Reviewerly/exHarmony huggingface dataset:
Sharing Feelings via Mini Robot Gestures

Sharing feelings is essential to empathic communication. This demo allows participants to send and receive emotional signals using a pair of small robots. The robots’ gestures take advantage of the mobility and embodied qualities of robots, and explore a new modality of social signaling that could enhance what is possible through purely digital interfaces. This prototype is part of a larger inquiry into the expressive capabilities of distributed bot systems for empathic communication and connection. Participants will be able to engage in a robot-based emotional exchange using a mobile-device-based interface that offers 6 pre-set robot gestures.
Can Virtual Reality Improve Pharmacology Education in Medical Students?

<b>Abstract ID 14902</b> <b>Poster Board 192</b> <b>Background:</b> Virtual reality (VR) is a powerful tool that allows participants to learn by exploring and manipulating an immersive 3D environment. In recent years, VR technology has successfully been applied in some areas of health professional education, including anatomy and clinical skills. The 3D immersive visualization in VR can potentially be applied to learn complex pharmacology topics. Despite its potential, the application and effectiveness of VR technology in pharmacology education are mainly unknown. The present study aims to investigate the effectiveness of VR technology in learning complex pharmacological concepts. <b>Methods:</b> A prospective mixed methods design was used for this study. Undergraduate medical students at the University of Illinois College of Medicine evaluated a VR learning module on cardiovascular drugs affecting the autonomic nervous system. The 3D assets and visualizations for the VR module were developed by the Jump simulation center. The participants (n=20) were briefed on the operation of the HTC Vive headset and the virtual interface (Enduvo) before the intervention. The pharmacology knowledge was assessed using a pre- and post-intervention test. The students also participated in a post-intervention survey of 10 items (5-point Likert scale) and an open-ended question on learner satisfaction, ease of use, perceived usefulness, quality of visual elements, intention to use, and comfort level regarding the VR experience. <b>Results:</b> The participants scored significantly higher in the post-intervention test than in the pre-intervention test (p &lt; 0.05, paired t-test). The post-intervention survey demonstrated high internal reliability (Cronbach’s alpha &gt; 0.8). Most of the participants agreed that they were satisfied with the VR module (90%), the VR was easy to use (90%), and their time was efficiently used (90%). A minority of participants thought they would have preferred a traditional learning format (15%), and some participants felt VR caused feelings of discomfort (20%). The majority of the comments regarding the VR module were positive. <b>Conclusions:</b> Our data suggest that VR-based learning improves pharmacology knowledge in medical students, and most undergraduate medical students are receptive to this innovative learning tool. Therefore, immersive VR technology has the potential to make pharmacology education deeply engaging by providing 3D visualization of complex drug actions. Further studies are needed to compare the effectiveness of VR-based learning with traditional passive learning approaches in pharmacology education. <b>Support/Funding Information:</b> Dean9s Award for Innovative Medical Student Education (UICOMP) and OSF Healthcare Foundation.
User Experience and The Role of Personalization in Critiquing-Based Conversational Recommendation

Critiquing — where users propose directional preferences to attribute values — has historically been a highly popular method for conversational recommendation. However, with the growing size of catalogs and item attributes, it becomes increasingly difficult and time-consuming to express all of one’s constraints and preferences in the form of critiquing. It is found to be even more confusing in case of critiquing failures: when the system returns no matching items in response to user critiques. To this end, it would seem important to combine a critiquing-based conversational system with a personalized recommendation component to capture implicit user preferences and thus reduce the user’s burden of providing explicit critiques. To examine the impact of such personalization on critiquing, this paper reports on a user study with 228 participants to understand user critiquing behavior for two different recommendation algorithms: (i) non-personalized , that recommends any item consistent with the user critiques; and (ii) personalized , which leverages a user’s past preferences on top of user critiques. In the study, we ask users to find a restaurant that they think is the most suitable to a given scenario by critiquing the recommended restaurants at each round of the conversation on the dimensions of price, cuisine, category, and distance. We observe that the non-personalized recommender leads to more critiquing interactions, more severe critiquing failures, overall more time for users to express their preferences, and longer dialogs to find their item of interest. We also observe that non-personalized users were less satisfied with the system’s performance. They find its recommendations less relevant, more unexpected, and somewhat equally diverse and surprising than those of personalized ones. The results of our user study highlight an imperative for further research on the integration of the two complementary components of personalization and critiquing to achieve the best overall user experience in future critiquing-based conversational recommender systems.
HANDWRITING TO TEXT CONVERTER WEB APPLICATION

