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Background The screening of biological hazards, chemical contaminants and allergens in food products is a major concern of food industry since they can cause serious illnesses and even lead to death. Therefore, there is a significant interest in developing low-cost, robust, and rapid detection methods for food safety and quality analysis. Conventional methods provide accurate analytical characteristics, but require well-equipped laboratories, trained personnel, costly reagents, and complicated sample preparation procedures prior to the detection in order to obtain reliable results. Hence, they are not always ideal for on-site food surveillance. Scope and approach This paper discusses the fundamentals of microfluidic paper-based analytical devices (μPADs) and reviews the recent progress in their usage for screening biological hazards, harmful chemical residues, and allergens in food products to systematically evaluate the strengths and weaknesses of this technology. It then covers future trends and useful strategies that could be employed in μPADs design and fabrication procedures to address the critical challenges in equipment-free food analysis. Key findings and conclusions μPADs offer promising avenues to revolutionize food safety and quality analysis with merits of equipment-free sample preparation and detection at low-cost. Despite the advancement in the microfluidic technology, the manufacturing of user-friendly sample-to-answer μPADs still requires intensive research studies to be employed for robust and sensitive food safety and quality analysis.

In this paper, we present a system for automatic evaluation of the quality of a question paper. Question paper plays a major role in educational assessment. The quality of a question paper is crucial to fulfilling the purpose of the assessment. In many education sectors, question papers are prepared manually. A prior analysis of a question paper might help in finding the errors in the question paper, and better achieving the goals of the assessment. In this experiment, we focus on higher education in the technical domain. First, we conducted a student survey to identify the key factors that affect the quality of a question paper. The top factors we identified are question relevance, question difficulty, and time requirement. We explored the strategies to handle these factors and implemented them. We employ various concepts and techniques for the implementation. The system finally assigns a numerical quality score against these factors. The system is evaluated using a set of question papers collected from various sources. The experimental results show that the proposed system is quite promising.

The aim of this review is to introduce the information concerning advanced technology of ink-jet printing regarding characteristics and ink-jet paper. It is believed that ink-jet paper having suitable liquid absorption characteristics and drying techniques are required to improve image quality on high-speed inkjet printing. Although the development of high quality ink-jet paper is important, the demand or the dual-purpose coated paper that can be used with offset and ink-jet printing is expected to increase for the time being. Meanwhile, it is important to get cost down and raise the productivity of the inkjet paper to secure competitiveness comparable to that of offset coated paper. For those objectives we think that the development of new technologies is required for pigment development, composition design of the coating ingredients, and rheological characteristics analysis of coating colors.

Physical paper puppets are inanimate objects, but when we’re speaking in terms of the production of traditional paper cut out animation, they become the actors and the souls that drive the movie. When shooting and animating traditional paper cut out animation, the puppets are laid flat on a surface so they can only move in limited directions compared to conventional 2D or 3D animation. As we know, each character in animated movie has its own personality and unique to each other. The challenge lays in bringing out the characteristics and personality of the character through the limited medium of paper puppet. In this qualitative research, puppet movements will be applied to quadruped cat characters in a public service announcement titled “Spay & Neuter”. The puppet along with the visual design, segmentations, and joints were done in previous research. Qualitative observations and audio-visual materials are used to collect the data for references. Literature review will study the characteristics of cats, body language, behaviour, and principles of animation especially timing and exaggeration. Observation is conducted by studying the movements of real cats from online videos and direct observations and also studying how other animators animate cat characters in animated films. In the exploration stage, paper puppets will be animated according to the movement design while experimenting with the timing and frame rate of the stop motion to achieve the final results.

A good quality control system is important to be implemented to increase productivity and minimize defects in products. One of the quality control methods is failure mode and effect analysis (FMEA). This study uses the FMEA to identify the causes of the defects and recommend the prevention methods to overcome the causes of the defects in an Indonesian paper mill. The risk priority number (RPN) is calculated by multiplying the severity, occurrence, and detection of the failures that have been determined. Unsymmetrical and tainted products are the most dominant defects in the paper mill. An inappropriate machine setting is the cause of unsymmetrical products with the highest RPN of 343. The second highest RPN is problems with bleaching machines that caused tainted products with an RPN value of 216. This study offers suggestions to Indonesian paper mill to prevent and minimize defective products.

