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Cloud computing is one of the evolving fields of technology, which allows storage, access of data, programs, and their execution over the internet with offering a variety of information related services. With cloud information services, it is essential for information to be saved securely and to be distributed safely across numerous users. Cloud information storage has suffered from issues related to information integrity, data security, and information access by unauthenticated users. The distribution and storage of data among several users are highly scalable and cost-efficient but results in data redundancy and security issues. In this article, a biometric authentication scheme is proposed for the requested users to give access permission in a cloud-distributed environment and, at the same time, alleviate data redundancy. To achieve this, a cryptographic technique is used by service providers to generate the bio-key for authentication, which will be accessible only to authenticated users. A Gabor filter with distributed security and encryption using XOR operations is used to generate the proposed bio-key (biometric generated key) and avoid data deduplication in the cloud, ensuring avoidance of data redundancy and security. The proposed method is compared with existing algorithms, such as convergent encryption (CE), leakage resilient (LR), randomized convergent encryption (RCE), secure de-duplication scheme (SDS), to evaluate the de-duplication performance. Our comparative analysis shows that our proposed scheme results in smaller computation and communication costs than existing schemes.

This research highlights the psychological experience of the characters in the collection of short stories How to Pronounce Knife (2020), by Souvankham Thammavongsa. Souvankham Thammavongsa is a contemporary writer from Canada. She was born in a Lao refugee camp. She won notable awards like the Giller Prize for her works which include How to Pronounce Knife, a collection of short stories. This book talks about several experiences of the Diaspora people. This paper examines, by using Freud’s Psychoanalytical theory, the characters in the collection of short stories How to Pronounce Knife. It is crucial to identify and examine specific instances from the short story collection that illustrate the psychoanalytical theory, which explores the intricacies of human desires and dreams, their inherent presence in human nature. The characters in this short story collection have certain features that showcase their personalities as diasporic people. By using some of the major themes of Diaspora, this paper explores the psychological pain and suffering of the diaspora characters in this short story collection How to Pronounce Knife.  

Four main factors are considered in this study: welding speed, tool rotation speed, tilt angle, and tool diameter ratio (shoulders and pins). The study used a statistical technique called design of experiments, and the fit of the model was assessed by analysis of variance. Student’s t -test and p-test were used to determine the significance of the developed model. The results of the test showed that the diameter ratio of the tool had the most significant effect, as determined by its P value. After the diameter ratio, welding speed and tool rotational speed, tilt angle were found to be the next influential parameters. The highest recorded strength of 245 MPa was obtained under the following conditions at rotational speed of 900 rpm, welding speed of 100 mm/min, tilt angle of 1.5°. Optimal heat input during friction stir welding may be the reason for higher strength and balanced material flows can be produced a sound joint.

Chess functions as both a powerful metaphor and a structural element. It is more than just a game - it is a layered metaphor in which minds wage an invisible battle within and against one another. In literature, it is used as a metaphor, narrative device, and symbolic tool. It has been incorporated to represent the battle of intellect, power play, and strategic planning. This resonates with entrapments beyond the board, capturing the tensions in character dynamics, narrative pacing, and symbolic representations. This paper explores the intricate dynamics of Chess, Crime and Conspiracy in Ronan Bennett’s Zugzwang. Set in pre-revolutionary Russia of 1914, the narration follows Dr. Otto Spethmann, a psychoanalyst and chess enthusiast who becomes entangled in political intrigues and power plays of various factions. This paper examines the exemplary employment of the chess motif to illuminate the complex tapestry of power politics, moral tensions, and shifting loyalties. It highlights how Bennett uses chess moves to metaphorically intertwine them with crime and conspiracy through impossible choices and dilemmas faced by individuals caught in the machinations of forces beyond their control.

Terry Pratchett and Neil Gaiman’s (1990) Good Omens offers an apocalyptic rewrite of mythology, making it clear that Pestilence has been overthrown and replaced with Pollution as one of the Four Horsemen of the Apocalypse. This replacement reflects contemporary shifts of the cultural spotlight from the fear of infectious disease, which peaked in the mid-20th century, to the slow, gradual, and pernicious environmental damage caused by human agency. This shift continues through the current concerns of ecological collapse and climate change. Conventional wisdom suggests that in the Book of Revelation, Pestilence represents disease and decay. However, in Good Omens, Pollution symbolizes humanity’s most pressing existential threat: ecological devastation. Unlike apocalyptic works like McCarthy’s The Road (2006) and Mad Max, which depict a braver, more violent apocalypse, Good Omens critiques environmental destruction through humor and satire. Pollution is characterized as a passive yet powerful protagonist, representing modernity’s acceptance of ecological violence, spoofing obscene consumerism, and highlighting the destructiveness of modern societal habits. Through the lens of eco-criticism, this paper discusses how Good Omens interrogates current ecological worries and contributes to the conversation around climate justice. This approach ultimately leads to an insightful exploration of how Pestilence’s reframing as Pollution challenges the tropes of the apocalyptic genre, engaging with broader ecocritical and cultural discussions about the role literature can play in shifting perspectives on the ecological crises faced today.

