Thermal Conductivity of Complex Plasmas Using Novel Evan-Gillan Approach

The thermal conductivity of complex fluid materials(dusty plasmas) has been explored through novel Evan-Gillan homogeneous non-equilibrium molecular dynamic(HNEMD) algorithm. The thermal conductivity coefficient obtained from HNEMD is dependent on various plasma parameters(Γ, κ). The proposed algorithm gives accurate results with fast convergence and small size effect over a wide range of plasma parameters. The cross microscopic heat energy current is discussed in association with variation of temperature(1/Γ) and external perturbations(P_z). The thermal conductivity obtained from HNEMD simulations is found to be very good agreement and more reliable than previously known numerical techniques of equilibrium molecular dynamic, nonequilibrium molecular dynamic simulations. Our new investigations point to an effective conclusion that the thermal conductivity of complex dusty plasmas is dependent on an extensive range of plasma coupling(Γ) and screening parameter(κ) and it varies by the alteration in these parameters.It is also shown that a different approach is used for computations of thermal conductivity in 2D complex plasmas and can be appropriate method for behaviors of complex systems.     

On topological properties of hierarchical interconnection networks

There is really a lot of mathematics involved in electrical and electronic engineering. It depends on what area of electrical and electronic engineering, for example there is a lot more abstract mathematics in communication theory and signal processing and networking etc. Networks involve nodes communicating with each other. A lot of computers linked together form a network. Cell phone users form a network. Networking involves the study of the best way of implementing a network. Graph theory has found a considerable use in this area of research. In this paper, we extend this study to interconnection networks and derive analytical closed results of general Randi? index \(R_{\alpha }(G)\) for different values of “\(\alpha \)” for block shift network (BSN-1) and (BSN-2), Hierarchical hypercube (HHC-1) and (HHC-2). We also compute first Zagreb, \(\textit{ABC}\), \(\textit{GA}\), \(\textit{ABC}_{4}\) and \(\textit{GA}_{5}\) indices and give closed formulae of these indices for Hierarchical interconnection networks.     

Zn in ionic liquid: an efficient reaction media for the synthesis of diorganyl chalcogenides and chalcogenoesters

A straightforward and efficient methodology is described to synthesize structurally diverse diorganyl selenides, sulfides, seleno- and thioesters by using commercially available Zn dust in ionic liquid. Excellent yields were achieved under neutral conditions at room temperature in a short time. The solvent/ionic liquid is reusable and exhibited higher performance as compared with organic solvents.     

Kinetic spectrophotometric determination of famotidine in commercial dosage forms.

A simple kinetic spectrophotometric method is described for the determination of famotidine. The method is based on the oxidation of the drug with alkaline potassium permanganate. The reaction is followed spectrometrically by measuring the rate of change of the absorbance at 610 nm. The initial-rate and fixed-time (at 12 min) methods are adopted for determining the drug concentration. The calibration graphs are linear in the ranges of 2-10 microg mL(-1) and 1-8 microg mL(-1) using the initial-rate and fixed-time methods, respectively. The method has been applied to the determination of famotidine in tablet formulations. The obtained results are compared statistically with those given by a reference spectrophotometric method.     

Broadly Applicable Z‐ and Diastereoselective Ring‐Opening/Cross‐Metathesis Catalyzed by a Dithiolate Ru Complex

A broadly applicable Ru‐catalyzed protocol for Z‐selective ring‐opening/cross‐metathesis (ROCM) is disclosed. In addition to reactions relating to terminal alkenes of different sizes, the first examples of Z‐selective ROCM processes involving heteroaryl olefins, 1,3‐dienes, and O‐ and S‐substituted alkenes as well as allylic and homoallylic alcohols are reported. Z‐Selective transformations with an α‐substituted allylic alcohol are shown to afford congested Z alkenes with high diastereoselectivity. Transformations are performed in the presence of 2.0–5.0 mol % of a recently disclosed Ru‐based dithiolate complex that can be easily prepared in a single step from commercially available starting materials. Typically, transformations proceed at ambient temperature and are complete within eight hours; products are obtained in up to 97 % yield, >98:2 Z/E, and >98:2 diastereomeric ratio. The present investigations reveal a mechanistically significant attribute of the Ru‐based dithiolates that arises from electrostatic interactions with anionic S‐based ligands.     

