Reviewerly/exHarmony huggingface dataset:
GenSQL—NLP-Based SQL Generation

Relational databases saved the world’s facts in a considerable amount. The inability of insight of query languages limits the ability of the users to recapture the adequate knowledge. Here, natural language processing is enforced to relational databases. An NLP-based model is proposed to convert natural language utterances to SQL queries. Semantic parsing models find it difficult to derive to imaginary database schemas while convertion, which then retrieves corresponding results from the database. To handle schema encoding, schema look up and feature illustration within an encoder, the word uttered is taken as the input, and then sequence-sequence modelling takes place to show consideration to schema encoding based on the relation-aware self-attention system. The framework is evaluated on the two models based on the specific coordination and hardness norms of inquiry. The expected model upgrades the results of text-to-SQL (Yu et al. in Cosql: A conversational text-to-sql challenge towards cross-domain natural language interfaces to databases, pp. 1962–1979, 2019) task that is displayed on results of the Spider dataset.
Quickly solving Maxwell’s equations for photonics design

Deep neural network solves Maxwell’s equations speedily and accurately by minimizing solution residuals.
Quantum-enabled communication without a phase reference

A phase reference has been a standard requirement in quantum sensing and communication protocols. We show that quantum communication and entanglement- assisted communication without a phase reference are possible, when a short-time memory effect is present [1].
Editorial Material

Young Scholar Symposium on Science Education and Environment 2020 (YSSSEE 2020) E Pane 1 , A Saregar 1 , and U A Deta 2 1 Universitas Islam Negeri Raden Intan Lampung, Indonesia 2 Universitas Negeri Surabaya, Indonesia E-mail: antomisaregar@radenintan.ac.id Young Scholar Symposium on Science Education and Environment (YSSSEE) is the annual conference held by Universitas Islam Negeri Raden Intan, Lampung, Indonesia. The theme of this conference is Science, Technology and Education for Sustainable Environment with the Focus and Scope of this research including (1) Physics; (2) Material Sciences; (3) Applied Physics; (4) Natural Sciences; (5) Sciences Education; (6) Mathematics; (7) Mathematics Education; and (8) Environmental Sciences. List of Executive Chairman, Organizer, Co-Organized, Keynote Speaker, Advisory Board, Organizing Committee, Documentations of YSSSEE are available in this Pdf.
Peer review declaration

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 / Double-blind / Triple-blind / Open / Other The review process in SNF-2021 was conducted by a single-blind process, which means that only referees know the identity of authors, but the authors do not. • Conference submission management system: Open Journal System • Number of submissions received: 157 • Number of submissions sent for review: 130 • Number of submissions accepted: 117 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mfrac> <mml:mrow> <mml:mn>117</mml:mn> </mml:mrow> <mml:mrow> <mml:mn>157</mml:mn> </mml:mrow> </mml:mfrac> <mml:mo>×</mml:mo> <mml:mn>100</mml:mn> <mml:mi>%</mml:mi> <mml:mo>=</mml:mo> <mml:mn>74.5</mml:mn> <mml:mi>%</mml:mi> </mml:mrow> </mml:math> • Average number of reviews per paper: 10 • Total number of reviewers involved: 13 • Any additional info on review process: None • Contact person for queries: Name : Dr. Teguh Budi Prayitno Affiliation: State University of Jakarta Email : teguh-budi@unj.ac.id
Major Approaches to Robot Environmental Modeling

This paper provides an overview of popular graph generation technologies based on robot path planning. With a focus on the principles and development of major environmental models, we studied the latest trends and improvement of existing technologies. Path planning algorithms are represented by the environmental modelling method and search-based method, with the former serving as the preparation for path planning. Environmental models include visibility graph method, grid diagram, collision-free space and topology. The paper discussed Voronoi diagram, grid diagram and visibility graph, aiming to provide technical guidance for researchers who have made outstanding progress in this field in the past few decades.
Detection of Structure Characteristics and Its Discontinuity Based Field Programmable Gate Array Processor in Cancer Cell by Wavelet Transform

