SCAT: Shift Channel Attention Transformer for Remote Sensing Image Super-Resolution by Yingdong Kang, Xuemin Zhang, Shaoju Wang, Guang Jin

“…Channel attention (CA)-based Transformers offer an efficient approach with linear complexity by computing self-attention across the channel dimension. …”
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A novel FFA‐GWO‐based optimization paradigm for solving a dynamic economic emission dispatch in power plants by Raheel Chan Zab Mughal, Usman Nawaz, Saghir Ahmed, Sidra Mumtaz, Muhammad Waseem, Ahmed Mohammed Saleh

“…Metaheuristic techniques offer several benefits to solving complex problems such as being robust, efficient, and overall, less affected by an increase in problem size. …”
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Use of Model‐Based Meta‐Analysis to Inform the Design of Early Clinical Trials of Anti‐Amyloid Beta Therapies in Alzheimer's Disease by Sagar S. Bachhav, Ana Victoria Ponce‐Bobadilla, Diana Clausznitzer, Sven Stodtmann, Hao Xiong

“…ABSTRACT To inform an efficient development of new investigational anti‐amyloid beta (anti‐Aβ) monoclonal antibodies (mAbs), a modeling‐and‐simulation‐based strategy was proposed. …”
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Analysis of Cannabinoids in Oil by Janis Vella Szijj, Lovely L. Gallo, Paul I. Buhagiar, Karolina Szyrner, Nicolette Sammut Bartolo, Simone Ronsisvalle, Anthony Serracino Inglott, Lilian M. Azzopardi

“…Method: The study was divided into three phases: (1) systematic literature search on the analysis of cannabinoids in oils, (2) development and validation of a rapid and efficient high-performance liquid chromatography (HPLC)-ultraviolet (UV) method for the determination of THC in medium-chain triglyceride (MCT) oil, and (iii) green assessment of methods for the determination of cannabinoids in oil. …”
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Graph Neural Network for In-Network Placement of Real-Time Metaverse Tasks in Next-Generation Networks by Sulaiman Muhammad Rashid, Ibrahim Aliyu, Il-Kwon Jeong, Tai-Won Um, Jinsul Kim

“…To address this, the optimal ILP solutions train a GNN offline, enabling fast, efficient placement decisions at runtime. The proposed GNN framework captures connected and isolated node interactions, facilitating dynamic adaptation to network conditions. …”
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Machine Learning-Based Prediction of Feed Conversion Ratio: A Feasibility Study of Using Short-Term FCR Data for Long-Term Feed Conversion Ratio (FCR) Prediction by Xidi Yang, Liangyu Zhu, Wenyu Jiang, Yiting Yang, Mailin Gan, Linyuan Shen, Li Zhu

“…Feed conversion ratio (FCR) is a critical indicator of production efficiency in livestock husbandry. Improving FCR is essential for optimizing resource utilization and enhancing productivity. …”
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Rapid Mental Stress Evaluation Based on Non-Invasive, Wearable Cortisol Detection with the Self-Assembly of Nanomagnetic Beads by Junjie Li, Qian Chen, Weixia Li, Shuang Li, Cherie S. Tan, Shuai Ma, Shike Hou, Bin Fan, Zetao Chen

“…With the rapid attraction of magnets to nanomagnetic beads, the sensing element can be rapidly replaced on the electrode uniformly, which can lead to extreme improvements in detection efficiency. The detected linear response to cortisol was 0–32 ng/mL. …”
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Enhancing Project Delivery in Gaindakot Municipality, Nepal, Through the Bromilow Time-Cost Model: A Strategic Mitigation Approach by Kandel Shankar, Sigdel Sandesh

“…A statistically significant positive correlation was found, with a linear regression model showing a strong association (R² = 0.836) between the two variables. …”
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Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat by Sehijpreet Kaur, Vijaya Gopal Kakani, Brett Carver, Diego Jarquin, Aditya Singh

