Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanism of Internet of Things (IoT) Integrated with Radio Frequency Identification (RFID) Technology for Healthcare System

Radio frequency identification (RFID) technology has already demonstrated its use. RFID is used in many productions for different applications, for example, apparatus chasing, personal and vehicle access panels, logistics, baggage, and safety items in departmental stores. The main benefits of RFID are optimizing resources, quality customer service, improved accuracy, and efficient business and healthcare procedures. In addition, RFID can help to recognize appropriate information and help advance the probability of objects for certain functions. Nevertheless, RFID components need to be studied for use in healthcare. Antennas, tags, and readers are the main components of RFID. The study of these elements provides an understanding of the usage and integration of these components in healthcare environments. The security of the patient is now a global alarm for public health, particularly among older people who need integrated and technologically integrated physiological health monitoring systems to monitor medical needs and manage them. This paper proposes using Internet of Things (IoT) and RFID tags as an effective healthcare monitoring system. In this method, we utilize RFID dual-band protocols that are useful for identifying individual persons and are used to monitor body information using high frequency. The patient’s physiological data are monitored and collected by sensors to recognize the patient, using an RFID tag. The IoT-based RFID healthcare provides the elderly and people with physiological information. The aim is also to secure patient health records using the signing algorithm based on the hyperelliptic curve (HEC) and to provide the physician with access to health information for patients. Furthermore, the confidentiality of the medical records for patients of variable length is provided. The evaluation reveals the algorithm proposed for optimum health care with different genus curves.
Leaf morphological traits as adaptations to multiple climate gradients

Leaf morphological traits vary systematically along climatic gradients. However, recent studies in plant functional ecology have mainly analysed quantitative traits, while numerical models of species distributions and vegetation function have focused on traits associated with resource acquisition; both ignore the wider functional significance of leaf morphology. A dataset comprising 22 leaf morphological traits for 662 woody species from 92 sites, representing all biomes present in China, was subjected to multivariate analysis in order to identify leading dimensions of trait covariation (correspondence analysis), quantify climatic and phylogenetic contributions (canonical correspondence analysis with variation partitioning) and characterise co‐occurring trait syndromes (k‐means clustering) and their climatic preferences. Three axes accounted for >20% of trait variation in both evergreen and deciduous species. Moisture index, precipitation seasonality and growing‐season temperature explained 8%–10% of trait variation; family 15%–32%. Microphyll or larger, mid‐ to dark green leaves with drip tips in wetter climates contrasted with nanophyll or smaller glaucous leaves without drip tips in drier climates. Thick, entire leaves in less seasonal climates contrasted with thin, marginal dissected, aromatic and involute/revolute leaves in more seasonal climates. Thick, involute, hairy leaves in colder climates contrasted with thin leaves with marked surface structures (surface patterning) in warmer climates. Distinctive trait clusters were linked to the driest and most seasonal climates, for example the clustering of picophyll, fleshy and succulent leaves in the driest climates and leptophyll, linear, dissected, revolute or involute and aromatic leaves in regions with highly seasonal rainfall. Several trait clusters co‐occurred in wetter climates, including clusters characterised by microphyll, moderately thick, patent and entire leaves or notophyll, waxy, dark green leaves. Synthesis. The plastic response of size, shape, colour and other leaf morphological traits to climate is muted, thus their apparent shift along climate gradients reflects plant adaptations to environment at a community level as determined by species replacement. Information on leaf morphological traits, widely available in floras, could be used to strengthen predictive models of species distribution and vegetation function.
Synergistically assembled graphene/ZnO composite to enhance anticorrosion performance of waterborne epoxy coatings

In this work, waterborne epoxy resin and graphene/ZnO (Gr/ZnO) were employed as the matrix and nanofiller to construct composite coatings with enhanced anticorrosive performance. The corrosion protection properties of the coatings were significantly improved by the dispersed Gr sheets, as well as the parallelly assembled ZnO nanoparticles. The most remarkable improvement was achieved by adding 0.04 wt% of Gr and 0.4 wt% of ZnO in the Waterborne Epoxy (WEP) coatings, where the highest impedance was 200 530 Ω cm2 on Gr0.04–ZnO0.4, far more than pure epoxy with 6186 Ω cm2 after 7 days of immersion in electrolytes. Furthermore, the Gr0.04–ZnO0.4 coatings and corresponding corrosion products immersed in a 3.5% NaCl solution for 30 days were also characterized, which could further reveal anticorrosion mechanisms of the graphene modified WEP coatings and the passivated effect of ZnO. Through the mechanism analysis, we also found that ZnO could be employed as the barrier reinforcement to improve the dispersibility of graphene in WEP coatings, and the parallel assembly of graphene occurs spontaneously, leading to remarkable improvement of anticorrosion properties.
Progress of machine vision in the detection of cancer cells in histopathology

