Chemistry of carbon nanotubes

Judicious application of site-selective reactions to non-aligned and aligned carbon nanotubes has opened a rich field of carbon nanotube chemistry. In order to meet specific requirements demanded by particular applications (e.g. biocompatibility for nanotube biosensors and interfacial strength for blending with polymers), chemical modification of carbon nanotubes is essential. The tips of carbon nanotubes are more reactive than their sidewalls, allowing a variety of chemical reagents to be attached at the nanotube tips. Recently, some interesting reactions have also been devised for chemical modification of both the inner and outer nanotube walls, though the seamless arrangement of hexagon rings renders the sidewalls relatively unreactive. This review provides a brief summary of very recent progress in the research on chemistry of carbon nanotubes.

Analyzing inconsistency toward enhancing integration of biological molecular databases

The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis approaches such as data mining, information retrieval and machine learning have been used to extract frequent patterns from diverse biological databases. However, the discrepancies, due to the differences in the structure of databases and their terminologies, result in a significant lack of interoperability. Although ontology-based approaches have been used to integrate biological databases, the inconsistent analysis of biological databases has been greatly disregarded. This paper presents a method by which to measure the degree of inconsistency between biological databases. It not only presents a guideline for correct and efficient database integration, but also exposes high quality data for data mining and knowledge discovery.

Dynamic reconfiguration of multi-agent systems based on autonomy oriented computing

Dynamic reconfiguration has been listed as one of the key challenges in support of agent adaptation to environments, which has attracted much attention of researchers world wide. To tackle this tough problem, an agent-based dynamic reconfiguration model (ADRM) is proposed from the autonomy-oriented computing (AOC) point of view. The ERA (environment-reactive rules-agents) algorithm used in AOC is improved to support the organization formation behavior, which is essential in dynamic reconfiguration. To test the efficiency of this model and the effectiveness of different reactive behaviors, the performance of this model was investigated under different selection probabilities.

Multi-agent based supply chain management with dynamic reconfiguration capability

Supply chain management (SCM) has received increased attention in a globally challenging environment as companies face the necessity to improve customer service and maximize profit. Therefore, dynamic reconfiguration capability is vital for supply chain management to respond to changing customer requirements and operating environments. On the other hand, for its flexible and autonomous characteristics, multi-agent systems are a viable technology for SCM, and have been widely applied in SCM. To this end, dynamic reconfiguration in agent-based SCM systems is proposed from autonomy oriented computing point of view. The performance of agent-based SCM with dynamic reconfiguration is evaluated under a modified TAC SCM scenario. With a dynamic reconfigurable SCM system, new products and processes can be introduced with considerably less expense and ramp-up time.

Low-dose metronomic paclitaxel chemotherapy suppresses breast tumors and metastases in mice

This study investigated the use of low-dose metronomic (LDM) chemotherapy with paclitaxel in a highly metastatic mouse model of 4T1 breast cancers, and compared it with the maximum tolerable dose (MTD) therapy. LDM therapy displayed a stronger anti-tumor activity in suppressing primary and metastatic breast tumors with less degree of side effects, and stronger anti-angiogenic and anti-lymphangiogenic activities than MTD therapy. But MTD therapy showed stronger pro-apoptotic and anti-proliferative activities in situ. Paclitaxel therapy downregulated expression of vascular endothelial growth factor receptor-2 (VEGFR2) and up-regulated expression of thrombospondin-1. The results support the application of paclitaxel LDM therapy to treat advanced breast cancer.

Comparative effects of tuna oil and salmon oil on liver lipid metabolism and fatty acid concentrations in rats

The comparative effect of tuna oil (TO) and salmon oil (SO) on the plasma and liver lipid and fatty acid compositions in Sprague Dawley rats was investigated. The total triacylglycerol (TG) and total cholesterol (TC) concentrations in liver was significantly decreased in the TO group; TG level in liver was also significantly decreased in the SO group. The mRNA expression of HMG-CoA reductase in liver was significantly down-regulated in the TO and SO groups relative to the control group. The plasma TG and TC were decreased in TO, but not in SO; plasma low-density lipoprotein and very low-density lipoprotein levels in TO and SO were decreased compared with the control group. The total n-3 polyunsaturated fatty acid (PUFA) in plasma and liver phospholipids was significantly elevated in the TO and SO. Docosahexaenoic acid (22:6n-3) and eicosapentaenoic acid (20:5n-3) in tissues were significantly increased in the TO and SO, respectively. In this study, TO had a more beneficial effect on liver TC and plasma TG, TC, high-density lipoprotein in rats than SO. The likely mechanism for lowering liver and plasma cholesterol by n-3 PUFA is to suppress the mRNA expression of gene encoding HMG-CoA reductase responsible for cholesterol biosynthesis.

