Reviewerly/exHarmony huggingface dataset:
Speech and Translation Technologies

This chapter explains significant speech and translation technologies for healthcare professionals. We first examine the progress of automatic speech recognition (ASR) and text-to-speech (TTS). Turning to machine translation (MT), we briefly cover fixed-phrase-based translation systems (“phraselators”), with consideration of their advantages and disadvantages. The major types of full (wide-ranging, relatively unrestricted) MT – symbolic, statistical, and neural – are then explained in some detail. As an optional bonus, we provide an extended explanation of transformer-based neural translation. We postpone for a separate chapter discussion of practical applications in healthcare contexts of speech and translation technologies.
Destriping of Remote Sensing Images by an Optimized Variational Model

Satellite sensors often capture remote sensing images that contain various types of stripe noise. The presence of these stripes significantly reduces the quality of the remote images and severely affects their subsequent applications in other fields. Despite the existence of many stripe noise removal methods in the research, they often result in the loss of fine details during the destriping process, and some methods even generate artifacts. In this paper, we proposed a new unidirectional variational model to remove horizontal stripe noise. The proposed model fully considered the directional characteristics and structural sparsity of the stripe noise, as well as the prior features of the underlying image, to design different sparse constraints, and the ℓp quasinorm was introduced in these constraints to better describe these sparse characteristics, thus achieving a more excellent destriping effect. Moreover, we employed the fast alternating direction method of multipliers (ADMM) to solve the proposed non-convex model. This significantly improved the efficiency and robustness of the proposed method. The qualitative and quantitative results from simulated and real data experiments confirm that our method outperforms existing destriping approaches in terms of stripe noise removal and preservation of image details.
The Blockchain Promise

By now, you have probably heard of blockchain. We say it’s one of the new, most innovative technologies, but it’s not new. In fact, it was developed nearly 15 years ago.
The Metaverse

I’m sure you’ve heard a lot about the Metaverse by now. The Metaverse has become a viral topic that's made headlines and captured everyone's attention since Facebook announced its rebranding to Meta.
A Real-Time Human Computer Interaction Using Hand Gestures in OpenCV

In today's rapidly advancing technological landscape, the field of HCI (Human–Computer Interaction) has undergone a significant transformation. One of the most notable developments in HCI is the use of hand gestures as a new method of interaction with computers. In this paper, we apply computer vision techniques to create a virtual mouse and keyboard that can be controlled by hand gestures. Our goal is to develop a system that can recognize and translate hand gestures into actions on the computer, such as clicking, typing and scrolling, which can improve the overall experience of users. Furthermore, this system can be especially beneficial for people with disabilities, as it provides an alternative way to access the computer and its resources. Through the implementation of hand gestures as a new means of communication, this research aims to enhance human–computer interaction.
Into the Web3

Consulting firms and industry experts have paid close attention to the rise of blockchain technology because of its potential to shake up many different industries. Blockchain has been called the most disruptive technology of our time because of its potential to upend current economic structures.
Blockchain and Industry 4.0: The Path to a Smart Hotel

Now that we discussed NFTs and Metaverse it’s time to get down to earth….
Detection of Malaria Parasite Infection Among Children Attending General Hospital Kawo, Kaduna State, Nigeria

Malaria is one of the most common infectious diseases and a great public health problem worldwide. It is one of the world’s deadliest diseases affecting people particularly in tropical and subtropical regions of the world, especially in sub-Saharan Africa and Southeast Asia. This study was conducted to determine the prevalence of malarial parasite among children attending General Hospital Kawo, Kaduna State. A total of 250 blood sample were collected from children at random for malarial parasite infection using Rapid diagnostic test and microscopy. The result showed a prevalence of 77.6% using method of microscopy and 56.0% RDT. It was found that those between ages of 8-10 had the highest prevalence of 44.1%. Based on gender, male had the highest prevalence of 56.6%.The high prevalence of malaria infection recorded in this study may be attributed to the fact that the favourable environmental conditions enhance mosquito breeding and survival. More effort, proper environmental sanitations, legal dumping of waste are needed in the control of malaria in and within the study area, the parents also need enlightenment in the importance of early malaria diagnosis and control. Result from this study also indicates that the blood smear microscopy seems to be better than Rapid Diagnostic Test (RDT) for malaria diagnosis.
Implementation of the apriori algorithm and the topsis method in determining sales patterns at mentaya hafiz furniture

