Mass gatherings in Italy: a study from the 2015 Milan Expo by Pietro Marino, Enzo Albergoni, Aida Andreassi, Gianluca Chiodini, Lucia Colombi, Cristina Corbetta, Gabriella Nucera, Marco Salmoiraghi, Alberto Zoli

“…Existing risk-assessment processes for MGs were used (the Arbon Predictive Score and Maurer Score) to define the expected resources and the impact on the health systems. …”
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Evaluation of Knowledge and Practice of Pharmacy Professionals regarding the Risk of Medication Use during Pregnancy in Dessie Town, Northeast Ethiopia: A Cross-Sectional Study by Abdu Tuha, Yilak Gurbie, Haftom Gebregergs Hailu

“…The developing organism is unique in its responsiveness to drugs and predictability of therapeutic effectiveness based on the adult which can lead to grave consequences in the neonate and child. …”
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Trauma Volume and Performance of a regional Trauma Center in Korea: Initial 5-year analysis by Byungchul Yu, Giljae Lee, Min A Lee, Kangkook Choi, Sungyoul Hyun, Yangbin Jeon, Yong-Cheol Yoon, Jungnam Lee

“…More than 250 variables were analyzed. We calculated the predicted survival rates using the trauma and injury severity score (TRISS) method. …”
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Five-year trajectories of symptom severity, physical and mental functioning in patients with persistent somatic symptoms: the PROSPECTS cohort study by Henriëtte E van der Horst, Johannes C van der Wouden, Hieke Barends, Nikki Claassen, Joost Dekker, Trynke Hoekstra

“…Patient characteristics differed for the identified trajectories and may guide early recognition, although predictive studies are warranted.…”
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Best organic farming expansion scenarios for pest control: a modeling approach by Delattre, Thomas, Memah, Mohamed-Mahmoud, Franck, Pierre, Valsesia, Pierre, Lavigne, Claire

“…The effect of OF expansion on pest densities in organic and conventional crops remains difficult to predict because OF expansion impacts Conservation Biological Control (CBC), which depends on the surrounding landscape (i.e. both the crop mosaic and semi-natural habitats). …”
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Exploring the antimicrobial and antioxidative potential of Leucas aspera (Willd.) link: Phytochemical screening, molecular docking, and HR-LC/MS profiling against SARS-CoV-2 protei... by Thavasiaanatham Seenivasan Shalini, Ragothaman Prathiviraj, Poomalai Senthilraja

“…To evaluate the ADMET properties and predict the drug-likeness of these 80 phytochemicals, an in silico analysis was performed. …”
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Regional Medical Campuses in Canada by Aaron Johnston, Amanda Bell, Kristy Penner, Trushar Patel, Grace Perez

“…Proposed RMCs may be able to use this data to predict both challenges and opportunities, as well as to identify existing RMCs with similar profiles, where information exchange may be of highest value. …”
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Three-Year Outcomes of Patients with Neovascular Age-Related Macular Degeneration Treated with Aflibercept under the National Health Insurance Program in Taiwan by Kang-Jung Lo, Jin-Yu Chang, Hsin-Yi Chang, Shih-Hwa Chiou, De-Kuang Hwang, Shih-Jen Chen

“…The lost-to-follow-up rate, number of injections, and predictive factors for visual outcomes were analyzed. …”
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Determination of Modelling Error Statistics for Cold-Formed Steel Columns by R. P. Rokade, K. Balaji Rao, B. Palani

“…Studies on statistical analysis of ME suggest that the compression capacity predicting models for flexural-torsional buckling mode are associated with large variation irrespective of the design standard. …”
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Association of the Preoperative Controlling Nutritional Status (CONUT) Score with Clinicopathological Characteristics in Patients with Papillary Thyroid Carcinoma by Doohwa Kim, Myungsoo Im, Soree Ryang, Mijin Kim, Yun Kyung Jeon, Sang Soo Kim, Bo Hyun Kim

“…The CONUT score, which can be easily used in clinical practice, is thought to be helpful in predicting the aggressiveness of PTC.…”
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Clinicopathological characteristics and outcomes of PLA2R related idiopathic membranous nephropathy in patients with seronegative PLA2R antibodies by Xue Li, Yang Shen, Yanchun Li, Lijie Ma, Qianmei Sun

“…Cox regression analyses showed that compared to SAb+/GAg + patients, SAb−/GAg + was more predictive of complete remission (4.28 [95%CI: 1.01–18.17], p = .04).Conclusion IMN with PLA2R staining on kidney biopsy but without serum PLA2R antibody has milder clinical manifestations and a better prognosis.…”
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Artificial Neural Network and Response Surface Methodology-Driven Optimization of Cu–Al₂O₃/Water Hybrid Nanofluid Flow in a Wavy Enclosure with Inclined Perio... by Tarikul Islam, Sílvio Gama, Marco Martins Afonso

“…Moreover, the statistical RSM analysis indicates a high <i>R</i>² value of 98.88% for the response function, which suggests that the model is well suited for predicting <i>Nu</i>_av. Furthermore, the ANN model demonstrates high accuracy with a mean squared error (MSE) of 0.00018, making it a strong alternative to RSM analysis. …”
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Establishment of Microwave Drying Dynamic Model for Foshou Leaves Powder and Analysis of Quality Characteristics by Hui SUN, Bo ZHANG, Jianghong ZHOU, Zhenyi XU, Zhixing MAO, Yuxiang WANG, Jie PANG

