Reviewerly/exHarmony huggingface dataset:
Similar scene retrieval in soccer videos with weak annotations by multimodal use of bidirectional LSTM.

This paper presents a novel method to retrieve similar scenes in soccer videos with weak annotations via multimodal use of bidirectional long short-term memory (BiLSTM). The significant increase in the number of different types of soccer videos with the development of technology brings valid assets for effective coaching, but it also increases the work of players and training staff. We tackle this problem with a nontraditional combination of pre-trained models for feature extraction and BiLSTMs for feature transformation. By using the pre-trained models, no training data is required for feature extraction. Then effective feature transformation for similarity calculation is performed by applying BiLSTM trained with weak annotations. This transformation allows for highly accurate capture of soccer video context from less annotation work. In this paper, we achieve an accurate retrieval of similar scenes by multimodal use of this BiLSTM-based transformer trainable with less human effort. The effectiveness of our method was verified by comparative experiments with state-of-the-art using actual soccer video dataset.
Recent Advances in Smartphone Computational Photography

Smartphone cameras present many challenges, most of which come from the need for them to be physically small. Their small size puts a fundamental limit on their ability to resolve detail and collect light, which makes low-light photography and zooming difficult. This paper presents two approaches to improve smartphone photography through software techniques. The first is handheld super-resolution which uses natural hand movement to improve the resolution smartphone images, especially when zoomed. The second approach is a system which improves low light photography in smartphones.
LibGuides: Middle School Digital Learning: Reference Sources

This guide is to provide resources and support for middle school teachers who may be teaching digitally for the first time. Online resource links about digital learning.
Cause-and-effect relations between cosmic rays, electric field, aerosols and clouds

&amp;lt;p&amp;gt;Here we examine the cause-and-effect relations between galactic cosmic rays, electric field, aerosols and clouds over a region of Atlantic Ocean, during a Forbush Decrease (FD) event on 07/12/2015, using Convergent Cross Mapping (CCM) method. For this purpose, we used FD data from the Neuron Monitor Database (NMDB), Potential Gradient data (PG) from Global Coordination of Atmospheric Electricity Measurements (GLOCAEM) and remote sensing data from MODIS/Aqua, namely Aerosol Optical Depth at 550nm (AOD), Cloud Fraction (CF), Cloud Optical Thickness (COT), Cloud Top Pressure (CTP), Cirrus Reflectance (CR) and Cloud Effective Radius-Liquid (CERL). A cause-and-effect relation was found between FD and AOD, CERL, CF and PG, over the region. On the other hand, no causal effect was found between FD and COT, CTP and CR. This research is funded in the context of the project &amp;quot;Cosmic and electric effects on aerosols and clouds&amp;amp;#8221; (MIS: 5049552) under the call for proposals &amp;amp;#8220;Support for researchers with emphasis on young researchers - Cycle B&amp;amp;#8221; (EDULL 103). The project is co-financed by Greece and the European Union (European Social Fund - ESF) by the Operational Programme Human Resources Development, Education and Lifelong Learning 2014-2020.&amp;lt;/p&amp;gt;
GEOCHEMICAL CHARACTERISTICS OF THE GABBROIC INTRUSIVE BODIES OF FOBUR, EAST OF JOS PLATEAU, CENTRAL NIGERIA.

The Fobur gabbros are situated in Jos East Local Government Area of Jos Plateau, Central Nigeria. They occur as minor intrusions within the migmatites, Jos biotite granites and Neil biotite granite. They are distinguished into quartz-olivine gabbro and normal gabbro. Mineralogically, they are composed of essentially plagioclases majorly, hornblende, with subordinate amounts of biotite, olivine, clinopyroxenes and titanaugite with little quartz, iron oxides and apatite occurring as accessory minerals. A total of 10 rock samples were analyzed for major, trace and rare earth elements using ICPMS. Geochemical features indicate that these gabbroic rocks are tholeiitic with weak alkaline affiliation and were formed within a continental tectonic setting (within plates). On the TAS classification diagrams, the rocks expressed variations in their composition ranging from gabbro  gabbroicdiorite  syenodiorite. Major oxide trends show that they are product of fractional crystallization with partial melting playing an important role in their petrogenesis. Their trace element geochemistry revealed enrichment in incompatible elements (LILE) relative to High Field Strength Elements (HFSE) as displayed in EMORB, MORB and OIB normalized spiderdiagrams suggesting that the magma which gave rise to the gabbros most likely came from the astenospheric mantle source rich in incompatible elements.
Editor in information society: present and future of the profession

