Miracle-dz/UniFAR-FTUs huggingface dataset:
Concurrent Copying Garbage Collection with Hardware Transactional Memory

Many applications, such as video-based or transaction-based ones, are latency-critical. Any additional latency may greatly degrade the user experience, inflicting significant financial loss on the vendor. Recently, an increasing number of these applications are written in managed languages, such as C♯, Java, JavaScript, and PHP, for productivity and reliability. Garbage collection (GC) provides automatic memory management to managed languages. However, GC can also induce pauses in the application, greatly affecting the user experience. This thesis explores the challenges of minimizing GC pauses. Concurrent GC reduces pauses by working concurrently with the application (the mutator). Copying GC improves the mutator locality and reduces the heap fragmentation. Concurrent copying GC achieves both, but requires heavyweight synchronization to ensure that the concurrently executing mutator has a consistent view of the heap while the collector changes it. Existing implementations of concurrent copying GC use read barriers or page protections to prevent the mutator from using stale references. Unfortunately, these synchronization mechanisms introduce high overhead to the mutator. My thesis is that, by using hardware transactional memory (HTM), mutators can execute transactionally during concurrent copying, achieving a consistent view of the heap, but with lower overhead than read barriers or page protection. The contributions of this thesis are twofold. (1) I implement and evaluate a novel algorithm of using HTM to reduce the mutator overhead of concurrent copying GC. (2) I conduct a detailed analysis of HTM capacity, filling a significant gap in the literature, and informing the design of our HTM-based algorithm. I then use the insights on HTM capacity to implement several optimizations to improve the algorithm. Using the Intel Transactional Synchronization Extension (TSX) as a case study, I measure the transaction capacity on this popular HTM implementation, and crossvalidate the results with the literature and fill a gap in the literature, resolving ostensibly contradictory results. I have also explored different factors that may affect the effective capacity of transactions, which have not yet been reported in the literature (to the best of my knowledge). I implement the algorithm in MMTk, a framework for the design and implementation of GC. The implementation is evaluated on Intel TSX using several test programs. The results suggest that performing concurrent copying GC using HTM is viable. This work deepens the understanding of HTM, its strengths and weaknesses, in the research community. Strategies using this work to fully exploit the capabilities of HTM can be generalized and applied to other applications of HTM. Finally, this work
Polyaniline as a Gas-Sensor Material

ABSTRACT Polyaniline (PANI) was synthesized by oxidative polymerization of aniline using ammonium persulfate in an acid medium. The polyaniline salt was converted to base form by treatment with ammonium hydroxide. The polyaniline base was dissolved in N-methyl pyrrolidone (NMP) for film casting. The cast film was doped with HCl for obtaining higher conductivity. Both doped and undoped PANI films were characterized by UV-visible, FTIR, and XRD analyses. The electrical conductivity of the PANI film was studied by a four-point probe method at room temperature. Finally, ammonia gas-sensing characteristics of the prepared polyaniline film were studied by measuring the change in electrical conductivity on exposure to ammonia gas at different concentrations. The influence of concentration of acid during polymerization of aniline and dopant concentration on the gas sensing characteristics of PANI film are reported in this paper.
MOLECULAR DETECTION OF GIARDIA SPECIES IN CATS AND HANDLERS AT WASIT PROVINCE, IRAQ

