Miracle-dz/UniFAR-FTUs huggingface dataset:
Ariane + NVDLA: Seamless Third-Party IP Integration with ESP

The growth of the RISC-V movement and the demand for specialized hardware have fueled a proliferation of open-source processors and accelerators. Lever-aging the large amount of available IP components requires the capabilities for integrating them effectively in a system-on-chip. We address this goal by augmenting ESP, an open-source platform for agile design of heterogeneous SoC architectures. Since its release, ESP has provided a set of different flows to design new accelerators with different specification languages and auto-mate their SoC integration. We add support for the seamless integration of third-party accelerators by developing a new type of interface that retains the benefits of the ESP platform services. We demonstrate these capabilities by showing how to integrate the Ariane RISC-V core with multiple instances of the NVIDIA Deep Learning Accelerator into an SoC architecture that leverages a scalable memory hierarchy and network-on-chip. The new contributions, which are already available in the ESP release, allow designers to rapidly prototype complex SoC architectures on FPGAs with a push-button design flow.
LUSA: the HPC library for lattice-based cryptanalysis

—This paper introduces LUSA - the Lattice Uniﬁed Set of Algorithms library - a C++ library that comprises many high performance, parallel implementations of lattice algorithms, with particular focus on lattice-based cryptanalysis. Currently, LUSA offers algorithms for lattice reduction and the SVP. LUSA was designed to be 1) simple to install and use, 2) have no other dependencies, 3) be designed speciﬁcally for lattice-based cryptanalysis, including the majority of the most relevant algorithms in this ﬁeld and 4) offer efﬁcient, parallel and scalable methods for those algorithms. LUSA explores paralellism mainly at the thread level, being based on OpenMP. However the code is also written to be efﬁcient at the cache and operation level, taking advantage of carefully sorted data structures and data level parallelism. This paper shows that LUSA delivers these promises, by being simple to use while consistently outperforming its counterparts, such as NTL, plll and fplll, and offering scalable, parallel implementations of the most relevant algorithms to date, which are currently not available in other libraries.
Microbial conversion of DL-5-substituted hydantoins to the corresponding L-amino acids by Bacillus stearothermophilus NS1122A

A moderate thermophilic bacterium that converts dl-5-(2-methylthioethyl)hydantoin stereospecifically to L-methionine was isolated from soil and designated NS1122A. The bacterial strain NS1122A was identified as Bacillus stearothermophilus. The optimal temperature and pH of the reaction with the resting cells were 60°–70°C and around 8, respectively. The addition of Co2 + or Mn2 + stimulated the production of L-methionine, while Cu2+ and Zn2 + strongly inhibited it. Under adequate conditions, 7.6mg/ml of L-methionine was produced from 10 mg/ml of DL-5-(2-methylthioethyl)hydantoin with a molar yield of 89%. The enzymes responsible for the conversion were purified from the cells of B. stearothermophilus NS1122A. The purified hydantoinase was homogeneous by the criterion of SDS-polyacrylamide gel electrophoresis. The molecular mass of the native enzyme was approximately 200 kDa by gel filtration. The hydantoinase was capable of hydrolyzing L- and D-5-substituted hydantoins, and the D-form of 5-substituted hyd.
A Simple Strategy to Eliminate Hexosylation Bias in the Relative Quantification of N‐Glycosylation in Biopharmaceuticals

Abstract N‐glycosylation may affect the safety and efficacy of biopharmaceuticals and is thus monitored during manufacturing. Mass spectrometry of the intact protein is increasingly used to reveal co‐existing glycosylation variants. However, quantification of N‐glycoforms via this approach may be biased by single hexose residues as introduced by glycation or O‐glycosylation. Herein, we describe a simple strategy to reveal actual N‐glycoform abundances of therapeutic antibodies, involving experimental determination of glycation levels followed by computational elimination of the “hexosylation bias”. We show that actual N‐glycoform abundances may significantly deviate from initially determined values. Indeed, glycation may even obscure considerable differences in N‐glycosylation patterns of drug product batches. Our observations may thus have implications for biopharmaceutical quality control. Moreover, we solve an instance of the problem of isobaricity, which is fundamental to mass spectrometry.
Preparation of Silver Nanoparticles-Loaded Gel Fibers Based on Microfluidic Method and its Application as SERS Substrates

