Reviewerly/exHarmony huggingface dataset:
“Prosumidores mediáticos”: la creación de medios digitales globales entre los adolescentes y jóvenes

The development of the new information technologies and communications has allowed, most of all to them to the teens and young people sharing his digital projects internationally with an unthinkable facility years back. Like all the creative suchlike communities, a space to share products, works, techniques or pieces of advice does not stand alone, but also a space for the social interaction. The educators of the space of the teaching in the means find in these initiatives challenges and unprecedented opportunities to make good use of the community's volume of knowledge and to promote the learning. You offer also opportunities to implement a way of digital sensible teaching to the social and cultural performance. One of the shows of the digital teaching is to help young people to challenge performances and to break away from otredad's processes in order that the community's members may express oneself and to integrate in those contexts. The present work, examine how these communities, through the social interaction, can encourage the intercultural understanding and the learning through the dialogue and the creative practice.
Advancing Data Curation and Archiving:&amp;#160;an Application of Coding to Lab Management in the Geosciences

&amp;lt;p&amp;gt;Increases in technology have rapidly advanced the capabilities and ubiquity of scientific instrumentation.&amp;amp;#160;Coupled with the demand for increased transparency and reproducibility in science, these advances have necessitated new systems of data management and archival practices. Laboratories are working to update their methods of data curation in line with these evolving best-practices, moving data from often disorderly private domains to publicly available, collaborative platforms. At the Hamilton Isotope Laboratory (HIL) of Hamilton College, the isotope ratio mass spectrometer (IRMS) is utilized across STEM disciplines for a combination of student, faculty, and course-related research, including both internal and external users. With over 200 sets of analytical runs processed in the past five years, documenting instrument usage and archiving the data produced is crucial to maintaining a state-of-the-art facility. However, previous to this project, the HIL faced significant barriers to proper data curation, storage, and accessibility including: a) data files were produced with variable format and nomenclature; b) data files were difficult to interpret without explanation from the lab technician; c) key metadata tying results to respective researchers and projects were missing; d) accessibility to data was limited due to storage on an individual computer; and e) data curation was an intellectual responsibility and burden for the lab technician. Additionally, as the HIL is housed within an undergraduate institution, the high rate of turnover for lab groups created additional barriers to the preservation of long-term, institutional knowledge, as students worked with the HIL for a year or less. These factors necessitate the establishment of new data management practices to ensure accessibility and longevity of scientific data and metadata. In this project, 283 Excel files of previously recorded data generated by the HIL IRMS were modified and cleaned to prepare data for submission to EarthChem, a public repository for geochemical data. Existing Excel files were manually manipulated, several original R code scripts were generated and employed, and procedures were established to backtrace projects and collect key metadata. Most critically, a new internal system of data collection was established with standardized nomenclature and framework. For future usage of the IRMS, data will be exported directly into a template compatible with EarthChem, thereby removing barriers for principal investigators (PIs) and research groups to archive their data in the public domain upon completion of their projects and publications.&amp;lt;/p&amp;gt;
Stabilizing Q Learning Via Soft Mellowmax Operator

Learning complicated value functions in high dimensional state space by function approximation is a challenging task, partially due to that the max-operator used in temporal difference updates can theoretically cause instability for most linear or non-linear approximation schemes. Mellowmax is a recently proposed differentiable and non-expansion softmax operator that allows a convergent behavior in learning and planning. Unfortunately, the performance bound for the fixed point it converges to remains unclear, and in practice, its parameter is sensitive to various domains and has to be tuned case by case. Finally, the Mellowmax operator may suffer from oversmoothing as it ignores the probability being taken for each action when aggregating them. In this paper we address all the above issues with an enhanced Mellowmax operator, named SM2 (Soft Mellowmax). Particularly, the proposed operator is reliable, easy to implement, and has provable performance guarantee, while preserving all the advantages of Mellowmax. Furthermore, we show that our SM2 operator can be applied to the challenging multi-agent reinforcement learning scenarios, leading to stable value function approximation and state of the art performance.
LibGuides: EH325 -- Major Authors (Neil Gaiman): Magic

This LibGuide focuses on the author Neil Gaiman. EH325 surveys major works by a featured author(s), including works by major authors of a particular era, literary movement, region, nationality, and/or genre.
COVID-19 AND EDUCATION MANAGEMENT: THE CASE OF SILESIAN REGION - POLAND

