Reviewerly/exHarmony huggingface dataset:
Cooperation as a Form of Interaction in Modern Educational Society

The purpose of this article is to identify the features and philosophical sense of the concept of “cooperation,” to find areas of modern society that are built on the principles of cooperation. Also, the purpose of the article is to reveal the relevance of these principles for the development of innovative processes in various fields, primarily in education. First of all, cooperativeness is a Russian phenomenon dating back to the ancient forms of human dormitory (community, artel). It manifests itself in various forms of bringing together like-minded people engaged in a single noble cause. There are many organizations and associations today. However, not all of them are based on cooperative principles. Market, competition, leisure, and more are not grounds for cooperative communities. Here, the phenomenon of “corporatism,” which is of the Western European origin, is manifested to a greater extent. And voluntariness, collectivism, the priority of the spiritual principle over the material and other features laid down in the Russian mentality can serve as the foundation for the formation of cooperative unions. Among the organizations of a creative orientation, we can identify the following associations: a university scientific community of the university, a student union, a creative team, and a scientific and educational creative laboratory.
A New Training Model for Object Detection in Aerial Images

This paper presents a new training model for orientation invariant object detection in aerial images by extending a deep learning based RetinaNet which is a single-stage detector based on feature pyramid networks and focal loss for dense object detection. Unlike R3Det which applies feature refinement to handle rotating objects, we proposed further improvement to cope with the densely arranged and class imbalance problems in aerial imaging, on three aspects: 1) All training images are traversed in each iteration instead of only one image in each iteration in order to cover all possibilities; 2) The learning rate is reduced if losses are not reduced; and 3) The learning rate is reduced if losses are not changed. The proposed method was calibrated and validated by comprehensive for performance evaluation and benchmarking. The experiment results demonstrate the significant improvement in comparison with R3Dec approach on the same data set. In addition to the well-known public data set DOTA for benchmarking, a new data set is also established by considering the balance between the training set and testing set. The map of losses which dropped down smoothly without jitter and overfitting also illustrates the advantages of the proposed newmodel.
ELICITATION TECHNIQUES USED BY A PRE-SERVICE TEACHER IN EFL CLASSROOM

English as a foreign language only practiced in particular occasions and one of them is in classroom. It means classroom is a place where EFL learners mainly improve their English abilities. However, EFL learners tend to be passive learners because they are afraid of making mistakes and getting negative feedback from teacher. It leads EFL classroom has less interaction which affect EFL learners’ achievement. In order to enhance classroom interaction, teacher could use kinds of elicitation techniques. This study aims to find kinds of elicitation techniques used by a pre-service teacher in EFL classroom by using categorization from Long and Sato (1983) and Richards and Lockhart (1996). Besides, it is also to find its dominant kind. This study used qualitative research method and the data were gathered form transcript of a teaching video. Other than that, the data were analyzed qualitatively. The result showed that based on Long and Sato's (1983) categorization, 62 display questions (80.52 %) and 15 referential questions (19.48 %) found in EFL classroom. In addition, based on Richards and Lockhart’s (1996) categorization, 15 procedural questions (19.48 %), 55 convergent questions (71.43 %), and 7 divergent questions (9.09 %) found in EFL classroom. Furthermore, based on the nature of interaction, the dominant kind of elicitation technique was display question (80.52 %) while based on its purpose; convergent question (71.43 %) dominantly used by a pre-service teacher in EFL classroom. Key words: Elicitation techniques, Pre-service teacher, EFL learners, EFL classroom.
The capacitated MAX k-CUT on a Quantum Computer

The weighted MAX k-CUT problem consists of finding a k-partition of a given weighted undirected graph G(V,E) such that the sum of the weights of the crossing edges is maximized. The problem is of particular interest as it has a multitude of practical applications. We present a formulation of the weighted MAX k-CUT suitable for running the quantum approximate optimization algorithm (QAOA) on noisy intermediate scale quantum (NISQ)-devices to get approximate solutions. The new formulation uses a binary encoding that requires only |V|log_2(k) qubits. The contributions of this paper are as follows: i) A novel decomposition of the phase separation operator based on the binary encoding into basis gates is provided for the MAX k-CUT problem for k >2. ii) Numerical simulations on a suite of test cases comparing different encodings are performed. iii) An analysis of the resources (number of qubits, CX gates) of the different encodings is presented. iv) Formulations and simulations are extended to the case of weighted graphs. For small k and with further improvements when k is not a power of two, our algorithm is a possible candidate to show quantum advantage on NISQ devices.
Predicting visible flicker in temporally changing images

