Protocol on a systematic review of nomenclature and outcomes in children with complex critical illness in Paediatric Critical Care: The basis for consensus definition. by Sofia Cuevas-Asturias, Claire Rafferty, Hannah Mitchell, William Tremlett, Padmanabhan Ramnarayan, Natalie Pattison

“…Children with complex critical illness (CCI) need input from multiple different teams alongside support for their family. …”
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Supporting self-management for patients with Interstitial Lung Diseases: Utility and acceptability of digital devices. by Malik A Althobiani, Rebecca Shuttleworth, John Conway, Jonathan Dainton, Anna Duckworth, Ana Jorge Da Ponte, Jessica Mandizha, Joseph W Lanario, Michael A Gibbons, Sarah Lines, Chris J Scotton, John R Hurst, Joanna C Porter, Anne-Marie Russell

“…Data were analysed descriptively for quantitative aspects and through thematic analysis for qualitative input.…”
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Evaluating patient participation in value‐based healthcare: Current state and lessons learned by Henrike J. Westerink, Mirjam M. Garvelink, Cornelia F. vanUden‐Kraan, Ouisam Zouitni, Hans A. J. Bart, Philip J. van derWees, Paul B. van derNat, the Santeon Patient Participation Study Group

“…Lastly, patients were satisfied with their participation and felt like equal VI team members (100%), but they did mention a lack of feedback from the VI team on their input. Conclusion The results imply the lack of full implementation of patient participation within VI teams. …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

“…The efficiency of predicting damage to complex systems depends directly on the quality of processing methods, systematization, and the amount of input data. It is required to improve methods for assessing and predicting damage and to develop new approaches and criteria for statistical forecasting of damage and evaluating the system reliability. …”
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Recent Advances in Biosensor Technologies for Meat Production Chain by Ivan Nastasijevic, Ivana Kundacina, Stefan Jaric, Zoran Pavlovic, Marko Radovic, Vasa Radonic

“…The integration of biosensors with blockchain and Internet of Things (IoT) systems allows for acquired data integration and management, while their integration with artificial intelligence (AI) and machine learning (ML) enables rapid data processing, analytics, and input for risk assessment by competent authorities. …”
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ICAFormer: An Image Dehazing Transformer Based on Interactive Channel Attention by Yanfei Chen, Tong Yue, Pei An, Hanyu Hong, Tao Liu, Yangkai Liu, Yihui Zhou

“…Single image dehazing is a fundamental task in computer vision, aiming to recover a clear scene from a hazy input image. To address the limitations of traditional dehazing algorithms—particularly in global feature association and local detail preservation—this study proposes a novel Transformer-based dehazing model enhanced by an interactive channel attention mechanism. …”
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GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability by Yanjiao Song, Linyi Li, Yun Chen, Junjie Li, Zhe Wang, Zhen Zhang, Xi Wang, Wen Zhang, Lingkui Meng

“…For adversarial learning, a branched SN-PatchGAN discriminator is introduced to adapt to the multi-temporal input. The results show that the GCT-GF surpasses the state-of-the-art relevant methods in quantitative metrics and visual perception. …”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Abstract Predicting species distributions and entire communities is crucial for ecologists, to enhance our understanding of the drivers behind species distributions and community assembly and to provide quantitative data for conservation efforts. Popular species distribution models use statistical and machine learning methods but face limitations with multi‐species predictions at the community level, hindered by scalability and data imbalance sensitivity. …”
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Insect frass fertilizer upregulates maize defence genes and resistance against an invasive herbivore pest by Daniel Munyao Mutyambai, Johnstone Mutiso Mutua, Abdul A. Jalloh, Dennis Beesigamukama, Andre Kessler, Sevgan Subramanian, Thomas Dubois, Sunday Ekesi, Chrysantus M. Tanga

“…Abstract The black soldier fly frass fertilizer (BSFFF) has gained global attention as a multipurpose input for soil fertilization and pest and disease management. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…Current methods using structural magnetic resonance imaging (sMRI) as input data often fail to provide the objectivity and sensitivity needed for early and accurate diagnosis. sMRI is well known to be capable of detecting anatomical changes, such as reduced gray matter volume in SCH or cortical thickness alterations in BD. …”
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Pharmacy stakeholders' views and experiences of the credentialing of advanced or specialist pharmacist practice: A mixed methods systematic review by Evelyn Deasy, Anna Seoighe, Cristín Ryan, Stephen Byrne, Kieran Dalton

