Miracle-dz/UniFAR-FTUs huggingface dataset:
MATRI: a multi-aspect and transitive trust inference model

Trust inference, which is the mechanism to build new pair-wise trustworthiness relationship based on the existing ones, is a fundamental integral part in many real applications, e.g., e-commerce, social networks, peer-to-peer networks, etc. State-of-the-art trust inference approaches mainly employ the transitivity property of trust by propagating trust along connected users (a.k.a. trust propagation), but largely ignore other important properties, e.g., prior knowledge, multi-aspect, etc. In this paper, we propose a multi-aspect trust inference model by exploring an equally important property of trust, i.e., the multi-aspect property. The heart of our method is to view the problem as a recommendation problem, and hence opens the door to the rich methodologies in the field of collaborative filtering. The proposed multi-aspect model directly characterizes multiple latent factors for each trustor and trustee from the locally-generated trust relationships. Moreover, we extend this model to incorporate the prior knowledge as well as trust propagation to further improve inference accuracy. We conduct extensive experimental evaluations on real data sets, which demonstrate that our method achieves significant improvement over several existing benchmark approaches. Overall, the proposed method (MaTrI) leads to 26.7% - 40.7% improvement over its best known competitors in prediction accuracy; and up to 7 orders of magnitude speedup with linear scalability.
Self-reconfigurable robotics architecture utilising fuzzy and deliberative reasoning

This paper proposes a generic approach towards combining fuzzy logic and ontology-based deliberative reasoning to enable self-reconfigurability within a distributed system architecture. An Ontology-based rational agent uses outputs from a fuzzy inference system (reconfiguration layer) which passively monitors the performance of the lower-level sub-systems (application layer) in order to perform system reconfiguration. A reconfiguration is required to guarantee optimal performance within a complex robotics architecture when anomalous system and environmental changes take place. More importantly, this process of reconfiguration offers greater fault tolerance and reliability in novel scenarios as compared to isolated engineered systems. The current research work will apply the proposed framework to a visual navigation system for autonomous planetary rover missions. This demonstrates the method's success through an increase in system performance following a reconfiguration routine carried out within the application layer between two different types of visual navigation methods. Experimental analysis is carried out using real-world data, concluding that the proposed reconfigurable architecture gives superior performance against standard engineered techniques.
Filter Parameter Extraction for Triple-Band Composite Split-Ring Resonators and Filters

A configuration of composite resonators consisting of three split-ring resonators is proposed to obtain a triple-band response with two transmission zeros between the passbands. Two new topologies are presented to design triple-band filters with controllable responses. A systematic filter design approach is presented based on a filter coupling model. The model is established to enable triple-band filter design with controlled passbands. Two methods are proposed and compared for the extraction of filter parameters. Coupling between nonadjacent elements is considered in the model and shown to have a significant effect. By changing the orientation of the coupled composite resonators, it is possible to introduce additional transmission zeros. Two sixth-order filter examples illustrate the use of the coupling model with the filter design approach to design filters with specified responses. The limitations of this filter topology are discussed.
GSM based door open and closing system

GSM based Door Access Security System has principle application in security frameworks and it can be utilized as a part of Industries, Shops, Offices and in our homes. It replaces the customary security frameworks which utilizes key to open entryway. This venture has keyless passage to the entryway. Client needs to send secret key through SMS utilizing his/her portable. In the event that the secret key is right then Microcontroller turns on a DC engine and a Relay. Bell is turned on for wrong secret key. In its most straightforward shape Home security is the capacity to control entryway open or close Family security remotely. The transmitter depends on remote GSM strategy the idea Door bolting and opening System utilizes GPRS to open and close the entryway. Not with standing this security will be given utilizing GSM in the event of any unapproved get to. DC engine will then perform activity on entryway either bolting or opening.
lymphoma Deletions involving two distinct regions of 6 q in B-cell non-Hodgkin

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Systematic Expression Profiling Analysis Identifies Specific MicroRNA-Gene Interactions that May Differentiate between Active and Latent Tuberculosis Infection