In recent years, with the rapid development of artificial intelligence, machine vision technology has been widely used in various fields. Traditional cancer detection methods are time-consuming, labor-intensive, and highly dependent on the experience of pathologists; therefore, these methods cannot meet the needs of modern medical treatment. Machine vision overcomes the disadvantages of traditional detection methods in cancer detection and can help pathologists improve the detection accuracy. According to the requirements of medical detection, this review summarizes the applications of machine vision in the detection of cancer cells in histopathological images and analyzes the advantages and disadvantages of existing methods in image preprocessing, segmentation, feature extraction and recognition. Finally, research on the detection methods of histopathological cancer cells is reviewed and prospected, and future development trends are predicted to provide guidance for follow-up research.
Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning

Intelligent traffic light control is one of the modern approaches to solve traffic congestion, where reinforcement learning is a widely used method. Conventionally, reinforcement learning is used to determine whether to change the current phase (or choose a traffic phase) after each small interval. One major drawback of these approaches is that it makes the current traffic light phase duration uncertain before the current phase terminates. Directly determining the duration of the traffic light phase can effectively avoid this shortcoming. An adaptive traffic light timing system is proposed in this paper which can directly control the phase duration. In the proposed system, the Q-learning algorithm is employed and the action space is defined as all possible phase durations. In addition, the reward function is redefined to guide the agent to balance more traffic metrics, and the state is redefined to reduce the state space. Finally, the proposed system is evaluated by equal, unequal, and complex traffic scenarios. Results show that the proposed system has a better performance compared with other methods in controlling traffic lights, even on complex traffic scenarios.
Toward a Significant E-Voting Adoption Model: The Digital Divide

Technology, through internet use, has changed how citizens interact and communicate with their governments. However, in any society, a proportion of people cannot access this type of interaction due to digital divide issues. Consequently, this study developed a model by investigating the impact of digital divide factors on technological system adoption, that is, e-voting, mainly in Jordan, a developing country. The model proposes that four digital divide factors, namely, age, education, income, and internet use, directly influence citizens’ intentions to use an e-voting website. A survey study of 267 Jordanian citizens (and internet users) explored whether the digital divide e-voting adoption model was significant. Analysis of the collected data showed the model’s significance for exploring the digital divide’s impact on citizens’ intentions to use an e-voting website. This study, with its focus on parliamentary elections, is one of the few to examine how the digital divide influences e-voting adoption in the Middle East. Future research will focus on municipality elections.
Evaluation of residual stresses in additively produced thermoelastic cylinder. Part II. Residual stresses

Abstract The time-dependent evolution of self-stressed state in additively produced thermolastic cylinder during the additive process and after its completion is studied. The time-dependent temperature distribution is taken from the solution of heat evolutionary problem, derived in the first part of this work (Part I. Thermal fields). The representations for strains and stresses are obtained analytically in the framework of linear semi-coupled thermoelasticity (theory of thermal stresses). Based on the obtained solutions the numerical analysis for different scenarios of additive processes is carried out. It focuses on the influence of auxiliary high frequency inductive heating on the distributions for internal stresses and shape distortion during the processes and their residual counterparts. It is shown that the use of induction heating makes it possible to halve the maximum stress intensity. The calculations are carried out in the dimensionless form. The dimensionless parameters that are used correspond to Titanium.
Peripheral Blood Levels of Brain-Derived Neurotrophic Factor in Patients with First Episode Psychosis: A Systematic Review and Meta-Analysis

Background: Peripheral blood level of brain-derived neurotrophic factor (BDNF) may be used as a diagnostic and/or prognostic marker for schizophrenia. Previous studies were inconsistent. A systematic review was conducted to examine whether BDNF level is different in patients with first episode psychosis (FEP) compared to health controls (HC) and whether it changes after treatment. Methods: Literature search was done in PubMed, Web of Science, and Google Scholar following standard procedures. Hedges’ g was used as the measure of effect size (ES), which was pooled with random effects model. Publication bias and moderator effects were examined. Results: Search yielded 29 studies with a total sample size of 2912. First meta-analysis included 27 studies with FEP vs. HC comparison. Pooled ES was −0.63, p < 0.001, indicating that BDNF level was lower in FEP than in HC. Studies were heterogeneous, and moderator analysis showed that studies of younger patient, higher symptom severity, and more drug naïve had larger ES. Second meta-analysis examined change in BDNF levels before and after antipsychotic treatment in eight studies. A pooled ES of −0.003 (p = 0.96) showed no change in peripheral BDNF level after treatment. Conclusion: Peripheral BDNF level was decreased in FEP compared to HC, but it did not change after treatment.
Handbook of Research on Didactic Strategies and Technologies for Education: Incorporating Advancements (2 Volumes)

