Reviewerly/exHarmony huggingface dataset:
Analisis Sentimen Ulasan pada Aplikasi E-Commerce dengan Menggunakan Algoritma Naïve Bayes

The rapid development of E-commerce has given rise to many marketplaces in Indonesia such as Tokopedia, Shopee, Lazada. Tokopedia, Shopee and Lazada applications are applications that help sellers and buyers to make sales and purchase transactions for goods and services. Until now, of the three major E-Commerce applications, around 100 million users have downloaded the three E-Commerce applications. With the launch of some of these applications, it has caused a lot of opinions and criticisms from the public. Based on this, a sentiment analysis of the Naïve Bayes algorithm was carried out to find out how the sentiment of users compares to the E-Commerce application on the Google Play Store. This research uses the Knowledge Discovery in Database (KDD) method which consists of 5 stages, namely data selection, preprocessing, transformation, data mining, and evaluation. The data used is a review of 500 E-Commerce applications per each application. At the data mining stage, it is carried out with 3 scenarios data sharing is 80:20, 70:30 and 60:40. The best results were obtained in scenario 1 (80:20) on the Shopee application using the Naïve Bayes algorithm which resulted in an accuracy of 92%, precision of 92.13%, recall of 98.8% and f1-score of 95.35%.
EFEKTIVITAS METODE LEARNING START WITH A QUESTION TERHADAP HASIL BELAJAR IPS DI KELAS V

Abstract: The Effectiveness of the Learning Start With a Question Method on Social Studies Learning Outcomes in Class V. Learning outcomes are changes in behavior in the form of knowledge or understanding, skills and attitudes obtained by students during the learning process. Therefore, the difficulty that often arises in dealing with learning outcomes is the how the effectiveness of the learning outcomes. Based on this, the problem in this studies learning outcomes for class V. the purpose of this study was to determine the effectiveness of the learning start with a question method on social studies learning outcomes for class V. the research method used is a quantitative method. From the result of the hypothesis test, the value of tcount = 11.612 when compared to ttable = 1,67, value og 11,612 &gt; 1,67 in this case means Ho is rejected and Ha is accepted, therefore the hypothesis of this study is the learning start method with a question is effective on the result student learning after being given treatment in class VA. Social studies learning outcomes can be improved through the methods used by teachers in teaching. One method that is effective in improving social studies learning outcomes for class V is the learning start with a question method.Keyword: Metode learning start with a question, Hasil belajarAbstrak: Efektivitas Metode Learning Start With a Question Terhadap Hasil Belajar IPS di Kelas V. Hasil belajar merupakan perubahan perilaku yang berupa pengetahuan atau pemahaman, keterampilan dan sikapyang diperoleh peserta didik selama berlangsungnya proses pembelajaran. Oleh karena itu, kesulitan yang sering muncul dalam menghadapi hasil belajar adalah kesulitan untuk meningkatkan hasil belajar. Berdasarkan hal tersebut maka masalah dalam penelitian ini adalah bagaimana efektivitas metode learning start with a question terhadap hasil belajar IPS kelas V. Tujuan penelitian ini untuk mengetahui efektivitas metode learning start with a question terhadap hasil belajar IPS kelas V. Metode penelitian yang digunakan adalah metode kuantitatif. Dari hasi uji hipotesis didapatkan nilai thitung = 11,612 jika dibandingkan dengan ttabel = 1,67 maka nilai 11,612 &gt; 1,67 dalam hal ini berarti Ho ditolak dan Ha diterima maka dari itu hipotesis penelitian ini adalah metode learning start with a question efektiv terhadap hasil belajar siswa setelah diberikan perlakuan pada kelas VA. Hasil belajar IPS tersebut bisa ditingkatkan melalui metode yang digunakan guru dalam mengajar. Salah satu metode yang efektiv dalam meningkatkan hasil belajar IPS kelas V adalah metode learning start with a question.Kata Kunci: Metode Learning Start With a Question, Hasil Belajar
Towards Context Aware Sustainable Cities

The breathtaking advance of technologies and communications and 24/7 universal access to Internet has transformed the cities in which we live into interconnected spaces where we are constantly sending and receiving data.Thanks to this amount of information, the services offered to us by cities can be much better tailored to the needs of citizens and particularized according to their context.However, this has its difficulties: obtaining context in time and being able to properly correlate data from different domains that could provide contextual information for others.In this paper we outline a proposal to address these challenges and illustrate it through a case study.
Regularising disparity estimation via multi task learning with structured light reconstruction

3D reconstruction is a useful tool for surgical planning and guidance. Supervised methods for disparity/depth estimation are the state of the art, with demonstrated performances far superior to all alternatives, such as self supervised and traditional geometric methods. However, supervised training requires large datasets, and in this field, data is lacking. In this paper, we investigate the learning of structured light projections to enhance the development of disparity estimation networks. Improving supervised learning on small datasets without needing to collect extra data. We first show that it is possible to learn the projection of structured light on a scene. Secondly, we show that the joint training of structured light and disparity, using a multi-task learning (MTL) framework, improves the learning of disparity. Our MTL setup outperformed the single task learning (STL) network in every validation test. Notably, in the generalisation test, the STL error was 1.4 times worse than that of the best MTL performance. A dataset containing stereoscopic images, disparity maps and structured light projections on medical phantoms and ex vivo tissue was created for evaluation together with virtual scenes. This dataset will be made publicly available in the future.
The age-related effect of face masks on face identity and emotion perception.