Surface-enhanced Raman scattering (SERS) spectroscopy technology has broad application prospects in food safety, environmental monitoring, surface science and material analysis because of the characteristics of ultra-high sensitivity and non-destructive testing. However, there are still some challenges in the preparation of SERS substrates. As SERS substrates, the common colloidal noble metal nanoparticles usually show low storage stability and poor repeatability of analytical results. In order to overcome these limitations, a coaxial microfluidic spinning device was designed to prepare flexible SERS substrates in this paper. Based on the microfluidic spinning and subsequent in-situ reduction reaction of AgNO3, novel gel fibers uniformly loaded with AgNPs were successfully prepared. The effects of the concentration of AgNO3 solution and UV irradiation duration on the formation of AgNPs were investigated. Transmission electron microscopy (TEM) showed that the average particle size was about 2.7 nm. The gel fibers loaded with AgNPs were used as SERS substrates to detect 4-mercaptobenzoic acid (4-MBA), which showed obvious Raman enhancement effect and good repeatability. The relative standard deviation of 10 test results was 4.75%, and the detection line range was 10-14-10-5 mol·L-1.
Preparation of Titanium Alloy Powder by Plasma Rotating Electrode Process

Titanium alloy powders were prepared from titanium rods by plasma rotating electrode process (PREP). The effects of powder preparation technology on the morphology and properties of titanium alloy powders were studied by laser particle size analyzer, scanning electron microscope (SEM), X-ray diffraction, powder comprehensive property tester and oxygen nitrogen analyzer. The results shown that the titanium alloy powder prepared by PREP had uniform particle size distribution, sphericity >93% and oxygen content <1000 ppm. For TA1 powder, the phase’s structure was mainly composed of HCP-α phase, while the TC4 powder mainly composed of α' phase. During the preparation process, the particle size and sphericity of the alloy powder increased with the increase of electrode speed. The smaller the particle size and the higher the sphericity of the alloy powder, the larger the compacting density and bulk density, but the powders fluidity became worse. At the same time, the oxygen content of the titanium alloy powder increased with the decrease of the particle size, while the nitrogen content was not affected by the powder size. The oxygen content of the titanium alloy powder increased as the particle size became smaller, and the nitrogen content was not affected by the powder size.
A Robust PPG Onset and Systolic Peak Detection Algorithm Based On Hilbert Transform

Recent advances in cardiovascular diseases (CVDs) have inspired the modern population to adopt different easy-to-use personal health monitoring devices that employ easy-to-acquire biosignal such as Photoplethysmogram (PPG) for regular and long-term monitoring of vital signs. However, the detection of clinically significant PPG fiducial points such as onset and the systolic peak is still an open area of research. In the present work, a robust and simple PPG onset and systolic peak detection algorithm is proposed based on the Hilbert Transform. The methodology uses signal derivative, Hilbert Transform, amplitude thresholding and slope-reversal based approaches. In contrast to other techniques, the proposed algorithm exhibits high efficiency with average sensitivity and positive predictivity of 99.83% and 100% respectively, as tested with PPG records collected from the MIMIC database, institutional laboratory and hospital respectively.
cBiK: A Space-Efficient Data Structure for Spatial Keyword Queries

A vast amount of geo-referenced data is being generated by mobile devices and other sensors increasing the importance of spatio-textual analyses on such data. Due to the large volume of data, the use of indexes to speed up the queries that facilitate such analyses is imperative. Many disk resident indexes have been proposed for different types of spatial keyword queries, but their efficiency is harmed by their high I/O costs. In this work, we propose $c\text{B}i\text{K}$ , the first spatio-textual index that uses compact data structures to reduce the size of the structure, hence facilitating its usage in main memory. Our experimental evaluation, shows that this approach needs half the space and is more than one order of magnitude faster than a disk resident state-of-the-art index. Also, we show that our approach is competitive even in a scenario where the disk resident data structure is warmed-up to fit in main memory.
Merluccius capensis spawn in Namibian waters, but do M. paradoxus?

