Reviewerly/exHarmony huggingface dataset:
Safe Characteristic Signature Systems with Different Jurisdiction Using Blockchain in E-Health Records

Nowadays users can store the information remotely in the cloud and whenever they want, they can access information at any place with distributed storage system. For the information stored in remote places, information respectability reviewing is used to ensure truthfulness of the information put away in the virtual storage. In distributed virtual storage, for example, the Bank Transaction Records system, the virtual storage may consist of important information. The important information is not to be displayed to the unknown persons while the virtual records are accessed. Accessed documents are encoded and that can understand the sensitive data carefully and neatly. The most effective method to acknowledge information offering to sensitive data are carefully handled in remote places, data reviewing not been systematically examined till today. So, to address this issue, we are bringing the far-off information examine to ensure the idea that acknowledges information directed to sensitive data handled carefully here. In this plan, a tool is brought to clean the information squares comparing to most wanted data of the record and changes these information squares’ marks to essential one for the cleaned document. These marks are carried out to check the completeness of the cleaned document in the span of reviewing. Afterward our scheme uses the record stored in the virtual storage that is accessed and used by needy ones based on the precondition that the important content is secured. The distant information rectitude inspect is ready to be competently executed. Suggested plan is based on personality-based-cryptography.
Analysis on the key Points of Planter Components Adjustment and Improvement Design

In recent years, with the continuous development of precision seeding technology, precision seeding has become a major feature of modern seeding technology, and is gradually becoming the main development direction of seeding. The main purpose of this paper is to analyze and study the adjustment and improvement design of planter components. On this basis, this paper firstly analyzes the research status and value of the planter, then studies the overall structure and design requirements of the planter, and finally gives the design analysis of the adjustment and improvement of the planter's components under the computer background. Experiments show that the spoon-shaped seeding tray is designed in this paper, and the appropriate size of the spoon hole is designed according to the appearance size of the seeds, which can effectively reduce the seed breakage rate. And the fertilizer bins are sized to meet the amount required for field operations, without wasting energy by storing too much.
Using Contracts to Improve Security through Responsibility Bifurcation

As software development has shifted into a “getting to market quickly"[4] philosophy by embracing fast iteration[2] paradigms offered by such practices as “agile", ensuring strong security and verifiability characteristics has become increasingly difficult.
Introduction

In this chapter, general background for the research as well as what is treated in the thesis is summarized. Later, the structure of the thesis will be explained.
SIGLOG Monthly 230

The ACM Special Interest Group on Logic (SIGLOG), the European Association for Theoretical Computer Science (EATCS), the European Association for Computer Science Logic (EACSL), and the Kurt Goedel Society (KGS) are pleased to announce that
2022 Alonzo Church Award Announcement

The ACM Special Interest Group on Logic (SIGLOG), the European Association for Theoretical Computer Science (EATCS), the European Association for Computer Science Logic (EACSL), and the Kurt Goedel Society (KGS) are pleased to announce that has been selected as the winner of the 2022 Alonzo Church Award for Outstanding Contributions to Logic and Computation for his fundamental work on developing the theory and applications of Kleene Algebra with Tests, an equational system for reasoning about iterative programs, published in: Kleene Algebra with Tests. ACM Transactions on Programming Languages and Systems 19(3): 427-443 (1997).
From the Editor

We announce the winner of the 2022 Alonzo Church Award for Outstanding Contributions to Logic and Computation and present the Call for Nominations for the next edition of the Award. In the Automata Column, edited by Mahesh Viswanathan, Andreas Pavlogiannis overviews the CFL/Dyck reachability problem on graphs. Mahsa Shirmohammadi presents a tutorial on stochastic games in Ranko Lazić's column on Verification. As usual, we wrap up with the latest issue of SIGLOG Monthly, prepared by David Purser. Finally, I would like to announce that, from January 2023, SIGLOG News will be edited by Daniele Gorla from the Sapienza University of Rome. I am very grateful to Daniele for agreeing to take over and wish him every success in this role! It has been my great pleasure and honour to edit SIGLOG News since its foundation in 2014. I thank all the contributors and column editors for the enjoyable and fruitful co-operation and, most of all, for all their expert articles and introductions!
Measurement of the pattern shifts for HR-EBSD with larger lattice rotations

