Enhancing Flow Direction in Geothermal Fields Using Sentinel-1 Data for Sustainability Water Management by Utama Widya, Anjasmara Ira Mutiara, Handayani Hepi Hapsari, Indriani Rista Fitri

“…The analysis shows that during the rainy season, flow direction predominantly shifts northeast (16.48%), while in the dry season, it shifts northwest (16.85%). …”
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Single-Sheet Separation from Paper Stack Based on Friction Uncertainty Using High-Speed Robot Hand by Taku Senoo, Atsushi Konno, Yuuki Yamana, Idaku Ishii

“…Under the condition of uncertain friction coefficients, a stochastic algorithm introducing randomness is formulated, which converges a paper stack to a state of single-sheet separation through the repetition of simple robot operations. …”
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Seronegative Sicca Syndrome: Diagnostic Considerations and Management Strategies by Yordanka M. Basheva-Kraeva, Krasimir I. Kraev, Petar A. Uchikov, Maria I. Kraeva, Bozhidar K. Hristov, Nina St. Stoyanova, Vesela T. Mitkova-Hristova, Borislav Ivanov, Stanislav S. Karamitev, Nina Koleva, Aleksandar Marinkov, Veselin A. Vassilev

“…To address these gaps, a paradigm shift is needed—one that embraces the spectrum of sicca syndromes, incorporates advanced immunophenotyping, and allows inclusion of seronegative patients in research and care algorithms.…”
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D-Band 4.6 km 2 × 2 MIMO Photonic-Assisted Terahertz Wireless Communication Utilizing Iterative Pruning Deep Neural Network-Based Nonlinear Equalization by Jingwen Lin, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Siqi Wang, Zhihang Ou, Yuan Ma, Wen Zhou, Jianjun Yu

“…Before pruning, at 10 GBaud transmission, the lowest BER was 0.0362, and at 30 GBaud transmission, the lowest BER was 0.1826, both of which did not meet the 20% soft-decision forward error correction (SD-FEC) threshold. …”
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Past Variability of Mediterranean Sea Marine Heatwaves by Sofia Darmaraki, Samuel Somot, Florence Sevault, Pierre Nabat

“…We apply a MHW detection algorithm on a hindcast simulation, performed with a high‐resolution, fully coupled regional climate system model. …”
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Remote Sensing Time Series Analysis: A Review of Data and Applications by Yingchun Fu, Zhe Zhu, Liangyun Liu, Wenfeng Zhan, Tao He, Huanfeng Shen, Jun Zhao, Yongxue Liu, Hongsheng Zhang, Zihan Liu, Yufei Xue, Zurui Ao

“…., a constellation strategy, increasing computing power and advancing deep learning algorithms, are driving a paradigm shift from traditional point-in-time mapping to near-real-time monitoring tasks, and even to modeling integration of parameter inversion and prediction in land, water, and air science. …”
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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

“…Due to its load time shifting and power regulation capabilities, virtual power plants (VPPs) have the potential to participate in the electricity market and provide flexible ramping products (FRPs). …”
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Performance of ChatGPT-3.5 and ChatGPT-4 in the field of specialist medical knowledge on National Specialization Exam in neurosurgery by Maciej Laskowski, Marcin Ciekalski, Marcin Laskowski, Bartłomiej Błaszczyk, Marcin Setlak, Piotr Paździora, Adam Rudnik

“…Studies integrating AI into neurosurgical practice suggest an ongoing shift towards a greater dependence on AI-assisted tools for diagnostics, image analysis, and decision-making. …”
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Improving spatiotemporal data fusion method in multiband images by distributing variates by Yihua Jin, Zhenhao Yin, Weihong Zhu, Dongkun Lee

“…RDSFM addresses residuals caused by spatial and temporal variations, utilizing the IR-MAD algorithm to estimate subpixel distribution weights based on multivariate data collected over time. …”
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Application of Neural Networks to Analyse the Spatial Distribution of Bicycle Traffic Before, During and After the Closure of the Mill Road Bridge in Cambridgeshire, United Kingdom by Shohel Amin

