Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey on Secure Identity Authentication Mechanisms for Fog-based Internet of Things (IoT) Applications

Fog computing enabled scalability and flexibility features to the Internet of Things (IoT) since it helped in reducing the communication traffic and enhanced the communication response time between the devices and the cloud. However, Fog computing inherited vulnerabilities for many attacks including Sybil attacks, impersonating attacks, and even Denial of service attacks. For that reason, it became essential to provide security to the Fog layer. Thus, implementing a secure authentication scheme as the first security line for a system is a necessity. In this paper, we are reviewing some recent approaches that have been developed for secure authentication in Fog computing and presenting a comparison between them considering different criteria such as user identification’s methodology, the used cryptographic algorithm, and the mobility support.
Recent Advances in Electrode Materials with Anion Redox Chemistry for Sodium-Ion Batteries

The development of sodium-ion batteries (SIBs), which are promising alternatives to lithium-ion batteries (LIBs), offers new opportunities to address the depletion of Li and Co resources; however, their implementation is hindered by their relatively low capacities and moderate operation voltages and resulting low energy densities. To overcome these limitations, considerable attention has been focused on anionic redox reactions, which proceed at high voltages with extra capacity. This manuscript covers the origin and recent development of anionic redox electrode materials for SIBs, including state-of-the-art P2- and O3-type layered oxides. We sequentially analyze the anion activity–structure–performance relationship in electrode materials. Finally, we discuss remaining challenges and suggest new strategies for future research in anion-redox cathode materials for SIBs.
Evaluation of Eigen Value Extraction and Automatic Computational Classification of Corpus in Scene Scheduling of Sports and Health IoT Platform

This study constructed a corpus by collecting samples of applications in exercise health information. Based on the extracted 8 eigen values, this study used the Fisher score algorithm to score the eigen values and then formed a combination of 8 groups of eigen values according to the score ranking. This study performed computerized automatic classification using cross-checking based on three methods, support vector machines, neural networks, and Naive Bayes model. By analyzing the experimental results, the optimal eigen value combination and the optimal classification algorithm were finally derived in this study.
The Study of Customer Satisfaction of Shopee Customers In Malaysia

The main objective of this study is to investigate the factors affect customer satisfaction level among Shopee customers in Malaysia. A set of self-administered questionnaires has been distributed to 200 targeted Shopee users in three states of Malaysia which are Johor, Melaka and Selangor. The five independent variables, which are price, trust, electronic word of mouth, website quality and security have been tested on their relationship towards the dependent variable, which is consumer satisfaction towards online shopping platform, Shopee in Malaysia. The collected data were keyed into SPSS version 25 and followed by using Partial Least Square Structural Equation Modeling (PLS-SEM 3.2.8) to assess the hypothesis. The result of this research given the feedbacks where trust, electronic word of mouth and website quality have significant effect towards consumers satisfaction on Shopee in Malaysia. However, price and security does not show a significant relationship with Shopee’s consumer satisfaction. In conclusion, this study helps to better understand the consumer satisfaction of Shopee’s online shopping services in Malaysia.
First-time fathers' experiences during their transition to parenthood: A study of Korean fathers

Purpose This study was conducted to explore first-time fathers' experiences during their transition to parenthood in South Korea. Methods Data were collected from September 2019 to February 2020 through in-depth interviews that were conducted individually with 12 participants. First-time fathers with children under 2 months of age were recruited. Verbatim transcripts were analyzed using Colaizzi's phenomenological method. Results Four theme clusters were identified: Preparing to become a father, challenges of becoming a father, motivation to foster familial bonds, and acknowledgement of fatherhood. Conclusion These findings suggest that Korean first-time fathers prepared to practice parenthood through prenatal education, taegyo, and feeling bonds with their new baby. They recognized their identity as fathers and experienced self-growth. These results would be beneficial for health professionals in developing perinatal care programs, and the results provide basic data for studies on fathers and families during the transition to parenthood.
Supplemental Material of Discovering 3D Parts from Image Collections

Given an input image, the reconstruction model produces a 3D centroid and shape encoding for each object part. The network architecture of the image encoder and shape decoder are illustrated in Figure 1 and Figure 2, respectively. To obtain a part shape, we pass individual encodings through the decoder of Part-VAE and apply the predicted deformations to a template mesh. We use a spherical mesh with Nv = 642 and Nf = 1280 as template in our experiments. Finally, the whole object shape is composited by shifting the deformed meshes to the predicted centroids and combining their vertices and faces. Note that we do not penalize part overlap with any separation loss. Instead, the goal to cover the entire object silhouette with the proposed part prior enables our model to discover the best part configurations automatically.
Learning Inertial Odometry for Dynamic Legged Robot State Estimation