High-resolution electron backscattering diffraction (HR-EBSD) was used to measure rotations and elastic strains by matching diffraction patterns based on cross-correlation. However, the subset-based phase correlation algorithm was unable to determine pattern shifts accurately when large rotations occurred. In this paper, a new matching algorithm was proposed to measure pattern shifts and recover the elastic strain and lattice rotation with finite deformation theory. The algorithm was implemented in two steps: (a) Integral pixel matching: The pixel-related information of the Kikuchi patterns was mapped to the original three-dimensional sphere to obtain the image projected in parallel by using the feature points as the pattern center through the transformation of its spatial coordinates. The correlation between the images projected in parallel before and after deformation was then obtained. The locations of the integral pixels were determined by the peaks of the surface of correlation obtained by traversing all pixels in the search area. (b) subpixel refinement: the locations of subpixels were obtained by FAGN with an appropriate shape function involving rotation and translation. The algorithm was applied to dynamic simulated test sets, and its results were compared with those of the first-pass cross-correlation and the second-pass cross-correlation method with remapping. The proposed method was more robust in the case of rotation and solved the problem that displacement vectors could not be accurately measured when a larger lattice rotation occurred. The mean errors of the measured displacement, rotation, and strain components were 0.02 pixel, 0.5×10−4rad, and 1×10−4, respectively. Compared with the second-pass cross-correlation method, the angle of rotation was more precisely extracted.
A Study on Image Denoising using Higher Decomposition Method Based on Wavelet Transform

The Wavelet change is in certainty an unbounded arrangement of different changes, contingent upon the legitimacy work utilized for its calculation. Picture generally gets contorted amid securing, preparing and progress. As wavelet change has many preferences over other strategy, for example, best restriction and multiresolution properties. Wavelet change utilized different strategies for picture denoising, for example, Visu Recoil yet this method have hindrance that it deliver over smoothening of picture which causes obscure in the edges. So to defeat such issue we have proposed new strategy by changing the Visu recoil thresholding systems. We have contrasted our proposed strategy and the Visu thresholding strategy on the premise of PSNR esteem for various wavelet families, for example, Haar, Daubechies, Biorthogonal, Symlet and Coiflet.
Cloud Computing � A Next Generation E-Learning Resource

Cloud computing is an internet based distributed computing technology which provides Storage, Software, Computational platform, Computational infrastructures on demand as a service to the intended users in reusable fashion and users have to pay according to their consumption of those services. As with rapid growth of the cloud computing architecture usage, more and more industries move their focus from investing into processing power to renting processing power from a specialized vendor. Education field is no different. e-Learning has enormous potential in education. Cloud computing into e-learning is feasible and it can greatly improve the efficiency of investment and the power of management. Computing resources on demand and pay money according to their usage. e-Learnig has a service for education with cloud provided with security
The Review on Data Mining Techniques and its Applications

Data mining is a field of research which is escalating gradually. Data mining is the method of analyze data from unique views and summarization it interested in useful data. Data mining, also in general referred to like knowledge discovery from data (KDD), is the computerize or suitable extraction of patterns in place of knowledge completely stored or captured in large databases, data warehouse, the web, other vast information repositories or information streams. Data mining machine works with data warehouse and the whole process is divided into action plan to be performed on data: selection, transformation, mining and results elucidation. In this term paper, we have reviewed equal types of obedience in data mining, also make clear different areas somewhere used data mining feeling and used of it
The Study on Clustering Analysis in Data Mining

Cluster analysis is the duty of assemblage a set of items in such a manner that items in the same group are more alike to each other than to those in other groups .A collection of data entities can be treated as one group. Whereas undertaking gathering investigation, we first distinct the regular of records into groups based on data association and then assign the tags to the groups. The main advantage of gathering over arrangement is that, it is adaptable to variations and helps single out useful features that distinguishes dissimilar groups. It is a most significant tasks to efficient the data mining, and a common method for numerical data analysis, used in numerous fields. In This paper converse about different types of clustering algorithms such as Partitioning Method, Hierarchical Method Density-based Method, Grid-Based Method, Model-Based Method, and Constraint-based Method.
Feature Importance in Explainable AI for Expounding Black Box Models

In recent years, research on Explainable Artificial Intelligence (XAI) has risen as an answer to the demand for more openness and confidence in artificial intelligence (AI). This is particularly essential since AI is utilized in sensitive fields with social, ethical and security consequences. The focus of XAI’s work is largely on the categorization, decision or action of machine learning (ML) with already thorough systemic evaluations. In this paper, we try to have a comprehensive study of the different types of XAI. We evaluate the feature importance by analyzing three different popular algorithms on a medical dataset. Finally, the future challenges concerning XAI are discussed.
Corporate website as a strategic resource: Comparative analysis of Russian and European companies

