Miracle-dz/UniFAR-FTUs huggingface dataset:
Human-human interaction recognition based on spatial and motion trend feature

Human-human interaction recognition has attracted increasing attention in recent years due to its wide applications in computer vision fields. Currently there are few publicly available RGBD-based human-human interaction datasets collected. This paper introduces a new dataset for human-human interaction recognition. Furthermore, a novel feature descriptor based on spatial relationship and semantic motion trend similarity between body parts is proposed for human-human interaction recognition. The motion trend of each skeleton joint is firstly quantified into the specific semantic word and then a Kernel is built for measuring the similarity of either intra or inter body parts by histogram interaction. Finally, the proposed feature descriptor is evaluated on the SBU interaction dataset and the collected dataset. Experimental results demonstrate the outperformance of our method over the state-of-the-art methods.
Photocurrent spectra of bilayers and blends of the organic donor-acceptor system CuPc/C60

Photocurrent spectra and quantum efficiency are investigated in photovoltaic cells with the electron donor material Cu-phthalocyanine (CuPc) together with C60 as electron acceptor material. By a systematic variation of both layer thicknesses in bilayer devices with the main process of photocurrent generation at the donor-acceptor interface we found a significant influence on photocurrent generation due to optical interference effects and determined the optimum layer thicknesses for both materials. The effective dissociation interface is increased by introducing a 1:1 blend of both materials between the pure CuPc and C60 layers. The more extended active volume of exciton dissociation leads to higher quantum efficiencies (IPCE up to approximately equals 22%) of the photovoltaic effect in comparison to the heterojunction bilayer devices.
The Prognostic Value of Decreased KLF4 in Digestive System Cancers: A Meta-Analysis from 17 Studies

Background The prognostic value of loss of Krüppel-like factor 4 (KLF4) expression in digestive system cancers has not reached a consensus. This study aimed for a comprehensive investigation of the internal associations between KLF4 expression loss and prognostic implications in patients with digestive system cancers. Methods We searched for all relevant literatures in the electronic databases until February 1, 2017. The degree of association between KLF4 and prognosis was evaluated by pooled hazard ratios (HRs) as well as relevant 95% confidence intervals (95% CIs). Results Seventeen eligible studies with 2118 patients revealed that loss of KLF4 expression was connected with poor prognosis, with the pooled HRs of 1.61 (95% CI: 1.17–2.20, P = 0.003) for the overall survival (OS) and 1.99 (95% CI: 1.12–3.52, P = 0.001) for the disease-free survival (DFS)/recurrence-free survival (RFS)/metastasis-free survival (MFS). Additionally, loss of KLF4 expression was also related to a worse disease-special survival (DSS) yielding a pooled HR of 1.73 (95% CI: 1.08–2.77, P = 0.022). Conclusion Our findings suggest that loss of KLF4 expression is correlated with a bad outcome in most digestive system cancers, apart from esophagus squamous cell carcinoma (ESCC).
Sensitivity of Water Leak Tests for Latex Condoms

As part of quality assurance testing, latex condoms are often screened for pinholes using water leak tests. This report analyzes the seasitivity of two similar tests, both requiring that a condom be filled with 300 mL of water and then examined visually for leakage. One test, a Food and Drug Administration protocol, specifies that the condom be filled vertically, the open end pinched off, and then rolled horizontally on a towel. The second test, developed by the American Society for Testing and Materials, is the same, except the condom is not rolled, merely placed in a horizontal position and examined. Detectability of a defect is dependent on the pressure developed within the condom, wettability of the condom surface by the water, thickness, and expansion of the condom. Three brands and nine different models were studied to determine the range of values for these variables and the sensitivity of the tests were then calculated. Sensitivity (minimum hole size detectable) varies from approximately 100 μm radius to 3 μm radius. Note that the smallest defect observable is larger than the HIV virus.
Effects of Peutz-Jeghers syndrome (PJS) causing missense mutations L67P, L182P, G242V and R297S on the structural dynamics of LKB1 (Liver kinase B1) protein

The liver kinase B1 (LKB1) is encoded by LKB1 gene. Several pathogenic mutations of LKB1 causing Peutz–Jeghers syndrome and also cancers in breast, gastric, pancreas, and colon have been reported. The present study is focused to analyze the effects on the structural dynamics of LKB1 caused by the 4 pathogenic missense mutations (L67P, L182P, G242V, and R297S), which are reported to reduce the catalytic activity. In this study, the structural changes of LKB1 in apo- and in heterotrimeric complex (LKB1–STRADα–MO25α) form with wild and mutated LKB1 are investigated using all atomistic molecular dynamic simulation. The present study reveals that these four mutations initiate local structural distortions and the solvent accessibility of the surrounding regions of ATP-binding pocket such as glycine-rich loop, αB and αC loop, activation and catalytic loops. The mutations of L67P, L182P, and G242 V induce distortions of the secondary structure of β1–β3 sheets, π – π interaction (observed between Phe204 of LKB1 and Phe243 of MO25α), and increase the helical properties (both helical twist and length) of the adjacent αH-helix, respectively. The active kinase features like the conformation of catalytic and activation loops, salt bridge and, finally, the formation of stable R- and C-hydrophobic spines are also found to be perturbed by these mutations. Hence, the observed mutation-induced structural distortions fail to coordinate the essential binding nature of LKB1 with STRADα and MO25α, which eventually affects the native function of LKB1. These observations are in line with the experimentally reported reduced kinase activity of LKB1.
A new fusion method for remote sensing images based on salient region extraction

