Статті в журналах: "Non-conventional models"

1

Attena, F. "Causal models in conventional and non-conventional medicines." Medical Hypotheses 53, no. 3 (September 1999): 177–83. http://dx.doi.org/10.1054/mehy.1998.0739.

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Alber, Hans-Dieter, Carsten Broese, Charalampos Tsakmakis, and Dimitri Beskos. "Non-Conventional Thermodynamics and Models of Gradient Elasticity." Entropy 20, no. 3 (March 8, 2018): 179. http://dx.doi.org/10.3390/e20030179.

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3

Vaiani, Lorenzo, Antonio Emmanuele Uva, and Antonio Boccaccio. "Lattice Models: Non-Conventional simulation methods for mechanobiology." Journal of Biomechanics 181 (March 2025): 112555. https://doi.org/10.1016/j.jbiomech.2025.112555.

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4

Silva, C. M., and L. M. S. S. Castro. "Continuum damage models with non-conventional finite element formulations." International Journal of Non-Linear Mechanics 45, no. 2 (March 2010): 83–99. http://dx.doi.org/10.1016/j.ijnonlinmec.2009.09.005.

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5

Bagheri, Hamidreza, Sattar Ghader, and Negin Hatami. "Solubility of Ibuprofen in Conventional Solvents and Supercritical CO2: Evaluation of Ideal and Non-Ideal Models." Chemistry & Chemical Technology 13, no. 1 (March 5, 2019): 1–10. http://dx.doi.org/10.23939/chcht13.01.001.

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6

Hayes, Linda J., and Diana Delgado. "Invited Commentary on Animal Models in Psychiatry: Animal Models of Non-conventional Human Behavior." Behavior Genetics 37, no. 1 (December 16, 2006): 11–17. http://dx.doi.org/10.1007/s10519-006-9126-z.

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7

Atangana, Abdon, and Sonal Jain. "Models of fluid flowing in non-conventional media: New numerical analysis." Discrete & Continuous Dynamical Systems - S 13, no. 3 (2020): 467–84. http://dx.doi.org/10.3934/dcdss.2020026.

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8

Broglia, R. A., G. Tiana, and D. Provasi. "Simple models of protein folding and of non-conventional drug design." Journal of Physics: Condensed Matter 16, no. 6 (January 30, 2004): R111—R144. http://dx.doi.org/10.1088/0953-8984/16/6/r02.

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9

Wanas, M. I. "Non-Conventional Origin of Large-Scale Magnetic Fields." Symposium - International Astronomical Union 140 (1990): 518. http://dx.doi.org/10.1017/s0074180900191041.

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One of the models constructed (Wanas, 1985) within the framework of the generalized field theory (Mikhail and Wanas, 1977) is found to give results in favour of Blackett's speculation concerning rotation and the origin of magnetic fields. The formula giving the surface polar magnetic field of a spherical body of mass M, radius R, and uniform rotational velocity w is given by (Mikhail and Wanas, 1989) In case of a typical galaxy, the model gives a magnetic field of the order of 10-5 Gauss.

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10

Kovalenko, Timofey V., and Elena G. Sarkisova. "Theoretical Aspects of the Museum’s Communication Strategy: Conventional and Non-Conventional Communication Channels." Izvestia Ural Federal University Journal Series 1. Issues in Education, Science and Culture 28, no. 2 (2022): 110–20. http://dx.doi.org/10.15826/izv1.2022.28.2.031.

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Perspective aspects of the development of the domestic theory of museum communication are considered. The object of the research is the interdisciplinary discourse of the general field of communication theories. The subject of the research is the theoretical models applicable for structuring museum communication channels. The authors substantiate the need to focus the communication strategy of a modern museum not only on conventional communication channels, but also on long-term prospects for nonconventional connections. The presented typology of conventional and non-conventional channels in the structure of museum communication makes it possible to determine the basic components of the communication process along two main channels: “Society → Museum → Society”; “Museum → Society → Museum”. The communication strategies of a modern museum, considering the potential of both channels, will be more efficient and will enhance the value of storage objects at the lowest cost.

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11

Srinivasaiah, Rashmi, Devappa Renuka Swamy, Aswin S. Krishna, Chandrashekar Vinayak Airsang, Dinesh C. Reddy, and Jayanth S. Shekar. "Various Models Used in Analysing Municipal Solid Waste Generation–A Review." Journal of Solid Waste Technology and Management 47, no. 3 (August 1, 2021): 569–78. http://dx.doi.org/10.5276/jswtm/2021.569.

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At present, factors such as growth in population, economic development, urbanization and improved standard of living increase the quantity and complexity of generated Municipal Solid Waste. The different approaches for developing models for forecasting municipal solid waste generation have been classified into conventional and non-conventional or artificial intelligence models. While the conventional models include sample survey, system dynamics, econometric models, time series analysis, factor driven models and multiple linear regression models, the non-conventional models include artificial neural networks, Fuzzy logic models and Adaptive Neuro Fuzzy Inference System models. In this review, various factors considered for modelling, locations of study, sources of data and various studies conducted by researchers have been tabulated in detail for identifying the major factors and models used in developed and developing countries. Non-conventional models are being preferred because of their capacity to analyse dynamic data and for their prediction accuracy.

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12

Piotrowska, M. "Study of Some (Non-)Conventional Mesons in the Framework of Effective Models." Acta Physica Polonica B Proceedings Supplement 14, no. 1 (2021): 163. http://dx.doi.org/10.5506/aphyspolbsupp.14.163.

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13

Ellis, John R., Nikolaos E. Mavromatos, Vasiliki A. Mitsou, and Dimitri V. Nanopoulos. "Confronting dark energy models with astrophysical data: Non-equilibrium vs. conventional cosmologies." Astroparticle Physics 27, no. 2-3 (March 2007): 185–98. http://dx.doi.org/10.1016/j.astropartphys.2006.10.007.

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14

Bauer, Daniel J. "Estimating Multilevel Linear Models as Structural Equation Models." Journal of Educational and Behavioral Statistics 28, no. 2 (June 2003): 135–67. http://dx.doi.org/10.3102/10769986028002135.

