Recent advances in bio-microsystem integration and Lab-on-PCB technology by Sotirios Papamatthaiou, Pavlos Menelaou, Bilal El Achab Oussallam, Despina Moschou

“…This platform facilitates the seamless integration of microfluidics, sensors, and actuators within a single device, enabling complex, multifunctional systems suitable for real-world deployment. …”
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Metabolomic Biomarkers Differentiate Soy Sauce Freshness under Conditions of Accelerated Storage by Thiruchelvi R. Reddy, Katherine A. Overmyer, Joshua J. Coon, MaryAnne Drake, Taro Horiba, Scott A. Rankin

“…We present a metabolomic approach for the analysis of complex food systems capable of differentiating a quantifiable extrinsic variable, which is, in this case, storage time with a correlation coefficient of 0.99. …”
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A Hybrid Deep Learning Framework for Accurate Cell Segmentation in Whole Slide Images Using YOLOv11, StarDist, and SAM2 by Julius Bamwenda, Mehmet Siraç Özerdem, Orhan Ayyıldız, Veysı Akpolat

“…Accurate segmentation of cellular structures in whole slide images (WSIs) is essential for quantitative analysis in computational pathology. However, the complexity and scale of WSIs present significant challenges for conventional segmentation methods. …”
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Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm by Cao Yi, Zhang Jingtao, Zhao Pu, Li Lei, Guo Yinhui

“…Aiming at the fact that the RRT algorithm based on the target bias is easy to fall into local search and has a low search efficiency in complex environment, further improvement is made in the ROS based on the Dobot model and the DIY model. …”
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A 3-D Parallel Method of PSTD-Based Reverse Time Migration of GPR Data by Lingjia Huang, Bowen Ma, Qinghua Huang

“…The above superiority in computation efficiency and imaging robustness demonstrates that our new method has great potential in broadening the GPR applications, especially the cases for quasi-real-time detection and complex structure imaging.…”
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Autonomous defect estimation in aluminum plate and prognosis through stochastic process modeling by Mrudul Jambulkar, Shivam Ojha, Amit Shelke, Anowarul Habib

“…Abstract The structural integrity and longevity of aluminum alloy components in lightweight engineering require accurate and efficient damage detection and prognosis methods. Traditional supervised machine learning (ML) techniques often face limitations due to dependency on large datasets, risk of overfitting, and high computational costs. …”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…This protocol proved to be an efficient alternative to assess TORC1 pathway activation compared to techniques based on immunoblot detection, which, although effective, are considerably more laborious. …”
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Toward sustainability and digital resilience: A circular economy cybersecurity framework for seaports by Chalermpong Senarak

“…Notably, the deployment of modular detection systems and energy-efficient tools extends the lifecycle of technological assets, reducing environmental impact and aligning with CE objectives. …”
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Nano-/Microrobots for Environmental Remediation in the Eyes of Nanoarchitectonics: Toward Engineering on a Single-Atomic Scale by Anna Jancik-Prochazkova, Katsuhiko Ariga

“…Nano-/microrobots have been demonstrated as an efficient solution for environmental remediation. Their strength lies in their propulsion abilities that allow active “on-the-fly” operation, such as pollutant detection, capture, transport, degradation, and disruption. …”
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing by Pouya Sohrabipour, Chaitanya Kumar Reddy Pallerla, Amirreza Davar, Siavash Mahmoudi, Philip Crandall, Wan Shou, Yu She, Dongyi Wang

“…The well-registered depth data generated were integrated with the RGB images and sent to the instance segmentation model for individual chicken detection and identification. This enhanced approach significantly improved the model’s performance in handling complex scenarios involving overlapping chickens. …”
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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…The study’s main contribution lies in integrating these optimization techniques with ML classifiers, significantly improving phishing detection accuracy while reducing computational complexity. …”
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Interleukin-15 and cancer: some solved and many unsolved questions by Gabriella Pietra, Lorenzo Moretta, Nicola Tumino, Piera Filomena Fiore, Sabina Di Matteo, Francesca Romana Mariotti, Selene Ottonello, Simone Negrini, Barbara Bottazzi, Erwan Mortier, Bruno Azzarone

“…In cancer, the overproduction of sIL-15/IL-15Rα could represent a novel mechanism of immune escape. The soluble complex may act as a decoy cytokine unable to efficiently foster NK cells, or could induce NK hyporesponsiveness through an excessive and prolonged stimulation depending on the type of IL-15Rα isoforms associated. …”
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A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…Accurate segmentation of skin lesions is essential for early detection and successful treatment, yet many current techniques struggle to balance computational efficiency with the ability to capture complex lesion features. …”
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A Comparative Analysis of IMUs and Optical Systems in Layup Shot Biomechanics by Nuha Alkhalaf, Matthew T. G. Pain, Michael J. Hiley

“…The purpose of this study was to assess the validity and reliability of an inertial measurement unit (IMU) system against an optical motion capture system in detecting motion in the dynamically complex and constraint-governed task of the basketball layup shot. …”
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Improved identification and tracking of three-dimensional eddies in the Southern Ocean utilizing 3D-U-Res-Net by Chang Liu, Xiayan Lin, Xiayan Lin, Guangjun Xu, Guangjun Xu, Guoqing Han, Yu Liu

“…Accurate characterization of their three-dimensional structures and movement is essential for a quantitative analysis of their transport processes. Traditional eddy detection algorithms have lower successful detection rate and with more limitations, so they fall short in the complex and dynamic ocean environment. …”
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Fast Reflectance Spectral Profile Reconstruction Method for Full-waveform Hyperspectral LiDAR by Hui SHAO, Hulong ZHANG, Hui DAI, Yuwei CHEN, Long SUN, Heng XU, Xingyun LI

“…To obtain the target reflectance spectral profile, a common solution is to correct the echo intensity (standard reference correction method) using standard diffuse reflectance whiteboards. However, in complex detection environments, whiteboards are susceptible to contamination, and the transmitting intensity of the laser may fluctuate due to changes in the environment and equipment conditions, which may potentially impact the calculation accuracy. …”
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Recycling of Lithium Iron Phosphate Batteries: From Fundamental Research to Industrialization by Yue Wang, Xiaohong Zheng, Dingshan Ruan, Shili Zheng, Hongbin Cao, Changdong Li, Zhi Sun

“…It concludes that direct regeneration has greater application potentials but remains at an initial research stage while indirect regeneration is suitable for situations with complex raw materials or high-value resource reserves. …”
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A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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Tracking Oral Nanoparticle Uptake in Mouse Gastrointestinal Tract by Fluorescent Labeling and t-SNE Flow Cytometry by Rabeya Mow, Michal Kuczma, Xiaodi Shi, Didier Merlin, Chunhua Yang

“…By integrating optimized fluorochrome selection and gating strategies with advanced t-distributed stochastic neighbor embedding (t-SNE) analysis, this method enables precise identification and multidimensional visualization of LNP-targeted epithelial and macrophage populations under the complex conditions of inflamed colon tissue. Building on our previous studies demonstrating the effectiveness of nanoparticles in targeted drug delivery, this approach highlights the utility of flow cytometry for assessing uptake efficiency and cellular targeting. …”
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Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…There are many kinds of glycans, the most common being N-glycans, which can be arranged into three classes, that is, complex, hybrid, and high mannoses, forming a structurally very diverse set of polar compounds that are difficult to detect and separate. …”
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