Reviewerly/exHarmony huggingface dataset:
Understanding Desire to Touch Using Large-scale Twitter Data

I and research colleagues investigated people's desire to touch by collecting and analyzing a large amount of text data that contain phrases such as "want to touch" on Twitter.We revealed the relationship between the body part that people want to touch and the touch gesture.We also revealed the effects of the COVID-19 pandemic on the desire to touch.Specifically, we observed "skin hunger," i.e., the strong desire for physical communication, and variation of touch avoidance toward objects such as doorknobs.Our results will be beneficial for understanding human behavior as well as for the further development of haptic technology.
One shot learning approach for cross spectrum periocular verification

The use of face mask during the COVID-19 pandemic has increased the popularity of the periocular biometrics in surveillance applications. Despite of the rapid advancements in this area, matching images over cross spectrum is still a challenging problem. Reason may be two-fold 1) variations in image illumination 2) small size of available data sets and/or class imbalance problem. This paper proposes Siamese architecture based convolutional neural networks which works on the concept of one-shot classification. In one shot classification, network requires a single training example from each class to train the complete model which may lead to reduce the need of large dataset as well as doesn't matter whether the dataset is imbalance. The proposed architectures comprise of identical subnetworks with shared weights whose performance is assessed on three publicly available databases namely IMP, UTIRIS and PolyU with four different loss functions namely Binary cross entropy loss, Hinge loss, contrastive loss and Triplet loss. In order to mitigate the inherent illumination variations of cross spectrum images CLAHE was used to preprocess images. Extensive experiments show that the proposed Siamese CNN model with triplet loss function outperforms the states of the art periocular verification methods for cross, mono and multi spectral periocular image matching.
Learning invariant and uniformly distributed feature space for multi-view generation

Multi-view generation from a given single view is a significant, yet challenging problem with broad applications in the field of virtual reality and robotics. Existing methods mainly utilize the basic GAN-based structure to help directly learn a mapping between two different views. Although they can produce plausible results, they still struggle to recover faithful details and fail to generalize to unseen data. In this paper, we propose to learn invariant and uniformly distributed representations for multi-view generation with an “Alignment” and a “Uniformity” constraint (AU-GAN). Our method is inspired by the idea of contrastive learning to learn a well-regulated feature space for multi-view generation. Specifically, our feature extractor is supposed to extract view-invariant representation that captures intrinsic and essential knowledge of the input, and distribute all representations evenly throughout the space to enable the network to “explore” the entire feature space, thus avoiding poor generative ability on unseen data. Extensive experiments on multi-view generation for both faces and objects demonstrate the generative capability of our proposed method on generating realistic and high-quality views, especially for unseen data in wild conditions.
On the Performance of Secure Sharing of Classified Threat Intelligence between Multiple Entities

The sharing of cyberthreat information within a community or group of entities is possible due to solutions such as the Malware Information Sharing Platform (MISP). However, the MISP was considered limited if its information was deemed as classified or shared only for a given period of time. A solution using searchable encryption techniques that better control the sharing of information was previously proposed by the same authors. This paper describes a prototype implementation for two key functionalities of the previous solution, considering multiple entities sharing information with each other: the symmetric key generation of a sharing group and the functionality to update a shared index. Moreover, these functionalities are evaluated regarding their performance, and enhancements are proposed to improve the performance of the implementation regarding its execution time. As the main result, the duration of the update process was shortened from around 2922 s to around 302 s, when considering a shared index with 100,000 elements. From the security analysis performed, the implementation can be considered secure, thus confirming the secrecy of the exchanged nonces. The limitations of the current implementation are depicted, and future work is pointed out.
Blended Teaching Design of College English under the Guidance of Conversational Framework

College students today are "the natives" in the digital world, and their access to knowledge has undergone profound changes.As a "new fashion", blended learning has increasingly become a new trend which further promotes the advantages of offline learning.Drawing on the concept of "conversational framework", this study selects Yunbanke as an online learning tool to expound on blended teaching design of unit three "Harmonizing via Respect" from the textbook "New Era of Mingde College English", with an attempt to provide students with more learning methods and options.It comes to the conclusion that "conversational framework" can enhance instructors' overall awareness of teaching design, improve the feasibility of blended teaching, and achieve desired learning outcome better.
Lenzo

Dynamics expert, Basilio Lenzo, is excited to be a part of the autonomous vehicle revolution. However, while technology is advancing, even towards autonomous drifting, human emotions are potentially stifling progress
Fake it ‘Til you Make it