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Multilevel linear models (MLMs) provide a powerful framework for analyzing data collected at nested or non-nested levels, such as students within classrooms. The current article draws on recent analytical and software advances to demonstrate that a broad class of MLMs may be estimated as structural equation models (SEMs). Moreover, within the SEM approach it is possible to include measurement models for predictors or outcomes, and to estimate the mediational pathways among predictors explicitly, tasks which are currently difficult with the conventional approach to multilevel modeling. The equivalency of the SEM approach with conventional methods for estimating MLMs is illustrated using empirical examples, including an example involving both multiple indicator latent factors for the outcomes and a causal chain for the predictors. The limitations of this approach for estimating MLMs are discussed and alternative approaches are considered.

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15

Han, Y. Z., J. S. Liu, and C. S. Liu. "The topological counterparts of non-Hermitian SSH models." New Journal of Physics 23, no. 12 (December 1, 2021): 123029. http://dx.doi.org/10.1088/1367-2630/ac3e9f.

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Abstract Inspired by the relevance between the asymmetric coupling amplitude and the imaginary gauge field, we construct the counterpart of the non-Hermitian SSH model. The idea is the nonzero imaginary magnetic flux vanishing when the boundary condition changes from periodic to open. The zero imaginary magnetic flux of the counterpart leads to the eliminating of the non-Hermitian skin effect and the non-Hermitian Aharonov–Bohm effect which ensures the recovery of the conventional bulk-boundary correspondence from the non-Bloch bulk-boundary correspondence. We explain how some the non-Hermitian models can be transformed to the non-Hermitian SSH models and how the non-reciprocal hopping in the non-Hermitian SSH models can be transformed from one term to the other terms by the similarity transformations. We elaborate why the effective imaginary magnetic flux disappears due to the interplay of the non-reciprocal hoppings in the partner of the non-Hermitian SSH model. As the results, we obtain the topological invariants of the non-Hermitian SSH model in analytical form defined in conventional Brillouin zone. The non-Hermitian SSH model in domain configuration on a chain is discussed with this method. The technique gives an alternative way to study the topological properties of non-Hermitian systems.

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16

Konstantopoulos, Takis, Stan Zachary, and Serguei Foss. "Introduction Non-conventional Queueing Models: Heavy Tails, Long-Range Dependence, and Rare Events." Queueing Systems 46, no. 1/2 (January 2004): 5–7. http://dx.doi.org/10.1023/b:ques.0000021191.01396.c1.

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17

Yamakawa, Celina K., Laura Kastell, Mikkel R. Mahler, José L. Martinez, and Solange I. Mussatto. "Exploiting new biorefinery models using non-conventional yeasts and their implications for sustainability." Bioresource Technology 309 (August 2020): 123374. http://dx.doi.org/10.1016/j.biortech.2020.123374.

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18

Cismaşiu, Ildi, and J. P. Moitinho de Almeida. "Data structures for the distributed iterative solution of non-conventional finite element models." Advances in Engineering Software 38, no. 11-12 (November 2007): 750–62. http://dx.doi.org/10.1016/j.advengsoft.2006.08.030.

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19

Piñones, Eduardo, Rubén Jacob-Dazarola, Marcela Soto, Jorge León, Christopher Nikulin, Cristopher Vrsalovic Rojas, and Teresita Marin. "Enhancing Creativity Through Material Choice in Architectural and Urban Design Model-Making." Buildings 15, no. 3 (January 28, 2025): 423. https://doi.org/10.3390/buildings15030423.

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This study investigates the impact of conventional versus non-conventional materials on creativity and perceived workload in architectural model-making. Motivated by the need to foster creativity in architectural education, the research hypothesized that unfamiliar materials could stimulate novel design solutions while potentially increasing cognitive and emotional demands. The study was conducted in two phases: defining conventional and non-conventional materials through a survey of architecture professionals and students and a controlled experiment where participants used these materials to create scale models. Creativity was evaluated using Shah’s novelty metric, and workload was measured using the NASA-TLX questionnaire. Results show that models made with non-conventional materials exhibited higher novelty, supporting the hypothesis that unfamiliar materials encourage creative exploration. Surprisingly, perceived workload was lower for non-conventional materials, suggesting that the open-ended nature of the task promoted engagement and alleviated cognitive strain. These findings highlight the potential of non-conventional materials to enhance creativity in architectural education while reducing workload stress, though variability in performance suggests the need for adaptive teaching strategies to support students. Future research should explore how materiality impacts creativity over time in more realistic settings. Additionally, other disciplines supported by physical models during the design process could benefit from similar studies.

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20

Sharma, Uma, and Mansi Jhamb. "Exploring supply voltage and temperature variation on XOR-XNOR cells with conventional/non-conventional techniques." Facta universitatis - series: Electronics and Energetics 37, no. 2 (2024): 301–16. http://dx.doi.org/10.2298/fuee2402301s.

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This paper delves into a comprehensive exploration of conventional and unconventional design approaches applied in XOR-XNOR cells. These cells play a crucial role in various arithmetic logic circuits with substantial computational capacity within VLSI designs operating at low voltage and power levels. The paper investigates the difficulties linked with both conventional and non-conventional design strategies. Furthermore, it performs a relative evaluation of different XOR/XNOR cells documented in current literature concerning circuit design parameters. The results of this investigation indicate that the adoption of carbon nanotube field-effect transistor (CNTFET) technology in lower technology nodes significantly decrease circuit delay, while floating gate metal-oxide semiconductor (FGMOS) technology displays superior interpretation in terms of circuit power efficiency. The discussion also covers the utilization of FinFET technology in the creation of XOR/XNOR cells. This paper conducts an assessment of the voltage and temperature resilience of these XOR/XNOR cells. The analysis has been undertaken utilizing the HSPICE tool at 22nm technology node. The XOR/XNOR cell based on FGMOS demonstrates the highest resilience to voltage and temperature fluctuations. The major challenges encountered in the adoption of nonconventional technologies involve the lack of appropriate simulation models and the intricate fabrication processes. These challenges notably hinder the progress and adoption of these pioneering methodologies.

