Reviewerly/exHarmony huggingface dataset:
Providing financial assistance to prisoners of war of the Russian army who returned home in the Bryansk district of the Oryol province.

Each branch of human activity has its own history of development. The history of the book was formed over the centuries, at that time there was no printing or writing, the ways of transmitting information could be sound signs or images on stone, tree bark, etc. Modern processes taking place in the field of printing and printing can be understood only by studying its rich history. This fully concerns the development of the book and publishing business in the Crimea. This article analyzes the history and development of publishing in the Crimea in the pre-revolutionary period. Information is provided about the peoples of the Crimea, who influenced the development of publishing on the peninsula. The names of enterprises that operated on the territory of the Crimea are indicated. The archival documents, which indicate the printing enterprises of the Crimea, are analyzed.
An Analysis of Students’ Pronunciation Consonants Errors in Reading Aloud

As one of language components, pronunciation needs to be known by the students. This study explained about students’ pronunciation consonants errors in reading aloud. The problem statements of this study were which sounds were being the errors and what was the types of error occur in pronouncing English consonant of students at Eight Grade of SMP Nahdatul Ulama. The objectives of this study were to identify the student’s errors and to classify the errors by its types.The researcher used descriptive analysis. For data collection the researcher gave the student test, then the researcher analyzed the data descriptive qualitatively.The researcher concluded that (1) The sounds were being the errors in pronouncing English consonant in reading aloud at Eight Grade of SMP Nahdatul Ulama are 12 initial consonants are [f] [v] [θ] [ð] [z] [ʃ] [tʃ] [ʒ] [dʒ] [k] [r] and 19 final consonants are [p] [b] [f] [v] [θ] [ð] [d] [t] [z] [ʃ] [tʃ] [ʒ] [dʒ] [g] [k] [r] [ŋ] are error. (2) The types of error occur in pronouncing English consonants were pre-systematic errors, systematic errors and post-systematic errors.
Library Guides: How to Find Books at This Library and Get Ones We Don't Have: The CSU+ Service

Find books at this library or search all CSU libraries at once. Learn how to use CSU+ to request books from other CSUs. #1search #onesearch #books
Structural Design Optimization Using Particle Swarm Optimization and Its Variants

Abstract Structural design optimization has become an extremely challenging and more complex task for most real-world practical applications. A huge number of design variables and complex constraints have contributed to the complexity and nonlinearity of the problems. Mathematical programming and gradient-based search algorithms cannot be used to solve nonlinear problems. Thus, researchers have extensively conducted many experimental studies to address the growing complexity of these problems. Metaheuristic algorithms, which typically use nature as a source inspiration, have been developed over past decades. As one of the widely used algorithms, particle swarm optimization (PSO) has been studied and expanded to deal with many complex problems. Particle swarm optimization and its variants have great accuracy in finding the best solution while maintaining its fast convergence behavior. This study aims to investigate PSO and its variants to solve a set of complex structural optimization problems. Several complex benchmark studies of design problem were provided to study the performance of PSO, linearly decreasing inertia weight PSO and bare bones PSO. The results support the potential use of PSO and its variants as an alternative approach to solving structural design optimization problems.
Aesthetic Representation of Defamiliarization Techniques Translation of Yu hua"s Novels: Alive and Chronicle of a Blood Merchant in Korean Version

Defamiliarization is the essential nature of literary language, and how to conserve it in the process of translation, which is the important criteria in assessing the literary value of translation and the author"s identity. Defamiliarization in translation requires an author to have the status of a creator of literary works in addition to be just a writer at the same time. This paper suggests a new vision in researching Chinese-Korean translation study as we consider how the arts of narration and rhetoric regarding defamiliarization in the original are reproduced in Korean translation of Yu Hua"s novels, "Alive" and "Chronicle of a Blood Merchant".
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese

