Miracle-dz/UniFAR-FTUs huggingface dataset:
Journal of Solid Mechanics Vol

Besides experimental methods, numerical simulations bring benefits and great opportunities to characterize and predict mechanical behaviors of materials especially at nanoscale. In this study, a nano-single crystal aluminum (Al) as a typical face centered cubic (FCC) metal was modeled based on molecular dynamics (MD) method and by applying tensile and compressive strain loadings its mechanical behaviors were investigated. Embedded atom method (EAM) was employed to represent the interatomic potential of the system described by a canonical ensemble. Stress-strain curves and mechanical properties including modulus of elasticity, Poisson’s ratio, and yield strength were determined. Furthermore, the effects of strain rate and system temperature on mechanical behavior were obtained. It was found that the mechanical properties exhibited a considerable dependency to temperature, but they hardly changed with increase of strain rate. Moreover, nucleation and propagation of dislocations along the plane of maximum shearing stress were the mechanisms of the nanocrystalline Al plastic deformation. © 2017 IAU, Arak Branch.All rights reserved.
Sensor Deployment for Distributed Estimation in Heterogeneous Wireless Sensor Networks

This paper deals with sensor deployment problem for distributed estimation of unknown signals in heterogeneous wireless sensor networks (HWSNs). We consider a network including two types of sensors with different computational processing abilities: type-I sensors with more powerful ability than type-II sensors. Based on this computational heterogeneity, we present an estimator model for distributed sensor fusion in HWSNs and propose a sensor deployment scheme supporting the proposed distributed estimation. It is discovered that the network topology is closely related to the properties of the estimation algorithm. To satisfy the performance of the estimation algorithm, two sensor deployment algorithms are given. The first is concerned with the connectivity of network topology and the second illustrates a greedy approach to further optimize the network topology and the parameters of the estimators. Simulation results are provided to demonstrate the performance and effectiveness of the proposed estimators and sensor deployment algorithms for distributed estimation in HWSNs.
Measuring fatigue among women with Sjögren's syndrome or rheumatoid arthritis: a comparison of the Profile of Fatigue (ProF) and the Multidimensional Fatigue Inventory (MFI).

BACKGROUND Fatigue is common in both Sjögren's syndrome (SS) and rheumatoid arthritis (RA) and can restrict functioning. AIMS We tested the convergent validity of the Profile of Fatigue (ProF) using the Multidimensional Fatigue Inventory (MFI) in SS and RA. METHODS The 16-item ProF and the 20-item MFI were completed by 82 White-British women aged 35-79 years (mean 60.4 years). Thirty-four had been diagnosed with SS for a mean of 7.0 years and 48 had been diagnosed with RA for a mean of 14.5 years. The ProF measures four somatic facets of fatigue and two mental facets; the MFI contains one mental and four somatic facets. The structures of the items from both measures were tested by principal component factor analysis using varimax rotation. RESULTS No significant differences in fatigue were found between the women with SS or RA. Five factors explained a total of 76% of the variance of the MFI; six factors explained 94% of the variance of the ProF. Mental fatigue items from both questionnaires loaded onto separate factors from somatic fatigue items; the two original facets of mental fatigue in the ProF were replicated. The four somatic fatigue facets of the ProF were generally replicated but the somatic facets of the MFI did not replicate as clearly. Equivalent facets correlated well between the two questionnaires (r >or= 0.65). CONCLUSIONS Both the ProF and the MFI distinguish between somatic and mental fatigue in SS and RA but the ProF appears better at resolving somatic facets of fatigue.
Fast reconstruction of low dose proton CT by sinogram interpolation

