Search Results - "algorithm"

Evaluating Leaf Water Potential of Maize Through Multi-Cultivar Dehydration Experiments and Segmentation Thresholding by Shuanghui Zhao, Yanqun Zhang, Pancen Feng, Xinlong Hu, Yan Mo, Hao Li, Jiusheng Li

“…The analysis screened published VIs highly correlated with <i>Ψ_leaf</i> and constructed a model for <i>Ψ_leaf</i> estimation based on three algorithms—partial least squares regression (PLSR), random forest (RF), and multiple linear stepwise regression (MLR)—for each cultivar and all three cultivars. …”
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Endoscopic stone surgery in patients having asymptomatic bacteriuria by V. A. Malkhasyan, N. K. Gadzhiev, S. O. Sukhikh, E. G. Maltsev, I. Z. Kindarov, D. Yu. Pushkar

“…Considering the possibility of detecting persistent asymptomatic bacteriuria (ASB) in this patients amid the shortfall of clear algorithms and schemes of ASB management before endoscopy, a comparative analysis of infectious complications in patients with sterile urine and persistent ASB undergoing endoscopic surgery for renal and ureteral stones is an urgent task.Оbjective. …”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…., sparse spike-driven operations and bio-plausible learning rules) for improving energy efficiency and performance, thereby enabling efficient CL algorithms (e.g., unsupervised learning approach) executed in dynamically-changed environments with resource-constrained computing systems. …”
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Characterizing Duodenal Immune Microenvironment in Functional Dyspepsia: An AutoML-Driven Diagnostic Framework by Zhang X, Fan X, Hu X, Qian Z, Li J, Wu W, Chen L, Wu S, Ma L, Yang C, Zhang T, Su X, Wei W

“…Immune infiltration was assessed using CIBERSORT and xCell algorithms, followed by weighted gene co-expression network analysis (WGCNA) to identify immune-related gene modules. …”
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Combined Analysis of Transcriptome and Mendelian Randomization Reveals AKT1 and PPARG as Biomarkers Related to Glucose Metabolism in Sepsis by Ma J, Li W, Ma Q, Ding L, Wang Z, Wang R, Huang Y, Ma G, Gao J

“…Jie Ma,1,2,&amp;ast; Wendi Li,3 Qianqian Ma,1 Liying Ding,4 Zhaoyun Wang,1 Rong Wang,1 Yanan Huang,1 Gang Ma,2,&amp;ast; Jun Gao1,&amp;ast; 1Department of Anesthesia and Perioperative Medicine, First People’s Hospital of Yinchuan, The Second Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia, 750001, People’s Republic of China; 2Department of Anesthesia and Perioperative Medicine, General Hospital of Ningxia Medical University, The First Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia, 750004, People’s Republic of China; 3Department of Child Rehabilitation Education, Ningxia Rehabilitation Center for the Disabled, Yinchuan, Ningxia, 750002, People’s Republic of China; 4Department of Gynecology, Gynecology Clinic of Li Ying, Wuzhong, Ningxia, 751100, People’s Republic of China&amp;ast;These authors contributed equally to this workCorrespondence: Gang Ma, Department of Anesthesia and Perioperative Medicine, General Hospital of Ningxia Medical University, The First Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia, 750004, People’s Republic of China, Email magang2671@163.com Jun Gao, Department of Anesthesia and Perioperative Medicine, First People’s Hospital of Yinchuan, The Second Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia, 750001, People’s Republic of China, Email gaojun1605@sina.comIntroduction: This study aimed to identify diagnostic and therapeutic biomarkers related to glucose metabolism in sepsis, as hyperglycemia and blood glucose fluctuations influence sepsis progression.Methods: Datasets from public databases were analyzed using various methods, including differential expression analysis, PPI network screening, machine learning algorithms and Mendelian randomization. A nomogram model was developed, and biomarker functions were explored through enrichment analysis, immunoinfiltration analysis, transcription factors (TFs) and microRNA (miRNA) prediction, and drug prediction. …”
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THE POSTMODERN CITY TEXT IN SERHIY ZHADAN’S POETICS by Tetiana M. Starostenko., Ianina V. Gurtova

“…The urban chronotope is marked by location points, endemic for the writer: numerous spatial models of the railway stations, representing a gallery of social characters and algorithms of criminal schemes; bus routes, city transport, personified and serving as the “bodily organs” of the city; industrial facilities; monuments to Soviet leaders; hotels; zoo-images. …”
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TECHNOLOGY, AN ALLY TO THE 21ST CENTURY WOMEN by Vivian López Núñez

“…However, it also warns that unregulated algorithms risk reinforcing discrimination. The essay concludes with a call for responsible use and regulation of technology to ensure it contributes to lasting change for women in all spheres of life. _____ TECNOLOGIA, UNA ALIADA DE LAS MUJERES DEL SIGLO XXI: UN ENSAYO Este ensayo analiza cómo la tecnología digital actúa como una aliada clave para el empoderamiento de las mujeres en Paraguay, especialmente en el ámbito judicial. …”
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Anxiety-depressive syndrome in patients with arterial hypertension and chronic obstructive pulmonary disease with frequent exaccations by L. A. Shpagina, I. S. Shpagin, L. D. Khidirova, A. A. Vasilenko

“…Computer analysis of the results of this study was carried out using the SAS, USA statistical software package using standard variational algorithms. statistics. When analyzing intergroup differences in indicators measured on an interval scale, the values of Student's t-test were calculated using the corresponding formulas.Results. …”
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PhA-MOE: Enhancing Hyperspectral Retrievals for Phytoplankton Absorption Using Mixture-of-Experts by Weiwei Wang, Bingqing Liu, Song Gao, Jiang Li, Yueling Zhou, Songyang Zhang, Zhi Ding

