The dual GGDEF/EAL domain enzyme PA0285 is a Pseudomonas species housekeeping phosphodiesterase regulating early attachment and biofilm architecture by Eilers, Kira, Yam, Joey Kuok Hoong, Liu, Xianghui, Goh, Yu Fen, To, Ka-Ning, Paracuellos, Patricia, Morton, Richard, Brizuela, Jaime, Yong, Adeline Mei Hui, Givskov, Michael, Freibert, Sven-Andreas, Bange, Gert, Rice, Scott A., Steinchen, Wieland, Filloux, Alain

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Optimizing doping thresholds for enhanced scintillation in 2D hybrid organic–inorganic perovskites by Maddalena, Francesco, Makowski, Michal, Xiao, Chengyuan, Sheikh, Md Abdul Kuddus, Kowal, Dominik, Witkowski, Marcin E., Drozdowski, Konrad J., Mahato, Somnath, Dujardin, Christophe, Calà, Roberto, Auffray, Etiennette, Mahyuddin, Muhammad Haris, Drozdowski, Winicjusz, Birowosuto, Muhammad Danang, Dang, Cuong

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Tumor-targeted nano-assemblies for energy-blocking cocktail therapy in cancer by Chen, Manling, Liu, Yidu, Li, Yang, Liu, Xue

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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

“…This work demonstrates many benefits for generalist training, validated against specialist models across diverse CMR datasets.…”

Production risk and technical efficiency of Thai Koi (Anabas testudineus Bloch) farming in some selected areas of Bangladesh by Sarker, Md. Al Amin

“…Education of farmers’ increased TE, while experience, training and water change affected TE negatively. The mean TE scores were 0.73 and 0.96 for the flexible risk estimate and conventional SFM estimate, respectively. …”
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The development and validation of digital medical education environment (digimee) instrument in measuring online learning environment for undergraduate medical students by Haris, Noor-I-Kiran

“…Recommendations included improving digital skills training, personalized feedback, and platform communication, alongside better self-regulation support and more effective applications.These insights led to a list of recommendations for the university. …”
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Offline eLearning for undergraduates in health professions : a systematic review of the impact on knowledge, skills, attitudes and satisfaction by Wark, Petra A., Rasmussen, Kristine, Belisario, José Marcano, Molina, Joseph Antonio, Loong, Stewart Lee, Cotic, Ziva, Papachristou, Nikos, Riboli–Sasco, Eva, Car, Lorainne Tudor, Musulanov, Eve Marie, Zhang, Yanfeng, Kunz, Holger, George, Pradeep Paul, Heng, Bee Hoon, Wheeler, Erica Lynette, Al Shorbaji, Najeeb, Svab, Igor, Atun, Rifat, Majeed, Azeem, Car, Josip

“…The shortage of teachers is even greater, which limits traditional education modes. eLearning may help overcome this training need. Offline eLearning is useful in remote and resource–limited settings with poor internet access. …”
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Server allocation for massively multiplayer online cloud games by Zhao, Meiqi

“…The gaming time of the players logging into the system is predicted by the model trained by a neural network. We conduct experiments to evaluate our method and the proposed gaming time prediction model. …”
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Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…Correlating particle deposition factor with real-time experimental parameters through trained neural networks achieves high prediction accuracy with R squared and Pearson’s coefficient as 0.938 and 0.970, respectively. …”
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Active learning with applications in biomedical document annotation by Han, Xu

“…We evaluated the performance of all the active learning methods using the TEES event extraction system against the BioNLP Shared Tasks datasets, showing that our method can help the system achieve its previously reported perfor- mance only with 60%-70% of the original training data. We then propose a committee-based active learning method for the event extraction and named entity recognition. …”
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EEG-based attention recognition using machine learning by Sun, Haoqi

“…Results show that ELMAE is an efficient alternative to restricted Boltzmann machine (RBM) in vigilance recognition: ELMAE achieves root mean square error at 0.189 (±0.049), which is better than RBM at 0.195 (±0.046); and training speed significantly faster than RBM. Based on ELMAE, we define three vigilance stages in open eye and situation-aware state. …”
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Analysis and exploitation of dispersive waves for source localization on solids by Arun, Kattukandy Rajan

“…The TDOA-based technique is one of the most widely used methods in acoustic source localization and its main advantage compared to LTM-based methods is that it does not require training of known points. This implies that such algorithm can achieve a large number of distinguishable tap locations with minimal setup. …”
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Using machine learning to discover candidate localised transcripts from microscopy and genome-wide bioinformatics data by Kiourlappou, M

“…Additionally, I discover that the most influential factor in the training of the RF model is the RNA binding proteins (RBPs) target site motifs. …”

Effect of educational intervention on the intention to provide family-centered care among selected hospitals’ paediatric nurses in Tehran, Iran by Rostami, Forouzan

“…The mean age of participants was 36.1 years (SD = 9.1), and they were female (100%) without any specific training about FCC (93.8%). After the intervention, there was a significant increase in the mean score of attitude [mean i.e. …”
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Design and implementation of enhanced lightweight memory-based and monostable physical unclonable functions by Zhong, Hui Shu

“…The prediction accuracies of support vector machine and covariance matrix adaptation – evolution strategy algorithms with more than 3000 training challenge-response pairs converge at 49% and 48.5%, respectively.…”
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Effectiveness of digital education on communication skills among medical students : systematic review and meta-analysis by the digital health education collaboration by Kyaw, Bhone Myint, Posadzki, Pawel, Paddock, Sophie, Car, Josip, Campbell, James, Car, Lorainne Tudor

“…Conclusions: We found low-quality evidence showing that digital education is as effective as traditional learning in medical students’ communication skills training. Blended digital education seems to be at least as effective as and potentially more effective than traditional learning for communication skills and knowledge. …”
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On poisson vector graphics : displacement mapping, vectorization and color transfer by Fu, Qian

“…First, we extract facial masks through a pre-trained neural network, and vectorize each source or reference images with sparse DCs to encode the salient (low-frequency) colors, and then calculate PRs to encode the residual (high-frequency) details. …”
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Study on process parameter optimization for electron beam melting additive manufacturing by Wang, Chengcheng

“…Transfer learning (TL) is employed to adopt the trained weights from the Ti-6Al-4V baseline models for SS316L datasets. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…Secondly, the thesis investigates spectral clustering with ELM. ELM is a training algorithm for single-layer feedforward networks, famous for its nonlinear feature mapping. …”
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Towards practical data-driven predictive maintenance: a robust and generalizable deep learning approach by Mohamed Ragab Mohamad Adam

“…Nevertheless, deep learning only performs well under two main assumptions: (1) the availability of vast amounts of labeled data; (2) the training phase and deployment phase share the same data distribution or working condition. …”
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