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Ramifications of thermal slip on ternary nanofluids flow over an incurvate stretching sheet: A sensitivity analysis
The effects of thermal slip on the flow and heat mass transfer properties of ternary nanofluids over an incurvate stretched sheet are explored in this research article. The ternary nanofluid is colloidal mixture of three nanoparticles namely reduced graphene oxide, titanium oxide and silver suspended in a base fluid water. The relevant theoretical mathematical model is transformed into dimensionless equations by applying the proper similarity transformations and the dimensionless equations are then solved using RungeKuttaFehlberg 45 order method (RKF-45). The importance of clearly researched restrictions on the profiles of concentration, temperature and velocity are analysed through plotted graphs. The findings show that, while the temperature jump parameter affects the thermal properties, raising the curvature parameter increases fluid velocity close to the surface. Using response surface methodology, the sensitivity analysis is carried out to investigate the characteristics of skin friction coefficient and Nusselt number. The model's accuracy for the rate of heat transfer is (Formula presented.) and for skin friction is (Formula presented.). It is observed that the sensitivity of the Nusselt number towards radiation ((Formula presented.)) is more for all the values of thermal conductivity ((Formula presented.)) and for middle level of (Formula presented.) and sensitivity of skin friction (Formula presented.) is more for Schmidt number ((Formula presented.)) and independent of (Formula presented.). 2025 Wiley-VCH GmbH. -
Random forest application on cognitive level classification of E-learning content
The e-learning is the primary method of learning for most learners after the regular academics studies. The knowledge delivery through E-learning technologies increased exponentially over the years because of the advancement in internet and e-learning technologies. Knowledge delivery to some people would never have been possible without the e-learning technologies. Most of the working professional do focused studies for carrier advancement, promotion or to improve the domain knowledge. These learner can find many free e-learning web sites from the internet easily in the domain of interest. However it is quite difficult to find the best e-learning content suitable for their learning based on their domain knowledge level. User spent most of the time figuring out the right content from a plethora of available content and end up learning nothing. An intelligent framework using machine learning algorithms with random forest Classifier is proposed to address this issue, which classifies the e-learning content based on its difficulty levels and provide the learner the best content suitable based on the knowledge level. The frame work is trained with the data set collected from multiple popular e-learning web sites. The model is tested with real time e-learning web sites links and found that the e-contents in the web sites are recommended to the user based on its difficulty levels as beginner level, intermediate level and advanced level. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. -
Randomized response model to alter the nuisance effect of non-response due to stigmatized issues in survey sampling
The present study deals with the estimation procedures of the mean number of persons bearing a rare sensitive attribute in the clustered population under two-stage sampling scheme. The resultant estimators have been suggested using two-stage randomized response model when a rare unrelated attribute is assumed to be known as well as unknown. The properties of resultant estimators are studied where the first-stage samples are drawn using the probability proportional to the size with replacement sampling scheme. The estimation procedures have been further extended for the stratified clustered population. The empirical studies are performed for the validation of the suggested estimation procedures. Recommendations have been made to survey practitioners for their real-life applications. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
Randomized Trials of Psychotherapeutic Treatment for Psychogenic Seizures: Scoping Review
