HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

“…Compared to previous machine learning algorithms, the HPGCN obtained optimal classification prediction results for ACC, Recall, Precision, F1, and AUC indicators by 5-fold cross-validation on the training and test sets. …”
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DM-YOLO: improved YOLOv9 model for tomato leaf disease detection by Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo

“…Specifically, firstly, lightweight dynamic up-sampling DySample is incorporated into the feature fusion backbone network to enhance the ability to extract features of small lesions and suppress the interference from the background environment; secondly, the MPDIoU loss function is used to enhance the learning of the details of overlapping lesion margins in order to improve the accuracy of localizing overlapping lesion margins. …”
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Direct coupling analysis and the attention mechanism by Francesco Caredda, Andrea Pagnani

“…Additionally, the functional form of the energy function of the model enables us to deploy a multi-family learning strategy, allowing us to effectively integrate information across multiple protein families, whereas standard DCA algorithms are typically limited to single protein families. …”
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Introducing youth to clinical research: Development and pilot implementation of a children’s activity book by Renee Cadzow, Andy Strohmeier, Erin Carnes, Teresa Quattrin

“… Abstract Introduction: Children continue to be an underrepresented population in research and clinical trials due to difficulties encountered in recruitment, assenting, and retention processes. “Sofia Learns About Research” is a children’s activity book that introduces youth to clinical research and basic elements of clinical trials. …”
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A framework to guide future farming research with Indigenous communities by Daniel Hayden, Amber Hayden

“…As Western science seeks to find sustainable alternatives to current farming norms, as seen in other areas of land man­agement, we encourage creating shared learning environments between researchers and Indigenous Peoples to foster relevant and equitable outcomes for farming practices. …”
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A New Attack Recovery Approach and <italic>H</italic>&#x221E; Performance Analysis for LFC Systems With FDI Attacks and Uncertainties by Xuxia He, Ruimei Zhang, Puying Wang

“…The IAR model is capable of extracting rich attack signal features from historical measurement data by leveraging multi-task learning. Compared with previous models, including LSTM and LSTM-AE, the IAR model improves the efficiency of recovering attacks for a future period and improves the recovery accuracy. …”
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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

“…Abstract Protein interactions are crucial for understanding biological functions and disease mechanisms, but predicting these remains a complex task in computational biology. Increasingly, Deep Learning models are having success in interface prediction. …”
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Zmiany modelu poznawczego uczniów w kontekście prac nad e-podręcznikiem by Jolanta Dyrda

“…In the context of an animated discussion about the project of an e-textbook, I intend to concentrate upon the situation of pupils who experience considerable diffi culties in the process of learning at school. …”
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Fault analysis and fault degree evaluation via an improved ResNet method for aircraft hydraulic system by Kenan Shen, Dongbiao Zhao

“…After that the evaluate results are given and analyzed, moreover the comparison between the SE-ResNet method with the other machine learning methods are given. The results show that the method in this paper has the best accuracy and shortest test time, therefore the method proposed in this paper has effective measures to improve the reliability of the aircraft hydraulic system.…”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

“…After recording the damping force signal and vibration data from the load cell and accelerometer caused by the metal appendage's impact, features such as vibration amplitude, damping time, wavelength, and force amplitude were retrieved. Three machine-learning techniques were then used to classify the objects' materials according to their damping rates. …”
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Effect of Using Building Maintenance Information Management System in Maintenance Process in Ministry of Education by Twana Abdullah Hussein, Ahmet Oztas

“…Educational buildings and Schools are one of the important facilities in community directly related to all families and any problems in the buildings affect the learning process, in Kurdistan according to the latest status about 60% of schools need maintenance and renovations and these data’s needs to manage properly. …”
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Radial Basis Function Coupling with Metaheuristic Algorithms for Estimating the Compressive Strength and Slump of High-Performance Concrete by Amir Reza Taghavi Khangah, Erfan Khajavi, Hasti Azizi, Amir Reza Alizade Novin

“…The results highlight hybrid machine learning models as the potential to solve complex challenges in civil engineering and provide new approaches toward sustainable and efficient infrastructure development.…”
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Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks by Shougi S. Abosuliman, Saleem Abdullah, Nawab Ali

“…Abstract Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. …”
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Enhancing Women’s Participation in Turkey through Digital Storytelling by Şimşek Burcu

“…Digital Stories from Amargi Women became the first Digital Storytelling project that aimed to enable women’s participation in Turkey through facilitating a co-creative environment where the participants could share their stories and learn digital skills that they could make use of after the workshops.…”
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Polarity-JaM: an image analysis toolbox for cell polarity, junction and morphology quantification by Wolfgang Giese, Jan Philipp Albrecht, Olya Oppenheim, Emir Bora Akmeriç, Julia Kraxner, Deborah Schmidt, Kyle Harrington, Holger Gerhardt

“…Advances in fluorescence microscopy and deep learning algorithms open up a wealth of unprecedented opportunities to characterise various aspects of cell polarity, but also create new challenges for comprehensible and interpretable image data analysis workflows to fully exploit these new opportunities. …”
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Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search by Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

“…As a potential optimization technique, EMBGO holds promise for diverse applications in real-world problems and deep learning scenarios. The source code of EMBGO is made available in https://github.com/RuiZhong961230/EMBGO.…”
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4-H Florida-Friendly Landscaping™ Workbook by John Pipoly, Angelina Toomey, Sarah Hensley, Esen Momol, Jennifer W. Marvin, Kelly Perez

“…Through 4-H Florida-Friendly LandscapingTM Curriculum, youth will learn nine basic principles of FFL, including water, soil, and vegetation conservation through landscape and gardening activities. …”
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4-H Florida-Friendly Landscaping™ Leader Guide by John Pipoly, Angelina Toomey, Sarah Hensley, Esen Momol, Jennifer W. Marvin, Kelly Perez

“…Through 4-H Florida-Friendly LandscapingTM Curriculum, youth will learn nine basic principles of FFL, including water, soil, and vegetation conservation through landscape and gardening activities. …”
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Decoding substance use disorder severity from clinical notes using a large language model by Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight

“…We propose a workflow employing zero-shot learning of LLMs with carefully crafted prompts and post-processing techniques. …”
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