Discussed are problems of modern editorial education and the market requirements for the “editor” category. The authors examined the competencies of a classical and network editor, and the possibilities of combining them in one official position. The necessity of knowledge and compliance with ethical and legal norms in the work of the editor in any field of production and dissemination of information is shown.
Library and Academic Success: Artificial Intelligence: Tipsheets & Tutorials

Artificial Intelligence machine learning deep learning artificial neural network data mining natural language processing robotics mechatronics
Deep Learning Models for Classification of Cancer Data Using Pre-Trained CNN Based Architectures

The visual examination of histopathological images is the gold standard in the diagnosis of breast cancer, but an intricate and strenuous process that takes years of pathologist training. Hence, automating this task using computer assisted modelling is highly anticipated. This article suggests an approach of transfer learning from the histopathological images for automated classifications of breast cancer disease. Five different convolutional neural networks (CovNets) are used for the prediction of breast cancer disease. VGG16 net, Mobile net, Resent50, Resent101, and Resent152 are used for the prediction of the disease. The loss and accuracy of the trained model and the validation data set is performed. Using confusion matrix visualization technique, the precision, F2 score, recall, and support are thoroughly analyzed for each model separately. The analysis revealed that VGG16 net and Resent152 are capable of predicting the breast cancer disease conveniently compared to other models. Resent50 failed to predict the disease appropriately.
The Application of the Peer Tutoring Method in the Basic Nursing Science II Course

The peer tutorial method is part of cooperative learning or learning together.In this model, underprivileged students are helped to study by their more capable peers in a group.Edward L. Dejnozken and David E. Kopel in the American Education Encyclopedia stated that the definition of peer tutor is as follows: Peer tutor is a procedure for students to teach other students.Learning together in groups with peer tutors is one of the characteristics of competencybased learning, through interaction and communication activities, students become active in learning, so they become effective.Some of the types used in the implementation of Peer tutoring are the first type with teachers and learners of
Latent factor model based zero-shot learning

Abstract The key of zero-shot learning is to design an appropriate approach to capture the potential relevance between the image visual features and category-level semantic knowledge. There is a lot of data with matrix form in zero-shot recognition problem, such as image label matrix, visual feature matrix and semantic information matrix. Inspired by the latent factor model which tackles recommendation problems well avoid being influenced by sparse matrix, we regard an image as a user and analogize each dimension of the visual feature as an item. The key to our approach is that we model the image recognition as a special recommendation problem by aid of latent factor model. We evaluate our algorithm on three classic benchmark data sets for both conventional and generalized zero-shot setting, the classification results outperform significantly the state-of-art approaches with low calculation cost.
Suavizado de trayectorias de navegación robótica, basado en un esqueleto ponderado generado por teselación, basado en colisiones y dilatación de frente de onda

Discretization processes adapted to robotic configuration spaces designed to limit the possible positions and movements of a robot in a continuous environment, have been based mainly on four methods for robotic motion planning: potential fields based, cell decomposition, roadmaps and sampling. However, these methods are not suitable for finding smooth routes through obstacles, and at he same time, avoiding collisions and taking into account the dimensions of the robot. This work proposes a new tessellation method using Bezier curves, which facilitates drawing of smooth curves while respecting restrictions imposed by the environment. The method takes into account the dimensions of the robot and, through a vector description of the configuration space, it constructs a skeleton of the configuration space between obstacles, where each point of the skeleton, in addition to having information on its coordinate, includes information about the transverse distance between objects at each point of the skeleton
Physical training at educational institutions of the Ministry of Internal Affairs of Russia in the context of distance learning

The research subject is the peculiarities of practical physical training lessons in the context of distance learning at educational institutions of the Ministry of Internal Affairs of Russia. The purpose of the article is to analyze the reasons for the downward trend of practical lessons and insignificant growth of the rates of the theoretical section of the physical training discipline caused by the conditions of distance learning. The topicality of the research is determined by the necessity to maintain the quality of professional training of personnel in educational institutions of the Ministry of the Interior during distance learning. The research methodology includes the method of quantification and mathematical statistics. The scientific novelty of the research consists in the following: a) the authors analyze the statistical data reflecting students performance before the move to remote learning and right after its completion; b) the authors analyze the performance rates of students before and after the move to distance learning; c) the authors raise the problem of development of the required level of knowledge and skills in the physical training discipline by the students during remote learning. The authors conclude that temporal exclusion of practical physical training lessons hampers the formation of professional competence of students. The research results can be used for planning and organization of the educational process in the Special physical training discipline at educational institutions of the Ministry of Internal Affairs of Russia.&amp;nbsp; &amp;nbsp;
Comparison of Face Detection and Recognition Algorithms in Real-Time Video

