Reviewerly/exHarmony huggingface dataset:
On the Higher Spins and Strings Supersymmetry Breaking Revisited. Mathematical Connections with Various Parameters of Particle Physics and Some Sectors of Number Theory

In this revisited research thesis, we analyze some equations concerning the Higher Spins and Strings - Supersymmetry Breaking and obtain various mathematical connections with various parameters of Particle Physics and several sectors of Number Theory.
Discussion on the Method of Integrating Outward Bound Training into Physical Education Teaching

At present, colleges and universities in response to the call of the new course reform, in order to improve the quality of physical education, and gradually carry out physical education reform. Due to the lack of experience, there will still be setbacks in the process of reform. According to the research, many colleges and universities ignore the importance of in the reform of physical education. Therefore, this paper discusses the application strategy of integrating training into physical education teaching. First of all, it analyzes the importance of training in college physical education. Secondly, it analyzes the problems existing in the process of in college physical education. Finally, it analyzes the application strategy of sports outward bound course in teaching from multiple angles.
The influence of Organizational Commitment and the quality of library services on the University Students’ Reading Interest

The low reading interest of university students has been identified as a problem in human resource development as it hampers them to broaden their knowledge. Additionally, reading is no longer becoming their primary need. This research is essential to find out whether or not the organizational commitment and service quality impact the university students’ reading interest either partially or simultaneously. The research employs a quantitative method with ex post facto approach. The research finding elucidates how the organizational commitment and service quality impact the university students’ reading interest either partially or simultaneously. The implication of finding covers: 1) enhancing commitment in performing various service tasks, 2) enhancing service quality, growing caring attitude to visitor, adding librarycollection, and improving facility and infrastructure, and 3) attempting various innovative programs to attract students’ reading interest and preparing digital service in accordance with the need of advancement in science and technology.
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution

We consider a joint information extraction (IE) model, solving named entity recognition, coreference resolution and relation extraction jointly over the whole document. In particular, we study how to inject information from a knowledge base (KB) in such IE model, based on unsupervised entity linking. The used KB entity representations are learned from either (i) hyperlinked text documents (Wikipedia), or (ii) a knowledge graph (Wikidata), and appear complementary in raising IE performance. Representations of corresponding entity linking (EL) candidates are added to text span representations of the input document, and we experiment with (i) taking a weighted average of the EL candidate representations based on their prior (in Wikipedia), and (ii) using an attention scheme over the EL candidate list. Results demonstrate an increase of up to 5% F1-score for the evaluated IE tasks on two datasets. Despite a strong performance of the prior-based model, our quantitative and qualitative analysis reveals the advantage of using the attention-based approach.
Dem Rauschen lauschen

Noise [ Rauschen ] is as much an everyday phenomenon as a complex acoustic, perceptual-psychological, cultural, media and cosmic one. It is a research object in physics, news technology, information theory, media studies, astronomy and philosophy. Musicology has hitherto treated noise only as a secondary phenomenon, even though numerous 19th-century songs and waltzes deal with it and various composers since the 1910s have engaged closely with it, and it forms an important part of popular genres such as rock, techno, noise, metal, punk and industrial. Since the 2000s, few musical artists have worked as persistently with noise as Luis Antunes Pena. The composer, whose teachers included Emmanuel Nunes and, in Essen, Nicolaus A. Huber, Gunther Steinke and Dirk Reith, uses instrumental and electronic noise as fully-fledged musical material that can be structured as well as expressively and atmospherically charged. In his works, Pena shows noise in different contexts and functions as foreground or background, filtering or masking effect, frame or content, disturbance or information, which directs the attention not least towards the selecting, focusing and evaluating activity of the supposedly passive auditory sense itself.
INCREASING THE CLASSICAL ACTIVITY OF FUTURE TEACHERS AS A PEDAGOGICAL AND PSYCHOLOGICAL PROBLEM

This article describes the current requirements for the professional training of future teachers, the importance of increasing cognitive activity, the hierarchical pyramid of teaching methods, the stages of acquisition of knowledge and the future of the teacher.
Refinement of CNN Based Multi-label Image Annotation

