Reviewerly/exHarmony huggingface dataset:
Deep Embedding For Product Review Sentiment Analysis

For prospective consumers, customer feedback are crucial to help them make the good choices. Finally, some web usage retrieval techniques were proposed in which one of the principal problems is determining the direction of the evaluation clause (e.g. normal or deviant). In recent years, profound learning has been an effective way to address interpersonal issues. A neural network discovers a valuable image without human intervention implicitly. Even then, the efficiency of profound learning is highly conditional on the provision of broad information. We propose a novel profound learning method for classifying perceptions of product assessment with the most frequently available scores as inadequate tracking indicators. The scheme includes of dual stages (1) understanding the top level rating of phrases and (2) applying a scoring layer just above integrated level and using clearly labeled phrases for controlled tweaking. Two kinds of contemporary network approach, namely convergent extractors and long-term memory, are explored. We would build a repository with the 2.2M poorly marked feedback phrases and 22,682 Amazon-labeled feedback remarks to validate the propounded framework. The efficiency and supremacy of the propounded scheme over measurements is shown by observational data.
Professional adaptation of pedagogical university students: theoretical and practical aspects

One of the purposes of this study is to disclose the theoretical foundations of professional adaptation of students to teaching and its links with teachers’ professional competence. The content and structure of professional adaptation are examined in the article, including components of adaptation, adaptive skills and qualities. Another purpose is to analyze the data of students’ and teachers’ survey regarding their attitudes to adaptation and its role in professional development.
Features of project-oriented and game-based student learning using the modeling environment SketchUp

We discuss the principles of project work of students in a higher educational institution. Examples of teaching students in information specialties are given on the example of the basics of programming and design in the system of higher education in Europe and North America. Roles of distance and traditional education and the choice of individual trajectories in this learning are shown. Particular attention is paid to the description of the game team forms of learning when working in environments of three-dimensional modeling and prototyping. The different roles of the teacher at each stage in all game projects for the construction of complex design details are described. We show examples of the developed design work at the Derzhavin Tambov State University when working with 3D graphics and reducing it to three-dimensional printing, as well as embedding the results of work in sites and blogs and other Web 2.0 resources. The key stages of the team games are presented, including the selection of the team captain using the R. Belbin psychological role test and the professional qualities of students. Such work can be successfully scaled up to all areas of university preparation, as well as to profile areas for students of secondary specialized institutions. It is concluded that the knowledge of three-dimensional modeling and prototyping is consolidated in the course of the final game team work on the construction of a complex structure or a series of architectural structures
PETROGRAPHIC AND PROVENANCE STUDIES OF HEAVY MINERALS IN SANDSTONES FROM IFELODUN, NIGERIA

Petrographic and provenance studies of heavy minerals in Ifelodun sediment were carried out. Sediment samples from eight locations were obtained from the study area; sieved to allow only sand-size lithology. The result was achieved after subjecting this sieved lithology obtained to analyses using a binocular (transmitted and reflected light) microscope. Minerals were separated in a funnel using bromoform with a specific gravity of about 2.89 (gravity method). The heavy minerals present in lithologic sand units are mainly staurolite, tourmaline, zircon and other opaque minerals including cassiterite. The most dominant non-opaque mineral is staurolite with 27.5% of the total minerals counted in the area. Staurolite is very appreciable in locations AR1 with 60% presence (which is 80% of the non-opaque minerals), AR3, AR5, AR7 and OL15b (each with 30%). OL15b also recorded a better amount of tourmaline (20%); Zircon is better in OL6b with 20% of the heavy minerals available in this location. The source rock predicted is porphyroblastic schists.
Information Security Assurance and the Role of Security Configuration Management: Substantive and Symbolic Perspectives

This paper explores whether IT and audit professionals have different perceptions of the substantive and symbolic perspectives of information security assurance and the role of security configuration management (SCM) using a mixture of qualitative and quantitative approaches. Importance performance analysis (IPA) is utilized to identify differences in perceived importance and perceived controllability from both substantive and symbolic perspectives between these two professional groups. Our results suggest that SCM plays a vital role in maintaining consistency between the IT and audit professionals by enhancing their confidence in controlling and managing information security control sets. IPA also helps determine an information security program's strengths and weaknesses and supports remedial strategic actions more efficiently. Implications for both research and practice are discussed.
Integrated Security and Privacy Framework for Big Data in Hadoop MapReduce Framework

