Dynamic Tensile Properties of Ultra–High–Performance Concrete Under Impact Splitting Tensile Load Based on Digital Image Correlation Technology by Xudong CHEN, Xuyang WANG, Tao JI, Jixuan LIU, Yingjie NING

“…The splitting and tensile failure process of UHPC under different impact strengths was captured by a high-speed camera. …”
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Reducing diagnostic delays of extraintestinal manifestations in inflammatory bowel disease: a comparative study of a multidisciplinary outpatient clinic versus conventional referra... by Olga Maria Nardone, Giulio Calabrese, Alessia La Mantia, Guido Daniele Villani, Matteo Megna, Sara Cacciapuoti, Francesca Foglia, Rosario Peluso, Ermelinda D’Alessandro, Mario Ferrante, Anna Testa, Alessia Dalila Guarino, Antonio Rispo, Fabiana Castiglione

“…Conclusion: Attending a dedicated IMID clinic can enhance the diagnostic process for EIMs in IBD patients, thereby reducing diagnostic delays and allowing early interventions to avoid disease progression.…”
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Stable 13C-glutamine Tracing Resolved Metabolomics for Cancer Metabolism Study by Yaogang Zhong, Liqing He, Xinmin Yin, Logan Mazik, Xiang Zhang, Deliang Guo

“…Stable isotopes have frequently been used to study metabolic processes in live cells both in vitro and in vivo. …”
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Application of QVP Method to Winter Precipitation Observation Based on Polarimetric Radar by Guan Li, Dai Jianhua, Tao Lan, Yin Chunguang, Meng Fanwang

“…The polarimetric radars provide unique insight into microphysical processes in clouds and precipitation. Using polarimetric radars in conjunction with thermodynamic information is a promising way for better winter precipitation detection. …”
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A Novel Method for Single-Station Lightning Distance Estimation Based on the Physical Time Reversal by Yingcheng Zhao, Zheng Sun, Yantao Duan, Hailin Chen, Yicheng Liu, Lihua Shi

“…Moreover, the correlation coefficients of the detection results are all as high as 0.999. These results indicate that the PTR method significantly outperforms the traditional ionospheric reflection method, demonstrating that it is able to perform a more accurate single-station lightning distance estimation by utilizing the compensation mechanism of the multipath effect on the sferics. …”
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Pedestrian Re-Recognition Algorithm Based on Optimization Deep Learning-Sequence Memory Model by Feng-Ping An

“…It can help relay tracking and criminal suspect detection in large-scale video surveillance systems. …”
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Enhanced diabetes prediction using skip-gated recurrent unit with gradient clipping approach by Suhas Kamshetty Chinnababu, Suhas Kamshetty Chinnababu, Suhas Kamshetty Chinnababu, Ananda Babu Jayachandra, Ananda Babu Jayachandra, Swathi Holalu Yogesh, Swathi Holalu Yogesh, Mohamed Abouhawwash, Mohamed Abouhawwash, Doaa Sami Khafaga, Eman Abdullah Aldakheel, Vinaykumar Vajjanakurike Nagaraju, Vinaykumar Vajjanakurike Nagaraju

“…The GC technique is used during the training process of the Skip-GRU network that mitigates the exploding gradients issue and helps to predict diabetes effectively. …”
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Research on the application of functional near-infrared spectroscopy in differentiating subjective cognitive decline and mild cognitive impairment by Zheng Wang, Chaojie Niu, Yong Duan, Hao Yang, Jinpeng Mi, Chao Liu, Guodong Chen, Qihao Guo

“…Once the condition begins to progress, the process is usually irreversible. Therefore, early identification and intervention are crucial for patients. …”
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Design, development, and testing of a cassava storage root-cutting robot utilizing a Stewart platform and mask R-CNN for precision agriculture by Thanaporn Singhpoo, Seree Wongpichet, Jetsada Posom, Kanda Runapongsa Saikaew, Arthit Phuphaphud, Poramate Banterng, Mahisorn Wongphati, Khwantri Saengprachatanarug

