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HER2 siRNA Facilitated Gene Silencing Coupled with Doxorubicin Delivery: A Dual Responsive Nanoplatform Abrogates Breast Cancer
The present study investigated the concurrent delivery of antineoplastic drug, doxorubicin, and HER2 siRNA through a targeted theranostic metallic gold nanoparticle designed using polysaccharide, PSP001. The as-synthesized HsiRNA@PGD NPs were characterized in terms of structural, functional, physicochemical, and biological properties. HsiRNA@PGD NPs exposed adequate hydrodynamic size, considerable ? potential, and excellent drug/siRNA loading and encapsulation efficiency. Meticulous exploration of the biocompatible dual-targeted nanoconjugate exhibited an appealing biocompatibility and pH-sensitive cargo release kinetics, indicating its safety for use in clinics. HsiRNA@PGD NPs deciphered competent cancer cell internalization, enhanced cytotoxicity mediated via the induction of apoptosis, and excellent downregulation of the overexpressing target HER2 gene. Further in vivo explorations in the SKBR3 xenograft breast tumor model revealed the appealing tumor reduction properties, selective accumulation in the tumor site followed by significant suppression of the HER2 gene which contributed to the exclusive abrogation of breast tumor mass by the HsiRNA@PGD NPs. Compared to free drugs or the monotherapy constructs, the dual delivery approach produced a synergistic suppression of breast tumors both in vitro and in vivo. Hence the drawings from these findings implicate that the as-synthesized HsiRNA@PGD NPs could offer a promising platform for chemo-RNAi combinational breast cancer therapy. 2024 American Chemical Society. -
AUTONOMOUS IOT MOVEMENT IN HOSTILE AREAS USING ROBOTICS AND DEEP FEDERATED ALGORITHMS
Innovative solutions are required when Internet of Things (IoT) devices are deployed in hostile or difficult locations to ensure dependable and effective operation. In order to enable autonomous IoT mobility in such challenging circumstances, this study suggests a novel approach integrating robotics and deep federated algorithms. Robotics and IoT can work together to create a system that can adapt to dangerous environments, extreme weather conditions, and unexpected terrain. Deep federated algorithms further improve system performance by facilitating dispersed device collaboration for learning while protecting data privacy. The suggested framework covers the issues of communication stability, energy optimization, and real-time decision-making. We illustrate the practicality of this strategy in strengthening the dependability and efficiency of IoT deployments in hostile situations through simulations and tests. 2023 IEEE. -
Education in TQM Way
The International Journal's Research Journal of Social Science & Management, Vol-2 (8), pp. 1-4. ISSN-2251-1571 -
How safe is the information in this digital era? –A critical review of the status quo /
Journal of Management Research And Analysis, Vol.5, Issue 1, pp.5-9, ISSN No: 2394-2770. -
Bulirsch-Stoer computations for bioconvective magnetized nanomaterial flow subjected to convective thermal heating and Stefan blowing: a revised Buongiorno model for theranostic applications
Theranostics is a novel procedure that integrates therapy and diagnosis in a single platform. For its application in theranostic and photothermal therapy for melanoma skin cancer, the hydromagnetic bioconvective flow of a nanomaterial over a lengthening surface is investigated. Realistic nanomaterial modeling is achieved by incorporating passive control of the nanoparticles at the boundary. The impact of the Newtonian heating and Stefan blowing constraints are also accounted. Apposite transformations are employed and then transmuted nonlinear ODEs are resolved using the Bulirsch-Stoer and Newton-Raphson methods. The influence of Stefan blowing parameter (Formula presented.), the magnetic field parameter (Formula presented.), and the Biot number (Formula presented.) on the heat transfer rate has been scrutinized and optimized utilizing the response surface methodology (RSM). The sensitivity of heat transport rate is computed. It is found that the Newtonian thermal condition intensifies the nanomaterial temperature that serves asa crucial role in the termination of cancerous cells or tumors. The maximum drag coefficient is experienced for the insignificant intensity of the magnetic field and Stefan blowing. Further, the heat transfer rate is maximum when the Stefan blowing and Biot numbers are at a high level and the Hartmann number is at a low level. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
A study on nanoliquid flow with irregular heat source and realistic boundary conditions: A modified Buongiorno model for biomedical applications
