Pharmaco-economical analysis of Russian QUADRIGA Study data by A. A. Kuprina, Yu. B. Belousov

“…Target BP was achieved in 83.56% of the patients. …”
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Predicting stress–strain relationships of additively manufactured materials under compression and tension using transfer learning and Wasserstein distance-based dataset pruning by Chenglong Duan, Dazhong Wu

“…Four distance metrics, including Euclidean, Cosine, Mahalanobis, and Wasserstein distances, are used to prune redundant data in the source domain by determining the distance between the source domain and the training data in the target domain. Only the most representative stress–strain curves in the source domain are retained to pre-train a long short-term memory model. …”
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Cumulative Summation (CUSUM)—as a tool for objective analysis of learning curve for surgeons in acquiring competency in phacoemulsification by Emily Ming Choo Ng, Mohamad Aziz Salowi, Othmaliza Othman, Rosmawati Uthman, Nor Fariza Ngah

“…The study used data from the web-based Cataract Surgery Registry. The target group consisted of provisional surgeons who completed the training programme between January 1, 2013, and December 31, 2020. …”
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Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics by Chase Maag, Clare K. Fitzpatrick, Paul J. Rullkoetter

“…The performance of these models was evaluated using average normalized root mean squared error (nRMSE).ResultsThe biLSTM model achieved the highest accuracy, with a significantly lower nRMSE compared to other models. …”
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Predicting patient engagement in IAPT services: a statistical analysis of electronic health records by David Betts, Alice Davis, Theresa Smith, Jenny Talbot, Chris Eldridge

“…Background Across England, 12% of all improving access to psychological therapy (IAPT) appointments are missed, and on average around 40% of first appointments are not attended, varying significantly around the country. …”
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Climate match fails to explain variation in establishment success of non-native freshwater fishes in a warm climate region by Jeffrey E. Hill, Quenton M. Tuckett, Katelyn M. Lawson

“…We used CLIMATCH, a widely applied climate matching program, to analyze climate similarity between source and target regions for 37 successfully established species and 36 species that have failed to establish. …”
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Education in lifestyle medicine for future physicians – a strategy to reduce the burden of cardiovascular disease by Daniel Söderberg, Anna Kiessling, Anna Freyschuss

“…A curriculum development project was organized using a six-step model: general needs assessment, targeted needs assessment, goals and objectives, educational strategies, implementation, and evaluation. …”
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Machine Learning for Earthquake Emergency Evacuation: Site Selection and Neighborhood Navigation by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…For cities with less similarity, the model needs to be slightly trained with the data of the target city to achieve desirable results.…”
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VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

“…This reconstruction selectively enhances the IMFs in the target SSVEP frequency band while suppressing interference from other bands. …”
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The prognostic value of BRAF mutation in colorectal cancer and melanoma: a systematic review and meta-analysis. by Gholamreza Safaee Ardekani, Seyed Mehdi Jafarnejad, Larry Tan, Ardavan Saeedi, Gang Li

“…Despite tremendous efforts made to target BRAF for cancer treatment, the correlation between BRAF mutation and patient survival is still a matter of controversy.…”
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Establishing Analytical Performance Criteria for the Global Reconnaissance of Antibiotics and Other Pharmaceutical Residues in the Aquatic Environment Using Liquid Chromatography-T... by Luisa F. Angeles, Diana S. Aga

“…Then, for many of the target analytes included in this study, the tolerance range was set at 40% for WWTP influent samples and 30% for WWTP effluent, upstream, and downstream samples. …”
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Human Emotion Detection Using DeepFace and Artificial Intelligence by Ramachandran Venkatesan, Sundarsingh Shirly, Mariappan Selvarathi, Theena Jemima Jebaseeli

“…An emerging topic that has the potential to enhance user experience, reduce crime, and target advertising is human emotion recognition, utilizing DeepFace and Artificial Intelligence (AI). …”
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A Robust YOLOv5 Model with SE Attention and BIFPN for Jishan Jujube Detection in Complex Agricultural Environments by Hao Chen, Lijun Su, Yiren Tian, Yixin Chai, Gang Hu, Weiyi Mu

“…To improve detection performance, we integrate an SE (squeeze-and-excitation) attention module into the backbone network to enhance the model’s ability to focus on target objects while suppressing background noise. …”
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Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation by Sambandh Dhal, Jorge Alvarado, Ulisses Braga-Neto, Benjamin Wherley

“…The synthetic data were derived from observations collected from irrigation plots at the Texas A&M University Turfgrass Laboratory in Texas, United States, with Soil Wetting Efficiency Index (SWEI) serving as the target variable. When tested against a commercially available irrigation controller, the ML-based controller significantly reduced runoff by an average of 74 % while maintaining high Green Cover (GC) in turfgrass, achieving an accuracy of 87 %. …”
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Research on deep learning-based fracture network inversion method for shale gas reservoirs by CHEN Weiming, JIANG Lin, LUO Tongtong, LI Yue, WANG Jianhua

“…The model was trained and optimized using 450 fracturing curve segments from shale gas wells in western Chongqing, with the average relative error of fracture network parameter inversion results in the test set being below 15%, which verified the feasibility of this new method for inversion of shale gas reservoir fracture networks.…”
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Hope as a predictor of physical activity behavior in middle-aged and older adults with musculoskeletal pain by Renee Kessler, Monica M. Teegardin, Anthony S. Kaleth, Kelly M. Naugle

“…Clarifying the role of hope in the physical activity behavior of older adults could present a novel target for intervention.…”
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Spray volume distribution pattern and droplet size spectrum from ceramic nozzles by Mateus P. Massola, Vandoir Holtz, Marcos P. de O. Martins, Anderson da S. Umbelino, Elton F. dos Reis

“…The objective of this study was to evaluate the average spray volume distribution and droplet size spectrum from ceramic nozzles. …”
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Star-YOLO: A Lightweight Real-Time Wheat Grain Detection Model for Embedded Deployment by Zhihang Qu, Xiao Liang, Sicheng Liang, Xiumei Guo

“…A Shape-NWD loss function is designed, incorporating shape and scale information of target bounding boxes to refine regression, tackling the challenge of distinguishing overlapping wheat grains. …”
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Neural Network Based on Dynamic Collaboration of Flows for Temporal Downscaling by Junkai Wang, Lianlei Lin, Yu Zhang, Zongwei Zhang, Sheng Gao, Hanqing Zhao

“…It estimates the kernel weight and offset vector of each target pixel independently among different meteorological variables and generates output frames guided by the feature space. …”
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Design and Experiment of Electric Uncrewed Transport Vehicle for Solanaceous Vegetables in Greenhouse by Chunsong Guan, Weisong Zhao, Binxing Xu, Zhichao Cui, Yating Yang, Yan Gong

“…Under various loads, the vehicle closely follows the target path with very small tracking errors. Initial test points showed high localization accuracy at maximum longitudinal and lateral deviations of 9.5 cm and 6.7 cm, while the average value of the lateral deviation of other points below 5 cm. …”
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