Water-Depth-Based Prediction Formula for the Blasting Vibration Velocity of Lighthouse Caused by Underwater Drilling Blasting by Wenbin Gu, Zhenxiong Wang, Jianqing Liu, Jinglin Xu, Xin Liu, Tao Cao

“…The correction formula that considers water depth can obviously reduce prediction errors and accurately predict blasting vibration.…”
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Approaches to the implementation of a blockchain technology in foreign economic activity and ogistics by A. V. Vlasov, E. V. Komarova

“…The article discusses some aspects of the use of blockchain in foreign economic activity and logistics. The analysis of existing practices, typical errors and the possibility of their exclusion is made.…”
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Simultaneous multi-class detection of interplanetary space weather events by Nguyen Gautier, Bernoux Guillerme, Ferlin Antoine

“…Our model performs slightly better at detecting events than other existing deep-learning based methods while achieving comparable results when estimating the events beginning and ending times. A detailed analysis of our method output shows that the great majority of detection errors are short events with a weak in-situ signature, which are expected to be among the least geoeffective event or misclassified events. …”
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Engaging Community Pharmacies in Promoting Outpatient Medication Safety – Identifying and Prioritizing Research Needs by Modified Nominal Group Technique by Mäkinen E, Taimi AK, Sandler C, Schoultz AM, Holmström AR

“…The collected data were analyzed using qualitative inductive thematic analysis and quantitative descriptive analysis by the van Breda technique.Results: The final data comprised 83 research needs organized under five main themes with 22 subthemes. …”
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Dynamic modelling under uncertainty: the case of Trypanosoma brucei energy metabolism. by Fiona Achcar, Eduard J Kerkhoven, SilicoTryp Consortium, Barbara M Bakker, Michael P Barrett, Rainer Breitling

“…However, due to measurement errors or lack of data this knowledge is often uncertain. …”
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A study of relationship between dimensions of safety climate with safe behaviors in the petrochemical industry by T Rahimi Pordanjani, A Mohamadzade Ebrahimi, H Mehdizade, M Khoshniat

“…In order to analyze the data, the regression analysis and in the validation stage, the confirmatory factor analysis using AMOS-21 and the Pearson’s correlation that using SPSS-19 were applied. …”
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Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches by Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, Hermann Rapp, Christofer S. Tautermann, Pavel Balazki, Miha Skalic, Jens M. Borghardt, Lina Humbeck

“…Our study based on internal preclinical data shows that the latter three approaches yield PK profile predictions of comparable accuracy across a large data set (evaluated as geometric mean fold errors for each profile of over 1000 small molecules). …”
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Perancangan Sistem Informasi Administrasi Home Stay Palanta Roemah Kajoe Berbasis Web by Rezki Amelia

“… Palanta Roemah Kajoe Homestay in Padang City faces challenges in managing reservation administration, which is still conducted manually, leading to risks such as data entry errors, delayed services, and potential overbooking. …”
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The ICEDORA study: clinical and demographic characteristics and treatment regimens of patients with HR+ HER2- locally advanced or metastatic breast cancer receiving CDK4/6 inhibito... by I. E. Khatkov, I. I. Andreyashkina, I. D. Trotsenko, O. N. Matveeva, V. A. Reznikov

“…ICEDORA is a non-interventional retrospective study based on the analysis of data on patients receiving CDK 4/6 inhibitors in Moscow. …”
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A Large Sample Study of Fuzzy Least-Squares Estimation by Jin Hee Yoon, Seung Hoe Choi

“…This study establishes key optimal properties, such as strong consistency and asymptotic normality, for the fuzzy least-squares estimator (FLSE) in general linear regression models involving fuzzy input–output data and random errors. To achieve this, fuzzy analogues of traditional normal equations and FLSEs are derived using a suitable fuzzy metric. …”
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Development of abnormal diagnosis and factory evaluation standards for RV reducer based on vibration characteristics by Xin Wang, Chunlei Li, Suben Lin

