Design of Microstrip Patch Antenna for Industrial Routers Applications

The proposed antenna has a simple structure comprising of two radiating strips and a coupling strip which serves to enhance the bandwidth at high frequency. The antenna has been designed to cover X bands (8-12GHz). The designed antenna only occupies a small area of 9×8.7 mm2 on the system circuit board. Byadjusting the shape, location and size of the antenna, the return loss is effectively reduced, while the efficiency of the antenna is preserved. This antenna is helpful to incorporate into industrial routersfor next generation wireless systems

Design of E-Shaped Patch Antenna with Multi Resonances

In this paper, we tend to designed, simulated, engineered and check ‘E- shaped patch antenna with multi resonances’ that provides 9 db graph gain. Our simulation and experimental investigation aimed to grasp the behavior of the 2 slits. The first frequency is 3.6GHz with 4.46dBi gain the second frequency is 6.8GHz with 4.98dBi gain, the third frequency is 6.93GHz with 5.558 dBi and the fourth frequency 7GHz with gain 5.3681 dBi

A Novel Approach for Secure Hidden Community Mining in Social Networks using Data Mining Techniques

Social network community contains a group of nodes connected on the basis of certain relationships or same properties. Sometimes it refers to the special kind of network arrangement where the Community Mining discovers all communities hidden in distributed networks based on their important similarities. Different methods and algorithms have been employed to carry out the task of community mining. Conversely, in the real world, many applications entail distributed and dynamically evolving networks. This leads a problem of finding all communities from a given network. Detecting evolutionary communities in these networks can help the user for better understanding the structural evolution of the networks. In this research, first a new bipartisan scheme using k- Dimensional (KD) –Tree to deal with the recursive bisection method is proposed; next an Improved KD-Tree algorithm to deal with the multidimensional problem is put forward. The security issue such as a Sybil attack (Multiple fake Identities attack) arises in these network structures. It can be mitigated by fixing the target time by using SICTF (Sybil Identification using Connectivity Threshold and Frequency of visit) algorithm. The problem faced by the mining community of heterogeneous network can be addressed by usin

Molecular structure, physicochemical properties, impact of solvents ionization potential, electron occupancy, inhibition constant, and stabilization energy investigations of 4-acetamido benzoic acid

A novel heterocyclic organic compound, 4-Acetamido benzoic acid (4AMBA) had a wide range of applications in the field of drug discovery arena. The molecular structural stability conformation had been carried out using the Molecular Potential Energy Surface (MPES) scan with chosen suitable dihedral angle. For both the calculated and experimental procedures, the identifications of the chemical bonds of pertinent functional groups were investigated using spectral measurements (FT-IR and FT-Raman). The DFT/B3LYP/6–311++G(d,p) basis set, which is a highly compatible technique, was implemented to execute the quantum computational studies. Further, to enhance the molecular (inter and intra) interactions, reactivity regions between the atoms were performed using reactivity sites such as MEP, NBO, NLMO, NHO, and Hirshfeld surface analysis. In addition, the topological analysis for the various solvents and the electronic properties of the appropriate wavelength, the energy gap of the UV–Visible spectrum (both theoretical (various solvents) and experimental), FMO theories (HOMO and LUMO) energies and topological analyses were attained. The significant features that explain the biological behavior of the header composite were computed with the least possible binding energy using protein-ligand interactions with appropriate protein receptors, such as 1J1R, 1G1K, and 1J1Q

Why are attractive faces preferred?: an electrophysiological test of averageness theory

