect of our lives. What we do and say reflects some of our feelings in some way, though not directly. We must examine these feelings using emotional data, also known as affect data, to comprehend a person's basic behavior. Text, voice, facial expressions, and other data types can be included. Since social networking websites have become so popular, many individuals have started reading the material on these numerous sites.Twitter is one of these social networking sites. People's feelings and thoughts about a subject reveal positive, negative, and neutral emotional values. Doing sentiment analysis on Twitter is a very important and challenging task. In this study, we aim to investigate the sentiments of Bitcoin and provide an overview of its effect on the value of Bitcoin by utilizing the power of deep learning architectures and machine learning methods. The study collected tweets in English shared on Twitter between December 12, 2021, and March 13, 2022. First, people's feelings about Bitcoin were assessed using TextBlob, a natural language processing (NLP) tool. Then, it was done using basic machine learning algorithms for sentiment classification and CNN, LSTM, and BiLSTM deep learning architectures that we modeled. However, deep learning models were tested separately with the TF-IDF and Glove word embedding approaches. Experimental results prove the success of deep learning architectures using the Glove word embedding approach.
Application of Using Internet Technology to Increase Student Learning Enthusiasm at MAS Yaspendi Sungai Iyu, Bendahara District, Aceh Tamiang Regency

This dedication article aims to describe the application of the use of internet technology to increase student learning enthusiasm at MAS Yaspendi Sungai Iyu, Bendahara sub-district, Aceh Tamiang Regency. The purpose of writing this service article is as education and information for readers. This type of article is a qualitative service that seeks to describe and describe a portrait of the sincere and sincere dedication of a madrasa teacher that has been carried out at the Yaspendi Sungai iyu private aliyah madrasah and then described in a structured manner by following the applicable rules of writing scientific papers. The data collection technique in this service article is observation, namely the author is directly involved in giving himself to MAS Yaspen Sungai Iyu and interviewing several figures, namely the head of the madrasa, the head of administration, and the teachers of MAS Yaspendi Sungai Iyu, Bendahara District, Aceh Tamiang Regency. The results of the dedication show that, the application of Internet Media to MAS Yaspendi Sungai iyu, Bendahara District, Aceh Tamiang Regency, which makes visualization more interesting in learning at MAS Yaspendi Sungai iyu, Bendahara District, Aceh Tamiang Regency
Online Integration and Reconstruction Platform Interaction Research of Industrial Design Professional Guiding Model in Higher Vocational Colleges Based on Complex Information System

Based on the complex information system, this paper studies the education mode of the industrial design major in higher vocational colleges, and designs a background processing and online integration and reconstruction platform for the guidance network of the higher vocational industrial design major. Firstly, it analyzes the characteristics of the complex information system interface with Kernal as the frame, studies the application of the industrial design specialty in the complex information system interface design in higher vocational education, and implements the arrangement, topic selection, implementation principle, implementation process, Specific practice has been carried out in terms of assessment requirements and so on. The practice data is entered and processed based on MongleDB, and the online data is integrated and reconstructed using C++ modeling.
Peningkatan Keterampilan Menulis Teks Prosedur Menggunakan Model Proyek Based Learning dengan Media Animasi pada Siswa Kelas Xi TKJ-2 SMK Negeri 2 Karang Baru

This study used a type of Classroom Action Research (PTK). (Classroom Action Research). The subject of this study is the skill of writing procedure texts in grade students of SMKN 2 Karang Baru, . The source of this research data is students of SMKN 2 Karang Baru, . The number of students in one class selected as respondents was 20 students. Data collection techniques use test techniques and non-test techniques. Data analysis techniques are carried out in two ways, namely quantitative data analysis techniques and quality data analysis techniques. Results The learning process of writing procedures with a project bassed learning model assisted by animated video media as a whole went well. This is evidenced by the results of observations that show an increase from cycle I to cycle II. The results of changes in religious and social attitudes of the students of SMKN 2 Karang Baru class, experienced a change in a positive direction. Most of the students showed a good attitude of behavior from cycle I to cycle II in learning to write procedures with a project-based learning model with animated video media. The results of the procedure writing skills test with the project bassed learning model assisted by animated video media in grade students of SMKN 2 Karang Baru, experienced an increase from cycle I to cycle II.
Errors in Using Order of Adjectives in Writing Descriptive Text

ABSTRACT&#x0D; writing is one of skills in learning English besides reading, writing and speaking skill. Writing is an activity write that it needs to express thought and feeling in written form. Most of students often make errors in their writing and they still do not understand in using order adjective in sentences grammatically. The objective is to increase students’ comprehension in using order adjective in writing descriptive text. The errors make by students has some reasons; firstly, they have lack of motivation from themselves, they do not interest in learning writing and the material presentation is not comfortable. Secondly, first language or mother tongue can influence the language or language interference. Thirdly, translation use in first language sentences word by word, it occurs to change of the meaning in a sentence. Therefore, to solve the students’ errors in writing descriptive text, the students have to know order adjective like; quantity, opinion, size, age, shape, color, origin, material and purpose. So, they can write sentence in a paragraph grammatically and regularly.
Is Tour Guiding Possible in Metaverse?

