Reviewerly/exHarmony huggingface dataset:
Object Segmentation and Tracking in Videos

Author(s): Viswanath, Vijay | Advisor(s): Cottrell, Garrison | Abstract: Object detection and segmentation are some of the key components of Computer Vision, which have wide ranging real world applications. The current state of the art techniques in computer vision are based on Deep Neural Networks and one of the key challenges is using the state of the art techniques in these ﬁelds on novel images, and videos in different environments, and classes. These methods require expensive manual annotations and transfer learning to make them work on domains different from their training data sets. In this thesis, we explore both domain adaptation, and deep learning techniques that don’t necessarily rely on the idea of a class, to help with the annotation of private videos. We implemented the initial idea of domain adaptation for directly annotating objects and followed with using video object segmentation (VOS) tracking methods for propagating annotations. Their application to a novel video acquired in the GURU lab is explored as well as ways to improve their performance.
Gold composition and conditions of Southern Ak-Dag gold-sulfide-quartz ore occurrence formation (Western Tuva)

Research subject . The paper presents data on the mineralogical, geochemical and fluid inclusion features of the Southern Ak-Dag gold-sulphide-quartz ore occurrence in Western Tuva. Methods . Mineral formation temperatures, salt composition and fluid salinity were examined using a Linkam TMS-600 cryostage and an Olympus BX 51 microscope. The chemical composition of samples was identified using a MIRA 3 LMU (Tescan Orsay Holding) scanning electron microscope equipped with INCA Energy 450+XMax 80 and INCA Wave 500 microanalysis systems; BSE photos were taken by Tescan Vega 3 and Hitachi ТМ-1000 SEM instruments. Results . The ores under study were found to contain both high-grade and medium-grade gold with an Ag content of up to 17.05 wt %. The average gold fineness comprised 904 ‰, ranging from 830 to 928 ‰. According to fluid inclusion data, gold-sulphide-quartz veins were formed at temperatures of 280–240 °C and pressures of 0.8–1.2 kbar from aqueous fluids having a salinity of 8.6–6.4 wt % NaCl eq. The narrow range of fluid salinity at decreasing temperatures and the prevalence of high-grade gold in sulphide-quartz veins indicate a relatively high rate of mineral formation in a narrow permeable zone without any significant interaction with host rocks or mixing with meteoric waters. Conclusions . Gold mineralization in the Southern Ak-Dag ore occurrence, which was formed within one ore substage, corresponds to the type of gold-galena-chalcopyrite with barite. The established similarity of native gold in the Southern Ak-Dag occurrence and other deposits in the Aldan-Maadyr ore cluster in terms of P-T parameters of ore formation and mineralogical and geochemical features, as well as association of the ore mineralization with beresites, indicate the possibility of discovering industrial ore deposits in the region and confirm its paragenetic relation with Devonian magmatic activity.
Openness in geoscience - a quantitative assessment

&amp;lt;p&amp;gt;There is growing consensus that making our research process and outputs more open is necessary to increase transparency, efficiency, reproducibility and relevance of research. With that we should be better able to contribute to answering important questions and overcoming grand challenges. Despite considerable attention for open science, including citizen science, there is no overall baseline showing the current state of openness in our field. This presentation shows results from research that quantitatively charts the adoption of open practices across the geosciences, mostly globally and across the full research workflow. They range from setting research priorities, collaboration with global south researchers and researchers in other disciplines, sharing code and data, sharing posters online, sharing early versions of papers as preprints, publishing open access, opening up peer review, using open licenses when sharing, to engaging with potential stakeholders of research outcomes and reaching out to the wider public. The assessment uses scientometric data, publication data, data from sharing platforms and journals, altmetrics data, and mining of abstracts and other outputs, aiming to address the breadth of open science practices. The resulting images show that open science application is not marginal anymore, but at the same time certainly not mainstream. It also shows that limited sharing, limited use of open licenses and limited use of permanent IDs makes this type of assessment very hard. Insights derived from the study are relevant inputs in science policy discussions on data requirements, open access, researcher training and involvement of societal partners.&amp;lt;/p&amp;gt;
Practice of implementing professional readiness of engineers in the system of continuing professional education in the electronic educational environment of the university

The article discusses the implementation of professional readiness of engineers taking into account regional characteristics in the system of additional professional education using the electronic educational environment of the university. Analysis and synthesis of studies on the use of e-education and distance learning technologies in Russia and abroad are carried out. Pedagogical experience on the use of vocational training in the system of additional professional education within the electronic educational environment of Russian universities is reviewed. Focusing on the needs of the region, an option is proposed to implement the professional readiness of engineers in the system of additional professional education in the electronic educational environment of the university.
Role of Information Sharing on the Impact of Foreign Banks’ Penetration on Banking Competition