With the mushroom of technology, digital images are increasing rapidly, handling of these images has become an important research issue. Automatic image annotation (AIA) is a method for finding proper labels to an image in order to get a suitable way for searching and indexing the image data. AIA performs an influential role in image retrieval and its management. Exploiting the correlation among labels is a vital task in AIA for solving the semantic gap problems. Finding a contextual correlation among concepts can be helpful further to reduce this gap. To ensure effective capturing of this correlation, this paper presents co-occurrence patterns of labels along with random field methods for improving the performance of AIA. First, the DenseNet201 model is trained as a concept classifier for images and labels associated with images. Based on the training samples and concept vocabulary, co-occurrences of concepts are determined using association rule mining. The conditional random field (CRF) is used for refining the concept predicted by DenseNet201 CNN based on co-occurrence patterns. The experiment is carried out on the LableMe dataset. The performance analysis is carried out using the F1 score, recall and precision. From the obtained results, it is perceived that the proposed approach performs better than the DenseNet201 model.
Interconnectivity and Liability: AI and the Internet of Things

In this paper, we focus on the question of liability in circumstances where an IoT system has not performed as expected and where this has resulted in loss or damage of some kind. We will argue that the combination of AI and the IoT raises several novel aspects concerning the basis for assessing responsibility and of allocating liability for loss or damage, and that this will necessitate the development of a more creative approach to liability than generally followed in many legal systems. Most legal systems combine linear liability based on contractual relationships and fault-based or strict liability on a wrongdoer in tort law. We seek to demonstrate that this approach is no longer sufficient to deal with the complex issues associated with the interaction of AI and the IoT, and to offer possible solutions. Our discussion will proceed as follows: first, we will explain the nature of an IoT system in general terms, drawing on case studies from both the consumer and commercial sphere to illustrate this. We will then focus on the role of AI in the operation of an IoT system. Secondly, we will analyze the particular issues that arise in the circumstances where an AI-driven IoT system malfunctions and causes loss or damage, and the specific legal questions this raises. Third, we will examine to what extent legal systems (particularly the UK and the EU) are currently able to address these questions, and identify aspects that require action, whether in the form of legislation or some other intervention. Finally, we will propose an alternative for addressing the liability challenges arising in this particular context.
Analysis and Design of User Interface / User Experience on Dynamics University Student Affairs Website Using the Google Design Sprint Method

kemahasiswaan.dinamika.ac.id is a website from the student affairs section of the Dynamics University which contains important information for students. According to information from the head of student affairs, the website has never been evaluated for usability and redesign of the appearance of the website based on user needs. To determine user needs, the author has conducted a website usability evaluation questionnaire to determine the level of usability and user pain. Based on the problems obtained, an analysis and design of the user interface / user experience (UI / UX) has been carried out on the Undika student website using the google design sprint method. From the test results, it was obtained the results of statements from respondents stating that the UI / UX design was attractive, it was easy to find out the existence on the website , and the use of colors that was comfortable to use. With these results, it can answer problems based on user's pain. Overall, the implementation of the google design sprint method has resulted in a UI / UX design that suits user needs and answers crucial questions based on the problems obtained from the usability evaluation with the Website usability evaluation.
Research on false eyewitness Detection algorithm of Asian giant hornet Image based on support Vector Machine

Recently, Vespa mandarinia have been found frequently in Washington state, causing severe potential damage to the local ecosystem. To establish effective pest management programs, Washington State collected reports of people witnessing these wasps. However, due to the existence of a large number of wrong reports and the limited resources of government agencies, it is not possible to conduct field visits to all reports. In recognition of report images, since the image data set is extremely unbalanced, we use data enhancement, cutting and rotating the positive images to increase the number of positive images. In addition, due to the fact that the traditional neural network is easy to overfit in this kind of imbalanced data set, we use the One-Class SVM model to transform the classification problem into the outlier test problem and the experimental results show that the accuracy of our algorithm is 98%.
대학생의 어휘학습 신념이 어휘전략 활용과 어휘지식에 미치는 영향

This study analyzed the relationship among beliefs about English vocabulary learning, English vocabulary strategies, and vocabulary knowledge. The participants were 84 university students in Busan, Korea. The students were questioned about their beliefs, strategies, and vocabulary knowledge as English language learners. The data collected through two sets of questionnaires (beliefs about English vocabulary learning, English vocabulary strategies) and a vocabulary level test were analyzed by using SPSS 22.0. Among the four belief categories, the participants held stronger beliefs about the importance of vocabulary learning. The results also indicated that students used discovery strategies more frequently than consolidation strategies. A significant correlation was also found between beliefs about the importance of vocabulary and the usage of the vocabulary strategies. Of the strategies, ‘Guessing from textual context,’ was significantly correlated with the student's vocabulary knowledge, in particular. The findings can be a valuable resource to consider appropriate ways of using student's perceptions to improve English vocabulary teaching and learning practice.
Breast Cancer Tissue Sub-Region Classification from Second Harmonic Generation Imagery via Machine Learning

