Determining the feasibility of a codesigned and personalised intervention (Veg4Me) to improve vegetable intake in young adults living in rural Australian communities: protocol for... by Ralph Maddison, John C Mathers, Sarah A McNaughton, Lauren C Blekkenhorst, Katherine M Livingstone, Gavin Abbott, Laura Alston, Jonathan C Rawstorn, Eric O, Yuxin Zhang, Scott Barnett, Stephanie R Partridge, Stephanie L Godrich, Gilly A Hendrie, Kate Dullaghan

“…Secondary outcomes are user engagement, usability and experience, as well as vegetable intake, eating habits and digital health equity. Process evaluation will be conducted in a subsample of participants using semistructured interviews. …”
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Circulating Baseline CXCR3+Th2 and Th17 Cell Proportions Correlate With Trabecular Bone Loss After 48 Weeks of Biological Treatment in Early Rheumatoid Arthritis by Julia M. Scheffler, Christina Drevinge, Catharina Lindholm, Inger Gjertsson, Kristina Lend, Merete Lund Hetland, Mikkel Østergaard, Till Uhlig, Marte Schrumpf Heiberg, Espen A. Haavardsholm, Michael T. Nurmohamed, Jon Lampa, Tuulikki Sokka‐Isler, Dan Nordström, Kim Hørslev‐Petersen, Bjorn Gudbjornsson, Gerdur Gröndal, Ronald vanVollenhoven, Hans Carlsten, Mattias Lorentzon, Anna‐Karin Hultgård Ekwall, Anna Rudin, Ulrika Islander

“…Objective The high prevalence of osteoporosis in rheumatoid arthritis (RA) is due to inflammation that stimulates differentiation of osteoclasts, a process involving circulating monocytes and T cell–derived factors. …”
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Linking intrinsic brain dysfunction to behavioral outcomes in combat-exposed males with PTSD symptoms by Deborah L. Harrington, Deborah L. Harrington, Qian Shen, Qian Shen, Annemarie Angeles-Quinto, Annemarie Angeles-Quinto, Sharon Nichols, Tao Song, Hayden Hansen, Kate A. Yurgil, Kate A. Yurgil, Roland R. Lee, Roland R. Lee, Dewleen G. Baker, Dewleen G. Baker, Dewleen G. Baker, Ming-Xiong Huang, Ming-Xiong Huang

“…Conversely, greater right PH fALFF correlated with lower hyperarousal and depression, signifying an adaptive response to stress that promotes better affective processing. Importantly, regional abnormalities were detrimental for more complex executive functions, consistent with observations that stress impedes cognitive flexibility and inhibitory control due to a persistent reliance on hypervigilant behaviors.DiscussionAn unbiased, efficient and computationally reliable imaging approach identified intrinsic dysfunction in brain regions that may be core features of CE-PTSD. …”
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Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, S. Anandha Kumar, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Susana Monserrat Zurita Polo, Rolando Marcel Torres Castillo, Ahmed M. Ebid, Paul Awoyera, Krishna Prakash Arunachalam

“…Abstract Physics-informed modeling (PIM) using advanced machine learning (ML) represents a paradigm shift in the field of concrete technology, offering a potent blend of scientific rigor and computational efficiency. By harnessing the synergies between physics-based principles and data-driven algorithms, PIM-ML not only streamlines the design process but also enhances the reliability and sustainability of concrete structures. …”
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Improving access and efficiency of acute ischemic stroke treatment across four Canadian provinces: a stepped-wedge trial by Noreen Kamal, Noreen Kamal, Noreen Kamal, Elena A. Cora, Elena A. Cora, Simone Alim, Judah Goldstein, Judah Goldstein, David Volders, David Volders, Shadi Aljendi, Heather Williams, Patrick T. Fok, Patrick T. Fok, Patrick T. Fok, Etienne van der Linde, Trish Helm-Neima, Renee Cashin, Brian Metcalfe, Brian Metcalfe, Julie Savoie, Wendy Simpkin, Cassie Chisholm, Michael D Hill, Bijoy K. Menon, Stephen Phillips, Stephen Phillips

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Morphology and connectivity of retinal horizontal cells in two avian species by Anja Günther, Vaishnavi Balaji, Bo Leberecht, Julia J. Forst, Alexander Y. Rotov, Tobias Woldt, Dinora Abdulazhanova, Henrik Mouritsen, Henrik Mouritsen, Karin Dedek, Karin Dedek

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TPM4 overexpression drives colon epithelial cell tumorigenesis by suppressing differentiation and promoting proliferation by Rajsumeet S. Macwan, Giulio Ferrero, Barbara Pardini, Alessio Naccarati, Piotr B. Kozlowski, Michael J. Papetti