Proton computed tomography (CT) has been demonstrated as a promising image modality in particle therapy planning. It can reduce errors in particle range calculations and consequently improve dose calculations. Obtaining a high imaging resolution has traditionally required computationally expensive iterative reconstruction techniques to account for the multiple scattering of the protons. Recently, techniques for direct reconstruction have been developed, but these require a higher imaging dose than the iterative methods. No previous work has compared the image quality of the direct and the iterative methods. In this article, we extend the methodology for direct reconstruction to be applicable for low imaging doses and compare the obtained results with three state-of-the-art iterative algorithms. We find that the direct method yields comparable resolution and image quality to the iterative methods, even at 1 mSv dose levels, while yielding a twentyfold speedup in reconstruction time over previously published iterative algorithms.
Effect of Microalloying Elements on the Heat Treatment Response and Tensile Properties of Al-Si-Mg Alloys

This study was carried out on a series of heat-treatable Al-Si-Mg alloys to determine the effects of Fe, Mg, Sr and Be addition on their microstructural characteristics and tensile properties. The results showed that the eutectic temperature was reduced by 10°C with 0.8 wt% Mg addition. The solidification curves and first derivatives of Sr-free alloys with high Fe and Mg contents revealed a peak at 611°C consequent to the formation of a script- like Be-Fe (Al8Fe2BeSi) phase, which was very close to the peak for α-Al. The morphol ogy of the β-iron platelets underwent changes due to their dissolution, thinning, necking, and fragmentation with increase in solutionizing time. Increased Mg contents are beneficial to the tensile properties unlike the detrimental effect of increasing Fe contents. Additions of Be and Sr noticeably improved the properties at the same Fe and/or Mg contents, the enhancements being markedly observed at higher Mg contents and reduced Fe levels. At high Fe levels, addition of Be is preferable as it neutralizes the deleterious effects of Fe in these alloys; however, addition of 500 ppm Be is inadequate for interacting with other alloying elements.
A NAC Domain Protein Interacts with Tomato leaf curl virus Replication Accessory Protein and Enhances Viral Replication

Geminivirus replication enhancer (REn) proteins dramatically increase the accumulation of viral DNA species by an unknown mechanism. In this study, we present evidence implicating SlNAC1, a new member of the NAC domain protein family from tomato (Solanum lycopersicum), in Tomato leaf curl virus (TLCV) REn function. We isolated SlNAC1 using yeast (Saccharomyces cerevisiae) two-hybrid technology and TLCV REn as bait, and confirmed the interaction between these proteins in vitro. TLCV induces SlNAC1 expression specifically in infected cells, and this upregulation requires REn. In a transient TLCV replication system, overexpression of SlNAC1 resulted in a substantial increase in viral DNA accumulation. SlNAC1 colocalized with REn to the nucleus and activated transcription of a reporter gene in yeast, suggesting that in healthy cells it functions as a transcription factor. Together, these results imply that SlNAC1 plays an important role in the process by which REn enhances TLCV replication.
The Role of Emotions and Trust in Service Recovery in Business-to-Consumer Electronic Commerce

This study proposes a service recovery model to describe how cumulative satisfaction, loyalty and word-of-mouth are affected by complaints. The model is based on the role of positive and negative emotions in satisfaction with service recovery processes, with trust acting as a mediator of the relationship between satisfaction with service recovery and cumulative satisfaction, and between positive and negative emotions, satisfaction with service recovery and loyalty. The sample for this study consists of 303 business-to-consumer e-commerce users who made a complaint after an electronic transaction. The results show that positive emotions are a key factor in satisfaction with service recovery processes; this is in contrast to the major role that negative emotions have traditionally played in these models. Furthermore, trust mediates the relationship between satisfaction with service recovery and cumulative satisfaction, and between positive emotions and loyalty. Trust has an important influence on loyalty, and cumulative satisfaction is a strong predictor of word-of-mouth. While prior satisfaction with service recovery studies usually investigated only negative emotions and satisfaction with a specific transaction, this research considers both positive and negative emotions, as well as the mediating effect of trust on the relationship between satisfaction with a specific transaction and cumulative satisfaction.
Comparison of insulin lispro mixture 25/75 with insulin glargine during a 24‐h standardized test‐meal period in patients with Type 2 diabetes