Tuberculosis (TB) is the second most common cause of death from infectious diseases. About 90% of those infected are asymptomatic—the so-called latent TB infections (LTBI), with a 10% lifetime chance of progressing to active TB. To further understand the molecular pathogenesis of TB, several molecular studies have attempted to compare the expression profiles between healthy controls and active TB or LTBI patients. However, the results vary due to diverse genetic backgrounds and study designs and the inherent complexity of the disease process. Thus, developing a sensitive and efficient method for the detection of LTBI is both crucial and challenging. For the present study, we performed a systematic analysis of the gene and microRNA profiles of healthy individuals versus those affected with TB or LTBI. Combined with a series of in silico analysis utilizing publicly available microRNA knowledge bases and published literature data, we have uncovered several microRNA-gene interactions that specifically target both the blood and lungs. Some of these molecular interactions are novel and may serve as potential biomarkers of TB and LTBI, facilitating the development for a more sensitive, efficient, and cost-effective diagnostic assay for TB and LTBI for the Taiwanese population.
Single Center Retrospective Analysis of Conventional and Radial TIG Catheters for Transradial Diagnostic Coronary Angiography

Current guidelines favor the radial approach for coronary angiography. Therefore, specialty radial diagnostic catheters were designed to engage both coronary arteries with a single device. However, it is unclear if single catheters are superior to conventional catheters. A retrospective analysis was performed of consecutive right radial coronary angiographies to determine catheter use, fluoroscopy time, radiation dosage, and consumption of contrast. Procedures were performed with a single TIG catheter or conventional catheters (CONV). Procedures with coronary artery bypass grafts or ventricular angiographies were excluded. 273 transradial procedures were performed successfully. 95 procedures were performed with CONV and 178 procedures with a TIG. Crossover to additional catheters was higher in TIG (15.2%) compared to CONV (5.3%, p = 0.02). Fluoroscopy time was comparable between CONV and TIG, without crossover (2.2 ± 1.2 min versus 2.3 ± 1.2 min; n.s.), however, greater in the case of crossover for CONV (5.8 ± 0.7) and TIG (7.6 ± 3.0; p = 0.0001). Radiation dosage was similar in CONV and the TIG, without crossover (1419 ± 1075, cGy∗cm2 versus 1690 ± 1138; n.s.), however, greater for CONV (2374 ± 620) and TIG (3733 ± 2281, p = 0.05) with crossover. Overall, the amount of contrast was greater in TIG (56 ± 13 mL) versus CONV (48 ± 3 mL; p = 0.0003). CONV femoral catheters may be the primary choice for radial approach.
An Operational model for Mobile Target Tracking in Wireless Sensor Networks

The wireless sensor network is an emerging technology that may greatly facilitate human life by providing ubiquitous sensing, computing, monitoring and communication capability, through which people can more closely interact with the environment wherever he/she goes. To be context-aware, one of the central issues in sensor networks is location tracking, whose goal is to monitor the roaming path of a moving target. Its application is observed in several fields such as the meteorology, the chemistry, the road traffic, the battle field and so on. When a sensor detects a target in its transmission range it informs all other sensors by a short message (yes/no) in order to monitor least movements of the target. According to the strategy used several architectures were proposed in the literature. In this paper we propose a hexagonal architecture as follows; we assign coordinates in 2D plane to each node (memorized in its memory) and an unique identify number ID before the random deployment in any geographical area in order to form a hexagonal network. After the random deployment, a collaborative work initiated by the sensor which have coordinates (0, 0), allows each sensor to be able to find its position. We finally use the hexagonal network properties to define our tracking algorithm
Response to Male Odours in Progestin Receptor‐ and Oestrogen Receptor‐Containing Cells in Female Rat Brain

Sensory cues from male rats, such as odours and vaginal‐cervical stimulation (VCS), play a modulatory role in female rat sexual behaviour. For example, exposure to male odours and VCS appears to be at least partially responsible for increases in sexual behaviour following repeated mating of oestradiol‐primed female rats. Although there is evidence that VCS influences sexual behaviour via a ligand‐independent progestin receptor (PR)‐dependent mechanism, the mechanism by which odours influence sexual behaviour is not known. We tested the hypothesis that, similar to VCS, the effects of male odours on sexual behaviour are mediated by progestin receptors. Female rats were injected with the progestin antagonist, RU486, or oil vehicle and were then exposed to male‐soiled bedding or clean bedding. Although exposure to male‐soiled bedding resulted in higher levels of Fos immunoreactivity in brain areas associated with female sexual behaviour, the progestin antagonist did not reduce this effect. Furthermore, there was minimal coexpression of odour‐induced Fos and progestin receptors in brain areas associated with female sexual behaviour. Together, these results suggest that the effects of male odours are not mediated by a PR‐dependent mechanism. Therefore, we tested the hypothesis that oestrogen receptor (ER)‐containing cells are involved in the effects of olfactory cues. Although there was virtually no coexpression of ERβ and odour‐induced Fos in brain areas associated with female sexual behaviour, exposure to male odours slightly increased the number of cells coexpressing ERα and odour‐induced Fos in the posterodorsal medial amygdala. Although, these results do not support the hypothesis that the effects of odours are mediated by a PR‐dependent mechanism, they suggest that integration of male odours and hormonal cues may occur in ERα‐containing cells in the posterodorsal medial amygdala.
Reducing Memory Requirements for Diverse Animated Crowds