Globalization has led to an increase in foreign banks' penetration. It is argued that the presence of foreign banks may affect the banking sector of the host countries in several ways including their competition level. It is mentioned that the presence of the foreign banks could heightened the level of competition in the banking sector. Nonetheless, the impact of the foreign banks on competition could be influenced by the degree of information sharing in the banking industry. This study investigates the role of information sharing in moderating the impact of foreign bank penetration on host banking sector competition in selected developing countries. We employ panel data samples of 54 developing countries during the period from 1998 to 2016. The estimation is carried out using the two-step system of the Generalized Method of Moments (GMM) regression technique. This technique is adopted due to its robustness to all forms of endogeneity. The findings of this study show that the presence of information sharing could affect the relationship between foreign banks' penetration and competition. They suggest that improvement in information sharing by a host country may help foreign banks to improve monitoring and reduce the moral hazard and adverse selection problem.
MENINGKATKAN MOTIVASI BELAJAR SISWA DENGAN MENGGUNAKAN MODEL PEMBELAJARAN COMPLETE SENTENCE PADA MATA PELAJARAN BAHASA INDONESIA DI KELAS V SD/MIS MADRISATUL IKBAR TEMBUNG

This type of research is Classroom Action Research (CAR), which aims to find out the increase in student motivation in using the complete sentence learning model in Indonesian subjects writing essays in class V SD / MIS Madrisatul Ikbar Tembung. Based on data analysis, that the results of Cycle I Meeting I there were 5 students who were motivated with a percentage of 16.67% and 25 students were not motivated with a percentage of 83.33%, and at Meeting II there were 7 students who were motivated with a percentage of 23, 33% and 23 students were not motivated with a percentage of 76.67%. In Cycle II Meeting I there were 18 students who were motivated with a percentage of 60% and 12 students were not motivated with a percentage of 40%, and at Meeting II there were 29 students who were motivated with a percentage of students 96.67% and 1 student not motivated by the percentage of students is 3.33%. Research data from the students' learning motivation questionnaire also increased, namely in the initial condition before the action there was 1 student who experienced high motivation with a percentage of 3.33% while in the final condition there were 24 students who had high motivation with a percentage of 80%. Then it can be concluded that by using the Complete Sentence learning model can increase student motivation in Indonesian subject matter writing essays in class V SD / MIS Madrisatul Ikbar Tembung of Academic Year 2019/2020.Keywords : Complete Sentence, motivation to learn, Indonesian Language
Research and Course Guides: Library resources for when you need a distraction: Take a break

Need a break from studying or the news? The library has a lot of resources available to you if you just need a bit of a distraction
Graph Enhanced High Dimensional Kernel Regression

In this paper, the flexibility, versatility and predictive power of kernel regression are combined with now lavishly available network data to create regression models with even greater predictive performances. Building from previous work featuring generalized linear models built in the presence of network cohesion data, we construct a kernelized extension that captures subtler nonlinearities in extremely high dimensional spaces and also produces far better predictive performances. Applications of seamless yet substantial adaptation to simulated and real-life data demonstrate the appeal and strength of our work.
시대별 한국 창작무용에 나타난 안무 특성 분석을 통해 본 안무교육에 관한 연구

The purpose of this study is to analyze the choreography characteristics and present future directions of Korean creative dance education with the concept of “Korean creative dance”, which is newly established as a dance genre by the artist's creative spirit after modernization of Korea. Therefore, in this study, the direction for establishing the choreography system for Korean creative dance in terms of education needs to set the scope of choreography education, teaching methods for choreography education, and designing courses for choreography education.
현금흐름표에 근거한 국내 종합병원의 현금흐름 특성 분석 -글로벌 금융위기 전?후를 기점으로-

Objectives: This study aimed to research the capability of securing financial soundness, such as profit-making and debt repayment, by analyzing cash flow trends in domestic general hospitals before and after the global financial crisis and investigating the current status of fund procurement and history of its management. Methods: In this study, the business performance was analyzed, taking into consideration the general characteristics of the hospital collected through vertical ratio analysis, horizontal trend analysis, and pattern analysis based on eight years of cash flow statements of 172 domestic general hospitals (2006~2013). Results: Most general hospitals in Korea showed the life cycle of the developing business type that comprises the positive (+) cash flow from sales activities, negative (-) cash flow from investment activities, and positive (+) cash flow from financing activities. Conclusions: Except for the time before and after 2008, when the global financial crisis took effect, and before and after 2012, when many large hospitals suffered from upheavals, the overall cash flows generally showed strengths. Moreover, sales capability, investment availability, and debt repayment were stable.
Negotiating the Online Classes in Primary School in Indonesia

