Reviewerly/exHarmony huggingface dataset:
Design features of the augmented reality client-server information system

This article is devoted to the issue of designing an augmented reality information system with a «client-server» architecture. The advantage of creating augmented reality information systems with type of architecture is the ability to quickly place content on a remote server and then display it through a client mobile application. Thus, a simplified user’s interaction with augmented reality content is provided. The work reflects the main stages of designing an information system with the specified type of architecture.
Facial Expression Recognition Based on Double-Channel Convolutional Neural Network

There has always been a relationship between various human emotions and facial expressions. Moreover, facial expressions are an important feature that can reflect emotions. In computer vision area, face expression recognition has become one of the active research points. In order to explore the relationship between facial expressions and human emotional, this paper proposed a double-channel weighted mixture convolutional neural network (WMDCNN). The network effectively improves the accuracy of face expression recognition (FER). We constructed a double-channel network using the VGG16 network and a improve AlexNet network. The WMDCNN network takes the facial feature image and the processed LBP feature image as the network input respectively, and then weighted mixes the feature vectors obtained at the output. The final prediction is derived. The WMDCNN network was evaluated on two publicly available datasets, CK+ and FER2013. From the experimental results, it can be seen that the model has good effectiveness and advancement in face expression recognition.
Pedagogical Skills Exercise as an Alternative to Increase The Teaching Ability of Pre-Service Chemistry Teachers at Field Experience Practice

This study aims to determine the effect of providing Pedagogical Skills Excercise (PSE) on the teaching ability of preservice chemistry teachers in the Field Experience Practice (FEP).The PSE used in this study consist of three different aspects, namely the skill of developing teaching materials, the skill to manage the classroom, and the skill to carry out the evaluation process.The FEP program is created as part of student teachers' curricula created by the university in collaboration with random schools in a specific area.This study was carried out in two different phases, first, the PSE process was given to the pre-service chemistry teacher, second, the FEP program was conducted by a pre-service chemistry teacher at a random school selected by the university (rular, urban, or remote schools).Eighteen pre-service chemistry teachers of Islamic University of Kalimantan Muhammad Arsyad Al Banjari Banjarmasin participated in this study.This study starts from the second semester of the 2016/2017 school year until the first semester of the 2017/2018 school year.The data were collected through observation, interview, and test.The results showed that the implementation of PSE could improve the teaching ability of pre-service chemistry teachers in FEP.The average score of all participants in all aspects is increased from 60.5 to 82.5.
Electronic Publishing: The Publisher's View

HighWire Press is a department of the Stanford University Libraries. The Press reports to the University Librarian, just like cataloging, serials, reference, or collection development. One motivating factor for starting HighWire was to respond to decades of complaints from librarians about rapidly increasing serial prices. The HighWire team includes professors, graduate students, librarians, and technical people. The HighWire access control system requires the administrator librarian to know a customer’s subscription number to begin the registration process. There is a difference between archiving and access. Access is measured in fractions of decades; archiving in centuries. Scientists like the faster distribution of the science; new issues are mounted online on or before the print cover date. The conference has been about changing roles and responsibilities among the players in the librarian/pubhsher/information industry. New players bring fresh perspectives to old problems.
What a Gold Mining Mishap Taught Us About Rivers

Miners in Alaska rerouted a river to search for gold. One hundred years later, the new channel is teaching scientists how rivers shape Earth.
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 • Describe criteria used by Reviewers when accepting/declining papers. Was there the opportunity to resubmit articles after revisions?: The criteria for reviewers consist of: 1) Importance of the topic 2) Sufficient originality and interest to merit publication 3) General layout of the paper 4) Clarity of expression 5) Standard use of English 6) Use of figures and tables 7) Validity of arguments 8) Sufficient, correct and appropriate procedures and methods 9) Adequacy of references 10) Overall impression. The authors have opportunity to resubmit the revision as many times as required by the reviewers. • Conference submission management system: indico.cern.ch All the papers were submitted online through the conference site: https://spc2021.sci.psu.ac.th and https://indico.cern.ch/event/973315/ • Number of submissions received: 99 • Number of submissions sent for review: 99 • Number of submissions accepted: 80 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 80.81% • Average number of reviews per paper: 4.27 • Total number of reviewers involved: 86 • Any additional info on review process: A plagiarism software was used to check for plagiarism. The similarity index must be less then 50% unless the submission gets rejected. Contact person for queries: Dr. Yongyut Laosiritaworn (Editor in Chief) Chiang Mai University, Thailand yongyut.laosiri@cmu.ac.th Dr. Boonyarit Chatthong (Coeditor in Chief) Prince of Songkla University boonyarit.ch@psu.ac.th
The Impact of Appling Cloud Accounting on the Financial Fraud at Jordanian Companies

