Miracle-dz/UniFAR-FTUs huggingface dataset:
P2SF-IoV: A Privacy-Preservation-Based Secured Framework for Internet of Vehicles

With the development of Internet of Vehicles (IoV), the integration of Internet of Things (IoT) and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS, the IoVs communicate wirelessly with other IoVs, Road Side Unit (RSU) and Cloud Server using an open channel Internet. The openness of above participating entities and their communication technologies brings challenges such as security vulnerabilities, data privacy, transparency, verifiability, scalability, and data integrity among participating entities. To address these challenges, we present a Privacy-Preserving based Secured Framework for Internet of Vehicles (P2SF-IoV). P2SF-IoV integrates blockchain and deep learning technique to overcome aforementioned challenges, and works on two modules. First, a blockchain module is developed to securely transmit the data between IoV-RSU-Cloud. Second, a deep learning module is designed that uses the data from blockchain module to detect intrusion and its performance is assessed using two network datasets IoT-Botnet and ToN-IoT. In contrast with other peer privacy-preserving intrusion detection strategies, the P2SF-IoV approach is compared, and the experimental results reveal that in both blockchain and non-blockchain based solutions, the proposed P2SF-IoV framework outperforms.
Rapid Softness Prediction and Microbial Spoilage Visualization of Whole Tomatoes by Using Hyper/Multispectral Imaging

The choice of selecting fruit for canned whole tomatoes is driven by several quality attributes including sweetness, acidity, and softness of tomatoes. Moreover, tomatoes can be contaminated with a variety of molds during cultivation, harvest, and transportation. Conventional evaluation operations for tomato softness and microbial spoilage are usually time-consuming, destructive, and high-cost. One strategy for rapid tomato sorting is to utilize hyper/multispectral imaging. This paper proposes to improve on traditional broad-band infrared imaging of existing color and dirt sorters by increasing the spectral resolution of the information collected. The findings of this study will characterize the potential of the technology in terms of predicting tomato softness and identification of tomato microbial spoilage for further development by the industry.
Bioinspired Superwettability Micro/Nanoarchitectures: Fabrications and Applications

Biological systems have evolved over billions of years to develop wetting strategies for advantageous structure–property–performance relations that are crucial for their survival. The discovery of these intriguing relationships has inspired tremendous efforts to investigate the micro/nanoscale features of naturally occurring structures with superwettability. Researchers have since developed new methods and techniques to construct artificial materials that mimic natural structures and functionalities. Here, a brief review of natural hierarchical architectures with liquid repellent properties is presented, and the critical underlying mechanism is summarized with an emphasis on the micro/nanoscopic architectures. The state‐of‐the‐art micro/nanofabrication techniques for creating bioinspired hierarchical superwettability structures that are categorized by random and exquisite features are also reviewed, followed by an overview of their emerging applications, with special attention to biomedical‐related fields. The development of fabrication techniques enhances capabilities relative to those of living systems, paving the way toward advanced structural materials with superior functions and unprecedented characteristics for potential applications.
Intercomparison of Cloud Properties in DYAMOND Simulations over the Atlantic Ocean

We intercompared the cloud properties of the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains (DYAMOND) simulation output over the Atlantic Ocean. The domain averaged outgoing longwave radiation (OLR) is relatively similar across the models, but the net shortwave radiation at the top of the atmosphere (NSR) shows large differences among the models. The models capture the triple modes of cloud systems corresponding to shallow, congestus, and high clouds, although their partition in these three categories is strongly model dependent. The simulated height of the shallow and congestus peaks is more robust than the peak of high clouds, whereas cloud water content exhibits larger intermodel differences than does cloud ice content. Furthermore, we investigated the resolution dependency of the vertical profiles of clouds for NICAM (Nonhy drostatic ICosahedral Atmospheric Model), ICON (Icosahedral Nonhydrostatic), and IFS (Integrated Forecasting System). We found that the averaged mixing ratio of ice clouds consistently increased with finer grid spacing. Such a consistent signal is not apparent for the mixing ratio of liquid clouds for shallow and congestus clouds. The impact of the grid spacing on OLR is smaller than on NSR and also much smaller than the intermodel differences.
Potential value of PRKDC as a therapeutic target and prognostic biomarker in pan-cancer

