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Journal articles on the topic 'Modified neighborhood Dakshayani indices'
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1
V., R. Kulli. "F1 -NEIGHBORHOOD AND SQUARE NEIGHBORHOOD DAKSHAYANI INDICES OF SOME NANOSTRUCTURES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 8 (2019): 126–38. https://doi.org/10.5281/zenodo.3377432.
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We propose the modified first and second neighborhood Dakshayani indices, F<sub>1</sub>-neighborhood Daksiyani index, minus neighborhood Dakshayani index and square neighborhood Dakshayani index of a graph. In this study, we compute the F<sub>1</sub> neighborhood Dakshayani index, minus neighborhood Dakshayani index, square neighborhood Dakshayani index and their polynomials of line graphs of subdivision graphs of 2-D lattice, nanotube, nanotorus of TUC<sub>4</sub>C<sub>8</sub> [p, q]. Furthermore we determine the modified first and second neighborhood Dakshayani indices of 2-D lattice, nanotube, nanotorus of TUC<sub>4</sub>C<sub>8</sub> [p, q]. <strong>Mathematics Subject Classification :</strong> 05<em>C</em>07, 05<em>C</em>12, 05<em>C</em>76
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Kulli, V. R. "Multiplicative ABC, GA and AG Neighborhood Dakshayani Indices of Dendrimers." International Journal of Fuzzy Mathematical Archive 17, no. 02 (2019): 77–82. http://dx.doi.org/10.22457/203ijfma.v17n2a2.
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Connectivity indices are applied to measure the chemical characteristics of chemical compounds in Chemical Sciences, Medical Sciences. In this study, we introduce the multiplicative ABC neighborhood Dakshayani index, multiplicative GA neighborhood Dakshayani index and multiplicative AG neighborhood Dakshayani index of a molecular graph. We compute these multiplicative connectivity neighborhood Dakshayani indices of POPAM dendrimers. Also we determine the multiplicative sum connectivity neighborhood Dakshayani index and multiplicative product connectivity neighborhood Dakshayani index of POPAM dendrimers.
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Kulli, V. R. "Connectivity Neighborhood Dakshayani Indices of POPAM Dendrimers." Annals of Pure and Applied Mathematics 20, no. 1 (2019): 49–54. http://dx.doi.org/10.22457/apam.631v20n1a7.
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V R, Kulli. "Computation of Distance Based Connectivity Status Neighborhood Dakshayani Indices." International Journal of Mathematics Trends and Technology 68, no. 6 (2020): 118–28. http://dx.doi.org/10.14445/22315373/ijmtt-v66i6p513.
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Afzal, Deeba, Saira Hameed, Usman Ashraf, Arif Mehmood, Faryal Chaudhry, and Dhan Kumari Thapa. "Study of Neighborhood Degree-Based Topological Indices via Direct and NM-Polynomial of Starphene Graph." Journal of Function Spaces 2022 (June 15, 2022): 1–16. http://dx.doi.org/10.1155/2022/8661489.
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Our objective is to compute the neighborhood degree-based topological indices via NM-polynomial for starphene. In the neighborhood degree-based topological indices, we compute the third version of the Zagreb index; neighborhood second Zagreb index; neighborhood forgotten topological index; neighborhood second modified Zagreb index; neighborhood general Randic index; neighborhood harmonic index; neighborhood inverse sum index; first, second, third, fourth, and fifth NDe indices; fourth atom bond connective index; fifth geometric arithmetic index; fifth arithmetic-geometric index; fifth hyper-first and second Zagreb index; general first neighborhood index; and Sanskruti index. These neighborhood topological indices are computed both direct and via the NM-polynomial approach.
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Mondal, Sourav, Nilanjan De, and Anita Pal. "Topological properties of Graphene using some novel neighborhood degree-based topological indices." International Journal of Mathematics for Industry 11, no. 01 (2019): 1950006. http://dx.doi.org/10.1142/s2661335219500060.
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Topological indices are numeric quantities that transform chemical structure to real number. Topological indices are used in QSAR/QSPR studies to correlate the bioactivity and physiochemical properties of molecule. In this paper, some newly designed neighborhood degree-based topological indices named as neighborhood Zagreb index ([Formula: see text]), neighborhood version of Forgotten topological index ([Formula: see text]), modified neighborhood version of Forgotten topological index ([Formula: see text]), neighborhood version of second Zagreb index ([Formula: see text]) and neighborhood version of hyper Zagreb index ([Formula: see text]) are obtained for Graphene and line graph of Graphene using subdivision idea. In addition, these indices are compared graphically with respect to their response for Graphene and line graph of subdivision of Graphene.
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V.R., Kulli. "Neighborhood Kepler Banhatti and Modified Neighborhood Kepler Banhatti Indices of Certain Dendrimers." International Journal of Mathematics and Computer Research 13, no. 03 (2025): 4983–91. https://doi.org/10.5281/zenodo.15067443.
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In this paper, we introduce the neighborhood Kepler Banhatti index, modified neighborhood Kepler Banhatti index and their corresponding exponentials of a graph. Also we compute these neighborhood Kepler Banhatti indices of certain dendrimers. Furthermore, we establish some properties of newly defined the neighborhood Kepler Banhatti index.
