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Exploring character strength in the functioning and well beings of religious leaders
Positive psychology is the scientific study of optimal functioning, flourishing and well-being of individuals and organizations. The backbone of positive psychology, the character strengths are significant in effective leadership functioning. The current study explored the character strengths development and character strengths utilization in the functioning and well-being of religious leaders (consecrated nuns and priests). There were 17 participants, nine female and eight male consecrated Catholic religious leaders. The study used the mixed design. The Values in Action Tests was administrated to identify leaders top strengths and a phenomenological approach was used to explore character strengths development as well as the usage of character strengths in the functioning of the religious leaders. The findings illustrated that the most prevalent character strengths of leaders are honesty, gratitude, teamwork, fairness, and kindness. The least prevalent strengths are love of learning, humour, appreciation of excellence, zest, judgement and creativity. Results showed that the influencing factors of character strengths development are family influences, experiences at school, formative programmes in the religious formation, critical events and factors enhancing strength. The strength of wisdom and knowledge were used mainly at organizational and administrative level of leadership functioning. Strengths of courage manifested at the implementation level. The strength of humanity is identified as the most striking character strength in leader-member exchange. The strength of temperance has the role of controller in leadership functioning. The strength of justice is seen as a catalyst in promoting cohesion in the community. The leaders pivotal manifestation of the strengths of transcendence is in their intimacy with God that gives higher purpose and meaning in leadership, that is, do the Will of God. Character strengths were found in promoting wellness through achievements, facilitating total engagement, giving a great purpose in leader life and in promoting better leader-follower interactions. The highlighted character strengths that promote well-being were gratitude and appreciation. The study has brought out an ongoing leadership training programme for religious leaders that can be completed in three phases. -
Pressure ulcer risk assessment device /
Patent Number: 202141043299, Applicant: Vijayalakshmi A.
A pressure ulcer is a localized injury to the skin or underlying tissue as a result of unrelieved pressure which can be intrinsic or extrinsic in nature. Prevention of pressure ulcer is a prime requisite for any immobile patients as it can worsen the health situations and can even lead to mortality. In the context of Indian scenario, this issue is quite ignored either due to the lack of awareness of its implications or because of the absence of adequate preventive measures. Pressure ulcer often called as bed sores is a common issue prevalent in the immobile bed ridden, especially the old age people and the vulnerable patients with chronic medical conditions. -
Artificial intelligence towards smart green transportation: A path towards sustainability
Emerging technological advancements and sustainability concerns have initiated the integration of smart technologies into the transportation infrastructure at major cities and tourist hubs. The rising environmental concerns have called for a shift in focus from conventional methods to innovative green transport initiatives being formulated by DMOs and destination planners. The use of data analytics and artificial intelligence in transportation has been proven to be a reasonable method for sustainable transportation. This study focuses on assessing the value propositions of smart transportation systems in enriching the tourist experience by providing convenient travel solutions. The chapter focuses on understanding the value proposition of smart transport designs at destinations and the long-term prospects of installing such sustainable infrastructure at major tourist hubs. The study also aims to evaluate the tourist experience in using smart transportation services and the potential benefits and challenges involved in the practical implementation of such systems. 2023, IGI Global. All rights reserved. -
Rectangular microstrip antenna for WLAN application
This paper deals with the design of rectangular microstrip patch antenna for Wireless applications. In this paper a modified slotted microstrip antenna design for 2.5GHz operation is proposed. This provides improved performance in terms of lower return loss and higher gain. This is possible by inclusion of slots appropriately on the patch shape. The substrate material used in this design is Duroid5880 with permittivity 2.2 and size 47.43mm 39.65mm 1.6mm. ANSOFT HFSS EM simulator has been used for design and simulation of the microstrip antenna. The various antenna parameters such as frequency, VSWR, gain and directivity are analyzed to characterize the proposed antenna. 2015 IEEE. -
Enzyme immobilized conducting polymer-based biosensor for the electrochemical determination of the eco-toxic pollutant p-nonylphenol