The research aims to study the impact of the application of cloud accounting on financial fraud. The study sample consisted of 136 companies, which were selected randomly.To achieve the goal of the study, a questionnaire was designed to measure the variables of the study, where the questionnaire was distributed to companies that apply cloud accounting, and (90) questionnaires were distributed, but (72) questionnaires were returned, i.e. (80%).The results of the study showed that the application of cloud accounting reduces financial fraud in Jordanian companies, and it showed that increasing the size of the company leads to a decrease in the application of cloud accounting, and this is due to the fact that large companies prefer to use their own accounting systems, and the study recommended the need to increase legal procedures and penalties for financial fraud implementers, and it recommended to make further studies on cloud accounting.
PERANCANGAN VISUALISASI JURNAL “TALENTIFY” SEBAGAI MEDIA IDENTIFIKASI MINAT DIRI REMAJA

Talentify is an activity book that is used to help highschool teenager to explore their interests in order to prevent the phenomenon of misdirecting college major. From the first market research on extreme users and expert users, a visual problem was discovered where Talentify book was considered too stodgy to read and fill, this was due to the dominance of text's composition, also the minimum frequent of visual elements such as illustrations and symbols. Therefore, the purpose of this design is to overcome the visual problems of Talentify product as described above so that the book appearance looks more fun and challenging to fill. This design uses secondary data collection methods. The secondary data is the result of literature studies through related journals and books such as visual design, activity books, reflective journals, and interactive content. These summaries will be considered as the basic knowledge to redesign the appearance of the book. The result of this design is the visual element and the book graphic design itself with more "fun" concept which associates with the brand identity, also layouts and illustrations which more organized according to visual hierarchy that does not causing a stodgy feeling when the users fill and read the book.&#x0D; &#x0D; Keywords: Activity Book, Interactive Journal, Self-Interest.
Cross Retrieval of Document Resources in the Libraries of Colleges of Traditional Chinese Medicine in Parallel Clusters

Library document resource sharing is an important symbol of library development, and knowledge storage and retrieval is the key technology of library document resource sharing and dissemination. Based on the parallel cluster research, this paper takes the construction of the document resource guarantee system of the libraries of Chinese medicine colleges and universities as the object, conducts cross-indexing of document resources, and compares the differences between different systems, so as to rationally organize and scientifically organize the document resource guarantee system of Chinese medicine colleges. There is a clearer understanding of the layout. The current literature resource retrieval methods based on catalog classification, keywords, etc. lack semantic information and cannot satisfy users' retrieval requests, and the indexing efficiency is improved by 11.2%.
A skeleton model to enumerate standard puzzle sequences

&lt;abstract&gt;&lt;p&gt;Guo-Niu Han [Sémin. Lothar. Comb. 85 (2021) B85c (electronic)] has introduced a new combinatorial object named standard puzzle. We use digraphs to show the relations between numbers in standard puzzles and propose a skeleton model. By this model, we solve the enumeration problem of over fifty thousand standard puzzle sequences. Most of them can be represented by classical numbers, such as Catalan numbers, double factorials, secant numbers and so on. Also, we prove several identities for standard puzzle sequences.&lt;/p&gt;&lt;/abstract&gt;
Aesthetic aspects of Mark Zakharov’s direction

We present an analysis of the basic aesthetic principles of Mark Zakharov’s directing. We consider the creative path of the director, factors influencing the development of his directorial views and worldview. Throughout his career, Zakharov improved and was constantly on the loo-kout. The director formulated some principles of working with actors. Among them is the need to help an actor, directing him in the right direction of his plan, without turning him into a pawn for directorial experiments. A modern actor must constantly take into account three important theatrical elements: the material environment, partners and spectators. Mark Zakharov’s performances did not put the actor in a certain framework, but on the contrary, gave an opportunity for improvisation, active life, constant creative search. We also focus on the director's ability to influence the viewer. He was able to unobtrusively, in a comedy-musical form, convey to the viewer the most terrible events, the wisest thoughts, and this form is always perceived better, the viewer is more willing to let himself be taught. We conclude that Zakharov built his own special directing system based on his worldview.
Estimating deformation of pipe from its internal image