This study designed to detect the infection of Giardia intestinalis in the stool of cats and handlers in the Wasit province, Iraq, by using the traditional method and molecular technique (nested PCR) based on gene triosephosphate isomerase (tpi) specific to genotyping of Giardia intestinalis. Study the special effects of risk factors (ages, gender, and months) on the infection rates, the virulence of recognized isolate and genotype of strains was pointed and there are the study that were done. Molecular study was done to detect the prevalence of infection and genotyping of G. intestinalis. The overall prevalence of giardiasis by nested PCR in cats and handlers in this study 58%, 57% respectively. A high significant relationship between PCR and microscopic examination was obtained (P=0.000). Incidence of infection in the present study showed that the percentage of infection in female cat higher than male was 82.8% in female and 17.2% in contrast of human was 70.1% in male human more than female was 29.9%, according to age group in the human high rate of infection was showed between 20-29 years old was 22%. while high percentage in young cats 34% more than adult cat 24%. The infection rate was influenced by environmental temperature, the percentage of infection in humans was 49.6% and there’s an equal percentage of infection in April and it reported 15.7% in both cats and handlers, there is no significant relationship with the season (P>0.05). The distribution of genes shows a highly significant relationship between the frequency distribution of genes at a p-value of 0.000 by Cochran’s Q test. A, B, and F genes reported 75, 53, 25 respectively. This study was successfully identified the G. intestinalis assemblage of six isolates from cat and human using sequencing of the PCR amplified Giardia triosephosphate isomerase (tpi) gene. Only zoonotic G. intestinalis genotypes A, B and F were detected in the six isolates. And reported for the first time in the Wasit province middle of Iraq in cats and humans.
Highly stable heterostructured Ag–AgBr/TiO2 composite : a bifunctional visible-light active photocatalyst for destruction of ibuprofen and bacteria

A bifunctional visible-light photocatalyst Ag–AgBr/TiO2 was synthesized by a facile one-pot method. The three-component composite exhibited much superior visible-light photocatalytic activities for ibuprofen (IBP) degradation and mineralization as compared to single-component (TiO2) and two-component (Ag/TiO2, Ag–AgBr) systems, as well as the conventional Ag–AgBr/P25. After 6 h of white LED irradiation, 81% of organic carbon could be mineralized along with decreased aromaticity and toxicity of the IBP degradation products. Meanwhile, the synthesized Ag–AgBr/TiO2 exhibited much stronger antibacterial activities than TiO2 and conventional Ag–AgBr/P25 under white LED irradiation. More interestingly, the Ag–AgBr/TiO2 had novel antibacterial activities against E. coli in the dark as compared to other Ag–AgBr/semiconductor photocatalysts that have been reported. For the first time, the action spectrum of Ag–AgBr/TiO2 was investigated using different colors of LED to elucidate the roles of Ag nanoparticles and AgBr in its visible-light photocatalytic activity. It reveals that both AgBr and Ag nanoparticles were photoactive species contributing to the high photocatalytic performance. Among the various oxidative species (h+, ˙OH, O2˙− and 1O2), O2˙− was the predominant species involved in IBP degradation upon the Ag–AgBr/TiO2 under white LED irradiation. The visible-light photocatalytic mechanism of Ag–AgBr/TiO2 and factor contributing to its high photostability in water are proposed.
Isatin chloride: a phantom. Reactions of 2-(2,2-dichloro-2,3-dihydro-3-oxoindol-1-yl)-3H-indol-3-one

It is shown that 2-chloro-3H-indol-3-one 1 and analogues have never actually been isolated and that their reactions, reported over 115 years in 40 papers and 4 patents, are those of more or less impure 2-(2,2-dichloro-2,3-dihydro-3-oxoindol-1-yl)-3H-indol-3-one 14. Several reactions of the parent compound and its 5,5′-dimethyl and 5,5′-dibromo derivatives are reported, especially a reaction with dry methanol leading to the known indoloquinazoline 25 (‘methylisatoid’) and to the known alkaloid tryptanthrin 21 via a photolabile orthoester.
EVALUATION OF ANTI-INFLAMMATORY AND NITRIC OXIDE SCAVENGING ACTIVITY OF BAUHINIA VARIEGATA L. LEAVES BY IN VITRO METHOD

