Growth of Zinc Oxide Nanopores by Pulsed Laser Ablation

ZnO thin films of porous structure with strong c-axis orientation were deposited on n-type silicon substrate by pulsed laser ablation of ZnO target in low O2 pressure (around 0.03 mbar) and at 6000C substrate temperature. We attribute the formation of nanopores and the crater-like formation to the high kinetic energy of the ablated particles. Photoluminescence spectra show the near band edge emission (UV emission) and the defect related emissions in the visible region (blue-green and yellow emission). Raman spectrum of the nanostructures reveals the highly intense E1(LO) mode and this mode is associated with the defect states in ZnO

Growth of Zinc Oxide Nanopores by Pulsed Laser Ablation

ZnO thin films of porous structure with strongc-axis orientation were deposited on n-type siliconsubstrate by pulsed laser ablation of ZnO target in low O2pressure (around 0.03 mbar) and at 6000C substratetemperature. We attribute the formation of nanopores andthe crater-like formation to the high kinetic energy of theablated particles. Photoluminescence spectra show thenear band edge emission (UV emission) and the defectrelated emissions in the visible region (blue-green andyellow emission). Raman spectrum of the nanostructuresreveals the highly intense E1(LO) mode and this mode isassociated with the defect states in ZnO

Operator growth and Krylov Complexity in Bose-Hubbard Model

We study Krylov complexity of a one-dimensional Bosonic system, the celebrated Bose-Hubbard Model. The Bose-Hubbard Hamiltonian consists of interacting bosons on a lattice, describing ultra-cold atoms. Apart from showing superfluid-Mott insulator phase transition, the model also exhibits both chaotic and integrable (mixed) dynamics depending on the value of the interaction parameter. We focus on the three-site Bose Hubbard Model (with different particle numbers), which is known to be highly mixed. We use the Lanczos algorithm to find the Lanczos coefficients and the Krylov basis. The orthonormal Krylov basis captures the operator growth for a system with a given Hamiltonian. However, the Lanczos algorithm needs to be modified for our case due to the instabilities instilled by the piling up of computational errors. Next, we compute the Krylov complexity and its early and late-time behaviour. Our results capture the chaotic and integrable nature of the system. Our paper takes the first step to use the Lanczos algorithm non-perturbatively for a discrete quartic bosonic Hamiltonian without depending on the auto-correlation method.Comment: 17 pages, 4 figure

Recent Advances in Research on Down Syndrome

Down syndrome (DS) or trisomy 21 is one of the most important genetic causes of mental retardation. Sincere and significant attempts have been made towards understanding the congenital diseases that affect DS patients. Better understanding of gene networks associated with such malformations will help to predict the complex genetic trait behind congenital disease in DS and will also provide the basis for tailored gene therapies that could begin to heal or prevent such malformation without the need to resort to invasive surgery. Further, susceptible mutation screening in women will also be helpful for both prenatal diagnosis of DS birth and assessing the risk of predisposition to Alzheimer’s disease and congenital heart disease. Stress condition and neurodegeneration are two important markers in Down syndrome patients and mtDNA variation can also be used as an important biomarker. It has been suggested that nutraceuticals which reduce reactive oxygen species (ROS) level may be used to treat trisomy 21 condition. As mitochondria play a crucial role in the regulation of free radicals, only a detail analysis will reveal the origin of phenotypic characteristics among trisomy 21 DS patients. On the other hand, several mechanisms are responsible for neurodegeneration as well as altered cognition. It includes impaired neurogenesis leading to hypocellularity in the cortex, hippocampus and cerebellum, altered dendritic morphology, altered synapses, increased inhibition and neurodegeneration. The new knowledge of the pathogenic mechanisms in DS individuals has been acquired from mouse model. These studies provide the basis for developing new drugs for clinical trials in DS individuals and to sustain the hope that some of these drugs will be useful in treating intellectual disability in DS individuals

Functional connectivity analysis of motor imagery EEG signal for brain-computer interfacing application