Public cloud infrastructure is widely used by enterprises to store and process big data. Cloud and its distributed computing phenomena not only provides scalable, available and affordable solution for storage and compute services but also raises security concerns. Many security solutions that came into existence encrypt data and allow accessing plaintext for data analytics in the confines of secure hardware. However, the fact remains that the large volumes of data is processed in distributed environment involving hundreds of commodity machines. There exist numerous communications between machines in MapReduce computing model. In the process, compromised MapReduce machines or functions are vulnerable to query based inference attacks on big data that lead to leakage of sensitive information. The main focus of this paper is to overcome the problem aforementioned. Towards this end, a methodology is proposed with an underlying algorithm for defeating query based inference attacks on big data in Hadoop. The proposed algorithm is known as Multi-Model Defence Against Query Based Inference Attacks (MMD-QBIA). A realistic attack model is considered for validating the effectiveness of the proposed methodology. Then an integrated framework for security and privacy to big data is evaluated. Cloudera Distribution Hadoop (CDH) is the environment used for empirical study. The experimental results revealed that the proposed solution prevents different kinds of query based inference attacks on big data besides security to big data in Hadoop MapReduce framework.&#x0D;
LANGUAGE ANIMATION AS A MEANS TO FORM FOREIGN LANGUAGE COMMUNICATIVE COMPETENCE AMONG MASTER’S STUDENTS

Statement of the problem. The article deals with the process of forming a foreign language communicative competence among master’s students through the use of the method of language animation in the educational process, designed to ensure compliance with the requirements of modern higher education for practice-oriented preparation for future professional activities within the educational organization. The need for communicative-game animation programs that prepare students for professional activities, according to the research, is only partially provided by their implementation in practice. The purpose of the article is to present the authors’ recommendations on the use of the method of language animation in the process of forming a foreign language communicative competence at the master’s level. The methodology consists in the analysis of the research results of the use of the method of language animation in process of formation of foreign language communicative competence. Research results. The authors’ recommendations on the use of the method of language animation have been developed, including a block of tasks for the development of group dynamics, aimed at overcoming the language barrier, tested in practice. Conclusion. The results of the approbation of the recommendations indicate that the use of the method of language animation allows us to solve the main problem associated with the implementation of the process of formation and development of foreign language communicative competence: removing the language barrier during the interaction of participants in foreign language communication.
Augmented Reality Book for Preserving Malay Traditional Dances: A Case Study

Malaysia is known throughout the world for its multiculturalism. As a multiple ethnic country, many countries are looking on Malaysia as a great example of peaceful co-existence races and belief where all the ethnic groups in Malaysia live together in harmony and enrich the country's cultural lifestyle. Within that, Malaysia also consists of a collective blend of food, traditions, clothing and customs. Towards that, traditional dance is the treasure of art and culture. Therefore, with modern era and technology nowadays, it has led the younger generation care less about traditional dance. Beside, a printed media such as bunting, banners and pamphlets are less effective in promoting the traditional dance. By concerning this, this research study aims to preserving the traditional dance among young generation towards new media technology. In explaining the issues, a case study through quantitative approaches of questionnaires survey and interviews was used in studied the uniqueness of traditional Malay dance and further proposes a new approach for preserving the traditional Malay dance awareness among the young generation. The research significantly impacts the publics particularly on the new generation towards uniqueness of traditional dance in Malaysia. It is also contributes to the National Heritage Department and the National Arts and Culture Department where the documentation could be used as a collection of cultural and heritage books in the form of new media technology for young generation.
Immediacy and Hypermediacy: mind the oscillation

This paper considers that web design comprehends the notion of transparency (immediacy) as a mean to support user immersion. But it also comprehends the notion of opaque (hypermediacy) as a mean to support interactivity. Therefore, the user oscillates between being immersed on the content and interacting with the interface, and this oscillation might disrupt the making sense process. We argue that the creative oscillation between immediacy and hypermediacy can enhance reality and thus support meaningful web experience. To this end, this paper investigates the role of agency to sustain oscillation between immediacy and hypermediacy in a website. Thus, this paper starts reviewing some of the works that instantiate narrative in design and those that focus on the agency that is experienced when interacting with a computer. Thus, agency is used as an analytical lens to investigate how interface design was used to specific outcomes in retail context: a sense of aesthetic, service excellence, playfulness and consumer return on investment. In order to that, it is performed a close reading in two versions of two specific genres of websites to understand how remediation changed over time and its implication on agency. The first genre is service design, and the second is product design. The results suggest that those design that privilege narrative and cognitive interactivity intend to provoke a sense of aesthetic and service excellence. The results also suggest that those websites that privilege explicit interactivity intend to provoke a sense of playfulness and consumer return on investment. In addition, a creative oscillation between immediacy and hypermediacy enhance reality and support meaningful user experience. In addition, this paper identifies some of the signifiers that support different levels of agency. Finally, exploring the oscillation between immediacy (transparency) and hypermediation (reflectivity) creates meaning to the experience because it acknowledges the interface and the role it plays in presenting reality.
PROBING COMPOSITION VARIATIONS WITH DEPTH IN THE TILTED GANGDESE BATHOLITH, SOUTHERN TIBET

