Reviewerly/exHarmony huggingface dataset:
Mining Users Rely on E-Commerce

In recent years, photo-based social media has become one of the most common social media platforms. Understanding user preferences in user-generated images and making suggestions has become a major necessity due to the large number of images uploaded daily. Several types of hybrids have been suggested to improve the performance of the recommendations by combining different types of third-party information (e.g., image representation, interaction) with user object history. Previous research, however, has failed to incorporate complex factors that affect user preferences into the corresponding framework due to various image features created by users on social media. In addition, many of these hybrid models have used pre-defined weights to combine different types of data, resulting in less favorable performance. To this end, we present a consistent model for capturing public imagery in this paper. We define three key elements (i.e., upload history, social exposure, and proprietary information) that affect each user's preferences, where each item summarizes the content aspect from complex interactions between users and images, in addition to the basic matrix interest model matrix factorization proposal. After that, we create a consecutive natural attention network that demonstrates a consistent relationship between hidden user interests and known key elements (elements at each level and feature level). A sequential attention network will learn to pay attention to more or less content using embedding from higher learning models designed for each type of data. Finally, the availability of extensive tests on real-world information indicates that our proposed model is superior.
Learning Heuristics for the Maximum Clique Enumeration Problem Using Higher-Order Graph Structures

Recently, various NP-hard combinatorial optimization problems have been solved by learned heuristics using complex learning models. In particular, node classification in graphs has been a helpful method towards finding the decision boundary to distinguish nodes in an optimal set from the rest. In this work, we investigate the role of local graphlet counts surrounding a node as graph features in the node classification towards solving the maximum clique enumeration problem. Graphlets are small induced subgraphs, whose local and global frequencies have been important features in the analysis of networks. We use a learning framework to identify the nodes that belong to some maximum clique of the network. Consequently, this idea is used in a pruning process to reduce the runtime of the maximum clique enumeration problem. Besides the high accuracy of the results, the performance of this framework is shown to be scalable and robust. The method presented here is applicable to networks from all sizes and can be used in estimating the solution of other graph search problems with high complexity.
Comparative Analysis of 3-D Password Using Various Techniques

The sensational increment in PC use has offered ascend to numerous protection affairs. One noteworthy security concern is Authentication; the way toward approving who you are to whom you professed to be. Verification gives greater security to the system. Many existing validation plans like issue secret key, graphical secret key and so forth are out there, every one having its own disadvantages and impediments. This paper presents a substitution validation system, alluded to as 3D secret word that conquers the detriment of prior existing verification schemes. The 3D secret phrase is multifaceted and multi secret key confirmation strategies that involves the 3D virtual surroundings containing timeframe object situations. 3D virtual condition is the UI that resembles equivalent to the ongoing condition yet isn't in reality constant environment. Compared to various verification procedures 3D secret phrase is a great deal of cutting edge and secure, as it is anything but difficult to utilize and hard to break. The paper of ours furthermore centers around clarifying what's 3-Dimensional Password?, divising of 3D secret word, functionality of 3-Dimensional security key and some structural standards for planning 3D virtual condition.
Análisis FODA: plataformas educativas utilizadas por profesores de matemáticas en Barranquilla - Colombia

Taking into account the current technological progress and the use of computer tools as a means for the development of education in 2020, this research aimed to analyze the strengths, opportunities, weaknesses and threats of the most used educational platforms by mathematics teachers in Barranquilla - Colombia. It was conducted under a qualitative methodology using a structured interview as a data collection instrument, in which teachers of mathematics from various institutions in the city were asked to share their views about which platforms they use the most and also what benefits and difficulties they have in implementing them. The results point out that the use of educational platforms provides a more dynamic space for interaction, allows the student to perform autonomous work and sometimes eliminates the barrier of space and time, although all this is closely linked to some risks and disadvantages.
ENT 530 Social Media Portfolio / Nurul Fatin Farhanis Muhamad Zakir

Sky S.oul is a new company that offered a very special, unique, affordable and healthy foods for all range of ages and for all kind of people. We make someone who loves seafood enjoy the taste of it in a simple way without stressed about how to find it and how much time they need to sacrifice to prepare for it. This company sells Yong Tau Foo with a various choices of items and they will be served with 3 choices of base. Emphasis is placed on high - favourable products driven by preference of individuals. Sky S.oul competes in a highly fragmented and competitive market. It has carefully combined a variety of promotional strategies into a unique marketing mix to gain as many market share as possible. We mainly focused on social media users to promote its product especially Facebook. In the future, we plan to roll out and strengthen an e-commerce marketing campaign based on web content, search engine optimization that can sets Sky S.oul apart from it's competitors.
THE IMPORTANCE OF PRODUCTION PRACTICE IN THE FORMATION OF PROFESSIONAL SKILLS OF STUDENTS OF PEDAGOGICAL COLLEGES

