Reviewerly/exHarmony huggingface dataset:
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 Review Conference submission management system: i-conf Submission Number of submissions received: 23 Number of submissions sent for review: 23 Number of submissions accepted: 12 Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 52.17% Average number of reviews per paper: 2 Total number of reviewers involved: 29 Any additional info on review process: none Contact person for queries: Name: Bella Chen Affiliation: ICDMA 2021 Conference Secretary Email: icdma@outlook.com
64 360 Simulation: Assessing Baby Robin

Within a rural county, student placement locations are geographically scattered. Student feedback revealed that only students in one placement were able to benefit from the high-fidelity simulation suite resources situated at the lead hospital. Research shows students value co-created and personalized resources. Working with our practice partners we identified a cost-effective, accessible and inclusive solution, using 360 videos. Clinical simulation has been found to be effective To use 360 videos accessed via low-cost VR headsets to scale the clinical simulation experience for paediatric nursing students. Working with our local hospital and our second-year paediatric nursing students, we used agile design methods and co-creation to develop two ABCDE assessment clinical simulations (sepsis and acute respiratory illness), using a 360 camera. These videos were accessed using low-cost virtual reality headsets, Oculus Quest™, mobile devices and Microsoft HoloLens™. Qualitative evaluation sought views of students, nursing staff/academics and simulation technicians through focus groups (n = 10). Thematic analysis revealed emergent themes of flexibility of access, repetition of learning opportunity and strengthening or the practice-theory link. Challenges included user familiarity with the technology and time investment. The main impact of this project was wider and longer-lasting learning compared with traditional methods. Bite size learning chunks embedded strategically into our new nursing curriculum, for 300 student nurses studying at level 5. Harnessing the full potential of the clinical simulated experience permits students and staff to learn at a time and place of their own choosing. The ABCDE assessment will be expertly demonstrated through 360 videos, which will better prepare students for in-person simulations, saving face-to-face time explaining how to carry out the simulation. Learning from this project will feedforward to a faculty-wide multi-disciplinary clinical simulation event, informing guidelines.
A Privacy Protection Mechanism For Health Big Data Based On Xml

With the deepening application of big data technology in the field of health care, the potential risks such as personal privacy and security that may be brought by the collection, analysis and sharing of health data cannot be ignored. How to ensure the safety of health big data and conduct reasonable and compliant analysis and utilization of health big data is an urgent problem to be solved at present. Based on the characteristics of health big data, this paper focuses on the privacy connotation of health big data, puts forward the privacy protection framework of health big data around the privacy protection needs of various stakeholders in the life cycle of health big data, and combs the privacy protection technology system currently available in the field of health care, In order to provide support for each application link of health big data, a set of health data desensitization method based on XML is studied and designed. This method can dynamically add data desensitization strategy, meet the different needs of hospitals for medical record privacy data protection under different application scenarios, and promote the standardized and orderly development of health big data.
An Interview with Dr. Shipeng Yu, Winner of ACM SIGKDD 2021 Service Award

Shipeng Yu, Ph.D. is the recipient of the 2021 ACM SIGKDD Service Award, which is the highest service award in the field of knowledge discovery and data mining. Conferred annually on one individual or group in recognition of outstanding professional services and contributions to the field of knowledge discovery and data mining, Dr. Yu was honored for his years of service and many accomplishments as general chair of KDD 2017 and currently as sponsorship director for SIGKDD. Dr. Yu is Director of AI Engineering, Head of the Growth AI team at LinkedIn, the world's largest professional network. He sat down with SIGKDD Explorations to discuss how he first got involved in the KDD conference in 2006, the benefits and drawbacks of virtual conferences, his work at LinkedIn, and KDD's place in the field of machine learning, data science and artificial intelligence.
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? • Conference submission management system: IDAS Conference management System • Number of submissions received: 336 • Number of submissions sent for review: 315 • Number of submissions accepted: 189 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 56.25% • Average number of reviews per paper: 2 • Total number of reviewers involved: more than 600 • Any additional info on review process (ie plagiarism check system): We use Turnitin system for plagiarism checking • Contact person for queries: Dimitrios Vlachos Associate Professor, University of Peloponnese Email: dvlachos@uop.gr Tel: +30 6944 371526
Patch size adaptive image inpainting

