Incorporation of Structural Health Monitoring Coupled Data in Dynamic Extreme Stress Prediction of Steel Bridges Using Dynamic Coupled Linear Models by Xueping Fan, Zhipeng Shang, Guanghong Yang, Xiaoxiong Zhao, Yuefei Liu

“…In this article, an approach for using structural health monitoring coupled extreme stress data in dynamic extreme stress prediction of steel bridges is presented, where the coupled extreme stress data means the extreme stress data with dynamicity, randomness, and trend. …”
Get full text

Ability of pulse oximetry-derived indices to predict hypotension after spinal anesthesia for cesarean delivery: A systematic review and meta-analysis. by Yuriko Kondo, Eishin Nakamura, Hisashi Noma, Sayuri Shimizu, Takahisa Goto, Takahiro Mihara

“…Indices, such as the perfusion index (PI) and pleth variability index (PVI), which are derived from pulse oximetry have been used in numerous studies to predict hypotension after spinal anesthesia. However, their predictive abilities remain controversial. …”
Get full text

Prediction of lower-limb isokinetic strength from functional fitness tests in older adults: A 550-participant cross-sectional study by Carlos Babiloni-López, Pablo Jiménez-Martínez, Carlos Alix-Fages, Ángel Saez-Berlanga, Álvaro Juesas, Pedro Gargallo, Javier Gene-Morales, Juan C. Colado

“…The functional fitness tests, along with age and sex are predictive variables of older adults' lower-limb isokinetic strength, although explaining at most 44 % of the variance.…”
Get full text

Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

“…The removal of hen age from the input parameters caused a decrease in prediction accuracy (R2 = 0.95, RMSE = 1.00), suggesting an important role of hen age in shelf life prediction. …”
Get full text

Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation by Chuanren Zhuang, Ruomeng Hu, Ke Li, Zhengshuang Liu, Songjie Bai, Sheng Zhang, Xuehuan Wen

“…The GBM model demonstrated robust predictive performance (average C-index 0.694 in validation and test sets). …”
Get full text

C1q/TNF-Related Protein5 (CTRP5) as a Biomarker to Predict Metabolic Syndrome and Each of Its Components by Feiyu Jiang, Min Yang, Xili Zhao, Rui Liu, Gangyi Yang, Dongfang Liu, Hua Liu, Hongting Zheng, Zhiming Zhu, Ling Li

Get full text

A Multivariate and Multistage Medium- and Long-Term Streamflow Prediction Based on an Ensemble of Signal Decomposition Techniques with a Deep Learning Network by Muhammad Sibtain, Xianshan Li, Snoober Saleem

“…Afterward, all the components obtained through the correction analysis and the two-stage decomposition approach were predicted by using the LSTM network. Finally, the predicted results of all components were aggregated, to formulate an ensemble prediction for the original monthly streamflow series. …”
Get full text

Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study by Jiao Wang, Jianrong Chen, Ying Liu, Jixiong Xu

“…ObjectiveWe aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population. …”
Get full text

The Value of ABCD2F Scoring System (ABCD2 Combined with Atrial Fibrillation) to Predict 90-Day Recurrent Brain Stroke by Mostafa Almasi, Nader Hodjati Firoozabadi, Faeze Ghasemi, Mojtaba Chardoli

“…The ABCD2 score is now identified as a useful clinical prediction rule to determine the risk for stroke in the days following brain ischemic attacks. …”
Get full text

Initial Evaluation of Computer-Assisted Radiologic Assessment for Renal Mass Edge Detection as an Indication of Tumor Roughness to Predict Renal Cancer Subtypes by Rahul Rajendran, Kevan Iffrig, Deepak K Pruthi, Allison Wheeler, Brian Neuman, Dharam Kaushik, Ahmed M Mansour, Karen Panetta, Sos Agaian, Michael A. Liss

Get full text

Usefulness of C-Reactive Protein as a Marker for Prediction of Future Coronary Events in the Asian Indian Population: Indian Atherosclerosis Research Study by Veena S. Rao, Natesha B. Kadarinarasimhiah, Shibu John, Sridhara Hebbagodi, Jayashree Shanker, Vijay V. Kakkar

