Piloting creative engagement strategies to explore themes of parenthood with fathers by Iryna Culpin, Iryna Culpin, Catherine Lamont-Robinson, Mark Billington, Matthew James, James Prewett, Gareth Ward, Mireia Bes Garcia, Giovanni Biglino, Giovanni Biglino

“…Two further shorter sessions followed as fathers' key messages emerged, and the final forms of their own creative expressions crystallised.ResultsThe final pieces included a musical composition around sharing vulnerability as a new father, a word cloud to represent gendered language of parenthood, an animated graphic image representing the bond between father and child, a combination of short poetic stanzas highlighting assumptions around fatherhood, an experiential photographic record of a father and a son in the early years, and a cartoon strip around emotional intelligence in parenting.DiscussionArts-based participatory engagement enabled to capture deep-rooted experiences of being a father in modern society, illuminating common cultural and intergenerational perspectives, while also tapping into unique individual experiences. …”
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External particle mixing influences hygroscopicity in a sub-urban area by S. Deshmukh, L. Poulain, B. Wehner, S. Henning, J.-E. Petit, P. Fombelle, P. Fombelle, O. Favez, H. Herrmann, M. Pöhlker, M. Pöhlker

“…<p>Hygroscopicity strongly influences aerosol properties and multiphase chemistry, which is essential in several atmospheric processes. Although CCN (cloud condensation nuclei) properties are commonly measured, sub-saturated hygroscopicity measurements remain rare. …”
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Global Elevation Inversion for Multiband Spaceborne Lidar: Predevelopment of Forest Canopy Height by Haowei Zhang, Wei Gong, Hu He, Yue Ma, Weibiao Chen, Jiqiao Liu, Ge Han, Zhiyu Gao, Wanqi Zhong, Xin Ma

“…Compared to single-band spaceborne lidars such as the global ecosystem dynamics investigation (GEDI) and Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), multiband spaceborne lidars improve the detection of the canopy and ground. …”
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Stretchable plasmonic metasurfaces for deformation monitoring by Li Peiyang, Gao Kaikai, Ma Ruize, Pan Kai, Li Dong, Liu Feng, Li Peng, Gan Xuetao, Zhao Jianlin, Wen Dandan

“…This metasurface can generate different point cloud patterns under varying stretch ratios when illuminated by a laser beam. …”
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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan by Tanweer Abbas, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Irfan Ali, Hafiz Umar Farid, Muhammad Usman Ali

“…Landsat 7, Landsat 8, and Sentinel-2 satellite imagery within the Google Earth Engine (GEE) cloud platform was utilized to create 2003, 2013, and 2023 LULC maps via supervised classification with a random forest (RF) classifier, which is a subset of artificial intelligence (AI). …”
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Geometrical Distances of Extragalactic Binaries through Spectroastrometry by Yu-Yang Songsheng, Jian-Min Wang, Yuan Cao, XueFei Chen, JianPing Xiong, Zhi-Xiang Zhang, Rong-Gen Cai

“…For a typical eclipsing binary in the Large Magellanic Cloud, the distance uncertainty is approximately 6% under reasonable observational conditions. …”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Penelitian ini akan memanfaatkan analisis sentimen menggunakan word cloud, analisis tren dan distribusi, dan pembandingan lima algoritma machine learning, yakni Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, dan Random Forest. …”
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Evaluating implementation of a hospital‐based cancer registry to improve childhood cancer care in low‐ and middle‐income countries by Melissa R. Maas, Allison Yang, Michele A. Muir, James B. Collins IV, Courtney Canter, Gevorg Tamamyan, Inam Chitsike, Francine Kouya, Kim Hoa Nguyen, Alia Ahmad, Ana Patricia Alcasabas, Yi‐Jin Gao, Kimberly J. Johnson, Gia Ferrara, Nickhill Bhakta, Benyam Muluneh

“…Jude Global Childhood Cancer Analytics Resource and Epidemiological Surveillance System (SJCARES) is a cloud‐based HBCR network facilitating quality data collection of pediatric cancer. …”
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Novel image registration algorithm for scene-matching navigation by Hongrui YANG, Qiju ZHU, Peixian CAO, Hao GU, Dongdong ZHAO

“…Compared with traditional simultaneous localization and mapping for visual navigation, which requires extensive computation for continuous point cloud mapping, scene matching ensures real-time performance without such demands. …”
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Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

“…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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Implementation of prehospital point-of-care ultrasound using a novel continuous feedback approach in a UK helicopter emergency medical service by Salman Naeem, Shadman Aziz, Thomas Hirst, Johannes Strobel, Jamin M. Mulvey, Ailidh Lang, Jankee Patel, Alexander Smith, Ka Jun Cheng, Michael Palmer, Jonas Schlautmann, Michael D. Christian, Daniel Nevin

“…Scans were archived in a cloud-based server and reviewed weekly by expert clinicians. …”
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Going, going, gone: Landscape drying reduces wetland function across the American West by J. Patrick Donnelly, Johnnie N. Moore, John S. Kimball, Kelsey Jencso, Mark Petrie, David E. Naugle

“…To improve our understanding of rapid ecosystem change, we reconstructed monthly wetland surface water hydrology in the western U.S. from 1984 to 2023 using cloud computing and ∼ 150,000 satellite images to measure shifts in the timing and duration of inundations. …”
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…The models were subsequently applied to all cloud-free OLCI images from Hulun Lake during the ice-free periods from 2016 to 2023, producing spatiotemporal distribution maps of the different phytoplankton biomass abundance. …”
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Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms by Dilinuer Tuoliewubieke, Weiyi Mao, Junqiang Yao, Xu Zhang, Shujuan Li, Ping Chen, Liyun Ma, Jing Chen

“…In May, downward motion due to reduced cloud cover, resulting in an increase in net shortwave radiation flux reaching the surface. …”
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Robotic Assistance is Associated With No Intraoperative Fluoroscopy or Radiation Exposure During Direct Anterior Total Hip Arthroplasty by Sean Sequeira, MD, Alan Brett, PhD, Joseph Nessler, MD, Benjamin Frye, MD, Michael A. Mont, MD

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CitySEIRCast: an agent-based city digital twin for pandemic analysis and simulation by Shakir Bilal, Wajdi Zaatour, Yilian Alonso Otano, Arindam Saha, Ken Newcomb, Soo Kim, Jun Kim, Raveena Ginjala, Derek Groen, Edwin Michael

“…Our data pipelines and workflows are designed purposefully to be flexible and scalable so that we can implement the system on hybrid cloud/cluster systems and be agile enough to address different population settings and indeed, diseases. …”
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Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland by Z. Brasseur, J. Schneider, J. Lampilahti, V. Vakkari, V. Vakkari, V. A. Sinclair, C. J. Williamson, C. J. Williamson, C. Xavier, C. Xavier, D. Moisseev, D. Moisseev, M. Hartmann, P. Poutanen, M. Lampimäki, M. Kulmala, T. Petäjä, K. Lehtipalo, K. Lehtipalo, E. S. Thomson, K. Höhler, O. Möhler, J. Duplissy

“…<p>Ice nucleating particles (INPs) play a crucial role in initiating ice crystal formation in clouds, influencing the dynamics and optical properties of clouds and their impacts on precipitation and the climate system. …”
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