This paper introduces a novel proprioceptive state estimator for legged robots based on a learned displacement measurement from IMU data. Recent research in pedestrian tracking has shown that motion can be inferred from inertial data using convolutional neural networks. A learned inertial displacement measurement can improve state estimation in challenging scenarios where leg odometry is unreliable, such as slipping and compressible terrains. Our work learns to estimate a displacement measurement from IMU data which is then fused with traditional leg odometry. Our approach greatly reduces the drift of proprioceptive state estimation, which is critical for legged robots deployed in vision and lidar denied environments such as foggy sewers or dusty mines. We compared results from an EKF and an incremental fixed-lag factor graph estimator using data from several real robot experiments crossing challenging terrains. Our results show a reduction of relative pose error by 37% in challenging scenarios when compared to a traditional kinematic-inertial estimator without learned measurement. We also demonstrate a 22% reduction in error when used with vision systems in visually degraded environments such as an underground mine.
Différentielles abéliennes à singularités prescrites

Résumé . — Les invariants locaux d’une diﬀérentielle abélienne méromorphe sur une surface de Riemann de genre g sont les ordres des zéros et des pôles, et les résidus aux pôles. Le résultat principal de cet article est qu’à quelques exceptions près, chaque conﬁguration d’ordres et de résidus peut être obtenue par une diﬀérentielle abélienne. Ces exceptions sont deux familles en genre 0 où les ordres des pôles sont soit tous simples, soit tous non simples. De plus, nous montrons que chaque conﬁguration de résidus peut être réalisée dans chaque composante connexe des strates. Enﬁn, nous donnons les conséquences de ces résultats en géométrie algébrique et plate. L’ingrédient principal de la preuve est la représentation plate des diﬀérentielles abé-liennes. Abstract (Abelian diﬀerentials with prescribed singularities). — The local invariants of a mero-morphic Abelian diﬀerential on a Riemann surface of genus g are the orders of zeros and poles, and the residues at the poles. The main result of this paper is that with few exceptions, every pattern of orders and residues can be obtain by an Abelian diﬀerential. These exceptions are two families in genus zero when the orders of the poles are either all simple or all nonsimple. Moreover, we even show that the pattern can be realized in each connected component of the strata. Finally we give consequences of these results in algebraic and ﬂat geometry. The main ingredient of the proof is the ﬂat representation of the Abelian diﬀerentials.
RMHP_A_278404 2899..2907

1Department of Family Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia; 2Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 3Pharmacoeconomics Research Unit, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; 4College of Medicine, King Saud University, Riyadh, Saudi Arabia; 5Department of Pharmacoeconomics and Drug Pricing, Saudi Food and Drug Authority, Riyadh, Saudi Arabia
Evaluation Studies of Motion Sickness Visually Induced by Stereoscopic Films

Article history: Received: 21 January, 2021 Accepted: 01 July, 2021 Online: 03 August, 2021 Humans have experienced motion sickness and possessed the knowledge of stereopsis since classical antiquity. Knowledge of stereopsis dates back to approximately 300 B.C., when Euclid first recognized the concept of depth perception in human vision. Further, the motion sickness is including a sensation of wooziness and nausea that has been documented since approximately 400 B.C., when it was mentioned in the Aphorisms of Hippocrates. Stereoscopic images that utilize binocular stereopsis can frequently cause viewers to experience unpleasant symptoms including visual fatigue. Despite the increased use of three-dimensional (3D) display technologies and numerous studies on 3D vision, there is insufficient accumulation of researches to clarify the effects of 3D images on the human body. Therefore, the safety of viewing virtual 3D images is an important social issue. Inconsistency between convergence and lens accommodation is suspected as a cause of which motion sickness induced by stereoscopic viewing have not yet been identified. A system to simultaneously measure the convergence and lens accommodation is constructed to characterize the 3D vision. Fixation distances were compared between the convergence and lens accommodation while a subject repeatedly viewed 3D video clips. The results indicated that the accommodative power did not correspond to the distance of convergence after 90 s of continuously viewing 3D images. Presently, the relationship between this inconsistency and the unpleasant symptoms remains unclear. Therefore, we introduce empirical research on the motion sickness that can contribute to developments in the relevant fields of science and technology.
Humanist formation the role of literary reading in the performance of the school librarian

