A Study on Canopy Volume Measurement Model for Fruit Tree Application Based on LiDAR Point Cloud by Na Guo, Ning Xu, Jianming Kang, Guohai Zhang, Qingshan Meng, Mengmeng Niu, Wenxuan Wu, Xingguo Zhang

“…These results demonstrate that the PLSR model exhibits strong generalization ability, minimal prediction bias, and low average prediction error, offering a valuable reference for precision control of canopy spraying in orchards.…”
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Nutrient Profiling Models in Low- and Middle-Income Countries Considering Local Nutritional Challenges: A Systematic Review by Marie Tassy, Ries van Dijk, Alison L Eldridge, Tsz Ning Mak, Adam Drewnowski, Edith JM Feskens

“…Warning Label schemes are used to strongly discourage the consumption of energy-dense products in countries where overnutrition affects most of the population, such as Latin American LMICs. …”
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Seasonal and Regional Differences in Extreme Rainfall Events and Their Contribution to the World’s Precipitation: GPM Observations by Shailendra Kumar, Yamina Silva, Aldo S. Moya-Álvarez, Daniel Martínez-Castro

“…EREs based on various parameters are strongly linked over SAsia compared to SA. For example, the largest top 10% EREs have a higher probability to be part of the top 10% deepest and intense EREs over SAsia. …”
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Scientific breeding of winter bread wheat in the Non-Сhernozem zone of Russia: the history, methods and results by B. I. Sandukhadze, R. Z. Mamedov, M. S. Krakhmalyova, V. V. Bugrova

“…Cultivar Moskovskaya 39 (registration in 1999) was referred to strong wheat, with a stable protein content of 15–16 %, gluten 30–35 %. …”
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Diabetes Treatment with Dapagliflozin and Its Combinations: Insights from Clinical Practice by Akshay Bafna, Ajit Mehta, Rajeev Garg, Jayagopal Pathiyil Balagopalan, Rajesh Rajput, Nitin Zalte, Preethi Naik, Amarnath Sugumaran, Senthilnathan Mohanasundaram

“…The use of a triple-drug FDC of dapagliflozin plus sitagliptin plus metformin was strongly recommended by 74.40% of clinicians. Early initiation and intensification with a combination of SGLT2i and DPP4i in young T2DM patients (30–50 years) inadequately managed on metformin was highly recommended (94.58%). …”
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A Collision-Free Path-Planning Method for an Articulated Mobile Robot by P. Quintero-Alvarez, G. Ramirez, S. Zeghloul

“…This kind of robot is a strongly constrained system. Even in a free environment, under some circumstances, the robot may be blocked by its trailers in its progression towards the goal. …”
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Investigating Light and Water Optimization for Early Seedling Establishment in Albizia lebbeck (L.) Benth by Kelechi Godwin Ibeh, Adejoke Olukemi Akinyele

“…However, there was no significant difference between daily watering (W1) and moderate watering frequency (W2). Strong intrinsic synchronization was observed between the collar diameter and plant height growth trajectories over time, reflecting coordinated lateral and vertical stem expansion regulated by developmental processes. …”
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Magnetic Resonance Imaging of Contrast-Induced Acute Renal Injury and Related Pathological Alterations In Vivo by Yanfei Li, Dafa Shi, Haoran Zhang, Xiang Yao, Ke Ren

“…The microscopic appearance presents the strongest renal damage in CI-AKI mice that existed between 12 h (P<0.0001) and 24 h (P<0.05) after contrast medium (CM) injection. Strong correlation may exist between MRI densitometry (T2WI, DTI, and BOLD) and pathology. …”
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Assessing Nutritional Knowledge and Physical Health Among Football Players: A Pilot Study from Three Sports Clubs in Western Romania by Gabriel Roberto Marconi, Brigitte Osser, Gyongyi Osser, Caius Calin Miuța, Csongor Toth, Viorel Petru Ardelean, Anca Dicu, Corina Dalia Toderescu, Laura Ioana Bondar

“…Conclusions: The study highlights a strong relationship between nutritional knowledge and healthier eating habits among football players, as well as the significant role of frequent intense training in reducing body fat percentages and enhancing physical fitness. …”
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Changes in Alcohol Consumption During and After the Covid-19 Pandemic From 2020 to 2023 in a Prospective Cohort of Italian Adults by Sonia Cerrai, Giulia Carreras, Filippo Monti, Chiara Stival, Alessandra Lugo, Cristina Bosetti, Silvia Biagioni, Tiziana Fanucchi, Giuseppe Gorini, Andrea Amerio, Luisa Mastrobattista, Claudia Mortali, Anna Odone, Sabrina Molinaro, Luc Smits, Silvano Gallus, the “Lost in Italy” and “Lost in Toscana” Study Investigators

“…At-risk drinking is strongly related to mental health symptoms and nicotine consumption.…”
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Assessment of trade-off balance of maize stover use for bioenergy and soil erosion mitigation in Western Kenya by Keiji Jindo, Keiji Jindo, Golaleh Ghaffari, Manisha Lamichhane, Asher Lazarus, Yoshito Sawada, Hans Langeveld

