Innovative multi-class segmentation for brain tumor MRI using noise diffusion probability models and enhancing tumor boundary recognition by Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie

“…The proposed algorithm integrates diffusion models, capitalizing on their efficacy in capturing microstructural details, emphasizing the intricacies of human anatomy and tissue variations that challenge segmentation algorithms. …”
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Adaptive Control of VSG Inertia Damping Based on MADDPG by Demu Zhang, Jing Zhang, Yu He, Tao Shen, Xingyan Liu

“…Therefore, this paper proposes a VSG inertia and damping adaptive control method based on multi-agent deep deterministic policy gradient (MADDPG). …”
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A Novel Variable-Step Algorithm for DC-Side Voltage Stability Control Strategy in UPQC to Improve Power Quality by Kai Song, Ningning Li, Cong Li, Zihui Lian, Hongxu Li, Jiawen Sun, Shulin Jiang, Boyan Huang

“…First, an adaptive filter is integrated into the linear active disturbance rejection control (LADRC) to address control accuracy issues caused by noise and parameter variations. …”
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Partial contrastive point cloud self-supervised representation learning by Zijun Cheng, Yiguo Wang

“…Additionally, our method demonstrates superior performance in segmentation and few-shot classification compared to Point-BERT.…”
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Defining critical SOC/clay thresholds for soil health in boreal croplands using satellite-based NDVI proxies for productivity and resilience by Jaakko Heikkinen, Riikka Keskinen, Kari Ylivainio

“…In this study, we developed a method to define a critical threshold value for SOC/clay ratio on the basis of crop productivity and resilience. …”
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Towards a harmonized operational earthquake forecasting model for Europe by M. Han, L. Mizrahi, S. Wiemer

“…<p>We develop a harmonized earthquake forecasting model for Europe based on the epidemic-type aftershock sequence (ETAS) model to describe the spatiotemporal evolution of seismicity. We propose a method modification that integrates information from the 2020 European Seismic Hazard Model (ESHM20) about the spatial variation in background seismicity during ETAS parameter inversion based on the expectation–maximization (EM) algorithm. …”
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Seismic prediction technology for thin sandstone reservoir of Dainan Formation in Majiazui Oilfield by CHEN Hongcai, LI Zhaorui

“…The reservoirs exhibit thin vertical thickness and rapid lateral distribution changes, demanding high precision in reservoir prediction, which conventional seismic inversion methods struggle to meet. To address this challenge, the waveform indication simulation method was employed for thin reservoir prediction in the study area. …”
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Colour guided ground-to-UAV fire segmentation by Rui Zhou, Tardi Tjahjadi

“…However, existing unsupervised domain adaptive (UDA) methods primarily focus on domain confusion, which raises conflicts among training data if there is a huge domain shift caused by variations in observation perspectives or locations. …”
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General Solution of Linear Fractional Neutral Differential Difference Equations by Hai Zhang, Jinde Cao, Wei Jiang

“…The exponential estimates of the solution and the variation of constant formula for linear fractional neutral differential difference equations are derived by using the Gronwall integral inequality and the Laplace transform method, respectively. …”
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Adaptive torque feed-forward control for wind turbine MPPT considering predicted wind speed characteristics by Liangwen Qi, Min Zhao, Songsong Wu, Xiaohan Zhang, Pengfei Meng, Yong Zhao, Wei Deng

“…In this regard, an adaptive feed-forward torque control (AFTC) approach is proposed to dynamically adjust the MPPT tracking bandwidth in response to wind variations. The approach integrates a Kalman observer for aerodynamic torque estimation and employs the Newton-Raphson method to derive real-time wind speed. …”
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Annual Daily Average Load Curve Prediction Considering Dynamic Time Anchors and Typical Feature Constraints by Dan LI, Shuai HE, Wei YAN, Yue HU, Zeren FANG, Yunyan LIANG

“…The proposed method can effectively integrate the common rules of historical sample time series with different calendar characteristics, which is reasonable and interpretable.…”
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Deployment and evaluation of an NH₄⁺∕&thinsp;H₃O⁺ reagent ion switching chemical ionization mass spectrometer for the detection of reduc... by C. L. Zang, M. D. Willis

