Reviewerly/exHarmony huggingface dataset:
The Study on Possibility of Structuring the Learning Contents of the Critique Process about &lt;Beomgeum-Paljo&gt;

This article aims to discuss the possibility of structuring the Code of Eight Prohibitions of Gojoseon(Beomgeum-Paljo) as a learning content focusing on the process of critique of historical materials, and to present a case in which students can experience critical thinking and reading. History classes using historical materials have gained a lot of attention, and since the 7th Curriculum, Beomgeum-Paljo has been used as a material for inquiry activities. However, despite the discussion that there is a need to enhance students’ critical thinking ability through learning with historical materials, what is required through the historical learning with Beomgeum-Paljo is still only at the level of acquiring the contents that have been described in textbooks.BR Considering the necessity of presenting an inquiry task that induces thinking by reading historical materials so that students can practice reading historical materials critically, Beomgeum-Paljo also needs to be used for students to experience critical reading. In particular, Beomgeum-Paljo provides an opportunity for students to capture the characteristic of history that past record does not correspond directly to the past realities.
The “Sails of the «Espada»” Trilogy by V. P. Krapivin: Conflict and the System of Characters in the Axiological Aspect

The paper examines the invariant “plot-forming” conflict that links V. P. Krapivin’s novels “The Boy with a Sword”, “The Bronze Boy” and “The Red Banner of Stubbornness” in the context of value oppositions that define the structure of the system of characters. Scientific originality of the paper lies in taking a methodological approach to the subject of the research: specificity of the conflict is analysed in the aspect of artistic axiology. The study aims to comprehend the author’s axiological intentions defining the system of characters that is invariant for the novels of the “Sails of the «Espada»” trilogy. As a result of the study, the researcher has identified and characterised two modes of consciousness which define the mental value dominants of the main characters of the trilogy, “Krapivin’s boys”, representatives of convergent consciousness, and their regular antagonists, i.e. “bureaucratresses-teacheresses” and functionaries, adherents of the negative pole of authoritarian consciousness.
Study on Applications of Convolutional Neural Networks

As of now, profound learning is generally utilized in an expansive scope of fields. A convolutional brain organizations (CNN) is turning into the star of profound learning as it gives the best and most exact outcomes while breaking true issues. In this work, a short depiction of the utilizations of CNNs in two regions will be introduced: First, in PC vision, by and large, or at least, scene marking, face acknowledgment, activity acknowledgment, and picture arrangement; Second, in normal language handling, that is to say, the fields of discourse acknowledgment and text characterization.
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games

Text-based games provide an interactive way to study natural language processing.While deep reinforcement learning has shown effectiveness in developing the game playing agent, the low sample efficiency and the large action space remain to be the two major challenges that hinder the DRL from being applied in the real world.In this paper, we address the challenges by introducing world-perceiving modules, which automatically decompose tasks and prune actions by answering questions about the environment.We then propose a two-phase training framework to decouple language learning from reinforcement learning, which further improves the sample efficiency.The experimental results show that the proposed method significantly improves the performance and sample efficiency.Besides, it shows robustness against compound error and limited pre-training data.
Different Techniques of Sentimental Analysis using Deep Learning

World Wide Web like social media forums, review sites and blogs that generate a lot of data the type of users views, feelings, ideas and arguments about various social events, products, products, and politics.
Peer Review Statement

Abstract All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Conference submission management system: https://submission.isaic-conf.com/ • Number of submissions received: 458 • Number of submissions sent for review: 400 • Number of submissions accepted: 134 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received × 100): 29% • Average number of reviews per paper: 2 • Total number of reviewers involved: Around 200 • Any additional info on review process: Ithenticate was used to check the plagiarism issue during the review process • Contact person for queries: Shiping Wen University of Technology Sydney, Australia shiping.wen@uts.edu.au
An Efficient Collaborative Filtering for Recommendation Systems Using Differential Machine Learning

Utilizing deep learning, in contrast to standard recommendation models, is capable of successfully capturing non-linear and non-trivial user-item connections and codifying extremely complex abstractions as data representations in higher layers. Differential machine learning as a type of supervised learning trains models based on the twin networks that consider inputs and labels and differentials of labels to inputs. This paper proposes an efficient collaborative filtering method for recommendation systems using differential machine learning, called Differential Collaborative Filtering (DiffCF). DiffCF integrates the cost of derivatives and errors in values, which increases accuracy remarkably. The experiments are performed to train recommender system models on various datasets with different feature dimensions, while a significant reduction in errors and regularization penalties is obtained in comparison to standard machine learning.
Border Vectorization for Ice Detection Problem

