Miracle-dz/UniFAR-FTUs huggingface dataset:
HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures

Most data centers equipped their general-purpose processors with hardware accelerators to reduce power consumption and improve utilization. Hardware accelerators offer highly energy-efficient computation for a wide range of applications; however, their programming is not as efficient as processors. To bridge the gap, Intel developed a cloud-based infrastructure called DevCloud that connects Intel® Xeon® Scalable Processors to GPUs and FPGAs to deliver high compute performance for emerging workloads. DevCloud assists developers with their compute-intensive tasks and provides access to precompiled software optimized for Intel® architecture. To reduce programming complexity and minimize the barriers to adopt new innovative hardware technology, Intel also provided a unified, cross-architecture programming model called oneAPI based on the Data-Parallel C++ (DPC++) language. In this paper, we introduce HosNa, the first DPC++ benchmark suite that can be used for the evaluation of the Intel FPGAs and DPC++ productivity. Moreover, we present the characterization of proposed benchmarks and the evaluation of implemented hardware accelerators in terms of speedup and latency.
BFT in Blockchains: From Protocols to Use Cases

A blockchain is a distributed system that achieves strong security guarantees in storing, managing, and processing data. All blockchains achieve a common goal: building a decentralized system that provides a trustworthy service in an untrustworthy environment. A blockchain builds a Byzantine fault-tolerant (BFT) system in which decentralized nodes run a protocol to reach an agreement on the common system state. In this article, we focus on the research of BFT protocols. In particular, we categorize BFT protocols according to both the system models and workflow. We seek to answer these important questions: How has the research in BFT evolved in the past four decades, especially with the rise of blockchains? What are the driven needs for BFT research in the future?
Bio-Synthesized Silver Nanoparticles For Effective Photo- catalytic Degradation of Congo Red Dye in Aqueous Solutions: Optimization Studies Using Response Surface Methodology

Abstract The focus of the project is the new, low cost and simple nature mediated formation of silver nanoparticles (Ag-NPs) using leaf extract of Anisomeles malabarica. The shape and size, structure, element composition, and functional groups of green synthetic Ag-NPs have been studied by scanning electron microscopy (SEM), X-ray diffraction (XRD), energy dispersive X-ray (EDX), and Fourier Transform Infrared (FTIR), respectively. BET analysis has been used to calculate the specific surface area of the particles, and GC- MS analysis has been used to confirm the presence of biologically active components in leaf extracts. Based on the observed results, the possible formation mechanism of AgNPs has been given. The obtained Ag-NPs have the physical property of spherical shape and nature of crystallinity, with an average size of about 63 nm. Ag- NPs have shown promising potential in the removal of organic pollutants Congo red (CR) dyes. Dye removal as a function of contact time has also been carefully studied. The experimental value of the dye degradation study was fitted with a first-order linear kinetic model to understand the reaction rate. The response surface methodology is used to study the effect of catalyst concentration, dye concentration, and irradiation time on the percentage of dye degradation and process optimization based on Box-Behnken Design Methodology (RSM). The result of the RSM model value R2 = 99.97 % gives a satisfactory correlation between the experimental and predicted value for dye removal. After 15 minutes of reaction time, maximum degradation of 99.97 % was achieved under optimal conditions (1 mM dye concentration, 1 mg photocatalyst concentration). Therefore, we were able to produce the photocatalyst using Anisomeles malabarica leaf extract that can degrade azo dyes. GRAPHICAL ABSTRACT
WHAT IS GENERATIVE IN GENERATIVE DESIGN TOOLS? UNCOVERING TOPOLOGICAL GENERATIVITY WITH A C-K MODEL OF EVOLUTIONARY ALGORITHMS