“…Sensitivities are comparable to other similar instruments (up to <span class="inline-formula">∼</span>5 <span class="inline-formula">counts</span> <span class="inline-formula">s⁻¹</span> <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mrow class="unit"><msubsup><mi mathvariant="normal">ppt</mi><mi mathvariant="normal">v</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="27pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="03e69d0b8a5da11c6fbc4c8c60f3b361"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-18-17-2025-ie00006.svg" width="27pt" height="16pt" src="amt-18-17-2025-ie00006.png"/></svg:svg></span></span>), with detection limits on the order of 1–10 s of <span class="inline-formula">ppt_v</span> (1 <span class="inline-formula">s</span> integration time). We report a method for characterizing and filtering periods of hysteresis following each reagent ion switch and compare use of reagent ions, persistent ambient ions, and a deuterated internal standard for diagnosing this hysteresis. …”
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Review of Post-registration Changes in the Life Cycle of Сholera Bivalent Chemical Vaccine (Review) by I. V. Shulgina, O. A. Lobovikova, O. A. Voloh, O. V. Gromova, A. K. Nikiforov, A. V. Komissarov, V. A. Demchenko, A. S. Fes’kova, S. S. Galetova, N. P. Mironova, V. I. Pavlova

“…The inevitable of post-registration variations due to the improvement of production processes and quality control related to the integration of the modern technological solutions, replacement of equipment, suppliers of raw, consumables and packaging materials, improvement of form release or composition, administrative changes, as well as obtaining new data on clinical efficacy and safety of immunobiological medicinal products (IMP) during post-marketing studies.Text. …”
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Multi-omics approaches to deciphering complex pathological mechanisms of migraine: a systematic review by Jiaojiao Liu, Qiaosheng Ren, Boxuan Du, Xian Liu, Yuqiu An, Peichi Zhang, Lexi Li, Zhenhong Liu, Zhenhong Liu, Kegang Cao, Kegang Cao

“…This systematic review aims to synthesize the findings of multi-omics studies on migraine to further elucidate the complex mechanisms of disease onset, thereby laying a scientific foundation for identifying new therapeutic targets.MethodsWe conducted a comprehensive systematic review, specifically focusing on clinical observational studies that investigate various aspects of migraine through the integration of genomics, transcriptomics, proteomics, and metabolomics. …”
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Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations by Zyad T. Saleh, Majdi Rababa, Rami A. Elshatarat, Muna Alharbi, Bandar Naffaa Alhumaidi, Majed S. Al-Za’areer, Reem Ahmad Jarrad, Tahany Fareed Al Niarat, Wesam T. Almagharbeh, Khaled Mohammed Al-Sayaghi, Doaa El Sayed Fadila

“…Design A cross-sectional study. Methods The study surveyed nursing faculty from Jordan and the United States using a self-reported questionnaire. …”
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Development and Validation of a Standardized Pseudotyped Virus-Based Neutralization Assay for Assessment of Anti-Nipah Virus Neutralizing Activity in Candidate Nipah Vaccines by Muntasir Alam, Md Jowel Rana, Asma Salauddin, Emma Bentley, Gathoni Kamuyu, Dipok Kumer Shill, Shafina Jahan, Mohammad Mamun Alam, Md Abu Raihan, Mohammed Ziaur Rahman, Rubhana Raqib, Ali Azizi, Mustafizur Rahman

“…The assay also exhibited high precision, with intra-assay and intermediate precision geometric coefficients of variation of 6.66% and 15.63%, respectively. Robustness testing demonstrated minimal variation across different pseudotyped virus lots, incubation times, and cell counts. …”
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A Multi-Feature Fusion Approach for Sea Fog Detection Under Complex Background by Shuyuan Yang, Yuzhu Tang, Zeming Zhou, Xiaofeng Zhao, Pinglv Yang, Yangfan Hu, Ran Bo

“…Based on the spatial distribution characteristics of sea fog and clouds, we redesigned the loss function to integrate total variation loss, focal loss, and dice loss. …”
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Unified Depth-Guided Feature Fusion and Reranking for Hierarchical Place Recognition by Kunmo Li, Yongsheng Ou, Jian Ning, Fanchang Kong, Haiyang Cai, Haoyang Li

“…Nevertheless, such unimodal visual representations exhibit inherent susceptibility to environmental variations, inevitably degrading method precision. To address this problem, we propose a robust VPR framework integrating RGB and depth modalities. …”
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Diagnostic performance of a point-of-care high-sensitivity cardiac troponin I assay among Chinese patients with chest pain by Gary Tse, Janet Yuen Ha Wong, Simon Ching Lam, Jonathan Ka Ming Ho, Andy Chun Yin Chong, Calvin Chi Wai Chau, Chi Yip Wong, Johnson Wai Keung Tse, Jeremy Yan Hon Tam

“…Evaluating its diagnostic performance against laboratory standards is imperative, given the variations in cardiac troponin levels across populations. …”
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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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