Predictors for estimating subcortical EEG responses to continuous speech. by Joshua P Kulasingham, Florine L Bachmann, Kasper Eskelund, Martin Enqvist, Hamish Innes-Brown, Emina Alickovic

“…Crucially, computing predictors from these simpler models is more than 50 times faster compared to the complex model. This work paves the way for efficient modelling and detection of subcortical processing of continuous speech, which may lead to improved diagnosis metrics for hearing impairment and assistive hearing technology.…”
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Depositing Pt nanoparticles on crumpled Ti3C2Tx for enhanced electrochemical sensing by Huaqing Chen, Tianshu Chu, Shundong Ge, Bowei Zhang, Fu-Zhen Xuan, Rui Yin

“…However, realizing highly selective and sensitive detection of dopamine in complex biological environments remains a challenge. …”
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GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

“…Here we propose a computationally efficient algorithm (GUESS) to explore complex genetic-association models and maximize genetic variant detection. …”
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Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework by Zeina Allaw, Ola Zein, Abdel-Mehsen Ahmad

“…Within the dynamic landscape of fifth-generation (5G) and emerging sixth-generation (6G) wireless networks, the adoption of network slicing has revolutionized telecommunications by enabling flexible and efficient resource allocation. However, this advancement introduces new security challenges, as traditional protection mechanisms struggle to address the dynamic and complex nature of sliced network environments. …”
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Comparative Study on Rail Damage Recognition Methods Based on Machine Vision by Wanlin Gao, Riqin Geng, Hao Wu

“…With the rapid expansion of railway networks and increasing operational complexity, intelligent rail damage detection has become crucial for ensuring safety and improving maintenance efficiency. …”
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Recent Facial Image Preprocessing Techniques: A Review by Rendra Soekarta, Ku Ruhana Ku-Mahamud

“…As the demand for more robust, fair, and efficient systems grows, developing domain-specific preprocessing methods and adopting cutting-edge artificial intelligence technologies will be vital to meet the challenges of increasingly complex applications.…”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

“…These innovations collectively advance crack segmentation technology and provide a new solution for efficient crack detection in practical applications.…”
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A versatile HPLC method collaborated with NaDES-ultrasound-assisted LLE and machine learning for purity testing and trace analysis of 1,4-benzodiazepines in crime scene evidence, h... by Walaa Nabil Abd-AlGhafar, Rasha Abo Shabana, Rania El-Shaheny, Manar M. Tolba

“…Therefore, the development of a fast, versatile, and high throughput method for the analysis of these compounds in hospital effluent and food samples from crime scenes is of paramount importance. However, efficient extraction from such complex matrices usually requires large volumes of toxic organic solvents, lengthy time, and high cost. …”
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A high performance laser induced graphene (LIG) dual biosensor for simultaneous monitoring of glucose and lactate by Hassan Hamidi, Richard Murray, Vincenzo Vezzoni, Somayyeh Bozorgzadeh, Alan O'Riordan, Daniele Pontiroli, Mauro Riccò, Aidan J. Quinn, Daniela Iacopino

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Innovative Applications of Nanopore Technology in Tumor Screening: An Exosome-Centric Approach by Heng Chi, Liuxin Shi, Songlin Gan, Guangyi Fan, Yuliang Dong

“…However, traditional methods for exosome isolation and detection are often limited by inadequate sensitivity, specificity, and efficiency. …”
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Terahertz Spectroscopy for Food Quality Assessment: A Comprehensive Review by Jie Yang, Xue Bai, Mingji Wei, Hui Jiang, Leijun Xu

“…Its unique penetration, high sensitivity, and low photon energy characteristics, combined with chemometrics and machine learning methods, provide an efficient solution for the qualitative and quantitative analysis of complex food ingredients. …”
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Development of a method for automated 5G and beyond network slices penetration testing by Roman Odarchenko, Maksim Iavich, Alla Pinchuk

“…The following results were obtained: 1) the new method for automated 5G and beyond network slices penetration testing was developed, leveraging Genetic Algorithms to optimize attack strategies; 2) a software tool for automating penetration testing was implemented, enabling efficient detection of critical and high-severity vulnerabilities and simulating attacks in a complex 5G network environment; 3) a test network architecture was created for experimentation, enabling a controlled evaluation of the methodology; 4) the experimental results demonstrated the effectiveness and operability of the proposed method. …”
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HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method by Haiyan Tu, Zhengkun Qiu, Kang Yang, Xiaoyue Tan, Xiujuan Zheng

“…Our method significantly enhances the real-time performance and efficiency of human pose estimation while maintaining high accuracy, offering an optimal solution for applications in complex environments.…”
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Performance of Fine-Tuning Techniques for Multilabel Classification of Surface Defects in Reinforced Concrete Bridges by Benyamin Pooraskarparast, Son N. Dang, Vikram Pakrashi, José C. Matos

“…Despite advances in defect detection using convolutional neural networks (CNNs), although challenges such as overlapping defects, complex surface textures, and data imbalance remain difficult, full fine-tuning of deep learning models helps them better adapt to these conditions by updating all the layers for domain-specific learning. …”
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Method for assessing rodent infestation in plateau based on SegFormer. by Xiangjie Huang, Guoying Zhang, Chunmei Li, Yaosheng Han, Qing Dong, Hao Wang

“…To assess rodent infestation on the plateau, there is an urgent need for a scientifically sound and effective method to detect the distribution of rodent burrows. In response, this study proposes a semantic segmentation approach utilizing the SegFormer model to detect rodent infestation in highland areas. …”
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Cognitive assessment across normal aging and subjective cognitive decline using PGIMS and Stroop color-word test: A cross-sectional study by Akshata Rao, Abhijith R Rao, Bhawana Painkra, Sakthi Kiruthika, Sunil Kumar, Meenal Thakral, Swati Bajpai, Shodhan Aithal, Aparajit Ballav Dey, Prasun Chatterjee

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Research advances in polysaccharide utilization loci of rumen microorganism by GAO Ge, WANG Jiakun

“…Bacteroidetes are highly abundant in rumen and are considered as efficient degraders of polysaccharides, which can use PULs to arrange the detection, sequestration, digestion of complex carbohydrates. …”
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Fault-tolerant quantum architectures based on erasure qubits by Shouzhen Gu, Alex Retzker, Aleksander Kubica

“…We numerically estimate the memory thresholds for the circuit noise model that includes spreading (via entangling operations) and imperfect detection of erasures. Our results demonstrate that, despite being slightly more complex, QEC schemes based on erasure qubits can significantly outperform standard approaches.…”
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Aspects of Electrochemical Biosensors Using Affinity Assays by Thor Pedersen, Leonid Gurevich, Nils E. Magnusson

“…This impedes the broad commercial implementation of biosensors in, e.g., Point-of-Care (PoC) settings where ease of operation, portability, and cost-efficiency are prioritized. Small, robust electrochemical biosensors are a promising alternative for analyzing biomarkers in complex samples within PoC environments. …”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…Precise 3D representations of complex and dynamic site geometries is essential for obstacle detection, progress monitoring, and safe operation. …”
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