A hyperspectral approach for retrieving inherent optical properties, phytoplankton pigments, and associated uncertainties from non-water absorption by Brice Grunert, Audrey Ciochetto, Audrey Ciochetto, Colleen Mouw

“…Ocean color datasets collected by airborne and satellite sensors provide platforms capable of observing distinct ecosystem features at requisite spatial and temporal scales; however, many of the tools used, including novel tools developed for hyperspectral datasets, rely on assumptions to retrieve component optical properties that are tied to specific ecosystem traits, such as phytoplankton pigments and spectral features affiliated with carbon concentration and composition. The original Derivative Analysis and Iterative Spectral Evaluation of Absorption (DAISEA) algorithm was produced as a means to identify spectral features in hyperspectral absorption spectra free of explicit spectral assumptions in an effort to bypass these limitations. …”
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The Frequency, Magnitude, and Spatial Distribution of Heart Rot in Dominant Temperate Tree Species in a Forest Dynamics Plot by Hunter Gonzalez, Ally O'Neill, Michael Parent, Debit Datta, Nathan G. Swenson

“…ABSTRACT The composition, dynamics, and health of forest tree communities are governed by interactions with the abiotic and biotic environment. …”
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Supplementing the Build Activity in Design Science Research with Soft Systems Methodology: A Technique of Creating Frameworks for Guiding Interventions Against Unstructured Problem... by Agnes Nakakawa, Fiona P. M. Tulinayo, Geoffrey O. Tabo, Patrick van Bommel, Hans B. F. Mulder, Henderik A. Proper

“…., constructs, models, methods and frameworks, and instantiations. Unfortunately, explicit guidance is still lacking on how to coherently operationalize such guidelines when building a DSR artifact, particularly a framework. …”
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Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels by Tadbhagya Kumar, Anuj Kumar, Anuj Kumar, Pinaki Pal

“…Further, a-posteriori autoregressive inference tests demonstrate that Phy-ChemNODE leads to reduced temporal stiffness in the latent space, and achieves 1-3 orders of magnitude speedup relative to the detailed kinetic mechanism depending on the type of ODE solver (implicit or explicit) used for numerical integration, while ensuring prediction fidelity.…”
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Personality Sphere in the Novel “Chervony” by A. Kokotyukha by Lyudmila Romas

“…It has been found that the compositional peculiarity of the novel lies in the fact that it was written as three notebooks (“Ukraine. …”
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Models of waveguides combining gradient and nonlinear optical layers by S. E. Savotchenko

“…The paper aims to develop a theory of composite optically nonlinear gradedindex waveguides with an arbitrary profile, within which it is possible to obtain exact analytical expressions for surface waves and waveguide modes in an explicit form. …”
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The influence of farm connectedness on foot‐and‐mouth disease outbreaks in livestock by Jean B. Contina, Rachel L. Seibel, Bhim Chaulagain, Karasi B. Mills, Michael J. Tildesley, Christopher C. Mundt

“…We used a spatially explicit stochastic model to simulate FMD outbreaks on livestock farm operations in four UK counties. …”
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Do generational diversity and perceived similarity improve team functioning in rural Chinese hospitals? A cross-sectional survey study by Martina Buljac-Samardžić, Joris van de Klundert, Jeroen van Wijngaarden, Hujie Wang

“…Objectives Generational diversity, increasingly prominent in the composition of the healthcare workforce in rapidly developing countries, has received much attention in practice and research recently. …”
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A Novel Framework for Saraiki Script Recognition Using Advanced Machine Learning Models (YOLOv8 and CNN) by Hafiz Muhammad Raza Ur Rehman, Syed Arfan Haider, Hiba Faisal, Kook-Yeol Yoo, M. Z. Jhandir, Gyu Sang Choi

“…Linguistics’ fundamental goal is to comprehend how language functions in composition and context. On the other hand, machine learning is the study of how to teach machines to learn and predict using data instead of explicit programming. …”
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Combination application of microbial agent and lime application improves soil nutrients and soil fungi community, producing good quality tobacco by Jingtao Zhang, Chao Li, Kai Xia, Kaikai Cheng, Shanhu Guo, Wenzheng Pan, Lingling Liu, Ke Wang, Li Wen, Haiming Tang

“…T4 treatment facilitated the harmonization of chemical composition of tobacco leaves and greatly increased tobacco yield by 8.94% than T1. …”
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Psycholinguistic Peculiarities of the Development of Communicative Competence of Teachers of Secondary Schools by Едуард Івашкевич, Людмила Примачок

