Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Optimization of Workload usage with Virtualization in Cloud Computing Environment

application integration technologies are performed in a rigid and slow process that usually takes a long time to build and deploy, requiring professional developers and domain experts. They are server-centric and thus do not fully utilize the computing power and storage capability of client systems. Cloud computing is a new infrastructure deployment environment that delivers on the promise of supporting on- demand services like computation, software and data access in a flexible manner by scheduling bandwidth, storage and compute resources on the fly without required end-user knowledge of physical location and system configuration that delivers the service. This paper presents the architecture and the organization of a Mashup Container that supports the deployment and the execution of Event Driven Mashups i.e., Composite Services in which the Services interact through events rather than through the classical Call-Response paradigm, following the Platform as a Service (PaaS) model, i.e., the deployment of customer-created applications in cloud platform. In collaboration with PaaS, Virtualization provides an opportunity for extension of independent virtual resources based on available physical systems. In addition, it can provide significant benefits in data centers, such as dynamic resource configuration, live virtual machine migration. Services are deployed in virtual machines (VMs) and resource utilization can be greatly improved. This paper highlights the results of virtualization of mashup container through its supporting scalability and fault tolerance in cloud computing environment.
Backpropagation with Continuation Callbacks : Foundations for Efficient and Expressive Differentiable Programming

Training of deep learning models depends on gradient descent and end-to-end differentiation. Under the slogan of differentiable programming, there is an increasing demand for efficient automatic gradient computation for emerging network architectures that incorporate dynamic control flow, especially in NLP. In this paper we propose an implementation of backpropagation using functions with callbacks, where the forward pass is executed as a sequence of function calls, and the backward pass as a corresponding sequence of function returns. A key realization is that this technique of chaining callbacks is well known in the programming languages community as continuation-passing style (CPS). Any program can be converted to this form using standard techniques, and hence, any program can be mechanically converted to compute gradients. Our approach achieves the same flexibility as other reverse-mode automatic differentiation (AD) techniques, but it can be implemented without any auxiliary data structures besides the function call stack, and it can easily be combined with graph construction and native code generation techniques through forms of multi-stage programming, leading to a highly efficient implementation that combines the performance benefits of define-then-run software frameworks such as TensorFlow with the expressiveness of define-by-run frameworks such as PyTorch.
Nucleophilicity of Neutral versus Cationic Magnesium Silyl Compounds

Charge and ancillary ligands affect the reactivity of monomeric tris(trimethylsilyl)silyl magnesium compounds. Diamine-coordinated (tmeda)Mg{Si(SiMe3)3}Me (tmeda = tetramethylethylenediamine; 2-tmeda) and (dpe)Mg{Si(SiMe3)3}Me (dpe =1,2-N,N-dipyrrolidenylethane; 2-dpe) are synthesized by salt elimination reactions of L2MgMeBr and KSi(SiMe3)3. Compounds 2-tmeda or 2-dpe react with MeI or MeOTf to give MeSi(SiMe3)3 as the product of Si–C bond formation. In contrast, 2-tmeda and 2-dpe undergo exclusively reaction at the magnesium methyl group with electrophiles such as Me3SiI, B(C6F5)3, HB(C6F5)2, and [Ph3C][B(C6F5)4]. These reactions provide a series of neutral, zwitterionic, and cationic magnesium silyl compounds, and from this series we have found that silyl group transfer is less effective with cationic magnesium compounds than neutral complexes.
The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

