The object of the study is the process of managing a swarm of drones with a possible break in the communication channel with the control hub, which will reduce the risks of losing swarm members in ...case of loss of communication with the hub, due to the construction of a duplicate control system. The aim of the work is to avoid the drone hanging in an uncertain state when communication with the control hub is lost due to the construction of a redundant control system module based on the IoT Edge Module, which uses a simple pre-trained image classifier to search for a gesture and launches a landing scenario in case of loss of communication with IoT hub. The proposed approach allows the module to be deployed on each member of the swarm, imposing interoperability requirements, and the deployment on each drone allows the autonomous landing scenario operations to be performed independently, in isolation. The use of the IoT Edge deployment model allows building independent modules for state monitoring and control, which makes it possible to build more complex logic of the swarm control system, and the use of a pre-trained recognition model does not require deep knowledge of neural networks. Ref. 12, fig. 6
Methylene blue (MB) has been shown to act at multiple cellular and molecular targets and as a result possesses diverse medical applications. Among these is a high potency reversible inhibition of ...monoamine oxidase A (MAO-A) that may, at least in part, underlie its adverse effects but also its psycho- and neuromodulatory actions. MB is metabolized to yield N-demethylated products of which azure B, the monodemethyl species, is the major metabolite. Similar to MB, azure B also displays a variety of biological activities and may therefore contribute to the pharmacological profile of MB. Based on these observations, the present study examines the interactions of azure B with recombinant human MAO-A and -B. The results show that azure B is a potent MAO-A inhibitor (IC
50
=
11
nM), approximately 6-fold more potent than is MB (IC
50
=
70
nM) under identical conditions. Measurements of the time-dependency of inhibition suggest that the interaction of azure B with MAO-A is reversible. Azure B also reversibly inhibits the MAO-B isozyme with an IC
50 value of 968
nM. These results suggest that azure B may be a hitherto under recognized contributor to the pharmacology and toxicology of MB by blocking central and peripheral MAO-A activity and as such needs to be considered during its use in humans and animals.
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► Methylene blue (MB) is a known potent MAO-A inhibitor. ► Azure B, the major metabolite of MB, is more potent as a MAO-A inhibitor. ► Azure B may be a contributor to the CNS pharmacology and toxicology of MB.
•Blockchain-based traceability solutions bring better transparency in supply chain.•Literature on blockchain-based traceability solutions are mostly conceptual.•Blockchain cannot supersede the ...existing technologies, but can complement them.•Smart contracts make blockchain traceability solutions more effective.•Blockchain based traceability systems are not free from shortcomings.
Traceability can be referred to as the ability to track and trace information. Application of traceability can create transparency in supply chains. Conventionally available, centralized traceability solutions are not preferable for supply chains as they are exposed to many problems such as data manipulations, single point of failure, etc. Blockchain, the recently emerged distributed ledger technology, is gaining popularity with its tremendous applications in various fields, particularly in supply chain management. Technically, blockchain is a decentralized and distributed database where information can be securely recorded. Blockchain-based traceability solutions can tackle the shortcomings of centralized traceability solutions. Firms have already started incorporating blockchain into their supply chain activities in order to improve the transparency through tracking and tracing the events. This paper ultimately aims to present an overview of the various blockchain-based traceability solutions reported in the literature. Primarily, this work provides an insight on the possibilities of blockchain traceability solutions in making a supply chain transparent. Apart from this, it analyses how blockchain traceability solutions affect the visibility of various supply chain distribution network designs, and gives an outline on how technologies such as the Internet of Things (IoT), and smart contracts elevate the opportunities of blockchain. In order to demonstrate how blockchain traceability solutions improve supply chain transparency, a Proof of Concept (PoC) for a cold chain scenario is presented using Microsoft Azure Blockchain Workbench.
The azo dyes in textile industry are a major source of environmental pollution and cause serious threat to aquatic flora and fauna. The present study aims to evaluate the potential of previously ...isolated lignin peroxidase (LiP) enzyme producing Serratia liquefaciens in degradation of Azure-B (AB) dye. S. liquefaciens showed rapid decolourisation of AB dye (100 mg L−1) in mineral salt medium (MSM) supplemented with 0.2% glucose and yeast extract, and more than 90% dye decolourisation was observed at 48 h when incubated at 30 °C. Decolourisation conditions were optimized by Response Surface Methodology (RSM) using Box-Behnken Designs (BBD). The dye degradation was further confirmed by ATR-FTIR and GC-MS analysis. Toxicological studies of untreated (UT) and bacterial treated (BT) AB dye solutions were studied by using phytotoxicity, genotoxicity and cytotoxicity endpoints. Phytotoxicity assay using Vigna radiata indicated that bacterial treatment led to detoxification of AB dye. Genotoxicity assay with Allium cepa showed that pure AB dye solutions significantly reduced mitotic index (MI) and induced various chromosomal abnormalities (CAs) like c-mitosis, stickiness, chromosome break, anaphase bridges, vagrant chromosomes and binucleated and micronucleated cell in the root tip cells, whereas, bacterial treated solutions induced relatively less genotoxicity in nature. Improved cell survivability (%) was also noted in kidney cell line (NRK-52E) after S. liquefaciens treated dye solutions than the pure dye solutions. The findings suggest that S. liquefaciens could be a potential bacterium for azo dye degradation, as it is effective in lowering of toxic effects of AB dye.
