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Item type:Publication, Erratum: Expression of concern: DFT assessments of BN, AlN, and GaN decorated carbon cage scaffolds for sensing the thiamazole drug, [Diam. Relat. Mater. 135 (May 2023) 109800]. (Diamond & Related Materials (2023) 135, (S0925963523001255), (10.1016/j.diam(Elsevier Ltd, 2024-06-01)This temporary Expression of Concern relates to the above article. Concerns have been brought to the attention of the journal regarding the potential sale of authorship positions on the article, and the validity of the authors' contributions. The journal editors are investigating the concerns, including contacting the authors, in line with Committee on Publication Ethics (COPE) guidelines and Elsevier's policies. The Expression of Concern will remain appended to the article until the investigation has been completed. If the editors can reach a conclusion, they will take any action that is deemed necessary. If the editors have determined that they cannot reach a satisfactory conclusion with the information available to them, a further notification will be published to update the community. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Developing Role of Extracellular Vesicles in Autoimmune Diseases: Special Attention to Mesenchymal Stem Cell-Derived Extracellular Vesicles(Elsevier B.V., 2023-09-01)Autoimmune diseases are complex, chronic inflammatory conditions initiated by the loss of immunological tolerance to self-antigens. Nowadays, there is no effective and useful therapy for autoimmune diseases, and the existing medications have some limitations due to their nonspecific targets and side effects. During the last few decades, it has been established that mesenchymal stem cells (MSCs) have immunomodulatory functions. It is proposed that MSCs can exert an important therapeutic effect on autoimmune disorders. In parallel with these findings, several investigations have shown that MSCs alleviate autoimmune diseases. Intriguingly, the results of studies have demonstrated that the effective roles of MSCs in autoimmune diseases do not depend on direct intercellular communication but on their ability to release a wide spectrum of paracrine mediators such as growth factors, cytokines and extracellular vehicles (EVs). EVs that range from 50 to 5,000 nm were produced by almost any cell type, and these nanoparticles participate in homeostasis and intercellular communication via the transfer of a broad range of biomolecules such as modulatory proteins, nucleic acids (DNA and RNA), lipids, cytokines, and metabolites. EVs derived from MSCs display the exact properties of MSCs and can be safer and more beneficial than their parent cells. In this review, we will discuss the features of MSCs and their EVs, EVs biogenesis, and their cargos, and then we will highlight the existing discoveries on the impacts of EVs from MSCs on autoimmune diseases such as multiple sclerosis, arthritis rheumatic, inflammatory bowel disease, Type 1 diabetes mellitus, systemic lupus erythematosus, autoimmune liver diseases, Sjögren syndrome, and osteoarthritis, suggesting a potential alternative for autoimmune conditions therapy. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Machine Learning (ML)-Centric Resource Security in Cloud Computing Using Authenticated Key(Taru Publications, 2023-01-01)The computing is the on-request transportation of registering contributions over the web to give speedier advancement, bendy assets, and economies of scale. Administrations incorporate servers, stockpiling, data sets, systems administration, programming, and examination. The routine security tasks that the providers carry out include protecting the basic system, reaching, maintaining, and setting up the actual has and organization, on which the strategy illustrations run, as well as the capacity and unique possessions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hydrogen-Bonded Dimers of 2-Thiouracil: Insights from Computational Analyses(AMG Transcend Association, 2023-01-01)The dominant roles of hydrogen bond (HB) interactions are known in biologically related systems, in which their characterizations could be considered at a high level of importance. 