In the present investigation, tensile, impact, microhardness properties and metallurgical behaviour of Manual Metal Arc Welded (MMAW) 316LN Stainless Steel (SS) were analysed and discussed. From this investigation, it was observed that the optical micrograph of the weld metal region solidified in a fully austenitic mode along with small volume fractions of δ-ferrite. The existence of δ-ferrite enhances the strength but reduces ductility and toughness. The microhardness of the weld metal region is higher than others. The tensile properties are superior to 316LN SS and the failure of the transverse tensile specimens was found at the base metal region. The fracture surfaces of both impact toughness and tensile specimens have shallow dimples and flat facets.

Purpose Super 304HCu super austenitic stainless steel tubes containing 2.3 to 3 (Wt.%) of copper (Cu) is used in superheaters and reheater tubings of nuclear power plants. In general, austenitic stainless steels welded by conventional constant current gas tungsten arc welding (CC-GTAW) produce coarse columnar grains, alloy segregation and may result in inferior mechanical properties. Pulsed current gas tungsten arc welding (PC-GTAW) can control the solidification structure by altering the prevailing thermal gradients in the weld pool. Design/methodology/approach Super 304HCu tubes of Ø 57.1 mm and the wall thickness of 3.5 mm were autogenously welded using CC and PC-GTAW processes. Joints are characterized using optical microscopy, electron microscopy, energy dispersive spectroscopy and electron backscatter diffraction (EBSD) techniques. Hot tensile properties of the weld joints were evaluated and correlated with their microstructural features. Findings Current pulsing in GTAW has resulted in minimal eutectic film segregation, lower volume % of delta ferrite and appreciable improvement in tensile properties than CC-GTAW joints. Originality/value The EBSD boundary map and inverse pole orientation map of Super 304HCu weld joints evidence the grain refinement and much frequent high angle grain boundaries achieved using weld current pulsing.

The COVID-19 pandemic has created a major challenge for countries all over the world and has placed tremendous pressure on their public health care services. An early diagnosis of COVID-19 may reduce the impact of the coronavirus. To achieve this objective, modern computation methods, such as deep learning, may be applied. In this study, a computational model involving deep learning and biogeography-based optimization (BBO) for early detection and management of COVID-19 is introduced. Specifically, BBO is used for the layer selection process in the proposed convolutional neural network (CNN). The computational model accepts images, such as CT scans, X-rays, positron emission tomography, lung ultrasound, and magnetic resonance imaging, as inputs. In the comparative analysis, the proposed deep learning model CNN is compared with other existing models, namely, VGG16, InceptionV3, ResNet50, and MobileNet. In the fitness function formation, classification accuracy is considered to enhance the prediction capability of the proposed model. Experimental results demonstrate that the proposed model outperforms InceptionV3 and ResNet50.

Application of flow past bluff bodies like (cylinders, spheres etc) has been spread to other engineering fields (e.g., ship hydrodynamics, pipelines, heat exchangers in nuclear reactors, cooling systems, skyscrapers etc.) and no more a topic of interest only to aerodynamicists. Porous cylinders with sufficient mechanical properties and strength as of solid cylinders will be preferred due to their better fluid flow and heat transfer properties. In this work, an attempt using computational fluid dynamics (CFD) approach was made to compare the fluid flow and heat transfer properties of the porous square cylinder and square solid cylinder for different low Reynolds numbers. An Unsteady Reynolds Averaged Navier-Stokes (URANS) Equations were solved for the two chosen cylinders where turbulence is introduced into the equations through Shear Stress Transport (SST) k-w model. Heat transfer to the flowing fluid from the cylinders is estimated using the Nusselt number. Brinkman model in conjunction with Forchheimer term has been used to develop the flow through the porous media. The study carried out on 3-Dimensional space using commercial software Ansys. Dependence on grid and mesh has been studied by increasing the number of elements by √2 to verify and validate the methodology followed. The study has been done for different low Reynolds numbers, namely, Re = 170, 185, 200 and 250. The results are encouraging the preference of porous square cylinder than solid square cylinder for few applications.

BackgroundSuper 304H austenitic stainless steel tubes containing 2.3 to 3 (wt.%) of Cu are mainly used in superheaters and reheaters of ultra super critical boilers due their excellent corrosion and oxidation resistance. Cu addition causes precipitation strengthening effect by fine Cu-rich precipitates which evolve during creep conditions and results in increased creep strength. The microstructural evolution of stainless steels during welding significantly affects the material properties. MethodsIn this work, solidification mode microstructure and hot tensile properties of autogenous and filler-added Super 304H gas tungsten arc (GTA) welded tube joints were correlated.ResultsAutogenous welds of Super 304H solidified as austenite with 1.57 % delta ferrite and intercellular (Fe,Cr)23(C,B)6 borocarbides. In filler-added welds, the higher Ni equivalent and addition of carbide stabilizing elements (Nb,Mo) eliminated δ ferrite and segregation of B as borocarbides. ConclusionsThe filler-added welds exhibited superior tensile strength than autogenous welds at both room and high temperature.