Facial recognition systems has captivated research attention in recent years. Facial recognition technology is often required in real-time systems. With the rapid development, diverse algorithms of machine learning for detection and facial recognition have been proposed to address the challenges existing. In the present paper we proposed a system for facial detection and recognition under unconstrained conditions in video sequences. We analyze learning based and hand-crafted feature extraction approaches that have demonstrated high performance in task of facial recognition. In the proposed system, we compare different traditional algorithms with the avant-garde algorithms of facial recognition based on approaches discussed. The experiments on unconstrained datasets to study the face detection and face recognition show that learning based algorithms achieves a remarkable performance to face the challenges in real-time systems.
LibGuides: Technology Integrated Lesson Plan Development: General Education Example

The purpose of this LibGuide is to empower faculty with short and adoptable training so that they can improve their technology integration levels in their courses.
Subjective And Objective Assessment Of Video Game Context Factors

The recently published ITU-T Recommendation G1.032 proposes a list of factors that may influence cloud and online gaming Quality of Experience (QoE). This paper provides two practical evaluations of proposed system and context influence factors: First, it investigates through an online survey (n=488) the popularity of platforms, preferred ways of distribution, and motivational aspects including subjective valuations of characteristics offered by today's prevalent gaming platforms. Second, the paper evaluates a large dataset of objective metrics for various gaming platforms: game lists, playthrough lengths, prices, etc., and contrasts these metrics against the gamers' opinions. The combined data-driven approach presented in this paper complements in-person and lab studies usually employed.
Suitability criteria used by future primary school teachers in the assessment of math educational videos Critérios de idoneidade na avaliação de vídeos educativos de matemáticas realizados por futuros professores do ensino fundamental

This research describes the criteria implicitly used by a group of future primary school teachers when assessing the adequacy of the planned didactical trajectory after watching two videos in an educational channel to teach sixth graders a specific content, percentages. The content analysis methodology is used to examine the written reports prepared by 61 third-year students enrolled in the class Design and Development of Primary Education Mathematics Curriculum during the 2019-2020 school year, as part of the Primary Teacher Education program at the University of Granada, Spain. Their reports were assessed based on the authors a priori consensus analysis of the didactic suitability of educational videos. Results show that student teachers implicitly use epistemic and interactive criteria to a great extent, as well as cognitive, affective, and ecological criteria. Although in general their assessments are quite inaccurate, student teachers recognize the need for teachers to analyze the relevance of these resources before recommending them to their students, which have acquired a fundamental role in education with the virtual teaching format due to the arrival of COVID-19. The paper highlights the importance of giving educators the opportunity to reflect on the practice by incorporating tools that allow them to direct their attention to relevant aspects in the teaching and learning process. © 2021 Cold Spring Harbor Laboratory Press. All rights reserved.
Tacoma Community College Library: HUM 101: Wakefield, R. (Fall 2019): Home

This guide is to help students find, evaluate, and cite sources for research assignments in Humanities 101.
LibGuides: HIST2 - Primary Source Research Guide: Technology Resources

This guide provides resources and suggestions for locating both primary source materials and secondary sources that provide context for understanding those primary sources.
[Effects of small irrigation facilities on hydrological connectivity of ditches in North Jiangsu Plain, China.]

Hydrological conditions in the plains irrigation area are complex, which are strongly affected by small irrigation facilities and human management. In this study, the connectivity index of ditch network and the influence index of rural small irrigation facilities were constructed to quantitatively analyze the hydrological connectivity of a typical plain irrigation area, Fudong irrigation area, in north Jiangsu Province. The self-organizing feature map (SOM) analysis method was used to identify the effects of small irrigation facilities on the spatial heterogeneity of ditch network structure connectivity. The results showed that the hydrological structure connectivity differed in different regions of Fudong. The connectivity in the north of the irrigation area was the best, but the worst in the central and southern part of the irrigation area. There were 876 pumps, 633 gates and 2420 culverts in the study area. Without the effects of small irrigation facilities, there were 13 villages with poor hydrological structure connectivity and 48 villages with good and best hydrological structure connectivity. Under the effects of small irrigation facilities, the number of villages with poor connectivity was reduced to 8, while the number of villages with good and best connectivity was increased to 53. Due to the influence of gates and culvert, the hydrological connectivity of 26 villages in Fudong became poor. The hydrological connectivity of 39 villages had been enhanced due to the existence of pump.
A study of Natural Languange Processing for Information Classification at XYZ University