Background: While protein kinase, DNA-activated, catalytic subunit (PRKDC) plays an important role in double-strand break repair to retain genomic stability, there is still no pan-cancer analysis based on large clinical information on the relationship between PRKDC and different tumors. For the first time, this research used numerous databases to perform a pan-cancer review for PRKDC to explore the possible mechanism of PRKDC in the etiology and outcomes in various tumors. Methods: PRKDC’s expression profile and prognostic significance in pan-cancer were investigated based on various databases and online platforms, including TIMER2, GEPIA2, cBioPortal, CPTAC, and SangerBox. We applied the TIMER to identified the interlink of PRKDC and the immune infiltration in assorted tumors, and the SangerBox online platform was adopted to find out the relevance between PRKDC and immune checkpoint genes, tumor mutation burden, and microsatellite instability in tumors. GeneMANIA tool was employed to create a protein–protein interaction analysis, gene set enrichment analysis was conducted to performed gene enrichment analysis. Results: Overall, tumor tissue presented a higher degree of PRKDC expression than adjacent normal tissue. Meanwhile, patients with high PRKDC expression have a worse prognosis. PRKDC mutations were present in almost all The Cancer Genome Atlas tumors and might lead to a better survival prognosis. The PRKDC expression level was shown a positive correlation with tumor-infiltrating immune cells. PRKDC high expression cohorts were enriched in “cell cycle” “oocyte meiosis” and “RNA-degradation” signaling pathways. Conclusions: This study revealed the potential value of PRKDC in tumor immunology and as a therapeutic target and prognostic biomarker in pan-cancer.
DETERMINATION THE OPTIMUM CONDITIONS OF LACCASE PRODUCTION FROM LOCAL ISOLATE OF STREPTOMYCES SP. USING SOLID STATE FERMINTATION

Six different bacterial and fungal isolates included Pseudomonas sp. , Bacillus sp. , Candida sp. , Klaveromyces sp. , Aspergillus sp. and Streptomyces sp. were tested to produce laccase enzyme by using submerged fermentation, Streptomyces sp. , Candida sp. , and Pseudomonas sp. were chosen as being the heaviest in terms of enzyme production, and were tested for laccase production by solid state fermentation using different supports such as a solid media including sawdust with 0.06% xylene, sawdust and bran mixture (2:1) with 0.06% xylene. By using a combination of sawdust and bran (2:1), the productivity of laccase produced from Streptomyces sp. , Candida and Pseudomonas sp. reached 177.8, 144.3 and 103.46 U. g-1 respectively. Streptomyces sp. , isolate was chosen for laccase production. Optimum conditions for laccase production was determined from the selected isolate Streptomyces sp. by using an amalgamation of sawdust and bran (2:1) in pH 5.5 and the medium was incubated at 30oC for 14 days. This specific activity for laccase enzyme reached 1315 U.mg-1. The maximum removal efficiency of textile dyes such as (yellow, red and black) by crude laccase was reached 87%, 43% and 74% respectively after a period of 3 hours.
Improved Block-Pulse Functions for Numerical Solution of Mixed Volterra-Fredholm Integral Equations

The present paper employs a numerical method based on the improved block–pulse basis functions (IBPFs). This was mainly performed to resolve the Volterra–Fredholm integral equations of the second kind. Those equations are often simplified into a linear system of algebraic equations through the use of IBPFs in addition to the operational matrix of integration. Typically, the classical alterations have enhanced the time taken by the computer program to solve the system of algebraic equations. The current modification works perfectly and has improved the efficiency over the regular block–pulse basis functions (BPF). Additionally, the paper handles the uniqueness plus the convergence theorems of the solution. Numerical examples have been presented to illustrate the efficiency as well as the accuracy of the method. Furthermore, tables and graphs are used to show and confirm how the method is highly efficient.
Ethnic Identity and Acculturation Orientation of Chinese Yi Villagers in the Context of Social Media