The unbridled release of harmful endocrine disruptors (EDs) into the environment is deteriorating human and animal health. A facile and efficacious biosensor was developed by immobilizing laccase over electropolymerized poly anthranilic acid on a carbon fiber paper (CFP) electrode, Lac/PAA/CFP for the detection of p-nonylphenol (PNP). PNP is a persistent phenolic endocrine disruptor and a harmful eco-toxic pollutant. Physico-chemical and electrochemical characterization of the fabricated electrode was carried out to study the modification of the Lac/PAA/CFP electrode. Cyclic voltammetric studies divulged that the prepared sensor has catalytic activity approximately twice greater than that of the bare CFP electrode. The influence of pH and scan rate was scrutinized for the modified electrode. Under optimized conditions differential pulse voltammetric studies were used for the quantification and the results revealed that the biosensor has a low limit of detection (LOD) and limit of quantification (LOQ) of 1.74 nM and 5 Nm, respectively with a broad linear dynamic range of 5250 nM. In the presence of interferants, the developed biosensor exhibited good selectivity toward the electrochemical detection of PNP. Molecular docking studies carried out revealed the hydrogen bonding interaction of the Asn264 residue of laccase Trametes versicolor. Further, the fabricated biosensor was accessed for its practicality in real samples collected from tap water and lake water. 2023 Elsevier Ltd -
Design and structural characteristics of conducting polymer-metal organic framework composites for energy storage devices
The popularity of portable gadgets has increased the supply for energy storage systems with significant power and energy densities Redox-active conducting polymers (CPs) have mechanical qualities similar to polymers and electrical conductivity properties similar to metals. Unfortunately, the volume changes that occur throughout the charge and discharge procedures cause them to function poorly. An efficient method to attain high performance is to combine CPs with metal-organic frameworks (MOF) to create composites. Despite MOFs' extraordinary interior surface areas and adaptable pore structures, they have poor stability, polymers can improve MOF stability and improve other crucial characteristics like electrical conductivity. The combination of these two different components can result in a variety of desired features that are not always attained by these components individually. The recent research on conducting polymer-based metal-organic framework (CP/MOF) composites for energy storage applications is thoroughly surveyed in this review paper. This review focuses on various CP/MOF-based fuel cells, batteries and supercapacitors, pertinent fabrication techniques, and important design principles. 2023 Elsevier B.V. -
On equitable near proper coloring of graphs
A defective vertex coloring of a graph is a coloring in which some adjacent vertices may have the same color. An edge whose adjacent vertices have the same color is called a bad edge. A defective coloring of a graph G with minimum possible number of bad edges in G is known as a near proper coloring of G. In this paper, we introduce the notion of equitable near proper coloring of graphs and determine the minimum number of bad edges obtained from an equitable near proper coloring of some graph classes. 2024 Azarbaijan Shahid Madani University. -
A road map on nanostructured surface tuning strategies of carbon fiber paper electrode: Enhanced electrocatalytic applications
Impressive characteristics of carbon fiber paper (CFP) electrodes propound greater demand in electrochemical applications. CFP has a network structure composed of interwoven carbon fibers (CFs). The macroporous structure, chemical inertness, high conductivity, low cost, corrosion resistance, good electrical properties, mechanical strength, and self-standing capabilities have led to the large-scale acceptance of CFP. This review appraises the current progress of CFP based electrodes for electrocatalytic applications in the field of electrochemical sensors, electrochemical capacitors, batteries, electro Fenton oxidation, electrooxidation of alcohols, water splitting, hydrogen evolution reaction (HER), and oxygen evolution reaction (OER) together with the different fabrication strategies on the CFP substrate in an organized manner. The different modifiers used for surface tuning of CFP addressed in this review are the conducting polymers, carbon-based nanomaterials, transition metal dichalcogenides/phosphides/carbides, and nanostructured metal oxides. 2022 Vietnam National University, Hanoi -
Biomass Carbon Dots: Illuminating New Era in Antimicrobial Defense and Cancer Combat
The twenty-first century has witnessed remarkable advancements across diverse facets of human life, including significant progress in the medical field, economic growth, scientific breakthroughs, and technological advancements. Despite these strides that improved living standards, the persistent threat posed by pathogenic infections caused by bacteria, fungi, viruses, etc., remains a critical concern. The enduring emergence of new variations of these infections continues to impact lives profoundly. Cancer is another looming spectre that continues to challenge human health security. Consequently, extensive research endeavours aim to develop swift, efficient, and innocuous methods for curing and preventing these infections. This paper explores a burgeoning field in physics, focusing on recent advancements in nanomaterials, particularly in developing carbon dots (CDs). Characterized by their size, which is less than 10nm, CDs have proven exceptionally beneficial in diagnosing and treating life-threatening health issues while preserving the viability of healthy cells. Their versatility is evident in various biomedical applications, serving as bioimaging probes, intracellular drug delivery agents, and agents for bactericidal and fungicidal, as well as in cancer treatment and diagnosis. The key attributes contributing to their efficacy include ease of functionalization, biocompatibility, fluorescence, low cytotoxicity, and catalytic properties. As an innovative nanomaterial, CDs showcase tremendous potential in advancing medical diagnostics and therapeutics, offering a glimpse into a future where these tiny entities play a pivotal role in ensuring human well-being. This review focuses on the antibacterial, antifungal, antiviral, and anticancerous activities of the CDs derived from various precursors derived by biomass. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Hidden Markov Model: Application towards genomic analysis
