Spatiotemporal Changes in Evapotranspiration and Its Influencing Factors in the Jiziwan Region of the Yellow River from 1982 to 2018 by Wenting Liu, Rong Tang, Ge Zhang, Jiacong Xue, Baolin Xue, Yuntao Wang

“…To achieve accurate ET simulations, we introduced a multiple linear regression algorithm and quantitatively evaluated the specific contributions of five climate factors, including precipitation, temperature, wind speed, specific humidity, and radiation, as well as the normalized difference vegetation index (NDVI), a vegetation factor, to ET and its components. …”
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USSD: Unsupervised Sleep Spindle Detector by Edgardo Ramirez, Pablo A. Estevez, Martin D. Adams, Claudio A. Perez, Marcelo Garrido Gonzalez, Patricio Peirano

“…An unsupervised adaptive threshold method based on the distribution of the automatically detected SS lengths is developed, which allows the adaptation of the USSD algorithm to different datasets in an unsupervised way. …”
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Enhancing Drought Forecast Accuracy Through Informer Model Optimization by Jieru Wei, Wensheng Tang, Pakorn Ditthakit, Jiandong Shang, Hengliang Guo, Bei Zhao, Gang Wu, Yang Guo

“…Aiming at the problem of drought forecasting accuracy in a short time scale, this study proposed a drought forecasting model named VMD-JAYA-Informer based on Variational Mode Decomposition (VMD) and the JAVA optimization algorithm to improve the Informer model. This study conducted a comparative analysis of VMD-JAYA-ARIMA, VMD-JAYA-LSTM, VMD-JAYA-CNN, and VMD-JAYA-Informer drought prediction models. …”
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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Convolutional Neural Network (CNN) is a deep learning algorithm that has good performance in image classification. …”
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Diagnostics and treatment of peptic ulcer: clinical guidelines of the Russian gastroenterological Association by V. T. Ivashkin, A. A. Sheptulin, I. V. Mayev, Ye. K. Baranskaya, A. S. Trukhmanov, T. L. Lapina, S. G. Burkov, A. V. Kalinin, A. V. Tkachev

“…Strict conformance of diagnostic algorithm for this category of patients as well as the eradication therapy protocol allows to decrease considerably the risk of recurrence of PUD and its complications.…”
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End-to-End Security Mechanism Using Blockchain for Industrial Internet of Things by Muhammad Shahid Dildar, Adnan Shahid Khan, Irshad Ahmed Abbasi, Reema Shaheen Naseem Akhtar, Khalil Al Ruqaishi, Shakeel Ahmed Ghulam Sarwar

“…In our paper, we proposed some lightweight cryptographic schemes, and Data management overhead which could fit any device. Moreover, our algorithm for the blockchain implementation is hybrid because this approach incorporates all the best features of the private and public implementation due to the individual blocks containing feasible information rather than the entire history.…”
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HI-CMAIM: Hybrid Intelligence-Based Multi-Source Unstructured Chinese Map Annotation Interpretation Model by Jiaxin Ren, Wanzeng Liu, Jun Chen, Xiuli Zhu, Ran Li, Tingting Zhao, Jiadong Zhang, Yuan Tao, Shunxi Yin, Xi Zhai, Yunlu Peng, Xinpeng Wang

“…Experimental results demonstrated the superiority of HI-CMAIM over existing algorithms. In the detection task, CMA-DB achieved an 8.54% improvement in Hmean (from 87.73% to 96.27%) compared to the DB algorithm. …”
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Identifying households with children who have complex needs: a segmentation model for integrated care systems by Roberta Piroddi, Andrea Astbury, Wesam Baker, Kostantinos Daras, Joe Rafferty, Iain Buchan, Benjamin Barr

“…We then used individual and household linked data across multiple health and social care services to identify these households, providing an algorithm to be used in a case finding interface. Finally, to understand the needs of this segment, and to identify unmet need, to tailor support, we used descriptive statistics and Poisson regression to profile the segment and compare them with the rest of the population. …”
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Prognostic model and immune-infiltrating cell landscape based on differentially expressed autophagy-related genes in TP53-mutated multiple myeloma by Yan-Hua Zheng, Hong-Yuan Shen, Xiang Chen, Juan Feng, Guang-Xun Gao

“…In addition, we used the CIBERSORT algorithm to explore the distribution difference of 22 immune-infiltrating cells. …”
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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images by Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao

