In this paper, curve-fitting and an artificial neural network (ANN) model were developed to predict R-Event. Expected number of new infections that arise in any event occurring over a total time in any space is termed as R-Event. Real-time data for the office environment was gathered in the spring of 2022 in a naturally ventilated office room in Roorkee, India, under composite climatic conditions.

Among all renewable energy resources, hydropower is the most predictable and reliable source of energy. In the Himalayan region, most of the hydropower plants suffer from the problem of silt erosion. During the monsoon period, the quantum of silt particles is remained quite high, which damages the hydro-mechanical components of the plant. In order to reduce the risk that occurred by the silt erosi

Background: Small-bore chest drains are now the most common drains for treating pleural effusion (PE), but knowledge on complications is limited especially in malignant PE and empyema. We aimed to evaluate rate of complications of ultrasound guided small bore chest drains [6–10 French (F)] by PE etiology. Methods: Retrospective cohort study of 484 chest drains inserted in 330 adults in a Swedish d

The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to study the transmission probability in mixed-mode ventilated office environments. Artificial neural network (ANN) and curve fitting (CF) models were created to forecast the R-Event. The R-Event is defined as the anticipated number of new infections that develop in particular events occurring over the course of

Energy has played a significant role in developing civilization, but the continuous use of fossil fuels has hampered the environment. Hydropower is the alternative to fossil fuels. But most of the hydropower plants in hilly areas suffer from silt erosion problems. Erosion of underwater parts creates vibration and noise and reduces machine efficiency. Therefore, online monitoring of turbines and ot

Hydropower is a renewable, reliable, and highly predictable source of energy. It has been used for centuries. The tariff of energy generation is divided into two parts: fixed charges and variable charges. Fixed charges are based on the availability of machinery (i.e., plant availability factor) and variable charges are based on the actual energy generation. The energy generation targets are decide

The first book in this exciting new series, written and edited by a group of international experts in the field, this exciting new volume covers the latest advances and challenges in the next generation of antennas. Antenna design and wireless communication has recently witnessed their fastest growth period ever in history, and these trends are likely to continue for the foreseeable future. Due to

Peripheral nerve injuries in the upper limb can lead to substantial disability and pain. We aimed to assess how socioeconomic factors affect outcomes after repaired or reconstructed digital or major nerve trunk injuries in the upper limb. We identified 670 individuals, who underwent surgical nerve repair or reconstruction using sensory nerve autografts, in the Swedish National Quality Registry for

Quest for harnessing clean and affordable electricity has increased renewable energy installations, especially the rooftop solar photovoltaic (PV) systems in many residential homes; simultaneously, such homes are connected to the utility grid for reliable energy service, creating a hybrid power supply system (HPSS). However, the most stressful challenge with the HPSS is the confounding condition o

Due to the corrosion problem in reinforced concrete structures, the use of fiber-reinforced polymer (FRP) bars may be preferred in place of traditional reinforcing steel. FRP bars are used in concrete constructions to boost the strength of structural elements and retain their longevity. In this study, the axial load carrying capacity (ALCC) of the FRP-reinforced concrete columns has been evaluated

The world is experiencing deep climate changes caused by increased population and rapid urbanization. Hydropower is one of the renewable energy sources that can be used to meet energy demands, but most of the hydropower plants suffer from silt erosion and cavitation problems. Therefore, it is important to decide which parts to be repair or replace, as it affects the Operation and Maintenance (O&am

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear inter

Hydropower is one of the most promising sources of renewable energy. However, a substantial initial investment requires for the construction of large civil structures. Feasibility study, detailed project report preparation, construction planning, and timely execution of work are the important activities of a hydropower plant. Energy generation in hydropower plants are mainly depends on discharge a

Det övergripande syftet med studien är att fördjupa förståelsen av begreppet kommunal kapacitet och dess olika aspekter. Mer specifikt beskrivs hur företrädare inom den kommunala sektorn uppfattar och hanterar upplevda utmaningar inom samhällsbyggnadsområdet. Ambitionen är att skapa en nyanserad och strukturerad bild av kommunernas kapacitet att delta i och påverka samhällsbyggandet med lokalpolitThe overall purpose of this study is to deepen the understanding of the concept of municipal capacity and its various aspects. More specifically, the report describes how representatives within the municipal sector perceive and address perceived challenges in urban development. In doing so, the ambition is to create a nuanced and structured view of municipalities’ capacity to participate in and in

Corrosion of embedded steel reinforcement is the prime influencing factor that deteriorates the structural performance and reduces the serviceability of reinforced concrete (RC) structures, especially during earthquakes. In structural elements, RC columns play a vital role in transferring the superstructure's load to the substructure. The deterioration of RC columns can affect the structures' over

The ability of machine learning (ML) techniques to forecast the shear strength of corroded reinforced concrete beams (CRCBs) is examined in the present study. These ML techniques include artificial neural networks (ANN), adaptive-neuro fuzzy inference systems (ANFIS), decision tree (DT) and extreme gradient boosting (XGBoost). A thorough databank with 140 data points about the shear capacity of CR

Hydropower is one of the renewable energy sources that can play a crucial role to fulfil the global energy demand. However, the performance of the hydro turbine is severely affected by silt erosion and cavitation problems which causes a reduction in the overall efficiency of the plant. Various studies have been carried out and are available in the literature to investigate silt erosion and cavitat

The degradation of reinforced concrete (RC) structures has raised major concerns in the concrete industry. The demolition of existing structures has shown to be an unsustainable solution and leads to many financial concerns. Alternatively, the strengthening sector has put forward many sustainable solutions, such as the retrofitting and rehabilitation of existing structural elements with fiber-rein

The total area of Uttarakhand is about 53,483 km2, where 86% area is mountainous and 65% is covered by forest. The two main rivers Ganga and Yamuna originate from Uttarakhand. In addition to these two rivers, Uttarakhand has a large river and canal network that provides hydropower with immense reach. In 1907, one of India’s first hydropower stations was commissioned at Galogi (Uttarakhand). At p

India is the 7th largest country by area and 2nd most populated country in the world. The reports prepared by IQAir revels that India is 3rd most polluted country after Bangladesh and Pakistan, on the basis of fine particulates (PM2.5) concentration for the year 2020. In this article, the quality of air in six Indian cities is predicted using data-driven Artificial Neural Network. The data was tak