Miracle-dz/UniFAR-FTUs huggingface dataset:
Controllable Molecular Packing Motif and Overlap Type in Organic Nanomaterials for Advanced Optical Properties

The optical properties of organic materials are very sensitive to subtle structural modification, and a proper understanding of the structure-property relationship is essential to improve the performance of organic electronic devices. The phase transitions of the η-CuPc to the α-CuPc, then to the β-CuPc were investigated using In situ X-ray diffraction and the differential scanning calorimetry (DSC). The five stages in the phase-transition process from low to high-temperature were observed, which consisted of (1) the η-CuPc; (2) a mixture of the η- and α-CuPc; (3) a mixture of the η-, α- and β-CuPc; (4) a mixture of the α- and β-CuPc; and (5) the β-CuPc. The vibrational and optical properties at different phase-transition stages were correlated to molecular packing motif and molecule overlap type through systematic analyses of the Fourier–transform infrared, Raman and UV-VIS spectra. Moreover, the mechanism for the morphology evolution was also discussed in detail.
THE PROSODY OF SINTATICALLY AMBIGUOUS SENTENCES IN BRAZILIAN PORTUGUESE : LENGTHENING CUES 1

• ABSTRACT: Using syntactically ambiguous sentences involving local and non-local readings, this paper investigates the role of duration effects as cues to prosodic mapping in Brazilian Portuguese (henceforth BP). Based on Nespor and Vogel’s (1986) prosodic theory, we aim to discuss whether BP speakers differentiate the readings by making a syllable longer according to the prosodic domain of the intended meaning. We carried out a comparative experiment on the production of 9 NP1-V-NP2-Attribute sentences by 30 BP speakers, in which one interpretation leads to a phonological phrase boundary between NP2 and the Attribute, while the other interpretation does not. The results have not shown a relevant statistical difference in lengthening when only the readings were considered, but have indicated a strong correlation between each interpretation and individual speakers. In addition, in all significant cases, the duration was longer when the attribute was related to NP1, that is, when there was a phonological phrase boundary inserted between NP2 and the Attribute.
Summary health statistics for the U.S. population: National Health Interview Survey, 2012.

OBJECTIVES This report presents both age-adjusted and unadjusted health statistics from the 2012 National Health Interview Survey (NHIS) for the civilian noninstitutionalized population of the United States. Estimates are disaggregated by sex, age, race, Hispanic origin, education, family income, poverty status, health insurance coverage (where appropriate), place of residence, and region of residence. The topics covered are respondent-assessed health status, limitations in activities, injury and poisoning episodes, health care access and utilization, and health insurance coverage. DATA SOURCE NHIS is a household, multistage probability sample survey conducted annually by interviewers of the U.S. Census Bureau for the Centers for Disease Control and Prevention's National Center for Health Statistics. In 2012, household interviews were completed for 108,131 persons living in 42,366 households. SELECTED HIGHLIGHTS Nearly 7 in 10 persons were in excellent or very good health in 2012. About 40 million persons (12%) were limited in their usual activities due to one or more chronic health conditions. About 5 million persons (2%) required the help of another person with activities of daily living, and about 10 million persons (4%) required the help of another person with instrumental activities of daily living. Among persons under age 65, about 45 million (17%) did not have any health insurance coverage. The most common reason for lacking health insurance was cost, followed by a change in employment.
Avoiding Catastrophic Forgetting by a Dual-Network Memory Model Using a Chaotic Neural Network

In neural networks, when new patterns are learned by a network, the new information radically interferes with previously stored patterns. This drawback is called catastrophic forgetting or catastrophic interference. In this paper, we propose a biologically inspired neural network model which overcomes this problem. The proposed model consists of two distinct networks: one is a Hopfield type of chaotic associative memory and the other is a multilayer neural network. We consider that these networks correspond to the hippocampus and the neocortex of the brain, respectively. Information given is firstly stored in the hippocampal network with fast learning algorithm. Then the stored information is recalled by chaotic behavior of each neuron in the hippocampal network. Finally, it is consolidated in the neocortical network by using pseudopatterns. Computer simulation results show that the proposed model has much better ability to avoid catastrophic forgetting in comparison with conventional models. Keywords—catastrophic forgetting, chaotic neural network, complementary learning systems, dual-network.
A coiled coil switch mediates cold sensing by the thermosensory protein DesK