In the information age, the widespread application of social media will impact the ethnic identity and acculturation of ethnic minority individuals. In this study, 522 Yi people from different Yi branches were selected to investigate the relationship between their ethnic identity and acculturation orientation and the role of social media and social support. The results showed that :(1) the acculturation patterns of Yi villagers were mainly integrated, and experienced from separation to integration, then assimilation and marginalization after mixed; (2) The individual differences of acculturation orientation were significant, but the individual differences of ethnic identity were not; (3) Ethnic identity had a positive impact on original acculturation attitude but had no significant effect on mainstream acculturation attitude; (4) Social media had a negative predictive effect on the original acculturation attitude, a positive predictive effect on the mainstream acculturation attitude, and a negative moderating effect on the relationship between ethnic identity and original acculturation attitude; (5) Social support has a positive predictive effect on both acculturation attitudes. Therefore, the government and relevant departments should strengthen social media's popularization in pure Yi areas, enhance social support in mixed areas, and improve education and economic development to improve the acculturation of the Yi villagers effectively.
Relationship of Music Therapy on Azheimer’s Disease and it’s impact

Dementia word represents sequence of medical problems which causes damage the brain and gradually it develops time to time. As Stated By medical research, its more than 200 subtypes and provokes to dementia with Alzheimer’s disease (AD) which occurs in most of the old age people.AD is unchangeable growing autoimmune problem which affects Daily life cognitive process activities like thinking skills are disrupted In Advanced progressive stage thought process falls down and easy task makes them critical and unworkable. AD Patients and families life quality transfers drastically and it effects very bad on caretakers bodied &psychiatric conditions. This survey explains the writings of research in order to disclose the advantage of appealing non-developmental interference like canonic music therapy to upgrade the AD Patients life of the quality. The report purpose is to focus on the footprint of this AD on the caretakers life.AD patients finding better by Symphonic music therapy which showing sound results in the treatment and improved acculturation and the keeping there dignity & reputation of the life.
Next-Generation Sequencing of Patients With Breast Cancer in Community Oncology Clinics

PURPOSE Molecular biomarkers informing disease diagnosis, prognosis, and treatment decisions in patients with breast cancer are being uncovered by next-generation sequencing (NGS) technologies. In this study, we survey how NGS is used for patients with breast cancer in real-world settings with a focus on physician behaviors and sequencing results. METHODS We conducted a retrospective analysis of patients with breast cancer who received NGS testing from commercial vendors as part of standard of care from 2014 to 2019. A total of 2,635 NGS reports from 2,316 unique breast cancer patients were assessed. Hormone receptor and human epidermal growth factor receptor 2 statuses were abstracted from patient medical records. Comparative gene amplification and mutation frequencies were analyzed using Pearson's correlation and Lin's concordance statistics. RESULTS The number of physicians ordering NGS tests for patients with breast cancer increased more than six-fold from 2014 to 2019. Tissue- and plasma-based tests were ordered roughly equally by 2019, with plasma-based testing ordered most frequently in hormone receptor–positive subtypes. Patients with triple-negative breast cancer were most likely to receive NGS testing. Gene amplifications including ERBB2 were detected less frequently in our real-world data set as compared to previous genomic landscape studies, whereas the opposite was true for gene mutations including ESR1. Pathogenic mutations in the PI3K pathway (38.6%) and DNA damage repair pathway (11.0%) were frequently reported. Alterations were also reported across other cellular pathways. CONCLUSION Overall, we found that an increasing number of physicians in community settings are adopting NGS in the care of patients with breast cancer. Discrepancies between our real-world NGS data and previous genomic landscape studies are likely owed to the prevalence of plasma-based testing in community oncology clinics, as the reference data were from tissue-based NGS alone. Real-world NGS data from >2,000 breast cancer patients reveals distinct gene amplification and mutation patterns
Spray pyrolysis‐assisted synthesis of hollow cobalt nitrogen‐doped carbon catalyst for the performance enhancement of membraneless fuel cells