“…All screening and data analysis steps were performed by two reviewers independently, with additional author input where required. Results: Sixty studies were included, after screening titles and abstracts (n = 9055) and full texts (n = 228). …”
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Physiologically Based Pharmacokinetic Modeling of Biologic Case Studies in Monkeys and Humans Reveals the Necessity of an Additional Clearance Term by Felix Stader, Pradeep Sharma, Weize Huang, Mary P. Choules, Marie-Emilie Willemin, Xinwen Zhang, Estelle Yau, Abdallah Derbalah, Adriana Zyla, Cong Liu, Armin Sepp

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Cadmium accumulation in wheat grain: Accumulation models and soil thresholds for safe production by Lu Lin, Xiaopeng Zhao, Yumeng Li, Jingbo Ling, Jinghua Ren, Qilin Liao, Dongmei Zhou, Xueyuan Gu

“…Our findings facilitate a quantitative assessment of Cd accumulation risk in wheat, offering a valuable reference for the safe production of wheat.…”
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Multisensor Data Fusion for Coastal Boundary Detection by Res-U-Net Implementation Using High-Resolution UAV Imagery by Qin Wang, Nyasha J. Kavhiza, Fakhrul Islam, Ilyas Ahmad Huqqani, Mohsin Abbas, Sanjoy Barman

“…Under a supervised learning framework, the model has been trained and validated using a dataset including UAV-acquired photographs and manually annotated shoreline masks. The preprocessed input data has been reinforced by geometric adjustments and contrast normalizing to improve resilience and generalization. …”
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Oil-Painting Style Classification Using ResNet with Conditional Information Bottleneck Regularization by Yaling Dang, Fei Duan, Jia Chen

“…Unlike traditional information bottleneck (IB) approaches that minimize the mutual information <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>I</mi><mo stretchy="false">(</mo><mi>X</mi><mo>;</mo><mi>Z</mi><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula> between input <i>X</i> and latent representation <i>Z</i>, our CIB minimizes the conditional mutual information <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>I</mi><mo stretchy="false">(</mo><mi>X</mi><mo>;</mo><mi>Z</mi><mo>∣</mo><mi>Y</mi><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula>, where <i>Y</i> denotes the painting’s style label. …”
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Efficient Gamma-Based Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement by Huitao Zhao, Shaoping Xu, Liang Peng, Hanyang Hu, Shunliang Jiang

“…This curve enables outstanding performance in the enhancement task by directly mapping the input low-light image to the enhanced output at the pixel level, thereby eliminating the need for multiple iterative mappings as required in the Zero-DCE algorithm. …”
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Unsupervised Deep Learning for Synthetic CT Generation from CBCT Images for Proton and Carbon Ion Therapy for Paediatric Patients by Matteo Pepa, Siavash Taleghani, Giulia Sellaro, Alfredo Mirandola, Francesca Colombo, Sabina Vennarini, Mario Ciocca, Chiara Paganelli, Ester Orlandi, Guido Baroni, Andrea Pella

“…Despite limitations due to the sub-optimal input image quality and the small field of view (FOV), the quality of sCT was found to be overall satisfactory from a quantitative and qualitative perspective. …”
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A Novel Approach for Pollen Identification and Quantification Using Hybrid Capture‐Based DNA Metabarcoding by D. Kireta, K.‐J. vanDijk, S. Crotty, A. Malik, K. Bell, K. Hogendoorn, A. J. Lowe

“…A restricted matK database containing only mixture species yielded sequence proportions highly correlated with input pollen proportions, demonstrating the potential usefulness of hybrid capture for metabarcoding and quantifying pollen mixtures. …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

“…For the machine learning approach, multilayer perceptron (MLP) artificial neural networks (ANNs) were trained using four input variables: diameter at breast height, total tree height, species, and volume type. …”
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Simulated Practice Learning Experience in a Virtual Environment: An Innovative Pedagogical Approach to Practice Learning for Nursing Students by Sharon Faulds, Anne Taylor

“…The questionnaire employed a mix of both quantitative and qualitative questions across key areas to evaluate the effectiveness of the SPLE and explore student satisfaction with their overall practice learning experience. …”
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