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Mensching, D. J., M. M. Jeong, and L. Myers McCarthy. "Relative Comparison of Complex Dynamic Modulus Predictive Models for Non-Conventional Asphalt Concrete Mixtures." Journal of Testing and Evaluation 46, no. 1 (October 17, 2017): 20160266. http://dx.doi.org/10.1520/jte20160266.

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22

Navarro, Ignacio. "Phenomenology of Low-Scale Supersymmetry Breaking Models." Modern Physics Letters A 18, no. 32 (October 20, 2003): 2227–41. http://dx.doi.org/10.1142/s0217732303011897.

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In this review we consider the distinctive phenomenology of supersymmetric models in which the scale of SUSY breaking is very low, [Formula: see text], focusing on the Higgs sector and the process of electroweak breaking. Using an effective Lagrangian description of the interactions between the observable fields and the SUSY breaking sector, it is shown how the conventional MSSM picture can be substantially modified. For instance, the Higgs potential has non-negligible SUSY breaking quartic couplings that can modify completely the pattern of electroweak breaking and the Higgs spectrum with respect to that of the conventional MSSM-like models.

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23

Hill, Andrea, Salwa Karboune, Tarun J. Narwani, and Alexandre G. de Brevern. "Investigating the Product Profiles and Structural Relationships of New Levansucrases with Conventional and Non-Conventional Substrates." International Journal of Molecular Sciences 21, no. 15 (July 29, 2020): 5402. http://dx.doi.org/10.3390/ijms21155402.

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The synthesis of complex oligosaccharides is desired for their potential as prebiotics, and their role in the pharmaceutical and food industry. Levansucrase (LS, EC 2.4.1.10), a fructosyl-transferase, can catalyze the synthesis of these compounds. LS acquires a fructosyl residue from a donor molecule and performs a non-Lenoir transfer to an acceptor molecule, via β-(2→6)-glycosidic linkages. Genome mining was used to uncover new LS enzymes with increased transfructosylating activity and wider acceptor promiscuity, with an initial screening revealing five LS enzymes. The product profiles and activities of these enzymes were examined after their incubation with sucrose. Alternate acceptor molecules were also incubated with the enzymes to study their consumption. LSs from Gluconobacter oxydans and Novosphingobium aromaticivorans synthesized fructooligosaccharides (FOSs) with up to 13 units in length. Alignment of their amino acid sequences and substrate docking with homology models identified structural elements causing differences in their product spectra. Raffinose, over sucrose, was the preferred donor molecule for the LS from Vibrio natriegens, N. aromaticivorans, and Paraburkolderia graminis. The LSs examined were found to have wide acceptor promiscuity, utilizing monosaccharides, disaccharides, and two alcohols to a high degree.

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24

Novitsky, Nikolay, and Egor Mikhailovsky. "Generalization of Methods for Calculating Steady-State Flow Distribution in Pipeline Networks for Non-Conventional Flow Models." Mathematics 9, no. 8 (April 7, 2021): 796. http://dx.doi.org/10.3390/math9080796.

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This paper proposes generalized models and methods for calculating flow distribution in hydraulic circuits with lumped parameters. The main models of the isothermal steady-state flow of medium are classified by an element of the hydraulic circuit. These models include conventional, implicitly specified by flow rate, and pressure-dependent ones. The conditions for their applicability, which ensure the existence and uniqueness of a solution to the flow distribution problem, are considered. We propose generalized nodal pressure and loop flow rate methods, which can be applied regardless of the forms of specific element models. Final algorithms, which require lower computational costs versus the known approaches designed for non-conventional flow models, are substantiated. Proposed models, methods, algorithms, and their capabilities, are analytically and numerically illustrated by an example of a fragment of gas transmission network with compressor stations.

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Hayat, Qaisar, Junping Geng, Xianling Liang, Ronghong Jin, Sami Ur Rehman, Chong He, Haobo Wu, and Hamza Nawaz. "Core-Shell Nano-Antenna Configurations for Array Formation with More Stability Having Conventional and Non-Conventional Directivity and Propagation Behavior." Nanomaterials 11, no. 1 (January 4, 2021): 99. http://dx.doi.org/10.3390/nano11010099.

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The enhancement of optical characteristics at optical frequencies deviates with the choice of the arrangement of core-shell nanoparticles and their environment. Likewise, the arrangements of core-shell nanoparticles in the air over a substrate or in liquid solution makes them unstable in the atmosphere. This article suggests designing a configuration of an active spherical coated nanoparticle antenna and its extended array in the presence of a passive dielectric, which is proposed to be extendable to construct larger arrays. The issue of instability in the core-shell nanoantenna array models is solved here by inserting the passive dielectric. In addition to this, the inclusion of a dielectric in the array model reports a different directivity behaviour than the conventional array models. We found at first that the combination model of the active coated nanoparticle and passive sphere at the resonant frequency can excite a stronger field with a rotated polarization direction and a propagation direction different from the incident plane-wave. Furthermore, the extended 2D array also rotates the polarization direction and propagation direction for the vertical incident plane-wave. The radiation beam operates strong multipoles in the 2D array plane at resonant frequency (behaving non-conventionally). Nevertheless, it forms a clear main beam in the incident direction when it deviates from the resonance frequency (behaving conventionally). The proposed array model may have possible applications in nano-amplifiers, nano-sensors and other integrated optics.

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26

Hoppe, George, June O'Neil, Lawrence M. Sayre, and Henry F. Hoff. "Non-conventional modification of low density lipoproteins: chemical models for macrophage recognition of oxidized LDL." Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 1362, no. 2-3 (December 1997): 103–8. http://dx.doi.org/10.1016/s0925-4439(97)00091-4.

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PANOSKALTSIS, VASSILIS P., and DIMITRIS SOLDATOS. "A PHENOMENOLOGICAL CONSTITUTIVE MODEL OF NON-CONVENTIONAL ELASTIC RESPONSE." International Journal of Applied Mechanics 05, no. 04 (December 2013): 1350036. http://dx.doi.org/10.1142/s1758825113500361.