Digital clinical histopathology is one of the crucial techniques for precise cancer cell diagnosing in modern medicine. The Synovial Sarcoma (SS) cancer cell patterns seem to be a spindle shaped cell (SSC) structure and it is very difficult to identify the exact oval shaped cell structure through pathologist’s eye perception. Meanwhile, there is necessitating for monitoring and securing the successful and effective image data processing in the the huge network data which is also a complex one. A field programmable Gate Array (FPGA) was regarded as a necessary one for this. In this work, based on FPGA a Cancer Cell classification is made for the regulation and execution. Hence, mathematically the SSC regularity structures and its discontinuities are measured by the holder exponent (HE) function. In this research work, HE values have been determined by Wavelet Transform Modulus Maxima (WTMM) and Wavelet Leader (WL) methods with basis function of Haar wavelet based on FPGA Processor. The quantitative parameters such as Mean of Asymptotic Discontinuity (MAD), Mean of Removable Discontinuity (MRD) and Number of Discontinuity Points (NDPs) have been considered to determine the prediction of discontinuity detection between WTMM and WL methods. With the help of receiver operating characteristics (ROC) curve, the significant difference of discontinuity detection performance between both the methods has been analyzed. From the experimental results, it is clear that the WL method is more practically feasible and it gives satisfactory performance, in terms of sensitivity and specificity percentage values, which are 80.56% and 59.46%, respectively in the blue color components of the SNR 20 dB noise image.
School-Director’s Role in The Pedagogical Team Conflict Management

The proposed publication investigated the professional profile of the educational manager. Attention is drawn to the types of conflicts, emerging between pedagogical professionals. The peculiarities of a relationship between school-director and pedagogues are examined.
An Improved Version of Playfair Technique

Encryption which is defined as a process which converts plain text into a coded form i.e. which is in an unreadable form, so that no one can extract it or read it. It is very important to keep our data safe. There are a lot of techniques which are used for this purpose. Playfair technique is one of them. Playfair technique is used for the encryption of data. Playfair technique allows the existence of alphabets (upper case and lower case both), integer value and special symbol. In many algorithms only alphabets is used, most of the algorithm used alphabets as well as integer value and so on. Playfair techniques consider the plain text as single unit and convert the plain text into cipher text. The use of this technique is a challenge to the attack to understand the text and then decrypt it. Some time it may be possible for the attacker to understand the plaintext due to their weak matrix and key. To overcome this problem, this work proposes a technique that enhances the security of play fair technique using rectangular and substitution matrix. This work uses 8*8 matrices that contain alphabets, integers and special symbols. The objective of this work is to provide security for the data that contain alphabets, integer value as well as special symbols during transmission.
Peer review declaration

Abstract All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Double-blind • Conference submission management system: AI Scholar System • Number of submissions received: 98 • Number of submissions sent for review: 91 • Number of submissions accepted: 48 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 49.0% • Average number of reviews per paper: 2 • Total number of reviewers involved: 30 • Any additional info on review process: • Step 1. Each of selected paper will be reviewed by two/three professional experts in the related subject area. • Step 2. Review Reports received from the experts will be judged by one of the editors either Review Reports are logical or not? • Step 3. If not logical, then editor can assign new reviewer or can also judge at his/her own. • Step 4. If logical, then Review Reports will be sent to authors to modify the manuscript accordingly. • Step 5. Authors will be required to revise their papers according to the points raised. • Step 6. Revised version will then be evaluated by the editor for the incorporation of the points raised by the reviewers. • Step 7. Then the editor will send the revised manuscript to the reviewers again for re-evaluation. • Step 8. If the reviewers approve the revise version of the manuscript, then will be accepted for publication. • Contact person for queries: Xuexia Ye publication@keoaeic.org AEIC Academic Exchange Information Centre
Biological education in Belarusian State University for 100 years

The article is dedicated to the centenary of Belarusian State University and the centenary of biological university education in Belarus. The history of the faculty of biology is described, a retrospective of the development of its units since 1921 is presented. The most significant personalities and events are highlighted. The inseparable connection between the life of the faculty and the university as a whole is demonstrated.
Clinical diagnosis of breast cancer samples using artificial immune systems with negative selection / Diagnóstico clínico de amostras de cancro da mama utilizando sistemas imunitários artificiais com selecção negativa

This paper uses an artificial immune system applied for diagnosing breast cancer samples. Taking as basis an immunological process, the negative selection algorithm was used to discriminate the samples, attaining a classification for benign or malignant cases. The main application of the method is to assist professionals in the breast cancer diagnostic process, thereby providing decision-making agility, efficient treatment planning, reliability and the necessary intervention to save lives. To evaluate this method, the wisconsin breast cancer diagnosis database was used. This is an actual breast cancer database. The results obtained using the method, when compared with the specialized literature, show accuracy, robustness and efficiency in the breast cancer diagnostic process.
Effectiveness of Blended Learning in English Speaking Skill for Undergraduate in 4.0

