Reviewerly/exHarmony huggingface dataset:
Using Semantic Text Similarity calculation for question matching in a rheumatoid arthritis question-answering system

When users inquire about knowledge in a certain field using the internet, the intelligent question-answering system based on frequently asked questions (FAQs) provides numerous concise and accurate answers that have been manually verified. However, there are few specific question-answering systems for chronic diseases, such as rheumatoid arthritis, and the related technology to construct a question-answering system about chronic diseases is not sufficiently mature.Our research embedded the classification information of the question into the sentence vector based on the bidirectional encoder representations from transformers (BERT) language model. First of all, we calculated the similarity using edit distance to recall the candidate set of similar questions. Then, we took advantage of the BERT pretraining model to map the sentence information to the corresponding embedding representation. Finally, each dimensional feature of the sentence was obtained by passing a sentence vector through the multihead attention layer and the fully connected feedforward layer. The features that were stitched and fused were used for the semantic similarity calculation.Our improved model achieved a Top-1 precision of 0.551, Top-3 precision of 0.767, and Top-5 precision of 0.813 on 176 testing question sentences. In the analysis of the actual application effect of the model, we found that our model performed well in understanding the actual intention of users.Our deep learning model takes into account the background and classifications of questions and combines the efficiency of deep learning technology and the comprehensibility of semantics. The model enables the deep meaning of the user's question to be better understood by the intelligent question answering system, and answers that are more relevant to the original query are provided.
Stat-Weight: Improving the Estimator of Interleaved Methods Outcomes with Statistical Hypothesis Testing

Interleaving is an online evaluation approach for information retrieval systems that compares the effectiveness of ranking functions in interpreting the users’ implicit feedback. Previous work such as Hofmann et al. (2011) [11] has evaluated the most promising interleaved methods at the time, on uniform distributions of queries. In the real world, usually, there is an unbalanced distribution of repeated queries that follows a long-tailed users’ search demand curve. This paper first aims to reproduce the Team Draft Interleaving accuracy evaluation on uniform query distributions [11] and then focuses on assessing how this method generalises to long-tailed real-world scenarios. The replicability work raised interesting considerations on how the winning ranking function for each query should impact the overall winner for the entire evaluation. Based on what was observed, we propose that not all the queries should contribute to the final decision in equal proportion. As a result of these insights, we designed two variations of the $$\varDelta _{AB}$$ score winner estimator that assign to each query a credit based on statistical hypothesis testing. To reproduce, replicate and extend the original work, we have developed from scratch a system that simulates a search engine and users’ interactions from datasets from the industry. Our experiments confirm our intuition and show that our methods are promising in terms of accuracy, sensitivity, and robustness to noise.
Conversational Search for Multimedia Archives

The growth of media archives (including text, speech, video and audio) has led to significant interest in developing search methods for multimedia content. An ongoing challenge of multimedia search is user interaction during the search process, including specification of search queries, presentation of retrieved content and user feedback. In parallel with this, recent years have seen increasing interest in conversational search methods enabling users to engage in a dialogue with an AI agent that supports their search activities. Conversational search seeks to enable users to find useful content more easily, quickly and reliably. To date, research in conversational search has focused on text archives. This project explores the integration of conversational search methods within multimedia search.
A Deep Learning-Based Human Action Recognition Based on Depth Maps, Skeletons, and Sensor Images

This study describes a method for identifying human behavior based on depth motion maps. A depth video array projects each depth outline onto three symmetric Cartesian planes. A comprehensive depth video group forming a depth motion map, under each projection view he captures the unique differences between two successive projection maps. A 12-regularized joint representation classifier with a distance-weighted Tikhonov lattice is then applied for action detection. The developed method has been proven to be computationally efficient and capable of stepwise manipulation. Detection results using the Microsoft Exploration Action3D dataset show that our strategy performs more effectively than existing methods. Convolutional neural networks are used in this paper to offer a solution for human action recognition based on depth images and posture data (CNN). Both a depth motion image (DMI) and a proposed moving joint descriptor (MJD) are used as inputs for the purpose of action representation.
Design of NBW-MHO with BERT model for prediction of Breast Cancer in IoT Healthcare System

