A face gear grinding method and its experimental verification using cylindrical internal gear grinding machine by ZHANG Congcong, CAO Xuemei, DENG Xiaozhong, HAN Zhengyang, AN Xiaotao, XU Hao

“…The face gear tooth surface equation that contains the machine tool parameter errors is derived, and the influence of the parameter errors on the topological deviation of the tooth surface is analyzed. …”
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Dynamic Energy Sparse Self-Attention Based on Informer for Remaining Useful Life of Rolling Bearings by Cheng Shi, Qifei Li, Hui Chen, Yuanwei Song, Qianqi Le

“…Experimental results obtained on two benchmark datasets demonstrate that the proposed model outperforms existing advanced methods, achieving a reduction in mean absolute error and root mean square error, demonstrating its superior ability to handle complex bearing degradation prediction tasks.…”
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ASSESSMENT OF INFLUENCE OF RANGE FINDERS WITH THE IMPROVED CHARACTERISTICS ON THE ACCURACY OF GEOMETRICAL PARAMETERS CONTROL OF VEHICLES by A. M. Askhabov, E. S. Voevodin, V. A. Zeer, A. S. Kashura

“…As aresult, the mean square error of measurement of distance between control points significantly decreases at reduction of the passport error of laser range finders. …”
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Performance Investigation of Low-Resolution Coherent Optical Communication System with Low-Complexity Adaptive Equalizer by Zhiyuan Chen, Xiangyong Dong, Jiaqi Gao, Zhenming Yu, Kun Xu

“…The simulation results indicate that error-feedback noise shaping (EFNS) is highly effective in suppressing digital-to-analog converter (DAC) quantization noise, thereby reducing resolution demands on the DAC. …”
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A Study on Improving of Adaptive Sensorless Control Performance via Funnel Control by Jun-Seo Han, Gyung-Jae Cho, Hyeon-Ji Jin, Geun-Ho Lee

“…This creates additional errors by the observer, which results in a reduction in sensorless estimation performance. …”
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EFFECT OF PHASE-SHIFT INTERFERENCE ON THE NOISE IMMUNITY OF CORRELATION DEMODULATOR OF SIGNALS WITH MULTIPLE PHASE SHIFT KEYING by Gennady V. Kulikov, Van Dung Nguyen, Trung Tien Do

“…The dependencies of bit error probability on the signal-to-noise ratio, on the interference intensity, on the relative transmission speed of the interference, and on its detuning relative to the center frequency of the spectrum of the useful signal are calculated. …”
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Simulated synapse loss induces depression-like behaviors in deep reinforcement learning by Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron Gruber, Robert J. McDonald

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Decrease in Computational Load and Increase in Accuracy for Filtering of Random Signals by Phil Howlett, Anatoli Torokhti, Pablo Soto-Quiros

“…The procedure is based on the reduction of a large covariance matrix to a collection of smaller matrices. …”
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Scalable FPGA Implementation of a Reliability-Based Direct Turbo Decoder for Short Block Codes by Senthil Murugan, Ramesh Bhakthavatchalu, Karthi Balasubramanian, B. Yamuna, Deepak Mishra, Sree Ranjani Rajendran

“…Turbo codes are widely used in satellite and mobile communication systems for their strong error-correcting performance. However, conventional iterative decoders such as Log-MAP suffer from high complexity and exhibit error floors in short block-length regimes. …”
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Symmetrical Components Digital Filters for Microprocessor-Based Protection Input Signals by F. A. Romaniuk, V. Yu. Rumiantsev, Yu. V. Rumiantsev

“…A significant reduction in this effect can be achieved by using shapers with correction of dynamic errors to isolate the orthogonal components of the input signals. …”
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Modeling the effect of building information modeling (BIM) in reducing rework in construction projects using structural equations method by malihe zoghi, ohamad jafar fesharaki, mehrdad Hemasian ettefagh

“…The use of the structural equation research method to influence the relationship between variables in this research showed that identifying errors and recording them at the right time and place can lead to a reduction in rework in project implementation. …”
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Advancements in the Treatment of Mucopolysaccharidoses: From Established Therapies to Gene Therapy by Joanna Wanat, Wojciech Homa, Aleksandra Warunek, Gabriela Gronowicz, Izabela Dzikowska, Agata Siejka, Daria Stefaniak, Weronika Zielińska, Michał Chról

“… Introduction and purpose Mucopolysaccharidoses (MPS), a subset of inborn errors of metabolism (IEM), are genetic disorders requiring pediatricians to recognize non-specific symptoms and carefully monitor newborns. …”
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Unfavourable results following reduction mammoplasty by Lakshmi Saleem, Jerry R. John

“…Breast reduction is a common cosmetic surgical procedure. …”
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Dynamic reduction method for frame structures by Buntara S. Gan, Kien Nguyen-Dinh, Mitsuharu Kurata, Eiji Nouchi

“…After conducting dynamic analysis to the SDOF system, the time historical responses of the SDOF system can be used to recover back the time historical responses in the MDOF system of frame structures with negligible error.  …”
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The Role of Forcing and Parameterization in Improving Snow Simulation in the Upper Colorado River Basin Using the National Water Model by Yanjun Gan, Yu Zhang, Cezar Kongoli, Ming Pan

“…Adjusting AORC precipitation with SNOTEL observations reduced SWE root‐mean‐square error (RMSE) by 66%, adjusting temperature trimmed it by 10%, and adjusting both decreased it by 69%. …”
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Optimizing low complexity encoding method for systematic polar code by Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU

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The gradual loss of vision by N. du Toit

“…Cataracts, refractive error, corneal blindness and early diabetic macular oedema are generally reversible. …”
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Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…Experimental validation on the KITTI dataset demonstrates a significant reduction in offset error compared to state-of-the-art methods like DeepVO and TartanAir.…”
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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…<b>Background/Objectives:</b> In automatic medical image analysis, particularly for diabetic retinopathy, the accuracy of labeled data is crucial, as label noise can significantly complicate the analysis and lead to diagnostic errors. To tackle the issue of label noise in retinal image segmentation, an innovative label correction framework is introduced that combines Confident Learning (CL) with a human-in-the-loop re-annotation process to meticulously detect and rectify pixel-level labeling inaccuracies. …”
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Severe Hypoglycemia and Pituitary Stalk Interruption Syndrome in a 5-Year-Old Boy with Coexistent Hyperprolinaemia: A Case Report and Literature Review by Aikaterini Theodosiadi, Ilektra Toulia, Maria G. Grammatikopoulou, Fotini Adamidou, Danai Chourmouzi, Charalampos Antachopoulos, Athanasios E. Evangeliou, Dimitrios G. Goulis, Kyriaki Tsiroukidou

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