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This study employs a data‐driven machine learning approach to investigate specific ferroelectric properties of Al1−xScxN thin films, targeting their application in next‐generation nonvolatile memory (NVM) devices. This approach analyzes a vast design space, encompassing over a million data points, to predict a wide range of coercive field values that are crucial for optimizing Al1−xScxN‐based NVM devices. We evaluated seven machine learning models to predict the coercive field across a range of conditions, identifying the random forest algorithm as the most accurate, with a test R2 value of 0.88. The model utilized five key features: film thickness, measurement frequency, operating temperature, scandium concentration, and growth temperature to predict the design space. Our analysis spans 13 distinct scandium concentrations and 13 growth temperatures, encompassing thicknesses from 9–1000 nm, frequencies from 1 to 100 kHz, and operating temperatures from 273 to 700 K. The predictions revealed dominant coercive field values between 3.0 and 4.5 MV/cm, offering valuable insights for the precise engineering of Al1−xScxN‐based NVM devices. This work underscores the potential of machine learning in guiding the development of advanced ferroelectric materials with tailored properties for enhanced device performance. [ABSTRACT FROM AUTHOR]

In this paper, we delve into the analysis of the Hepatitis B model, specifically the S E I A I C R model, within the scope of the Caputo–Fabrizio fractional operator. A new state variable the number of vaccinated individuals is also added to the model. This addition enriches the scope of the hepatitis B model inviting a deeper exploration of the subject matter. Our study proves the existence of a disease-free fixed point within the proposed compartmental model. To ensure the existence and uniqueness of the fixed point, we employ a fixed-point result in the b-complete b-dislocated quasi-metric space, utilizing a Geraghty-type contraction mapping. This approach establishes the fixed point of a disease-free state within the model. Furthermore, we employ a two-step Adams–Bashforth numerical scheme, serving as a validation of both the significance of fractional-order derivatives and the validity of our obtained theoretical results. Together our research presents an innovative perspective on the S E I A I C R hepatitis B model pushing the boundaries of understanding and shedding light on the dynamics of disease transmission with the impact of vaccine. [ABSTRACT FROM AUTHOR]

Understanding the complex phenomena of rabies transmission dynamics requires effective tools. This research leverages the capabilities of the fixed‐point approach and employs the theoretical results to solve the model and extract meaningful insights from the results. So, a nonlinear ratio‐dependent incidence rate and a non‐integer Caputo‐Fabrizio derivative have been used to develop the rabies transmission dynamic model. The study investigated the results for the existence and uniqueness of the solution of the model (i.e., unique disease‐free equilibrium point) using Geraghty‐type contraction in b‐complete b‐dislocated quasi metric space. Additionally, determine the stability conditions for the disease‐free equilibrium point that the fixed point theorem provides by examining the range of the parameters. For this, we have established definitions, lemmas, and theorems that provide the conditions for the equilibrium point and its stability conditions for the model that contribute to a deeper understanding of the spread of infection. This research underscores the essential role played by the model and fixed‐point approach in advancing knowledge concerning rabies transmission dynamics. [ABSTRACT FROM AUTHOR]

Malaria is endemic in India and complicated malaria is usually caused by Plasmodium (P) falciparum, but Plasmodium vivax can also cause life-threatening conditions in some cases. We report one such case of 47 years male presenting with myocarditis associated with P. vivax malaria. [ABSTRACT FROM AUTHOR]

Humans interact with computers in a variety of ways, and the interface between them and the devices they use is critical to making this possible. Graphic user interfaces (GUIs) are currently used by desktop programs, internet browsers, mobile computers, and computer kiosks. In speech recognition and synthesising systems, voice user interfaces (VUI) and creating multi-modal and gestalt User Interfaces (GUI) are utilised to allow users to interact with embodied character agents in ways that traditional interface paradigms cannot. In terms of interaction quality and branching, the area of human-computer interaction has progressed throughout time. Rather than developing traditional interfaces, several research areas have focused on problems such as multimodality vs. unimodality, intelligent adaptive interfaces vs. command/action-based interfaces, and active vs. passive interfaces. The study examines the advantages of incorporating human-computer interaction (HCI) ideas and techniques into interactive technology analysis, design, and assessment. The research covers the most recent HCI ideas as well as research gaps identified by different authors in earlier studies. The systematic study of human-computer interaction has probably been the most significant element driving the exponential growth in technology adoption, dissemination, and use, as well as technology-driven productivity improvements that have benefitted a broad variety of companies, during the past two decades. [ABSTRACT FROM AUTHOR]

