Miracle-dz/UniFAR-FTUs huggingface dataset:
Strategies for Intracellular Survival of Burkholderia pseudomallei

Burkholderia pseudomallei is the causative agent of melioidosis, a disease with high mortality that is prevalent in tropical regions of the world. A key component of the pathogenesis of melioidosis is the ability of B. pseudomallei to enter, survive, and replicate within mammalian host cells. For non-phagocytic cells, bacterial adhesins have been identified both on the bacterial surface and associated with Type 4 pili. Cell invasion involves components of one or more of the three Type 3 Secretion System clusters, which also mediate, at least in part, the escape of bacteria from the endosome into the cytoplasm, where bacteria move by actin-based motility. The mechanism of actin-based motility is not clearly understood, but appears to differ from characterized mechanisms in other bacterial species. A small proportion of intracellular bacteria is targeted by host cell autophagy, involving direct recruitment of LC3 to endosomes rather than through uptake by canonical autophagosomes. However, the majority of bacterial cells are able to circumvent autophagy and other intracellular defense mechanisms such as the induction of inducible nitric oxide synthase, and then replicate in the cytoplasm and spread to adjacent cells via membrane fusion, resulting in the formation of multi-nucleated giant cells. A potential role for host cell ubiquitin in the autophagic response to bacterial infection has recently been proposed.
Vitamin D receptor gene BsmI polymorphisms in Egyptian children and adolescents with systemic lupus erythematosus

AbstractSystemic lupus erythematosus (SLE) is a multisystemic autoimmune disease. The vitamin D receptor (VDR) gene is a candidate gene for susceptibility to autoimmune disorders. To date, only a few studies concerned the association of the VDR gene polymorphisms with childhood-onset SLE.In this study, we aimed to investigate the BsmI polymorphisms in the VDR gene, for the first time in Egyptian children and adolescents with SLE, to determine whether this polymorphism could be a marker of susceptibility to or severity of SLE and we also measured the serum level of 25-hydroxyvitamin D (25[OH] D) to assess its relation to such polymorphism.This was a case–control study including 100 patients with SLE and matched with age, sex, and ethnicity and 100 healthy controls. All subjects were genotyped for the VDR gene BsmI polymorphism by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), whereas the serum 25(OH) D levels were measured by enzyme-linked immunosorbent assay method.Compared to the contros subjects, the VDR BsmI BB genotype and B allele were overrepresented among SLE patients (odda ratio [OR]: 5.5; 95% confidence interval [CI]: 1.9–15.9; P = 0.002 and OR: 1.84; 95% CI: 1.21–2.80; P = 0.003; respectively). We found a significant association between VDR BsmI BB genotype with lupus nephritis (OR: 6.8; 95% CI: 1.18–50.5; P = 0.001). However, we did not observe any significant association of studied polymorphisms with other clinical manifestations, laboratory profiles of SLE, or disease activity score. Our data revealed no association between VDR BsmI genotypes or alleles and serum 25-hydroxyvitamin D levels among studied patients with SLE (all P > 0.05). We demonstrate for the first time, to the best of our knowledge, that the VDR BsmI gene polymorphisms may contribute to susceptibility to SLE in Egyptian children and adolescents. Moreover, we found that the BB genotype constituted a risk factor for the development of nephropathy among studied patients with SLE. However, we did not find any significant association of the VDR BsmI gene variants with other clinical manifestations, laboratory profiles of SLE, disease activity index score, or serum 25-hydroxyvitamin D levels.
Improving the Efficiency of OWL Based Traversal Using Revisiting Avoidance Algorithm

: Ontologies have become the best modeling tool, in many applications majorly semantic web. Creation of ontology remains as a difficult task. Ontology bootstrapping is one of the technique, depends on a set of pre-defined textual sources like web services. The advantage of web services usually consists of both WSDL and free text descriptors. And these are evaluated by three methods namely TF/IDF, web context generation and the bootstrapping technique. The bootstrapping method using large repository of real-world web services has a drawback of revisiting of the concepts again and again. Our proposed method for ontology creation with an revisiting avoidance algorithm, this algorithm helps us to overcome from revisiting strategies in the bootstrapping ontologies. The introduced algorithm will produce the efficient result as described this is paper
Distance estimation and direction finding using I2C protocol for an auto-navigation platform