Paolo M. Pumilia-Gnarini graduated in Physics in 1986 from the Milan State University and had advanced courses on physics and computational techniques (NATO/ASI, NATO/MIDIT, and CNRS) during his career as a researcher. He has a long lasting professional experience in setting up and analysing results of large atomic systems numerical simulations matching experimental measurements of nuclear magnetic resonance signals, infrared absorption and raman spectroscopy, and x-ray diffraction patterns. Most studies for Italian Research Institutions (CNR and Montedison) have addressed molecular crystals and biosensors dynamics, while working as consultant for pharmaceutical companies (Farmitalia Carlo-Erba S.r.L, Pharmacia Corporation) and research institutes (Ronzoni, Donegani), focus has been on protein structure and biosensors. He has been teaching mathematics and physics at high school level, while working as a consultant on the use of the ICT in small businesses and for cultural associations interested on the impact of the information technologies on our society. To that aim, in the last decade, as member of the AICA (the oldest cultural association in Italy, to tackle computer science issues at academic and at popular level as well) Paolo M Pumilia has organized and managed workshops and conferences about the open source phenomenon, dealing with the economical, technical, law, and cultural aspects. He has been invited as an expert to the Consultation on ‘Access rights for e-earning content’, at the European Commission. In 2007, he has represented a number of Italian cultural associations at the Beijing Symposium of the International Council for Science CODATA (Committee on Data for Science and Technology). Few years ago, he joined a group of scholars at the Bologna and Padua universities to frame a viable proposal to gradually improve the youth education school system by involving the whole local community in that effort. Paolo M. Pumilia-Gnarini (Independent Researcher, Italy), Elena Favaron (La Scuola che Funziona, Italy), Elena Pacetti (University of Bologna, Italy), Jonathan Bishop (Centre for Research into Online Communities and E-Learning Systems, UK) and Luigi Guerra (University of Bologna, Italy)
Secure and Resilient Software: Requirements, Test Cases, and Testing Methods

Secure and Resilient Software: Requirements, Test Cases, and Testing Methods provides a comprehensive set of requirements for secure and resilient software development and operation. It supplies documented test cases for those requirements as well as best practices for testing nonfunctional requirements for improved information assurance. This resource-rich book includes: Pre-developed nonfunctional requirements that can be reused for any software development project Documented test cases that go along with the requirements and can be used to develop a Test Plan for the software Testing methods that can be applied to the test cases provided A CD with all security requirements and test cases as well as MS Word versions of the checklists, requirements, and test cases covered in the book Offering ground-level, already-developed software nonfunctional requirements and corresponding test cases and methods, this book will help to ensure that your software meets its nonfunctional requirements for security and resilience. The accompanying CD filled with helpful checklists and reusable documentation provides you with the tools needed to integrate security into the requirements analysis, design, and testing phases of your software development lifecycle. Some Praise for the Book: This book pulls together the state of the art in thinking about this important issue in a holistic way with several examples. It takes you through the entire lifecycle from conception to implementation . Doug Cavit, Chief Security Strategist, Microsoft Corporation . provides the reader with the tools necessary to jump-start and mature security within the software development lifecycle (SDLC). Jeff Weekes, Sr. Security Architect at Terra Verde Services.full of useful insights and practical advice from two authors who have lived this process. What you get is a tactical application security roadmap that cuts through the noise and is immediately applicable to your projects. Jeff Williams, Aspect Security CEO and Volunteer Chair of the OWASP Foundation
Almost sure stability of stochastic theta methods with random variable stepsize for stochastic differential equations

In this paper, we use the non-negative discrete semimartingale convergence theorems to study the stochastic theta methods with random stepsizes to reproduce the almost sure stability of the exact solution of stochastic differential equations. Moreover, the choice of the stepsize in each step is based on the stochastic theta methods of random variable stepsize. In numerical experiments, we propose an algorithm that successfully use θ-Maruyama and θ-Milstein methods to simulate the numerical solutions of stochastic differential equations, reproduce the almost sure stability of exact solutions of SDEs and simulate the random variable stepsize in each timestep, and compared with constant stepsizes, random stepsize can speed up the decay process and reduce the iterations greatly.
The Influence of Green and Black Tea Infusion Parameters on Total Polyphenol Content and Antioxidant Activity by ABTS and DPPH Assays

