Miracle-dz/UniFAR-FTUs huggingface dataset:
NoiseMap - Real-time participatory noise maps

Noise pollution is a problem increasingly acknowledged by authorities and governments around the globe. However, creating noise maps with conventional methods is either inaccurate or very expensive. To increase the spatial and temporal data resolution a high number of sensors must be deployed. In this paper we present results and prototypes based on participatory sensing leading to accurate, real-time noise maps. First we present NoiseMap a application currently released for Android phones. NoiseMap gathers data on loudness and transfers it to the open urban sensing platform da sense. da sense allows users to access and control their data, generate real-time noise maps and data graphs. Public data is made available using either a web service or a JavaScript API.
Study on Structures and Dielectric Properties of (LixNb1−x)0.25Ti0.75O2 based on Molecular Simulation

Microwave dielectric ceramics are widely used in microwave communication, because of their favorable dielectric properties. Many experimental researches for the new ceramic materials (LixNb1−x)0.25Ti0. 75O2(LNT, x=0.2, 0.4, 0.6) have been carried out. However, few of computer simulations have been implemented, due to their complex structures of a solid solution. In this present, molecular simulation was applied to research on structures and dielectric properties. The supercell structures of the LNT were built by experimental X-ray diffraction spectra and optimized by using density functional theory, to solve the complex structure problem of the solid solution. Based on the optimized supercells, the band structures and optical permittivity were also calculated. Infrared spectrum was computed using density functional perturbation theory to obtain the dielectric constant. The simulation results are corresponded well with experiments. Optimized structures show that the substitution of lithium and niobium for titanium in rutile causes lattice distortion. The results of infrared spectrum reveal that dielectric constant decreases if value of x is increased.
Comparison of Drug‐Eluting and Bare Metal Stents in Patients With Chronic Kidney Disease: An Updated Systematic Review and Meta‐Analysis

Background Drug‐eluting stents (DESs) and bare metal stents (BMSs) are both recommended to improve coronary revascularization and to treat coronary artery disease in patients with chronic kidney disease (CKD). However, the potential superiority of DESs over BMSs for reducing the incidence of long‐term major adverse cardiovascular events and mortality in CKD patients has not been established, and the results remain controversial. We aimed to systematically assess and quantify the total weight of evidence regarding the use of DESs versus BMSs in CKD patients. Methods and Results In this systematic review and conventional meta‐analysis, electronic studies published in any language until May 20, 2016, were systematically searched through PubMed, Embase, Web of Science, and the Cochrane Central Register of Controlled Trials. We included randomized controlled trials and observational studies comparing outcomes in CKD patients with DESs versus BMSs and extracted data in a standard form. Pooled odd ratios and 95% CIs were calculated using random‐ and fixed‐effects models. Finally, 38 studies involving 123 396 patients were included. The use of DESs versus BMSs was associated with significant reductions in major adverse cardiovascular events (pooled odds ratio 0.75; 95% CI, 0.64–0.88; P<0.001), all‐cause mortality (odds ratio 0.81; 95% CI, 0.73–0.90; P<0.001), myocardial infarction, target‐lesion revascularization, and target‐vessel revascularization. The superiority of DESs over BMSs for improving clinical outcomes was attenuated in randomized controlled trials. Conclusions The use of DESs significantly improves the above outcomes in CKD patients. Nevertheless, large‐sized randomized controlled trials are necessary to determine the real effect on CKD patients and whether efficacy differs by type of DES.
Wavelets polynomials and associated zeros locations

There are conditions imposed on the coefficients of filters and therefore on the roots of the binomial polynomials associated with the construction of Daubechies Wavelets. In this paper, a particular class of polynomials is derived from such construction. It bears as coefficients the ratios of those of the binomial polynomials. Limits for the roots of this family of polynomials are derived and the conditions for obtaining optimum radius are identified along with some illustrations.
Vector-based siRNA delivery strategies for high-throughput screening of novel target genes

Application of siRNA in high-throughput fashion is still in its early phase although the principle has been established for three years. In this review, we outline the different vector-based siRNA delivery platforms as well as resources that are becoming available for high-throughput applications, and some initial outcomes of vector siRNA high-throughput screening efforts using vector encoded siRNA. It is expected that further improvement of the siRNA technology and availability of the siRNA resources will help to materialize the potential of siRNA for functional genomics and drug target validation.
PERFORMANCE ENHANCEMENT OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING FUZZY LOGIC