Glass formation in the system Li2B4O7–Pb3O4–CuO using X-ray diffraction

X-ray diffraction was performed to construct the phase diagram for the ternary Li₂B₄O₇–Pb₃O₄–CuO glass system. Three principal regions were identified: (1) a glass-forming region observed at the composition (75 < Li₂B₄O₇ < 100) mol%, (0 < CuO < 35) mol% and (0 < Pb₃O₄ < 70) mol% in the ternary system, and (100 ? x) mol% Li₂B₄O₇–x mol% Pb₃O₄ where x = 0 up to 70, (100 ? y) mol% Li₂B₄O₇–y mol% CuO where y = 0 up to 25 in the binary system;. (2) a crystalline region: all compositions prepared from the binary system Pb₃O₄–CuO and the ternary system containing Li₂B₄O₇ up to 60 mol%; (3) a partially crystalline region formed between the glass and crystalline regions.     

Marmenol: a 7-geranyloxycoumarin from the leaves of Aegle marmelos Corr

A new 7-geranyloxycoumarin [7-(2,6-dihydroxy-7-methoxy-7-methyl-3-octaenyloxy) coumarin] named marmenol (1) has been isolated from the leaves of methanolic extract of Aegle marmelos belonging to the family Rutaceae. In addition to marmenol, several known compounds have also been obtained for the first time from the same source. They include: praealtin D, trans-cinnamic acid, valencic acid, 4-methoxy benzoic acid, betulinic acid, N-p-cis- and trans-coumaroyltyramine, montanine, and rutaretin. The structures of marmenol and known constituents were established with the help of NMR spectroscopy. However, structure of 1 was further confirmed via 2-D NMR experiments.     

Effect of copper addition on BO<Subscript>4</Subscript>, H<Subscript>2</Subscript>O groups and optical properties of lithium lead borate glass

Lead lithium borate glass samples composition 50Li₂B₄O₇–(50?x)Pb₃O₄–x CuO, where x = 0–35 mol% were prepared by melt quenching method. The density of the prepared samples was measured and molar volume was calculated. IR spectra were measured for the prepared samples at room temperature to investigate the glass structure. The IR spectra were deconvoluted using curves of Gaussian shape at approximately the same frequencies. The deconvoluted data were used to study the effect of CuO content on all the structural borate and water groups. The optical band gap obtained directly from absorption coefficient, refractive index and extinction coefficient, also by using the Tauc model. The type of transition is determined by the simple and accurate method.     

Edge Based Priority-Aware Dynamic Resource Allocation for Internet of Things Networks

The exponential growth of the edge-based Internet-of-Things (IoT) services and its ecosystems has recently led to a new type of communication network, the Low Power Wide Area Network (LPWAN). This standard enables low-power, long-range, and low-data-rate communications. Long Range Wide Area Network (LoRaWAN) is a recent standard of LPWAN that incorporates LoRa wireless into a networked infrastructure. Consequently, the consumption of smart End Devices (EDs) is a major challenge due to the highly dense network environment characterised by limited battery life, spectrum coverage, and data collisions. Intelligent and efficient service provisioning is an urgent need of a network to streamline the networks and solve these problems. This paper proposes a Dynamic Reinforcement Learning Resource Allocation (DRLRA) approach to allocate efficient resources such as channel, Spreading Factor (SF), and Transmit Power (Tp) to EDs that ultimately improve the performance in terms of consumption and reliability. The proposed model is extensively simulated and evaluated with the currently implemented algorithms such as Adaptive Data Rate (ADR) and Adaptive Priority-aware Resource Allocation (APRA) using standard and advanced evaluation metrics. The proposed work is properly cross validated to show completely unbiased results.     

Ultrasound-assisted synthesis of substituted triazines and their corrosion inhibition behavior on N80 steel/acid interface

The three substituted triazines were synthesized by ultrasound irradiation method and characterized by FTIR, ¹³C NMR, and ¹H NMR. The corrosion inhibition behavior of the synthesized inhibitors on N80 steel in 15% HCl was studied using electrochemical analyses and weight loss methods. All three inhibitors exhibited excellent corrosion inhibition performance, and the best inhibition effect was shown by TZ-3 (93.2% at 800 mg/L). EIS measurements suggest that the corrosion inhibition process is a charge transfer controlled. The PDP results indicated that all the triazines are mixed-type inhibitors. Langmuir adsorption model is the best fit among the other tested isotherms. These molecules can act as promising acidizing corrosion inhibitors for the oil gas industry. FTIR, AFM, and UV-vis studies corroborate the adsorption of inhibitor molecules over the metal surface.