Risk analysis of the association between EASIX and all-cause mortality in critical ill patients with atrial fibrillation: a retrospective study from MIMIC-IV database by Yu Xia, Anfeng Liang, Mei Wang, Jianlin Zhang

“…Patients in quartiles Q2, Q3, and Q4 had significantly higher mortality than those in Q1, showing a clear trend. Kaplan–Meier analysis confirmed that patients with higher EASIX scores had significantly lower survival. …”
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Adaptive noise mitigation based on peak estimate and feedback compensation in power line communication by Zhou-wen TAN, Hong-li LIU, Jie ZHAN, Zi-ji MA, Shu-gang LIU

“…According to the problem that the threshold for traditional blanking depends on the characteristic parameters of noise and exist large deviation，an adaptive noise mitigation algorithm based on peak estimate and feedback compensation(ANMPEFC)in power line communication was proposed.First，SLM mapping preprocessing method was employed to reduce the PAPR of emission signal，peak information was used to estimate the frequency of the received signal and the relationship between peak frequency and impulse characteristics was established.Next，received signal was processed by blanking block and feedback compensation block adaptively according to estimated pulse frequency.Finally， performance of proposed algorithm and existing algorithms were analyzed based on threshold deviation.According to the results from simulation，it is clearly demonstrated that the proposed ANMPEFC can work in power line impulse noise environment without knowing the noise characteristics and has better performance in contrast to existing impulse noise suppression algorithm.…”
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Centralized Measurement Level Fusion of GNSS and Inertial Sensors for Robust Positioning and Navigation by Mohamed F. Elkhalea, Hossam Hendy, Ahmed Kamel, Ashraf Abosekeen, Aboelmagd Noureldin

“…The experimental results clearly illustrate the considerable improvements achieved by the recommended tightly coupled (TC) algorithm when integrated with MDDA, in contrast to the loosely coupled (LC) algorithm. …”
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On modeling random data to evaluate the performance of statistical tests in cryptography by U. Y. Palukha, M. A. Prokharchyk, Yu. S. Kharin

“…The aim of the study is to develop an algorithm for constructing greatest clearing matrices for such networks under zero cash reserves of all agents.Methods. …”
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Minimal‐cost route planning via Fibonacci‐heap‐typed data structure by Wangjia Zhan, Haohao Qiu, Bo Min, Lin Lin

“…Subsequently, the minimal‐cost route planning algorithm is developed to find a feasible transport route with the minimal cost of clearing obstacles by resorting to the Edmonds' algorithm and some feasible data structures. …”
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Fast Method for DOA Estimation with Circular and Noncircular Signals Mixed Together by Yaoping Zeng, Yixin Yang, Guangyue Lu, Qiongdan Huang

“…Simulation results clearly demonstrate the effectiveness of the proposed algorithm.…”
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ILR-Net: Low-light image enhancement network based on the combination of iterative learning mechanism and Retinex theory. by Mohan Yin, Jianbai Yang

“…Aiming at the existing image enhancement algorithms tend to overly focus on increasing brightness, while neglecting the enhancement of color and detailed features. …”
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Delay probability in adaptive systems based on activation function of classical neural networks by Maja Lutovac Banduka, Vladimir Mladenović, Danijela Milosević, Vladimir Orlić, Asutosh Kar

“…Many improved algorithms have been proposed for nonlinear system designs. …”
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Robot Joint Vibration Suppression Method Based on Improved ADRC by Gang Wang, Shuhua Fang, Qiangren Xu

“…The experimental results clearly show that by applying the new vibration suppression algorithm, the amplitude, vibration velocity, and acceleration of the robot at low speed have decreased <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.533</mn></mrow></semantics></math></inline-formula> mm, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>10.12</mn></mrow></semantics></math></inline-formula> mm/s, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.49</mn></mrow></semantics></math></inline-formula> mm/s², respectively, and at the same time, the velocity stability of the PMSM has been improved. …”
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Improved Synthesis of Global Irradiance with One-Minute Resolution for PV System Simulations by Martin Hofmann, Stefan Riechelmann, Cristian Crisosto, Riyad Mubarak, Gunther Seckmeyer