Abstract. Different methods for assessing evapotranspiration (ET) can significantly affect the performance of land surface models in portraying soil water dynamics and ET partitioning. An accurate understanding of the impact a method has is crucial to determining the effectiveness of an irrigation scheme. Two ET methods are discussed: one is based on reference crop evapotranspiration (ET0) theory, uses leaf area index (LAI) for partitioning into soil evaporation and transpiration, and is denoted as the ETind method; the other is a one-step calculation of actual soil evaporation and potential transpiration by incorporating canopy minimum resistance and actual soil resistance into the Penman–Monteith model, and is denoted as the ETdir method. In this study, a soil water model, considering the coupled transfer of water, vapor, and heat in the soil, was used to investigate how different ET methods could affect the calculation of the soil water dynamics and ET partitioning in a crop field. Results indicate that for two different ET methods this model varied concerning the simulation of soil water content and crop evapotranspiration components, but the simulation of soil temperature agreed well with lysimeter observations, considering aerodynamic and surface resistance terms improved the ETdir method regarding simulating soil evaporation, especially after irrigation. Furthermore, the results of different crop growth scenarios indicate that the uncertainty in LAI played an important role in estimating the relative transpiration and evaporation fraction. The impact of maximum rooting depth and root growth rate on calculating ET components might increase in drying soil. The influence of maximum rooting depth was larger late in the growing season, while the influence of root growth rate dominated early in the growing season.
Heuristic approaches for multi-criteria optimisation in kidney exchange programs

The Kidney Exchange Problem (KEP) is an optimisation problem that was first discussed in Rapaport (1986) but has only more recently been the subject of much work by combinatorial optimisation re-searchers. This has been in parallel with its increased prevalence in the medical community. In the basic formulation of a KEP, each instance of the problem features a directed graph D = (V,A) . Each node i ∈ V represents an incompatible pair wherein the patient needs to trade kidneys with the patient of another incompatible pair. The goal is to find an optimal set of cycles such that as many patients as possible receive a transplant. The problem is further complicated by the imposition of a cycle-size constraint, usually considered to be 3 or 4. Kidney exchange programs around the world implement different algorithms to solve the allocation problem by matching up kidneys from potential donors to patients. In some systems all transplants are considered equally desirable, whereas in others, ranking criteria such as the age of the patient or distance they will need to travel are applied, hence the multi-criteria nature of the KEP. To address the multi-criteria aspect of the KEP, in this paper we propose a two-stage approach for the kidney exchange optimisation problem. In the first stage the goal is to find the optimal number of exchanges, and in the second stage the goal is to maximise the weighted sum of the kidney matches, subject to the added constraint that the number of exchanges must remain optimal. The idea can potentially be extended to multiple-objectives, by repeating the process in multiple runs. In our preliminary numerical experiments, we first find the maximum number of kidney matches by using an existing open source exact algorithm of Anderson et al. (2015). The solution will then be used as an initial solution for the stage two optimisation problem, wherein two heuristic methods, steepest ascent and random ascent, are implemented in obtaining good quality solutions to the objective of maximizing total weight of exchanges. The neighbourhood is obtained by two-swaps. It is our intention in the future to implement a varying neighbourhood scheme within the same two heuristic framework, or within other meta-heuristic framework.
Graft copolymerization of Chitosan with acrylic acid used in waste water treatment

Environment is deteriorating day by day due to industrial pollution, toxic chemicals leads to the accumulation of heavy metals contamination in the waste water. The waste water polluted by these effluents disturbs the normal use of water for agriculture, aquatic life. The purity and quality of water is a basic concern to mankind. So these effluents must be treated. Natural biopolymers are industrially attractive because of their capability of removing the metal-ions present in the waste water. Among the many other low cost absorbents identified chitosan has the highest sorption capacity for several metal ions (Deshpande, 1986). The use of biosorbent chitosan makes it possible to remove both heavy metals and organic compounds. Chitin, chitosan, acrylic acid polymers are individually used for waste water treatment due to biocompatibility and inexpensive. In the present study, graft copolymer of chitosan with acrylic acid polymer has been synthesized using ceric ammonium nitrate, nitric acid redox system under UV irradiation. The synthesized copolymer was subjected to various analytical techniques such as Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM) to confrrm the formation of copolymer. The grafted copolymer was analyzed and proved with FTIR and DSC. The SEM results show the formation and strong chemical interaction between chitosan and acrylic acid. The prepared graft copolymer was treated with metal solutions containing copper, chromium and the results revealed that the copolymer prepared was excellent in removing the heavy metals like copper, chromium, etc. Hence, chitosan-g-acrylic acid copolymer could open way for waste water treatment in industrial level.
Quantum Zeno Effect and Atomic Population Inversion

