SuessR: Regional corrections for the effects of anthropogenic CO2 on δ13C data from marine organisms by Casey T. Clark, Mattias R. Cape, Mark D. Shapley, Franz J. Mueter, Bruce P. Finney, Nicole Misarti

“…SuessR is a free, user‐friendly tool that allows researchers to calculate and apply regional Suess corrections to δ13C data from marine systems using a unified approach. …”
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A Low Complexity Linear Precoding Method for Extremely Large-Scale MIMO Systems by Salah Berra, Abderrazak Benchabane, Sourav Chakraborty, Kazuki Maruta, Rui Dinis, Marko Beko

“…Massive multiple-input multiple-output (MIMO) systems are critical technologies for the next generation of networks. In this field of research, new forms of deployment are emerging, such as extremely large-scale MIMO (XL-MIMO), in which the antenna array at the base station (BS) is of extreme dimensions. …”
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Effectiveness of Community Smoking Prevention Education in Enhancing Adolescent’s Knowledge in Banyuwangi Indonesia by Azimatul Karimah, Soetjipto, Izzatul Fithriyah, Sheila Maryam Gautama, Agustina Sjenny, Adila Taufik Syamlan, Nindy Adhilah, Dina Faizatur Rahmah, Williana Suwirman, Virzi Aliyyah Rahma, Teisha Jediya Videlia Marantika, Rifat Nurwita Kusumaningtyas, Andyani Pratiwi, Rizka Solehah

“…Methods: This study used a quasi-experimental research design with a pre- and post-test one-group approach. …”
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System-Technology Co-Optimization of Multimetal Gated AlGaN/GaN HEMT for Improved RF Linearity by Toiyob Hossain, Tanvir Hossain, A. K. M. Anindya Alam, Bejoy Sikder, Qingyun Xie, Mengyang Yuan, Eiji Yagyu, Koon Hoo Teo, Tomas Palacios, Nadim Chowdhury

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Estimating petrophysical properties using Geostatistical inversion and data-driven extreme gradient boosting: A case study of late Eocene McKee formation, Taranaki Basin, New Zeala... by John Oluwadamilola Olutoki, Mohamed Elsaadany, Numair Ahmed Siddiqui, AKM Eahsanul Haque, Syed Haroon Ali, Alidu Rashid, Oluwaseun Daniel Akinyemi

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Winter Oilseed Rape LAI Inversion via Multi-Source UAV Fusion: A Three-Dimensional Texture and Machine Learning Approach by Zijun Tang, Junsheng Lu, Ahmed Elsayed Abdelghany, Penghai Su, Ming Jin, Siqi Li, Tao Sun, Youzhen Xiang, Zhijun Li, Fucang Zhang

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A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction by Anna Annunziata, Salvatore Cappabianca, Salvatore Capuozzo, Nicola Coppola, Camilla Di Somma, Ludovico Docimo, Giuseppe Fiorentino, Michela Gravina, Lidia Marassi, Stefano Marrone, Domenico Parmeggiani, Giorgio Emanuele Polistina, Alfonso Reginelli, Caterina Sagnelli, Carlo Sansone

“…Hospital overcrowding, driven by both structural management challenges and widespread medical emergencies, has prompted extensive research into machine learning (ML) solutions for predicting patient length of stay (LOS) to optimize bed allocation. …”
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Thalamic functional dysconnectivity in patients with left-hemisphere chronic capsular and pontine stroke by Jun Guo, Jun Guo, Hongchuan Zhang, Hongchuan Zhang, Jingchun Liu, Caihong Wang, Chen Cao, Jingliang Cheng, Chunshui Yu, Wen Qin

“…However, the differential involvements of thalamic functional connectivity in chronic capsular and pontine stroke are still unknown.MethodsThe research recruited 66 left-lesion chronic stroke patients, including 46 capsular strokes (CS) and 20 pontine stroke (PS) patients, and 67 normal controls (NC). …”
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ELM‐Wet: Inclusion of a Wet‐Landunit With Sub‐Grid Representation of Eco‐Hydrological Patches and Hydrological Forcing Improves Methane Emission Estimations in the E3SM Land Model... by Theresia Yazbeck, Gil Bohrer, Madeline E. Scyphers, Justine E. C. Missik, Oleksandr Shchehlov, Eric J. Ward, Sergio L. Merino, Robert Bordelon, Diana Taj, Jorge A. Villa, Kelly Wrighton, Qing Zhu, William J. Riley

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Estimating vastus lateralis muscle volume from a single ultrasound image by Moritz Eggelbusch, Guido Weide, Michael Tieland, Renske N. Vergeer, Luuk Vos, Jantine van den Helder, Stephan van der Zwaard, Richard T. Jaspers, Peter J. M. Weijs, Rob C. I. Wüst

