Obstetric risk profiles and causes of death: Estimating their association with cesarean sections among maternal deaths in Mexico. by Pablo Martínez-Garrido, Jimena Fritz, Alejandra Montoya, Mayra J Garza, Héctor Lamadrid-Figueroa

“…Data were sourced from the Deliberate Search and Reclassification of Maternal Deaths database, alongside other national databases. An algorithm was developed to extract the Robson Ten Group Classification System from clinical summaries text, facilitating a nuanced analysis of C-section rates. …”
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Optimization design of liquid crystal-based reconfigurable intelligent surface-assisted indoor visible light communication systems by Lisu YU, Xinxin LÜ, Run ZHONG, Mingli ZHANG, Zhenghai WANG, Yuhao WANG

“…The system performance is evaluated by solving a sum-rate maximization problem that accounts for practical scenarios such as the presence of nonuser-obscured LoS paths between the transmitter and the receiver. A low-complexity algorithm using fractional programming and step-by-step optimization is recommended for managing perfect channel state information. …”
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Mortality Prediction Using SaO2/FiO2 Ratio Based on eICU Database Analysis by Sharad Patel, Gurkeerat Singh, Samson Zarbiv, Kia Ghiassi, Jean-Sebastien Rachoin

“…We used a gradient boosting decision tree algorithm variant called XGBoost as our model. Model hyperparameters were tuned using the Sklearn RandomizedSearchCV with tenfold cross-validation. …”
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Exploring biomarkers and molecular mechanisms of Type 2 diabetes mellitus promotes colorectal cancer progression based on transcriptomics by Simin Luo, Yuhong Zhu, Zhanli Guo, Chuan Zheng, Xi Fu, Fengming You, Xueke Li

“…The relationship of key genes with immune cells and other cells was evaluated by immune infiltration algorithm and single-cell transcription analysis. Drug prediction was performed by cMAP and the obtained drugs were molecularly docked with the key genes. …”
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Norepinephrine use in cardiogenic shock patients is associated with increased 30 day mortality by Xin Lu, Xue Wang, Yanxia Gao, Joseph Harold Walline, Shiyuan Yu, Zengzheng Ge, Mubing Qin, Huadong Zhu, Yi Li

“…After PSM, 222 cases from each group were matched using a 1:1 matching algorithm. Thirty day mortality for patients treated with norepinephrine was significantly higher than for those in the non‐norepinephrine group (41% vs. 30%, OR 1.61, 95% CI 1.09–2.39, P = 0.017; HR 1.50, 95% CI 1.09–2.06, P = 0.013). …”
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The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA by ZEUS Collaboration, I. Abt, R. Aggarwal, V. Aushev, O. Behnke, A. Bertolin, I. Bloch, I. Brock, N. H. Brook, R. Brugnera, A. Bruni, P. J. Bussey, A. Caldwell, C. D. Catterall, J. Chwastowski, J. Ciborowski, R. Ciesielski, A. M. Cooper-Sarkar, M. Corradi, R. K. Dementiev, S. Dusini, J. Ferrando, B. Foster, E. Gallo, D. Gangadharan, A. Garfagnini, A. Geiser, G. Grzelak, C. Gwenlan, D. Hochman, N. Z. Jomhari, I. Kadenko, U. Karshon, P. Kaur, R. Klanner, U. Klein, I. A. Korzhavina, N. Kovalchuk, M. Kuze, B. B. Levchenko, A. Levy, B. Löhr, E. Lohrmann, A. Longhin, F. Lorkowski, E. Lunghi, I. Makarenko, J. Malka, S. Masciocchi, K. Nagano, J. D. Nam, Yu. Onishchuk, E. Paul, I. Pidhurskyi, A. Polini, M. Przybycień, A. Quintero, M. Ruspa, U. Schneekloth, T. Schörner-Sadenius, I. Selyuzhenkov, M. Shchedrolosiev, L. M. Shcheglova, N. Sherrill, I. O. Skillicorn, W. Słomiński, A. Solano, L. Stanco, N. Stefaniuk, B. Surrow, K. Tokushuku, O. Turkot, T. Tymieniecka, A. Verbytskyi, W. A. T. Wan Abdullah, K. Wichmann, M. Wing, S. Yamada, Y. Yamazaki, A. F. Żarnecki, O. Zenaiev

