Measurement of diffusivities of sulfur mustard (SM) and its analog oxygen mustard (OM) in cured butyl,nitrile, and natural-rubber sheets by weight gain and FTIR–ATR methods

The breakthrough time of butyl, nitrile, and natural-rubber sheets (cured) of different compositions against a potent chemical warfare (CW) agent have been determined using the spot disc test (SDT) method. It was observed that butyl rubber is the best material in comparison to nitrile and natural rubber for protection against sulfur mustard (SM). One of the butyl formulations provides more than 100 h protection against SM. The diffusion coefficient of oxygen mustard (SM analog) for the same formulation (F₈) and one nonblack butyl formulation (F₅) was determined by weight gain as well as by FTIR–ATR methods. Both methods provide consistent results and the diffusion coefficient of oxygen mustard (OM for butyl rubber is in the order of 10^?9cm²/s. The diffusion coefficient of SM for the form lation F₈ and F₅ was also determined from the SDT retardation time. © 1995 John Wiley & Sons, Inc.     

Like-minded communities: bringing the familiarity and similarity together

Community detection in social networks is a well-studied problem. A community in social network is commonly defined as a group of people whose interactions within the group are more than outside the group. It is believed that people’s behavior can be linked to the behavior of their social neighborhood. While shared characteristics of communities have been used to validate the communities found, to the best of authors’ knowledge, it is not demonstrated in the literature that communities found using social interaction data are like-minded, i.e., they behave similarly in terms of their interest in items (e.g., movie, products). In this paper, we experimentally demonstrate, on a social networking movie rating dataset, that people who are interested in an item are socially better connected than the overall graph. Motivated by this fact, we propose a method for finding communities wherein like-mindedness is an explicit objective. We find small tight groups with many shared interests using a frequent item set mining approach and use these as building blocks for the core of these like-minded communities. We show that these communities have higher similarity in their interests compared to communities found using only the interaction information. We also compare our method against a baseline where the weight of edges are defined based on similarity in interests between nodes and show that our approach achieves far higher level of like-mindedness amongst the communities compared to this baseline as well.     

Structural,spectroscopic and optical properties of pure and gadolinium doped neodymium phosphate nanoparticles prepared using wet chemical route

ABSTRACT

Nanoparticles of neodymium phosphate and 5% gadolinium (Gd) doped neodymium phosphate prepared by co-precipitation technique belong to the monoclinic monazite phase with space group P2_1/n. The average crystallite size calculated using Debye-Scherrer and Williamson Hall method matches very well with grain size observed from scanning electron microscope images and Image J software. FTIR analysis signifies the presence of vibration modes along with the phosphate group and a slight shift in wave number was observed with the substitution of gadolinium into neodymium phosphate. Ultraviolet absorption spectrophotometer show transitions from ground state to various excited state within the 4f shell and the absorption edge shifts towards the lower wavelength side (blue shift) with the addition of dopant. Raman spectrum further confirms the formation of phosphate group with relevant peaks.     

High-K Spacer Dual-Metal Gate Stack Underlap Junctionless Gate All Around (HK-DMGS-JGAA) MOSFET for high frequency applications

High-K Spacer based Dual-Metal Gate Stack Junctionless Gate All Around (HK-DMGS-JGAA) MOSFET has been proposed and analyzed in this paper for high frequency analog ad RF applications. It has been done by comparing it with the existing Junctionless devices in particular, Junctionless-Gate All Around, Junctionless Gate All Around Underlap and Dual-Metal Junctionless Gate All Around Underlap MOSFET. It is so found that HK-DMGS-JGAA MOSFET shows higher I_ds, g_m, g_d and f_T over existing Junctionless device architectures making it a suitable device for high frequency analog applications. It has also been established that HK-DMGS-JGAA MOSFET has better I_ON/I_OFF ratio, Subthreshold Slope (SS) most close to the ideal values, lower Channel Resistance, R_ch, higher Early Voltage (V_EA), higher Frequency Transconductance Product, superior Transconductance Generation Factor, Maximum gains in terms of current gain, Maximum Transducer Power Gain and Unilateral Power Gain, superior noise performance in terms of the Noise Conductivity and Noise Figure. All these improved figure of merits warrant HK-DMGS-JGAA MOSFET as the best suited device design for various analog and digital applications along with high frequency applications.

     

Vibrational dynamics of poly(L‐glutamine)

In the present paper, we report the Fourier transform infra‐red (FTIR) spectra and an analysis of the normal modes and their dispersion, based on the calculations for an infinite chain and Urey Bradley force field with nonbonded interactions. The results thus obtained agree well with the FTIR spectra. The heat capacity obtained from the dispersion curves via density‐of‐states is in very good agreement with the experimental measurements between 50 and 500 K. We observed that the main contribution to heat capacity comes from the modes involving the coupling of the backbone skeletal and side‐chain motions. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2009     

Power profiling of multimedia sensor node with name-based segment streaming

Multimedia Tools and Applications - Multimedia streaming from miniaturized sensors is attractive for a wide range of web-based applications, including surveillance and Internet of Things (IoT)...     

Smart secondary polyurethane dispersions

Secondary dispersions of cationic segmented polyurethanes (PUs) with thermoresponsivity (upper critical solution temperature (UCST) in water), high solid contents and antibacterial properties are highlighted in this paper. PUs were prepared by polyaddition reactions and subsequent quaternization with methyl iodide. No additional stabilizers, organic solvents or special procedures were required to obtain stable aqueous dispersions containing up to 10 wt% PU; in contrast, stable dispersions were straightforwardly accessed by a combination of UCST behavior and repulsive electrostatic forces among the positively charged segments, which meets the requirements of a green chemistry process. Particle size and UCST strongly depended on the solid content of the dispersions and the content of poly(ethylene glycol) segments in the copolymers. The dispersions exhibited fast‐acting antibacterial properties against Escherichia coli. © 2013 Society of Chemical Industry     

Clinical Advances in Molecular Biomarkers for Cancer Diagnosis and Therapy

Cancer diagnosis is currently undergoing a paradigm shift with the incorporation of molecular biomarkers as part of routine diagnostic panel. The molecular alteration ranges from those involving the DNA, RNA, microRNAs (miRNAs) and proteins. The miRNAs are recently discovered small non-coding endogenous single-stranded RNAs that critically regulates the development, invasion and metastasis of cancers. They are altered in cancers and have the potential to serve as diagnostic markers for cancer. Moreover, deregulating their activity offers novel cancer therapeutic approaches. The availability of high throughput techniques for the identification of altered cellular molecules allowed their use in cancer diagnosis. Their application to a variety of body specimens from blood to tissues has been helpful for appreciating their use in the clinical context. The development of innovative antibodies for immunohistochemical detection of proteins also assists in diagnosis and risk stratification. Overall, the novel cancer diagnostic tools have extended their application as prognostic risk factors and can be used as targets for personalized medicine.