DTC is strategy of selecting proper stator voltage vectors to reduce torque error and flux error. DTC uses hysteresis band controller whose control action has no difference between large torque error and small one. This results in high torque ripple. In order to reduce the torque ripple and to improve the performance of DTC, DTC based on Fuzzy Logic is proposed in this paper. The simulations are carried out using MATLAB and comparison is made between conventional DTC and DTC using Fuzzy Logic and simulated results are shown.
Numerical Investigation of Rectangular Dielectric Resonator Antennas (DRAs) Fed by Dielectric Image Line (DIL)

In this paper Rectangular Dielectric Resonator Antennas (RDRA) fed by Dielectric Image Line (DIL) which is excited through a narrow slot on the ground plane is numerically investigated. The antenna structure is studied based on the Finite Element Method (FEM) using High Frequency Structure Simulation (HFSS) package. The efiects of the slot size are considered on the radiation performance of the antenna. Results show that the optimum length and width of the slot, for 7dB gain at 10GHz, are 3.7mm and 0.144mm respectively. The return loss and radiation patterns of the antenna are also provided for a speciflc DRA.
Reproductive suppression in female cooperatively breeding cichlids

Suppression by dominants of female subordinate reproduction has been found in many vertebrate social groups, but has rarely been shown experimentally. Here experimental evidence is provided for reproductive suppression in the group-living Lake Tanganyika cichlid Neolamprologus pulcher. Within groups of three unrelated females, suppression was due to medium- and small-sized females laying less frequently compared with large females, and compared with medium females in control pairs. Clutch size and average egg mass of all females depended on body size, but not on rank. In a second step, a large female was removed from the group and a very small female was added to keep the group size constant. The medium females immediately seized the dominant breeding position in the group and started to reproduce as frequently as control pairs, whereas clutch size and egg mass did not change. These results show that female subordinate cichlids are reproductively capable, but apparently suppressed with respect to egg laying. Nevertheless, some reproduction is tolerated, possibly to ensure continued alloparental care by subordinate females.
Mapping conceptual features to referential properties

We report on initial work on bridging the conceptto-reference gap using distributional semantics. Specifically, we aim at predicting properties of countries, using distributional vectors to infer database information. Our results are highly encouraging, since we achieve an error reduction of 30% over the baseline and are not far from the upper bound.
On the performances of computer vision algorithms on mobile platforms

Computer Vision enables mobile devices to extract the meaning of the observed scene from the information acquired with the onboard sensor cameras. Nowadays, there is a growing interest in Computer Vision algorithms able to work on mobile platform (e.g., phone camera, point-and-shot-camera, etc.). Indeed, bringing Computer Vision capabilities on mobile devices open new opportunities in different application contexts. The implementation of vision algorithms on mobile devices is still a challenging task since these devices have poor image sensors and optics as well as limited processing power. In this paper we have considered different algorithms covering classic Computer Vision tasks: keypoint extraction, face detection, image segmentation. Several tests have been done to compare the performances of the involved mobile platforms: Nokia N900, LG Optimus One, Samsung Galaxy SII.
Throughput-Buffering Trade-Off Exploration for Cyclo-Static and Synchronous Dataflow Graphs

Multimedia applications usually have throughput constraints. An implementation must meet these constraints, while it minimizes resource usage and energy consumption. The compute intensive kernels of these applications are often specified as cyclo-static or synchronous dataflow graphs. Communication between nodes in these graphs requires storage space which influences throughput. We present an exact technique to chart the Pareto space of throughput and storage trade-offs, which can be used to determine the minimal buffer space needed to execute a graph under a given throughput constraint. The feasibility of the exact technique is demonstrated with experiments on a set of realistic DSP and multimedia applications. To increase scalability of the approach, a fast approximation technique is developed that guarantees both throughput and a, tight, bound on the maximal overestimation of buffer requirements. The approximation technique allows to trade off worst-case overestimation versus run-time.
Sperm segregation analysis of a (13;22) Robertsonian translocation carrier by FISH: a comparison of locus-specific probe and whole chromosome painting.

BACKGROUND The t(13;22) Robertsonian translocation constitutes a rare form of rearrangement between acrocentric human chromosomes. Most of the meiotic segregation studies of human Robertsonian translocations have been performed on common t(13;14) and t(14;21) translocations. Analysis of the chromosomal constitution in sperm of Robertsonian translocation carriers is of great interest for assessing the risk of unbalanced forms and adapting genetic counselling. In the present study, we present the first meiotic segregation study of a t(13;22) Robertsonian translocation in human sperm. METHODS A total of 11 787 sperm nuclei were scored using two distinct FISH labelling techniques, i.e. the locus-specific probes (LSI) method and the whole chromosome painting (WCP) technique. RESULTS The frequency of normal or balanced sperm resulting from alternate meiotic segregation was 86%. Incidences of unbalanced complements resulting from adjacent segregation modes were 12.79% and 14.36% in LSI and WCP assays, respectively. No significant excess of nullisomy or disomy for the affected chromosomes was observed. CONCLUSIONS Similar results in segregation were obtained with the two techniques, demonstrating the efficiency of the two strategies for the direct segregation analysis of Roberstsonian translocations. The results obtained indicated a moderate meiotic production of imbalance. This study shows that the rare Robertsonian translocation (13;22) displays a similar distribution of balanced and unbalanced sperm patterns as the common Robertsonian translocations previously studied. This suggests that the behaviour of acrocentric chromosomes was similar in all cases of centric fusion.
Kinect-based gait analysis for automatic frailty syndrome assessment