Background: Psychotherapy improves seizure frequency and psychosocial aspects in psychogenic nonepileptic seizures (PNES). Although randomized controlled trials (RCTs) on different psychotherapies have been conducted for almost two decades now, no review has exclusively assessed RCTs of different psychotherapies. Methods: The objective was to review RCTs of psychotherapy for PNES, to understand the impact of different psychotherapies. Eligibility criteria included full-text articles, English articles, published between years 2000 and 2020, randomized trials of psychotherapy, and the adult population. Databases included PubMed, ProQuest, Google Scholar, ScienceDirect, EBSCO, PsycINFO, Cochrane, and a random google search was conducted. Rayyan software was used to include articles that met our eligibility criteria. The search was carried out independently by two researchers Results: Based on the eligibility criteria, seven studies were found. Amongst them, cognitive behavioral therapy (CBT) was the most researched and seemed more effective when paired with standard medical care (SMC) or sertraline. Comparisons of CBT and brief psychodynamic therapy did not reveal significant differences. Other psychotherapies included motivational interview+psychotherapy, which significantly reduced seizure frequency and improved psychosocial functioning. Paradoxical intention therapy also reduced PNES symptoms; however, it has not been researched in the last 15 years. Group psychoeducation seems to have an impact only on psychosocial functioning and not on seizure frequency. Conclusion: CBT paired with SMC or sertraline and MI along with psychotherapy yields the most effective results for PNES in reducing seizure frequency and improving psychosocial functioning. 2021 Indian Psychiatric Society - South Zonal Branch. -
Ransomware Detection using Dynamic Behavior Monitoring based on Entropy Analysis and Frequency Analysis
Cybersecurity faces mounting challenges due to the proliferation of ransomware, a sophisticated form of malware that encrypts user data, rendering it inaccessible unless a ransom is paid. Traditional detection systems often fail to counteract evolving threats effectively, creating an urgent need for innovative approaches. Introducing a novel hybrid framework for ransomware detection within IoT ecosystems, integrating entropy and frequency analysis with machine learning models, including Decision Trees (DT) and Random Forests (RF). Data augmentation techniques were employed to generate synthetic data, bolstering the models' ability to generalize across diverse scenarios. Experimental results demonstrated superior performance of the DT classifier, achieving an accuracy of 98.89% and an F1-score of 98.81%. The proposed framework is optimized for real-time ransomware detection, leveraging dynamic analysis to monitor live system behaviors. This integration ensures a proactive defense mechanism against emerging ransomware variants. Future research directions include expanding real-time capabilities, enhancing cross-layer detection, and for collaborative threat intelligence. This work represents a significant advancement in ransomware detection methodologies, offering robust, adaptive, and scalable solutions to mitigate one of cybersecurity's most pressing threats. 2025 IEEE. -
RAO, R. RAJ (1955-)
[No abstract available] -
Rapid Eye Movement (REM) Sleep Behavior Disorder and REM Sleep with Atonia in the Young
Background: Rapid eye movement (REM) sleep behavior disorder (RBD) and REM sleep without atonia (RWA) have assumed much clinical importance with long-term data showing progression into neurodegenerative conditions among older adults. However, much less is known about RBD and RWA in younger populations. This study aims at comparing clinical and polysomnographic (PSG) characteristics of young patients presenting with RBD, young patients with other neurological conditions, and normal age-matched subjects.Methods: A retrospective chart review was carried out for consecutive young patients (<25 years) presenting with clinical features of RBD; and data were compared to data from patients with epilepsy, attention deficit hyperactivity disorder (ADHD), and autism, as well as normal subjects who underwent PSG during a 2-year-period.Results: Twelve patients fulfilling RBD diagnostic criteria, 22 autism patients, 10 with ADHD, 30 with epilepsy, and 14 normal subjects were included. Eight patients with autism (30%), three with ADHD (30%), one with epilepsy (3.3%), and six patients who had presented with RBD like symptoms (50%) had abnormal movements and behaviors during REM sleep. Excessive transient muscle activity and/or sustained muscle activity during REM epochs was found in all patients who had presented with RBD, in 16/22 (72%) autistic patients, 6/10 (60%) ADHD patients compared to only 6/30 (20%) patients with epilepsy and in none of the normal subjects.Conclusion: We observed that a large percentage of young patients with autism and ADHD and some with epilepsy demonstrate loss of REM-associated atonia and some RBD-like behaviors on polysomnography similar to young patients presenting with RBD. 2019 The Canadian Journal of Neurological Sciences Inc. -
Rapid Prototyping Methods in Manufacturing of Biomedical Implants: A Review
