Adverse drug event detection using natural language processing: A scoping review of supervised learning methods. by Rachel M Murphy, Joanna E Klopotowska, Nicolette F de Keizer, Kitty J Jager, Jan Hendrik Leopold, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut

“…Although reported overall performance of the systems was high, it provides an inflated impression given a steep drop in performance when predicting the ADE entity or ADE relation class. When annotating corpora, treating an ADE as a relation between a drug and non-drug entity seems the best practice. …”
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Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting by Randa Natras, Benedikt Soja, Michael Schmidt

“…Techniques that consider only model parameter uncertainties (a and c) predict narrow CI and over‐optimistic results, whereas accounting for both model parameter and data uncertainties with the BNN + D approach leads to a wider CI and the most realistic uncertainties quantification of VTEC forecast. …”
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Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model by Qi An, Yiyang Lv, Yuepeng Li, Zhuo Sun, Xiang Gao, Hongbin Wang

“…A multi-algorithm ensemble model considering climatic, geographic, and social factors was developed to predict the suitability area for FMDV, and then risk maps of FMD for each species of livestock were generated in combination with the distribution of livestock. …”
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National‐Scale Flood Hazard Data Unfit for Urban Risk Management by Jochen E. Schubert, Katharine J. Mach, Brett F. Sanders

“…FSF and PRIMo‐Drain data often predict opposite patterns of exposure inequality across social groups (e.g., Black, White, Disadvantaged). …”
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Comparison of Long-Term Outcomes and Refractive Stability following SMILE versus SMILE Combined with Accelerated Cross-Linking (SMILE XTRA) by Sheetal Brar, Skanda Sriganesh, Smith Snehal Sute, Sri Ganesh

“…To compare the long-term safety, efficacy, predictability, and refractive stability following SMILE versus SMILE combined with accelerated cross-linking (SMILE XTRA), and to specifically study the regression patterns following the two procedures. …”
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Deep Eutectic Solvents (DESs)-Ultrasonic-Assisted Extraction of Paeoniflorin and Paeonol from Moutan Cortex by Zhuo Chen, Jinnan Zhang, Fuwei Yang

“…The results showed that the response surface method can simulate and predict the yield of paeoniflorin and paeonol in Moutan Cortex under different extraction conditions, and it was feasible to optimize the process parameters. …”
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Virtual Force-Based Swarm Trajectory Design for Unmanned Aerial Vehicle-Assisted Data Collection Internet of Things Networks by Xuanlin Liu, Sihua Wang, Changchuan Yin

“…To maintain real-time monitoring while reducing data transmission, we introduce status freshness, which is an extension of age of information (AoI) and allows negative values to reflect the swarm’s predictive capabilities. The trajectory design problem is then formulated as an optimization problem to minimize average status freshness. …”
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The Active Compound Thymoquinone Alters Chondrogenic Differentiation of Human Mesenchymal Stem Cells via Modulation of Intracellular Signaling by Banu ISKENDER

“…Therefore, the current descriptive study aimed at highlighting the role of thymoquinone on the differentiation of human MSCs (hMSCs) since it is predicted that agents with known anti-inflammatory properties such as TQ have the potential to alter the chondrogenic differentiation of MSCs. …”
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Research on the high precision hydraulic column stress monitoring method by Jianzhuo Zhang, Chuanxu Wan, Jie Wang, Ce Chen, Tao Wang, Kai Xu

“…The mapping period is 0.32 s, which proves that the method can provide real-time and high-precision feedback on the stress state of the hydraulic column, realize real-time monitoring of the stress state of the hydraulic column, solve the problem that stress cannot be measured by attaching strain gauges in the complex underground environment, predict the fault and safety problems of the hydraulic column due to overload, and provide data reserve for the adaptive regulation of the hydraulic support.…”
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Cultivation of Grit in Nursing Students: A Qualitative Descriptive Study “Cultivation of Grit” by Carolyn Spriggs Muchna PhD

“…Background Predicted nursing deficits and low nursing student retention rates highlighted the need to investigate cultivation of grit, a malleable trait involving perseverance and passion to achieve long-term goals amidst challenges and difficulties. …”
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Visible Portion of Anterior Teeth at Rest and Analysis of Different Smile Characteristics in the Saudi Population of the Jeddah Region by Mohamed Abdelmageed Awad, Doaa Saleh Alghamdi, Aljawharah Talal Alghamdi

“…These effects should be considered during treatment planning and restoration of anterior teeth to obtain a more predictable esthetic outcome.…”
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Benchmarking for locally tuned sustainability: The case of energy and water use in New Zealand vineyards by Vicent Gasso, Andrew Barber, Henrik Moller, Enrique Bayonne, Frank W. Oudshoorn, Claus G. Sørensen

“…Regression models to predict spatial and temporal variations of energy and water use explained relatively large proportions of the resource use variance. …”
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RITUXIMAB VERSUS SPLENECTOMY IN CHRONIC PRIMARY ITP: EXPERIENCE OF A SINGLE HEMATOLOGY CLINIC by Rawanda Shamoon, Ahmed Khudair Yassin, Sarah Laith Alnuaimi

“…Splenectomy was the only significant predictive factor for long-term response (OR = 0.193, p = 0.006). …”
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Examination of The Mental Health Componet of Quality of Life of Haemodialysis Patients and Its Relationship to Perceived Expressed Emotion, Coping Self Efficacy, Optimism, Self Est... by ÖZDEN Yalçýnkaya-Alkar, A. Nuray Karancý

“…Conclusion: Patients’ concerns about various aspects of demographic and illness related variables, perceived coping self-efficacy, self-esteem, and criticism-hostility were found to be predictive of their MHC. [JCBPR 2014; 3(1.000): 23-37]…”
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Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique by Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon

“…This research underscores the importance of the key rock properties in evaluating the excavation performance predictions and support optimized operational strategies in mining. …”
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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

“…The individual classifiers make use of the different contextual information of the words along with the variety of features that are helpful to predict the various NE classes. Lexical context patterns, generated from an unlabeled corpus of 3 million wordforms in a semi-automatic way, have been used as the features of the classifiers in order to improve their performance. …”
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Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security by Jing Luo, Dai Zhou, Wenjun Ma, Guohua Zhao

“…The decision tree is also used to predict the diversion transfer. Then, based on the large amount of travel willingness data obtained through the stated preference survey, a maximum likelihood estimation method is used to calibrate the parameters of the binary Logit model. …”
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Assessment of Rear-End Collision Risk Based on a Deep Reinforcement Learning Technique: A Break Reaction Assessment Approach by Muhammad Sameer Sheikh, Yinqiao Peng

“…Examining the overtaking behaviors and predicting the collision risk probability are essential issues for preventing a rear-end collision risk and improving road safety. …”
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Landslide susceptibility assessment for Uttarakhand, a Himalayan state of India, using multi-criteria decision making, bivariate, and machine learning models by Vipin Chauhan, Laxmi Gupta, Jagabandhu Dixit

“…The Random Forest and XGBoost models demonstrated superior predictive performance. Conclusions The spatially explicit landslide susceptibility maps provide critical insights for urban planners, disaster management agencies, and environmentalists, aiding in developing effective strategies for landslide risk reduction and promoting sustainable development in Uttarakhand. …”
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Achievement emotions in kindergarten: the association of solution accuracy with discrete joy, sadness, and surprise by Traci Shizu Kutaka, Pavel Chernyavskiy, Tara Hofkens

“…Using functional regressions, these expressed achievement emotions predicted arithmetic accuracy at the end of the instructional session. …”
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