Abstract Generative design (GD) algorithms is a fast growing field. From the point of view of Design Science, this fast growth leads to wonder what exactly is 'generated' by GD algorithms and how? In the last decades, advances in design theory enabled to establish conditions and operators that characterize design generativity. Thus, it is now possible to study GD algorithms with the lenses of Design Science in order to reach a deeper and unified understanding of their generative techniques, their differences and, if possible, find new paths for improving their generativity. In this paper, first, we rely on C-K ttheory to build a canonical model of GD, based independent of the field of application of the algorithm. This model shows that GD is generative if and only if it builds, not one single artefact, but a “topology of artefacts” that allows for design constructability, covering strategies, and functional comparability of designs. Second, we use the canonical model to compare four well documented and most advanced types of GD algorithms. From these cases, it appears that generating a topology enables the analyses of interdependences and the design of resilience.
Effectiveness of Metacognitive Regulation Intervention on Attention-Deficit–Hyperactivity Disorder Students’ Scientific Ability and Motivation

This study investigated the effect of metacognitive regulation (McR) intervention on attention-deficit–hyperactivity disorder (ADHD) students’ astronomy knowledge acquisition and learning motivation. Through a cognitive-behavioural treatment design, this study selected 97 ADHD learners who had poor academic performance. This study divided ADHD students randomly into one experimental group and one control group. After 15 weeks of intervention, results showed that the experimental group students performed significantly better than the control group in scientific abilities, learning motivation, and metacognition. Results suggested that the McR intervention is an effective approach for improving the ADHD students’ science knowledge learning abilities.
Urinary Soluble CD163 Levels Predict IgA Nephropathy Remission Status

Noninvasive biomarkers of disease activity are needed to predict disease remission status in patients with IgA nephropathy (IgAN). Soluble CD163 (sCD163), shed by monocytes and macrophages, is a potential biomarker in diseases associated with excessive macrophage activation. We investigated the association of urinary sCD163 (u-sCD163) with histopathological activity and clinical manifestations in 349 patients with biopsy-diagnosed IgAN. U-sCD163 was measured via enzyme-linked immunosorbent assay. In patients with IgAN, higher u-sCD163 levels were associated with histological lesions of greater severity, as well as more proteinuria and poorer renal function. Additionally, u-sCD163 was correlated with infiltration of tubulointerstitial CD163+ macrophages. High u-sCD163 levels (>3.57 ng/mg Cr) were associated with a 2.66-fold greater risk for IgAN remission failure in adjusted analyses. Adding u-sCD163 levels to the model containing clinical data at biopsy and MEST-C score significantly improved the risk prediction of IgAN remission status (AUC 0.788). Together, our results suggest that u-sCD163 may be a useful noninvasive biomarker to evaluate disease severity and remission status of IgAN.
Mapping the Genetic Regions Responsible for Key Phenology-Related Traits in the European Hazelnut

An increasing interest in the cultivation of (European) hazelnut (Corylus avellana) is driving a demand to breed cultivars adapted to non-conventional environments, particularly in the context of incipient climate change. Given that plant phenology is so strongly determined by genotype, a rational approach to support these breeding efforts will be to identify quantitative trait loci (QTLs) and the genes underlying the basis for adaptation. The present study was designed to map QTLs for phenology-related traits, such as the timing of both male and female flowering, dichogamy, and the period required for nuts to reach maturity. The analysis took advantage of an existing linkage map developed from a population of F1 progeny bred from the cross “Tonda Gentile delle Langhe” × “Merveille de Bollwiller,” consisting in 11 LG. A total of 42 QTL-harboring regions were identified. Overall, 71 QTLs were detected, 49 on the TGdL map and 22 on the MB map; among these, 21 were classified as major; 13 were detected in at least two of the seasons (stable-major QTL). In detail, 20 QTLs were identified as contributing to the time of male flowering, 15 to time of female flowering, 25 to dichogamy, and 11 to time of nut maturity. LG02 was found to harbor 16 QTLs, while 15 QTLs mapped to LG10 and 14 to LG03. Many of the QTLs were clustered with one another. The major cluster was located on TGdL_02 and consisted of mainly major QTLs governing all the analyzed traits. A search of the key genomic regions revealed 22 candidate genes underlying the set of traits being investigated. Many of them have been described in the literature as involved in processes related to flowering, control of dormancy, budburst, the switch from vegetative to reproductive growth, or the morphogenesis of flowers and seeds.
Prevalence of Fear of Falling and Its Association With Physical Function and Fall History Among Senior Citizens Living in Rural Areas of China