Large-scale crowd simulation and visualization is crucial for the next generation of interactive virtual environments. Current authoring techniques produce good results but are laborious, and demand valuable graphics memory and computational resources beyond the reach of consumer-level hardware. In this paper, we propose a technique for generating animatable characters for crowds that reduces memory requirements. The first step consists in reducing, segmenting and labeling a data set of virtual characters into simpler body parts; labeling information is then manually generated and used to correctly match different body parts in order to generate new characters. The second step comprises a method to embed the rig and skinning information into the texture space shared among the new characters. Additional methods using color, skin features, pattern, fat, wrinkle and textile fold maps are used to add more variety. Animation sequences are stored in auxiliary textures. These can be transferred between different characters, as well as versions of the same characters with different level of detail; such animations can be modified, and otherwise reused, increasing variety yet reducing memory requirements. We will demonstrate that our technique has four advantages: first, memory requirements are reduced by 91% when compared to traditional libraries; second, it can also generate previously nonexistent characters from the original data set; third, embedding the rig and skinning into texture space allows painless animation transfer between different characters and fourth, between different levels of detail of the same characters.
Efficient mobility support for content delivery in mobile communications

Due to the rapid evolution of the Internet to support content-centric devices and applications, more focus is on the content itself instead of the location of the content source. Content consumer mobility is an important aspect of content-centric networking (CCN) and future networks, but it has not been sufficiently studied. In this paper, we demonstrate that CCN can support faster communication services and provide uninterrupted data delivery in the 4G network and also in the upcoming 5G network. We propose an approach to integrate the CCN and LTE with high and seamless data delivery efficiency. We further propose a mobility management mechanism to support the network diversity by leveraging the abundant computation resources in the LTE network. To ensure seamless data delivery, we evaluate the performance of our proposed mechanism in terms of data transmission success ratio.
Oil price forecasting based on self-organizing data mining

The fluctuation of oil prices attracts the great attention of the world. However, the prediction of oil prices is very difficult because the oil price system is so complex. In this paper, AR-GMDH algorithm and AC algorithm are adopted to forecast oil prices. The validity and feasibility of self-organizing data mining are manifested by the comparisons of the prediction result with that of conventional statistical methods. The result shows that self-organizing data mining is a precise method to forecast such complex systems.
An Analysis of Regulatory T-Cell and Th-17 Cell Dynamics during Cytomegalovirus Replication in Solid Organ Transplant Recipients

Background CMV-specific T-cells are crucial to control CMV-replication post-transplant. Regulatory T-cells (T-regs) are associated with a tolerant immune state and may contribute to CMV-replication. However, T-cell subsets such as T-regs and IL-17 producing T-cells (Th-17) are not well studied in this context. We explored T-regs and Th-17 frequencies during CMV-replication after transplantation. Methods We prospectively evaluated 30 transplant patients with CMV-viremia. We quantified CMV-specific CD4+ and CD8+ T-cells, T-regs (CD4+CD25+FoxP3+) and Th-17 frequencies using flow-cytometry and followed patients requiring anti-viral treatment. Two subsets were compared: anti-viral treatment requirement (n = 20) vs. spontaneous clearance of viremia (n = 10). Results Higher initial CMV-specific CD4+ T-cells and lower T-regs were observed in patients with spontaneous clearance (p = 0.043; p = 0.021 respectively). Using a ratio of CMV-specific CD4+ T-cells to T-regs allowed prediction of viral clearance with 80% sensitivity and 90% specificity (p = 0.001). One month after stop of treatment, the same correlation was observed in patients protected from CMV-relapse. The ratio of CMV-specific CD4+ T-cells to T-regs allowed prediction of relapse with 85% sensitivity and 86% specificity (p = 0.004). Th-17 responses were not correlated with virologic outcomes. Conclusions This study provides novel insights into T-regs and Th-17 subpopulations during CMV-replication after transplantation. These preliminary data suggest that measurement of CMV-specific CD4+ T-cells together with T-regs has value in predicting spontaneous clearance of viremia and relapse.
Bilingual language acquisition in preschool age: The emotional context of kindergarten daily routines

