Effect of Plasma Antenna Shape on the Antenna Performance Using Plasma Computer Simulation Technology (CST)

The manipulation of fluorescent lamps in terms of size and shape was done to investigate the performance of the fluorescent-based plasma antenna. In order to fully utilize different types of commercially available fluorescent lamps, this research dealt with the effects of different shapes and types of fluorescents lamp available in the market. The aim of this research is to test the performance of fluorescent lamps with three basic shapes, namely tubular, 2U and 3U as plasma antennas by means of return loss, gain, directivity and radiation pattern. The electrical properties were determined using the current and voltage probes connected to a digital oscilloscope. Glomac programming was used to generate the average electron density and electron temperature values, using the measured electrical properties. Those parameters are crucial for calculating the plasma parameters i.e., collisions and plasma frequencies. Plasma parameter values were used in Computer Simulation Technology (CST) to simulate antenna performance. From the s-parameter or return loss results, this kind of plasma antenna radiated best at frequencies ranging from 3 to 5 GHz with the best at -41 dB using the 2U type. The gain was within the range of 0.6 dB to 2.3 dB allowing the tubular type to have the best result. The best radiation pattern was shown by tubular shaped lamp due to its uniform and symmetric main lobes in the lower and upper planes. The physical parameters of the fluorescent lamp influenced the amount of current needed to ionize the gas in the lamp. This caused the production of many electrons which altered the average electron density and its temperature. As a result, it can be concluded that by varying the shape of lamps, the plasma and collision frequencies will be affected, and consequently affecting the plasma antenna performance

Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage

\ua9 The Author(s) 2025. The Human BioMolecular Atlas Program (HuBMAP) aims to construct a 3D Human Reference Atlas (HRA) of the healthy adult body. Experts from 20+ consortia collaborate to develop a Common Coordinate Framework (CCF), knowledge graphs and tools that describe the multiscale structure of the human body (from organs and tissues down to cells, genes and biomarkers) and to use the HRA to characterize changes that occur with aging, disease and other perturbations. HRA v.2.0 covers 4,499 unique anatomical structures, 1,195 cell types and 2,089 biomarkers (such as genes, proteins and lipids) from 33 ASCT+B tables and 65 3D Reference Objects linked to ontologies. New experimental data can be mapped into the HRA using (1) cell type annotation tools (for example, Azimuth), (2) validated antibody panels or (3) by registering tissue data spatially. This paper describes HRA user stories, terminology, data formats, ontology validation, unified analysis workflows, user interfaces, instructional materials, application programming interfaces, flexible hybrid cloud infrastructure and previews atlas usage applications

Predictive Health Analytic Model in Federated Cloud

Predictive Health Analytic is a challenging discipline in healthcare industry where knowledge can be transferred into action. The basic steps in predictive modeling are to define the problem, gather the initial necessary data and evaluate several different algorithm approaches. Later his process to be refined by selecting best performing models, testing with bench mark data sets and real world setting. Predictive analytics helps to extract useful knowledge and support in making decisions. In this paper, federated health providers are interconnected by using brokers, gather information and helps in decision making related to the issues of health. Each provider has provided the awareness about the distinct diseases, predict the possible level of diseases affected and the mode of treatment. Simulation result reveals that the proposed architecture is essential for the present needs of human life.</jats:p

Compendious Review on “Internal Flow Physics and Minimization of Flow Instabilities Through Design Modifications in a Centrifugal Pump”

Centrifugal pumps are one of the significant consumers of electricity and are one of the most commonly encountered rotodynamic machines in domestic and industrial applications. Centrifugal pumps operating at off-design conditions are often subject to different periodic flow randomness, which in turn hampers functionality and performance of the pump. These limitations can be overcome by modification in the conventional design of different components of a centrifugal pump, which can assuage flow randomness and instabilities, reconstitute flow pattern and minimize hydraulic flow losses. In this article, flow vulnerabilities like pressure and flow inconsistency, recirculation, boundary layer separation, adverse rotor–stator interaction, and the effects on operation and performance of a centrifugal pump are reviewed. This article also aims to review design modification attempts made by different researchers such as impeller trimming, rounding, geometry modification of different components, providing microgrooves on the impeller and others. Based on the findings of this study, it is concluded that some design modifications of the impeller, diffuser, and casing result in improvement of functionality, efficiency, and reduction in pressure fluctuations, flow recirculation, and vibrations. Design modifications should improve the performance without hampering functionality and useful operational range of the pump. Considerable research is still necessary to continue understanding and correlating flow physics and design modifications for the pump impeller, diffuser, and casing.</jats:p

Efficient Task Scheduling in Cloud Computing: A Multiobjective Strategy Using Horse Herd–Squirrel Search Algorithm

Cloud computing (CC) is a technology that enables the delivery of IT services outside of the workplace. CC, on the other hand, has had several drawbacks. The task scheduling issue is taken as one of the important difficulties because a solid mapping between available resources and users’ activities is essential to reduce the execution time of users’ jobs (i.e., minimize makespan) and maximize resource utilization. Because the service provider must offer several customers’ benefits at distinct times and from distinct locations, task scheduling is indeed a serious challenge in CC. As a result, in the CC environment, these operations must be scheduled in a more dynamic and timely manner. The objective is to provide an enhanced task scheduling algorithm for allocating the task of the user to different computing resources. The major aim of the research work is to reduce the cost and the execution time as well as to improve the resource utilization of the task scheduling problem using the improved support vector machine (ISVM) and the optimization concept. The novel algorithm used here merges two familiar algorithms as squirrel search algorithm (SSA) and the horse herd optimization algorithm (HOA) leading to a new hybrid metaheuristic algorithm called the horse herd–squirrel search algorithm (HO–SSA). The developed HO–SSA assists in introducing a multiobjective optimization for efficiently handling task scheduling issues in the cloud sector. The proposed HO–SSA method for the task scheduling in CC model in terms of cost is 22.22%, 15.73%, and 38.74% better than SSA, HOA, and TSA, respectively. Similarly, the proposed HO–SSA method for the task scheduling in CC model with respect to energy is 9.68%, 5.35%, and 22.50% superior to SSA, HOA, and TSA, respectively. The proposed method outperformed the existing methods like SSA, HOA, and TSA in terms of cost, energy, degree of imbalance, makespan, speedup, and efficiency

Energy Harvesting and Optimization Using Broadcast Channel Approach for MIMO Systems in Wireless Sensor Networks

EM or radio signal enabled WPT in particular. Since radio signals can carry power and information simultaneously, simultaneous data transmission and power transmission (SWIPT). A three-point wireless transmission system (MIMO), in which one receiver harvests power and the other receiver determines the data separately from the signals sent by the standard transmitter, and all transmitters and receivers probably have multiple antennas. Two scenarios are tested, in which the information receiver and the power receiver are separated and detect different MIMO channels from the transmitter, or which are collectively available and detect the same MIMO channel from the transmitter. In the case of split receivers, we find an appropriate transfer strategy to achieve various tradeoffs with a higher amount of data compared to a power transfer, which is reflected by a regional boundary rate-rate (R-E). In the case of co-acquisition recipients, we indicate the external boundary of the accessible R-E region due to the potential limit that power harvest recipients are not yet able to determine the exact details. Under this barrier, it investigates two cohesively formed cases, namely time shifts and power divisions, and then shows their accessible R-E regions in relation to the external boundary.</jats:p