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Aslam, Madeeha, Deeba Afzal, Mohammad Reza Farahani, Murat Cancan, and Mehdi Alaeiyan. "Computational Study of Tetrameric 1-3 Adamantane via NM-Polynomial." Archives des Sciences 74, no. 3 (2024): 43–50. http://dx.doi.org/10.62227/as/74308.
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NM-polynomial is commendably effective for computations of neighborhood degree sum based topological indices. This work comprises of computations of topological invariants which are first, second, third, fourth and fifth N D e indices, third version of Zagreb index, neighborhood second Zagreb index, neighborhood second modified Zagreb index, neighborhood forgotten topological index, neighborhood general Randi\’c index, neighborhood harmonic index, neighborhood inverse sum index, fourth atom bond connective index, fifth geometric arithmetic index, fifth arithmetic geometric index, fifth hyper first and second Zagreb index and Sunskurti index. In the end graphs are added for better understanding of these invariants.
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Altassan, Alaa, Anwar Saleh, Hanaa Alashwali, Marwa Hamed, and Najat Muthana. "Entire Neighborhood Topological Indices: Theory and Applications in Predicting Physico-Chemical Properties." International Journal of Analysis and Applications 23 (March 31, 2025): 79. https://doi.org/10.28924/2291-8639-23-2025-79.
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Topological indices are numerical descriptors that describe the chemical structures of chemical compounds using their molecular graphs. Recent advancements in topological indices have seen the emergence of neighborhood indices and entire topological indices, offering distinct perspectives on molecular structure. Neighborhood indices emphasize local atomic environments, while entire indices provide a comprehensive view by considering interactions between atoms, bonds, and their combinations. To achieve a more balanced and informative representation, we introduce 'entire neighborhood indices'. By integrating the localized focus of neighborhood indices within the framework of entire indices, these new descriptors offer a more complete picture of molecular structure and are expected to significantly enhance the accuracy of predictions for various molecular properties. In this paper, we introduce a new version of Zagreb topological indices named first, second, and modified entire neighborhood topological indices; denoted by \(NM_{1}^{\varepsilon}\), \(NM_{2}^{\varepsilon}\), and \(MNM_{1}^{\varepsilon}\), respectively. The structure-property regression analysis is used to investigate and compute the chemical significant of these newly introduced indices for the prediction of the physico-chemical properties of octane isomers and benzenoid hydrocarbons benchmark datasets. We analays and calculate the specific formulae of the entire neighborhood indices for several important graph families such as path, regular, cycle, complete, bipartite, book, gear and helm graph. Furthermore, we determine the exact value of these new indices for some types of bridge graphs and Sierpinski graphs.
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Mondal, Sourav, Nilanjan De, and Anita Pal. "On Some New Neighborhood Degree-Based Indices for Some Oxide and Silicate Networks." J 2, no. 3 (2019): 384–409. http://dx.doi.org/10.3390/j2030026.
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Topological indices are numeric quantities that describes the topology of molecular structure in mathematical chemistry. An important area of applied mathematics is the chemical reaction network theory. Real-world problems can be modeled using this theory. Due to its worldwide applications, chemical networks have attracted researchers since their foundation. In this report, some silicate and oxide networks are studied, and exact expressions of some newly-developed neighborhood degree-based topological indices named as the neighborhood Zagreb index ( M N ), the neighborhood version of the forgotten topological index ( F N ), the modified neighborhood version of the forgotten topological index ( F N ∗ ), the neighborhood version of the second Zagreb index ( M 2 ∗ ), and neighborhood version of the hyper Zagreb index ( H M N ) are obtained for the aforementioned networks. In addition, a comparison among all the indices is shown graphically.
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Zaman, Shahid, Mehwish Jalani, Asad Ullah, and Ghulamullah Saeedi. "Structural Analysis and Topological Characterization of Sudoku Nanosheet." Journal of Mathematics 2022 (November 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/5915740.
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The physical and biological properties of chemical compounds are modelled using chemical graph theory. The geometric structure of chemical compounds can be modelled using a variety of topological indices derived from graph theory. The chemical structures, physicochemical characteristics, and biological activities are predicted by the topological indices using the real numbers derived from the molecular compound. The topological index’s first use was to identify the physical characteristics of alkenes. A topological index is a molecular structure descriptor calculated from a chemical compound’s molecular graph describing its topology. When applied to a chemical compound’s molecular structure, it tells the theoretical properties. The chemical structure is studied as a graph, where elements are denoted as vertices, and chemical bonds are called edges. In this study, we have computed some novel topological indices named as modified neighborhood version of the forgotten topological index F N ∗ , the neighborhood version of the first multiplicative Zagreb M 1 ∗ , the neighborhood version of the second Zagreb index M 2 ∗ , the neighborhood version of hyper-Zagreb index HM N , the Sambor topological index SO G , and the Sambor reduced topological index SO red G for the Sudoku nanosheet and derived formulas for them. Based on the derived formulas, the numerical results of the understudy nanosheet’s physical and chemical properties are investigated. Our computed results are undoubtedly helpful in understanding the topology of the understudy nanosheet. These computed indices have the best correlation with acentric factor and entropy; therefore, they are effective in QSPRs and QSARs analysis with complete accuracy.