Aims To compare insulin lispro mixture (25% insulin lispro and 75% NPL; Mix 25/75) twice‐daily plus oral glucose‐lowering medications (metformin and/or sulphonylurea) with once‐daily insulin glargine plus oral agents with respect to postprandial glycaemic control and other glucose and lipid parameters in patients with Type 2 diabetes inadequately controlled with insulin and/or oral glucose‐lowering agents.
Interest Assortativity in Twitter

Assortativity is the preference for a person to relate to others who are someway similar. This property has been widely studied in real-life social networks in the past and, more recently, great attention is devoted to study various forms of assortativity also in online social networks, being aware that it does not suffice to apply past scientific results obtained in the domain of real-life social networks. One of the aspects not yet analyzed in online social networks is interest assortativity, that is the preference for people to share the same interest (e.g., sport, music) with their friends. In this paper, we study this form of assortativity on Twitter, one of the most popular online social networks. After the introduction of the background theoretical model, we analyze Twitter, discovering that users clearly show interest assortativity. Beside the theoretical assessment, our result leads to identify a number of interesting possible applications.
THE PROTECTIVE STATUS OF SUBTOTAL OBLITERATION OF ARTERIOVENOUS MALFORMATIONS AFTER RADIOSURGERY: SIGNIFICANCE AND RISK OF HEMORRHAGE

OBJECTIVEArteriovenous malformations (AVMs) treated by radiosurgery with complete obliteration of the nidus but a persisting early draining vein on follow-up angiography can be termed subtotally obliterated. However, these are persistent circulating AVMs. The significance of these lesions, their hemorrhage rate, and their management are analyzed. METHODSIn a series of 862 consecutive patients with AVMs treated by radiosurgery, 121 patients (14%) achieved subtotal obliteration (STO). The angiographic evolution and rate of obliteration were studied. The pretreatment angiographic features, dosimetric parameters, and postradiosurgery hemorrhage rate were compared with those in the rest of the treated population. Finally, the options for follow-up and treatment were analyzed. RESULTSOf 121 subtotally obliterated AVMs, the bleeding rate was 0%; 53% of patients achieved complete obliteration. This occurred in 71% of those who had STO at 1 year. In the cases in which STO was detected at 2, 3, and 4 years, total obliteration eventually occurred in 43%, 28.5%, and 0%, respectively. Comparative analysis with AVMs in which a part of the nidus persisted showed a significant difference in the bleeding rate. Except for volume, no significant statistical difference in angiographic and dosimetric parameters was found between the STO group and the rest of the studied population with residual nidus. Six cases received further treatment, resulting in 2 cures and 2 treatment-related complications. CONCLUSIONSubtotally obliterated AVMs are different from other partially obliterated AVMs, with a 0% bleeding rate. Their complete obliteration is a function of delay of appearance on follow-up angiography. Invasive follow-up and further treatment of these AVMs do not seem warranted.
Temperature-dependent electrical transport characteristics of p-SnS/n-WO3:Sb heterojunction diode

The p-SnS/n-WO3:Sb heterojunction diode was successfully obtained by thermal evaporating SnS thin films on WO3 doped with 2.0 mol% Sb2O3 of 1 mm thick ceramic pellet substrate. The electrical properties of p-SnS/n-WO3:Sb heterojunction were investigated by forward current–voltage–temperature (I–V–T) characteristics in the temperature range of 20-300 K. It was found that at low forward bias voltage (<0.25V), the conduction mechanism of the diode exhibits Ohmic conduction. At intermediate voltage (0.25<V<1.0V), the conduction mechanism is dominated by thermionic emission (TE). At bias voltage above 1.0 V, the current transport is due to space charge limited current (SCLC) controlled by an exponential trap distribution in the band gap of WO3:Sb. The temperature dependence of the saturation current and ideality factor are well described by tunneling enhanced recombination model occurring at junction interface with Ea and E00 values about 1.565 eV and 99.5 meV, respectively.
Detecting Volatility Shift in Data Streams