The key to successful early recovery and treatment of breast cancer in today's healthcare system is an accurate and prompt diagnosis. Over the last several years, the IoT has undergone a transition that makes it possible to analyse both real-time techniques. Medical diagnostics are aided by the Internet of Medical Things, which connects various medical equipment and artificial intelligence applications with the healthcare network. Most women with breast cancer don't make it because the disease isn't detected early enough using today's best methods. Therefore, doctors and scientists are confronted with a significant challenge in recognizing breast cancer at an primary stage. We present a medical IoT-based diagnostic system that can distinguish between patients with cancer and those without it in an Internet of Things setting. Malignant vs benign categorization is performed using an unique transfer learning technique called BERT, which is based on a previously learned language model. In particular, this research looks at how well novel fine-tuning approaches based on transfer learning might improve BERT's capacity to capture significant context. This research improves the BERT model's classification accuracy by using a Black Widow-meta-heuristic Optimization (NBW-MHO) feature selection strategy to refine feature selection from the breast cancer dataset. The WDBC dataset served as a testbed for the suggested method. The suggested model's classification accuracy using the BERT model and NBW-MHO was 95.20 percent.
Evaluation Of Medicine Prescription At A Pharmacy In Medan City

Pharmacy is a pharmaceutical service facility carried out by pharmacists by providing services directly and responsibly to patients related to pharmaceutical preparations in order to achieve definite results to improve the quality of life of patients. However, currently irrational treatment still often occurs, one of which is with inappropriate prescribing. This will have a negative impact on society. The purpose of this study was to evaluate drug prescribing in one of the pharmacies in the city of Medan. This is a descriptive evaluative research. The data was collected retrospectively and concurrently. Then the raw data was categorized into quantitative data and it was represented in tables to compare the data visually. Meanwhile, qualitative data was collected by observation and interview with the interviewees. The results showed that some indicators of prescribing drugs to patients in one of the pharmacies in Medan city still did not meet the standards, namely the average number of drug items per prescription sheet in 2021 was 3.63 and the percentage of prescribing drugs with generic names in 2021 was 80.9 %. While the prescribing indicators that are in accordance with the standards are the percentage of prescribing antibiotics for 2021 at 6.47%, the percentage of drugs that can be delivered is 90%, and the percentage of drugs that are completely labeled 100%. Based on the results of the study, it was concluded that there were still indicators of prescribing drugs carried out in one of the pharmacies in the city of Medan that did not meet the standards.
Optimization of Transaction Processing System (TPS) Using RAD With FAST Method

The use of computer-based information systems today has been understood by most companies in order to survive and succeed well. The transaction processing system (TPS) is a computerized system that runs and records daily routine business transactions that serve the operational level in the company. Information systems of purchase, inventory, sales are part of the TPS widely used by companies. The problem here is how to ensure that the system is connected to the organization's business plan and information requirements, where often a system that is built is not in accordance with the wishes of the user. Meanwhile, manual information systems can cause problems such as data redundancy, inconsistent data, irregular recording, miscalculations, difficulty in finding data and delays in presenting reports. To build the information system, the Framework for the Application of System Thinking (FAST) method will be used with a Rapid Application Development (RAD) approach that uses selected prototype features. The solution is expected to build an information system that can bring together user requirements and help companies process purchase, inventory and sales data in an integrated manner, so as to increase the efficiency and effectiveness of retail data processing.
APLIKASI ENKRIPSI DENGAN ALGORITMA RIVEST SHAMI ALDEMAN (RSA) DAN PARITY BIT CODING UNTUK FILE MULTIMEDIA

Encryption is the most effective way to obtain data security. In order to read the encrypted file, we must have access to a password that will allow us to decrypt the message. Data that is not encrypted is called plain text, while the encrypted one is called cipher text. As for steganography is the process of hiding data in digital files so that people do not think that if there are digital files there is no message. If these two processes are in combination then the message will be more secure. For this reason, it is necessary to make an application to store messages in images with encryption in the first process. Many methods are used to recognize cryptography, one of which is the RSA method. The use of this method aims to find out how cryptography works and the systems contained in the cryptographic process. This cryptography and steganography application uses an application called Eclipse which is commonly used to create android mobile applications
IMPLEMENTASI ACCESS CONTROL LIST DALAM PERANCANGAN VIRTUAL LOCAL AREA NETWORK PADA PT CAKRAMEDIA INDOCYBER

The limited network resources make the company network managers have to act more wisely in the use of these resources, one of which is by limiting the use of resources and prioritizing their use only for the company's main interests. Implementing a Virtual Local Area Network (VLAN) and switch port security can be done to limit user access between networks in the company and to implement access role's, router access list's (ACL's) are applied so that the network only forwards permitted data based on the company's communication needs. The ACL's router used in this study uses the ACL's standard because it is not yet known the specific needs for TCP and UDP data restrictions in the company. The results of this implementation are expected to improve the security and effectiveness of network use at the PT. Chakramedia Indocyber. The method used in this research is to use the observation method and the interview method to get to the problems that exist in the company and analyze the availability and needs of network hardware. As well as using laboratory research to get a suitable configuration solution
PEMANFAATAN TEKNIK WEB SCRAPING PYTHON UNTUK SISTEM PENCARIAN PRODUK DI TOKO ONLINE

