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New distribution records and molecular characterization of six commercially important groupers (Teleostei: Perciformes: Epinephelidae) from the Lakshadweep Islands, India
This study documents the first recorded occurrence of six commercially important grouper fish species (Teleostei: Perciformes: Epinephelidae) from the Lakshadweep Islands, India. The species documented in this study are the Snubnose grouper Epinephelus macrospilos (Bleeker, 1855), Brownspotted grouper Epinephelus chlorostigma (Valenciennes, 1828), Dotted grouper Epinephelus epistictus (Temminck and Schlegel, 1842), Slender grouper Anyperodon leucogrammicus (Valenciennes, 1828), White-edged lyretail Variola albimarginata Baissac, 1953 and Oblique-banded grouper Epinephelus radiatus (Day, 1868). Both morphological examination and molecular analysis were carried out to characterize and confirm the identity of these species. This investigation represents the first documentation of these six grouper species from the Lakshadweep Islands. The results enhance current understanding of the marine biodiversity of the region and provide valuable information for the management and sustainability of its commercially important fisheries. Copyright 2026 Magnolia Press -
New dynamical behaviour of the coronavirus (2019-ncov) infection system with non-local operator from reservoirs to people
The mathematical accepts while analysing the evolution of real word problems magnetizes the attention of many scholars. In this connection, we analysed and find the solution for nonlinear system exemplifying the most dangerous and deadly virus called coronavirus. The six ordinary differential equations of fractional order nurtured the projected mathematical model and they are analysed using q-homotopy analysis transform method (q-HATM). Further, most considered fractional operator is applied to study and capture the more corresponding consequences of the system, known as Caputo operator. For different fractional order, the natures of the achieved results are illustrated in plots. Lastly, the present investigation may aid us analyse the distinct and diverse classes of models exemplifying real-world problems and helps to envisage their corresponding nature with parameters associated with the models. 2021 NSP Natural Sciences Publishing Cor. -
New Empirical Equation for Fundamental Time Period of RC Moment-Resisting Frame Buildings Using Machine Learning Algorithms
The fundamental time period of reinforced concrete (RC) buildings is a critical parameter in structural engineering, influencing their dynamic behavior and response to seismic and wind loads. This study aims to propose a new empirical formula for estimating the fundamental time period of RC buildings through regression analysis. Leveraging the SAP2000 API with VBA code, a dataset comprising 200 two-dimensional RC building models was rapidly generated, allowing for efficient exploration of various building configurations. Modal analysis was conducted for each model to determine the fundamental time period, and regression analysis was performed using both multiple linear regression and curve estimation regression techniques. The input parameters included total building height and base dimensions, while the output variable was the fundamental time period obtained from SAP2000 results. Multiple linear regression yielded two best-fit models, while curve estimation regression produced logarithmic and exponential models. The proposed models were compared with the fundamental time period values obtained from SAP2000 results and those calculated using the formula specified in the Indian Standards (IS) code. Further the results obtained are used to develop a machine learning model that can be used to estimate the time period of RC structures for a given height. The model is chosen after estimating the coefficient of regression for various individual machine learning algorithms and ensemble algorithms. This research contributes to the advancement of structural engineering by providing a systematic approach to developing empirical formulas tailored to RC buildings. The proposed formula, enabled by the automation capabilities of the SAP2000 API, offers a more accurate and reliable method for estimating the fundamental time period, facilitating improved seismic design and analysis practices. Further validation and verification of the formulas performance using additional datasets and real-world case studies are recommended to enhance its applicability and robustness. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
New frontiers in polyphenol analysis: A review of electrochemical sensors and commercial devices enhancing food and beverage analysis
Food safety concerns arise from outbreaks of foodborne illnesses and contamination within the food supply. Polyphenols, naturally occurring compounds in plants, are characterized by multiple phenolic (hydroxyl) groups and are prevalent in fruits, vegetables, tea, coffee, and wine. While beneficial in moderation, excessive polyphenol intake is harmful, and they classified as secondary pollutants in environment. Therefore, accurate quantification of polyphenols is essential for ensuring product safety, quality, and nutritional value, which is the focus of this review. Electrochemical sensors offer a sensitive, selective, and cost-effective method for detecting polyphenols in food and beverages. The review examines advanced voltammetric techniques for identifying polyphenols in various food samples, including beverages and dietary products. Additionally, total antioxidant capacity (TAC) sensors are highlighted as valuable tools for assessing the antioxidant potential of foods, aiding in nutritional analysis and quality control. This review, for the first time, catalogs around ten commercially available devices and twenty assay kits for detecting antioxidant polyphenols, highlighting their significance in advancing food safety, bolstering consumer confidence, and supporting ongoing nutritional research. Additionally, made efforts to bridge a crucial gap between conventional research and industry needs by expanding the existing body of knowledge and providing fresh insights into polyphenol analysis. 2025 Elsevier Inc. -