“…Detailed on-site inspection standards have been developed based on research and analysis results for defective products such as eccentricity, gear defects, and detection errors. …”
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Online Attendance System for Village Officials: A Case Study on the Application of Android Technology by Syaiful Syaiful, Widya Astutik, Novira Fitriana, Ayu Febriana Laila Fatika Agustini

“…The attendance tracking process for village officials in Sogaan Village has traditionally been conducted manually, leading to issues such as data inaccuracies, delayed reporting, and time wastage. …”
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Verification of empirical formulas for calculating annual peak flows with specific return period in the upper Vistula basin by Dariusz Młyński, Andrzej Wałęga, Andrea Petroselli

“…The data were statistically verified for their homogeneity, significance of monotonic trends, outliers, and equality of variance. …”
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Technology for risk assessment at product lifecycle stages using fuzzy logic by A. N. Chesalin, S. Ya. Grodzenskiy, Pham Van Tu, M. Yu. Nilov, A. N. Agafonov

“…The "risk-based approach" allows to reduce the cost of correcting possible errors in the future and reduce the uncertainty when performing subsequent actions. …”
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Advancing geohazard risk assessment – A digital tool for steep slope management by Cherry Rose Godes, One-Bin Lim, Shanelle Aira Rodrigazo, Yongseong Kim, Yongjin Kim, Seungjoo Lee, Jaeheum Yeon

“…These insights informed the design of SSRAT, which features streamlined data entry, automated scoring, and real-time risk analysis. …”
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Effect of chemical segregation on accuracy of local lattice distortions determination by pair distribution functions by Yao Hu, Sheng Guo, Magnus Hörnqvist Colliander

“…The results show that the errors introduced by chemical segregation increase with increasing lattice parameter difference, and the fitting quality gradually deteriorates to a point where it no longer adequately describes the data. …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…Due to smaller sample size, for renal, the margin of error was 3.1%. Statistical analysis An intra-pathologist agreement was estimated by computing percentage LM versus DP CMC using a random-effects (RE) logistic regression model with crossed RE terms for pathologist and case. …”
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Physiotherapy in Ophthalmology – a Literature Review by Elżbieta Szczygieł, Natalia Fudacz, Tomasz Berus, Jagoda Rojek, Edward Golec

“…Various types of vision therapy and eye exercises are available.Objective: To estimate publications assessing the impact of various eye exercises on visual parameters in order to determine their effectiveness in the treatment and prevention of visual impairment.Data sources: Ebsco, PubMed and Medline were searched between April 10-15, 2021.Study selection: The study comprised a controlled trial, randomised clinical trial, case control study, nested case-control study and comparative study in which the effects were examined of eye therapy or eye exercise among adults, adolescents and children with refractive eye errors or regular eyes.Data extraction and synthesis: The analysis was based on the PRISMA recommendations (Preferred Reporting Items for Systematic Review and Meta-Analysis).Results: Nineteen publications were analysed in detail. …”
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Model description of combined numerical and stochastic groundwater flow in Bandung-Soreang Groundwater Basin, West Java, Indonesia by Achmad Darul, Dasapta Erwin Irawan, Prihadi Sumintadireja, Gumilar Ramadhan

“…Regionalized variable scenarios were applied to reduce estimation errors for certain areas, showing improved correlation. • Expected output: Results include: (1) Distribution maps of hydraulic conductivity; (2) Validation metrics and visualization comparing modeled to observed data; (3) Assessments of heterogeneous K values' impact on groundwater flow; (4) Recommendations for sustainable groundwater management practices.…”
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T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation by Xin Tong, Jingya Wang, Yasen Aizezi, Hanming Zhai, Bo Jin

“…The generated data effectively assess LLMs’ factuality accuracy, highlighting T2F’s capability as a scalable and domain-agnostic factuality evaluation framework.…”
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