•Bacterial treatment led rapid decolourisation of Azure-B dye.•ATR-FTIR and GC-MS analysis confirmed dye degradation.•Pure dye exhibited phytotoxic, cytotoxic and genotoxic effects.•Bacterial treated dye solution was less toxic in nature.
Each data warehouse requires loading properly processed transactional data. The process that performs this task is known as extract-transform-load (ETL). The efficiency of its implementation affects ...how quickly the user will have the access to the current analytical data. The paper presents the results of research efficiency of ETL performance of its stage with the use of Azure Synapse (AS) and Azure Data Factory (ADF). The research included selection, sorting and aggregating data, joining tables, and loading data into target tables. To evaluate the efficiency of these operations, the criterion of their execution time has been used. The obtained results indicate that the ADF tool provides a much higher time efficiency of loading transactional data into the data warehouse comparing to AS.
Microsoft Azure has numerous effective solutions but the biggest challenge that architects and administrators face is implementing these solutions appropriately. This Learning Path focuses on various ...scenarios that will help overcome the challenge of implementing Azure solutions while helping you prepare for the Microsoft Architect exam.
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•Bi2MoZnO7 (BMZ) nanocomposite nanoparticles was synthesized successfully.•Catalytic efficiency of nanoparticles was investigated by Azure B.•Method is ecofriendly and economically ...viable.•Organic pollutants can be degraded easily in wastewater.•LEDs irradiations were used as source of light.
The present time nanocomposites show highly improved photocatalytic performance in water pollution remediation technology. Herein, BMZ (Bi2MoZnO7) nanocomposite photocatalyst has been synthesized via the co-precipitation method. The structural and morphological studies were interpreted by analytical techniques including X-Ray Diffraction (XRD), Field emission scanning electron microscopy (FE-SEM), Transmission electron microscopy (TEM), and Energy Dispersive X-ray (EDX) analyses. The accomplishment of photocatalysis was determined by the mineralization of toxic azure B dye using a light-emitting diode (LED) as a source of radiation. The characterization studies revealed that the average particle size of BMZ nanocomposite was 28 nm with a flake-like structure having a smooth surface. An EDX spectrum shows the characteristic peaks of Bi, Mo, Zn, and O elements. The parameters such as pH, dye concentration, catalyst weight, reusability of photocatalyst, Fenton’s reagent, CO2, COD, NO3− and SO42− evaluation, and N2 and O2 purging were studied for optimum conditions. Fenton’s reagent test is one of the green approaches in which OH is generated that is utilized for the degradation of toxic azure B dye. The photocatalytic degradation in Fe2+/H2O2/BMZ/Azure B system, high value of the rate constant was recorded as compared to the experiments, performed without BMZ nanocomposite photocatalyst. The eco-friendly LEDs irradiation was applied as a light source material throughout the experiment. The 98 % degradation of toxic azure B dye was observed in 120 min with the highest rate constant (k = 6.1 × 10−4 s−1) in LEDs irradiation.
Accelerate computations and make the most of your data effectively and efficiently on DatabricksKey FeaturesUnderstand Spark optimizations for big data workloads and maximizing performanceBuild ...efficient big data engineering pipelines with Databricks and Delta LakeEfficiently manage Spark clusters for big data processingBook DescriptionDatabricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud.In Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains.By the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently.What you will learnGet to grips with Spark fundamentals and the Databricks platformProcess big data using the Spark DataFrame API with Delta LakeAnalyze data using graph processing in DatabricksUse MLflow to manage machine learning life cycles in DatabricksFind out how to choose the right cluster configuration for your workloadsExplore file compaction and clustering methods to tune Delta tablesDiscover advanced optimization techniques to speed up Spark jobsWho This Book Is ForThis book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. Readers will need to have a working knowledge of Python, and some experience of SQL in PySpark and Spark SQL is beneficial.Table of ContentsDiscovering DatabricksBatch and Real-Time Processing in DatabricksLearning about Machine Learning and Graph Processing in DatabricksManaging Spark ClustersBig Data AnalyticsDatabricks Delta LakeSpark CoreCase Studies
Microsoft Azure Architect Technologies: Exam Guide AZ-300 is a complete guide that will help you master topics related to Azure architect practices. Using this guide, you will have all the ...information required to take the AZ-300 exam and become a Microsoft Azure Architect expert.
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