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In this paper, a general model of elastic (non-dissipative) behavior is developed. This model belongs to a class of models, developed for the description of complex bodies, in which the local state is assumed to be determined not only by the deformation, but also by a family of additional material parameters. The latter, unlike some additional structures used in the mechanics of complex bodies (e.g., directors, order parameters, internal degrees of freedom), are not considered as interactions of microscopic nature; rather they are considered as variables of macroscopic nature that describe the internal structure of the material, while their rates describe the evolution of the internal structure in the course of deformation. Accordingly, these variables are assumed to evolve continuously with time in a manner that guaranties the reversibility of the applied dynamical process. A covariant theory for the continuum in question is derived by means of invariance properties of the global form of the spatial energy balance equation, under the superposition of arbitrary spatial diffeomorphisms. In particular, it is shown that the assumption of spatial covariance of the equation of balance of energy yields the standard conservation and balance laws of classical mechanics but it does not yield the standard Doyle–Ericksen formula. In fact, the "Doyle–Ericksen formula" derived in this work, has some extra terms in it, which are related directly to the internal structure of the material, as the latter is controlled by the additional parameters. In a similar manner, by assuming the absolute temperature as an additional state variable and by employing the invariance properties of the local form of the spatial balance of energy under superimposed spatial diffeomorphisms, which also include a temperature rescaling, a nonisothermal covariant constitutive theory is naturally obtained. A formal comparison of the proposed elastic material with the standard hyperelastic (Green elastic) solid is also presented.

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28

Tomaszkiewicz, Marlene, Majdi Abou Najm, Daniel Beysens, Ibrahim Alameddine, and Mutasem El-Fadel. "Dew as a sustainable non-conventional water resource: a critical review." Environmental Reviews 23, no. 4 (December 2015): 425–42. http://dx.doi.org/10.1139/er-2015-0035.

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Over the last 20 years, dew harvesting has evolved to fruition because of a better understanding of its physics, thermodynamics, and the radiative cooling process of condensing substrates. Although resultant yields are relatively small, dew positions itself as a viable water resources supplement because it occurs naturally and frequently in many locations globally, particularly in the absence of precipitation or when more traditional water sources are subject to depletion. Moreover, dew water is generally potable, especially in rural locations, where it is most beneficial. This review summarizes dew harvesting research achievements to date including formation processes, collection in various environments, prediction models, water quality, and applications. The paper concludes with outlining existing gaps and future research needs to improve the understanding and performance of dew harvesting in the context of adaptation to climate change.

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29

Mangavu, Ganesh, Karthikeyan R, Venkitachalam P, Guruguhan G, S. Shrinithi, Kannan S, and Anjan Kumar Dash. "The Influence of Non-planar (Spatial) Links in the Static Characteristics Behavior of Planar Parallel Manipulator." IAES International Journal of Robotics and Automation (IJRA) 6, no. 3 (September 1, 2017): 151. http://dx.doi.org/10.11591/ijra.v6i3.pp151-167.

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<span>Conventional planar manipulators have all their links in a single plane. Increasing payload at the end-effecter/mobile platform can induce high stress in the links due to cantilever nature of links. Thus it limits the total vertical load that can be applied on the mobile platform. In contrast to the links in conventional planar parallel mechanisms, non-planar links are proposed in this paper, i.e., links are made inclined to the horizontal plane and non planar legs are constructed. Although the links are made non-planar, the rotary (or prismatic) joints axes remain perpendicular (or parallel) to the plane of the base platform, which retains the planar motion of the end-effecter. For studying the application of such non planar links in planar manipulators, new models of inertia, stiffness and leg dynamics have to be developed. In this article, these models are developed and with the developed models, the static analysis is done on the planar manipulators with non-planar links and the performance is compared with the corresponding conventional planar manipulators.</span>

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Guo, Hongcong, Yingna Sun, Tienan Li, Yun Teng, He Dong, Hui Li, and Gengwei Liu. "The Analysis of Present and Future Use of Non-Conventional Water Resources in Heilongjiang Province, China." Sustainability 16, no. 9 (April 29, 2024): 3727. http://dx.doi.org/10.3390/su16093727.

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Analyzing the development trend of non-conventional water resources and identifying the main influencing factors is the initial step toward rapidly increasing the utilization and allocation of these resources in a rational and scientific manner. This will help relieve pressure on water resources and improve the ecological environment. This study introduces the concept of comparison testing and employs advanced Dematel and Random Forest models to identify two sets of optimal indicators from a pool of nine. Based on the two best indicator sets, three prediction models—BP neural network, Particle Swarm Optimization-optimized BP neural network, and Genetic neural network—were used to forecast the future potential of non-conventional water resource use in Heilongjiang Province. The findings reveal that economic indicators are the most significant factors influencing Heilongjiang Province’s utilization of non-conventional water resources. The findings of this study help us understand the extent of development in utilizing non-conventional water resources.

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Nurkholis, Nurkholis. "MENINGKATKAN HASIL BELAJAR PEMELIHARAAN MESIN KENDARAAN RINGAN MELALUI METODE EXAMPLES NON EXAMPLES PADA SISWA KELAS XII TKR 1 SMK MUHAMMADIYAH 1 PEKANBARU TAHUN AJARAN 2018." Jurnal Guru Kita PGSD 5, no. 3 (June 30, 2021): 16. http://dx.doi.org/10.24114/jgk.v5i3.25533.

