Pathway to care among adolescents and young adults with breast cancer in Nigeria: a mixed methods study by Atara Ntekim, Ayorinde Folasire, Oluwaponmile A. Odukoya, Anthonia Sowunmi, Adewunmi Alabi

“…The aim of this study was to determine the extent of delays in accessing care and possible reasons for such delays among young adult females with breast cancer in Nigeria. Methods A mixed-method convergent parallel study design was used. …”
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A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

“…Subsequently, it systematically reviews current methods for reliability assessment and lifetime prediction in the thermal aging process of electrical machine insulation, with a focus on the application of different modeling approaches such as physics-of-failure (PoF) models, data-driven models, and stochastic process models in insulation lifetime modeling. …”
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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

“…This paper proposes a method for monitoring and analyzing driver physiological characteristics by combining electronic vehicle identification (EVI) with multimodal biometric recognition. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). …”
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Effects of fertilization methods and film removal periods on soil nutrients and microbial community structure in tobacco fields of Southern Anhui Province by Chen Shen, Yifeng Yan, Zhouyang Pei, Muhammad Riaz, Hongxu Dong, Zhiyuan Liu, Long Yin, Chaoqiang Jiang, Hao Xia

“…The rational application of fertilization methods and the timing of film removal are crucial for enhancing tobacco yield and quality, as well as for promoting soil health. …”
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Carbon Footprint Assessment in Shrimp Pond Farming of Penaeus vannamei Based on Life Cycle Assessment Methods by Yunfei WANG, Xinmeng WANG, Ying LI, Jinzhen YU, Jie KONG, Jihong ZHANG

“…Existing research analysis indicates that the carbon footprint of 1 kg of P. vannamei farmed year-on-year with different farming methods are in the following order: large surface culture (5.60 kgCO2e) < small shed culture (18.25 kgCO2e) < semi-intensive ponds (52.3 kgCO2e) < factory farming (198 kgCO2e). …”
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Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…There were important differences seen between the services offered across different geographical regions of the UK, resulting in inequity of care. …”
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Prediction method of TBM excavation axis deviation for small turning tunnels based on LSTM neural network by Lijie DU, Hongda HAO, Qingwei LI, Yalei YANG, Weidong ZHANG, Jiayi LIU, Hongchao FENG

“…Taking the horizontal deviation as an example, the TBM tunneling axis deviation is predicted. Then, the different structures of the model are analyzed. Different LSTM layers and different number of neurons are selected to form a new model structure, and the optimal model structure and optimal input time periods of different prediction time are determined. …”
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A heuristic method based on LP relexation to solve the multiple allocation modular hub location problem by Zahra Arabzadeh Nosrat Abad, Farid Momayezi, Nader Ghaffarinasab

“…Due to long solution times for the MIP model, a heuristic solution method based on LP relaxation of the integer variables is developed for the proposed problem, which is able to obtain near-optimal solutions in less time.Findings: The developed mathematical model is implemented on the air passenger transportation data for the airports of the United States of America, which is known as the CAB data set. …”
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Influence of stimulated plasticity training method on coordination indicators of high pedagogic educational estableshments’ girl students by A.N. Kolumbet

“…Plasticity of body movements was achieved at high level of different muscular groups’ coordination, optimal rhythm, rational correlation of tension and relaxation. …”
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Aircraft Flight Autonomous Decision-Making Method Based on Target Predicted Trajectory and Markov Decision Process by Yang Zhou, Xinmin Tang, Xuanming Ren

“…Secondly, we adopt the Markov Decision Process as the autonomous decision-making method for the own aircraft, proposing a method by which to calculate the optimal decision sequence based on the prediction scenarios of the IMM algorithm; that is, in both multi-step prediction and single-step prediction scenarios, the payoff values of different action strategies at each decision moment are calculated to obtain the optimal decision sequence. …”
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Innovative Learning Approaches in Sports: Comparing Teaching at the Right Level and Classical Methods for Drive Stroke Mastery by Hanik Liskustyawati, Sri Santoso Sabarini, Rony Syaifullah, Waluyo, Agus Mukholid, Baskoro Nugroho Putro, Suratmin