Smart living and well aging represent key challenges for our society. The precursor state of adverse outcomes that characterize aging has been recognized from scientific community with the frailty syndrome, determined by the loss of physical and psychological capacities. In this paper we define gait and posture indexes that can be effectively and unobtrusively measured using computer vision and RGBD sensors, e.g. the popular MS Kinect. In this study we present preliminary results showing evidence that the proposed approach can pave the way to the design of an automatic and objective tool for detection and early prevention of frailty.
Cities and Growth: In Situ Versus Migratory Human Capital Growth

University degree holders in large cities are more prevalent and are growing at a more rapid pace than in smaller cities and rural areas. This relatively high rate of growth stems from net migratory flows and/or higher rates of degree attainment in cities. Using data from the 1996 and 2001 Censuses, this paper tests the relative importance of these two sources of human capital growth by decomposing degree-holder growth across cities into net migratory flows (domestic and foreign) and in situ growth: that is, growth resulting from higher rates of degree attainment among the resident populations of cities. We find that both sources are important, with in situ growth being the more dominant force. Hence, it is less the ability of cities to attract human capital than their ability to generate it that underlies the high rates of degree attainment we observe across city populations.
An Explorative Analysis for the Role of Serum miR-10b-3p Levels in Predicting Response to Sorafenib in Patients with Advanced Hepatocellular Carcinoma

The prognostic role of aberrant serum miRNA expression for predicting response to sorafenib treatment in advanced hepatocellular carcinoma (HCC) patients has not been well characterized. We aimed to identify specific serum miRNAs that are associated with positive radiologic responses or improved survival in sorafenib-treated HCC patients. miR-18a, miR-21, miR-139-5p, miR-221, miR-224, and miR-10b-3p, were selected for analysis. Serum samples from 24 patients with advanced stage HCC and 25 patients with liver cirrhosis (LC) were analyzed. All of the miRNAs except miR-21 were found to be upregulated in serum samples from HCC patients. None of the miRNAs assayed differed significantly in terms of expression between the responder and non-responder groups among HCC patients. However, miR-10b-3p levels were significantly higher in the subgroup of HCC patients with worse overall survival (fold change = 5.8, P = 0.008). Serum miRNA-10b-3p was upregulated in the presence of macrovascular invasion (MVI), and those with higher serum miRNA-10b-3p had significantly shorter survival during treatment (P = 0.042). Although no single serum miRNA was predictive of response to sorafenib treatment, analysis of serum miR-10b-3p levels may be valuable for diagnosis of HCC and prediction of survival of sorafenib-treated patients.
Maximum-SNR transmit antenna selection with unimodular beamforming and two receive antennas

The recent increased interest in massive multiple-input multiple-output systems, combined with the cost of the analog RF chains, necessitates the use of efficient antenna selection (AS) schemes. Capacity or SNR optimal AS has been considered to require an exhaustive search among all possible antenna subsets. In this work, we identify in polynomial time a polynomial-size collection of antenna subsets that contains the one that maximizes the post-processing receiver SNR when two receive and an arbitrary number of selected transmit antennas are employed.
Voronoi diagram in statistical parametric space by Kullback-Leibler divergence

Voronoi diagram has been a main theme in computational geometry, and the theory of generalized Voronoi diagrams for various applications in robotics, VLSI CAD, etc., has been developed in terms of arrangements, Davenport-Schinzel sequences and lower envelopes. In this paper, we propose a new direction of research towards introducing discrete proximity structures in statistical parametric spaces by Voronoi diagrams defined by statistically meaningful distance, partially based on information geometry (Amari [1]), and the Voronoi diagram in the upper half space is constructed for canonical normal distributions by revealing its relation with the Euclidean Voronoi diagram. This paper investigates the statistical parametric space of normal distributions by adopting the Kullback-Leibler divergence as a distance to generate the Voronoi diagram. The KullbackLeibler divergence is the most fundamental divergence in information theory (e.g., see [3, 5]), and similarity of the diagram obtained from this divergence with that in [6, 7] is shown. Due to relative simplicity, the Kullback-Leibler divergence allows us to compute the Voronoi diagram for general normal distribution. Linearization technique as well as lower envelope arguments is fully made use of in deriving bounds of this paper. Voronoi diagrams for other divergences in the statistical parametric space of probability distribution of a discrete variable taking d values are also touched upon.
Estimating the Capacity of Visual Short-Term Memory: A Transcranial Doppler Sonography Study

