Development of an Evaluating Method for Carbon Emissions of Manufacturing Process Plans by Yanhong Wang, Hua Zhang, Zhiqing Zhang, Jing Wang

“…This work presents a method to evaluate the carbon emissions of a process plan by aggregating the unit process to form a combined model for evaluating carbon emissions. …”
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Analysis the Mechanical Response of Tunnels Under the Action of Vertical Jacking in Shield Construction and Research on Reinforcement by Mingxun Hou, Chunshan Yang, Jiayi Yang, Yuefei Zeng, Zhigang Zhu

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A multipath error cancellation method based on antenna jitter by Jiyang Liu, Feixue Wang, Xiaomei Tang, Sixin Wang, Muzi Yuan

“…The model that combines theoretical analysis with experimental verification is conducted to identify the minimum jitter amplitude required for effective error reduction in straight-line jitter scenarios. …”
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Methodics and tools of cough sound processing on basic of neural net by U. A. Vishniakou, Bahaa Shaya

“…To recognize COVID-19 cough, a classifier was analyzed using CNN as a machine learning model. The proposed CNN system is designed to classify and detect cough sounds based on ESC-50. …”
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Classification and spectrum optimization method of grease based on infrared spectrum by Xin Feng, Yanqiu Xia, Peiyuan Xie, Xiaohe Li

“…The results show that this machine learning method can effectively eliminate the interference fringes in the IR spectrum, and complete the feature selection and dimensionality reduction of the high-dimensional spectral data. …”
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Ripe-Detection: A Lightweight Method for Strawberry Ripeness Detection by Helong Yu, Cheng Qian, Zhenyang Chen, Jing Chen, Yuxin Zhao

“…Developed using a purpose-built dataset of 1021 annotated strawberry images (<i>Fragaria</i> × <i>ananassa</i> ‘Red Face’ and ‘Sachinoka’ varieties) from Changchun Xiaohongmao Plantation and augmented through targeted strategies to enhance model robustness, the framework demonstrates superior performance over existing lightweight detectors, achieving mAP50 improvements of 13.0%, 9.2%, and 3.9% against YOLOv7-tiny, YOLOv10n, and YOLOv11n, respectively. …”
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Elevator Running Fault Monitoring Method Based on Vibration Signal by Mingxing Jia, Xiongfei Gao, Hongru Li, Hali Pang

“…In order to verify the performance of the algorithm, the original vibration signal was used as the input of the 1-CNN, and the wavelet energy feature without PCA dimensionality reduction was used as the input of the 1-CNN. The experimental results showed that the 1-DCNN model with PCA dimension-reduced feature data as input can effectively extract and identify the features of normal and abnormal states and has high fault identification accuracy, and good results have been obtained.…”
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Unsupervised method for representation transfer from one brain to another by Daiki Nakamura, Shizuo Kaji, Ryota Kanai, Ryusuke Hayashi

“…The results suggest that our unsupervised transfer method is useful for the reapplication of existing models personalized to specific participants and datasets to decode brain information from other individuals. …”
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Analysis and prediction of urban agglomeration ecological footprint based on improved three-dimensional ecological footprint and shared socioeconomic pathways by Ruirui Jiang, Liangjun Fei, Shouxuan Kang

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Battery Life Evaluation Method Based on Temporal Convolution Network by SUN Yushu, AN Juan, HUANG Cunqiang, ZHANG Shunzhen, DANG Yanyang, PEI Wei, TANG Xisheng

“…Due to the different principles of these methods, their outcomes often diverge significantly. …”
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Rainfall derivatives as a risk management tool for grain producers: daily model vs. index model by Ewa Broszkiewicz-Suwaj, Leszek Kuchar

“…The grain producers sector is very exposed to this risk, which is why the subject of this work is to build a strategy to protect against the risk of low rainfall during the growing season of plants. Material and methods: The valuation of rainfall derivatives is made using Monte Carlo simulation for two types of models: a model based on daily rainfall value simulation and a model based on direct estimation of the index distribution. …”
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Tether Force Estimation Airborne Kite Using Machine Learning Methods by Akarsh Gupta, Yashwant Kashyap, Panagiotis Kosmopoulos

“…Our XGBoost model, for example, demonstrated a notable reduction in error in predicting the tether force that can be extracted at a particular location, with a root mean square error of 52.3 Newtons and a mean absolute error of 32.1 Newtons, coupled with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> error, which measures the proportion of variance explained by the model, achieved an impressive value of 0.93. …”
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Analysis of the Reduction in the Duration of Sick Leave for 32,512 Psoriasis Patients Following the Integration of Targeted Therapies for Psoriatic Disease into the Brazilian Healt... by D'Almeida LFV, Duarte GV, Godinho MP, Cariello LH, Sousa GJB, Gomes CM

