Superconducting Mechanism through direct and redox layer doping in Pnictides

The mechanism of superconductivity in pnictides is discussed through direct doping in superconducting FeAs and also in charge reservoir REO layers. The un-doped SmFeAsO is charge neutral SDW (Spin Density Wave) compound with magnetic ordering below 150 K. The Superconducting FeAs layers are doped with Co and Ni at Fe site, whereas REO layers are doped with F at O site. The electron doping in SmFeAsO through Co results in superconductivity with transition temperature (Tc) maximum up to 15 K, whereas F doping results in Tc upto 47 K in SmFeAsO. All these REFe/Co/NiAsO/F compounds are iso-structural to ZrCuSiAs structure. The samples are crystallized in a tetragonal structure with space group P4/nmm. Variation of Tc with different doping routes shows the versatility of the structure and mechanism of occurrence of superconductivity. It seems doping in redox layer is more effective than direct doping in superconducting FeAs layer.Comment: 4 Pages text + Figs: ([email protected]

Editorial

This special edition is devoted to Rockets and Missile Technology, a developing sector that will likely increase significantly as rocket and missile design technology progress. Modern military arsenals must contain advanced guided-weapons technology. As the need for missile and rocket technology grows, they are employed in various applications. Technological advancements additionally highlight the system\u27s capabilities, functions, and applications, improving its efficacy and use. When it comes to combat aircraft, the armaments that go with them decide the price. New technology and applications such as hypersonic weaponry, long-range rockets and missiles, and space-based military equipment produce market upheaval. Current rocket and missile technology encourage potential writers to submit their viewpoints as technical articles and review papers within the framework of this journal, which this issue does after the most current updates

Cloud Host Selection using Iterative Particle-Swarm Optimization for Dynamic Container Consolidation

A significant portion of the energy consumption in cloud data centres can be attributed to the inefficient utilization of available resources due to the lack of dynamic resource allocation techniques such as virtual machine migration and workload consolidation strategies to better optimize the utilization of resources. We present a new method for optimizing cloud data centre management by combining virtual machine migration with workload consolidation. Our proposed Energy Efficient Particle Swarm Optimization (EE-PSO) algorithm to improve resource utilization and reduce energy consumption. We carried out experimental evaluations with the Container CloudSim toolkit to demonstrate the effectiveness of the proposed EE-PSO algorithm in terms of energy consumption, quality of service guarantees, the number of newly created VMs, and container migrations

Sens-BERT: Enabling Transferability and Re-calibration of Calibration Models for Low-cost Sensors under Reference Measurements Scarcity

Low-cost sensors measurements are noisy, which limits large-scale adaptability in airquality monitoirng. Calibration is generally used to get good estimates of air quality measurements out from LCS. In order to do this, LCS sensors are typically co-located with reference stations for some duration. A calibration model is then developed to transfer the LCS sensor measurements to the reference station measurements. Existing works implement the calibration of LCS as an optimization problem in which a model is trained with the data obtained from real-time deployments; later, the trained model is employed to estimate the air quality measurements of that location. However, this approach is sensor-specific and location-specific and needs frequent re-calibration. The re-calibration also needs massive data like initial calibration, which is a cumbersome process in practical scenarios. To overcome these limitations, in this work, we propose Sens-BERT, a BERT-inspired learning approach to calibrate LCS, and it achieves the calibration in two phases: self-supervised pre-training and supervised fine-tuning. In the pre-training phase, we train Sens-BERT with only LCS data (without reference station observations) to learn the data distributional features and produce corresponding embeddings. We then use the Sens-BERT embeddings to learn a calibration model in the fine-tuning phase. Our proposed approach has many advantages over the previous works. Since the Sens-BERT learns the behaviour of the LCS, it can be transferable to any sensor of the same sensing principle without explicitly training on that sensor. It requires only LCS measurements in pre-training to learn the characters of LCS, thus enabling calibration even with a tiny amount of paired data in fine-tuning. We have exhaustively tested our approach with the Community Air Sensor Network (CAIRSENSE) data set, an open repository for LCS.Comment: 1

OPTIMIZATION OF CULTURE CONDITIONS OF STREPTOMYCES CARPATICUS (MTCC-11062) FOR THE PRODUCTION OF ANTIMICROBIAL COMPOUND

Objective: To improve the antimicrobial compound productivity of Streptomyces carpaticus (MTCC-11062) by optimizing its physical and chemical parameters Methods: Streptomyces carpaticus (MTCC-11062) was isolated from Visakhapatnam sea coast of Bay of Bengal and was screened for its antimicrobial activity by using agar well diffusion method. To improve the production of antimicrobial compound the medium composition and physical parameters were optimized and its productivity was studied against Bacillus cereus (MTCC 430) Escherichia coli (MTCC 443), Candida albicans (MTCC 227) obtained from MTCC, Chandigarh, India. Results: Optimum growth of mycelium and antimicrobial compound production occurred at pH 7.2, agitation 180 rpm and temperature 300C with glucose 10g/L, soyabean meal 2.5g/L, K2HPO4 2g/L, MgSO4 1g/L, NaCl 7.5g/L and trace salts. Conclusion: The optimization of cultural conditions proposed in this paper has effetely improved the antimicrobial compound productivity of Streptomyces carpaticus (MTCC-11062)

Structural and Magnetic Properties of Co1-xFexSr2YCu2O7 compounds

Here we study the structural and magnetic properties of the CoFeSr2YCu2O7 compound with x = 0.0 to 1.0. X-ray diffraction patterns and simulated data obtained from Rietveld refinement of the same indicate that the iron ion replacement in CoFeSr2YCu2O7 induces a change in crystal structure. The orthorhombic Ima2 space group structure of Co-1212 changes to tetragonal P4/mmm with increasing Fe ion. The XPS studies reveal that both Co and Fe ions are in mixed states for the former and in case of later.Although none of the studied as synthesized samples in CoFeSr2YCu2O7 are superconducting, the interesting structural changes in terms of their crystallisation space groups and the weak magnetism highlights the rich solid state chemistry of this class of materials.Comment: 20 pages of Text+Figs: comments/suggestions welcome ([email protected]

Molecular analysis of Candidate genes at the 22q region in Schizophrenia subjects

22q11.2 deletion syndrome (22q11.2DS), also known as Velo-Cardio-Facial Syndrome (VCFS) or DiGeorge Syndrome, is a genetic disorder due to a micro deletion on chromosome 22q11.2. VCFS is associated with abnormalities in brain structure and with an increased risk of psychiatric disorders, particularly schizophrenia (SCZ). DNA copy  number is a largely unexplored source of human genetic variation that may contribute risk for complex disease like SCZ. The aim of this study was to assess Copy number variations (CNV) at candidate genes located in 22q11 region in SCZ subjects. We report aberrations in copy number  at PRODH and COMT gene loci supporting the hypothesis that dosage effects of 22q genes could lead to disruptions in neurotransmitter signaling and related neurobehavioral symptoms observed in SCZ subjects. The results support the hypothesis that the complex phenotype of 22qDS results either from the overlapping regulation of several genes within this region or from its concerted participation in a highly regulated process