Reviewerly/exHarmony huggingface dataset:
Explore the Smart Home Design and Realization in the Era of Information Technology

With the progress and development of modern science and technology today, human society has already entered the information society accordingly.The digitalization and intelligence of information technology have been widely spread, convenient for people's daily life, but also make the use of information, so that people's life quality and efficiency have been greatly improved.In this way, information technology gradually enters people's vision. This article is starting from people's daily life demand for home design, and explores the impact, application and realization of artificial intelligence "A I" (Artificial I ntelligence) on home design in this era of information technology.
Design of Error Code Guide System on Wincor Nixdorf ATM Machine for CMD Controller Part Based on Mobile Application

The machines must have an identity to categorize these machines that are starting to circulate in the Indonesian market. The identity of these machines is determined by the Serial Number (SN) on the machine. For machines manufactured in 2015, the machine has the identity of "Mesin dengan SN 56DW5." Moving on to 2016, the machine's identity changed to "SN 56HG6," while the machine type remained the same, which is Procash 280. Given the various types of Procash 280 machines, engineers sometimes struggle to decipher the codes on Wincor Nixdorf ATM machines. The method employed by the author in analyzing the SSI Net system involves data collection through literature review and field studies, alongside Software System Development using the Waterfall Method. The author conducted a feasibility test, which included a Technology Feasibility Test for the error code application. The necessary facilities for creating the Error Code Application were available, such as a Toshiba Satellite C-40 Laptop with Windows 10 Pro, Intel Core ™) i3-3110 M CPU @ 2.40 GHz Processor, 4.00 GB RAM, and a 64-bit Operating System. The Operational Feasibility is evident in engineers being able to install the application whenever and wherever using the provided APK. Additionally, the application's instructions are in Indonesian to accommodate new engineers joining the company. The designed system consists of two components: the Master Data Error Code and the output produced. The Master Data Error Code employs a two-digit number to provide results within this application, both for CMD Error Codes and Screen Error Codes. The application's output features two displays: one in English and the other in Indonesian. The author suggests adding additional menu options to the application to further assist users in finding solutions.
Factors Associated with the Quality of Life of Hospital Pharmacists during the COVID-19 Pandemic: Survey Validation

Liana Silveira Adriano1*, Eugenie Desirèe Rabelo Néri2, Carlos Antônio Rodrigues Guerreiro3 and Marta Maria de França Fonteles1 Author informationArticle notesCopyright and License informationPDFCitations Corresponding author. Correspondence: Dr. Liana Silveira Adriano Department of Pharmacy, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, BRAZIL. Email: lianasilveira93@hotmail.com Received December 21, 2022; Revised February 04,
Innovative Diagnostic Method Using Immunocytochemistry (Estrogen Receptor) for Diagnosis and Management of Breast Cancer

This study aimed to evaluate the effectiveness of Immunocytochemistry (ICC) on Fine Needle Aspiration Cytology (FNAC) using estrogen receptor (ER), in diagnosing breast lesions, comparing them to the gold standard Core Needle Biopsy with Immunohistochemistry (IHC). A total of 50 samples were collected and analyzed using both FNAC and Core Needle Biopsy techniques.For FNAC, the results demonstrated excellent performance: Sensitivity=100%, Specificity=100%, Diagnostic Accuracy=100%, Positive Predictive Value (PPV)=100%, and Negative Predictive Value (NPV)=100%.Similarly, the results for ICC using ER were also favorable: Sensitivity=100%, Accuracy=100%, Positive Predictive Value= 100% and Negative Predictive Value=100%.These findings suggest that ICC using ER could serve as a reliable alternative to the gold-standard diagnostic tests. This technique proves particularly valuable in situations where resource limitations prevent the use of the standard test. However, it is imperative to note that further studies with a larger sample size are necessary to generalize these results.Furthermore, this study involved the utilization of text data analysis on FNAC reports. The analysis revealed that approximately 11.35% of the dataset contained useful words, indicating that normalization processes can condense the data and make it valuable for assisting clinical chart reviews and clinical decision support systems.
The Effectiveness Of Learning Through Online Applications

Advances in information technology provide a fairly rapid influence in the world of education to improve learning outcomes where the use of IT makes it easier for users to use it anywhere and anytime. One of the desires of students or parents for children's learning outcomes is to obtain optimal grades and be able to support them to achieve their goals. One way is by adding learning through online learning applications that are available in various types. Therefore, researchers want to find out more about the effectiveness of learning through online learning applications. The aim is to find out whether or not the use of online learning applications is effective in improving student learning outcomes at school X Jakarta. The research method used is descriptive quantitative with data collection techniques through the distribution of questionnaires, observations, interviews, and documentation. Respondents were selected by purposive sampling and totaled 40 respondents. The data received will be processed carefully so that the research results show that online learning applications have an effectiveness valued in improving student learning outcomes and the effectiveness of learning through online learning applications is quite good.
The Top 100 Most Cited Papers in Bibliometrics: A Bibliometric Analysis