“…The Page and Wang-Singh models were particularly effective, with the Wang-Singh model providing superior predictive accuracy. The most accurate fitting function determined was MR=(0.0011+0.0058X1+0.0037X2)t2−(0.086+0.1544X1+0.086X2)t+1. …”
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Detection method of mixed coin transaction based on CoinJoin——take the Wasabi platform as an example by Hu LI, Yunfang CHEN, Wei ZHANG

“…Designed to enhance the privacy of user transactions, mixed coin technology has created disruptions to the address clustering rules typically used for cryptocurrency regulation.Consequently, hackers have begun utilizing mixed coin technology as a tool for money laundering and fund evasion, which has raised concerns among financial regulators regarding the detection of mixed coin transactions.Currently, most detection methods for mixed coin transactions rely on data analysis and statistics, lacking a comprehensive understanding of the internal workings of these transactions.This lack of knowledge may undermine the credibility and effectiveness of detection methods due to the absence of reliable verification data.CoinJoin, a decentralized mixed coin concept, represents one approach, and commercial implementations like Wasabi have gained popularity.Drawing from the characteristics of CoinJoin and its restriction on the size of anonymous transaction sets and mixed coin amounts, a general detection method for CoinJoin mixed coin transactions was devised.Such transactions typically involved multiple inputs and outputs, with more output items than UTXOs in the input, and a high occurrence of duplicate values among the output amounts.A basic detection method for Wasabi was developed by combining the generic detection method for CoinJoin with specific features of Wasabi, as identified in related studies, to complete the detection process.A trusted validation dataset was acquired from the Wasabi platform service interface, and this dataset was analyzed to achieve two objectives.First, the alignment of rule parameters in the Wasabi base detection method was accomplished.Second, a new metric was proposed, measuring the ratio of the highest frequency of duplicate values in the output amount of transactions to the number of UTXOs in the input.This metric assessed the level of user participation in mixed coin transactions, providing a measure of user freedom.Using these two approaches, significant progress is made in the detection of mixed coin transactions.The experiments show that the recall rate of Wasabi’s basic detection method is 94.2% and the accuracy rate is 67.2%.After the analytical feedback from the credible validation dataset, the recall rate of the improved detection method reaches 100% and the accuracy rate is above 99%.The total market size of the entire CoinJoin type of mixed coin transactions was evaluated and predicted based on a common test methodology.It is concluded that the number of CoinJoin mixed coin transactions in today’s mixed coin market represents 1.9 per 1 000 of all Bitcoin transactions and 3.7 per 1 000 of the transaction value at most.…”
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Mathematical Model for Assessing New, Non-Fossil Fuel Technological Products (Li-Ion Batteries and Electric Vehicle) by Igor E. Anufriev, Bulat Khusainov, Andrea Tick, Tessaleno Devezas, Askar Sarygulov, Sholpan Kaimoldina

“…This paper proposes a mathematical model to predict the global EV fleet based on the limited availability of critical materials such as lithium, one of the key elements for battery production. …”
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The Effect of Volitional Preemptive Abdominal Contraction on Biomechanical Measures During A Front Versus Back Loaded Barbell Squat by Joseph B. McCormick, Alexander S. Drusch, Darragh J. Lynch, Gesine H. Seeber, Katherine F. Wilford, Troy L. Hooper, Brad S. Allen, Dennis G. O’Connell, Maria J. Mena-Iturriaga, Kinyata J. Cooper, Phillip S. Sizer

“…A squat one-rep-max (1RM) was predicted by researchers using a three to five repetition maximum (3RM, 5RM) load protocol. …”
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A large elevation in 15N/14N of collagenous amino acids: an insight from starvation experiments of marine organisms by Hyuntae Choi, Yuko Takizawa, Nayeon Park, Yoshito Chikaraishi

“…Based on these results, we predict that the difference in the δ15NAA value between collagen and muscle fibers can be useful for evaluating the nutritional stress of fishes. …”
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Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach by Alessia Vignoli, Giovanni Bellomo, Federico Paolini Paoletti, Claudio Luchinat, Leonardo Tenori, Lucilla Parnetti

“…The great variability in disease evolution and the incomplete understanding of the molecular mechanisms underlying AD make it difficult to predict when a patient will convert from prodromal stage to dementia. …”
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Healthcare utilization and costs for patients with Parkinson’s disease in Taiwan by Kuan-Chen Chen, Li-Jung Elizabeth Ku, Ya-Hui Hu, Yu Sun, Alexis Elbaz, Pei-Chen Lee

“…Differences in annual healthcare utilization and costs between PD and non-PD subjects from 2003 to 2018 were predicted by generalized linear models. We performed analyses stratified by PD severity and also by age, gender, and duration of follow-up. …”
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Gemelos digitales pulmonares by Ana Fernández-Tena, Carlos Arnedo, Guillaume Houzeaux, Beatriz Eguzkitza

“…One of the key applications of lung DTs is the ability to simulate patient-specific response to treatments and predict outcomes, allowing for personalized therapies. …”
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