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Immediate and appropriate treatment for severely ill patients should be a top priority in healthcare. To get the treatment they need, they should have to go quite a distance. Patients may have significant health complications as a result of this journey. It is imperative that we shift away from this outdated model of healthcare and towards a more modern one so that people from all over the globe may get the care they need. The idea behind remote healthcare is that patients may access their physicians and other medical professionals from any location with the tap of a finger on a smartphone. From the standpoint of illness prevention, monitoring, hospital administration, and medical research, this distant healthcare incorporates several features made possible by contemporary information technology. Network of Things, fifth-generation wireless technology, data analytics on the cloud, microelectronics, AI, etc. All parts of remote healthcare may be improved by these technology. The healthcare business relies on data security measures to safeguard patients' private health information. Internet of Things (IoT) devices should provide privacy and security features in addition to remote data transmission. Such safety issues are addressed by constructing a hybrid database environment. Secure storage of patient data is an important design goal of the hybrid database system. Public and private data coexist in a hybrid database. A private database stores the personally identifiable information of patients, whereas a public database stores the rest of the raw data. Public data is encrypted using an advanced encryption standard technique, while private data is encrypted using the Fernet scheme. An advantage of using a hybrid database to store sensitive and non-sensitive data is the increased security it provides. Total calculation time, encryption time, and decryption time of AES and Fernet encryption are some of the metrics used to assess the suggested system's performance. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT)-based health monitoring devices may be very helpful for COVID-19 pandemic patients. The main goal of patient monitoring in post-covid life is to have a quantitative assessment of the vital physiological markers of patients. An IoT-based health monitoring and surveillance system is presented in this paper after the COVID pandemic. This device monitors a patient's oxygen saturation level, heart rate, temperature, pulse rate, and systolic and diastolic blood pressure. New evidence suggests that ML and AI approaches could considerably mitigate the viral attack. In this article, we establish a collaboration between an IoT system and a machine learning prediction model to keep tabs on people's health in the post-COVID age. The algorithm's severity forecasts for patients were very accurate, taking into account a number of criteria including laboratory data and vital signs. The data was analysed using two classification techniques: random forest (RF) and support vector machine (SVM). Multiple techniques were used to pre-process the data. Outperforming the SVM, RF achieved a score of 0.956. [ABSTRACT FROM AUTHOR]

Using first principle calculation we have studied the structural, electronic and magnetic properties of four different stoichiometry of Copper Thiocyanate (CuSCN); namely 1) CSCuN, 2) CNCuS, 3) CuSCN and 4) SCNCuSCNCu. The calculated binding energy revels the stability factor of different stoichiometry and found that the CuSCN and SCNCuSCNCu have highest binding energy magnitude with negligible magnetic moment. The antiferromagnetic behavior is observed in all stoichiometry expect CuSCN. The reason of spin polarized metallic behavior is discussed. Our results show that the CuSCN can induce the half metallic nature which is crucial parameters for several futuristic applications. [ABSTRACT FROM AUTHOR]

The world populace is increasing exponentially, thus bringing many challenges to urban planning and the transportation sector. The evolution of cities has come up with many changes in technology and advancements, as transportation is one of the major components of planning and governance. The changes bring in issues such as pollution, traffic congestion, accidents, mismanagement of services, lack of transport facilities and exploitation of resources, which are to be resolved by a more focused approach in the transportation systems. This paper will discuss about the approaches and best practices in transportation sector around the globe in a better way to understand a streamlined viewpoint of the existing practices and the best to opt for in policy making and governance undertaken by the danger of global concerns like climate change and global warming, on which there are agendas such as the United Nations Sustainable Development Goals and the most current discussion on Zero Carbon Emissions in United Nations Climate Change Conference (COP 26). The best practices provide the different challenges and techniques to fight and improve the hourly need both for the present and the future mobility. [ABSTRACT FROM AUTHOR]

Creation of concrete outcomes in outflow of a comparable measure of carbon dioxide which is a green-house gas into environment causing an unnatural weather change. Fly debris and ground granulated impact heater slag (GGBS) has cementitious material properties and thus can be utilized as substitute material for concrete to defeat the ecological issues. During power age in warm plants huge quantity of fly debris is created as a side-effect, removal of which is issue and comparably GGBS is supportive of reduced in steel plants. Stream sand access is likewise getting all the more exorbitant and restricted due to unlawful digging in this manner fabricated sand is utilized as another for waterway sand. Thus, in this investigation an endeavour is made to contemplate the compressive strength and flexural strength of geo-polymer concrete made of M sand exposed to warm relieving at 500C and 600C with various proportions of the activator arrangements, molarities of soluble arrangement presented to raised temperature. Sodium Hydroxide and Sodium Silicate arrangements were utilized as antacid activators in various blend extents. Geopolymer is regularly known as inorganic aluminohydride polymer which is blended prevalently from silicon and aluminium particles in fly ash and GGBS. [ABSTRACT FROM AUTHOR]