The main objective of this study is to conduct a bibliometric analysis of the top 100 most cited papers in the field of bibliometrics. The data collection for this study involved gathering bibliographic information, such as publication year, citation count, authorship pattern, and publication source, for the top 100 most cited papers according to the Scopus citation count in the field of bibliometrics. The analysis revealed that these hundred papers were published between 1983 and 2022 in a total of 68 different journals. Collectively, these papers have received a total of 75,872 citations. Furthermore, it was observed that the period between 2006 and 2010 was the most productive time span in terms of publication output. The study also identified a dominant trend of collaborative authorship among the top-cited papers. Lastly, it was found that the Journal of Informetrics was the most productive journal in terms of publications related to bibliometrics.
Canada’s Student Journal Forum: From Humble Beginnings to National Conference

Student Journal Forum began as an in-person half-day event at the University of Toronto (U of T) in 2015. It was organized by a group of librarians with the goal to connect editors of 60+ student-led U of T journals with publishing supports, best practices, and with each other. The audience’s enthusiastic engagement and the community-building power of the event prompted the librarians to offer it again the next year, and the year after. Eight years later, this local annual event has grown into a Canada-wide virtual gathering. The shift to online during the COVID-19 pandemic was a key catalyst to open the Forum to students to connect remotely, and for the event to be jointly organized by multiple libraries across Canada. The event’s offering has evolved as well, moving from librarian-led publishing best practice sessions to student-led presentations and participatory learning sessions. The most recent 2023 Forum featured an open call for proposals that let student editors share their experiences and present on topics that mattered to them. It was complemented by a half-day of publishing skill sessions presented by Canadian librarians and two panels with scholarly editors and publishing professionals. In this paper, we reflect on the evolution of the Student Journal Forum, its successes and challenges, and its role in establishing the connection between student editors across Canada and between different Canadian libraries that offer student journal publishing support.
Exploring EFL Learners’ Perspective of Using Attractive Games to Improve English Speaking Performance for Grade X Accounting Students of SMK Muhammadiyah 1 Yogyakarta

The purpose of writing this article is to have a better understanding of the differences between Islamic and conventional banking as well as the relevance of Islamic banking principles in the current global economic context. The research method used is qualitative method, this study is descriptive analytic, this is to describe and analyze the system of Islamic financial institutions with the system of conventional financial institutions. Results: Sharia banks serve as a means to accumulate public savings and develop them. The point is that Sharia Bank is an institution that functions to invest public funds in accordance with Islamic recommendations effectively, productively and for the benefit of Muslims. The main objective of Sharia Bank, which is to unite Muslims, restore the strength, role, and position of Islam on this earth can be achieved. Conventional Banks are established to obtain maximum material benefits, while Islamic Banks are established to provide material and spiritual welfare. This material and spiritual welfare is obtained through halal funds collection and distribution. This means that Sharia Bank will not distribute funds to liquor factories or other businesses that cannot be guaranteed that the results come from halal activities. Therefore, it can be said that the concept of profit in conventional banks is more inclined, focusing on the angle of material profits, while the concept of profit in Islamic banks must pay attention to profits from the worldly and ukhrawi (hereafter) angles.
Reflections of STEAM Education on Children According to Early Childhood and Primary School Teachers

In this study, we examined STEAM education's reflections and implicit functions on children according to the views of early childhood and primary school teachers who applied STEAM education. We conducted the study within the scope of phenomenology design, one of the qualitative research designs. The participants were ten teachers who had previously received STEAM education and applied STEAM education in their classroom and were determined by the snowball sampling method. We collected the data with semi-structured interviews and analyzed them with content analysis. We explained our findings with three themes: 1) opportunities for collaborative learning with peers, 2) values, and 3) opportunities for skill development. According to the results, STEAM education encouraged children to make friends, work together, have fun, develop positive commitment, and take responsibility. STEAM education enabled children to cooperate, share, take responsibility, and develop friendships among children. In addition, STEAM education contributed to many skills of children, such as empathy, problem-solving, scientific process, analytical thinking, aggressiveness, self-control, and critical thinking. In this respect, the study provides evidence for the illusions of STEAM education for children.
Case Analysis of Financial Fraud Based on CRIME Theory