Titanium dioxide plays a vital role in cancer therapy methods (including photothermal therapy and photodynamic therapy), skincare products, heat exchangers, and car radiators. Therefore, the dynamics of the TiO2 nanomaterial with H2O as basefluid over a nonlinearly stretched surface is investigated. For realistic nanoliquid modeling, the conventional Buongiorno model has been improvised (called modified Buongiorno model [MBM]) by incorporating the effective thermophysical properties of the nanoliquid. Experimentally derived correlations of the thermal conductivity and dynamic viscosity of the nanofluid are utilized. The significance of passive control of nanoparticles is also studied. The heat transfer analysis includes the mechanism of Rosseland heat flux and exponential heat source. Similarity theory is used to obtain nonlinear ordinary differential equations (ODEs) from the governing partial differential equations which are solved numerically using bvp5c, a finite difference-based routine in MATLAB. Further, the heat transfer rate is statistically scrutinized for the consequence of magnetic field (Formula presented.), thermal radiation (Formula presented.) and exponential heat source (Formula presented.) by employing Response Surface Methodology (RSM) and sensitivity analysis. The temperature of nanofluid ascends with the exponential heat source, thermal radiation, and thermophoresis aspects. Furthermore, when the MBM is utilised, the thermal field of the nanofluid is greater than when the classic Buongiorno model is used. The rate of heat transfer correlates positively with radiative heat flux. The exponential heat source exhibits a negative sensitivity towards the rate of heat transfer. 2021 Wiley-VCH GmbH -
A Heuristic Approach to Resolve Priority-Driven Unbalanced Transportation Problem (PUTP)
This research addresses the priority-driven unbalanced transportation Problem (PUTP), characterized by a situation where the overall demand surpasses the available supply. We propose the Max-flow Min-cost Priority-driven Unbalanced Transportation Problem (MMPUTP) as a heuristic approach to handle this issue effectively. The strategy of MMPUTP focuses on optimizing resource allocation and reducing costs, making it highly effective in fulfilling high priority needs in a cost-efficient manner. Through a comparison with Vogel's Approximation Method (VAM) over different sets of problems ranging in size from 5?5 to 50?50, the effectiveness of the MMPUTP algorithm is evident. The findings underscore the significance of choosing the right algorithm based on the size and complexity of the problem set in the context of the Priority-driven Unbalanced Transportation Problem, with MMPUTP proving to be a flexible and reliable option in various situations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Priority-driven Unbalanced Transportation Problem (PUTP) to obtain better Initial Feasible Solution
In this paper, we tackle the Priority-driven Unbalanced Transportation Problem (PUTP), a scenario where total demand exceeds total supply. An innovative algorithm, the Penalty-driven Priority-driven Unbalanced Transportation Problem (PPUTP) is introduced to solve this challenge. PPUTP allocates supplies to high-priority demands by computing penalties and sequentially addressing the most penalized demands, thereby ensuring priority demands are met efficiently. A comparative analysis with Vogel's Approximation Method (VAM) across various problem sets ranging from 5x5 to 50x50 dimensions demonstrates the efficiency of our algorithms. PPUTP consistently shows lower percentage increments from the optimal solution, indicating its robustness in providing near-optimal solutions. This study highlights the importance of algorithm selection based on problem set dimensions and complexity in Priority-driven Unbalanced Transportation Problem, with PPUTP emerging as a versatile and robust solution across various scenarios. 2024 IEEE. -
Psychological Components for Marital Distress and Divorce in Newlywed Indian Couples
The personal and family consequences of the ever-increasing ratio of divorce have focused global attention on formulating tactics to avert marital breakdown. However, the increase in the rate of divorce cases indicates that its core reasons have not yet been tackled. The most recurrently asked question in the literature around divorce is this: Why do couples shatter so soon, even after marrying with high prospects? This study endeavors to find answers for this question from a family psychological perspective. Using a basic interpretative qualitative method and phenomenological research paradigm, this study has provided very personal experiences of 20 newlywed divorced participants and also their sole vision on crucial key psychological factors for marital distress and divorce. One superordinate theme derived in the analysis involves intrapsychic resistance to accommodate life cycle transitions. This research has vital inferences for identifying the challenges faced by contemporary couples on the newlywed life cycle transition. , Copyright Taylor & Francis Group, LLC. -
Divorce prevention programme an intervention based on qualitatively derived psychological themes from newlywed distressed and divorced couples