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Wazzan, Suha, and Hanan Ahmed. "Unveiling novel eccentric neighborhood forgotten indices for graphs and gaph operations: A comprehensive exploration of boiling point prediction." AIMS Mathematics 9, no. 1 (2023): 1128–65. http://dx.doi.org/10.3934/math.2024056.
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<abstract><p>This paper marks a significant advancement in the field of chemoinformatics with the introduction of two novel topological indices: the forgotten eccentric neighborhood index (FENI) and the modified forgotten eccentric neighborhood index (MFENI). Uniquely developed for predicting the boiling points of various chemical substances, these indices offer groundbreaking tools in understanding and interpreting the thermal properties of compounds. The distinctiveness of our study lies in the in-depth exploration of the discriminative capabilities of FENI and MFENI. Unlike existing indices, they provide a nuanced capture of structural features essential for determining boiling points, a key factor in drug design and chemical analysis. Our comprehensive analyses demonstrate the superior predictive power of FENI and MFENI, highlighting their exceptional potential as innovative tools in the realms of chemoinformatics and pharmaceutical research. Furthermore, this study conducts an extensive investigation into their various properties. We present explicit results on the behavior of these indices in relation to diverse graph types and operations, including join, disjunction, composition and symmetric difference. These findings not only deepen our understanding of FENI and MFENI but also establish their practical versatility across a spectrum of chemical and pharmaceutical applications. Thus the introduction of FENI and MFENI represents a pivotal step forward in the predictive analysis of boiling points, setting a new standard in the field and opening avenues for future research advancements.</p></abstract>
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Shen, Jie, Yufan Guan, Supraja Gururaj, et al. "Neighborhood Disadvantage, Built Environment, and Breast Cancer Outcomes: Disparities in Tumor Aggressiveness and Survival." Cancers 17, no. 9 (2025): 1502. https://doi.org/10.3390/cancers17091502.
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Background: Breast cancer disparities persist globally, with growing evidence implicating neighborhood and built environmental factors in disease outcomes. Methods: This study investigates the associations between neighborhood disadvantage, environmental exposures, and breast tumor characteristics and survival among 3041 stage I–III breast cancer patients treated at the University of Virginia Comprehensive Cancer Center (2014–2024). Neighborhood disadvantage was assessed via the Area Deprivation Index (ADI), while environmental exposures included PM2.5, green space (NDVI), and food indices (modified retail food environment index (mRFEI), retail food activity index (RFAI)). Multivariable regression and Cox models adjusted for demographic, socioeconomic, and clinical covariates were employed. Results: A higher ADI score was associated with aggressive tumor characteristics, including advanced stage (Odds Ratio (OR) = 1.06, 95% Confidence Interval (CI):1.01–1.11), poor differentiation (OR = 1.07, 1.01–1.15), ER-negative status (OR = 1.06, 1.01–1.12), and triple-negative breast cancer (TNBC) (OR = 1.08, 1.02–1.16), as well as younger diagnosis age (β = −0.22, −0.36 to −0.09). PM2.5 exposure was correlated with advanced tumor stage (OR = 1.24, 1.09–1.40 for stage III) but paradoxically predicted improved survival (Hazard Ratio (HR) = 0.71, 0.63–0.82). The food environment indices showed subtype-specific survival benefits: higher mRFEI and RFAI scores were linked to reduced mortality in ER-negative (HR = 0.45, 0.23–0.85 and HR = 0.61, 0.38–0.97) and TNBC (HR = 0.40, 0.18–0.90 and HR = 0.48, 0.26–0.87) patients. NDVI scores exhibited no significant associations. Conclusion: Our findings underscore the dual role of neighborhood disadvantage and the built environmental in breast cancer outcomes. While neighborhood disadvantage and PM2.5 exposure elevate tumor aggressiveness, survival disparities may be mediated by other factors. Improved food environments may enhance survival in aggressive subtypes, highlighting the need for integrated interventions addressing socioeconomic inequities, environmental risks, and nutritional support needs.
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Boudane, Fatima, and Ali Berrichi. "Multi-Objective Artificial Bee Colony Algorithm for Parameter-Free Neighborhood-Based Clustering." International Journal of Swarm Intelligence Research 12, no. 4 (2021): 186–204. http://dx.doi.org/10.4018/ijsir.2021100110.
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Although various clustering algorithms have been proposed, most of them cannot handle arbitrarily shaped clusters with varying density and depend on the user-defined parameters which are hard to set. In this paper, to address these issues, the authors propose an automatic neighborhood-based clustering approach using an extended multi-objective artificial bee colony (NBC-MOABC) algorithm. In this approach, the ABC algorithm is used as a parameter tuning tool for the NBC algorithm. NBC-MOABC is parameter-free and uses a density-based solution encoding scheme. Furthermore, solution search equations of the standard ABC are modified in NBC-MOABC, and a mutation operator is used to better explore the search space. For evaluation, two objectives, based on density concepts, have been defined to replace the conventional validity indices, which may fail in the case of arbitrarily shaped clusters. Experimental results demonstrate the superiority of the proposed approach over seven clustering methods.
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Tu, Dengqin, Guiqiong Xu, and Lei Meng. "GPN: A novel gravity model based on position and neighborhood to identify influential nodes in complex networks." International Journal of Modern Physics B 35, no. 17 (2021): 2150183. http://dx.doi.org/10.1142/s0217979221501836.
