Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficacy of Different Fluoride Varnish Types in PediatricDentistry: Current Evidence: Review Article

Fluoride varnish (FV) acts as a caries-inhibitory agent. The evidence from the available literature supports that if FV applied 2 4 times annually might effectively prevent dental caries in both primary and permanent dentitions. Moreover, the efficacy of FV is well supported by the literature in clinical practice guidelines worldwide; however, the implementation of FV in routine practice is still a debatable issue. The objective of this review was to compare the different types of Fluoride varnish in caries management of primary dentitions. FV should be applied in routine clinical practice. Novel FV with different composition has been introduced. Moreover, further prospective clinical trials are required to improve the quality of incidence.
Link Predictions in an Online Health Community for Smoking Cessation

Effective link predictions in online social networks can help to improve user experience and engagement, which are often associated with better health outcomes for users of online health communities (OHCs). However, limited attention has been paid to predicting social network links in OHCs. This paper explores link predictions in an OHC for smoking cessation by considering it as a multi-relational social network that incorporates multiple types of social relationships. We demonstrate that leveraging information from multiple networks built based on different types of relationships is superior to using only information from a single network or the aggregated network. In addition, adding community structures and nodal similarities based on network embedding can help link predictions in different ways. Our work has implications for the design and management of a successful online health community.
Vertical Restraints and Reputation of Networks: Evidence from Franchising

The present article relies on agency theoretical arguments. It deals with potential free-riding at the downstream level in franchise networks. This behaviour is problematic for the upstream unit because it erodes the reputation of the chain. We study how the potential franchisees opportunism affects the structure of contracts, more precisely, the intensity of vertical restraints. The estimations come from a multisector French data base. The results are generally consistent with the analytical framework, but prove strongly contrasted depending on the provision studied. They also suggest that concerning the design of contracts between a producer and his distributors, agency costs are just one part of the explanation.
Special Submission GUIDELINES FOR LIMITING EXPOSURE TO ELECTROMAGNETIC FIELDS ( 100 kHz to 300 GHz ) International Commission on Non-Ionizing Radiation Protection ( ICNIRP )

Radiofrequency electromagnetic fields (EMFs) are used to enable a number of modern devices, including mobile telecommunications infrastructure and phones, Wi-Fi, and Bluetooth. As radiofrequency EMFs at sufficiently high power levels can adversely affect health, ICNIRP published Guidelines in 1998 for human exposure to time-varying EMFs up to 300 GHz, which included the radiofrequency EMF spectrum. Since that time, there has been a considerable body of science further addressing the relation between radiofrequency EMFs and adverse health outcomes, as well as significant developments in the technologies that use radiofrequency EMFs. Accordingly, ICNIRP has updated the radiofrequency EMF part of the 1998 Guidelines. This document presents these revised Guidelines, which provide protection for humans from exposure to EMFs from 100 kHz to 300 GHz. Health Phys. 00(00):00–00; 2020
Influence of CEO Characteristics to Firm Performance with CSR as a Mediation Variable

This study aims to identify and analyse the influence of a CEO’s characteristics on firm performance that are mediated by Corporate Social Responsibility (CSR). A total of 117 companies were sampled in this study. The data were analysed using WarpPLS 6.0. The measurement of CSR used the GRI G4 Standard. The results of this study indicates that CSR does not mediate the CEO’s characteristics on firm performance.
MODELS OF CELLULAR POPULATIONS WITH DIFFERENT STATES OF ACTIVITY

The study of a biological system made of several populations of cells and different constituents is performed. Especially, we refer to the growth of a tumoural mass in the avascular state. A general scheme of the corresponding mathematical problem is obtained and some of the most representative models in literature are discussed. We propose a new approach to the problem, based either on nonlocal interactions among the constituents or on the existence of a chemical potential driving motion of intercellular fluid.
A Study on Content Based Image Retrieval using Texture Features and Security Analysis

