Miracle-dz/UniFAR-FTUs huggingface dataset:
GPU‐accelerated simulation of a non‐local conservation law

The model under consideration is a non‐local conservation law in two space dimensions that might be used to model material or pedestrian flow. We accelerate the simulation of the non‐local model using parallelization of the non‐local terms in the programming language Haskell. The implementation allows for the computation of the solution to the conservation law with a finite volume method at reasonable computational cost even for large domains and fine discretizations.
Photochemical reactions involved in the total mineralization of 2,4-D by Fe3+/H2O2/UV

The photoenhancement of Fenton-type (Fe 3+ +H 2 O 2 ) oxidation of 2,4-dichlorophenoxyacetic acid in the near-UV is due to several Fe(III)-sensitized photochemical reactions. Fe 3+ /H 2 O 2 /UV systems were studied for potential use in waste treatment. Dechlorination and conversion of the first ∼40% of ring and carboxy carbon of 2,4-D to CO 2 are due mostly to hydroxyl radical (OH . ) reactions
Blowup and vanishing of a free boundary problem with a nonlocal reaction term

ABSTRACT In this paper, we investigate a reaction–diffusion equation with double free boundaries. We study blowup phenomena and asymptotic behavior of time-global solutions. For , when , if , then u will blow up in finite time. Meanwhile, we also prove when , the solution must blow up in finite time. On the other hand, we discuss the vanishing of solutions. We prove that vanishing will occur as long as the initial datum are small sufficiently.
CEnT: An Efficient Architecture to Eliminate Intra-Array Write Disturbance in PCM

Phase Change Memory (PCM), with its better scaling potential compared to DRAM, is seen as a promising candidate to replace or complement DRAM. The heat generated from a RESET programming pulse to a PCM cell can disturb the neighboring cells which are not being programmed. Write disturbance (WD) poses a critical reliability challenge in high-density PCM memory with scaling below 20nm process technology node. Increasing the intra-cell space can eliminate the WD, however, it reduces the storage density which counteracts the benefits of scalability in PCM. At architectural level, a verify and correct (VnC) technique can be used to address this problem. However, this leads to an increased number of write operations, thus degrading performance, energy efficiency and memory lifetime. Due to its dependence on the type of programming operation and the state of the neighboring cell, WD is a data-dependent problem. Exploiting this property, encoding techniques have been proposed to reduce the frequency of WD-vulnerable data patterns. These techniques, however, do not eliminate the WD in an array and ultimately rely on the VnC method to ensure reliable memory operation. This article introduces a novel architecture, based on encoding and multi-level programming characteristics of PCM, to eliminate the intra-array WD in PCM. By eliminating WD and hence the need for a VnC operation, the proposed architecture improves performance, energy efficiency and memory lifetime. Our evaluation of the proposed architecture shows an average reduction of 57 percent in the number of writes (to service one write request) over the existing state-of-the-art intra-array WD-mitigation technique. Depending on the PCM write bandwidth, the proposed architecture can reduce the write service time by up to 27 percent, on average, compared to the existing best-performing technique. This leads to an average improvement of 15 percent in IPC. Additionally, by eliminating the overhead of a verify operation, the write energy efficiency is also improved by 8 percent over the previous art. Finally, with an average reduction of 26 percent in bit flips, the proposed method also improves the memory lifetime. The proposed method is also proven to be effective when considering WD both within the word-lines and across the bit-lines.
Highly luminescent biocompatible doped nano carbon dot composites as efficient antibacterial agents

