Miracle-dz/UniFAR-FTUs huggingface dataset:
Cryogenically printed flexible chitosan/bioglass scaffolds with stable and hierarchical porous structures for wound healing

Wound healing is a dynamic and well-orchestrated process that can be promoted by creating an optimal environment with wound dressing. An ideal wound dressing material should possess a suitable matrix, structure and bioactive components, functioning synergistically to accelerate wound healing. Wound dressings that allow reproducibility and customizability are highly desirable in clinical practice. In this study, using chitosan (CS) as the matrix and bioglass (BG) as the biological component, a spatially designed dressing scaffold was fabricated from a home-made cryogenic printing system. The micro- and macro-structures of the scaffold were highly controllable and reproducible. The printed scaffold exhibited interconnected and hierarchical pore structures, as well as good flexibility and water absorption capacity, and these properties were not affected by the content of BG. Nevertheless, when the content of BGs exceeded 20% that of CS, the tension strength and elongation rate reduced, but in vitro antibacterial, cell proliferation and migration performance were enhanced. In vivo examinations revealed that the composite scaffold significantly promoted wound healing process, with the group having 30% bioglass showing better wound closure, neovascularization and collagen deposition than other groups. These results indicate that the 3D printed CS/BG composite scaffold is a promising dressing material that accelerates wound healing.
SOFT LINER IN ELDERLY EDENTULOUS PATIENTS

1. Assistant Professor, Department of Removable Prosthodontics, Faculty of Dentistry, Hassan II University of Casablanca, Post code 21100, Casablanca, Morocco. 2. Professor, Department of Removable Prosthodontics, Faculty of Dentistry, Hassan II University of Casablanca, Morocco. 3. Resident doctor, Department of Removable Prosthodontics, Faculty of Dentistry, Hassan II University of Casablanca, Post code 21100, Casablanca, Morocco. Manuscript Info Abstract . Manuscript History Received: 05 June 2020 Final Accepted: 10 July 2020 Published: August 2020
Fluorinated twist-bend nematogens: the role of intermolecular interaction

ABSTRACT New ethenyl-linked dimers which differ in the fluorine-substitution pattern were prepared and characterised. The investigation has been focused on the impact of electronic structure and non-covalent interactions associated with the presence of C-F bond on the stability of the NTB phase and overall thermal behaviour of the dimers. A joined computational and spectroscopy study showed that electrostatic interactions associated with C-F bond govern the conformational diversity of the mesogenic core without interfering with the molecular shape. The qualitative analysis of allowable inter-molecular interactions suggested that conformational diversity and flexibility of the fluorinated fragment influence the strength of intermolecular interactions and thus transitional properties, including stability of the NTB phase. These results provide an important insight into the relationship between the electronic structure, the strength of intermolecular interactions and transitional properties, providing a valuable contribution to the design of novel functional materials. Graphical abstract
Analyzing the effects of visual aesthetic of Web pages on users’ responses in online retailing using the VisAWI method

Purpose The success of e-commerce websites depends on their effective communication and influence on their users. At first glance, the users are impressed by the website design and, if inspired, they would continue their operations on the website. This paper aims to evaluate the effects of visual aesthetic of the Web pages on users’ behavior in online shopping environment. In particular, the paper aims to evaluate the elements of visual aesthetic on the organism variables (i.e. “satisfaction,” “arousal,” “perceived on-line service quality” and “trust”) and measure them on the users’ response (i.e. purchase, comparison and re-visit). Design/methodology/approach Using the stimulus–organism–response (S-O-R) framework, the authors first assessed direct and indirect effects of visual aesthetics of e-commerce websites on customer responses. Then, the Visual Aesthetics of Websites Inventory (VisAWI) method was used to examine the effects of four dimensions (i.e. craftsmanship, simplicity, diversity and colorfulness) on users’ perceived website aesthetics. To do so, DigiKala.com, a famous Iranian e-commerce website was selected and the questionnaires were distributed among its users. Findings The study results revealed that the website aesthetics in the S-O-R evaluation had the greatest direct impact on “perceived quality of online services,” “trust,” “satisfaction” and “arousal,” respectively. These variables also indirectly affected “shopping,” “revisit” and “comparison to similar products on other websites. ” Regarding the evaluations based on the VisAWI, the component “craftsmanship” played the most central role in expressing the website aesthetics, followed by the variables “simplicity,” “diversity” and “colorfulness,” respectively. Originality/value Although the considerable effect of Web aesthetics on customers’ purchase behavior has been identified in previous research, it has not been accurately measured. Furthermore, studies on Web aesthetics are mostly limited to information systems’ users and do not concern consumers. Therefore, considering the increasing growth in online shopping and the significance of Web aesthetics to online consumers, investigating how consumers respond to Web aesthetics is of vital importance.
Rediscovery and conservation status of six short‐range endemic Pseudanophthalmus cave beetles (Carabidae: Trechini)