International audienceThe human brain can be considered as a graphical network having different regions with specific functionality and it can be said that a virtual functional connectivity are present between these regions. These regions are regarded as nodes and the functional links are regarded as the edges between them. The intensity of these functional links depend on the activation of the lobes while performing a specific task(e.g. motor imagery tasks, cognitive tasks and likewise). The main aim of this study is to understand the activation of the parts of the brain while performing three types of motor imagery tasks with the help of graph theory. Two indices of the graph, namely Network Density and Node Strength are calculated for 32 electrodes placed on the subject's head covering all the brain lobes and the nodes having higher intensity are identified

Driven transport of active particles through arrays of symmetric obstacles

We numerically examine the driven transport of an overdamped self-propelled particle through a two-dimensional array of circular obstacles. A detailed analysis of transport quantifiers (mobility and diffusivity) has been performed for two types of channels, {\it channel I} and {\it channel II}, that respectively correspond to the parallel and diagonal drives with respect to the array axis. Our simulation results show that the signatures of pinning actions and depinning processes in the array of obstacles are manifested through excess diffusion peaks or sudden drops in diffusivity, and abrupt jumps in mobility with varying amplitude of the drive. The underlying depinning mechanisms and the associated threshold driving strength largely depend on the persistent length of self-propulsion. For low driving strength, both diffusivity and mobility are noticeably suppressed by the array of obstacles, irrespective of the self-propulsion parameters and direction of the drive. When self-propulsion length is larger than a channel compartment size, transport quantifiers are insensitive to the rotational relaxation time. Transport with diagonal drives features self-propulsion-dependent negative differential mobility. The amplitude of the negative differential mobility of an active particle is much larger than that of a passive one. The present analysis aims at understanding the driven transport of active species like, bacteria, virus, Janus Particle etc. in porous medium.Comment: Accepted for publication in JCP (October 2023

Structure and diffusion of active-passive binary mixtures in a single-file

We numerically study structure and dynamics of single files composed of active particles, as well as, active-passive binary mixtures. Our simulation results show that when the persistent length of self-propelled particles is much larger than the average inter-particle separation and the self-propulsion velocity is larger than the thermal velocity, particles in the file exist as clusters of various sizes. Average cluster size and structures of the file are very sensitive to self-propulsion properties, thermal fluctuations and composition of the mixture. In addition to the variation of file composition, our study considers two sorts of mixture configurations. One corresponds to the uniform distribution of active passive throughout the mixture in the single file. In the other configuration, active particles are on one side of the file. For the both configurations, even a little fraction of active particles produces a large impact on the structure and dynamics of the file

A novel spectrophotometric method development and validation of Tenagliptin in its Tablet dosages form

The aim of present work was to develop a new, economical & simple analytical method of Teneligliptin & its validation as per International Conference on Harmonization (ICH) guideline, which is a new antidiabetic drug that is used to treat Non-Insulin Dependent Diabetis Melitus (NIDDM) patients. A sensitive and specific Ultra Violet (UV) Visible method was developed & the analysis was carried out by using Shimazdu 1800 Spectrophotometer, 0.1(N) NaOH was used as a solvent. The UV- Visible Spectrophotometric estimation was carried out at a λ max of 242 nm using 1cm thick quartz cell. Validation of the newly developed method was performed as per International Conference on Harmonization (ICH) Q2R1 guideline in the following parameters: Calibration curve, Accuracy, Precision etc.  Newly developed method obeys Beer’s-Lambert’s law in the concentration range of 5 - 25 μg / ml, whereas correlation coefficient value is less than 1. The percent amount of drug estimated by this developed method was 100.91 %, which is very close to 100 %. The validation parameters like Accuracy, Precision, Linearity, Range, Limit of detection (LOD) & Limit of Quantification (LOQ) were studied for the developed method and was found to be within the limits. Keywords: Teneligliptin, Validation, Method, Spectroscopy etc

Optical Characterization and Growth Mechanism of Combination of Zinc Oxide Nanowires and Nanorods at Various Substrate Temperatures