The advancements in science and technology have given the flexibility in various levels for the scientists to manufacture variety of components. Rapid prototyping is one of the most sought-after techniques in the field of biomedical engineering for material manufacture. Bio-inertness, biocompatibility, and manufacturability are the desirable properties for biomedical applications. The review aims to provide a valuable contribution to the biomedical field, by identifying and comparing the rapid prototyping methods on the basis of time, quality, and cost. This work is dedicated to study, identify, and compare different methods of rapid prototyping in the manufacture of biomedical implants, the materials used for these processes. It also encompasses comparison of the process parameters for each manufacturing method and the advantages and disadvantages of the processes. Polysiloxane, hydroxyapatite, bioceramics, and titanium alloys due to its bio-inertness and nontoxic nature are some of the identified materials in the current review of the research. The highly sophisticated and complex biomedical implant manufacturing by various methods was studied and compared. Immense researches are being carried out in this novel field and are more prevalent in biomedical field due to its beautiful characteristics. The rapid advanced technological methods facilitate immediate intervention and faster treatment of the patient which reduces the risk and helps in faster recovery. 2020, Springer Nature Singapore Pte Ltd. -
Rare-earth-activated phosphor for laser lighting
The chapter describes that Y2Ba3B4O12 doped with europium ions were synthesized by a modified conventional solid-state reaction method. The formations of the phosphor crystal structure are confirmed via the X-ray diffraction technique. The luminescence measurement upon excitation in ultraviolet and emission in visible range shows the characteristics of Eu3+ excitation and emission. The occurrence of the charge transfer band is explained in detail. The emission spectrum of Eu3+ ions consists mainly of several groups of lines in the 550-725nm region, due to the transitions from the 5D0 level to the levels 7FJ (J=0, 1, 2, 3, 4) of Eu3+ ions. The phenomena of concentration quenching are explained on the basis of electron-phonon coupling and multipolar interaction. The purity of the red emission is also checked, and it makes Eu3+-doped poly-borate-based phosphor as a promising candidate for laser lighting application. 2022 Elsevier Inc. All rights reserved. -
RASK: Request authentication using shared keys for secured data aggregation in sensor network
Accomplishing a robust security features to resists lethal attacks is still an open research area in wireless sensor network. The present paper review existing security techniques to find that there is still a trade-off between cryptographic-based security incorporations and communication performance. Moreover, we have identified that majority of the existing system has not emphasized on first line of defense i.e. security the route discovery process that can act as a firewall for all forms of illegitimate nodes existing in the network. The proposed study introduced RASK i.e. Request Authentication using Shared Key, which is a novel concept developed using simple quadratic formulation of generating keys for encrypting the message during data aggregation. The study outcome has been significantly benchmarked with recent studies and existing cryptographic standards to find RASK outperform existing techniques. Springer International Publishing AG 2017. -
Rating of Online Courses: A Machine Learning Based Prediction Model
Online courses market has provided an economical and easy access to knowledge. When it comes to make a decision related to purchase of online course, little is known about what attributes can be depended upon to guess the quality of an online course. Ratings for online courses act as a reliable signal for assessing the quality of a course. The study discusses the prediction of ratings for online courses using Artificial Neural Network based on Particle Swarm Optimization (ANN-PSO). The experimental results suggests that ANN-PSO model has the capacity to predict the ratings for online courses on the basis of its attributes with accuracy. 2021 IEEE. -
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. -
Rational bubble testing: An in-depth study on CNX nifty /
Asian Journal of Research in Banking and Finance, Vol.6, Issue 6, pp.10-16, ISSN: 2249-7323. -
Rational design of bifunctional catalyst from KF and ZnO combination on alumina for cyclic urea synthesis from CO2 and diamine
