Increasing surface area of silica nanoparticles with a rough surface

The silica nanoparticles with a rough surface were developed using a silane precursor in a reverse microemulsion followed by a drying treatment. The surface roughness of the nanoparticles was adjustable by changing the amount of the precursor. Within a certain range, the roughness increased as the amount of the silane precursor increased. The rough surface provided a larger surface area than the smooth one. The produced nanoparticles were characterized using the transmission electron microscopy, ultraviolet-visible spectroscopy, energy-dispersive X-ray elemental analysis, and Brunauer-Emmet-Teller analysis technique. Additionally, the amount of surface functional amino groups on the nanoparticles was detected using the traditional acid-base titration and the dissociation constant of this functional group was calculated. On the basis of the experimental results, the mechanism of the formation of the rough surface was proposed. Finally, the produced silica nanoparticles were utilized as a carrier for the chemical binding of a near-infrared dye molecule and the adsorption of the gold nanoparticles. The results demonstrated that the rough surface provide the silica nanoparticles with a high capacity of surface chemical and supramolecular reactions.     

Speeding up CRC32C computations with Intel CRC32 instruction

Intel has recently introduced a new instruction, namely CRC32, to address a computational bottleneck in protocols such as ISCSI and RDMA that use CRC32C for data integrity checks. This instruction is designed to accumulate the CRC32C value of a buffer of arbitrary length, by a sequence of invocations that consume consecutive chunks of 8 bytes of the buffer per invocation. This instruction has latency of 3 cycles, and therefore using it serially allows software to process data at the rate of ～2.67 bytes per cycle. We introduce here an alternative algorithm for computing the CRC32C value of a buffer, using the same instruction. This algorithm converts the latency bounded computations to throughput oriented ones, and maximizes the utilization of the pipelined hardware that underlies the instruction, achieving speedup of a factor of almost 3.     

Examining improved experimental designs for wind tunnel testing using Monte Carlo sampling methods

Wind tunnels are used in the design and testing of a wide variety of systems and products. Wind tunnel test campaigns involve a large number of experimental data points, can take a long time to accomplish, and can consume tremendous resources. Design of Experiments is a systematic, statistically based approach to experimental design and analysis that has the potential to improve the efficiency and effectiveness of wind tunnel testing. In Defense Acquisition, wind tunnel testing of aircraft systems may require years of effort to fully characterize the system of interest. We employ data from a fairly large legacy wind tunnel test campaign and compare that data's corresponding response surface to the response surfaces derived from data generated using smaller, statistically motivated experimental design strategies. The comparison is accomplished using a Monte Carlo sampling methodology coupled with a statistical comparison of the system's estimated response surfaces. Initial results suggest a tremendous opportunity to reduce wind tunnel test efforts without losing test information. Published in 2010 by John Wiley & Sons, Ltd.     

Life events, fitness, hardiness, and health: A simultaneous analysis of proposed stress-resistance effects.

The effects of exercise participation, self-perceived fitness level, and dispositional hardiness for promoting stress resistance were examined in a sample of 373 college students. Self-report measures of stressful life experience and recent physical illness were positively correlated, and fitness and hardiness were negatively correlated with illness as expected. Multiple regression analyses indicated that neither fitness nor hardiness provided a stress-moderator effect because neither was found to significantly interact with stress in the prediction of illness scores. Structural equation analyses suggested that hardiness may affect health indirectly by first influencing either the occurrence or subjective interpretation of stressful life events. No direct effect on health was found for exercise participation, although exercise may reduce illness indirectly by improving fitness. Implications for the multivariate modeling of proposed stress-resistance-enhancing effects are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Experimental diagnostics of an avalanche discharge excited HgBr/HgBr2dissociation laser

We have investigated the effects of discharge power and nitrogen partial pressure on small signal gain, fluorescence, and discharge driver efficiency for an avalanche discharge Ne/N2/HgBr2laser. This work helps clarify the role of nitrogen in these lasers, as well as presenting the first experimental evidence for bottlenecking in the HgBr laser. An optimum intrinsic laser efficiency of 2.0 percent is also reported.     

The effect of injected intensity on the spectrum of an HgBr oscillator

We report the first observation of an injection-locked laser oscillator whose bandwidth increases with injected intensity. We have seen this effect in an HgBr oscillator. Measurements of the locked oscillator bandwidth versus injected intensity are presented.     