Texture synthesis technology has the advantages of repairing texture and structure at the same time.However, during the filling process, the size of the patch is fixed, and the content of the filling is not fully considered.In order to be able to adaptively change the patch size, we used the exemplar-based inpainting technique as the test algorithm, considering the image structure and texture, calculated the image structure patch size and texture patch size, and comprehensively determined the image patch size.This can adaptively change the patch size according to the filling content.In addition, we use multi-layer images to calculate the priority, so that the order of image repair was more stable.The proposed repair algorithm is compared with other image repair algorithms.The experimental results showed that the proposed adaptive image repair algorithm can better repair the texture and structure of the image, which proved the effectiveness of the proposed algorithm.
THE MANDARIN ORAL MASTERY PROGRAMME AS PERCEIVED BY NON-NATIVE LEARNERS

Background and Purpose: Pinyin is required in learning Mandarin. The challenge of Romanised Pinyin is that learners must decipher the meaning of words based on the change of tone. Communication research is often conducted without accounting for the effects of the change of tone in learning a language. With the aim of avoiding miscommunication while strengthening awareness, Campus Buddies Programme was employed to provide tone practice for learners and consequently explores the effectiveness of the intervention.&#x0D; &#x0D; Methodology: This quantitative classroom-based research gathered information through the administration of a questionnaire. The questionnaire was distributed to 32 Mandarin Level 1 learners identified through purposive sampling. The students studied five topics from the syllabus. A total of 10 native speakers who scored A in Sijil Pelajaran Malaysia (SPM) mentored the learners during the programme. The participants were instructed to answer both pre- and post-tests. Part A consists of demographic details, whereas Part B focuses on the effectiveness of questions and Part C consists of 30 questions of content learned by the respondents. The data were then analysed using SPSS 26 software.&#x0D; &#x0D; Findings: The respondents demonstrated a positive response towards the programme and suggested further improvement ideas such as prolonging the training session and adding more topics and oral activities. The results implicated the programme as a motivator for oral fluency. Many non-native speakers can benefit from conversation with Mandarin native speakers because it is a strong indicator and sound oral mastery strategy.&#x0D; &#x0D; Contributions: This research provides insights into the effectiveness of the current programme in motivating students’ oral learning. The outcome is essential in determining the Mandarin conversation strategy. More studies adopting different variables are proposed to explore correlations from different perspectives in order to improve students’ oral learning.&#x0D; &#x0D; Keywords: Tonal pronunciation, native speakers, non-native speakers, foreign language instruction, Mandarin conversation.&#x0D; &#x0D; Cite as: Chua, N. A., Soon, G. Y., Ibrahim, M. Y., Che Noh, C. H., Mansor, N. R., Embong Eusoff, A. M., Abdul Rashid, R., &amp; Shen, M. (2022). The Mandarin oral mastery programme as perceived by non-native learners. Journal of Nusantara Studies, 7(1), 1-23. http://dx.doi.org/10.24200/jonus.vol7iss1pp1-23
Prediction of survival of Pinus radiata seedlings subjected to physical-water restriction extreme using learning neural networks

Abstract Drought is one of the main environmental factors that limit plant growth. For this reason, it is necessary to apply nursery cultural practices to produce quality seedlings for successful reforestation in drought- prone sites. In this study, the extreme learning machines and multilayer are applied to predict survival in 5-month-old Pinus radiata seedlings belonging to 98 families of a genetic improvement program and subjected to a period of water restriction in the nursery. After applying the water restriction, survival was registered in each seedling as a categorical variable (1 = alive seedling, 0 = dead seedling). Additionally, the following morphological attributes of each seedling were also measured: total height, root collar diameter, slenderness index, dry weight of needles, stems and roots, total dry weight, and the root to shoot ratio. The extreme learning machines predicted with a better rate the survival of the “alive” class compared to the “dead” class. On the other hand, the multilayer-extreme learning machines improved the precision of survival concerning the class of “dead” seedlings. According to the results of the model, an overall precision of 74% was obtained. This may be due to the great genetic variability presented by each of the Pinus radiata family used in the database. However, this technique allowed predicting the survival of a group of seedlings grown in the nursery, which can be a tool to support the selection process of high quality planting stock.
Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN)