“…This study aims to analyze the differences in the effectiveness of the Teaching at the Right Level (TaRL) approach compared to classical methods in improving drive stroke skills. …”
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Comparison of Sample Preparation and Detection Methods for the Quantification of Synthetic Musk Compounds (SMCs) in Carp Fish Samples by Jungmin Jo, Eunjin Lee, Na Rae Choi, Ji Yi Lee, Jae Won Yoo, Dong Sik Ahn, Yun Gyong Ahn

“…The differences between the two methods can provide essential information for selecting an analytical method in related research fields that require appropriate detection levels, such as risk assessment or pollution control.…”
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Research in the Development and Validation of the Method of Quantitative Determination of Flavonoids in the Common Sorrel Herba, Gathered in the Altai Territory by G. R. Kutateladze, L. M. Fedoseeva

“…The optimal parameters of extraction of flavonoids from raw materials were determined, the conditions for the complexation reaction were selected, and the developed method was validated. …”
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Using the TOPSIS method to select the best low-toxicity organic cosolvent for rice-based toxicity tests by Xingren Pan, Yi Kang, Jun-Feng Lu, Xiao-Zhang Yu

“…In order to select the best organic solvent for rice-based toxicity tests among the four solvents with optimal concentrations, the technique for order preference by similarity to ideal solution (TOPSIS) was employed to minimize the variations across different treatment groups. …”
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A Parameter Estimation Method of DC-link Capacitor Based on Pre-charge Process of Traction Converter by LYU Gexing, ZHU Qi

“…In order to improve the reliability of the estimation, different from the traditional parameter identification algorithm based on gradient descent, the genetic algorithm is used to search for the optimal value in the range of health parameter and estimate the real parameter. …”
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A Fast Diagnosis Method of Escalator Reversal Faults Based on Dynamic Information and Multiattribute Decision-Making by Mingxing Jia, Zhiheng Pan, Guanghai Li, Chunhua Chen, Chen Wang

“…To this end, this paper proposes a multiattribute decision-making method that integrates dynamic information and gives the optimal troubleshooting order to improve the efficiency of the troubleshooting. …”
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Can green finance policy reduce energy consumption: quasi-natural experimental evidence from green finance reform and innovations pilot zone by Lu Lv, Bingnan Guo

“…This study examines whether the establishment of green finance reform and innovation pilot zones effectively reduces energy consumption and explores the underlying mechanisms of its impact.MethodsUsing panel data from 30 provincial-level administrative regions in China from 2013 to 2021, this study employs the staggered Difference-in-Differences (DID) model as a quasi-natural experiment. …”
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Preparation and evaluation of lipid-based sustained release pellets of chlorpheniramine maleate by the wet extrusion-spheronization method by Mohammadreza Abbaspour, Asieh Sadooghi, Elham Khodaverdi, Hossein Shahdadi Sardou, Ali Nokhodchi

“…Introduction: This study aimed to investigate the feasibility of preparation of sustained-release chlorpheniramine maleate (CPM) pellets based on Compritol® as a lipid matrix and evaluation of the affecting factors on pellet properties. Methods: Using the D-optimal experimental design, different pellet formulations containing various amounts of CPM, Compritol® and Avicel were prepared by the wet extrusion-spheronization method. …”
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Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning by Bo Wang, Jun Wei, Le Zhang, Hui Jiang, Cheng Jin, Shaowen Huang

“…Firstly, the Gaussian mixture model clustering algorithm is used to extract local information, cluster the source and target domains into multiple substructure domains, and adaptively weight the substructure domains according to the distances between the sub-source domains and sub-target domains. Secondly, the optimal subspace domain adaptation method integrating multiple metrics is used to obtain the optimal projection matrices $${{W}_{s}}$$ W s and $${{W}_{t}}$$ W t that are coupled with each other, and the data of source and target domains are projected to the corresponding subspace to perform spatial alignment, so as to reduce the discrepancy between the sample data of different working conditions. …”
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