This paper presents an auto navigation platform in Arduino which uses the i2c protocol to interface a digital compass and a rotation encoder to calculate distance travelled and direction with respect to the Earth's magnetic field. The digital compass IC used here is the HMC6352, while the rotation encoder is designed with the help of a MOC7811 coupler IC. The compass contains complete 2-axis sensors, analog, and digital electronics and also contains all the firmware for heading computation and calibration. The rotation encoder is an electromechanical device which obtains the angular position of the motor shaft it is connected to and then converts this position into some analog or digital value. This is mostly done using optoelectronic sensors which provide electric pulses in response to some stimulus. We use this property of the device to accurately guide our auto navigated device to pre-determined distances.
Assessment of Phenolic Compounds and Anti-Inflammatory Activity of Ethyl Acetate Phase of Anacardium occidentale L. Bark

The bark of A. occidentale L. is rich in tannins. Studies have described various biological activities of the plant, including antimicrobial, antioxidant, antiulcerogenic and antiinflammatory actions. The objective of this study was to assess the activity of the ethyl acetate phase (EtOAc) of A. occidentale on acute inflammation and to identify and quantify its phenolic compounds by HPLC. The method was validated and shown to be linear, precise and accurate for catechin, epicatechin, epigallocatechin and gallic acid. Swiss albino mice (Mus musculus) were treated with saline, Carrageenan (2.5%), Indomethacin (10 mg/kg), Bradykinin (6 nmol) and Prostaglandine E2 (5 µg) at different concentrations of EtOAc - A. occidentale (12.5; 25; 50; and 100 mg/kg/weight p.o.) for the paw edema test. Challenge was performed with carrageenan (500 µg/mL i.p.) for the doses 50 and 100 mg/kg of EtOAc. Levels of cytokines IL-1, TNF-α, IL-6 and IL-10 were also measured. All EtOAc - A. occidentale concentrations reduced the edema. At 50 and 100 mg/kg, an anti-inflammatory response of the EtOAc was observed. Carrageenan stimulus produced a neutrophil count of 28.6% while 50 and 100 mg/kg of the phase reduced this to 14.5% and 9.1%, respectively. The EtOAc extract reduced levels of IL-1 and TNF-α. These results suggest that the EtOAc plays a modulatory role in the inflammatory response. The chromatographic method can be used for the analysis of the phenolic compounds of the EtOAc phase.
Analyze and Design of Information Systems Using OODPM for Small Scale Businesses

In the modern word small-scale businesses recognize the need for computerized information system. There are number of methodologies in the computer system development world targeted to improve the design and planning processes of information system. Object Oriented Design by Prototype Methodology (OODPM) is one of such methodologies. It combines two methodologies: the objects methodology and the prototype methodology. The purpose of this article is to show the main aspects of using OODPM for designing information system for small-scale businesses.
Computer-based tools for Improving the Language Mastery : Authoring and Using Electronic Dictionaries

We present in this paper computer-based tools for language learning based on constructionism. We focus language learning on using and authoring multilingual dictionaries, which enable the assimilation of fundamental linguistic concepts (lexicon, meanings, semantic categories, semantic relationships, and taxonomy.) We have developed automatic tools which helps in this task, allowing to use and author bilingual dictionaries. The linguistic concepts involved in the pedagogical goals are highlighted, and so the chosen learning model, which are the requirements for the development of both author and user tools. The authoring tool supports consistency of the intended semantics of the lexicon and can allow to detect omissions and inconsistency. These tools can be advantageously used in language teaching. Computers should improve learning and teaching into the classroom [Shneiderman,1995]
Democratic deconsolidation revisited: Young Europeans are not dissatisfied with democracy

Is democracy running out of steam? In recent years, politicians, pundits, and academics have voiced the idea that young citizens in industrialized democracies lack commitment to a democratic system of politics. This paper analyzes evaluations of democracy among over 350,000 Europeans between 2002 and 2017 and shows that – contrary to popular perceptions – young people are generally more satisfied with democracy than older citizens. Moreover, satisfaction with democracy has increased among Europeans of all ages. As long as citizens believe that democratic regimes work well in practice, it is doubtful that support for democracy will erode.
Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters

The present paper discusses robustness against outliers in a principal component analysis (PCA). We propose a class of procedures for PCA based on the minimum psi principle, which unifies various approaches, including the classical procedure and recently proposed procedures. The reweighted matrix algorithm for off-line data and the gradient algorithm for on-line data are both investigated with respect to robustness. The reweighted matrix algorithm is shown to satisfy a desirable property with local convergence, and the on-line gradient algorithm is shown to satisfy an asymptotical stability of convergence. Some procedures in the class involve tuning parameters, which control sensitivity to outliers. We propose a shape-adaptive selection rule for tuning parameters using K-fold cross validation.
Afterword to varicocele and male infertility: current concepts and future perspectives

