Professionalising Physics Teachers in Doing Experimental Work by Claudia Haagen-Schützenhöfer, Birgit Joham

“…Besides this function of “learning physics”, empirical evidence shows that experimental work in general has a high potential for promoting “learning about science” and finally “doing science”. …”
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LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction by Yueheng Yang, Zelang Miao, Xiaojing Li, Hua Zhang, Shuai Chen

“…In deep learning, especially in semantic segmentation tasks, the loss function is crucial to guide the training of neural networks. …”
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Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…The custom objective function’s output can be transformed to quantify the contribution of each variable to the target variable’s variability, providing deeper insights into the workings of black box models. …”
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Sparse Attention-Based Residual Joint Network for Aspect-Category-Based Sentiment Analysis by Jooan Kim, Hyunyoung Kil

“…Recent studies on sparse attention transformation functions have demonstrated their effectiveness over the conventional softmax function. …”
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Análisis del efecto de una intervención para sensibilizar al alumnado sobre su percepción y reconocimiento de la diversidad funcional (Analysis of the effect of an intervention to... by Cristina Menescardi, Raquel Ballester

“…Key words: didactic unit, Physical Education, inclusion, functional diversity, social integration. …”
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Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features by Hung-Wen Tsai, Chien-Yu Chiou, Wei-Jong Yang, Tsan-An Hsieh, Cheng-Yi Chen, Che-Wei Hsu, Yih-Jyh Lin, Min-En Hsieh, Matthew M. Yeh, Chin-Chun Chen, Meng-Ru Shen, Pau-Choo Chung

“…This study aims to develop a deep-learning-based automatic detection framework to assist diagnosis. …”
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Exploring perspectives of Dscam for cognitive deficits: a review of multifunction for regulating neural wiring in homeostasis by Yinyi Xiong, Li Li, Xiaorong Zhang

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A Distributional Regression Network With Data Transformation for Calibrating Rainfall Forecasts by Zeqing Huang, Andrew Schepen, James C. Bennett, David E. Robertson, Tongtiegang Zhao, Eun‐Soon Im, Quan J. Wang

“…Abstract Machine learning methods provide a promising approach for exploiting relationships between raw forecasts and observations for forecast calibration. …”
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YOLOv7scb: A Small-Target Object Detection Method for Fire Smoke Inspection by Dan Shao, Yu Liu, Guoxing Liu, Ning Wang, Pu Chen, Jiaxun Yu, Guangmin Liang

“…We also replace the conventional complete intersection over union (CIoU) loss function with Focal-CIoU, which reduces the degrees of freedom in the loss function and improves the model’s robustness. …”
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Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The training process incorporates a hybrid loss function that combines supervised contrastive (SC) learning and cross-entropy (CE) loss to enhance feature discrimination. …”
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Successful management of a case of sudden cardiac arrest in a postoff-pump coronary artery bypass graft surgery patient on fourth postoperative day and lessons learned: A resuscita... by Kunal Sarin, Naresh Dhawan, Vikas Kumar Shankhyan

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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…For the optimization algorithm, we opted for the Adam optimizer and utilized the cross-entropy loss function. Additionally, we implemented ELU activation function, data augmentation, learning rate decay, and early stopping strategies to enhance the training efficiency and generalization capability of the model. …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

“…In this approach, volume was modeled as a function of diameter at breast height (d) alone and as a function of both d and total tree height (h). …”
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Discussion on Disaster Remote Sensing Application Service Based on Ground Information Port by Qiao HU, Zuoya ZHENG, Gang LIU, Linyao QIU, Yanfeng WU

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Deep factorization machine model based on attention capsule by Yiran GU, Zhupeng YAO, Haigen YANG

“…Aiming at the problems of single feature combination of recommendation model, resolution of a large amount of valuable feature information, and over-fitting in deep learning, a new attentional scoring mechanism called attention capsule was designed, and a deep factorization machine model based on attention capsule was proposed.Users’ historical clicking and candidate items were processed through weight calculation based on the DeepFM model, reducing the impact of irrelevant features on the model, and the differential impact of different historical behaviors on users’ interests was fully explored.The adaptive regularization formulation was added to the training, which effectively reduced over-fitting without affecting the training speed.The comparison test on two public data sets shows that the proposed model is significantly enhanced in loss function and GAUC compared to other models.…”
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Deep factorization machine model based on attention capsule by Yiran GU, Zhupeng YAO, Haigen YANG

