A Multiwavelength View of the Rapidly Evolving SN 2018ivc: An Analog of SN IIb 1993J but Powered Primarily by Circumstellar Interaction by Keiichi Maeda, Poonam Chandra, Takashi J. Moriya, Andrea Reguitti, Stuart Ryder, Tomoki Matsuoka, Tomonari Michiyama, Giuliano Pignata, Daichi Hiramatsu, K. Azalee Bostroem, Esha Kundu, Hanindyo Kuncarayakti, Melina C. Bersten, David Pooley, Shiu-Hang Lee, Daniel Patnaude, Ósmar Rodríguez, Gaston Folatelli

“…However, SN 2018ivc shows an optical light-curve evolution more complicated than that of canonical SNe IIL. …”
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Electrical impedance spectroscopy for non-destructive meat freshness assessment by Shiqian Wang, Ziye Zhang, Xinyao Zhao, Xinqing Xiao

“…The paper encapsulates the commonly employed methods for the selection and processing of electrical impedance sensor data, including preprocessing, feature selection, calibration, and validation. Ultimately, the paper posits that the evolution from costly electrochemical devices traditionally used for impedance data collection to more economical, impedance-based devices for estimating meat freshness represents an avenue ripe for future exploration.…”
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Progress and Challenges in Morphodynamics of Braided Rivers in Source Region of Yangtze River by LI Zhi-wei, OUYANG Wei-qi

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Forest point cloud registration: a review by Jincheng Liu, Yijun Guo, Juntao Yang, Ningning Zhu, Wenxia Dai, Qiang Yu

“…The developmental process of forest point cloud registration methods, spanning from the early reliance on manual markers to the subsequent evolution towards automatic registration based on feature matching, and then to the advanced technology based on deep learning were reviewed. …”
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Research on defect perception model of distribution network based on big data analysis and waveform matching algorithm by LIN Kaifeng, LI Yiming, ZHANG Bo, YANG Changyu, ZHU Zeting, YANG Zhenda

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Classification and Recognition of Soybean Quality Based on Hyperspectral Imaging and Random Forest Methods by Man Chen, Zhichang Chang, Chengqian Jin, Gong Cheng, Shiguo Wang, Youliang Ni

“…Eight preprocessing methods, including baseline correction (BC), moving average (MA), Savitzky–Golay derivative (SGD), normalization, standard normal variate transformation (SNV), multiplicative scatter correction (MSC), first derivative (DS), and Savitzky–Golay smoothing (SGS), were applied to the raw spectral data to eliminate irrelevant information. Feature wavelengths were selected using the successive projections algorithm (SPA) and the competitive adaptive reweighted sampling (CARS) algorithm to reduce spectral redundancy and enhance model detection performance, retaining eight and ten feature wavelengths, respectively. …”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…Furthermore, to optimize model performance, different feature selection algorithms were evaluated. Ultimately, an XGBoost-based feature selection method incorporating prior knowledge was employed to identify optimal LIBS spectral features, and the selected feature subsets were utilized in multimodal modeling to enhance stability. …”
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The marketing potential of the enterprise and the possibilities of its development in modern conditions by N. V. Arsenieva, L. M. Putyatina

“…The purpose of the study is to determine the features of the modern category of “marketing potential of the enterprise” and their scientific use in the implementation of long-term development plans. …”
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Research and application of VoLTE video call quality based on machine learning by Qizhu ZHONG

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Home is where my villa is: a machine learning-based predictive suitability map for Roman features in Northern Noricum (ca. 50–500 CE/Lower Austria/AUT) by Dominik Hagmann

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Modélisation du changement d’échelles en télédétection par une méthode neuronale : application a l’étude de l’évolution de l’occupation hivernale des sols en Bretagne... by Thomas Houet, Laurence Hubert-Moy, Grégoire Mercier

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Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance by Xueyuan Kang, Amalia Kokkinaki, Xiaoqing Shi, Jonghyun Lee, Zhilin Guo, Lingling Ni, Jichun Wu

“…Instead, the BNN model chooses three physically meaningful SZ quantities related to mass discharge as input features. Then, we use the expected gradients method to identify the feature importance for mass‐discharge prediction. …”
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The origin and nature of macroecological patterns in amphibians: old questions, novel approaches by Sidney F. Gouveia

“…I also provided support for some well-established hypotheses regarding the physiological determinants of species diversity and trait variation across space, while revealing other lesser known patterns and the possible processes underlying species’ distributions and niche evolution. I emphasize the need for a novel integration of theoretical and methodological approaches to improve the analysis of broad-scale ecological processes, in particular those related to the fundamental features (e.g. physiology) of species. …”
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THE STRESS-AND-STRAIN STATE OF THE SOUTH-EASTERN PART OF THE SKYBA AND BORYSLAV-POKUTTYA NAPPES OF THE UKRAINIAN CARPATHIANS by I. M. Bubniak, Yu. M. Vikhot, M. V. Nakapelyukh

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Beyond SARS-CoV-2: could MERS-CoV spark the next coronavirus pandemic? A one health perspective by Goshen David Miteu

“…The objective of this commentary is to spotlight the virological, epidemiological, and evolutionary features of MERS-CoV and its potential to trigger the next coronavirus pandemic. …”
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Error-correcting codes and genetics by Gérard Battail

“…Based on these hypotheses, fundamental results of information theory explain basic features of the living world, especially that life proceeds by successive generations, the discreteness of species and their hierarchical taxonomy, as well as the trend of evolution towards complexity. …”
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Experimental and numerical study on the shear deformation characteristics of the loess-concrete interfaces by Liang Zhang, Tiehang Wang, Zhilang You, Zaikun Zhao, Jiabin Ruan, Yuxin Xue

“…DEM simulations closely matched the experimental results and reproduced micromechanical evolution features of the shear process. The evolution of force chains, stress fields, coordination number, and porosity exhibited strong directionality opposite to the shear direction, reflecting consistency between microscopic responses and macroscopic behavior.…”
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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

“…Understanding the microstructural evolution during the SLM process is crucial for optimising the mechanical properties and performance of the fabricated parts. …”
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Deciphering the collisional dynamics of the Bangong-Nujiang Tethyan Ocean: multi-regional anisotropy of magnetic susceptibility (AMS) constraints from the Central Tibetan Plateau by Qinglong Chen, Xin Cheng, Nan Jiang, Bitian Wei, Longyun Xing, Dongmeng Zhang, Ruiyang Chai, Hanning Wu

“…Investigating the closure evolution of the Bangong-Nujiang Tethyan Ocean during the Middle Jurassic to Late Cretaceous period will significantly enhance our understanding of the broader tectonic dynamics within the Global Tethys Domain. …”
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New Paradigms for Geomorphological Mapping: A Multi-Source Approach for Landscape Characterization by Martina Cignetti, Danilo Godone, Daniele Ferrari Trecate, Marco Baldo

“…The advent of geomatic techniques and novel sensors has opened the road to new approaches in mapping, including morphological ones. The evolution of a land portion and its graphical representation constitutes a fundamental aspect for scientific and land planning purposes. …”
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