Researchers are wondering to what extent it is possible for professions to take place in the coming years in the Metaverse world, which has attracted more attention over time. In this context, it is aimed to discuss whether it is possible to practice the profession of tour guiding in Metaverse. The study is based on a conceptual research. Since the Metaverse is not a well-known and easy-to-understand concept, compilation studies that constitute conceptual and semantic integrity are needed before empirical studies on the subject. With the updating of the possibilities offered by the virtual universe over time, it is thought that tour guiding in the Metaverse, which seems impossible at the moment, may be possible in the future. Technological developments and forecasts for the future show this. Technology is one of the indispensable elements of human life. The basis of all kinds of materials used today is based on advanced technology. While developing technology paves the way for the formation of a new order in human life, it also provides a source for the emergence of different concepts within this order. One of these concepts is Metaverse. Metaverse, which is the basis of the intertwining of reality and virtual environment, constitutes the main subject of the research. The study is suitable for the "what awaits us in the future?" view on people due to the uncertainty of the Metaverse world, which is a result of the ever-developing advanced technology.
A Semantic Analysis WRT Linguistic Approach of TV Commercials: A Case-Based Research for LUX (HUL)

Communicational language clarity, which conveys a message, decides intensity of impact of language used. Thus, this era evidences a well-executed presentation of television commercial ads, with wise and cautious use of words and language. Thus, semantics are being fully exploited by copywriters to win audience’s attention and make a difference. Present study intends to highlight linguistic approach of semantics and analyzes linguistic tools used in LUX soaps’ TV commercials. Understanding effect of linguistic approach and choice of language used by copywriters on viewers also aimed. A systematic thematic review conducted on earlier research on a topic, which well supported by quantitative research done on different age groups to maintain data’s main neutrality. Researcher has used different hypothesis testing and chosen factor analysis of SPSS 22 version, suitable for data. However, in course of research work, it was realized subject was not widely analyzed from any quantitative scale. However, a vast study with qualitative evaluation made in past. Lack of intensive study found to be one of limitations of study.
Static Pakistani Sign Language Classification using Support Vector Machine

In this study, a system is proposed that uses the Support Vector Machine (SVM) technique with Bag-of-Words (BoW) and recognizes static Pakistani Sign Language (PSL) alphabets. The application of the BoW technique with SVM, on a PSL images' dataset, has not been performed previously. Similarly, no publicly available dataset for PSL is available and previous studies have achieved a maximum classification accuracy of 91.98%. For this study, a total of 511 images are collected for 36 static PSL alphabet signs from a native signer. The Sign Language (SL) recognition system uses the collected images as input and converts them to grayscale. To segment the images, the system uses the thresholding technique and Speeded Up Robust Feature (SURF) to extract the features. The system uses K-means clustering to cluster the extracted features. To form the BoW, the system computes the Euclidean distance among SURF descriptors and clustered data. The system then uses 5-fold cross-validation to divide the codebooks obtained from the BoW into training and testing. The developed system yields an overall accuracy of 97.87% for the classification of static PSL signs at 1,500×1,500 image dimensions and 500 Bags.
Pengaruh Penggunaan Media Video untuk Meningkatkan Hasil Belajar Siswa pada Pembelajaran IPS di SD

The writing of the results of the research aims to find out how the influence of the use of video media improves student learning outcomes in social studies learning in elementary school. The writing in this study uses qualitative research methods, as well as a descriptive approach, in the discussion citing the results of a literature study. Furthermore, based on several sources from scientific articles, books, and relevant journals based on the results of previous studies that are in line with the topic of discussion. The results of this study, it was found that the use of video media has an influence on the learning outcomes of elementary school students, especially in social studies subjects. The use of video media in social studies learning in elementary school is valid because students who learn social studies material using video media trigger students to be more active in asking questions. discuss, and answer about the material being studied. This is because the video shows are quite interesting so that students pay attention to the material and do not get bored easily so that they can improve their learning outcomes. In the application of video media in social studies subjects, it has a considerable impact on the achievement and learning interest of elementary school students.