Around 60% of the paper worldwide is made from recovered paper. Especially adhesive contaminants, so called stickies, reduce paper quality. To remove stickies but at the same time keep as many valuable fibers as possible, multi-stage screening systems with several interconnected pressure screens are used. When planning such systems, suitable screens have to be selected and their interconnection as well as operational parameters have to be defined considering multiple conflicting objectives. In this contribution, we present a Mixed-Integer Nonlinear Program to optimize system layout, component selection and operation to find a suitable trade-off between output quality and yield.

Creation of new digital technologies let automate the reproduction of text and graphic information, led to the creation and development of the digital printing. Digital printing is a technology for producing prints in the printer based on the original layout, created as corresponding codes with a computer. One of the technologies of digital printing is a computer-to-press and one of the devices in this direction is risograph. The risograph printing quality is worse than offset printing. The text is printing with medium sharpness and images remind photos in old newspapers and require special preparation. But risograph is the most profitable solution for small and medium circulations from 50 up to 1000 sheets. Wide usage of risograph printing in typographies demands increase performance of the equipment with the high print quality of digital images. To improve the quality of risographic printing, the creation of methods is required to form the initial indicators of the original layout (clarity, correct transmission of halftones, contrast). At the same time, the result of obtaining high-quality images obtained by printing on a risograph is affected by surface microgeometry and the physical and mechanical properties of paper. So, the optical density of the ink layer on the print is largely determined by the structure of the sections of paper, in particular, absorbency and porosity. To obtain high-quality images on prints, it is necessary not only to customize the original layout, but also to select paper with such characteristics that would allow you to get the best result when printing on a risograph. Since the risograph occupies an intermediate place in quality between copying equipment and laser printing, a laser print is taken as the standard for print quality. And one of the tasks of the quality of risographic prints is to increase it to the quality of laser printing.

Using similarity software to examine the quality of scientific papers is a nuisance. The significance of a scientific paper should be decided by the acknowledged experts. The practice of using the computer program to decide scientific papers must be rescinded or voided.

Analysis of roll products at the final stage of production is the main stage for identifying defects, disrupted integrity or homogeneity, etc. Paper production is a typical example of such an operation in an industrial setting. It is proposed to use the results of the assessment for opacity, described by several standardized and statistical estimates, as the main characteristic for the quality of paper products. Studies of the dependence of the quality of the paper web on the production conditions and the properties of raw materials produce considerable variance, so that it is impossible to make accurate predictions. For this reason, we used a neural network modeling technology to develop an intelligent system for monitoring the quality of the paper web. Online quality control allows to assess the efficiency of the paper machine and rapidly adjust the manufacturing execution system. Special technologies such as computer vision systems can be introduced for this purpose, making it possible to make a transition from subjective assessment of the structure and defects of the paper web to obtaining objective quantitative estimates of these indicators. We considered a procedure for determining the estimates of structural heterogeneity of the paper web at the final stage of its production. We suggest to expand the classification of finished product samples by using neural fuzzy interpolation of linguistic values of such indicators. The approach introduced is aimed at improving the efficiency of the production process.

The industry of disposables has undergone a huge revolution in this century owing to the busy lifestyles and technological advancements in its production and manufacturing process. Paper cups are one of the widely used products in disposable industry. It has multi utility options that is it can be used to drink water as well as beverages, soups, liquids etc. This paper entirely focuses on increasing the quality factor of production and manufacturing process of these paper cups by adding additional circuitry to the existing machinery to reduce waste of raw materials as well as the per unit cost involved in wastage of electricity. This research work is based on using proximity sensors to sense the materials and molded paper cups infront of machinery and reduce the electric wastage through a relay Mechanism assembly. This is a PLC based live project example of effectively increasing the overall efficiency of the manufacturing plant

Paper aims This study identifies fundamental characteristics for developing a paper-based thesis (PBT), providing some recommendations to researchers who decide for this academic research report. Originality This paper contributes to the literature by providing guidance to develop PBTs, which has been attracting researchers' interest because it demonstrates publication capacity and potential as a researcher. Additionally, it is still not entirely clear which issues and countermeasures researchers should address when choosing the paper-based structure. Research method The authors searched for articles of PBTs already published, institutional documents (e.g., regulations for conducting PBTs in Brazil and abroad) and journal papers concerning this subject. A content and document analysis were conducted in the papers and PBT internal regulations, respectively. Main findings Results indicate five main factors that impact the success of a PBT approach: (i) the initial planning for this academic model; (ii) alignment between the articles and the thesis/dissertation; (iii) research design construction; (iv) copyrights requirements; and (v) issues regarding co-authorship. Based on that, the study also builds some guidelines to structure a robust PBT. Implications for theory and practice Our recommendations might be meaningful to scholars and researchers bring more theoretical, empirical, and structural robustness when developing a PBT final document.