The goal of the remote sensing image fusion is to inject the detail information extracted from panchromatic (PAN) images to multispectral (MS) images with minimized spectral distortion. However, different regions in the image may practically have different demands on the spatial and spectral resolution. In this paper, a new fusion method for remote sensing images based on salient region extraction is proposed. By introducing the hybrid visual saliency analysis, information in the PAN and MS image are automatically partitioned into two categories: salient and non-salient regions. Then, a sub-region fusion strategy is applied to fuse the non-salient and salient regions respectively. For non-salient regions, such as farmland and mountains, the wavelet transform is used in the process of spatial infusion to suppress spectral distortion. As for salient regions like residential areas, the windowed IHS transform is carried out for its merits of effective integration of spatial and spectrum information. Experimental results demonstrate that our proposal achieves a better balance between spatial injection and spectral maintenance in different regions.
Flexible Fusion Structure-Based Performance Optimization Learning for Multisensor Target Tracking

Compared with the fixed fusion structure, the flexible fusion structure with mixed fusion methods has better adjustment performance for the complex air task network systems, and it can effectively help the system to achieve the goal under the given constraints. Because of the time-varying situation of the task network system induced by moving nodes and non-cooperative target, and limitations such as communication bandwidth and measurement distance, it is necessary to dynamically adjust the system fusion structure including sensors and fusion methods in a given adjustment period. Aiming at this, this paper studies the design of a flexible fusion algorithm by using an optimization learning technology. The purpose is to dynamically determine the sensors’ numbers and the associated sensors to take part in the centralized and distributed fusion processes, respectively, herein termed sensor subsets selection. Firstly, two system performance indexes are introduced. Especially, the survivability index is presented and defined. Secondly, based on the two indexes and considering other conditions such as communication bandwidth and measurement distance, optimization models for both single target tracking and multi-target tracking are established. Correspondingly, solution steps are given for the two optimization models in detail. Simulation examples are demonstrated to validate the proposed algorithms.
Roles for fluid and/or melt advection in forming high‐P mafic migmatites, Fiordland, New Zealand

A series of striking migmatitic structures occur in rectilinear networks through western Fiordland, New Zealand, involving, for the most part, narrow anorthositic dykes that cut hornblende‐bearing orthogneiss. Adjacent to the dykes, host rocks show patchy, spatially restricted recrystallization and dehydration on a decimetre‐scale to garnet granulite. Although there is general agreement that the migration of silicate melt has formed at least parts of the structures, there is disagreement on the role of silicate melt in dehydrating the host rock. A variety of causal processes have been inferred, including metasomatism due to the ingress of a carbonic, mantle‐derived fluid; hornblende‐breakdown leading to water release and limited partial melting of host rocks; and dehydration induced by volatile scavenging by a migrating silicate melt. Variability in dyke assemblage, together with the correlation between dehydration structures and host rock silica content, are inconsistent with macroscopic metasomatism, and best match open system behaviour involving volatile scavenging by a migrating trondhjemitic liquid.
Different effects of chronic THC on the neuroadaptive response of dopamine D2/3 receptor‐mediated signaling in roman high‐ and roman low‐avoidance rats

The Roman high (RHA)‐ and low (RLA)‐avoidance rat sublines have been identified as an addiction‐prone and addiction‐resistant phenotype based on their high vs. low locomotor responsiveness to novelty and high vs. low ability to develop neurochemical and behavioral sensitization to psychostimulants, respectively. Most studies though have focused on psychostimulants and little is known about the neuroadaptive response of these two lines to cannabinoids. This study investigated the effects of chronic exposure to Δ9‐tetrahydrocannabinol (THC) on dopamine D2/3 receptor (D2/3R) availabilities and functional sensitivity in the mesostriatal system of RHA and RLA rats. At baseline, RLA rats exhibited higher densities of mesostriatal D2/3R but lower levels of striatal CB1R mRNA and displayed a lower locomotor response to acute THC as compared to RHAs. Following chronic THC treatment, striking changes in D2/3R signaling were observed in RLA but not in RHA rats, namely an increased availability and functional supersensitivity of striatal D2/3R, as evidenced by a supersensitive psychomotor response to the D2/3R agonist quinpirole. Moreover, in RLA rats, the lower was the locomotor response to acute THC, the higher was the psychomotor response to quinpirole following chronic THC. These results showing a greater neuroadaptive response of RLA vs. RHA rats to chronic THC thus contrast with previous studies showing a resistance to neuroadaptive response of RLAs to psychostimulants, This suggests that, contrasting with their low proneness to psychostimulant drug‐seeking, RLAs may exhibit a heightened proneness to cannabinoid drug‐seeking as compared to RHA rats.
ERP Systems and the Strategic Management Processes that Lead to Competitive Advantage

