Physics-Informed Neural Networks for Heat Pump Load Prediction by Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, Ionut Anghel, Andrei Pelle

“…Data-driven prediction solutions may have difficulty capturing the dynamics and nonlinearities of the thermodynamics involved. The physics-informed models combine the monitored observed data with theoretical knowledge of heat pumps and directly integrate physical constraints, allowing for better generalization and reducing the dependence on large volumes of data. …”
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An Ultra‐Short‐Term Multi‐Step Prediction Model for Wind Power Based on Sparrow Search Algorithm, Variational Mode Decomposition, Gated Recurrent Unit, and Support Vector Regressio... by Yulong Chen, Xue Hu, Xiaoming Liu, Lixin Zhang

“…Low‐frequency sub‐modes data with low complexity and strong nonlinearity are predicted with SVR. The proposed model was evaluated against seven others using three error metrics: MAE, RMSE, and R2, along with their corresponding enhancement percentages. …”
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ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors by Yang Liu, Guangxu Zhou, Lei Guo, Zibo Sun

“…For a class of permanent magnet synchronous motors (PMSM) characterized by strong coupling, significant nonlinearity, load uncertainties, and external disturbances, this paper investigates an extended state observer-based direct model-free adaptive predictive compensation control (ESO-dMFAPCC) method for speed regulation. …”
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Predicting Response of Constructed Tunnel to Adjacent Excavation with Dewatering by Panpan Guo, Feifei Liu, Gang Lei, Xian Li, Cheng-wei Zhu, Yixian Wang, Mengmeng Lu, Kang Cheng, Xiaonan Gong

“…The tunnel maximum vertical displacement, maximum bending moment, and maximum shear force decrease nonlinearly with an increase in the tunnel-to-excavation distance and the initial water level. …”
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Accurate prediction for electro-oxidation regeneration of chromium- containing waste acid based on artificial neural network by SHI Yaqi, MENG Guangyuan, CHEN Peng, ZHANG Xinwan, FU Tao, YANG Zhengwu, ZHANG Liansheng, ZHANG Lehua

“…The artificial neural network model overcame the difficulty of predicting electrochemical processes due to multi-parameter, nonlinearity and time variability, and could realize the prediction of Cr(Ⅵ) regeneration under complex mapping conditions, which was of great significance for the optimization and control of electrochemical processes.…”
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Fuzzy Terminal Sliding Mode Control with Compound Reaching Law and Time Delay Estimation for HDU of Legged Robot by Kaixian Ba, Bin Yu, Yaliang Liu, Zhengguo Jin, Zhengjie Gao, Junxiao Zhang, Xiangdong Kong

“…However, there are some common problems in the HDU resulted from hydraulic systems, such as strong nonlinearity, asymmetry dynamic characteristics between positive and negative moving directions of the piston rod, and time-varying parameters. …”
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Enterprises as Complex Systems: Navigating Challenges and Embracing Resilience by Dimitry Borissov

“…These frameworks emphasize interdependencies, nonlinearities, feedback loops, and emergent behaviors that define organizational systems. …”
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The Association between Standardized Serum 25-Hydroxyvitamin D Concentration and Risk of Anemia: A Population-Based Cross-Sectional Study by Yang Zhang, Xiaotong Wang, Jia Wang, Weiwei Hu, Xiaolu Song, Ding Yuan, Xianliang Yan

“…Serum 25(OH)D concentration was associated with anemia risk in a U-shaped pattern, as shown by an RCS plot (P for nonlinearity <0.001). In addition, RBC count and Hb levels initially increased and then decreased as serum 25(OH)D levels increased. …”
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Repetitive Control of Robotic Joint With Variable Impedance Utilizing Agonist-Antagonist Muscle Pair Structure Based on Virtual Trajectories by Kaho Umeda, Yinlai Jiang, Hiroshi Yokoi, Shunta Togo

“…We developed a robotic joint with an agonist-antagonist muscle pair structure that can easily change its mechanical impedance using a position-controlled motor combined with a grommet, which changes its stiffness nonlinearly with respect to elongation, in addition to a wire traction mechanism as the control target. …”
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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

“…Initially, the research introduces a finite element (FE) model for ECC-CES columns, incorporating material and geometric nonlinearities to capture the inelastic behavior of both ECC and steel through appropriate constitutive material laws. …”
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Fine Particle pH and its Impact on PM2.5 Control in a Megacity of Central China by Mingming Zheng, Ke Xu, Lianxin Yuan, Nan Chen, Menghua Cao

“…The effect of NHx control on PM2.5 reduction is nonlinearly affected by pH. It is directly effective at low pH, but more ammonia control is required before achieving effectiveness at high pH. …”
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Design of Interface ASIC with Power-Saving Switches for Capacitive Accelerometers by Juncheng Cai, Yongbin Cai, Xiangyu Li, Shanshan Wang, Xiaowei Zhang, Xinpeng Di, Pengjun Wang