“…Abstract Uncrewed aerial vehicles (UAVs) are a highly successful and efficient method for phenotyping in plant breeding programs. …”
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Implantable bio-chip for visible and controllable microwave-induced transcranial acoustic generation by Weian Chao, Ruyi Wen, Yubin Gong, Qiang Liu, Lei Xi

“…The experimental results demonstrate that the optimal MI-tAG can be realized by the combination of particles arranged in a linear pattern and corresponding illumination via a linearly polarized microwave. …”
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Attomolar electrochemical direct and sandwich immunoassays for the ultrasensitive detection of tomato brown rugose fruit virus by Negin Rezaei, Ahmad Moshaii, Mohammad Reza Safarnejad, Reza H. Sajedi, Mahsa Rahmanipour, Masoud Shams-Bakhsh

“…The immunoassays were assembled on a nanoporous gold electrode, providing an enhanced electroactive surface for efficient antigen capture and signal amplification. …”
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Automated grading of oleaster fruit using deep learning by Aram Azadpour, Kaveh Mollazade, Mohsen Ramezani, Hadi Samimi-Akhijahani

“…As global demand rises, there is a growing need for efficient automated grading methods. Therefore, this study aimed to develop a real-time machine vision system for classifying oleaster fruit at various grading velocities. …”
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GoldPolish-target: targeted long-read genome assembly polishing by Emily Zhang, Lauren Coombe, Johnathan Wong, René L. Warren, Inanç Birol

“…Coupled with GoldPolish, a linear-time genome assembly algorithm, GoldPolish-Target isolates and polishes user-specified assembly loci, offering a resource-efficient means for polishing targeted regions of draft genomes. …”
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Data-Driven Dynamic Optimization for Hosting Capacity Forecasting in Low-Voltage Grids by Md Tariqul Islam, M. J. Hossain, Md Ahasan Habib

“…Dynamic Operating Envelopes (DOE) provide real-time constraints for power import/export to the grid, ensuring dynamic DER integration and efficient network operation. However, conventional HC analysis and forecasting approaches struggle to capture temporal dependencies, the impact of DOE constraints on network operation, and uncertainty in DER output. …”
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Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic by Alfredo Madrid-García, Dalifer Freites-Núñez, Beatriz Merino-Barbancho, Inés Pérez Sancristobal, Luis Rodríguez-Rodríguez

“…To better characterize the research landscape and advances in rheumatology, automatic and efficient approaches based on natural language processing (NLP) should be used. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…By integrating deep learning in durability assessments, this study can provide a scalable, efficient solution for optimizing maintenance planning and reducing premature failures in coastal RC structures, ultimately extending their service life.…”
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Dendritic Gold Nanoparticles Loaded on 3D Graphene-like Surface and Layer-by-Layer Assembly for Enhanced Glucose Biosensing by Zifeng Zhu, Yiming Zhao, Yongming Ruan, Xuexiang Weng, Gesmi Milcovich

“…Conclusions: These findings highlight the potential of the GOD/chit⁺/PEDOT/AuDNs/EPLE composite electrode in the development of efficient enzymatic biofuel cells for glucose sensing and energy harvesting applications.…”
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Experimental and Computational Study of the Formation of Composite Granular Fuel by L. N. Ovchinnikov, N. L. Ovchinnikov, A. V. Mitrofanov, S. V. Vasilevich, S. V. Shpeynova

“…These circumstances practically make stable and efficient operation of automation systems, mechanization of transportation of pellets, and technological processes of boilers impossible. …”
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Cover Crop Types Influence Biomass Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors by Sk Musfiq Us Salehin, Chiranjibi Poudyal, Nithya Rajan, Muthukumar Bagavathiannan

“…These findings demonstrate the potential of high-resolution multispectral imaging for efficient biomass assessment in precision agriculture.…”
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Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering by Mohammad Abboush, Christoph Knieke, Andreas Rausch

“…The approach is capable of automatically detecting and clustering the faults in an efficient manner considering the noisy conditions. …”
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