ABSTRACT Highly luminescent nitrogen andsulfur-doped carbon dots were synthesized by a microwave-assisted greener synthetic strategy and the anti-bacterial activity of the carbon dot (C-dots) composites were analyzed. The obtained gel-like C-dots were found to be highly fluorescent in very dilute solutions emitting blue light even in the visible range. The formation of N and S doped C-dots were confirmed from theUV-visible spectral studies, EDS analysis, fluorescence measurements, and the morphology and size of the C-dots were established by High-resolution TEM. The synthesized C-dots were dispersed in three biologically relevant and biocompatible polymeric matrices and the composites of C-dots were fabricated. It was interestingly noticed that the introduction of C-dots in the water-soluble polymeric networks like polyvinyl alcohol (PVA), chitosan, and poly sulfonatestyrene, i.e., the composites of C-dots enhanced the stability and the photoluminescent properties. The morphology of the composites was analyzed using SEM. The antimicrobial studies reveal the potential application of carbon dot composites as an excellent anti-bacterial agent against gram-positive and gram-negative bacteria. The composite having the highest antibacterial activity was checked for the cytotoxicity studies. The results revealed that the C-dot composite has a minimal impact on cell viability and have an IC50value of 118.4 µg/ml. This IC 50 value was highly significant and was very low compared to other C-dots reported in the literature so far. This surely confirmed their low toxicity and excellent biocompatibility for the in vivo and in-vitro studies and will explore the potential application of the composites for targeted drug delivery, development of drug delivery devices, and bioimaging studies. Graphical abstract
Aplicação de métodos de otimização multiobjetivo para resolver o problema da dieta

This work aims to present two methods for solving multiobjective optimization problems, the Global Criterion method and the nRestricted method. The methods will be applied to the diet problem with two objectives. The strategies used are agglutination, where objectives integrate the global function, and prioritization, where one objective is privileged in relation to the other.
Slot Bonding for Adaptive Modulations in IEEE 802.15.4e TSCH Networks

The numerous applications of industrial automation have always posed many challenges for wireless connectivity. In the last decade, IEEE 802.15. 4e time-slotted channel hopping (TSCH) networks have provided high reliability and low-power operation in such challenging industrial environments. Typically, TSCH networks employ one modulation at the physical layer and are thus limited by the characteristics of the chosen modulation in terms of, among others, data rate, reliability and energy efficiency. To tackle these limitations and to improve network performance and flexibility in those challenging industrial environments, this work explores the simultaneous use of multiple modulations in a TSCH network. Traditionally, TSCH relies on fixed-duration slots, large enough to send a packet of any size given the fixed data rate. In order to avoid wasting airtime when simultaneously using modulations with different data rates, we propose the concept of slot bonding. This allows the creation of different-sized bonded slots with a duration adapted to the data rate of each chosen modulation. To analyze the proposed slot bonding technique, we formally describe the TSCH slot bonding problem in terms of optimizing the packet delivery ratio while minimizing radio on time, with the inclusion of parent selection and interference avoidance. Afterward, we propose a genetic algorithm that allows us to implement the problem and find solutions heuristically. Finally, we provide insights into preferred parent selection and modulation configurations by using this heuristic approach during extensive simulation experimentation in which the scalability advantage of slot bonding over longer fixed-duration slots is also shown.
A new unsupervised learning-based process for extraction of knowledge’s and improving anomalies detection

Lately, the world confronts day by day the birth of typically big data in various fields such as health, telecom, electronic sales, communication, service provision, industry, e-learning and e-commerce. This emergence was a brick and a major reason behind the realization of immense changes in the processes of manipulation and processing of data as the system of storage, processing, analysis and visualization of data. From an application point of view, the manipulation of such data requires the implication of certain numbers of usage standards such as those related to security, credibility and optimization of data. However, it seems so difficult to ensure the security of massive and gigantic data coming from a variety of sources, and especially in real time, because there is an almost total absence of methodologies ensuring the processing and protection of a volume of data automatically. In fact, our work takes stock of a new process allowing the secure handling of big data. This is about getting more out of machine learning, security patterns and decision trees. More specifically, our approach aims to design machines able of securing large data in real time while making them learn from a mapping of security patterns (learning data). This training will allow machines to develop in terms of security, which will allow them to improve their intelligence related to the detection of anomalies caused in the data during the data exploitation operation.
Bioactive Metabolites of Aspergillus neoniger, an Endophyte of the Medicinal Plant Ficus carica