Recently, there have been great advances in many one-stage image inpainting methods. They may have a slight advantage in computation time but lack sufficient context information for inpainting. These inpainting approaches can not inpaint large holes naturalist. This paper proposes a progressive image inpainting algorithm with partial convolution generative networks for solving the above problem. It consists of a generator with partial convolution layers, a fully convolutional discriminative network, and a long short-term memory (LSTM) module. PPCGN has four steps to inpaint the image. Each Step will concentrate on a specific area for inpainting. The final generation results are completed by the cooperation of these four steps, which are connected through the LSTM module. Due to the partial convolution module and LSTM structure characteristics, our method has a good advantage in restoring the images with large holes and achieves better objective results, increasing 1.46 dB and 0.44 dB on the Paris Street View dataset, and CelebA dataset, respectively.
Tata and his Kamakshi Veena

Experimentation in the construction of new musical instruments is a fundamental aspect of human culture. Wherever there are humans, there will be those who strive to create new music with new musical instruments. This chapter deals with the work of an East Indian who is known as Tata, and his Kamakshi Veena. Kamakshi Veena is essentially a piece of bamboo of about two feet in length which is made of three sections (two nodes and the shafts at both ends). The bamboo is cut about four inches above one node and about ten inches below the other node. The ten-inch section is cut longways and carved to make a spike. This spike will pass through the resonator. The four-inch section has four holes burned into it for the two tuning pegs. Tata’s Kamakshi Veena has certain elements of the violin in its construction which stand out from its Indian elements.
Smart Contact Tracing and Classifier System for Covid-19 Cases

The growing shreds of evidence and spread of COVID-19 in recent times have shown that to effortlessly and optimally tackle the rate at which COVID-19 infected individuals affect uninfected individuals has become a pressing challenge. This demands the need for a smart contact tracing method for COVID-19 contact tracing. This paper reviewed and analysed the available contact tracing models, contact tracing applications used by 36 countries, and their underlined classifier systems and techniques being used for COVID-19 contact tracing, machine learning classifier methods and ways in which these classifiers are evaluated. The incremental method was adopted because it results in a step-by-step rule set that continually changes. Three categories of learning classifier systems were also studied and recommended the Smartphone Mobile Bluetooth (BLE) and Michigan learning classifier system because it offers a short-range communication that is available regardless of the operating system and classifies based on set rules quickly and faster.
Blockchain Technology and the Future Development of Cities

Judging from the facts of urban development, I believe that technology is the core element that affects urban development and can promote the continuous evolution of urban development.In recent years, blockchain technology has gradually emerged, and is known as the next generation of disruptive core technology following steam engines, electricity, and the Internet.Therefore, the combination of blockchain technology and the future development of cities is an inevitable trend.With its decentralized, open and transparent, non-tamperable, and smart contract characteristics, it will build a global information chain, establish ownership of property rights, and reduce interaction costs.Institutional innovation and other aspects reflect the impact on the future development of the city, which will bring certain changes to the population, activities, and space of the future development of the city, and it will enter the stage of blockchain city in the future.This article will discuss blockchain technology and future urban development, and will verify the feasibility of blockchain cities.
CYBER SECURITY FOR SMART SYSTEM IN INDUSTRY 4.0

Industry 4.0 represents last generation in terms of production methods and implementation of new technologies in the manufacturing process.In the last decade it has known an immense development that managed to combine very effectively numerous technologies, low cost computing and ever-expanding networking, implemented in the very core of the factory.Because of its necessity of being integrated with other elements that come to complete the business enviroment such as connectivity between devices, analysis or human interaction, it must be taken into consideration all of the aspects that may interfere and alter the entire production process.When it comes to this, concerning that the entire industry is based on electronic or networking devices, they are used by people that need to be careful with the confidentiality of their accounts and passwords, the information circulating on the transmission medium may have a certain level of privacy, cyber security must be treated with greater importance.This paper introduces some elements that come in the composition of the Industy 4.0, benefits of it, and especially concepts of IoT security, security of the transport medium or cloud security and it describes in detail an infrasctructure model that those conceps can be applied on.It represents a portrayal of the central aspects and challenges that a still young industry has to take notice in order that it achieves its true potential.
A Fiber Photon-Pair Source for Enhanced Spectroscopy and Imaging

We generate photon pairs using spontaneous four-wave mixing in a birefringent single-mode fiber. Photon-number correlations reduce noise in the band-edge absorption spectrum of gallium arsenide. We propose the use of such sources in quantum imaging.
IMPACTS OF BRICK UNITS ON GEO-ENVIRONMENT ALONGSIDE THE PRAVARA RIVER, WEST MAHARASHTRA, INDIA USING STATISTICAL TECHNIQUES

