Can collaborative orientations strengthen or weaken effectiveness of improvisers’ emergency response to an emergency incident? A conditional process model by Tu JunMei, Xu Zhengquan

“…This may suggest that the individual response to emergency tasks is likely to differ from that in daily work contexts. …”
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Enhancing Coffee Agroforestry Systems Suitability Using Geospatial Analysis and Sentinel Satellite Data in Gedeo Zone, Ethiopia by Wondifraw Nigussie, Husam Al-Najjar, Wanchang Zhang, Eshetu Yirsaw, Worku Nega, Zhijie Zhang, Bahareh Kalantar

“…The actual field data were overlaid on Sentinel-1, which was used to extract the raster value. …”
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DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers by Luc Lerch, Luc Lerch, Lukas S. Huber, Lukas S. Huber, Amith Kamath, Alexander Pöllinger, Aurélie Pahud de Mortanges, Verena C. Obmann, Florian Dammann, Walter Senn, Walter Senn, Mauricio Reyes, Mauricio Reyes, Mauricio Reyes

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Ultra-processed food consumption and cardiometabolic risk in Canada: a cross-sectional analysis of the Canadian health measures survey by Angelina Baric, Vasanti S. Malik, Anthea Christoforou

“…Methods Drawing on the Canadian Health Measures Survey (2016/17 and 2018/19), this study investigates the relationship between UPF consumption and cardiometabolic risk factors among Canadians (ages 19–79, n = 6517). Dietary data collected by Food Frequency Questionnaire was classified as UPF or not using the NOVA classification system which scores foods by degree of processing. …”
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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…Transformer-based models have shown outstanding results in natural language processing but face challenges in applications like classifying small-scale clinical texts, especially with constrained computational resources. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…<p>Deep learning models have demonstrated remarkable success in fields such as language processing and computer vision, routinely employed for tasks like language translation, image classification, and anomaly detection. …”
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Identification and determination of resistance to antimycotic factors in yeast clinical isolates during respiratory diseases by Irina S. Andreeva, V. V. Morozova, A. S. Kabanov

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Gone and forgotten? Predictors of birth history omissions in India by Sharan Sharma, Sonalde Desai, Debasis Barik, Om Prakash Sharma

“…For children alive in wave 1, female children are much more likely to be omitted in wave 2 compared to male children. …”
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Measurement report: Surface exchange fluxes of HONO during the growth process of paddy fields in the Huaihe River Basin, China by F. Meng, F. Meng, B. Han, B. Han, M. Qin, W. Fang, W. Fang, K. Tang, D. Shao, D. Shao, Z. Liao, Z. Liao, J. Duan, Y. Feng, Y. Feng, Y. Huang, Y. Huang, T. Ni, T. Ni, P. Xie, P. Xie, P. Xie, P. Xie

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Scientists, but deny science? Climate change sceptics networks on YouTube led by scientists by Qiaoyi Liu, Yuheun Kim, Jeff Hemsley

“…We find that denying scientists question the validity of anthropogenic climate change using objective terms such as ‘Co2’, ‘history’, ‘data’, etc., while non-scientists rarely mention these terms, instead frequently using words like ‘money’, ‘truth’. …”
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Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

“…This review addresses this gap by investigating the potential role of AI in analysing online fraud using text data. Methods We conducted a Systematic Literature Review (SLR) to investigate the application of AI and Natural Language Processing (NLP) techniques for online fraud detection. …”
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Species Diversity And Resistance Markers of <i>Candida</i> Yeasts In COVID Positive and COVID Negative Patients With Community-Acquired Pneumonia by N. V. Aronova, N. V. Pavlovich, M. V. Tsymbalistova, M. V. Poleeva, A. S. Anisimova, S. O. Vodopyanov, A. K. Noskov

“…A high percentage of strains resistant to fluconazole was identified after determining the sensitivity of fungi to antimycotics.Conclusion. The data obtained demonstrate that yeast and yeast-like fungi are the dominant associates in complicated forms of CAP. …”
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Investigation on short-term slow slip events in the northeast Japan subduction zones using decadal GNSS data by Yutaro Okada, Takuya Nishimura

“…Although the estimated fault size has a large uncertainty, the average fault model is located offshore Hokkaido and overlaps with the source area of very low-frequency earthquakes, tectonic tremors, and the afterslip of the 2003 Tokachi-Oki earthquake. Our scrupulous data processing and techniques to emphasize deformation signals demonstrate the overlap between the source area of the SSEs and those of other interplate slip phenomena including repeating earthquakes, seismic slow earthquakes, and afterslip. …”
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

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Volumetric tumor segmentation according to diffusion-weighted MRI data in predicting and evaluating the response to chemotherapy in bladder cancer by E. G. Grigoriev, I. G. Frolova, E. A. Usynin, A. V. Usova, S. A. Tabakaev

“…According to the ADC data, shape of the tumor and its relation to the bladder wall, the coefficient (C) for predicting the response to chemotherapy was calculated. …”
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The role of advanced machine learning in COVID-19 medical imaging: A technical review by Abdul Muiz Fayyaz, Said Jadid Abdulkadir, Shahab Ul Hassan, Safwan Mahmood Al-Selwi, Ebrahim Hamid Sumiea, Lareib Fatima Talib

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Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

“…The proposed model of transmitting the secured data in UASN through the optimal path involves two major phases. …”
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Optimization effect of video data extraction and search based on Faster-RCNN hybrid model on intelligent information systems by Zhang Pei, Chen Zhengyi

“…The swift surge of video content depicts enormous challenges for intelligent information systems in extracting and searching video data. This article explores improvements achieved by introducing a Faster-RCNN hybrid model into video data extraction and search processes. …”
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Multi-Targeted Textual Backdoor Attack: Model-Specific Misrecognition via Trigger Position and Word Choice by Taehwa Lee, Soojin Lee, Hyun Kwon

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Foaming properties and olfactory profile of fermented chickpea aquafaba and its application in vegan chocolate mousseMendeley Data by Lea Mehren, Lena Elliger, Hanna May, Andreas Schieber, Nadine Schulze-Kaysers

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