Growing e-commerce competition has driven businesses to develop several tactics to engage and lead consumers through digital buying experience. Some merchants utilize digital nudges to help consumers through buying. Some websites employ dark patterns. A user interface element that manipulates the user to make a choice the user might not have chosen if they were free to pick. The report characterizes the dark pattern as "intentional and deceptive design decisions meant to attain the psychological benefit of forcing users to make unanticipated and unpleasant choices; they produce value for the services for which they function." Four variables appear to explain dark patterns' effectiveness: technological, cognitive, social, and motivational. These aspects are described in depth. E-commerce generally uses dark pattern. The emergence of dark patterns led to industrial activity that led to much greater usage of dark patterns. Dark patterns were also used to enhance client interaction, resulting in increased financial success. With limited timeframes and small resources, designers concentrated on developing a "happy path" that lets them to focus on reaching shareholder goals without addressing the user experience as a whole. Finally, some scholars claim that most dark patterns are attributable to lack of ethical planning training. This literature review tries to illuminate dark patterns and the reasons behind their utilization in e-commerce. It also explains why e-commerce firms shouldn't employ dark patterns on their site and provide ideas for further research. [ABSTRACT FROM AUTHOR]

Field Pea (Pisum sativum L.) is an important cool-season pulse crop and leguminous vegetable, which is widely cultivated throughout the world. In many parts of the world the most important abiotic factor limiting the survival and yield of plants is the restricted water supply, the field pea is sensitive to drought stress. The drought stress is an adverse condition develops due to water deficit and this most important abiotic factor limiting growth, adversely affecting crop production. Brassinolides (BRs) are endogenous plant growth-promoting compound that acts on plant development and affects numerous physiological processes at low concentration whereas; Thiourea is a sulphydral compound (NH2-CS-NH2) which is basically known for the breaking the dormancy and stimulating germination. The experiment focused on the field pea response under control and drought stress condition where the seeds were treated with 24-Epibrassinolide (EBL) and Thiourea (TU) having concentration of 0.01mM and 6.6mM respectively. In order to evaluate morpho-physiological traits related to drought tolerance, we grew CDC Amarillo, a yellow pea variety, of field pea under drought stress and control condition and assessed effect of drought stress on select but relevant parameters of relative water content (RWC), chlorophyll content, proline content and total soluble sugar (TSS). The drought stress significantly decreased the chlorophyll content and relative water content (RWC) while increased the proline and total soluble sugar. The application of 24-epibrassinolide and thiourea helps to mitigate the deleterious effect of drought stress in plants in which the threshold level of 6.6mM thiourea showed more significant results over 0.01mM 24-epibrassinolide. [ABSTRACT FROM AUTHOR]

This paper describes the four types of security issues i.e. Data Issues, Privacy issues, Infected Application, Security issues while discussing security of a cloud. The cloud service provider for cloud makes sure that the customer does not face any problem such as loss of data or data theft. There is also a possibility where a malicious user can penetrate the cloud by impersonating a legitimate user, there by infecting the entire cloud. This paper has highlighted all these issues of cloud computing. We believe that due to the complexity of the cloud, it will be difficult to achieve end-to-end security. Security issues while discussing security of a cloud. The cloud service provider for cloud makes sure that the customer does not face any problem such as loss of data or data theft. There is also a possibility where a malicious user can penetrate the cloud by impersonating a legitimate user, there by infecting the entire cloud [ABSTRACT FROM AUTHOR]

Purpose: Merozoites are the only extracellular form of blood stage parasites, making it a worthwhile target. Multiple invasins that are stored in the merozoite apical organelles, are secreted just prior to invasion, and mediates its interaction with RBC. A comprehensive identification of all these secreted invasins is lacking and this study addresses that gap., Experimental Design: Pf3D7 merozoites were enriched and triggered to discharge apical organelle contents by exposure to ionic conditions mimicking that of blood plasma. The secreted proteins were separated from cellular contents and both the fractions were subjected to proteomic analysis. Also, the identified secreted proteins were subjected to GO, PPI network analysis, and AI-based in silico approach to understand their vaccine candidacy., Results: A total of 63 proteins were identified in the secretory fraction with membrane and apical organellar localization. This includes various MSPs, micronemal EBAs and rhoptry bulb proteins, which play a crucial role in initial and late merozoite attachment, and majority of them qualified as vaccine candidates., Conclusion and Clinical Relevance: We, for the first time, report the secretory repertoire of merozoite and its status for vaccine candidacy. This information can be utilized to develop better invasion blocking multisubunit vaccines, comprising of immunological epitopes from several secreted invasins., (© 2024 Wiley‐VCH GmbH.)