Current drift detection techniques detect a change in distribution within a stream. However, there are no current techniques that analyze the change in the rate of these detected changes. We coin the term stream volatility, to describe the rate of changes in a stream. A stream has a high volatility if changes are detected frequently and has a low volatility if changes are detected infrequently. We are particularly interested in a volatility shift which is a change in the rate of change (e.g. From high volatility to low volatility). We introduce and define the concept of stream volatility, and propose a novel technique to detect volatility on data streams in the presence of concept drifts. In the experiments we show our algorithm to be both fast and efficient. We also propose a new algorithm for drift detection called SEED that is faster and more memory efficient than the existing state-of-the-art drift detection approach. A faster drift detection algorithm has a flow-on benefit to the subsequent volatility detection stage because both algorithms run concurrently on the data stream.
Controller Design and Load Frequency Control for Single Area Power System with Model Order Reduction Technique

The performance of power systems gets worsening due to the presence of sudden load changes, uncertainties of parameters etc. Therefore the design of load frequency control is very important in the modern power systems. This paper presents LFC control technique to reject the typical disturbance as well as control the large-scale system problems. Parameter uncertainty and load disturbance approach has been proposed to LFC design on the purpose of rejection of typical disturbances. This paper presents the model order reduction technique of Transfer function of the single area power system by using Routh approximation. The Second-order reduced system model has proposed instead of full order system to effectively improve the performance of the closed loop system. This entire approach is simulated in MATLAB environment for a single –area power system. In addition to this the reduced order power system is converted into digital domain for digital implementation of load frequency controller. Index Terms—Internal model control (IMC), load frequency control (LFC), model-order reduction, robustness, Digital domain.
The SSAHA trace server

We present a client/server database system with the potential to make all DNA sequences searchable. The database estimated to be approximately 200 Gbps, contains various types of sequences, including WGS and clone reads, draft assemblies, finished sequences, refSeq etc. The search engine will be SSAHA2, a package combined SSAHA (sequence search and alignment by hashing algorithm) with cross/spl I.bar/match. Matching seeds of a few kmer words are detected by the SSAHA algorithm. Both query and subject sequences are cut off according to the locations of the matching seeds and then passed to cross/spl I.bar/match for full alignment. We aim to develop a platform-independent client/server system which can provide a near real-time (under 10 seconds) search service for a clustered database.
A GENOME-WIDE SCAN FOR LOCI PREDISPOSING TO NON-SYNDROMIC CLEFT LIP WITH OR WITHOUT CLEFT PALATE IN A HONDURAN POPULATION Investigator

Cleft lip with or without cleft palate (CL/P) and isolated cleft palate (CPI) are some of the most common congenital malformations, occurring in roughly 1.5-2 per 1,000 Caucasian births, with higher prevalence rates in Hispanic, Asian, and Native American populations (up to 1/500), and lower rates in African populations (1/2,000). Clefting abnormalities are associated with increased morbidity and mortality in infancy, childhood, and adulthood. Infants have increased risk of death secondary to prematurity, pneumonia, aspiration and sepsis, and adults have been shown to have increased risk of cardiac disease, suicide, epilepsy, and some cancers.
Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects

This paper focuses on the problem of tracking people through occlusions by scene objects. Rather than relying on models of the scene to predict when occlusions will occur as other researchers have done, this paper proposes a linear dynamic system that switches between two alternatives of the position measurement in order to handle occlusions as they occur. The filter automatically switches between a foot-based measure of position (assuming z = 0) to a head-based position measure (given the person's height) when an occlusion of the person's lower body occurs. No knowledge of the scene or its occluding objects is used. Unlike similar research (Fleuret et al., 2005; Zhao and Nevatia, 2004), the approach does not assume a fixed height for people and so is able to track humans through occlusions even when they change height during the occlusion. The approach is evaluated on three furnished scenes containing tables, chairs, desks and partitions. Occlusions range from occlusions of legs, occlusions whilst being seated and near-total occlusions where only the person's head is visible. Results show that the approach provides a significant reduction in false-positive tracks in a multi-camera environment, and more than halves the number of lost tracks in single monocular camera views
Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory system (HMS). As a result, data objects of the application must be carefully placed to NVM and DRAM for best performance. In this paper, we introduce a lightweight runtime solution that automatically and transparently manage data placement on HMS without the requirement of hardware modifications and disruptive change to applications. Leveraging online profiling and performance models, the runtime characterizes memory access patterns associated with data objects, and minimizes unnecessary data movement. Our runtime solution effectively bridges the performance gap between NVM and DRAM. We demonstrate that using NVM to replace the majority of DRAM can be a feasible solution for future HPC systems with the assistance of a software-based data management.
Changing patterns in the management of splenic trauma: the impact of nonoperative management.

