CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching by Jan Zubáč, Miloslav Surýnek, Kamil Olejník, Andrej Farkaš, Filip Krizek, Lukáš Nádvorník, Peter Kubaščík, Zdeněk Kašpar, František Trojánek, Richard P. Campion, Vít Novák, Petr Němec, Tomáš Jungwirth

“…Abstract Solving complex tasks in a modern information‐driven society requires novel materials and concepts for energy‐efficient hardware. …”
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SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions by De-yu Tang, Yi-jun Mao, Jie Zhao, Jin Yang, Shi-yin Li, Fu-xiang Ren, Junxi Zheng

“…Although various models and methods have been proposed to detect EIs, identifying EIs efficiently and accurately is still a challenge. …”
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Genomic and Functional Analysis of a Novel Yeast <i>Cyberlindnera fabianii</i> TBRC 4498 for High-Yield Xylitol Production by Pawarin Bonthong, Benjarat Bunterngsook, Wuttichai Mhuantong, Katesuda Aiewviriyasakul, Wipawee Sritusnee, Verawat Champreda, Hataikarn Lekakarn

“…The development of yeast cell factories for efficient xylose utilization and xylitol production is crucial for advancing sustainable biotechnological processes. …”
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Nutrigenomic and Nutritional Analyses Reveal the Effects of Pelleted Feeds on Asian Seabass (Lates calcarifer). by Si Yan Ngoh, Daniel Tan, Xueyan Shen, Purushothaman Kathiresan, Junhui Jiang, Woei Chang Liew, Natascha May Thevasagayam, Hsiao Yuen Kwan, Jolly M Saju, Sridatta R S Prakki, Chin Heng Goh, Hong Ching Wong, Tai Teck Chan, Miklós Mézes, László Orbán

“…When the liver-based transcriptomes were analyzed, a complex set of differentially expressed genes were detected between groups fed pelleted feeds and controls as well as among the pellet-fed groups themselves. …”
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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…FPGAs provide fast development capabilities, energy efficiency, decreased latency, and advanced reconfigurability. …”
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Multi-environment trials data analysis: linear mixed model-based approaches using spatial and factor analytic models by Tarekegn Argaw, Berhanu Amsalu Fenta, Habtemariam Zegeye, Girum Azmach, Assefa Funga

“…The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the complexity of MET experiments grows. This study presents linear mixed model-based approaches for MET data analysis. …”
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Cognitive functions and their effect on disability in learning process and knowledge application in patients with arterial hypertension by S. Ya. Yanovska

“…Patients with stage III AH after a stroke had significant problems with their eyesight and hearing, concentration of attention and process of thinking, solving simple and complex problems. Moreover, a number of the following factors have contributed to the above-mentioned condition: emotional instability, nonconformity, desire to present themselves in a "favorable light", anxiety, depressive and paranoid tendencies, sensitive, egocentric, anosognotic response to the disease, exacerbation of accentuation of an excitable nature and low work efficiency, acute accentuation of personality traits, impairment of short- and long-term speech, auditory, imaginative, visual and informative memory, control of expression of understanding and emotions, interpersonal and internal personal emotional intelligence and logical thinking. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…Clustering plays a vital role in process mining as it organizes complex event logs into meaningful groups, helping to identify common patterns, outliers, and inefficiencies. …”
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Establishing a universal IVRP method for quadrivalent HPV vaccines to replace in vivo potency tests by Jinpan Hu, Zijing Jia, Meng Wang, Lingling Nie, Wangjun Fu, Qingfeng Zhang, Haiyang Qin, Jianhui Nie, Xiaoyu Xu, Lingjie Xu, Fengze Wang, Yingping Chen, Bo Xing, Tao Li, Danfeng Li, Shaowei Li, Ningshao Xia, Xiangxi Wang, Weijin Huang

“…The IVRP results were correlated with potency data from mouse models, offering an efficient alternative to in vivo potency experiments.…”
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Coexpression network analysis in abdominal and gluteal adipose tissue reveals regulatory genetic loci for metabolic syndrome and related phenotypes. by Josine L Min, George Nicholson, Ingileif Halgrimsdottir, Kristian Almstrup, Andreas Petri, Amy Barrett, Mary Travers, Nigel W Rayner, Reedik Mägi, Fredrik H Pettersson, John Broxholme, Matt J Neville, Quin F Wills, Jane Cheeseman, GIANT Consortium, MolPAGE Consortium, Maxine Allen, Chris C Holmes, Tim D Spector, Jan Fleckner, Mark I McCarthy, Fredrik Karpe, Cecilia M Lindgren, Krina T Zondervan

“…Since many genes and their interactions influence complex traits such as MetS, integrated analysis of genotypes and coexpression networks across multiple tissues relevant to clinical traits is an efficient strategy to identify novel associations.…”
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Anaerobic digestion of microalgae: microbial response and recovery after organic loading disturbances by Juline M. Walter, Silvia Greses, Live H. Hagen, Valerie C. Schiml, Phillip B. Pope, Cristina González-Fernández, Magnus Ø Arntzen

“…By identifying key shifts in microbial populations and enzyme activity, particularly the transition from hydrogenotrophic to acetoclastic methanogens during recovery, this research provides critical insights for improving AD system stability and can contribute to optimizing microalgae-based AD processes for more reliable and efficient methane production.…”
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Reconstructed hyperspectral imaging for in-situ nutrient prediction in pine needles by Yuanhang Li, Yuanhang Li, Jun Du, Jun Du, Chuangjie Zeng, Chuangjie Zeng, Yongshan Wu, Yongshan Wu, Junxian Chen, Junxian Chen, Teng Long, Teng Long, Yongbing Long, Yongbing Long, Yubin Lan, Yubin Lan, Xiaoliang Che, Tianyi Liu, Jing Zhao, Jing Zhao

“…It facilitates efficient in situ nutrient detection and offers a promising tool for sustainable forestry development.…”
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Medical Data over Sound—CardiaWhisper Concept by Radovan Stojanović, Jovan Đurković, Mihailo Vukmirović, Blagoje Babić, Vesna Miranović, Andrej Škraba

“…The CardiaWhisper system is evaluated across several performance parameters, including functionality, complexity, speed, noise immunity, power consumption, range, and cost-efficiency. …”
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Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems by F.S. Gómez-Vega, O. Acuña, Andrea C. Camargo, Jeison D. Jimenez, Sara M. Galeano, Isabella E. Franco, Laura L. Lozano, Jenifer Vásquez, Edwin Puertas

“…The model’s performance was validated by domain experts, who confirmed the detected inconsistencies as highly accurate. Our approach significantly reduces the manual effort required for P&ID review and improves design consistency, demonstrating the potential for enhanced safety and efficiency in complex industrial projects. …”
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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Biasedness Another aspect of AI tools which impacts their efficiency is the biasedness that can emerge by being repeatedly trained on the same type of information.5 By emulating the human brain’s ability to remember, understand, and adapt according to new information, AI also inherits a “flaw” of the human mind of being influenced or becoming biased by recurrent exposure to specific types of information. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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Surface protonation amplifies carbon nitride nanosheet-induced phospholipid extraction: Mechanistic insights into enhanced cytotoxicity by Yiping Feng, Jiayong Lao, Jingchuan Xue

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Improved Air Mesh Refinement for Accurate Strand-Solid and Self-Collision Handling by Jong-Hyun Kim

“…Moreover, depending on scene complexity, both discrete collision detection (DCD) and continuous collision detection (CCD) often need to be considered. …”
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