JRF-E: using model checking to give advice on eliminating memory model-related bugs

According to modern relaxed memory models, programs that contain data races need not be sequentially consistent. Executions that are not sequentially consistent may exhibit surprising behavior such as operations on a thread occurring in a different order than indicated by the source code, or different threads having inconsistent views of updates of shared variables. Java Racefinder (JRF) is an extension of Java Pathfinder (JPF), a model checker for Java bytecode. JRF precisely detects data races as defined by the Java memory model and can thus be used to verify sequential consistency. We describe an extension to JRF, JRF-Eliminator (JRF-E), that analyzes information collected during model checking, specifically counterexample traces and acquiring histories, and provides advice to the programmer on how to eliminate detected data races from a program. Once data races have been eliminated, standard model checking and other verification techniques that implicitly assume sequential consistency can be soundly employed to verify additional properties.     

A symbolic manipulator for automated verification of reactive systems with heterogeneous data types

In this paper, we present the design and implementation of the Composite Symbolic Library, a symbolic manipulator for model checking systems with heterogeneous data types. Our tool provides a common interface for different symbolic representations, such as BDDs, for representing Boolean logic formulas and polyhedral representations for linear arithmetic formulas. Based on this common interface, these data structures are combined using a disjunctive composite representation. We propose several heuristics for efficient manipulation of this composite representation and present experimental results that demonstrate their performance. We used an object-oriented design to implement the Composite Symbolic Library. We imported the CUDD library (a BDD library) and the Omega Library (a linear arithmetic constraint manipulator that uses polyhedral representations) to our tool by writing wrappers around them which conform to our symbolic representation interface. Our tool supports polymorphic verification procedures which dynamically select symbolic representations based on the input specification. Our symbolic representation library can be used as an interface between different symbolic libraries, model checkers, and specification languages. We expect our tool to be useful in integrating different tools and techniques for symbolic model checking, and in comparing their performance.     

Thermal decomposition behavior of tobacco stem Part I: TGA–FTIR–MS analysis

In the present study, the thermal degradation behavior of tobacco stem was examined by means of a thermogravimetric analyzer (TGA) under nitrogen atmosphere at temperature range of 25–1,000°C. The TG curve indicated that the pyrolysis process of tobacco included three zones, and main pyrolysis occurred in the second zone by means of the decomposition of hemicellulose, cellulose, and lignin in a temperature range of 180–540°C. Furthermore, the gases evolved during the degradation were analyzed simultaneously via TGA coupled with a Fourier transform infrared spectrometer (FTIR) and mass spectrometer (MS). Carbon dioxide, methane, water, formaldehyde, and propanal were the main volatiles detected via MS and confirmed by FTIR.     

Inflammatory Molecules Associated with Ultraviolet Radiation-Mediated Skin Aging

Skin is the largest and most complex organ in the human body comprised of multiple layers with different types of cells. Different kinds of environmental stressors, for example, ultraviolet radiation (UVR), temperature, air pollutants, smoking, and diet, accelerate skin aging by stimulating inflammatory molecules. Skin aging caused by UVR is characterized by loss of elasticity, fine lines, wrinkles, reduced epidermal and dermal components, increased epidermal permeability, delayed wound healing, and approximately 90% of skin aging. These external factors can cause aging through reactive oxygen species (ROS)-mediated inflammation, as well as aged skin is a source of circulatory inflammatory molecules which accelerate skin aging and cause aging-related diseases. This review article focuses on the inflammatory pathways associated with UVR-mediated skin aging.     

The characterization and polymorphism of α-Glycine in the presence of butyric acid

The present study aims to investigate the effect of butyric acid used as an additive and its concentration ranging between 50?ppm and 250?ppm during the polymorphic phase transformation of β-glycine to α-glycine. Analysis includes a continuous measurement of the ultrasonic velocity and periodically the X-ray diffraction (XRD) pattern. Morphological characterization shows that the α-glycine crystals obtained in pure media are smooth, prismatic shapes, and that butyric acid plays a major role in crystal shape change. SEM imaging and morphology analysis indicates that the presence of butyric acid to media results in shorter, rounded and aggregated crystals. Further analyses of Fourier Transform Infrared Spectroscopy (FTIR), zeta potential measurements, and elemental analysis reveals that butyric acid adsorbs on the crystals’ surface and changes both the surface charge and the elemental composition of the crystals obtained. In addition, thermal decomposition behaviors of the crystals are investigated and the obtained data is modeled using the thermal decomposition kinetic models of FWO, KAS, and Tang. Based on the data of the FWO kinetic model, the average activation energy of the crystals obtained in butyric acid media is calculated as 118.8?±?17.0?kJ/mol, which is higher than that of crystals obtained in pure media.     

Characterization of reactively compatibilized poly(d,l-lactide)/poly(ε-caprolactone) biodegradable blends by essential work of fracture method

In this work biodegradable blends of poly(d,l-lactide) and poly(ε-caprolactone) were studied. The weight fraction of poly(ε-caprolactone) was varied between 0 and 100%. The originally immiscible blends were compatibilized with l-lysine-diisocyanate and l-lysine-triisocyanate, respectively, to increase the fracture toughness of materials and maintain their biocompatibility. The blend morphology was characterized by scanning electron microscopy and differential scanning calorimetry. The fracture properties of blends were analyzed by the essential work of fracture method.     

Interactions Among Elaborative Interrogation, Knowledge, and Interest in the Process of Constructing Knowledge From Text.

The authors examined the impact of elaborative interrogation on knowledge construction during expository text reading, specifically, the interactions among elaborative interrogation, knowledge, and interest. Three measures of learning were taken: recall, inference, and coherence. Elaborative interrogation affected all aspects of learning measured, with a significant interaction between elaborative interrogation and interest with regard to inference. The experimental effect on the measure of inference was larger for the students who had less interest than for the students who had more interest. There was also an interaction effect between knowledge and elaborative interrogation for coherence. The experimental effect on coherence was higher for students who had less knowledge than students who had more knowledge. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The characterization and differentiation of higher plants by fourier transform infrared spectroscopy

Several techniques have been used to identify and classify plants. We proposed Fourier transform infrared (FT-IR) spectroscopy, together with hierarchical cluster analysis, as a rapid and noninvasive technique to differentiate plants based on their leaf fragments. We applied this technique to three different genera, namely, Ranunculus (Ranunculaceae), Acantholimon (Plumbaginaceae), and Astragalus (Leguminoseae). All of these genera are angiosperms and include a large number of species in Turkey. Ranunculus and Acantholimon have ornamental importance, while Astragalus is an important pharmaceutical genus. The FT-IR spectra revealed dramatic differences, which indicated the variations in lipid metabolism, carbohydrate composition, and protein conformation of the genera. Moreover, cell wall polysaccharides including diverse groups could be identified for each genus. Acantholimon was found to have the highest hydrogen capacity in its polysaccharide and proteins. A higher lignin content and a lower occurrence of decarboxylation and pectin esterification reactions were appointed for Ranunculus and Astragalus compared to Acantholimon. All these results suggested that FT-IR spectroscopy can be successfully applied to differentiate genera, as demonstrated here with Ranunculus, Astragalus, and Acantholimon. In addition, we used this technique to identify the same species from different geographical regions. In conclusion, the current FT-IR study presents a novel method for rapid and accurate molecular characterization and identification of plants based on the compositional and structural differences in their macromolecules.