The North American endemic cave beetle genus Pseudanophthalmus is exceptionally diverse, with >150 described taxa in karst regions of the eastern United States. Eighty‐seven per cent of taxa, however, are at risk of extinction due to small, restricted distributions, low abundance, and several potential anthropogenic threats to their habitats. Six species in Tennessee are exceedingly rare and are candidates for listing under the U.S. Endangered Species Act: Coleman Cave Beetle (P. colemanensis), Fowler's Cave Beetle (P. fowlerae), Inquirer Cave Beetle (P. inquisitor), Bakers Station Cave Beetle (P. insularis), Noblett's Cave Beetle (P. paulus), and Soothsayer Cave Beetle (P. tiresias). Each species is an extreme short‐range endemic. Four species have not been observed in several decades, and two species (P. insularis and P. paulus) are considered possibly extinct. We searched 57 caves in 15 counties in Tennessee, including eight of the nine historical localities of the six Pseudanophthalmus species between July 2013 and March 2016 to determine if populations were still extant, to search for new populations, and to estimate relative abundance. We confirmed the continued existence of all six species, including P. fowlerae, P. insularis, P. paulus, and P. tiresias, which had not been observed in 52, 60, 50, and 42 years, respectively. We also discovered five new populations in total, one for each species except for P. paulus. Although U.S. Fish and Wildlife Service ruled that all six species do not warrant federal listing, all species continue to have restricted ranges and remain at an elevated risk of extinction.
IMPACT OF COVID-19 PANDEMIC ON ACCEPTANCE OF E-LEARNING SYSTEM IN JORDAN: A CASE OF TRANSFORMING THE TRADITIONAL EDUCATION SYSTEMS

Purpose of the study: This paper aimed at investigating factors influencing students’ intention to use e-learning within the context of Jordan. The proposed model integrated subjective norms with the extended Technology Acceptance Model (TAM). Methodology: The data collected 587 students from Jadara University. Data were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM). Main Findings: The result has confirmed the direct effect of all variables. Next, the result has also shown that the mediation effect of perceived usefulness and perceived ease of use between subjective norm and the behavioral intention to use the E-learning system was partially supported. Applications of this study: The results of the current work may contribute to the improvement of the existing literature in the e-learning acceptance fields, and can be applied as an essential input for the development of the recent e-learning training programs. Novelty/Originality of this study: The present work is intended to conclude a series of concrete research data as well as to contribute a new angle to the existing literature on students’ perception of the e-learning system.
Community Detection Based on Modularized Deep Nonnegative Matrix Factorization

Community detection is a well-established problem and nontrivial task in complex network analysis. The goal of community detection is to discover community structures in complex networks. In recent years, many existing works have been proposed to handle this task, particularly nonnegative matrix factorization-based method, e.g. HNMF, BNMF, which is interpretable and can learn latent features of complex data. These methods usually decompose the original matrix into two matrixes, in one matrix, each column corresponds to a representation of community and each column of another matrix indicates the membership between overall pairs of communities and nodes. Then they discover the community by updating the two matrices iteratively and learn the shallow feature of the community. However, these methods either ignore the topological structure characteristics of the community or ignore the microscopic community structure properties. In this paper, we propose a novel model, named Modularized Deep NonNegative Matrix Factorization (MDNMF) for community detection, which preserves both the topology information and the instinct community structure properties of the community. The experimental results show that our proposed models can significantly outperform state-of-the-art approaches on several well-known dataset.
A Novel Packet Aggregation Mechanism for Enhancing VoIP Performance on IEEE 802.11 Wireless Mesh Networks