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The identification of influential nodes is one of the most significant and challenging research issues in network science. Many centrality indices have been established starting from topological features of networks. In this work, we propose a novel gravity model based on position and neighborhood (GPN), in which the mass of focal and neighbor nodes is redefined by the extended outspreading capability and modified k-shell iteration index, respectively. This new model comprehensively considers the position, local and path information of nodes to identify influential nodes. To test the effectiveness of GPN, a number of simulation experiments on nine real networks have been conducted with the aid of the susceptible–infected–recovered (SIR) model. The results indicate that GPN has better performance than seven popular methods. Furthermore, the proposed method has near linear time cost and thus it is suitable for large-scale networks.
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Osama, Ahmed, Maria Albitar, Tarek Sayed, and Alexander Bigazzi. "Determining If Walkability and Bikeability Indices Reflect Pedestrian and Cyclist Safety." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (2020): 767–75. http://dx.doi.org/10.1177/0361198120931844.
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Walkability and bikeability indices are used to succinctly quantify how conducive an environment is to walking and cycling, often including factors related to comfort and perceived safety. The potential assumption that “walkable” and “bikeable” mean safe for walking and cycling (i.e., the association with objective safety or crash risk) has not yet been examined. This study investigates the association between two widely used measures (walk score and bike score) and pedestrian and cyclist crashes in Vancouver, Canada, to determine whether more walkable and bikeable areas of the city are also safer for walking and biking, after controlling for exposure. Multivariate Bayesian crash models with random and spatial effects are developed for pedestrian–motor-vehicle and cyclist–motor-vehicle crashes in 134 traffic analysis zones using 5 years of crash data with walking, cycling, and motor-vehicle traffic volume controls for exposure. Results indicate that areas of the city with higher walkability and bikeability can be potentially associated with greater pedestrian and cyclist crash risk, respectively, even after controlling for exposure. While the clear answer is that neighborhood walkability and bikeability does not indicate safety for pedestrians and cyclists, questions remain as to whether they should, and if so, how they could be modified to better incorporate objective risk.
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KATSAOUNIS, T., G. T. KOSSIORIS, and G. N. MAKRAKIS. "COMPUTATION OF HIGH FREQUENCY FIELDS NEAR CAUSTICS." Mathematical Models and Methods in Applied Sciences 11, no. 02 (2001): 199–228. http://dx.doi.org/10.1142/s0218202501000842.
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It is well known that although the usual harmonic ansatz of geometrical optics fails near a caustic, uniform expansions can be found which remain valid in the neighborhood of the caustic, and reduce asymptotically to the usual geometric field far enough from it. Such expansions can be constructed by several methods which make essentially use of the symplectic structure of the phase space. In this paper we efficiently apply the Kravtsov–Ludwig method of relevant functions, in conjunction with Hamiltonian ray tracing to define the topology of the caustics and compute high-frequency scalar wave fields near smooth and cusp caustics. We use an adaptive Runge–Kutta method to successfully retrieve the complete ray field in the case of piecewise smooth refraction indices. We efficiently match the geometric and modified amplitudes of the multi-valued field to obtain numerically the correct asymptotic behavior of the solution. Comparisons of the numerical results with analytical calculations in model problems show excellent accuracy in calculating the modified amplitudes using the Kravtsov–Ludwig formulas.
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Leung, Ka-Man, Folake Orekoya, Adrian J. Bailey, Hor-Yan Lai, Ka-Yi Chan, and Ting-Lok Lam. "Health of Youth in Transition in Hong Kong." International Journal of Environmental Research and Public Health 17, no. 11 (2020): 3791. http://dx.doi.org/10.3390/ijerph17113791.
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This study aimed to examine the impact of individual (level of vigorous physical activity (VPA) and frequency of using sports and recreation facilities), interpersonal (perceived social cohesion (PSC)), and neighborhood environmental (availability of sports and recreation facilities) factors on youths’ health in transition in Hong Kong. A sample of 508 individuals aged 17–23 years from all Hong Kong council districts randomly completed validated questionnaires by telephone survey. Of 508,302 individuals with complete data pertaining to address geocoding were selected for further analyses. Overall, more than half of them (56.3%) used sports and recreation facilities once per month or less. Structural equation modeling was used to examine the relationship among the studies’ constructs. The results indicated that the proposed model sufficiently fitted the data (χ2 (24) = 32.23, p < 0.12; CFI = 0.977; SRMR = 0.051; RMSEA = 0.034 (90% CI = 0.000 to 0.061). However, two items of PSC were sequentially removed due to their low standardized factor loadings (<0.3). A structural model was reinserted into data analyses, and the modified model fitted the data well as indicated by fit indices (χ2 (11) = 15.29, p < 0.17; CFI = 0.987; SRMR = 0.054; RMSEA = 0.036 (90% CI = 0.000 to 0.075). Only VPA (β = 0.27, p = 0.0005) and PSC (β = 0.12, p = 0.048) were significantly related to perceived health at an individual level. To promote youth health, the Hong Kong government may work with the business sector, community groups, or education institutions to develop community programs to keep youths active (especially VPA) and to build more cohesive, trustful relationships among youths in the neighborhood.
