AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice by Marco Reisert, Fabian Bamberg, Maximilian Frederik Russe, Philipp Rebmann, Phuong Hien Tran, Elias Kellner, Elmar Kotter, Suam Kim

“…Representative classification and segmentation models were trained on 80% of the data. After output binarisation, their derived fracture detection performances as well as that of a standard commercially available solution were compared on the remaining X-rays (20%) using mainly accuracy and area under the receiver operating characteristic (AUROC).Results A total of 2856 examinations with 712 (24.9%) fractures were included in the analysis. …”
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Efficacy of non-surgical treatments for acute non-specific low back pain: protocol for systematic review and network meta-analysis of randomised controlled trials by Geronimo Bejarano, Robert J Trager, Anthony N Baumann, Wren Burton, Elizabeth R Blackwood, Benjamin D Holmes, Christine M Goertz

“…Results will be submitted to a peer-reviewed journal and presented at conference(s). De-identified data will be made available in a public repository.…”
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Development of portable color detector: its application for determination of Munsell Soil Color by Heriyanto Syafutra, Muhammad Khoirul Anam, Faozan Ahmad, Desi Nadalia, Rudi Heryanto, Ganesha Antarnusa, Rofiqul Umam, Hirotaka Takahashi

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An innovation of two established methods for monitoring water colour and clarity: participatory science using the mini- and midi- secchi disks by Robert J. W. Brewin, Robert J. W. Brewin, Xuerong Sun, Joanne L. Wood, Thomas G. Brewin, Thomas G. Brewin, Delaney McBride, B. Troy Frensley, Philip J. Bresnahan, Stefan G. H. Simis, Norbert Schmidt, Grinson George, Ancy C. Stoy, Ancy C. Stoy, Nandini N. Menon, Jasmin Chekidhenkuzhiyil, Anas Abdulaziz, Shubha Sathyendranath, Lilian A. Krug, Lilian A. Krug, Nabanita Das, Subrata Sarker, Natacha Pasche, Laurence Haller, Yasmin Ghadyani, Daniel Odermatt, Daniel Odermatt, Alexandre Camus, Suzanne Mader, Adrien Bonny, Alexis Pochelon, Akintoye Edward Akinnigbagbe, Mauricio Almeida Noernberg, Edem Mahu, Ousmane Diankha, Adriana Gonzalez-Silvera, Waqar Ahmed, Samina Kidwai, Rodrigo Hernandez-Moresino, Ahmed Hussein Mohamed, Wilfried Essowè Panassa, Noir Primadona Purba, Stella Patricia Betancur-Turizo, Lamona Irmudyawati Bernawis, Houssem Smeti, Houssem Smeti, Happiness Anold Moshi, Happiness Anold Moshi

“…To date, over 900 mini- and midi-Secchi disks have been distributed to citizens and scientists, primarily through six projects, with data mostly transferred via mobile phone applications to data servers and dashboards. …”
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Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging by Paul J. Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

“…Metabolic images clearly visualize glioma tumor heterogeneity and boundary. …”
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An Intelligent Diagnosis Method for NIID Based on Cross Self-supervision and DWI by CAO Fei, XU Qianqian, CHEN Hao, ZU Jie, LI Xiaowen, TIAN Jin, BAO Lei

“…The experiment preprocessed 249 DWI data and divided them into 204 training sets and 45 test sets. …”
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Enhanced individual difference of functional brain network induced by volitional eyes closing by Yi Zhang, Guiyang Lv, Panpan Han, Nianqiang Peng, Longhui Li, Jun Gu, Yue Liu, Xin Shi

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Higher-order and distributed synergistic functional interactions encode information gain in goal-directed learning by Etienne Combrisson, Ruggero Basanisi, Matteo Neri, Guillaume Auzias, Giovanni Petri, Daniele Marinazzo, Stefano Panzeri, Andrea Brovelli

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Cloud-based modeling for precision light regulation and energy efficiency optimization in hydroponic leafy vegetable production systems in plant factory by Daixuan Qu, Guohua Gao, Zihua Zhang, Zhenjiang Zhu, Junshuo Cong

“…The first is a growth prediction model based on daily light use efficiency, informed by experimental data and environmental factor analysis. The second is a multi-objective optimization module using NSGA-II to minimize fresh weight deviation and energy consumption. …”
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A Comprehensive Review of Transformer Winding Diagnostics: Integrating Frequency Response Analysis with Machine Learning Approaches by Meysam Beheshti Asl, Issouf Fofana, Fethi Meghnefi, Youssouf Brahami, Joao Pedro Da Costa Souza