Background: Fear of falling (FOF) is as significant as a fall, leading to limited physical activity and poor quality of life among senior citizens. This study aimed to investigate the prevalence of FOF and its association with physical function and fall history among the senior citizens (≥75 years old) living in rural areas of China. Methods: This was a cross-sectional study conducted in eastern China from June to October 2019. All elderly participants were recruited during their attendance for the free health examinations in villages and towns organized by the local healthcare authorities. Data on sociodemographics, fall history, FOF conditions, self-reported comorbidity and regular medications were collected by face-to-face interview, and the physical function status was evaluated through a field test. Univariate and multivariate analyses were performed to compare the differences in physical function and fall history of senior citizens with/without FOF. Results: A total of 753 senior citizens (mean age = 79.04) participated in this study. Of these, 63.5% were aged 75–80. FOF was reported in 22.8% of the participants, while 18.5% had a fall in the past year. Among the senior citizens with and without a fall history, the prevalences of FOF were 38.8 and 19.2%, respectively. On multivariate analyses, FOF was independently associated with the Time Up and Go Test (TUG) duration (OR = 1.080; 95% CI: 1.034–1.128), 4-Stage Balance Test score (OR = 0.746; 95% CI: 0.597–0.931), fall history (OR = 2.633; 95% CI: 1.742–3.980), cerebral apoplexy (OR = 2.478; 95% CI: 1.276–4.813) and comorbidities (≥2) (OR = 1.637; 95% CI: 1.066–2.514), while the correlation between FOF and the 30-s chair stand test was only statistically significant in univariate analysis (Z = −3.528, p < 0.001). Conclusion: High prevalence of FOF is observed among the senior citizens living in rural areas of China. FOF is strongly correlated with physical function performance and fall history. Therefore, the implementation of targeted FOF prevention measures is key to improve the physical activity of the senior citizens, which would ultimately lead to fall prevention and improved quality of life.
Mobile Onsite drilling Waste Treatment (OWT) facilities - a solution for safer, cheaper, and environmentally friendly operations

Drilling mud waste, the by-product that generates from Drilling operation, should be treated to comply with GOI (Government of Indonesia) regulations. An oil and gas field in Sumatera Island operated by PT. X produced about 50,000 bbls water base mud per month, but the centralized mud treating facility (CMTF) was designed only to treat 30,000 bbls per month.Besides,transportation using vacuum truck is required to carry the waste from site to CMTF that creates potential of motor vehicle accidents while traveling.Using lean sigma framework with DMAIC methodology, a business case study was developed to find alternatives on how to manage the waste while also improving safety performance.We started with a pilot project, which is done very successfully, and then continuing with a full-scale implementation in the North area.Five (5) mobile (On Site Waste Treatment) OWT units with two (2) different technologies; electro-coagulation and advanced oxidation; are being operated to process drilling waste from the ground pit either while the rig is on location or after it is released. Each mobile OWT has capacity of 24,000 barrels/month. The effluent is regularly checked in the laboratory to ensure the output meets GOI regulations before release to environment. Implementing this Mobile OWT initiative has delivered added value to the Company of about US$375,000 over a nine (9) month period and improved HES compliance by reducing trips and mileage which in the end will reduce Motor Vehicle Crash (MVC) potential, especially when driving at night in our drilling waste operations.Future improvement could consider how to maintain the discharge solid while processing the mud waste from the same disposal pit; provide solid treating facility and application of closed loop drilling.
Quantitative Trait Loci Mapping of Adult Plant and Seedling Resistance to Stripe Rust (Puccinia striiformis Westend.) in a Multiparent Advanced Generation Intercross Wheat Population

