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Pi-MnO2 decorated poly-3-thienylacetic acid on carbon fiber paper for electrochemical synthesis of 2-formyl-thiophene
Sustainable and environmentally benign synthesis methods have captured researchers' minds in recent times and have contributed a lot towards the green synthesis of organic compounds. This work presents an efficient green method for synthesizing 2-formyl thiophene using a newly designed Pi-MnO2 deposited on poly-3-thienylacetic acid coated Toray carbon fiber paper (PThAA-Pi-MnO2-TCFP) electrode. Cyclic voltammetry (CV), chronoamperometry (CA) and bulk electrolysis (BE) techniques were employed for the optimization and synthesis of 2-formyl thiophene and the product obtained was characterized by proton nuclear magnetic resonance (1HNMR) spectroscopy. The efficacy of the developed electrode was examined by different electrochemical and physicochemical studies. It is an intriguing approach for the 4-acetamido-TEMPO (4-ACT) mediated, PThAA-Pi-MnO2-TCFP catalyzed electro-oxidation of thiophene-2-ylmethanol (TM). This method is handy and reasonably practical since the developed electrocatalyst is inexpensive, and the synthesis is environmentally benign. Hence it is a highly efficient method for synthesizing 2-formyl thiophene, a much sought-after starting material in pharmaceuticals, agrochemicals, and cosmetics. 2023 -
Indole-3-Carbinol Upconversion with Copper Oxide Nanoparticles Supported Graphitic Carbon Nitride: A Sustainable Approach
Electro-organic chemistry offers a sustainable and efficient approach to organic synthesis by utilizing electrochemical processes. This field has gained significant attention due to its potential for minimizing waste, reducing energy consumption, and enabling selective transformations. Herein, we report the development of a graphitic carbon nitride-coated carbon fiber electrode modified with electropolymerized amino-2-thiazole and electrodeposited Cu2O nanoparticles from copper nitrate trihydrate for the oxidation of Indole-3-carbinol (IC). Scanning electron microscopy, X-ray diffraction analysis, and X-ray photoelectron spectroscopy studies were carried out to characterize the developed electrode. Cyclic voltammetry, electrochemical impedance spectroscopy, and bulk electrolysis techniques were employed for the electrochemical studies. The enhanced electrochemical activity of the Cu2O-pAT-GCN-TCFP electrode compared to the individual GCN and polymer electrode was studied using electrochemical characterization, which revealed a 3-fold increase in the current response for Cu2O-pAT-GCN-TCFP (0.0011 A) compared to the bare electrode. The reaction was carried out using an aqueous carbonate buffer solution as an electrolyte via bulk electrolysis at a set potential of 0.82 V. The product obtained was isolated by column chromatography to obtain a yield of 74% and characterized by proton nuclear magnetic resonance (1H NMR) spectroscopy. Additionally, the Cu2O-pAT-GCN-TCFP electrode was studied for its stability, reproducibility, and selectivity. 2024 The Electrochemical Society (ECS). Published on behalf of ECS by IOP Publishing Limited. All rights, including for text and data mining, AI training, and similar technologies, are reserved. -
ZnO nanorods on POPD/GCN/TCFP with ternary synergy for promoting electro-oxidation of furfuryl alcohol
In this work, Poly(o-phenylenediamine) (POPD) and zinc oxide (ZnO) nanoparticles were electrochemically deposited on GCN (graphitic carbon nitride) coated TCFP (Toray carbon fiber paper) electrode. The modified electrode ZnO-POPD-GCN-TCFP was assessed by Field emission scanning electron microscopy (FESEM), X-ray diffraction analysis (XRD), and X-ray photoelectron spectroscopy (XPS) studies. The electrochemical studies were carried out via cyclic voltammetry (CV) and electrochemical impedance spectroscopic (EIS) methods. The developed electrode was employed for the oxidation of furfuryl alcohol (FA) using 4-ACT (4-acetamido TEMPO) as a mediator in an alkaline medium via bulk electrolysis. Proton nuclear magnetic resonance (1H NMR) spectroscopy was used to characterize the final product. The oxidation of FA to furfural was accelerated by the heterogeneous catalyst ZnO-POPD-GCN-TCFP electrode owing to its good electrocatalytic activity and stability. Hence, a sustainable electrochemical method for synthesizing furfural, with significance in the realm of green chemistry, was developed. The Electro-oxidation of FA offers a clean alternative to traditional methods utilizing electricity, potentially from renewable sources, to drive the reaction, reducing reliance on harsh chemicals and minimizing environmental impact. By adjusting parameters like electrode potential and electrolyte composition, it is possible to optimize the reaction conditions for furfural production with optimal yield, which has several applications in daily life. 2024 Elsevier Ltd -
Recent advances in electrochemical synthesis of nitriles: A sustainable approach /
ChemistrySelect, Vol.7, Issue 12, ISSN No: 2365-6549.