This research deals with the students’ achievement of speaking skills and perception towards Implementing Individual Rotation of blended learning. The writers discuss the effectiveness of blended learning implemented in the pre-test and post-test of English speaking skill achievement of the 2nd semester of English Department students of the University of Sumatera Utara and their perception of it. This research aims to find out how the Individual Rotation Model of blended learning improves students’ English speaking skill achievement using the Learn Social platform and to find out students’ perceptions after implementing blended learning. In conducting this research, the writers apply descriptive with a mixed-method (Creswell &amp; Plano Clark, 2011) analyzing the students’ achievement found in the pre-test and post-test and giving the online questionnaire to assess their perception towards blended learning. The data shows that the student's achievement in the post-test (Mean=87%) was higher than the pre-test (Mean=85%) out of 50 students. According to the data, 90% of the 42 students gave a positive response to blended learning. The result showed Individual Rotation Model improves the English speaking skill achievement especially in the components of speaking skill namely, vocabulary, grammar, and comprehension, and effective to be implemented for undergraduate students in the era of industrial revolution 4.0.
Factors that Influence Self-Efficacy in Maintaining Personal Hygiene of Postpartum Mothers

Background: At present the health status of mothers and babies in Indonesia is still low, which is markedby high maternal mortality rate (MMR) and infant mortality rate (IMR). Mothers and families must be ableto carry out their roles and functions related to postnatal maternal health care and the health of their babies.Mother’s personal hygiene helps reduce the source of infection and increases the feeling of comfort in themother and thus increase the self-efficacy of postpartum mothers to care for their babies. The purpose ofthis study is to determine the direct and indirect influence of the role of health personnel, family support,physical conditions, sources of information and social environment to self-efficacy in postpartum mothersin maintaining personal hygiene at Pasir Mulya Health Center of Bogor City in 2017.Methods: This research study used cross-sectional design. The data collection with a total sample of 60participants was taken from questionnaires. The analysis method used was the Structural Equation Model(SEM) using SmartPLS 2.0.Conclusion: The self-efficacy variable of the postpartum mother in maintaining personal hygiene at PasirMulya Health Center of Bogor City was influenced by information source (2.61%), family support (6.39%),physical condition (31.62%), information source (39.40%) and social environment (24.72%). Total directand indirect influence of self-efficacy of postpartum mother in maintaining personal hygiene was 56.44%.Thestudy showed that when the mother received more information, then the self-efficacy will be higher. If apostpartum mother has high self-efficacy, the personal hygiene will improve as well and lower the maternaland infant mortality rate.
University Students’ Attitudes to Soft Skills in Business Communication Training

Nowadays learning Russian in business communication is a major part of vocational education and training and within this academic subject it is possible for university students to develop soft skills. This research examined the formation, development and application of a universal set of soft skills to help graduates adapt to the modern labor market. The study was conducted with 196 first-year students in the Vladivostok State University of Economics and Service. A subjective scale technique was applied using a survey-questionnaire. The data were processed using systematization and generalization methods. The results showed that subjective attitudes to the application of soft skills were developed in students studying Business Russian. The building of soft skills helps students use knowledge in practice and to increase their motivation for personal professional growth and development. The research revealed that 21 out of 24 declared soft skills are actively formed in students in the course of teaching. In addition, the analysis gave an objective view of the abilities, interests and tendencies of each student. This information is necessary to improve the educational process. The results of the research play an important role in the development of the theory of competence model of successful modern graduates. The research results can be used by universities to develop and improve working curricula in accordance with the requirements of new educational standards.
DEEP LEARNING FOR BIG DATA AND ITS APPLICATIONS INCLUDING CLINICAL IMAGE PROCESSING USING CNN APPROACH

Numerous technological innovations in the field of Computer Science have recently happened.Prisma and Deep Art were two interesting web services that turn your images into pieces of art as in fashions of legendary masterpieces.Autonomous robots, breakthroughs in Clinical Image Processing, such as the ability to interpret MRIs or CT scans faster but more correctly than oncologists, or the ability to identify the deadly disease and with less aggressive treatment were on the horizon.There were also advancements in self-driving automobile
ECPHRASIS AND SEMIOTIC COMPLEMENTATION IN THE ASPECT OF INTERSEMIOTIC TRANSLATION

The article outlines a distinction between intersemiotic translation and several related concepts such as ecphrasis and semiotic complementation.Examples related to these concepts are given.It is proved that the above-mentioned concepts act as factors complicating the study of intersemiotic translation.
Optical Power Limiters for Securing Practical Quantum Communication Systems