This study has aimed to develop a competent intervention program as a preventive measure to tackle the increasing divorce rate in the current Indian scenario. Towards this end, the study has been arranged in three phases, with specific objectives guided by specific research questions in each phase. Holding pragmatic philosophical stance, a mixed method framework has directed the entire study, precisely, exploratory mixed design. newlineThe first phase of the study has focused on investigating the in-depth psychological components or etiology of marital distress and divorce in the problem context. Using an Interpretative Phenomenological Analysis (IPA) design, the lived marital experiences of 14 separated and 36 divorced (n=50) newlywed participants has been rigorously explored. Five superordinate themes along with 23 subordinate and 35 emergent themes have been derived in the data analysis, as reasons for marital distress and divorce in newlywed couples. newlineThe challenge of the second phase was to spin a proficient intervention program that is competent to address the identified reasons for marital distress, during the phase-one of the study. Towards this target, the theoretical framework developed by Hughes (1994, 2012 and 2014), Framework for Developing Family Life Education Programme is the model utilized. Following the five steps in the Hughes s framework, the intervention program has been designed and titled Divorce Prevention Programme (DPP). Finally, the phase three task of the study includes experimentation over the immediate and short-term (two-month) effect of the DPP as to what extent marital satisfaction and consummate love would improve to prevent divorce. The pretest, posttest experimental, and waitlist control group design was utilized with a two months follow-up with the experimental group. -
Self compacting concrete for slip form paving
International Journal of Research in Engineering and Technology, Vol-4(7), ISSN-2319-1163 -
Self Compacting Concrete for Slip from Paving
Volume:04, Issue:07, July -
Rating-Based Cyberbullying Detection with Text, Emojis on Social Media
In the dynamic landscape of online interactions, cyberbullying has become pervasive, profoundly impacting user's digital well-being. Public figures, especially celebrities and influencers, face heightened vulnerability to online harassment, exacerbated by the post-pandemic surge in social media usage. To address this challenge, our research adopts a holistic approach to detect cyberbullying in text, considering both textual content and the nuanced expressions conveyed through emojis on social media platforms. We employed a diverse set of machine learning and deep learning models, including Support Vector Classifier, Logistic Regression, Random Forest, XGBoost, LSTM, Bi-LSTM, GRU, and Bi-GRU, to accurately classify non cyberbullying or cyberbullying text. Beyond classification, our study introduces an offensive rating system, assigning severity ratings on a 1-5 scale to identify cyberbullying instances. A critical aspect is the establishment of a threshold value which depends on user security and safety ethics of different social media platforms; texts surpassing this trigger an automatic recommendation to block the user, ensuring a proactive response to minimize harm. This recent contribution not only comprehensively addresses cyberbullying but also empowers society. 2024 IEEE. -
Koppa Archaeological Research Project (KARP): Exclusive iron age landscape in the Western Ghats, India /
Archaeological Research In Asia, Vol.17, pp.173-180, ISSN No: 2352-2267. -
Koppa Archaeological Research Project (KARP): Exclusive Iron Age landscapes in the Western Ghats, India
Koppa Archaeological Research Project (KARP) conducted systematic transect surveys and excavations in the Coorg plateau at the upper reaches of river Kaveri in the Western Ghats, Karnataka. The archaeological record of the study area is exclusively an Iron Age landscape, as we did not find any other prehistoric or early historic sites. We focused on studying thirty-nine Iron Age (1200 BCE300 BCE) sites of two categories, habitation and megaliths, and we present here our preliminary observations addressing to site findings, their landscapes and settlement patterns. We then consider the geographical and climatic implications for understanding the formation of their economy and politics. We argue that sites in the Western Ghats did not differ significantly from the temporal and cultural material typologies of contemporary Iron Age sites in the semi-arid or savannah conditions of Deccan plateau. Yet the adaption of Iron Age communities to Western Ghats climate which is characterized by high rainfall, lush tropical forests, fallow lands and diverse faunal ecology should have had distinct implications for the development of their economy and politics. 2019 Elsevier Ltd -
Serverless Data Processing System and its Design Space Consideration