The current study aims to investigate the effects of masks on the discrimination of facial identity and emotional expressions in younger and older adults. Masks that occlude the lower half of the face should impair the discrimination of disgust and happiness, which rely largely on visual structure near the mouth. However, masks may affect identification differently in younger and older adults: young adults rely strongly on informative structure near the eyes for face identification, whereas older adults are less specifically reliant on the eye region for face identification. Using a Garner Interference Task, participants judged if two female faces presented sequentially showed different persons (identity task) or different emotional expressions (emotion task). Faces were randomly shown in three blocked conditions: unmasked faces, faces with the lower half covered by a surgical mask, or faces with features in the lower half removed. Obscuring the lower half of the face, by mask or removal, significantly impaired emotion perception in both age groups. Face identification was more accurate in younger adults than older adults in all conditions, but masks affected performance differently in two age groups. Specifically, obscuring the lower half improved identification in older adults, but did not significantly impact performance in younger observers. These results suggest that masks may affect social communication differently in younger and older adults.
The Influence of the Other-Race Effect on Morphed Face Identification

Passport officers and Automated Border Control (ABC) gates are susceptible to face-morphing attacks, wherein a blended/morphed image of two different identities is mistaken for either original identity (Nightingale et al., 2021). Face identification is also affected by the Other-Race Effect (ORE), in which own-race faces are identified more accurately than other-race faces. We examined the ORE in face-morph identification. East Asian (EA) and Caucasian (CA) participants (N=60) completed a face-identity matching test for pairs of EA and CA face images (32 same-identity, 32 different-identity image pairs). In the morph condition, different-identity pairs consisted of a natural image of identity A with a 50% morph of identities A and B. Same-identity pairs consisted of an image of A and a morph of two different images of A. In the baseline condition, face pairs were made from unedited images. Participants indicated whether image pairs showed the same or different identities, using a 5-point scale (1: sure same; 5: sure different). Performance was measured using the area-under-the ROC curve (AUC). Performance was less accurate for morph pairs than baseline pairs (p< .001). A 3-way interaction between participant race, face-image race, and condition (p=0.038) showed that East Asians identified EA morphs more accurately (AUC=0.73) than CA morphs (AUC=0.70) and Caucasians identified CA morphs (AUC=0.77) more accurately than EA morphs (AUC=0.70). A deep convolutional neural network (DCNN) (Ranjan et al., 2018) trained for face identification attained an AUC=1.0 for baseline images and performed better for EA morphs (AUC=0.92) than CA morphs (AUC=0.86). Therefore, humans show an ORE for morphs that compounds the difficulties associated with face-morph attack detection. Further, DCNN performance was affected by morphs; however, this did not reflect the pattern seen with human participants.
The Extent to Which Communication Apprehension Contributes to Psychological Loneliness in the Elderly Recovering from Covid-19 in Jordan

Objectives: This study aimed to identify the level of communicative apprehension and psychological loneliness, and to verify the relative contribution of the elements of communicative apprehension to psychological loneliness among the elderly recovering from the (Covid-19) virus in Jordan, and to identify the difference in communicative apprehension and psychological loneliness according to gender.&#x0D; Methods: To achieve the objectives of the study, the study was conducted on an available sample of 158 elderly recovering from the (Covid-19). The descriptive relational analytical method was used by sending the link to several groups through the convenience sampling. The communicative obsessiveness scale was also developed, relying on the Obeid scale (Obeid, 2010) of psychological loneliness in the elderly, and the psychometric properties of the two scales were verified for validity and reliability.&#x0D; Results: The results showed that there is a medium level of communicative apprehension, and a high level of psychological loneliness, and that the dimensions of communicative apprehension predict an amount of (27%) of psychological loneliness, and that communicative apprehension is higher in males than in females. Based on the results of the study.&#x0D; Conclusions: The factors associated with communication apprehension and psychological loneliness in the elderly should be known, by studying different demographic variables.
Dairy Farm

