Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

“…MSGANet-OD was trained and tested on an in-house clinical color retinal image dataset captured during ophthalmodynamometry as well as on several publicly available color fundus image datasets, e.g., DRISHTI-GS, RIM-ONE-r3, and REFUGE1. …”
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Social Justice and Health Equity in the Teaching and Learning Environment: Perspectives of Academic Leaders in Health Profession Education Programmes by Benita Cohen, Debra Beach Ducharme, Moni Fricke, Alan Katz, Laura MacDonald, Donna Martin, Christen Rachul, Gayle Restall, Dana Turcotte

“…The objective of this study was to explore the perspectives of health profession education leaders about their individual and collective vision for a TLE that promotes SJ/HE and its actualization. A qualitative descriptive approach was utilized to gather, synthesize and make meaning of the perspectives of academic leaders in one Canadian health professional faculty. …”
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Senses of justice after managed retreat in New York city by Veronica Olivotto, Veronica Olivotto, Katinka Wijsman, Timon McPhearson, Timon McPhearson, Timon McPhearson

“…It grounds this analysis in 18 in-depth interviews with local residents capturing their perceptions of vacant land and its reuse, flood risk and neighborhood needs. …”
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A Framework for Promoting Passive Breast Cancer Monitoring: Deep Learning as an Interpretation Tool for Breast Thermograms by Mohamad Firouzmand, Keivan Majidzadeh, Maryam Jafari, Shahpar Haghighat, Rezvan Esmaeili, Leila Moradi, Nima Misaghi, Mahsa Ensafi, Fatemeh Batmanghelich, Mohammadreza Keyvanpour, Seyed Vahab Shojaedini

“…In comparison to DMR, the lower statistics of the proposed database (between 2 and 7 percent) indicates that more diverse breast thermograms should be captured in conjunction with improvements to imaging equipment as well as adherence to thermography recording protocols in order to improve the reliability and efficiency of the database.…”
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Neuroeconomically dissociable forms of mental accounting are altered in a mouse model of diabetes by Chinonso A. Nwakama, Romain Durand-de Cuttoli, Zainab M. Oketokoun, Samantha O. Brown, Jillian E. Haller, Adriana Méndez, Mohammad Jodeiri Farshbaf, Y. Zoe Cho, Sanjana Ahmed, Sophia Leng, Jessica L. Ables, Brian M. Sweis

“…Here, we characterized value-based decision-making behavior of a streptozocin-induced diabetic mouse model on Restaurant Row, a naturalistic neuroeconomic foraging paradigm capable of behaviorally capturing multiple decision systems known to depend on dissociable neural circuits. …”
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Anti-lipid-oxidation effects and edible safety evaluation of the oil extracted by a supercritical CO2 process from coix seed fermented by Monascus purpureus by Haiying Zeng, Anran Zhu, Shengling He, Mingjun Wu, Muhammad Mazhar, Anyan Wen, Na Liu, Likang Qin, Song Miao

“…In addition, the FCS-O has been confirmed to be a very safe edible oil, with no acute toxicity (LD50 > 10 g/kg bw, considered actually non-toxic) and no induced mutagenicity, cytotoxicity or genotoxicity. …”
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Effective Connectivity Study Guiding the Neuromodulation Intervention in Figurative Language Comprehension Using Optical Neuroimaging by Tania Alexandra Couto, Shiyang Xu, Paulo Armada da Silva, Chenggang Wu, Karl Neergaard, Meng-Yun Wang, Juan Zhang, Yutao Xiang, Zhen Yuan

“…The method is aimed at mapping significant causal relationships across language brain networks, captured by functional near-infrared spectroscopy measurements (fNIRS): (i) definition of regions of interest (ROIs) based on significant channels extracted from spatial activation maps; (ii) inspection of significant causal relationships in temporal resolution, exploring the experimental task agreement; and (iii) early identification of stronger causal relationships that guide neuromodulation intervention, targeting impaired connectivity pathways. …”
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Characterizing the agroecological transition of Italian farming systems using FADN database by Sarah Stempfle, Simone Russo, Vincenzo Fiore, Ruggiero Sardaro, Piermichele La Sala, Luigi Roselli

“…Although essential environmental and social information will be included in the forthcoming Farm Sustainability Data Network, further integrative sources should be explored to capture multifaced aspects of agroecological transition within broader agri-food systems, while in-depth studies based on primary data collection could offer more detailed and nuanced insights.…”
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Understanding and Modeling the Dynamics of Storm‐Time Atmospheric Neutral Density Using Random Forests by K. Murphy, A. J. Halford, V. Liu, J. Klenzing, J. Smith, K. Garcia‐Sage, J. Pettit, I. J. Rae

