Inference of a Susceptible–Infectious stochastic model by Giuseppina Albano, Virginia Giorno, Francisco Torres-Ruiz

“…We pointed out that the time dependence in the infinitesimal moments of the diffusion process made classical inference methods inapplicable. The proposed procedure were based on the generalized method of moments in order to find a suitable estimate for the infinitesimal drift and variance of the transformed process. …”
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Neural Plasticity and Proliferation in the Generation of Antidepressant Effects: Hippocampal Implication by Fuencisla Pilar-Cuéllar, Rebeca Vidal, Alvaro Díaz, Elena Castro, Severiano dos Anjos, Jesús Pascual-Brazo, Raquel Linge, Veronica Vargas, Helena Blanco, Beatriz Martínez-Villayandre, Ángel Pazos, Elsa M. Valdizán

“…We will especially focus on the hippocampal cellularity and plasticity modulation by serotonin, trophic factors as brain-derived neurotrophic factor (BDNF), and vascular endothelial growth factor (VEGF) through intracellular signalling pathways—cAMP, Wnt/β-catenin, and mTOR. Connecting the classic monoaminergic hypothesis with proliferation/neuroplasticity-related evidence is an appealing and comprehensive attempt for improving our knowledge about the neurobiological events leading to depression and associated to antidepressant therapies.…”
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Report on the Dutch Consensus Development Meeting for Implementation and Further Development of Population Screening for Colorectal Cancer Based on FOBT by M. de Visser, M. van Ballegooijen, S. M. Bloemers, S. J. H. van Deventer, J. B. M. J. Jansen, J. Jespersen, C. Kluft, G. A. Meijer, J. Stoker, G. A. de Valk, M. F. Verweij, F. A. Vlems

“…There was consensus that all classical Wilson and Jungner (1968) criteria, and six additional ones added more recently, had already been fulfilled or could be fulfilled within 2–3 years. …”
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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection by Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li

“…Experiments on the real datasets show that the method performs better than classical and some recently proposed methods in background and interference suppression, and achieves satisfactory anomaly detection precision.…”
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From homogeneous metric spaces to Lie groups by Cowling, Michael G., Kivioja, Ville, Le Donne, Enrico, Nicolussi Golo, Sebastiano, Ottazzi, Alessandro

“…We study homogeneous metric spaces, by which we mean connected, locally compact metric spaces whose isometry group acts transitively.After a review of a number of classical results, we use the Gleason–Iwasawa–Montgomery–Yamabe–Zippin structure theory to show that for all positive $ \epsilon $, each such space is $ (1,\epsilon ) $-quasi-isometric to a connected metric Lie group (metrized with a left-invariant distance that is not necessarily Riemannian).Next, we develop the structure theory of Lie groups to show that every homogeneous metric manifold is homeomorphically roughly isometric to a quotient space of a connected amenable Lie group, and roughly isometric to a simply connected solvable metric Lie group.Third, we investigate solvable metric Lie groups in more detail, and expound on and extend work of Gordon and Wilson [31, 32] and Jablonski [44] on these, showing, for instance, that connected solvable Lie groups may be made isometric if and only if they have the same real-shadow.Finally, we show that homogeneous metric spaces that admit a metric dilation are all metric Lie groups with an automorphic dilation.…”
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An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning by Néstor Rodríguez-Padial, Marta Marín, Rosario Domingo

“…This paper addresses this tactical goal and aims to provide greater knowledge and better predictions by projecting reliable behavior in the medium-term, integrating this new functionality into classic Balance Scorecards, and making it possible to extend their current measuring function to a new aptitude: predicting evolution based on historical data. …”
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Back-extraction of major actinides from organic phase through precipitation by Réaux-Durain, Julie, Mortada, Boushra, Bertrand, Murielle, Maynadié, Jérôme, Carboni, Michaël, Meyer, Daniel, Bourgeois, Damien

“…This work demonstrates the effectiveness of precipitation stripping using oxalic acid for the stripping of Th and U present in the organic phase, eliminating the need for reducing agents classically employed in the PUREX process.…”
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An Improved Physarum polycephalum Algorithm for the Shortest Path Problem by Xiaoge Zhang, Qing Wang, Andrew Adamatzky, Felix T. S. Chan, Sankaran Mahadevan, Yong Deng

“…Shortest path is among classical problems of computer science. The problems are solved by hundreds of algorithms, silicon computing architectures and novel substrate, unconventional, computing devices. …”
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Nonlinear compressive reduced basis approximation for PDE’s by Cohen, Albert, Farhat, Charbel, Maday, Yvon, Somacal, Agustin

“…Then, we discuss a systematic approach for achieving better performance via a nonlinear reconstruction from the first coordinates of a linear reduced model approximation, thus allowing us to stay in the same “classical” framework of projection-based model reduction. …”
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Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review by Salman Khalid, Muhammad Haris Yazdani, Muhammad Muzammil Azad, Muhammad Umar Elahi, Izaz Raouf, Heung Soo Kim