In 802.11 Wireless Mesh Network (WMN), bandwidth will be wasted much for transferring VoIP flows since each voice frame must contain relatively large amount of protocol data. “Packet Aggregation” mechanism can be applied to merge the voice data of multiple VoIP flows into one frame for transmission. It reduces the waste on bandwidth and increases the maximum number of successful VoIP calls. In addition, the mechanism “MCF controlled channel access” (MCCA) defined in 802.11 standard can be used to obtain better QoS than adopting default EDCA mechanism. In MCCA, mesh stations which wants to transfer VoIP flows can reserve time intervals of the medium for transmission and this reservation will be advertised to their neighbors. It is why MCCA causes less medium contentions than EDCA. In this paper, a mechanism to transfer VoIP flows in IEEE 802.11 WMN by MCCA with packet aggregation scheme is proposed. The effectiveness of the proposed mechanism is shown by simulation results. In addition, the problem named as Routing-Packet Aggregation / De-aggregation-Scheduling optimization problem (abbr. RPADS problem) derived from the proposed mechanism is also studied. A heuristic algorithm for RPADS problem to maximize the total number of supported calls is also proposed.
Antibiotic resistance fate in the full-scale drinking water and municipal wastewater treatment processes: A review

Antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) have been widely identified as emerging pollutants in various aquatic compartments. Concerns have been raised that the antibiotic resistance determinants may occur in treated drinking water and wastewater, weakening the therapeutic efficacy of antibiotics and so posing threat to public health. Most often, laboratory trials are conducted to assess the removal efficiency of ARB and ARGs in individual treatment processes (e.g., disinfection). However, the random variations of microbial distribution and chemical compositions in real-world environments cannot be entirely simulated, presumably leading to false-positive results as a consequence. It is therefore useful to provide a summary of recent advancements regarding the antibiotic resistance attenuation during full-scale water/wastewater treatments, which has not been adequately evaluated so far. In this review, the prevalence, proliferation and transmission of ARB and ARGs in urban water cycle, coupled with corresponding detection methods are presented as a short overview. The fate of ARB and ARGs in the sequential drinking water and wastewater processing units is critically summarized, the aim of which is to provide guidance for improving the current water treatment facilities to further reduce the antibiotic resistance in finished water.
Influences of explant type on in vitro regeneration of Malaysian Chilli (Capsicum annuum L.) var CB 4

Regeneration system via organogenesis has been developed for Malaysian chilli (Capsicum annuum L) var. CB4. Hypocotyls, cotyledons and petioles from In vitro germinated seedlings were cultured on medium comprising of Murashige and Skoog’s basal medium supplemented with 5 mg/l BAP, 1 mg/l IAA and 25 g/L DJ nutrient. Hypocotyls and petioles were found to be the best explants, based on its ability to produce shoot buds compared to cotyledons. Shoot buds were elongated on MS medium containing 3 mg/l BAP, 1 mg/l IAA, 15 g/L DJ, 2 mg/L GA3, 10 mg/l AgNO3 and 15 g/L DJ nutrient. Rooting was induced on MS basal containing IAA.
Effect of Oil Prices on Exchange Rate Movements in Korea and Japan Using Markov Regime-Switching Models