We examine a methodology using neural language models (LMs) for analyzing the word order of language.This LM-based method has the potential to overcome the difficulties existing methods face, such as the propagation of preprocessor errors in count-based methods.In this study, we explore whether the LMbased method is valid for analyzing the word order.As a case study, this study focuses on Japanese due to its complex and flexible word order.To validate the LM-based method, we test (i) parallels between LMs and human word order preference, and (ii) consistency of the results obtained using the LM-based method with previous linguistic studies.Through our experiments, we tentatively conclude that LMs display sufficient word order knowledge for usage as an analysis tool.Finally, using the LMbased method, we demonstrate the relationship between the canonical word order and topicalization, which had yet to be analyzed by largescale experiments.Model Verbs whose type-A examples prefer the ACC-DAT orderVerbs whose type-B examples prefer the ACC-DAT order CLM "預ける" (deposit), "置く" (place), "持つ" (have), "入 れる" (put in), "納める" (pay), "郵送" (mail), "供 給" (supply), "出す" (put out), "運ぶ" (transport), "流 す" (shed), "掛ける" (hang), "飾る" (decorate), "広 げる" (spread), "移す" (transfer), "残す" (leave), "配 送" (deliver), "送る" (send), "投げる" (throw), "送 付" (send), "返却" (return), "届ける" (send), "戻す" (return), "着ける" (wear), "上げる" (increase), "落と す" (drop), "載せる" (publish), "変更" (change), "納 入" (deliver), "卸す" (unload), "掲載" (publish), "通 す" (get X through)"配 布" (distribute), "渡 す" (pass), "プ レ ゼ ン ト" (present), "合わせる" (match), "見せる" (show), "提 供" (offer), "与える" (give), "当てる" (hit), "回す" (turn), "追加" (add), "貸す" (lend), "展示" (exhibit), "据える" (lay), "依頼" (request), "挿入" (insert), "纏 める" (collect), "請求" (claim) SLM "預ける" (deposit), "置く" (place), "頼む" (ask), "入 れる" (put in), "納める" (pay), "郵送" (mail), "出 す" (put out), "運ぶ" (transport), "流す" (shed), "掛け る" (hang), "広げる" (spread), "移す" (transfer), "残 す" (leave), "リクエスト" (request), "配送" (deliver), "送る" (send), "投げる" (throw), "送付" (send), "求 める" (ask), "提出" (submit), "届ける" (deliver), "要 求" (request), "戻す" (return), "寄付" (donate), "寄贈" (donation), "着ける" (wear), "乗せる" (place), "上げ る" (increase), "落とす" (drop), "貼る" (stick), "分け る" (divide), "ばらまく" (scatter), "はめる" (fit), "支 払う" (pay), "配達" (deliver), "卸す" (unload), "纏め る" (collect), "通す" (get X through)"プレゼント" (present), "持つ" (have), "合わせる" (match), "見せる" (show), "向ける" (point), "提供" (offer), "装備" (equip), "追加" (add), "展示" (exhibit), "据える" (lay), "採用" (adopt)
Incidentes críticos en prácticas con tecnologías digitales

This work is framed within a research that aims at inquiring about the possibilities, advantages and limitations that the integration of digital technologies offers at the time of reflecting upon the practices developed by teachers in initial teacher training and in service. The methodological approach selected is action research in the framework of learning communities and communities of practice. The research shows the way followed by the members of the community of Centro Regional de Profesores del Centro (CeRP) belonging to Consejo de Formacion en Educacion (CFE) and the community of teachers belonging to Universidad de la Republica (UdelaR) who attend the continuous teacher development that Programa de Entornos Virtuales de Aprendizaje (ProEVA) of the Comision Sectorial de Ensenanza (CSE) offers. This article focuses on the application of an instrument of reflection called: Analysis of critical incidents (IC). It is worth mentioning that even when the participants have identified some of the barriers that hinder a better performance at the time of considering digital technologies as mediators of learning, they have only focused on those in relation to connectivity or working. It is clear that the work with IC has favoured reflection on practices with digital technologies apart from making contributions to the process of building the professional identity of the members of both communities.
Development of a Pseudo-Closed Loop Solar Collector Sun Tracking System with Optimized Set-Point Paths for Flat Plate Payload

