Optimized formulas of the gravitational field of a vertical cylindrical prism by Xiao-Le Deng, Nico Sneeuw, Dimitrios Tsoulis

“…Using the second-order 3D Taylor series expansion method provides sufficient computation precision, i.e. all relative errors of the GP, GV, and GGT are smaller than 10−2 in the numerical experiments. …”
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Comparison of treatment planning for stereotactic radiosurgery and stereotactic body radiation therapy techniques with 2.5mm and 5mm multileaf collimator (MLC): A pilot study [vers... by Senthil Manikandan, Krishna Sharan, Shirley Lewis, Suresh Sukumar, Umesh V, Srinidhi G Chandraguthi, Shreekripa Rao, Rechal Nisha Dsouza, Sneha Ravichandran

“…Hence, we aimed to compare the treatment planning performed with the 2.5mm mMLC and 5mm MLC known as Agility for brain and lung targets treated with SRS and SBRT in Elekta Versa high definition (HD). Methods The study included 10 patients, five each with brain and lung targets. …”
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Benefits of Multi-Terminal HVdc Under Extreme Conditions via Production Cost Modeling Analyses by Quan Nguyen, Hongyan Li, Pavel Etingov, Marcelo Elizondo, Jinxiang Zhu, Xinda Ke

“…System operators rely on system flexibility to handle unexpected reliability and resilience events, ranging from excessive resource forecast errors to extreme events like heatwaves, earthquakes, and cyberattacks. …”
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Effects of Lacticaseibacillus paracasei K56 on perceived stress among pregraduate students: a double-blind, randomized, placebo-controlled trial by Yiran Guan, Ruixin Zhu, Wen Zhao, Langrun Wang, Li You, Zhaozhong Zeng, Qiuyue Jiang, Zeyang Zhu, Jiayu Gou, Qi Zhang, Jie Guo, Keji Li, Liang Zhao, Yixuan Li, Pengjie Wang, Bing Fang, Weilian Hung, Jian He, Liwei Zhang, Ran Wang, Jingjing He

“…Pre- and post-treatment serum biomarkers, gut microbiota composition and metabolites were also detected.ResultsThere was no difference in changes of PSS-10 scores from baseline to 2 weeks between the K56 groups and the placebo [mean (standard error): −1.68 (0.48) vs. -0.39 (0.46), p = 0.055]. …”
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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

“…In each case, the active learning framework improves the geometric accuracy, with drastic reductions of the errors to within the measurement accuracy in just four iterations of the Bayesian optimization using only a few hundred of total training data. …”
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Sex-Specific Association of Ambient Temperature With Urine Biomarkers in Southwest Coastal Bangladesh by Hoimonty Mazumder, Momenul Haque Mondol, Mahbubur Rahman, Rizwana Khan, Solaiman Doza, Leanne Unicomb, Farjana Jahan, Ayesha Mukhopadhyay, Konstantinos C. Makris, Alberto Caban-Martinez, Romaina Iqbal, Faruk Ahmed, Lota Creencia, Mohammad Shamsudduha, Fawaz Mzayek, Chunrong Jia, Hongmei Zhang, Anwar Musah, Lora E. Fleming, Xichen Mou, Csaba P. Kovesdy, Matthew O. Gribble, Abu Mohd Naser

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Eradication of Helicobacter pylori for prevention of aspirin-associated peptic ulcer bleeding in adults over 65 years: the HEAT RCT by CJ Hawkey, Anthony J Avery, Carol AC Coupland, Colin J Crooks, Jennifer S Dumbleton, FD Richard Hobbs, Denise Kendrick, Michael Moore, Clive Morris, Gregory Rubin, Murray Smith, Diane Stevenson

“…Omitting mention of death due to peptic ulcer bleeding from the protocol was an error, but it did not affect the analysis, as there were no pre-hospitalisation deaths. …”
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Rapid detection of volatile fatty acids in biogas slurry using near-infrared spectroscopy combined with optimized wavelength selection and partial least squares regression by Honglin Wang, Jinming Liu, Pengfei Li, Chong Tan

“…Model validation yielded determination coefficients of 0.9882, 0.9452, and 0.9483, and root mean square errors of prediction of 0.1193, 0.1178, and 0.5492 for acetic acid, propionic acid, and total acid, respectively, representing reductions of approximately 40 %, 18 %, and 30 % compared to full-spectrum modeling. …”
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Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…Furthermore, ICS-SNN significantly outperforms mainstream models such as Long Short-Term Memory (LSTM) and Backpropagation (BP) networks, reducing prediction errors by 10.8% (MAE) and 34.9% (MSE), respectively, without compromising computational efficiency. …”
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CREATING THE KULTUK POLYGON FOR EARTHQUAKE PREDICTION: VARIATIONS OF (234U/238U) AND 87SR/86SR IN GROUNDWATER FROM ACTIVE FAULTS AT THE WESTERN SHORE OF LAKE BAIKAL by S. V. Rasskazov, E. P. Chebykin, A. M. Ilyasova, E. N. Vodneva, I. S. Chuvashova, S. A. Bornyakov, A. K. Seminsky, S. V. Snopkov, V. V. Chechel'nitsky, N. A. Gileva