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Abstract: Improving learning outcomes of light vehicle engine maintenance through the examples non-examples method for class XII students of TKR 1 SMK Mu-hammadiyah 1 Pekanbaru in the 2018 academic year. The specific objectives of this research can be detailed as follows: To determine student learning outcomes using conventional learning models. To find out student learning outcomes using the examples non examples learning model. To find out whether there are differences in student learning outcomes using examples non-examples learning models with conventional learning models.The formulation of the problem in this study is as follows: Are there differences in student learning outcomes using examples non-examples learning models with conventional learning models? Are student learning outcomes using the examples non-examples learning model better than student learning outcomes using conventional learning models? The subject of the research is Class XII TKR 1 SMK Muhammadiyah 1 Pekanbaru Senapelan District Pekanbaru Academic year 2018 as many as 31 students. Based on the research results, it can be seen that the value of student learning outcomes in light vehicle engine maintenance learning by using examples non examples learning models is greater than the value of student learning outcomes in light vehicle engine maintenance lessons that do not use examples non examples learning models. Keywords: Learning Machine Maintenance of Light Vehicles by using learning models Examples Non Examples Abstrak: Meningkatkan hasil belajar pemeliharaan mesin kendaraan ringan melalui metode examples non examples pada siswa kelas XII TKR 1 SMK Muhammadiyah 1 Pekanbaru tahun ajaran 2018.Tujuan khusus dilaksanakannya penelitian ini dapat dirinci sebagai berikut: Untuk mengetahui hasil belajar siswa yang menggunakan model pembelajaran konvensional. Untuk mengetahui hasil belajar siswa yang menggunakan model pembelajaran examples non examples. Untuk mengetahui apakah terdapat perbedaan hasil belajar siswa yang menggunakan model pembelajaran examples non examples dengan model pembelajaran konvensional.Rumusan masalah dalam penelitian ini sebagai berikut: Apakah terdapat perbedaan hasil belajar siswa yang menggunakan model pembelajaran examples non examples dengan model pembelajaran konvensional? Apakah hasil belajar siswa yang menggunakan model pembelajaran examples non examples lebih baik daripada hasil belajar siswa yang menggunakan model pembelajaran konvensional?Subjek penelitian adalah Kelas XII TKR 1 SMK Muhammadiyah 1 Pekanbaru Kecamatan Senapelan Pekanbaru Tahun ajaran 2018 sebanyak 31 anak didik.Berdasarkan hasil penelitian dapat diketahui bahwa nilai hasil belajar siswa pada pembelajaran Pemeliharaan Mesin Kendaraan Ringan dengan menggunakan model pembelajaran examples non examples lebih besar daripada nilai hasil belajar siswa pada pembelajaran Pemeliharaan Mesin Kendaraan Ringan yang tidak menggunakan model pembelajaran examples non examples.

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Safari, Mir Jafar Sadegh. "Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes." Water Science and Technology 79, no. 6 (March 15, 2019): 1113–22. http://dx.doi.org/10.2166/wst.2019.106.

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Abstract Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates the bed load sediment transport in sewer pipes with particular reference to the non-deposition condition in clean bed channels. Four data sets available in the literature covering wide ranges of pipe size, sediment size and sediment volumetric concentration have been utilized through applying decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) techniques for modeling. The developed models have been compared with conventional regression models available in the literature. The model performance indicators, showed that DT, GR and MARS models outperform conventional regression models. Result shows that GR and MARS models are comparable in terms of calculating particle Froude number and performing better than DT. It is concluded that conventional regression models generally overestimate particle Froude number for the non-deposition condition of sediment transport, while DT, GR and MARS outputs are close to their measured counterparts.

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33

Cimmino, Giovanni, Francesco Natale, Roberta Alfieri, Luigi Cante, Simona Covino, Rosa Franzese, Mirella Limatola, et al. "Non-Conventional Risk Factors: “Fact” or “Fake” in Cardiovascular Disease Prevention?" Biomedicines 11, no. 9 (August 23, 2023): 2353. http://dx.doi.org/10.3390/biomedicines11092353.

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Cardiovascular diseases (CVDs), such as arterial hypertension, myocardial infarction, stroke, heart failure, atrial fibrillation, etc., still represent the main cause of morbidity and mortality worldwide. They significantly modify the patients’ quality of life with a tremendous economic impact. It is well established that cardiovascular risk factors increase the probability of fatal and non-fatal cardiac events. These risk factors are classified into modifiable (smoking, arterial hypertension, hypercholesterolemia, low HDL cholesterol, diabetes, excessive alcohol consumption, high-fat and high-calorie diet, reduced physical activity) and non-modifiable (sex, age, family history, of previous cardiovascular disease). Hence, CVD prevention is based on early identification and management of modifiable risk factors whose impact on the CV outcome is now performed by the use of CV risk assessment models, such as the Framingham Risk Score, Pooled Cohort Equations, or the SCORE2. However, in recent years, emerging, non-traditional factors (metabolic and non-metabolic) seem to significantly affect this assessment. In this article, we aim at defining these emerging factors and describe the potential mechanisms by which they might contribute to the development of CVD.

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Aminuddin Jafry, Nurul Hanis, Ruzanna Ab Razak, and Noriszura Ismail. "Dependence Modelling using GARCH, EGARCH, and Copula Models:." Asia Proceedings of Social Sciences 2, no. 2 (December 3, 2018): 55–59. http://dx.doi.org/10.31580/apss.v2i2.317.

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Copula become a popular tool to measure the dependency between financial data due to its ability to capture the non-normal distributions. Hence, this paper will inspect the impact of input models towards the parameter estimation of marginal and copula models for KLCI and FBMHS returns series by considering the ARMA-GARCH model and the ARMA-EGARCH model. This study also investigates the dependency of Islamic-conventional pair for Malaysia indices by using static copula and time-varying copula approach. The closing prices of Malaysia indices represented by KLCI (conventional) index and FBMHS (Islamic) index for the period of 21 May 2007 until 28 September 2018 are used as a sample data. The results show that KLCI-FBMHS pair is strongly correlated, different input models (ARMA-GARCH and ARMA-EGARCH) have identical dependence structure but slightly different value of parameter estimated, and the time-varying Gaussian copula is chosen as the best dependence model. Finding suggest that the diversification between Islamic-conventional pair is worthwhile during stable period.

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Belda, Jordi, Luis Vergara, Gonzalo Safont, and Addisson Salazar. "Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing." Entropy 21, no. 1 (December 29, 2018): 22. http://dx.doi.org/10.3390/e21010022.

