An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia. by Junying Wei, Heshan Cao, Mingling Peng, Yinzhou Zhang, Sibei Li, Wuhua Ma, Yuhui Li

“…Feature selection was conducted using the Boruta algorithm, and 14 ML models were constructed. The optimal model was identified based on the area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, and specificity across both validation and test cohorts. …”
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Artificial molecular communication network based on DNA nanostructures recognition by Junke Wang, Mo Xie, Lilin Ouyang, Jinggang Li, Lianhui Wang, Chunhai Fan, Jie Chao

“…By the establishment of a node partition algorithm for path traversal based on DR-AMCN, the computational complexity of the seven-node Hamiltonian path problem is reduced with the final solution directly obtained through the rate-zonal centrifugation method, and scalability of this approach is also demonstrated. …”
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Revising Transient-Pressure Solution for Vertical Well Intersected by a Partially Penetrating Fracture with Non-Darcy Flow Effect by Shuheng Cui, Jie Kong, Hongwei Yu, Cheng Chen, Junlei Wang

“…A high-effective iterative algorithm using a combined technique of fracture-panel discretization and dimension transform is developed to render the nonlinear equations amenable to analytical linear treatment. …”
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A Method for Predicting the Timing of Mine Earthquakes Based on Deformation Localization States by Chenli Zhu, Linlin Ding, Yimin Song, Yuda Li

“…This study established a correlation between rock deformation localization and seismic activity within mines through theoretical derivations. A predictive model algorithm for forecasting mine earthquake timing was developed based on Saito’s theory, integrating optics, acoustics, and mathematical modeling theories. …”
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SAFIRE STRENGTH OPTIMIZATION: EFFECT ON TISSUE CONTRAST AND PATHOLOGICAL ASSESSMENT OF BRAIN MSCT WITH NON-HEMORRHAGE STROKE (SNH) by I Putu Eka Juliantara, Angel Lingkan Martoyo, Made Sayang Pratista

“…Background: Sinogram Affirmed Iterative Reconstruction (SAFIRE) is an Iterative Reconstruction algorithm that combines IR techniques that utilize raw data and image data iterations as parameters that underlie noise regularization in images in the reconstruction process to improve image quality. …”
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Shine on: Review of Laser- and Light-Based Therapies for the Treatment of Burn Scars by C. Scott Hultman, Renee E. Edkins, Clara N. Lee, Catherine T. Calvert, Bruce A. Cairns

“…Three different platforms are now poised to alter our reconstructive algorithm: (1) vascular-specific pulsed dye laser (PDL) to reduce hyperemia, (2) ablative fractional CO2 laser to improve texture and pliability of the burn scar, and (3) intense pulsed light (IPL) to correct burn scar dyschromia and alleviate chronic folliculitis. …”
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Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs by Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Cláudio T. Silva, Sarang Joshi

“…In this paper, we present a solution based on two key ideas: a new registration method that generates a mapping between anatomies represented as a multicompartment model of class posterior images and geometries and an implementation of the algorithm using particle mesh approximation on Graphical Processing Units (GPUs) to fulfill the computational requirements. …”
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Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU by Dongqing Han, Xin Yang, Guang Li, Shuangyin Wang, Zhen Wang, Jiandong Zhao

“…After that, in view of the problem that the prediction accuracy of the GRU model was low in the continuous rainfall scenario, the APSO algorithm was used to optimize the parameters of the GRU network, and the APSO-GRU prediction model was constructed and verifications under the same road section and rain scene were carried out. …”
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Estimation of Wind Turbine Blade Icing Volume Based on Binocular Vision by Fangzheng Wei, Zhiyong Guo, Qiaoli Han, Wenkai Qi

“…Therefore, this paper proposes a non-contact ice volume estimation method based on binocular vision and improved image processing algorithms. The method employs a stereo matching algorithm that combines dynamic windows, multi-feature fusion, and reordering, integrating gradient, color, and other information to generate matching costs. …”
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Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs by Hanaa M. Hussain, Khaled Benkrid, Ali Ebrahim, Ahmet T. Erdogan, Huseyin Seker

