Stability enhancement of polypyrrole thin film ammonia sensor by camphor sulfonic acid dopant

Journal of Materials Science: Materials in Electronics - The main weakness of polymer gas sensors is its stability. Here, we report stability enhancement of a 100 nm polypyrrole (PPy) thin...     

Incremental Composition in Distributional Semantics

Journal of Logic, Language and Information - Despite the incremental nature of Dynamic Syntax (DS), the semantic grounding of it remains that of predicate logic, itself grounded in set theory, so...     

Immobilization of palladium on benzimidazole functionalized mesoporous silica nanoparticles: catalytic efficacy in Suzuki–Miyaura reaction and nitroarenes reduction

Journal of Porous Materials - Benzimidazole functionalized mesoporous silica nanoparticles immobilized Pd(0)/Pd(II) has been proposed as an efficient catalyst for the one-pot preparation of biaryls...     

RTDGPS Accuracy Improvement Using PSO-LSWSVM and Low-Cost GPS Receivers

Wireless Personal Communications - The position of mobile devices is determined by Real Time Differential Global Positioning System (RTDGPS). This system is composed of fixed and mobile station....     

Salient Object Subitizing

We study the problem of salient object subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the ability of people to quickly and accurately identify the number of items within the subitizing range (1–4). To this end, we present a salient object subitizing image dataset of about 14 K everyday images which are annotated using an online crowdsourcing marketplace. We show that using an end-to-end trained convolutional neural network (CNN) model, we achieve prediction accuracy comparable to human performance in identifying images with zero or one salient object. For images with multiple salient objects, our model also provides significantly better than chance performance without requiring any localization process. Moreover, we propose a method to improve the training of the CNN subitizing model by leveraging synthetic images. In experiments, we demonstrate the accuracy and generalizability of our CNN subitizing model and its applications in salient object detection and image retrieval.     

Solvent effect in phase separation for fabrication of micropatterned porous scaffold sheets

Cellular orientation control is important for tissue regeneration. Design of oriented structures for cells with suitable features can be used in tissue engineering. One of the methods of cellular orientation with the aim of regenerating which damaged tissues is utilizing oriented biocompatible substrates. This paper reports a one-step method with different solvents to fabricate porous micropatterned polyhydroxybutyrate scaffold sheets. The results indicated that the porosity and pore morphology of the scaffolds are viable with respect to proliferation rate, and a micropattern for cell alignment. Stem cells culturing proved that the scaffold sheets are suitable for cell culturing. Preliminary experiments indicate that the 2-D scaffold sheets are very promising as basis for building 3-D scaffolds.     

Semantic Vector Models and Functional Models for Pregroup Grammars

We show that vector space semantics and functional semantics in two-sorted first order logic are equivalent for pregroup grammars. We present an algorithm that translates functional expressions to vector expressions and vice-versa. The semantics is compositional, variable free and invariant under change of order or multiplicity. It includes the semantic vector models of Information Retrieval Systems and has an interior logic admitting a comprehension schema. A sentence is true in the interior logic if and only if the ‘usual’ first order formula translating the sentence holds. The examples include negation, universal quantifiers and relative pronouns.     

A normal intensity level of psycho-physiological stress can benefit working memory performance at high load

In recent years, the effects of stress on adaptation and human performance have received considerable attention in medical literature and in occupational fields. In this study, we employed an acute psycho-physiological laboratory stressor, which is similar to real life stressful conditions and is capable of reliably eliciting the normal range of stress effects. The primary goal of the present study was to investigate whether the effect of stress on working memory performance depends on the number of images that need to be maintained (memory load), and the duration of the retention interval. By manipulating the number of images and the length of the retention interval of the modified Stenberg working memory test, we altered the task difficulty and examined the consequent effects on behavior. Twelve young students were submitted to a stressful condition one day and a control condition on another day. The stressor used included a physiological factor (socially evaluated cold pressor test) and a psychosocial factor (modified version of trier social stress test). The sympathetic nervous system and hypothalamic–pituitary–adrenal axis activation were assessed by heart rate and salivary cortisol. It was found that this procedure, which involves exposure to a normal intensity level of psycho-physiological stress, can demonstrate the beneficial effect of stress on reaction time without decreasing accuracy at high memory loads, but not at low memory loads.