Nitriles unveil widespread applications in pharmaceuticals, agrochemicals, textiles, rubber, polymers, and constitute a significant intermediate in several organic transformations, necessitating the design of simple and environmentally benign pathways for their synthesis. Over the recent years, electro-organic reactions have found widespread attention in developing effective and selective organic synthesis. They possess several advantages: high atom economy, selectivity, minimal waste production, and shorter routes to multistep traditional organic reactions. The development of novel strategies for greener and sustainable electro-organic synthesis of nitriles is therefore commendable. -
DPETAs: Detection and Prevention of Evil Twin Attacks on Wi-Fi Networks
Numerous types of threats could become vulnerable to Wi-Fi networks. In terms of preventing and reducing their effect on the networks, it has become an imperative activity of any user to understand the threats. Even after thoroughly encrypting them, the route between the attackers device and the victims device may even be vulnerable to security attacks on Wi-Fi networks. It has also been noted that there are current shortcomings on Wi-Fi security protocols and hardware modules that are available in the market. Any device connected to the network could be a possible primary interface for attackers. Wi-Fi networks that are available in the transmission range are vulnerable to threats. For instance, if an Access Point(AP) has no encrypted traffic while it is attached to a Wi-Fi network, an intruder may run a background check to launch the attack.And then, attackers could launch more possible attacks in the targeted network, in which the Evil Twin attack have become the most prominent. This Evil Twin attack in a Wi-Fi network is a unique outbreak mostly used by attackers to make intrusion or to establish an infection where the users are exploited to connect with a victims network through a nearby access point. So, there are more chance to get users credentials by the perpetrators. An intruder wisely introduces a fake access point that is equivalent to something looks like an original access point near the network premises in this case. So, an attacker is capable of compromising the network when a user unconsciously enters by using this fake access point. Attackers could also intercept the traffic and even the login credentials used after breaching insecure networks. This could enable monitoring the users and perhaps even manipulating the behavior patterns of an authorized network user smoother for attackers. The key consideration of this research paper is the identification and avoidance of the Evil Twin attack over any Wi-Fi networks. It is named as DPETAs to address the strategies that intruders use to extract identities and what users need to do to keep them out of the networks. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Role of Metacognition in natural and Artificial systems
International proceedings of Computer Science and Information Technology, Vol. 37, pp. 34-99 ISSN No. 2010-460X -
Comparison of genetic algorithm with Particle Swarm Optimisation, ant colony optimisation and Tabu search based on university course scheduling system
Objectives: Planning and allocation of the various resources according to the constraints is a hilarious task. The paper aims to find a suitable method to solve the university course scheduling problem. Methods and Statistical Analysis: This paper compares the usage of Particle Swarm Optimisation (PSO), Ant Colony Optimisation (ACO), Tabu Search and Genetic Algorithm (GA) in the preparation of University Course Scheduling System. Certain hard constraints, which has to be satisfied and some soft constraints that can be satisfied are considered. Findings: The algorithm should check for the satisfaction of the hard constraints and the possibility of satisfying the soft constraints. Application/Improvements: The performance of the suitable method is found by comparing with the other methods based on various parameters. -
Co-MoS2 nanoflower coated carbon fabric as a flexible electrode for supercapacitor
Cobalt doped MoS2 (Co-MoS2) nanoflowers have been successfully synthesized via a simple one-step hydrothermal method for supercapacitor applications. To identify the crystalline nature and morphology, the as-prepared material is characterized by XRD, SEM, and TEM measurements. The material exhibits a specific capacitance value of 86 F g-1 at a current density of 1 Ag-1 in symmetric two-electrode configuration with excellent cyclic stability of 98.5% even after 10,000 chargedischarge cycles. The results suggest the suitability of Co-MoS2 as an efficient electrode material for supercapacitors. 2021 Elsevier Ltd. All rights reserved. -