We examined the effects of oil prices along with fundamental economic variables on exchange rate movements in the Korean and Japanese foreign exchange markets, using two-regime Markov Regime Switching Models (MRSMs) over the period from January 1991 to March 2019. We selected the best MRSMs explaining their exchange rate movements using the Maximum Log-Likelihood and Akaike Information Criteria, and analyze effects of oil prices on their exchange rates based on the selected best MRSMs. We consider two regimes, regime 1 with high-volatility and regime 2 with low-volatility. In Korea, two apparent regimes are observed, and unstable regime 1 consists of two distinct prolonged periods, the 1997 Asian Financial Crisis and the 2008 Global Financial Crisis. Meanwhile in Japan, no evident prolonged regimes are observed. Rather, the two regimes occasionally alternate. Oil prices influence exchange rate movements in regime 2 with low-volatility in Korea, while they do not influence exchange rate movements in either regimes in Japan. The Japanese foreign exchange market is more resistant to external oil price shocks because the Japanese industry and economy has less dependence on oil than Korea.
CURSAT ver. 2.1: A Simple, Resampling-Based, Program to Generate Pseudoreplicates of Data and Calculate Rarefaction Curves

CURSAT ver. 2.1 is an open-source code in QB64 basic, compilable into an executable file, that produces n pseudoreplicates of an empirical data set. Both resamplings with and without replacement are allowed by the software. The number (n) of pseudoreplicates is set by the user. Pseudoreplicates can be exported in a file that can be opened by a spreadsheet. Thus, pseudoreplicates are permanently stored and available for the calculation of statistics of interest and associated variance. The software also uses the n pseudoreplicate data to reconstruct n accumulation matrices, appended in an output file. Accumulation has applicability in cases in which repeated sample-based data must be evaluated for exhaustiveness. Many situations involve repeated sampling from the same set of observations. For example, if data consist of species occurrence, the software can be used by a wide spectrum of specialists such as ecologists, zoologists, botanists, biogeographers, conservationists for biodiversity estimation. The software allows performing accumulation irrespectively whether the input data set contains abundance (quantitative) or incidence (binary) data. Accumulation matrices can be imported in statistical packages to estimate distributions of successive pooling of samples and depict accumulation and rarefaction curves with associated variance. CURSAT ver. 2.1 is released in two editions. Edition #1 is recommended for analysis, whereas Edition #2 generates a log file in which the flow of internal steps of resampling and accumulation routines is reported. Edition #2 is primarily designed for educational purposes and quality check. Funding statement: The software was developed with no specific funds.
Coccinellid Funa Associated with Pulse Crop-ecosystems from Rayalseema Region of Andhra Pradesh

Coccinellids belong to the order Coleoptera, suborder Polyphaga, super-family Cucujoidea, the family Coccenellidae and are commonly called as ladybird beetles, lady birds, lady bugs. Many taxonomic works on this important predacious family recognize six subfamilies within family Coccinellidae viz., Chilocorinae, Coccinellinae, Coccidulinae, Skymninae, Sticholotidinae and Epilachininae, of these one subfamily Epilachininae is phytophagous and the rest are predaceous in nature (Sasaji, 1968). Vanderberg (2000) has provided a check list of 6000 species in 370 genera, where as Slipinski and Tomaszewska, 2005 has reported 6000 species of coccinellids in 490 genera occurring worldwide. Coccineliids are of great economic importance due to their predacious activity against soft bodied insects viz., aphids, scales, mealy bugs, leafhoppers, International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 8 (2020) Journal homepage: http://www.ijcmas. com
Bi-layer materials based on thermoplastic corn starch, polylactic acid and modified polypropylene

Currently, the development of environmentally friendly materials with suitable properties for industrial use has become of great importance. In this work, bilayer materials were developed by assembling thermoplasticcorn starch monolayers (TPS) combined with semi-crystalli e pol lactic acid (PLA ) monolayers and maleic anhydride grafted polypropylene (PPMA). The presence of a potassium sorbate solution was evaluated as interface material. Structural properties (FTIR and SEM), interactions with water (water vapor transmission rate, solubility in water and moisture content) and biodegradation of the materials were evaluated. FTIR spectra showed that potassium sorbate promotes chemical interactions between TPS monolayers (-OH group) and PLA monolayers (C = O group) or PPMA (C-O-C, C-O, C-H groups). For their part, SEM micrographs reveal that when adding potassium sorbate, higher interfacial adhesion develops between TPS and PPMA than between TPS and PLAs. As for the interactions with water, when using a PLA or PPMA monolayer, due to its hydrophobic characteristics, the high permeability to water vapour and the sensitivity to iquid water that starch-based materials pr sent would be avoided. Finally, the b odegradation test showed that TPS biodegrades faster than other materials, followed by PLA. The results obtained are interesting since the addition of an adhesive material to assemble the low chemical affinity monolayers would be avoided. The developed materials exhibit great potential for application as packaging in the food industry.
Human leukocyte antigen-genotyping according to sex in extrapulmonary tuberculosis patients in Iraq