“…One-minute time series generated with the presented algorithm are compared with measured high resolution data and show a better agreement compared to two existing synthesizing algorithms in terms of temporal variability and characteristic frequency distributions of global irradiance and clearness index values. …”
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Blood Scattering Model for Pulsed Doppler by Piotr KARWAT, Andrzej NOWICKI, Marcin LEWANDOWSKI

“…The signal processing results enable to reconstruct correctly the velocity profile and its time dependence. The results clearly confirm that the data generated by the algorithm are suitable for Doppler signals processing. …”
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Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model by Xinxiao Li, Yanyan Li, Shushuo Xu, Penghao Wang, Meng Hu, Haibin Li, Yongbin Wang

“…To assess how well the BSTS algorithm performs predictions, we split the observations into various training and testing ranges. …”
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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…The paper proposes an algorithm for the selection of the mobile phase and methods of chromatography of BAS of medicinal products. …”
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Tracking Lava Flow Cooling from Space: Implications for Erupted Volume Estimation and Cooling Mechanisms by Simone Aveni, Gaetana Ganci, Andrew J. L. Harris, Diego Coppola

“…Traditional methods based on Mid-Infrared (MIR) satellite imagery require clear-sky conditions during eruptions and are prone to sensor saturation, limiting data availability. …”
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Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets by Julian Marcon, Philipp Weinhold, Mona Rzany, Matthias P. Fabritius, Michael Winkelmann, Alexander Buchner, Lennert Eismann, Jan-Friedrich Jokisch, Jozefina Casuscelli, Gerald B. Schulz, Thomas Knösel, Michael Ingrisch, Jens Ricke, Christian G. Stief, Severin Rodler, Philipp M. Kazmierczak

“…Abstract Background To investigate a non-invasive radiomics-based machine learning algorithm to differentiate upper urinary tract urothelial carcinoma (UTUC) from renal cell carcinoma (RCC) prior to surgical intervention. …”
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A web-based prediction model for brain metastasis in non-small cell lung cancer patients by Jianing Chen, Li Wang, Li Liu, Qi Wang, Jing Zhao, Xin Yu, Shiji Zhang, Chunxia Su

“…To enhance interpretability, the relative importance of the 12 candidate variables was ranked, providing clinicians with a clear understanding of how each factor contributes to the prediction of BM risk. …”
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Development of policy research-evidence organizer and public health-policy evaluation tool (prophet): a computing paradigm for promoting evidence-informed policymaking in Nigeria by Kingsley Otubo Igboji, Chigozie Jesse Uneke, Fergus U. Onu, Onyedikachi Chukwu

“…Critical research evidence contributes in strengthening health policies to ensure clear cut targets and context specifics that adequately addresses identified health challenges and inequities. …”
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Application of cross-polarization imaging in distinguishing between squamous and columnar epithelium of the cervix by Cat Phan Ngoc Khuong, Hieu Nguyen Trung, Duc Le Huynh, Quynh Nguyen Ngoc, Hai Pham Thanh, Long Nguyen, Hanh Tran Thi Thu, Tu Ly Anh, Tien Tran Van

“…Notably, the combination of the cross-polarization imaging technique with our proposed algorithm enables the clear observation of the SCJ boundary. …”
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Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

“…Objective·To construct a cervical vertebra image segmentation model by using a diffusion model with the Transformer deep learning algorithm, and evaluate its segmentation performance, to address the clinical challenge of accurately assessing complex changes in skeletal morphology during the growth and developmental peaks of malocclusion.Methods·Accurate cervical vertebra segmentation was performed on cephalometric radiographs from 185 orthodontic patients (44 cases from the Stomatological Hospital of Chongqing Medical University and 141 cases from the Stomatological Hospital of Xi'an Jiaotong University) by using a method combining Transformer and diffusion models. …”
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Forecasting Insurance Company Commitments with Long Short-Term Memory Models by Negar Tehraniyazdi, Reza Vaezi, Saeed Setayeshi, Iman Raeesi Vanani

“…A Long Short-Term Memory (LSTM) neural network algorithm is employed, recognized for its strong predictive capability in time series data. …”
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