In today's world where every aspect of our lives if finding its way over the internet, it becomes a necessity for us to use the internet. The internet has been benefitting millions but certain portions of the society remains unversed with its advantages. Considering today's scenario, buying products by physically moving to places has become a real task for people. To provide an ease to this situation online e-commerce web applications are developed to provide an aid to the people in buying products at the comfort of their homes. On the same lines, the idea of this web application was developed . The basic idea of the whole project is to develop an android application similar to B2B websites and applications for a specific target product, i.e. the dairy products. This android application is built for a specific target product, which is of immense importance in our day to day lives. Every household requires milk and dairy products and there has not been any significant advancement in this specific area. This application tries to bridge the gap between the milk producers and their processors as they are often not in direct contact with each other and hence suffer due to these reasons. This will save their time and resources which are often wasted in the search for the right manufacturers for them. The application will benefit the producers, the processors as well as us being the users. The producers will benefit from the application as it will widen their reach and can even make them go global. On the other hand, The consumers can see and compare the rates and prices of the different dairy products from different producers and hence choose the most suitable one for them. The application will also try to incorporate the facility to contact the producers so that the consumers can reach them through either phone or message. A lot of factors will be taken into consideration while searching for products. The application will have two modes for its working: one for the consumers and other for the producers.
The Use of PowerPoint and Video as Learning Media in Online Learning and Physics Learning Outcomes in High School

This study aims to discover and see how power points and videos are used during online learning as well as its effects on student learning outcomes in online learning on light wave material in class XI Science SMA Negeri 1 Bongomeme, SMA Negeri 1 Dungaliyo and SMA Negeri 1 Tibawa. The research method used is descriptive quantitative. The research subjects were 283 students of class XI science. Data collection techniques used were questionnaires and learning outcome tests. The data analysis technique used were descriptive and quantitative analysis. The results of this study indicate that, based on their respective indicators, the use of power points and films/videos in online learning obtain a percentage value of 80.25% and 79.97% respectively, both of which are included within the criteria of strong. On average, the student learning outcomes in three schools are above minimum require score (KKM) of 75. Here, the average value of student learning outcomes at SMA Negeri 1 Bongomeme 77.52, SMA Negeri 1 Dungaliyo 79.18, SMA Negeri 1 Tibawa is 80.91.
Physical Visitor Access Control and Authentication Using Blockchain, Smart Contracts and Internet of Things

In this work we explore the use of blockchain with Internet of Things (IoT) devices to provide visitor authentication and access control in a physical environment. We propose the use of a “bracelet” based on a low-cost NodeMCU IoT platform that broadcasts visitor location information and cannot be removed without alerting a management system. We present the design, implementation, and testing of our system. Our results show the feasibility of implementing a physical access control system based on blockchain technology, and performance improvements over a similar system proposed in the literature.
Control of Devices by Hand Gestures

Gesture control technology is gaining importance because of the rapid increase in automation. Laptop Control Using Hand Gestures is one such technique to detect gestures made by hand or body which act as an input to communicate with the PC or laptop. In this project we have made use of hardware components including Arduino UNO, Ultrasonic Sensors (Range Sensors) and connecting wires along with Arduino code and Python code for implementation of the project. The Ultrasonic sensor detects the hand gestures and this when integrated with Arduino and Python code performs actions accordingly on the laptop screen. This technology is rapidly in the field of VR, AR, 3D Design, medical, etc. It will be quite handy for paralyzed patients. Since they have great difficulty in controlling the mouse and typing on the keyboard, they can easily perform hand gestures which perform actions accordingly on the screen. One of the key areas which requires development is sensing gestures accurately. We feel that if we are successful in meeting our goals then we will consider ourselves as contributors to the future of natural gesture based interfaces. Keywords — Hand gesture, Ultrasonic sensors, Arduino UNO, Python
Single-Shot Global and Local Context Refinement Neural Network for Head Detection

Head detection is a fundamental task, and it plays an important role in many head-related problems. The difficulty in creating the local and global context in the face of significant lighting, orientation, and occlusion uncertainty, among other factors, still makes this task a remarkable challenge. To tackle these problems, this paper proposes an effective detector, the Context Refinement Network (CRN), that captures not only the refined global context but also the enhanced local context. We use simplified non-local (SNL) blocks at hierarchical features, which can successfully establish long-range dependencies between heads to improve the capability of building the global context. We suggest a multi-scale dilated convolutional module for the local context surrounding heads that extracts local context from various head characteristics. In comparison to other models, our method outperforms them on the Brainwash and the HollywoodHeads datasets.
Preface: 2022 International Conference on Advances in Financial Technology and Economic Management (AFTEM 2022)