The paper investigates the mechanisms through which companies can gain additional competitive advantages through using a corporate website. We identified statistically significant relationship between financial performance and aggregated metrics of the corporate website based on sample of 1240 European and 1056 Russian companies. The study is implemented in two stages: (1) applying the principal component analysis to conceptualize website metrics and (2) evaluating a regression model with a dummy variable to analyze the relationship between the characteristics of corporate websites and the financial performance of companies. Principal Component Analysis identified two components that reflect the visibility and authority of corporate websites. Regression analysis showed a statistically significant relationship between these characteristics and the company’s revenue. Moreover, for Russian companies we observe that visibility of the company’s website has the highest positive effect on the revenue. On contrary, for European companies’ website’s authority provides the highest increase in its revenue.
Research on Information Quality Evaluation Method of Q&amp;A Community from the Perspective of Fuzzy Evaluation

[Purpose/significance] Facing the current situation of information overload in the Q&amp;A community, this paper discusses how to effectively evaluate the quality of information released in the community, so as to facilitate the staff of Q&amp;A community to screen and recommend valuable and practical answers for platform users, which will enhance user stickiness. [Method/process] Firstly, the hesitant fuzzy information evaluation matrix is established for the qualitative evaluation information. Secondly, the entropy weight method is used to initially weight the indicators in consideration of the subjectivity of information matrix. Then, considering the overlap of indicator information, the initial weights are revised based on the correlation between the indicators to improve the accuracy of answer sorting. Finally, a comprehensive ranking of answer quality is obtained based on the weighted grey relational analysis method, and the optimal answer is selected. [Result/conclusion] An example of technical Q&amp;A community from CSDN is selected to analyze. The results show that the hesitant fuzzy sets as evaluation information can effectively solve the problem of evaluation personnel’s judgment level difference, and the revised index weights are used to make the answer ranking more in line with the actual situation
Learning Metaverse Powered by Artificial Intelligence

The Metaverse platform allows users to interact with 3D virtual spaces and objects using natural language commands. This enables the creation of highly interactive educational applications that are both engaging and informative. The aim of this research proposal is to explore how the Metaverse platform could be applied in education settings and determine its potential benefits for teachers and learners alike. Specifically, this research will identify opportunities where AI could further improve upon existing solutions in the education sector. In addition, the paper will discuss how AI-powered Metaverse applications can be used to create a smart education ecosystem as well as evaluate whether incorporating artificial intelligence into metaverses would result in improved student learning outcomes.
Formation of the meaning of pedagogical activity in future teachers

The effectiveness of any type of professional activity is associated with a clear and scientifically grounded understanding of its meaning. The article proves that the formation of the meaning of pedagogical activity should become one of the leading directions of the educational process in a professional pedagogical educational institution. The similar approaches of Russian and foreign scientists to the organization of professional training of future teachers are revealed, which consist in taking into account such components of the meaning of pedagogical activity as value, purpose and motive. The meaning of pedagogical activity is defined as a complex category of professional worldview that integrates the interconnected system of “values-goals-motives-actions”, implemented in the aggregate of interactions of participants in the educational process. Among the main characteristics of the meaning of pedagogical activity, the following are highlighted: determination by the level of professional outlook and practical experience; determination by the sociohistorical context and features of the national education system, in which the personality of the future teacher is formed; dynamism and continuity of development; stability due to professional convictions; interrelation and interdependence of the meaning of life and professional activity of the teacher, as well as the meanings of the participants in the educational process. The results of the study of the opinions of future teachers (first year students and graduates) about the meaning of pedagogical activity are analyzed. The leading role of a professional educational institution in the formation of the meaning of pedagogical activity among future teachers is discovered. The methodological experience of the formation of the meaning of pedagogical activity among students of a pedagogical college is described. Within the framework of the “multi-technology” approach, methods of various educational technologies that can be combined in the formation of the meaning of pedagogical activity are highlighted. The forms and methods of organizing the educational process, the most effective in the formation of the meaning of pedagogical activity, are highlighted. These are problematic and heuristic questions and tasks, the solution of pedagogical situations, the discussion pedagogical club, the study of the activities and main ideas of humanist teachers in the course of an educational project and practice at school. It has been established that the content of academic disciplines should include such interrelated components as the meaning of the subject-subject interaction of the participants in the educational process, the meaning of the implementation of the mission of the teacher and the pupil, the meaning of professional self-education and self-development.
Japanglish Pronunciation in Music Video "Tokyo Bon" by Namewee Featuring Meu Ninomiya

