PSOA-LSTM: a hybrid attention-based LSTM model optimized by particle swarm optimization for accurate lung cancer incidence forecasting in China (1990–2021) by Nannan Xu, Guang Yang, Linlin Ming, Jiefei Dai, Kun Zhu

“…Visualization results across 12 age groups and both genders further validated the model's ability to capture temporal trends and reduce prediction error, demonstrating enhanced generalization and robustness.ConclusionThe proposed PSOA-LSTM model outperforms benchmark models in predicting lung cancer incidence across demographic segments, offering a reliable decision-support tool for public health surveillance, early warning systems, and health policy formulation.…”
Get full text

Theoretical calculation method of hyperbolic rotating thin shell bending problem by Er ZHANG, Shaosong MIN, Lin HUA, Cong LIU, Guotao Chen

“…ConclusionThe proposed method can provide useful references for the design and optimization of similar structure.…”
Get full text

STag marking visual guidance method for USV docking by Yongxin XIAO, Xianbo XIANG, Dian KONG, Lichun YANG, Shaolong YANG

“…Amplitude limiting filtering and first-order low-pass filtering are then performed to obtain the required lateral offset and heading deviation for line-of-sight (LOS) docking guidance.ResultsIn the static performance test, the average angular error of target detection is 6.85° and the average distance error is 0.056 m. …”
Get full text

Statistical-Experimental Investigation of the Effect of Focal Length and Displacement on Laser Drilling of Hastelloy-X Superalloy Sheet using Single Pulse Fiber Laser by Mostafa Ghadimi Dafrazi, Reza Shoja Razavi, Masood Barkat, Ali Khoram, Mohammad Erfanmanesh

“…Also, the variation of the hole diameter was quite acceptable from 183 μm to 1768 μm with the single pulse method on the Hastelloy-X sheet with a thickness of 1 mm.Conclusion: The optimized results of the answers revealed that the maximum value of the hole inlet diameter was 997.848 μm, the maximum hole outlet diameter was 771.341 μm, the taper was 6.492 degrees, and finally the entrance circularity error was 0.0167.…”
Get full text

Design of pineapple outer contour measurement device based on triangulation by LI Ying, DONG Yao, WANG Kaibin, HE Zifen, YUAN Hao

“…ObjectiveTo solve the problem that pineapple dimensions are not easy to obtain and lack of processing data during the processing of pineapple automated peeling machine.MethodsThe cylindrical coordinate system was used to describe the positional coordinates of the pineapple surface points, the required parameters were calculated by combining the contact measuring method and triangulation method, the overall scheme of the pineapple outer contour measuring mechanism was designed, the static force and buckling analysis of the measuring rod was carried out by ANSYS, and the experimental bench was built to carry out the verification experiments.Resultsthe maximum stress of the measuring rod during the measurement process was 32.463 MPa, and the maximum deformation was 0.21 mm, which meets the requirements of structural rigidity; The maximum error of the measurement test was 1.8 mm, which could be controlled within 1%, and the average measurement time was 31.6 and 35.2 s.ConclusionThe measurement accuracy and time of the experimental setup can satisfy the needs of the pineapple's actual production and processing.…”
Get full text

Validity of heart rate measurements in wrist-based monitors across skin tones during exercise. by Stanley Hughwa Hung, Kelsey Serwa, Gillian Rosenthal, Janice J Eng

“…<h4>Conclusion</h4>HR measurement error using a wrist-based device was greater with increasing exercise intensity for people with darker skin tones.…”
Get full text

Effect of Implant Angulation on the Rotational Displacement of a 3-Unit Bridge after Digital Impression by Mahnaz Arshad, Amirmohsen Asgari, Mohamad Javad Kharazifard, Narges Ameri

“…Conclusion. In digital impressions of angulated implants in 3-unit bridges by using 3Shape and Sirona scanners, the rotational error decreases as the interimplant angle increases.…”
Get full text

Visual Performance after a Unilateral or Bilateral Implantation of Enlarged Depth-of-Focus Intraocular Lens in Patients with Cataract: A Prospective Clinical Trial by Se Hyun Choi, Hyo kyung Lee, Chang Ho Yoon, Mee Kum Kim

“…A questionnaire was used to investigate glare, spectacle dependency, and satisfaction at 12 weeks. The mean numerical error and mean absolute error were compared between intraocular lens formulas to assess the best-fit formula. …”
Get full text

Optimized Neural Network Method for Temperature Estimation along Optical Fiber by LI Suya, DONG Yanwei, LI Lin, ZHANG Chi, LI Nan, NING Qi, CHEN Yonghui