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Engdahl, Bjørg Jenny Kokkvoll, Tim Carlsen, Morten Køltzow, and Trude Storelvmo. "The Ability of the ICE-T Microphysics Scheme in HARMONIE-AROME to Predict Aircraft Icing." Weather and Forecasting 37, no. 2 (2022): 205–17. http://dx.doi.org/10.1175/waf-d-21-0104.1.
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Abstract In-cloud icing is a major hazard for aviation traffic and forecasting of these events is an important task for weather agencies worldwide. A common tool utilized by aviation forecasters is an icing intensity index based on supercooled liquid water from numerical weather prediction models. We seek to validate the modified microphysics scheme, ICE-T, in the HARMONIE-AROME numerical weather prediction model with respect to aircraft icing. Icing intensities and supercooled liquid water derived from two 3-month winter season simulations with the original microphysics code, CTRL, and ICE-T are compared with pilot reports of icing and satellite retrieved values of liquid and ice water content from CloudSat–CALIPSO and liquid water path from AMSR-2. The results show increased supercooled liquid water and higher icing indices in ICE-T. Several different thresholds and sizes of neighborhood areas for icing forecasts were tested out, and ICE-T captures more of the reported icing events for all thresholds and nearly all neighborhood areas. With a higher frequency of forecasted icing, a higher false alarm ratio cannot be ruled out, but is not possible to quantify due to the lack of no-icing observations. The increased liquid water content in ICE-T shows a better match with the retrieved satellite observations, yet the values are still greatly underestimated at lower levels. Future studies should investigate this issue further, as liquid water content also has implications for downstream processes such as the cloud radiative effect, latent heat release, and precipitation.
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Omoyajowo, Koleayo, Kolawole Omoyajowo, Adeyemi Akinola, et al. "Are Genetically-Modified Foods Made for the Common Good? The Perspectives of the Victoria Islanders." Global Journal of Environmental Science and Sustainability 1, no. 1 (2024): 110–23. https://doi.org/10.69798/53920008.
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This research investigated the depth of public knowledge on genetically modified food products, and further explored their understanding of the underlining socio-environmental and public health benefits of GM food products within the socio-demographic indices. To achieve this goal, 369 respondents were recruited through a convenience sampling method in Victoria Island, Lagos, Nigeria and data were gathered using a structured questionnaire. The target population for this study comprised "employed adults either residing or working" on Victoria Island, Lagos. The results showed that the majority of respondents (n=232, 62.9%) were knowledgeable about GM foods and their associated issues. However, many believed that people in their neighborhood or community were not well-informed on the topic. However, awareness on GM foods and associated concerns may be associated with sociodemographic factors such as marital status and education (P<0.01). The majority of respondents were well-informed and had an understanding of the environmental and health advantages of GM foods. In fact, about 61.8% believed that GM food production could sustainably decrease the reliance on chemical pesticides, fertilizers, and other energy inputs, along with their ecological impacts. Most respondents did not feel that purchasing or consuming GM foods conflicted with their beliefs or would affect their food choices. This study recommends that the government should actively educate the public on the ecological and health benefits of GM foods and address any safety concerns. Furthermore, the government should implement strict border controls and food labeling for GM products to safeguard consumer rights arising from the preference for the consumption of organic foods. Additionally, sufficient technical and financial assistance should be provided to farmers who subscribe to the organic seeds program for bolstering national food security.
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Zhao, Rongkun, Yuechen Li, Jin Chen, Mingguo Ma, Lei Fan, and Wei Lu. "Mapping a Paddy Rice Area in a Cloudy and Rainy Region Using Spatiotemporal Data Fusion and a Phenology-Based Algorithm." Remote Sensing 13, no. 21 (2021): 4400. http://dx.doi.org/10.3390/rs13214400.
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The timely and accurate mapping of paddy rice is important to ensure food security and to protect the environment for sustainable development. Existing paddy rice mapping methods are often remote sensing technologies based on optical images. However, the availability of high-quality remotely sensed paddy rice growing area data is limited due to frequent cloud cover and rain over the southwest China. In order to overcome these limitations, we propose a paddy rice field mapping method by combining a spatiotemporal fusion algorithm and a phenology-based algorithm. First, a modified neighborhood similar pixel interpolator (MNSPI) time series approach was used to remove clouds on Sentinel-2 and Landsat 8 OLI images in 2020. A flexible spatiotemporal data fusion (FSDAF) model was used to fuse Sentinel-2 data and MODIS data to obtain multi-temporal Sentinel-2 images. Then, the fused remote sensing data were used to construct fusion time series data to produce time series vegetation indices (NDVI\LSWI) having a high spatiotemporal resolution (10 m and ≤16 days). On this basis, the unique physical characteristics of paddy rice during the transplanting period and other auxiliary data were combined to map paddy rice in Yongchuan District, Chongqing, China. Our results were validated by field survey data and showed a high accuracy of the proposed method indicated by an overall accuracy of 93% and the Kappa coefficient of 0.85. The paddy rice planting area map was also consistent with the official data of the third national land survey; at the town level, the correlation between official survey data and paddy rice area was 92.5%. The results show that this method can effectively map paddy rice fields in a cloudy and rainy area.