“…The performance of the MEMS accelerometers was evaluated under a 3.3 V power supply, achieving a power consumption of 3.3 mW, an accelerometer noise density below 1 μg/√Hz, a sensitivity of 1.65 V/g, a measurement range of ±1 g, a nonlinearity of 0.15%, a bandwidth of 300 Hz, and a bias stability of approximately 36 μg. …”
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Continuous tunability of refractive index contrast in LiNbO3 optical waveguides fabricated by high-vacuum vapor-phase proton exchange by Mihnea Raoul Sandu, Alicia Petronela Rambu, Laura Hrostea, Sorin Tascu

“…This paper presents a simple and reliable method allowing well-controlled index contrast tunability between high-index contrast (Δn e  = 0.1) and low-index contrast (Δn e  = 0.035) while benefiting from the optical nonlinearity of LiNbO3 waveguides fabricated using HiVac-VPE technique. …”
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Creep Energy Evolution of Red-Bed Soft Rocks in South China under Chemical-Stress-Seepage Coupling by Shuguang Zhang, Fanyao Peng, Yingbo Li, Zhifeng Liu, Wenbo Liu

“…The elastic energy density and dissipated energy density in the loading stage and creep stage all increase nonlinearly with loading time. The density of dissipated energy in the creep phase is lower than that in the loading phase, but the opposite is true in the higher stress phase, and the law of energy dissipation can explain the hardening damage effect in the creep process of soft rock samples. …”
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Association between composite dietary antioxidant indices and anemia: NHANES 2003-2018. by Qian Wu, Zhiyu Wang, Jieyu Xia, Hui Xu, Gang Huang, Guangyong Feng, Xiaoxia Gou

“…The RCS analysis revealed linear negative relationship between CDAI and anemia (P for nonlinearity = 0.619). Except for sex, smoking, diabetes and hypertension, no statistically significant interactions were found in any subgroup analysis (P < 0.05 for interaction).…”
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Influence of Organic Matter Content on Engineering Properties of Clays by Yue Gui, Qiumin Zhang, Xiaqiang Qin, Jianfei Wang

“…The experimental results found that, with the change of organic matter content, the specific gravity and void ratio of clay changed linearly, while the water content, Atterberg limit, shear strength, cohesion, and friction angle changed nonlinearly with the increase of organic matter content. …”
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Pull-out bond efficiency and load capacity of the bonded HSC strips reinforced with steel and FRP bars to concrete by M.H. Seleem, F.A. Megahed, A.A.M. Badawy, I.A. Sharaky

“…The geometry and materials' nonlinearity were considered in the FE model to precisely predict the behaviour of the experimentally tested specimens. …”
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Poor control of pain increases the risk of depression: a cross-sectional study by Junjian Zeng, Junjian Zeng, Zhiqiang Liao, Zhiqiang Liao, Aiqing Lin, Aiqing Lin, Yu Zou, Yu Zou, Yixun Chen, Yixun Chen, Zhonghua Liu, Zhonghua Liu, Zhidong Zhou, Zhidong Zhou

“…The RCS analysis indicated a linear relationship between pain duration and depression (P for nonlinearity = 0.427).ConclusionThis study’s results indicate that inadequate pain control, resulting in extended pain duration, places patients at a higher risk for depression.…”
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The relationship of platelet distribution width with all-cause and cardiovascular mortality in peritoneal dialysis patients by Chunyu Lu, Shuiqin Cheng, Wenjing Fan, Zhihong Zhang, Jinquan Wang

“…The adjusted RCS analysis further showed that the relationship of PDW with all-cause and cardiovascular mortality was linear (p for nonlinearly = 0.143 and 0.062).Conclusion Elevated PDW is independently associated with all-cause and cardiovascular mortality in PD patients.…”
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Association between remnant cholesterol and depression in middle-aged and older Chinese adults: a population-based cohort study by Yang Zhou, Yan Lin, Yanhui Yang, Wang Lei, Juan Xu, Yuanzeng Zhu

“…Following adjustment for confounding factors, individuals in the higher RC level quartile exhibited a higher depression risk (Q3: odds ratio [OR]: 1.75, 95% confidence intervals [CI]: 1.29–2.39; Q4: OR: 2.68, 95% CI: 1.96–3.68, P for trend &lt; 0.001), with a linear correlation between RC levels and depression (P for nonlinearity = 0.108). And the subgroup analysis yielded results consistent with the primary findings.ConclusionThis study revealed that in China, in middle-aged and older individuals, elevated RC levels were associated with a higher depression risk, suggesting RC is a promising target for depression prevention and treatment.…”
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