Quantum Zeno effect can be applied to quantum information processing，and can reveal the nature of quantum measurement. In addition, it has also many potential applications. This suggests that studying the quantum Zeno effect has great theoretical and experimental significance. In this work, the system of a two-level atom interacting with a single mode field is considered and the dynamics of the system subjected to successive projection measurements is studied, and the quantum Zeno effect is presented. Moreover, the influence of the quantum Zeno effect on atomic population inversion is discussed. Based on Schrodinger equation, the survival probability of the initial state of the two-level atom subjected to frequently repeated measurements can be obtained. The survival probability depends on the time interval between measurements. It is seen that the exponential decay of the system under slowly frequent measurements is presented instead of the naturally oscillatory process. For slowly repeated measurements the atomic population inversion and the survival probability of initial state decline rapidly at the early time and then both of them become unchanged. As the time intervals of the measurements are sufficiently short, the quantum Zeno effect occurs. These results have also shown how the measurement can inhibit the atomic population inversion.
First record of the land planarian Bipalium kewense Moseley, 1878 (Tricladida: Geoplanidae: Bipaliinae) from Cuba

The cosmopolitan land planarian Bipalium kewense Moseley, 1878 (Tricladida: Geoplanidae: Bipaliinae) is recorded for first time from Cuba on the basis of specimens from the Gran Parque Natural Topes de Collantes, Sancti Spíritus province. Both external morphology and internal anatomy agree with B. kewense features. Maximum likelihood and Bayesian inference analysis of mitochondrial cytochrome c oxidase I (COI) sequences obtained from Cuban individuals form a well-supported clade with other specimens of B. kewense from Europe. This constitutes the first Cuban land planarian identified to species level based on morphological and molecular studies.
Effect of Implant Site Preparation by Piezoelectric and Conventional Drilling on Autograft Cell Viability: A Clinical Trial

Background and Aim: Implant site preparation with minimal trauma is an important factor in success of implant treatment and has a great effect on osseointegration. Piezoelectric bone surgery was introduced as a modern technique for micrometric osteotomy with precise, controllable action. Preservation of osteoblast cell viability is critical to achieve successful osseointegration. The present study was carried out to evaluate the effects of two implant site preparation methods on cell viability of bone particles collected during osteotomy. Materials and Methods: In this clinical trial, 45 samples of bone chips were collected during implant site preparation by conventional drilling and 45 samples were collected by piezosurgery. Cell viability of bone chips collected by osteotomy was evaluated using MTS kit in both groups. Data were analyzed by t-test and Kolmogorov-Smirnov test via SPSS version 21 software. Results: Findings showed that the percentage of cell viability in the piezosurgery group (54.40%±7.71%) was greater than that in the conventional drilling group (29.93%±6.08%) and this difference was statistically significant (P=0.000). Conclusion: Findings of the present study show that bone particulates collected by piezoelectric system have greater potential for longevity than those collected by conventional rotary system and can enhance bone healing around implants and result in successful osteointegration.
Wrinkle Resistance and Tensile Strength of Jute-based Fabrics Modified by Treatment with N- Methylol System: Part I-Effect of Treatment in Presence of Inorganic Salt Catalysts

