Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…Land cover changes included an 18.5% reduction in surface water and a 3714.6 km² expansion of bare ground in 2023, correlating with standardized precipitation index-based drought severity (29.8% –47.3% affected area). …”
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Digitising the on-call medical team's patient list system: a QIP by Fahad-Bin Zahid

“…Materials and methods: Baseline issues with paper-based system (survey results): • 66.7% of registrars dissatisfied or very dissatisfied with the paper system; • 80% reported issues such as lost lists or incomplete information; • 41% of registrars reported incidents of losing paper lists; • 86.7% of respondents reported finding the handover process time-consuming or error-prone; • Average time spent rewriting patient details during handovers: 10–30 min. • Key metrics monitored: • Reduction in handover times; • System usability (user interaction with features, such as priority setting, location etc); • Feedback on efficiency and user satisfaction; • Environmental impact: complete elimination of paper lists.Framework used: plan–do–study–act (PDSA)System development: • A live Excel-based patient list hosted on SharePoint and accessible MS Teams channel; • Features: priority setting, timestamping, real-time logging, clerking status updates, specialty columns, and live accessibility for all members within the designated MS teams channel.Stakeholder engagement: • Regular feedback sessions with registrars and consultants; • Collaboration with the digital innovation team.Sustainability principles: • Eliminated paper waste, thus reducing the environmental impact and securely archiving older lists within a Trust-approved system for auditability and governance; • Used existing infrastructure for minimal financial investment. …”
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Modeling pine forest growing stock volume in subtropical regions of China using airborne Lidar data by Zige Lan, Xiandie Jiang, Guiying Li, Yagang Lu, Hongwen Yao, Dengsheng Lu

“…When combining PPF and MXF together to develop GSV models, HBA(Site/Type) with double stratification factors (i.e. typical site and forest type) showed similar performance, with only a minor reduction in RMSE by 0.45 m3/ha for PPF and 0.15 m3/ha for MXF. …”
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Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing by Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu

“…Third, pioneering cross-domain knowledge transfer through application-specific architectures: TFE-PINN for turbulent flows (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5.12</mn><mo>±</mo><mn>0.87</mn><mo>%</mo></mrow></semantics></math></inline-formula> error in NASA hypersonic tests), ReconPINN for medical imaging (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>▵</mo><mi>SSIM</mi><mo>=</mo><mo>+</mo><mn>0.18</mn><mo>±</mo><mn>0.04</mn></mrow></semantics></math></inline-formula> on multi-institutional MRI), and SeisPINN for seismic systems (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.52</mn><mo>±</mo><mn>0.18</mn></mrow></semantics></math></inline-formula> km localization accuracy). …”
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Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

“…The training process, conducted over 10 epochs, demonstrated consistent loss reduction, with the lowest recorded loss at epoch 8 (2.4382), reflecting effective learning and parameter tuning. …”
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Assessment of predictors and mitigation strategy for therapeutic inertia in the management of hypertension: a quality improvement project by Ananyan Sampath, Shreya Deshpande, Rashmi Verma, Rajnish Joshi

“…When patient adherence was disregarded, TI increased to 49.7%. The total error rate in BP management ranged from 53.29% to 61.5%. …”
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Lethal neonatal acidosis: Multiomic investigation of a novel HIBCH variant as the underlying cause by Sonali Patel, Muhammad Zain-ul-abideen, Genevieve Guyol, Lance H. Rodan, Casie A. Genetti, Amy Z. Ren, Philip Connors, Patricia Davenport, Ruby Bartolome, Inderneel Sahai, Vijay S. Ganesh, Monica H. Wojcik

“…HIBCH (3-Hydroxyisobutyryl-CoA hydrolase) deficiency is a rare, autosomal recessive inborn error of metabolism caused by pathogenic variants in HIBCH and typically presenting in the first year of life with hypotonia, seizures, global developmental delay, poor feeding, and ataxia. …”
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A phase I/II trial evaluating the safety of increased-dose S- 1 with oxaliplatin and nivolumab in HER2-negative advanced gastric cancer by Keisuke Baba, Nobumi Suzuki, Chiyo K. Imamura, Eisuke Booka, Masashi Takeuchi, Daisuke Takahari, Takeshi Kawakami, Hirofumi Kawakubo, Chiyoe Kitagawa, Yoshiyasu Kono, Keiji Ogura, Yosuke Kito, Kei Saito, Shinzo Yamamoto, Hiroya Takeuchi, Toshihiro Kudo, Takuya Tsunoda, Takuro Mizukami, Toshifumi Yamaguchi, Hirokazu Shoji, Kanako Saito, Kenro Tanoue, Eishi Baba, Kengo Nagashima, Narikazu Boku

“…The primary endpoint is the incidence of dose-limiting toxicity in six patients in the phase I part and the proportion of patients requiring S-1 dose reduction in a total of 20 patients, expecting 30% and rejecting 50% with an alpha error of 0.1 and beta error of 0.2. …”
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Root-Zone Salinity in Irrigated Arid Farmland: Revealing Driving Mechanisms of Dynamic Changes in China’s Manas River Basin over 20 Years by Guang Yang, Xuejin Qiao, Qiang Zuo, Jianchu Shi, Xun Wu, Alon Ben-Gal