The Handwriting to Text Converter web application project is a software tool that converts handwritten text into digital text.The application is designed to be user-friendly and intuitive, with a simple interface that allows users to upload their handwritten notes and easily convert them into digital text.The application uses image processing algorithms to analyze the input image of handwritten text and recognize the characters in it.The recognized characters are then converted into digital text using machine learning techniques such as artificial neural networks.The application supports a variety of handwriting styles and can recognize handwritten text in multiple languages.The handwriting to text converter web application project is useful for individuals who prefer to take handwritten notes but need a digital copy for sharing, editing, or archiving purposes.The application can be accessed through any web browser, making it easy to use on any device with an internet connection.The key features of the handwriting to text converter web application include the ability to upload handwritten notes in various file formats, including PDF, JPG, and PNG.The application also includes advanced image processing techniques that can enhance the quality of the input image and improve character recognition accuracy.Additionally, the application supports editing and formatting tools that allow users to edit and customize the converted digital text.
Parental involvement and school indiscipline among secondary school students in calabar south local government area of cross river state, nigeria

Indiscipline in secondary school has persisted over the years, taking a new and frightening tone that seems like a bone in the throat. This study investigated the influence of parental involvement in terms of interference with child punishment and confronting teachers openly on school discipline of secondary school students. Two research questions were raised to guide the study. The literature review was done according to the variables under study. The survey design was adopted for the study. The population consists of all parents of Public Secondary Schools. Ninety three (93) parents purposively selected from the Parents Teachers Association of the 7 Public Secondary Schools in Calabar South Local Government Area of Cross River State constituted the sample for the study. A Four (4) point Likert questionnaire titled “Parental Involvement and School Indiscipline Questionnaire"(PIASDQ) was the instrument used for data collection. The validity of the instrument was determined by four (4) experts in Educational Psychology and Measurement and Evaluation units respectively, all from the Department of Educational Foundations. While Crunbach Alpha reliability was used to determine the reliability at .73 level of significance. Data collected were analyzed using descriptive statistics. Based on the findings, it was recommended among others that parents should be encouraged to correct their children's wrongdoings at home as the home is the first school, modalities for effective disciplinary measures should be discussed strongly in PTA meetings to get the views of parents, and also check brutality on the part of the teachers.
Using technology-based vocabulary instruction inside and outside of the classroom

Introduction The current pre-test post-test study explored the use of WhatsApp for vocabulary acquisition inside and outside the English as a Foreign Language classroom. Methods Native Arabic undergraduate students learned English vocabulary items both inside and outside of the classroom using WhatsApp groups. Pre- and post-tests gauged participants, knowledge of the vocabulary items used in the intervention as well as control items. An additional questionnaire explored participants' satisfaction with using WhatsApp inside and outside of the classroom. Results We found a small, but significant, vocabulary learning effect for using WhatsApp outside of the classroom, but no such effect for the use of WhatsApp inside the classroom. The questionnaire results additionally showed that students were highly satisfied with the use of WhatsApp to learn vocabulary, especially in terms of instructor availability. Finally, we found that students who were more motivated to use WhatsApp inside the classroom showed higher learning gains inside the classroom than those less motivated. Discussion We discuss the results with respect to the role of space and motivation for vocabulary acquisition using technologies such as WhatsApp.
Penerapan Model Pembelajaran Kooperatif TGT (Teams Game Turnamens) untuk Meningkatkan Motivasi dan Prestasi Belajar Siswa MAN 2 Pesisir Selatan