The importance of industrial practice in the formation of professional skills of students of pedagogical colleges is reflected in the formation of a new modern economic thinking, fostering entrepreneurship, efficiency, increasing the competence of workers, equipping them with methods of economic and system analysis, and the ability to competently apply them in everyday practice.
VR Serious Games for Special Needs Education on Living Skills Training

There are many challenges in their learning journey for children with special needs. Prior research shows that Virtual Reality (VR) can be used as a teaching aid for children with special needs. With the aid of VR, it is possible to construct a virtual environment with various objects to replicate real-world trainings. Serious games assisted learning is getting popular in special needs education. The use of the serious games with VR can provide realistic rendering and interaction to players. Although it cannot entirely replace the physical intervention trainings, VR serious games provide complementary ways of training lessons at low cost and flexible times. In the research project, we work closely with special needs schools and special needs educators. A series of VR serious games have been developed to train children with special needs on the living skills.
Pricing Strategies of Public Cloud Computing Instances: A Game-Theoretic Model

Public cloud capacity providers offer various pricing models namely, on-demand capacity instances, reserved capacity instances, and a hybrid of these two pricing models. The buyer firms seeking cloud solutions not only source their requirements from the public cloud providers but also invest in some private in-house information technology (IT) infrastructure. In this paper, we find conditions for implementing each of the above pricing models by a public cloud provider given that the buyer firm will also invest in a private cloud. We develop a game-theoretic model to determine the cloud provider's pricing schemes and the conditions to offer different pricing models. We discuss various insights and important business implications for public cloud providers. For example, we find that if the available capacity at the public cloud provider's end is high, the prices in both the reserved capacity instances model and the on-demand instances model are low. Interestingly, and somewhat counter-intuitively, in the hybrid pricing model, we find that if the available capacity is high, the unit subscription price is low but the unit on-demand price is high. We also observe that when the cloud provider's capacity is low, it is optimal for the provider to implement a pure on-demand pricing model. Further, in the intermediate range of capacity, the public cloud provider should implement a hybrid pricing model. However, at a high range of capacity, the public cloud provider should prefer a pure reserved capacity instances model. In addition, we provide other interesting and useful insights for the public cloud capacity providers that may help them in formulating their pricing strategy.
A PRAGMATIC ANALYSIS OF DIRECTIVE UTTERENCE USED BY ENGLISH TEACHER AT MADRASAH ALIYAH PONDOK PESANTREN AL-KAMIL

This research was intended to describe types of speech acts performed by English lecturers in learning process at Madrasah Aliyah Pondok Pesantren Al-Kamil. This research was descriptive qualitative. The data of this research were the English utterances performed by English Teachers. The researcher obtained the data by means of observation technique. In observation technique the researcher used recording instruments, sound recorder, to record the classroom dialogues. Next, the researcher writes some data into note to as a additional data report The researcher analyzes the directive speech act in this research using Kreidler’s theory (1998). Based on the observation, the researcher found three types of directive speech act. They are command/order, request, Warning or prohibitation. In conclusion, the researcher found directives speech act from observation are 3 utterances are command/order (2,80%) , 2 utterances are requesting (1,87%), 1 utterance is warning (0,93%), and 101 utterances are unidentified (94,39%)
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning

This paper describes our system ECNU ICA 1 for SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.For this task, we utilize knowledge-enhanced Graph Attention Networks with a novel semantic space transformation strategy.It leverages heterogeneous knowledge to learn adequate evidences, and seeks for an effective semantic space of abstract concepts to better improve the ability of a machine in understanding abstract meanings of natural language.Experimental results show that our system achieves strong performance on this task in terms of both imperceptibility and nonspecificity.
Implementation of Quantum Teaching Models to Improve the Skill of Reading the Poetry of VIII Grade Students of SMP 1 Mesuji Oki

This classroom action research entitled Application of the Quantum Teaching Model to Improve Class VIII Poetry Reading Skills of SMP Negeri 1 Mesuji OKI involved 27 grade VIII students.This research was conducted for two cycles with a span of three weeks per cycle.Based on the results of the analysis of teacher observation data, it is known that the level of teacher competence in teaching is very good, namely, 3.88 in the first cycle and 4 in the second cycle.The percentage of students' observation scores also experienced a very significant increase, if in the first cycle it only touched 51.85%, but in the second cycle, it became 77.77%.The results of students' poetry reading scores also increased very well.In the first cycle, the percentage of success only reached 46.42% but increased to 100% in the second cycle.
Core knowledge objects in reasoning and language use for highly abstract inductive tasks

