Elastic Relaxation of Coherent InGaN/GaN Interfaces at the Microwire LED Sidewall by Jongil Kim, Jinwook Yeo, Bumsu Park, Jeehun Jeong, Seunghwa Ryu, Sang Ho Oh

“…An analytical model is developed based on the Airy stress function, which incorporates the superposition of alternating in‐plane pre‐stress and the image stress to satisfy the boundary condition. The resultant complex strain fields in microscale LEDs, where surface emission is dominant, alter strain‐induced piezoelectric polarization near the surface, significantly affecting electro‐optical efficiency and resulting in spectral broadening and/or wavelength shifts in emitted light.…”
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Biofilm in endodontics Part I. Properties and methods of study  (review of the literature)

“…In the root canal system (RCS), the organization of microflora in biofilms has also been detected. Complex structure and individual variability of RCS in combination with unique properties of biofilm make disinfection of this system problematic. …”
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Improved Algorithm for Analysis of DNA Sequences Using Multiresolution Transformation by T. M. Inbamalar, R. Sivakumar

“…Existing digital signal processing (DSP) methods provide less accurate and computationally complex solution with greater background noise. Hence, improvements in accuracy, computational complexity, and reduction in background noise are essential in identification of the protein coding regions in the DNA sequences. …”
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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Traditional auditing methods have difficulties in detecting various financial issues hidden in massive amounts of data. …”
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Sensing-Aided Communication Method for Distributed Radar Communication System by Xinren Wang, Sisi Xia, Zhongzheng Ding, Qin Wang, Wenchao Xia, Haitao Zhao

“…Numerical simulation results show that this scheme can achieve excellent performance in complex real-world environments. This work contributes to the development of efficient ISAC solutions and provides insights for future research into 6G technologies.…”
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Baculovirus superinfection: a probable restriction factor on the surface display of proteins for library screening. by Xiaodong Xu, Yuanrong Chen, Yu Zhao, Xiaofen Liu, Beitao Dong, Ian M Jones, Hongying Chen

“…Our data demonstrate that Sf9 cells were easily super-infectable during baculovirus infection, and super-infection could occur simultaneously at the time of the primary infection or subsequently during secondary infection by progeny viruses. The efficiency of super-infection may explain the difficulties of baculovirus display library screening but would benefit the production of complex proteins requiring co-expression of multiple polypeptides.…”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The method was tested using the Rosario dataset, which includes scenarios representative of complex agricultural environments. (Results and discussion) The proposed depth map reconstruction method demonstrates a significant improvement in quality metrics. …”
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Comparison of Radio Interferometers with Analog and Digital Extraction of Recorded Signal by N. E. Kol'tso, S. A. Grenkov, L. V. Fedotov

“…An ability to connect the RT-13 radio telescope to the “Quasar” VLBI complex and to international VLBI networks provides by a digital narrow-band signal extraction module developed in 2019.Aim. …”
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SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images by Parvathaneni Naga Srinivasu, Gorli L. Aruna Kumari, D. Jaya Kumari, Paolo Barsocchi, Akash Kumar Bhoi

“…SegAN demonstrated superior performance compared to traditional segmentation approaches, achieving an accuracy of 98.5%, and a dice coefficient of 0.936 in caries detection.…”
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Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes by Qifeng Lin, Nghia Vuong, Kewei Song, Phuoc Thanh Tran-Ngoc, Greg Angelo Gonzales Nonato, Hirotaka Sato

“…Abstract Insect–computer hybrid robots offer strong potential for navigating complex terrains. This study identified the intersegmental membrane between the pronotum and mesothorax of the Madagascar hissing cockroach as an effective site for electrical stimulation to control direction and speed. …”
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Individual identification of wild raptors using a deep learning approach: A case study of the white-tailed eagle by Xi Guo, Yufeng Chen, Yu Guan, Hongfang Wang, Tianming Wang, Jianping Ge, Lei Bao

“…Our framework could improve the accuracy of identifying individuals in complex wild environments, offering a promising method for population detection and conservation research involving wild animals.…”
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SYSTEM AND ALGORITHM OF INTELLIGENT BIOMEDICAL SIGNAL PROCESSING AND ANALYSIS FOR HUMAN HEALTH STATUS REMOTE MONITORING SYSTEM by Nguyen Trong Tuyen, Tran Trong Huu, Nguyen Mau Thach, Zafar M. Yuldashev

“…A specific feature of such algorithms is change of the number of channels used for biomedical signal recording and processing according to the change of patient’s condition. To detect the exacerbation first symptoms by means of the patient's wearable computer, additional channels are activated for recording biomedical signals used to evaluate the expanded complex of diagnostically significant parameters of the disease and their integration when specifying the patient's condition. …”
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Occlusion Vehicle Target Recognition Method Based on Component Model by Haorui Han, Hanshan Li

“…Based on the U-net codec structure, combining multi-scale detection and double constraints loss to improve the visual region segmentation under complex background (VSRS) performance. …”
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Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

“…The framework incorporates self-attention mechanisms and Multi-Task Learning (MTL) strategies to capture long-term dependencies and complex patterns in energy consumption time series data, while simultaneously optimizing prediction accuracy and anomaly detection. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

“…Abnormal energy usage in buildings and industries, often caused by system malfunctions, leads to substantial energy waste. Detecting such anomalies is essential for cost control and efficient energy management. …”
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Decoding burn trauma: biomarkers for early diagnosis of burn-induced pathologies by Fadi Khalaf, Daniella Touma, Alexandra Pappas, Lareina Hatim, Stephanie Wojtowicz-Piotrowski, Marc G. Jeschke

“…Abstract Burn injuries represent a significant global challenge due to their multifaceted nature, characterized by a complex cascade of metabolic and immune dysfunction that can result in severe complications. …”
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A novel YOLO LSTM approach for enhanced human action recognition in video sequences by Mahmoud Elnady, Hossam E. Abdelmunim

“…Additionally, this approach effectively handles challenges such as occlusions, varying illumination, and complex backgrounds, making it suitable for real-world applications. …”
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Environmental Applications of Mass Spectrometry for Emerging Contaminants by Anil Kumar Meher, Akli Zarouri

“…Addressing these challenges necessitates advanced analytical tools capable of detecting and quantifying trace levels of ECs in complex environmental matrices. …”
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Enhancing Privacy by Large Mask Inpainting and Fusion-Based Segmentation in Street View Imagery by Mahdi Khourishandiz, Abdollah Amirkhani

“…Our approach integrates semantic segmentation with 2D priors and multimodal data from cameras and LiDAR to achieve precise object detection in complex urban scenes. Detected regions are seamlessly filled using a large-mask inpainting technique based on fast Fourier convolutions (FFC), enabling efficient generalization to high-resolution imagery. …”
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