Sales and purchase transactions utilizing electronic systems with the internet through computer networks has grown rapidly. Buying goods in online stores sometimes the items you are looking for are not what you want, especially in price and item details, it can even happen that the item you are looking for is not found. In searching for goods using search engines such as google, yahoo, it will generate information on goods in the form of a list of website addresses. So that the information obtained is not as desired, people have to visit the online shop address one by one, causing people to waste a lot of time. The results of the research on the product search system using web scraping techniques to several e-commerce, namely tokopedia, shopee, elevania and blibli, have succeeded in obtaining data in the form of product names, number of stock items, url, rating and product images. So that people can easily find the desired item along with the data
PENERAPAN METODE VIRTUAL ROUTER REDUNDANCY PROTOCOL (VRRP) PADA YAYASAN MASJID AL IKHLAS

The computer network is a very important aspect of our life today. Without a computer network, we cannot communicate with one another if separated by distance and time. Therefore, the availability of computer networks today is very important to support communication and even to support our work 24 hours a day. In line with these developments, there are still many network problems, especially at the Al Ikhlas Mosque Foundation, one of these factors is the lack of maintenance in terms of hardware that is not supported with the appropriate specifications. Based on the problems encountered and the results of the analysis using the SWOT method, it was concluded that there is a need to optimize the development of network technology at Masjid Al Ikhlas Foundation as an innovation in security issues and network smoothness by applying the VRRP (Virtual Router Redundancy Protocol) method. To support the VRRP method, it is necessary to conduct training for employees of the Masjid Al Ikhlas Foundation in the field of IT technology to deal with increasingly rapid technological developments, and it is also necessary to perform routine maintenance on network devices
IMPLEMENTASI PCI-DSS UNTUK KEAMANAN DATA KARTU PEMBAYARAN PADA PT DHARMA LAUTAN NUSANTARA

The quality of service provided by the company must be maintained including providing transaction facilities using a secure credit card so that it can provide the best to customers and aims to increase the sense of trust in the company in making payments using credit cards. The method used to improve information security and corporate networks is to implement network security in accordance with the Payment Card Industry Data Security Standard (PCI-DSS) standard. The method used in this study is to identify data and communications that are the focus of security in compliance with PCI DSS, reduce the scope of security by implementing network segmentation by determining the classification of devices, communication lines and people into three categories based on the presence or absence of a relationship to data. credit cards, namely Cardholder Data Environment (CDE), Shared Network and Corporate Local Area Network. (LAN) Then manage the data communication traffic between the three segments according to compliance with the PCI DSS standard
IMPLEMENTASI VIRTUAL PRIVATE NETWOR MENGGUNAKAN POINT-TO-POINT TUNNELING PROTOCOL

Today's technological development is very rapid, especially in the field of network security. The field of network security is a matter that will be a very important part because the network security system is used to guarantee the confidentiality, theft, or burglary of data on a company. In its implementation, a VPN network (Virtual Private Network) uses a site-to-site Point to Point Tunel Protocol (PPTP) method to connect between two places that are located far apart. The main facility of using PPTP is being able to use a public-switched telephone network (PSTN) to build a VPN. At PT Indosis Integrasi Jakarta, the place where the author conducts research there are several problems that the author found, namely, when sending data between the head office and branch offices in Bandung, there is no security that ensures that the data is safe. With the current state of the network, uninterested parties will easily access or steal confidential company data.
Reﬂections on Online EFL Teaching during COVID-19: A Case Study of Yunnan University in China

The paper is a case study on a whole-term online English teaching practice of non-English major postgraduates from March to July 2020 at Yunnan University in China. By attempting to probe into the strategies employed in the three phases of pre-teaching, while-teaching, and post-teaching respectively, reflections upon the mega-scale online English teaching for 30 classes of approximately 1200 students are analyzed by qualitative research in the forms of online interviews and class video observation. The research aims to summarize useful strategies and key factors teachers need to attach importance to in technology-assisted English language teaching with mixed applications and approaches to meet an urgent need in practical situations. Th e practice can be an example of the effective “localization” of college English teaching in China. It also shows that effectiveness-oriented online teaching can be feasible and useful in shaping and enriching the new normal of foreign language teaching in post COVID-19 era.
THE ANALYSIS OF GRAMMATICAL PROBLEMS AND GENERIC STRUCTURE OF NARRATIVE TEXT WRITTEN BY THE ELEVENTH GRADUATE STUDENTS OF LANGUAGE PROGRAM AT SMAK ST.KLAUS WERANG-WEST FLORES