Author(s): Ecanow, Gabrielle; Wong, Catherine; Acquaviva, Sam; Pu, Yewen; Kryven, Marta; Tenenbaum, Josh | Abstract: Core knowledge concepts such as object behavior principles provide a rich inventory of primitives for thinking and learning in the natural world. However, it remains unexplored how these concepts are reused for problem-solving and communication in highly abstract domains. We analyze a large-scale natural language study drawing on the Abstraction and Reasoning Corpus (ARC), a set of highly abstract visual tasks where solvers construct outputs from input grids according to an inferred pattern. ARC explicitly incorporates core knowledge principles without any real-world objects. In the study, subjects solved and communicated the inferred patterns of ARC tasks via written explanations for other subjects attempting to solve tasks using only the explanations. We examine how subjects solve, communicate, and interpret these explanations, and we show that subjects use fundamentally abstract core knowledge properties–object cohesion and contact causality–to reason about, understand, and communicate the inference tasks with language.
A Deep Gaze into Social and Referential Interaction

Author(s): Somashekarappa, Vidya; Howes, Christine; Sayeed, Asad | Abstract: In this study, we explicitly code and study the social, referential, and pragmatic features of gaze in human-human spontaneous dyadic interaction, providing novel observations that can be executed in a machine in order to improve multimodal human-agent dialogue. Gaze is an important non-verbal social signal that contains attentional cues about where to look and provides information about others' intentions and future actions. In this work, various types of gaze behaviour are annotated in detail along with speech to explore the meaning of temporal patterns in gaze cues and their co-relations. Considering that 80% of the total stimuli perceived by the brain is visual, gaze behaviour is complex and challenging; hence, implementing human-human gaze cues to an avatar/robots could improve human-agent interaction and make it more natural.
COLLEGE STUDENT’S PROBLEMS IN WRITING PARAGRAPH ( A CASE STUDY AT FOURTH SEMESTER STUDENTS OF INFORMATICS MANAGEMENT OF AMIK MITRA GAMA)

The purpose of this study is to analyze problems faced by the college students of the Informatics Management study program at AMIK Mitra Gama in writing a paragraph. This study was descriptive qualitative research. The participants of this research were fourth-grade students of the Informatics Management study program attending the Applied English II course and registered on the 2018/2019 academic year, 31 students. Instrumentation of this research was student’s paragraph writing entitled “Computer in the Digital Age” in 100-150 words and interview. The result of this study found that the students had the organization of paragraph, grammatical and mechanics problems in writing a paragraph. The most typical difficulty was the organization of paragraph problems in writing concluding sentences (90,3%). Secondly, grammatical problem in using adjective (77,4%), article (64,5%), and verb (58,1%). Third, mechanics problem in punctuation (38,7%). Lastly, based on the interview, these problems arise from the students' used Google Translate more often in finishing their writing. They translated their paragraph in Bahasa Indonesia into English directly without paying attention to the aspects of writing a paragraph. It made them difficult in choosing the appropriate words. For the next study, it was suggested to further investigate another aspect of grammatical (preposition, transition word, and conjunctions) and mechanics of writing such as content and organization. It implies that writing skills should be included in course design to enhance student’s ability in writing.
LibGuides: LI855: Denver Seed Library Resource Guide: Home

This guide is intended for use by patrons of the Denver Public Library to understand how the seed library works and gather references for use at home.
ANALISIS AKTIVITAS BELAJAR SISWA DENGAN MENGGUNAKAN PEMBELAJARAN DIGITAL MODEL INSTRUCTIONAL GAMES UNTUK SD/MI

The learning process is pursued so that the learning environment can support effective and student-centered learning. This research uses descriptive qualitative research method. Qualitative methods are research whose results cannot be obtained through statistical procedures or other means of quantification (measurement). The data obtained are in the form of words, pictures, and not numbers. The type of qualitative descriptive research used is literature study. Literature study is research based on literature searches. The data in this study can be obtained through excavation and searching of books and scientific journal articles and other notes that can support problem solving in this study. The instructional game model is a learning game in the form of a game by looking at various aspects for the fulfillment of learning objectives. The research method used by researchers is Library Research which refers to various literature studies that are relevant to data collection through books, journals, and other relevant materials. For the instructional game model there are aspects that are described to be studied starting from learning games by involving the environment, guidance from the educators themselves so as to create interesting and fun learning. From the results of the analysis that the author has done, conclusions can be drawn from several articles that the author has analyzed first, namely about the effectiveness of the instructional game model in increasing student activity, it can be seen from the articles that the authors researched.
Research On Independent Emotion Recognition From Facial Expression