New horizons in surface topography modulation of MXenes for electrochemical sensing toward potential biomarkers of chronic disorders
MXenes are recently advanced two-dimensional layered nanomaterials that have various characteristic properties for developing electrochemical sensors for bioanalytical applications, such as hydrophilicity, good biocompatibility, electrical conductivity, heightened ion transportation, and ease of functionalization. MXenes are revealed to be having applications in various other fields including energy storage, and catalysis. The combination of a layered structure, biocompatibility, and high surface functionalities makes MXene a highly versatile material for electrochemical sensing applications. The effect of various synthesis and functionalization strategies on tuning the properties of MXenes toward improving sensing abilities has been comprehensively discussed. This review article also discusses the relevance of early diagnosis of various biomarkers of chronic diseases via MXene modified electrochemical sensor for gaining a better understanding of their early diagnosis, disease progression, and risk assessment. Modification with MXenes improves the electrocatalytic functionality of the electrodes thereby improving their applicability in health and biomedical fields. 2022 Taylor & Francis Group, LLC. -
New horizons in surface topography modulation of MXenes for electrochemical sensing toward potential biomarkers of chronic disorders /
Critical Reviews in Solid State and Materials Sciences, Vol.7, Issue 3, pp.1-43, ISSN No: 1547-6561.
MXenes are recently advanced two-dimensional layered nanomaterials that have various characteristic properties for developing electrochemical sensors for bioanalytical applications, such as hydrophilicity, good biocompatibility, electrical conductivity, heightened ion transportation, and ease of functionalization. MXenes are revealed to be having applications in various other fields including energy storage, and catalysis. The combination of a layered structure, biocompatibility, and high surface functionalities makes MXene a highly versatile material for electrochemical sensing applications. The effect of various synthesis and functionalization strategies on tuning the properties of MXenes toward improving sensing abilities has been comprehensively discussed. -
New Horizons in the Synthesis, Properties, and Applications of MXene Quantum Dots
The progress of MXenes, a 2D layered structural material since its discovery in 2011 recently arouses a great deal of attention due to their plethora of applications in a diverse range of fields. Their excellent properties in terms of surface chemistry, optical activity, electrical conductivity, presence of abundant active catalytic sites, tunable band gap structure, ease of surface functionalization, and good biocompatibility make them an ideal candidate. The authors aim to guide the readers through various aspects such as their unique properties, synthesis techniques, and the recent advancements associated with MXene quantum dots (QDs). Herein, this review serves as a one-stop point for prospective researchers to gain a better understanding of the application of MXene QDs in various fields including electrochemical detection, biomedical applications, and energy conversion and storage applications. 2023 The Authors. Advanced Materials Interfaces published by Wiley-VCH GmbH. -
New Insights in the Bubble Wall of NGC 3324: Intertwined Substructures and a Bipolar Morphology Uncovered by JWST
We report the discovery of intertwined/entangled substructures toward the bubble wall of NGC 3324 below a physical scale of 4500 au, which is the sharp edge/ionization front/elongated structure traced at the interface between the H ii region and the molecular cloud. The sharp edge appears wavy in the Spitzer 3.6-8.0 ?m images (resolution ?2?). Star formation signatures have mostly been traced on one side of the ionization front, which lies on the molecular clouds boundary. The James Webb Space Telescopes (JWST) near- and mid-infrared images (resolution ?0.?070.?7) are employed to resolve the sharp edge, which has a curvature facing the exciting O-type stars. The elongated structures are associated with the 3.3 ?m polycyclic aromatic hydrocarbon (PAH) emission, the 4.05 ?m ionized emission, and the 4.693 ?m H2 emission. However, the PAH-emitting structures are depicted between the other two. The H2 emission reveals numerous intertwined substructures that are not prominently traced in the 3.3 ?m PAH emission. The separation between two substructures in the H2 emission is ?1.?1 or 2420 au. The intertwined substructures are traced in the spatial areas associated with the neutral to H2 transition zone, suggesting the origin of these structures by thin-shell instability. Furthermore, an arc-like feature traced in the Spitzer 3.6-8.0 ?m images is investigated as a bipolar H ii region (extent ?0.35 pc) at T d ?25-28 K using the JWST images. A massive-star candidate VPHAS-OB1 #03518 seems to be responsible for the bipolar H ii region. 2023. The Author(s). Published by the American Astronomical Society. -
New insights into surface functionalization and preparation methods of MWCNT based semiconductor photocatalysts
