Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Effects of an Anthropomorphic Help Agent: Humans versus Computers

The purpose of this study was to examine perceptions of fairness of a computer-administered quiz as a function of the anthropomorphic features of the help agent offered within the quiz environment. The addition of simple anthropomorphic cues to a computer help agent reduced the perceived friendliness of the agent, perceived intelligence of the agent, and the perceived fairness of the quiz. These differences were observed only for male anthropomorphic cues, but not for female anthropomorphic cues. The results were not explained by the social attraction of the anthropomorphic agents used in the quiz or by gender identification with the agents. Priming of visual cues provides the best account of the data. Practical implications of the study are discussed.
On the evaluation of AS relationship inferences [Internet reachability/traffic flow applications]

The commercial contractual relationship among autonomous systems (ASs) is important for understanding the reachability and traffic flow in the Internet. Several heuristic algorithms have been proposed for inferring AS relationships by extracting information from border gateway protocol (BGP) routing tables. However, there is no evaluation of the AS relationships inferred from existing algorithms. In this paper, we present the methodology for obtaining partial AS relationships, and use them to evaluate these algorithms. Our result shows that although existing algorithms achieve good overall accuracy, the accuracy on the peer-to-peer relationships is quite poor. Furthermore, we propose an algorithm for inferring AS relationships by taking advantage of this partial information. We show that our proposed algorithm outperforms existing algorithms for inferring peer-to-peer relationships by 1.8/spl sim/3.8 times in accuracy. In addition, the overall accuracy of our algorithm is higher than that of existing algorithms.
Surface Strain Redistribution on Structured Microfibers to Enhance Sensitivity of Fiber‐Shaped Stretchable Strain Sensors

Fiber‐shaped stretchable strain sensors with small testing areas can be directly woven into textiles. This paves the way for the design of integrated wearable devices capable of obtaining real‐time mechanical feedback for various applications. However, for a simple fiber that undergoes uniform strain distribution during deformation, it is still a big challenge to obtain high sensitivity. Herein, a new strategy, surface strain redistribution, is reported to significantly enhance the sensitivity of fiber‐shaped stretchable strain sensors. A new method of transient thermal curing is used to achieve the large‐scale fabrication of modified elastic microfibers with intrinsic microbeads. The proposed strategy is independent of the active materials utilized and can be universally applied for various active materials. The strategy used here will shift the vision of the sensitivity enhancement method from the active materials design to the mechanical design of the elastic substrate, and the proposed strategy can also be applied to nonfiber‐shaped stretchable strain sensors.
Multi-disciplinary integrated design automation tool for automotive cyber-physical systems

This paper presents our multi-year experience in the development of a Functional Modeling Compiler (FMC), a new model-based design tool for the development of multi-disciplinary automotive cyber-physical systems. We show how system-level simulation models suitable for design-space exploration of complex architectures can be synthesized from functional specifications to test and validate the interactions between ECUs, control algorithms, and the multi-physics.
MiR-34a/c-Dependent PDGFR-α/β Downregulation Inhibits Tumorigenesis and Enhances TRAIL-Induced Apoptosis in Lung Cancer

Lung cancer is the leading cause of cancer mortality in the world today. Although some advances in lung cancer therapy have been made, patient survival is still poor. MicroRNAs (miRNAs) can act as oncogenes or tumor-suppressor genes in human malignancy. The miR-34 family consists of tumor-suppressive miRNAs, and its reduced expression has been reported in various cancers, including non-small cell lung cancer (NSCLC). In this study, we found that miR-34a and miR-34c target platelet-derived growth factor receptor alpha and beta (PDGFR-α and PDGFR-β), cell surface tyrosine kinase receptors that induce proliferation, migration and invasion in cancer. MiR-34a and miR-34c were downregulated in lung tumors compared to normal tissues. Moreover, we identified an inverse correlation between PDGFR-α/β and miR-34a/c expression in lung tumor samples. Finally, miR-34a/c overexpression or downregulation of PDGFR-α/β by siRNAs, strongly augmented the response to TNF-related apoptosis inducing ligand (TRAIL) while reducing migratory and invasive capacity of NSCLC cells.
Golden-coded index coding

