Serum peptide biomarkers by MALDI-TOF MS coupled with machine learning for diagnosis and classification of hepato-pancreato-biliary cancers by Piya Prajumwongs, Attapol Titapun, Vasin Thanasukarn, Apiwat Jareanrat, Natcha Khuntikeo, Krit Rattanarak, Nisana Namwat, Poramate Klanrit, Arporn Wangwiwatsin, Jarin Chindaprasirt, Supinda Koonmee, Prakasit Sa-Ngiamwibool, Nattha Muangritdech, Sawanya Charoenlappanit, Janthima Jaresitthikunchai, Sittiruk Roytrakul, Watcharin Loilome

“…Feature selection on the training set identified 71 informative peptide mass fingerprints, which were then used to construct predictive models using SVM and RF algorithms. Visualization using heatmap, PLS-DA, and multiclass RF analysis showed clear separation between healthy individuals and HPB cancer patients, as well as among different HPB cancer subtypes. …”
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Simultaneous multislice cardiac multimapping based on locally low-rank and sparsity constraints by Yixin Emu, Yinyin Chen, Zhuo Chen, Juan Gao, Jianmin Yuan, Hongfei Lu, Hang Jin, Chenxi Hu

“…To mitigate image artifacts and noise caused by the ill-conditioning, a reconstruction algorithm based on locally low-rank and sparsity (LLRS) constraints was developed. …”
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DS-HPPO Deep Reinforcement Learning for Optimal DVFS Control on an Image Signal Processor by Yang Du, Wenhong Li, Xiaoyang Zeng

“…Furthermore, when accounting for the impact of manufacturing process variations on performance, power consumption, and chip area, the experimental result clearly demonstrates our work’s effectiveness and superiority over state-of-the-art works.…”
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Modeling of Cloud-Edge Collaborated Electricity Market Considering Flexible Ramping Products Provided by VPPs by PENG Chaoyi, CHEN Wenzhe, XU Suyue, LI Jianshe, ZHOU Huafeng, GU Huijie, NIE Yongquan, SUN Haishun

“…Therefore, a cloud-edge collaborated market architecture supporting VPPs participation in the electricity market and providing FRPs services is proposed, and the corresponding distributed optimization trading model is established. The market clearing process is completed through the collaborative interaction between the independent system operator and VPPs, which can accurately guide VPPs to optimize the electricity consumption and provide flexible climbing services. …”
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AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

“…We propose the following recommendations: • Developers of AI-based literature search tools should prioritize transparency. They should clearly outline their article selection criteria and summarization algorithms. …”
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Developments in solar-driven desalination: Technologies, photovoltaic integration, and processes by Mohamed El-Sayed M. Essa, Hemdan S. El-sayed, Elwy E. El-kholy, Mohammed Amer, Mahmoud Elsisi, Uzair Sajjad, Khalid Hamid, Hilmy El-sayed Awad

“…The paper also explores cutting-edge optimization techniques and rule-based control algorithms that significantly enhance operational performance. …”
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Computation of Pressure Fields around a Two-Dimensional Circular Cylinder Using the Vortex-In-Cell and Penalization Methods by Seung-Jae Lee, Jun-Hyeok Lee, Jung-Chun Suh

“…The Vortex-In-Cell (VIC) method, which is based on the vorticity-velocity formulation, offers particle-mesh algorithms to numerically simulate flows past a solid body. …”
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GEOMETRIC AND KINEMATIC CHARACTERISTICS OF FEEDER AND THROWER OF MILLING AND ROTARY SNOWBLOWER by D. S. Aleshkov

“…Questions of the maintenance of territories and road network in winter conditions are directly connected with timely and qualitative clearing of roads and territories of snow. Designing and creation effective milling and rotary snowblowers, which work includes some technological operations on snow cleaning, consist in a correct choice of geometrical and kinematic parameters of basic elements. …”
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Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation by Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang

“…An efficient multiplicative updating algorithm is deduced to solve the novel loss function, followed by a strict proof of the convergence. …”
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The Place of Local Field Potentials in Deep Brain Stimulation Programming for Parkinson’s Disease: A Review by Chun Him Shelton Leung, Hugh D. Simpson, Dominic Thyagarajan

“…Conclusions: More research is required to compare different algorithms that utilize LFPs in DBS programming to identify a simple, practical and time-saving algorithm incorporating reliable LFP biomarkers that will enhance the DBS programming experience for both patients and clinicians.…”
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Methodology for the Development of a Standard Operating Procedure for Reprocessing Flexible Endoscope, Taking into Account the Epidemiological Risks by O. P. Chernyavskaya, N. A. Kononenko, K. N. Kabakova, N. M. Obolskaya

“…The standardization of the procedure of processing of the flexible endoscopes allows to perform manipulations after clearly developed algorithm, excludes misunderstanding from the stuff, reduces the quantity of faults and mistakes and, as result, reduces probability of the healthcare-associated infections (HAI).…”
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The Comparison of Ketokonazol and Hypochlorous Acid (Hocl) Applications for the Treatment of The Fungal Infections (Dermatophytosis) by Mahmut Babur, Başaran Karademir

“…As a result, it was concluded that HOCl has an effect on dermatophytosis of cat and dogs, although not as much as Ketaconazole, but further studies are needed to reveal the results more clearly.…”
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Sensing spectrum sharing based massive MIMO radar for drone tracking and interception. by Milembolo Miantezila Junior, Bin Guo

“…The profit of this novel sensing method can be clearly seen when the two joint hidden states are taken into consideration. …”
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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…Third, XGBoost and Random Forest machine learning algorithms were employed to examine and validate the importance of the spatial lag component. …”
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Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice by Lizhen Lu, Yueli Zhu, Jiekai Yang, Yuting Yang, Junwei Ye, Shanshan Ai, Qi Zhou

“…Bridging these perspectives by improving reliability, safeguarding privacy, and clearly defining ChatGPT’s role is essential for its practical and ethical integration into clinical practice.…”
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DCLTV: An Improved Dual-Condition Diffusion Model for Laser-Visible Image Translation by Xiaoyu Zhang, Laixian Zhang, Huichao Guo, Haijing Zheng, Houpeng Sun, Yingchun Li, Rong Li, Chenglong Luan, Xiaoyun Tong

“…Existing cross-modal image translation algorithms are plagued with issues, including difficult training and color bleeding. …”
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Validating laboratory predictions of soil rewetting respiration pulses using field data by X. Li, X. Li, M. Pallandt, M. Pallandt, D. Naidu, D. Naidu, J. Rousk, G. Hugelius, G. Hugelius, S. Manzoni, S. Manzoni

“…LR increased with soil dryness before rewetting, but this trend was less clear in FR. LR decreased with soil moisture increments at rewetting, while FR increased with soil moisture increments. …”
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ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention by Yanfei Chen, Tong Yue, Pei An, Hanyu Hong, Tao Liu, Yangkai Liu, Yihui Zhou

“…Single image dehazing is a fundamental task in computer vision, aiming to recover a clear scene from a hazy input image. To address the limitations of traditional dehazing algorithms—particularly in global feature association and local detail preservation—this study proposes a novel Transformer-based dehazing model enhanced by an interactive channel attention mechanism. …”
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Empowering Sustainability: The Crucial Role of IoT-Enabled Distributed Learning Systems in Reducing Carbon Footprints by Anjana M S, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh

“…By tracking the activity, the occupants get a clear understanding of their carbon footprint and they can make adjustment to reduce carbon emissions.…”
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Next Generation Power System Planning and Operation With Quantum Computation by Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O'Meara, Giorgio Cortiana, Jan Schiefelbein-Lach, Antonello Monti

“…In this article, we lay out clear motivations for seeking quantum solutions for solving computational burden challenges associated with power system applications. …”
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