Endophytes are considered as a rich source of bioactive natural products. Many plants have not been investigated for their endophytic content yet, such as the medicinal plant Ficus carica. Recent studies confirmed antimicrobial and anticancer activities for the plant extract. To find out if its endophytes contribute to its reported activities, the bioactive endophyte Aspergillus neoniger was selected for investigation of its metabolites since it exerted antimicrobial and anticancer activities in preliminary screening assays. The fungal extract was subjected to bioactivity guided chromatographic fractionation for isolation of its bioactive metabolites. This resulted in the identification of four aurasperones (asperpyrone D, aurasperone D, dianhydroaurasperone C, aurasperone A) through spectroscopic analysis. Aurasperone D and asperpyrone D were found to be cytotoxic against human cervical cancer cells (50 % cytotoxic concentration=4.4 μg ml-1 and 3.0 μg ml-1 respectively). Aurasperone D exerted strong antiproliferative effect against human immortal erythroleukaemia cells 562 and human umbilical vein endothelial cells (concentration at which 50 % growth inhibition achieved is 5.3 and 4.7 μg ml-1) as well as asperpyrone D (concentration at which 50 % growth inhibition achieved is 4.9 and 5.4 μg ml-1). Dianhydroaurasperone C and aurasperone A, on the contrary, showed weak cytotoxic and antiproliferative effects. All compounds were tested for antimicrobial activity against several test strains including the plant pathogen Fusarium oxysporum. Results revealed that aurasperone D and asperpyrone D to be most active which suggests potential protective role of this endophyte on its host plant. These results suggest possible partial contribution of Aspergillus neoniger to the reported activity of the host plant
Determination of optimum blood meal level for performance of broilers under Sudan condition

Different unconventional feed stuffs are used in poultry production to decrease ration cost and the environmental, nutritional and economic benefits derived from the maximal utilization of animal blood. This study was established to assess the effect of feed partially replaced dried blood content supplemented on growth performance responses and carcass. In a feeding trial, 240 commercial broiler chicks a day old, with an average starting weight of 48.40± 1.50 g, Lehmann breed unsexed commercial broiler were randomly allocated to one of four dietary treatments in a completely randomized design. The dietary treatments consisted of the control diet, and three diets which contained varying levels of Sun-dried blood meals SDBM (3, 4 and 5 %) respectively. The experimental diets were formulated to be both isonitrgenous (22.5% CP) and isocaloric (3.10 Mcal /kg). Feed and water were provided adlibitum for a period of 6 weeks. Data for the entire 42 days growth assay indicate the concentration of SDBM in the diet had impact on feed intake. However, birds fed SDBM at 3 or 5% had better weight gains and feed efficiency (p < 0.05) than birds fed 4% SDBM and the SDBM free diet. Carcass yields were similar. Mortality was also unaffected by dietary treatments. In addition, Analysis of productive parameters indicated that dietary SDBM up to 5% had a positive effect on growth performance and that partial replacement of protein sources (blood meal and groundnut cake) with SDBM was possible.
The governing parent-citizen: dividing and valorising parent labour through school governance

ABSTRACT Internationally, major policy reforms seek to deepen parent and community engagement in schools. Whilst pervasive in policy documents, however, discourses surrounding ‘parent engagement’ are often elastic and imprecise, ultimately gaining meaning through the technologies of governance that shape policy enactments in schools. In this paper, we argue that contemporary schooling reforms are constructing a new ‘governing parent-citizen’ through which the parental labour of social reproduction is being extended, valorised and rearticulated. We examine how one major reform movement in Australia is articulating new roles for parents and community members in schools: the Independent Public Schools (IPS) initiative in Western Australia. Our analysis demonstrates the intensive policy intervention required to produce this new form of parental labour and the subsequent divisions of labour it is producing.
Formulation and evaluation of bioadhesive pellets containing different carbomers made by extrusion-spheronization