Antioxidant plays a major role in treatment of most of the ailments including inflammatory diseases. Inhibition of free radical generation is the foremost step to stop inflammatory reaction in body and antioxidant is successfully carrying out that activity. Hence, the present study was carried out to evaluate preliminary anti-inflammatory and antioxidant properties of ethanolic extract of leaves of Bauhinia variegata L. by in vitro models. The anti-inflammatory activity of the plant extract (BVE) was evaluated by the assay of inhibition of bovine serum albumin and egg albumin denaturation and antioxidant property by nitric oxide scavenging assay. BVE showed the protein denaturation inhibitory effect with IC50 value 35.84g/ml and at 50g/ml concentration showed 63.82% inhibition of protein denaturation in bovine serum albumin denaturation assay. The standard drug diclofenac sodium at the same concentration showed 77.52% inhibition. In egg albumin denaturation assay IC50 value for standard drug and BVE was calculated 33.08 and 40.32g/ml respectively. Standard drug diclofenac sodium showed 65.92% inhibition of protein denaturation at concentration of 50g/ml in egg albumin denaturation assay and at the same concentration test drug BVE showed 46.77% of inhibition. Whereas, BVE showed 36.62% of nitric oxide scavenging activity at 50g/ml concentration and IC50 value was calculated 64.81g/ml in the study. The results of this preliminary study suggested the anti-inflammatory and antioxidant property of the plant.
Diffusion-limited interpretation of the induction period in the relaxation in surface tension due to the adsorption of straight chain, small polar group surfactants : theory and experiment

The relaxation in surface tension due to the adsorption of bulk-soluble, unbranched, long chain surfactants with small polar groups at the air-water interface is often characterized by an initial induction period in which the surface tension relaxes very slowly. In this study, the origin of this induction in the surface tension relaxation is attributed to intermolecular cohesive forces among the adsorbed surfactant molecules which develop as the surface coverage increases.
Numerical Study of the RespiCon Sampler Performance in the Calm Air

Results of a numerical study of the RespiCon sampler performance in the calm air are presented. The air flow is described by the Navier–Stokes equations of axisymmetric stationary viscous flow of incompressible fluid that are numerically integrated by the computational fluid dynamics (CFD) software FLUENT. The collection efficiencies of RespiCon impactor stages agree quite well with experimental data and curves of the European standards for the thoracic and respirable dust fractions. The aspiration efficiencies derived from the numerical model overestimate the experimental data in the range of particle sizes of 10 μm < dp < 40 μm; however, they correctly predict the value of maximal size of aspirated particles. A new design of the RespiCon sampler with a higher volume flow rate was developed. Copyright 2014 American Association for Aerosol Research
Kinetics of Phosphate Sorption and Desorption by Synthetic Aluminous Goethite Before and after Thermal Transformation to Hematite

Abstract Goethite is an important component of many soils and its transformation to hematite by fire may affect phosphate retention. This study deals with the kinetics of phosphate sorption and desorption by synthetic aluminous goethites and their dehydroxylated products. Phosphate sorption and subsequent desorption were measured for periods up to 128 h. Phosphate sorption increased with equilibrium solution concentration, A1 substitution and surface area, and decreased with increasing crystal size. The trend in amount of phosphate sorbed was: partially dehydroxylated goethite > hematite > goethite. Sorption and desorption kinetics are well described by the modified Elovich equation. Desorption of a minor proportion of the sorbed P was rapid and this was sometimes followed by minor resorption. The amount of P desorbed directly reflected the amount that was initially sorbed. Acid dissolution of the Fe oxides with sorbed phosphate suggested that most phosphate was present at the crystal surface and not in relatively poorly accessible micropores.
Estimation of oxygen diffusivity from anion porosity in minerals

An empirical model for predicting oxygen diffusivity from anion porosity is presented for a wide range of minerals. It is based on the examination of experimental diffusion data under anhydrous and hydrothermal conditions. The relationship between activation energies and pre-exponential factors in all minerals is assumed to obey a common compensation law regardless of diffusion medium (H2O, OH-, CO2 or O2). However, the H2O molecules and OH- groups are relatively small in volume and thus can migrate within mineral structures with given anion porosities easier than the CO2 and O2. As a result, the rates of oxygen diffusion in minerals under hydrothermal conditions are greater than those under anhydrous conditions. The Arrhenius parameters for oxygen diffusion in about 130 minerals have been estimated for the anhydrous and hydrothermal conditions, respectively. The empirical results on oxygen diffusivity are internally consistent for the minerals of geochemical interest and thus can be applicable to oxygen isotope geospeedometry during cooling of high-temperature mineral assemblages.
ARCHITECTURE OF SYSTEMS ON CHIP

