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New bounds of induced acyclic graphoidal decomposition number of a graph
An induced acyclic graphoidal decomposition (IAGD) of a graph G is a collection ? of nontrivial induced paths in G such that every edge of G lies in exactly one path of ? and no two paths in ? have a common internal vertex. The minimum cardinality of an IAGD of G is called the induced acyclic graphoidal decomposition number denoted by ? ia (G). In this paper we present bounds for ? ia (G) in terms of cut vertices and simplicial vertices of G. Springer Nature Switzerland AG 2019. -
New Business Development Strategies for Achieving Sustainable Growth
In an increasingly competitive and fast-paced global economy, sustainable business success hinges on the ability to innovate, adapt, and execute well-informed strategies. The modern entrepreneur or business leader must navigate complex challenges, from securing funding and managing teams to leveraging technology and aligning operations with long-term goals. Strategic frameworks that integrate both foundational business principles and emerging trends are essential for building resilient, scalable enterprises. By promoting agility, innovation, and sustainability, this topic directly supports economic development and empowers a new generation of leaders to create lasting, positive impact across industries and communities. New Business Development Strategies for Achieving Sustainable Growth provides a comprehensive road map to build, grow, and sustain successful businesses in an ever-changing global market. It bridges the gap between theoretical knowledge and practical application, equipping readers with actionable strategies to navigate challenges, leverage opportunities, and achieve long-term business success. Covering topics such as adaptive business, digitalization, and property management, this book is an excellent resource for entrepreneurs, business owners, managers, executives, students, consultants, educators, researchers, academicians, and more. 2026 by IGI Global Scientific Publishing. All rights reserved. -
New constituents triterpene ester and sugar derivatives from Panax ginseng Meyer and their evaluation of antioxidant activities
Panax ginseng C. A. Meyer (Araliaceae), is a well-known herb and used in the old established system of Oriental remedy, especially in Japan, China and Korea. Four new compounds characterized as (cis)- 7?,11?,19,21-tetra-O-decanoyl-18, 22?-dihydroxy-dammar-1-en-3-one (1), 3?,4?,12?-trihydroxystigmast-5-en-21-yl octadecan-9?,12?-dienoate (2), dammar-12, 24-dien-3?, 6?, 15?-triol-3?-D-arabinopyranosyl-6?-L-arabinopyranoside (3) and dammar-24-en-3?, 6?, 16?, 20?-tetraol-3?-D-arabinopyranosyl-6?-D-arabinopyranoside (4) were isolated and established from the ethyl acetate and butanol extracts of the roots of P. ginseng. Their structures were established on the basis of spectral data and chemical reactions. Natural compounds indicative a great reservoir of materials and compounds with evolved biological activity, including antioxidant. Compounds 14 were investigated in vitro for antioxidant potential using ferric reducing antioxidant power (FRAP), the Nitric oxide (NO) scavenging activity, reducing power, phosphomolybdenum and 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging actions, and the decision showed the compounds 3and 4 have probablyessential antioxidant properties than the compounds 1and 2 presented weak activity. 2016 The Authors -
New constraints on f(T) gravity from DESI DR2 and dark energy survey supernovae
We present new observational constraints on three viable f (T) gravity parametrizationsthe Power Law (f 1CDM), Linder (f 2CDM), and Exponential (f 3CDM) modelsusing the latest Baryon Acoustic Oscillations (BAO) measurements from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (DR2). We combine the spectroscopic DESI-DR2 data with Cosmic Chronometer (CC) measurements, the Type Ia Supernovae sample from the Dark Energy Survey (DES) Year 5, and early-universe CMB distance priors to break parameter degeneracies. Our Bayesian MCMC analysis reveals that while late-time data alone suggests a statistical preference for a non-zero deviation from GR at the 1 ? 2 ? level, the inclusion of CMB priors pulls the models significantly closer to the standard ?CDM limit. Specifically, we constrain the joint dataset distortion parameters to p1=?0.002?0.041+0.047, 1/p2=0.156?0.057+0.10, and 1/p3=0.144?0.023+0.071. Across all three models, the addition of early-universe data anchors the inferred Hubble constant to sub-percent precision, clustering around H0?67.3?67.7kms?1Mpc?1, showing excellent agreement with Planck 2018 results but remaining in tension with local SH0ES calibrations. Statistical model comparison demonstrates that while late-time data favors the f (T) extensions (?AIC'?2), the comprehensive joint analysis renders them statistically indistinguishable from ?CDM based on the Akaike Information Criterion (?AIC ? 2). Furthermore, the Bayesian Information Criterion (BIC) finds moderate to strong evidence against the extensions (4 ' ?BIC ? 7.5) due to the penalty on model complexity. We conclude that while current precision data accommodate late-time torsional modifications to gravity, the standard ?CDM model remains a statistically sufficient and more parsimonious description of the cosmic expansion when considering the full evolutionary history. 2026 Elsevier B.V. -
New developments in the study of parity signed graphs
A signed graph has all its edges signed with either negative or positive signs. Parity signed graphs are generated from the integer labeling of the vertices of a graph. An edge gets a positive sign if its end vertices are of the same parity and gets a negative sign if its end vertices are of the opposite parity. Signed graphs which admit parity labeling can be characterized. All parity signed graphs are balanced but not the converse. 2020 Author(s). -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
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.