“…In this work, a parameterized implementation of the K-means clustering algorithm in Field Programmable Gate Array (FPGA) is presented and compared with previous FPGA implementation as well as recent implementations on Graphics Processing Units (GPUs) and GPPs. …”
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Distributed delays in a hybrid model of tumor-Immune system interplay by Giulio Caravagna, Alex Graudenzi, Alberto d’Onofrio

“…We instantiate the model withtwo well-known weak and strong delay kernels and perform simulations by using an algorithm to generate trajectories of this process.…”
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Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities by Guanci Yang, Siyuan Yang, Kexin Luo, Shangen Lan, Ling He, Yang Li

“…Secondly, an NSSI detection algorithm based on the spatiotemporal features of indoor activities (NssiDetection) is proposed. …”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…By fusing word embeddings with evolutionary descriptors, it applies the SHapley Additive exPlanations (SHAP) algorithm for optimal feature selection and uses eXtreme Gradient Boosting (XGBoost) for classification. …”
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Functionally-Equivalent Formalization and Automated Model Checking of Function Block Diagrams by Tomas Ausberger, Karel Kubicek, Pavla Medvedcova

“…This method can be used for automatic verification of I&C algorithms by model checking while preserving obtained proofs from a formalised model in the original algorithm. …”
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Meteorological-Hydrological-Agricultural Drought Analysis of Devegeçidi Reservoir by Nermin Şarlak, Abdullah Muratoğlu, Şahnaz Tiğrek

“…The monthly average reservoir volume, monthly total water inflow and monthly total water consumption data for the years 2008-2021 were first analyzed by Mann-Kendall trend analysis method and then by Locally Weighted Scatterplot Smoothing algorithm. Standard Precipitation Index (SPI), Palmer (PDSI) and self-calibrated Palmer (sc-PDSI) drought indices were applied to reveal the relationship between hydrological drought problem and precipitation data. …”
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Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance by Shuyan Hao, Ting Xia, Ruizhi Zhang, Meng Guo

“…Then all the Cu-S compounds are clustered into 86 groups using the similarity matrix and “density-based spatial clustering of applications with noise” (DBSCAN) algorithm. Some selected groups are analyzed using crystal structure visualization of hundreds of compounds, which provides chemical insights of the similarity metrics and shows the effectiveness of clustering. …”
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Multi-Objective Optimization Design for Cold-Region Office Buildings Balancing Outdoor Thermal Comfort and Building Energy Consumption by Fei Guo, Shiyu Miao, Sheng Xu, Mingxuan Luo, Jing Dong, Hongchi Zhang

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied to coordinate two performance metrics—outdoor thermal comfort and building energy loads—for the multi-objective optimization of architectural design. …”
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A Review of Characterization Approaches for Smallholder Farmers: Towards Predictive Farm Typologies by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna Q. Yonah

“…Characterization of smallholder farmers has been conducted in various researches by using machine learning algorithms, participatory and expert-based methods. …”
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Cyberattack Monitoring Architectures for Resilient Operation of Connected and Automated Vehicles by Zulqarnain H. Khattak, Brian L. Smith, Michael D. Fontaine

“…The monitoring system detects any deviations from the normal operation of CAVs using a long-short term memory (LSTM) neural network proposed by the authors and reverts the system back to a safe state of operation using a set of countermeasures. The proposed algorithm was also compared to convolutional neural network (CNN) and other classical algorithms. …”
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Case Series of Zone III Resuscitative Endovascular Balloon Occlusion of the Aorta in Traumatic Shock Patients by Byungchul Yu, Gil Jae Lee, Kang Kook Choi, Min A Lee, Jihun Gwak, Youngeun Park, Jung Nam Lee

“…We aimed to describe our experience of successful Zone III REBOA and to discuss its algorithm, techniques, and related complications. Methods We reviewed consecutive cases who survived from hypovolemic shock after Zone III REBOA placement for 4 years. …”
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