COVID-19 outbreak has changed the economic and social relations and caused a critical impact on the higher education system. The closure of University campuses to prevent community transmission of the Coronavirus SARS-CoV-2 has shifted face-to-face classes to online learning, distance learning, e-learning, mobile learning, and social learning. E-Learning and virtual education may become an essential component of the higher education system in the next years. Accordingly, teaching staff had to adapt their teaching methodology and tools to eLearning tools and platforms for effective student engagement. This paper reports on a first study conducted from December 2020 to January 2021, involving one hundred Higher Schools teachers of Management in the Silesia Region.The study showed many serious problems related to the emergency teaching-learning experience since it was essentially based on the translation of face-to-face approach in the online environment.
Teaching vocabulary through small group discussion using songs

This research was aimed to investigate the scenario and implementation ofteaching vocabulary through small group discussion using songs, to investigatethe teacher and students responses toward teaching vocabulary through smallgroup discussion using songs, and to identify the students’ difficulties inlearning vocabulary through small group discussion using songs. Descriptivequalitative method has been used as a research method in this study. Thisresearch implemented small group discussion method. This method wasimplemented at tenth grade students at one of Islamic Senior High Scholl inPadalarang. The researcher have done a total of three meetings and presentedtwo songs in the classrom. Qualitative data were obtained by conductingobservation, test, questionnaire and interview to find out the extent to whichstudents’ understanding after they got the teaching-learning activities. Theresult of this research reveals that the implementation of teaching vocabularythrough small group discussion using songs has been implemented successfullyachieved and exceeded the minimum completion score was 75. The teacher andstudents gave a good responses to teaching vocabulary through small groupdiscussion using songs. Meanwhile, the most striking students’ dificulties were;when the intonation of the songs is rather fast, students find it difficult to writevocabulary due to lack of pronunciation skills, and the students’ lack ofunderstanding word of classes it’s difficult to them to analyze sentencecontained in the song lyrics.
중국어 부사어와 보어의 어순대비 분석 - 한ㆍ중 상호 번역과 교학을 중심으로 -

The structure of events expressed by language also has similar structures in both spatio-temporal angles, and can be the most fundamental criterion for humans to differentiate objects. As we sometimes grasp syntax content through translation in foreign language learning, we tend to recognize events and understand content in our native language mindset. In order to understand different cultural reasons, it is important to approach them with more fundamental human reasons and look at events more objectively. Also, for that objective consideration, although it may be accessible through proven philosophical methods, and using formulas such as formalized natural sciences, engineering, and social phenomena may be one way. The text attempts to distinguish the difference in meaning between Chinese syntactic adverbs and bores, which are translated from Korean to adverbs, to be logical, more natural, and complete the syntax in Korean. In the semantic information expressed by the two identical components located before and after the predicate at the angle of time, there is a difference in subjectivity that the speaker's intention reveals, but there is no bore in Korean, so you can see the difference between various adverbs. Although translating Chinese bores into adverbs in Korean becomes a more natural expression, it is another way to choose the appropriate adverbs or compare different ways through syntactic conversion. However, what we need to look at here is that there is another limitation to the characteristics of Korean adverbs in the translation and the meaning of the adverbs or adjectives that are paraphrased. In other words, it is necessary to consider whether the adverb used in Korean does not distinguish between Chinese adverb and Bohr in terms of subjectivity and harmony. This is because there are also various types of Korean adverbs, and the functional and flamboyant differences revealed through word order in Chinese syntax can naturally be selected as suitable adverbs for the content in Korean translation.
Research on the influence of instructor image on the learning effect of conceptual learning video

To efficiently convey information and optimise teaching effect, it is necessary to design and develop high-quality online learning materials. To determine the different learning effect of with and without an instructor, this study selects three types of data: test data, eye movement data and questionnaire and interview data. A few primary results of this study are: 1) instructors have no significant impact on learners' conceptual learning grades of declarative knowledge; 2) there is no significant difference in learners' performance of viewing area, but there is a difference in their performance of teachers area; 3) through comprehensive questionnaire and interview data analysis, there is no significant difference in learners' learning experience of conceptual learning in declarative knowledge video with and without an instructor. This study provides a reference for designing and developing online video lectures. When designing the video lectures of conceptual learning, it can adopt instructor-free way considering saving time and cost.
Best 60% Mechanical Keyboard