Counterfeit goods continue to be a problem in the UK, creating real losses for real brands. Manufacturers, therefore, have to remain vigilant against the fakers
Pengembangan Media Komik untuk Meningkatkan Kemampuan Membaca Siswa Sekolah Dasar

The research was carried out because educators did not use comics media at SDN 010 Kuantan Sako. The lack of student interest in learning caused some students to be slow to read properly and correctly. This research was carried out to make students who are dynamic and interested in starting to read carefully in the learning process, one of which is by making comic media. This research is development research (R&amp;D) with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The approach used is a qualitative approach and a quantitative approach that uses two methods of data collection: observation and interview. This research was conducted by testing the validity of 6 expert validators: two media validators, two language validators, and two material validators. The results of the media expert validity test are 95.31%, the linguist validity test is 92.18%, and the material expert validity test results are 89.06%, with a final average of 92.18%. So based on the comic media validity test, six validators showed valid results and were suitable for use in the learning process.
GRAMMATICAL ERRORS IN ACADEMIC WRITING OF ENGLISH SECOND-YEAR STUDENTS

The study aimed to analyze the common grammatical errors of students in academic writing. Mixed-method research was implemented for this study. The study team gathered 110 essays from learners in the Writing Course 4 – Social Texts classroom. Then, the researchers conducted interviews with 23 learners in order to ascertain the reasons behind their grammatical errors in writing and provide suitable remedies. Participants in this research were second-year students majoring in English Studies in the Department of English Language and Culture's High-Quality Program at a Vietnamese university. The findings revealed that the errors that made up the biggest percentage of all errors were those involving the articles (25,5 %), prepositions (14,2%), and plural/singular forms (13,7 %). On the other hand, tenses (7%), passive voice (3,8%), and subject-verb agreement (1,7%) errors had the respective lowest percentages. The results of the interviews with 23 randomly selected students in this course showed that students struggled with academic writing on a number of different levels, with the root causes being a lack of vocabulary knowledge, carelessness, and uncertainty about basic grammatical structure.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0124/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
PENERAPAN MODEL PROJECT BASED LEARNING DALAM MENINGKATKAN KOMUNIKASI MATEMATIS SISWA SEKOLAH DASAR

The Project Based Learning (PjBL) model increases various students' mathematical communication. The purpose of this study was to determine the PjBL model in improving various mathematical communication skills. Mathematical communication is one of the abilities that must be owned by every student with various interests in learning mathematics. Mathematical communication is the ability to communicate related to each class including writing activities, interpreting, evaluating ideas, and providing mathematical information, conveying messages containing mathematical material. Data collection techniques were obtained from literature review studies on library research or descriptive document studies (Library Research) from various types of documents that support the research theme, namely laws, books, journals and articles. Data analysis techniques consist of content analysis methods, which focus on the positive content and characteristics of a media. research shows that PjBL forms an innovative learning model in a learning and is student-centered using projects as a learning medium so as to improve students' communication skills, especially when communicating so that students can carry out activities actively in solving various problems to produce products that have value. However, PjBL can be responsible for having tolerance for each individual because it is mandatory for school and has high self-confidence, but has limitations with elementary school students as learning materials that influence PjBL and obtain technology assistance on computers for learning materials with different classes .
Multimodal Deep Learning

This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art approaches in the two subfields of Deep Learning individually. Further, modeling frameworks are discussed where one modality is transformed into the other, as well as models in which one modality is utilized to enhance representation learning for the other. To conclude the second part, architectures with a focus on handling both modalities simultaneously are introduced. Finally, we also cover other modalities as well as general-purpose multi-modal models, which are able to handle different tasks on different modalities within one unified architecture. One interesting application (Generative Art) eventually caps off this booklet.
Qudit Dicke state preparation

Qudit Dicke states are higher-dimensional analogues of an important class of highly-entangled completely symmetric quantum states known as (qubit) Dicke states. A circuit for preparing arbitrary qudit Dicke states deterministically is formulated. An explicit decomposition of the circuit in terms of elementary gates is presented, and is implemented in cirq for the qubit and qutrit cases.
An IFWA-BSA Based Approach for Task Scheduling in Cloud Computing

