Pyrite morphology and sulfur isotopes refine taphonomic models for the 2.1 Ga Francevillian biota, Gabon by Anna El Khoury, Farid Saleh, Abderrazak El Albani, Claude Fontaine, Claire Rollion-Bard, Ibtissam Chraiki, Jérémie Aubineau, Julie Ngwal’ghoubou Ikouanga, Mohamed Bhilisse, Maryem Zguaid, Andrea Somogyi, Ernest Chi Fru

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Molecular Mechanism of Body Color Change in the Ecological Seedling Breeding Model of <i>Apostichopus japonicus</i> by Lingshu Han, Pengfei Hao, Haoran Xiao, Weiyan Li, Yichen Fan, Wanrong Tian, Ye Tian, Luo Wang, Yaqing Chang, Jun Ding

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Buckling analysis of axially functionally graded carbon nanotubes-reinforced columns using the meshless method by Hanie Elahihamezanlui, Majid Kazemi, Mohammad Hosein Ghadiri Rad

“…Four types of volume fraction exponent functions are considered for modeling the FG variation of the CNT volume fraction to examine the effect of CNTs distribution on the buckling capacity of the column and determine the most optimal distribution of CNTs. …”
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Exploring the gut microbiota associated with peripheral nerve invasion in colorectal cancer patients and constructing predictive models by Chuanbin Chen, Qingmin Chen, Shenghai Liu, Guoxi Li, Jiawei Zhao, Jingting Huang, Tianyi Ye, Xinting Yang, Zigui Huang, Zhen Wang, Fuhai He, Mingjian Qin, Chenyan Long, Binzhe Tang, Yongqi Huang, Weizhong Tang, Jungang Liu, Xiaoliang Huang

“…Both models have demonstrated robust performance. Conclusions In the PNI and NPNI groups, 35 gut microbiota species exhibited significant variations in abundance. …”
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A Novel Approach to Approximating Generalized Pointing Errors Modeled by Beckmann Distribution in FSO Communication Systems by Emna Zedini, Yalcin Ata, Abla Kammoun, Mohamed-Slim Alouini

“…By applying this approximation to the generalized pointing error model and incorporating angle-of-arrival (AOA) variations, we present novel analytical equations for the cumulative distribution function and the probability density function of the composite Gamma-Gamma turbulence channel. …”
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Research on the Simplified Calculation Model and Parameter Analysis of Large-Size PBL-Stiffened Steel–Concrete Joints by Haolin Liu, Baisong Du, Heying Zhou

“…To investigate the design principles and simplified calculation model of large-size PBL-stiffened steel–concrete joints, this study uses a Y-shaped rigid frame-tied arch composite bridge as an engineering background. …”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…However, existing methods often underperform in complex scenes due to small-object segmentation challenges, blurred boundaries, and background interference, often influenced by sensor resolution and atmospheric variation. To address these limitations, we propose a dual-stage framework that combines an enhanced YOLOv5s detector with the Segment Anything Model (SAM) to improve segmentation accuracy and robustness. …”
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Computational work of casson rheology on 3D swirling plate employing yamada-ota and xue models by Jabr Aljedani, Hakim AL Garalleh, Umar Nazir, Muhammad Sohail, Ibrahim Mahariq, Abd Allah A. Mousa, Afnan Al Agha

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Analysis on the Error Correction Method of 2m Temperature Hourly Forecast Based on CMA-GD Model by Jian LI, Qi FAN, Ying ZHANG, Xingsheng XU

“…The most significant meteorological component is temperature， and weather forecasting relies heavily on how accurately temperatures are predicted.This study uses a linear non-graded regression method to rectify the inaccuracies in temperature forecasts induced by terrain variation in the 2 m temperature hourly forecast product of the mesoscale numerical model （China Meteorological Administration Guangdong， CMA-GD）， and use the one-dimensional Kalman filtering method and the double-weighted moving average method to correct the results.The accuracy of the hourly distribution exhibits a diurnal variation feature， and the model terrain height deviation is linearly negatively connected with the temperature error mean value， according to the results.The daytime correction impact is superior than the nighttime correction effect following the ungraded regression method.recorrecting using the best time frame for mathematical correction techniques （15 days for the Kalman method and 20 days for the mean method）.It is discovered that the mean method's re-correction effect outperforms the Kalman methods， and that the correction effect is more pronounced during the day than at night.Summer and autumn have a better re-correction impact than winter and spring， with some negative correction effects in spring and little difference between the two techniques in the latter.In the former， the mean value method outperforms the Kalman method.There are eight stations with negative correction following the ungraded regression method， but no negative correction stations follow the mathematical correction methods.Therefore the northern region typically experiences a better corrective impact than the southern region.The fraction of correction magnitude for both MAE and ACC is positively correlated with a binomial connection.The terrain deviation correction method has the least slope and restricted correction effect， while the mean value approach has the best correlation and largest slope.An error assessment was conducted in the middle part of Poyang Lake Plain and the south Zhejiang-Fujian hilly region.The peak error value in the former was lower than that in the latter， and the correction amplitude at the peak was smaller.After correction， the MAE decreased by 25.1% and 19.8%， respectively.From November 2022 to January 2023， during frequent cold air intrusions， the MAE in the middle part of the Poyang Lake Plain decreased by 13.5%.With corrected forecast errors oscillating around the zero axis and a noticeable improvement in systematic positive errors， the model significantly overestimates the temperature forecast for high mountain areas.The temperature forecast errors oscillate with the smallest amplitude from August to October and the largest amplitude in spring and winter.Taking the warming process （May 1-6， 2022） and the strong cooling process （November 28-December 3， 2022） as examples， the corrected MAE decreased by 18.2% and 16.0%， respectively， indicating that the method has achieved stable correction effects during transitional weather.This composite method has good stability， strong forecast correction ability， easy to promote.…”
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Identification of Differences in Body Composition Measures Using 3D-Derived Artificial Intelligence from Multiple CT Scans across the L3 Vertebra Compared to a Single Mid-Point L3... by Ke Cao, Josephine Yeung, Yasser Arafat, Matthew Y. K. Wei, Justin M. C. Yeung, Paul N. Baird