In the modern society, it is surprising to know that criminals are well equipped with novel technological facilities and they have adopted numerous methodological ways for conducting highly organized crime. Due to the immense advancement in Science and Technology, criminals are being quicker in exploiting sophisticated scientific technology for criminal activities and desires to commit crime. Hence the more complex criminal cases are gradually increasing in number and are becoming a major challenge for forensic document experts relating with paper and ink examination, such as paper analysis for differentiating between forged and originality, ascertain authenticity of paper document, its identification, relative age of documents and document dating. The present write-up is an attempt to describe overall approach in forensic examination of paper for distinguishing between two or more sets of paper. Chemical and physical analysis of paper by using appropriate scientific method provides valuable information regarding the details of the document. However application of advanced sophisticated techniques and appropriate scientific methods for reliable results without destruction of the original documents are the prime requirements of the forensic document expert and investigating agencies. Keywords: Document examination, Paper differentiation.

Analytical strategies to ensure the quality and safety of food products without the need for skilled personnel are highly required. The simplicity of glucose strips for diabetes monitoring should be translated to the agri-food sector, ensuring easy evaluation of certain molecules and/or the freshness of a beverage/foodstuff. In addition to the well-known advantages that are characteristic of electroanalytical methods over other methods, paper-based materials are being used to further reduce the gap between complex laboratory testing and simple point-of-need testing. This article highlights some of the most recent advances in the development of paper-based electrochemical approaches for food surveillance, specifically focusing on the use of novel paper-based materials. Two examples are discussed: the development of a miniaturized biosensor realized on copy paper for the quantification of ethanol in commercial beers, and the measurement of ascorbic acid in food supplements within printed electronics supports. Paper-based materials have the potential to lower economic costs, simplify the operative tasks, and most importantly reduce waste generation. The continued combination of manufacturing methods and functional (smart) materials will facilitate the implementation of food analysis at the point of need.

The volume of research articles in digital repositories is increasing. This spectacular growth of repositories makes it rather difficult for researchers to obtain related research papers in response to their queries. The problem becomes worse when a researcher with insufficient knowledge of searching research articles uses these repositories. In the traditional recommendation approaches, the results of the query miss many high-quality papers, in the related work section, which are either published recently or have low citation count. To overcome this problem, there needs to be a solution which considers not only structural relationships between the papers but also inspects the quality of authors publishing those articles. Many research paper recommendation approaches have been implemented which includes collaborative filtering-based, content-based, and citation analysis-based techniques. The collaborative filtering-based approaches primarily use paper-citation matrix for recommendations, whereas the content-based approaches only consider the content of the paper. The citation analysis considers the structure of the network and focuses on papers citing or cited by the paper of interest. It is therefore very difficult for a recommender system to recommend high-quality papers without a hybrid approach that incorporates multiple features, such as citation information and author information. The proposed method creates a multilevel citation and relationship network of authors in which the citation network uses the structural relationship between the papers to extract significant papers, and authors' collaboration network finds key authors from those papers. The papers selected by this hybrid approach are then recommended to the user. The results have shown that our proposed method performs exceedingly well as compared with the state-of-the-art existing systems, such as Google scholar and multilevel simultaneous citation network.

Whiteness is one of the most important characteristics of a printing paper. There is a stable relationship between the printed and optical properties of the paper. At the same time, the understanding of whiteness in the papermaking and printing industries is significantly different. Such miscommunication negatively affects the quality of printed products, since the choice of a suitable paper (or cardboard) is difficult to a certain extent. One of the ways to get out of this situation is to create a simple and clear computational model of the white paper, which would not depend on any physical standards. The model would help when conducting the input control in printing plants and would allow one to establish communication between industries. This work is devoted to the description of such a model. © 2020 American Institute of Physics Inc.. All rights reserved.

Paper writing with the existing writing format causing excessive paper usage. Excessive paper usage could lead to environmental destruction. Therefore, it is necessary to find an alternative in the writing procedure by doing an experimental design based on student reading comprehensive. This study uses Completely Randomized Factorial Experimental Design. After analysis of variance and the multiple comparisons test done, it results a new writing format alternative that use less paper than the existing writing procedure. In other hand, it results greater student reading comprehensive than the existing writing procedure. With the results, the application of the alternative procedure can save the paper usage and make student easier to understand the paper .