In today's diversified era, China's economy is developing at a high speed, but it has also triggered people's concern about financial fraud. The constant emergence of financial counterfeiting incidents as well as endless counterfeiting methods have brought serious impacts to the society. The difficulty of recognizing fraudulent means is increasing, and we urgently need to find new ways to solve this urgent problem. Financial counterfeiters have no fear, wantonly for the wrong, completely disregard for the laws of the economic market, serious damage to the legitimate rights and interests of investors. Taking Tongjitang's inflated revenue of 21.1 billion yuan as an example, they have been carrying out financial fraud for four consecutive years, resulting in a huge amount and far-reaching impact. This paper will firstly review the case of Tongjitang's falsification, then analyze the financial falsification based on CRIME five-factor theory, and finally put forward corresponding suggestions and measures for their falsification means. Through the research and discussion in this paper, we hope to improve the understanding of financial counterfeiting, strengthen the ability to prevent and combat financial counterfeiting, further protect the legitimate rights and interests of investors, and maintain the stability and healthy development of the economic market.
Method Development Through Landmark Point Extraction for Gesture Classification With Computer Vision and MediaPipe

Examining the physical movements of students during their educational quests holds great significance as these nonverbal cues can exert a substantial influence on academic performance, and boost, learning outcomes, Consequently, numerous researchers are engaged in exploring the domain of gesture categorization employing machine learning techniques. Initially, we conducted an observation of students’ movements in a virtual learning environment during face-to-face interactions with their teachers. This procedure yielded a roster of thirteen motion-based behaviors, encompassing actions such as tilting the head towards either direction, lowering and lifting the head, as well as gesturing with the right and left hand towards the head and neck area, and positioning the shoulders in a front and lateral direction. This research offers a technique for establishing a set of criteria for categorizing students’ gesticulations in online learning by utilizing the comprehensive MediaPipe holistic library and OpenCV to detect, pose and extract salient landmarks. This endeavor culminated in the attainment of a percentage-based metric indicative of gesture identification efficacy pertaining to the aforementioned thirteen motion-based activities.
Network Traffic Classification for Internet of Things Based on Deep Learning Models

&lt;p&gt;Internet of Things (IoT) is a system of interconnected computing devices. The continuous growth of the number of IoT devices leads to expansive traffic. It is crucial to study the behaviour of network flows for Internet Service Providers (ISPs) to manage the performance of the IoT network. The Network Traffic Classifier (NTC) is the foremost essential tool in finding the network flows and behavioural aspects of a network such as network latency, volume, bandwidth consumption and many more. The success of deep learning models extended to the NTC as well. The current deep learning based solutions for the NTC contributed to considerable success. However, the current so- lutions are proposed to classify the flows that are captured in monitored network. In the real world, IoT traffic is diverse and heterogeneous in nature. Therefore in the ever-evolving IoT world, it is challenging to keep up the classification model trained with flows that are captured in controlled environment. Hence, in this research the effort is made to design the model that can classify the traffic flows from real world. A supervised deep learning method is proposed to classify network traffic and chi-square algorithm is used to select the features that can provide best information about the flows. The proposed method achieves 70% accuracy. The time distribution wrapper over the Convolutional Neural Network (CNN) is employed to extract the network features. The Long-Short Term Memory (LSTM) layer is applied to classify the network flows. The thesis explains a detailed study of feature engineering, successful deep learning models, and the research results. &lt;/p&gt;
Hand Gesture Recognition Using CNN &amp; Publication of World’s Largest ASL Database

&lt;p&gt;Sign language is used throughout the world by the hearing impaired to communicate. Recent advancements in Computer Vision and Deep Learning has given rise to many machine learning based translators. In this research report, a solution to recognize the English alphabet presented as static signs in the American Sign Language (ASL) is proposed. The classifications are achieved by a four layer CNN. The model is trained and tested on a dataset created for this project. This dataset will be published as a contribution to the community and is currently the world’s largest ASL database consisting of 624,000 images. Split into two sections, the database contains images in both the IR and RGB spectrum. Classifications on both sets of data achieve state-of-the-art when compared to similar research. An accuracy of 99.89% and 99.91% are achieved when classifying the IR and RGB datasets respectively. &lt;/p&gt;
Rainforest IV at 50