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Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian case, in particular to independent component analysis (ICA) models of the observed multivariate samples. Thus, the usual methods that define the pairwise connections of a graph from the precision matrix were correspondingly extended. The basic concept involved replacing the implicit linear estimation of conventional PCC with a nonlinear estimation (conditional mean) assuming ICA. Thus, it is better eliminated the correlation between a given pair of nodes induced by the rest of nodes, and hence the specific connectivity weights can be better estimated. Some synthetic and real data examples illustrate the approach in a graph signal processing context.

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36

Mills, J. A. N., E. Kebreab, L. A. Crompton, and J. France. "The Mitscherlich equation: an alternative to linear models of methane emissions from cattle." Proceedings of the British Society of Animal Science 2003 (2003): 135. http://dx.doi.org/10.1017/s1752756200012941.

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Previous attempts to apply statistical models, which correlate nutrient intake with methane production, have been of limited value where predictions are obtained for nutrient intakes and diet types outside those used in model construction. Dynamic mechanistic models have proved more suitable for extrapolation, but they remain computationally expensive and are not applied easily in practical situations. The first objective of this research focussed on employing conventional techniques to generate statistical models of methane production appropriate to UK dairy systems. The second objective was to evaluate these models and a model published previously using both UK and North American datasets. Thirdly, non-linear models were considered as alternatives to the conventional linear regressions. The UK calorimetry data used to construct the linear models were also used to develop the three non-linear alternatives that were all of modified Mitscherlich (monomolecular) form.

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37

Melo, Vinícius, Alexandre Melo, Walbermark Santos, Jussara Fardin, and Lucas Encarnação. "Open-Loop Single-Phase Space State Model and Equivalent Circuit of a Non-Conventional Three-Phase Inverter." Electronics 9, no. 5 (April 30, 2020): 744. http://dx.doi.org/10.3390/electronics9050744.

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Recently, many non-conventional three-phase inverters, topologies for green energy source grid-connection systems, and electric drives have been proposed. Simplifying the inverter circuit is crucial to analyze and solve their models in order to design them. The main goal of the study is centered on obtaining a single-phase equivalent circuit and space state model from non-conventional three-phase inverters based on bidirectional direct current–direct current (DC–DC) Buck-Boost topology using isolated gate bipolar transistors (IGBT). From just one phase of the three-phase inverter, the single-phase equivalent circuit was obtained by means of Kirchhoff’s laws. The equivalent circuit operation steps were presented in order to obtain the space state model. Finally, the equivalent circuit was simulated, and experimental results with a 200 W three-phase inverter feeding a resistive, inductive, and capacitive loads were performed to confirm the theoretical and simulation analyses. The results show the state space dynamic behavior variables of single-phase and three-phase models are quite similar. Therefore, it can be concluded that the proposed circuit can be used with property to represent equivalent single-phase models of non-conventional three-phase inverters.

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38

Zevallos, M. E., A. Ya Polischuck, B. B. Das, Feng Liu, and R. R. Alfano. "Time-resolved photon-scattering measurements from scattering media fitted to non-Euclidean and conventional diffusion models." Physical Review E 57, no. 6 (June 1, 1998): 7244–53. http://dx.doi.org/10.1103/physreve.57.7244.

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39

Yin, Peng, and Jian Q. Shi. "Simulation-based sensitivity analysis for non-ignorably missing data." Statistical Methods in Medical Research 28, no. 1 (July 26, 2017): 289–308. http://dx.doi.org/10.1177/0962280217722382.

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Sensitivity analysis is popular in dealing with missing data problems particularly for non-ignorable missingness, where full-likelihood method cannot be adopted. It analyses how sensitively the conclusions (output) may depend on assumptions or parameters (input) about missing data, i.e. missing data mechanism. We call models with the problem of uncertainty sensitivity models. To make conventional sensitivity analysis more useful in practice we need to define some simple and interpretable statistical quantities to assess the sensitivity models and make evidence based analysis. We propose a novel approach in this paper on attempting to investigate the possibility of each missing data mechanism model assumption, by comparing the simulated datasets from various MNAR models with the observed data non-parametrically, using the K-nearest-neighbour distances. Some asymptotic theory has also been provided. A key step of this method is to plug in a plausibility evaluation system towards each sensitivity parameter, to select plausible values and reject unlikely values, instead of considering all proposed values of sensitivity parameters as in the conventional sensitivity analysis method. The method is generic and has been applied successfully to several specific models in this paper including meta-analysis model with publication bias, analysis of incomplete longitudinal data and mean estimation with non-ignorable missing data.

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40

Khamseh, Hossein Bonyan, and M. Navabi. "Simple surrogate models to determine total accessibility duration of low Earth orbit sunsynchronous satellites." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 227, no. 1 (January 17, 2012): 45–60. http://dx.doi.org/10.1177/0954410011433118.

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Short and infrequent access events are inherent characteristics of low Earth orbit sunsynchronous satellites. Furthermore, for such satellites, distribution pattern of access events varies significantly in time. Thus, determination of the metric of total accessibility duration in a given time interval has been a challenge in the field of low Earth orbit satellite systems engineering. In this article, for zero and conventional non-zero minimum elevation angles, surrogate models were developed to determine total accessibility duration of low Earth orbit satellites, based on orbital altitude of the satellite and latitude of the ground segment. For this purpose, concept of repeatability cycle was employed to achieve total accessibility duration in a time-independent manner. Then, a perturbative propagation model was presented to determine pattern of accessibility events and quantify total accessibility duration metric. In order to account for non-zero minimum elevation angles, two distinct approaches were adopted. In the first approach, four modification factors were introduced to modify the surrogate model for zero elevation angle to account for conventional non-zero minimum elevation angles. In the second approach, a dedicated surrogate model was developed to directly determine total accessibility duration for conventional non-zero minimum elevation angles. Numerous examples are examined to verify fidelity of our two proposed approaches. Due to their simplicity, the surrogate models given in this article eliminate the need for professional staff to determine metric of total accessibility duration. The advantage is that considerable saving in required initial staff cost and schedule can be realized, especially in early mission design phases.