This study aims to determine the increase in learning motivation and student learning outcomes of MAN 2 Pesisir Selatan applying the TGT (Teams Game Tournament) cooperative learning model. The approach used in the research here is a qualitative approach and the type of research is Classroom Action Research (PTK). PTK is an examination of learning activities in the form of an action, which is deliberately raised and occurs in a class together (Arikunto, 2006:3). The research will be carried out in 2 cycles, each consisting of 4 stages. The research design used consisted of 4 components, namely planning, action, observation and reflection. The research subjects were students of class XI IA3 at MAN 2 Pesisir Selatan in the odd semester of 2018/2019, a total of 36 students. The results of the study show that first, the application of the TGT (Teams Game Tournaments) cooperative learning model can increase student motivation in MAN 2 Pesisir Selatan. Second, the application of the TGT (Teams Game Tournaments) cooperative learning model can improve student achievement at MAN 2 Pesisir Selatan.
A WEB BASED SYSTEM FOR MOOD DETECTION AND PERSONALIZED RECOMMENDATION SUPPORT FOR STUDENTS

Our study attempts to provide a system based o nan ML-based internet application called Mood Mission that assesses the user's mental health.A questionnaire filled out by the user is an effective way to track mood of the user.A survey found that the application required an authentication solution to keep data safe.An app should be simple to use and provide alternatives for the user to relax while controlling their stress.To gauge user reactions, the system includes a simple quiz.After evaluating the user's answer with machine learning, the system will offer music, movies, videos, books, and articles depending on the user's tastes.Utilizing this program can help someone overcome stress and change their attitude.
Hand Cricket Game Using CNN Squeeze Network

The game of Hand cricket is a popular childhood game that involves the use of hands and fingers to simulate a cricket match.In this paper, we propose a novel approach to enhance the game by introducing the use of squeeze sensors and implementing a deep neural network for execution.The squeeze sensors are used to detect the hand gestures of the players and transmit the data to the deep neural network for analysis.The deep neural network then generates the appropriate response for executing the game, such as displaying the score and determining the winner.Our experimental results demonstrate that the use of squeeze sensors and deep neural networks can significantly enhance the game of Hand cricket, providing a more engaging and interactive experience for players.
A domain semantics-enhanced relation extraction model for identifying the railway safety risk

Abstract The identification of railway safety risk is important in ensuring continuous and stable railway operations. Most works fail to consider the important relation between detected objects. In addition, poor domain semantics directly degrades the final performance due to difficulty in understanding railway text. To solve these challenging issues, we introduce the triple knowledge from knowledge graph to model the railway safety risk with the knowledge interconnection mode. Afterward, we recast the identification of railway safety risk as the relation extraction task, and propose a novel and effective D omain S emantics- E nhanced R elation E xtraction (DSERE) model. Specifically, we design a domain semantics-enhanced transformer mechanism that automatically enhances the railway semantics from a dedicated railway lexicon. We further introduce piece-wise convolution neural networks to explore the fine-grained features contained in the structure of triple knowledge. With the domain semantics and fine-grained features, our model can fully understand the domain text and thus improve the performance of relation classification. Finally, the DSERE model is used to identify the railway safety risk of south zone of China Railway, and achieves 81.84% AUC and 76.00% F1 scores on the real-world dataset showing the superiority of our proposed model.
Pojok Literasi-Ku Berbasis Pendidikan Masyarakat Sebagai Upaya Meningkatkan Kesadaran Literasi di Desa Bumi Sari Kabupaten Nagan Raya Aceh

