Miracle-dz/UniFAR-FTUs huggingface dataset:
A GENERALIZED URN MODEL IN CLINICAL TRIALS

Urn models are very popular and useful for adaptive designs in clinical studies. Among various urn models, the drop-the-loser rule is an efficient adaptive treatment allocation scheme, recently proposed for comparing different treatments in clinical trials. This rule is superior to other randomization schemes in terms of variability and power. In this paper, the drop-the-loser rule is generalized to cope with more popular and practical circumstances including (1) delayed responses when test results cannot be obtained immediately, (2) continuous responses, and (3) a pre-specified target of allocation proportion. In addition, our proposed procedure has several favorable asymptotic properties such as strong consistency and asymptotic normality of the allocation proportion. When the outcomes are dichotomous with identical average allocation proportions as the Wei and Durham (1978), the variabilities of our treatment assignment rule are asymptotic minimum and the rule tends to assign more patients to the better treatment.
Dense flow field algorithm using binary descriptor and modified energy function

In this paper, we describe a Dense Flow-Field algorithm for moving detection of an object using a binary descriptor and a modified energy function. Among the moving detection algorithms, a Dense SIFT-Flow algorithm is recently introduced. In the conventional Dense SIFT-Flow, a SIFT descriptor and an energy function are employed to make the flow vectors containing the movement information of each pixel at entire image. The matching process in the conventional SIFT-Flow algorithm uses descriptor information and a message-passing method in a coarse-to-fine scheme. Although the matching performance of the Dense SIFT-Flow is good for detecting the movement of each pixel, large computational time is needed. To reduce the complexity of the description part, the proposed method employs a binary descriptor. The process of the binary descriptor is simple enough to reduce the complexity. In addition, the energy function in the conventional Dense Flow-Field must be modified for the binary descriptor as replacing the unfair displacement term of the conventional energy function with a fair displacement term. From the experimental results, we can know that the proposed method is faster than the conventional method with respect to making flow field and more robust with respect to diagonal movements.
Feature extraction with triplet convolutional neural network for content-based image retrieval

Feature representations and similarity metric are important for content-based image retrieval (CBIR) tasks. Inspired by recent successes of convolutional neural network (CNN) with hierarchical features, in this paper, we apply a triplet convolutional neural network (Triplet-CNN) to learn features with the criterion of similarity metric. Furthermore, we propose some strategies to improve the performance of Triplet-CNN for CBIR tasks. In training stage, in order to avoid the problem of lacking data in training Triplet-CNN, we utilize dataset in similar domains to retrain the network. In feature extraction stage, since the rectified linear unit (ReLU) activation function drops all negative neurons, we extract the non-activation based features to preserve the information. And then we combine features from different layers to retrieve images. Our experimental results demonstrate that our method can improve the retrieval performance of CBIR tasks.
Performance comparison of AODV and HWMP routing protocols in wireless mesh networks

Wireless mesh networks (WMNs) have gain attention from researchers in telecommunication engineering field due to its potential to provide low cost internet broadband access, wireless local area network coverage and network connectivity for stationary or mobile host. This network consists of multiple wireless routers that are used to relay each other's packet in multi-hop fashion. Hence, routing protocol plays an important part in maintaining the connectivity of WMNs. In this paper, two routing protocols, Ad hoc On-demand Distance Vector (AODV) and Hybrid Wireless Mesh Routing Protocol (HWMP) are compared in terms of their performance in WMNs. A random wireless mesh topology with router nodes is modelled in Network Simulator 3 by assuming that the router nodes are connected to its client nodes. The simulations are performed in two different topologies with varied number of nodes. Three merits are taken into account when making the comparisons which are packet delivery fraction, throughput, and end-to-end delay. The simulation results demonstrate that HWMP is more suitable to be applied in WMNs compared to AODV.
STRATEGIES FOR THE DEVELOPMENT OF THE NEXT GENERATION OF MOBILE MAPPING SYSTEMS