Establishing an efficient cloud computing task scheduling model is the object of many scholars’ research. In view of the low scheduling efficiency in cloud computing task scheduling, we propose a cloud computing task scheduling algorithm based on the fusion of the Fireworks Algorithm and Bird Swarm Algorithm (IFWA-BSA). Firstly, we describe the cloud computing task scheduling model based on time and cost constraint functions, secondly, we use chaotic backward learning and Coasean distribution for optimization in FWA initialization; we set thresholds for the radius of core fireworks and non-core fireworks for optimization; we filter the IFWA individuals after each iteration by BSA algorithm, and finally, we use the IFWA-BSA algorithm is used in cloud computing task scheduling model to solve the optimal solution. In the simulation experiments, IFWA-BSA has obvious advantages over ACO, PSO and FWA in the comparison of execution time and consumption cost indexes, which reduces the scheduling time and cost of cloud computing.
Academic writing and AI: Day-2 experiment with cultural additivity

To check the ability of AI to identify precise and detailed scientific information, I experiment with how accurate AI recognizes scientific terms, their origins, meanings, and usages, and whether the accuracy increases over time
THE ROAD AHEAD FOR INDONESIA’S INTERNATIONAL SCHOOLS: THE EXTENDED MARKETING MIX PERSPECTIVE

Given the growing global awareness and interest in sustainable development, the sustainability concern of education institutions is no exception. Noticing the phenomenon of decreasing number of students in the Indonesia international schools, this study explores and identifies the cutting-edge marketing strategies that may be useful to enhance student enrollment. Based on the external environmental and internal organisational analysis, particular focus was placed on the consumer perceptions to assess their perceived importance of the 39 marketing mix attributes. The findings highlighted the importance of Product and Promotion, and a set of marketing mix strategy was proposed. As education is pivotal to enhance the quality of national human resources, it appears that the findings and proposed marketing strategies offer a useful reference to both the policy makers and the education industry players to continue increasing student enrolment in the private schools, moving towards sustainable development.
TECHNOSPHERE: PHILOSOPHICAL CONCEPTS, DEVELOPMENT TRENDS AND PRACTICAL CHALLENGES

The global technological environment, which mediates the interaction of mankind with the biosphere, carries technogenic and environmental hazards and serious anthropological and social risks. Today there is a tendency in which every improvement of the technogenic system ultimately increases its negative impact on nature on the principle of negative feedback. In such a situation, an objective assessment of the technosphere’s characteristics is necessary for timely harmonization in the relationship “Human – Natural Environment”.&#x0D; The purpose of the article is to conceptualize ideas about the technogenic path of human development and to introduce the concept of “ecological technosphere” as a new stage of coevolutionary relations between nature and technogenic civilization.&#x0D; The research is carried out within the framework of the concept of post-classical science, a structural and functional approach, postphenomenology, actor-network theory.&#x0D; In the article, based on the concepts of “technique”, “technology”, “technocenosis”, “technological environment”, an ontological analysis of the concept of “technosphere” is proposed, its essential characteristics and risky scenarios of development are highlighted.&#x0D; The article was carried out within the framework of the project “Socio-ecological monitoring of the technical environment of the region: a socio-cultural approach” (RFBR Grant 20-311-90060 Graduate students)
Magneto-encephalography Scan under Color-tailored Illumination

Color plays an important part in human activities, affects circadian cycle and decision making process. Therefore, it is important to investigate human judgment under different color of illumination, especially, because color perception is subjective. In this study, we developed required instrumentation to control the red (R), green (G), Blue (B) and Amber (A) colored light emitting diode (LED) lamp for carrying out Magneto Encephalography (MEG) brain scan. We developed a software to generate all the colors in the visual spectrum, predefined white light combinations and saturation of an illuminated objects by using RGBA color pallet. The lamp is required to control from outside of the MEG electromagnetically shielded room with the LED lamp located inside the MEG room. Hence, USB is used for the communication mode. The feasibility of using LED lamp with MEG brain scanner has been validated for bio-medical and psychological MEG experiments.
Pengaruh Internet of Things: Analisis Efektivitas Kerja, Perilaku Individu dan Supply Chain

