Miracle-dz/UniFAR-FTUs huggingface dataset:
Edge, Fog and Cloud-based Smart Communications for IoT Network based Services & Applications

The Internet of Things is increasing its span in our daily life, intelligent homes, agriculture, industries and smart cities are few popular fields among application areas. Use of smart devices connected over the network can be seen in the mentioned fields. Vast data is collected through the connected devices using wireless sensors and then transmitted over the network to the edge and cloud for the computation. The increase in sensory devices lead to more data generation thereby there is also raise in wireless terminals as now more data is generated. This brings some challenges that need to be resolved, like processing delay leading to more time consumption, data bandwidth issues affecting data transfer rate and computation capability. It has been identified that massive work needs to be researched on communication medium to provide IoT services among the applications. Various frameworks like TelcoFog, Edge framework, CoSMOS, ROUTER, FogFlow, Deep Learning and IoTecture were studied and their results were analysed. This paper aims to understand the role of different communication channels for edge/fog and cloud-based computing, and understand their role in different computation methodologies.
The Effects of Urban Green Space on Depressive Symptoms of Mid-Aged and Elderly Urban Residents in China: Evidence from the China Health and Retirement Longitudinal Study

The aim of this study is to assess the impacts of urban green space on depressive symptoms among Chinese urban residents aged 45 and older. In total, 7397 urban respondents were included in this study. Each respondent participated in the China Health and Retirement Longitudinal Study Wave 3 (2015). Environmental-level variables were retrieved from the National Bureau of Statistics database. Both unadjusted and adjusted methods were used in the multilevel regression analysis. Almost one-third of the sample population suffered from depressive symptoms (31.20%). The multilevel logistic regression model showed that green coverage ratio of city-built districts is negatively associated with the prevalence of depressive symptoms among urban mid-aged (OR = 0.79, p < 0.05) and elderly (OR = 0.75, p < 0.05) residents, and the public recreational green space helps to reduce elderly people’s depressive symptoms (OR = 0.77, p < 0.05). This study adds insights about the impact of green space and other environmental factors on depressive symptoms among mid-aged and elderly urban dwellers. It is important to provide enough and accessible overall urban green spaces; additionally, attention should also be paid to specific green space forms such as public recreational green space.
Simulating Multi-Asset Classes Prices Using Wasserstein Generative Adversarial Network: A Study of Stocks, Futures and Cryptocurrency

Financial data are expensive and highly sensitive with limited access. We aim to generate abundant datasets given the original prices while preserving the original statistical features. We introduce the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) into the field of the stock market, futures market and cryptocurrency market. We train our model on various datasets, including the Hong Kong stock market, Hang Seng Index Composite stocks, precious metal futures contracts listed on the Chicago Mercantile Exchange and Japan Exchange Group, and cryptocurrency spots and perpetual contracts on Binance at various minute-level intervals. We quantify the difference of generated results (836,280 data points) and original data by MAE, MSE, RMSE and K-S distances. Results show that WGAN-GP can simulate assets prices and show the potential of a market simulator for trading analysis. We might be the first to look into multi-asset classes in a systematic approach with minute intervals across stocks, futures and cryptocurrency markets. We also contribute to quantitative analysis methodology for generated and original price data quality.
THE USE OF SHADOWING TO TEACH ENGLISH PRONUNCIATION IN AN ONLINE LEARNING ENVIRONMENT

Shadowing is a technique in which language learners repeat aural stimuli in a foreign language without a delay. Even though this approach has been used extensively in interpreter training programmes and language classes in Japan, it is still relatively unknown in the West. This technique has proven to be particularly beneficial in terms of pronunciation development: it was reported to lead to the improvement of articulation speed, word accent, pitch accent, intonation, comprehensibility, and imitation skills. In this study, the main focus was directed towards the acquisition of English pronunciation via shadowing by 29 Mexican learners in an online environment. The learners carried out two tasks (reading aloud and shadowing a fable by Aesop) at the beginning and at the end of a pronunciation course, following the pretest-posttest experimental design. This investigation may be particularly valuable since it was conducted in an exclusively virtual environment and combines the latest trends of information and communications technology and applied linguistics. In spite of the fact that the study is still in progress, the preliminary analyses of the audios and of the learners’ questionnaires suggest that shadowing appears to be highly valuable in terms of comprehensibility development as it facilitates the acquisition of such prosodic features as sentence stress, rhythm, and intonation. Accentedness showed less improvement in most English learners for various reasons. Regarding the learners’ attitude towards shadowing, the results of the final questionnaire indicate that this technique positively affects learners’ motivation. The preliminary findings obtained in this investigation are reported in light of the past-to-present literature in the sphere of shadowing, Troubetzkoy’s phonological sieve theory and the current models of language acquisition: Long’s sensitive periods theory and Flege’s Speech Learning Model.
ScRpb4, Encoding an RNA Polymerase Subunit from Sugarcane, Is Ubiquitously Expressed and Resilient to Changes in Response to Stress Conditions