This paper describes the processes that firms and managers go through in their quests to create and sustain competitive advantages based on so-called Enterprise Resource Planning ERP systems. It is based on resource-based theory, combined with the strategy process perspective and with existing literature on information technology and ERP. The theoretic framework is extended through a detailed case study of a specific in-house ERP venture in a European multinational manufacturing company in the paper packaging industry. The emergent resource management framework describes cognitive and cultural factors that support or hamper progress, including uncertainty, knowledge gaps, knowledge transfer issues and the problems of ensuring that ERP usage is converted into competitive advantage. The framework also addresses managerial implications and potential solutions to such obstacles, throughout the process.
Performance measures of Vivaldi antenna with parasitic elements

Vivaldi antenna is a wideband antenna working on the principle of travelling wave antenna. In this paper, Vivaldi antenna is designed with FR4epoxy (er = 4.4) substrate. ANSYS HFSS V.15. 0 is used to simulate the antenna design. The radiation of the Vivaldi antenna is enhanced by introducing an elliptical patch in the flare edge. An elliptical complementary split ring resonator (ECSRR) is introduced in the elliptical patch and the variations in the performance characteristics are observed. In this paper, return loss, VSWR and gain of the designed antenna are presented and discussed.
Rapid Consolidation Behavior of Dredged Clays at High Water Content

Consolidation of dredged clays with a system of horizontal and vertical drains is considered. Horizontal drains in the system are made of sand layers, while vertical drains are plastic vertical drains (PVD). Laboratory model tests are performed to study the rapid consolidation behavior of layered clay-sand and clay with PVD. Special cares are given to settlement and the drainage rate of dredged clays with radial and vertical drain system. Numerical analysis is also used to identify the stability time of consolidation, and to verify which method is better suitable for handling large-scale dredged clays.
FARMNET: Agriculture support system using Wireless Sensor and Actuator Network

A combination of Wireless Sensor and Actuator Networks (WSAN) and information technology is emerging as a promising mechanism for cost effective real time monitoring and management solutions in variety of domains. In this paper an "Agriculture Support System" is developed using WSAN and information technology for management of large scale and commercial agriculture. It has potential of providing higher crop yields, decreasing waste and labor costs by real-time and automatic monitoring of agricultural parameters and climatic conditions. A test-bed implementation of WSAN for agriculture support system—FARMNET is created. The network senses the real time climatological and agricultural parameters influencing crop yield and relays it to the master station, a central repository. The paper describes the network architecture, hardware and software design of master station and sensor-actuator node for the real-time monitoring and management of agricultural parameters.
Dense non-rigid structure-from-motion made easy — A spatial-temporal smoothness based solution

This paper proposes a simple spatial-temporal smoothness based method for solving dense non-rigid structure-frommotion (NRSfM). First, we revisit the temporal smoothness and demonstrate that it can be extended to dense case directly. Second, we propose to exploit the spatial smoothness by resorting to the Laplacian of the 3D non-rigid shape. Third, to handle real world noise and outliers in measurements, we robustify the data term by using the L1 norm. In this way, our method could robustly exploit both spatial and temporal smoothness effectively and make dense non-rigid reconstruction easy. Our method is very easy to implement, which involves solving a series of least squares problems. Experimental results on both synthetic and real image dense NRSfM tasks show that the proposed method outperforms state-of-the-art dense non-rigid reconstruction methods.
A data anonymous method based on overlapping slicing

In recent years, data dissemination privacy protection issues received extensive attention. A variety of privacy preserving anonymity models and technology, such as generalization, anatomy and slicing have been proposed. We present a new technique - overlapping slicing, it handles data attributes mainly based on the idea of fuzzy clustering. And we present a linear algorithm of processing data with group to generate multiple data tables, and make them satisfy l-diversity. We conduct several experiments to confirm that overlapping slicing technology ensures data security and improves the effectiveness of anonymous data at the same time. What's more, overlapping slicing processes high-dimensional data effectively.
Severe intestinal malabsorption associated with olmesartan: a French nationwide observational cohort study