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Mladenovic, Milica, Stevan Nemoda, Mirko Komatina, and Dragoljub Dakic. "Numerical simulation of non-conventional liquid fuels feeding in a bubbling fluidized bed combustor." Thermal Science 17, no. 4 (2013): 1163–79. http://dx.doi.org/10.2298/tsci121116007m.

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The paper deals with the development of mathematical models for detailed simulation of lateral jet penetration into the fluidized bed (FB), primarily from the aspect of feeding of gaseous and liquid fuels into FB furnaces. For that purpose a series of comparisons has been performed between the results of in-house developed procedure- fluid-porous medium numerical simulation of gaseous jet penetration into the fluidized bed, Fluent?s two-fluid Euler-Euler FB simulation model, and experimental results (from the literature) of gaseous jet penetration into the 2D FB. The calculation results, using both models, and experimental data are in good agreement. The developed simulation procedures of jet penetration into the FB are applied to the analysis of the effects, which are registered during the experiments on a fluidized pilot furnace with feeding of liquid waste fuels into the bed, and brief description of the experiments is also presented in the paper. Registered effect suggests that the water in the fuel improved mixing of fuel and oxidizer in the FB furnace, by increasing jet penetration into the FB due to sudden evaporation of water at the entry into the furnace. In order to clarify this effect, numerical simulations of jet penetration into the FB with three-phase systems: gas (fuel, oxidizer, and water vapour), bed particles and water, have been carried out.

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42

Fraz, Tayyab Raza. "Forecasting the Stock Market Returns Using nonlinear hybrid GARCH-SETAR model." JISR management and social sciences & economics 22, no. 1 (March 31, 2024): 31–50. http://dx.doi.org/10.31384/jisrmsse/2024.22.1.2.

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Forecasting stock market returns is a valuable tool for investors seeking to enhance their gains in stock trading. Predicting stock prices proves to be a formidable endeavor due to its substantial volatility, non-linear characteristics trends, and responsiveness to multifaceted variables, including economic conditions, market trends, seasonality, and sentiment. Despite these complexities, non-linear methodologies like threshold time series and conditional heteroscedasticity models are underutilized. This study aims to assess the predictive capabilities of a hybrid GARCH-SETAR model in the context of stock market returns, encompassing both Islamic and conventional stocks listed on the Pakistan Stock Exchange. The Islamic and conventional stock markets in Pakistan represented by KMI-30, KSE-30 and KSE-100 selected contain daily data from January, 2012 till June, 2023. After the confirmation of stationarity, ARCH effect and non-linearity by ADF, PP unit root, ARCH-LM and BDS test respectively the best estimated linear traditional Box-Jenkins ARIMA, non-linear threshold SETAR and ARIMA-GARCH models are selected based on AIC and BIC information criteria’s. The best proposed hybrid GARCH-SETAR model is also selected based on AIC and BIC information criteria’s. It is revealed that the one-step-ahead recursive forecast performance proposed hybrid GARCH-SETAR model outperforms all other selected linear and non-linear models for both Islamic and conventional stock markets based on RMSE, MAE, MAPE and SMAPE forecast evaluation criteria’s.

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Ganesh, M., Anjan Kumar Dash, P. Venkitachalam, and S. Shrinithi. "Static Characteristic Analysis of Spatial (Non-Planar) Links in Planar Parallel Manipulator." Robotica 39, no. 1 (May 6, 2020): 88–106. http://dx.doi.org/10.1017/s026357472000020x.

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SUMMARYConventional planar manipulators have their links in a single plane. Increasing payload at the end effector/mobile platform can induce high stress in the links due to the cantilever nature of links. Thus, it limits the total vertical load that can be applied on the mobile platform. In contrast to the links in conventional planar parallel mechanisms, non-planar links are proposed in this paper, that is, links are made inclined to the horizontal plane and non-planar legs are constructed. Though the links are made non-planar, the end effectors’ planar motion is retained. For studying the application of such non-planar links in planar manipulators, new models of inertia, stiffness and leg dynamics have to be developed. In this article, these models are developed by the static analysis of the planar manipulators with non-planar links, and the performance is compared with the corresponding conventional planar manipulators.

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44

Pasam, Prasanna, Kanaka Rakesh Varma Kothapalli, Rahimoddin Mohammed, Md Shelim Miah, and Srinivas Addimulam. "Financial Engineering and AI: Developing Predictive Models for Market Volatility." Asian Business Review 14, no. 1 (April 30, 2024): 43–52. http://dx.doi.org/10.18034/abr.v14i1.724.

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This paper examines financial engineering's use of AI to anticipate market volatility. To determine their efficacy, machine learning and deep learning are compared to ARCH and GARCH models. The study reviews secondary data and empirical experiments to assess AI-based model performance, strengths, and weaknesses. AI approaches outperform conventional methods in complex and turbulent markets because of their improved forecasting accuracy, adaptability, and capacity to capture non-linear market dynamics. AI models' interpretability, processing costs, and dependence on massive datasets restrict their acceptance. Policy implications underline the need for transparent, accountable, and ethical AI regulation in financial markets. The research also shows hybrid models that mix conventional and AI methods may improve volatility predictions while resolving interpretability issues. Overall, AI in financial modeling improves knowledge of market volatility and management.

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45

Prathapar, SA, and DL Reddell. "Weighted method of characteristics solutions for solute transport models." Soil Research 26, no. 4 (1988): 595. http://dx.doi.org/10.1071/sr9880595.

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Method of characteristics (MOC) solutions are widely employed in solute transport models to estimate tracer concentration. The conventional approach to obtain average tracer concentration for a particular cell is to arithmetrically average the concentration of moving points within the cell during a particular time step. This results in the prediction of a stepwise or a 'jerky' dispersion front unless a large number of moving points are introduced and/or smaller grid size are used. Criteria proposed in the past to avoid this 'jerky' behaviour are unsuitable if the flow is non-uniform and/or unsteady or if the grid size is large. To overcome this problem, a distance weighted criterion was incorporated in a solute transport model which utilizes the method of characteristics. Results were compared with those from analytical solutions and the conventional arithmetical averaging algorithm. The distance weighting algorithm performed as well as the arithmetic averaging algorithm for small grid sizes. When the grid size was large and/or the seepage velocity was low, the conventional approach resulted in a stepwise dispersion front, whereas the distance weighting approach resulted in a smoother dispersion front, consistent with analytical solution. Application of the proposed method should facilitate the selection of larger grid size for simulating solute transport in porous media.