RNA polymerase II is an essential multiprotein complex that transcribes thousands of genes, being a fundamental component of the transcription initiation complex. In eukaryotes, RNA polymerase II is formed by a 10-multisubunit conserved core complex, and two additional peripheral subunits, Rpb4 and Rpb7, form the Rpb4/7 subcomplex. Although transcription is vital for cell and organismal viability, little is known about the transcription initiation complex in sugarcane. An initial characterization of the sugarcane RNA polymerase subunit IV (ScRpb4) was performed. Our results demonstrate that ScRpb4 is evolutionarily conserved across kingdoms. At the molecular level, ScRpb4 expression was found in vegetative and reproductive tissues. Furthermore, the expression of ScRpb4 remained stable under various stress conditions, most likely to ensure a proper transcriptional response. Optimal conditions to express ScRpb4 in vitro for further studies were also identified. In this study, an initial characterization of the sugarcane polymerase II subunit IV is presented. Our results open the window to more specific experiments to study ScRpb4 function, for instance, crystal structure determination and pull-down assays as well as their function under biotic and abiotic stresses.
Late Pleistocene-dated divergence between South Hemisphere populations of the non-conventional yeast L. cidri.

Most organisms belonging to the Saccharomycotina subphylum have high genetic diversity and a vast repertoire of metabolisms and lifestyles. Lachancea cidri is an ideal yeast model for exploring the interplay between genetics, ecological function and evolution. Lachancea cidri diverged from the Saccharomyces lineage before the whole-genome duplication and is distributed across the South Hemisphere, displaying an important ecological success. We applied phylogenomics to investigate the genetic variation of L. cidri isolates obtained from Australia and South America. Our approach revealed the presence of two main lineages according to their geographic distribution (Aus and SoAm). Estimation of the divergence time suggests that SoAm and Aus lineages diverged near the last glacial maximum event during the Pleistocene (64-8 KYA). Interestingly, we found that the French reference strain is closely related to the Australian strains, with a recent divergence (405-51 YA), likely associated to human movements. Additionally, we identified different lineages within the South American population, revealing that Patagonia contains a similar genetic diversity comparable to that of other lineages in S. cerevisiae. These findings support the idea of a Pleistocene-dated divergence between South Hemisphere lineages, where the Nothofagus and Araucaria ecological niches likely favoured the extensive distribution of L. cidri in Patagonia.
Application of Highly Flexible Adaptive Image Receive Coil for Lung MR Imaging Using Zero TE Sequence: Comparison with Conventional Anterior Array Coil

(1) Background: Highly flexible adaptive image receive (AIR) coil has become available for clinical use. The present study aimed to evaluate the performance of AIR anterior array coil in lung MR imaging using a zero echo time (ZTE) sequence compared with conventional anterior array (CAA) coil. (2) Methods: Sixty-six patients who underwent lung MR imaging using both AIR coil (ZTE-AIR) and CAA coil (ZTE-CAA) were enrolled. Image quality of ZTE-AIR and ZTE-CAA was quantified by calculating blur metric value, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of lung parenchyma. Image quality was qualitatively assessed by two independent radiologists. Lesion detection capabilities for lung nodules and emphysema and/or lung cysts were evaluated. Patients’ comfort levels during examinations were assessed. (3) Results: SNR and CNR of lung parenchyma were higher (both p < 0.001) in ZTE-AIR than in ZTE-CAA. Image sharpness was superior in ZTE-AIR (p < 0.001). Subjective image quality assessed by two independent readers was superior (all p < 0.05) in ZTE-AIR. AIR coil was preferred by 64 of 66 patients. ZTE-AIR showed higher (all p < 0.05) sensitivity for sub-centimeter nodules than ZTE-CAA by both readers. ZTE-AIR showed higher (all p < 0.05) sensitivity and accuracy for detecting emphysema and/or cysts than ZTE-CAA by both readers. (4) Conclusions: The use of highly flexible AIR coil in ZTE lung MR imaging can improve image quality and patient comfort. Application of AIR coil in parenchymal imaging has potential for improving delineation of low-density parenchymal lesions and tiny nodules.
A Brief Online Implicit Bias Intervention for School Mental Health Clinicians