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"Dakshayani Indices on Carbon and Boron Nitride Nanotubes." Letters in Applied NanoBioScience 9, no. 4 (2020): 1680–86. http://dx.doi.org/10.33263/lianbs94.16801686.
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Chemical graph theory is a discipline of graph theory deals with the study of chemical compounds using simple connected graphs. In computational chemistry, the properties of chemical compounds are determined using a numerical value called the topological index. Topological indices are widely applicable in QSAR and QSPR modeling. In this proposed work, we have used topological index like Neighborhood Dakshayani index on nanostructures called Carbon nanotube and Boron nitride nanotubes. Carbon nanotube has its various applications in air and water filtration, field emission, and biomedical applications. Boron nitride nanotubes are used in aerospace to automotive and defense to biomedical.
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"SOME MULTIPLICATIVE NEIGHBORHOOD TOPOLOGICAL INDICES OF NANOCONES AND DENDRIMERS." October-2020 9, no. 10 (2020): 119–32. http://dx.doi.org/10.29121/ijesrt.v9.i10.2020.12.
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A topological index is a numerical parameter mathematically derived from the graph structure. In this paper, we introduce the modified multiplicative first and second neighborhood indices, multiplicative F-neighborhood index, general multiplicative neighborhood index, multiplicative inverse sum indeg neighborhood index, multiplicative harmonic neighborhood index and multiplicative symmetric division neighborhood index, first and second multiplicative Gourava neighborhood indices of a graph. We compute these newly defined multiplicative neighborhood indices for nanocones and dendrimers.
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Irfan, Muhammad, Farhana Yasmeen, Shanza Aziz, and Muzammil Mukhtar. "Neighborhood Degree Based Topological Indices of Nanotube via Direct and NM‐Polynomial." International Journal of Quantum Chemistry 124, no. 17 (2024). http://dx.doi.org/10.1002/qua.27474.
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ABSTRACTThe analysis of various chemical structures can be done by using topological indices (TI), graph polynomials, and other useful tools that graph theory offers. The mathematical entries called TI are subtracted from the chemical structure. In this article, we investigate the neighborhood degree based topological indices of nanotube via direct and NM‐polynomial. The indices which we have computed are first, second, third, fourth, fifth NDe indices, third version of Zagreb index, neighborhood second Zagreb index, neighborhood second modified Zagreb index, neighborhood forgotten topological index, neighborhood general Randic index, neighborhood inverse sum index, fourth atom bond connectivity index, fifth geometric arithmetic index, fifth arithmetic geometric index, fifth hyper first and second Zagreb index.
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Kulli, V. R. "Neighborhood Kepler Banhatti and Modified Neighborhood Kepler Banhatti Indices of Certain Dendrimers." International Journal of Mathematics And Computer Research 13, no. 03 (2025). https://doi.org/10.47191/ijmcr/v13i3.11.
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In this paper, we introduce the neighborhood Kepler Banhatti index, modified neighborhood Kepler Banhatti index and their corresponding exponentials of a graph. Also we compute these neighborhood Kepler Banhatti indices of certain dendrimers. Furthermore, we establish some properties of newly defined the neighborhood Kepler Banhatti index.
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"Computing some Novel Closed Neighborhood Degree-Based Topological Indices of Graphene Structures." Biointerface Research in Applied Chemistry 13, no. 1 (2022): 92. http://dx.doi.org/10.33263/briac131.092.
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Chemical graph theory (CGT) is a crucial part of mathematical chemistry, which characterizes the chemical compounds as molecular graphs using graph-theoretical tools. By IUPAC terminology, a numerical parameter that represents the topology of a molecular graph is known as a topological index (TI). In this scenario, our research interest is to employ newly defined seven TIs, namely closed neighborhood first Zagreb index (CM1(G)), modified closed neighborhood first Zagreb index (CM1*(G)), closed neighborhood second Zagreb index (CM2(G)), closed neighborhood Forgotten index (CF(G)), modified closed neighborhood Forgotten index (CF*(G)), closed neighborhood first hyper Zagreb index (CHM1(G)) and closed neighborhood second hyper Zagreb index (CHM2(G)) as well as explore them mathematically. Without applying quantum mechanics, these TIs could obtain the maximum information behind the graphene structures.
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"Modified Reduced Neighborhood Topological Indices of Cycloalkanes, Clycloalkenes, and Cycloalkynes." Biointerface Research in Applied Chemistry 12, no. 4 (2021): 5363–74. http://dx.doi.org/10.33263/briac124.53635374.
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In this paper, some newly introduced topological indices, namely, modified reduced neighborhood first Zagreb index (〖RNM〗_1^* (G)) and modified forgotten reduced neighborhood index (〖RNM〗_3^* (G)) of a graph, G are used to establish the general formula for the molecular graphs of cycloalkanes, cycloalkenes, and cycloalkynes. We also calculate the exact values of some special types of these molecular graphs by attaching the alkyls instead of hydrogen atoms. Also, the QSPR analysis for these newly introduced indices is studied, and we exhibit a good correlation with characteristics on these molecular graphs.
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"Neighborhood-Based Descriptors for Porphyrin Dendrimers." Biointerface Research in Applied Chemistry 12, no. 5 (2021): 6297–307. http://dx.doi.org/10.33263/briac125.62976307.