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Srinivas, Kalyanapu. "Deep Learning Models for Micronutrient Deficiency Detection Using Fingernails." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (June 30, 2024): 1501–8. http://dx.doi.org/10.22214/ijraset.2024.59602.

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Abstract: Despite being common, micronutrient deficiencies are frequently missed because of the shortcomings of traditional diagnostic techniques. Conventional evaluations take a lot of time and may involve intrusive techniques. In order to overcome these obstacles, this project offers a novel approach that makes use of EfficientNetB1 and deep learning to reliably identify micronutrient deficiencies from fingernail images. This non-invasive, effective solution offers a substitute for widespread health monitoring.In order to identify tiny visual cues indicative of different micronutrient deficits, our suggested technique entails training an EfficientNetB1 model on a large dataset of fingernail photos. The model's remarkable 99% accuracy rate shows how well it can detect and categorize dietary deficits in a variety of nutrient categories. Through the utilization of EfficientNetB1, we are able to optimize the micronutrient deficiency detection process, providing a scalable and easily accessible approach with significant potential for population-wide health screening. In spite of resolving the widespread problem of underdiagnosed micronutrient deficiencies, this ground-breaking research transforms the diagnostic environment by bringing a streamlined and effective technique. We overcome the drawbacks of conventional diagnostic methods by improving the precision and speed of micronutrient insufficiency detection from fingernail photos by utilizing deep learning and the enhanced capabilities of EfficientNetB1. Our method is accessible due to its non-invasive nature, which makes it a good substitute for general health monitoring.

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Prasad, Sheo S. "Evolutionary Models of Interstellar Chemistry." Symposium - International Astronomical Union 120 (1987): 259–72. http://dx.doi.org/10.1017/s0074180900154130.

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The goal of evolutionary models of interstellar chemistry is to understand how interstellar clouds came to be the way they are, how they will change with time, and to place them in an evolutionary sequence with other celestial objects such as stars. To this end, we present an improved Mark II version of our earlier model of chemistry in dynamically evolving clouds. The Mark II model suggests that the conventional elemental C/O ratio less than one can explain the observed abundances of CI and the non-detection of O2 in dense clouds. Coupled chemical-dynamical models seem to have the potential to generate many observable discriminators of the evolutionary tracks. This is exciting, because, in general, purely dynamical models do not yield enough verifiable discriminators of the predicted tracks.

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Nono, Ayumu, Yusuke Uchiyama, and Kei Nakagawa. "Entropy Based Student’s t-Process Dynamical Model." Entropy 23, no. 5 (April 30, 2021): 560. http://dx.doi.org/10.3390/e23050560.

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Volatility, which represents the magnitude of fluctuating asset prices or returns, is used in the problems of finance to design optimal asset allocations and to calculate the price of derivatives. Since volatility is unobservable, it is identified and estimated by latent variable models known as volatility fluctuation models. Almost all conventional volatility fluctuation models are linear time-series models and thus are difficult to capture nonlinear and/or non-Gaussian properties of volatility dynamics. In this study, we propose an entropy based Student’s t-process Dynamical model (ETPDM) as a volatility fluctuation model combined with both nonlinear dynamics and non-Gaussian noise. The ETPDM estimates its latent variables and intrinsic parameters by a robust particle filtering based on a generalized H-theorem for a relative entropy. To test the performance of the ETPDM, we implement numerical experiments for financial time-series and confirm the robustness for a small number of particles by comparing with the conventional particle filtering.

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Hu, Wuyang. "Use of Spike Models in Measuring Consumers' Willingness to Pay for Non-GM Oil." Journal of Agricultural and Applied Economics 38, no. 3 (December 2006): 525–38. http://dx.doi.org/10.1017/s1074070800022598.

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In this paper, Chinese consumers' preferences and their willingness to pay (WTP) for non-genetically modified (GM) vegetable oil were elicited by a payment card approach. In addition to the conventional model, spike models, which were originally developed to evaluate public goods, were adopted in this paper. These spike models recognize the possibility of zero WTP and provide opportunities to analyze two correlated decision stages: whether to pay a premium for non-GM oil and how much the premium is. Results show that consumers behaved consistently in the two decision stages and there is a premium associated with non-GM oil.

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Aligholipour Farzani, Touraj, Katalin Földes, Koray Ergünay, Hakan Gurdal, Aliye Bastug, and Aykut Ozkul. "Immunological Analysis of a CCHFV mRNA Vaccine Candidate in Mouse Models." Vaccines 7, no. 3 (September 16, 2019): 115. http://dx.doi.org/10.3390/vaccines7030115.

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Development of new vaccine platforms against viral diseases is considered urgent. In recent years, mRNA constructs have attracted great interest in this field due to unique advantages over conventional gene transfer platforms. In the present study, we developed a new naked conventional mRNA vaccine expressing the non-optimized small (S) segment of the Ank-2 strain of Crimean-Congo Hemorrhagic Fever virus (CCHFV). We then analyzed its single and booster dose immunogenicity and protection potential in the challenge assay in two mice models, including IFNα/β/γR−/− and C57BL/6. The results obtained from the immunological assays, namely IL-4 and IFN-gamma ELISPOT, intracellular IFN-gamma staining, in-house sandwich ELISA, and survival data, demonstrated that our construct elicited the production of anti-nucleocapsid (N) specific immune responses in both mice models. A 100% protection rate was only obtained in the booster dose group of IFNα/β/γR−/− mice, indicating that this platform needs further optimization in future studies. In conclusion, we assessed a novel approach in CCHFV vaccination by introducing a conventional mRNA platform which can be considered in future experiments as an efficient and safe way to battle this disease.

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