The potentiality of the jute fabric to develop wrinkle resistance,with a view to using it in diversified applications, has been examined. Jute fabrics develop wrinkle resistance to a satisfactory level through cross linking with common reagents like urea formaldehyde, melamine formaldehyde, dimethylol ethylene urea and dimethylol dihydroxyethylene urea in the presence of catalysts. The changes in properties of jute fabric, particularly the wrinkle resistance and tensile strength at various conditions of concentration of resin-catalyst systems, duration and temperature of curing, etc., were examined. The results, when compared with those of cotton fabrics, indicate that there are some common trends of relationship between wrinkle resistance and tensile strength of jute fabric, but with some deviations in the latter. The results of crosslinking experiments with the above-mentioned resins, using inorganic salts as catalysts, are discussed.
Three-Dimensional Path Planning Method for Autonomous Underwater Vehicle Based on Modified Firefly Algorithm

Path planning is a classic optimization problem which can be solved by many optimization algorithms. The complexity of three-dimensional (3D) path planning for autonomous underwater vehicles (AUVs) requires the optimization algorithm to have a quick convergence speed. This work provides a new 3D path planning method for AUV using a modified firefly algorithm. In order to solve the problem of slow convergence of the basic firefly algorithm, an improved method was proposed. In the modified firefly algorithm, the parameters of the algorithm and the random movement steps can be adjusted according to the operating process. At the same time, an autonomous flight strategy is introduced to avoid instances of invalid flight. An excluding operator was used to improve the effect of obstacle avoidance, and a contracting operator was used to enhance the convergence speed and the smoothness of the path. The performance of the modified firefly algorithm and the effectiveness of the 3D path planning method were proved through a varied set of experiments.
Effects of different irrigation intervals and fertilizer applications on certain chemical contents of 'Braeburn' apple cultivar

The aim of present study was to investigate effects of different irrigation intervals and fertilizers on total lipid, fatty acid and sugar accumulation of Braeburn apple cultivar under Mediterranean climatic conditions. Irrigation program was performed for two consecutive years with three different intervals (1, 3 and 7 days). In fertilization, 40 g N, 32 g P2O5 and 80 g K2O per tree (with four replications) applied in the same doses for both years, except for the increased N (50 g per tree) for second year, considering the vegetative growth of the trees. The fruits were commercially harvested in 2006 season. The lipid content ranged from 0.22% (daily irrigation without fertilizer) to 0.70% (irrigation in 7 days intervals with fertilizer). The highest fatty acid was obtained from treatment 3 (irrigation in 3 days intervals without fertilizer) (83.95%), while the treatment 6 provided the least value with 64.08% (irrigation in 7 days intervals with fertilizer). Although certain changes on fructose, glucose, sucrose and total sugars content were detected, the differences were not statistically significantly among the treatments.
Differential Expression of Genes Associated With Degradation Enhancement of Imazethapyr in Barnyardgrass (Echinochloa crus-galli)

The understanding of mechanism of herbicide resistance in weeds is essential for adequate or innovative weed management practices. The aim of this study was to identify and analyze the expression of genes related to degradation enhancement of imazethapyr in barnyardgrass (Echinochloa crus-galli L. Beauv.). One susceptible (SUSSP01) and two populations previouslly identified as resistant to imazethapyr (ARRGR01 and PALMS01) were used. Gene expression of CYP and GST, the translation initiating factor eIF4B, and ALS genes were evaluated after imazethapyr spraying. A reference gene stability analysis was carried out, wherein the genes 18S and actin showed to be more stable in response to the population and herbicide treatment. The gene expression analysis was performed by qRT-PCR. There was no difference in the relative expression of the ALS gene. The CYP81A6 and GSTF1 genes showed higher relative expression in the resistant populations. The CYP81A6 gene had expression 9.61 and 8.44 higher in the resistant populations ARRGR01 and PALMS01, respectively, in comparison with the untreated susceptible population. The expression of this gene was induced by spraying the herbicide imazethapyr. The GSTF1 gene showed higher relative expression in PALMS01 population, reaching 12.30 times higher in plants treated with imazethapyr in relation to untreated susceptible population. The expression of eIF4B gene in the resistant populations treated with imazethapyr was about six times higher than observed in susceptible population. The high relative expression of CYP81A6 and GSTF1 genes indicate the importance of degradation enhancement for the resistance of barnyargrass to imazethapyr.
Financial Globalisation and Poor Countries: The Impact of International Asset Demand Instability on Emerging Markets