This paper suggests discrete wavelet based texture features for Content Based Image Retrieval (CBIR). The Proposed methodology uses Discrete Wavelet Transform for reducing the size of test images. To extract the texture feature of the images, a grey level co-occurrence matrix (GLCM) is applied for all test images of Low Level components of level 2 decomposed images. Related images are retrieved by using different distance measure classifiers. The experimental result shows that the proposed method achieves comparable retrieval performance for correlation property of GLCM of texture feature
Gene Expression Patterns of Glaciozyma antarctica in Response to Temperature Shifts

Psychrophilic yeast Glaciozyma antarctica can grow in a range of temperatures from -12°C to 20°C. It is not clear on how this psychrophilic yeast adapts to temperature shifts in the natural environmernt especially the rapid cooling in Antarctic. In order to understand this, RNA-seq and analysis were conducted to determine the gene expression patterns of G. antarctica in response to rapid temperature shifts from its optimal growth temperature at 12°C to -12°C & 0°C (cold shock) and 16°C & 20°C (heat shock). Three hundred and nine genes of G. antarctica grown in Yeast Potato Dextrose (YPD) broth medium were affected when the cells were shifted from 12°C to 0°C or -12°C. Among them, 16 genes were over-expressed. A similar experiment was repeated using the minimal medium as the growth medium. 753 genes were affected, whereby 144 genes were over-expressed. When cells grown in the YPD medium were exposed to higher temperatures of 16°C and 20°C, 356 genes were affected and seven genes were over-expressed. In a separate experiment G. antarctica was tested for its ability to grow at sub-zero degree temperatures at -12°C in YPD medium that was liquify with 15% (v/v) glycerol. The cell density was found increased from first month to the second month. These observation affirmed that G. antarctica is capable of surviving and proliferates at sub-zero degree temperatures.
Into the unknown : head-based selection is less dependent on peripheral information than gaze-based selection in 360 VR scenes

People naturally move both their head and eyes to attend to information. Yet, little is known about how the head and eyes coordinate in attentional selection due to the relative sparsity of past work that has simultaneously measured head and gaze behaviour. In the present study, participants were asked to view fully immersive 360-degree scenes using a virtual reality headset with built-in eye tracking. Participants viewed these scenes through a small moving window that was yoked either to their head or gaze movements. We found that limiting peripheral information via the head-or gaze-contingent windows affected head and gaze movements differently. Compared with free viewing, gaze-contingent viewing was more disruptive than head-contingent viewing, indicating that gaze-based selection is more reliant on peripheral information than head-based selection. These data dovetail with the nested effectors hypothesis, which proposes that people prefer to use their head for exploration into non-visible space while using their eyes to exploit visible or semi-visible areas of space. This suggests that real-world orienting may be more head-based than previously thought. Our work also highlights the utility, ecological validity, and future potential of unconstrained head and eye tracking in virtual reality.
Twitter Functions in COVID-19 Pandemic and Other Natural Disasters: A Systematic Review