Indonesia's economic growth during the Covid-19 pandemic was not good due to low levels of public consumption. The government and MSME actors are trying to build the economy so that it can survive in all the conditions it faces. This study aims to find out how the implementation of the a priori algorithm and the TOPSIS method determine the sales pattern of a business. The analysis was carried out using two methods, namely the association rule using the a priori algorithm and the TOPSIS method as a decision support system. The analysis of the a priori algorithm produces an itemset of house frames, doors and windows as a combination that meets the 20% support value. Meanwhile, there are three association rules, namely if you buy house frames and doors, then buy windows with a confidence value of 100% and a lift ratio of 1.89. It's the same as the other 2 rules which produce a lift ratio value of more than 1, which means the rule is valid. In the analysis of the TOPSIS method, of the 22 alternatives it is known that alternative A14, namely windows, is ranked 1st as the product that sells the most, followed by alternative A13, namely doors. In addition, there are several products that have the same preference value so that they are also in the same rank, such as cafe chairs, stakes/stones and flower shelves then cafe tables and shoe racks.
A Generative-Adversarial Network-Based Method for Image Synthesis of Diverse Pedestrian

The training and testing of visual recognition algorithms require a large number of target images, but diverse targets in the existing data set are insufficient. Besides, edge cases, such as pedestrian-obscured scenarios, are scarce. In this paper, we propose a method of diverse target generation based on generative adversarial network. The input data are processed by the location module and the shape module, which realize the generation of targets with diverse, realistic shapes at suitable new locations and the generation of obscured targets. By designing two parallel paths, the unsupervised path and the supervised path, the collapse problem is effectively solved. YOLO is selected to test the performance of the generated targets. The results show that the synthesized images are close to the original images and can meet the requirements of augmenting the data set.
A Recommendation System Based on Implicit Data for Internet Protocol Television (IPTV)

IPTV delivers television content over Internet Protocol (IP) networks. Videos On Demand (VOD) is the most popular IPTV, allowing users to freely select from a vast pool of program genres. Therefore, it is necessary to introduce innovative features to attract new users and retain existing ones. For this purpose, IPTV systems typically use VOD recommendation engines. The primary purpose of recommendation systems is to suggest user-relevant items from various items by producing a list of recommendations for each user. In this paper, we introduce an approach to recommendation systems in IPTV. We developed this approach on implicit feedback derived from users’ interaction with movies/series sets, such as how many times they watched a movie and how long they have spent watching specific movies/series. For the previous factors, we tested a variety of recommendation algorithms, content-based, collaborative-based, and hybrid. Then applied the previously mentioned algorithms on real-life big data sets after introducing some modifications to the algorithms, then benchmarked the results on multiple performance metrics. We noticed that the applied changes achieved promising results.
ARTIFICIAL BANKING PAYMENT SECURITY SECURE ATM CARD PAYMENT SYSTEM

-Although new methods are being used in the banking sector today, scams are happening on a large scale these days, the main one being OTP share. OTP is used when making money with ATM card. This OTP banking sector sends to the card holder's mobile number and payments are made using it. With all the options available, such scams require a different approach to the banking sector or an important method, namely, when the bank sends OTP when making payments, a system such as face detection or face identification should be created, in which the bank sends OTP. Face detection or face identification of the person paying the money through a system will be done by taking a photo of the face and putting it on the bank and the bill, so that the card holder will know who is paying the money.
Komparasi Hasil Belajar Matematika pada Penggunaan Model Pembelajaran Quantum Learning Siswa Kelas IV di MIN 1 Ponorogo

The learning model is a set of methods that influence learning so that it is active and conducive. Learning outcomes can experience significant fluctuations due to many factors, one of which is the learning model. The low mathematics results of fourth grade students at MIN 1 Ponorogo are caused by the lack of precise learning models applied.&#x0D; This study aims to (1) determine the mathematics learning outcomes of fourth grade students at MIN 1 Ponorogo using the quantum learning model; (2) knowing the mathematics learning outcomes of fourth grade students at MIN 1 Ponorogo who do not use the quantum learning model; (3) knowing the difference in the mathematics learning outcomes of fourth grade students at MIN 1 Ponorogo between those who use and do not use the quantum learning model.&#x0D; This type of research is quantitative with a posttest-only control-design. The research was carried out at MIN 1 Ponorogo class IV consisting of 48 students with 25 students in Al-Idris class as the experimental class and 23 students in Zaid bin Tsabit's class as the control class.&#x0D; The results of the research are (1) the mathematics learning outcomes of fourth grade students at MIN 1 Ponorogo who use the quantum learning learning model get an average score of 77 with a percentage of the high category value of 12%, the medium category of 76%, the low category of 12%, (2) The mathematics learning outcomes of fourth grade students at MIN 1 Ponorogo who do not use the quantum learning learning model get an average score of 63.78 with a percentage value of 22% in the high category, 56% in the medium category, and 22% in the low category. (3) There is a significant difference in the mathematics learning outcomes of fourth grade students of MIN 1 Ponorogo between those who use and do not use the quantum learning model
Application effect of dual disease management theory in patients with alcoholic cardiomyopathy and heart failure