Undoubtly that social media has been used to exchange idea easier and faster. That increasingly widespread exchange of data on social media boosts the data growth and generates various structures of data. University can benefit this large of data by gaining knowledge related to topics discussed by social media users. By gaining this knowledge, university can define which information must be disseminated by analyzing the topic that most of users discussed on social media. However, the diversity of data structures spread on  social media complicates the process of obtaining this knowledge. This can be overcome by analyzing social media data using the Natural Language Processing method. This study suggests a framework for text classification using topics in the form of Indonesia language that is spread on social media. The data analyzed in this research are social media data on Facebook and Twitter at the XYZ University. This analysis was carried out by conducting experiments using applications from previous research
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ ОСНОВЫ АКТИВАЦИИ РЕЧЕВОЙ ДЕЯТЕЛЬНОСТИ УЧЕНИКОВ НАЧАЛЬНОЙ ШКОЛЫ ЧЕРЕЗ ИСТОЧНИКИ

This article describes the content of theThis article describes the content of the updated education programme and addresses the speech problems of younger school children. We give definition to speech activity of children of primary grades, and the peculiarities of the development of speech activity at this age are also revealed. We show in the article the means of working with sources. During the article on methods of working with sources, we focus on psycho-pedagogical analysis of activation of speech activity of pupils of primary classes. It also shows the activity of speech activity according to the age capabilities of primary school pupils. All know during the work with sources for development of the speech the didactic principles occupy an important role, we considering features and requirements of the work could give the approximate system of the didactic principles.
THE STRATEGIES OF TEACHING IN READING COMPREHENSION

The strategies are needed in teaching-learning process, because to build students’ ability in reading. Through strategy in teaching-learning reading to make students interested to learning reading class. How are the implementation of teaching strategies and what strategies are the teacher used in reading comprehension in reading comprehension at SMP Muhammadiyah 1 Banjarmasin was a problem of study. To describe the implementation of teaching strategies in reading comprehension and know the strategies of the teacher used when teaching was the research objective. This research used a descriptive qualitative method. 75 students consist of three classes were the subjects. Observation and interview were the instruments. The result of the research showed that the teacher used group discussion; is used to answer the questions based on their read in a group. Gallery walk; is used for the students after they finished see the pictures, they were asked questions related to pictures. Mind mapping; is used for students to make mind mapping based on their thinking. Therefore, the teacher used three such as group discussion; discuss together to solve the problem. Gallery walk; students get the information after they see the pictures. Mind mapping; activity to develop their thinking. Based on the result, it is suggested that students should be more active in the class and students should be ready to study. Besides that, the teacher should use more English when teaching in the classroom.
МОДЕЛИРОВАНИЕ ОБРАЗОВАТЕЛЬНОЙ ПРОГРАММЫ ПОДГОТОВКИ ПЕДАГОГА В РАМКАХ КОМПЕТЕНТНОСТНОГО ПОДХОДА

The aim of the article is to determine the components for modeling the educational program of a teacher training within the competency-based approach in education. To achieve the aim, a number of tasks are solved in the research: a review and analysis of the problem in modern pedagogical literature, the identification of competencies’ types, the anal- ysis of questionnaires. The authors analyzed students’ questionnaires and showed the ranking results of the general and professional competencies of students studying the educational program of higher education “Pedagogical Sciences”. The study compares and analyzes the competencies selected by students, which are the most and least significant for their future professional activities. A number of recommendations are given for the organization and implementation of re- search activities and forming students’ research competency throughout the learning process at the university.
LibGuides: School of Science and Technology: Electronic Resources Access

This guide is intended to assist you find and use resources relating to Science and Technology
FEASIBILITY OF PASSIVELY COLLECTED GAIT PARAMETERS USING A SMARTPHONE-BASED CARE PLATFORM FOLLOWING TOTAL HIP AND KNEE ARTHROPLASTY

Introduction Recent advances in algorithms developed with passively collected sensor data from smart phones and watches demonstrate new, objective, metrics with the capacity to show qualitative gai...
Impact of Financial and Non-financial Rewards on Employee Motivation and Employee Commitment among SMEs textiles sector of Karachi Pakistan

SMEs in Pakistan are not performing according to their potential. Besides other factors,they do not have a well-structured rewards package, due to which the employee motivationand commitment are low. Thus, we have developed a new model to examine the effectof rewards and packages on employee commitment and motivation. We have recruitedsix enumerators to collect the data from the target population. The enumerators havedistributed 400 questionnaires, and they received 385 filled questionnaires. The authorshave used Smart PLS version 3.2 for statistical analysis. The developed model has five directand two mediating relationships. We found support for all hypotheses. The results suggestthat financial and non-financial rewards affect employee commitment and motivation.Commitment stimulates motivation. Also, employee commitment mediates (1) nonfinancialreward and motivation and (2) financial-reward and motivation. The findings are consistent with the past literature. SMEs in Pakistan do not have a well-structured HRdepartment, and they make reward-related decisions arbitrarily. Thus, we recommend thatSMEs develop a policy for rewards that is rational and unbiased. We also recommend thatthey should balance non-financial and financial rewards.