Novel display algorithms such as low-persistence displays, black frame insertion, and temporal resolution multiplexing introduce temporal change into images at 40-180 Hz, on the boundary of the temporal integration of the visual system. This can lead to flicker, a highly-objectionable artifact known to induce viewer discomfort. The critical flicker frequency (CFF) alone does not model this phenomenon well, as flicker sensitivity varies with contrast, and spatial frequency; a content-aware model is required. In this paper, we introduce a visual model for predicting flicker visibility in temporally changing images. The model performs a multi-scale analysis on the difference between consecutive frames, normalizing values with the spatio-temporal contrast sensitivity function as approximated by the pyramid of visibility. The output of the model is a 2D detection probability map. We ran a subjective flicker marking experiment to fit the model parameters, then analyze the difference between two display algorithms, black frame insertion and temporal resolution multiplexing, to demonstrate the application of our model.
Exploiting Behavioral Side Channels in Observation Resilient Cognitive Authentication Schemes

Observation Resilient Authentication Schemes (ORAS) are a class of shared secret challenge–response identification schemes where a user mentally computes the response via a cognitive function to authenticate herself such that eavesdroppers cannot readily extract the secret. Security evaluation of ORAS generally involves quantifying information leaked via observed challenge–response pairs. However, little work has evaluated information leaked via human behavior while interacting with these schemes. A common way to achieve observation resilience is by including a modulus operation in the cognitive function. This minimizes the information leaked about the secret due to the many-to-one map from the set of possible secrets to a given response. In this work, we show that user behavior can be used as a side channel to obtain the secret in such ORAS. Specifically, the user’s eye-movement patterns and associated timing information can deduce whether a modulus operation was performed (a fundamental design element) to leak information about the secret. We further show that the secret can still be retrieved if the deduction is erroneous, a more likely case in practice. We treat the vulnerability analytically and propose a generic attack algorithm that iteratively obtains the secret despite the “faulty” modulus information. We demonstrate the attack on five ORAS and show that the secret can be retrieved with considerably less challenge–response pairs than non-side-channel attacks (e.g., algebraic/statistical attacks). In particular, our attack is applicable on Mod10, a one-time-pad-based scheme, for which no non-side-channel attack exists. We field test our attack with a small-scale eye-tracking user study.
Full Tooth Contour Recognition and Model Reconstruction Method Based on CT Images

It is of great significance for the treatment of oral diseases to establish a digital 3d model of teeth based on oral CT images. In order to establish a 3d digital model of teeth by using oral CT images, the contour segmentation, coordinate transformation and surface model reconstruction of oral CT images are required. The structure tensor information can reflect the local structure information of the image by using the multi-channel information, and many models constructed by using the local tensor information have the de-noising effect. Therefore, the area term fused with structural tensor information was added to the (Local Gaussian Distribution Fitting) LGDF model to segment the contour of a single tooth. The segmentation results show that the improved model can be segmented into ideal contours without Interference noise area and false boundary. After the segmentation of all the contours was completed, all the contours were converted from two-dimensional CT coordinates to three-dimensional coordinate forms, and the surface model was obtained by surface reconstruction of three-dimensional scattered point cloud using Crust algorithm. The surface model construction method proposed in this paper has better surface quality.
Optimized Design on Hydrant under Surface Irrigation Systems تصمیم معدّل لمحبس تحت نظام الرى السطحى

The research aimed to modify the traditional hydrant to suit connect with the newly irrigation systems. Through evaluate the performance of the traditional "HT" and modified "HD" hydrants of the surface irrigation system applied in clay soil at KafrAldoar- El-Beheira Governorate. In summer season 2019 by cultivated the corn variety of S.C 2031. Then, the results concluded that the "HD" is shallow less than the "HT" in Zf and Es but great reduction in cv and α. While it is little increase in pd, UC, DU and Ea. The "HD" can saved advance and recession time about39.02 and 29.46%, respectively, compared with "HT" in 80 m furrow length. As it was observed, the water depth reached the recommended depth for corn plants in both hydrants for most of the length of the line, but the depth when using the modified hydrant was slightly less than the traditional hydrant. The yield and WUS increased by using "HD" about 9.07 and 28.61 % than the "HT". But it decreases the water applied about 15.16 %.The recommendation on this research is the modified hydrant can safe to use and can be generalized in the irrigation net under the surface and newly irrigation systems.
El empleo de las TIC’s en educación primaria y las competencias docents