This paper provides the theoretical framework for the development of a pseudo-closed loop solar tracking system incorporating a microcontroller for a flat payload, where the outputs of the system (the slope and the azimuth angles of the payload) are observed and the set-points for the system are to be optimally computed by the microcontroller. It also presents, from literature, the equations and models solar angles and incident angles for the development of the optimum set point path for the tracking, and gives the outline of the signal flow plan, as well as the corresponding flowchart, for the tracking system’s components interaction. The concept would provide a cheaper and simpler alternative to dual axis solar tracking incorporating solar sensors. The models presented here are adaptable to any geographical location in Nigeria and globally.
Oregon Web Solutions Has Partnered With Gaming Powerhouse INK Gamkes To Market New Gaming Platform

Since the first video game hit the market in the early 1970s, the world has been captivated by the virtual reality they can provide. INK Games is on the ...
Shallow triple Unet for shadow detection

Shadow detection is an important part of scene understanding tasks. This paper proposes a network, named Shallow Triple Unet, using shallow Unet as a unit for shadow detection. The network structure is intuitive and the number of parameters is small. With the techniques of hierarchical supervision and results fusion, it can achieve a good shadow detection effect. In order to prove the effectiveness of the network, we performed experiments on popular SBU datasets and compared them with networks such as patched-CNN, stacked-CNN, scGAN, and DSC. The results prove that our network is the best among them, with a BER index of 5.45%. In addition, we also performed ablation experiments to verify the role of various parts of the network. Experiments show that all the techniques we use have significantly improved shadow detection results.
Library Guides: Anti-Racism Resources: Social Media

The Blissell Library condemns racism in all forms and encourages the use of the following resources for education and discussion.
Better Together: Resnet-50 accuracy with 13× fewer parameters and at 3× speed

Recent research on compressing deep neural networks has focused on reducing the number of parameters. Smaller networks are easier to export and deploy on edge-devices. We introduce Adjoined networks as a training approach that can regularize and compress any CNN-based neural architecture. Our one-shot learning paradigm trains both the original and the smaller networks together. The parameters of the smaller network are shared across both the architectures. We prove strong theoretical guarantees on the regularization behavior of the adjoint training paradigm. We complement our theoretical analysis by an extensive empirical evaluation of both the compression and regularization behavior of adjoint networks. For resnet-50 trained adjointly on Imagenet, we are able to achieve a 13.7× reduction in the number of parameters and a 3× improvement in inference time without any significant drop in accuracy. For the same architecture on CIFAR-100, we are able to achieve a 99.7× reduction in the number of parameters and a 5× improvement in inference time. On both these datasets, the original network trained in the adjoint fashion gains about 3% in top-1 accuracy as compared to the same network trained in the standard fashion.
LibGuides: 2019-2020 Reading Challenge Nominees: OTTER Award Nominees 2020

Students in grades 3-8 can earn a free book at the last book fair by meeting the challenge: 3rd Grade - 6 books 4th Grade - 7 books 5th Grade - 8 books 6-8th Grade - 10 books (and other conditions ;))
The Effectiveness of Jigsaw Strategy to Improve Students' Reading Comprehension at MA. Darul Imad Kabupaten Banjar