Background: Twitter is a major tool for communication in emergencies such as natural disasters. This online social network allows the user to produce content, and it is not designed exclusively for news releases, as opposed to other service providers. Aim: The aim of this study is to investigate Twitter uses in natural disasters and pandemics. Methods: The included studies reported the role of Twitter in natural disasters. The studies that report in settings other than the natural disasters (such as man-made disasters) and other social media were excluded. Electronic databases for a comprehensive literature search including MEDLINE, Web of Science, CINAHL, PsycINFO, Cochrane Register of Controlled Trials (CENTRAL) and EMBASE were used to identify the records that match the mentioned inclusion criteria published till May 2020. The study characteristics were extracted from the qualified studies including year of publication, findings, and geographical location of the study conduct. A narrative synthesis for this literature review was used. Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 10 August 2020 doi:10.20944/preprints202008.0235. v1 © 2020 by the author(s). Distributed under a Creative Commons CC BY license. 2 Results: The search identified 822 articles of which 780 articles were removed, 256 were not available, 311 papers were not relevant, 16 were duplicated articles, and 197 were non-related to the emergencies. 45 articles met the selection criteria and were included in the review. eleven themes were found in the narrative synthesis including early warning, disseminating information and misinformation, advocacy, personal gains, assessment, various roles of organizations, public mood, geographical analysis, charity, using influencers, and trust. Conclusions: It is recommended that influential individuals be identified in each country and community before disasters occur so that the necessary information can be disseminated in response to disasters. Preventing the spread of misinformation is one of the most important issues in times of disaster, especially pandemics. Disseminating accurate, transparent, and prompt information from relief organizations and governments can help. Also, analyzing Twitter data can be a good source for understanding the mental state of the community, estimating the number of injured people, estimating the points affected by natural disasters, and modeling the prevalence of epidemics. Therefore, various groups such as politicians, the government, nongovernmental organizations, aid workers, and the health system can use this information to plan and implement interventions.
A Scalable Parallel Hypergraph Generator (HyGen)

Graphs are extensively used to model real-world complex systems. An edge in a graph can model pairwise relationships. However, multiway relationships (connections be-tween three or more vertices) are common in many complex systems such as cellular process, image segmentation, and circuit design. A graph edge cannot model multiway relationships. A hypergraph, which can connect more than two vertices, is thus a better option to model multiway relationships. A large-scale hypergraph analysis has the potential to find useful insights from a complex system and assist in knowledge discovery. Currently a limited number of hyper-graphs exists that are representative of real-world datasets. Moreover, real-world hypergraph datasets are small in size and inadequate to incorporate future needs. A graph generator that can produce large-scale synthetic hypergraphs can solve the above mentioned problems. In this paper, we present a scalable parallel hypergraph generator (HyGen) based on the Message Passing Interface (MPI) standard. To generate hypergraphs, HyGen takes the following parameter values as inputs: i) number of vertices, ii) number of hyperedges, iii) number of clusters, iv) vertex distribution, v) hyperedge distribution, vi) local cluster cardinality, and vii) global cluster cardinality. We have demonstrated that HyGen can generate hypergraphs of various sizes in a scalable fashion. HyGen takes approximately four minutes to generate a hypergraph with 4.8 million vertices, 1.6 million hyper-edges, and 800 clusters using 1,024 processes on a leadership class computing platform. Our strong and weak scaling experiments on supercomputers demonstrate that HyGen can quickly create large-scale hypergraphs in a parallel manner, thus providing a useful capability for hypergraph analysis.
In vitro antioxidant and free radical scavenging activity of Alpinia calcarata: A novel underutilized crop in Tropical Island

Since last few decades, there has been an exponential growth in popularising herbal medicine owing to its natural origin and lesser side effects while curing different ailments in the body. The present study was undertaken to reveal the effect of solvent (methanol, ethanol and aqueous) on phytoconstituents and antioxidant activity of Alpinia calcarata rhizome. Methanolic extract had highest phenolic content (21.08 mg/g GAE) followed by ethanolic (17.52) and aqueous extract (8.91 mg/g). DPPH radical scavenging activity was found to be highest in ethanolic extract (83.9%) and lowest in aqueous extract (58.01%). However, ABTS activity was found to be highest in methanolic extract (7.1 mg trolox/g) and lowest in aqueous extract (5.6 mg/g). Similar observations were found for Nitric oxide (NO) and FRAP activity. The metal chelating activity (MCA) was highest in ethanolic extract (84.6%) and lowest in methanolic extract (80.7%). This implied the potentiality ethanolic extract of Alpinia rhizome powder to be used in food and herbal industries for the preparation of nutraceutical compounds and herbal supplements.
On Automatically Motivating Story Characters