Stripe rust caused by the biotrophic fungus Puccinia striiformis Westend. is one of the most important diseases of wheat worldwide, causing high yield and quality losses. Growing resistant cultivars is the most efficient way to control stripe rust, both economically and ecologically. Known resistance genes are already present in numerous cultivars worldwide. However, their effectiveness is limited to certain races within a rust population and the emergence of stripe rust races being virulent against common resistance genes forces the demand for new sources of resistance. Multiparent advanced generation intercross (MAGIC) populations have proven to be a powerful tool to carry out genetic studies on economically important traits. In this study, interval mapping was performed to map quantitative trait loci (QTL) for stripe rust resistance in the Bavarian MAGIC wheat population, comprising 394 F6 : 8 recombinant inbred lines (RILs). Phenotypic evaluation of the RILs was carried out for adult plant resistance in field trials at three locations across three years and for seedling resistance in a growth chamber. In total, 21 QTL for stripe rust resistance corresponding to 13 distinct chromosomal regions were detected, of which two may represent putatively new QTL located on wheat chromosomes 3D and 7D.
Review on the Development and Applications of Medicinal Plant Genomes

With the development of sequencing technology, the research on medicinal plants is no longer limited to the aspects of chemistry, pharmacology, and pharmacodynamics, but reveals them from the genetic level. As the price of next-generation sequencing technology becomes affordable, and the long-read sequencing technology is established, the medicinal plant genomes with large sizes have been sequenced and assembled more easily. Although the review of plant genomes has been reported several times, there is no review giving a systematic and comprehensive introduction about the development and application of medicinal plant genomes that have been reported until now. Here, we provide a historical perspective on the current situation of genomes in medicinal plant biology, highlight the use of the rapidly developing sequencing technologies, and conduct a comprehensive summary on how the genomes apply to solve the practical problems in medicinal plants, like genomics-assisted herb breeding, evolution history revelation, herbal synthetic biology study, and geoherbal research, which are important for effective utilization, rational use and sustainable protection of medicinal plants.
Preliminary Support for a Cognitive Remediation Intervention for Women During the Menopausal Transition: A Pilot Study

Background: Menopause is associated with physical and emotional symptoms, and subjective cognitive concerns that are generally not borne out on objective cognitive measures. This discrepancy suggests that a psychological rather than biological mechanism likely mediates the cognitive concerns of women in menopause. The current study assessed the feasibility and effectiveness of a cognitive remediation intervention with the goal of reducing subjective perceptions of cognitive difficulty during the menopause. Methods: Twenty-seven menopausal women (M age = 53.74, SD = 4.14) completed a 5-week group-based intervention (with a post-group booster) consisting of 2-h weekly sessions. Participants completed pre- and post-intervention measures capturing subjective cognitive ability, mood, anxiety, stress, personality, and objective cognitive tests. The primary variable of interest was self-reported cognitive confidence measured by the Memory and Cognitive Confidence Scale (MACCS). Results: All but one MACCS subscale significantly decreased over the course of treatment (with lower scores associated with higher confidence) and effect sizes ranged from small to large (d = −0.39 to −0.91) with gains maintained at 1-month follow-up. Interestingly, no change in objective cognitive test performance was observed, indicating increases in subjective cognitive confidence in the absence of objective cognitive improvement. There was no change in mood, anxiety, or stress scores. Two-level HLM analyses revealed that those with higher baseline neuroticism, as measured by the NEO Personality Inventory, had smaller decreases in post-group MACCS High Standards subscale relative to those with lower baseline neuroticism (p = 0.027, d = −0.45). Those with higher baseline depression scores on the Depression Anxiety Stress Scale (DASS-21) had a smaller decrease in post-intervention MACCS Total Score relative to those with lower depression ratings. Conclusion: To our knowledge, this is the first feasibility study of its kind targeting perceptions of cognitive impairment during menopause. Although generally well-tolerated, recruitment and scheduling difficulties were flagged as challenges to engagement while a small sample size and lack of control group limit conclusions about efficacy. Providing current results could be replicated with enhanced methods, these results provide support that cognitive remediation is a feasible and credible treatment, and may improve quality of life for women in menopause. Clinical Trial Registration: www.ClinicalTrials. gov, identifier: NCT03311880.
Tapping the Role of Microbial Biosurfactants in Pesticide Remediation: An Eco-Friendly Approach for Environmental Sustainability