Spawning time and areas, and the length of the spawning season of shallow-water (Merluccius capensis) and deep-water (M. paradoxus) hake, were investigated from bottom trawl collections taken in Namibian waters between September 1998 and October 2000 and from August to November 2001. The gonadosomatic index (GSI) and the incidence of advanced maturity stages of M. paradoxus were low along the entire coast throughout the year, but with a few exceptions in the south (between Lüderitz and Orange River). By contrast, M. capensis spawn in the area throughout the year, but mainly between July and October. Evaluating the accuracy of visual maturity staging by comparing results with those of image and histological analyses revealed few errors in classifications of maturity stage in the field, with the exception of Stage 5 (spent and resting) in M. paradoxus. Specific GSI values were intercalibrated with the appearance of developing oocytes. As the GSI is quickly estimated, this new concept, designated here as a 'maturity reference line', could enhance understanding of the spawning biology of other species with a similarly complex, indeterminate spawning strategy. It is concluded that M. paradoxus do not appear to spawn in Namibian waters.
Epidemiological Correlates of Psychological Distress in a Rural Community of South India: A Cross-sectional Study

Context: Integration of mental health into primary care is essential to establish access to mental health services. Screening the community for psychological distress is the first step. Aims: The aim of the study was to estimate the burden and the determinants of psychological distress in a rural community. Settings and Design: This was a community-based cross-sectional study among adult members of a rural community of Nitte Village in Udupi district in Karnataka, South India. Methodology: Three hundred and ten households were surveyed using the World Health Organization Self-Reported Questionnaire (SRQ). A cutoff value of 8 in SRQ was taken as screening positive. Statistical Analysis Used: Descriptive data were analyzed in proportions, whereas Chi-square test and regression analysis were used to explore associations. Results: Hypertension and diabetes were the two common comorbidities. The prevalence of psychological distress was 42.4 per thousand. “Being easily tired” and “feeling tired all the time” were the two most common responses out of the SRQ checklist. Distress was significantly associated with gender, educational status, and marital status. Conclusions: The prevalence of psychological distress was 42.4 per thousand, and somatic complaints were common presentations of distress in the study population.
Function Synergy of a New Type of Fluid Loss Additive Formula for Comprehensive Performance of Oil Well Cement

With 2-acrylamido-2-methylpropanesulfonic acid (AMPS) units on polymeric additive, additive showed high effectiveness used for oilwell cement. However, due to chemical absorption and chelation mechanism of AMPS units to Ca2+ hydrating cement particles, adding of AMPS type additives caused delay of cement hydration process. In this research, AMPS type fluid loss additive, named as FLA A additive, was studied for its hydration delay side effect to class G Portland cement. Furthermore, polyvinyl alcohol (PVA) polymer, modified by glyoxal and boric acid, called as PVAGB was used as a synergistic functional additive to AMPS type polymer fluid loss additive to research on hydration delay problem of AMPS type additive to cement and the improvement for the effectiveness of AMPS type fluid loss additive. When AMPS type additive showed functional drawbacks, with more disordered chemical absorption and chelation behaviors to Ca2+ hydrated cement particles rather than constituting a completed and superior fluid loss control system, and this kind of modified PVA polymer was utilized for making up its failure. New compound additive formula, PVAGB/FLA A fluid loss additive formula, was investigated, which showed superior and more stable fluid loss control ability, i.e. about 50 mL at 30°C and 108 mL at 80 °C with just 0.2 % BWOC (weight percentage by weight of cement) PVAGB and 0.5 %BWOC (weight percentage by weight of cement) FLA A addition. In addition, within 28-day curing period, cement samples showed a healthy compressive-strength development with no less than 28MPa after 7-day curing period rather than failure due to cement strength retrogression. With scanning electron microscope (SEM) analysis, PVAGB showed accelerating effect to cement hydration process, in which hexagonal plate Ca(OH)2 crystal and aggregated product of C-S-H gel were formed when compared with pure cement and cement with FLA A additive added.
Functionalization of MWNTs and its Influence on Thermal Performance of Modified Diphenyl Ether Polyimide Films