In this chapter we have first provide basic concepts and definitions to understand the concept of system-on-chip and the related business and technology contexts. We then give a historical excursus of SoC evolution in the last two decades. We analyze the state of the art in SoC architectures, restricting our focus on Consumer Portable SoCs which are probably the largest volume and fastest evolving, due to the extremely dynamic and fiercely competitive market. We analyze performance requirements and architectural trends, highlighting the main challenges in architectural evolution and promising approaches to address them. Finally, we survey design technology, methods and tools needed to support the evolution of SoCs in the next decade.
Identification, classification and relative stability of tautomers in the cambridge structural database

Families of tautomers in the Cambridge Structural Database (CSD) have been identified, analysed and classified. We identified 108 molecules that crystallise in two different tautomeric forms. Most commonly, pairs of tautomers crystallise together in the same crystal structure. Tautomeric polymorphs—pairs of tautomers crystallising in different crystal structures with no other or identical components—are very rare. The calculation of the relative stabilities of the different pairs of tautomers mirrors the relative frequencies with which tautomeric forms are observed in the CSD. Our improved understanding of the factors influencing tautomeric preferences in crystal structures may allow the prediction and design of crystal structures containing tautomeric forms that are, as yet, unobserved in the solid state.
Partition-Based Bayesian Optimization for Stochastic Simulations

Bayesian optimization (BO) is a popular simulation optimization approach. Despite its many successful applications, there remain several practical issues that have to be addressed. These includes the non-trivial optimization of the inner acquisition function (search criterion) to find the future evaluation points and the over-exploitative behavior of some BO algorithms. These issues can cause BO to select inferior points or get trapped in local optimal regions before exploring other more promising regions. This work proposes a new partition-based BO algorithm where the acquisition function is optimized over a representative set of finite points in each partition instead of the whole design space to reduce the computational complexity. Additionally, to overcome over-exploitation, the algorithm considers regions of different sizes simultaneously in each iteration, providing focus on exploration in larger regions especially at the start of the algorithm. Numerical experiments show that these features help in faster convergence to the optimal point.
IoT Applications on Secure Smart System

The Internet of Things is altering social lives by associating regular items together. For instance, in a market or stores, all things can be associated with one another, framing a brilliant shopping framework In such system (Internet of Things) IoT framework, a cheap RFID label can be connected to every single item which, when placed into a smart shopping cart, can be automatically read by a cart equipped with an RFID reader. As a result, billing can be conducted from the shopping cart itself, keeping customers from holding up in a long line at checkout point. Alternatively, smart shelving, fitted with RFID readers, can be connected to this smart shopping network and can track stock, perhaps also updating a central server. Extra benefit of this kind of system is that list supervision becomes much easier, as every items can be automatically read by an RFID reader as an alternative of physically look over. To approve the plausibility of such a framework, in this work we distinguish the structure prerequisites of a brilliant shopping framework, fabricate a model framework to test usefulness, and plan a safe correspondence convention to make the framework handy. To the best of our capability, this is the first time that importance is being given to a smart shopping network with safeguards.
Coarse Grain Load Balance Algorithm for Detecting

– DNA information addresses the matter of sharing person-specific genomic sequences while not violating the privacy of their information subjects to support large-scale medical specialty analysis comes. The projected technique builds on the framework however extends the leads to variety of the way. One improvement is that our theme is settled, with zero chance of a wrong answer. We have a tendency to additionally offer a brand new in operation purpose within the reference frame tradeoff, by giving a theme that’s doubly as quick as theirs however this time is intended by the very fact that storage is cheaper than computation in current cloud computing evaluation plans. Moreover, our cryptography of the information makes it attainable for us to handle a richer set of queries than precise matching between the question and every sequence of the information.
WAVELET BASED IMAGE FUSION USING FPGA FOR BIOMEDICAL APPLICATION