The article describes the problem of image vectorization applied to the task of delineating the boundaries of ice floes in order to further accuracy of object boundary definition. The analysis of existing approaches of raster image vectorization is carried out and advantages and disadvantages of each of the approaches are considered with reference to the task of ice floe boundaries extraction for the purpose of further accuracy of object boundary definition.
Hate Speech Detection using ML Algorithm

The difficulties that must be overcome when dealing with hate speech are not new. Hateful acts on social media have increased dramatically in recent years as a result of increased internet usage. Thanks to advancements in technology, it is now possible to provide a platform where people may freely express their thoughts and experiences. If this is the case, it will not be a problem. However, we sometimes witness hostile comments circulating on social media that are directed at a specific person or group. Hate speech is a statement that discriminates against a person or a group of people based on caste, creed, nationality, or other factors. Our study tries to address the aforementioned issue by utilising Deep Learning techniques to recognise hate speech and categorise it into several categories such as extremely positive, negative, or neutral. For classification, the SVM method was utilised.
A Forensic Analysis of Video Streaming Activities on Android Applications

Mobile applications of video streaming platforms store a lot of information on mobile devices which can have both positive and negative impacts. Positive, in the sense that it could assist law enforcement agencies in solving crime, and the negative impact is that it could be accessed by malicious actors. In this study, we forensically investigate the Netflix, Amazon Prime Video, and iFlix android applications. The major focus is on identifying stored artifacts on the mobile devices left behind by the android video streaming applications. It will give law enforcement agencies and forensic investigators a clear direction when it comes to extracting evidence to solve a crime. On the other hand, it will notify the mobile application developers on how to further improve the security of their mobile applications.
Touch Controlled Wheelchair

Abstract: Smart robotic wheelchair has a great significance in life of a disabled person. With several merits, a wheelchair becomes a dilemma for a disabled person when comes to self-propulsion. This project describes an economical solution of robot control systems. The presented wheelchair control system can be used for different sophisticated robotic applications. The automatic robotic wheelchair comprises of the features like sensing hindrances and circuitry to avoid colliding to obstacle and emergency calling. Implementing embedded systems solution on self-propelled wheelchair enhances upgradability. This paper briefs a multifunctional wheelchair for disabled mob using, touch screen, ultrasonic sensor and Motor driver system interfaced through microcontroller which ultimately abolishes switching technology and thus optimizing hardware cost. Obstacle avoidance facility enables to drive safely in unknown as well as dynamic environments. Keywords: Easy navigation, Obstacle avoidance, Touch screen, Motors
Status and potential of innovative universities

The information society, which is a new type of civilization, needs highly qualified specialists, from whom a high intellectual level is required. At the current stage of development of society, where the situation has changed due to the coronavirus, the importance of moral and spiritual development has increased many times. Therefore, the question arises whether a complementary combination of pragmatism and general humanitarian education is possible. We will try to consider the answer to this question on the basis of innovative universities. An innovative university is a university that trains specialists who meet modern market demands, meets global changes, is adapted to the conditions of modern high-tech industries, is able to develop rapidly, change, meet the needs of the domestic market, and also improves general humanitarian education. The main hypothesis is based on the fact that the mechanisms of education in universities, which replace traditional education, should be based on innovation and creativity. Kazakhstan’s innovative research universities should pursue the goal of training highly qualified specialists guided by humanistic values to form a new type of scientific education.
Multipartite quantum steering of symmetric and asymmetric structures based on four-wave mixing processes

In a quantum communication network, multipartite Einstein–Podolsky–Rosen (EPR) steering has become an important resource and has attracted much attention because of its important role in quantum secret sharing and quantum secure communication. In this paper, we investigate the multipartite EPR steering characteristics of symmetric and asymmetric structures based on four-wave mixing (FWM) processes. Multipartite quantum steering, among the four output light fields produced by two structures, is theoretically analyzed. We find that both symmetric and asymmetric structures can verify Gaussian steered monogamous relationships, but the asymmetric structure produces stronger steering and has more flexibility to manipulate monogamous relationships. The results presented here may find potential applications in secure quantum information manipulation processes.
Survey on the possibility of Windows 10 live login bypass / Inquérito sobre a possibilidade de desvio de login ao vivo no Windows 10

There are many scenarios where, during a law-enforcement or incident response situation, it is of interest to obtain live session data stored in volatile memory (RAM) in Windows 10 machines, which may be locked by a login screen prompt. This work attempts to survey the bibliography for methods and tools that could, in theory or in practice, bypass said security mechanism and possibly aid digital forensic investigators and law-enforcement get the full picture of a case.
Geographic Information Systems Compilation of Mineral Resources, Metallogenenic Belts, and Geodynamic Maps of Northeast Asia