We report on the growth of ZnO nanostructures on n-type silicon substrate using pulsed laser deposition technique at substrate temperature ranging from room temperature to 600°C for one hour. We observe both rod- and wire-like structures with different dimensions at room temperature, 150°C, and 450°C substrate temperatures and only wire-like structures at 300°C and 600°C. These combinations of different shapes have been attributed to the initial growth of nanostructures (nucleation sites) on the surface obtained during the deposition for 20 minutes. The narrowing in the full-width-half-maximum of the peak corresponding to (002) plane of XRD is looked upon as another possible explanation. The blue shift of the peak at 396 nm observed in the photoluminescence is due to the quantum confinement. The intensity of E2(high) mode at 437 cm−1 increases indicating improvement in crystallinity with the substrate temperature

JATOS/JATOS: JATOS v3.8.5

<p><strong>If you want to update a JATOS server from version < 3.7.1 read the <a href="https://github.com/JATOS/JATOS/releases/tag/v3.7.6">release information from v3.7.x first</a>.</strong></p> <p>Try out the new version on <a href="https://cortex.jatos.org/">cortex.jatos.org</a>.</p> <h2>Changes in 3.8.5</h2> <ul> <li>Added <strong>authentication with ORCID</strong> (<a href="https://orcid.org/">orcid.org</a>) and <strong>OpenID Connect (OIDC)</strong></li> <li>Added download button to QR codes of study links</li> <li>Added study link's comments to result metadata (<a href="https://github.com/JATOS/JATOS/issues/293">#293</a>)</li> </ul> <h2>Changes in 3.8.4</h2> <ul> <li>Bugfix: Result files stored in the wrong folder (<a href="https://github.com/JATOS/JATOS/issues/292">#292</a>)</li> </ul> <h2>Changes in 3.8.3</h2> <ul> <li>Bugfixes<ul> <li><strong>Logout not working</strong> (<a href="https://github.com/JATOS/JATOS/issues/291">#291</a>)</li> <li>Study Results of a specific worker shows results of all workers of that type instead of only one (<a href="https://github.com/JATOS/JATOS/issues/289">#289</a>)</li> </ul> </li> <li>Administration improvements:<ul> <li>Added docs for <a href="https://www.jatos.org/JATOS-with-Docker-Compose.html">JATOS with <strong>Docker Compose</strong></a> and <a href="https://www.jatos.org/JATOS-in-a-cluster.html">JATOS in a cluster with <strong>Kubernetes</strong></a></li> <li><strong>Rename JATOS' config file</strong>: <em>production.conf</em> to <em><strong>jatos.conf</strong></em> (but <em>production.conf</em> is still allowed)</li> <li>Better support of <strong>multi-node</strong> setups: set flag <em>jatos.multiNode=true</em></li> <li>Make migrations and updates <strong>multi-node safe</strong></li> <li>Add <strong>liveness test</strong>: route <em>/ping</em> answers with 'pong'</li> <li><strong>JATOS' tmp</strong> folder is now configurable via <em>jatos.tmpPath</em> and <em>JATOS_TMP_PATH</em></li> <li>Improved <strong>Dockerfile</strong>: JATOS home folder is now by default <em>/opt/jatos</em> and JATOS' data (study assets, result uploads, study logs) are in <em>/opt/jatos_data</em></li> <li>Added <strong>Tests</strong> to GUI's administration page / Tests: test access to all necessary folders (study assets, result uploads, logs, study logs, and tmp folder)</li> </ul> </li> </ul> <h2>Changes in 3.8.2</h2> <ul> <li>Bugfixes<ul> <li>Result data exported as Plain Text missing line-breaks (<a href="https://github.com/JATOS/JATOS/issues/285">#285 </a>)</li> <li>Malformed cookies from older JATOS versions can cause an <em>InternalServerError</em> with some