The Gangdese Batholith in southern Tibet represents the magmatic product of the subduction of the Tethyan plate during the Mesozoic-early Cenozoic and the India-Eurasia collision since ~55 Ma. The Gangdese crust (90-94.5E) is an eastward tilted crustal section in which supracrustal rocks are exposed in the west, and deeper mid-lower crustal rocks crop out in the east. Here, we combine published geochemical data with bedrock pressures to investigate how magmatic compositions of the batholith vary with depth. The bedrock pressures were obtained by spatial interpolation based on barometry-determined values. We divide the crust into an upper (0-4 kbar) and a mid-to-lower (4-8 kbar) section. During the continental arc phase (110-55 Ma), Kernel Density Estimation (KDE) of the bulk crust displays a weak bimodal distribution consisting of two peaks: the mid-lower crust reveals a peak at 54 wt.% SiO2, compared to a more silicic upper crust with a peak at 67 wt.% SiO2. During the India-Asia collision phase (55-0 Ma), the bulk crust is more silicic and shows a peak at ~66 wt.% SiO2, a trend driven by the more silicic upper crust that has a major peak at 67 wt.% SiO2 as well as some silicic lithologies in the mid-lower crust (peak at ~70 wt.% SiO2) that contribute to a bimodal distribution. Low silica composition makes up the other peak (~47 wt.% SiO2). Our results show that during the continental arc phase, the bulk crust SiO2 distribution resembles the one of the Central Andean continental arcs. The continental collision caused the increased production of evolved magmas in both upper and lower crusts. The bimodal magmatism in the mid-lower crust could be attributed to the break-off of the Tethyan slab and/or the delamination of the Asian mantle, which facilitated the upwelling of the asthenospheric mantle and the subsequent magmatism. Our study shows how subduction and collision can modify the composition of a continental crust. We will compare the Gangdese crust with other crustal sections to better understand the compositional variations in different magmatic orogens.
Symmetries in directed Gaussian graphical models

We define Gaussian graphical models on directed acyclic graphs with coloured vertices and edges, calling them RDAG (restricted directed acyclic graph) models. If two vertices or edges have the same colour, their parameters in the model must be the same. We present an algorithm to find the maximum likelihood estimate (MLE) in an RDAG model, and characterise when the MLE exists, via linear independence conditions. We relate properties of a graph, and its colouring, to the number of samples needed for the MLE to exist and to be unique. We also characterise when an RDAG model is equal to an associated undirected graphical model and study connections to groups and invariant theory. We provide examples and simulations to study the benefits of RDAGs over uncoloured DAGs.
CS2M: Cloud Security and SLA Management

With the support of a vast amount of virtual storage, cloud computing (CC) delivers on-demand services over the Internet. The key characteristics of cloud computing are that no costly computing infrastructure is established by the customer and the cost of its services is lower. Cloud data protection is important to make sure that your data is secure. So the cloud service provider must be aware of the latest malware cases that allegedly occurred in the Cloud ecosystem. This paper addressed the fundamental characteristics of cloud computing, security challenges, threats, and their solutions. The study also highlights many key cloud-related subjects, namely the structure for cloud infrastructure, operation, cloud security principles, threats, and attacks. The techniques that we have used here are SLA management using RALLY for open stack private Cloud and the malware analysis has been identified using open source virus total repository. The results identified during the experiments reflect that our proposed scheme, “CS2M: Cloud Security and SLA management” performs faster as compared to the conventional techniques. Keywords: Cloud Computing, Security, Protection, SLA Management, Malware detection
User Identification on Smartphone through Authentication Using Keystroke Dynamics