“…RUSLE analysis revealed that soil erosion was more strongly influenced by landscape features than by soil properties or farming practices.DiscussionThe integration of SOM-HMM and microsatellite data improved field monitoring and data accuracy, providing valuable insights for sustainable agricultural practices in Kakamega. …”
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Combined effects of topography, soil moisture, and snow cover regimes on growth responses of grasslands in a low- mountain range (Vosges, France) by P.-A. Herrault, A. Ullmann, D. Ertlen

“…With shorter and more discontinuous snow cover, we expect higher diversity of growth responses in European low-mountain grasslands due to strong contextual effects and high terrain complexity.…”
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High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion by Ye Yuan, Shuguang Zhou, Jianhua Bian, Jinlin Wang, Wei Han, Jining Yan

“…Although remote sensing data provides rich surface spectral information and shows a strong correlation with geological features, its accuracy in large-scale geochemical data inversion is insufficient. …”
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The association between systemic inflammatory response index and contrast-associated acute kidney injury in patients undergoing elective percutaneous coronary intervention by Jun-Han Chen, Li-Wei Zhang, Wen-Jia Liang, Wei-ze Lin, Xiao-Fang Chen, Zhi-Jie Lin, Chang-Xi Wang, Kai-Yang Lin, Yan-Song Guo

“…After adjusting for potential confounders, multivariate analysis showed that the high SIRI group (SIRI > 1.39) was a strong independent predictor of CA-AKI in patients undergoing elective PCI compared with the low SIRI group (SIRI ≤ 1.39) (odds ratio = 1.642, 95% CI: 1.274–2.116, p < 0.001). …”
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Health Care Costs attributable to Hospital-diagnosed Back Pain: A Longitudinal Register-based Study of the Danish Population by Rikke Søgaard, Jan Sørensen

“…Analytical studies that guide the management of this disease are strongly needed, but there is a lack of cost estimates for the attributable cost of severe or chronic back pain in particular. …”
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Beyond variance: simple random distributions are not a good proxy for intraspecific variability in systems with environmental structure by Girard-Tercieux, Camille, Vieilledent, Ghislain, Clark, Adam, Clark, James S., Courbaud, Benoit, Fortunel, Claire, Kunstler, Georges, Pélissier, Raphaël, Rüger, Nadja, Maréchaux, Isabelle

“…To test the impact of this strong assumption on the outcome of community dynamics models, we designed a simulation experiment where we varied the level of knowledge of the environment in virtual communities, resulting in different relative importance of explained vs unexplained spatial individual variation in performance. …”
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Spatial and temporal epidemiology of SARS-CoV-2 virus lineages in Teesside, UK, in 2020: effects of socio-economic deprivation, weather, and lockdown on lineage dynamics by Moss, E.D., Rushton, S.P., Baker, P., Bashton, M., Crown, M.R., dos Santos, R.N., Nelson, A., O’Brien, S.J., Richards, Z., Sanderson, R.A., Yew, W.C., Young, G.R., McCann, C.M., Smith, D.L.

“…The relationships between positive tests and covariates varied greatly between lineages, likely due to the strong heterogeneity in their spatial and temporal distributions. …”
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Impact of pathogenic mutations of the GLUT1 glucose transporter on solute carrier dynamics using ComDYN enhanced sampling [version 2; peer review: 2 approved, 1 approved with reser... by K. Anton Feenstra, Akiko Higuchi, Kei Yura, Sanne Abeln, Halima Mouhib

“…Our results clearly indicate that the pathogenic mutation in GLUT1, G91D, situated at the highly conserved RXGRR motif between helices 2 and 3, has a strong impact on transporter function, as it blocks the protein from sampling both conformational states. …”
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Siglec-E augments adipose tissue inflammation by modulating TRAF3 signaling and monocytic myeloid-derived suppressor cells during obesity by Ahmed Rakib, Mousumi Mandal, Md Abdullah Al Mamun, Sonia Kiran, Nelufar Yasmen, Lexiao Li, Daniel M. Collier, Jianxiong Jiang, Frank Park, Udai P. Singh

“…Taken together, these results suggest that a genetic deficiency of siglec-E plays a key role in inducing AT inflammation by differentially altering M-MDSCs and CD8+CXCR3+ T cell function and adipogenesis by TRAF3 and Akt signaling in AT.ConclusionOur findings strongly suggest that modulation of siglec-E pathways might have a protective effect at least in part against AT inflammation and metabolic disorders.…”
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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

“…The model showed excellent performance testing on sites that are ecologically similar to other sites (the Mid Atlantic, New England, and the Rocky Mountains), but poorer performance at sites with fewer ecological similarities to other sites in the data (Pacific Northwest, Florida, and Puerto Rico). The results show strong potential for machine learning-based models to make more skillful predictions than state-of-the-art process-based models, being able to estimate the multi-year mean carbon balance to within an error ±50 gCm⁻²y⁻¹ for 29 of our 44 test sites. …”
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