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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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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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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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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Distribution of Aeromonas bacterial population in water, sediment and Nile tilapia in fish culture pond, Guder, Ethiopia by Bekele Lema, Natarajan Pavanasam, Kassaye Balkew, Zufan Bedewi

“… Assessing heterotrophic bacterial population in water, sediment, and fish tissue assumes importance in predicting the quality of the fish and water quality in the culture system. …”
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

“…Both conventional radiological features (Hounsfield units, HUs) and radiomic features extracted from areas predicted by the deep learning models were used to develop an algorithm for classifying renal tumor subtypes via a random forest classifier. …”
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AN EXPERIMENTAL STUDY OF THE EFFECT OF RARE POLYMORPHISMS OF HUMAN HBB, HBD AND F9 PROMOTER TATA BOXES ON THE KINETICS OF INTERACTION WITH THE TATA-BINDING PROTEIN by E. B. Sharypova, I. A. Drachkova, E. V. Kashina, D. A. Rasskazov, P. M. Ponomarenko, M. P. Ponomarenko, N. А. Kolchanov, L. K. Savinkova

“…A comparison of experimental values of affinity (KD) of the TBP/T complexes of “normal” and minor alleles with the predicted has shown that data correlate well with each other. …”
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Dietary and plasma atherogenic and thrombogenic indices and cardiometabolic risk factors among overweight and individuals with obesity by Reyhaneh Mokhtari, Mahdieh Abbasalizad Farhangi

“…Apart from dyslipidemia, the Atherogenic Index of Plasma (AIP), which is associated with dietary consumption, is another marker for predicting the risk of CVD. Healthy fat quality indicators may impact AIP. …”
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Role of Long Non-Coding RNA GUSBP11 in Chronic Periodontitis Through Regulation of miR-185-5p: A Retrospective Cohort Study by Zhang X, Shen X

“…The target genes of miR-185-5p were predicted using an online database, and the intersection target genes were obtained by constructing Venn diagram. …”
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Retrospective Observational Study on the Characteristics of Pain and Associated Factors of Breakthrough Pain in Advanced Cancer Patients by Rongrong Fan, Xuying Li, Siyu Yang, Xiaofan Bu, Yongyi Chen, Ying Wang, Cuiling Qiu

“…Factors significant in univariate analysis were included in the multiple regression model to explore independent predictive factors associated with the BTP. Results. …”
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1990–2041 Global burden of Burkitt lymphoma with 20 years forecast: A systematic analysis using the global burden disease of study of 2021 by Chengyun Dou, Yidan Sang, Hongbo Zhu, Chuangjie Cao

“…The Bayesian age-period-cohort model predicts a significant increase in the age-standardized incidence rates of Burkitt lymphoma over the next 20 years. …”
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Knowledge, attitudes and practices of healthcare professionals in the management of patients with hypertension and concurrent bronchial asthma: a cross-sectional study in the Yello... by Yang Yang, Wenwen Xu, Fei Yu, Xiaohong Yan, Xingbin Ma, Jinxiang Gao

“…Multivariate logistic regression analysis showed having a Bachelor’s degree or higher education (OR=0.614; 95% CI (0.421, 0.896); p=0.011), and a knowledge score ≥8 (OR=2.130; 95% CI (1.527, 2.973); p<0.001) significantly predicted adherence to recommended practices. Structural equation modelling revealed significant direct effects between knowledge and attitude (β=0.578, p=0.010) and between knowledge and practice (β=0.221, p=0.010). …”
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Kinetics of Organic Biodegradation and Biogas Production in the Pilot-Scale Moving Bed Biofilm Reactor (MBBR) for Piggery Wastewater Treatment by Thi Ha Nguyen, Manh Khai Nguyen, Thi Hoang Oanh Le, Thanh Tu Bui, Trong Hieu Nguyen, Truong Quan Nguyen, Anh van Ngo

“…Therefore, these kinetics and models can be further considered to be used for predicting the kinetic characteristics of the MBBR system in piggery wastewater treatment process. …”
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Environmental risk factors for self-harm during imprisonment: A pilot prospective cohort study. by Thomas Stephenson, Imogen Harris, Charlotte Armstrong, Seena Fazel, Roxanna Short, Nigel Blackwood

“…The finding regarding frequent cellmate changes predicting self-harm is novel. Findings regarding prisoner-staff ratio and self-harm most likely reflect a reverse causal relationship. …”
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The miRNA‐mRNA Regulatory Network in Human Hepatocellular Carcinoma by Transcriptomic Analysis From GEO by Razieh Heidari, Vahideh Assadollahi, Seyedeh Negar Marashi, Fatemeh Elahian, Seyed Abbas Mirzaei

“…The multimir package was employed to predict target genes for DEmiRs then DEmiRs‐hub gene network created. …”
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Exploring the gender difference in type 2 diabetes incidence in a Swiss cohort using latent class analysis: an intersectional approach by Julien Vaucher, Michael Amiguet, Carole Clair, Joelle Schwarz, Jeanne Marie Barbier, Aurélie M Lasserre

“…The aim of this study was to highlight the intersectional social position of the participants and disentangle its role from administrative sex in predicting the development of type 2 diabetes.Methods Using CoLaus|PsyCoLaus study, a Swiss single-centre prospective cohort initiated in 2003 and including 6733 participants (age 35–75 years; 54% women) at baseline, we conducted latent class analyses using gender-related variables (eg, risk-taking behaviours, gender roles represented by employment status, etc) and socioeconomic determinants at baseline (2003–2006) to construct intersectional classes and we tested their association with the development of type 2 diabetes at follow-up (2018–2021).Results Of the 6733 participants enrolled at baseline, 3409 were included in our analyses (50.6%). …”
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