1,2,3,4Assistant Professor, Department of E&TC Engineering, SVERI’s College of Engineering, Pandharpur, Maharashtra, India. ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract An emerging concept of hardware co-simulation using MATLAB and Xilinx System Generator for implementation of wavelet based image fusion is presented in this research work. This research work presents a flexible system for image fusion algorithms for gray scale images by using as few as possible System Generator Blocks. Performance of this system implemented on FPGA board Virtex6 XC6VLX240T prototype. This research work presents DWT, implemented with the filter banks whose levels can be adjusted. The perfect reconstruction can be obtained with the down sampling of the images. Wavelet decomposition provides a simple hierarchical frame work to fuse images with different spatial resolution. Discrete wavelet transformation is presented concisely for the understanding of the wavelet based image fusion method. To best retain the quality of the input images, a strategy that is flexible enough to minimize the necessary operations to limit potential image quality deterioration is proposed. In the proposed fusion approach, the wavelet coefficients for the fused images are selected based on the suggested maximum magnitude criterion. Our results clearly suggest that the wavelet based fusion can yield superior properties to other existing methods in terms of both spatial and spectral resolutions, and their visual appearance.
EFFECT OF METHODS AND LEVELS OF IRRIGATION AND FARMING SYSTEMS ON WATER PRODUCTIVITY, GROWTH AND YIELD OF CUCUMBERS (CUCUMIS SATIVUS L.) AND ZUCCHINI (CUCURBITA PEPO L.)

Three field experiments were conducted in Al-Buamer region, Al-Yousifiya sub-district, Baghdad province during the agricultural season 2019. The study aims to know the effect of three methods of irrigation, which are surface irrigation, drip irrigation, surface drip irrigation, subsurface drip irrigation, and three levels of humidity (35, 50, 65%) and their interaction with two farming systems (single and intercropping) for both cucumber and zucchini crops. The treatments of each experiment were cultivated separately using Split-Plot Design according to The Randomized Complete Block Design (RCBD), with three replicates. cucumber seed (Ghzeer cultivar) and zucchini seeds (Fouadi cultivar) were cultivated on 1/4/2019 and the irrigations of germination were given by surface irrigation on 1-15 / 4/2019 and the first harvest was on 5/15/2019 and the harvests continued to the date of 7/15/2019 for zucchini by the single farming system and to date 1/8/2019 for cucumber by the single farming system and by the single and intercropping farming system for cucumber and zucchini. The process of evaluating the soil moisture content has been conducted continuously throughout the experiment period, while the moisture content of the soil indicates to the depletion of 35, 50, and 65% of the available water. Irrigation is conducted by adding the depth of water needed to reach the moisture content at the field capacity for the field soil using the moisture tension curve of the soil and by the gravimetric method. The efficiency of water productivity and leaf area (dm2.plant-1), plant lengths (cm) and the number of branches(branches.plant-1) were estimated, and the total fruit yield (Mag.ha-1) for all experimental unit and with cumulatively, the results showed the following: 1. The best water consumption rate in the single farming system for cucumber plants amounted to (325, 297, 264 mm.season-1) for the treatments of surface irrigation, drip irrigation, and subsurface irrigation, and for the zucchini plant amounted to (299, 270, 239 mm.season-1) and for the same above irrigation treatments respectively. 2The intercropping farming system for cucumber and zucchini gave the highest water consumption rate amounted to (308, 283, 252 mm.season-1), respectively for surface irrigation, drip irrigation, and subsurface irrigation. 3. The best average of water productivity by the single farming system for the cucumber plant amounted to (4.97 kg.m-3) at a moisture level of 35% of available water. As for the zucchini plant, it amounted to (6.68 kg.m-3) for the same farming system and the same level of moisture depletion. 4. The treatment of subsurface drip irrigation gave the highest water production efficiency for cucumber plants at the single farming system amounted to (4.97 kg.m-3) at the level of moisture depletion 35% of the available water. The same treatment and the same moisture level for zucchini gave the highest rate amounted to (6.68 kg.m-3).