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The symmetry of molecular structures is captured by topological indices, which provide a mathematical vocabulary for predicting features such as boiling temperatures, viscosity, and gyration radius and are also employed in QSPR/QSAR research. Dendrimers are a brand-new type of polymer. It is characterized as a macromolecule due to its highly radiated structure, providing great water solubility and adaptability. Because of these features, dendrimers are a strong alternative for medication delivery. This article investigates some topological indices based on neighborhood degrees such as Modified Randic index, Inverse Sum Index, SK, SK1, and SK2 index for some dendrimers.
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Akosile, Christopher Olusanjo, Nnaemeka Pascal Ngwu, Uchenna Prosper Okonkwo, Ifeoma Uchenna Onwuakagba, and Emmanuel Chiebuka Okoye. "Neighborhood safety, fall indices, physical activity level and social participation restrictions from a population of community-dwelling older adults in Nsukka, Enugu State, Nigeria." BMC Geriatrics 23, no. 1 (2023). http://dx.doi.org/10.1186/s12877-023-04059-x.
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Abstract Background Restriction in physical activity (PA) and social participation restriction (PR) can be heightened in the presence of fear of fall (FOF), fall experience, and perceived unsafe neighborhood, particularly among older adults. Despite the enormous benefits of social participation and physical activity, many older adults remain vulnerable to participation restriction and this probably accounts for a significant proportion of health challenges for older adults. Objective This study investigated the relationship between neighborhood safety (NS), fall indices, physical activity, and social participation restriction among older adults from selected communities in Nsukka, Enugu state, Nigeria. Methods This was a cross-sectional survey of 170 recruited via consecutive non-probability sampling techniques. Socio-demographic variables, co-morbidities, and fall prevalence were obtained using a self-administered questionnaire. The study instruments include the PA neighborhood environment scale – Nigeria (PANES-N), PA scale for elderly (PASE), Participation scale (PS), Modified fall efficacy scale (MFES), and Fall risk assessment tool (FRAT) and fall indices. Statistical analysis Descriptive statistics of mean and standard deviations, frequency counts, and percentages were used to analyze the socio-demographic variables, and Inferential statistics of Spearman rank order correlation were used to determine the relationship among the neighborhood safety, fall indices, physical activity level, and participation restrictions. Results PR has a negative relationship with NS (r = -0.19, p- 0.01), and fall efficacy (r = -0.52, p- 0.001). However, PR has a positive relationship with fall risk (r = 0.36, p = 0.001). Conclusion Participation restriction is negatively correlated with neighborhood safety, fall efficacy, and PA. The PR has a positive relationship with fall risk (FR).
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Wing, Sam E., Marta M. Jankowska, Xiaoke Zou, et al. "Neighborhood disadvantage is associated with KRAS-mutated non-small cell lung cancer risk." Journal of Cancer Research and Clinical Oncology, November 16, 2022. http://dx.doi.org/10.1007/s00432-022-04455-7.
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Abstract Purpose It remains unclear why individuals living in disadvantaged neighborhoods have shorter non-small cell lung cancer (NSCLC) survival. It is possible that living in these deprived areas is linked with increased risk of developing aggressive NSCLC biology. Here, we explored the association of somatic KRAS mutations, which are associated with shorter survival in NSCLC patients, and 11 definitions of neighborhood disadvantage spanning socioeconomic and structural environmental elements. Methods We analyzed data from 429 NSCLC patients treated at a Comprehensive Cancer Center from 2015 to 2018. Data were abstracted from medical records and each patient’s home address was used to assign publicly available indices of neighborhood disadvantage. Prevalence Ratios (PRs) for the presence of somatic KRAS mutations were estimated using modified Poisson regression models adjusted for age, sex, smoking status, race/ethnicity, educational attainment, cancer stage, and histology. Results In the NSCLC cohort, 29% had KRAS mutation-positive tumors. We found that five deprivation indices of socioeconomic disadvantage were associated with KRAS mutation. A one decile increase in several of these socioeconomic disadvantage indices was associated with a 1.06 to 1.14 increased risk of KRAS mutation. Measures of built structural environment were not associated with KRAS mutation status. Conclusion Socioeconomic disadvantage at the neighborhood level is associated with higher risk of KRAS mutation while disadvantage related to built environmental structural measures was inversely associated. Our results indicate not only that neighborhood disadvantage may contribute to aggressive NSCLC biology, but the pathways linking biology to disadvantage are likely operating through socioeconomic-related stress.
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"Neighbourhood Degree – Based Topological Indices of Graphene Structure." Biointerface Research in Applied Chemistry 11, no. 5 (2021): 13681–94. http://dx.doi.org/10.33263/briac115.1368113694.
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The theory of chemical reaction networks is a branch of mathematics that aims to mimic real-world behavior. This research area has drawn many researchers' attention, primarily due to its biological and empirical chemistry applications. The fascinating problems that emerge from the mathematical structures involved have kindled the interest of pure mathematicians. In this paper, we estimate a few topological indices such as SK index, SK1 index, SK2 index, Modified Randić index, and Inverse Sum Index for the Graphene structure based on the neighborhood degree and obtain results based on both sum and products of the cardinality of edge partitions corresponding to 4 different Graphene structures. We also present the 3D representations of the indices using MATLAB.