In recent years, the number of pipes that have exceeded their service life has been increasing. Thus, regular inspection of the pipes is required. In particular, a flexible pipe made of vinyl chloride shows its unique degradation, such as oblatening. In this paper, we propose a method of estimating the degree of oblatening of a pipe from its internal image captured by an earthworm robot. Covariance matrix of the image is used to obtain the degree of oblatening.
Efficient Visualization Framework for Real-Time Monitoring Network Traffic of High-Speed Networks

As we know there will be a big volume of data, querying it or employing a machine learning method that requires a full dataset to anticipate passive internet traffic is not appropriate for all aspects of traffic monitoring software. True, similar algorithms may be used for other reasons, but the fundamental characteristic that no other model has is a system that can forecast immediate changes or data mining. The major goal of this study is to provide effective visualization monitoring for real-time passive traffic analysis in low-complexity high-speed networks. We also in near future will look at how rendered graphs from several time bins might be stitched together to create a massive amount of data that shows how traffic patterns change over time.
Deep Learning Optimization

In Chap. 6 , we discussed various optimization methods for deep neural network training. Although they are in various forms, these algorithms are basically gradient-based local update schemes. However, the biggest obstacle recognized by the entire community is that the loss surfaces of deep neural networks are extremely non-convex and not even smooth. This non-convexity and non-smoothness make the optimization unaffordable to analyze, and the main concern was whether popular gradient-based approaches might fall into local minimizers.
Empirical Assessment of the Long-Term Impact of an Embedded Systems Programming Requalification Programme

Digital transformation has increased the demand for skilled Information Technology (IT) professionals, to an extent that universities cannot satisfy it with newly graduated students. Furthermore, the economical downturn has created difficulties and scarcity of opportunities in other areas of activity. This combination of factors led to the need to consider requalification programmes that enable individuals with diverse specialisations and backgrounds to realign their careers to the IT area. This has led to the creation of many coding bootcamps, providing intensive full-time courses focused on unemployed people or unhappy with their jobs, and individuals seeking a career change. A multidisciplinary group of higher education teachers, in collaboration with several industry stakeholders, have designed and promoted an embedded systems programming course, using an intensive project-based learning approach comprising 6 months of daylong classes and a 9 months internship. Having finished two editions of the programme, a questionnaire was presented to the students that finished successfully, in order to evaluate the long-term benefits to graduates and companies. This paper presents a brief discussion of the programme organisation and pedagogical methodologies, as well as the results of the questionnaire, conducted following a Goal–Question–Metric (GQM) approach. The results demonstrate very positive outcomes, both for graduates and companies.
Corrigendum to: A bimodal gamma distribution: properties, regression model and applications (Statistics, 54, 469–493)

Vila et al. proposed and studied a bimodal gamma (BGamma) distribution using a quadratic transformation based on the alpha-skew-normal model. The log-likelihood function and first and second-order partial derivatives are not correct for the case n>1.
High Precision Measurement of Sub-Nano Ampere Current in ATE Environment