browsers</li> </ul> </li> <li>GUI:<ul> <li>Use browser's local date-time (instead of server's date-time) at e.g. <em>Start Time</em> or <em>Last Seen</em> in the result pages</li> <li>Study Links, in the setup for the <em>Personal</em> types - add a button group to toggle between visibility of <em>All</em>, <em>Active</em>, <em>Deactivated</em>, and <em>Used</em> study links</li> </ul> </li> <li>JATOS API: new endpoint to <a href="https://petstore.swagger.io/?url=https://raw.githubusercontent.com/JATOS/JATOS/master/jatos-api.yaml#/study/get_jatos_api_v1_studies__id__assets_structure">get the directory structure of a study assets directory</a> in JSON</li> <li>A lot of administration improvements:<ul> <li>Abolished server-side cache -> all state is now either in the database or in cookies (easier to run JATOS on multiple nodes)</li> <li>Logs config:<ul> <li>Allow to configure the location of the application logs</li> <li>Allow logging to file or <code>stdout</code></li> </ul> </li> <li><em>production.conf</em> - Equalize property names. Most common names all start with <code>jatos.</code> now, but old-style names are still supported.</li> <li>Abolished use of <code>X-Forwarded-*</code> HTTP headers (<code>X-Forwarded-Proto</code>, <code>X-Forwarded-For</code>, <code>X-Forwarded-Ssl</code>) (easier to run JATOS in complex system layouts)</li> </ul> </li> </ul> <h2>Changes in 3.8.1</h2> <ul> <li>Introducing the <a href="https://www.jatos.org/JATOS-API.html"><strong>JATOS API</strong></a><ul> <li>Access JATOS from the programming language of your choice (e.g. Python or R)</li> <li><a href="https://github.com/JATOS/JATOS/blob/master/jatos-api.yaml">Specifications in <strong>OpenAPI</strong></a></li> <li>Uses personal access tokens for authentication</li> <li><a href="http://petstore.swagger.io/?url=https://raw.githubusercontent.com/JATOS/JATOS/api_token/jatos-api.yaml">Have a look</a></li> </ul> </li> <li>New results export format: <a href="https://www.jatos.org/JATOS-Results-Archive-JRZIP.html"><strong>JATOS results archive (JRZIP)</strong></a></li> <li>Formalize the study exchange format: <a href="https://www.jatos.org/JATOS-Study-Archive-JZIP.html"><strong>JATOS study archive (JZIP)</strong></a></li> <li>GUI: <strong>Simpler result pages</strong> and support of JATOS Result Archives (JRZIP)</li> <li>GUI: Study links page - remove <em>All Workers</em> button</li> <li><em>jatos.js</em>: Standardize the behavior of empty/<em>null</em> in <em>jatos.studyJsonInput</em>, <em>jatos.componentJsonInput</em> and <em>jatos.batchJsonInput</em> (<a href="https://github.com/JATOS/JATOS/pull/277">#277</a>)</li> <li>Fix result data size checking of <em>jatos.submitResultData</em></li> <li>Fix issue with JATOS on Windows - sometimes <em>loader.bat</em> closes immediately (<a href="https://github.com/JATOS/JATOS/issues/265">#265 </a>)</li> </ul> <p>Previous releases: <a href="https://github.com/JATOS/JATOS/releases">github.com/JATOS/JATOS/releases</a></p> <h2>Which variant do I need?</h2> <ul> <li>If you have <strong>Java</strong> (version 8 or 11) already installed (all OS): <em>jatos.zip</em></li> <li><strong>No Java</strong> installed: Choose according to your OS between<ul> <li><em>jatos_win_java.zip</em></li> <li><em>jatos_mac_java.zip</em> (if you have problems <a href="https://github.com/JATOS/JATOS/issues/236#issuecomment-865868485">install your own Java with brew</a>)</li> <li><em>jatos_linux_java.zip</em></li> </ul> </li> <li>If you prefer <strong>Docker</strong>: <a href="https://hub.docker.com/r/jatos/jatos/tags?page=1">hub.docker.com/r/jatos/jatos</a></li> </ul&gt