Mobile Mapping Systems (MMS) refer to an increasing range of moving platforms upon which multiple sensors and measurement systems have been integrated to provide continuous, three-dimensional positioning and orientation of the platform and simultaneously collected spatial data. In order to increase the uptake of MMS across the industry sectors that can most benefit, the limitations of cost and usability facing current generation MMS need to be addressed. This paper proposes that these limitations can be addressed by integrating research developments in the fields of positioning technologies, spatial cognition modelling and human behavioral studies. Whilst these areas of research have previously been undertaken in relative isolation, it is anticipated that their inherent synergies for MMS as presented in this paper will offer some novel perspectives for developing the next generation of MMS. Specifically, this paper addresses the performance issues associated with the use of the Global Positioning System (GPS) and low-cost positioning and orientation sensors for MMS. It presents algorithms for integrating the on-board positioning and orientation sensors with the view to making them more robust. Additionally, this paper presents a typical approach drawn from current research in human spatial cognition studies that aims to convert measured data into information and ultimately knowledge for the user. Finally, this paper will outline the next phase of this research that aims to fully integrate these independent research themes to develop the next generation of robust, context aware MMS.
A Monoclonal Antibody to Human Protein S Used as the Capture Antibody for Measuring Total Protein S by Enzyme Immunoassay

Measurement of Protein S in human plasma is clinically important because a deficiency of this protein, which functions as a cofactor of the naturally occurring anticoagulant activated Protein C, is a risk factor for venous thromboembolism. We describe a two-site, enzyme-linked immunosorbent assay (EusA) for measuring Protein S in which a monoclonal lgG directed against the calcium-independent conformation of Protein S is the capture antibody. The range of detection for the assay was 10 to 160 ng of Protein S per milliliter.The coefficients of variation were 4.6%-7.3% withinassay and 7.7%-1 0.1% between-assay. We compared this assay with an ELISA involving a polyclonal anti-Protein S rabbit lgG as capture antibody (I) and with Laurell’s electroimmunoassay (II) to measure ProteinS in plasmafrom32 normal subjects and 121 patients or indMduais expected to have low concentrations of total Protein S (full-term newborns, pregnant women after the 18th week of gestation, patients with disseminated intravascular coagulation or liver cirrhosis, patients receiving therapy with warfarin, and patients with congenital Protein S deficiency). In general, the results obtained with the monoclonal antibody-based ELISA correlated well with those from I (r = 0.94), less well with those from II (r = 0.86).
Face processing is enhanced in the left and upper visual hemi-fields

ABSTRACT We tested whether two known hemi-field asymmetries would affect visual search with face stimuli. Holistic processing of spatial configurations is better in the left hemi-field, reflecting a right hemisphere specialization, and object recognition is better in the upper visual field, reflecting stronger projections into the ventral stream. Faces tap into holistic processing and object recognition at the same time, which predicts better performance in the left and upper hemi-field, respectively. In the first experiment, participants had to detect a face with a gaze direction different from the remaining faces. Participants were faster to respond when targets were presented in the left and upper hemi-field. The same pattern of results was observed when only the eye region was presented. In the second experiment, we turned the faces upside-down, which eliminated the typical spatial configuration of faces. The left hemi-field advantage disappeared, showing that it is related to holistic processing of faces, whereas the upper hemi-field advantage related to object recognition persisted. Finally, we made the search task easier by asking observers to search for a face with open among closed eyes or vice versa. The easy search task eliminated the need for complex object recognition and, accordingly, the advantage of the upper visual field disappeared. Similarly, the left hemi-field advantage was attenuated. In sum, our findings show that both horizontal and vertical asymmetries affect the search for faces and can be selectively suppressed by changing characteristics of the stimuli.
Adaptation of Organizational Justice in Sport Scale into Turkish Language: Validity and Reliability Study