This study is mainly focused on the design of stable, active and selective catalyst for direct synthesis of 2-imidazolidinone (cyclic urea) from ethylenediamine and CO2. Based on the rationale for the catalyst properties needed for this reaction, KF, ZnO and Al2O3 combination was selected to design the catalyst. ZnO/KF/Al2O3 catalyst was prepared by stepwise wet-impregnation followed by the removal of physisorbed KF from the surface. High product yield could be achieved by tuning acid-base sites by varying the composition and calcination temperature. The catalysts were characterized by various techniques like XRD, N2-sorption, NH3-TPD, CO2-TPD, TEM, XPS and FT-IR measurements. It is shown that acidic and basic properties of the solvent can influence the activity and product selectivity for this reaction. Under optimized condition; 180 C, 10 bar and 10 wt.% catalyst in batch mode, 96.3 % conversion and 89.6 % selectivity towards the 2-imidazolidinone were achieved. 2020 Elsevier B.V. -
Rational design of PANI incorporated PEG capped CuO/TiO2 for electrocatalytic hydrogen evolution and supercapattery applications
Synthesis of efficient electrocatalysts for energy applications is a major area scientists are currently focusing on to address the twin challenges of energy shortfall and the production of clean energy. Herein, an efficient electrocatalyst, polyaniline incorporated with polyethylene glycol capped CuO/TiO2 is prepared, which is effective in hydrogen evolution reactions and energy storage applications. The characterizations like XPS, XRD, FT-IR, FE-SEM, HR-TEM, and BET have been carried out to confirm the successful formation of the synthesized PANI/CuO/TiO2 composite. At 10 mA/cm2 current density, the prepared composite exhibits a lesser overpotential of 536 mV and 1587.2 C/g at 1 A/g as the specific capacity. The electrode prepared using the PANI/CuO/TiO2 composite also shows cyclic stability up to 2000 cycles. The synthesized composite is an efficient electrocatalyst for energy related applications. 2023 Hydrogen Energy Publications LLC -
Rational Designing of Ni-Ag/C Bimetallic Nanoparticles
Bimetallic nanoparticles have been found to show improved properties due to the synergistic effect between the incorporated metals as a result of electronic charge transfer between them. The importance of using bimetallic particles lies in the high selectivity that they offer. Ni being a reactive metal, was doped with Ag, a highly selective host. In this study, Ni-Ag bimetallic nanoparticles supported on carbon have been synthesized by co-impregnation by using nickel (II) nitrate and silver nitrate as precursors. The catalyst is characterized using XRD, FTIR, DLS, Zeta potential, EDX, SEM, and TEM. The scope of this synthesized catalyst can be extended to several reactions like CO2 reduction reaction, hydrogenation, and industrially important organic reactions. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Rational suitability of low cost activated carbon in removing hexavalent chromium ions from wastewater by uninterrupted mode of adsorption
Heavy metals such as chromium, lead, arsenic and others are dense metals whose contamination of water may exterminate life on earth at the niche in industrial activities, foodstuffs or medicines and so on. Activated carbons are very helpful in removing heavy metal ions from aqueous solutions by adsorption, and have been investigated by many researchers so far. The practical relevance of activated carbon made from de oiled soya in the removal of hexavalent chromium ions through continuous adsorption mode is reported in this paper. A breakthrough plot was plotted in finding the effect of initial concentration and adsorbent bed height in the adsorption of hexavalent chromium through activated carbon of de oiled soya. The breakthrough time and saturation time increased as the concentration of the initial solution shot up from 40 mg/L to 60 mg/L. The saturation time was in an incremental mode when the thickness of the adsorbent bed height in a fixed bed was increased from 5cm to 7cm for 40 mg/L initial concentration of hexavalent chromium. The Adams-Bohart's model was found to fit perfectly the fixed bed column in the removal of hexavalent chromium from aqueous solutions. The fabricated adsorbent worked well in detoxifying hexavalent chromium metal ion contaminated wastewater. 2020 Published under licence by IOP Publishing Ltd. -
Rationality of the Terrorist Group and Governments Policy: A Game Theoretic Approach