The manuscript primarily describes the influence of various synthesis strategies on the photocatalytic properties of MWCNT/TiO2 binary nanohybrids. The multiwalled carbon nanotube modified titania hybrids synthesized via two-step reaction involving the covalent functionalization with green and mild oxidizing agent like H2O2, followed by simple surfactant/template free hydrothermal synthesis exhibited the maximum photocatalytic efficiency. The Total Organic Carbon (TOC)analysis showed complete mineralization of the persistent Rhodamine B dye in about 8 h. These synthesized nanohybrids in varying MWCNT content were tested for their photocatalytic efficiency in the degradation of explosive effluents like 4-nitrophenol and picric acid. The UVVis diffuse reflectance spectroscopy (UVVis DRS), X-ray photoelectron spectroscopy (XPS), BrunauerEmmettTeller Surface area analysis (BET), Fourier transform infrared spectroscopy (FT-IR), Transmission electron microscopy (TEM)and Raman spectra analysis evidently revealed the effective synergistic interaction between the MWCNT and titania at the interface that has contributed to the significant enhancement of photocatalytic performance. 2019 Elsevier Ltd and Techna Group S.r.l. -
New Paradigm of Marketing-Financial Integration Modelling for Business Performance: An IMC Model
When it comes to the provision of financial services, the integrated marketing communication (IMC) process is crucial in the creation and maintenance of client-provider bonds. This research presents a literature assessment on the theoretical basis for using marketing communication tools in the provision of financial services. This research is an attempt to bolster the little theoretical literature on the effectiveness of marketing communication techniques in the provision of financial services. Financial service providers use marketing communication as a channel for two-way exchanges with their clientele, with the ultimate goal of maximising the benefits their customers bring to the company. When it comes to providing financial services, an organisations success hinges on its ability to effectively manage its relationships with both current and potential consumers. As a result, it is important for practical reasons to be guided by well-defined marketing communications goals to identify the extent of usage and within the constraints of available resources. In this regard, businesses are free to establish specific communications objectives in accordance with their unique situations to direct the implementation of their IMC plan. This study aims to find out an impact of financial integration with IMC on business performance. This study is descriptive in nature. Primary data is collected with the help of questionnaire. The study finds that the financial integration in the IMC model has a statistically significant impact on business success. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
New results on orthogonal component graphs of vector spaces over Zp
A new concept known as the orthogonal component graph associated with a finite-dimensional vector space over a finite field has been recently added as another class of algebraic graphs. In these types of graphs, the vertices will be all the possible non-zero linear combinations of orthogonal basis vectors, and any two vertices will be adjacent if the corresponding vectors are orthogonal. In this paper, we discuss the various colorings and structural properties of orthogonal component graphs. 2024 Azarbaijan Shahid Madani University. -
New results on upper domatic number of graphs
For a graph G = (V, E), a partition ? = {V1, V2,..., Vk} of the vertex set V is an upper domatic partition if Vi dominates Vj or Vj dominates Vi or both for every Vi, Vj ? ?, whenever i 6= j. The upper domatic number D(G) is the maximum order of an upper domatic partition of G. We study the properties of upper domatic number and propose an upper bound in terms of clique number. Further, we discuss the upper domatic number of certain graph classes including unicyclic graphs and power graphs of paths and cycles. 2020 Azarbaijan Shahid Madani University -
New Ventures in Medical Tourism: Digital Strategies for Mental Wellness and Patient Trust
Medical tourism is now a global industry which attracts over 14 million patients annually and generating more than 100 billion dollars in revenue. At this stage of development, new startups and digital initiatives are innovative redefining the sectors competitiveness with a focus on mental wellness and trust. While affordability and access were once the major determinants of patients choices, todays travelers are seeking emotional reassurance and genuine connection. In this chapter, I examine the empathic, transparent, psychologically considerate, and emotionally connected digital marketing strategies of tech- driven startups, wellness platforms, and healthcare innovators. It conceptualizes the integration of digital health with entrepreneurial innovation and patient psychology and offers insights and frameworks that view marketing as a form of engagement with compassion. It advocates that the integration of mental wellness with startup- driven digital innovation will transform global medical tourism into a more humane, sustainable, and trusted industry. 2026, IGI Global Scientific Publishing. -
NEWCOMERS SATISFACTION IN RELATION TO ORGANIZATIONAL CULTURE SOCIALIZATION AND SELF-EFFICACY OF EMPLOYEES IN INFORMATION TECHNOLOGY SECTOR