Abstract: The Internet of Things is developing in many sectors, especially in the industrial and household sectors. Internet of Things is expected to be a new solution in carrying out daily activities, especially those that are closely related to objects or machines. The concept of the Internet of Things itself is developing smart technology into an object, with the goal of innovation that makes activities more effective and efficient. Examples of the application of the Internet of Things in the industrial and household sectors are: 1) automatic curtain closing, 2) automatic water taps, 3) automatic folding umbrellas, 4) and also automatic parking scan sensors. The research method at this time is a descriptive qualitative method, by obtaining data based on relevant previous research and developing according to the researchers' thoughts. The results of this study are: 1) Work Effectiveness is influenced by the Internet of Things; 2) Individual Behavior is influenced by the Internet of Things; and 3) Supply Chain is affected by the Internet of Things.&#x0D; Abstrak: Internet of Things berkembang di banyak sektor, terutama di sektor industri dan rumah tangga. Internet of Things diharapkan menjadi solusi baru dalam menjalankan aktivitas sehari-hari terutama yang berkaitan erat dengan benda atau mesin. Konsep Internet of Things sendiri yaitu mengembangkan teknologi pintar kedalam sebuah benda, dengan tujuan inovasi yang menjadikan kegiatan lebih efektif dan efisien. Contoh penerapan Internet of Things di sektor industri dan rumah tangga yaitu: 1) Penutup gorden otomatis, 2) keran air otomatis, 3) payung lipat otomatis, 4) dan juga sensor scan parkir otomatis. Metode Penelitian pada kali ini yaitu metode kualitatif deskriptif, dengan memperoleh data berdasarkan penelitian terdahulu yang relevan dan mengembangkan sesuai pemikiran peneliti. Hasil dari penelitian ini yaitu: 1) Efektivitas Kerja dipengaruhi oleh Internet of Things; 2) Perilaku Individu dipengaruhi oleh Internet of Things; dan 3) Supply Chain dipengaruhi oleh Internet of Things.
USING WH-QUESTIONS STRATEGY AND POETRY TO IMPROVE WRITING SKILLS AMONG ESL MALAYSIAN PRIMARY SCHOOL LEARNERS DURING POST-PANDEMIC

The COVID-19 pandemic has shifted the teaching and learning of the English language from face-to-face interactions to remote teaching. In my context, most of my students did not engage with remote teaching during school closures due to certain factors such as lack of internet connection and the readiness of their parents. When schools reopened during the post-pandemic, I used the WH-questions strategy and poetry to improve my students' writing skills. WH-questions are considered guiding questions that can direct students to get new ideas in writing a text. Poetry is a form of literature that can help young learners tap into creativity by using words in writing. By using an action research design lens, this study aims to describe the process of using WH-questions strategy and poetry to improve writing skills among Year 5 primary school learners. The process consisted of four steps: planning, acting, observing and reflecting. Data were collected using a multimodal approach, including students' daily journals and structured-interview and the data gained were analysed narratively. Based on the data obtained, it was found out that the intervention used had successfully improved my learners' writing skills, especially in constructing correct simple sentences. I learned how to plan, conduct and evaluate WH-questions strategy as well as how to modify poetry writing to teach writing skills in English language lessons in the post-pandemic times.
THE EFFECTS OF INQUIRY-BASED RECIPROCAL TEACHING MODULE (IBRM) ON MALAYSIAN ESL LEARNERS’ READING COMPREHENSION: A QUASI-EXPERIMENT

Despite the great appreciation on high competency in ESL reading, the results of PISA reading cautioned on the ineptitude of Malaysian ESL learners and depicted the heightened prevalence of reading difficulties among them. Although various curriculum modifications and ESL reading interventions were developed to facilitate reading instruction in the classroom, learners’ reading performance is still unsatisfactory. This ten-week quasi-experimental study tested an inquiry-based reciprocal teaching module which was aimed at enhancing secondary school learners’ reading comprehension through the utilisation of effective reading strategies. A total of 84 Form Four ESL learners were randomly selected to be the participants, with an equal number of 42 participants randomly assigned to either experimental or control group. Independent sample t-tests and paired sample t-tests were performed to test the hypotheses. The results indicated that the inquiry-based reciprocal teaching module has positively and significantly enhanced ESL learners’ reading comprehension performance, thus was effective in improving the learners’ reading comprehension.
PRODUCTION MANAGEMENT MODEL AND DISTRIBUTION OF TIKTOK CONTENT AS A FOOTBALL INFORMATION MEDIA IN @FOOTBALLFANDOM_ID ACCOUNT

This study aims to find out how a production management model and content distribution on the TikTok platform on the @footballfandom_id account. Football Fandom Indonesia owns this TikTok account. Football Fandom Indonesia is a sports media that discusses sports, especially football. Football Fandom Indonesia's journalistic style is light and easy to understand. The use of TikTok by sports media is an exciting phenomenon. The method in this research is a case study. The object of this research is the production and distribution management of Tiktok @footballfandom_id content. The study results are that Football Fandom Indonesia has performed several management functions well. Football Fandom Indonesia manages content production and distribution in planning and organizing. Content writer in determining ideas and writing scripts, implementation and supervision. Football Fandom Indonesia supervises the production and editing stages. In the distribution stage, the admin of TikTok @footballfandom_id has also made good use of the features in TikTok, such as using hashtags (#) and trending music. Football Fandom Indonesia provides a caption that can invite viewers to comment on the uploaded content