We summarize and comment on the topics discussed by the contributors to this Special Issue of Asian Journal of Andrology. The scope of varicocele covers a wide spectrum, including proteomics and metabolomics, hormonal control, interventional therapy, and assisted reproductive technology (ART). The selection of topics demonstrates the exciting breadth of this thematic area and the opportunity research holds for both increasing the understanding and improving the reproductive health of males with varicocele.
Hierarchical Anomaly Detection in Distributed Large-Scale Sensor Networks

In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this work is placed on the data integrity and accuracy problem caused by compromised or malfunctioning nodes. One of the key features of the proposed approach is that it provides an integrated methodology of taking into consideration and combining effectively correlated sensor data, in a distributed fashion, in order to reveal anomalies that span through a number of neighboring sensors. Furthermore, it allows the integration of results from neighboring network areas to detect correlated anomalies/attacks that involve multiple groups of nodes. The efficiency and effectiveness of the proposed approach is demonstrated for a real use case that utilizes meteorological data collected from a distributed set of sensor nodes.
A Survey of Automated GSM Based Irrigation Systems

Irrigation is the process of artificially supplying water to land where crops are cultivated. Traditionally hand pumps, canal water and rainfall were a major source of water supply for irrigation. This method has led to severe drawbacks like under irrigation, over-irrigation which in turn causes leaching and loss of nutrient content of soil. Changing environmental conditions and shortage of water have led to the need for a system which efficiently manages irrigation of fields. Automated irrigation system is a machine based system, which automates the irrigation of land by combining various software and hardware approaches together for field
VGID: A Virtual Hierarchical Distributed Grid Information Database

In large-scale grid applications, relationship between VOs is not simple information aggregating for autonomy and visiting security. This paper presents a virtual grid information database (VGID) which implements a hierarchical and distributed information management mechanism. An information model is presented with extensible resource metadata management and hierarchical information organization that manages storage-independent resources into a global information structure according to logical relations between resources. Local information database is built within a domain (VO), which includes information collection, storage, and query, as lots of information service has done. Based on dynamical domain information management with topology service and distributed query mechanism, local information databases are integrated to provide a user-transparent global information view. VGID supports standard XPath statement, and index-based query process is tested to be efficient. VGID has been applied to Information Service of ChinaGrid.
Characterization of phonocardiogram signals using bispectral estimation

The application of the bispectrum as a high-order spectrum (HOS) method in analyzing normal and pathological heart sound signal is investigated in this paper. The bispectrum of phonocardiogram (PCG) signals is used to characterize the abnormalities while detecting non-linearity or non-Gaussianity in order to improve the diagnostic performance. In the comparison of the diagonal slice of the bispectrum and the power spectrum of PCG signal, the results have shown that the HOS reveal the differences in heart sound analysis indicating non-Gaussianity or non-linearity. It is concluded that the diagonal slice and the peaks of bispectrum are efficiently determine the cardiac dysfunctions effecting on heart sounds.
Inequality at the Starting Gate: Social Background Differences in Achievement as Children Begin School

But the inequalities facing children before they enter school are less publicized. We should expect schools to increase achievement for all students, regardless of race, income, class, and prior achievement. But it is unreasonable to expect schools to completely eliminate any large pre-existing inequalities soon after children first enter the education system, especially if those schools are under-funded and over-challenged.
Resource Management and Scheduling in Cloud Environment

In Cloud Environment, the process of execution requires Resource Management due to the high process to the resource ratio. Resource Scheduling is a complicated task in cloud computing environment because there are many alternative computers with varying capacities. The goal of this paper is to propose a model for job-oriented resource scheduling in a cloud computing environment. Resource allocation task is scheduled for the Process which gives the available resources and user preferences. The computing resources can be allocated according to the rank of job . This paper constructs the analysis of resource scheduling algorithms. The time parameters of three algorithms, viz. Round Robin, Pre-emptive Priority and Shortest Remaining Time First have been taken into consideration. From this, it has been computed that SRTF has the lowest time parameters in all respects and is the most efficient algorithm for resource scheduling.
Performance Evaluation of STBC MIMO Systems with Linear Precoding

It is known that transmit channel side information (CSIT) is used to enhance the performance of space-time block codes based multi-antenna communication links. In this paper, we analyze how transmission algorithms can be adapted to the channel condition based on the degree of the available CSIT and the system diversity order. The precoding design criterion considered is minimizing the average pairwise error probability. The analyzed parameters are the bit error rate (BER) and the link throughput. Keywords — CSIT, precoding, STBC, waterfilling.
Kinematic Condition for Maximizing the Thrust of a Robotic Fish Using a Compliant Caudal Fin