Cancer treatment involves complex decision-making processes. A better understanding of recurrence risk at diagnosis, as well as prediction of treatment response (e.g., to choose the most cost-effective treatment path in an informed manner) are needed to produce the best possible outcomes at the patient level. Prior work shows that the forward/backward (F/B) ratio calculated from Second Harmonic Generation (SHG) imagery can be indicative of risk of recurrence if relevant tissue sub-regions are selected. The choice of which sub-regions to image is currently made by human experts, which is subjective and labor intensive. In this paper, we investigate machine learning methods to automatically identify tissue sub-regions that are most relevant to the prediction of breast cancer recurrence. We formulate the task as a multi-class classification problem and use support vector machine (SVM) classifiers as the inference engine. Given the limited amount of data available, we focus on exploring the feature extraction stage. To that end, we evaluate methods leveraging handcrafted features, deep features extracted from pre-trained models, as well as features extracted via transfer learning. The results show a steady trend of improvement on the classification accuracy as the features become more data-driven and customized to the task at hand. This is an indication that having larger amounts of labeled data could be beneficial for improving automated methods of classification. The best results achieved, using features learned via transfer learning from ResNet-101, correspond to 85% accuracy in a 3-class problem and 94% accuracy in a binary classification problem.
Cloud ERP Integration: Benefits, Challenges and Best Practices

Cloud Enterprise Resource Planning (ERP) applications provide numerous benefits and facilities to the whole enterprise. Cloud computing is a computing model which takes place over the internet and provides scalability, reliability, availability and low cost of computer reassures. Implementing and running ERP systems over the cloud offers great advantages and benefits, despite its many difficulties and challenges faced during integration with external and legacy applications. In this paper, we will explore Cloud ERP Integration best Practices, Benefits and the challenges faced.
The role of independent learning in the formation of professional skills of future music teachers in the system of continuing education

The article focuses on the role of education in the formation of an independent professional skills of future teachers of music in the system of uninterrupted education
Consumer Intention towards the Use of Bible Application

The study sort to examine the factors that influence users' attitude towards bible application adoption from the Ghanaian perspective. The study used 300 sample size and a purposive technique to solicit views from respondents. Questionnaires were used to elicit information from respondents. Data analysis was performed using SPSS and SmartPLS application. The study reports that perceived usefulness is not statistically significant in influencing attitude to learn using bible application on mobile devices. Contrary to this, perceived ease of use, social influence and application content have a significant influence on the attitude of bible users. The study, therefore, contributes to the research gap on the lack of mobile application studies in developing countries that have emphasized the use of mobile apps. Efforts must be made to conduct the study in different geographical contexts as well as the usage of a mix method approach to understand the reasons that make people to either adopt or reject innovation.
Android-Based Learning Media Of Kawi Language

The development of science and technology is increasingly driving renewal efforts in the use of technological outcomes in the teaching and learning process. Interactive and interesting learning media can increase, direct, and focus students’ attention on material taught by lecturers. Kawi Language is one of the courses at the Sekolah Tinggi Agama Hindu (STAH) Lampung. However, in the learning process, there are still many educators who do not know the benefits of learning media and there are not many educators who can choose effective and enjoyable media in the learning process. Therefore, by utilizing the current technological development, Android, it can be used as an alternative learning media that can be accessed anytime and anywhere. The research method used is Prototype. The output of this study is a learning media application of Kawi Language which is interactive and can be accessed via an Android smartphone. This application is created using Android Studio. By using this learning media, students can learn effectively through an Android smartphone easily. Based on several stages of the trial, the learning media is categorized as valid with good criteria. This study is expected to be useful for lecturers, students, and advanced researchers. Keywords: Learning Media, Android, Kawi Language
Peran Motivasi Orang Tua Dalam Meningkatkan Hasil Belajar Bahasa Indonesia Kelas V Pada Program Belajar dari Rumah pada Masa Pendemi

