Cer(d18:1/16:0) as a biomarkers for acute coronary syndrome in Chinese populations by Liang Zhang, Yang Zhang, YaoDong Ding, Tong Jin, Yi Song, Lin Li, XiaoFang Wang, Yong Zeng

“…Diagnostic performance assessments showed that Cer(d18:1/16:0) had superior accuracy in detecting ACS compared to other ceramides tested. The Boruta algorithm identified 8 significant variables related to ACS. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…These findings, supported by the FLOW-AF trial, underscore the usefulness of clinical outcome-based machine learning to improve the efficacy of algorithm based medical diagnostics.…”
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AFF3 is a Prognostic Biomarker Correlated with Immune Infiltrates in Triple-Negative Breast Cancer by Jing Chen, Bing Tan, Wei Zhuang, Tenghua Yu, Jianglong Li, Chongwu He

“…Conclusions: In TNBC, low AFF3 expression might be predictive of poor survival. AFF3 might provide additional insight into therapeutics in TNBC.…”
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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…Dropout students can be predicted through several processes of obtaining patterns or knowledge from data sets called data mining. …”
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Visualising fibre path and generating G-code for melt electrowriting of tubular scaffolds using Grasshopper software by Kelly L. O’Neill, Taite McLoughlin, Georgia Van der Linden, Ignacio Lopez Buson, Naomi C. Paxton, Mary Polites, Paul D. Dalton

“…This visual prototyping platform through Rhinoceros and Grasshopper offers a new method in predicting fibre paths and incorporating scaffold design parameters, meeting the need for diverse tubular scaffolds in different fields. …”
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Understanding the evolutionary processes and causes of groundwater drought using an interpretable machine learning model by Zhiyuan Gan, Xianjun Xie, Chunli Su, Weili Ge, Hongjie Pan, Liangping Yang

“…We employed machine learning models and the Shapley Additive Explanation (SHAP), a game theory-based interpretability method, to understand and predict the evolution of groundwater drought by evaluating eight models with SHAP analysis in the West Liao River Plain (WLRP), with a semi-arid climate. …”
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Impact of Climate Change on the Distributional Potential of the Endemic Species Tamarix dubia Bunge and Conservation Implications for the Irano‐Turanian Region by Habibollah Ijbari, Jamil Vaezi, Maryam Behroozian, Hamid Ejtehadi

“…Under both future scenarios, we predicted a decrease in the suitable habitat range of T. dubia in the period 2041–2060. …”
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IDI diesel engine performance and exhaust emission analysis using biodiesel with an artificial neural network (ANN) by K. Prasada Rao, T. Victor Babu, G. Anuradha, B.V. Appa Rao

“…For the ANN modeling standard back propagation algorithm was found to be the optimum choice for training the model. …”
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A Real-Time Safety-Based Optimal Velocity Model by Awad Abdelhalim, Montasir Abbas

“…Then, we analyze the driver behavior to predict the shape of the underlying TTC-based desired velocity function. …”
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Phenotyping sarcoidosis: a single institution retrospective analysis by Francesco Rocco Bertuccio, Francesco Rocco Bertuccio, Davide Piloni, Davide Piloni, Marianna Russo, Marianna Russo, Fady Tousa, Fady Tousa, Mariachiara Crescenzi, Mariachiara Crescenzi, Paola Putignano, Paola Putignano, Nicola Baio, Nicola Baio, Ida Maragò, Angelo Guido Corsico, Angelo Guido Corsico, Giulia Maria Stella, Giulia Maria Stella

“…For instance, finding a relationship between symptom burden, race, gender, HRQoL, and pulmonary function could have therapeutic ramifications, influence clinical practice, and aid in selecting patients for specific clinical studies.MethodsA comprehensive statistical evaluation was conducted using the JMP partitioning algorithm which explores all potential divisions to identify the most predictive variables.ResultsWith our analysis, we tried to categorize patients from a single Institution respiratory unit to delineate clinical phenotypes in sarcoidosis.ConclusionsLarger studies using appropriate methodology should surely be carried out to address this issue and help clarify the varying contributions of genetics, socioeconomic status, environmental exposures, and other sociodemographic factors to illness severity and phenotypic presentation. …”
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Optimization of grading rings for 1000 kV dry-type air-core shunt reactor based on hybrid RBFNN–Kriging surrogate model by Yiqin Liu, Liang Xie, Dongyang Li, Yunpeng Liu, Kexin Liu, Gang Liu