“…However, when the training goal exceeds the critical value, the temperature error increases with the training goal.【Conclusion】When ANN is used to estimate optical fiber temperature of distributed optical fiber sensing based on Brillouin scattering, it is recommended to select a single-hidden-layer ANN and the number of hidden layer neurons is set to one. …”
Get full text

Algorithm for numerical calculation of nonlinear lenticular membrane-pneumatic systems by iterative method of parameter increments taking into account the aftereffect of air pressu... by A. Yu. Kim, M. F. Amoyan, V. E. Khapilin

“…The authors have developed a technique for computer static calculation of geometrically and physically nonlinear lenticular membrane-pneumatic systems of coatings for large span structures by the iterative method of parameter increments with the phased application of the finite element method in the form of the displacement method, the universal equation of gas state and the improved Euler-Cauchy numerical procedure of the third order of accuracy.Conclusion. Ignoring the aftereffect in the calculations means the imbalance of the system due to unbalanced pneumatic forces calculated with an error of 11.2% and affecting, as the calculations showed, in the amount of approximately 7% percent on the increment of excess air pressure in the lens.…”
Get full text

Demographic Assessment of Laser Therapies in 0–18-year-olds: A Retrospective Study by Priyanka, Nancy P Saharia, Shivani Mathur

“…For all the statistical tests, <italic>p</italic> < 0.05 was considered to be statistically significant, keeping α error at 5% and β-error at 20%, thus giving power to the study as 80%. …”
Get full text

Comparison of Modern Surgical Techniques in a Treatment of Myopia by Karla Bodakoš, Mateja Jagić, Antonio Kokot

“…Suboptimal refractive result that was corrected by additional correction amounts 1,3 % meaning only 2 of patients underwent the correction procedure due to suboptimal refractive error. Conclusion: Short-term and long-term visual outcome after binocularly performed PRK, LASIK and ICL showed success in all groups. …”
Get full text

Nonlinear dynamic characteristics of modified variable hyperbolic circular arc tooth trace cylindrical gears by Dengqiu Ma, Zhenhuan Ye

“…Firstly, the calculation methods or formulas of the time-varying stiffness, transmission error and meshing impact were given. Next, the mathematical model of the modified VH-CATT cylindrical gear was deduced based on the forming theory. …”
Get full text

Moral Distress Challenges in Nurses During Early Stage of COVID-19 Pandemic: A Qualitative Study by Ebrahim Aliafsari Mamaghani, Farzaneh Soleymani, Mina Hashemiparast

“…Conclusion: Providing a codified treatment plan at the first opportunity is effective to prevent trial and error in the treatment and care of patients. …”
Get full text

SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

“…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m³/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
Get full text

Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…(sh600009), the VMD–TMFG–LSTM model achieves a 69.76% reduction in Root Mean Squared Error (RMSE), a 71.41% reduction in Mean Absolute Error (MAE), a 46.28% reduction in runtime, and an improvement of 0.2184 in R-squared (R2), indicating significantly higher prediction accuracy. …”
Get full text

Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…However, the vulnerability of neural networks to noise, adversarial attacks, and weight error injections significantly diminishes their robustness and overall effectiveness. …”
Get full text

Performance Analysis of Battery State Prediction Based on Improved Transformer and Time Delay Second Estimation Algorithm by Bo Gao, Xiangjun Li, Fang Guo, Xiping Wang

“…Results showed that for LiNiMnCoO₂ positive electrode datasets, the model’s max SOC estimation error was 2.68% at 10 °C and 2.15% at 30 °C. For LiFePO₄ positive electrode datasets, the max error was 2.79% at 10 °C (average 1.25%) and 2.35% at 30 °C (average 0.94%). …”
Get full text

Practical use of radiomic features as a metric for image quality discrimination in [18F] FDG-PET: a pilot study by Jane Burns, Hannah O’Driscoll, Eamon Loughman

“…Fréchet distance analysis, Mean Square Error and Mean Absolute Error display the level of agreement between features and radiologist following the rescale of the data. …”
Get full text

Medical Malpractice Litigation Following Hindfoot Arthrodesis by Martinus Megalla MD, Seema M. Patel BS, Matthew Anfuso BS, Alexander Hahn MD, Zachary T. Grace MD, Lauren E. Geaney MD

“…The most commonly alleged category of negligence was procedural/intraoperative error (75%) followed by post-surgical error (38%) and failure to inform (31%). …”
Get full text