The two ideas of the rationality of terrorist organisations and the costly leader game are used in this paper to construct a game theoretic model. It is an addition to the literature on terrorism and leader-follower games, in which the government and a terrorist organisation are the two players. Terrorist group can be rational or irrational. In case it is rational, it does the cost-benefit analysis and is open to negotiation. Only in this case, the government chooses to not spend on counter-terrorist measures. The irrational group has lexicographic preferences, which means that it prefers a successful attack to attract attention and recruits at the beginning or finish of its operation. Consequently, it is assumed that the irrational group will always attack. the irrational terrorist organisation has the option of either choosing not to mimic the rational group or choosing to do so at a psychological cost. Although the irrational group dislikes imitation. It seeks to duplicate the rational group so that the government withdraws and cuts back on spending on counter-terrorism. A costly leader model is set up in the paper, where the government can incur a cost to gather information about the type of terrorist group. In this framework, the paper provides policy prescriptions concerning counter-terrorist measures that the government should take in case the type of terrorist group being rational or irrational is unknown and it highlights the importance of intelligence. 2024 Walter de Gruyter GmbH. All rights reserved. -
Rationally designed CeO2 decorated Ti3C2 MXene interface for efficient water splitting and enhanced supercapacitor performance
MXenes serve as competent electrodes for applications such as energy storage and conversion owing to their unique characteristics, which include substantial surface area, excellent conductivity, abundant surface-terminating groups, and high hydrophilicity. However, MXene nanosheets exhibit a pronounced tendency to restack via Van der Waals force, hindering the active sites and resulting in sluggish electronic and ionic kinetics. This phenomenon limits the capabilities, processability, and overall performance of MXene. In this study, CeO2 is utilized as an interlayer spacer for the Ti3C2 MXene substrate, providing a promising noble metal-free multifunctional electrode. The Ti3C2/CeO2 composite, synthesized via the hydrothermal method, efficiently mitigates restacking while exhibiting excellent conductivity, substantial surface area, and enhanced kinetics. The as-synthesized catalysts undergo diverse physiochemical characterizations and electrochemical measurements to understand their properties and potential multiapplications. The fabricated electrode material, Ti3C2/CeO2, shows excellent specific capacitance of 1908.5 Fg?1 at 1 Ag?1 in a three-electrode setup using 3 M KOH as electrolyte. It has a capacitive retention of 91% even after 4000 cycles. Besides, Ti3C2/CeO2 also functions as a proficient electrode material for overall water splitting, having a lower overpotential of 178 mV and 350 mV for hydrogen and oxygen evolution reactions, respectively, at a current density of 10 mAcm?2. It also displays a lower cell voltage of 1.78 V to obtain a current density of 10 mAcm?2. This study introduces the multi applications of a well-designed interface between Ti3C2 layers and CeO2 within the realm of electrochemical energy storage and conversion. 2024 Elsevier B.V. -
Rationally engineered PEGylatedl-citrulline functionalized baicalein encapsulated HSA nanopolymer guided by molecular docking for tumor microenvironment responsive and redox modulated colon cancer therapy
Colon cancer remains a major global health burden characterized by uncontrolled proliferation, oxidative stress, and poor responsiveness to conventional therapies, underscoring the need for biocompatible and targeted nanotherapeutic interventions. In this study, a novel pH-responsive human serum albumin-based nanocarrier, HSA-BA@PEG-LC NPs, was designed for the efficient and selective delivery of baicalein (BA) to colon cancer cells. Molecular docking analysis demonstrated strong binding affinities of BA with Hsp90 inhibitors and with human serum albumin (HSA), as well as a notable interaction between l-citrulline (LC) and the cationic amino acid transporter 1 (CAT-1), highlighting their potential roles in anticancer modulation. The engineered nanoparticles exhibited a uniform spherical morphology (232 nm), low polydispersity index (PDI < 0.3), and high colloidal stability (?27.21 mV). Spectroscopic analyses (FTIR and 1H NMR) confirmed successful encapsulation of BA and PEG-LC surface conjugation, with an encapsulation efficiency of 86.62% and pH-dependent sustained release favoring acidic tumor conditions. In HCT-116 cells, HSA-BA@PEG-LC NPs demonstrated enhanced internalization, strong cytoplasmic accumulation, and pronounced cytotoxicity (IC50 = 5.42 g mL?1), while maintaining safety toward normal lymphocytes. Mechanistically, treatment induced elevated ROS levels, GSH depletion, mitochondrial depolarization, nuclear condensation, cytoskeletal collapse, and G0/G1 cell-cycle arrest. Furthermore, the formulation displayed potent antioxidant activity across DPPH, NO, SOD, and lipid peroxidation assays, with IC50 values approaching ascorbic acid, validating synergistic PEG-LC functionalization and HSA-mediated stabilization as a promising redox-driven nanoplatform for targeted colon cancer therapy. This journal is The Royal Society of Chemistry, 2026