“…The recent launches of NASA’s hyperspectral missions, such as EMIT and PACE, have generated an urgent need for hyperspectral algorithms for studying phytoplankton. Retrieving <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>a</mi><mrow><mi>p</mi><mi>h</mi><mi>y</mi></mrow></msub></semantics></math></inline-formula> from ocean color remote sensing in coastal waters has been extremely challenging due to complex optical properties. …”
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In-Hospital Stroke in a Multidisciplinary Hospital by S. S. Petrikov, G. R. Ramazanov, S. B. Binnatova, M. V. Tikhomirova

“…In this regard, there is a need to study the prevalence, risk factors, clinical features of in-hospital stroke, as well as the development of diagnostic and therapeutic algorithms in order to improve the efficiency of care for patients with in-hospital stroke.…”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…We also evaluated the performance of various algorithms (e.g., Random Forest (RF), Convolutional Neural Networks (CNN), Graph Neural Networks (GNN), and Multi-Layer Perceptron (MLP)) across these models. …”
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WOMEN'S ENGAGEMENT IN LAW AND DIGITAL TECHNOLOGIES: by William Mokofe Mokofe

“…It investigates topics such as gender biases in algorithmic decision-making, cybersecurity concerns affecting women, legal responses to online harassment and gender-based violence, women's representation in digital law spaces, and the impact of emerging technologies on women's rights and access to justice. …”
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Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis by T. Touil, F. Huot, S. Claveau, A. Bunel, D. Warner, D.E. Santschi, R. Gervais, É.R. Paquet

“…Additionally, different ML algorithms, including partial least squares, random forest, and gradient boosting, were used to predict rpH and SARA. …”
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Development of a robust FT-IR typing system for Salmonella enterica, enhancing performance through hierarchical classification by Diego Fredes-García, Javiera Jiménez-Rodríguez, Alejandro Piña-Iturbe, Pablo Caballero-Díaz, Tamara González-Villarroel, Fernando Dueñas, Aniela Wozniak, Aiko D. Adell, Andrea I. Moreno-Switt, Patricia García

“…The IR Biotyper was used to acquire spectra from these isolates. Machine learning algorithms, including support vector machines, were trained to classify the isolates. …”
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A comparative study of bone density in elderly people measured with AI and QCT by Min Guo, Min Guo, Yu Zhang, Yu Zhang, XinXin Gu, XinXin Gu, Xuhui Liu, Xuhui Liu, Fei Peng, Fei Peng, Zongjun Zhang, Zongjun Zhang, Mei Jing, Mei Jing, Yingxia Fu, Yingxia Fu

“…The linear regression fit between the R2 values of QCT and Bone Density AI for measuring lumbar spine BMD with different equipment ranged from 0.88 to 0.96, indicating a high degree of consistency between the two measurement methods across devices.ConclusionThis multicenter study pioneers a dual-validation framework to establish the clinical validity of deep learning-based BMD prediction algorithms using routine thoracic/abdominal CT scans. …”
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Comparison of Random Survival Forest Based‐Overall Survival With Deep Learning and Cox Proportional Hazard Models in HER‐2‐Positive HR‐Negative Breast Cancer by Wenqi Cai, Yan Qi, Linhui Zheng, Huachao Wu, Chunqian Yang, Runze Zhang, Chaoyan Wu, Haijun Yu

“…Predictive models were developed using five feature sets and three algorithms (Cox PH, RSF, DeepSurv), with feature selection optimized via Concordance index (C‐index). …”
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To reveal biomarkers related to macrophage and lactic acid metabolism in renal fibrosis and explore their mechanisms by Chen Yong, Chen Yong, Yongfei Yu, Yongfei Yu, Yuan Wei, Yuan Wei, Guoshun Huang, Guoshun Huang, Lianghui Shu, Lianghui Shu, Kun Gao, Kun Gao, Kun Gao, Enchao Zhou, Enchao Zhou, Enchao Zhou, Enchao Zhou

“…Subsequently, candidate genes were incorporated into machine learning algorithms to identify key feature genes associated with RF. …”
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Validation of Automated Respiratory Event Scoring in Type 3 Home Sleep Apnea Testing by Shiroshita N, Obata R, Kawana F, Kato M, Sato A, Ishiwata S, Yatsu S, Matsumoto H, Shitara J, Murata A, Shimizu M, Kato T, Suda S, Tomita Y, Hiki M, Naito R, Kasai T

“…Alice NightOne, a widely used polygraphy device, includes automatic scoring software; however, more reliable scoring results can be provided by incorporating advanced algorithmic systems like Somnolyzer. Despite this, the accuracy of automatic scoring of this polygraphy device using such applications has not been specifically investigated. …”
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Three-Year On-Orbit Radiometric Performance of the SDGSAT-1 Multispectral Imager (MSI) by Lin Yan, Enchuan Qiao, Changyong Dou, Hao Zhang, Zhenzhen Cui, Yonghong Hu, Xiao-Ming Li, Jinlong Ai

“…Further efforts including enhanced calibration algorithms developing, cross radiometric calibration with payloads have good radiometric performance will be conducted. …”
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Comparative analysis of the diagnostyc value of CT and MRI in the assessment of peritoneal carcinomatosis in ovarian cancer by Yu. A. Soloveva, N. A. Rubtsova, E. G. Novikova, D. O. Kabanov, S. A. Skugarev

“…The importance of diagnostic information on the prevalence of peritoneal carcinomatosis at the stage of planning treatment tactics in patients with AOC requires improvement of examination algorithms and unification of methodological approaches during CT and MRI. …”
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