“…Abstract The assessment of skeletal muscle volume is valuable for fundamental research and clinical practice, but remains limited in larger cohorts due to its time-consuming nature. …”
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Model of atomized droplets average particle size and verification of eco-friendly hybrid lubrication (CAMQL) by Mingzheng Liu, Changhe Li, Dongzhou Jia, Xin Liu, Yanbin Zhang, Min Yang, Xin Cui, Teng Gao, Yusuf Suleiman Dambatta, Runze Li

“…Under an air pressure of 0.4 MPa and an air flow temperature of −50 °C, the droplet particle size is 133.5 μm, with an error of 8.2%. The effect of air pressure on particle size is greater than that of air flow temperature. …”
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Estimation of physico-chemical properties of soil using machine learning by Patience Chizoba Mba, Opegbemi Matthias Busoye, John Temitope Ajayi, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, Rammohan Mallipeddi, Tusan Park, Daniel Dooyum Uyeh

“…The models were assessed on their ability to predict soil properties while minimizing error rates. The SVR model showed limited predictive performance, with its best results yielding slightly over 40 % R² and negative scores for physical properties. …”
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Using machine learning for air quality prediction and sustainable urban planning by M.A. Mujtaba, Muhammad Adeel Munir, Sheeraz Ali, Jana Petrů, Talha Ansar, Waiz Akhlaq, Muneeb Ahmad, Haseeb Iqbal, Faisal Ali, Muhammad Nasir Bashir, Theodosios Alexander

“…Two different evaluation performance criteria are deployed to evaluate these models: Root mean squared error (RMSE) and DTW for their overall performance metric. …”
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Clinical performance review for 3-D Deep Learning segmentation of stroke infarct from diffusion-weighted images by Freda Werdiger, Vignan Yogendrakumar, Milanka Visser, James Kolacz, Christina Lam, Mitchell Hill, Chushuang Chen, Mark W. Parsons, Andrew Bivard

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Demonstration of 50 Gbps Long-Haul D-Band Radio-over-Fiber System with 2D-Convolutional Neural Network Equalizer for Joint Phase Noise and Nonlinearity Mitigation by Yachen Jiang, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Jingwen Lin, Yuan Ma, Siqi Wang, Zhihang Ou, Wen Zhou

“…High demand for 6G wireless has made photonics-aided D-band (110–170 GHz) communication a research priority. Photonics-aided technology integrates optical and wireless communications to boost spectral efficiency and transmission distance. …”
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Quantitative determination of blended proportions in tobacco formulations using near-infrared spectroscopy and transfer learning by Qinlin Xiao, Qinlin Xiao, Ruifang Gu, Li Li, Jing Wen, Xixiang Zhang, Yi Shen, Yang Liu, Lan Xiao, Qinqin Tang, Jun Yang, Yong He, Juan Yang

“…To address this issue, this study takes the detection of blending proportions of tobacco silk in tobacco formulations as the research focus, and investigates transfer learning strategies aimed at enhancing the cross-brand adaptability of NIRS-based models. …”
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AI-optimized electrochemical aptasensors for stable, reproducible detection of neurodegenerative diseases, cancer, and coronavirus by Amira Elsir Tayfour Ahmed, Th.S. Dhahi, Tahani A. Attia, Fawzia Awad Elhassan Ali, Mohamed Elshaikh Elobaid, Tijjani Adam, Subash C.B. Gopinath

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A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network by Linlong Wang, Huaiqing Zhang, Kexin Lei, Tingdong Yang, Jing Zhang, Zeyu Cui, Rurao Fu, Hongyan Yu, Baowei Zhao, Xianyin Wang

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Direct Torque Control-Based Backstepping Speed Controller of Doubly Fed Induction Motors in Electric Vehicles: Experimental Validation by Ahmed Chantoufi, Aziz Derouich, Najib El Ouanjli, Said Mahfoud, Abderrahman El Idrissi, Ahmad F. Tazay, Mohamed I. Mosaad

“…To address this issue, another innovative aspect of the work involves focusing future efforts on implementing control approaches based on artificial intelligence methodologies, opening new research and innovation avenues.…”
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Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data by Z. Wang, Z. Wang, L. Bugliaro, K. Gierens, M. I. Hegglin, M. I. Hegglin, S. Rohs, A. Petzold, S. Kaufmann, C. Voigt, C. Voigt

“…The ANN method can be applied to other weather models to improve humidity predictions and to support aviation and climate research applications.</p>…”
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