The expansion and contraction of portfolio capital flows from the global financial centres towards emerging markets over the past decade has generated considerable controversy over their underlying economic determinants, and by extension their instability: there is growing evidence that these are related to conditions in the financial markets of developed countries (FitzGerald 2002). The resulting asset bubbles have a serious impact on the real economy in developing countries even in the presence of low inflation, fiscal balance and monetary rectitude (IMF 2000). More seriously, such fluctuations degrade income distribution and social services, thus exacerbating poverty problems (FitzGerald 2001). Nonetheless, orthodox policy design by international financial institutions such as the International Monetary Fund (IMF) and the World Bank still focuses on the conditions in emerging (“host”) markets themselves – often known as “fundamentals” – rather than the determinants of the demand in developed (“home”) countries for emerging market securities as an asset class. The economic theory of international capital markets is still in its infancy, in marked contrast to the sophistication of the microeconomics of portfolio choice. Sticky prices, market segmentation, heterogeneous investors, persistent currency misalignments despite arbitrage and the cost of scarce information all need to be accounted for if the model is even to approximate the real world in a useful way (Dumas 1994). In marked contrast, the framework that informs policy debate appear to reflect, in essence, a simple microeconomic portfolio composition rule based on given relative returns and risks of various assets. Policy in developing countries is then directed towards reducing the risk of and increasing the return in these assets by appropriate macroeconomic regimes, liberalisation strategies and property guarantees. However, neither the internal dynamics of capital markets – particularly the tendency to endogenous asset bubbles – nor the consequences of external shocks such as US interest rates, are not seen as relevant objectives for international development policy. Recent academic literature has begun to emphasise home market factors such as interest rates, changing risk appetite, herding behaviour and momentum trading. However, attempts to model these flows have revealed difficulties in separating home from host factors – or “push” and “pull” effects as they are conventionally known. This is because aggregate flows and yield spreads do not simply reflect an underlying microeconomic process of portfolio allocation, based on known risk and return characteristics of emerging markets in relation to wealth and riskless return on the investors’ own market. At the macroeconomic level aggregate market behaviour is such that:
A Single-Solution Method for the Determination of Soluble Phosphate in Sea Water

It has been found that a reagent containing sulphuric acid, ammonium molybdate and ascorbic acid may be used as a single-solution reagent for the determination of phosphate in sea water. Development of the molybdenum-blue colour is complete in 24 h at room temperature and in 30 min at 60° C; the colour is stable for at least 3 days. Beer's law is obeyed closely up to at least 500 μg PO43−-P/1. The salt error is approximately 4% with sea water of chlorinity 19·3%. The interference due to either arsenate or silicate at their concentrations in sea water is negligible.
Omental gastrointestinal stromal tumor: Arriving at a diagnosis with therapeutic options in the molecular era

Omental extragastrointestinal stromal tumors are rare neoplasms. We present a case of an elderly woman who was found to have a large solid and cystic pelvic mass of presumed ovarian origin with associated omental neovascularity. Histopathologic examination showed a mixed spindled and epithelioid tumor which was essentially negative for c-KIT and positive for smooth muscle markers by immunohistochemistry. A next generation sequencing panel was performed, analyzing the patient’s tumor for actionable mutations in 50 genes commonly associated with human cancers. Identification of a point mutation in PDGFRA enabled accurate diagnosis and provided an option for targeted therapy for this rare tumor.
Using the T OY(FD)Constraint Functional Logic System

This paper highlights the power of T OY(FD), a functional logic language with support for finite domain constraints, and shows, by means of examples, how combinatorial and optimization problems are easily coded and solved. The paper also introduces a novel proposal, in functional logic languages, to allow the recovering and management, at the user level, of internal information about the constraint solving process at runtime.