The thermosensor histidine kinase DesK from Bacillus subtilis senses changes in membrane fluidity initiating an adaptive response. Structural changes in DesK have been implicated in transmembrane signaling, but direct evidence is still lacking. On the basis of structure‐guided mutagenesis, we now propose a mechanism of DesK‐mediated signal sensing and transduction. The data indicate that stabilization/destabilization of a 2‐helix coiled coil, which connects the transmembrane sensory domain of DesK to its cytosolic catalytic region, is crucial to control its signaling state. Computational modeling and simulations reveal couplings between protein, water and membrane mechanics. We propose that membrane thickening is the main driving force for signal sensing and that it acts by inducing helix stretching and rotation prompting an asymmetric kinase‐competent state. Overall, the known structural changes of the sensor kinase, as well as further dynamic rearrangements that we now predict, consistently link structure determinants to activity modulation.
Side-Hole Dual-Core Photonic Crystal Fiber for Hydrostatic Pressure Sensing

We propose a novel side-hole dual-core photonic crystal fiber (SHDC-PCF) which is used as the sensing element of the hydrostatic pressure sensor. There are two solid fiber cores separated by one small air hole in the triangular lattice photonic crystal structure region. Two large air holes are employed in the cross-section outside of the photonic crystal structure region, which essentially provides a built-in transducing mechanism to enhance the pressure-induced index change for the SHDC-PCF. The mode coupling between two fiber cores of the SHDC-PCF under different hydrostatic pressure is numerically investigated. The SHDC-PCF based pressure sensor is simply formed by using a segment of SHDC-PCF spliced to two single mode fibers. Our simulations show that there is a linear relationship between the hydrostatic pressure applied on the SHDC-PCF and the peak wavelength shift of the sensor output spectrum. A hydrostatic pressure sensor based on a 10-cm SHDC-PCF has shown a sensing range from 0 to 500 MPa and a sensitivity of 32 pm/MPa. The performances of hydrostatic pressure sensors based on SHDC-PCFs with different structure parameters are presented.
Gender recognition based on face image using reinforced local binary patterns

Gender recognition is a challenging and innovative research topic in the present sophisticated world of visual technology. This study proposes a system which can identify the gender based on face image. For finding the location of the face region, each input image is divided into overlapping blocks and Gabor features are extracted with different scale and orientations. Generate the enhanced feature, concatenate mean, standard deviation and skewness of Gabor features which are obtained from each block. For detecting face region, this feature is passed to ensemble classifier. To recognise the gender, reinforced local binary patterns are used to extract the facial local features. Adaboost algorithm is used to select and classify the discriminative features such as male or female. The authors' experimental results on Labeled Faces in the Wild (LFW), FERET and Gallagher databases for face detection using Gabor features achieve 98, 98.5 and 96.5% accuracy, respectively. Moreover, the reinforced local binary patterns achieve the accuracy for gender classification as 97.08, 98.5 and 94.21% on the LFW, FERET and Gallagher databases, respectively. Both are achieving improved performance compared with other standard methodologies described in the literature.
An Augmented Reality's framework for mobile

This paper describes a framework for the development of Augmented Reality's application in Mobile devices. This framework was developed based on open-source computer vision library (OpenCV) to do real time tracking where marker is detect and track in real environment and 3D graphics API for embedded devices(OpenGL ES) to render virtual object into real world scene. The application developed run self-contained on mobile devices and it successfully run on a lower-end mobile phone. The framework can be easily deployed on mobile platform that support both OpenCV and OpenGL ES library.
Both wound‐inducible and tuber‐specific expression are mediated by the promoter of a single member of the potato proteinase inhibitor II gene family