“…First, the sparrow search algorithm is used to optimize the hyperparameters of the RBFNN. …”
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Bamboo bio composite: A renewable and sustainable sound absorber for acoustic comfort in indoor settings by Hassan Irvani, Hassan Asilian Mahabadi, Ali Khavanin, Ali Safari Variani, Mohammad Javad SheikhMozafari

“…Furthermore, the impedance tube results exhibited noteworthy concordance with the predictions of the JCA model. Conclusively, the findings of this research underscore the potential of natural bamboo fiber-based composites as promising sound absorbers for effective sound control in indoor environments.…”
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Knowledge-guided self-learning control strategy for mixed vehicle platoons with delays by Jingyao Wang, Huinian Wang, Jian Song, Xingyu Chen, Jinghua Guo, Keqiang Li, Xunrui Li, Bowen Huang

“…This helps autonomous vehicles predict traditional vehicles’ trajectories. Secondly, to tackle delayed current state information, the study incorporates previous control instructions into the state representation of the soft actor-critic algorithm. …”
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A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders by Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury

“…Abstract Wayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) damage wheels, such as wheel flats and polygonal wheels. …”
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A damage model that can be coupled with constitutive behavior prior to necking for SGAFC 780 steel by Seong Jin Lee, Taek Jin Jang, Hyunho Shin, Yongwon Ju, Sangho Bae, Jong-Bong Kim

“…They also predicted damage contours that reasonably correspond to the moments and locations of cracks observed during the tensile fracture tests. …”
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UAV-Based SAR-Imaging of Objects From Arbitrary Trajectories Using Weighted Backprojection by Alexander Grathwohl, Julian Kanz, Christina Bonfert, Christian Waldschmidt

“…Both the distance between radar and targets as well as the viewing angle of the radar change significantly during flight. A common imaging algorithm for close-range and nonlinear flightpaths is therefore backprojection (BP), since it respects the nonlinear flightpath. …”
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Investigating the Short-Circuit Problem Using the Planarity Index of Complex q-Rung Orthopair Fuzzy Planar Graphs by Abrar Hussain, Ahmed Alsanad, Kifayat Ullah, Zeeshan Ali, Muhammad Kamran Jamil, Mogeeb A. A. Mosleh

“…Some advantages of the projected study over the previous study are observed, and some future study is predicted.…”
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Development and optimization of an electrohydrodynamic dehydrator using ANN-GA for improved energy performance by Chakrit Suvanjumrat, Klar Kongsarai, Piyamon Phong-arom, Namnguen Chumphong, Machimontorn Promtong, Jetsadaporn Priyadumkol

“…Furthermore, an integrated ANN–genetic algorithm (ANN-GA) approach was established to optimize the drying parameters, aiming to maximize drying kinetics and minimize SEC. …”
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A convolutional neural network driven suspension control strategy to enhance sustainability of high-speed trains by Duo Zhang, Hong-Wei Li, Fang-Ru Zhou, Yin-Ying Tang, Qi-Yuan Peng

“…Subsequently, a convolutional neural network is constructed based on the simulation data to predict the energy consumption and riding comfort under complex operation scenarios. …”
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Identifying the Peak Flowering Dates of Winter Rapeseed with a NBYVI Index Using Sentinel-1/2 by Fazhe Wu, Peng Lu, Shengbo Chen, Yucheng Xu, Zibo Wang, Rui Dai, Shuya Zhang

“…The study uses phenological characteristics and the random forest classification algorithm to create a map of winter rapeseed in parts of the middle and lower reaches of the Yangtze River Basin, achieving a Kappa coefficient of 90.57%. …”
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