“…Integrating Machine Learning (ML) with FRA can significantly enhance fault diagnosis by automatically identifying complex patterns within the data that are difficult to detect using through human analysis. …”
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KDFF-DETR: Knowledge-Driven Feature Fusion DETR for Spaceborne Infrared Ship Detection by Yifei Peng, Ze Tao, Jian Zhang, Rongchang Zhao, Chao Liu, Hui Sun

“…Spaceborne infrared imagery provides substantial data support for ship detection due to its adaptability and all-weather reconnaissance capabilities. …”
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Prevalence of Severe Disability and Its Associated Factors in Northwestern Ethiopia: Evidence From Dabat District of Amhara National Regional State by Solomon Mekonnen Abebe, Mikyas Abera, Ansha Nega, Zemichael Gizaw, Mulugeta Bayisa, Solomon Fasika Demissie, Molalign Belay, Abel Fekadu, Wondwossen Wakene, Getachew Azeze Eriku

“…This prevalence increased with age. Visual impairments were the most commonly reported type of disabilities. …”
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SpikeAtConv: an integrated spiking-convolutional attention architecture for energy-efficient neuromorphic vision processing by Wangdan Liao, Fei Chen, Fei Chen, Changyue Liu, Weidong Wang, Weidong Wang, Weidong Wang, Hongyun Liu, Hongyun Liu

“…The architecture features optimized spiking modules that facilitate the processing of spatio-temporal patterns in visual data, aiming to reconcile the computational demands of high-level vision tasks with the energy-efficient processing of SNNs.ResultsExtensive experiments show that the proposed SpikeAtConv architecture outperforms or is comparable to the state-of-the-art SNNs on the datasets. …”
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Accurate cross-species 5mC detection for Oxford Nanopore sequencing in plants with DeepPlant by He-Xu Chen, Zhen-Dong Liu, Xin Bai, Bo Wu, Rong Song, Hui-Cong Yao, Ying Chen, Wei Chi, Qian Hua, Liang Cheng, Chuan-Le Xiao

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Breastfeeding and Complementary Feeding are Associated With Cognition and Vision in Rural Ghanaian Infants by Mary Amoako, Fiifi Amoako Atta Panyin Essiam, Kwadwo Owusu Akuffo, Moses Awuni, Samson Darrah, Helena Nti

“…Cognition was assessed with the Caregiver Reported Early Development Instruments while visual acuity was assessed with Teller Acuity Cards. …”
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Outcomes and Prognostic Factors of Posttraumatic Endophthalmitis: A Three-Year Retrospective Study by Jian Ma, Yinhui Yu, Yueyang Zhong, Xing Mao, Xiaoyun Fang

“…Each patient’s data, including demographic characteristics, ocular injury details, surgical records, patient outcomes, and laboratory results, were collected and analyzed. …”
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Feature-Centric Video Transmission and Analytics in Large-Scale Internet of Video Things by Hongan Wei, Yuxiang Liu, Kejian Hu, Liqun Lin, Youjia Chen, Tiesong Zhao, Wanjian Feng

“…The interconnection of large-scale visual sensors is called the Internet of Video Things (IoVT), which brings a qualitative leap to the interaction of urban information. …”
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Glutamine catabolism supports amino acid biosynthesis and suppresses the integrated stress response to promote photoreceptor survival by Moloy T Goswami, Eric Weh, Shubha Subramanya, Katherine M Weh, Hima Bindu Durumutla, Heather Hager, Nicholas Miller, Sraboni Chaudhury, Anthony Andren, Peter Sajjakulnukit, Li Zhang, Cagri Besirli, Costas A Lyssiotis, Thomas J Wubben

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CryoEM structure and small-angle X-ray scattering analyses of porcine retinol-binding protein 3 by Vineeta Kaushik, Luca Gessa, Nelam Kumar, Matyáš Pinkas, Mariusz Czarnocki-Cieciura, Krzysztof Palczewski, Jiří Nováček, Humberto Fernandes

“…The vertebrate visual cycle hinges on enzymatically converting all-trans-retinol (at-ROL) into 11-cis-retinal (11c-RAL), the chromophore that binds to opsins in photoreceptors, forming light-responsive pigments. …”
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EXPERIMENTAL METHODS OF EXPLORING MULTIMODAL DISCOURSE: CROSSMODAL ALIGNMENT by Mariya I. Kiose, Vadim O. Potekhin, Oleg D. Zubkov

“…Data analysis allows to determine and scale the degree of crossmodal alignment to discourse tasks, which helps identify the input of each mode to solving these tasks. …”
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