Serverless computing is becoming increasingly important in data-processing applications in science and business. The scheduler is at the centre of serverless data-processing systems, allowing for dynamic decisions on job and data placement. The complex design space, which is influenced by various user, cluster, and workload variables, presents problems for developing high-performance and cost-effective scheduling structures and processes. To make this exploration easier, we present Sched-Probe, a framework that includes a conceptual model and simulator for systematic design space exploration. Using the Sched-Probe framework, we evaluate the performance of three scheduling systems and two techniques using real-world workloads. Our open-source software is now available on ExDe, allowing system designers to collaborate on delving into the complexity of serverless scheduling, paving the way for optimised and efficient data-processing systems. 2024, Iquz Galaxy Publisher. All rights reserved. -
Optical Character Recognition system with Projection Profile based segmentation and Deep Learning Techniques
Optical character recognition is the solution to convert text from printed or scanned documents into editable data. This project is aimed at building a Optical character recognition system that recognizes digital text. A document is first detected using contour-based detection technique without altering the angle of the image and is segmented into lines, once the lines are segmented the words embedded in them are extracted. This segmentation is done using projection profiling method. Characters are then segmented words with vertical projection profiling from the extracted words. These characters are fed into an image recognition model for recognition. The recognition model is CNN based deep learning model. Modified VGG16 architecture is used here to extract maximum features from the images and then classify them. To train the model a dataset is created from a repository of digital character dataset. The dataset consists of images of 153 font variants. 2022 IEEE. -
An Analysis of Levenshtein Distance Using Dynamic Programming Method
An edit distance (or Levenshtein distance) amongst dual verses refers to the slightest amount of replacements, additions and omissions of signs essential to turn one name addicted to the additional is referred to as the edit distance (or Levenshtein distance) amongst dual verses. The challenge of calculating the edit distance of a consistent verbal, that is the set of verses recognised by a fixed mechanism, is addressed in this research. The Levenshtein distance is a straightforward metric for calculating the distance amongst dual words using a string approximation. After witnessing its efficiency, this approach was refined by combining certain comparable letters and minimising the biased modification between associates of the similar set. The findings displayed a considerable enhancement over the old Levenshtein distance method. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Application of data analytics principles in healthcare
Information technology has transformed the healthcare field worldwide. In many areas of the healthcare industry, implementations of data analytics tools are commonly used recently. Applying data analytics principles in medical sciences appropriately transforms the mere storage of medical records in to discovery of drugs. Data science and analytics are essential tools because they can help make better decisions when it comes to spending and reducing inefficiencies in healthcare. The proposed model of healthcare data analytics provides a framework to accelerate the adoption and implementation of predictive analytics in healthcare. Healthcare data analytics can be applied to prove formulated hypotheses, test those using standard analytics models and predict patient health conditions. It can be used to classify patients at risk of developing diseases such as diabetes, asthma, and other life-long illnesses. In spite of the challenges faced while applying data science predictive analytics in the healthcare environment, there is an enormous opportunity for its usage in providing quality healthcare for patients. BEIESP. -
Service request scheduling based on quantification principle using conjoint analysis and Z-score in cloud
Service request scheduling has a major impact on the performance of the service processing design in a large-scale distributed computing environment like cloud systems. It is desirable to have a service request scheduling principle that evenly distributes the workload among the servers, according to their capacities. The capacities of the servers are termed high or low relative to one another. Therefore, there is a need to quantify the server capacity to overcome this subjective assessment. Subsequently, a method to split and distribute the service requests based on this quantified server capacity is also needed. The novelty of this research paper is to address these requirements by devising a service request scheduling principle for a heterogeneous distributed system using appropriate statistical methods, namely Conjoint analysis and Z-score. Suitable experiments were conducted and the experimental results show considerable improvement in the performance of the designed service request scheduling principle compared to a few other existing principles. Areas of further improvement have also been identified and presented. Copyright 2018 Institute of Advanced Engineering and Science. All rights reserved.