Design Optimization of Electrical Connector Assembly using FEA
Due to the increasing number of devices and systems connected to an electric system, the need for reliable and high-quality electrical connectors has become more prevalent. This project aims to optimize the design of an electrical connector during its two most critical stages: insertion and retention of housing using FEA. A structural analysis is performed during the insertion and retention stages of housing. This process involves calculating the dimensional deformations and maximum strains developed during the steps mentioned above to determine the reliable functioning of electrical contacts. The input geometry is fed to the finite element analysis. The forces applied on the connectors latch on their respective connection are ensured to be under the limit. The analysis and simulation results are reflected to validate the safe forces in the connector assembly and a proper justification for an experimental set up in the laboratory. 2022, Books and Journals Private Ltd.. All rights reserved. -
Towards Visibility: Subaltern Counterpublics in Paul Chirakkarodes Pulayathara
Christianity has always been celebrated as a catalyst towards modernity for the Dalits of Kerala. Though missionary accounts and ethnographic studies confirm the progress of the community, there was rampant casteism and separatism too. This is succinctly revealed in Dalit Christian texts. Pulayathara by Paul Chirakkarode stands as a testimony to the Dalit Christian dilemma and traces the history of the Kuttanadan Pulaya community in the pre- and post-conversion scenarios. Conversions could not change the existing public sphere of Kerala, where upper castes were the dominant party. They (Dalits) continued to be marginalized and subordinated and lacked a class consciousness. The article highlights the limitations in the public sphere that emerged in Kerala as part of the missionary endeavours in accommodating the converted Dalits. The article attempts to trace the emergence of subaltern counterpublics among the Dalit Christians to oppose the continued oppression and casteism by situating Pulayathara at the centre of the analysis. 2022 Indian Institute of Management, Ahmedabad. -
What Numbers Never Revealed: Tracing Dalit Christian Modernity Through Malayalam Literature
Kerala has a long-standing history of Christianity as well as conversions. Conversions can be dated back to the fifteenth and sixteenth centuries, which saw a large number of slave caste conversions. For the slave castes of KeralaPulayas and ParayasChristianity offered a salvation from the circle of pollution. Scriptures provided the slave castes new vistas of knowledge which they encultured to form a counter discourse against the public sphere set up by the dominant castes. The public sphere of the Malayalee psyche was formed by the ideas of caste pollution, which restricted the slave castes from accessing the social space. A new Dalit perspective on the religious consciousness of the converted Christians will show the role of the Bible, Original Sin, and Repentance on their daily lives. Dalit Christian literature becomes the primary source where Christianity metamorphoses into an oppositional force in resisting oppression as well as in creating a social space with agency. 2022 Indian Institute of Management, Ahmedabad. -
Health Microinsurance-Challenges and Strategies
Golden Research Thoughts, Vol-2 (5), pp. 19-23. ISSN-2231-5063 -
Assessment of Battery Technologies for Future of Electro-Mobility in Emerging Markets
In the outset of economic growth, the emerging country like India faces challenges due to rapid urbanization, infrastructure and city-congestion. The increased demand for mobility and a pivotal role of internal combustion engines from decades in the transportation segment have led to two influencing factors i.e., increased dependency on the oil import from fuel rich countries and alarming levels of emission. Hence it is essential for a country like India to venture into newer technologies to reform the transportation segment, reduce the dependency on the oil import and also has a positive impact on the pollutants. There are few technological barriers for the development of electric vehicles over internal combustion (IC) engines in terms of cost and performance of the vehicle. Along with the reduction of emissions, the electric vehicles should exhibit considerably good specific energy density and specific power density to emulate over the conventional (IC) engines. The three major constituents of electric vehicles are the battery, electric engine and the controller. The energy storage device forms the crux of the electric vehicle and has a significant role in its performance as well as forms the expensive component of the vehicle. Hence this paper involves the evaluation of various battery technologies, their performance requirements and options feasible for electric vehicles of the future. 2018 IEEE. -