Mahrita. 2019. The Effetiveness of Jigsaw Strategy to Improve Students’ Reading Comprehension at MA. Darul Imad Kabupaten Banjar. Thesis, English Education Department, Faculty of Tarbiyah and Teachers Training. Advisors: (I) Hj. Nur Laila Kadariyah, S.Ag, M.Pd. and (II) Afifah Linda Sari, M.Pd.Keywords: Effectiveness, Jigsaw, Improve, Reading Comprehension.This thesis described the effectiveness of jigsaw strategy to improve students’ reading comprehension at MA Darul Imad Kabupaten Banjar academic year 2017/2018. The subject of this research was two classes contain 64 students of eleventh grade at MA Darul Imad academic year 2017/2018. The Object of the research was effectiveness of jigsaw strategy to improve students’ reading comprehension at MA Darul Imad Kabupaten Banjar academic year 2017/2018.To collect the data, the researcher used observation and test. The test contained pre-test and post-test. The method of this study was quasi experimental design which consisted two groups or classes, a class for experiment and a class for control design and to find out the result of students’ improvement, this research used multiple-choice type contains 20 questions. Then, the data were analyzed quantitatively and explain qualitatively.The result of this study stated that jigsaw strategy was not effective to improve students’ reading comprehension, the calculating mean of experimental class for post-test was 66,03 in fair category. The calculating mean of control class for post-test was 55,67 in low category. The data analysis, the researcher used Independent Sample T-test by SPSS 23 and found t-count was less than t-table. Thus, there was no significant difference between students’ reading comprehensions who were taught by Jigsaw strategy and who were taught without it. It can be concluded that the jigsaw strategy was not appropriate to be taught in reading comprehension.
Performance Analysis of the Impact of Vertical Scaling on Application Containerized with Docker : Kubernetes on Amazon Web Services - EC2

Containers are being used widely as a base technology to pack applications and microservice architecture is gaining popularity to deploy large scale applications, with containers running different ...
Visualizing our galaxy using Virtual Reality and big data

Big data is becoming ever increasingly important in every kind of scientific field, and data visualization is a big part of gaining an understanding of the data. Exploring data builds on intuition but exploring some data on a 2D screen can remove some of the intuition that is gained by exploring in 3 dimensions. Navigation of data visualization programs are often complex and slow to move through. With the rise of VR, we can explore data faster with greater intuition. The process for developing the system was done iteratively starting with a meeting discussing the current flaws of visualization methods and what one would like to see in a Virtual Reality tool. Then the iterative process proceeded by implementing the features and improvements discussed. The tool was then tested by the targeted users and then discussion was held on what can be improved. This continued until the final testing phase in which targeted users evaluate how the tool compare to other more standard 2D-tools used in their field. (Less)
LibGuides: 2019-2020 Reading Challenge Nominees: Young Reader's Choice Awards

Students in grades 3-8 can earn a free book at the last book fair by meeting the challenge: 3rd Grade - 6 books 4th Grade - 7 books 5th Grade - 8 books 6-8th Grade - 10 books (and other conditions ;))
Safe and natural navigation in dynamic environments, learned from human behavior

Social Navigation is the task of robot motion planning in an environment shared with humans.This is an especially hard sub-problem of motion planning because the planner has to dealwith a dynamic, continuous and unpredictable environment. We present a local motionplanner, namely Neural Network Model Predictive Control, for autonomous ground vehiclesin highly dynamic environments. A neural network is trained to plan local trajectories basedon human behavior data. It has therefor learned to mimic how a person would behave in sucha situation. The trajectory plan of the neural network is used as guidance and initializationof a model predictive controller. This MPC creates a kinematically feasible trajectory andassures collision avoidance with the static and dynamic obstacles in the environment withinits receding horizon. This combined planner and controller is tested in simulation and showedon a real autonomous robot
Integrative Teaching Chemistry at the Professional College of the Republic Kazakhstan

The article discusses the experience of students of Kazakhstani colleges in integrated chemistry education. There is a contradiction between the objective necessity of providing multilateral natural-science training for students of technical colleges and the relatively narrow focus of the learning process in these educational institutions, which is complicated by the objectively existing specifics of each of the main natural-science subjects.The scientific novelty of the work is to develop an integrated chemistry course as a general educational discipline. It is established that an integrated chemistry course for students of a technical college helps to improve the quality of knowledge in the subject, the resulting quality of learning and the effectiveness of training.The results of studies to establish the features of an integrated chemistry course, as well as methodological recommendations aimed at increasing the effectiveness of studying chemistry as a general discipline in a technical college, can be used to develop a chemistry course and methods of studying it in other TVE institutions.
Virtual Reality Branding Campaigns, Impact and Public Perception: An Abstract