This paper explores the effect of application of dual disease management theory in the discharge readiness service for patients with alcoholic cardiomyopathy and heart failure. A retrospective study of 70 male patients with heart failure due to alcoholic cardiomyopathy was conducted. All patients were admitted in the hospital from September 2021 to September 2022. The control group was identified through an odd number, and the even number was the observation group, with 35 cases in each group. The control group received routine nursing care, and the observation group received a nursing model based on dual disease management theory, developed on the basis of the control group. The assessment criteria including the discharge readiness, binary coping score, self-efficacy score, self-care ability score and nursing compliance were compared between the two groups. The discharge readiness, patient and caregiver support coping score, self-efficacy and self-care ability scores of the observation group improved, compared to those of the control group, the difference was statistically significant (p &lt; 0.05). The nursing compliance of the observation group was 91.4 %, statistically significantly higher (p &lt; 0.05), compared to that of the control group (71.4%). The findings in this paper suggest that dual disease management theory applicable to the routine nursing can improve the nursing compliance and self-efficacy of patients with alcoholic cardiomyopathy and heart failure and self-care ability. Therefore, the dual management theory can effectively contribute to improving the level of patient support, response and patient care compliance.
Outcome prediction for critical care patients with respiratory neoplasms using a multilayer perceptron neural network

Highlights Two artificial neural networks, type of multilayer perceptron, and a random forest model were developed. Multilayer perceptron and random forest were compared to the OASIS, SAPS, SAPS II, SAPS III, LODS, SOFA, and EVCI Scores. Discrimination was assessed with the receiver operator characteristic and precision-recall curves. Calibration of the predictive models was evaluated with the Brier Score. ABSTRACT Objective The variation in mortality rates of intensive care unit oncological patients may imply that clinical characteristics and prognoses are very [...]
The Development of English Learning Video on Recount Text to Enhance Students’ Reading Comprehension Skill.

&#x0D; &#x0D; &#x0D; &#x0D; In this age of technology, teachers must make learning materials exciting and beneficial to students. Some apps like Canva can help teachers create various English learning materials. Based on the researcher's observations, The researcher found several problems with students reading. This study aimed to investigate the development of an English learning video on recount text to improve the reading comprehension skills of tenth-grade students of SMA 5 Pekanbaru. The researcher used a model called Research and Development. The sampled class is grade X.7, The number of students in this study is 34. From the Researcher findings there was showed an improvement from the score of the t-test. The total score of the t-test was 33.42%. Based on the p-value was 0.000 &lt; 0.05. Therefore, there was a development of applying video toward students reading comprehension of recount text at the tenth-grade students of SMA 5 Pekanbaru.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Educational Perspective in the Literature of Rashtrasanth Tukdoji Maharaj: A Comprehensive Study

Rashtrasanth Tukdoji Maharaj (1909-1968), a revered figure in Indian history, was not only a spiritual leader but also a prolific writer. His literature, rich in spiritual and social themes, has been a source of inspiration for many. This paper delves into the educational perspective in his literature, highlighting its significance in shaping the educational philosophy in India. His educational perspective, as reflected in his literature, is remarkably relevant in contemporary education. His emphasis on holistic, value-based education aligns with the current educational discourse advocating for a more comprehensive approach to education. His focus on social consciousness and lifelong learning resonates with the 21st-century skills of global citizenship and lifelong learning. Moreover, his advocacy for empowerment through education echoes the global commitment to inclusive and equitable quality education.
Hangang School’s Research Status, Achievements and Tasks