Crack-like processes governing the onset of frictional slip

We perform real-time measurements of the net contact area between two blocks of like material at the onset of frictional slip. We show that the process of interface detachment, which immediately precedes the inception of frictional sliding, is governed by three different types of detachment fronts. These crack-like detachment fronts differ by both their propagation velocities and by the amount of net contact surface reduction caused by their passage. The most rapid fronts propagate at intersonic velocities but generate a negligible reduction in contact area across the interface. Sub-Rayleigh fronts are crack-like modes which propagate at velocities up to the Rayleigh wave speed, V _R, and give rise to an approximate 10% reduction in net contact area. The most efficient contact area reduction (~20%) is precipitated by the passage of ‘slow detachment fronts’. These fronts propagate at ‘anomalously’ slow velocities, which are over an order of magnitude lower than V _R yet orders of magnitude higher than other characteristic velocity scales such as either slip or loading velocities. Slow fronts are generated, in conjunction with intersonic fronts, by the sudden arrest of sub-Rayleigh fronts. No overall sliding of the interface occurs until either of the slower two fronts traverses the entire interface, and motion at the leading edge of the interface is initiated. Slip at the trailing edge of the interface accompanies the motion of both the slow and sub-Rayleigh fronts. We might expect these modes to be important in both fault nucleation and earthquake dynamics.     

Distributed verification of minimum spanning trees

The problem of verifying a Minimum Spanning Tree (MST) was introduced by Tarjan in a sequential setting. Given a graph and a tree that spans it, the algorithm is required to check whether this tree is an MST. This paper investigates the problem in the distributed setting, where the input is given in a distributed manner, i.e., every node “knows” which of its own emanating edges belong to the tree. Informally, the distributed MST verification problem is the following. Label the vertices of the graph in such a way that for every node, given (its own state and label and) the labels of its neighbors only, the node can detect whether these edges are indeed its MST edges. In this paper, we present such a verification scheme with a maximum label size of O(log n log W), where n is the number of nodes and W is the largest weight of an edge. We also give a matching lower bound of Ω(log n log W) (as long as W > (log n)^1+ε for some fixed ε > 0). Both our bounds improve previously known bounds for the problem. For the related problem of tree sensitivity also presented by Tarjan, our method yields rather efficient schemes for both the distributed and the sequential settings. A preliminary version of this work was presented in ACM PODC 2006. A. Korman was supported in part at the Technion by an Aly Kaufman fellowship. S. Kutten was supported in part by a grant from the Israeli Ministry for Science and Technology.     

Complex Effects of Sertraline and Citalopram on In Vitro Murine Breast Cancer Proliferation and on In Vivo Progression and Anxiety Level

Some selective serotonin reuptake inhibitors (SSRIs), primarily sertraline, demonstrate anti-proliferative activity in malignant cell-lines and in xenografted mouse models of colorectal tumor. There is, however, a paucity of comparative studies on the anti-tumor effects of SSRIs. We compared the in vitro and in vivo effects of sertraline and citalopram on murine 4T1 breast cancer. Grafted mice were used to determine the rate of tumor growth and survival as well as the impact of stress and antidepressant treatment on tumor progression and mortality and on pro-inflammatory cytokines. Sertraline, in the micromolar range, but not citalopram, induced a significant in vitro concentration-dependent inhibition of murine 4T1 cell proliferation and splenocyte viability. In contrast, sertraline (10 mg/kg/d), enhanced in vivo tumor growth. Contrary to the study’s hypothesis, chronic mild stress did not modify tumor growth in grafted mice. The in vitro effects of sertraline on tumor growth seem to be the opposite of its in vivo effects. The impact of sertraline treatment on humans with breast cancer should be further investigated.     

LPS-Induced Coagulation and Neuronal Damage in a Mice Model Is Attenuated by Enoxaparin

Background. Due to the interactions between neuroinflammation and coagulation, the neural effects of lipopolysaccharide (LPS)-induced inflammation (1 mg/kg, intraperitoneal (IP), n = 20) and treatment with the anti-thrombotic enoxaparin (1 mg/kg, IP, 15 min, and 12 h following LPS, n = 20) were studied in C57BL/6J mice. Methods. One week after LPS injection, sensory, motor, and cognitive functions were assessed by a hot plate, rotarod, open field test (OFT), and Y-maze. Thrombin activity was measured with a fluorometric assay; hippocampal mRNA expression of coagulation and inflammation factors were measured by real-time-PCR; and serum neurofilament-light-chain (NfL), and tumor necrosis factor-α (TNF-α) were measured by a single-molecule array (Simoa) assay. Results. Reduced crossing center frequency was observed in both LPS groups in the OFT (p = 0.02), along with a minor motor deficit between controls and LPS indicated by the rotarod (p = 0.057). Increased hippocampal thrombin activity (p = 0.038) and protease-activated receptor 1 (PAR1) mRNA (p = 0.01) were measured in LPS compared to controls, but not in enoxaparin LPS-treated mice (p = 0.4, p = 0.9, respectively). Serum NfL and TNF-α levels were elevated in LPS mice (p < 0.05) and normalized by enoxaparin treatment. Conclusions. These results indicate that inflammation, coagulation, neuronal damage, and behavior are linked and may regulate each other, suggesting another pharmacological mechanism for intervention in neuroinflammation.