AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

“…The results showed that, compared to the baseline, the carbon peak under the Economic Development Scenario will be delayed by three years, with an additional 92.74 Mt CO2; while under the Environmental Protection and Energy Transition Scenarios, the peak will be advanced by five and three years, with 106.48 and 73.86 Mt CO2 reductions, respectively. Leveraging multi-source data-driven AI models, this study efficiently provided reliable quantitative support for measuring policies with various priorities, emphasizing the necessity of implementing balanced energy transition strategies. …”
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Application of Rice Husk-Derived SBA-15 Bifunctionalized with C18 and Sulfonic Groups for Solid-Phase Extraction of Tropane, Pyrrolizidine, and Opium Alkaloids in Gluten-Free Bread by Fernando L. Vera-Baquero, Judith Gañán, Natalia Casado, Damián Pérez-Quintanilla, Sonia Morante-Zarcero, Isabel Sierra

“…Rice husk (RH), a globally abundant agri-food waste, presents a promising renewable silicon source for producing SBA-15 mesoporous silica-based materials. …”
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Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding by J.-M. Chang, J.-M. Chang, C.-M. Yang, W.-A. Chao, W.-A. Chao, C.-S. Ku, M.-W. Huang, M.-W. Huang, T.-C. Hsieh, C.-Y. Hung

“…Geohazard location further constrained the source location, indicating that Events 1 and 2 likely originated from the same slope. …”
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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts by Haochen Chen, Tao Liang, Kai Tan, Anan Wu, Xin Lu

“…Therefore, while employing GT-NMR or other graph-based methods for the rapid and routine prediction of NMR chemical shifts, it is advisable to utilize nSPS to assess their suitability. The source codes and trained model of GT-NMR are publicly available at GitHub. …”
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Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images by Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian

“…Utilizing remote sensing technology to accurately and efficiently extract paddy rice planting area is crucial for ensuring food security. …”
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Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

“…Clinical and Translational Impact Statement: This study uses LLMs to efficiently preprocess unstructured EHRs, improving dysphagia diagnosis and patient clustering. …”
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Robust growth of avirulent phase II Coxiella burnetii in bone marrow-derived murine macrophages. by Diane C Cockrell, Carrie M Long, Shelly J Robertson, Jeffrey G Shannon, Heather E Miller, Lara Myers, Charles L Larson, Tregei Starr, Paul A Beare, Robert A Heinzen

“…Results with NMII were recapitulated in primary macrophages where C57BL/6J Nramp1+ BMDM efficiently killed Salmonella enterica serovar Typhimurium. …”
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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT by Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke

“…In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. …”
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A Novel Cost-Effective Unmanned Ground Vehicle Platform for Robotics Education by Clyde Sanmig Domin D. Corpuz, Gilroy A. Cuaycong, Raffaello Giuliano D. Diño, Raphael C. Estacio, Gregg Angelo C. Señar, Alvin Y. Chua

“…This study demonstrates a novel unmanned ground vehicle platform suitable for educational robotics that is cost-effective, modular, and utilizes 3D-printed components. The methodology involved creating three UGV designs using Fusion 360 and implementing Finite Element Analysis (FEA) testing in ANSYS to identify potential failure points. …”
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Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses by Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Ratan Lal, Md. Selim Reza, Fahad Alsharari, Mohamed AbdelMongy, Masuk Abdullah

“…A total of 441 data entries were sourced from various publications. Multiple machine learning techniques, such as light gradient boosting (LGB), extreme gradient boosting (XGB), and decision trees (DT), along with hybrid approaches like XGB-LGB and XGB-DT, were utilized to study how these variables influence compressive strength. …”
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Diversidad genética y contenido de carotenos totales en accesiones de yuca (Manihot esculenta Crantz) Genetic diversity and total carotene content in accessions of the cassava (Man... by Ana Cruz Morillo C., Yacenia Morillo C., Martín Fregene, Hernando Ramírez, Alba Lucía Chávez, Teresa Sánchez, Nelson Morante, Hernán Ceballos L

“…It is an important dietary source for humans in tropical countries. Carotenoids are natural pigments that are widely distributed in the nature, where about 50 of them have provitamin A activity, b-carotene has been the most efficient. …”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

“…This comprehensive metadata index enables researchers and developers to efficiently access, organize, and utilize the UrduSER dataset. …”
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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…This can be detrimental to road users, therefore it is necessary to detect traffic events accurately and efficiently. Currently, Twitter is used as a source of information to detect an incident. …”
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MALDI imaging mass spectrometry differentiates basal cell carcinoma from trichoblastoma and trichoepithelioma: A proof of principle study. by Jennifer M C Ranes, Jessica L Moore, Nathan H Patterson, Sarah P Nicholson, Sara Kantrow, Jason Robbins, Richard M Caprioloi, Jeremy L Norris, Rami N Al-Rohil

“…This study aims to address the challenges of traditional histopathological evaluation by utilizing matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI IMS).…”
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Fire and Ice in the Whirlpool: Spatially Resolved Scaling Relations between X-Ray-emitting Hot Gas and Cold Molecular Gas in M51 by Chunyi Zhang, Junfeng Wang, Tian-Wen Cao

“…We demonstrate that the core-collapse supernovae (SNe) are the primary source of energy for heating gas in the galactic center of M51, leading to the observed steep ${L}_{0.5-2\,{\rm{keV}}}^{{\rm{gas}}}$ – L _IR and ${L}_{0.5-2\,{\rm{keV}}}^{{\rm{gas}}}$ – ${L}_{{\rm{gas}}}^{{\rm{{\prime} }}}$ relations, as their X-ray radiation efficiencies ( η  ≡  ${L}_{0.5-2\,{\rm{keV}}}^{{\rm{gas}}}$ / ${\dot{E}}_{{\rm{SN}}}$ ) increase with the star formation rate surface densities (Σ _SFR ), where ${\dot{E}}_{{\rm{SN}}}$ is the SN mechanical energy input rate.…”
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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem by Junhee Lee, Heechan Chae, Seungwook Son, Jongwoong Seo, Yooil Suh, Jonguk Lee, Yongwha Chung, Daihee Park

“…As global pork consumption rises, livestock farms increasingly adopt deep learning-based automated monitoring systems for efficient pigsty management. Typically, a system applies a pre-trained model on a source domain to a target domain. …”
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DA+BMAC: Distance-Aware Bidirectional Medium Access Control for Mesh Wireless Network-on-Chip by Mohd Shahrizal Rusli, Asrani Lit, Muhammad Nadzir Marsono, Ab Al-Hadi Ab Rahman, Shahidatul Sadiah, Michael Loong Peng Tan, Suhaila Isaak, Norlina Paraman

“…Conventional WiNoC MAC typically utilizes a daisy-chained ring topology, which limits wireless channel performance due to maximum waiting times when a radio hub misses the token before packet arrival. …”
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