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Mobile health applications for supporting self-management of oral systemic anticancer therapy in haematological malignancies: A systematic review of acceptability and efficacy by Lena Mahalingam, Bee Kim Tan, Ping Chong Bee, Chee Hooi Teoh, Renukha Sellappans, Diana Leh Ching Ng, Azlan Husin, Sen Mui Tan, Li-Chia Chen

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Machine Learning Aided Tapered Four-Port MIMO Antenna for V2X Communications With Enhanced Gain and Isolation by Nagesh Kallollu Narayanaswamy, Yazeed Alzahrani, Krishna Kanth Varma Penmatsa, Ashish Pandey, Ajay Kumar Dwivedi, Vivek Singh, Manoj Tolani

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Does the implementation of Automatic Individual Tree Crown Delineation (ITCD) impact the early detection of bark beetle (BB) infestation in Norway spruce forests? by S. Bijou, L. Kupková, L. Červená, J. Lysák

“…Though, automatic ITCD methods are computationally efficient, manual delineation or refinement of automatic ITCD is needed for accurate monitoring of subtle spectral changes during BB infestations (green-to-yellow transition). …”
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Super-Resolution of Landsat-8 Land Surface Temperature Using Kolmogorov–Arnold Networks with PlanetScope Imagery and UAV Thermal Data by Mahdiyeh Fathi, Hossein Arefi, Reza Shah-Hosseini, Armin Moghimi

“…The KAN efficiently integrates the strengths of splines and Multi-Layer Perceptrons (MLPs), providing a more effective solution for generating LST_SR. The multi-step process involves acquiring and co-registering T_HR via the DJI Mavic 3 thermal (T) drone, I_HR from Planet (3 m resolution), and LST_LR from Landsat-8, with T_HR serving as reference data while I_HR and LST_LR are used as input features for the KAN model. …”
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Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects by Michela Goffredo, Stefano Mazzoleni, Annalisa Gison, Francesco Infarinato, Sanaz Pournajaf, Daniele Galafate, Maurizio Agosti, Federico Posteraro, Marco Franceschini

“…For that purpose, kinematic data recorded by a planar end-effector robot have been processed for investigating how motor performance in executing point-to-point trajectories with different directions changes during RT. …”
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Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

“…However, concerns related to the lack of large datasets, experimental validation, and high computational costs remain.…”
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Optimal schemes for the use of anthelmintics at gastrointestinal strongylatosis of young cattle by I. A. Arkhipov, A. I. Varlamova, E. O. Kachanova

“…The results obtained were statistically processed using the computer program Microsoft Excel.Results and discussion. …”
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Systematic review and meta analysis of mechanical properties of 3D printed denture bases compared to milled and conventional materials by Amr Azab, Walid Awad Abdelhady, Enas Elwakeel, Mohamed Ashraf, Rim Wally, Amir Soliman, Maged Ahmed Mohamed, Dina Abozaid

“…Abstract Denture base fabrication has advanced with the introduction of computer-aided design and manufacturing (CAD-CAM) techniques, such as subtractive milling and additive 3D printing. …”
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An Outbreak of a New Coronavirus Infection COVID-19 in an Educational Institution in Moscow by L N Mazankova, E R Samitova, I M Osmanov, N A Dracheva, V G Akimkin

“…A descriptive epidemiological method was used. Statistical data processing was not carried out due to the small sample size. …”
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Productivity and grain quality of winter triticale varieties (Triticosecale Wittmack el. Camus) under different soil and climatic growing conditions by A. M. Kyrylchuk, S. O. Liashenko, I. V. Bezprozvana, C. L. Chukhleb, N. P. Shcheina, V. D. Shkliar

“…Methods. The research process involved laboratory, computational and statistical methods, and analysis and synthesis to draw conclusions. …”
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Study of a Deep Learning Reconstruction Algorithm for Displaying Small- and Medium-sized Blood Vessels in Upper Abdominal Energy Spectrum CT by Qin WANG, Weijie YAN, Yuan YUAN, Hehan TANG, Liping DENG

“…Objective: To investigate the effectiveness and clinical value of using a deep learning reconstruction algorithm (DLIR) to display small blood vessels in upper abdominal computed tomography (CT) with an enhanced energy spectrum. …”
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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

“…Regarding this challenge, our research proposes a new approach in the signal processing chain and feature extraction from microtremor data that focuses mainly on the Horizontal-to-Vertical Spectral Ratio (HVSR) so as to assess liquefaction potential as a natural hazard using AI. …”
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Enhanced Regular Perturbation-Based Nonlinearity Compensation Technique for Optical Transmission Systems by O. S. Sunish Kumar, Abdelkerim Amari, Octavia A. Dobre, Ramachandran Venkatesan

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