The problem of tackiness encountered during the process ofextrusion-spheronization with bioadhesive wet masses was previously eliminated by the use of electrolytes. This approach is known to reduce the viscosity of bioadhesive polymers, thereby decreasing their bioadhesive properties. The aim of this study was to prepare bioadhesive pellets by extrusion-spheronization without any electrolyte, which might affect the bioadhesive properties ofthe polymers used. Three polyacrylic acids (Noveon AA1, Carbopol 974P and Carbopol 971P) were used in concentrations of 5 and 10% in combination with Avicel PH-101, as a spheronizing aid, and caffeine as a neutral, sparingly soluble tracer. The pellets were analyzed in terms of particle size distribution, appearance and their release at pH 6.4, which proved adequate for optimum bioadhesion. The effect of different pHs on the bioadhesive properties of the formulations was estimated. It was concluded that these pellets will preferentially adhere to regions in the gastrointestinal tract having a pH ranging from 6.2 to 6.6(duodenum) rather than those with a higher pH (the ileo-cœcal region). The various pellets prepared with different polyacrylic acids totally released caffeine after 20 min, regardless of the concentration or type of the bioadhesive used. The release from the pellets was linear with Fickian diffusion.
Dynamic Modeling of an Offshore Floating Wind Turbine for Application in the Mediterranean Sea

Wind power is emerging as one of the most sustainable and low-cost options for energy production. Far-offshore floating wind turbines are attractive in view of exploiting high wind availability sites while minimizing environmental and landscape impact. In the last few years, some offshore floating wind farms were deployed in Northern Europe for technology validation, with very promising results. At present time, however, no offshore wind farm installations have been developed in the Mediterranean Sea. The aim of this work is to comprehensively model an offshore floating wind turbine and examine the behavior resulting from a wide spectrum of sea and wind states typical of the Mediterranean Sea. The flexible and accessible in-house model developed for this purpose is compared with the reference model FAST v8.16 for verifying its reliability. Then, a simulation campaign is carried out to estimate the wind turbine LCOE (Levelized Cost of Energy). Based on this, the best substructure is chosen and the convenience of the investment is evaluated.
Metascintillators for Ultrafast Gamma Detectors: A Review of Current State and Future Perspectives

Scintillation detector development is an active field of research, especially for its application to the medical imaging field and in particular to the positron emission tomography (PET). Effective sensitivity and signal-to-noise ratio in PET are greatly enhanced when improving detector timing capabilities: the availability to provide time-of-flight (TOF) information. However, physical barriers related to the characteristics of available organic and inorganic scintillators create a tradeoff between photon kinetics and gamma detection efficiency. We introduce the novel concept of metascintillators, composite topologies comprising of multiple scintillating and light-guiding materials functioning in synergy, that break this compromise. We provide an overview of published, ongoing and upcoming developments within this framework. Unconventional topologies, such as the multiple slabs approach comprising of a high-Z host and a fast emitter; materials such as CdSe/CdS nanoplatelets; and treatments related to nanostructured metamaterials and photonic interactions, are reviewed and complemented with new, unpublished advances in simulations and analysis. Future perspectives are further presented, encompassing developments in signal analysis and system integration. Within this concept, an improved generation of detectors and PET scanners with unprecedented time resolution is researched, paving the way toward the 10-ps TOF PET challenge for the advancement of PET and improvement of public health.
Major post-prostate biopsy complications under antibiotic augmentation prophylaxis protocol