Hollow cobalt nitrogen‐doped carbon (H‐CoNC) is suggested for use in the membraneless hydrogen peroxide fuel cell (HPFC) and enzymatic biofuel cell (EBC) as anodic catalyst boosting hydrogen peroxide oxidation reaction (HPOR). For fabricating H‐CoNCs, a facile spray pyrolysis‐assisted process is used, and such produced H‐CoNCs show a porous and hollow‐shell structure, while they include a large amount of isolated Co atoms and coordinate bonds with Co and nitrogen (CoN4). This structure promotes mass transfer to the active site and excellent catalytic activity for HPOR. With these benefits of H‐CoNCs, the current density of the bioanode consisting of H‐CoNC, carbon nanotube, and glucose oxidase (H‐CoNC/CNT/GOx) observed at 0.3 V under 150 mM glucose is 315.5 μA cm−2, which is 2.1 times higher than that of a conventionally synthesized catalyst using Co‐doped carbon nanoparticles (CoNC‐NPs) (CoNC‐NPs/CNT/GOx, 146.2 μA cm−2). With this superior catalytic activity for HPOR, maximum power density (MPD) of membraneless EBC using H‐CoNC/CNT/GOx is 33.8 ± 4.52 μW cm−2, which is 52% higher than that of CoNP‐NPs/CNT/GOx. In addition, a membraneless HPFC using H‐CoNC/CNT demonstrates 4.87 times higher MPD (231.3 ± 11.3 μW cm−2) than that using CoNC‐NPs/CNT, proving that H‐CoNC improves the performance of fuel cells by its excellent catalytic activity.
Co-design of an adaptive hyperspectral imager based on MEMS arrays: From proof of principle to a research prototype

We have defined a hyperspectral imager based on micro-mirror MEMS array, that features easily adaptable spectral resolution, adjustable acquisition time, and high spatial resolution independent of spectral resolution. We present the development of an integrated research prototype of the imager, that allows the control of both the micro-mirrors array and CMOS data reading from the same FPGA board, so as to allow the definition of acquisition schemes adapted to the scene in real time.
Hyperspectral Image Classification Using Attention-Based Bidirectional Long Short-Term Memory Network

Deep neural networks have been widely applied to hyperspectral image (HSI) classification areas, in which recurrent neural network (RNN) is one of the most typical networks. Most of the existing RNN-based classifiers treat the spectral signature of pixels as an ordered sequence, in which only unidirectional correlation along the wavelength direction of adjacent bands is considered. However, each band image is related to not only its preceding band images but also its successive band images. In order to fully explore such bidirectional spectral correlation within an HSI, in this article, a bidirectional long short-term memory (Bi-LSTM)-based network is designed for HSI classification. Moreover, a spatial–spectral attention mechanism is designed and implemented in the proposed Bi-LSTM network to emphasize the effective information and reduce the redundant information among spatial–spectral context of pixels, by which the performance of classification can be greatly improved. Experimental results over three benchmark HSIs, i.e., Salinas Valley, Pavia Centre, and Pavia University, demonstrate that our proposed Bi-LSTM obviously outperforms several state-of-the-art unidirectional RNN-based classification algorithms. Moreover, the proposed spatial–spectral attention mechanism can further improve the classification accuracy of our proposed Bi-LSTM algorithm by effectively weighting spatial and spectral context of pixels. The source code of the proposed Bi-LSTM algorithm is available at https://github.com/MeiShaohui/Attention-based-Bidirectional-LSTM-Network.
Working parents’ experiences of home-schooling during school closures in Northern Ireland: what lessons can be learnt?