“…Numerous inflammatory, lipid, and cytokines markers have been associated with coronary artery disease (CAD) risk but data directly comparing their predictive value are limited. Studies were carried to elucidate the role of high-sensitivity C-reactive protein (hsCRP), other inflammatory as well as lipid markers and their associations. …”
Get full text

Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…We recommend using the models for consecutive prediction with greater caution and interpreting predictions with increasing uncertainty as the pregnancy progresses. …”
Get full text

Evolution Mechanism of Thickly Sticky Loose Layered Arch Structure and Prediction Method of Initial Ground Fissure Caused by Underground Coal Mining by Yang Yingming, Li Quansheng, Liu Shiliang, Zhang Kai, Zhao Yongqiang, Zhang Guojun, Zhang Weilong, Liu Gang

Get full text

A Predicted Helix-Turn-Helix Core Is Critical for Bacteriophage Kil Peptide to Disrupt <i>Escherichia coli</i> Cell Division by Arindam Naha, Todd A. Cameron, William Margolin

Get full text

Compound identification of Shuangxinfang and its potential mechanisms in the treatment of myocardial infarction with depression: insights from LC-MS/MS and bioinformatic prediction by Yize Sun, Yize Sun, Haibin Zhao, Zheyi Wang

“…Then the targets of PCF compounds were searched on Swiss target database, and the targets of depression and MI were predicted on TTD, OMIM, GeneCards, DrugBank and PharmGkb database. …”
Get full text

System Dynamics Modeling Can be Leveraged to Predict Critical Care Pathways and Costs for End Stage Renal Disease: US Population to 2020 by Luca Fernandez, Christopher Koliba, Asim Zia, Katharine Cheung, Richard Solomon, Christopher Jones

“…Our model predicts that the ESRD patient population will continue to rise, with total prevalence increasing to 829,000 by 2020. …”
Get full text

Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates by Laurens Broeckx, Lotte Frooninckx, Siebe Berrens, Sarah Goossens, Carmen ter Heide, Ann Wuyts, Mariève Dallaire-Lamontagne, Sabine Van Miert

“…Validation with real-life substrates of varied protein content, including indigestible feather meal, affirmed the predictive model’s accuracy after accounting for protein source digestibility. …”
Get full text

Predictive Role of IL-2R and IL-10 in the Anti-inflammatory Response and Antiplatelet Therapy of Kawasaki Disease: A Retrospective Study by Chun Zhang, Lun Chen, Sun Chen, Yan Bian, Jia Shen, Peng Zhang, JiaNi Song

“…In conclusion, dynamically monitoring the levels of IL-2R and IL-10 has the potential to provide indications of the intensity and development of the inflammatory response in children with KD and may contribute to the early prediction and adjustment of pathological and pharmacological effects of therapy.…”
Get full text

Efficacy and safety of FOLFIRI/aflibercept in second‐line treatment of metastatic colorectal cancer in a real‐world population: Prognostic and predictive markers by Ana Fernández Montes, Nieves Martínez Lago, Marta Covela Rúa, Juan de la Cámara Gómez, Paula González Villaroel, José Carlos Méndez Méndez, Mónica Jorge Fernández, Mercedes Salgado Fernández, Margarita Reboredo López, Guillermo Quintero Aldana, María Luz Pellón Augusto, Begoña Graña Suárez, Jesús García Gómez

“…Exploratory analyses of prognostic and predictive markers of efficacy were performed. Results Patients had good general status (PS 0‐1 96.2%), tumours were mostly RAS‐mutant (75.6%), synchronous (71.8%), and left‐sided (71.8%). …”
Get full text

Role of cognitive impairment in predicting the long-term risk of all-cause mortality: a 20-year prospective cohort study in China by Shuang Zhao, Han Yang, Haijuan Zhao, Miao Miao, Qingqing Wang, Yaru Wang, Yuying Yin, Xin Wang

Get full text