OBJECTIVE The recognition that splenectomy renders patients susceptible to lifelong risks of septic complications has led to routine attempts at splenic conservation after trauma. In 1990, the authors reported that over an 11-year study period involving 193 patients, splenorrhaphy was the most common splenic salvage method (66% overall) noted, with nonoperative management employed in only 13% of blunt splenic injuries. This report describes changing patterns of therapy in 190 consecutive patients with splenic injuries seen during a subsequent 6-year period (1990 to 1996). An algorithmic approach for patient management and pitfalls to be avoided to ensure safe nonoperative management are detailed. METHODS Nonoperative management criteria included hemodynamic stability and computed tomographic examination without shattered spleen or other injuries requiring celiotomy. RESULTS Of 190 consecutive patients, 102 (54%) were managed nonoperatively: 96 (65%) of 147 patients with blunt splenic injuries, which included 15 patients with intrinsic splenic pathology, and 6 hemodynamically stable patients with isolated stab wounds (24% of all splenic stab wounds). Fifty-six patients underwent splenectomy (29%) and 32 splenorrhaphy (17%). The mean transfusion requirement was 6 units for splenectomy survivors and 0.8 units for nonoperative therapy (85% received no transfusions). Fifteen of the 16 major infectious complications that occurred followed splenectomy. Two patients failed nonoperative therapy (2%) and underwent splenectomy, and one patient required splenectomy after partial splenic resection. There no missed enteric injuries in patients managed nonoperatively. The overall mortality rate was 5.2%, with no deaths following nonoperative management. CONCLUSIONS Nonoperative management of blunt splenic injuries has replaced splenorrhaphy as the most common method of splenic conservation. The criteria have been extended to include patients previously excluded from this form of therapy. As a result, 65% of all blunt splenic injuries and select stab wounds can be managed with minimal transfusions, morbidity, or mortality, with a success rate of 98%. Splenectomy, when necessary, continues to be associated with excessive transfusion and an inordinately high postoperative sepsis rate.
Local Feedback Dissipativity through Energy Invariance and Feedback Losslessness Properties in Nonlinear Discrete-time Systems

Sufficient conditions under which a class of nonlinear discrete-time systems which are non-affine in the control input and the states can be rendered locally dissipative are derived. Two methodologies in order to render nonlinear single-input single-output discrete-time systems locally dissipative are given. Dissipativity is seen as a “perturbation” of the storage energy invariance or the feedback losslessness situations, in the sense that the control which makes the system dissipative is based on the control that makes the storage energy function V invariant or on the control that renders the system lossless. An example is used in order to illustrate the feedback dissipativity methodologies.
Application based on fast online MPC in power inverter system

Adopting MPC to a fast changing system has always been a challenging problem due to the computational efficiency. As the equivalent aggregation strategy and the fast algorithm based on MPC proposed, the computational efficiency has been promoted greatly. This paper improves the fast algorithm combined with the equivalent aggregation strategy, and investigates the feasibility of adopting the fast algorithm based on MPC to DC-AC power inverter system which switching time is 52 μs. Simulation and the experiment have verified that the fast online MPC algorithm applied on the fast sampling system with embedded platform implementation works well.