Hangang Jeong Gu can be considered a representative Yeongnam regions’s scholar of the late sixteenth and early seventeenth centuries. He was a scholar who followed in the footsteps of both Emperor Lee Hwang and Jo Sik, and developed his studies especially in the fields of psychology and art. He was a scholar who inherited from the scholastic mantle of Lee Hwang and Jo Sik, and developed his own scholarship, especially focusing on study of mind and study of ritual. He was active mainly in the Yeongnam region centered on Seongju and Daegu. The Yeongnam region was located on the road to the Japanese invasion during the Japanese invasion of Korea in 1592 and directly suffered the damage. For this reason, after the Japanese invasion of Korea in 1592, those who led the righteous army activities in the Yeongnam region led the academic world, and among them, there were many figures of the Hangang School, including Jeong Gu. Studies on Jeong Gu have been accumulated for about 40 years, starting in 1985, and are being studied in various fields such as literature, history, and philosophy. And as the research on Jeong Gu progressed, the Hangang School, which inherited the academic flow of Jeong Gu, was gradually studied. In this paper, research on the Hangang School is largely divided into four categories: the external appearance and status of the Hangang School, the aspect of academic transmission of Jeong Gu, the growth and expansion of the Hangang School, and the social practice of the Hangang School. First of all, the denotation and status of the Hangang School were examined through Hoiyeongeupmunjehyeonrok and Bongsanyokhangrok. Hoiyeongeupmunjehyeonrok is Jeong Gu’s literary record, which examines the overall scale and extension of the Hangang School, and through Bongsanyokhangrok, Jeong Gu’s academic influence at the time, as well as the bonds and solidarity within the school can be confirmed. And the aspect of Jeong Gu’s academic transmission was examined through Hangangeonhaeongrok, a collection of Jeong Gu’s words and actions. Through this, it is possible to confirm Jeong Gu’s academic thoughts passed down to the Hangang School. In addition, the growth and expansion of the Hangang School can be confirmed through the process in which a large number of second-generation and third-generation Confucian scholars in the Daegu region who were active at the time were absorbed into the Hangang School as Jeong Gu moved his lecture center from Seongju to Daegu and Chilgok. In addition, as one of the aspects of social practice of the Hangang School, it can be confirmed through the development of righteous armies activities during the Japanese invasion of Korea in 1592. Lastly, it contains contents about some tasks in the study of the Hangang School in the future.
PENGEMBANGAN BAHAN AJAR MATERI BARISAN DAN DERET BERBASIS PERSONALIZED SYSTEM OF INSTRUCTION

This study is intended to develop sequence and series materials based on the Personalized System of Instruction (PSI). The PSI is a private-based or modified individual with a cooperative learning system using a modular system where learners are assisted by a tutor, the system is the one that has a role as tutor here. The developed teaching material is a high school level e-module. The design used is the ADDIE model of the five stages of analysis, design, development, implementation, and evaluation. The analysis phase includes needs analysis and curriculum analysis. The design phase produces PSI-based e-modules. The development stage produces teaching materials that have been validated by experts and practitioners get very feasible criteria, based on aspects of content feasibility, linguistic aspects, data presentation aspects, and graphic aspects. The implementation stage was carried out by 70 students with above-average KKM. The evaluation stage shows that the results of the analysis of the e-module assessment questionnaire data by students get appropriate. That this teaching material in the form of an e-module is worthy of being an alternative teaching material at the high school level.
Evaluation of patient understanding of pharmaceutical pictograms for tuberculosis treatment

Background: Pharmaceuticalpictograms can be used to help tuberculosis patients understand treatment information, especially those with low reading skills.Objective: This study aimed to analyzethe guessability score and the level of understanding of pharmaceutical pictograms related to the use of TB drugs.Method: This was an observational study with a cross-sectional design. The sample used was 96 TB patients who were actively undergoing treatment.The guessability score and level of understanding were analyzed descriptively, while the relationship between socio-demographic characteristics and the level of understanding of pharmaceutical pictograms was analyzed using the Chi-square test.Results: The results showed that theguessability score of 23 pictograms tested on respondents varied greatly, with a score range of 29.2%–99%. Meanwhile,the level of respondents' understanding of pharmaceutical pictograms related to TB treatment wasin the "fair" category. The Chi-square test showed a significant relationship between the level of respondents’ education and theirunderstanding of pharmaceutical pictograms.Conclusion:The findingsofthis study demonstratedthat not all pictogram images were simple for respondentstounderstand. It is necessary to choose pictogram images that are easy for respondents to understand or redesign pictogram images so that they can be used to improvethe effectiveness of drug information delivery to patients
WEBSITE RESEARCH AS A SOURCE OF ONLINE INFORMATION FOR STUDENTS IN STUDYING ISLAM

The development of information technology takes place rapidly along with the development of an increasingly advanced era. This also has an impact on the ease of access to information anywhere and anytime. The information accessed is not only related to general information, but also information related to religious knowledge. However, not all websites/sites that seek information can be trusted, so accuracy and caution are needed in processing the information obtained. This study aims to find out websites that are used as references for students in studying Islam and students' considerations in believing in the information obtained on these websites.This study uses a descriptive qualitative research method involving students of the Universitas Islam Indonesia from various majors and years. Determination of informants is done through purposive sampling technique and data collected through interviews. Analysis of the data that has been collected is carried out through data reduction, data presentation, and drawing conclusions. The results of this study show that in general there are 7 websites that are used as references for students in studying Islam, including guidanceislam.com, islam.nu.or.id, yotube.com, muslim.or.id, studisyariah.com, rumaysho, suara Muhammadiyah. The reason students trust the information obtained from the website is because the ustadz have an understanding of ahlussunah wal jama'ah and are trusted, the information provided is complemented by aqli arguments, naqli arguments, as well as scientific sanad, relevant to the book being read, and the website used is trusted.