Current education is having pedagogical changes, the use of ICTs in the daily life of society has developed new demands for teachers, which requires knowing their students, as well as their interests and the practices they develop. On the other hand, the learning strategies applied by teachers are not the same, since the demands of new learning environments require the acquisition of teaching competencies, ICTs are already immersed in primary schools, although not in their Total position to carry it out, requires economic and pedagogical administrative investments among others. Goals: Identify the impact of the implementation of ICTs in primary education to favor the skills of students. Methodology: In the present investigation the methodology used was mixed, exploratory where the use of ICTs is contrasted with the impact developed in the competences. Contribution: The generational adjustment must occur both in the classroom with both the students and the teachers, since more training is required in accordance with the social, technological dynamics and with the respective adjustments of the public education policies, generating a change in the use that is given to ICT and its use.
Young Scientist Pioneer 2019: Evaluation of the Effectiveness of the Modules Prepared for SMK Wira Penrissen, Sarawak

Science, technology, engineering and math (STEM) is a new subject module to prepare the students with high skill demanded by the industry based on Malaysian Education Blueprint 2013-2025.The purpose of this study is to review and analyses the effectiveness of the modules designed for secondary schools.The program took part in SMK Wira Pensrissen, Kota Samarahan, Sarawak and involving 100 selected Form One students.The modules touched several subjects in secondary schools and aimed to gain the interest of students to learn STEM.The modules have been presented and taught in a fun way by students from multiple backgrounds of study from Universiti Teknologi Malaysia (UTM).The school students experienced the survey data before the program and after the program.The results show that student satisfaction was increasing gradually for bestmanaged modules indicating that proactive implementation of appropriate responses to student feedback on their learning journey is effective in improving both student satisfaction and learning.
LET’S DEWEY IT : Motiveringar för och bemötande av motstånd vid Deweyövergång

Objectives:The aim of this studies have been to understand and find out how the libraries in the Umea regioncooperationmotivated theirtransition to the dewey decimal classification system(DDC) and ...
Semantics of a Relational {\lambda}-Calculus

We extend the \(\lambda \)-calculus with constructs suitable for relational and functional–logic programming: non-deterministic choice, fresh variable introduction, and unification of expressions. In order to be able to unify \(\lambda \)-expressions and still obtain a confluent theory, we depart from related approaches, such as \(\lambda \)Prolog, in that we do not attempt to solve higher-order unification. Instead, abstractions are decorated with a location, which intuitively may be understood as its memory address, and we impose a simple coherence invariant: abstractions in the same location must be equal. This allows us to formulate a confluent small-step operational semantics which only performs first-order unification and does not require strong evaluation (below lambdas). We study a simply typed version of the system. Moreover, a denotational semantics for the calculus is proposed and reduction is shown to be sound with respect to the denotational semantics.
Learning and Growing

Congratulations: You've finished your training, landed your first software job, and started your journey as a professional. Your growth, though, is just getting started. Some engineers carry around a specific dream, like solving a problem they loathe or helping a community they love. Absent that, or assuming good work at a software company is part of your vision, I'll offer you a placeholder goal: to solve the biggest problems your abilities allow, constantly challenging yourself and nurturing your technical and people skills. While other chapters discuss many of those skills in detail, this chapter will focus on the trajectory per se, including self-study and mentorship, while also discussing how companies evaluate performance.
AUGMENTED REALITY BASED LEARNING MEDIA IN FOTOSYNTHESIS MATERIAL

This article contains the results of the design of learning media development based on Augmented Reality (AR) by bringing up virtual objects that use pointer markers. The purpose of this study is to obtain a design of learning media application on material of Photosynthesis based on Augmented Reality. Test this media using a usability measurement tool to measure success and obtain input from users. The results obtained from the design of learning media applications on photosynthetic material based on Augmented Reality are making it easy for users to use real interactions with the percentage of usability obtained by 91.25% and positive responses in the form of user input to interaction techniques in the Augmented Reality media so that input can used to improve the next  media development. Keywords: Augmented Reality 1, photosynthesis 2, usability 3
Visual-Semantic Embedding Model Informed by Structured Knowledge

We propose a novel approach to improve a visual-semantic embedding model by incorporating concept representations captured from an external structured knowledge base. We investigate its performance on image classification under both standard and zero-shot settings. We propose two novel evaluation frameworks to analyse classification errors with respect to the class hierarchy indicated by the knowledge base. The approach is tested using the ILSVRC 2012 image dataset and a WordNet knowledge base. With respect to both standard and zero-shot image classification, our approach shows superior performance compared with the original approach, which uses word embeddings.
Edge or Cloud: What to Choose?