“…Psycholinguistic peculiarities of the development of communicative competence of the teachers and the directors of schools were established: the composite assessment of the teacher’s communicative competence positively correlates with social intelligence, reflexive and empathic personal abilities; communicative competence of the teacher depends on the actualization of scripts of role deixis, explicit and implicit pragmatic constituents in its structure, etc.…”
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Interpretation of Historic Urban Landscape Genes: A Case Study of Harbin, China by Jianqiao Sun, Long Shao

“…To address this issue, this study draws on the theory of biological genes, employing methods such as historical information translation, deconstruction and extraction of landscape features, and genetic analysis to establish a research paradigm of “holistic composition interpretation—dynamic evolution interpretation” for historic urban landscape genes. …”
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A Guide for Developing Demo‐Genetic Models to Simulate Genetic Rescue by Julian E. Beaman, Katie Gates, Frédérik Saltré, Carolyn J. Hogg, Katherine Belov, Kita Ashman, Karen Burke daSilva, Luciano B. Beheregaray, Corey J. A. Bradshaw

“…Therefore, the success of genetic rescue depends not only on the genetic composition of the source and target populations but also on the emergent outcome of interacting demographic processes and other stochastic events. …”
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Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling by K. A. Muller, P. Jiang, G. Hammond, T. Ahmadullah, H.-S. Song, R. Kukkadapu, N. Ward, M. Bowe, R. K. Chu, Q. Zhao, V. A. Garayburu-Caruso, A. Roebuck, X. Chen

“…<p>Organic matter (OM) composition plays a central role in microbial respiration of dissolved organic matter and subsequent biogeochemical reactions. …”
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Assessing eco-physiological patterns of Ailanthus altissima (Mill.) Swingle and differences with native vegetation using Copernicus satellite data on a Mediterranean Island by Flavio Marzialetti, Vanessa Lozano, André Große-Stoltenberg, Maria Laura Carranza, Michele Innangi, Greta La Bella, Simonetta Bagella, Giovanni Rivieccio, Gianluigi Bacchetta, Lina Podda, Giuseppe Brundu

“…Biological invasions, one of the most pervasive components of global change, can cause irreversible alterations in the composition and functioning of ecosystems. This includes changes of eco-physiological traits of plant communities. …”
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Du lyrisme au lecteur : le désir de contemporanéité chez João Cabral et Ana Cristina Cesar by Marcos Siscar

“…The aim is to understand how the notion of compositional objectivity implies a political concern related to the critical nature of poetry. …”
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Cross-feeding between beneficial and pathogenic bacteria to utilize eukaryotic host cell-derived sialic acids and bacteriophages shape the pathogen-host interface milieu by Darab Ghadimi, Regina Fölster-Holst, Sophia Blömer, Michael Ebsen, Christoph Röcken, Jumpei Uchiyama, Shigenobu Matsuzaki, Wilhelm Bockelmann

“…We established a sialidase-explicit model in which beneficial and pathogenic bacteria interact through cross-feeding and competition for free sialic acid using a human triple co-culture cell model incorporating colonocytes (T84 cells), monocytes (THP-1 cells), and hepatocytes (Huh7 cells). …”
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Discovery of ultra-high strength aluminum alloys with high damage tolerance via interpretable chain-based machine learning by Lei Jiang, Xinbiao Zhang, Wentao Zhoutai, Zhilin Han, Minghong Mao, Wenli Xue, Jianxin Xie

“…Firstly, by integrating a gradient boosting regression model linking alloy composition (AC) and solution-aging processes (SAP) to tensile mechanical properties (TMP), including ultimate tensile strength σb, yield strength σy, and elongation A, with an explicit quantitative relationship between TMP and fatigue strength (FS), expressed as FS = ασbA1/4, a multi-scale interpretable prediction model was constructed to AC + SAP → TMP → FS. …”
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Some New Difference Inequalities and an Application to Discrete-Time Control Systems by Hong Zhou, Deqing Huang, Wu-Sheng Wang, Jian-Xin Xu

“…Under several practical assumptions, the inequalities are solved through rigorous analysis, and explicit bounds for the unknown functions are given clearly. …”
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A framework for disentangling ecological mechanisms underlying the island species–area relationship by Jonathan M. Chase, Leana Gooriah, Felix May, Wade A. Ryberg, Matthew S. Schuler, Dylan Craven, Tiffany M. Knight

“…Finally, if parameters indicative of within-island spatial variation in species composition (i.e., β-diversity) increase with island area, we can conclude that intra-island compositional heterogeneity plays a role in driving the ISAR. …”
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