Joint algorithm for energy-conservation and secure key generation in wireless sensor network
From more than a decade, wireless sensor network is one of the active area of research area. However, the energy dissipation as well as security loopholes are still unanswered question inspite of massive research work. Hence, the proposed system implements a novel algorithm that cumulatively addresses the unwanted energy dissipation problem along with secure authentication process. The prime attempt of this paper was to maintain a well-balance relationship between energy efficiency and security robustness in large scale wireless sensor network. The proposed security process allows one node to authenticate another node using quadratic approach. Implemented over first order radio energy model, the outcome of the proposed system was found to outperform the conventional SecLEACH routing algorithm with respect to processing time and energy. Research India Publications. -
SARDS: Secured anonymous routing with digital signature in wireless sensor network
A Wireless Sensor Network has witnessed a massive research towards security as well as energy efficiency in past decades. However, there are few studies that have witnessed a cost effective secure routing technique with energy effectiveness till date. Objectives: Our objective is to use public key cryptography for ensuring energy-efficient routing technique in Wireless Sensor Network. Method/Analysis: The proposed paper presents a technique called as SARDS (Secured Anonymous Routing with Digital Signature) that performs verification of the routing information exchanged among the sensors in Wireless Sensor Network. SARDS uses elliptical curve cryptography as the backbone of security formulations and performs authentication of all the communicating nodes present in the network. Findings: The system also allows a dual layer of security by introducing a novel signature based scheme towards public key encryption policy. The outcome of the study shows SARDS to excel best in performance in comparison of existing security and energy efficient routing schemes. Application/Improvements: Proposed SARDS technique offers 1) A novel public key encryption, 2) A novel digital signature scheme, and 3) A novel privacy or anonymous scheme. The outcome of the proposed system is also found to be superior as compared to existing protocols e.g. SecLEACH, LEACH and PEGASIS. -
STREE: A Secured Tree based Routing with Energy Efficiency in Wireless Sensor Network
The Wireless Sensor Network (WSN) applications are today not only limited to the research stage rather it has been adopted practically in many defense as well as general civilians applications. It has been witness that extensive research have been conducted towards energy efficient routing and communication protocols and it has been reached to an acceptable stages, but without having a secure communications wide acceptance of the application is not likely. Due to unique characteristics of WSN, the security schemes suggested for other wireless networks are not applicable to WSN. This paper introduces an novel tree based technique called as Secure Tree based Routing with Energy Efficiency or STREE using clustering approximation along with lightweight key broadcasting mechanism in hierarchical routing protocol. The outcome of the study was compared with standard SecLEACH to find that proposed system ensure better energy efficiency and security. 2015 IEEE. -
Wound healing efficacy of curcumin-loaded sandalwood bark-derived carbon nanosphere/PVA nanofiber matrix
The present investigation deals with the evaluation of the wound healing efficacy of sandalwood bark-derived carbon nanospheres loaded with curcumin-embedded polyvinyl alcohol (PVA) nanofiber membranes (NF). Carbon nanospheres (CNS) were prepared by pyrolyzing sandal wood bark powder at 750 C. The morphology was confirmed by field emission scanning electron micrographs and a rich amount of carbon was confirmed by the energy dispersive X-ray technique. Curcumin, an active wound healing drug was loaded onto synthesized CNS and confirmed by ATR-IR studies. Drug-loaded CNS were anchored in a PVA matrix via electrospun nanofiber fabrication. The fabricated nanofiber membranes were characterized and evaluated for wound healing