Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

“…Finally, simulations of a modified 6‐bus system and modified IEEE 57‐bus system validate the effectiveness of the proposed GLP‐AARO method for power system flexibility quantification and dispatch strategy optimization.…”
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Exact Nonlinear Spectral Analysis of Nonsmooth WENO-JS Solutions by Tamer H. M. A. Kasem

“…The NSM explains the behaviour of nonsmooth solutions because it is valid for arbitrary modified wave numbers (MWN). The NSM clarifies the effects of the time integration methods and the Courant number. …”
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Molecular breeding of pigs in the genome editing era by Jiahuan Chen, Jiaqi Wang, Haoran Zhao, Xiao Tan, Shihan Yan, Huanyu Zhang, Tiefeng Wang, Xiaochun Tang

“…However, these methods face challenges due to long breeding cycles and the necessity for beneficial genetic variation associated with high-quality traits within the population. …”
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A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

“…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
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Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

“…The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. …”
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Improving population analysis using indirect count data: A case study of chimpanzees and elephants by Samuel Ayebare, Neil A. Gilbert, Andrew J. Plumptre, Simon Nampindo, Elise F. Zipkin

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Reconstructing ‘dual-defect’ pressure sores in spinal patients by Ramin Shayan, Aoife Margaret Hurley, Derek Neoh, Stephen Flood, Michael Weymouth

“…We describe several key variations in the anatomical landmarks and the intraoperative flap raising technique that are integral to the use of the ALT flap for this application. …”
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Walking in two worlds: insights from implementing a Tr’ondëk Hwëch’in approach to bridging knowledge systems in conservation and land use planning by Chrystal Mantyka-Pringle, Jody Beaumont, Chris Clarke, Natasha Ayoub, Piia Kortsalo, Stephanie Saal, Katie Fraser, Kiri Staples, Tr’ondëk Hwëch’in

“…We also explore how the conservation prioritization method and software, Zonation, can be modified with Indigenous cultural values and subsistence use areas. …”
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Strain Decay Monitoring and Analytical Prediction of RC Columns Using Brillouin Optical Technology and Time-Dependent Deterioration Factor by Ittipon Pasityothin, Phromphat Thansirichaisree, Apichat Buatik, Thanongsak Imjai, Radhika Sridhar, Reyes Garcia, Takafumi Noguchi

“…Unlike conventional strain gauges, BOTDA provided a continuous strain profile along the column height, accurately capturing strain decay with a resolution exceeding 95%, enabling the detection of localized strain reductions often missed by traditional methods. The integration of η_decay into ACI 318 and Eurocode 2 models conservatively improved predictions, particularly for specimens tested with long-term testing (720 days), with experimental-to-predicted (E/P) ratios of 1.42 and 1.29, respectively, compared to higher discrepancies in the original codes. …”
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Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica by Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar

“…Moreover, existing semi-supervised learning (SSL) methods face key limitations such as shift invariance, inadequate feature representation, overfitting on small datasets, and a lack of generalization to unseen variations in ST morphology. …”
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Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis by Tomasz Walczyna, Damian Jankowski, Zbigniew Piotrowski

“…A comparative analysis of autoencoders, Variational Autoencoders, and their modified counterparts was conducted within a tailored experimental environment designed to simulate real-world scenarios. …”
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A microchip for exosome isolation that can be impregnated with imatinib simultaneously: an in vitro analysis by Amir Monfaredan, Fakher Rahim, Gholamreza Tavoosidana, Mohammad Hossein Modarressi, Alaviyehsadat Hosseininasab, Ali-Akbar Aghajani-Afrouzi, Mahdi Shafiee Sabet, Elahe Motevaseli

“…Background and Aims — Exosomes, which are tiny double-layered membranes originating from eukaryotic cells, have been recognized as a valuable natural vehicle for delivering substances because of their optimal size, compatibility with living organisms, strong structure, ability to carry a large amount of cargo, and capacity to be modified on their surface. Methods — Various strategies have been employed to isolate exosomes due to the challenges associated with maintaining their high purity. …”
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Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities by Israr Ahmad, Fengjun Shang, Muhammad Salman Pathan, Ahsan Wajahat, Yun-Su Kim

“…In comparison with existing methods, DSHA outperformed the existing state-of-the-art methods on the benchmark dataset. …”
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Optimal Active-Reactive Power Dispatch for Distribution Network With Carbon Trading Based on Improved Multi-Objective Equilibrium Optimizer Algorithm by Furong Tu, Sumei Zheng, Kuncan Chen

“…These elements are integrated to enhance population diversity and improve global exploration capabilities. …”
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Enhancing Microgrid Protection Through Adaptive Decentralized Relay Coordination: A Solution to Blinding and Sympathetic Tripping by Sujatha Balasubramanian, J. Preetha Roselyn, Prabha Sundaravadivel

“…Integrating Distributed Energy Resources into microgrids modifies the network’s system parameters and causes it to exhibit behaviour, particularly during fault conditions. …”
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Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

“…Our proposed neuron model, implemented in fully connected and convolutional layers, achieves over 95% classification accuracy on the MNIST and Fashion MNIST datasets using a modified spike-based backpropagation method. With nanosecond latency, these spiking neuron devices, when integrated with CMOS, pave the way for high-density, energy-efficient neuromorphic computing hardware.…”
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Evaluation of Strength Model Under Deep Formations with High Temperature and High Pressure by Fei Gao, Yan Zhang, Yuelong Liu, Hui Zhang

“…A comparative analysis of failure criteria demonstrates hierarchical predictive performance: the Hoek–Brown (HB) criterion achieves superior temperature-dependent strength prediction fidelity, outperforming the modified Griffith (MGC), Mohr–Lade (ML), and modified Wiebols–Cook (MWC) criteria by 12–18% in accuracy metrics. …”
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A Versatile Gyro Inclinometer, Adaptive to the Borehole Trajectory, Based on a Uniaxial Angular Rate Sensor by Ya. I. Binder, I. A. Khazov

“…The properties of orientation errors are examined using linearization methods, integral calculus, fundamentals of the calculus of variations, and the theory of linear differential equations.Results. …”
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Optimal restoration algorithm for active distribution network considering island mode of the microgrids by J. Marín Quintero, J. Ayala Uribe, O. Bernal, C. Orozco Henao

“…The proposed strategy was validated using a modified IEEE 123-node test feeder with integrated Distributed Energy Resources (DERs), also,it was tested under three approaches: low and high automation penetration of controllable IEDs and special operating conditions such as load variation, topology change and cut off generation. …”
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Apprehension toward generative artificial intelligence in healthcare: a multinational study among health sciences students by Malik Sallam, Malik Sallam, Malik Sallam, Kholoud Al-Mahzoum, Haya Alaraji, Noor Albayati, Shahad Alenzei, Fai AlFarhan, Aisha Alkandari, Sarah Alkhaldi, Noor Alhaider, Dimah Al-Zubaidi, Fatma Shammari, Mohammad Salahaldeen, Mohammad Salahaldeen, Aya Saleh Slehat, Maad M. Mijwil, Maad M. Mijwil, Doaa H. Abdelaziz, Doaa H. Abdelaziz, Ahmad Samed Al-Adwan

“…The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers.MethodsThe study was based on a self-administered online questionnaire distributed using convenience sampling. …”
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