The present study aimed to provide a Turkish adaptation of the Organizational Justice in Sport Scale and perform reliability and validity studies. Answers provided by 260 participants who work as football, male basketball and female basketball coaches in National Collegiate Athletic Association (NCAA) were analysed using the original scale that comprised 17 items and three dimensions rated on a Likert-type 7-point scale. Subsequently, the opinions of 210 coaches were obtained. Confirmatory factor analysis conducted at the end of the study determined that the standardized regression coefficients vary between 0.45 and 0.92. Model-fit indexes showed that Turkish version of the scale had high construct validity. It was found that the corrected item-total correlation varied between 0.589 and 0.846. Further, it was determined that there were medium-/high-level positive correlations between sub-dimensions. Cronbach’s alpha reliability coefficient was calculated as 0.957. The authors concluded that the Turkish version of the Organizational Justice in Sport Scale was a valid, reliable and convenient measurement tool for determining the level of Organizational justice among the coaches.
Novel Approach of Fault Diagnosis in Wireless Sensor Networks Node Based On Rough Set and Neural Network Model

Nodes of wireless sensor network (WSN) will appear various faults, because the influence of many unavoidable factors and environment is very complex and harsh. Rough set can deal with incomplete information, especially in the data reduction, and it is easy to realize low energy consumption problem of on-line fault diagnosis based on WSN node energy Co. This paper adopts attribute reduction algorithm by integrate rough set with neural network model to eliminate WSN node failure, so as to achieve data reduction and to improve the accuracy and efficiency of fault diagnosis purpose. The paper makes use of rough set and neural network to the failure phenomenon of WSN node by using knowledge reduction of discernibility matrix and logic operation, eliminating the redundant attribute WSN node fault. Then, fault decision complex table is built by he classified fault, and finally determine the fault location corresponding to fault phenomenon and repair of the final decision table. The experimental results show that this method improves the robustness of the fault diagnosis, and enhances the practicability of WSN limited energy.
Inductorless 1–10.5 GHz wideband LNA for multistandard applications

This article presents the design of a fully integrated inductorless LNA for wireless applications including WLAN, Bluetooth and UWB. The circuit was fabricated in 65nm CMOS technology and operates at a supply voltage of 1.2 V. The two-stage design is comprised of a current reuse shunt feedback input stage followed by a differential pair, incorporating an active inductor load to compensate the gain roll-off. The circuit exhibits a peak gain of 16.5 dB, while the 3-dB bandwidth as well as the input and output matching of better than −10 dB range from 1–10.5 GHz. The noise figure is kept below 5 dB within this frequency range, offering a minimum noise figure of 3.9 dB. The linearity in terms of P1dB, out and oIP3 offers nearly constant behavior with −5 dBm and 3 dBm respectively. The active area takes up only 0.021 mm2.
Web Speech API

This technical report describes the current state of the Web Speech API, which provides a JavaScript interface for speech analysis and speech synthesis to web applications. The focus lies on measuring the performance of Google’s speech recognition web service that is behind the experimental API implementation in the Chromium browser. To this end, sentence correctness and word accuracy is measured us-ing the TSP speech database with more than 1400 recordings of the Harvard sentences. The report also puts the Web Speech API into historical context and speculates about future prospects. A practical use-case is given that demonstrates how the API can be used in a web application. Supplemental data and the use-case is published online.
Multiple Dirichlet Series

This introductory article aims to provide a roadmap to many of the interrelated papers in this volume and to a portion of the field of multiple Dirichlet series, particularly emerging new ideas. It is both a survey of the recent literature, and an introduction to the combinatorial aspects of Weyl group multiple Dirichlet series, a class of multiple Dirichlet series that are not Euler products, but which may nevertheless be reconstructed from their p-parts. These p-parts are combinatorially interesting, and may often be identified with p-adic Whittaker functions.
Development of interconnection materials for Bi2Te3 and PbTe thermoelectric module by using SLID technique