Introduction: Literary reading is considered one of the most relevant activities for the improvement of interpersonal skills, such as empathy, considered essential in performing the functions of the school librarian. Objective: Thus, this study aims to discuss how the practice of literary reading can influence the performance of the school librarian from the perspective presented by the author Carlos Ruiz Záfon in the plot of his work A Sombra do Vento. Method: Regarding methodological procedures, this is a qualitative research, which had as scientific method the use of bibliographic research and the questionnaire as a data collection instrument. Results: The results show that librarians are aware of the importance of literary reading for the performance of their professional activities and for the construction of a more empathic and humanistic relationship with students, but this practice is not often discussed frequently in research in the area and encouraged in undergraduate courses. Conclusion: However, it is expected that the present study can contribute to the debates on the subject in the area of Information Science and reflect on the influence of literary reading for a more humanistic and empathic formation of the school librarian.
Chemical composition of rain at a regional site on the South African Highveld

Relatively limited data have been published on the chemical composition of wet deposition for South Africa, which is considered an important source region for atmospheric pollutants. Concentrations and wet deposition fluxes of ionic species determined in rain samples collected from December 2014 to April 2018 at a regional site, Welgegund, are presented, and contextualised by wet deposition composition in the north-eastern interior of South Africa. 89% of rain samples collected during the sampling period complied with the data quality objectives of the World Meteorological Organisation. The total ionic concentration of rainwater at Welgegund was similar to that at two regional sites located within proximity of industrial activities. The pH of rainwater (4.80) was comparable to that determined at two rural background sites, which indicated increased neutralisation. Similarly to the other sites located in the South African interior, SO42- was the most abundant species in rain, with concentrations thereof in the same order as SO42- levels determined at the two industrially influenced sites. Lower sulphur and nitrogen fluxes at Welgegund were attributed to lower average annual rainfall. The anthropogenic (industrial) source group had the largest contribution to wet deposition chemical composition, which signified the influence of major source regions in the South African interior that impact Welgegund. Relatively large contributions were also calculated from marine and crustal sources. The influence of agricultural activities was also evident, while biomass burning had the lowest contribution due to open biomass burning occurring mainly during the dry season.
Improved MSHA-1 algorithm with mixing method

Received Mar 13, 2020 Revised Apr 29, 2021 Accepted May 24, 2021 Recently, a modified SHA-1 (MSHA-1) has been proposed and claimed to have better security performance over SHA-1. However, the study showed that MSHA-1 hashing time performance was slower. In this research, an improved version of MSHA-1 was analyzed using avalanche effect and hashing time as performance measure applying 160-bit output and the mixing method to improve the diffusion rate. The diffusion results showed the improvement in the avalanche effect of the improved MSHA-1 algorithm by 51.88%, which is higher than the 50% standard to be considered secured. MSHA-1 attained 50.53% avalanche effect while SHA1 achieved only 47.03% thereby showing that the improved MSHA-1 performed better security performance by having an improvement of 9.00% over the original SHA-1 and 3.00% over MSHA-1. The improvement was also tested using 500 random string for ten trials. The improved MSHA-1 has better hashing time performance as indicated by 31.03% improvement. Hash test program has been used to test the effectiveness of the algorithm by producing 1000 hashes from random input strings and showed zero (0) duplicate hashes.
Towards Understanding the Use of Telegram by Political Groups in Brazil

Instant messaging platforms such as Telegram and WhatsApp became one of the main means of communication used by people all over the world. In most of these services, communities are created around the so called groups and channels, allowing easy, encrypted and instantaneous information exchange. With the political debate gaining a widespread attention from the public and permeated with intense discussion and polarization, specially in a context in which far right communities are being banned from maistream social networks like Twitter, Youtube, and Facebook, alternative platforms, like Telegram become very popular as they start to be seeked as a "free space to discussion" and abused for dissemination of misinformation and hate speech. This work consists in a data analysis for Brazilian public groups and channels for political discussion on Telegram, observing the network created in the platform as well as a closer look in the dynamics of messages and members in this platform. Our findings show that political mobilization increased substantially on Telegram in recent years, suggesting a mass migration from other mainstream platforms. We find the large groups structure of Telegram are effective in spreading the messages through the network, with the content being viewed by numerous users and forwarded multiple times. Looking at the messages, we find an expressive interplay between Telegram and external web pages, notably for Youtube and other social networks. Furthermore, we observed a relevant amount of messages attacking political personalities and spreading unchecked content about COVID-19 pandemic. Taken all together, we perform an extense study in how political discussion advanced on Telegram in Brazil and how they operate in this alternative messaging application.
Effects of Media Use on College Students’ Eating Behaviors and Body Image