Clinician bias has been identified as a potential contributor to persistent healthcare disparities across many medical specialties and service settings. Few studies have examined strategies to reduce clinician bias, especially in mental healthcare, despite decades of research evidencing service and outcome disparities in adult and pediatric populations. This manuscript describes an intervention development study and a pilot feasibility trial of the Virtual Implicit Bias Reduction and Neutralization Training (VIBRANT) for mental health clinicians in schools—where most youth in the U.S. access mental healthcare. Clinicians (N = 12) in the feasibility study—a non-randomized open trial—rated VIBRANT as highly usable, appropriate, acceptable, and feasible for their school-based practice. Preliminarily, clinicians appeared to demonstrate improvements in implicit bias knowledge, use of bias-management strategies, and implicit biases (as measured by the Implicit Association Test [IAT]) post-training. Moreover, putative mediators (e.g., clinicians’ VIBRANT strategies use, IAT D scores) and outcome variables (e.g., clinician-rated quality of rapport) generally demonstrated correlations in the expected directions. These pilot results suggest that brief and highly scalable online interventions such as VIBRANT are feasible and promising for addressing implicit bias among healthcare providers (e.g., mental health clinicians) and can have potential downstream impacts on minoritized youth’s care experience.
Synthesis, Molecular Modeling, DNA Damage Interaction, and Antioxidant Potential of Hesperidin Loaded on Gold Nanoparticles

The flavonoglycone hesperidin is recognized as a potent anti-inflammatory, anticancer, and antioxidant agent. However, its poor bioavailability is a crucial bottleneck regarding its therapeutic activity. Gold nanoparticles are widely used in drug delivery because of its unique properties that differ from bulk metal. Hesperidin loaded gold nanoparticles were successfully prepared to enhance its stability and bioactive potential, as well as to minimize the problems associated with its absorption. The free radical scavenging activities of hesperidin, gold nanoparticles, and hesperidin loaded gold nanoparticles were compared with that of Vitamin C and subsequently evaluated in vitro using 2,2-diphenyl-1-picrylhydrazyl assay. The antioxidant pharmacophore-based structure-activity relationship analysis was assessed by the density functional theory as well as quantum chemical calculations. Moreover, the structural properties were utilized using Becke’s three-parameter hybrid exchange and Lee-Yang-Parr’s correction of functional approaches. Hesperidin-loaded gold nanoparticles were found to decrease hydrogen peroxide (H2O2) and thus induce Deoxyribonucleic acid (DNA) instability. In addition, hesperidin-gold nanoparticles were observed to display important antioxidant potential as well as ameliorate the functional activity of macrophages against Escherichia coli, possibly protecting DNA. These particles might be appropriate for clinical trials and could prove useful for the treatment of various life-threatening disorders.
Proliferation activity in the polyps of Cassiopea xamachana: where the planuloid buds grow

Polyps of the Cassiopeidae family possess a unique type of asexual reproduction by producing free-swimming buds — planuloids. The process of planuloid development and transformation to polyp has been described earlier, however, the source of tissue formation is still poorly studied. Using the method of EdU incorporation we have analyzed DNA synthesis activity during planuloid formation and growth in Cassiopea xamachana. We revealed the active proliferation zone at the early stage of bud formation. This zone continued to function during planuloid growth, providing the formation of polyp structures, and preserved in polyp calyx after metamorphosis. Its proliferation activity varied at different growth stages, whereas the localization remained relatively the same.
Effect of Diet Supplementation with the Mycotoxin Binder Montmorillonite on the Bioavailability of Vitamins in Dairy Cows