Hidden Markov Model (HMM) has become one of the interesting methods for the researchers, especially in bioinformatics where different analysis are carried out. These are widely used in science, engineering and many other areas such as bioinformatics, genomic mapping, computer vision, finance and economics, and in social science. HMMs require much smaller training sets, and that the examination of the inner structure of the model provides often a deeper understanding of the phenomenon. In this survey, we first describe the important algorithms for the HMMs, and provide useful comparisons, aiming at their advantages and shortcomings. We then consider the major g applications, such as annotations, gene alignment and profiling of sequences, DNA structure prediction, and pattern recognition. We also list some analysis on how to use HMM for DNA genomes. Finally, we conclude use and perspectives of HMMs in bioinformatics and provide a critical appraisal for the same. 2016 IEEE. -
On Equitable Near Proper Coloring of Mycielski Graph of Graphs
When the available number of colors are less than that of the equitable chromatic number, there may be some edges whose end vertices receive the same color. These edges are called as bad edges. An equitable near-proper coloring of a graph G is a defective coloring in which the number of vertices in any two color classes differ by at most one and the resulting bad edges is minimized by restricting the number of color classes that can have adjacency among their own elements. In this paper, we investigate the equitable near-proper coloring of Mycielski graph of graphs and determine the equitable defective number of those graphs. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
On Equitable Near Proper Coloring of Certain Graph Classes
The non-availability of sufficient number of colors to color a graph leads to defective coloring problems. Coloring a graph with insufficient number of colors cause the end vertices of some edges receive the same color. Such edges with same colored end vertices are called as bad edges. The minimum number of bad edges obtained from an equitable near proper coloring of a graph G is known as equitable defective number. In this paper, we discuss the equitable near proper coloring of some families of graphs and we also determine the equitable defective number for the same. 2022 American Institute of Physics Inc.. All rights reserved. -
On equitable near-proper coloring of some derived graph classes
An equitable near-proper coloring of a graph G is a defective coloring in which the number of vertices in any two color classes differ by at most one and the bad edges obtained is minimized by restricting the number of color classes that can have adjacency among their own elements. This paper investigates the equitable near-proper coloring of some derived graph classes like Mycielski graphs, splitting graphs and shadow graphs. Jose S., Naduvath S., 2022. -
Further results on equitable near proper coloring of derived graph families
A proper coloring assigns distinct colors to the adjacent vertices of a graph. An equitable near proper coloring of a graph G is an improper coloring in which neighbouring vertices are allowed to receive the same color such that the cardinalities of two distinct color classes differ by not more than one and the number of monochromatic edges is minimised by giving certain restrictions on the number of color classes that can have an edge between them. This paper discusses the equitable near proper coloring of line, middle, and total graphs of certain graph classes, such as paths, cycles, sunlet graphs, star graphs, and gear graphs. 2024 The Author(s). Published by Combinatorial Press. -
ChatGPT and Academia: Exploring the transformations and transitions
Since its launch in November 2022, this tool has brought massive transformations in almost every imaginable field. Among those fields, academia is perhaps the most discussed domain. However, much of what ChatGPT can do is still understudied. Therefore, this chapter aims to investigate the potential impact of ChatGPT in the domain of academia while exploring the possibilities for the future. The study emphasizes the theories that link ChatGPT's presence to its effects on academia and research. 2024, IGI Global. All rights reserved. -
Exploring the facets of chatbots and automation in tourism with special reference to ChatGPT