“…The availability of these therapies was associated with earlier cessation of sick leave in our proportional hazards model (targeted therapies for PsA: hazard ratio (HR) = 1.90, 95% confidence interval (CI) = 1.82– 2.00; targeted therapies for psoriasis: HR = 1.63, 95% CI = 1.54– 1.70).Conclusion: This study highlights a remarkable reduction in costs and sick leave duration due to the implementation of therapies for psoriatic disease by the Brazilian Unified Health System, which underscores the importance of considering detailed indirect cost data when evaluating new health technologies for large populations.Plain Language Summary: Psoriasis is a chronic inflammatory disease affecting more than 60 million people worldwide. …”
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Sample Weighting Methods for Compensating Class Imbalance in Elephant Flow Classification by Piotr Jurkiewicz, Robert Wojcik, Jerzy Domzal

“…This paper compares various sample weighting techniques to compensate this imbalance during model training. We evaluate recommended approaches, as well as propose novel methods based on roots, powers, and logarithms of flow size. …”
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Knowledge, barriers, and facilitators for promoting cardiovascular health in a Latino community: a qualitative sub-study of the Skills-based Educational Strategies for Reduction of... by Bernadette Boden-Albala, Bernadette Boden-Albala, Bernadette Boden-Albala, Darnisha Draughter-Espinoza, Megan Castro, Desiree Gutierrez, Cassandra Cardenas, Matthew J. Landry, Jeffrey Wing, Bruce Albala, Bruce Albala, Bruce Albala

“…Through these community-engagement methods, SERVE OC can optimize program design and implementation, maximizing the positive impact of the CVD risk reduction initiative.Clinical trial registrationhttp://www.clinicaltrials.gov, NCT05641519.…”
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Random-forest-based task pricing model and task-accomplished model for crowdsourced emergency information acquisition by Wenxiang Li, Shengqun Chen, Lijin Lin, Li Chen

“…In addition,the making money by taking photos dataset is used for a simulation of the proposed method in scikit-learn. Our simulation results demonstrate that the proposed method has an average reduction in Mean Squared Error (MSE) by 44.16 % for task pricing and an average increase in accuracy of 17.71 % for task-accomplished prediction compared to traditional regression models. …”
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Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods by Misaki Sasanami, Ibrahim Almou, Adam Nouhou Diori, Ana Bakhtiari, Nassirou Beidou, Donal Bisanzio, Sarah Boyd, Clara R. Burgert-Brucker, Abdou Amza, Katherine Gass, Boubacar Kadri, Fikreab Kebede, Michael P. Masika, Nicholas P. Olobio, Fikre Seife, Abdoul Salam Youssoufou Souley, Amsayaw Tefera, Amir B. Kello, Anthony W. Solomon, Emma M. Harding-Esch, Emanuele Giorgi

“…This reduction occurred as the inclusion of spatial covariates significantly decreased the variance of the spatial Gaussian process in the geostatistical model. …”
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Glucagon-like peptide-1 receptor agonist in myocardial infarction and atherosclerotic cardiovascular disease risk reduction: a comprehensive meta-analysis of number needed to treat... by Ansel Shao Pin Tang, Jovan Teng Yuan Hsu, Sheena Kar Shuan Chong, Jingxuan Quek, Genevieve Shek, Farisah Sulaimi, Kai En Chan, Vickram Vijay Anand, Bryan Chong, Anurag Mehta, Sue-Anne Toh, Mark Muthiah, Georgios K. Dimitriadis, Carel W. le Roux, Mark Yan-Yee Chan, Mamas Andreas Mamas, Yip Han Chin, Nicholas W. S. Chew

“…Risk-reduction effect of GLP-1RA were pooled using pairwise meta-analysis with random-effects model. …”
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3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging by Rizos-Theodoros Chadoulis, Ioannis Livieratos, Ioannis Manakos, Theodore Spanos, Zeinab Marouni, Christos Kalogeropoulos, Constantine Kotropoulos

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The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…This study compares three sample selection strategies: whole-region random selection, landslide buffer zone selection, and the enhanced information value (EIV) method. By integrating these methods with the random forest (RF) algorithm, three models—random-RF, buffer zone-RF, and EIV-RF—were developed and evaluated. …”
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