PRACTICAL APPLICATIONS

The beneficial effects of n-3 polyunsaturated fatty acids (PUFAs) from fish and fish oil on human health is derived from their role in modulating membrane lipid composition and affecting metabolic and signal-transduction pathways. In the present study, we demonstrated that n-3 PUFA, docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) from tuna and salmon oils can be effectively incorporated into tissue membranes. Tuna oil rich in DHA has more beneficial effect on liver total cholesterol (TC) and plasma triglyceride, TC and HDL in rats than salmon oil, which is rich in EPA. The present data could provide information for the potential application of fish oils as components of functional food, and selected for fortification with different fish oils.

Multiagent framework for bio-data mining

This paper proposes to apply multiagent based data mining technologies to biological data analysis. The rationale is justified from multiple perspectives with an emphasis on biological context. Followed by that, an initial multiagent based bio-data mining framework is presented. Based on the framework, we developed a prototype system to demonstrate how it helps the biologists to perform a comprehensive mining task for answering biological questions. The system offers a new way to reuse biological datasets and available data mining algorithms with ease.

Single molecule conductance through rigid norbornylogous bridges with zero average curvature

A new homologous series of norbornylogous (NB) bridges has been synthesized in which the average curvature of the bridges is very small. The molecules are rigid and have two thiol moieties at each end to allow them to form self-assembled monolayers (SAMs) and to connect to two gold electrodes to form a molecular junction. The SAMs formed were characterized using electrochemistry to determine the surface coverage of molecules on gold surface and to provide an indication of the packing of the NB bridges while ellipsometry and X-ray photoelectron spectroscopy (XPS) were used to provide an indication of the SAM thickness and orientation. Single molecule conductance of NB bridges was measured as a function of the molecular length. The conductance was found to decrease exponentially with the length with a decay constant that is exactly correlated with photoelectron transfer and other studies at the multiple molecule level. The molecule−electrode contact resistance was determined and compared with that of related alkanedithiol molecular junctions.

Synthesis, characterization, and multilayer assembly of pH sensitive graphene−polymer nanocomposites

pH sensitive graphene−polymer composites have been prepared by the modification of graphene basal planes with pyrene-terminated poly(2-N,N′-(dimethyl amino ethyl acrylate) (PDMAEA) and poly(acrylic acid) (PAA) via π−π stacking. The pyrene-terminal PDMAEA and PAA were synthesized using reversible addition−fragmentation chain transfer (RAFT) polymerization with a pyrene-functional RAFT agent. The graphene−polymer composites were found to demonstrate phase transfer behavior between aqueous and organic media at different pH values. Atomic force microscopy (AFM) analysis revealed that the thicknesses of the graphene−polymer sheets were approximately 3.0 nm when prepared using PDMAEA (M_n: 6800 and PDI: 1.12). The surface coverage of polymer chains on the graphene basal plane was calculated to be 5.3 × 10⁻¹¹ mol cm⁻² for PDMAEA and 1.3 × 10⁻¹⁰ mol cm⁻² for PAA. The graphene−polymer composites were successfully characterized using X-ray photoelectron spectroscopy (XPS), attenuated total reflection infrared (ATR-IR) spectroscopy, and thermogravimetric analysis (TGA). Self-assembly of the two oppositely charged graphene−polymer composites afforded layer-by-layer (LbL) structures as evidenced by high-resolution scanning electron microscopy (SEM) and quartz crystal microbalance (QCM) measurements.

Air-assisted growth of tin dioxide nanoribbons

SnO₂ nanoribbons have been synthesized by annealing of a milled SnO₂ powder, which is able to evaporate efficiently at the temperature as low as 1100 °C due to the metastable structure created by ball milling treatment. When the milled powder was annealed in an assembly of two combustion boats, SnO₂ nanoribbons formed on the surface of the milled powder. The nanoribbons tend to grow along the [101] crystallographic direction and their side surfaces are represented by ±(010) and ±(101) facets. The oxygen plays an important role in enhancing their formation.