“…Bicyclists are more flexible with road closures, shifting to alternative routes, public transport and other active transport depending on the infrastructure, quality and transport services. …”
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Advanced thermal management in radiology equipment: Numerical and semi-analytical analysis of flat heat pipes by Maryam Johari, Hossein Ali Hoshyar, Davood Domiri Ganji

“…Advanced techniques—specifically the Least Squares Method (LSM) and the fourth-order Runge-Kutta-Fehlberg (RKF) algorithm, are employed to conduct a comprehensive analytical investigation of heat pipe performance. …”
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High resolution satellite imaging 0.5U-size freeform telescope for CubeSat by Jacek Wojtanowski

“…Freeform surfaces were described by shifted polynomial equations. In order to prevent optimization falling into numerous local minima of multi-variate merit function, the new design strategy was proposed. …”
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Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects by Qiong Gong, Tongxiao Lyu, Song Ye, Xinqiang Wang

“…A three-beam polarization imaging system is used to simultaneously capture the polarization images of sucrose solutions with varying concentrations, and the SIFT algorithm is employed to eliminate image shifts. The results show a strong linear correlation between sugar concentration and both AoLP (R² = 0.998) and DoLP (R² = 0.968). …”
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Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model by Bingjun Li, Yifan Zhang, Shuhua Zhang, Wenyan Li

“…The forecasting results found that the growth rate of grain production in Henan Province slowed down and the center of gravity for grain production shifted northwards.…”
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A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification by Shousong Han, Zhiqiang Chao, Xiangbo Liu

“…Optimal scheduling of the semiactive hybrid damping control gain (csky, cground, chybrid) and self-adaptive control gain (cv) under different disturbances were realized by exploiting the particle swarm multiobjective optimization algorithm. An experimental study using a carefully designed test rig was performed under a number of typical riding conditions of tracked vehicles, and the results showed that the proposed control strategy is capable of accurately recognizing different disturbances, shifting between control modes (semiactive/self-adaptive), and scheduling the damping control gain according to the disturbance identification outcomes; hence, the proposed strategy could achieve a good trade-off between ride comfort and ride safety and efficiently increase the overall performance of the suspension under various riding conditions.…”
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Using artificial intelligence tools to predict and alleviate poverty by Ghada Alturif, Wafaa Saleh, Alaa A. El-Bary, Radwa Ahmed Osman

“…The findings show that the model can correctly forecast shifts in poverty levels, which is consistent with expected worldwide patterns. …”
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Suitability Analysis of Inverter Topologies and Their Modulation Strategies for Two-Phase Bearingless Motors by Qiang Ding, Xucong Bao

“…It is worth mentioning that the idea of carrier phase shifting is applied to the two-phase BM drive system in this paper to improve the system efficiency further. …”
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Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…Integrating event-based sensors with neuromorphic algorithms represents a paradigm shift, using spiking neural networks (SNNs) to parallelise computation and adapt to dynamic environments. …”
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Construction of a Prediction Model for Sleep Quality in Embryo Repeated Implantation Failure Patients Undergoing Assisted Reproductive Technology Based on Machine Learning: A Singl... by Zhao Y, Xu C, Qin N, Bai L, Wang X, Wang K

“…Use Lasso regression to screen variables and construct a risk prediction model using six machine learning algorithms. Evaluate the validity of the model using the area under the curve (AUC), and comprehensively evaluate the performance of the model based on F1 score, accuracy, sensitivity, and specificity. …”
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Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective S... by Chun-Chi Lai, Cheng-Yu Chen, Tzu-Hao Chang

“…Recent advancements in treatment have led to a shift in the use of chemotherapy-targeted immunotherapy from a postoperative adjuvant to a preoperative neoadjuvant approach in select cases, resulting in enhanced survival outcomes. …”
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