Reviewerly/exHarmony huggingface dataset:
Orizzonti giuridici della dimensione bioetica

SOMMARIO: 1. Dalla bioetica alla biogiuridica. - 2. Etica e diritto. - 3. Profili di diritto ecclesiastico nella dimensione bioetica. - 4. Questioni bioetiche e valori costituzionali.&#x0D; Juridical horizons of the bioethical dimension&#x0D; Abstract: In his broad cultural, legal and academic experience, Giuseppe Dalla Torre has also dealt with issues relating to bioethics and biolaw. His thought contribution on the subject has proved to be of great scientific importance both because from a temporal point of view he was one of the first Italian jurists to take an interest in bioethics; and because he has indicated criteria and solutions that have profoundly crossed the dynamics characterizing the debate and studies of the bioethical phenomenon in Italy. The paper intends to testify to the continuing relevance of the fundamental contents of his teaching in the bioethical sector, highlighting that they have accompanied the evolution of Italian biolaw from the very first steps.
Considerações iniciais para um modelo de comércio p2p de eletricidade gerada a partir de energia solar fotovoltaica baseado na tecnologia blockchain

The article proposed a list and discussion of the aspects that should be considered before implementing Blockchain technology in the renewable energy trade.In the proposed model, electricity is generated by solar energy and uses consumption and production data, among other things, to price electricity in a double auction, in which sellers present their prices and buyers send their bids at the same time.The use of Blockchain technology allows realtime monitoring of consumption and production, and real-time trading where third parties are not needed.It also has the potential to maximize profits from the perspective of prossumidor and minimize electricity losses.Considering Finland, it is already possible to realize that customer segments are delimited in subgroups within cities and requires the involvement of the electricity company, awareness at the state level and inversion in pilot projects.
Application of Artificial Intelligence In Smart City Development

Artificial Intelligence is a technology that has been widely adopted in this 4.0 industrial era. Artificial Intelligence is capable of connecting every device, so that someone can automate all devices without having to be on location. More than that, nowadays there are many machines that can interpret certain conditions or events with the help of Artificial Intelligence. In writing the problems reviewed by this author, the aim is to describe the problem of how to apply Artificial Intelligence in the development of smart cities. The method used in this study is a qualitative approach and literature review in analyzing the application of the Society 5.0 concept to the smart social component. The results produced in the writing of this journal are about several explanations of the application of Artificial Intelligence in the development of smart cities.
Some topological properties of solution sets in partially ordered set optimization

In this paper, we study some topological properties, in particular, arcwise connectedness and connectedness of solution sets in set optimization, where the acting space is equipped with partial set order relations.We obtain continuity, generalized convexity, and natural quasi arcwise connectedness of the nonlinear scalarization function and use them to study some topological properties and convergence of efficient and weak efficient solution sets in partially ordered set optimization.We also employ derived results to vector-valued game theory with uncertainty.
Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

Abstract Retraction: [Inas Ismael Imran, Shymaa Mohammed Jameel, Refed Adnan Jaleel, Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard, IET Software 2023 ( https://doi.org/10.1049/sfw2.12095 )]. The above article from IET Software , published online on 28 January 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor‐in‐Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.
Intervention of gaming learning on immune system: A prerequisites analysis

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Diah Ayu Fatmawati, Murni Ramli, Baskoro Adi Prayitno; Intervention of gaming learning on immune system: A prerequisites analysis. AIP Conference Proceedings 27 January 2023; 2540 (1): 020010. https://doi.org/10.1063/5.0105853 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Improving The Results of Learning Nglegena Javanese Handwriting Using Backpropagation Artificial Neural Network