“…In 1970s and 1980s, only quite laborious methods were available for measuring uranium isotopic ratios. …”
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Unveiling the performance and influential factors of GEDI L2A for building height retrieval by Peimin Chen, Huabing Huang, Peng Qin, Zhenbang Wu, Zixuan Wang, Chong Liu, Na Dong, Jie Wang

“…To ensure data reliability, we refined the GEDI dataset by excluding footprints outside buildings, filtering out low-quality footprints, removing footprints failing to detect ground elevation using the interquartile range (IQR) detection method, and excluding footprints with geolocation errors through an eight-direction offset approach. …”
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Dynamic Tensile Properties of Ultra–High–Performance Concrete Under Impact Splitting Tensile Load Based on Digital Image Correlation Technology by Xudong CHEN, Xuyang WANG, Tao JI, Jixuan LIU, Yingjie NING

“…Unlike ordinary concrete, which exhibits splitting failure after the stress reaches its peak, the rate of stress reduction in UHPC gradually slows down, and a platform segment appears. …”
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Enhancing preanalytic surgical specimen management: experience of a system implementation initiative by Peirong Chen, Weiming Qiu

“…Results The system reduced errors from 24.82 to 2.40%, including reductions of 86.85% in requisition mistakes, 95.30% in label errors, and 100% in illegible handwriting. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…Moreover, the model exhibits robust generalization, with average absolute errors below 1 mm and relative errors under 1% across various construction methods and tunnel segments. …”
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The relationship between shift work, circadian rhythms, and cognitive function in ICU nursing by Saeideh Moosavi, Mehran Ghalenoei, Mohammad Amerzadeh, Ali Safari Variani

“…The rhythm stability and amplitude could serve as predictive indicators for staffing shift work systems to prevent errors and enhance the system’s efficiency.…”
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Secular trends in types of cardiovascular disease in the West of Scotland by Naveed Sattar, Colin Berry, Daniel F Mackay, Christian Delles, Ruth Dundas, Frederick K Ho, Sandosh Padmanabhan, Claudia Geue, Michael Fleming, Denise Brown, Clea du Toit, Jill Pell, Claire E Hastie, Anna Kamdar, Jocelyn M Friday, Tran Q B Tran, Alan Stevenson, Jim D Lewsey

“…Objective Historical reductions in cardiovascular disease (CVD) due to lifestyle and treatment improvements are now threatened by factors such as increasing obesity and diabetes, but the relative importance of different risk factors varies by CVD condition. …”
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Pharmacist support in the entry of blood drug concentration test order avoids vancomycin-induced kidney injury by Naoki Yoshikawa, Chiaki Miyata, Hidehiko Koreeda, Shuichi Nakahara, Yuki Matsusaki, Yusei Yamada, Takehiko Nagano, Hidenobu Ochiai, Ryuji Ikeda

“…Similar significant reductions were observed in the propensity score matched cohort (from 11.9% to 0.0%, p  = 0.013). …”
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Stacked hybrid model for load forecasting: integrating transformers, ANN, and fuzzy logic by Elakkiya E, Antony Raj S, Arunkumar Balakrishnan, Bhavyasri Sanisetty, Revanth Balaji Bandaru

“…Extensive tests on actual energy datasets show that the suggested hybrid model outperforms both conventional and stand-alone methods. With RMSE and MAE reductions of up to 15–20%, the model outperforms baseline models such as Random Forests, Decision Trees, and Linear Regression. …”
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The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis. by Nicholas Riches, Maria Panagioti, Rahul Alam, Sudeh Cheraghi-Sohi, Stephen Campbell, Aneez Esmail, Peter Bower

“…<h4>Background</h4>Diagnostic errors are costly and they can contribute to adverse patient outcomes, including avoidable deaths. …”
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Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study. by Sooky Lum, Vassiliki Bountziouka, Philip Quanjer, Samatha Sonnappa, Angela Wade, Caroline Beardsmore, Sunil K Chhabra, Rajesh K Chudasama, Derek G Cook, Seeromanie Harding, Claudia E Kuehni, K V V Prasad, Peter H Whincup, Simon Lee, Janet Stocks

“…<h4>Methods</h4>Spirometry datasets from South-Asian children were collated from four centres in India and five within the UK. …”
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