The study was intended to analyze grammatical problem and generic structures of narrative text written by the eleventh grade students of Language program at SMAK St. Klaus–West Flores in the academic year 2016/2017. The data were mainly collected through assigment on narrative written text and itervies and were analyzed descriptively using Dulay’lingistics taxonomy (1982) and Fink’ category (2005). The result of data analysis revealed that the students committed errors in their narrrative writing, namely article, possessive case, omission of – ed, regularization by adding –ed, simple present tense used in place of simple past tense, omission of –be, pluralization, pronoun, preposition, omission of main verb, subject verb agreement, word order, diction, spelling, passive form, adverb, conjunction, double marking, and modals. The cause of error was interference, lack of vocabularies, and motivation, and teacher’ ability/qualification.
Innovative Marketing in Fashion E-commerce

The purpose of this research is to design a website-based fashion e-commerce information system. This research used a descriptive analysis method. We are going to identify the business needs and design systems that are appropriate. The user interface structure is divided into the User Menu Structure and Admin Menu Structure. The admin enters the data items to be sold through the Product Category Data Input Form page and Product Data Input Form Page. The results of this study are the system can present a Sales report that presents the number of product sales. The features provided on the website that are designed include product search features, account and information security, as well as shipping and payment confirmation. This web-based sales system can be used by sellers to reach a larger market and can facilitate the transaction process.
Image Caption Generation Framework using Hybrid Grey Wolf Optimization and Crow Search Algorithm

The image captioning process is used to generate an image textual description.To generate caption, image captioning uses both natural language processing as well as computer vision.Nevertheless, most image captioning systems present indistinct depictions about objects such as "Man", "woman", "group of people", "building" and so on.Therefore, an intelligent based image captioning technique is developed in this work.The proposed technique consists of some steps such as the formation of the sentence, generation of words, and generation of the caption.At first, the input image is fed to a Deep learning classifier named Convolutional Neural Network (CNN).Here, the main aim of the classifier is used to train the appropriate words which are associated with the image, and can simply classify related words of a given image.Furthermore, the Long-Short Term Memory (LSTM) technique is exploited to form a set of sentences with generated words.Subsequently, the Maximum Like hood (ML) function is exploited to calculate formed sentences likelihood, as well as sentences with maximum probability is exploited that is furthermore exploited to generate a visual illustration of the scene regarding the image caption.The major objective of this work is to improve CNN performance by optimally tuning its activation function and weight.Therefore, for this optimal selection, this work adopts a novel improved optimization approach named Grey Wolf Optimization (GWO) algorithm and Crow Search Algorithm (CSA), which is termed as the Hybrid GWO-CSA algorithm.At last, the adopted captioning technique performance is evaluated with other existing techniques regarding the statistical analysis.
PERENCANAAN JARINGAN KOMUNIKASI BERBASIS VOIP MENGGUNAKAN CISCO UNIFIED COMMUNICATION MANAGER

Computer network technology is growing rapidly. Computer communication technology is very fast developing and has developed application systems such as VoIP (Voice Over Internet Protocol). This technology works by converting sound into a digital format that is sent over the internet. Prior to the current implementation, the voice or telephone communication network used at the head office of PT. SequisLife uses a PSTN-based telephone. This, of course, wastes the company's operational financing. By using VoIP (Voice Over Internet Protocol) to create a very appropriate solution to resolve what happened to the company. Building a VoIP server requires an open source based application, namely the CUCM application, with sufficient CUCM applications requiring functions and benefits that are stable and safe to use. To build a VoIP-based communication network only requires a separate server, ip phone, router and internet network connection. With the results obtained by communication planning with VoIP-based technology, employees or users associated with the environment of this company in one another cooperation safely and smoothly and low cost
The Significance of Digital Library Resources

The digitalization implementation as a preservation strategy has grown up to become a phenomenon on a universal scale, and to keep a library collection in decent figure, it is the most widespread method these days among academic libraries. This is specifically true for the case of all the academic libraries. The prime focus of this research paper is on description of the methods and methodology involved in digitization, as well as an explanation why digitization is essential. The problems and complications linked with the digitalization procedure are also took into the consideration in this research paper. This work faces significant challenges such as legal and financial aspects as they are very crucial at any place. Other variables are also discovered along with the probable solutions to the problems that have been recognized. This research paper reveals that there are so many complications in the way of the digitization of academic libraries, and it draws to a close by stating that despite the fact that digitization is a challenge, information professionals and librarians still need to be prepared having the practical experience and the strategic foresight to put it into action in a way that is both structured and manageable.