A GIS compilation is of part of International Project “Mineral Resources, Metallogenesis, and Tectonics of Notheast Asia’. The major parts of the GIS compilation are: 1) geodynamic map layers, 2) mineral resource layers, 3) metallogenic belt layers, 4) regional aeromagnetic anomaly layers; 5) offshore (marine) gravity layers; 6) layers of onshore (continental) topography and offshore bathymetry; and 7) cultural themes. Similar construction GIS simultaneously allows to carry out information search and in Microsoft Access, and in Arc View in a mode a client - server accordingly. The GIS compilation is being prepared for CD and Internet/Web publication.
Dealing with highly evasive adaptive threats

Network SecurityVol. 2022, No. 4 Threat IntelligenceDealing with highly evasive adaptive threatsTom McVeyTom McVeyMenlo SecuritySearch for more papers by this authorTom McVeyPublished Online:28 Apr 2022https://doi.org/10.12968/S1353-4858(22)70033-5AboutSectionsView articleView Full TextView EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article References 1. Morgan, Steve. ‘Cybercrime to cost the world $10.5 trillion annually by 2025’. Cybercrime Magazine, 13 Nov 2020. Accessed Apr 2022. https://cybersecurityventures.com/cybercrime-damages-6-trillion-by-2021/. Google Scholar2. ‘Menlo Security report reveals less than three in 10 organizations are equipped to combat the growing wave of web-based cyber threats’ Menlo Security, 16 Mar 2022. Accessed Apr 2022. www.menlosecurity.com/press-releases/menlo-security-report-reveals-less-than-three-in-10-organizations-are-equipped-to-combat-the-growing-wave-of-web-based-cyber-threats/. Google Scholar FiguresReferencesRelatedDetails 1 April 2022Volume 2022Issue 4ISSN (print): 1353-4858ISSN (online): 1872-9371 Metrics History Published online 28 April 2022 Published in print 1 April 2022 Information© MA Business Ltd.
Faster and Better Grammar-Based Text-to-SQL Parsing via Clause-Level Parallel Decoding and Alignment Loss

As a mainstream approach, grammar-based models have achieved high performance in text-to-SQL parsing task, but suffer from low decoding efficiency since the number of actions for building SQL trees are much larger than the number of tokens in SQL queries. Meanwhile, intuitively it is beneficial from the parsing performance perspective to incorporate alignment information between SQL clauses and question segments. This paper proposes clause-level parallel decoding and alignment loss to enhance two high-performance grammar-based parsers, i.e., RATSQL and LGESQL. Experiments on the Spider dataset show our approach improves the decoding speed of RATSQL and LGESQL by 18.9% and 35.5% respectively, and also achieves consistent improvement in parsing accuracy, especially on complex questions.
Gold, sulphosalt and telluride mineralogy of the Lega Dembi shear-zone hosted gold deposit, Ethiopia

The gold mineralogical of quartz-sulphide ores at Lega Dembi has been investigated. Finegrained gold (native gold, electrum, tellurides) locked within pyrite and intimately associated with Pb-As sulphosalts is the main reason for lower-than-typical gold recoveries in quartz-sulphide ore. This As-dominated association is previously unreported from Lega Dembi and contrasts with a Pb-Sb character at higher levels. Tellurides are locally abundant and petzite accounts for a minor amount of Au in the ores. Assemblages and textures are explained in terms of exsolution and syn-deformational remobilization.
The Design and Data Collection of the Management System for Students' Entrepreneurial Work Aided by the Java Framework Based on the B/S Model

Based on the development status, characteristics and requirements of college students' innovation and entrepreneurship management system, this paper comprehensively analyzes the nature and process of employment in colleges and universities, and conducts a detailed design analysis in order to propose a complete and reasonable plan to solve the problem of using traditional electronic forms for decentralized management. Efficiency and other issues. The college students' innovation and entrepreneurship management system adopts the framework to realize zero maintenance of the client; uses Java language and B/S technology to develop the system, uses the database to store the system data, combines the framework to develop the system, and combines data sharing and the Internet The technology is designed and implemented, and the efficiency of data collection for entrepreneurship is increased by 7.9%.
Leaching experiments at 25°C and 90°C with muscovite-biotite and lepidolite-amazonite granites, Orlovka Ta deposit, Transbaikalia, Russia