Rapid growth in IT sector poses unprecedented challenges to HR practices in organizations, which are primarily driven by constant pressure to recruit suitable candidates, meet the expectations of the new entrants and to reduce attrition. Some of the typical HR challenges faced by the rapid growth sectors are the expanding job demands that impact the structure and culture of the organization, the large recruitment of the new entrants and systematized induction training demands. In this dissertation, the focus is on understanding the socialization tactics of the new entrants in IT sector in terms of their role orientation, adjustment, organizational culture, self-efficacy and the overall satisfaction. Organizational Socialization of new employees has always been a critical process for most of the organizations. Over the years multiple aspects of socialization have been studied and the research on socialization has viewed it from multiple perspectives. Initially it was viewed as the process through which organizations acculturate the new entrants. However much of the recent research view it as a learning process in which the entrants role is much more important and organizations can only manage that process. The importance of socialization in organization needs to be overemphasized, as it is one of the essential components of building and maintaining organizational culture. The aspect of understanding organization culture is not a very new phenomenon but in most of the Indian organizations this study has not got momentum. Self-efficacy refers to ones personal belief regarding how capable one is in controlling events and situations in ones life, such as performing or completing specific tasks and behaviours. Socialization research has been conducted in several contexts. However, the context of IT sector has mostly been neglected. In the context of India there hasnt been much study. The lack of research this context coupled with contextual features of IT sector, which indicate greater new entrants self-efficacy with respect to their socialization tactics, has been the prime motive for this study. From such an interactionist perspective, it is necessary to investigate how both individual and organizational factors combine to influence (1) newcomers' subsequent adjustments to organizations (2) their role behaviours and (3) moderating effects of self-efficacy. The purpose of this study is to address these issues. The dependent variable is newcomers adjustment which is measured in terms of role outcomes such as role orientation, role conflict, role ambiguity and personal outcomes such as commitment to organization, intention to quit and job satisfaction. Independent variable is socialization tactics (collective vs. individual; formal vs. informal; investiture vs. divestiture; sequential vs. random; serial vs. disjunctive and fixed vs. variable). The moderating variables are demographic components such as gender, age, qualification, marital status, zone from where respondent has completed highest education, work-experience duration, number of past job experiences newcomers have and their future career choices. This study viewed socialization from an interactionist perspective and has investigated the link between socialization tactics and new entrants satisfaction. This study generated responses from newcomers having not more than 18 months of work- experience in a particular organization. The research includes responses from IT sector in Bangalore. A detailed standardized Questionnaire was adapted to be used as an instrumentation tool. The questionnaire was completed by 306 respondents using convenient sampling technique. The statistical techniques adopted are Cronbachs alpha reliability test, Descriptives (means and standard deviations), Percentile Quartile, Bivariate Correlations and ANOVA. Seven hypotheses were tested and analyzed. Innovative role orientation has a significant correlation with sequential random, serial disjunctive and fixed variable. A high score on orientation indicates an innovative role orientation in which a new entrant attempts to alter procedures for performing a role, the purpose of role itself, or both. There is significant influence of sequential random tactic followed by formal informal on the role orientation of the employees. In previous studies it was observed that invidualised tactics was positively correlated to innovative role orientation. But in current study the researcher found that institutionalized tactics were positively correlated to innovative role orientation. There is no significant influence of organizational culture on the satisfaction of the newcomers. The detailed findings, conclusions, and suggestions for further research have been discussed. Key Words: Organizational culture, Newcomers socialization tactics and Self-Efficacy -
Newly designed single-stage dual leg DC-DC/AC buck-boost converter for grid connected solar system
This paper proposes a novel single-stage buck-boost inverter based on dual leg. Modulation techniques, working principle, guidelines for components design, and guidelines are discussed and presented. A theoretical concept is initially tested in Simulink platform and practically verified with a test bench model. A practical model is developed to verify the simulation model and tested different modes of operation are analyzed. The main advantages of the proposed work are as follows: The number of passive components is less, switching frequency components are not high so leakage current is very less, and voltage control in a wide range is achieved without using a DC link capacitor. High efficiency can be achieved due to multi-stage operation. This proposed work is suitable for high/low voltage PV-based energy conversion. Electromagnetic interference is also reduced due to continuous input current. 2023 John Wiley & Sons Ltd. -
News coverage on Pope Francis by Indian media /
Media serves role of an ombudsman, creating a bridge between the public and the government. This paper deals with the news coverage on Pope Francis by Indian media. Not every person has the means to go to Vatican and meet the Pope. In such an instance, it is through the various channels of media that the followers get an opportunity to see the Pope, listen to his preaching and follow his activities. -