Motivation establishes the framework within which goals are pursued. Different characters are motivated differently based on their personality, emotions, relationships, and social norms. In this paper, we propose a motivation model that incorporates these concepts into multi-agent narrative planning. Using our model, characters automatically adopt new goals, ﬁnd plans to achieve those goals, and choose between those plans based on their personality.
Improving Generative Imagination in Object-Centric World Models

The remarkable recent advances in object-centric generative world models raise a few questions. First, while many of the recent achievements are indispensable for making a general and versatile world model, it is quite unclear how these ingredients can be integrated into a unified framework. Second, despite using generative objectives, abilities for object detection and tracking are mainly investigated, leaving the crucial ability of temporal imagination largely under question. Third, a few key abilities for more faithful temporal imagination such as multimodal uncertainty and situation-awareness are missing. In this paper, we introduce Generative Structured World Models (G-SWM). The G-SWM achieves the versatile world modeling not only by unifying the key properties of previous models in a principled framework but also by achieving two crucial new abilities, multimodal uncertainty and situation-awareness. Our thorough investigation on the temporal generation ability in comparison to the previous models demonstrates that G-SWM achieves the versatility with the best or comparable performance for all experiment settings including a few complex settings that have not been tested before.
A Revision of Coleus (Labiatae) in Sri Lanka (Ceylon)

The generic limits between the allied genera Plectranthus and Coleus have become highly controversial in the palaeotropics. Investigation into this problem is all the more desirable in Asia, where the present knowledge of these genera is as yet incomplete. Especially is this so in Sri Lanka which has seven species in Plectranthus, and eleven usually placed in Coleus. In the course of reinvestigating the relationship of these genera an attempt has been made to ascertain whether any valid characters delimit the one genus from the other as they occur in Sri Lanka, according to their general acceptance.
Financial Depth and the Real Estate Market: An Empirical Study of the Wealth Effect

The study uses the wealth effect to investigate the impact of financial depth on the real estate market. More specifically, financial depth is used to measure the size of the banking system and stock market in relation to the economy. As data were collected in Vietnam? an emerging country with a limited financial depth and an emerging real estate market? the study is expected to reveal many notable findings. The author employs the Autoregressive Distributed Lag (ARDL) approach, which generates reliable results, even with the data observation restrictions that are a typical feature of data analysis in emerging countries. The results show that the effect of financial depth, which is observed from the perspective of the banking sector and the real estate market, can be clearly demonstrated through the wealth effect and its significance in the short- and long-term. On the other hand, the significant impact of financial depth on the real estate market from the perspective of the stock market has not yet be found. The findings reveal a significant difference in the wealth effect between Vietnam and other developed countries. This is the first study to present empirical evidence for the impact of financial depth on the real estate market in an emerging country using the wealth effect. Therefore, the results of this study are essential, not only for Vietnam, but for all emerging countries.
Coexpression Network Analysis Identifies a Novel Nine-RNA Signature to Improve Prognostic Prediction for Prostate Cancer Patients