This paper describes approaches to the use of wearables and related monitoring and diagnostic tools to glean and present data to patients and their caregivers in the form of Personal Health Dashboard. Raw data from devices such as fitness watches, blood glucose and blood pressure monitors can be analyzed by machine learning algorithms ensembles over the cloud or at the edge, and the resulting patterns can be presented to allow for actionable responses. The advent of low-cost computational, sensing, monitoring and diagnostic tools allow for cost-effective solutions that can have wide adaptability. The paper draws from prior and ongoing research conducted by the team to present these positions in the advancement of healthcare.

PurposeThis position paper urges a drive towards clarity in the key definitions, terminologies and habits of speech associated with digital engineering and building information modelling (BIM). The ultimate goal of the paper is to facilitate the move towards arriving at an ideal definition for both concepts.Design/methodology/approachThis paper takes the “explanation building” review approach in providing prescriptive guidelines to researchers and industry practitioners. The aim of the review is to draw upon existing studies to identify, describe and find application of principles in a real-world context.FindingsThe paper highlights the definitional challenges surrounding digital engineering and BIM in Australia, to evoke a debate on BIM and digital engineering boundaries, how and why these two concepts may be linked, and how they relate to emerging concepts.Originality/valueThis is the first scholarly attempt to clarify the definition of digital engineering and address the confusion between the concepts of BIM and digital engineering.

Nowadays, the net plays an important role in people’s life. In the process of the improvement of the public’s living standards, public’s demands of the life’s quality and efficiency is higher, the traditional bookstores inconvenience gradually emerged, and the online bookstore has gradually been used in public. The online bookstore is a revolt in book industry. The old-style bookstores operative time, addresses and places are so much restricted, so the types of novels and books to be find found a degree of constraint. But the online bookstore ruined the management mode of outdated bookstore, as long as you have a computer, you can buy the book from anywhere, saving time and efforts, shortening the time of book selection link efficiently. The online bookstore system based on the standard of provides suitability and facility to people out there. How to cite this article:Chaudhary N, PathakS, Shivani et al. IEEE Paper Based on E-Novels. J Adv Res Embed Sys 2020; 7(1): 8-10. DOI: https://doi.org/10.24321/2395.3802.202002

Electryo is a paper-based voting protocol that implements the Selene mechanism for individual verifiability. This short paper aims to provide the first formal model of Electryo, with security proofs for vote-privacy and individual verifiability. In general, voting protocols are complex constructs, involving advanced cryptographic primitives and strong security guarantees, posing a serious challenge when wanting to analyse and prove security with formal verification tools. Here we choose to use the \({{\,\mathrm{\textsc {Tamarin}}\,}}\) prover since it is one of the more advanced tools and is able to handle many of the primitives we encounter in the design and analysis of voting protocols.

The greatest challenge for European drug policies is how to effectively respond to the dynamic and constantly changing market for new psychoactive substances (NPS). Even small modifications in the chemical structure of substances often allow circumventing existing laws. Also in prison, the consumption of NPS is rising and there is growing evidence that NPS are responsible for a large share of drug-related problems. Ion mobility spectrometry (IMS) is the technique of choice for trace analysis of illicit drugs or explosives at security points, for example airports. Currently, databases of the reduced mobility (K0 ) values are limited to classical drugs and should be completed with data of emerging NPS. In this article, K0 values, LODs (0.7-3.6 ng) and drift times of 25 synthetic cannabinoids were evaluated. The data were added to existing databases of IMS which were then applied for fast screening in prison. The detection capability of the portable IMS technique was evaluated by the determination of intra-day (0.089%) and inter-day precision (0.004% to 0.14%), systematic error (0.19%), and separation capability for structurally related NPS. The applicability of the methodology was demonstrated by the successful analysis of 12 different pieces of paper impregnated with synthetic cannabinoids, 7 different cosmetics, and 5 food samples (liquids), spiked with a mixture of narcotic drugs and a synthetic cannabinoid. In addition, 14 herbal mixtures and 36 different casework samples from prisons were analyzed provided by the State Office of Criminal Investigation Rhineland-Palatinate (Germany).

Success management can bring valuable contributions to improve project results and stakeholders’ relationships. However, the success management process must be explicitly integrated into project management approaches, guides and methodologies (such as PMBOK, PRINCE2 or PM2), which is not currently happening. The purpose of this position paper is to discuss the need and importance for this integration and to present a first proposal on how this can be operationalized. To support the position, the methodology of the European Union PM2 was used. The result of the integration demonstrates that it is possible to advance management and raise the level of project success.

PurposeSynergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.Design/methodology/approachThe synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.FindingsThe findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.Originality/valueIn a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

The economy of the paper industry largely depends on the quality of the paper manufactured and the quality depends on the precise operation of Headbox, which is the key element of the paper machine and is highly responsible for the quality of the paper manufactured. Being a nonlinear multivariable system, a headbox needs to be controlled efficiently to have the desired response which in turn reflects in the quality of the paper. The headbox is subjected to various disturbances and thus it is required not only to suppress the effect of disturbances but also to ensure the smooth start of the headbox and fast response to the set-point changes. A control technique is proposed in this paper for a paper machine headbox based on the determination of ultimate gain and frequency using the fractional-order integrator (FOI). The PID tuning technique proposed has been applied on paper machine headbox and the responses are compared with the existing techniques.

Using a new opinion dynamics using the polarity analysis of measured data of Twitter about "toilet paper" and "COVID-19", we analyzed the chain of fear that people feel for the rumor of lack of toilet paper and COVID-19 itself. We use opinion dynamics for the analysis of the fears, and we obtain the opinion distribution of the fear calculated using the opinion dynamics and the observed distribution. By comparing the two distribution, we found that the opinion distribution for the fear is consisted with the mixture of trust and distrust.

At present, the tissue paper manufacturing is mostly based on the dry crepe technology. During the last decade, the manufacturers have introduced new tissue machines concepts that increase the softness, bulk, and absorption capacity. Such machines produce a strong regular three-dimensional (3D) structure to the sheet before the Yankee cylinder. At present, the quality of the 3D structure is not evaluated, or it is evaluated only subjectively at the mill. This is mostly because of the difficulties to separate reliably the regular 3D pattern from other variations. This paper introduces a frequency analysis based method which separates the surface profile variances in tissue paper to the creping, to the regular 3D pattern and to the residual variation. The 3D surface profiles and their variances were determined online with the photometric stereo method. We show that the introduced analysis method evaluates the variance portions reliably and the results are consistent with the visual perception of the 3D surfaces. In one particular product, the regular 3D pattern explains 74 % of total surface variance; the creping explains 10 % and residual variations 16 %. Furthermore, the creping and residual variances are quite stable over time whereas the variance of the regular 3D pattern fluctuates significantly.

Cognitive modeling involves the creation of computer simulations that emulate the internal processes of the mind. This set of papers are the five best representatives of the papers presented at the 17th International Conference on Cognitive Modeling, ICCM 2019. While they represent a diversity of techniques and tasks, they all also share a striking similarity: They make strong statements about the importance of accounting for individual differences.

This paper presents the main disadvantages of receipts printed on thermal paper, underlining the impact that BPA (component of thermal paper) has on the environment and human health. The conceptual solution proposes to use the near-field communication (NFC) protocol available in smartphones, integrating a virtual receipt printing device (called e-receipt) at the end of the contactless payment chain.

Scientific journals are the main form of recording and disseminating results of scientific research. After the advancement of digital media, their search, access, and navigation became easier and faster. This changes the way readers interact with the content. In this sense, the configuration of typography, an essential component of text-based publications, should facilitate the reading and understanding of the information presented. Thus, this research aimed to formalize an analysis process for the application of typography in papers on electronic scientific journals. Based on the literature review, an analysis structure was formulated. The analysis identified the fundamental principles of application of typography as: legibility, readability, spacing and font size and information hierarchy. Subsequently, four electronic papers from Brazilian scientific journals with different areas of knowledge were selected as objects of study. As a result, a potential application of typography for digital media was identified, but this potential is not fully explored by the editors of scientific journals nor by the literature dealing with the topic.

Prologue: This paper is written after numerous focus-group meetings with several types of people/experts of many genders. Statements given under are not meant to be insulting any gender, but these are focus-group observations. If you do not like any such statements, we are sorry in that you have missed the points we are trying to convey. This paper addresses various perceptions on genders that concerns abstract entities such as various disciplines of studies. This paper defines genders for disciplines through historical biases and perceptions – e.g., birth, religion, language, region, brought up, to say a few; these were obtained thru’ several focus-group discussions. However, technologies, such as computers, the World Wide Web (WWW), Moodle, sensor networks, Internet of Things (IoT), Virtualization and Immersion technologies are constantly changing the nature of education and learning. As a consequence, and through a series of arguments, we establish that the genders of many popular disciplines are becoming feminine in nature. We also define two terms, namely, Gender Capital and Gender Capitalization, through which respectively one could possibly define and analyze ways and means by which the changing nature of genders of disciplines can be profitably exploited for the global goodness.

