热处理工艺提高Al-17Si-5Cu合金的干滑动耐磨性（英文）

通过等温热处理调整铸态Al-17Si-5Cu (AR)合金中Si (尤其是共晶Si)颗粒的形貌以提高合金的耐磨性能。通过销-盘式摩擦机对比研究热处理后的合金(HT合金)和AR合金的磨损行为,并采用扫描电镜观察磨损表面。结果表明,HT合金的显微组织发生显著变化,相应地,HT合金较AR合金的硬度值增大。与AR合金相比,HF合金在所有载荷下总磨损率明显降低,耐磨性能明显改善。热处理后,共晶Si颗粒由针/棒状变为球形/等轴状(长径比接近1),与基体形成良好结合,在磨损过程中保持完整且更加坚硬,为材料提供良好的耐磨性。另外,HT合金硬度的增加进一步提高合金的耐磨性。因此,完整且较硬的Si颗粒对磨损表面的作用以及材料整体硬度的提高导致HT合金在所有载荷下的磨损行为均优于AR合金。     

Implementation of Six Bit ADC and DAC Using Quantum Dot Gate Non-Volatile Memory

This paper presents the implementation of six-bit analog to digital converters (ADCs) and digital-to-analog converters (DACs) using quantum dot gate non-volatile memory (QDNVM). The charge accumulation in the gate region varies the threshold voltage of QDNVM which can be used as a reference voltage source in a comparator circuit. A simplified comparator circuit can be implemented using the quantum dot gate non-volatile memory (QDNVM). In this work, we discuss the use of QDNVM based comparators in designing 6-bit Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs).     

Fabrication of GaN nanowires and nanoribbons by a catalyst assisted vapor-liquid-solid process

Wurtzite GaN nanowires and nanoribbons were produced directly from Ga metal by an Au catalyst assisted thermal evaporation process in a flowing ammonia atmosphere. We have investigated the effect of different experimental parameters on the morphology of the nanoforms. The diameters of the nanowires were varied between 20 and 40 nm while the widths of the nanoribbons were within 100-250 nm. Microstructural studies by TEM reveals the role of vapor-liquid-solid process in the nucleation of GaN nanoforms. The evolution of the ribbon like morphology was attributed to the vapor-solid process. Photoluminescence study showed UV-blue emission from the GaN nanostructures. Field emission studies indicated the possibility of these materials to be used as the cathode materials in field emission based devices.     

A uniform representation of multi-variant data in intensive-query databases

In this paper a new approach for the representation of multi-variant data is introduced. Current approaches consist on either hard-core coding techniques or conceptual / logical models to integrate structured and semi-structured data in customized, application-specific ways. The representation introduced here relies instead on unfolding technique to represent multi-variant data uniformly. This leads to a framework with core functionalities for organizing structured and semi-structured data. The paper presents also an efficient methodology towards retrieval of data from the proposed storage along with comparative performance analysis against existing practices. Accuracy, precision, and recall of the proposed technique are quantitatively evaluated and carefully reported.     

Correction to: A smart intuitionistic fuzzy‑based framework for round‑robin short‑term scheduler

The Journal of Supercomputing -     

Sustained release of iodine from a polymeric hydrogel device for water disinfection

2‐Hydroxyethyl methacrylate (HEMA) based polymeric hydrogels were synthesized by free‐radical redox bulk polymerization technique using 1% ethyleneglycol dimethacrylate (EGDMA) as crosslinking monomer and ammonium persulfate (APS) and N,N,N′,N′‐tetramethyl ethylenediamine (TEMED) as redox initiator. Polymeric hydrogel samples were loaded with solid elemental iodine. Thermal and physical characteristics of polymer before loading and after 3 months release of iodine were evaluated by differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). On immersing in water, different forms of iodine were released from the hydrogel device. The amount and rate of release of I^? and I were measured by analytical techniques. Released iodine species showed broad spectrum antimicrobial properties and release was sustained for about 120 days. Polymeric hydrogel iodine‐based system developed can be used as a device for controlled release of iodine species at concentration levels sufficient for disinfection to get potable water. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 103: 3334–3340, 2007     

Prognostic and Predictive Roles of KRAS Mutation in Colorectal Cancer

The RAS gene family is among the most studied and best characterized of the known cancer-related genes. Of the three human ras isoforms, KRAS is the most frequently altered gene, with mutations occurring in 17%–25% of all cancers. In particular, approximately 30%–40% of colon cancers harbor a KRAS mutation. KRAS mutations in colon cancers have been associated with poorer survival and increased tumor aggressiveness. Additionally, KRAS mutations in colorectal cancer lead to resistance to select treatment strategies. In this review we examine the history of KRAS, its prognostic value in patients with colorectal cancer, and evidence supporting its predictive value in determining appropriate therapies for patients with colorectal cancer.