Rainforest by David Tudor was a commissioned piece in 1968 for Merce Cunningham’s dance RainForest, in which Tudor experimented with using found objects (with transducers) as loudspeakers (Rogalsky 2006, 93). In 1973, Tudor “gave the piece away” and led a workshop of emerging artists in New Hampshire (Rogalsky 2006, 183-184), expanding the work to the immersive experience known as Rainforest IV. Fifty years later, our goal was to capture the creativity and community of the 1973 workshop, while incorporating new approaches.&#x0D; From exploring scrapyards to borrowing vintage geography equipment from Queen’s University, we collected items that contributed unique acoustics to the sounds we wanted to match with them. Our collection was narrowed down to 30 items chosen by participants during our workshop at the H’Art Centre, a local art centre, after two weeks of testing objects and sounds. Although many types of sounds were used, there was discussion around the use and practice of field recordings. At the end of our workshop, we took our objects to the Baby Grand Theatre, where they were suspended, lit, transducers attached, and fed sounds that suited them best. A significant difference from 1973 was the use of impulse responses, in place of contact microphones, to enhance the sounds. During a 5-hour live performance, our session was recorded and then played back through our objects as a stand-alone installation over the following ten days. &#x0D; I discovered through this process that community is the heart of Rainforest IV. Tudor’s kindness influenced both the participants, through shared meals and encouraging advice (Adams, et al. 2023) and the piece itself. In 2023, shared skills, ideas, and meals helped create both an “electronic ecology” (Rogalsky 2006, 205), and a community. Despite our changes, Tudor’s vision of community was ever present- as if it came from the piece itself.&#x0D; &#x0D; Bibliography &#x0D; Adams, John DS, John Driscoll, Phil Edelstein, Linda Fisher, Ralph Jones, Ron Kuivila, Petr Kotik, and Susan Stenger, interview by Matthew R Rogalsky and Laura J Cameron. 2023. David Tudor's Rainforest IV at 50: A Conversation (July 15).&#x0D; Rogalsky, Matthew R. 2006. "Idea and Community: The Growth of David Tudor's Rainforest, 1965-2006." London: none, April. Accessed 2023.
Approaches to Live Digital Performance Creation

As an artist, thinking about live digital performance, I have always been curious about the intersection between media and wellness and how technology could possibly be applied in a therapeutic setting.&#x0D; I investigated these intersections at FOLDA through participant interaction with live motion capture rendering, at Queens Ingenuity labs, and through social inquiry of virtual space with Prof. M Wheeler at the Isabel Bader Center. This research continued with VR experimentation at the Eastern bloc residency in Montreal hosted by UQAM | Université du Québec à Montréal and the Connected Minds CFREF launch. Finally I was given the opportunity to further my findings through a project creation residency with the Kick and Push Festival.&#x0D; After inquiring into live digital performance, and its broader connections to wellness, I have found that technology can bring audiences together when they are tasked with using it together. The more social and accessible technology is, the more effective it is with producing performance that audiences will also enjoy. This research makes me wonder if audiences prefer to view and interact with performance with technology but not through it.
Design And Build Of Website – Based Cake Sales Information System At Aisyah Cake By Al-Ma’soem Rancaekek

Aisyah Cake By Al-Ma'soem Rancaekek is a food shop that was established on October 2, 2021 at Jalan Rancaekek No. 99, Sayang Jatinangor, Sumedang Regency. At this time the sales system at Aisyah Cake by Al-Ma'soem Rancaekek made sales directly by coming to the store and via telephone to make purchases or ordering goods, to record orders using notes while the sales system was semi-computerized using an application . cashier. The design of information system sales is a system created to solve problems in the sales department at Aisyah Cake By Al-Ma'soem Rancaekek. The method used in this sales information system is OOAD (Object Oriented Analysis and Design) while the model used is RUP (Rational Unified Process) with the development tool in the form of UML (Unified Modeling Language). The purpose of this research is to help alleviate the problems that occur so that the system that is run can be used anytime and anywhere.
COMPARISON ANALYSIS OF SAW AND SMART METHODS DECISION SUPPORT SYSTEMS IN SELECTIONS ONLINE TRANSPORTATION IN CITY COMMUNITIES BANDUNG

Online transportation is transportation based on a particular application, where consumers order a means of transportation through an application system on a smartphone. This change in lifestyle is used by business actors to start business competition in the online transportation business. In the competition regarding price, convenience, driver courtesy, and satisfaction, there are various kinds of online transportation including Gojek, Grab, Maxim, and InDriver. In the end, this becomes a consideration for the selection of online transportation for the people of Bandung City. To overcome these problems, a Decision Support System was developed using 5 criteria including: Ease, Service Quality, Product Quality, Price and Emotional. Comparative analysis between the Simple Additive Weighting (SAW) and Simple Multi Attribute Technique (SMART) methods was conducted to find out how well the level of relevance of each method was to real conditions. Based on the ranking results from the questionnaire of 100 respondents from the Bandung City community, it is known that the distance difference between the rankings in the SAW method is 0.994 and the SMART method is 0.92. Thus, it can be concluded that the SAW method is considered relatively more relevant to be recommended in this type of case than the SMART method.