We propose and experimentally demonstrate a passive optical power limiter device used to protect practical quantum communication systems. The device is robust against different signal variations and has minimum impact on the quantum signals.
Peer review Declaration

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 : Double-blind a) The first checking includes the insufficient originality, serious scientific or technical flaws, out of conference topics and so on. Particularly high rate of similarity or lack of a significant message will be rejected directly at this stage. b) Then, the submissions passed the first checking will be peer-reviewed by 2 independent reviewers, who have published 5 or more research articles in recent 3-5 years in this field. Each submission will be reviewed follow its relevance, originality, technical quality, significance of the submission; there will be four results within 2-3 weeks: Accept/Reject outright/Consider after Major/Minor Revisions. c) Authors have 2-3 weeks to resubmit an updated version of their submissions with the necessary changes for further evaluation, which should follow the comments and suggestions from our reviewers. Only those submissions passed the peer review and accepted by the reviewers and editors will be included in the conference proceedings finally and submtted to our publisher for checking. • Conference submission management system : Online Conference Email: epesconf@163.com, Dr. Min Chen • Number of submissions received : 165 submissions • Number of submissions sent for review : 130 Submissions • Number of submissions accepted : 67 Submissions • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100) : 41% • Average number of reviews per paper : 2 Reviewers • Total number of reviewers involved : 52 Invited Reviewers • Any additional info on review process : Plagiarism Check System: iThenticate and Turnitin • Contact person for queries : Dr. Min Chen Beijing Institute of Technology (Zhuhai), China epesconf@163.com
P76 Federated Analysis of Multi-Centric Real-World Data: A Feasibility Study

Real-World Data (RWD) brings evidence about potential benefits and risks of a medical product that complements evidence generated during clinical trials. An important aspect of RWD is to incorporate data from multiple cohorts so as to minimize bias. However, data sharing in a central repository is not always possible due to data regulations and operational hurdles, thereby impeding the adoption of Real-World Evidence. Federated analysis (FA) is a novel approach to execute analyses on non co-located datasets, where data analysis is executed locally to preserve privacy and ensure compliance. In this work, we investigate the potential of FA to perform statistical analysis over large, decentralized datasets. The main purpose of the study was to evaluate if common statistical operations can be performed in a federated fashion. We performed a proof-of-concept federated analysis implementation of several common statistical analysis methods on the public cancer TCGA dataset, split in three centers to mimic a decentralized setting. We quantitatively tested the difference between results obtained with a Federated Analysis and with a standard pooled implementation. We also qualitatively assessed the difficulty to perform an FA analysis. Our findings indicate that it is possible to perform federated analysis for descriptive statistics (mean, variance), survival analysis (Kaplan-Meier curves and Cox Proportional Hazards Model), and hypothesis testing (log-rank test) that provides results equivalent to a pooled implementation. Furthermore, the implementation is qualitatively simple for experienced data scientists. FA holds the potential to perform RWD analysis in a private and compliant fashion over decentralized data. This is especially relevant for rare diseases where local data scarcity is commonplace. Future works will investigate the evolution of the gap between FA and pooled methods when additional privacy-preserving techniques, such as differential privacy, are used.
Efficient Feature Interactions Learning with Gated Attention Transformer

Click-through rate (CTR) prediction plays a key role in many domains, such as online advising and recommender system. In practice, it is necessary to learn feature interactions (i.e., cross features) for building an accurate prediction model. Recently, several self-attention based transformer methods are proposed to learn feature interactions automatically. However, those approaches are hindered by two drawbacks. First, Learning high-order feature interactions by using self-attention will generate many repetitive cross features because k-order cross features are generated by crossing (k–1)-order cross features and (k–1)-order cross features. Second, introducing useless cross features (e.g., repetitive cross features) will degrade model performance. To tackle these issues but retain the strong ability of the Transformer, we combine the vanilla attention mechanism with the gated mechanism and propose a novel model named Gated Attention Transformer. In our method, k-order cross features are generated by crossing (k–1)-order cross features and 1-order features, which uses the vanilla attention mechanism instead of the self-attention mechanism and is more explainable and efficient. In addition, as a supplement of the attention mechanism that distinguishes the importance of feature interactions at the vector-wise level, we further use the gated mechanism to distill the significant feature interactions at the bit-wise level. Experiments on two real-world datasets demonstrate the superiority and efficacy of our proposed method.