Running online classes for grade 1 of primary school in suburban in Indonesia has become a big challenge for teacher. On one hand, teacher has to reach a target of making the students achieve specific competencies as on the national curriculum 2013. On the other hand, different level of studentsâ€™ skills, and internet credit expanses are two most cases required to be concerned. After doing the second treatment on 28 students of State Primary School 2 Bogem, Kalasan, the researcher found that the appropriate media used were WhatsApp and printed assignments. The teacher conducted WhatsApp classes twice a week and sent printed assignments every fortnight. Through these two media, the parentsâ€™ companion on the studentsâ€™ learning process is getting optimum.Â
ANALISIS SOFT SKILL DAN HARD SKILL SERTA PENGARUHNYA TERHADAP OPTIMISME CALON LULUSAN PRODI MANAJEMEN UNIHAZ BENGKULU

This research is explanatory research, intended to determine the relationship between soft skill and hard skill variables on the optimism of prospective graduates of Bengkulu Unihaz Management Study Program. The quantitative data of this study were obtained from questionnaires which were then processed into statistical analysis. The results of the analysis are known soft skill variables (X1) and hard skills (X2) have a strong and unidirectional relationship, and have a positive effect on the optimism variable of prospective graduates of the Unihaz Bengkulu study program. This is evidenced by the value of multiple correlation, multiple linear regression, t-test and f-test. Of the two independent variables hard skill contribution is greater than the soft skill. As a suggestion to improve students' hard skills and soft skills, they encourage them to be more active in research and community service, carry out excursion studies, namely visiting companies, entrepreneurs, crafts and other institutions that can foster their hard skills and soft skills, then directed to be more active in student organizations, youth and spirituality.
On the Construction of Integrated English Course with the Purpose of Eliminating “Water Course” and Creating “Gold Course”

Since it was proposed to eliminate the "water course" and create the "golden course" at the 2018 Education Conference held in Chengdu, the Ministry of Education have issued a series of notification and plan, and various universities have responded with corresponding measures and actions. Under such an educational background, this paper, based on the English teaching base of Zhejiang Yuexiu University of Foreign Languages, considers the construction of the Integrated English course. Based on the discussion of the definition of "gold lesson" and "water lesson", this paper explores the "gold lesson" and "water lesson" in integrated English course, and considers the ways to eliminate "water lessons" and build up "gold lessons" from the different perspectives of teachers and students at multiple levels. Finally, it comes to the conclusion that the construction of integrated English course is a huge and complicated process, which requires the concerted efforts of various parties. However, we will eliminate "water course" and create "gold course" by continuous research, practice, summary and improvement, which will win the battle of course construction.
AN ANALYSIS OF METONYMY AND METAPHOR IN SELECTED NEWS ARTICLES RELATED TO SPORTS IN THE JAKARTA POST

Since newspapers is a one way communication where they provide information and people receive it, the readers have to be able to understand the whole messages without the chance to clarify and to ask the other parties. This paper aims at revealing the type of metonymy and metaphor used in five selected news articles related to sports in &lt;em&gt;The Jakarta Post&lt;/em&gt;, and describing why metonymy and metaphor are used in the news articles. Furthermore, this research is a qualitative research which aims at describing and discussing about the use of metaphor and metonymy in the news articles related to sports&lt;em&gt;. &lt;/em&gt;The result revealed that there are only two types of metonymy found in the news articles namely represented entity for representative and whole for part where the most dominant type is represented entity for representative. Furthermore, all types of metaphor can be found in the data, but the most dominant type is structural metaphor. These articles tend to use represented entity for representative since it discusses about athletes and teams which play as the representative of their country. Meanwhile, the dominant use of structural metaphor because the writer tend to describe the athletes and teams as another concrete object.
Research on the Cultivation of Documentary Thinking Mode in the Teaching of Radio and TV Directors Based on Computer Aided Technology

Abstract In recent years, the economic development has promoted the prosperity of cultural undertakings, and has also given the broadcasting and television industry a broader prospect and constantly satisfying people’s spiritual and cultural needs. Radio and television directors should further create works that are more novel and meet the needs of people’s lives. Through the use of computer-aided technology, this article first deeply explores the practical value of the recording and thinking training of broadcast and television director, and puts forward suggestions and measures, hoping to contribute to the development of China’s radio and television industry. Only pay attention to the development of the recording and thinking of radio and television directors, promote development with record-based thinking, make radio and television programs more adapt to the trend of the times, provide better TV programs for the public, and promote the healthy and sustainable development of the entire industry.
Implementation of Cooperative Sub-systems for Mobile Robot Navigation