2-Thiouracil (2TU) is a biologically derived structure with known anti-thyroid pharmaceutical functions. This work investigated formations of hydrogen-bonded dimers of 2TU for providing insights from density functional theory (DFT) based computational analyses. The models were optimized, and their features were evaluated to learn details of interactions for formations of dimers of 2TU. Twelve dimers were found, and their evaluated configurations and features showed different properties for the models. Two types of S…H and O…H interactions were involved in the dimers, in which the hydrophobic hydrogen atoms of 2TU were also involved in interactions with the S and O atoms. The strengths of obtained dimers were different, meaning the dominant roles of relaxations configurations of dimers and strengths of each of involving interactions. But it should be noted that all models were in reasonable levels of energy strengths of formations. As a consequence, the dimers of 2TU could be known with their obtained specifications, and they could be conducted for working in future desirable applications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exosomal Non-Coding RNAs’ Role in Immune Regulation and Potential Therapeutic Applications(Elsevier GmbH, 2023-07-01)Exosomes are now significant players in both healthy and unhealthy cell-to-cell communication. Exosomes can mediate immune activation or immunosuppression, which can influence the growth of tumors. Exosomes affect the immune responses to malignancies in various ways by interacting with tumor cells and the environment around them. Exosomes made by immune cells can control the growth, metastasis, and even chemosensitivity of tumor cells. In contrast, exosomes produced by cancer cells can encourage immune responses that support the tumor. Exosomes carry circular RNAs, long non-coding RNAs, and microRNAs (miRNAs), all involved in cell-to-cell communication. In this review, we focus on the most recent findings concerning the role of exosomal miRNAs, lncRNAs, and circRNAs in immune modulation and the potential therapeutic implications of these discoveries. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Efficient Cost Evaluation of Real-Time Applications Using Mathematical Model in Computing Environment(Taru Publications, 2023-01-01)The cloud real time services are provided in an efficient manner now a days in rapid way. The Cloud computing objective is an on-request administration model for end clients. The on-request administration model comprises memory stockpiling, equipment on the board, data handling, and different IoT applications utilizing numerical programming rationales with the upgraded fluffy model. Money saving advantage analysis is the thing that everybody should do as such as to consider a strong or a proficient framework. In any case, while thinking out on cost and advantage examination, we additionally need to figure out factors that truly influence the advantages and expenses of the framework. In creating quotes for a framework, we really want to think about some of the cost components. A few components among them are equipment, staff, office, working, and supply costs. By utilizing the fluffy model, the end clients get the best ideal cloud administrations. The proposed system provides mathematical model of rough set theory. The proposed model provides an adequate cost to the end users in terms of cloud services. For giving cloud administrations in a streamlined manner the fluffy rationale is assuming a significant part. Our proposed calculation is performing better under pressure from different calculations. The proposed algorithm finds the proposed system most suitable w.r.t cost. The reproduction of our calculation is finished in simulation system of the cloud environment. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, DFT Assessments of BN, AlN, and GaN Decorated Carbon Cage Scaffolds for Sensing the Thiamazole Drug(Elsevier Ltd, 2023-05-01)Sensing drug substances by nanostructures are very important in accordance with the management of targeted drug delivery processes and drug substances detections. Boron nitride (BN), aluminum nitride (AlN), and gallium nitride (GaN) decorated carbon cage (BN-C, AlN-C, and GaN-C) scaffolds were assessed towards sensing the thiamazole (TMZ) drug through the wB97XD/6–31 + G* level of density functional theory (DFT) computations. The singular models were optimized and their combinations to each other were stabilized to obtain the interacting TMZ@Scaffold bimolecular complexes and their corresponding features. The results indicated the existence of non-covalent physical interactions between the substances and their electronic features indicated possibility of sensing function for the investigated scaffolds. Based on the variations of values of adsorption energy and energy gap, the features of recovery time and conductance rate were achieved to predict a sensing function for the models; TMZ@GaN-C was found at the highest suitability in comparison with TMZ@AlN-C and TMZ@BN-C models. The obtained thermochemistry results indicated a spontaneous process for the formation of TMZ@Scaffold complexes. Based on all the obtained results, an order of TMZ@GaN-C > TMZ@AlN-C > TMZ@BN-C was found for describing stability, formation, and electronic features suitability by assigning specific features for each of the singular BN-C, AlN-C, and GaN-C scaffolds towards the TMZ drug. As a consequence, two purposes of detections and adsorptions were approached for the investigated scaffolds to develop sensing functions of BN-C, AlN-C, and GaN-C scaffolds for the TMZ drug. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Delay Optimization and Energy Balancing Algorithm for Improving Network Lifetime in Fixed Wireless Sensor Networks(Elsevier B.V., 2023-06-01)Since wireless in terms of energy-restricted processes, dispersion radii, processing power limitations, buffers, bandwidth-limited connections, active network topologies, and network stream of traffic outlines, sensor networks provide difficult design issues. The number of hops and latency are decreased if there is a relay mote because it interacts directly with relay motes that are closer to the destination mote. The tremendous intensive research in the area of Wireless Sensor Networks (WSN) has gained a lot of significance among the technical community and research. The job of WSN is to sense the data using sensor motes, pass on the data to the destination detection mote which is associated with a processing center and can be used in multiple spans of Internet of Things (IoT) applications. Wireless sensor network has a set of sensor motes. By making use of sensor mote placement strategy all the sensor motes are spread in an area with each mote having its own exceptional location. Internet of things applications are delay sensitive those applications have a challenge of forming the complete path at a lower delay constraint. The proposal is to modify the game theory energy balancing algorithm by making use of relay motes so that overall network lifetime is increased. It has been proved that modified GTEB is better with respect to existing algorithms in terms of delay, figure of hops, energy depletion, figure of alive motes, figure of dead motes, lifespan ratio, routing overhead and throughput. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Deep Learning-Based Computer-Aided Diagnosis Model for the Identification and Classification of Mammography Images(Springer, 2023-09-01)Cancer of the breast is an illness that has the potential to be fatal for females all over the world. Even with the advancements that have been made in treatment, breast cancer cannot be prevented or cured; however, with early identification, one's life expectancy can be increased. A woman's overall health can be improved, which can add years to her life expectancy, if breast cancer is detected at an earlier stage. Radiological screening is a well-known method that is utilised for cancer prevention and detection in significant amounts. Mammograms have the ability to detect breast cancer as well as tumours that may be present in the breast. Recent study has demonstrated that DL-based CAD models can assist radiologists in establishing automated diagnosis of breast cancer in patients. The DL-based CAD model helps radiologists diagnose breast cancer automatically, according to recent research. DL techniques utilising convolutional neural network have gained interest because to their effectiveness in automating data feature representation and maximising accuracy by merging classification and feature representations. It successfully diagnoses clinical pictures. The research aims to build DL-based breast cancer diagnosis models and to review state-of-the-art ML and DL models for breast cancer diagnosis and classification. The research also examines the performance of the proposed models on the benchmark dataset. Sensitivity, specificity, accuracy, and F-measure measure performance. The experimental results showed that the proposed models are effective compared to modern methods. The proposed models are effective for breast cancer diagnosis and categorization. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adsorption of Thiotepa Anticancer by the Assistance of Aluminum Nitride Nanocage Scaffolds: A Computational Perspective on Drug Delivery Applications(Elsevier B.V., 2023-06-05)This work was carried out by the importance of providing insights into the nano-based drug delivery of anticancers. To this aim, a representative model of aluminum nitride (AN) nanocage scaffold and two of its boron and gallium doped forms (BAN and GAN) were investigated towards the adsorption of thiotepa (Tep) anticancer. Density functional theory (DFT) calculations were performed to evaluate the stabilized structures and their corresponding electronic features. The results indicated the contribution of N-head and S-head of Tep to interactions with each scaffold resulting six complexes; NTep@AN and STep@AN, NTep@BAN and STep@BAN, NTep@GAN and STep@GAN. In each complex model, the characteristic features were obtained based on the interactions details and frontier molecular orbitals related features. In this regard, the investigated scaffolds were found suitable for adsorbing the Tep substance with different strengths and frontier molecular orbitals levels yielding the possibility of assigning specified recovery time and conductance. As a consequence, the models of investigated scaffolds were found suitable to work as possible carriers of Tep anticancer for approaching the nano-based drug delivery purposes.