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  1. 6101

    Prevalence of cardiovascular diseases and risk factor assessment in breast cancer survivors exposed to cardiotoxic therapy by Marina V. Vitsenya, Irina V. Barinova, Nana V. Pogosova, Tatevik A. Terteryan, David T. Kuchiev, Yulia V. Khrushcheva, Anna A. Gerasimova, Anastasiya Y. Filatova, Nursiyat M. Ibragimova, Olga O. Frolkova, Fail T. Ageev

    Published 2025-03-01
    “…The cardiorespiratory endurance was reduced, with median peak oxygen consumption being 71% of the predicted values. Anxiety symptoms were found in 45 (50%) patients, depressive symptoms in 16 (17.8%), high stress levels in 51 (56.7%), and sleep disorders in 80 (88.9%). …”
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  2. 6102

    Bioinformatics and immunoinformatics assisted multiepitope vaccine construct against Burkholderia anthina by Maha A. Alshiekheid, Ali M. Dou, Mohammad Algahtani, Wafa Abdullah I. Al-Megrin, Yaseer Ali Alhawday, Arwa Essa Alradhi, Khulud Bukhari, Basmah F. Alharbi, Ahmed N. Algefary, Basmah Awwadh Alhunayhani, Khaled S. Allemailem

    Published 2024-01-01
    “…VaxiJen v2.0 web server predicted that the vaccine construct is probable antigenic in nature with 0.6320 predicted value. Furthermore AllerTOP v. 2.0 tool predicted that the designed vaccine construct is non allergic in nature. …”
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  3. 6103

    Carvedilol to prevent decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by liver stiffness: study protocol for a randomied, double-... by Jie Li, Yan Wang, Fang Wang, Tianyu Liu, Xiao Liang, Yiling Li, Xiaolong Qi, Liting Zhang, Ping Chen, Jian Fan, Ju Huang, Zhujun Cao, Xiaofeng Wu, Chuan Liu, Xiaoguo Li, Zhongji Meng, Da Zhu, Qing-Lei Zeng, Wei Gou, Jiaojian Lv, Qingge Zhang, Zhaowei Tong, Junliang Fu, Cidan Zhuoga, Dong Ji, Shuairan Zhang, Yu-Jun Wong, Xuan Liang, Shengjuan Hu, Guohong Ge, Mingxing Huang, Tao Ren, Deping Ding, Basang Zhuoga, Dianjie Dang, Liang Miao, Zhaomin Song, Xingguo Xiao, Huili Wu, Kai Jiang, Youfang Gao, Lan Ma, Tao Fang, Yuehua Wang, Qianhua Zhang, Yufang Wei, Zhongsi Hong, Yuemin Nan

    Published 2024-07-01
    “…Liver stiffness (LS)≥25 kPa can be used as a surrogate of HVPG≥10 mm Hg to rule in CSPH with 90% of the positive predicting value in majority aetiologies of patients. A compelling argument is existing for using LS≥25 kPa to diagnose CSPH and then to initiate carvedilol in patients with compensated cirrhosis, and about 5%–6% of patients under this diagnosis criteria may not be benefited from carvedilol and are at risk of lower heart rate and mean arterial pressure. …”
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  4. 6104
  5. 6105

    Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology by Elliot Gould, Hannah S. Fraser, Timothy H. Parker, Shinichi Nakagawa, Simon C. Griffith, Peter A. Vesk, Fiona Fidler, Daniel G. Hamilton, Robin N. Abbey-Lee, Jessica K. Abbott, Luis A. Aguirre, Carles Alcaraz, Irith Aloni, Drew Altschul, Kunal Arekar, Jeff W. Atkins, Joe Atkinson, Christopher M. Baker, Meghan Barrett, Kristian Bell, Suleiman Kehinde Bello, Iván Beltrán, Bernd J. Berauer, Michael Grant Bertram, Peter D. Billman, Charlie K. Blake, Shannon Blake, Louis Bliard, Andrea Bonisoli-Alquati, Timothée Bonnet, Camille Nina Marion Bordes, Aneesh P. H. Bose, Thomas Botterill-James, Melissa Anna Boyd, Sarah A. Boyle, Tom Bradfer-Lawrence, Jennifer Bradham, Jack A. Brand, Martin I. Brengdahl, Martin Bulla, Luc Bussière, Ettore Camerlenghi, Sara E. Campbell, Leonardo L. F. Campos, Anthony Caravaggi, Pedro Cardoso, Charles J. W. Carroll, Therese A. Catanach, Xuan Chen, Heung Ying Janet Chik, Emily Sarah Choy, Alec Philip Christie, Angela Chuang, Amanda J. Chunco, Bethany L. Clark, Andrea Contina, Garth A. Covernton, Murray P. Cox, Kimberly A. Cressman, Marco Crotti, Connor Davidson Crouch, Pietro B. D’Amelio, Alexandra Allison de Sousa, Timm Fabian Döbert, Ralph Dobler, Adam J. Dobson, Tim S. Doherty, Szymon Marian Drobniak, Alexandra Grace Duffy, Alison B. Duncan, Robert P. Dunn, Jamie Dunning, Trishna Dutta, Luke Eberhart-Hertel, Jared Alan Elmore, Mahmoud Medhat Elsherif, Holly M. English, David C. Ensminger, Ulrich Rainer Ernst, Stephen M. Ferguson, Esteban Fernandez-Juricic, Thalita Ferreira-Arruda, John Fieberg, Elizabeth A. Finch, Evan A. Fiorenza, David N. Fisher, Amélie Fontaine, Wolfgang Forstmeier, Yoan Fourcade, Graham S. Frank, Cathryn A. Freund, Eduardo Fuentes-Lillo, Sara L. Gandy, Dustin G. Gannon, Ana I. García-Cervigón, Alexis C. Garretson, Xuezhen Ge, William L. Geary, Charly Géron, Marc Gilles, Antje Girndt, Daniel Gliksman, Harrison B. Goldspiel, Dylan G. E. Gomes, Megan Kate Good, Sarah C. Goslee, J. Stephen Gosnell, Eliza M. Grames, Paolo Gratton, Nicholas M. Grebe, Skye M. Greenler, Maaike Griffioen, Daniel M. Griffith, Frances J. Griffith, Jake J. Grossman, Ali Güncan, Stef Haesen, James G. Hagan, Heather A. Hager, Jonathan Philo Harris, Natasha Dean Harrison, Sarah Syedia Hasnain, Justin Chase Havird, Andrew J. Heaton, María Laura Herrera-Chaustre, Tanner J. Howard, Bin-Yan Hsu, Fabiola Iannarilli, Esperanza C. Iranzo, Erik N. K. Iverson, Saheed Olaide Jimoh, Douglas H. Johnson, Martin Johnsson, Jesse Jorna, Tommaso Jucker, Martin Jung, Ineta Kačergytė, Oliver Kaltz, Alison Ke, Clint D. Kelly, Katharine Keogan, Friedrich Wolfgang Keppeler, Alexander K. Killion, Dongmin Kim, David P. Kochan, Peter Korsten, Shan Kothari, Jonas Kuppler, Jillian M. Kusch, Malgorzata Lagisz, Kristen Marianne Lalla, Daniel J. Larkin, Courtney L. Larson, Katherine S. Lauck, M. Elise Lauterbur, Alan Law, Don-Jean Léandri-Breton, Jonas J. Lembrechts, Kiara L’Herpiniere, Eva J. P. Lievens, Daniela Oliveira de Lima, Shane Lindsay, Martin Luquet, Ross MacLeod, Kirsty H. Macphie, Kit Magellan, Magdalena M. Mair, Lisa E. Malm, Stefano Mammola, Caitlin P. Mandeville, Michael Manhart, Laura Milena Manrique-Garzon, Elina Mäntylä, Philippe Marchand, Benjamin Michael Marshall, Charles A. Martin, Dominic Andreas Martin, Jake Mitchell Martin, April Robin Martinig, Erin S. McCallum, Mark McCauley, Sabrina M. McNew, Scott J. Meiners, Thomas Merkling, Marcus Michelangeli, Maria Moiron, Bruno Moreira, Jennifer Mortensen, Benjamin Mos, Taofeek Olatunbosun Muraina, Penelope Wrenn Murphy, Luca Nelli, Petri Niemelä, Josh Nightingale, Gustav Nilsonne, Sergio Nolazco, Sabine S. Nooten, Jessie Lanterman Novotny, Agnes Birgitta Olin, Chris L. Organ, Kate L. Ostevik, Facundo Xavier Palacio, Matthieu Paquet, Darren James Parker, David J. Pascall, Valerie J. Pasquarella, John Harold Paterson, Ana Payo-Payo, Karen Marie Pedersen, Grégoire Perez, Kayla I. Perry, Patrice Pottier, Michael J. Proulx, Raphaël Proulx, Jessica L Pruett, Veronarindra Ramananjato, Finaritra Tolotra Randimbiarison, Onja H. Razafindratsima, Diana J. Rennison, Federico Riva, Sepand Riyahi, Michael James Roast, Felipe Pereira Rocha, Dominique G. Roche, Cristian Román-Palacios, Michael S. Rosenberg, Jessica Ross, Freya E. Rowland, Deusdedith Rugemalila, Avery L. Russell, Suvi Ruuskanen, Patrick Saccone, Asaf Sadeh, Stephen M. Salazar, Kris Sales, Pablo Salmón, Alfredo Sánchez-Tójar, Leticia Pereira Santos, Francesca Santostefano, Hayden T. Schilling, Marcus Schmidt, Tim Schmoll, Adam C. Schneider, Allie E. Schrock, Julia Schroeder, Nicolas Schtickzelle, Nick L. Schultz, Drew A. Scott, Michael Peter Scroggie, Julie Teresa Shapiro, Nitika Sharma, Caroline L. Shearer, Diego Simón, Michael I. Sitvarin, Fabrício Luiz Skupien, Heather Lea Slinn, Grania Polly Smith, Jeremy A. Smith, Rahel Sollmann, Kaitlin Stack Whitney, Shannon Michael Still, Erica F. Stuber, Guy F. Sutton, Ben Swallow, Conor Claverie Taff, Elina Takola, Andrew J. Tanentzap, Rocío Tarjuelo, Richard J. Telford, Christopher J. Thawley, Hugo Thierry, Jacqueline Thomson, Svenja Tidau, Emily M. Tompkins, Claire Marie Tortorelli, Andrew Trlica, Biz R. Turnell, Lara Urban, Stijn Van de Vondel, Jessica Eva Megan van der Wal, Jens Van Eeckhoven, Francis van Oordt, K. Michelle Vanderwel, Mark C. Vanderwel, Karen J. Vanderwolf, Juliana Vélez, Diana Carolina Vergara-Florez, Brian C. Verrelli, Marcus Vinícius Vieira, Nora Villamil, Valerio Vitali, Julien Vollering, Jeffrey Walker, Xanthe J. Walker, Jonathan A. Walter, Pawel Waryszak, Ryan J. Weaver, Ronja E. M. Wedegärtner, Daniel L. Weller, Shannon Whelan, Rachel Louise White, David William Wolfson, Andrew Wood, Scott W. Yanco, Jian D. L. Yen, Casey Youngflesh, Giacomo Zilio, Cédric Zimmer, Gregory Mark Zimmerman, Rachel A. Zitomer