The construction of tunnel is challenging inHimalayan terrain because its uncertain nature. Many times, things remain unnoticed during the tunneling operations even with surface mapping and geotechnical investigations which ultimately create hardship in the construction of tunnels. The solution of this problem is important because tunnels are important mode of communication by road, railways, pipelines and for defense purposes. The nature of the tunnel varies according to their usage. The construction will depend on the conditions of soil, ground water and nature of the rock present in that area. Tunnels are important as it connect many urban or villages together and make travel shorter and cheap. Earlier it is much time consuming to construct a tunnel as it took too much time but now a days with the advancement of technology tunnels become bit easier and safer. The inspection of the tunnel is also very necessary before and after the tunneling operations. In our paper we are showing some older and new techniques which are using in the Himalayan terrain. [ABSTRACT FROM AUTHOR]

Earth is getting contaminated by different sources and it affects various factors. Pure water is the most essential need for living creatures. Although, there are different reasons by which heavy metals get dissolved in water but industrial waste like metal wastage, chemical wastage, clothing dyes, etc are the main reasons by which water gets polluted. As there are many techniques like precipitation, chromatography, electrophoresis and ion exchange, etc and biosorption is one of the conventional methods. Here, this lignin extracted from walnut shells is considered a bio-sorbent that adsorb heavy metals like copper from wastewater. Lignin is a naturally occurring biomass abundantly found in agricultural waste, paper pulp, and wood residue. Certain lignin modifications are done to get a higher absorbance rate of heavy metals in a quick period. Lignin-based nanoparticles with proper alignment absorb more. Sorption by lignin-based nanoparticles is the most appropriate method than other available methods for heavy metal removal as it is not expensive, easily available material, and no need for a heavy setup. [ABSTRACT FROM AUTHOR]

Many types of research had shown that daylight is crucial for the classroom as it saves energy, reduces the consumption of fossil fuel, and increases the productivity and writing, and reading speed of the students. Daylight in the classroom is measured by different metrics like Static, Dynamic, and Distribution. Daylight Uniformity ratio falls in the distribution metric category. This uniformity ratio is similarly important as lighting levels as it helps to obtain visual comfort within the classroom as poor daylight uniformity ratio will not only cause glare but will increase the tendency of using artificial lights. This research aims to analyze the impact of the light shelves on the uniformity ratio of the classroom only due to natural light. For the purpose, uniformity ratio (UO) analysis in presence of light shelves was conducted out in the typical classroom of Kendriya Vidyalaya (K.V), Patna of south orientation. A field study was carried out through spontaneous lighting levels to validate the computer simulations for assessing the visual comfort in K.V. The study shows a positive increment in Uniformity ratio after adding the light shelves in the classroom of south orientation; however these increase in Uniformity ratio changes with the respect of sun position, altitude, and orientation. Conclusions about possible modifications can be suggested to achieve a better uniformity ratio in similar types of classrooms within Patna and other areas of which are falling under similar types of climate in India. [ABSTRACT FROM AUTHOR]

Principal Component Analysis (PCA) is a well-established multivariate analysis technique that helps in reducing dimensions of big datasets (possibly correlated variables) into a fewer number of uncorrelated variables known as principal components. Now a day's its application can be seen in biostatistics, marketing, sociology and other fields. In order to determine the pattern of variation with a view to identifying potential improvement in the parent population, this study aims to empirically demonstrate the application of the principal component analysis by the use of grain yield and its component characteristics data for fifty maize genotypes in the North-West plain area of India were collected from AICRP Annual Maize Progress Report of Kharif 2018. [ABSTRACT FROM AUTHOR]

In the present study, the influence of visible rock textures on the durability and strength characteristics of different rocks viz. shale, slate, phyllite, gneisses, granites, schists, metabasics, dolostone and quartzites were investigated. A total twenty seven rock blocks with distinct and visible textural features collected from the Himalayan terrain were studied for the purpose. The minerological and textural features of rocks were studied under optical microscope. The slake durability index (Id) and unconfined compressive strength (UCS) through indirect test i.e. point load test for each group of rock types were determined in the laboratory using standard ISRM suggested methods. It has been observed that rocks located near the major geological thrusts and faults have undergone deformation because of the tectonic activity around these faults and thrusts, and thus resulted either in reduction in grain sizes or mylonitization and exhibits exceptionally higher UCS in rocks like granite and dolomite contrast to rocks located away from the thrust and fault whereas in amphibolites, the lower UCS is due to development of schistosity in amphibolites near fault/thrust. The rocks with higher mica or clay contents disintegrate faster and having lower strength values. It has been observed that the mineral contents of the rock influence their durability rather than textures. [ABSTRACT FROM AUTHOR]

Deep learning has played a pivotal role in solving a wide array of problems. These powerful models can also be used for detecting mental illness. Knowing this in advance shall help individuals to utilize appropriate prophylactic measures and might even help cure them. Reddit is used to identify one's language patterns through social media posts. Machine Learning and Deep Learning are used to develop promising models that predict if a person is likely to show signs of mental illness. Machine Learning(ML) and Deep Learning(DL) based models like Logistic Regression, Artificial Neural Networks(ANN),Convolution Neural Networks(CNN) and state-of-the-art models like Bi-Directional Encoder Representations from Transformers are leveraged. Results showcase that Deep Learning shows promising results and can be utilized as an 'initial measure' of finding if a person has a mental illness and with accuracy scores of above 80% they can prove to be a 'game changer'. [ABSTRACT FROM AUTHOR]