A chimeric gene consisting of 1.3 kb of the 5′ regulatory region of a member of the potato proteinase inhibitor II gene family, the coding region of the bacterial β‐glucuronidase (GUS) gene and 260 bp of the proteinase inhibitor II 3′‐untranslated region containing the poly(A) addition site was introduced into potato and tobacco by Agrobacterium tumefaciens mediated transformation. Analysis of transgenic plants demonstrates systemic, wound‐inducible expression of this gene in stem and leaves of potato and tobacco. Constitutive expression was found in stolons and tubers of non‐wounded potato plants. Histochemical experiments based on the enzymatic activity of the GUS protein indicate an association of the proteinase inhibitor II promoter activity with vascular tissue in wounded as well as in systemically induced non‐wounded leaves, petioles, potato stems and in developing tubers. These data prove that one single member of the proteinase inhibitor II gene family contains cis‐active elements, which are able to respond to both developmental and environmental signals. Furthermore they support the hypothesis of an inducing signal (previously called proteinase inhibitor inducing factor), which is released at the wound site and subsequently transported to non‐wounded parts of the plant via the vascular system from where it is released to the surrounding tissue.
3-D near field source localization using second order statistics

Passive localization of narrowband sources in the spherical coordinates (azimuth, elevation, and range) is considered. A new method which proceeds in two steps and uses only the second order statistics (SOS) of the observations collected from a centro-symmetric cross-array is introduced. The first step is a signal pre-processing which consists in the computation of some properly chosen spatial correlation sequences of the observed signal. The correlation coefficients are shown to be superimposed exponential sequences and their frequencies are nonlinear functions of azimuths, elevations and the ranges of the source signals. The second step consists in the estimation of the frequency components using the subspace rotation invariance (also known as ESPRIT and matrix pencils) technique. This method, however requires a correct parameter pairing (or eigenvalue association) to achieve a consistent estimation of the signal parameters. Several pairing techniques are considered. The source azimuths, elevations, and ranges are then calculated from the estimated frequency components. The effectiveness of the proposed method is illustrated by some numerical simulations.
Remote 3D-audio Performance with spatialized Distribution

Today's electro-acoustics concert halls are usually equipped with a multi speaker setting. Some of these environments have the ability to play music on an spatialised 3D space including virtual acoustics. For remote performances, a concert in a source place is transmitted to a remote place where the audience is located. The concert's “audio signature” is replicated in the destination. The needed streams over the network should include an abstract description of the sound environment to be interpreted correctly to a different speaker setting in another place. Implementing this scenario we realized the lack of a common streaming technique to realize with a limited number of audio streams and control data to be transmitted. Here we suggest using an Ambisonics approach to stream complex audio environments including extra channels for monitoring, and special audio signals in a time accurate way. The description of the audio signals streamed with metadata use different containers, also storing them in common file formats as PCM-WAV or SDIF. As a proof of concept we implement this on our general purpose production software CUBEMixer, originally designed to be used for performances as spatialisation-system, a 3D-Audio mastering application including additional virtual acoustics in a concert-room. The entire system can be controlled with OSC[10].
Optical measurement of torque exerted on an elongated object by a noncircular laser beam

We have developed a scheme to measure the optical torque, exerted by a laser beam on a phase object, by measuring the orbital angular momentum of the transmitted beam. The experiment is a macroscopic simulation of a situation in optical tweezers, as orbital angular momentum has been widely used to apply torque to microscopic objects. A hologram designed to generate LG02 modes and a CCD camera are used to detect the orbital component of the beam. Experimental results agree with theoretical numerical calculations, and the strength of the orbital component suggest its usefulness in optical tweezers for micromanipulation.
Transmit Side Information Assisted User Cooperation for Multiple-Antenna Wireless Networks