The objective of this study was to determine the effect of the mycotoxin binder montmorillonite (MMT) supplemented in the diet of dairy cows on the bioavailability of vitamins A, D, E, B1 and B6. Six multiparous Holstein-Friesian cows were used in a crossover design with two periods. Treatments were a control diet with or without MMT. Vitamins were infused individually into the abomasum through the ruminal cannula. Blood samples were collected from the jugular vein at 0, 1, 2, 3, 4, 6, 9, 12, 24 and 48 h after the administration of each vitamin. Results showed that vitamin A reached maximal concentration (Tmax) at 5.3 h after dosing, the maximal concentration (Cmax) was 1.2 times higher than the basal concentration (Cbasal), and the area under the curve (AUC) was 739 arbitrary units. Vitamin B6 reached the Tmax at 13 h after dosing, the Cmax was 1.4 times higher than the Cbasal, and the AUC was 222 arbitrary units. No differences were observed in Cbasal, Tmax, Cmax and AUC of vitamin A and B6 between control vs. MMT-supplemented cows. Plasma concentrations of vitamins D, E and B1 had no concentration peaks, and were not affected by MMT addition. The lack of a response suggests that their plasma concentration may be tightly regulated. Results of this study do not show evidence that MMT affects the bioavailability of vitamins A and B6 in vivo.
Afatinib Treatment Alone or with Bevacizumab in a Real-World Cohort of Non-Small Cell Lung Cancer Patients with Epidermal Growth Factor Receptor Mutation

Simple Summary Previous studies of first-generation EGFR-TKI erlotinib and bevacizumab combination have demonstrated superior treatment efficacy compared to erlotinib monotherapy for advanced EGFR-mutant NSCLC patients. Whether this combination benefit can also be observed in second-generation EGFR-TKI afatinib-treated patients remains unclear. The study presented a real-world cohort of advanced NSCLC patients with EGFR mutation treated by afatinib plus bevacizumab or single-agent afatinib. After balancing the key characteristics between the two treatment groups, the result showcased a similar therapeutic efficacy of afatinib plus bevacizumab compared to afatinib monotherapy. The incidence of drug-resistant mutation was also similar between the two groups. This study provided a clinical practice-based evidence that the additional benefit of bevacizumab is likely moderate in afatinib-treated patients. Abstract Background: Treatment outcome between afatinib alone or with bevacizumab in non-small cell lung cancer (NSCLC) patient with epidermal growth factor receptor (EGFR) mutation remains insufficiently reported. Methods: A total of 405 advanced NSCLC patients with sensitizing-EGFR mutation receiving first-line single-agent afatinib or with bevacizumab were grouped and propensity score-matched. Progression-free survival (PFS), overall survival (OS) and secondary T790M mutation were analyzed. Results: In the original cohort, 367 (90.6%) patients received afatinib treatment alone and 38 (9.4%) patients received afatinib plus bevacizumab. Patients who received bevacizumab combination were significantly younger (54.6 ± 10.9 vs. 63.9 ± 11.5; p < 0.001) compared to the afatinib alone group. After propensity score matching, the afatinib alone and afatinib plus bevacizumab groups contained 118 and 34 patients, respectively. A non-significantly higher objective response was noted in the afatinib plus bevacizumab group (82.4% vs. 67.8%; p = 0.133). In the propensity score-matched cohort, a bevacizumab add-on offered no increased PFS (16.1 vs. 15.0 months; p = 0.500), risk reduction of progression (HR 0.85 [95% CI, 0.52–1.40]; p = 0.528), OS benefit (32.1 vs. 42.0 months; p = 0.700), nor risk reduction of death (HR 0.85 [95% CI, 0.42–1.74] p = 0.660) compared to the single-agent afatinib. The secondary T790M rate in afatinib plus bevacizumab and afatinib alone groups was similar (56.3% vs. 49.4%, p = 0.794). Multivariate analysis demonstrated that EGFR L858R (OR 0.51 [95% CI, 0.26–0.97]; p = 0.044), EGFR uncommon mutation (OR 0.14 [95% CI, 0.02–0.64]; p = 0.021), and PFS longer than 12 months (OR 2.71 [95% CI, 1.39–5.41]; p = 0.004) were independent predictors of secondary T790M positivity. Conclusion: Bevacizumab treatment showed moderate efficacy in real-world, afatinib-treated NSCLC patients with EGFR-sensitizing mutation.
Role of Oxidative Stress as a Marker of Cardiovascular Risk in Children on Regular Hemodialysis