“…During quiet‐times, all three models perform well; however, during geomagnetic storms, the combined high cadence solar iradiance/geomagnetic model performs significantly better than the models based solely on solar activity. The combined model capturing an additional 10% in the variability of density and having an error up to six times smaller during geomagnetic storms then the solar models. …”
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Betalain–Chickpea Protein Particles Produced by Freeze Drying and Spray Drying: Physicochemical Aspects, Storage Stability, and In Vitro Digestion by Mary H. Grace, Roberta Targino Hoskin, Malak Alghamdi, Mary Ann Lila, Vesela I. Chalova

“…The encapsulation method affected particles’ morphology, water activity, hygroscopicity, solubility, and color. Particles captured total betalains of 9.30 ± 0.61 and 4.40 ± 0.92 mg/g for CB-SD and CB-FD, respectively. …”
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Gamified Shoulder Rehabilitation for Mild Stroke Patients Using Virtual Reality by Roy Francis Navea, Vincent Mao Talde, Francisco Luis Armintia, Sarrah Mae Dela Cruz, Gabriel Medina, Alvin Decena

“…Gamification in VR has the potential to transform traditional methods in healthcare, education, training, and entertainment by providing an engaging, interactive experience that captures users' attention and fosters positive outcomes.…”
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Effect of interface morphology on tensile response of Ti6Al4V alloy fabricated by laser hybrid additive manufacturing: Experiments & simulations by Wei Fan, Guang Hu, Yuguang Chen, Yue Du, Yijie Peng, Yongxia Wang, Yunlong Li, Hua Tan, Fengying Zhang, Xin Lin

“…A novel numerical simulation approach is employed to capture the transitional properties of the interface, which are often simplified in traditional models. …”
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Renal Dysfunction, Metabolic Syndrome and Cardiovascular Disease Mortality by David Martins, Chizobam Ani, Deyu Pan, Omolola Ogunyemi, Keith Norris

“…Renal disease is commonly described as a complication of metabolic syndrome (MetS) but some recent studies suggest that Chronic Kidney disease (CKD) may actually antecede MetS. Few studies have explored the predictive utility of co-clustering CKD with MetS for cardiovascular disease (CVD) mortality. …”
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Effect of digital elevation model’s resolution in producing flood hazard maps by J.L. Ogania, G.R. Puno, M.B.T. Alivio, J.M.G. Taylaran

“…The two-dimensional models were processed using three different digital elevation models, captured through light detection and ranging, interferometric synthetic aperture radar, and synthetic aperture radar technologies, to simulate and compare the flood inundation of 5-, 25- 100-year return periods. …”
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Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching by Changfeng Cao, Wenchuan Zhang, Hua Yang, Dan Ruan

“…Specifically, a Cycle Heterogeneous Trajectory Translation Network (CCTTN) is proposed to realize a TFE (Trajectory Feature Extractor) which captures the latent transforming relationships between the face and phone modalities. …”
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One size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screening by James Wellnitz, Sankalp Jain, Joshua E. Hochuli, Travis Maxfield, Eugene N. Muratov, Alexander Tropsha, Alexey V. Zakharov

“…We show that training on imbalanced datasets achieves a hit rate at least 30% higher than using balanced datasets, and that the PPV metric captured this difference of performance with no parameter tuning. …”
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Fatigue State Evaluation of Urban Railway Transit Drivers Using Psychological, Biological, and Physical Response Signals by Hao Wu, Yubo Jiao, Chaozhe Jiang, Tong Wang, Jiangbo Yu

“…The results indicate that as the length of the time window increases, the data captures more comprehensive information, leading to improved fatigue detection accuracy. …”
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Intrinsically anisotropic 1D NbTe4 for self-powered polarization-sensitive photodetection by Huahu Luo, Fafa Wu, Chaowei He, Wanfu Shen, Chunguang Hu, Weina Zhao, Peng Yu, Guowei Yang

“…Abstract Polarization-sensitive photodetection enhances scene information capture, crucial for modern optoelectronic devices. …”
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Genetic coupling of enhancer activity and connectivity in gene expression control by Helen Ray-Jones, Chak Kei Sung, Lai Ting Chan, Alexander Haglund, Pavel Artemov, Monica Della Rosa, Luminita Ruje, Frances Burden, Roman Kreuzhuber, Anna Litovskikh, Eline Weyenbergh, Zoï Brusselaers, Vanessa Xue Hui Tan, Mattia Frontini, Chris Wallace, Valeriya Malysheva, Leonardo Bottolo, Elena Vigorito, Mikhail Spivakov

“…Here, we study the effects of expression quantitative trait loci (eQTLs) on enhancer activity and promoter contacts in primary monocytes isolated from 34 male individuals. Using eQTL-Capture Hi-C and a Bayesian approach considering both intra- and inter-individual variation, we initially detect 19 eQTLs associated with enhancer-eGene promoter contacts, most of which also associate with enhancer accessibility and activity. …”
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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction by James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

“…Traditional physics-based models, while valuable, can be computationally intensive and may not fully capture the complexities of real-world reactor behavior. …”
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