In this study, low-temperature Bi2Te3 and mid-temperature PbTe thermoelectric modules are assembled by the technique of Solid Liquid Interdiffusion (SLID). Scanning electron microscope is carried out for issues relating to factors limiting the reliability, growth of intermetallic compounds, and thermal stability. For low-temperature thermoelectric module, N-type Bi2Te3 is bonded to alumina substrates by using a Ni/Sn/Ag system. During bonding and subsequent aging reaction at 200 °C, Sn reacts with Ag to form Ag3Sn, and Ni reacts with Sn to form Ni3Sn4. This reaction process takes less than 72 h to exhaust the entire Sn layer to produce a bonding that can withstand temperature as high as 480 °C. The interfacial reaction, Ni penetration depth, and IMC kinetics between Ni and Bi2Te3 at 200, 250, and 300 °C are also investigated in detail. For mid-temperature thermoelectric module, N-type PbTe is bonded to alumina substrates by using a Ag/In/Ag system. During assembly at 190 °C, all Ag/In/Ag joint are transformed into Ag2In, which has the melting temperature above 670 °C, in less than 2 minutes. Furthermore, this Ag-In joint has passed high temperature storage test at 400 °C for 1000 h. The success of solid liquid interdiffusion technique and related contact materials provide a cost effective way to assemble thermoelectric modules for power generating or cooling applications which require long term operations at high temperatures.
A OSR ' T . 860 27 * 0 ' 0 A Fast Graphical Goodness of Fit Test For Time Series Models by

2 The oscillatory appearance of stationary time series is captured very economically by only a few higher order crossings which in addition contain a great deal of the spectral content of the process. A useful approximation to the variances of higher order crossings is discussed and is applied in the construction of probability limits for the hypothesized higher order crossings. From this, a graphical display of higher order crossings together with their probability limits provide a fast goodness of fit test. Examples illustrate the applicability of this device. -. Dis~~(~c MA rr qg C-bleDlvi
A Spherical Haptic Interface with Unlimited Workspace

Abstract Over the last two decades, various haptic interfaces have been developed. However, their workspace has been mechanically restricted. This limited workspace reduces operationality, because operation should be suspended at the boundary. In this paper, to tackle this problem, a spherical haptic interface is developed, which utilizes a ball as an interface with the human. The ball is driven by three DC motors through omni wheels. Consequently, unlimited workspace is achieved for orientation. Furthermore, a novel artificial sensation is implemented by rolling the ball with the palm.
Do alcohol‐metabolizing enzyme gene polymorphisms increase the risk of alcoholism and alcoholic liver disease?

Case–control studies that have investigated the association between alcoholism and alcohol‐induced liver damage and the ADH2, ADH3, CYP2E1, and ADLH2 polymorphisms have reported controversial or inconclusive results. Thus, we conducted a meta‐analysis of 50 association studies of the above polymorphisms. We explored potential sources of heterogeneity and bias, performed subgroup analyses by racial background and sex, performed sensitivity analyses for studies not in Hardy‐Weinberg equilibrium, and performed a subgroup analysis for cases that met strict criteria for alcoholism. The present meta‐analysis underscores significant associations of ADH2*1, ADH3*2, and ALDH2*1 alleles and the risk of alcoholism (OR = 1.89 [95% CI 1.56–2.28], 1.32 [95% CI 1.12–1.57], and 4.35 [95% CI 3.04–6.23], respectively). The subsequent subgroup analyses showed association for ADH2*1 and ADH3*2 only in East Asians (OR = 2.23 [95% CI 1.81–2.74] and 1.91 [95% CI 1.45–2.53], respectively) and East Asian males (OR = 2.21 [95% CI 1.57–3.10], 1.69 [95% CI 1.10–2.59], respectively). In East Asian males, the OR for ALDH2*1 was 3.66 (95% CI 1.68–7.96). In Caucasians, sensitivity analysis revealed an association for ADH2*1 in alcoholism (OR = 1.62 [95% CI 1.22–1.89]). When strict criteria were imposed, the pattern of results remained unaltered. For liver disease, there were no significant associations for ADH2*1, ADH3*2, or ALDH2*1 in all subpopulations. The CYP2E1 polymorphism showed no association whatsoever. There is evidence that alleles are mainly dominant. In conclusion, there was heterogeneity between studies in alcoholism for ADH2, ADH3, and ALDH2, and lack of bias in all polymorphisms. The above findings reinforce the need for more rigorous studies, and for regular synthesis of studies' results. (HEPATOLOGY 2006;43:352–361.)
A combined indenter/ARFI imaging system