Tea contains about 230 chemical bioactive compounds, of which polyphenols represent the most considerable fraction (30% of total dry weight). These compounds have relevant nutritional and pharmacological effects on human health, exerting antioxidant activities against oxidative stress-induced damage. The industrial processes applied in tea production can lead to qualitative and quantitative changes in the phenolic content and composition and in antioxidant properties, thus influencing their potential biological activities. Meanwhile, the procedure for tea preparation may influence the quantity of the extracted phenolic compounds. In this study, the effects of different infusion parameters, such as the water type used for infusion (tap water, distilled water, and natural mineral water), time (3, 5, and 10 min), temperature (T = 80 °C and 100 °C), and pH (ranged between 3 and 9) were considered. The optimal infusion variables resulting from the study were obtained by extracting phenolic compounds at T = 100 °C for 10 min, both for green (916.12–1169.81 mg GAE/g) and black (932.03–1126.62 mg GAE/g) bagged tea samples, respectively.
Milennial Consumer Behavior Analysis in Using Online Food Delivery Services During Pandemic

The purpose of this study is to see descriptively the characteristics and behavior of millennial consumers related their behavioral intention in using online food delivery (OFD) services during a pandemic. This research is qualitative research with the analytical technique used is descriptive analysis. This study uses primary data obtained through the distribution of questionnaires with a total sample of 218 respondents. Based on the results of descriptive analysis, the majority of consumers use OFD services using the Go Food application. Generally, they use OFD services with an indefinite frequency and depending on their needs also prefer non-cash payment methods via Go Pay or Ovo. In addition, the factors that are considered for millennial consumers in using OFD services include practical and ease of use of applications, providing many benefits, saving time and ordering costs and as a part of non-pharmaceutical intervention to reduce physical contact to avoid from the spreading of the COVID-19 virus. From these factors, the majority of consumers choose ease of use and practicality as factors that are the reasons for consumers to OFD services.
Two spatial types of North China heatwaves and their possible links to Barents‐Kara Sea ice changes

Heatwaves of different spatial types can cause various impacts. Based on the spatial heatwave intensity, 47 North China heatwaves from 1961 to 2019 could be classified into two categories: the S‐type with a centre in the south and the N‐type in the north. There were more N‐type events (36) than the S‐type (11). Observational analysis indicated that under atmospheric circulations favourable to North China heatwaves (e.g. the enhanced continental high), there is a linkage between the sea ice concentration (SIC) changes in the Barents‐Kara Sea (BKS) and these two types of heatwaves. Relative to high BKS SIC, the reduction of SIC would strengthen the cyclonic circulation over the Siberian‐BKS, which could coordinate with the continental high to enhance the cyclonic over the Jianghuai region. A cyclonic‐anticyclonic‐cyclonic pattern is present over the BKS‐North China‐Jianghuai. The cyclonic circulation over the Jianghuai region would push the continental high northerly, resulting in the heatwave centre to the north. It would also cause favourable conditions for precipitation over southern North China, reducing temperatures and raising soil moisture, not conducive to the heatwave. Therefore, the heatwave intensity in southern North China would weaken and the heatwave centre would locate in the north, making the N‐type. Conversely, when the BKS SIC increases, the upper cyclonic over the Siberian‐BKS would not get strengthened, indicating entire North China would be controlled by continental high, and the heatwaves would be southerly relative to the N‐type, namely the S‐type. A series of numerical experiments using NCAR CAM5.3 confirm the above observational results, whereby if the BKS SIC reduces (increases), the North China heatwave is likely to be the N‐type (S‐type).
Synthesis of Substituted Cy5 Phosphoramidite Derivatives and Their Incorporation into Oligonucleotides Using Automated DNA Synthesis

Cyanine dyes represent a family of organic fluorophores with widespread utility in biological-based applications ranging from real-time PCR probes to protein labeling. One burgeoning use currently being explored with indodicarbocyanine (Cy5) in particular is that of accessing exciton delocalization in designer DNA dye aggregate structures for potential development of light-harvesting devices and room-temperature quantum computers. Tuning the hydrophilicity/hydrophobicity of Cy5 dyes in such DNA structures should influence the strength of their excitonic coupling; however, the requisite commercial Cy5 derivatives available for direct incorporation into DNA are nonexistent. Here, we prepare a series of Cy5 derivatives that possess different 5,5′-substituents and detail their incorporation into a set of DNA sequences. In addition to varying dye hydrophobicity/hydrophilicity, the 5,5′-substituents, including hexyloxy, triethyleneglycol monomethyl ether, tert-butyl, and chloro groups were chosen so as to vary the inherent electron-donating/withdrawing character while also tuning their resulting absorption and emission properties. Following the synthesis of parent dyes, one of their pendant alkyl chains was functionalized with a monomethoxytrityl protective group with the remaining hydroxyl-terminated N-propyl linker permitting rapid, same-day phosphoramidite conversion and direct internal DNA incorporation into nascent oligonucleotides with moderate to good yields using a 1 μmole scale automated DNA synthesis. Labeled sequences were cleaved from the controlled pore glass matrix, purified by HPLC, and their photophysical properties were characterized. The DNA-labeled Cy5 derivatives displayed spectroscopic properties that paralleled the parent dyes, with either no change or an increase in fluorescence quantum yield depending upon sequence.