The increasing presence of e-books (electronic books) has become a major focus in countries around the world. In the United States, e-books represented 28% of the total book sales for 2012. In Japan, the conversion from paper books to e-books is expected to accelerate by the prevalent use of smartphones and tablet PCs. It is therefore important to quantitatively evaluate the environmental load of paper books and e-books for a sustainable society. In this study, paper books are compared to e-books read on different electronic devices (e-ink tablets, tablets, cell phones, smartphones, laptop computers, desktop computers and portable music players) through a case study on a 224-page book. The study is based on key primary data such as use time and reading speed for each device and aims to minimize assumptions made in other studies. GHG emissions for paper books are 1.24 kg-CO2e/book, and are reduced to 1.11 kg-CO2e/book when the effect of paper recycling is taken into consideration. The results for e-books under average use-time conditions range from 0.25 to 0.91 kg-CO2e/book with the e-ink tablet having the lowest emissions. When the average use time of each e-book device is applied, the paper book has a higher impact than all the e-books. However, sensitivity analysis shows that the impact of paper books can be lower than that of e-books for larger screen devices such as tablets, laptops and desktops when the reuse of books is considered or the e-book reading device is hardly used during its life cycle.

With the rapid growth of scientific publications, research paper recommendation which suggests relevant research papers to users can bring great benefits to researchers. In this paper, we focus on the problem of recommending conference papers to the conference attendees. While most of the related existing methods depend on the content-based filtering, we propose a unified conference paper recommendation method named $CPRec$ , which exploits both the contents and the authorship information of the papers. In particular, besides the contents, we exploit the relationships between a user and the authors of a paper for recommendation. In our method, we extract several features for a user-paper pair from the citation network, the coauthor network, and the contents, respectively. In addition, we derive a user’s pairwise preference towards the conference papers from the user’s bookmarked papers in each conference. Furthermore, we employ a pairwise learning to rank model which exploits the pairwise user preference to learn a function that predicts a user’s preference towards a paper based on the extracted features. We conduct a recommendation performance evaluation using real-world data and the experimental results demonstrate the effectiveness of our proposed method.

Text representation is the preliminary work for in-depth analysis and mining of information in scientific papers. It directly affects the effects of downstream tasks such as, scientific papers classification, clustering, and similarity calculation. However, recent researches mainly considered citation network and partial structural information, which is insufficient when representing scientific papers. Therefore, in order to improve the performance of text representation model, this paper proposed MV-HATrans, a text representation model that combines multi-viewpoint information, such as the semantic information of knowledge graph and structural information. This model extracts word information from three aspects, including contextual content, part of speech, and word meaning of WordNet. Based on combination of hierarchical attention mechanism and transformer, the model achieves the full text representation of scientific papers. Finally, this paper uses the binary experimental dataset AAPR, which indicates whether scientific papers are accepted or not, and applies the proposed model of text representation to achieve the goal of automatic quality assessment. Results show that in the quality classification of scientific papers, adopting part-of-speech information and semantic information based on WordNet definitions can effectively achieve the accuracy of prediction as 70.14%. Among all the structural modules, authors and abstracts contributes the most to the quality classification of scientific papers, especially authors as 9.51%.

This paper describes how an anatomy and physiology laboratory class transitioned from a paper-based lab to an online learning platform that updated the curriculum to rely more on face-to-face small group collaboration and peer teaching. Student perceptions of the new format were positive, but halfway through the transition a global pandemic challenged the new instruction method. The face-to-face curriculum had to be adjusted to a virtual format that lacked in-person interaction between the instructor and the students. This switch to virtual labs had an adverse effect on both student perception and student performance in the second half of the semester. Our observations underscore the importance of creating an interactive community when teaching virtually.

In any instructive field educational programs, the courses are characterized with learning goals. It is exceptionally challenging for the instructors to create Question Papers with changed questions. There's no standardizing strategy to guarantee quality of question paper. Consequently, there arises a have to be have a framework which can consequently produce it from we entered information inside few seconds. It’s basic to specify tests and exams, it plans understudies in their journey for information, so having a legitimate examination paper & organize is essential. Now the traditional strategy of producing address paper has been manual and it is exceptionally time and cost expending to diminish these things we developed this framework which is able make the programmed address paper and this it can be valuable to numerous instructive establishing.