Marketing practitioners have long recognised the importance of non-transactional customer behaviour (Sashi 2012). In line with this, the industry introduced the ‘engagement’ metric in strategic marketing and branding to assess corporate and brand performance (Van Doorn et al. 2010). Prospect and trend reports from the industry indicate that advances in digital technologies continue to shape the business landscape. In line with that, a shift towards engaging consumers through implementations of new technologies can be observed throughout a broad range of different industries. Arguably, one of the most prominent new technologies is virtual reality (VR), which can be defined as a real-time, immersive and interactive multisensory experience situated in, and artificially induced by, a responsive three-dimensional computer-generated virtual environment—usually paired with advanced input and output devices (e.g. head-mounted display and haptic motion feedback controllers; de Regt and Barnes 2019). Various brands are currently experimenting with virtual reality technology and incorporating it into their marketing strategies in order to create more profound connections with their target audiences—i.e., by increasing awareness, promoting engagement and generating unique brand experiences. Although VR technology is moving towards widespread adoption, the possibilities and impact of how VR can best be implemented to enhance both product and brand marketing have not been investigated fully. This research aims to contribute to this knowledge by investigating how VR experiences are perceived by consumers, specifically focusing on how they influence brand perception and the consumer’s intention to engage with the brand. The research is based on a series of semi-structured focus group interviews with a purposeful sample of English-speaking participants. Prior to taking part in the focus groups, all participants experienced VR through head-mounted displays (HMDs). A semi-structured interview framework was implemented to generate the in-depth and actionable brand insights. The paper rounds off with recommendations for practice and future research.
Efficient Semi-Supervised Learning and Sparse Structural Learning for Feature Selection of Leukemia Dataset

The amount of data produced in health informatics growing large and as a result analysis of this huge amount of data requires a great knowledge which is to be gained. The basic aim of health informatics is to take in real world medical data from all levels of human existence to help improve our understanding of medicine and medical practices. Huge amount of unlabeled data are obtainable in lots of real-life data-mining tasks, e.g., uncategorized messages in an automatic email categorization system, unknown genes functions for doing gene function calculation, and so on. Labelled data is frequently restricted and expensive to produce, while labelling classically needs human proficiency. Consequently, semi-supervised learning has become a topic of significant recent interest. This research work proposed a new semi-supervised grouping, where the performance of unsupervised clustering algorithms is enhanced with restricted numbers of supervision in labels form on constraints or data. The previous system designed a Clustering Guided Hybrid support vector machine based Sparse Structural Learning (CGHSSL) for feature selection. However, it does not produce a satisfactory accuracy results. In this research, proposed clustering-guided with Convolution Neural Network (CNN) based sparse structural learning clustering algorithm. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm is progressed for learning cluster labels of input samples having more accuracy guiding features election at same time. Concurrently, prediction of cluster labels is as well performed by CNN by means of using hidden structure which is shared by various characteristics. The parameters of CNN are then optimized maximizing Multi-objective Bee Colony (MBO) algorithm that can unravel feature correlations to render outcomes with additional consistency. Row-wise sparse designs are then balanced to yield design depicted to suit for feature selection. This semi supervised algorithm is utilized to choose important characteristics from Leukemia1 dataset additional resourcefully. Therefore dataset size is decreased significantly utilizing semi supervised algorithm prominently. As well proposed Semi Supervised Clustering-Guided Sparse Structural Learning (SSCGSSL) technique is utilized to increase the clustering performance in higher. The experimental results show that the proposed system achieves better performance compared with the existing system in terms of Accuracy, Entropy, Purity, Normalized Mutual Information (NMI) and F -measure.