“…The approach demonstrated high predictive accuracy (<i>R</i>² = 0.96 ± 0.01, root mean squared error <i>RMSE</i> = 0.19 ± 0.03 g kg⁻¹, maximum absolute error <i>MAE</i> = 0.14 ± 0.02 g kg⁻¹) in evaluating <i>SSC</i> drivers. …”
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Impact of microbiological molecular methodologies on adaptive sampling using nanopore sequencing in metagenomic studies by Josephine Herbert, Stanley Thompson, Angela H. Beckett, Samuel C. Robson

“…We next compared the quality and accuracy of metagenomic analyses for two nanopore-based ligation chemistry kits with differing levels of base-calling error; the older and more error-prone (~ 97% accuracy) LSK109 chemistry, and newer more accurate (~ 99% accuracy) LSK112 Q20 + chemistry. …”
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First performance evaluation of easyPET.3D, a high-resolution and cost-effective benchtop preclinical PET scanner by Fabiana M. Ribeiro, Pedro M. C. C. Encarnação, Ana L. M. Silva, Pedro M. M. Correia, Afonso X. Pinto, Regina G. Oliveira, José Sereno, Mariana Lapo Pais, Antero Abrunhosa, Ismael F. Castro, Ana C. Santos, João F. C. A. Veloso

“…Conclusion EasyPET.3D geometry favours the reduction of parallax error, despite its low sensitivity. …”
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Investigating the performance of high-resolution subseasonal precipitation forecasts in support of food insecurity early warning by William Turner, Shraddhanand Shukla, Greg Husak, Chris Funk, Charles Jones, Kathy Baylis

“…Our results show that SubC forecasts provide a 35%–55% reduction in EOS WRSI root mean squared error in 60% of the east African agropastoral areas during the short rains , with the highest accuracy being in areas that are most vulnerable to inconsistent PPT timing and quantities. …”
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Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation by Yongjie Ma, Qingzhi Zhao, Duoduo Jiang, Wanqiang Yao, Yibin Yao, Jinfang Yin, Hongwu Guo, Yuan Zhai, Ying Xu, Ruikun Wang, Qingfang Chen, Jingyu Zhang

“…The average improvement rate of the root-mean-square error (RMSE) in the water vapor profile ranges from 10.6% to 48.7%, while that in the integrated water vapor is 19.0&#x2013;42.9% . …”
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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

“…However, the process of translating paper-based guidelines into electronic algorithmic formats is often complex, inefficient, expensive, and error-prone due to reliance on advanced software development skills and clinical knowledge. …”
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Assessing the impact of multi-source environmental variables on soil organic carbon in different land use types of China using an interpretable high-precision machine learning meth... by Feng Wang, Ruilin Liang, Shuyue Li, Meiyan Xiang, Weihao Yang, Miao Lu, Yingqiang Song

“…To explore the impact of environmental factors on soil organic carbon (SOC) with machine learning (ML) model is of great significance for mitigating climate change and soil carbon sequestration and emission reduction. However, the traditional ML model is limited by the hyperparameter adjustment of artificially trial-and-error experimentation and the inexplicability of fitting process, and the precision and performance of ML model cannot be fully utilized. …”
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Lateral Bearing Characteristics of Bucket Foundation Breakwaters in Soft Soil of Port Areas by WANG Shuai, ZHANG Jia-lin, HU Shao-wei, YOU Jian-hua, YANG Yu-ming

“…When the displacement reached 150.3 mm, the maximum displacement of the soil on the rear side was 54.2 mm. (3) The ultimate bearing capacity obtained from the model test was 14.26 kN, while the finite element analysis calculated 15.07 kN, with a relative error of 5.68%. The deformation process of bucket foundation breakwaters could be divided into three stages: quasi-elastic stage, plastic stage, and failure stage. …”
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Myopia control efficacy of spectacle lenses with highly aspherical lenslets: results of a 5-year follow-up study by Xue Li, Yingying Huang, Chenyao Liu, Xindan Chang, Zaifeng Cui, Qiulin Yang, Björn Drobe, Mark A. Bullimore, Hao Chen, Jinhua Bao

“…Five-year myopia progression [mean ± standard error (SE)] in the HAL group was − 1.27 ± 0.14 D. …”
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Associations of maternal quitting, reducing, and continuing smoking during pregnancy with longitudinal fetal growth: Findings from Mendelian randomization and parental negative con... by Judith S Brand, Romy Gaillard, Jane West, Rosemary R C McEachan, John Wright, Ellis Voerman, Janine F Felix, Kate Tilling, Deborah A Lawlor

“…Study limitations include measurement error due to maternal self-report of smoking and the modest sample size for MR analyses resulting in unconfounded estimates being less precise. …”
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Analysis of factors influencing clinical pregnancy rates in frozen-thawed embryo transfer cycles by Junqiang Wang, Zexing Yang, Ying Chen, Ying Chen, Fengchen Gao, Wenxiu Zhao, Shuxuan Cao, Yixi Li, Limei He, Limei He

“…A random forest algorithm was applied to rank the importance of variables, followed by dimensionality reduction using a sliding window sequential forward selection (SWSFS) method. …”
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Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments by Yu-Fei Liang, Yu Zhang, Hai-Long Guo, Chang-Sheng Chen, Wei-Zeng Shao, Yi Zhou, De-Shuai Wang

“…Under both scenarios, the MMMBPG predicts a more notable reduction of sea ice in the NWP compared to the multi-model ensemble of all 14 models. …”
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