This study aims to enhance bilingual language acquisition in very young children in a Portuguese kindergarten. The promotion of children’s language and cognition is done through access to another language – English – in their daily context by incorporating the language into the children’s routines and school daily activities. We collected data from an immersion teacher training program towards bilingualism use, the development of their assistants’ English language fluency, the parents’ awareness and beliefs about English and children’s language development. The sample includes 140 children, aged 5 months to 6 years, teachers and teaching assistants. Teachers have changed their language beliefs concerning English and the program has influenced their practice. The results showed that children develop communicative skills in both languages when surrounded by a bilingual friendly and emotional environment. They use both languages in their everyday life and have created a positive and emotional relationship with the English.
X-ray emission from the galaxies in Abell 2634

It is difficult to detect X-ray emission associated with galaxies in rich clusters, because the X-ray images of the clusters are dominated by the emission from their hot intracluster media (ICM). Only the nearby Virgo cluster provides us with information about the X-ray properties of galaxies in clusters. Here we report on the analysis of a deep ROSAT HRI image of the moderately rich cluster Abell 2634, by which we have been able to detect the X-ray emission from the galaxies in the cluster. The ICM of Abell 2634 is an order of magnitude denser than that of the Virgo cluster, and so this analysis allows us to explore the X-ray properties of individual galaxies in the richest environment yet explored. By stacking the X-ray images of the galaxies together, we show that the emission from the galaxies appears to be marginally resolved by the HRI. This extent is smaller than for galaxies in poorer environments, and is comparable to the size of the galaxies in optical light. These facts suggest that the detected X-ray emission originates from the stellar populations of the galaxies, rather than from extended hot interstellar media. Support for this hypothesis comes from placing the optical and X-ray luminosities of these galaxies in the LB–LX plane: the galaxies of Abell 2634 lie in the region of this plane where models indicate that all the X-ray emission can be explained by the usual population of X-ray binaries. It is therefore probable that ram pressure stripping has removed the hot gas component from these galaxies.
BIOINFORMATICS APPLICATIONS

Summary: BioShell is a suite of programs performing common tasks accompanying protein structure modeling. BioShell design is based on UNIXshellflexibilityandshouldbeusedasitsextension.UsingBioShell various molecular modeling procedures can be integrated in a single pipeline. Availability: BioShell package can be downloaded from its website http://biocomp.chem.uw.edu. pl/BioShell and these pages provide many examples and a detailed documentation for the newest version.
Mechanism for top-down control of working memory capacity

Working memory capacity, the maximum number of items that we can transiently store in working memory, is a good predictor of our general cognitive abilities. Neural activity in both dorsolateral prefrontal cortex and posterior parietal cortex has been associated with memory retention during visuospatial working memory tasks. The parietal cortex is thought to store the memories. However, the role of the dorsolateral prefrontal cortex, a top-down control area, during pure information retention is debated, and the mechanisms regulating capacity are unknown. Here, we propose that a major role of the dorsolateral prefrontal cortex in working memory is to boost parietal memory capacity. Furthermore, we formulate the boosting mechanism computationally in a biophysical cortical microcircuit model and derive a simple, explicit mathematical formula relating memory capacity to prefrontal and parietal model parameters. For physiologically realistic parameter values, lateral inhibition in the parietal cortex limits mnemonic capacity to a maximum of 2–7 items. However, at high loads inhibition can be counteracted by excitatory prefrontal input, thus boosting parietal capacity. Predictions from the model were confirmed in an fMRI study. Our results show that although memories are stored in the parietal cortex, interindividual differences in memory capacity are partly determined by the strength of prefrontal top-down control. The model provides a mechanistic framework for understanding top-down control of working memory and specifies two different contributions of prefrontal and parietal cortex to working memory capacity.
Antipodal communication between students of German in Finland and in New Zealand via Facebook

This reflective practice paper presents an excerpt of the outcome of a telecollaboration project between two tertiary institutions in New Zealand and Finland. Twenty-six intermediate students of German in the two countries used a Facebook-group to write about given topics which were part of their final assessment. The posts were a combination of video uploads, audio recordings, and writing which is in line with the multimodal meaning-making theory (Kress & van Leeuwen, 2001). The task design was guided by O’Dowd and Ware’s (2009) three-layer approach design. The study investigates how students perceive the collaboration using the Facebook group and how the multimodal approach helps the students to develop their digital literacies. The data collected for the study included a mixedmethods approach with preand post-questionnaires, semi-structured interviews and Facebook logs. Results show that students learned more about each others’ culture and improved their German at the same time.