Numerous studies provide evidence that 6-month-old infants have visual preferences for faces judged by adults to be attractive well before these preferences might be acquired through socialization mechanisms (e.g. Langlois et al., 1987; Slater et al., 1998). Why do infants and adults prefer attractive faces? Averageness theory asserts that attractive faces are more 'average' in configuration and closely resemble the mean of a population of faces and are thus more familiar, typical, and 'face-like', than faces that deviate (e.g., unattractive faces) from the average configuration (Langlois & Roggman, 1990). When faces are averaged together, the resulting average configuration is judged to be highly attractive (e.g., Langlois & Roggman, 1990). Fluency theories suggest that fluent processing of prototypical exemplars (e.g., attractive faces, averaged faces) evokes positive affect (e.g., Winkielman et al., 2003). Therefore, because adults and even 6-month-olds can form prototypes of the faces they experience (e.g., Rubenstein et al., 1999), they may prefer attractive faces because they are more prototypical, and thus, more quickly and easily processed than less attractive faces. I tested fifty 6-month-old infants and forty-four adults and used event-related potentials (ERP) to record their brain activity in response to averaged, attractive, and unattractive faces. Consistent with averageness and fluency theories, results revealed lower amplitudes and shorter latencies to less attractive faces in infant and adult ERP components associated with face processing. Infant ERPs also showed a pattern of activity that suggested that attractive faces are processed as familiar compared to less attractive faces. The results suggest that more attractive faces are more fluently processed than less attractive faces and thus, both infants and adults may prefer attractive faces because they are more quickly and easily processed.Psycholog

Klotho regulation by albuminuria is dependent on ATF3 and endoplasmic reticulum stress

Proteinuria is associated with renal function decline and cardiovascular mortality. This association may be attributed in part to alterations of Klotho expression induced by albuminuria, yet the underlying mechanisms are unclear. The presence of albumin decreased Klotho expression in the POD‐ATTAC mouse model of proteinuric kidney disease as well as in kidney epithelial cell lines. This downregulation was related to both decreased Klotho transcription and diminished protein half‐life, whereas cleavage by ADAM proteases was not modified. The regulation was albumin specific since it was neither observed in the analbuminemic Col4α3−/− Alport mice nor induced by exposure of kidney epithelial cells to purified immunoglobulins. Albumin induced features of ER stress in renal tubular cells with ATF3/ATF4 activation. ATF3 and ATF4 induction downregulated Klotho through altered transcription mediated by their binding on the Klotho promoter. Inhibiting ER stress with 4‐PBA decreased the effect of albumin on Klotho protein levels without altering mRNA levels, thus mainly abrogating the increased protein degradation. Taken together, albuminuria decreases Klotho expression through increased protein degradation and decreased transcription mediated by ER stress induction. This implies that modulating ER stress may improve proteinuria‐induced alterations of Klotho expression, and hence renal and extrarenal complications associated with Klotho loss

Evolution of hypoxia and hypoxia-inducible factor asparaginyl hydroxylase (FIH) regulation in chronic kidney disease

Background: The roles of hypoxia and hypoxia inducible factor (HIF) during chronic kidney disease (CKD) are much debated. Interventional studies with HIF-α activation in rodents yielded contradictory results. The HIF pathway is regulated by prolyl and asparaginyl hydroxylases; while prolyl hydroxylase inhibition is a well-known method to stabilize HIF-α, little is known about the effect asparaginyl hydroxylase Factor Inhibiting HIF inhibiting (FIH). Methods: We used a model of progressive proteinuric CKD and a model of obstructive nephropathy with unilateral fibrosis. In these models, we assessed hypoxia with pimonidazole and vascularization with three-dimensional micro-CT imaging. We analyzed a database of 217 CKD biopsies from stage 1 to 5 and we randomly collected 15 CKD biopsies from various severity degrees to assess FIH expression. Finally, we modulated FIH activity in vitro and in vivo using a pharmacologic approach, to assess its relevance in CKD. Results: In our model of proteinuric CKD, we show that early CKD stages are not characterized by hypoxia or HIF activation. At late CKD stages, some areas of hypoxia are observed, but these are not colocalizing with fibrosis. In mice and in humans, we observed a downregulation of the HIF pathway, together with an increased FIH expression in CKD, according to its severity. Modulating FIH in vitro affects cellular metabolism, as described previously. In vivo, pharmacologic FIH inhibition increases the glomerular filtration rate of control and CKD animals and is associated with a reduced development of fibrosis. Conclusions: The causative role of hypoxia and HIF activation in CKD progression is questioned. A pharmacological approach of FIH downregulation seem promising in proteinuric kidney disease.</p