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Rajagopalan, Vidya, Eustace Hsu, and Shan Luo. "Breastfeeding duration and brain-body development in 9–10-year-olds: modulating effect of socioeconomic levels." Pediatric Research, June 15, 2024. http://dx.doi.org/10.1038/s41390-024-03330-0.
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Abstract Objective To investigate relationships of breastfeeding duration with brain structure and adiposity markers in youth and how these relationships are modified by neighborhood socioeconomic environments (SEEs). Methods This was a cross-sectional study of youth enrolled in the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 7511). Mixed effects models examined associations of breastfeeding duration with global brain measures and adiposity markers, adjusting for sociodemographic, pre- and post-natal covariates. Stratified analysis was performed by area deprivation index (ADI) tertiles. Results Total cortical surface area (SA) (False Discovery Rate - FDR corrected P < 0.001), cortical (FDR corrected P < 0.001) and subcortical gray matter (GM) volume (FDR corrected P < 0.001) increased with increased breastfeeding duration. Body mass index (BMI) z-scores (FDR corrected P = 0.001), waist circumference (FDR corrected P = 0.002) and waist-to-height ratio (WHtR) (FDR corrected P = 0.001) decreased with increased breastfeeding duration. Breastfeeding duration was inversely associated with adiposity in youth from high- and medium- ADI neighborhoods, but positively associated with SA across ADI tertiles. Conclusions In this cross-sectional study, longer breastfeeding duration was associated with lower adiposity indices, particularly in youth from lower SEEs and greater SA across SEE levels. Longer breastfeeding duration showed long-term associations with brain and body development for offspring. Impact Building on previous findings that longer breastfeeding duration is associated with healthier weight gain, lower obesity risk, and brain white matter development in infancy, our results find longer breastfeeding duration to be associated with lower adiposity indices and greater cortical and subcortical gray matter volume, and cortical surface area during peri-adolescence. Children from lower socioeconomic environments (SEEs) demonstrated stronger negative associations of breastfeeding duration and adiposity indices, and children across SEEs showed positive relationships between breastfeeding duration and cortical surface area. Promoting breastfeeding, particularly among women from lower SEEs would confer long-term benefits to offspring.
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Pal, Suman, and Debabrata Das. "Axisymmetric bending vibration analysis of bidirectional functionally graded rotating micro-disk under thermo-mechanical loading." Journal of Vibration and Control, December 16, 2022, 107754632211434. http://dx.doi.org/10.1177/10775463221143458.
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The free vibration behavior of a bidirectional functionally graded rotating micro-disk that is subjected to uniform transverse pressure and high-temperature thermal loading has been studied. The micro-disk is functionally graded along the radial and thickness directions. The problem is mathematically formulated using two distinct but interrelated steps within the framework of Kirchhoff plate theory and modified couple stress theory. The first step determines the time-invariant deformed configuration of the micro-disk under centrifugal, pressure, and thermal loading using minimum potential energy principle. The second step determines the free vibration behavior of the micro-disk in the neighborhood of the deformed configuration using Hamilton’s principle. The solutions of the governing equations for both these steps are obtained using the Ritz method. The mathematical model is successfully validated with various reduced problems. The numerical results for the first four axisymmetric bending vibration modes are presented to investigate the effects of wide range of parameters such as rotational speed, applied pressure, thermal loading, size-dependent thickness, volume fraction indices, and radius ratio. The mode shapes of vibration are illustrated through surface and contour plots.
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Gabriela Villoslada, Thiarly Feitosa Afonso de Lavôr, José Luis Vital de Brito, and João da Costa Pantoja. "Determination of the Drag Force Disturbance Index for Analysis of the Neighborhood Effect in Tall Buildings Subject to Wind." Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE), December 2, 2024. https://doi.org/10.55592/cilamce.v6i06.10288.
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The presence of obstacles around a building can interfere with wind flow, modifying the pressures on the facades and, consequently, the resulting forces and moments. These interferences can generate protective effects or increase pressure coefficients. Therefore, it is important to study wind behavior in buildings in the presence of neighbors to better understand these effects and ensure the safety of structures. Most physical phenomena cannot be predicted with complete certainty and repeated measurements of these phenomena generate random results, with some of these results being more frequent than others. Reliability analyzes are commonly used to examine the behavior of structures subjected to such phenomena, and one of these analyzes is considering the beta reliability index, which has several representations and in this case, the determination of beta is proposed, not being considered a criterion of failure, but rather as a change in the state of the drag force. In this sense, the present work presents the determination, through reliability, of the drag force disturbance index, that is, how much the drag force is being modified depending on the presence of the neighbor, in order to evaluate the behavior of the effects of the wind from the CAARC (Commonwealth Advisory Aeronautical Research Council) standard tall building model, using experimental data generated in a wind tunnel. The standard tall building model was studied in different positions, subjected to variable drag force actions, in isolation and with the existence of different neighborhoods. Probabilistic concepts and graphs of results are presented and discussed in relation to the directions adopted by CAARC for beta variation indices. With the results found, it was observed that the existence of a neighborhood affects the average values of the data, as well as the aforementioned index, both for increase and reduction compared to the isolated building, depending on the situation. Therefore, this study presents interpretations that can help predict the behavior of tall buildings subjected to wind loads in the presence of neighborhoods.