We study the problem of constructing good spacetime codes for broadcasting K independent messages over a MIMO network to L users, where each user demands all the messages and already has a subset of messages as side information. As a first attempt, we consider the 2 × 2 case and propose golden-coded index coding by partitioning the golden codes into K subcodes, one for each message. The proposed scheme is shown to have the property that for any side information configuration, the minimum determinant of the code increases exponentially with the amount of information contained in the side information.
Synthesizing dialogue speech of Japanese based on the quantitative analysis of prosodic features

Through analyses of the fundamental frequency contours and speech rates of dialogue speech and also of read speech, prosodic rules were derived for the synthesis of spoken dialogue. The fundamental frequency contours were first decomposed into phrase and accent components based on the superpositional model, and then their command magnitudes/amplitudes were analyzed by the method of multiple regression analysis. For the speech rate, the reduction rate of mora duration from reading-style to dialogue-style was calculated. After normalizing the sentence length, the mean reduction rate was calculated as an average over utterances without a complicated syntactic structure. The results of the above analyses were incorporated into prosodic rules for dialogue speech synthesis. Using a previously-developed formant speech synthesiser, synthesis was conducted using both the former rules of read speech and the newly developed rules. A hearing test showed that the new rules can produce better prosody as dialogue speech.
Minijets and the two-body parton correlation

A large number of double parton scatterings have been recently observed by the CDF collaboration. The double parton scattering process measures {sigma}{sub eff}, a nonperturbative quantity related to the hadronic transverse size and with the dimensions of a cross section. The actual value measured by the CDF collaboration is considerably smaller as compared with the naive expectation, namely, the value of the inelastic nondiffractive cross section. The small value of {sigma}{sub eff} may be an effect of the hadron structure in the transverse plane. We discuss the problem by taking into account, at all orders, the two-body parton correlations in the many-body parton distributions. {copyright} {ital 1997} {ital The American Physical Society}
Role of Inflammation and the Angiotensin Type 2 Receptor in the Regulation of Arterial Pressure During Pregnancy in Mice

During normal pregnancy the renin–angiotensin system is activated, yet pregnant women are resistant to the pressor effects of angiotensin II. Our aim was to determine the role of the angiotensin type 2 receptor (AT2R) in the regulation of arterial pressure, natriuresis, and immune cell infiltration during pregnancy. Mean arterial pressure was measured via telemetry, and flow cytometry was used to enumerate immune cell infiltration in 14-week-old wild-type and AT2R knockout mice during gestation. In wild-type mice, mean arterial pressure decreased during gestation, reaching a nadir at gestational day 9 (–6±2 mm Hg) and returned to near preconception levels during late gestation. In AT2R-deficient mice, the midgestational decrease in mean arterial pressure was absent. Furthermore, mean arterial pressure was significantly increased during late gestation compared with wild-type mice (≈10 mm Hg). As expected, circulating immune cell activation was suppressed during pregnancy. However, this response was absent in AT2R-deficient mice. While renal immune cell infiltration was similar between the genotypes, there was a significant T cell phenotypic switch toward a proinflammatory T-helper 1 phenotype in AT2R-deficient mice. These data indicate that the AT2R plays an important role in arterial pressure regulation and may modulate T cell activation and renal cytokine production during pregnancy. Therefore, deficits in AT2R expression may contribute to pregnancy-induced hypertension and thus represents a potential therapeutic target.
Maximum Power Point Tracking of a Photovoltaic System using a Fuzzy Logic Controller on DC/DC Boost Converter

The solar photovoltaic power has received great attention and experienced impressive progress the countries all over the world in recent years because of more and more serious energy crisis and environmental pollution. Due to scarcity of fossil fuel and increasing demand of power supply, we are forced to utilize the renewable energy resources. Considering easy availability and vast potential, world has turned to solar photovoltaic energy to meet out its ever increasing energy demand. The mathematical modelling and simulation of the photovoltaic system is implemented in the MATLAB/Simulink environment and the same thing is tested and validated using Artificial Intelligent [1]. This paper proposes an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and solar radiation conditions. This method uses a fuzzy logic controller applied to a DC-DC boost converter device. A photovoltaic system including a solar panel, a DC-DC converter, a Fuzzy MPP tracker and a resistive load is modeled and simulated. Finally performance comparison between fuzzy logic controller and Perturb and Observe method has been carried out which has shown the effectiveness of fuzzy logic controller to draw much energy and fast response against change in working conditions.