This work addresses the issue of mobile robot navigation system consisting of two cooperative sub-systems: a path planner sub-system and localizer sub-system. In the navigation system, the robot needs to localize itself and make its way to its desired location. Hence, the robot’s behavioral ability in finding its position becomes a major issue, along with its ability to plan a path to its goal. In the proposed work, the localization and path planning techniques have been adopted, and a series of experiments have been conducted using ROS based mobile robot. The experimental results reveal that the implemented sub-systems can work cooperatively as the localizer can effectively guarantee the accuracy of the robot’s current position and its orientation while the path planner can ensure that the robot maintains a safe distance from obstacles concurrent with finding an optimal path from its current position to the desired goal.
Principal Semantic Feature Analysis with Covariance Attention

In this work, we present a new module for semantic segmentation. This new module is designed as a plug in module for the backbone networks to further boosting the segmentation performance using the principal semantic feature analysis with covariance attention. Specifically, the spatial and channel covariance attention module are designed respectively, which can filter noisy regions and help the CNN to adaptively extract the dominant semantic content. By using the proposed covariance attention modules, a covariance attention architecture is built over FCN. Experimental results demonstrate the substantial benefits brought by the proposed covariance attention scheme, and show that the covariance attention mechanism is feasible and effective for improving the accuracy of semantic segmentation.
Print Media Coverage of Environmental Issues in the COVID-19 Pandemic: An Ecolinguistic Analysis

The coverage of environmental issues is of great importance to Moroccan newspapers, namely As-Sabah, Al-Akhbar, and Al-Massae. The present study explores the frequency of articles that covered environmental issues and investigated the newspapers' professionalism in writing environmental reports on man's environmental setting violations. The Research was accomplished through the framework of ecolinguistics to categorize and analyze all environmental stories that extended from March to July 2020. The sums of 308 issues of the three newspapers were manually checked to identify the issues reported about environmental problems. The findings revealed that environmental coverage by the three newspapers was feeble. Precisely, only 73 newspaper issues pertaining to the three newspapers contained at least one environmental title. Practically, identified environmental articles were manually searched and treated based on a keyword selection such as environment, forest, animals, water, pollution, air, irrigation, deforestation, and overgrazing, among other words. In total, the final sum of environmental articles published by the three newspapers during the COVID-19 period were 92 articles (1.8%) over 4922 total articles published by 73 issues. The role of print media is determinant in covering environmental topics to maintain the public informed about the protection of environmental resources during the COVID-19 pandemic. Unfortunately, this role is far from being achieved given the feeble interest devoted to environmental issues and the way through which the newspapers have produced environmentally based stories. To remedy this situation, some recommendations are afforded to improve the writing of environmental reports in line with ecolinguistics principles and environmental journalism ethics.
Certified Defense to Image Transformations via Randomized Smoothing

We extend randomized smoothing to cover parameterized transformations (e.g., rotations, translations) and certify robustness in the parameter space (e.g., rotation angle). This is particularly challenging as interpolation and rounding effects mean that image transformations do not compose, in turn preventing direct certification of the perturbed image (unlike certification with $\ell^p$ norms). We address this challenge by introducing three different kinds of defenses, each with a different guarantee (heuristic, distributional and individual) stemming from the method used to bound the interpolation error. Importantly, we show how individual certificates can be obtained via either statistical error bounds or efficient online inverse computation of the image transformation. We provide an implementation of all methods at this https URL.
Corrected Stochastic Dual Coordinate Ascent for Top-&lt;i&gt;k&lt;/i&gt; SVM

Currently, the top-k error ratio is one of the primary methods to measure the accuracy of multi-category classification. Top-k multiclass SVM was designed to minimize the empirical risk based on the top-k error ratio. Two SDCA-based algorithms exist for learning the top-k SVM, both of which have several desirable properties for achieving optimization. However, both algorithms suffer from a serious disadvantage, that is, they cannot attain the optimal convergence in most cases owing to their theoretical imperfections. As demonstrated through numerical simulations, if the modified SDCA algorithm is employed, optimal convergence is always achieved, in contrast to the failure of the two existing SDCA-based algorithms. Finally, our analytical results are presented to clarify the significance of these existing algorithms.