This study aims to describe the role of parents motivation in learning outcomes in the home learning program in the midst of the Covid-19 pandemic, difficulties of parents in teaching the learning from home program during the pandemic, as well as how to overcome the difficulties of parents in teaching during the COVID-19 pandemic. The problems studied in this study are what are the roles of parents’ motivation in learning outcomes the Covid-19 pandemic, how the implementation of the learning from home program (BDR) during the Covid-19 pandemic, and how the results and effectiveness of the home learning program (BDR) during the Covid-19 pandemic. This study used a qualitative descriptive method with data analysis in the form of a survey of teachers and communities in the village of Gandri, Sedan district, Rembang District. This results of this determination show that the role f parents in a pandemic like this is very important and meaningful for children. Parents are required to be teachers as well as motivators for children during the home learning program (BDR). The role of parents is very important for the results and effectiveness of children’s education.
The Quality Of Instruction Of The Teacher Education Institution (Tei) Of North Luzon Philippines State College

This study made use of the descriptive-correlational method; benchmarking activities were employed to selected SUCs.  The frequency and percentage count; the mean was used; the Pearson product moment correlation was also used.The quality of instruction of NLPSC-TEI were concluded with the following: The competency level of the Personnel Profile when correlated were significant to TAT; the same with FS-STP; and to LET Board Performance of the student-teachers, respectively. The TAT and FS-STP when corelated was not significant. However, there was a significant relationship of the TAT and the LET performance of the student-teachers. The TAT is a factor that can predict greater chances in the LET performance of the students. Thus, the overall quality of instruction of the NLPSC-TEI was determined to be dependent on the input and process indicators mentioned in this study.
Rechargeable Massage Pillow / Nur Syafiqah Mohd Izuddin

The name of our business is AMOIZ ENTERPRISE. Our business type that we generate is partnership which is the partner has limited liability restricted to the percentages of amount capital invested. The profit or loss will incurred by each partner depend on how much amount capital invested by the partners. The relation among business partner is dictated by the agreement. Our business is producing an innovated pillow called Rechargeable Massage Pillow. It is a pillow with a vibration function. It might help in reducing the pain we feel while travelling, doing works or else. This pillow is made of high-density memory foam which is suitable for any pressure put against it and it will return into its original shape when the pressure is removed. It is light and comfortable too. Our products, design and finishes will continue evolve based on consumer trends and demands.
SAHARA: Communication System for Deaf and Mute

The Dynamics of the world changed after the invention of electricity and followed by the invention of the internet. These inventions drastically changed the standard of living. The technology prospered in all sectors with time. People started finding comfort in automation. Thus, we propose a smart communication system to enhance the standard of living for the deaf and mute. This system uses sign recognition based on dynamic hand gesture recognition techniques in real-time scenarios. Computer Vision-based techniques were used for image analysis. The captured video of the hand is converted to Hue, Saturation, Value (HSV) color space for processing and then segmentation was done based on skin pixels. Contour Extraction is used in parallel to get more accurate results. Then the classification of gestures was done by Support Vector Machine(SVM) Classifier. The respective message is displayed through a mobile application ’SAHARA’.
SoTLcast Podcast: SoTL and the Library

In this episode I invited our colleague Paul Cannon from information services to explain all the way in which librarians can support colleagues in undertaking their SoTL projects.
Subject Guides: Open Access Resources in German Studies (OARGS): Directories

A partial and selective inventory of open access materials for German Studies. A resource may appear in more than one category.
Some zoning patterns and ore deposits in modern and geothermal systems around the edges of Qinghai-Xizang (Tibet) plateau of China

Some ore-forming elements Hg, As, Sb, Li, Rb, Cs, W, Sn, Be, B, are distributed in the inner zone of Tengchong’s geothermal anomaly area, located at the south-eastern edge of Qinghai-Xizang (Tibet) plateau. The outer zone of Tengchong’s geothermal anomaly area is characterized by country rock alteration, where Pb, Zn, Mn, Ni, Co, and Ba are anomalously high. Some precious metals, for example silver, is also found in the inner zone area. The inborn state of microscopic gold grains in some Carlin-type deposits, located at the eastern edge of Qinghai-Xizang (Tibet) plateau, reveals these ore bodies in close relationship with fossil geothermal systems and formed in hydrothermal stages.