“…Jets were reconstructed using the $$k_\textrm{T}$$ k T algorithm with the radius parameter $$R = 1$$ R = 1 . …”
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Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study by Chi Pui Pang, Weiqi Chen, Mingzhi Zhang, Tsz Kin Ng, Yi Zheng, Guihua Zhang, Jian-Wei Lin, Ji Wang, Jie Ji, Ling-Ping Cen, Peiwen Xie, Yongqun Xiong, Hanfu Wu, Dongjie Li

“…The performance of the DL was compared with DR experts.Setting DR screening programmes from three hospitals and the Lifeline Express Diabetic Retinopathy Screening Program in China.Participants 83 465 images of 39 836 eyes from 21 716 patients were annotated, of which 53 211 images were used as the development set and 30 254 images were used as the external validation set, split based on centre and period.Main outcomes Accuracy, F1 score, sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC), Cohen’s unweighted κ and Gwet’s AC1 were calculated to evaluate the performance of the DL algorithm.Results In the external validation set, the five classifiers achieved an accuracy of 0.915–0.980, F1 score of 0.682–0.966, sensitivity of 0.917–0.978, specificity of 0.907–0.981, AUROC of 0.9639–0.9944 and AUPRC of 0.7504–0.9949. …”
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Phenotypic diversity of CTCs and tdEVs in liquid biopsies of tumour-draining veins is linked to poor prognosis in colorectal cancer by Stefan A. Cieslik, Andrés G. Zafra, Christiane Driemel, Monica Sudarsanam, Jan-Philipp Cieslik, Georg Flügen, Levent Dizdar, Andreas Krieg, Sascha Vaghiri, Hany Ashmawy, Stephen Fung, Miriam Wilms, Leon W. M. M. Terstappen, Afroditi Nanou, Hans Neubauer, Nuh N. Rahbari, Wolfram T. Knoefel, Nikolas H. Stoecklein, Rui P. L. Neves

“…Phenotypic features were obtained via numeric analysis of their fluorescence signals (e.g. size, shape, and intensity) and were used for calculating diversity using Shannon index (SI) of clusters generated via the k-means algorithm after Uniform Manifold Approximation and Projection (UMAP) pre-processing, and standard deviation (SD). …”
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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…Methods and testing: TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. …”
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High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

“…The molecular data were analysed using a bioinformatics pipeline specifically designed for identifying differentially abundant metabolites between the two breeds in a robust and statistically significant manner, including the Boruta algorithm, which is a Random Forest wrapper, and sparse Partial Least Squares Discriminant Analysis (sPLS-DA) for feature selection. …”
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Timber and carbon sequestration potential of Chinese forests under different forest management scenarios by Hui-Ling Tian, Jian-Hua Zhu, Xiang-Dong Lei, Xin-Yun Chen, Li-Xiong Zeng, Zun-Ji Jian, Fu-Hua Li, Wen-Fa Xiao

“…This study utilised the national forest inventory (NFI) data to construct a model of forest growth and consumption using a machine learning algorithm (i.e. random forest), identified suitable areas for future forest expansion by integrating multi-source data, and set up three future forest management scenarios: business as usual (BAU), enhanced policy scenario (EPS) and maximum potential scenario (MPS). …”
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Soil Organic Carbon Estimation and Transfer Framework in Agricultural Areas Based on Spatiotemporal Constraint Strategy Combined with Active and Passive Remote Sensing by Jiaxin Qian, Jie Yang, Weidong Sun, Lingli Zhao, Lei Shi, Hongtao Shi, Lu Liao, Chaoya Dang, Qi Dou

“…The spatial interpolation accuracy of each MLR algorithm is satisfactory, with the Gaussian process regression (GPR) model demonstrating optimal modeling performance. …”
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Multimorbidity clusters and their associations with health-related quality of life in two UK cohorts by Lewis Steell, Stefanie J. Krauth, Sayem Ahmed, Grace O. Dibben, Emma McIntosh, Peter Hanlon, Jim Lewsey, Barbara I. Nicholl, David A. McAllister, Susan M. Smith, Rachael Evans, Zahira Ahmed, Sarah Dean, Colin Greaves, Shaun Barber, Patrick Doherty, Nikki Gardiner, Tracy Ibbotson, Kate Jolly, Paula Ormandy, Sharon A. Simpson, Rod S. Taylor, Sally J. Singh, Frances S. Mair, Bhautesh D. Jani, the PERFORM research team