Results of leaching experiments in water at 25°C and 90°C with muscovite-biotite and lepidolite-amazonite granites of the Orlovka Ta deposit (Transbaikalia, Russia) are presented. The experiments illustrate that lepamz granite gives mostly higher concentrations for elements in the solutions but two-mica granite gives solutions enriched in lanthanides. Enhanced temperature has a different and complex effect on the leaching process related to chemical element and type of rock. The ratio of the leaching rates at 25°C and 90°C can also radically change for different run times. Generally the rate decreases with time by 10-100 fold. These data are important for estimation of toxic element migration in the abandoned mining fields.
Integration of Big Data, Machine Learning, and Blockchain Technology

Industries are spending greatly on big data analytics as it helps in strategic investments. Improving the computational efficiency of analyzing complex data sets is becoming significant. As per various forecasts, big data analytics is estimated to be a 103 billion-dollar industry in the coming years. While there are multiple means of data acquisition, data storage is hindered by security means. User-owned systems are constrained in their storage power, and thereby for big data to be stored, the aid of centralized cloud servers is needed. Most cloud servers are owned by private organizations that have control over the users’ data, thereby affecting the privacy of the data. Various critical applications involve the storage and exchange of sensitive data where user control is essential. Thus, an alternate decentralized system that ensures data trust and users’ control over their data is necessary. Furthermore, the inaccuracy in the data input to the machine learning algorithms leads to incorrect training, less throughput and decreased efficiency, and wrong results. Blockchain offers a viable solution to these issues, providing security, privacy preservation, fine-grained access control, and veracity.
Factors controlling the Pd and Pt potential of the Skouries porphyry-Cu deposit, Chalkidiki Peninsula, N. Greece

Geochemical and mineralogical data from surface and drill core samples from the two porphyry centers of the Skouries deposit, may contribute to the establishment of controlling factors of the precious metal enrichment in porphyry-Cu systems, and to an extend to the evaluation of Pd as an economic factor for this type of deposit. The potential of the Skouries deposit is approximately 10 tons Pd and 2.2 tons Pt. A major crustal contribution, possibly by assimilation of the country rocks (amphibolite-metabasalt and ultramafic rocks) at depth, prior to the final emplacement, and the magmatic feature of very limited participation of any meteoric component in the hydrothermal circulation system of Skouries, seem to be the major controlling factors of the precious metal enrichment.
Thrust-related gold-bearing tourmaline-quartz veins: The Wrightbar mine, Val d'Or mining camp (Abitibi, Canada)

The Wrightbar gold mine, located in the southern part of the Abitibi Greenstone Belt Canada, is enclosed within an E-W trending, south-verging thrust faults separating the Bourlamaque Granodiorite batholith (BGB) (hangingwall) from volcanic rocks of the Val d’Or formation (footwall). Gold mineralization is associated with polyphased quartz/tourmaline shear veins hosted by metric-wide shear zones (SZ). During their growth, the quartz veins were associated with the development of hydrothermal alteration halos, that are characterized by an early synkinematic tourmaline-rich hydrothermal stage followed by a late to post-shearing carbonate/chlorite/ talc-rich stage. Sulfides have precipited during the progressive tectonic activity, but native gold was only deposited during a postkinematic chalcopyrite-rich episode.
Caring about Content about Care: Building Quality Content with Clinicians

Medical care outside the doctor’s office and the hospital is gaining traction. Lifestyle programs for transmural and remote care are everywhere, facilitated by hospitals as part of rehabilitation, by general practitioners as preventative measures, and more and more commonly, by various private (health) organizations through app stores. What might often be overlooked is the time and energy that is spent on the creation of the content in these programs. In this article, we discuss the elaborate content creation process of lifestyle content for an outpatient clinic for patients scheduled for an ablation surgery. We describe the close collaboration between the clinicians and our design research team, and reflect on how to streamline and formalize this process.
The Design and Development of Interactive Multimedia Based on ADDIE Model to Publicize the Department of Educational Communications and Technology

Due to rapid changes in the current society, there are also changes in other areas of life such as attitudes, beliefs, cultures, technologies and education. Right now, there is a need to reform education in order to keep up-to-date with the current changes. The mission of the Department of Educational Communications and Technology, Faculty of Industrial Education and Technology, King Mongkut's University of Technology Thonburi (KMUTT) is to create educational technologists and journalists who understand theories and have relevant skills so that they can apply their knowledge and skills in various situations and activities. It is expected that they can integrate their bodies of knowledge and mass media to solve problems and to develop human resources effectively . Therefore, the researchers are aware of the need to design and develop media to keep up-to-date and to publicize the Department to a wider audience. This research was aimed to develop interactive multimedia based on ADDIE Model to publicize the Department of Educational Communications and Technology in an online channel to increase the perception and the satisfaction of the students. Keywords: Interactive, Multimedia , ADDIE Model , Publicity, Department