Emotions are essential to human communication. It is also helpful to understand the person's attitude and behavior. This study suggests a deeper learning approach to perceiving emotions from the face. We have selected two methods of convolution neural network (CNN) and Artificial neural network (ANN). We will work in all cases depending on the autonomy / dependence. We aim here to see the independent feelings of the subject well. Recent FER focuses on independent emotional recognition and has used the JAFFE dataset (Japanese women's expression) as a benchmark for benchmarking. We have chosen to use voting classifier as our benchmark algorithm and are trying to get better results than in the past. We say the best because it is not the limited data used by the previous paper while it is a combination of learning integration that works with multiple variables and predicts the outcome in terms of high class opportunities. We use the confusion matrix to test the performance of our model..
Lithostratigraphic Mapping Through Saprolitic Regolith Using Soil Geochemistry and High-Resolution Aeromagnetic Surveys.

&amp;lt;p&amp;gt;The Neoproterozoic Central African Copperbelt located in southern Democratic Republic of Congo (DRC) and the northwestern Zambia and contains 48% of the world&amp;amp;#8217;s cobalt reserves and significant resources of copper, zinc, nickel and gold. A good understanding of the geology is critical for successful mineral exploration. However, geological mapping is hindered by low topographic relief, limited outcrop, and a generally deep (10-100m) weathering profile developed since the Late Miocene.&amp;amp;#160; Multielement soil geochemistry provides a means for conducting geological mapping.&amp;amp;#160; &amp;amp;#160;Areas with outcrop or containing drill holes and/or trenches were utilized to relate known geological lithologies with soil geochemical results using major element and trace element ratios.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The lithostratigraphy within a study area along the DRC-Zambia border can be geochemically sub-divided into three units. Mixed carbonate and siliciclastic lithologies of the lower portion of the local stratigraphy are typically characterised by elevated V, Ti, and Nb. Mudstones and siltstones are dominated by elevated Al, Fe and Ba. The upper portion of the local stratigraphy is geochemically neutral with regards to trace elements.&amp;amp;#160; Lithological discrimination through analysis of soil geochemical data is limited in some areas by intense weathering. A A-CNK-FM diagram exhibits how complete weathering of carbonate rocks and carbonate-rich breccias (after evaporites) results in the somewhat counter intuitive outcome that residual soils above carbonate rocks are amongst the most aluminum rich in the study area with &amp;gt;80% Al&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; (mol%) or &amp;gt;80% combined Al&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; (mol%) and FeO + MgO (mol%). The weathering of siliciclastic rocks (siltstones, mudstones, and diamictites) result in a shorter weathering path across a A-CNK-FM diagram, probably due to their higher original proportion of resistate phases.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;An area specific geochemical database of baseline lithostratigraphy weathering paths allows the identification of atypical geochemistry which could indicate facies change, alteration or mineralization.&amp;lt;/p&amp;gt;
3D-printing techno-network to help students overcome mathematical learning difficulties

Three-dimensional (3D) printing is a new manufacturing technology that has many applications related to social, economic, and environmental activities. In this study, we introduce the concept of a 3D printing techno-network, which is a network of humans and the resources they use to engage in a 3D printing procedure. We claim that this network could both influence and improve educational activities to help students with Mathematics Learning Difficulties (MLD) better understand mathematics. The paper proposes an educational scenario of teaching mathematical algorithms using this innovative technology. Mathematical understanding learning outcomes and the adoption of technological achievements are evaluated through a proposed framework consisting of 12 educational and technological indicators.
Comparison of Navigation Accuracy of Pedestrian Navigation for Several Aiding Algorithms

A database of simulated pedestrian trajectories and exact sensors readings is presented. The trajectories are based on the RuDaCoP database of experimental data. The experimental data was processed with ZUPT -aided navigation algorithms in the smoothing mode and then artifacts were removed from the solution with the help of certain additional information. Adding noise and changing sampling rate allows one to model different real situations. For example, analysis of attainable accuracy can be performed statistically. Different implementations of the extended Kalman filter were compared with the help of this database, some results are discussed in the paper.