Purpose The rapid spread and severity of the coronavirus (COVID-19) virus have prompted a spate of scholarly research that deals with the pandemic. The purpose of this study is to measure and assess the coverage of COVID-19 research on social media and the engagement of readers with COVID-19 research on social media outlets. Design/methodology/approach An altmetric analysis was carried out in three phases. The first focused on retrieving all papers related to COVID-19. Phase two of the research aimed to measure the presence of the retrieved papers on social media using altmetric application programming interface (API). The third phase aimed to measure Mendeley readership categories using Mendeley API to extract data of readership from Mendeley for each paper. Findings The study suggests that while social media platforms do not give accurate measures of the impact as given by citations, they can be used to portray the social impact of the scholarly outputs and indicate the effectiveness of COVID-19 research. The results confirm a positive correlation between the number of citations to articles in databases such as Scopus and the number of views on social media sites such as Mendeley and Twitter. The results of the current study indicated that social media could serve as an indicator of the number of citations of scientific articles. Research limitations/implications This study’s limitation is that the studied articles’ altmetrics performance was examined using only one of the altmetrics data service providers (altmetrics database). Hence, future research should explore altmetrics on the topic using more than one platform. Another limitation of the current research is that it did not explore the academic social media role in spreading fake information as the scope was limited to scholarly outputs on social media. The practical contribution of the current research is that it informs scholars about the impact of social media platforms on the spread and visibility of COVID-19 research. Also, it can help researchers better understand the importance of published COVID-19 research using social media. Originality/value This paper provides insight into the impact of COVID-19 research on social media. The paper helps to provide an understanding of how people engage with health research using altmetrics scores, which can be used as indicators of research performance.

The EU White Paper on AI mentions healthcare as one of the sectors where AI applications might pose high risks. These comments provide the vision on the regulatory framework for high-risk healthcare AI applications. The key takeaways concern transparency, preventing bias, safety and quality of AI applications used for medical purposes. I suggest that the transparency of AI shall not be equated to its explainability. To increase transparency and ensure the safety of AI healthcare applications, cooperation between manufacturers and users of AI (healthcare providers) shall be improved. I highlight that biased AI decisions alert on the inaccuracy of algorithms. While discrimination and stigmatization are difficult to identify and prove, especially for AI and especially for healthcare, controlling of AI’s accuracy is an efficient tool to prevent and mitigate biases in AI systems. Finally, I briefly compare the two regulations that might apply to AI tools in healthcare - the Medical Devices Regulation (EU) 2017/745 (MDR) and the In-vitro Diagnostic Medical Devices Regulation (EU) 2017/746 (IVDR). I conclude that the IVDR is more tailored to AI characteristics while it is more detailed and more focused on data quality and relevance. Thus, the IVDR rules can be a good starting point for clarifying and implementing a regulatory framework for high-risk AI healthcare applications.

Students are increasingly connected to an online world. As such, they expect their university learning experience to emulate their everyday online experiences. Until recently, however, traditional university teaching has tended to focus on 'knowledge transfer'. In order to reengage with students, many universities are providing online tools and courses. But, not all topics are suitable for online learning. Some topics still require hands-on experience - especially where the outcome is targeted to the manufacturing industry. The 3D printer is a teaching tool that benefits from both hands-on and online support. Moreover, it can be used to help reengage students disaffected by traditional teaching methods and as a tool for transitioning to more online teaching methods. This paper outlines how the 3D printer is being used in university classrooms to supplement online teaching which is career focussed.

This study explored the relationship between syntactic complexity and rhetorical functions and the relationship between syntactic complexity and level of move/step realization in learner-generated research paper introductions. We created a corpus of 79 introductions written by undergraduate L2 students at intermediate to high-intermediate levels. We annotated the introductions for moves and steps, measured their syntactic complexity at the global, clausal, and phrasal levels, and rated their level of move/step realization across four levels (no, low, intermediate, and high). We conducted one-way MANOVA, one-way ANOVA, Pearson correlation, and stepwise multiple linear regression analyses. We found sentences realizing Reviewing items of previous research function to be significantly longer than other steps in Move1 and to contain significantly more clausal and phrasal complexity features. Sentences performing Claiming centrality function also demonstrated significantly more phrasal complexity features as measured by complex nominals per clause. We also found a higher level of phrasal complexity in introductions with a higher level of move/step realization, which can be attributed to introductions including Step1 and Step3, rather than containing all steps. Our findings imply that there is value in developing explicit instructions on how to use complex structures in performing rhetorical steps in research paper introductions. © 2021 Elsevier Ltd

The detection of DNA from a biological target is becoming a powerful tool for several applications. In particular, the development of approaches for fast and sensitive identification of genomic footprints in open-field or POCT contexts would have a tremendous impact on the identification of fraudulent or pathogenic contaminations.