“…Aiming at the problems of single feature combination of recommendation model, resolution of a large amount of valuable feature information, and over-fitting in deep learning, a new attentional scoring mechanism called attention capsule was designed, and a deep factorization machine model based on attention capsule was proposed.Users’ historical clicking and candidate items were processed through weight calculation based on the DeepFM model, reducing the impact of irrelevant features on the model, and the differential impact of different historical behaviors on users’ interests was fully explored.The adaptive regularization formulation was added to the training, which effectively reduced over-fitting without affecting the training speed.The comparison test on two public data sets shows that the proposed model is significantly enhanced in loss function and GAUC compared to other models.…”
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Protocol of the pilot study to test and evaluate the iCARE tool: a machine learning-based e-platform tool to make health prognoses and support decision-making for the care of older... by John P Hirdes, Hao Luo, Davide L Vetrano, Graziano Onder, Jonathan Chen, Violetta Kijowska, Katarzyna Szczerbińska, Johanna Edgren, Amaia Calderón-Larrañaga, George Heckman, Ron MC Herings, Johanna de Almeida Mello, Anja Declercq, Mark Hoogendoorn, Caitlin McArthur, Mari Aaltonen, Yi Chai, Karlijn J Joling, Micaela Jantzi, Rosa Liperoti, Melissa Northwood, Ilona Barańska, Agata Stodolska, Hein P J van Hout, Margaret Saari, Luca Mariotti, Emiel O Hoogendijk, Luke Turcotte, Louk Smalbil, Elizabeth P Howard, John N Morris, Daniela Fialová, Eline CM Kooijmans, Riikka-Leena Leskelä, Jokke Häsä, Georg Ruppe, Carmen Angioletti, Olena Antonenko, Shireen Aziz, Gustavo Betini, Jovana Brkič, Roberto Da Cas, Daniel Da Cunha Leme, Lu Dai, Cecilia Damiano, Natalia Drapała, Bonaventure Egbujie, Collin JC Exmann, Harriet Finne-Soveri, Charlene France, Tiziana Grisetti, Ira Haavisto, Sophie Hogeveen, Paweł Jagielski, Laurian Jongejan, Jet E Klunder, Ingrid Kummer, Anna Lukačišinová, Matti Mäkelä, Krista Mathias, Amanda Mofina, Reem Mulla, Mikko Nuutinen, Sandra Ochwat, Paula Pennanen, Jitka Pokladníková, Bregtje Proost, Ahmer Raza, Emanuele Rocco Villani, Jindra Reissigová, Erez Schachter, Katarzyna Sekulak, Chi-Ling Joanna Sinn, Andrea Vokálová, Adrianna Ziuziakowska, Mari Lahelma, Anna-Maria Hiltunen, Anna Salminen, Mor Alon, Collin Exmann, Wiebe Boorsma, Johanna de Almeida Mello, Hein PJ van Hout

“…The tool uses machine learning techniques applied to data from interRAI assessments, enriched with registry data, to predict health trajectories and evaluate pharmacological and non-pharmacological interventions. …”
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Modelo de aprendizaje para la selección de un proyecto diseño-construcción (llave en mano) en el sector público A learning model for design-build project selection in the public se... by Alfonso Bastias, Keith R Molenaar

“…This model adjusts parameters and functions using artificial intelligence as the main knowledge engine. …”
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Study of high-speed malicious Web page detection system based on two-step classifier by Zheng-qi WANG, Xiao-bing FENG, Chi ZHANG

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Leveraging psychedelic neuroscience to boost human creativity using artificial intelligence by Brian M. Ross

“…Psychedelics likely enhance creativity by altering brain function, notably the activity of the Default Mode Network, which leads to changes in cognition. …”
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