In this paper, we treated MWNTs by Fendon oxidation method and mixed acid method, finding the factors of functionalized effect affecting MWNTs. And added MWNTs treated to PI matrix for the study of the impact of MWNTs treated on thermal properties of the films. We using 3,3/,4,4/-diphenyl ether tetraacid dianhydride (ODPA) and 4,4'-diamino diphenyl ether (ODA) as raw material, mixing functional MWNTs and monomer by situ polymerization, then MWNTs / PAA hybrid glue was prepared. The molecular weight and distribution of the polyamic acid were measured by gel permeation chromatography (GPC), and the effects of different addition amounts on the product were examined. The PI/MWNTs films were prepared using an automatic film applicator, and finally the PI films were obtained by thermal imidization. The thermal behavior of the imidization process of the product was determined by differential scanning calorimetry (DSC) and thermogravimetric analysis (TG). The results showed that the PAA film has thermodynamic behavior at 150 ° C and 280 ° C approximately, which could be regarded as the kinetic interruption temperature of the imidization reaction. The dehydration cyclization reaction mainly occured in these two temperature ranges, moreover, the addition of MWNTs had no significant effect on the thermal decomposition temperature of the material which doping amount that does not affect the mechanical strength.
Photovoltaic’s Hotspot and Partial Shading Detection Algorithm Using Characteristic Curve’s Analysis

Photovoltaic (PV) technology achieves great interests from its non-polluted operation and flexible installation. The obstacle is the hotspot on the PV panel’s surface which is the consequence of shading, occurs as the heat and cause the damage to the PV’s system. The conventional method for detecting the hotspot is the usage of the infrared camera; however, trades of cost and manpower are the main disadvantages. Moreover, the hotspot and partial shading have similar effects to the PV’s system which is the reduction of the output current and generated power. It is essential not only to detect but also differentiate the hotspot from partial shading. This paper proposes the algorithm for detecting the hotspot and partial shading on the PV array by analyzing the PV’s characteristic curves. Proposed algorithm’s efficiency is confirmed by the system implementation and shows success detection in different levels of hotspot defections.
Phenotypic responses of foxtail millet (Setaria italica) genotypes to phosphate supply under greenhouse and natural field conditions

Food insecurity is a looming threat for the burgeoning world population. Phosphorus (P), which is absorbed from soil as inorganic phosphate (Pi), is an essential macronutrient for the growth of all agricultural crops. This study reports phenotype analysis for P responses in natural field and greenhouse conditions, using 54 genotypes of foxtail millet (Setaria italica) representing wide geographic origins. The genotype responses were assessed in natural field conditions in two different seasons (monsoon and summer) under Pi-fertilized (P+) and unfertilized (P-) soil for eight above-ground traits. Enormous variations were seen among the genotypes in phenotypic responses for all the measured parameters under low P stress conditions. Variations were significant for plant height, leaf number and length, tillering ability and seed yield traits. Genotypes ISe 1234 and ISe 1541 were P+ responders, and the genotypes ISe 1181, ISe 1655, ISe 783 and ISe 1892 showed tolerance to low P for total seed yield. Genotypes that performed well under P- conditions were almost as productive as genotypes that performed well under P+ conditions suggesting some genotypes are well adapted to nutrient-poor soils. In the greenhouse, most of the genotypes produced changes in root architecture that are characteristic of P- stress, but to differing degrees. Significant variation was seen in root hair density and root hair number and in fresh and dry weight of shoot and root under P- stress. However, there was not much difference in the shoot and root total P and Pi levels of five selected high and low responding genotypes. We noticed contrasting responses in the greenhouse and natural field experiments for most of these genotypes. The leads from the study form the basis for breeding and improvement of foxtail millet for better Pi-use efficiency.
Seed Formation is Affected by Uniconazole, an Inhibitor of Gibberellin Biosynthesis, in a Parthenocarpic Cultivar Severianin of Tomato (Lycopersicon esculentum Mill.)