Having 60% of the keys that a standard mechanical keyboard has does not mean that you’ll have less of a thrilling experience that is accustomed to ...
Toward Improving Arabic Text Preprocessing in Sentiment Analysis

The quantity of data produced by social networks, achieves every year unprecedented records, because these platforms became the main sources where subjective opinions are expressed. Processing opinions data from the raw state to extract useful information can be a very difficult task, especially when it comes to Arabic text that includes standard and dialectal forms. In this paper, we focus on sentiment analysis based on Facebook comments shared in Modern Standard Arabic and in Moroccan Dialectal Arabic. Thus, we put the text preprocessing under the scope by testing several schemes and by inspecting their effects on the supervised classification of sentiments.
DISTANCE LEARNING: BASED ON THE MATERIALS OF A SOCIOLOGICAL SURVEY

The article raises the topical issue of the transition to distance learning, when Russian universities in the fall of 2020 were forced to re-apply this format. The article shows the difficult situation that has devel-oped in the Timiryazev Academy in the fall of 2020. Under the threat of the spread of Covid-19, the univer-sity's management was forced to make a decision to transfer students to distance learning. The author draws attention to the fact that interest in the topic of distance learning in our country has existed for a long time. However, it has only recently become particularly acute. The article analyzes the results of a sociological survey devoted to the transfer of 1st-year students to a distance learning format. It is shown what opportuni-ties and advantages, in the opinion of students, this transition provided them. The analysis of the shortcom-ings of distance learning named by students is carried out. Special attention is paid to student proposals aimed at improving it. A critical analysis of these proposals is given. The main scientific result: it is shown that the transition to distance learning did not become fatal for students of the Timiryazev Academy. Most of the first-year students took this transition as a forced measure and were able to adapt to the current situation.
Robust Multi-label Active Learning for Missing Labels

Multi-label classification has gained a lot of attraction in the field of computer vision over the past couple of years. Here, each instance belongs to multiple class labels simultaneously. There are numerous methods for Multi-label classification, however all of them make the assumption that either the training images are completely labelled or that label correlations are given. Since Active Learning is frequently used when not much data is available, it could be used to determine the missing labels by querying an oracle. This paper proposes a novel solution that combines the current state-of-the-art for Multi-label classification with Active Learning to infer the missing labels. This is done with sampling strategies that try to select the most informative sample from the dataset by exploring the amount of missing labels. With these strategies, we try to minimize the relabeling cost for all samples, while maximizing the information gained. The chosen method called Hard sampling with entropy then looks to select those samples that both the model and we find informative. The chosen measure along with the other measure are then explored and evaluated on a subset of the MSCOCO dataset on 20%, 40% and 60% noise. Hard sampling with entropy then outperforms the state-of-the-art by more then 30%, as well as the baseline sampling method by 2% for 60% noise.
Altra IQ Smart Shoes / Nur Liyana Ishak

In the information technology (Hons)subject the theoretical part of the topic was the paper. The main objective was to familiarise students with the practical use of the company. This study learned about the factors that helped to launch a new product. A general introduction to the new product development took place in the first phase of the report. In this part, an analysis of methodology and limitations were explained about the problem faced by a user when doing outdoor activities. During the next phase of the report, this report also mentioned the definition, classification and process of the new product development. Improvements and product revisions are the classification of the new product. In addition, five processes, including research and development, product design/features, concept testing, a prototype design and finally testing marketing, can be divided on the process for new product development. Furthermore, the concept testing and market research conducted in Google Form with questionnaires. Finally, several techniques were used in test marketing to make this product acceptable to the community, such as the experience of customers, starting with opinions and feedback. To conclude, the public feedback was very helpful in meeting the consumer's demand and in flowing the trend time. In short, the development of a new product is Altra IQ Smart Shoes falling into a new product to the company. this start, an idea generation solution in Samsung company known for its electronic product. The design level and features of the product are specified in terms of performance, reliability, safety in use, durability and uniqueness. Next, a successful prototype for Altra IQ smart Shoes that showcases its unique design and features. In conclusion, public feedback is very helpful in meeting consumer demand and flowing trend times.
LibGuides: WSU System Strategic Planning Resources: Home

A collection of materials created and curated by the Environmental Scanning subcommittee of the WSU System Strategic Planners. These resources are organized into the six topical areas for the assumed trends outlined in the WSU System Strategic Plan .
DEVELOPMENT OF UNIVERSITY LIBRARIES IN DIGITAL GLOBALIZATION