The compliance of a fin affects the thrust of underwater vehicles mimicking the undulatory motion of fish. Determining the optimal compliance of a fin to maximize thrust is an important issue in designing robotic fish using a compliant fin. We present a simple method to identify the condition for maximizing the thrust generated by a compliant fin propulsion system. When a fin oscillates in a sinusoidal manner, it also bends in a sinusoidal manner. We focus on a particular kinematic parameter of this motion: the phase difference between the sinusoidal motion of the driving angle and the fin-bending angle. By observing the relationship between the thrust and phase difference, we conclude that while satisfying the zero velocity condition, the maximum thrust is obtained when a compliance creates a phase difference of approximately π/2 at a certain undulation frequency. This half-pi phase delay condition is supported by thrust measurements from different compliant fins (four caudal-shaped fins with different aspect ratios) and a beam bending model of the compliant fin. This condition can be used as a guideline to select the proper compliance of a fin when designing a robotic fish.
Hardware-Based Pro ling: An E ective Technique for Pro le-Driven Optimization

Pro le-based optimizations can be used for instruction scheduling, loop scheduling, data preloading, function in-lining, and instruction cache performance enhancement. However, these techniques have not been embraced by software vendors because programs instrumented for pro ling run signi cantly slower, an awkward compile-run-recompile sequence is required, and a test input suite must be collected and validated for each program. This paper introduces hardware-based pro ling that uses traditional branch handling hardware to generate pro le information in real time. Techniques are presented for both one-level and two-level branch hardware organizations. The approach produces high accuracy with small slowdown in execution (0.4%{4.6%). This allows a program to be pro led while it is used, eliminating the need for a test input suite. With contemporary processors driven increasingly by compiler support, hardware-based pro ling is important for high-performance systems.
A Distributed Fine-Grained Flow Control System for Scalable Aircraft Spares Management and Optimization in Clouds

In this paper, we presented the design, implementation, and evaluation of a distributed system to manage the parallelized analytics for Aircraft Spare parts Management and Optimizations (SMO), which is a well-known problem in logistics industry. Our proposed solution is able to solve the resource-intensive SMO problem using distributed computing infrastructures (e.g., private or public clouds) in a scalable manner. We designed and fine-tuned a parallel meta-heuristics based on a fine-grained flow control workflow model which enables flow controls of running parallel meta-heuristics in multiple processors and achieved significant performance gains. Together with priority based scheduling, the proposed system effectively dispatches submitted SMO jobs over the set of distributed resources to accommodate different classes of users. Extensive experimental studies were conducted to analyze the performance of parallelized SMO job executions in term of execution time, computation and data transmission time, waiting time, memory usage, etc. Insightful lessons have been drawn from the obtained results, and potential areas for further improvements have also been identified.
A fast video event recognition system and its application to video search

Techniques for recognizing complex events in diverse Internet videos are important in many applications. State-of-the-art video event recognition approaches normally involve modules that demand extensive computation, which prevents their application to large scale problems. In this demonstration, we present a fast video event recognition system, which requires just a few seconds to process a general YouTube video with a few minutes of duration. The development of this system is grounded on several important findings from a large set of empirical studies, where we systematically evaluated many technical options for each critical module of a present-day video event recognition framework. Pooling the insights gained from this study leads to a speeded-up event recognition system that is 220-times faster than a decent baseline while still has a high degree of recognition accuracy. We also demonstrate the technical feasibility of using event recognition results as the sole clue for video search, where the similarity of videos is determined based on the consistency of the event recognition confidence scores. We showcase this capability using an Internet video dataset containing about 10 thousands of YouTube videos. Very promising results were observed.
Regret Theory: An alternative theory of rational choice under uncertainty Review of Economic Studies

The main body of current economic analysis of choice under uncertainty is built upon a small number of basic axioms, formulated in slightly different ways by von Neumann and Morgenstern (I 947), Savage (1 954) and others. These axioms are widely believed to represent the essence of rational behaviour under uncertainty. However, it is well known that many people behave in ways that systematically violate these axioms. ' We shall initially focus upon a paper by Kahneman and Tversky (I 979) which presents extensive evidence of such behaviour. Kahneman and Tversky offer a theory, which they call 'prospect theory ', to explain their observations. We shall offer an alternative theory which is much simpler than prospect theory and which, we believe, has greater appeal to intuition. The following notation will be used throughout. The ith prospect is written as Xi. If it offers increments or decrements of wealth xl, . , x. with probabilities Pi, . Pn (where p, + . +pn = I) it may be denoted as (xi,pi; . .; XwPn). Null consequences are omitted so that the prospect (x,p; o, I -p) is written simply as (x,p). Complex prospects, i.e. those which offer other prospects as consequences, may be denoted as (Xi,pi; .; Xn,pn). We shall use the conventional notation >, > and to represent the relations of strict preference, weak preference and indifference. We shall take it that for all prospects Xi and Xk, Xi > Xk or Xi is transitive.