Forecasting the effects of land use scenarios on farmland birds reveal a potential mitigation of climate change impacts. by Karine Princé, Romain Lorrillière, Morgane Barbet-Massin, François Léger, Frédéric Jiguet

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Arabic Opinion Classification of Customer Service Conversations Using Data Augmentation and Artificial Intelligence by Rihab Fahd Al-Mutawa, Arwa Yousuf Al-Aama

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Attentive ink MLP droplet detection algorithm based on the satellite droplets threshold domain by Yin Wang, Yali Qi, Likun Lu, Qingtao Zeng

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Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer by Valentina Brancato, Mario Verdicchio, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello

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Winnow-KAN: single-cell RNA-seq location recovery with small-gene-set spatial transcriptomics by Yuyang Zhang, Qihuang Zhang

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Proposal of reference values for transverse cerebellar diameter in Korean fetuses and comparison with other countries by Sung-Hee Yang, Chul-Hwan Hwang, Hyun-Sook An, Dong-Yeon Lee

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Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. by Benjamin Simmonds, Maurice J Chacron

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Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis. by Leonardo V Castorina, Filippo Grazioli, Pierre Machart, Anja Mösch, Federico Errica

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Virtual docking screening and QSAR studies to explore AKT and mTOR inhibitors acting on PI3K in cancers by Ilham Kandoussi, Oussama Benherrif, Wiame Lakhlili, Jamal Taoufik, Azeddine Ibrahimi

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Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin by WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong

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Comparison of survival in patients with low vs. intermediate prostate-specific antigen concentrations and development of a nomogram: a surveillance, epidemiology and end results pr... by Jingchang Mei, Guanqun Zhu, Yu Yao, Fengju Guan, Lijiang Sun, Guiming Zhang

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Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. by Yang Li, Chengxin Zhang, Eric W Bell, Wei Zheng, Xiaogen Zhou, Dong-Jun Yu, Yang Zhang

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Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks by Junsei Oda, Kazuhiro Takemoto

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Machine learning with environmental predictors to forecast hospital visits and admissions: a systematic review by Levi Monteiro Martins, Elsa Coz, Delphine Maucort-Boulch, Mohand-Saïd Hacid

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Investigating the complementarity of thermal and physical soil organic carbon fractions by A. A. Delahaie, L. Cécillon, M. Stojanova, S. Abiven, P. Arbelet, D. Arrouays, F. Baudin, A. Bispo, L. Boulonne, C. Chenu, J. Heinonsalo, C. Jolivet, K. Karhu, M. Martin, L. Pacini, L. Pacini, C. Poeplau, C. Ratié, P. Roudier, N. P. A. Saby, F. Savignac, P. Barré

“…<p>Partitioning soil organic carbon (SOC) in fractions with different biogeochemical stability is useful to better understand and predict SOC dynamics and provide information related to soil health. …”
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Pooled error variance and covariance estimation of sparse in situ soil moisture sensor measurements in agricultural fields in Flanders by M. G. A. Hendrickx, M. G. A. Hendrickx, J. Vanderborght, J. Vanderborght, P. Janssens, P. Janssens, P. Janssens, S. Bombeke, E. Matthyssen, A. Waverijn, J. Diels, J. Diels

“…These results demonstrate that the common assumption of uncorrelated random errors to determine parameter and model prediction uncertainty is not valid when measurements from sparse in situ soil moisture sensors are used to parameterize soil hydrological models. …”
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WetCH₄: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022 by Q. Ying, Q. Ying, B. Poulter, J. D. Watts, K. A. Arndt, A.-M. Virkkala, L. Bruhwiler, Y. Oh, Y. Oh, B. M. Rogers, S. M. Natali, H. Sullivan, A. Armstrong, A. Armstrong, E. J. Ward, E. J. Ward, L. D. Schiferl, C. D. Elder, C. D. Elder, O. Peltola, A. Bartsch, A. R. Desai, E. Euskirchen, M. Göckede, B. Lehner, M. B. Nilsson, M. Peichl, O. Sonnentag, E.-S. Tuittila, T. Sachs, T. Sachs, A. Kalhori, M. Ueyama, Z. Zhang, Z. Zhang

“…The most important predictor<span id="page2508"/> variables included near-surface soil temperatures (top 40 cm), vegetation spectral reflectance, and soil moisture. Our results, modeled from 138 site years across 26 sites, had relatively strong predictive skill, with a mean <span class="inline-formula"><i>R</i>²</span> of 0.51 and 0.70 and a mean absolute error (MAE) of 30 and 27 nmol m<span class="inline-formula">⁻²</span> s<span class="inline-formula">⁻¹</span> for daily and monthly fluxes, respectively. …”
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Accident-tolerant hybrid ceramics for fusion breeding blanket by Keisuke Mukai, Taehyun Hwang, Minoru Kusaba, Jae-Hwan Kim

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Metabolic Syndrome, Hormone Levels, and Inflammation in Patients with Erectile Dysfunction by Miguel Ángel Arrabal-Polo, Salvador Arias-Santiago, Fernando López-Carmona Pintado, Sergio Merino-Salas, Clara Lahoz-García, Armando Zuluaga-Gómez, Miguel Arrabal-Martin

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Evaluating biodegradable alternatives to petroleum-based phase change materials in enclosed cavity heat transfer by Abdullah Aziz, Eiyad Abu-Nada, Anas Alazzam

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