efficiency. The cytotoxicity assay proved the non-toxic nature of the prepared PVA/CNS-curcumin-loaded NF. Membranes with active CNS/drug showed better antimicrobial activity against S. aureus and E. coli, which was estimated using the zone of inhibition (ZOI) test. The in vitro scratch wound healing assay of prepared PVA/CNS-curcumin nanofibers was efficient enough and showed 92 to 98% wound closure, which was greater than the control (without drug) nanofiber membranes. The PVA nanofiber matrix with interconnected structure and carbon nanostructures together enhanced the wound healing efficacy of the considered wound healing membrane, which is a promising novel approach for future wound healing patches. 2023 The Royal Society of Chemistry. -
Assessing and Exploring Machine Learning Techniques for Cardiovascular Disease Prediction using Cleveland and Framingham Datasets
Heart disease prediction using machine learning has garnered significant attention due to its potential for early diagnosis and intervention. This study presents an analysis of various machine learning algorithms applied to HD prediction across multiple research papers. The goal of this study is to analyze the performance and predictive capabilities of various machine learning algorithms in predicting heart disease across different datasets and research papers. Algorithms such as Logistic Regression, Random Forest, Support Vector Machine, Decision Tree, Naive Bayes, and Gradient Boosting were evaluated using diverse datasets and parameters. In the Cleveland dataset, both Random Forest and Decision Tree classifiers achieved perfect accuracy 100%. Conversely, in the Framingham dataset, Random Forest exhibited the highest accuracy at 94%, followed by SVM at 87.45%, and Decision Tree at 85.23%. While specific algorithm performance varies depending on the dataset and parameters considered, ensemble methods like Random Forest often demonstrate superior performance. These findings underscore the effectiveness of machine learning in HD prediction and emphasize the significance of algorithm selection in developing accurate predictive models for cardiovascular health. 2024 IEEE. -
Microscale screen printing of large-area arrays of microparticles for the fabrication of photonic structures and for optical sorting
There are a limited number of methods applicable to the large-scale fabrication of arrays of discrete microparticles; however, such methods can be applied to the fabrication of structures applicable to photonics, barcoding, and optoelectronics. This manuscript describes a universal method, "microparticle screen printing" (?SP), for the rational patterning of micron-scale particles onto a variety of 2D substrates with diverse mechanical and chemical properties. Specifically, an array of microparticles of different sizes and compositions were patterned onto an array of materials of varying chemistry and stiffness using ?SP yielding a diversity of homo/heterogeneous microparticle-based structures. Further, this manuscript reports how the Young's moduli of the substrate can be used to calculate contact area and thus interaction energies (quantified using Hamaker constants) between the particle/substrate during ?SP. Generally, ?SP is most effective for substrates with low Young's moduli and large Hamaker constants (A132) with the target particles, as confirmed by the performance (quantified using yield and accuracy metrics) of ?SP for the different empirically investigated particle/substrate combinations. These understandings allow for the design of optimal surface/particle pairing for ?SP and were applied to the fabrication of a diversity of heterogeneous structures, including those with periodic vacancies in HCP (hexagonally closed packed) 2D photonic crystal useful to structural optics, optical particle screening useful to chemical assays, and the fabrication of structural barcodes useful for labeling and anticounterfeiting. 2018 The Royal Society of Chemistry. -
Chromatic Zagreb and irregularity polynomials of graphs
Graph coloring is an assignment of colors, labels or weights to elements of a graph subject to certain constraints. Coloring the vertices of a graph in such a way that adjacent vertices are having different colors is called proper vertex coloring. A proper vertex coloring using minimum parameters of colors is studied extensively in recent literature. In this paper, we define new coloring related polynomials, called chromatic Zagreb polynomials and chromatic irregularity polynomials, in terms of minimal parameter coloring and structural characteristics of graphs such as distances and degrees of vertices. 2021 World Scientific Publishing Company.