The goal of this project is to develop an integrated indenter-ARFI (acoustic radiation force impulse imaging) system. The system is capable of acquiring matched datasets from ex vivo tissue samples, which will be used to evaluate excised colorectal tumors and blood vessels with atherosclerosis. This system will facilitate correlation of ARFI images of tissue samples with independently characterized material properties. We hypothesize that for a fixed indenter stress, the measured tissue displacements will be correlated with the ARFI generated displacements, which are inversely proportional to the stiffness of the tissue. A 100 Bloom gelatin phantom with a 300 Bloom surface lesion was used to test the system. Four indenter tips with different sizes were used to scan across the lesion phantom. Smaller tip diameters provide improved lesion edge definition for a given lateral sampling; for a given indenter tip, closer lateral sampling also improves lesion edge definition. For ARFI imaging, displacements were calculated at 0.35ms after ARFI excitation. To compare the results from the two systems, ARFI data was averaged axially along a 2 mm window starting at the sample surface, and compared with the indenter displacements at a given stress. Good agreement is observed between the ratio of displacements inside and outside of the stiff inclusion, for both the phantom and ex vivo colon cancer samples. Keywordsindenter; ARFI; elasticity imaging
Characterization of the Back Interface in Strained-Silicon-on-Insulator Channel and Enhancement of Electrical Properties by Heat Treatment

The electrical characteristics of thin strained-silicon-on-insulator (sSOI) wafers were evaluated, and the effects of annealing processes on the back interface states of sSOI wafers were analyzed by using the back-gated (BG) metal-oxide-semiconductor field-effect-transistor structure. The electrical characteristics of the BG MOSFET fabricated on sSOI wafers were superior to that of conventional SOI wafers. However, the rapid thermal annealing (RTA) process induced significant degradations by increasing the back interface states between the strained-Si thin channel and the buried oxide layer. On the other hand, the conventional furnace annealing process at 500degC in a nitrogen (N2) ambient was effective for reducing the RTA-induced back interface states, and the performances of the BG sSOI MOSFET annealed in N2 ambient were significantly improved.
Permittivity characteristics of epoxy/alumina nanocomposite with high particle dispersibility by combining ultrasonic wave and centrifugal force

This paper proposes a novel technique to fabricate epoxy/alumina nanocomposites with nanoparticle composite process by combination of ultrasonic wave and centrifugal force. The particle dispersion effect of the nanoparticle composite process and its influence on dielectric permittivity were discussed quantitatively. Experimental results clarified that the combination of ultrasonic wave and centrifugal force was effective to increase dispersed nanoparticles and as well as to separate residual agglomerates. We verified that the improvement of particle dispersibility in the nanoparticle composite process by combination of ultrasonic wave and centrifugal force could bring about lower permittivity of the nanocomposites, especially than that of unfilled epoxy material.
SPECTRAL CHARACTERISTICS FOR ESTIMATION HEAVY METALS ACCUMULATION IN WHEAT PLANTS AND GRAIN

Plants would the start with step of a metal's pathway starting with the dirt on heterotrophic creatures for example, such that animals and humans, thus the substance from claiming metallic follow components for eatable parts of a plant representable accessible load of these metals that might enter those natural way of life through plants. Around metal elements, Cu and Zn would micro nutrients as they are essential in trace concentrations for physiological processes in plants. Furthermore consequently would a critical part from the soil–plant– food continuum. Therefore this study aimed to analyzing the performance of multivariate hyperspectral vegetation indices of wheat (Triticum aestivum L.) in estimating the accumulation of these elements in plant dry mutter and the final product of Egyptian wheat crop irrigated with high concentrations of Zn and Cu. We applied five concentrations for each element (0.05, 20, 40, 100, and 150 ppm of Zn) and (0.02, 8, 10, 12, and 15 ppm of Cu) to a controlled greenhouse experiment to examine the effect of these concentrations on plant spectral characteristics and study the possibility of using spectroradiometry measurements for identifying the grain content of these metals. The results demonstrated that The hyperspectral vegetation indices had a potential for monitoring Zn concentration in the plant dry matter. NPCI and PSSR had a highest correlation with Cu phytoaccumulation into the grains with highest significant level (P-Value < 0.01) and (r) values (-0.39, 0.42). Conclusively, Results of present study demonstrate that hyperspectral reflectance data, as well as studied VIs appears to have potentials for monitoring the phytoaccumulation of Zn into above-