One of the software for compiling a bibliography automatically can take advantage of the facilities of the Mendeley Desktop application. Mendeley Desktop is a reference management software that helps organize scientific articles, namely in creating citations and bibliography. With this software, writers can manage reading sources that are used as references in compiling their writings. The use of Mendeley Desktop can also be integrated with Microsoft Word, so it can be more easily for writers for each scientific paper. The purpose of holding this training activity is to help the teachers of SMP Swasta Gita Surya Eban in order to utilize of the facilities provided by the software and the citations and references on the Mendeley Desktop so that scientific writing can be done more easily, quickly, and efficiently. From the training results, it was found that the training carried out could add knowledge and solutions to the use of Mendeley Desktop with the evaluation results increase significantly. The writers hope that by holding this training, teachers at SMP Swasta Gita Surya Eban can apply the citation / reference software from Mendeley Desktop in writing scientific papers.

Introduction:Without a robust evidence base to support recommendations for first aid, health, and medical services at mass gatherings (MGs), levels of care will continue to vary. Streamlining and standardizing post-event reporting for MG medical services could improve inter-event comparability, and prospectively influence event safety and planning through the application of a research template, thereby supporting and promoting growth of the evidence base and the operational safety of this discipline. Understanding the relationships between categories of variables is key. The present paper is focused on theory building, providing an evolving conceptual model, laying the groundwork for exploring the relationships between categories of variables pertaining the health outcomes of MGs.Methods:A content analysis of 54 published post-event medical case reports, including a comparison of the features of published data models for MG health outcomes.Findings:A layered model of essential conceptual components for post-event medical reporting is presented as the Data Reporting, Evaluation, & Analysis for Mass-Gathering Medicine (DREAM) model. This model is relational and embeds data domains, organized operationally, into “inputs,” “modifiers,” “actuals,” and “outputs” and organized temporally into pre-, during, post-event, and reporting phases.Discussion:Situating the DREAM model in relation to existing models for data collection vis a vis health outcomes, the authors provide a detailed discussion on similarities and points of difference.Conclusion:Currently, data collection and analysis related to understanding health outcomes arising from MGs is not informed by robust conceptual models. This paper is part of a series of nested papers focused on the future state of post-event medical reporting.

The purpose of this paper is to introduce the brand of “gumuge” mangtuan paper. The purpose of this research is to focus on the inheritance and development of mangtuan paper, and actively treat this ancient technology from the perspective of protection and rescue, so as to promote and expand it in the process of civilization in the new century. The research method is to integrate the characteristics of traditional handmade process into the design concept in detail, combine the production process of mangtuan paper with the local national culture, and design and create the brand image and logo of gumuge mangtuan paper. The logo is composed of a variety of design elements, which comes from the patterns, colors and artistic forms of the ethnic minorities in mangtuan village, making the national craft brand concrete. The next step is to carry out VI creative design for the brand image and extend a series of derivatives to promote consumers’ understanding of ancient crafts in various ways.

I will comment on the comments by the groups of three reviewers separately. First of all, I will thank all three groups providing a first round of reports in order for me to get rid of obvious mistakes. In the second round the reviewers were free to comment on the qualities of my revised version. I am not to change my revised paper when giving my comments on what would be honest reports on the quality of my final version. However, the reviewers will not have a go at my rejoinders to comments according to the symposium rules. I keep the section numbering of the authors in order to make it easier to identify the arguments.

The application of big data in health care is a fast-growing field, with many discoveries and methodologies published in the last five years. Big data refers to datasets that are not only big but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Moreover, medical data is one of the most growing data, as it is obtained from Electronic Health Records (EHRs) or patients themselves. Due to the rapid growth of such medical data, we need to provide suitable tools and techniques in order to handle and extract value and knowledge from these datasets to improve the quality of patient care and reduces healthcare costs. Furthermore, such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper presents an overview of big data content, sources, technologies, tools, and challenges in health care. It also intends to identify the strategies to overcome the challenges.

Our proposed method focuses on offline friends who are acquainted with a target user in the real world. We use Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to distinguish between online friends of a target user who are also offline friends and online friends who are acquainted with the target user only in cyberspace. By utilizing the probability of friendship as a function of the geographical distance between users’ home locations, our proposed method achieves an estimation accuracy 1.7 percentage point better than that of a conventional method. We have also been able to verify the effectiveness of an optimization method that narrows down candidate areas for a target user’s home location.

Touch screen tablets are being increasingly used in schools for learning and assessment. However, the validity and reliability of assessments delivered via tablets are largely unknown. The present ...