“…In UKHLS, SF-12 data were extracted and mapped to EQ-5D index scores using a standard preference-based algorithm. HRQoL data were collected at median 5 (UKHLS) and 10 (UK Biobank) years follow-up. …”
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Coinfection of severe acute respiratory syndrome coronavirus 2 and polyomavirus in a patient with coronavirus disease 2019 detected by enrichment next-generation sequencing: a case... by Gunadi, Esensi Tarian Geometri, Pramana Adhityo, Ali Zainal Abidin, Marcellus, Dyah Ayu Puspitarani, Fadila Dyah Trie Utami, Kristy Iskandar, Hendra Wibawa, Mohamad Saifudin Hakim

“…The full genomes were aligned to the reference genome (NC_045512.2) by the Burrow–Wheeler aligner algorithm. The whole-genome sequencing showed coinfection of Karolinska Institute polyomavirus Stockholm 60 (NC_009238.1) with an overall coverage of 3561x. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…We employed XGBoost, a gradient-boosting ML algorithm, to identify core URGs and construct a diagnostic model. …”
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Brain iron deposition and cognitive decline in patients with cerebral small vessel disease : a quantitative susceptibility mapping study by Yian Gao, Changhu Liang, Qihao Zhang, Hangwei Zhuang, Chaofan Sui, Nan Zhang, Mengmeng Feng, Haotian Xin, Lingfei Guo, Yi Wang

“…Morphology-enabled dipole inversion with an automated uniform cerebrospinal fluid zero reference algorithm (MEDI + 0) was used to generate brain QSM maps from mGRE data. …”
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An Ultra-Low Power, Adaptive All-Digital Frequency-Locked Loop With Gain Estimation and Constant Current DCO by Imran Ali, Hamed Abbasizadeh, Muhammad Riaz Ur Rehman, Muhammad Asif, Seong Jin Oh, Young Gun Pu, Minjae Lee, Keum Cheol Hwang, Youngoo Yang, Kang-Yoon Lee

“…For locking DCO frequency closest to the target channel, it adaptively controls capacitor banks with binary algorithm. With decrease in frequency resolution, DCO clock counts for each capacitor bank bit evaluation dynamically increases with the proposed technique for accurate frequency tracking. …”
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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

“…Individuals from the four regions could be distinguished and predicted based on a model constructed using the random forest algorithm, with the predictive effect of palmar microbiota being better than that of oral and nasal cavities. …”
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Sustainability assessment of animal feed production from by-products of Sago palm smallholder industry by Allaily ., A.D. Santoso, M.N. Rofiq, N.A. Sasongko, H. Daulay, E.I. Wiloso, E. Widjaja, B.N. Utomo, A.I. Yanuar, S. Suryani, Y.P. Erlambang, U.N. Thiyas, D. Iskandar, A. Anhar, M. Rahmawati, T. Simamora, Y. Yusriani, G. Maghfirah, M. Ammar

“…Sustainability status and leverage attributes were analyzed by Monte Carlo analysis and alternating least-squares algorithm.FINDINGS: The results showed that the general sustainability indicators in Sago palm smallholder industry had an average value of 46.03 percent. …”
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Identification of Three Significant Genes Associated with Immune Cells Infiltration in Dysfunctional Adipose Tissue-Induced Insulin-Resistance of Obese Patients via Comprehensive B... by Ming Zhai, Peipei Luan, Yefei Shi, Bo Li, Jianhua Kang, Fan Hu, Mingjie Li, Lei Du, Donglei Zhou, Weixia Jian, Wenhui Peng

“…Besides, the relative fraction of 22 immune cell types in adipose tissue was detected by using the deconvolution algorithm of CIBERSORT (Cell Type Identification by Estimating Relative Subsets of RNA Transcripts). …”
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