Objective: To identify risk factors for major post-biopsy complications under augmented prophylaxis protocol. The risk factors already described mainly comprise outdated antibiotic prophylaxis protocols. Material and methods: This retrospective cohort study included patients that underwent transrectal ultrasound-guided biopsies, from 2011 to 2016. All patients had received antibiotic prophylaxis with ciprofloxacin and gentamicin. Patients were grouped according to the presence or absence of post-biopsy complications. Demographic variables and possible risk factors based on routine clinical assessment were registered. Correlation tests, univariate and multivariate analyses were used to identify risk factors for post-biopsy complications. Results: Of the 404 patients that were included, 25 (6.2%) presented 27 post-biopsy complications, distributed as follows: acute urinary retention (n = 14, 3.5%), infections (n = 11, 2.7%) and hemorrhage (n = 2, 0.5%). On univariate analysis, patients who presented complications showed higher body mass index and post-voiding residual volumes. Multivariate analysis identified ethnicity and prostate-specific antigen (PSA) density as possible risk factors for biopsy complications. The presence of bacterial resistance identified by rectal swabs did not correlate with the incidence of complications and infections. Conclusions: Non-infectious post-biopsy complications were more frequent than infectious ones in this cohort. Higher post-voiding residual volumes and PSA density, that indicates prostate enlargement, were identified as risk factors and interpreted as secondary to bladder outlet obstruction. The higher body mass index and ethnicity were also identified as risk factors and attributed to the heterogeneity of the patients included. Level of evidence: Not applicable for this multicentre audit.
Valorização do resíduo da casca de jabuticaba (Myrciaria cauliflora) para produção da exo-poligalacturonase com Aspergillus niger CCT 0916

This work aimed to study the potential of dry residue from jabuticaba bark (Myrciaria cauliflora) as a substrate in the production of exo-polygalacturonase (Exo-PG) through solid state fermentation (FES) using the microorganism Aspergillus niger CCT 0916 as a fermentation agent. The jabuticaba peels were dried in an oven with air circulation at 55 oC with an air speed of 1.0 m/s and then crushed to obtain the dry residue, which was characterized. A solid state fermentation was carried out in the period from 0 to 72 hours, during this period the following parameters were analyzed: moisture of the medium, pH, reducing sugars and polygalacturonic activity (APG). High levels of reducing sugars and pectin were found in the dry residue of the jabuticaba bark (RSJ). The adsorption isotherms showed that the adequate water activity for the fermentation process must be above 0.7. The maximum peak of APG was 16.12 U/g of the Research, Society and Development, v. 10, n. 1, e13810111592, 2021 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi. org/10.33448/rsd-v10i1.11592 2 fermented medium reached in 72 h of culture, therefore this residue is potentially viable as a substrate in the synthesis of Exo-PG by solid state fermentation.
Large Rhizosphere Bacterial Diversity Exits Among Wild Progenitor Species of Modern Sugarcane (Saccharum Spp. Inter-Specific Hybrids)

BackgroundRhizosphere is rich in highly diverse and complex microbial communities. Plant growth promoting rhizpbacteria and diazotrops are played crucial role in plant growth and development. In this study, rhizosphere soils were collected from five wild Saccharum species- S. officinarum L. cv Badila (BRS), S. barberi Jesw. cv Pansahi (PRS), S. robustum (RRS), S. spontaneum (SRS), and S. sinense Roxb. cv Uba (URS) for studied of rhizosphere and diazotroph bacterial diversity using 16S rRNA and nifH gene amplification and sequencing.ResultsWe detected a total of 6202 operational taxonomic units (OTUs) specific to the bacterial communities from all species combined. Out of the 107 bacterial communities detected among all samples, we found a core microbiome of 31 rhizobacterial families spread across all the species analyzed. A total of 1099 OTUs were identified for diazotrophs with a core microbiome of 9 families distributed among all the sugarcane species. The core microbiomes were distributed across twenty genera-Bradyrhizobium, Dechloromonas, Desulfovibrio, Stenotrophomonas, Xanthobacter, Anaeromyxobacter, Azospirillum, Pseudoacidovorax, Methylobacterium, Azoarcus, Paenibacillus, Ideonella, Beijerinckia, Paraburkholderia, Burkholderia, Ruficoccus, Geobacter, Sinorhizobium, Kosakonia, and Azotobacter. ConclusionThe results presented here advance our understanding of rhizosphere associated bacterial diversity among genetically closely related wild species and provide a knowledge base for studying the evolution of rhizobacteria-host plant association during crop domestication.