The Nglagena Javanese script is one of the cultural assets of the Indonesian nation that needs to be preserved. Various efforts have been made to preserve this script, one of which is using information technology as a learning medium for the Nglagena Javanese script. Information Technology allows the Javanese script to be introduced interactively to students. To support this need, one of which is the ability of information technology to classify Javanese script. Classification of Javanese script is carried out using the Backpropagation Artificial Neural Network (BANN) method. Twenty primary Javanese characters are classified as classes using the Backpropagation Artificial Neural Network (BANN) method. The stages of this research are initial processing, feature extraction, model training, and model testing. Initial processing is carried out to prepare image data so that it is ready for the feature extraction process. The feature extraction method is the Histogram Chain Code (HCC) to obtain the main characteristics of each data class or character of the Nglegena Javanese script. This study compares three research models by adjusting the ratio between the training image data and the test image so that the model that produces the highest accuracy value is produced. The model training and testing process uses 2000 image data, with the percentage distribution of training image data and test images, namely 20%, 80%, second 50%, 50%, and third 80%, 20%, resulting in different levels of accuracy. The results are to produce successive accuracy of 66%, 72%, and 88%.
Home-based learning during school closure in Singapore: perceptions from the language classrooms

The outbreak of the COVID-19 pandemic in Singapore has resulted in the adoption of home-based learning (similar to remote or distance learning’ worldwide) due to periodic school closures in Singapore. The media and academia have diverse views on the effectiveness of this alternative mode of education. This study draws data from teachers’ interviews and students’ focus group discussions of an ongoing large-scale baseline study on mother tongue education to reveal teachers’ and students’ perceptions of home-based learning. Findings showed that the participating teachers generally mimicked physical lessons online during home-based learning, and they faced difficulties in monitoring students’ tasks online. Though students enjoyed the freedom of doing their learning tasks at their own pace, they were concerned with the lack of teachers’ support and the social-emotional support from peers. With the feedback and reflections from teachers and students, it was observed that despite the availability of technology and online infrastructure, teachers need readiness for transiting between physical teaching and online instruction, whereas students need readiness for self-directed learning. From students’ feedback, it was also noted that parents need readiness for educational technology and support for their children. To better prepare teachers, students, and parents for home-based learning, it is recommended that the developers provide more dedicated resources that take into consideration the different characteristics (e.g. orthography) of each language subject. Parents should also assume a greater role in monitoring their children’s learning on behalf of the teachers for better effect in home-based learning.
A Deep Learning-Based Innovative Points Extraction Method

Most of the research on mining online reviews now focuses on the influence of reviews on consumers and the issue of sentiment analysis for analyzing consumer reviews, but few studies how to extract innovative ideas for products from review data. To this end, we propose a deep learning-based method to extract sentences with innovative ideas from a large amount of review data. First, we select a product review dataset from the Internet, and use a stacking integrated word embedding method to generate a rich semantic representation of review sentences, and then the resulting representation of each sentence will be feature extraction by a bidirectional gated recurrent unit (BiGRU) model combined with self-attention mechanism, and finally the extracted features are classified into innovative sentences through softmax. The method proposed in this paper can efficiently and accurately extract innovative sentences from class-imbalanced review data, and our proposed method can be applied in most information extraction studies.
Industrial photogrammetry for the optical mechanical truss of the China Survey Space Telescope

Abstract The China Survey Space Telescope is the main observation stage of the Chinese space station, and is the most advanced and expensive observation equipment ever constructed in the Chinese astronomical community. The telescope is composed of multi-stage mirrors, whose relative positions determine the observation accuracy of the telescope, and an optical mechanical truss (OMT) forms the mechanical structure that supports them. This paper presents a deformation measurement scheme for the OMT, and introduces a process of deformation measurement and a data processing method for this OMT using industrial photogrammetry technology. The repeatability and accuracy of the industrial photogrammetry system were tested under ambient conditions, and the length measurement data were compared and verified with interferometry measurements.
TEXT STEGANOGRAPHY USING THE SECOND QUOTIENT REMAINDER THEOREM AND DARK COLOUR SCHEMES