“…Then, a morphological pseudo-label optimization algorithm is designed to employ CAMs to generate high-quality pseudo-labels. …”
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BDMANGO: An image dataset for identifying the variety of mango based on the mango leavesMendeley Data by Mohammad Manzurul Islam, Md. Jubayer Ahmed, Mahmud Bin Shafi, Aritra Das, Md. Rakibul Hasan, Abdullah Al Rafi, Mohammad Rifat Ahmmad Rashid, Nishat Tasnim Niloy, Md. Sawkat Ali, Abdullahi Chowdhury, Ahmed Abdal Shafi Rasel

“…The white background was specifically chosen to remove noise in image sample, allowing for accurate feature extraction by machine learning algorithms. This will ensure the trained model's efficacy in identifying a specific mango leaf while implemented alongside any segmentation algorithm. …”
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Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint by Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.MethodsA content-based filtering algorithm was implemented to predict drug sensitivity. …”
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Principal component analysis and its generalizations for any type of sequence (PCA-Seq) by V. M. Efimov, K. V. Efimov, V. Y. Kovaleva

“…Technically, the problem is solved using an algorithm like SSA. The sequence is cut by a sliding window into fragments of a given length. …”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

“…Experimental results show that the proposed algorithm provides a set of reliable samples for the training of classifier and achieves a promising improvement on classification accuracy.…”
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Associations of comprehensive dietary antioxidant index with postmenopausal femur bone mineral density and osteoporosis: data from the national health and nutrition examination sur... by Jianbo Sun, Jie Wang, Wu Hu, He Huang, Hongmou Zhao

“…The two-piecewise linear regression models and a recursive algorithm were used to find the inflection points.ResultsAfter adjusting all covariates, the weighted multivariable linear regression models demonstrated that the CDAI was positively correlated with femur BMD. …”
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Application of the New Classification on Patients with a Disorder of Sex Development in Indonesia by A. Zulfa Juniarto, Yvonne G. van der Zwan, Ardy Santosa, Remko Hersmus, Frank H. de Jong, Renske Olmer, Hennie T. Bruggenwirth, Axel P. N. Themmen, Katja P. Wolffenbuttel, Leendert H. J. Looijenga, Sultana M. H. Faradz, Stenvert L. S. Drop

“…This study intended to categorize 88 Indonesian patients in accordance with the new consensus DSD algorithm. Diagnostic evaluation including clinical, hormonal, genetic, imaging, surgical, and histological parameters was performed. …”
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Health-Related Quality-of-Life Utility Values in Adults With Late-Onset Pompe Disease: Analyses of EQ-5D Data From the PROPEL Clinical Trial by Alison Griffiths, Simon Shohet, Neil Johnson, Alasdair MacCulloch

“…EQ-5D-5L utility values were mapped to EQ-5D-3L values using the van Hout algorithm as recommended by the EuroQoL and the National Institute of Health and Care Excellence position statement at time of analysis. …”
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Comprehensive Analysis of the Mechanism of Anoikis in Hepatocellular Carcinoma by Dongqian Li, Qian Bao, Shiqi Ren, Haoxiang Ding, Chengfeng Guo, Kai Gao, Jian Wan, Yao Wang, MingYan Zhu, Yicheng Xiong

“…The Cell-Type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm was used to determine the proportions of immune cell types. …”
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Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable by Sara Javadi, Abbas Bahrampour, Mohammad Mehdi Saber, Behshid Garrusi, Mohammad Reza Baneshi

“…Multiple imputation by chained equations (MICE) is the most common method for imputing missing data. In the MICE algorithm, imputation can be performed using a variety of parametric and nonparametric methods. …”
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Protocol of a parallel group Randomized Control Trial (RCT) for Mobile-assisted Medication Adherence Support (Ma-MAS) intervention among Tuberculosis patients. by Zekariyas Sahile, Lua Perimal-Lewis, Paul Arbon, Anthony John Maeder

“…A total of 186 participants (93 per group) will be individually randomized into one of the two groups with a 1:1 allocation ratio by a computer-generated algorithm. Group one (intervention) participants will receive daily SMS texts and weekly phone calls concerning their daily medication intake and medication refill clinic visit reminder and group two (control) participants will receive the same routine standard treatment care as the intervention group, but no SMS text and phone calls. …”
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