“…The robot's performance was evaluated through a three-step process. First, motion performance was assessed, and the results demonstrated acceptable levels of accuracy, repeatability, and workspace. …”
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Temperature sensor with adjustable frequency band integrated with antenna and perception by Xiangxiang Zhang, Yulong Hou, Rui Feng, Huanting Shi, Junqi Pang, Qiulin Tan

“…During this process, we found that adjusting the length, width, and opening size of the CSRR can achieve controllable tuning of the sensor’s operating frequency bands. …”
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High Quality Dynamic Occlusion Computational Ghost Imaging Guided Through Conditional Diffusion Model by Minze Liang, Enkui Zhang, Xinyi Zheng, Huixing Yang, Liyu Zhang, Xuan Liu, Yongli Zhang

“…This method helps promote the practical application of CGI and has application potential in target detection scenarios such as unmanned driving and lidar.…”
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A Systematic Search for X-Ray Eclipse Events in Active Galactic Nuclei Observed by Swift by Tianying Lian, Chichuan Jin, Weimin Yuan

“…., ionization state and column density) and the black hole mass and mass-accretion rate, implying their strong connection to the accretion process, potentially via outflows. Our study also demonstrates the potential of the new X-ray all-sky monitor, the Einstein Probe, in providing more detection and physical constraints for such events.…”
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Laboratory diagnosis of the Tropicamide non-drug consumption by O. Yu. Strelova, Yu. V. Slustovskaya, A. N. Grebenyuk

“…Thus, the colorant does not destroy the xenobiotic during the hair dying procedure and does not impact the enzymatic hydrolysis process. The values of the validation parameters (precision and accuracy) met the required criteria for bioanalytical methods. …”
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Targeting microRNA methylation: Innovative approaches to diagnosing and treating hepatocellular carcinoma by Albert Sufianov, Murad Agaverdiev, Andrey Mashkin, Tatiana Ilyasova

“…Evidence suggests that aberrant miRNA methylation can serve as a powerful biomarker for early detection and prognosis in HCC and may present novel opportunities for therapeutic intervention. …”
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Volatile Sulphur Compounds in Wine Distillates by Stir Bar Sorptive Extraction-Gas Chromatography-Mass Spectrometry by Marta Silvosa, María de Valme García-Moreno, Remedios Castro

“…In general, lower amounts of volatile sulphur compounds were found in the aged samples, although the high standard deviations obtained highlight that their contents depend on multiple factors related to the elaboration process.…”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“… Madam, Artificial intelligence (AI) describes the generation of intelligent machines that are capable of carrying out activities that usually call for human intellect. (1) It involves creating algorithms and models that enable computers to learn from and analyze vast amounts of data, recognize patterns, make decisions, and even engage in natural language processing.  (2) AI has become increasingly important in various fields due to its potential to automate complex processes, enhance efficiency, and drive innovation. …”
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Artificial Intelligence in Cyberspace: Between Danger and Innovation by Mykhailo Dumchikov, Olha Maletova, Tetyana Mishchenko, Yevheniia Lytvynenko

“…It is emphasized that the application of AI in crime investigations aids in refining the processes of detection and analysis of cybercriminal activities, allowing for quicker identification of anomalies and response to them. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…Additionally, we developed a robust learning scheme for spheroid detection, providing a reliable foundation to study MSC differentiation dynamics. …”
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Wearable Humidity Sensor Using Cs₃Cu₂I₅ Metal Halides with Hydroxyl Selective Phase Transition for Breath Monitoring by Si Hyeok Yang, Lim Kyung Oh, Dong Ho Lee, Donghoon Gwak, Nara Song, Bowon Oh, Na Young Lee, Hongki Kim, Han Seul Kim, Jin Woo Choi

“…The material was synthesized on an Al₂O₃ substrate with carbon electrodes using a solution-based process, enabling gas sensing based on its electrical properties. …”
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DiffuSAR: Frequency Domain-Aware Diffusion Model for SAR Image Generation by Zilu Ying, Wenyu Ke, Yikui Zhai, Zhihao Long, Jianhong Zhou, Hufei Zhu, C. L. Philip Chen

“…In recent years, deep learning-based synthetic aperture radar (SAR) image detection, recognition, and segmentation models achieve remarkable accuracy when trained on large amounts of SAR image samples. …”
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