NEWSPAPER CAMPAIGNS - A SOCIAL MARKETING STRATEGY OF THE TIMES OF INDIA
For the past few words, newspaper campaigns have become the buzz word in the field of print media, which major media houses starting various campaigns targeting social issues. The campaigns of The Times of India, especially Lead India, Teach India and Aman Ki Asha, are some of the most prominent among them. These campaigns dealt with pertinent issues in today??s society like illiteracy, corruption, accountability among citizens and Indo-Pak relations. However, in the light of recent controversies involving the media and excessive importance being given by them to advertising, the role of newspapers as watchdogs of the society is being questioned. The researcher, thus, seeks to understand whether these campaigns are genuine initiatives for social changes or a tool by the newspaper to increase readership. This study will analyze the impact of the campaigns on the readers of The Times of India. Through quantitative research using questionnaire, this study will also gauge the opinion of the readers on whether newspapers of today are capable of being agents of social change. The methods of research will include quantitative analysis by questionnaire method to understand how people perceive the newspaper campaigns of The Times of India and in general, the potential of newspapers to bring about social change. A sample size of 100 Times of India readers was selected using the stratified random sampling technique. The study revealed the intentions of the campaigns of The Times of India as well as potential of newspapers in bringing about social change as perceived by the readers of The Times of India. -
NEWSPAPER IN EDUCATION: UNDERSTANDING THE MUTUAL BENEFIT AND APPROACH OF EDUCATIONAL INSTITUTIONS AND OF PRINT MEDIA
Newspaper in Education has been proved to help in a students academic achievements and not just a means of updating the current events, but a tool for a student versatile and resourceful. Newspapers are a teaching tool, not a subject. They are highly motivating materials that can be used to teach math, science, grammar, character education, reading comprehension, writing strategies, problem solving and so much more. - Vicki Whiting, former third grade teacher and founder of Kid Scoop. This research would explore two major factors: -
Next Gen Text Mining in English Literature: A Machine Learning Approach for Narrative and Stylistic Analysis
This paper presents a research work that is novel in nature, based on a new machine learning framework that focuses on a computational analysis in the field of English literature. This research uniquely aims at focusing on an intersection based on stylistic patterns and narrative structures. The newly proposed model is termed the 'Next Gen Text Mining Framework', which leverages transformer-based models (such as GPT, BERT), along with sentiment trajectory-based modeling, network analysis, and clustering algorithms for extracting stylistic features and latent semantics from the text on a large scale. A meticulously used re-processing type pipelining framework modifies and prepares the data for the model ingestion. The multi-modal approach used in this framework enables the experimental analysis of different models across various diverse corpora in the literature that demonstrate stability, superior accuracy, and robustness when compared to the traditional models, in tasks like the authorship attribution, sentimental trajectory mapping, and the theme-based classification. The proposed framework bridges the gap between distant and close reading practices, enhancing the pedagogically based engagements and translating the computational insights into interpretative forms for research and teaching. This research highlights a scalable and replicable framework model that is a transformative tool when a large-scale inquiry in literature is considered and sets a foundation towards multi-modal, future, cross-lingual, and multidisciplinary-based applications. 2025 IEEE. -
Next Generation AI-Enhanced Intelligent Imaging for Automated Knee X-ray Interpretation in Osteoarthritis: Front office Integration and Employee Training
Osteoarthritis is a long-lasting musculoskeletal ailment in which the degenerative alterations in the cartilage of the articles progressively arise. As the pathological anatomy develops to bone structure degeneration, it results in pain, stiffness and functional impairment. It results in immobility, reduced quality of life, more susceptibility to fractures, hospitalization, and mental health problems in the older adults and postmenopausal women. To address the increasing global prevalence of OA and the necessity to diagnose X-rays of the knee promptly, affordably and accessibly, this paper presents an AI-based imaging system based on the use of Convolutional Neural Networks (CNNs) and compares their results with the existing machine learning models. The framework will be structured to integrate the front-office workflows and streamline the diagnostic process of patient registration to report delivery and establish a well-organized staff training ecosystem aimed at enabling clinical staff to operate the AI-enabled workflow and adapt to it. The study offers a comprehensive, deployment ready, diagnostic platform through advanced automation, user oriented front-office functionality and the consistent upskilling of the workforce, to provide scalable, precise, cost effective OA detection, clinical efficiency, interpretative variability reduction, and workforce transition to scalable intelligent, patient centred care. 2025 IEEE.