Currently Smartphone has become primary necessity for populace. Everyone managetheir personal and confidential data on mobiles. However it is essential to increase the security of the smartphone.Authentication is a process or action to verify the identity of a user or process and it prohibitsthe unauthorised access from intruders. Password is the universal key component of authentication that is easy to crack as everyone can remember the password. Therefore it is required to use advance mechanism to enhance the security.Keystroke dynamics is a secure and authenticbehavioural biometricbased technique based on typing behaviour of any individual. This technique identifies the identity of the userthroughtheir typing behaviour on keyboard. In this paper author comparing the features and methods of keystroke dynamics to find the best accuracy result mention in Table 2 of section 2 and comparing the different positions of using smartphone to get the best EER as well in Table 3of section 5.
Effective and Practical Neural Ranking

Supervised machine learning methods that use neural networks (deep learning) have yielded substantial improvements to a multitude of Natural Language Processing (NLP) tasks in the past decade. Improvements to Information Retrieval (IR) tasks, such as ad-hoc search, lagged behind those in similar NLP tasks, despite considerable community efforts. Although there are several contributing factors, I argue in this dissertation that early attempts were not more successful because they did not properly consider the unique characteristics of IR tasks when designing and training ranking models. I first demonstrate this by showing how large-scale datasets containing weak relevance labels can successfully replace training on in-domain collections. This technique improves the variety of queries encountered when training and helps mitigate concerns of over-fitting particular test collections. I then show that dataset statistics available in specific IR tasks can be easily incorporated into neural ranking models alongside the textual features, resulting in more effective ranking models. I also demonstrate that contextualized representations, particularly those from transformer-based language models, considerably improve neural ad-hoc ranking performance. I find that this approach is neither limited to the task of ad-hoc ranking (as demonstrated by ranking clinical reports) nor English content (as shown by training effective cross-lingual neural rankers). These efforts demonstrate that neural approaches can be effective for ranking tasks. However, I observe that these techniques are impractical due to their high query-time computational costs. To overcome this, I study approaches for offloading computational cost to index-time, substantially reducing query-time latency. These techniques make neural methods practical for ranking tasks. Finally, I take a deep dive into better understanding the linguistic biases of the methods I propose compared to contemporary and traditional approaches. The findings from this analysis highlight potential pitfalls of recent methods and provide a way to measure progress in this area going forward.
Applying Blockchain as a Boost for Logistics: A Case of Vietnam

In the wave of industrial revolution 4.0, Blockchain is considered a technology for digital transformation and building the future information technology platform. With the ability to share real-time transparent data information, save storage space and high security, blockchain technology is one of the breakthrough technology trends, capable of wide application in many professions and fields. Blockchain is a new technology that has been mentioned a lot in recent times. If voted for today's most outstanding new technology, then blockchain and its application in many fields will certainly be. In addition, as a core in the Internet of Things (IoT), the influence and development of blockchain will go even further in the era of the 4.0 revolution. In the blockchain's influence, the blockchain is a key driver of the growth of this sector. The objective of the paper is to introduce an overview of the blockchain as well as its impact on logistics and the proposed solutions to enhance the role of blockchain in logistics of Vietnam. This paper finds out some great roles and it is necessary to apply it in our work.
Pelaksanaan Pembelajaran Daring di masa COVID-19 di SMP Negeri 3 Marioriwawo

This study aims to describe 1) How is the process of implementing online learning 2) the advantages and disadvantages of online learning during the implementation of online learning 3) Obstacles to the implementation of online learning during the COVID-19 period in Indonesian language subjects. The data analysis technique used was descriptive-analytical technique. The results of the study indicate that the implementation of online learning is a process of implementing learning that students are required to study alone in their respective homes. The disadvantages and advantages of online learning are that it is easy because teachers can give assignments and students send assignments more easily because they are sent via WhatsApp, the drawback is the lack of student activity in participating in teaching and learning activities. The obstacle is the ineffectiveness of learning due to lack of supervision from parents and students experiencing boredom during the online learning process.
Gesture Recognition using a sensor fusion of Quaternions and Image Processing

The vital objective of this work is to bridge the gap between the physical world and the digital world using an efficient fusion of the image sensors. A low cost Inertial Measurement Unit (IMU) to form a gesture based remote controller which can be interacted with any electronic display devices. In contrast to the conventional approach of predefined robotic gesture recognition, our method is more efficient in detecting and recognizing more natural human gestures. With reference to the previous works being carried out in the similar field, approaches such as either image based or motion sensor based techniques have been used for the same. Our research primarily focuses on the convoluted sensor fusion which bridges the gap of effort less interaction between digital world and the real world through simple gestures. The proposed approach can identify more natural gestures with less software complexity and hence is more fast and accurate.