Background Prostate cancer (PCa) is the most common malignancy and the leading cause of cancer death in men. Recent studies suggest the molecular signature was more effective than the clinical indicators for the prognostic prediction, but all of the known studies focused on a single RNA type. The present study was to develop a new prognostic signature by integrating long noncoding RNAs (lncRNAs) and messenger RNAs (mRNAs) and evaluate its prognostic performance. Methods The RNA expression data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA) or Gene Expression Omnibus database (GSE17951, GSE7076, and GSE16560). The PCa-driven modules were identified by constructing a weighted gene coexpression network, the corresponding genes of which were overlapped with differentially expressed RNAs (DERs) screened by the MetaDE package. The optimal prognostic signature was screened using the least absolute shrinkage and selection operator analysis. The prognostic performance and functions of the combined prognostic signature was then assessed. Results Twelve PCa-driven modules were identified using TCGA dataset and validated in the GSE17951 and GSE7076 datasets, and six of them were considered to be preserved. A total of 217 genes in these 6 modules were overlapped with 699 DERs, from which a nine-gene prognostic signature was identified (including 3 lncRNAs and 6 mRNAs), and the risk score of each patient was calculated. The overall survival was significantly shortened in patients having the risk score higher than the cut-off, which was demonstrated in TCGA (p = 5.063E − 03) dataset and validated in the GSE16560 (p = 3.268E − 02) dataset. The prediction accuracy of this risk score was higher than that of clinical indicators (the Gleason score and prostate-specific antigen) or the single RNA type, with the area under the receiver operator characteristic curve of 0.945. Besides, some new therapeutic targets and mechanisms (MAGI2-AS3-SPARC/GJA1/CYSLTR1, DLG5-AS1-DEFB1, and RHPN1-AS1-CDC45/ORC) were also revealed. Conclusion The risk score system established in this study may provide a novel reliable method to identify PCa patients at a high risk of death.
Nuevo algoritmo para análisis de riesgo en radioterapia

Risk analyses applied to radiotherapy treatments have become an undeniable necessity, considering the dangers generated by the combination of using powerful radiation fields on patients and the occurrence of human errors and equipment failures during these treatments. The technique par excellence to execute these analyses has been the risk matrix. This paper presents the development of a new algorithm to execute the task with wide graphic and analytic potentialities, thus transforming it into a very useful option for risk monitoring and the optimization of quality assurance. The system SECURE-MR, which is the basic software of this algorithm, has been successfully used in risk analysis regarding different kinds of radiotherapies. Compared to previous methods, It offers new possibilities of analysis considering risk controlling factors as the robustness of reducers of initiators frequency and its consequences. Their analytic capacities and graphs allow novel developments to classify risk contributing factors, to represent information processes as well as accidental sequences. The paper shows the application of the proposed system to a generic process of radiotherapy treatment using a lineal accelerator.
A Framework for Evaluating the Usability and Security of Smartphones as FIDO2 Roaming Authenticators

Several online authentication schemes in development would enable smartphones to be used as roaming (or portable) authenticators to register and log into websites in place of passwords. The schemes are supported by a new standard for passwordless web authentication, FIDO2, that uses public-key cryptography and a challenge-response protocol to provide security and usability beneﬁts for users. Prior work on the use of security keys as roaming authenticators has identiﬁed several challenges to widespread adoption of FIDO2 pass-wordless authentication, one of which is the fact that people have to purchase and carry around security keys for some variants of the approach. Conversely, most people in the US already have a smartphone, so using smartphones as roaming authenticators might overcome this usability barrier. We present an overview of authentication schemes that could support smartphones as roaming authenticators. We also identify several key metrics to consider when evaluating the usability and security of smartphones as roaming authenticators.
Fair Initial Access Design for mmWave Wireless

Millimeter-wave (mmWave) systems use highly directional beams with narrow beamwidths to overcome the high path loss associated with their frequency bands. The use of narrow beams complicates the link establishment process as the transmitter and receiver need to search for appropriate beams before they can communicate with each other. Existing mmWave standards address the beam search process as part of the initial access (IA), and use contention based schemes that let multiple clients train their beams in the same search interval. However, there exists a severe power imbalance among competing clients’ beams, as clients naturally have different orientations and are at different distances from the same access point. This beam power imbalance coupled with poor contention protocols results in poor IA fairness in dynamic systems with multiple clients. We propose a joint power control and contention adaptation protocol (coined JPOC) that addresses this unfairness problem. JPOC uses an open-loop and client-side power control mechanism that reduces the beam power imbalance among competing clients. It also uses a model-driven contention adaptation protocol that optimally adjusts the duration of the contention time according to the system dynamics. Comprehensive evaluation through a mixture of experiments and simulations show that compared to existing 802.11 ad/ay standards, JPOC substantially reduces the contention overhead and increases the IA fairness.