User/node cooperation has recently been receiving much attention especially in wireless sensor networks. It is shown that spatial diversity can be achieved even in a single-antenna system by exploiting the underlying virtual antenna array structure of multiple users/nodes. So far, much work has been devoted to single-antenna networks with only the channel state information at the receivers (CSIR). Motivated by the increasing importance of time division duplex (TDD) operation for future generation systems where channel state information is also available at the transmitter (CSIT), we consider CSIT-assisted user cooperation. Nevertheless, a constraint of limited capacity for control messages exchange among cooperating nodes is imposed, which is particularly true for a large cooperating group. In this paper, we further relax the constraint of a single antenna to an arbitrary number for all nodes. A simple and efficient cooperation protocol is proposed and analyzed for enhancing the transmission link quality
Cloning, mapping and expression analysis of VPS33B, the human orthologue of rat Vps33b

We have identified VPS33B, the human ortholog of rat Vps33b. VPS33B encodes a transcript of 2482 nt with an ORF of 617 amino acids and a predicted protein size of 70.6 kDa. VPS33B contains a Sec-1 domain shared with a family of proteins involved in protein sorting and vesicular trafficking. Enriched expression of VPS33B was observed in testis. VPS33B was positioned at chromosome 15q26.1 by radiation hybrid mapping.
Effect of Pig Iron Slag Particles on Soil Physico-Chemical, Biological and Enzyme Activities

The effect of pig iron slag particles on soil physico-chemical, biological and certain soil enzyme properties was studied. Contamination of iron slag particles altered physico-chemical, biological and enzyme properties of soil. While soil pH increased slightly, electrical conductivity, carbon, potassium and phosphorus contents increased significantly in polluted soil. Contamination of soil with pig iron slag caused drastic reduction in microbial population. Similarly, enzyme activities such as dehydrogenase and protease were ceased three fold in polluted soil when compared to the control.
Technology Adoption in Online Communities

The dynamics of technology adoption in real-world social networks have been well documented. However, technology adoption in online communities remains relatively under-explored. In this study, we propose a framework to investigate the dynamics of technology adoption in online communities using behavioral-link data from an open source software development community. Our study complements prior research by building network measures relevant for an online community based on collaboration history data. By addressing the issues of causality and individual heterogeneity between network structure and adoption behavior, we demonstrate a clearer relationship between social networks and technology adoption. We also identify salient differences between real-world and online social networks regarding technology adoption.
The In Vivo Cytokine Capture Assay for Measurement of Cytokine Production in the Mouse

Because most cytokines are utilized, catabolized, or excreted shortly after they are produced, it has been difficult to directly measure in vivo cytokine production. Consequently, it has been necessary to infer in vivo cytokine secretion levels from the results of ex vivo assays of cytokine secretion, assays that measure tissue levels of cytokine mRNA, or assays that stain tissues for cytokine protein levels. Results of these assays provide important and useful information, but do not necessarily reflect in vivo cytokine secretion. To better determine in vivo cytokine production, the in vivo cytokine capture assay (IVCCA) was developed. IVCCA facilitates measurement of cytokines in serum by increasing their in vivo half‐lives. This increases the sensitivity of measurement of in vivo cytokine production 30‐ to 1,000‐fold. The first protocol described in this unit is for luminescence‐based ELISA, while the second is for an absorbance‐based method.
Pathology and Pathophysiology of Atherothrombosis: Virchow's Triad Revisited