Data communication over the Internet has increased significantly, resulting in high data traffic and concerns over data security. Information sent over the Internet always gets the attention of intruders, which causes the effort to increase the security of sensitive data and the need to prevent leakage. Steganography is one of the techniques to protect the confidentiality of data that can be accomplished by hiding secret information within the medium of text, images, audio, and video. Hiding a secret message using text steganography can be done on character properties such as size, colour, style, etc. Colour- based steganography has always raised suspicions about the generated stego text, which is a major issue in this study. Therefore, the Red, Green, and Blue (RGB) colour technique and the Second Quotient Remainder Theorem (SQRT) were introduced in this study to perform the hiding process. RGB (0,0,0) to RGB (15,15,15) colours were used for the hiding process to avoid colour suspicion. In addition, the pseudorandom number generator (PRNG) was also used to generate dynamic hidden messages with Homophonic table generation. The results showed that the secret message can be represented dynamically and has increased the hiding capacity to 77.4%. Other than that, the selected colour has successfully avoided the suspicion of the generated stego text. Hence, the results suggested that SQRT could be employed as a method in text steganography for securing information.
Preface: 3rd International Conference on Humanities, Management Engineering and Education Technology (HMEET 2022)

Due to recent pandemic, the 2022 3rd International Conference on Humanities, Management Engineering and Education Technology (HMEET 2022) which was planned to be held in Qingdao, China, was held virtually online during November 12-13, 2022. The decision to hold the virtual conference was made in compliance with many restrictions and regulations that were imposed by countries around the globe. Such restrictions were made to minimize the risk of people spreading the COVID-19 through physical contact. There were 70 individuals who attended this online conference, represented many countries.&#x0D; HMEET 2022 provides a forum for accessing to the most up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the fields of humanities, arts, management engineering, electronic commerce, education technology, sustainable development and social science. A key aspect of this conference is the strong mixture of academia and industry. This allows for the free exchange of ideas and challenges faced by these two key stakeholders and encourage future collaboration between members of these groups.&#x0D; The goal of this conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects. HMEET 2022 conference program covered invited, oral, and poster presentations from scientists working in similar areas to establish platforms for collaborative research projects.&#x0D; HMEET Organizing Committee&#x0D; Qingdao, China
Tensor Principal Component Analysis

In this paper, we develop new methods for analyzing high-dimensional tensor datasets. A tensor factor model describes a high-dimensional dataset as a sum of a low-rank component and an idiosyncratic noise, generalizing traditional factor models for panel data. We propose an estimation algorithm, called tensor principal component analysis (PCA), which generalizes the traditional PCA applicable to panel data. The algorithm involves unfolding the tensor into a sequence of matrices along different dimensions and applying PCA to the unfolded matrices. We provide theoretical results on the consistency and asymptotic distribution for tensor PCA estimator of loadings and factors. The algorithm demonstrates good performance in Mote Carlo experiments and is applied to sorted portfolios.
DEVELOPMENT OF WEB APPLICATION USING MODEL VIEW CONTROLLER (MVC) ARCHITECTURE

The web applications have evolved into more advanced systems and their complexity has grown in industry significantly.The MVC implementations are heavily dependent on a specific set of technologies.I propose an implementation of MVC based web application for stores or outlets in more abstract form, in which -I thinkwe will increase the realization of the advanced web applications form, thus lowering the engineering complexities and difficulties of web applications.I believe that this implementation is more applicable in a wider range of environments and technologies, and will uphold the architectural properties like performance and modifiability.Based on this implementation we introduce an MVC based architectural style for web applications.This web application will have a partial impact on industrial production and marketing advance ability in society for users as well as for industry.In future, we expect to improve this further towards supporting Rich Internet Applications involving data analysis and developing machine learning models for growth of industry and to match user criteria.
Comparative study of the phases of ethical hacking and the phases of cyber kill chain