This chapter examines the role of chatbots, specifically ChatGPT, in the tourism industry, focusing on their influence on employment opportunities and job roles. It evaluates both the positive and negative impacts of chatbots on various aspects of tourism job roles, emphasizing their potential to enhance efficiency and customer satisfaction while acknowledging concerns regarding job displacement and diminished human interaction. Additionally, the study explores the benefits and drawbacks of automation in the tourism sector, highlighting its potential to streamline operations and improve productivity while also addressing challenges such as technical issues and the need for workforce upskilling. Furthermore, the chapter discusses strategies for upskilling the tourist workforce to effectively navigate the increasing automation in the industry and mitigate potential job losses. Lastly, the ethical implications of using ChatGPT in the tourism sector are examined, emphasizing the importance of responsible implementation to ensure fairness and human-centric values in tourism experiences. 2024, IGI Global. All rights reserved. -
Collision avoidance using gazebo simulator
Autonomous cars will make its complete presence on roads in the future. A major feature of autonomous cars currently under research is collision avoidance on roads. Better collision avoidance systems could result in a decrease in number of accidents. Smart collision avoidance systems could handle the increasing amount of vehicles on roads. Collision avoidance system provides alert to the autonomous vehicles if an unavoidable collision is detected. When the collision is definite to happen, collision avoidance system takes action by its own without any driver input (by braking or steering or both). Collision avoidance system does the obstacle avoidance by gathering information about the environment with the help of sensors embedded in the system. The effectiveness of collision avoidance system depends upon the speed at which the system reacts from the gathered inputs. This paper uses the Gazebo simulation to design and implement collision avoidance. This paper also present a simple and effective obstacle avoidance algorithm for a simulated robot. Turtlebots Obstacle Avoider algorithm is attached to the robot in the simulator with the support of ROS(Robotic operating system) to implement collision avoidance. BEIESP. -
Tweaking the electrocatalytic ability of Cu-MOF by the inclusion of PTA: a selective electrochemical sensor for resorcinol
Resorcinol (RL) is a phenolic compound that is extensively utilized in the industrial sector, mostly for skin care applications as an antiseptic and disinfectant. However, this chemical has the potential to be very hazardous to people and the environment due to its pernicious nature in the environment owing to its high degree of toxicity and weak degradation capacity. Finding novel analytical techniques to monitor RL is therefore crucial. A facile and superior electrochemical fabrication route was procured to develop the composite of Cu-BTC-MOF/PTA/CFP for the sensitive detection of resorcinol (RL). The modified Cu-BTC-MOF/PTA/CFP (copper benzene-1,3,5-tricarboxylate-poly-3-thiophene acetic acid) electrode displayed improved electron transport features as well as excellent electrocatalytic performance. The developed electrode was characterized using physicochemical and electrochemical techniques. The enhanced electrochemical activity of the Cu-BTC-MOF/PTA/CFP electrode compared to the individual MOF and polymer electrode was examined using electrochemical characterization, which revealed a 10-fold increase in the current response for Cu-BTC-MOF/PTA/CFP (0.004 A) compared to the bare electrode. The cyclic voltammetric analysis of the Cu-BTC-MOF/PTA/CFP electrode in the presence of 120 nM analyte gave an oxidation peak at 0.62 V and a 5.4-fold increase in the current peak compared to the bare CFP electrode suggesting a higher sensitivity in sensing the analyte. The limit of detection for RL under optimal conditions was calculated to be 8 nM with a broad linear range from 0.025 ?M to 350 ?M. In addition, the Cu-MOF/PTAA/CFP electrode was scrutinized for its stability, reproducibility, and selectivity. Real sample analysis was carried out to validate the analytical applications. 2024 RSC. -
Surface tempering of poly-(3 thiophene acetic acid) coated carbon fiber paper electrode with spine-like cobalt inorganic phosphate: An efficacious electrochemical metol sensor
N-methyl-p-aminophenol sulfate (metol) is a photographic developing agent that has a toxic effect on humans and aquatic life. A cost-effective and sensitive electrochemical sensor was developed by electrodepositing Co-Pi over poly-(3 thiophene acetic acid) coated carbon fiber paper electrode (Co-Pi/PTAA/CFP) for the determination of metol (ML). Surface modification of Co-Pi facilitates superior electrocatalytic performance by offering more active sites and faster electron transport kinetics. The Physico-chemical characterization of the fabricated electrode was carried out by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), Optical profilometer, Fourier transform infrared spectroscopy (FTIR), and electroanalytical techniques. The electrochemical studies were performed using Cyclic voltammetry (CV), Electron Impedance spectroscopy (EIS), and Differential pulse voltammetric (DPV). DPV studies revealed excellent sensing performance for ML, with a wide linear dynamic range of 6 nM to 800 nM, and a limit of detection (LOD) of 2 nM. A distinctive oxidative anodic peak was observed at 0.11 V indicating the excellent electrochemical performance of the electrode. The results suggested that the developed electrode exhibited good catalytic activity, selectivity, and sensitivity towards the electrochemical determination of ML. Further, the developed electrode was extended to its application in real samples obtained from lake water and domestic wastewater. 2022 -