“…Purpose. Body composition analysis in colorectal cancer (CRC) typically utilises a single 2D-abdominal axial CT slice taken at the mid-L3 level. …”
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Field Monitoring and Numerical Analysis of the Effect of Air Temperature and Water Load on the Static Behavior of a Tied-Arch Aqueduct by Xiaobin Lu, Yang Li, Xiulin Li, Meng Li

“…Based on field-monitored data for over a year, it mainly focuses on the effect of air temperature and water load variations on the static behavior of a typical span of the aqueduct through field monitoring and 3D FE model analysis. …”
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Efficient merging and validation of deep learning-based nuclei segmentations in H&E slides from multiple models by Jagadheshwar Balan, Shannon K. McDonnell, Zachary Fogarty, Nicholas B. Larson

“…Characterizing cellular composition in tissue samples offers fundamental insights into functional and biological processes. …”
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Developing Species-Age Cohorts from Forest Inventory and Analysis Data to Parameterize a Forest Landscape Model by Richard H. Odom, W. Mark Ford

“…Simulating long-term, landscape level changes in forest composition requires estimates of stand age to initialize succession models. …”
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Optimization of Candida tropicalis growth conditions on silicone elastomer material by response surface methodology by Kavyasree Marabanahalli Yogendraiah, Bindu Sadanandan, Lokesh Kyathsandra Natraj, Vaniyamparambath Vijayalakshmi, Kalidas Shetty

“…A direct correlation was observed between biofilm formation and cell viability, with variations in the cell mass in all the cultures. This is the first of its kind study to advance an in vitro silicone elastomer-based high-throughput growth model of C. tropicalis for various applications, including the screening of potential therapeutics.…”
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Historical View and Some Unsolved Problems in Red Blood Cell Membrane Research by Ingolf Bernhardt, Lars Kaestner

“…The article provides a comprehensive overview of biological membrane lipid composition and distribution and ion transport processes, focusing particularly on red blood cells (RBCs). …”
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A deep learning-based detection model and illumination-adaptive behavioral analysis for soldier crabs in the intertidal zone by Liangjun Li, Zhihao Ren, Cheng Tang, Shengning Lu, Yong Liang

“…Their behavioral rhythms respond sensitively to environmental fluctuations, especially variations in sediment composition and illumination. …”
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Effects of different vegetation restoration models on soil nutrients in the water level fluctuation zone of a large reservoir by Bai Qinfei, Bao Yuhai, Yu Yantong, Yang Jie, Wang Yanqi, Wei Jie

“…Compared to the CK, the soil nutrient composite index (SNCI) exhibited a reduction of 32.09 %, whereas artificial restoration showed a significantly lower decrease of only 10.62 %. …”
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Optimization of extrusion parameters for low-cost alumina–kaolin ceramic membranes via CCD by Mahmoud Moharrami, Mohammadreza Omidkhah, Mohammad Salehi Maleh

“…The RSM approach was validated by optimizing ceramic membrane fabrication based on composition and sintering temperature variations. Key fabrication parameters, including the compositions of alumina, kaolin, talc, starch, and polyethylene glycol (PEG), and the sintering temperature, were optimized to achieve the desired porosity, average pore size, and flexural strength. …”
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Stacking sequence effects on flexural stiffness, failure progression, and energy absorption in asymmetric CFRP laminates by Afsar Husain, Sanan H. Khan, Abdel Hamid I. Mourad

“…This study investigates the fabrication, flexural behavior, failure mechanisms, and energy absorption characteristics of asymmetric composite laminates through experimental testing and finite element modeling. …”
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Achieving excellent mechanical properties in CoNiCrMo multi-principal element alloys: A comprehensive approach integrating mean square atomic displacement and machine learning meth... by Yang Long, Wei Fang, Haoyang Yu, Tiexu Peng, Cong Li, Weiguang Liu, Chang Liu, Qinghe Jia, Yushui Chen, Jia Li, Fuxing Yin

“…The results indicate electronegativity difference is the descriptor of the highest importance in the lattice distortion prediction of the ML model. Meanwhile, the MSAD value is basically the same as the electronegativity difference value with compositional variation, which provides an important reference for alloy design. …”
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