The 2022 International Conference on Advances in Financial Technology and Economic Management (AFTEM 2022) was held during September 10-11, 2022 in Lyon, France. Aiming at providing an excellent international academic forum for all the researchers and practitioners, the conference enjoys a wide spread participation among all over the universities and research institutes.&#x0D; AFTEM 2022 provides opportunities for the delegates to exchange new ideas and application experiences, establishes business or research relations and global partners for future collaboration. This conference proceeding tends to collect the most up-to-date, comprehensive, and worldwide state-of-art knowledge on financial technology, economic management, business, marketing and other related topics. All the accepted papers have been submitted to strict peer-review by 2-3 expert referees. The conference program is extremely rich, profound and featuring high-impact presentations of selected papers and additional late-breaking contributions.&#x0D; We sincerely hope that the conference would not only show the participants a broad overview of the latest research results on related fields, but also provide them with a significant platform for academic connection and exchange. We would like to express our sincere gratitude to all the keynote speakers, editors and organizers for their hard work, precious time and endeavor preparing for the conference. Our deepest thanks also go to the volunteers and staffs for their long-hours work. We would like to thank each and every of the authors, speakers and participants for their great contributions to the success of AFTEM 2022.&#x0D; Organizing Committees of AFTEM 2022&#x0D; Lyon, France
Translation Strategy of English Phrasal Verb in Novel “The Devil All The Time” By Pollock

This study aims to analyze the translation strategy of the Phrasal Verb in the novel The Devil All the Time. The theory used in this study is the kinds of phrasal verb from Wyatt and theory of Baker for the translation strategy. This study used qualitative descriptive method. The result of the study showed that: there are five phrasal verb found in this novel, namely, 15 intransitive phrasal verb(48,38%), 9 transitive phrasal verb where the object can come in one of two positions (29,03%), 2 transitive phrasal verbs where the object must come between the verb and the particle (6,45%), 3 transitive phrasal verbs where the object must come after the verb and the particle (9,67%), 2 transitive phrasal verbs with two object, one object is between verb and particle and the other one after the particle (6,45%);there are 4 types of translation strategies used by the translators of this novel, namely, data 9 translation by a more general word (29,03%), 14 translations by a more neutral/less expressive word (45,17%), 6 translations by paraphrase using a related word (19,35%), 2 translations by paraphrase using unrelated words (6,45%).
Study on the Influence of the Value Conveying of Emoticons in Mobile Chat Tools on Users' Motivation and Intention: a Case Study of Middle-aged and Elderly Wechat Users

In this study, Wechat, China's mainstream social software, was chosen as the media, and through the combination of online and offline surveys, this study conducted a questionnaire survey on WeChat emoticon users over 45 years old, so as to explore the impact of the value conveyed through WeChat emoticons on the motivation and intention of middle-aged and elderly users. First of all, this study conducted the research through the combination of literature research and interviews. Through online questionnaire distribution and offline face-to-face interviews, the researcher modified the items of the pre-test questionnaire, constructed 6 dimensions with 18 evaluation indicators, collected 326 valid questionnaires, and conducted data analysis through SPSS. By building a structural equation model, this study explored the factors affecting the usage intention of WeChat emoticons of middle-aged and elderly users. The results show that there is a significant positive correlation between the four variables. Based on the research findings, this study makes several suggestions to provide reference for the design of emoticons for middle-aged and elderly users in the future.
Smart Home Tech: an interface to provide feedback to caregivers of persons living with cognitive impairment

Home-based sensor technologies can detect information on daily activities, such as sleep, activity level, and time spent together. This is relevant information for care partners of individuals with cognitive impairment as it can detect early changes in daily activities and cognition. The challenge is how to present thousands of data points to care partners in real-time, allowing them to make adjustments in their daily routine to help reduce burden.The Collaborative Aging Research using Technology (CART) sensor platform was installed in 4 Ottawa homes of persons with cognitive impairment and their care partner. This system includes contact and motion sensors to assess home activity, a smart watch to record steps and sleep patterns, a bed sensor, and medication tracking pillboxes. Questions regarding areas of stress, the types of information that caregivers would like to receive, and how to receive their data were posed in focus group discussions involving caregivers with and without the sensor platform. An interface was designed based on participant input.Eight care partners (75% female) aged 30 to 81 participated in focus groups that obtained their opinions on the usefulness of a feedback system, its content, layout, and frequency in which care partners would like to receive their sensor information. The majority of participants wished to be sent their sensor information on a weekly basis in easy to interpret graphical formats that summarized information for them. An algorithm that collects sensor data, parses appropriate measures; steps, sleep, time together in a room, and displays it in graphical representation, was developed. The user interface displays the daily summary compared to the weekly average, with the ability to navigate between day and weekly views.Sensor-based data needs to be displayed in an efficient and convenient manner if it is going to be used by care partners to help guide changes in behavior to reduce stress. This project designed an interface, based on user feedback. This system also has the potential to be used by clinicians to evaluate longitudinal cognitive decline. Next, we will provide participants with the CART system with sample visual reports and gather their feedback.