As all the data is accessible online these days, it's accessed by an oversized range of users, a number of them utilize this info to realize information, and a few use it to understand a way to use this info to demolish or purloin knowledge from websites or databases while not the owner information. The planet is facing a brand-new era of cyber-space criminal activity that's being committed worldwide, no matter geographic boundaries. The case has created folks additional ironed to know this trend and consequently varied terminologies for identical. The situation has created individuals additional ironed to know the present trend and, thus, numerous terminologies. This paper has systematically carried out the comparative study of the phases of kill chain analysis and the phases of ethical hacking by systematically analysing each of their phase and aim to know terms like hacking, hackers, moral hacking, moral hacking phases, cyber-attacks, Cyber security, kill chain analysis, and to check the moral hacking phases with the phases of kill chain analysis. Finally, different tools which are used in the phases of the ethical hacking and in the phases of Kill chain analysis.
Analysis on Twitter sentiment tweets

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Manikandan N. K., Manivannan D.; Analysis on Twitter sentiment tweets. AIP Conference Proceedings 30 January 2023; 2523 (1): 020161. https://doi.org/10.1063/5.0112599 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
A design science approach for blockchain technology adoption in the public health sector

Innovating new ways in technology adoption requires profound research in many sectors. We are exploring a new way for technology adoption called the Design Science Research approach, aiming to solve a problem in information systems. In the public health sector, new decentralized technology is essential during the current pandemic scenario. Hence, this research paper makes a Decision Model artifact by the Design Science Research approaches for blockchain technology adoption in the community health sector. Decision Model artefact comprises four steps: Prerequisites, Business Aspects, Technical Aspects, and Design Aspects, concerning decision-making consideration for blockchain technology adoption. Provision of an initial sketch to evaluate the decision model with the aid of quality attributes. Technical and Domain experts in the public health sector can use this decision model artifact for their initial analysis of blockchain technology adoption. It helps them in the reduction of invested time in their pre-research phase of understanding. This paper paves the way to further research on the practical validation of this Decision Model and further enhancements, besides exploring different Design Science Research applications in various sectors.
Multiple Image Watermarking Based on SVD: Improving Capacity and Imperceptibility

Digital watermarking consists of inserting a mark (text, image, sound or video) in a medium. The goal is to be able to identify the author or owner of a digital document by the inserted mark. Watermarking algorithms must find a compromise between capacity and imperceptibility. Capacity represents the amount of data inserted and the imperceptibility makes the mark invisible. Our research is related to images watermarking based on singular value decomposition. There are two main approaches to improving capacity and imperceptibility : dual technique and multiple technique. Most algorithms based on these two approaches have low capacity : the watermarks are generally smaller than the host image. Agarwal & al worked on inserting an image into another image of the same size, imperceptibly. Their method adds the mark in the V matrix of the image after its singular value decomposition. A λ parameter was chosen to specify the power of insertion. Our contribution is to add two images by simultaneously improving capacity and imperceptibility. This new method consists on adding the mark in the 2 matrices U and V after singular value decomposition. The insertion of the first mark is an addition as in Agarwal’s method while that of the second mark is a subtraction to make the watermark less imperceptible. The result shows that our method is robust against different attacks such as compression, noise addition, median filtering and rotation. It is also imperceptible because not only we obtain a PSNR of 27 dB, but the histogram obtained is closer to that of the original image than that of Agarwal. A test on a database of 180 images shows that the marks are still detected. However, despite these advantages, the first mark is less visible and of poor quality compared to the second after their extraction. One solution to this is to increase the value of the parameter λ for the insertion of the first mark.
Research on part-of-speech relationship between English-Chinese translation based on corpus

Based on the self-built English and Chinese translation corpus, this paper compares the differences between Chinese translation and English original texts, including English translation and Chinese original, makes clear the scope of common parts of speech to distinguish the category of text, analyzes and thinks about the differentiation of text language classes and the correlation degree of various language characteristics, and analyzes and studies the verb changes in English and Chinese translation.