An attempt has been made to identify instream brick units and its Geo-environmental impacts on the Pravara river.The main aim of this research work is to analyse Geo-environmental impacts on the Pravara River water, for which water samples from 10 sampling stations within tehsil have been collected during 1st week of Jun 2021.Physico-chemical parameters have been analyzed by standard method.The Field observations reveal that enhancement in population has been observed every year and with population growth brick kilns also increased.It is easy source of money earning specially for rural economy.Many brick kilns are instream for easy availability of soil and water but it declined water quality.Study reveals that in the study area due to instream brick units Water quality has been deteoriated at Kokanevadi, Kasara Dumala (WQI-78.3) and Umbari.Results also shows that at Sangamner, Kokanevadi and Kasara Dumala water is not fit for drinking purpose.To analyze Physio-chemical characteristics of water is the main aim of the research with remedial measures to mitigate the deterioration and related consequences in future.
Chaotic Constellation Masking Encryption Method for Security-enhanced CO-OFDM/OQAM System

In this paper, we propose a Chaotic Constellation Masking (CCM) encryption method based on henon mapping to enhance the security of CO-OFDM/OQAM system. Simulation results indicate the capability of the CCM method improving system security.
A Calibration Method for MEMS Mirror Based Structured Light 3D Modeling System Using Striped Patterns

We report a MEMS mirror based structured light 3D modeling system which can only project striped patterns. A calibration method is proposed for this structured light system. Experiment results demonstrate an accuracy of 0.26 mm was achieved.
CONTEMPORARY JEWELRY DESIGNS WITHIN THE CONCEPT OF SUSTAINABILITY

The negative effects of rapidly changing living standards in the world have become more visible in the last 10 years. The increase in production and consumption, depending on the main factor of the gradual increase in population, has expanded the framework of industrial areas. Increasing waste materials and depleted resources have begun to be dealt with within the waste management discipline. Sustainability is; It is interested in the characteristics of the measures that should be taken in a way that will not reduce the consumption and welfare levels of the people in the future compared to the present. These concepts, which offer positive concrete effects in the life processes of societies, act together; It has produced useful results with reuse, recycling and recovery methods. In this study, the usability of some solid waste materials in contemporary jewelry designs will be discussed in the upcycling process, which is evaluated within the scope of reuse. Since the beginning of the 1990s, pre- and post-production waste controls and recycling studies have been carried out in the jewelry sector, and sensitivity has been started to be increased. Along with the sector, the work carried out by contemporary jewelry designers at the level of global awareness is also geared towards sustainability. The designers preferred to use upcycling as a contribution to waste management -even on a small scale- in the materials, production methods and production stages to be used in their products. This attitude is related to the fact that waste materials evolve into a piece of jewelry other than their original use, and emerge directly as a design product. In addition, it has provided an effective popularity on the society in terms of environmental benefits and artistic features. Keywords: Contemporary, sustainable, waste, jewelry, design
Intelligent Optical Signal Processing for Optical Communications

Machine learning can solve many applications in optical communications, but its benefits are largely validated offline using conventional computers. We will introduce a radically new hardware platform, neuromorphic photonics, for machine learning, and review its applications in different optical communication systems.
SOURCES, MANAGEMENT AND SCIENTIFIC DISSEMINATION: report on the development of a search tool for the Press

This article aims to present a report of the development of the Guia de Fontes @UFPR, a search tool for scientific information created by the Agency School of Public Communication and Scientific and Cultural Dissemination (AE) of the Federal University of Paraná (UFPR). In this context, the paper discusses information and scientific content management from an interdisciplinary point of view and describes the development of the software covering Journalism, Information Management and Computing, areas of knowledge in which the methodological principles of the Guia de Fontes @UFPR are based. In conclusion, the work also presents the results under the Scientific Popularization.
Noise-aware Comparison of Chiplet vs. Monolithic Quantum Computing

We compare chiplet to monolithic quantum computing architectures using a network model that incorporates CX gate and link noise. As chiplets may have better internal gate fidelity, they may outperform monolithic architectures despite reduced connectivity.
Coronary Artery Centerline Refinement Using GCN Trained with Synthetic Data

Coronary artery centerlines extraction from cardiac CT angiography (CCTA) is an important but challenging task. The popular U-net based coronary artery segmentation and thinning approaches rely on large number of labeled data and tend to produce noisy results. We proposed a graph convolutional network (GCN) for refining noisy centerlines outputted by U-net and developed a coronary artery tree synthesis approach for GCN pretraining. Experiments demonstrate that both modules led to improved performance.