This service activity aims to increase the literacy awareness of the residents of Bumi Sari Village, Nagan Raya Regency, through a community education-based My Literacy corner. The method of implementing this service used mentoring and teaching. Partners in this service were the Nagan Raya Library Service, the Nagan Raya Education Office, the Environmental Care Alliance (APEL), the Communication, Informatics, and Statistics Service (KOMINFOTIK), and the Bumi Sari Village Government. The instrument used to measure the success of this community service activity was in the form of a questionnaire given to each person in charge of the literacy corner. This dedication resulted in implementing five literacy corner programs in Bumi Sari Village: Reading Corner, Writing Corner, Internet Introduction Corner, Computer Training Corner, and MS Introduction Corner Office. There was an increase in literacy among the people of Bumi Sari Village by 36.35%. This increase could be seen from the number of people before the activity, where only 34.41% understood literacy, then it increased to 70.76% after this community service activity. The response of the people of Bumi Sari Village, especially the parents, towards the literacy corner program was very good, judging from the number of children participating in learning in the literacy corner. This service activity could increase literacy awareness in Bumi Sari Village.
The Degree of Need of Yemeni Universities to Employ Computer Technology in the Administrative Fields

ABSTRACT: The current study aimed to reveal the degree of need of Yemeni universities to employ computer technology in the administrative fields from the viewpoint of the Vice Deans for Academic Affairs, according to the variables (university, college, academic position, and administrative experience). To achieve this, the study used the descriptive analytical method, and a questionnaire was developed that included (35) items, and distributed to a sample of (78) deputy deans, working in (5) formal universities and (3) private universities. The results of the study showed that the degree of need of Yemeni universities to employ computer technology in administrative fields obtained a total average of (3.83), that is, the degree of need is high. At the level of fields, the field of organization got the highest average of (3.92), followed by the field of supervision with an average of (3.91). Thirdly got the field of planning with an average of (3.86) and fourthly the field of implementation of college tasks with an average of (3.79) and all of the fields refer to the high degree of need, and finally the field of administrative procedures with an average of (3.64) and the degree of need is medium. The results also indicated that there are no statistically significant differences in perceptions of vice deans about the degree of the need of Yemeni universities to employ computer technology in the administrative fields due to the different study variables: university, college, academic position, and administrative experience. According to the results, a number of recommendations and proposals were presented to meet the need of Yemeni universities to employ computer technology in the administrative and other fields. الملخص: هدفت الدراسة الحالية للكشف عن درجة حاجة الجامعات اليمنية لتوظيف تقنية الحاسوب في المجالات الإدارية من وجهة نظر نواب العمداء للشؤون الأكاديمية، تبعاً لمتغيرات (الجامعة، والكلية، والرتبة الأكاديمية، والخبرة الإدارية)، ولتحقيق ذلك استخدمت الدراسة المنهج المنهج الوصفي التحليلي، وتم تطوير استبانة اشتملت (35) فقرة، ووزعت على عينة قوامها (78) نائب عميد، يعملون في (5) جامعات رسمية و(3) جامعات خاصة. وأظهرت نتائج الدراسة أن درجة حاجة الجامعات اليمنية لتوظيف تقنية الحاسوب في المجالات الإدارية حصلت على متوسط كلي (3.83)، أي بدرجة احتياج (عالية) وعلى مستوى المجالات؛ حصل مجال التنظيم أعلى متوسط بلغ (3.92)، يليه مجال الرقابة بمتوسط (3.91) وحصل ثالثا مجال التخطيط بمتوسط (3.86) ورابعا مجال تنفيذ مهام الكلية بمتوسط (3.79) وجميعها بدرجة احتياج (عالية)، وأخيرا مجال الإجراءات الإدارية بمتوسط (3.64) ودرجة احتياج (متوسطة)، كما أشارت النتائج إلى أنه لا توجد فروق ذات دلالة إحصائية في تصورات نواب العمداء حول درجة حاجة الجامعات اليمنية لتوظيف تقنية الحاسوب في المجالات الإدارية تعزى لاختلاف متغيرات الدراسة: الجامعة، والكلية، والرتبة العملية، والخبرة الإدارية. واستنادا للنتائج تم تقديم جملة من التوصيات والمقترحات لتلبية حاجة الجامعات اليمنية لتوظيف تقنية الحاسوب في المجالات الإدارية وغيرها.
Ethereum-Based Certificate Creation and Verification Using Blockchain