Machine learning (ML) models need to be trained on large volumes of data. Traditionally, client applications collect data and transfer it to cloud servers to train machine learning models, with the results returned to the clients. There is a lack of actionable information how these two kinds of learning differ in terms of performance and resource utilization. This chapter addresses this problem; a comprehensive empirical evaluation of these two types of learning is conducted for a widely used clustering learning algorithm. It focuses on detailed analysis of the application in both cloud-based and edge-based setup. The chapter conducts an analysis on the implementation of K-Means clustering technique over both Edge-based learning and Cloud-based learning to decipher some key findings for the resource utilization for both approaches. It guides ML designers in selecting a system which best suit their needs.
COVID-19 Contact Tracing: Eight Privacy Questions Explored A Reply to de Montjoye et al.

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Segmentation of lesions in MRI images using Thresholding

Medical images are captured using medical imaging modalities such as Magnetic ResonanceImaging(MRI), Computed Tomography (CT), Positron Emission Tomography (PET), Ultrasound etc.Automated Medical image analysis is the process of analyzing images in order to find the characteristics ofit which in turn help medical practioners to identify the diseases present in it. Thresholding is one of theanalyzing methods of medical images to identify and analyzelesions present in it,in this paper, the variousthresholding methods and results of it are discussed. The experimental analysis is performed on the real timeMRI image of size 700x680. As a result, optimized entropy based thresholdingmethod produces the betterresult when compared to other thresholding methods.
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion.

Knowledge graph completion is an important task that aims to predict the missing relational link between entities. Knowledge graph embedding methods perform this task by representing entities and relations as embedding vectors and modeling their interactions to compute the matching score of each triple. Previous work has usually treated each embedding as a whole and has modeled the interactions between these whole embeddings, potentially making the model excessively expensive or requiring specially designed interaction mechanisms. In this work, we propose the multi-partition embedding interaction (MEI) model with block term format to systematically address this problem. MEI divides each embedding into a multi-partition vector to efficiently restrict the interactions. Each local interaction is modeled with the Tucker tensor format and the full interaction is modeled with the block term tensor format, enabling MEI to control the trade-off between expressiveness and computational cost, learn the interaction mechanisms from data automatically, and achieve state-of-the-art performance on the link prediction task. In addition, we theoretically study the parameter efficiency problem and derive a simple empirically verified criterion for optimal parameter trade-off. We also apply the framework of MEI to provide a new generalized explanation for several specially designed interaction mechanisms in previous models.
LibGuides: LibrarySkills@UCL: Referencing and managing information: Getting Started

A guide to skills and support for referencing and managing information sources and research data. Searching and inquiry landing page
Investigation of Stickiness in Voice Prosthesis Model

A voice prosthesis is a medical device that helps people who have undergone a total laryngectomy to speak again. It is placed in the wall that separates the trachea and esophagus and consists of a valve that opens when speaking. Atos Medical is one of the few companies that manufactures voice prostheses. One of their voice prosthesis models is called Provox ActiValve. A problem with this model is that the valve flap is prone to sticking to the valve seat in situ, which makes it difficult for the user to speak.The aim of this thesis was to investigate the problem of stickiness in ActiValve and to propose and investigate several hypotheses to the problem. The goal was also to develop a test method that measures the degree of stickiness, in vitro. Through a pre-study, the focus of the thesis was determined to be on surface properties and PVDF, the material of the valve flap in ActiValve. Contact angle and surface energy measurements were conducted to explore the surface properties of PVDF, before and after different surface treatments: sodium etching, plasma treatment and polymer coating. A test method for measuring stickiness was developed and was used in the work to compare untreated to sodium etched PVDF.In conclusion, the test results indicate that the surface properties of the valve flap and valve seat influence the degree of stickiness. Untreated and polymer coated PVDF showed less wettability than plasma treated and sodium etched PVDF, which indicates a reduced risk for stickiness. To prove these results, further testing is needed. It was concluded that the developed test method is too unreliable for any solid conclusions to be drawn. It needs to be ameliorated in order for the reproducibility to be increased.