Effects of Media Use on College Students’ Eating Behaviors and Body Image Shelby Sanya Weber Director: Miglena Sternadori, Ph.D. Eating disorders are on the rise, especially among adolescents. As exposure to mass media is also increasing among all ages, much research has explored the links among media exposure, individual eating behaviors, and the ways in people view their own bodies. This thesis describes and analyzes correlations between mass media exposure and the development of eating disorder symptomology. Eating disorders are defined, and mass media’s influences on body image and self-esteem are discussed as the foundation for several hypotheses and a research question regarding the effects of media exposure on eating behaviors and body image. A quasi-experiment and a self-questionnaire were administered to 100 college students in exchange for extra credit through particular courses. Although most hypotheses were not supported or only partially supported at the level of statistical significance, an interesting positive correlation emerged between selfreported exposure to fashion magazines and self-reported binge-eating, which is known to be an indirect indicator of food deprivation in one’s past.
FILTRATION OF DISSOLVED ORGANIC NUTRIENTS FROM FISH FARM WASTEWATER USING A MACROALGAE BIOFILTER

Intensive animal aquaculture damages the environment by releasing large quantities of nutrients which drives eutrophication in aquatic ecosystems. Macroalgae are efficient in uptaking nutrients as they grow with past studies suggesting their integration into aquaculture systems as a means to improve wastewater quality. This study was designed to assess the feasibility of using macroalgae as a biological filtration system for the removal of dissolved nutrients found in finfish farm wastewater. To test this, an experimental fish farm and mesocosm system was established on the northern coast of Saaremaa island, West Estonian archipelago. The green algae Ulva intestinalis was selected as a good candidate to assess the efficacy of a macroalgae biofiltration system to uptake nutrients. The results obtained show at best a 18–25% reduction in waste water nutrient concentrations for the nitrogenous compounds nitrite and nitrate for mesocosms stocked with macroalgae compared with the control. The system experienced an average 60% reduction in nitrogen and phosphorus concentrations in wastewater outflow compared to concentrations present within the finfish mesocosm. Additionally, the subsequent biomass gain of the incubated macroalgae species Ulva intestinalis is reported to be 4% per day at its maximum rate. The results obtained in this study indicate that Ulva intestinalis can be integrated into aquaculture systems as a nitrogen biofilter. In addition, the macroalgae biomass produced may offer aquaculture operations an additional income stream improving farm economics.
Intrusion detection system based on machine learning techniques

Recently, the data flow over the internet has exponentially increased due to the massive growth of computer networks connected to it. Some of these data can be classified as a malicious activity which cannot be captured by firewalls and anti-malwares. Due to this, the intrusion detection systems are urgent need in order to recognize malicious activity to keep data integrity and availability. In this study, an intrusion detection system based on cluster feature concepts and KNN classifier has been suggested to handle the various challenges issues in data such as in complete data, mixed-type and noise data. To streng then the proposed system a special kind of patterns similarity measures are supported to deal with these types of challenges. The experimental results show that the classification accuracy of the suggested system is better than K-nearest neighbor (KNN) and support vector machine classifiers when processing incomplete data set, inspite of droping down the overall detection accuracy.
Progress in Drug Discovery & Biomedical Science

Dengue is a serious health endemic with a prediction that 2.5 billion are at risk of acquiring dengue infection and 50 million are infected yearly. Over the years, tremendous effort has been done to develop potential treatment for dengue infection. However, to no avail, most of the treatment modalities have failed in clinical evaluation and trials. With the lack of treatment for dengue infection, home remedies have been widely used as a belief to relieve the symptoms, one of them is the use of papaya leaf juice. This review provides a recent evidences and research that have been attempted to unravel the mechanism of actions of papaya leaf extract to treat dengue infection. Up to date, there are three main mechanisms that have been proposed, which are the anti-thrombocytopenic, immunomodulatory and anti-viral effect of papaya leaf juice extract.
SCREENING IN SPACE: RICH AND POOR CONSUMERS IN A LINEAR CITY

Unlike standard models of monopolistic screening (second-degree price discrimination), we consider a situation where consumers are heterogeneous not only vertically, in their willingness to pay, but also horizontally, in their tastes or “addresses” a la Hotelling’s Linear City. For such a screening game, a novel model is composed. We formulate the game as an optimization program, prove the existence of equilibria, develop a method to calculate equilibria, and characterize their properties. Namely, the solution structure of the resulting menu of contracts can be either a “chain of envy” like in usual screening or a number of disconnected chains. Unlike usual screening, “almost all” consumers get positive informational rent. Importantly, the model can be extended to oligopoly screening.