Objectives Severe sprue-like enteropathy associated with olmesartan has been reported, but there has been no demonstration of an increased risk by epidemiological studies. Aim To assess, in a nationwide patient cohort, the risk of hospitalisation for intestinal malabsorption associated with olmesartan compared with other angiotensin receptor blockers (ARB) and ACE inhibitors (ACEIs). Design From the French National Health Insurance claim database, all adult patients initiating ARB or ACEI between 1 January 2007 and 31 December 2012 with no prior hospitalisation for intestinal malabsorption, no serology testing for coeliac disease and no prescription for a gluten-free diet product were included. Incidence of hospitalisation with a discharge diagnosis of intestinal malabsorption was the primary endpoint. Results 4 546 680 patients (9 010 303 person-years) were included, and 218 events observed. Compared with ACEI, the adjusted rate ratio of hospitalisation with a discharge diagnosis of intestinal malabsorption was 2.49 (95% CI 1.73 to 3.57, p<0.0001) in olmesartan users. This adjusted rate ratio was 0.76 (95% CI 0.39 to 1.49, p=0.43) for treatment duration shorter than 1 year, 3.66 (95% CI 1.84 to 7.29, p<0.001) between 1 and 2 years and 10.65 (95% CI 5.05 to 22.46, p<0.0001) beyond 2 years of exposure. Median length of hospital stay for intestinal malabsorption was longer in the olmesartan group than in the other groups (p=0.02). Compared with ACEI, the adjusted rate ratio of hospitalisation for coeliac disease was 4.39 (95% CI 2.77 to 6.96, p<0.0001) in olmesartan users and increased with treatment duration. Conclusions Olmesartan is associated with an increased risk of hospitalisation for intestinal malabsorption and coeliac disease.
Resource allocation strategy in SCMA based multiple access system

The fifth generation (5G) communication system is expected to support various applications and devices. Sparse code multiple access (SCMA) is a competent non-orthogonal multiple access technology for 5G wireless communication networks which can accommodate heavy connections with different user requirement for different applications. In addition, people's requirement on wireless communications of high quality, large data rate and functional diversification has grown swiftly in the last few years. Aiming to achieve high speed packet data transmission in scarce spectrum resource and maximize system throughput under the QoS (Quality of Service) constraint, appropriate resource allocation strategy is extremely needed. In this paper, a SCMA based downlink resource allocation strategy is designed and two radio resource allocation algorithms are applied into the novel strategy, namely, PF (Proportional Fair) algorithm and M-LWDF (Modified Largest Weighted Delay First) algorithm. Simulation results show that compared with OFDM based resource allocation strategy, the SCMA based resource allocation strategy can improve system throughput, reduce packet loss rate and latency, and user fairness can also be guaranteed.
Evaluating the Effectiveness of Concurrent Review: Does It Improve Stroke Measure Results?

Background: Concurrent review is a quality improvement strategy in which patients are tracked from admission to discharge, and messages are communicated to the responsible physician when quality stroke measures have not been met. There is little research regarding interventions that might influence clinical practice patterns and improvement in compliance with core quality measures. This study sought to evaluate whether concurrent review implementation was associated with change in performance on stroke measure outcome data. Methods: Randomly selected charts from 2 hospitals (A and B) during 3 time periods were reviewed. In period 1, neither hospital had a process for concurrent review. In period 2, hospital A, where concurrent review was implemented, was compared with hospital B without this process. In period 3, both hospitals had the process of concurrent review. Information on baseline demographics, insurance status, and length of stay was collected, as well as stroke performance measures. Results: A total of 620 medical records were reviewed during the 3 time periods. Although the number of beds and annual stroke volume were higher at hospital B, patient characteristics were similar. During period 2, when hospital A implemented concurrent review and hospital B had not, a statistically significant higher compliance with performance in 7 stroke measures occurred in hospital A than in hospital B. In period 3, when both hospitals utilized concurrent review, no statistical significant differences occurred in 7 of the 10 stroke measures. Conclusion: Concurrent review is a quality improvement intervention that increases performance with stroke performance measures.
Multiple-Fluid SPH Simulation Using a Mixture Model

This article presents a versatile and robust SPH simulation approach for multiple-fluid flows. The spatial distribution of different phases or components is modeled using the volume fraction representation, the dynamics of multiple-fluid flows is captured by using an improved mixture model, and a stable and accurate SPH formulation is rigorously derived to resolve the complex transport and transformation processes encountered in multiple-fluid flows. The new approach can capture a wide range of real-world multiple-fluid phenomena, including mixing/unmixing of miscible and immiscible fluids, diffusion effect and chemical reaction, etc. Moreover, the new multiple-fluid SPH scheme can be readily integrated into existing state-of-the-art SPH simulators, and the multiple-fluid simulation is easy to set up. Various examples are presented to demonstrate the effectiveness of our approach.