Pilot study: In vitro reduction of hemoglobin from canine blood with hemoperfusion using the Cytosorb® adsorber. by Kathrin Spiegel, René Dörfelt, Katrin Hartmann, Florian Sänger

“…The reduction plateau was reached after 13 L. The hemoglobin reduction ratio in the circular setup at 3 L processed cfHb-solution was 25.0% (23.1-33.3%) and was not different from the linear setup (p = 0.400). …”
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Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques by Shaker El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab Hendawi, Farid A. Badria, Doug Young Suh

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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…This systematic literature review evaluates predictive models in education, focusing on their role in forecasting student performance, identifying at-risk students, and personalising learning experiences. …”
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Enhancing the Catalytic Performance of PdNPs for Cr(VI) Reduction by Increasing Pd(0) Content by Hongfei Lai, Ling Tan, Zhenkun Shi, Shiyi Huang, Wenjia Yu, Guotong Wei, Jianping Xie, Shuang Zhou, Chaoyu Tian

“…In addition, functional groups such as phosphate, amine, hydroxyl, and carboxyl were found to play key roles in palladium binding, underscoring the importance of surface chemistry in the adsorption and reduction process. A strong positive correlation was observed between the Pd(0) content and catalytic activity. …”
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Efficient data-driven predictive control of nonlinear systems: A review and perspectives by Xiaojie Li, Mingxue Yan, Xuewen Zhang, Minghao Han, Adrian Wing-Keung Law, Xunyuan Yin

“…Model predictive control (MPC) has become a key tool for optimizing real-time operations in industrial systems and processes, particularly to enhance performance, safety, and resilience. …”
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The interplay between executive functions and updating predictive representations by Felipe Pedraza, Teodóra Vékony, Bence C. Farkas, Frederic Haesebaert, Romane Phelipon, Imola Mihalecz, Karolina Janacsek, Barbara Tillmann, Royce Anders, Gaën Plancher, Dezso Nemeth

“…A key mechanism is statistical learning, the continuous, implicit extraction of probabilistic patterns from the environment, which forms the basis of predictive processing. However, the interplay between executive functions (EF) and the rewiring – or updating – of these probabilistic representations remains largely unexplored. …”
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Predictive power of selection tests on the academic performance of medical students by María E. Calles Santoyo, Raúl De León Escobedo, Ricardo Salas Flores, Brian González Pérez, Erick E. Hernández Molina

“…This study analyzes the predictive power of various selection tests for admission to the bachelor’s degree in medical surgery at the Autonomous University of Tamaulipas. …”
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Effect of Deformation of Ti-3Al-8V-6Cr-4Zr-4Mo Alloy under Varying Thermo-Mechanical Conditions on its Microstructure and Deformation Behavior by S. Tomasik, A. Łukaszek-Sołek, T. Śleboda, Ł. Lisiecki

“…The study indicates that the analyzed alloy needs to undergo heat treatment to homogenize its structure before it can be subjected to processing. The processing maps developed using both the Semiatin-Lahoti and Murty criteria were found to be effective in predicting flow instability and optimising hot forming parameters. …”
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Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data by Ahmed Imtiaz, Fahad Bin Islam Swapnil, Syed Rayhan Masud, Debajyoti Karmaker

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Remaining Useful Life Prediction Method for Stochastic Degrading Devices Considering Predictive Maintenance by Qing Dong, Hong Pei, Changhua Hu, Jianfei Zheng, Dangbo Du

“…In this paper, an adaptive RUL prediction method is proposed for repairable degrading devices in order to improve the accuracy of prediction results and achieve adaptability to future degradation processes. …”
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Leveraging diverse cell-death patterns to predict to predict prognosis and immunotherapy in hepatocellular carcinoma by Xiaoxiang Zhang, Dongxiao Ding, Dianqian Wang, Yunsheng Qin

“…Inability to initiate the process of programmed cell death (PCD) is closely associated with cancer progression, thus influencing patients’ prognosis. …”
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Prediction of the main degradation mechanisms in a hot forging steel die: Optical scanning, simulation, microstructural evolution, and neural network modeling by Aliakbar Emamverdian, Catalin Pruncu, Hongsheng Liu, Atabak Rahimzadeh, Luciano Lamberti

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Real-Time Long-Wave Infrared Semantic Segmentation With Adaptive Noise Reduction and Feature Fusion by Haejun Bae, Dong-Goo Kang, Minhye Chang, Kye Young Jeong, Byung Cheol Song

“…The framework incorporates a Stripe noise Denoising Module (SDM) and a Boundary Enhancement Module (BEM), which leverage frequency-domain filtering and learnable weights to adaptively process noisy input data and improve boundary prediction. …”
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Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting by Abdulwhab Alkharashi, Gaganjot Kaur, Hadeel Alsolai, Hatim Dafaalla, Somia Asklany, Othman Alrusaini, Ali Alqazzaz, Menwa Alshammeri

“…In rapidly changing scenarios, uncertainty and chaotic oscillations often obstruct time series prediction. However, Type-1 fuzzy systems face challenges in handling high uncertainty levels, therefore, Type-2 fuzzy systems become a better solution. …”
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Studies of the Accelerating Effect of Thiourea on the Reduction of Zn in Mixed Water–Organic Solvents at the Mercury Electrode by B. Marczewska

“…The accelerating influence of thiourea on the Zn II /Zn(Hg) reduction process was investigated in the following mixed solutions: water–methanol (MeOH); water–ethanol (EtOH); water–dimethyl sulphoxide (DMSO); water–dimethylformamide (DMF). …”
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Transitioning Ammonia Production: Green Hydrogen-Based Haber–Bosch and Emerging Nitrogen Reduction Technologies by Cátia Ribeiro, Diogo M. F. Santos

“…This study highlights the near-term feasibility of decarbonizing ammonia production through green hydrogen in the HB process, while outlining the long-term potential of electrochemical nitrogen reduction as a sustainable alternative once the technology matures.…”
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Energy optimization model of multi-energy system considering distributed photovoltaic coordinated carbon reduction by Shi Qiu, Shuo Liu, Guoqiang Lu, Kun Zhang, Yun Teng, Zhe Chen

“…Abstract Aiming at the problems of complex characteristics such as nonlinearity, multivariable, and strong coupling in the energy optimization process of thermal power plant station under the carbon reduction constraints due to the multiple types of equipment and large amount of operation data in the multi-energy system (MES), an energy optimization method of multi-energy system considering distributed photovoltaic coordinated carbon reduction is proposed in this paper. …”
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Analysisof the Vibration Reduction Characteristics of Boring Bar with A Variable Mass Dynamic Vibration Absorber by LIU Qiang, LIU Xian-li, WU Shi, YANG Lin, LI Rong-yi, YANG Hao

“…In the boring process the boring bar in the cantilever state is used，which reduces stiffness of the boring bar. …”
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Understanding temperature-rain data using ID3 based concept reduction technique in FCA by S. Usharani, S. Kaspar

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Interfacial tension reduction and viscosity control by chemically grafted polymeric surfactant for enhanced oil recovery by Amin Yousefrooz, Mohammad Hossein Shabani, Arezou Jafari, Zahra Fakhroueian, Mehrdad Manteghian

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