“…By bridging the gap between classical physics-based models and data-driven techniques, this review advances the understanding of PINN methodologies for laminated composites and underscores their transformative role in addressing modeling complexities and solving real-world problems.…”
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Computational and Biological Comparisons of Plant Steroids as Modulators of Inflammation through Interacting with Glucocorticoid Receptor by Mohamed A. Morsy, Snehal S. Patel, Azza A. K. El-Sheikh, Jignasa K. Savjani, Anroop B. Nair, Jigar N. Shah, Katharigatta N. Venugopala

“…Searching for compounds that are as equally efficient as glucocorticoids, but with less side effects, the current study compared plant steroids, namely, glycyrrhetinic acid, guggulsterone, boswellic acid, withaferin A, and diosgenin with the classical glucocorticoid, fluticasone. This was approached both in silico using molecular docking against glucocorticoid receptor (GR) and in vivo in two different animal models. …”
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Damped Iterative Explicit Guidance for Multistage Rockets with Thrust Drop Faults by Zongzhan Ma, Chuankui Wang, Zhi Xu, Shuo Tang, Ying Ma

“…A damped iterative explicit guidance (DIEG) algorithm is proposed to address the problem of the insufficient convergence of classical explicit guidance methods in the event of thrust drop faults in multistage rockets. …”
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One Single Amino Acid for Estimation the Content of Total Free Amino Acids in Qingkailing Injection Using High-Performance Liquid Chromatography-Diode Array Detection by Li Zhang, Xue Wang, Jiankun Su, Haiyu Liu, Zhixin Zhang, Lingling Qin, Cheng He, Long Peng, Mingxing Guo, Xiaoyan Gao

“…No statistically significant difference between these two quantification methods of One for M and classic regression equation was found by the t-test (P  =  95%, P>0.05). …”
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Non-contact lensless holographic reconstruction of diffractive intraocular lenses profiles by Rosa Vila-Andrés, Anabel Martínez-Espert, Walter D. Furlan, José J. Esteve-Taboada, Vicente Micó

“…Besides, a study evaluating the convergence and robustness of the proposed iterative phase-retrieval routine based on a modified classical Gerchberg-Saxton algorithm is performed. …”
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Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology by Li Di, Cen Chen, Zhuo Lv, Mingyan Li, Nuannuan Li, Hao Chang

“…Our research utilizes a lightweight gradient-based method for detecting known threats, and we propose a novel detection approach for unknown threats that combines classical anomaly detection methods, specifically support vector machines, with autoencoders. …”
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A Case of Skull Base Osteomyelitis with Multiple Cerebral Infarction by Haruka Miyabe, Atsuhiko Uno, Takahiro Nakajima, Natsue Morizane, Keisuke Enomoto, Masayuki Hirose, Toshinori Hazama, Yukinori Takenaka

“…Skull base osteomyelitis is classically documented as an extension of malignant otitis externa. …”
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Systematic functional analysis and potential application of a serine protease from cold-adapted Planococcus bacterium by Weijun Leng, Xiaoyun Wu, Xianghui Qi, Hongying Liu, Li Yuan, Ruichang Gao

“…Bioinformatics analysis revealed that PmSpr288 belongs to serine protease S8 superfamily with a classical catalytic triad comprised by the Asp49, His86 and Ser251. …”
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The Fate of the Tumor in the Hands of Microenvironment: Role of TAMs and mTOR Pathway by Danilo Figueiredo Soave, Marina Pacheco Miguel, Fernanda Dias Tomé, Liliana Borges de Menezes, Patrícia Resende Alo Nagib, Mara Rúbia Nunes Celes

“…Biologically, two forms of activated macrophages can be observed: classically activated macrophages (M1) and alternative activated macrophages (M2). …”
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Development of Homogeneous Carboxylation of Phenolates via Kolbe–Schmitt Reaction by Dmitry A. Merzliakov, Michael S. Alexeev, Maxim A. Topchiy, Dmitry G. Yakhvarov, Nikolai Yu. Kuznetsov, Anton L. Maximov, Irina P. Beletskaya

“…The main product in the DMSO solution was identified as 4-hydroxybenzoic acid, in contrast to the classical Kolbe–Schmitt method which typically yields 2-hydroxybenzoic (salicylic) acid. …”
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Differences in the factor structure of the Eating Attitudes Test-26 in female adolescent patients with eating disorders before and after treatment by Daniel Stein, Zohar Spivak-Lavi, Orna Tzischinsky, Ora Peleg, Hadar Dikstein, Yael Latzer

“…Abstract Objective The Eating Attitudes Test-26 (EAT-26) is considered the screening instrument of choice to identify eating disorders (ED) symptoms in clinical and community populations, showing a classical three-factor structure. This study assessed whether the factor structure of the EAT-26 in patients with ED was stable at admission and discharge from inpatient treatment. …”
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