In a radically changed and still changing world, parents, schools and pupils have had to adapt to a new teaching and learning modality. Working parents have faced the competing demands of employment and home-schooling, and schools provided support to pupils through online platforms and other resources. A qualitative approach elicited the views and experiences of working parents through a social media parents’ group in Northern Ireland (NI). Only well-educated mothers responded revealing their extreme lack of confidence and pedagogical skills, complete exhaustion, frayed family relationships, and acute concern about children’s educational loss and its future implications, particularly those for whom public examinations were imminent. Communication between teachers and both pupils and parents was deemed crucial, as were greater clarity from teachers on tasks set, less screen time, daily live interaction, feedback on work done, and more printed resources from schools to avoid undue expense for parents, especially those with children of different ages in different education sectors. Much more effective home-schooling could be facilitated if government required employers to arrange flexible working hours, at least for one parent. However, the creation of a daily structure that included lessons and leisure, the latter both indoors and outdoors, was beneficial and therapeutic.
Low Reynolds number capture of small particles on cylinders by diffusion, interception, and inertia at subcritical Stokes numbers

Abstract We predict the capture fraction η(Pe, R, Stk, Re) for cylinders at subcritical Stokes numbers Stk < Stk*, at small values of: the Reynolds number (Re), the inverse Peclet number (1/Pe), and the particle/fiber radius ratio (R = ap /a f ). Inertial effects are described by matching an outer deterministic region with an inner near-wall region. In the first, Newtonian trajectory calculations along the stagnation streamline yield the particle concentration n w at the stagnation point, which may exceed the upstream value n ∞ by a large enrichment ratio E(Stk) ≡ nw /n ∞. At given Stk, all capturable particles originate very near the stagnation line, having approximately the same n w /n ∞. Inertial effects decay greatly in the vicinity of the wall, whence the particle velocity for the inner problem is describable locally as a small perturbation of the fluid velocity. Furthermore, Friedlander’s diffusion-interception similarity parameter Π∼Pe 1/3 R still applies at finite inertia, reducing the inner problem to the (numerical) solution of a linear second order parabolic partial differential equation with only Π and Stk as parameters. Normalizing η(Pe, R, Stk, Re) with its stagnation point value results in a function F(Π, S) taking values of order unity in the whole domain of its (only) two variables. F(Π, S) is computed in the limits Π = 0 (no interception) and Π = ∞ (no diffusion). Its determination at small or large Π is only sketched. Recasting into self-similar form prior calculations yields F(Π, 0) in the interesting range 0 < Π < 2. The universal function F(Π, S) remains to be computed at values of Π of order unity. Copyright © 2019 American Association for Aerosol Research
Adolescents’ Online Coping: When Less Is More but None Is Worse

Mobile technologies are omnipresent across adolescent life and require better characterization of their potential benefits. Adolescents also experience high rates of daily stress so that investigating youths’ technology use in relation to their stress response is of practical importance. We employed experience sampling data from a subset of 115 youths (n = 1,241 time points) who reported on their technology-based coping and assessed how these related to emotion change throughout the day and controlled for important covariates. Models testing for the benefits of moderate use (relative to no or heavy use; i.e., Goldilocks effect) showed a clear pattern of positive effects of moderate coping online, particularly in relation to support seeking and self-distraction. Moderate online coping was adaptive and often fostered declines in negative emotion.
Caffeine as a naturally green and biodegradable catalyst promoted convenient and expedient synthetic route for the synthesis of polysubstituted dihydro-2-oxypyrroles

A green, convenient, high yielding and one-pot procedure for synthesis of high substituted dihydro-2-oxypyrroles by domino four-component condensation reaction between aromatic/aliphatic amines , dialkyl acetylenedicarboxylate and formaldehyde in the presence of a catalytic amount of caffeine as a green, natural, expedient and biodegradable catalyst under ambient temperature was studied. The salient features of this green approach are simplicity of operation and work-up procedures with no necessity of chromatographic purification steps, use of safe, non-volatile, non-corrosive and green catalyst, the availability and easy to handle of this solid catalyst, one-pot reaction, economical and clean synthesis. KEY WORDS : Caffeine, Green catalyst, Polysubstituted dihydro-2-oxypyrroles, Ambient temperature, Simple work-up Bull. Chem. Soc. Ethiop. 2019 , 33(1), 149-158 DOI: https://dx.doi. org/10.4314/bcse.v33i1. 15