Pesticides are used indiscriminately all over the world to protect crops from pests and pathogens. If they are used in excess, they contaminate the soil and water bodies and negatively affect human health and the environment. However, bioremediation is the most viable option to deal with these pollutants, but it has certain limitations. Therefore, harnessing the role of microbial biosurfactants in pesticide remediation is a promising approach. Biosurfactants are the amphiphilic compounds that can help to increase the bioavailability of pesticides, and speeds up the bioremediation process. Biosurfactants lower the surface area and interfacial tension of immiscible fluids and boost the solubility and sorption of hydrophobic pesticide contaminants. They have the property of biodegradability, low toxicity, high selectivity, and broad action spectrum under extreme pH, temperature, and salinity conditions, as well as a low critical micelle concentration (CMC). All these factors can augment the process of pesticide remediation. Application of metagenomic and in-silico tools would help by rapidly characterizing pesticide degrading microorganisms at a taxonomic and functional level. A comprehensive review of the literature shows that the role of biosurfactants in the biological remediation of pesticides has received limited attention. Therefore, this article is intended to provide a detailed overview of the role of various biosurfactants in improving pesticide remediation as well as different methods used for the detection of microbial biosurfactants. Additionally, this article covers the role of advanced metagenomics tools in characterizing the biosurfactant producing pesticide degrading microbes from different environments.
Rate-Dependent Shell Element Composite Material Model Implementation in LS-DYNA

A previously developed constitutive model has been modified in order to incorporate the rate dependence of elastic modulus of the polymer matrix constituent into the nonlinear, strain-rate-dependent deformation analysis of polymer matrix composites. To compute the inelastic strains in the polymer matrix, state-variable-based viscoplastic equations originally developed for metals are modified in order to account for the effects of hydrostatic stresses, which are significant in polymers. The polymer constitutive equations are implemented within the strength of a material-based micromechanics method in order to predict the nonlinear, strain-rate-dependent deformation of the polymer matrix composite. The polymer and the composite models are implemented into a commercially available explicit finite-element code, LS-DYNA, as user defined materials (UMATs). The deformation behaviors of several representative polymers and two polymer matrix composites of various fiber configurations are simulated in LS-DYNA with .
BMP Signaling: Lighting up the Way for Embryonic Dorsoventral Patterning

One of the most significant events during early embryonic development is the establishment of a basic embryonic body plan, which is defined by anteroposterior, dorsoventral (DV), and left-right axes. It is well-known that the morphogen gradient created by BMP signaling activity is crucial for DV axis patterning across a diverse set of vertebrates. The regulation of BMP signaling during DV patterning has been strongly conserved across evolution. This is a remarkable regulatory and evolutionary feat, as the BMP gradient has been maintained despite the tremendous variation in embryonic size and shape across species. Interestingly, the embryonic DV axis exhibits robust stability, even in face of variations in BMP signaling. Multiple lines of genetic, molecular, and embryological evidence have suggested that numerous BMP signaling components and their attendant regulators act in concert to shape the developing DV axis. In this review, we summarize the current knowledge of the function and regulation of BMP signaling in DV patterning. Throughout, we focus specifically on popular model animals, such as Xenopus and zebrafish, highlighting the similarities and differences of the regulatory networks between species. We also review recent advances regarding the molecular nature of DV patterning, including the initiation of the DV axis, the formation of the BMP gradient, and the regulatory molecular mechanisms behind BMP signaling during the establishment of the DV axis. Collectively, this review will help clarify our current understanding of the molecular nature of DV axis formation.