Background: In IoT system devices, currents become smaller and they have to operate for ten years with a coin cell battery. Then their accurate and fast measurement is required at the mass production shipping stage. However, the conventional method needs a large resistor (Rm, MΩ-order in Fig. 1) which makes the testing slow, and the ATE environment is noisy.Research Target: Our target is the development of a testing technique to measure the current in the order of nano or sub-nano ampere with high linearity in the noisy ATE environment and in short time as well as with only additional low cost built-out self-test (BOST) circuits.Approach: Fig. 2 shows the proposed current measurement circuits. The current under test is converted to the voltage through an op-amp and a resistor R <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</inf> of 10kΩ, and it is then converted to the AC voltage; these conversions are done with small BOST circuits. The AC voltage is amplified and converted to the digital signal through an AC amp, a sample/hold circuit and an ADC. FFT is performed and its power spectrum is calculated; the input current value is obtained. The resistor (Rm) of 10k generates spike noises which are spurious components in the power spectrum. However, usage of the sample/hold circuit reduces their effects. Thanks to the DC-AC conversion, the measurement accuracy is not degraded by the system noise in the low frequency region. The nano-ampere current and the resistor of 10kΩ produces several tens μV level voltage and our previous research in [1, 2] shows that the DC-AC conversion method can measure this level of the voltage accurately and in short time. Also, its multi-channel measurement is possible.Experiment Verification: Preliminary experiment with the prototype system in Fig. 2 was performed and its measured result is shown in Fig. 3. The measurement circuit gain in Fig. 2 was calibrated with 1.0nA input current (Iin), which corresponds to Vin of 10.0μV. Also an offset of 0.2μV due to electromotive force (EMF) was calibrated. We see in Fig. 3 that the proposed method can measure the current as low as 50pA. So far EMF limits the lowest measurable current. Fig. 4 shows 100 times of measurements for 1.0nA without averaging. Each measured current value is obtained by 1K-point FFT with 25.6 ksps, 16-bit ADC (myDAQ) usage and the measurement time of 40ms. The measured data is within 0.94nA to 1.07nA; the variation range is 0.13nA <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p−p</inf> .Conclusion: A method of fast and accurate current measurement as low as 50pA using IV conversion and DC-AC conversion in ATE environment has been developed.
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 • Conference submission management system: Konfrenzi • Number of submissions received: 37 • Number of submissions sent for review: 23 • Number of submissions accepted: 14 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 37.8% • Average number of reviews per paper: 2 • Total number of reviewers involved: 7 • Any additional info on review process: • Contact person for queries: Prof. Zaki Su’ud Email: szaki@fi.itb.ac.id Dept. of Physics, Faculty Mathematics and Natural Sciences Institut Teknologi Bandung, Indonesia Address: Jl. Ganesa No 10 Bandung, West Java, Indonesia Postal Code: 40132 Tel : +62-22-2500834 Fax: +62-22-2506452
IMPLEMENTASI ALGORITMA YOLO DAN TESSERACT OCR PADA SISTEM DETEKSI PLAT NOMOR OTOMATIS

Currently, vehicle number plate detection systems in general still use the manual method. This will take a lot of time and human effort. Thus, an automatic vehicle number plate detection system is needed because the number of vehicles that continues to increase will burden human labor. In addition, the methods used for vehicle number plate detection still have low accuracy because they depend on the characteristics of the object being used. This study develops a YOLO-based automatic vehicle number plate detection system. The dataset used is a pretrained YOLOv3 model of 700 data. Then proceed with the number plate text extraction process using the Tesseract Optical Character Recognition (OCR) library and the results obtained will be stored in the database. This system is web-based and API so that it can be used online and on the cross-platform. The test results show that the automatic number plate detection system reaches 100% accuracy with sufficient lighting and a threshold of 0.5 and for the results using the Tesseract library, the detection results are 92.32% where the system is successful in recognizing all characters on the license plates of cars and motorcycles. in the form of Alphanumeric characters of 7-8 characters.
Error in Quiz Answer Option

Investigation titled "Association of Antibiotic Treatment With Outcomes in Patients Hospitalized for an Asthma Exacerbation Treated With Systemic Corticosteroids," 2 published online in the March 2019 issue of JAMA Internal Medicine, a quiz answer option has been updated.In Question 4, option C has been changed to "Lower risk of treatment failure."The quiz has been updated online.
An Overview of Blockchain Technology for Secure Data Transformation in Data Science

Data science integrates many fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data. Data science consists of preparing data for analysis, it includes aggregation and manipulation of data to perform data analysis. Data opening, sharing, and privacy protection are the main concerns in the development of data science. These can be overcome by the characteristics of blockchain. Blockchain is used as the main technology to secure data science techniques. By using blockchain technology trust problems on the internet can be solved. The main benefits of using blockchain in data science are it will provide high data quality and traceability. Blockchains can handle a large volume of data. Data science and blockchain technology can be combined to change the way of processing and analyzing data. Data science and blockchain technology use algorithms to control interaction with different data sections..
A Classification Framework of Identifying Major Documents with Search Engine Suggests and Unsupervised Subtopic Clustering

This paper addresses the problem of automatic recognition of out-of-topic documents from a small set of similar documents that are expected to be on some common topic. The objective is to remove documents of noise from a set. A topic model based classification framework is proposed for the task of discovering out-of-topic documents. This paper introduces a new concept of annotated {\it search engine suggests}, where this paper takes whichever search queries were used to search for a page as representations of content in that page. This paper adopted word embedding to create distributed representation of words and documents, and perform similarity comparison on search engine suggests. It is shown that search engine suggests can be highly accurate semantic representations of textual content and demonstrate that our document analysis algorithm using such representation for relevance measure gives satisfactory performance in terms of in-topic content filtering compared to the baseline technique of topic probability ranking.