The article is devoted to automated information and library services in the libraries of higher educational institutions of the Republic of Kazakhstan and the capabilities of libraries included in the Republican Interuniversity Electronic Library System and highlights the ways of introducing information technologies into the work of libraries of higher educational institutions, replenishing electronic resources, entering domestic, world information resources. The main goal of the libraries of the republic is to increase information literacy, harmonious integration in the digital environment. Implementation of automated work in the library process, the implementation of library information programs. Modern libraries are looking for ways to rationally combine new technologies with altered forms of life and pave the way for the right solution and embracing global problems. Combining national information, the library plays the role of a major ideological institute, exploring and disseminating, and providing services to consumers in accordance with modern requirements.
Research Guides: Student Curated Digital Exhibits: Omeka Tips and Best Practices

This guide includes information for students curating digital exhibits using Special Collections materials
Homotopy Type Theory in Isabelle

This paper introduces Isabelle/HoTT, the first development of homotopy type theory in the Isabelle proof assistant. Building on earlier work by Paulson, I use Isabelle’s existing logical framework infrastructure to implement essential automation, such as type checking and term elaboration, that is usually handled on the source code level of dependently typed systems. I also integrate the propositions-as-types paradigm with the declarative Isar proof language, providing an alternative to the tactic-based proofs of Coq and the proof terms of Agda. The infrastructure developed is then used to formalize foundational results from the Homotopy Type Theory book.
AR Based Indoor Navigation System

Smartphones are growing more easily with internet access to smartphones, user location information can be used easily anywhere at any time.Users can be used with the existing applications in various fields. One of the major technologies introduced is Augmented Reality, which can be used to interact with the real world using virtual objects. Augmented Reality based Technology enables the providing a variety of information such as photos and placement of buildings in the travel field. This field can likely wise utilized in the navigation as examined in paper. Navigation will give us the proper way to locate at the proper place.
Social Finance: Cultural Evolution, Transmission Bias and Market Dynamics

The thoughts and behaviors of financial market participants depend upon adopted cultural traits, including information signals, beliefs, strategies, and folk economic models. Financial traits compete to survive in the human population, and are modified in the process of being transmitted from one agent to another. These cultural evolutionary processes shape market outcomes, which in turn feed back into the success of competing traits. This evolutionary system is studied in an emerging paradigm, social finance. In this paradigm, social transmission biases determine the evolution of financial traits in the investor population. It considers an enriched set of cultural traits, both selection on traits and mutation pressure, and market equilibrium at different frequencies. Other key ingredients of the paradigm include psychological bias, social network structure, information asymmetries, and institutional environment.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Towards Interpreting Computer Vision Based on Transformation Invariant Optimization

Interpreting how does deep neural networks (DNNs) make predictions is a vital field in artificial intelligence, which hinders wide applications of DNNs. Visualization of learned representations helps we humans understand the vision of DNNs. In this work, visualized images that can activate the neural network to the target classes are generated by back-propagation method. Here, rotation and scaling operations are applied to introduce the transformation invariance in the image generating process, which we find a significant improvement on visualization effect. Finally, we show some cases that such method can help us to gain insight into neural networks.
Virtual Smartphone: The Future of Communication

Currently Smartphones plays an important role in most of the work of humans in day to day life,which makes work easier for a humans. The work can be to deal with another company by videoconference, send document through Email, Google Map for knowing about location, etc. We knowthat Smartphone is helpful but due to lack of resources sometime it becomes difficult for user to utilizethem. The problems are like less storage space, inadequate processor, not enough battery power, etc.In this paper we introduce VSP , a Virtual Smart Phone which is basically a step to connect both the physical and virtual world , by using a tiny projector, camera, speaker, mike & Cloud Computing Technology over the internet in the form of wearable device. In VSP all the required component are fabricated in the wearable device by which use communicate with the help of natural hand gesture , Hand movement and Internet. In VSP user communicate with each other by Virtual mobile phone with the help of touch gesture radio wave and cloud computing technology. VSP will end the physical dependency of mobile phone. VSP provide novel interaction method to seamlessly communicate with each other in a fun and intuitive way. The user can touch their palm to make call and can also be used for watching movies or images on their palm/wrist. Touch gesture is used for making and Terminating the call. VSP uses touch-based interactions as instruction for establishing communication between the different users.