In 1856, Rudolf Virchow published “Cellular pathology” based on macroscopic and microscopic observation of diseases, and described a triad of factors on thrombosis. The three components were vascular change, blood flow alteration, and abnormalities of blood constituents. Although Virchow originally referred to venous thrombosis, the theory can also be applied to arterial thrombosis, and it is considered that atherothrombus formation is regulated by the thrombogenicity of exposed plaque contents, local hemorheology, and blood factors. Thrombus formation on a disrupted atherosclerotic plaque is a critical event that leads to atherothrombosis. However, it does not always result in complete thrombotic occlusion with subsequent acute symptomatic events (Sato et al., 2009). Therefore, thrombus growth is also critical to the onset of clinical events. In spite of intensive investigation on the mechanisms of thrombus formation, little is known about the mechanisms involved in thrombogenesis or thrombus growth after plaque disruption, because thrombus is assessed with chemical or physical injury of “normal” arteries in most animal models of thrombosis.
A fast method based on multiple clustering for name disambiguation in bibliographic citations

Name ambiguity in the context of bibliographic citation affects the quality of services in digital libraries. Previous methods are not widely applied in practice because of their high computational complexity and their strong dependency on excessive attributes, such as institutional affiliation, research area, address, etc., which are difficult to obtain in practice. To solve this problem, we propose a novel coarse‐to‐fine framework for name disambiguation which sequentially employs 3 common and easily accessible attributes (i.e., coauthor name, article title, and publication venue). Our proposed framework is based on multiple clustering and consists of 3 steps: (a) clustering articles by coauthorship and obtaining rough clusters, that is fragments; (b) clustering fragments obtained in step 1 by title information and getting bigger fragments; (c) and clustering fragments obtained in step 2 by the latent relations among venues. Experimental results on a Digital Bibliography and Library Project (DBLP) data set show that our method outperforms the existing state‐of‐the‐art methods by 2.4% to 22.7% on the average pairwise F1 score and is 10 to 100 times faster in terms of execution time.
Human hand recognition system

Human hand recognition is a practical problem in pattern recognition for restricted access environment. The methodology of shape analysis, a conventional method for object identification, has been studied in this paper for human hand recognition. The idea behind the chosen approach is to consider human hand as an object of definite rigid shape, extract its boundary and shape parameters as recognition features. Shape analysis requires the extraction of object features, often normalized and invariant to various geometric change such as translation, rotation and scale. In the human hand recognition system three different views at different orientations of the same hand were taken with the help of PULNIX CCD camera. The digital image of hand has been analyzed using Fourier descriptors and various moment invariants.
Correlates of Early Adolescent Friend Choice Order in a Colombian Sample: Interactions between Friend, Individual, and Contextual Prosocial Behavior and Aggression

How early adolescents characterize their friendships has yet to be fully explored. The current report examines this issue from two different models of friend selection (the similarity model vs. the features model). Friendship choice order was examined as a function of prosocial and aggressive behavior of the friend. Using multi-level modeling, we tested whether these associations differed based on the individual's prosocial and aggressive behavior. Finally, contextual variables such as individualism and collectivism were also used to explain same-sex peer group differences. Data was collected from 420 early adolescents (Mage = 9.49 years, SD = .67; 124 male, 296 female) from six all-girls classes and six mixed-sex classes from Bogota, Colombia. Interactions between friend and individual prosocial behavior and aggression were observed. In sum, the results provided support for both the similarity model and the features model of friendship and contextual differences were observed as a function of peer group .
ATCEEC: A new energy efficient routing protocol for Wireless Sensor Networks

In this paper, we propose an Application-aware Threshold-based Centralized Energy Efficient Clustering (ATCEEC) protocol for routing in Wireless Sensor Networks (WSNs). The proposed protocol assumes that each wireless sensor (node) is capable of sensing two types of environmental dynamics; temperature and humidity. Operation of ATCEEC is based on an advanced central control algorithm, where, Base Station (BS) is responsible for the selection of Cluster Heads (CHs). This selection is carried out on the bases of nodes' residual energy, average energy of the network, and relative distance between nodes and BS. ATCEEC achieves significant stability, extended network lifetime and better control over the network operation. Our hybrid protocol is suitable for both proactive and reactive networks. Simulation results show that ATCEEC yields maximum network lifetime and stability period as compared to the selected protocols.