Methods: One-hundred whole blood samples were collected from patients with EPTB (n1⁄450) and healthy control patients (n1⁄450). The sequence-specific oligonucleotide was used for HLA-DRB1 genotyping. Results: The HLA-DRB1 7 (relative risk1⁄44.35) and HLA-DRB1 3 (relative risk1⁄43.20) genotypes were significantly more frequent among patients with EPTB compared with healthy subjects (38 vs. 16%, P1⁄40.002 and 27 vs. 8%, P1⁄40.002, respectively). The total alleles of the HLA-DRB1 were more common among female patients (60%) vs. male patients (40%). From the result of HLA-DRB1 genotypes, most of the females had two alleles, whereas males mostly had one allele. The frequency of the HLA-DRB1 3 and HLA-DRB1 7 was significantly more common in female patients (72 and 62%, respectively), than male patients (28 and 38%, respectively). Moreover, this result was observed for the genotype HLA-DRB1 15.
Study on the influence of recycled material on the tensile strength of HDPE products

The content of this paper concerns to the new tendency in industry, the concept of circular economy, based mainly on the decrease in plastic waste pollution by recovery and at source and on the significant optimization of production costs. The mechanical tests have been made on handles injected from several mixtures of grinded HDPE, with different melt flow rates and in different proportions, in order to establish the conformity of the final product to the imposed technical specifications regarding the breaking strength of this. For the industrial application, an important result is the validation of the recipes proposed for the preparation of raw material from recycled HDPE for which the final injected product preserves the physical-mechanical properties within the imposed limits. The study shows that in certain cases, for the preparation of the raw material, it could be used up to 100% recycled material, without affecting the technical specifications of mechanical resistance imposed on the final product.
Exploring Chemistry Teachers’ General Pedagogical Knowledge through Teachers’ Self-reflection

A characterization of the teaching of three chemistry professors was carried out using a case study with a phenomenographic approach to explore chemistry teachers’ general pedagogical knowledge (GPK) through teachers’ self-reflection. A video stimulated recall technique was used to identify and examine teachers’ thoughts and decisions, as well as the reasons for driving their behavior. The results showed that these teachers concentrated most of their GPK in eight categories, three of them reported in the literature with the highest frequencies. This could indicate that GPK emerged in different facets depending on the institutional context, and therefore, their teaching experience. This study also identifies three new categories of GPK not reported before: Applying learned concepts and abilities, student-student interaction, and assessment. Therefore, a new perspective on pedagogical content knowledge research is open that will lead us to future research.
Convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product

Modeling the performance and energy consumption of the sparse matrix-vector product (SpMV) is essential to perform off-line analysis and, for example, choose a target computer architecture that delivers the best performance-energy consumption ratio. However, this task is especially complex given the memory-bounded nature and irregular memory accesses of the SpMV, mainly dictated by the input sparse matrix. In this paper, we propose a Machine Learning (ML)-driven approach that leverages Convolutional Neural Networks (CNNs) to provide accurate estimations of the performance and energy consumption of the SpMV kernel. The proposed CNN-based models use a blockwise approach to make the CNN architecture independent of the matrix size. These models are trained to estimate execution time as well as total, package, and DRAM energy consumption at different processor frequencies. The experimental results reveal that the overall relative error ranges between 0.5% and 14%, while at matrix level is not superior to 10%. To demonstrate the applicability and accuracy of the SpMV CNN-based models, this study is complemented with an ad-hoc time-energy model for the PageRank algorithm, a popular algorithm for web information retrieval used by search engines, which internally realizes the SpMV kernel.