Eco-friendly HPTLC method for Trifluridine and Tipiracil determination: Quality-by-design meets green analytical chemistry by Amruta Balekundri, Eknath D. Ahire, Rakesh U. Shelke, Dinesh D. Rishipathak, Sanjay J. Kshirsagar

“…Environmental sustainability was assessed using ComplexGAPI, AGREE, and BAGI tools. The developed method achieved an AGREE score of 0.81, an Eco-Scale score of 86, and a BAGI score of 80, highlighting its eco-friendliness and practical applicability. …”
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Constraining CMIP6 simulations for Atlantic Water in the Arctic using an AMOC-SST index by Marion Devilliers, Steffen M. Olsen, Helene R. Langehaug, Chuncheng Guo, Rashed Mahmood, Tian Tian, Shuting Yang

“…However, these models are too coarse to resolve key ocean processes and to address the complex interplay between ocean dynamics and the bathymetry of the Arctic region. …”
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Dual-stream detection and segmentation framework for vision based unmanned ground vehicle pothole perception on unstructured roads by Chenyuan He, He Yang, Zhouyu Zhang, Hai Wang, Yingfeng Cai, Long Chen, Can Zhong, Yiqun Zhang

“…Compared with state-of-the-art baselines such as YOLOv8 and DeepLabv3+, the proposed method achieves +5.1% and +3.4% improvements in detection F1-score and segmentation IoU, respectively, highlighting its superior performance and practical value in complex terrain perception scenarios.…”
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Advanced hybrid deep learning model for enhanced evaluation of osteosarcoma histopathology images by Arezoo Borji, Arezoo Borji, Arezoo Borji, Gernot Kronreif, Bernhard Angermayr, Bernhard Angermayr, Sepideh Hatamikia, Sepideh Hatamikia

“…Techniques such as deep learning, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are now enabling the precise analysis of complex histopathological images, automating detection, and enhancing classification accuracy across various cancer types. …”
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Construction of Q&A methods based on knowledge graphs and large language models-improving the accuracy of landscape pest and disease Q&A by Zhixin Gu, Ting Long, Shuairan Wang, Xiaowei Shang, Weizheng Shen, Xiaoli Wei, Kaihong Xu

“…Identify key entities and relationships to construct a conceptual pattern layer. Applying the ERNIE-BiLSTM-CRF model to extract knowledge from unstructured data. …”
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MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images by Shengbang Zhou, Song Zhang, Chuanqi Li, Shutian Liu, Dong Chen

“…Due to complex backgrounds, significant scale variations of targets, and dense distributions of small objects in Unmanned Aerial Vehicle (UAV) aerial images, traditional object detection algorithms face challenges in adapting to such scenarios. …”
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Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method by Nasser Keshavarz Faraj Khah, Bahare Salehi, Pooria Kianoush, Shahab Varkouhi

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Numerical simulation of seismicity potential resulting from the injection of CO2 into depleted reservoir in Wilbarger County field, Texas by Dorcas S. Eyinla, Hossein Emadi, Steven K. Henderson, Humza Bin Navaid, Abir Kebir, Aman Arora

“…The model effectively captures the complex interplay between geological features and fault failure processes. …”
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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…Karst collapse, a sudden geological hazard with complex mechanisms and low predictability, presents significant threats to urban safety and sustainable development by jeopardizing human lives and infrastructure. …”
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Do domain-specific protein language models outperform general models on immunology-related tasks? by Nicolas Deutschmann, Aurelien Pelissier, Anna Weber, Shuaijun Gao, Jasmina Bogojeska, María Rodríguez Martínez

“…In recent years, the development of protein language models (PLMs) has facilitated the development of bioinformatic pipelines where complex amino acid sequences are transformed into vectorized embeddings, which are then applied to a range of downstream analytical tasks. …”
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Methods for Detection, Extraction, Purification, and Characterization of Exopolysaccharides of Lactic Acid Bacteria—A Systematic Review by Manoj Kumar Yadav, Ji Hoon Song, Robie Vasquez, Jae Seung Lee, In Ho Kim, Dae-Kyung Kang

“…Exopolysaccharides (EPSs) are large-molecular-weight, complex carbohydrate molecules and extracellularly secreted bio-polymers released by many microorganisms, including lactic acid bacteria (LAB). …”
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Enabling Quantum-Resistant EDHOC: Design and Performance Evaluation by Lidia Pocero Fraile, Georgios Tasopoulos, Christos Koulamas, Raymond K. Zhao, Nazatul Haque Sultan, Francesco Regazzoni, Apostolos P. Fournaris

“…PQC operations often involve complex computations and require larger byte sizes, which can challenge resource-constrained devices designed for lightweight operation in constrained network environments. …”
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Direct 3D printing of bilayered scaffold for subchondral plate regeneration by Sena Su Torun, Mehmet Murat Bozdag, Savas Evran, Elif Ilhan, Ayse Ceren Calikoglu Koyuncu, Oguzhan Gunduz, Cem Bulent Ustundag

“…Mechanical characterization revealed distinct tensile strength and stiffness gradients between the bone layer (BL) and the calcified cartilage layer (CCL). …”
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Isolation and biological characteristics analysis of a bacteriophage of Enterococcus faecalis by WANG Jinli, YIN Hongmei, ZHU Chenglin, CAI Zijian, CHEN Juan, TANG Junni

“…The titer of bacteriophages was determined using the double-layer plate method. The morphology of bacteriophage was observed by transmission electron microscopy； the bacteriophage lysis profiles， optimal infection complex， and one-step growth curve were determined； the effects of pH， UV irradiation， temperature， and organic solvents on bacteriophages have been studied. …”
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ResT-IMU: A Two-Stage ResNet-Transformer Framework for Inertial Measurement Unit Localization by Yanping Zhu, Jianqiang Zhang, Wenlong Chen, Chenyang Zhu, Sen Yan, Qi Chen

“…To address the challenges of accurate indoor positioning in complex environments, this paper proposes a two-stage indoor positioning method, ResT-IMU, which integrates the ResNet and Transformer architectures. …”
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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…Subsequently, to achieve more accurate target recognition, a new detection head is designed by replacing the original convolutional layer and utilizing the reparameterization technique, which enhances recognition performance in complex scenes. …”
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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

“…However, the modeling of polarimetric values and radar signatures such as the <span class="inline-formula"><i>Z</i>_DR</span> column (ZDRC) remains a complex issue, despite the diversity of microphysics schemes and forward operators, especially above the freezing level where values that are too low are often found.…”
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IDENTIFYING THE BASEMENT STRUCTURE OF THE SULA FAULT ZONE IN THE BANGGAI-SULA MICROCONTINENT REGION, MOLUCCA SEA, BASED ON 2D GRAVITY INVERSION MODELLING USING PARTICLE SWARM OPTIM... by Cahya Damayanti, Sismanto Sismanto, Ari Setiawan, Lina Handayani

“…This is an active fault, with a few earthquakes in the last two decades. As a complex active fault, this presents several questions, particularly about the fault’s structure. …”
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Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

“…The experimental outcomes highlight significant advancements in convergence rates and error reduction, particularly in complex models like 3-layer-wrapped Bidirectional Long Short-Term Memory (3wBiLSTM). …”
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Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration by T. A. Rajaperumal, C. Christopher Columbus

“…This study addresses key research gaps in wind energy forecasting, including the inability of traditional statistical models to capture complex, nonlinear temporal patterns, the underutilization of real-time, location-specific data, the lack of comparative analyses across diverse models and datasets, and the absence of systematic model selection strategies for future forecasting. …”
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