Estimates of the capacity of visuospatial short-term memory (VSTM) have ranged from less than 1 item to 4 +/-1 items. The purpose of the present study was to find the capacity of VSTM by looking at the contribution of the other working memory systems (phonological loop and central executive) and determine the factor that limits VSTM capacity (either number of objects or object complexity). In this study, the psychophysiological measure of cerebral blood flow velocity also was incorporated to determine whether changes in cerebral blood flow velocity were indicative of VSTM performance and capacity. Both performance measures and cerebral blood flow velocity indicate that capacity for random polygons is approximately one object. Complexity of the objects affected capacity, such that simple objects had higher capacities and lower cerebral blood flow velocity than complex objects. Other working memory systems were not found to have an effect on performance.
Improved Locally Adaptive Sampling Criterion for Topology Preserving Reconstruction of Multiple Regions

Volume based digitization processes often deal with non-manifold shapes. Even though many reconstruction algorithms have been proposed for non-manifold surfaces, they usually don’t preserve topological properties. Only recently, methods were presented which—given a finite set of surface sample points—result in a mesh representation of the original boundary preserving all or certain neighbourhood relations, even if the sampling is sparse and highly noise corrupted. We show that the required sampling conditions of the algorithm called “refinement reduction” limit the guaranteed correctness of the outcome to a small class of shapes. We define new locally adaptive sampling conditions that depend on our new pruned medial axis and finally prove without any restriction on shapes that under these new conditions, the result of “refinement reduction” corresponds to a superset of a topologically equivalent mesh.
IT Project risk assessment with GCPSO-based artificial neural network

The IT projects risk assessment is a focus problem of the practice and theories research of IT project management. In this paper, a set of index system of IT project risk assessment is established. Based on the index system, an integration classifier with GCPSO-based artificial neural network is established to assess IT projects risk in project management. At last, an experiment is given and BP neural network is also used to compare with the GCPSO-based ANN with the same data. The experimental results show that integration classifier with GCPSO-based artificial neural network is effective in risk assessment and achieves better performance than BP neural network.
An Effective Method for Detecting Double JPEG Compression With the Same Quantization Matrix

Detection of double JPEG compression plays an important role in digital image forensics. Some successful approaches have been proposed to detect double JPEG compression when the primary and secondary compressions have different quantization matrices. However, detecting double JPEG compression with the same quantization matrix is still a challenging problem. In this paper, an effective error-based statistical feature extraction scheme is presented to solve this problem. First, a given JPEG file is decompressed to form a reconstructed image. An error image is obtained by computing the differences between the inverse discrete cosine transform coefficients and pixel values in the reconstructed image. Two classes of blocks in the error image, namely, rounding error block and truncation error block, are analyzed. Then, a set of features is proposed to characterize the statistical differences of the error blocks between single and double JPEG compressions. Finally, the support vector machine classifier is employed to identify whether a given JPEG image is doubly compressed or not. Experimental results on three image databases with various quality factors have demonstrated that the proposed method can significantly outperform the state-of-the-art method.
Fusion of Physical Extraction Parameter Model Optical and SAR Data for Flood Detection

The limitations of classification results, interpretation, and detection of the optical data can be helped by using Synthetic Aperture Radar (SAR) data, in order to obtain a sama area with actual conditions. The combination/fusion is an effort to combine information from a number of sources to produce a single data entity in the form of specific and kompehensif. Image representation with modes fusion will improve different multi-sensory than conventional. In fusion performed 4 (four) steps of modeling, estimation, combination and decision-making. Modeling the physical parameter extraction resulted from optical and SAR data for flood detection to do with pixels, features, and decisions. The cost of using SAR imagery is a problem but, this may be compensation to get the good quality and low cost when compared with the survey directly. The finding that variable texture image provide valuable quantitative information to support and differentiate water bodies of other types of land cover classes.
The rise of the accounting profession

Inevitably, reading is one of the requirements to be undergone. To improve the performance and quality, someone needs to have something new every day. It will suggest you to have more inspirations, then. However, the needs of inspirations will make you searching for some sources. Even from the other people experience, internet, and many books. Books and internet are the recommended media to help you improving your quality and performance.