In order to increase seed production of a pat-2 parthenocarpic tomato cultivar, we attempted to enable fertilization by applying an inhibitor of gibberellin (GA) biosynthesis to the whole plant to prevent pseudoembryo formation prior to anthesis. The pat-2 parthenocarpic tomato cultivar ‘Severianin’ was cultured with hydroponics, and the GA biosynthesis inhibitor, uniconazole-P, (E)-(S)-1-(4-chlorophenyl)-4,4-dimethyl-2-(1H-1,2,4-triazol-1-yl)pent-1-en-3-ol, was added to the culture solution at 0, 0.01, 0.05, and 0.25 mg·L-1 about two weeks before the first flower anthesis. Stigmata were removed to prevent pollination from half of the plants of each concentration before anthesis, and the other half were tapped by a finger at anthesis for pollination. For pollinated fruits, there were no differences in fruit weight and seed number between the different concentrations of uniconazole-P. A significant positive correlation was observed between seed number and fruit weight in pollinated fruits treated with uniconazole-P that was not observed in the absence of uniconazole-P. There were no significant differences in the germination rate at any concentrations tested compared to the control. Seedlings grown from uniconazole-P-treated plants appeared to develop normally and did not differ from the control. Hence, uniconazole-P treatment of the whole plant was useful for increasing the efficiency of seed production for a parthenocarpic pat-2 cultivar. This was augmented by choosing large fruits at harvest, which contain sufficient amounts of true seeds based on the strong positive correlation between seed number and fruit weight.
Revisiting small signal stability analysis techniques in the context of stability study of a two-area multimachine power system

Regular load generation imbalances aka power system small disturbances in a network is always a matter of great concern which lead a major task of stability improvement to the technicians. Moreover when in place of single area network, there comes multi-area multi-machine power system, the overall dynamics becomes very integrated and complex to analyze. To suppress the oscillations of the system state variables i.e. to keep their deviation within some limit for a long period during small disturbances caused by load swinging or others , small signal analysis is needed first in place. Till date extensive researches has been done developing many toolboxes to analyze small signal stability like PSAT, SSST, PST, PAT, PSS/E, DigSILENT, EUROSTAG, SimPow and others. Among all PSAT is the most recommended and used software for the purpose. In this work a new algorithm has been developed to analyze the classical two-area four- machine system which is compared with PSAT's ( Power system analysis toolbox) result and literature's result. It came out that there's a significant amount of inaccuracy in PSAT's outcome and inter-area oscillation mode is found to be the most critical zone for analysis rather than local modes of oscillations in power system network.
Distribution of species enterovirus B in patients with central nervous system infections in São Paulo State, Brazil

Enteroviruses (EV) are most common cause of central nervous system (CNS) infection, mainly aseptic meningitis. In Brazil, data available concerning the distribution of EV types are scarce. The aim of this study was to describe of types EV in patients with infection of the CNS in São Paulo State. This retrospective study was conducted in clinical samples collected from patients with infections of the CNS from 2004 to 2014. We investigated the presence of EV by virus isolation in cell culture. The samples that showed cytopathic effect in the cell culture were submitted by indirect immunofluorescence assay, reverse transcription polymerase chain reaction and VP1 partial sequencing to identification of EV isolated. A total of 176 EV isolated in cell culture was detected and typed in 14.5% (n = 176/1215) of clinical samples analyzed; corresponding to 71.0% of AM, and 19.3% of encephalitis and meningoencephalitis. Echoviruses (E) were isolated most frequently, with 155 strains (88.1%), Coxsackievirus B (CV‐B), with 20 cases (11.4%), CV‐A, with 01 case (0.6%). E‐6 was the most commonly identified followed in decreasing order by E‐30; E‐18; CV‐B5; E‐4; E‐11; CV‐B2 and E‐9; E‐7; CV‐A9, CV‐B1, CV‐B3, CV‐B4, E‐13, E‐14, and E‐21. EV detected were classified as belonging to the species enterovirus B. EV were detected in all the period of the year with the highest rate in the spring and summer months. Data obtained in this study contribute to the knowledge about EV circulation implicated in CNS infections over a 11‐year period in São Paulo State, Brazil.