Certificates are signals of achievement or membership. A web-based system for secure verification of academic certificates and a blockchain system for storing academic weblogs are proposed in this paper. Certificates are created digitally using QR and search to find the certificate from the database. Any modification in the certificate can be identified by the Base64 image comparison. The environment is less complex to design because hyperledger is not a coin (“token”) based blockchain. A transaction on hyperledger does not require a virtual currency transfer, in contrast to bitcoin or Ethereum. The application has two main components: Webserver and Ethereum. The disadvantage of storing information on a blockchain-based application is that it cannot store image files; instead, it uses weblogs for storage. When proposing a digital way of handling certificates, give utmost importance to how it eliminates counterfeit certificates from the system. Making such a digital system will eventually lead to questions regarding the security of the digital content (i.e.) certificates. To ensure that the digital certificates are stored in a secure way such that a malicious attacker or a user cannot change the content of these certificates. When a member tries to exploit the system and make sure that they are removed from the system without causing much damage to the overall functioning of the system. The proposed digitally created certificate can be verified by anyone with high security.
Optical Network Diagnostics Using Graph Neural Networks and Natural Language Processing

We propose an AI-powered network diagnostic strategy including alarm clustering and fault localization with &gt;98% accuracy for up-to 16-degree ROADMs and demonstrate the advantages of using NLP in encoding.
Quantum Noise Secured Terahertz Communications

The quantum noise based terahertz signal encryption scheme is proposed, a 16 Gbits -1 secure terahertz communication system at 300 GHz with the optical communication realms is demonstrated, taking a significant step toward high-security wireless communications.
Optimum Switching Scenario Analysis in a Dynamic Entanglement Network

We investigate the performance of a dynamical entanglement-based QKD network with various switching scenarios. The simulation results suggest the optimum scenario for different heralding efficiencies and detectors’ jitter and the experimental results verify the benefit.
Silicon Photonic Hopfield-like Electro-optical Recurrent Network for Time-series Data Processing and Recognition

We propose and experimentally demonstrate a Hopfield-like electro-optical recurrent network based on silicon photonic circuits for processing time-series data to extract feature vectors just by one-time sampling, which can offer robust and simple waveform recognition.
Petrological Features and Geochemical Characterization of Igneous Rocks in Ado-Ekiti, Southwestern Nigeria

This research investigates and report petrological features and geochemical characteristics of igneous rocks in Ado-Ekiti, Southwestern Nigeria. Exhaustive geological fieldwork reveals Ado-Ekiti is underlain by migmatite-gneiss, quartzite, granite (porphyritic and fine-grained) and charnockite. Petrographic investigation revealed overwhelming presence of quartz, biotite and plagioclase in all the rocks while microcline and opaque minerals occur in subordinate amounts. Average SiO2 content in porphyritic granite (74.56 %) is marginally higher than charnockite (73.51%) and fine-grained granite (70.41%). These values correlate well with previous works in the study area and agrees with similar rocks in other parts of the country. Analytical results using Phillips Panalytical PW1480 X-ray Fluorescence Spectrometer with Rhodium Tube as the X-ray source revealed the siliceous nature of the rocks. The binary plot (Na2O+K2O) vs SiO2 established the rocks are granitic with all the samples plotting within granite field. AFM ternary diagram shows the rock have calc-alkaline affinity. Geochemical classification by (Na2O + K2O-CaO) vs SiO2 diagram reveals the rocks are “Calc-alkalic and calcic”. The elevated K2O (average of 4.41%) in the data signaled High-K calc-alkaline type on K2O vs SiO2 binary diagram. Alumina Saturation Index (ASI) showed the rocks are metaluminous while Al2O3 / (Na2O + K2O) vs Al2O3/ (Na2O +K2O +CaO) plot suggest the rocks have mantle origin