Introduction: Chronic kidney disease (CKD) is a major public health problem worldwide, and its main consequences include loss of renal function leading to end-stage renal disease (ESRD), increased risk of cardiovascular disease (CVD), significant increase in morbidity and mortality, and a decrease in health-related quality of life. Aims and Objectives: The basic aim of the study is to analyze the oxidative stress and total antioxidant capacity as a biomarker of cardiovascular risk in those children who are on regular hemodialysis. Materials and Methods: This cross sectional study was conducted at DHQ hospital, Faisalabad during July 2020 to January 2021. The data were collected from the age of less than 18 years children of both sexes. There were 50 children who was selected for this study. At the time of the study, all the patients were on regular three HD sessions per week. In HD patients, venous blood samples were drawn immediately before and after hemodialysis session. Baseline laboratory investigations were carried out for all patients and controls including complete blood count, serum urea and creatinine, arterial pH, arterial blood gases and infection screening, which included blood and urinary cultures by standard methods. Results: The data were collected from 50 dialysis patients. The mean age of this study is 15years. We collected all the demographic data of patients. The mean value of Urea is 64.34±2.44 mg/dl). At before-dialysis session, duration of disease positively correlated with TPX (r = 0.969, P <0.001), but, negatively correlated with TAC (r = −0.469, P <0.002). At after-dialysis session, HIF-1α negatively correlated with each of TPX (r = −0.529, P <0.001) and OSI (r = −0.459, P <0.003); while, OSI positively correlated with TPX (r = 0.944, P <0.001). Conclusion: It is concluded that HD patients, the clinical and prognostic significance of oxidative status associated with cardiovascular risk factors is very different from the general population. Although a direct causality cannot be inferred from such kind of correlative investigations.
Engineering Nanoplatform for Combined Cancer Therapeutics via Complementary Autophagy Inhibition

Despite advances in the development of tumor treatments, mortality from cancer continues to increase. Nanotechnology is expected to provide an innovative anti-cancer therapy, to combat challenges such as multidrug resistance and tumor recurrence. Nevertheless, tumors can greatly rely on autophagy as an alternative source for metabolites, and which desensitizes cancer cells to therapeutic stress, hindering the success of any current treatment paradigm. Autophagy is a conserved process by which cells turn over their own constituents to maintain cellular homeostasis. The multistep autophagic pathway provides potentially druggable targets to inhibit pro-survival autophagy under various therapeutic stimuli. In this review, we focus on autophagy inhibition based on functional nanoplatforms, which may be a potential strategy to increase therapeutic sensitivity in combinational cancer therapies, including chemotherapy, radiotherapy, phototherapy, sonodynamic therapy, and immunotherapy.
Equipping Property Graduates for the Digital Age

Bridging the gaps between property graduates’ attributes and industry expectations has been touted to be the key driver of sustainable development for the next generation of the workforce. This study investigated property-related knowledge and skills from the perspective of property employers and graduates in Australia in the digital age by (1) identifying the most and least important knowledge and skillsets in the property sector; (2) examining the strategies used to develop the required knowledge and skillsets; and (3) ascertaining if there are differences in the knowledge and skillsets perceived to be necessary between employers and graduates. A questionnaire survey was undertaken across property employers affiliated with the Royal Institution of Chartered Surveyors (RICS) and graduates of an Australian university. The results showed that problem solving and time management are the most important knowledge and skills for property employers and graduates, respectively. Notably, there were statistically significant differences in the perceived importance of course directors maintaining close communication with employers, real-life case study-based school assessment, the use of various course delivery methods, inviting guest speakers, and internship training while studying between employers and graduates. This finding implies that Australian property professionals are yet to fully embrace technology in the digital age.