English is used as an international language, but some nations such as Japan used different alphabets to construct the words in their language. Japanese have three types of characters, but they used Katakana to write English words. Due to the inflexibility of Katakana characters, the Japanese pronunciation of English words has become a phenomenon called “Japanglish.” The theory used in this study is BIA+ proposed by Dijkstra and Van Heuven (1998). This study focuses on finding the mispronounced part in Japanglish and the pattern that emerges when Japanglish is used in the lyrics of the song. The data of this study were the lyrics in Japanglish from a video with the title “Tokyo Bon” by Namewee ft. Meu Ninomiya. This study used a qualitative method and documentation as a data collection technique. The results of this study were the findings of the mispronounced positions in Japanglish and the patterns in pronouncing Japanglish such as the substitutions of the consonants and vowels, most words ending with vowels, and shortening the words for more straightforward pronunciation.
A Hybrid Semantic Understanding and Machine Learning Based Algorithmic Framework for Chinese Text Sentiment Classification

Text sentiment classification is mainly used to determine the positive and negative aspects of sentiment, and obtains practical applications in user selection, information query, and information screening.In order to address the shortcomings of existing Chinese text sentiment classification algorithms, this paper briefly discusses the processing and labeling of the corpus and data collection for the implementation of the classification algorithm framework, based on the discussion of the steps of Chinese text sentiment classification based on semantic understanding and the process of Chinese text sentiment classification based on machine learning.In addition, the design of a hybrid semantic understanding and machine learning based Chinese text sentiment classification algorithm framework is discussed, and the experimental tests on sentiment classification of Chinese text by this paper's algorithm and DF, IG, and SVM are conducted, and the experimental data show that the check-all rate, check-accuracy rate, and F-measurement rate of this paper's algorithm are as high as 87.12% on average.Therefore, it is verified that the hybrid algorithm based on semantic understanding and machine learning is of high practical value in Chinese text sentiment classification.
Politeness Strategy of Direct Speech Acts in the Poto Wua Ta’a Ceremony

Politeness is very important in society as a social control during social interaction. This study aimed at analyzing the types of politeness strategy of direct speech act in the poto wua ta’a ceremony. The method used in this study was descriptive qualitative method, in which the researcher used politeness theory by Brown and Levinson (1987) to analyze, interpret and discuss the data in a form of utterances in poto wua ta’a ceremony. The result of the study showed that the politeness strategy used were negative politeness strategy, positive politeness strategy and off record strategy. However, the dominant strategy used in the ceremony of the poto wua ta’a was negative politeness strategy such as be conventionally indirect, be pessimistic, state the face threatening acts (FTA) as a general rule, as well as minimize the imposition. Thus, the use of negative politeness strategy made the hearer to be more respected and would do something willingly without pressure from the speaker.
Parallel and Distributed Optimization Algorithms for Scalable Machine Learning

In recent years, the emergence of a large number of parallel data makes us pay more and more attention to how to improve the efficiency of decision-making.In this paper, scalable machine learning is the research object.First, the existing problems and development directions of existing related technologies are analyzed.Then, an extensible machine learning algorithm is introduced to solve these problems.Finally, MATLAB is used to realize the optimization simulation of n subsystems, and the regression equation between the final result and the optimal value as well as the mean square error is obtained.The corresponding conclusions are drawn.The parallel and distributed optimization algorithms of extensible machine learning run for a short time, The parallel capacity is about 3500k, and the global performance can be effectively improved by updating existing methods in the feasible region.
Language Learning Strategy and Its Impact on Students’ Thinking Style at Senior High School

The objective of this study was to investigate the impact of strategy in studying language toward thinking style in EFL students senior high school students in the South Buton regency. A correlational design was used as the method of this research. There were 50 students from grade eleven involved in this research. The data collection used questionnaires as the instrument for both variables and analyzed using the regression test. This research found that the mean score for language learning strategies was 72.78, which was in the good category and the mean score for thinking style was 74.57, which was also in the good category. The hypothesis testing result indicated language learning strategies are significantly and strongly correlated to thinking style since the score of correlation was 0.775.