    Published 2025-02-01
    “…Abstract Although variation in effect sizes and predicted values among studies of similar phenomena is inevitable, such variation far exceeds what might be produced by sampling error alone. …”
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  6. 6106

    Plasma Epstein-Barr Virus DNA load for diagnostic and prognostic assessment in intestinal Epstein-Barr Virus infection by Chunxiang Ma, Chunxiang Ma, Chunxiang Ma, Mingshan Jiang, Mingshan Jiang, Mingshan Jiang, Jiaxin Li, Jiaxin Li, Jiaxin Li, Zhen Zeng, Zhen Zeng, Zhen Zeng, Yushan Wu, Yushan Wu, Yushan Wu, Rui Cheng, Rui Cheng, Rui Cheng, Hao Lin, Hao Lin, Hao Lin, Jiangmei Pang, Jiangmei Pang, Jiangmei Pang, Fang Yin, Fang Yin, Fang Yin, Yongbin Jia, Yongbin Jia, Yongbin Jia, Lili Li, Lili Li, Lili Li, Hu Zhang, Hu Zhang, Hu Zhang

    Published 2025-01-01
    “…Values of 0.82 and 0.71 were yielded by the area under the ROC curve (AUC) in the test cohort, corresponding to sensitivities of 84.38% (95% confidence interval [95%CI]: 68.25%-93.14%) and 87.5% (95%CI: 69%-95.66%), specificities of 83.33% (95%CI: 64.15%-93.32%) and 68.09% (95%CI: 53.83%-79.6%), positive predictive values (PPV) of 87.1% (95%CI: 71.15%-94.87%) and 58.33% (95%CI: 42.2%-72.86%), and positive likelihood ratios (LR+) of 5.06 and 2.74 in the validation cohort, respectively. …”
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  7. 6107

    Endothelial activation and stress index is a reliable predictor for the prevalence and mortality outcomes of stroke by Yongwei Huang, Zongping Li, Jianjun Wang, Decai Wang, Xiaoshuang Yin

    Published 2025-07-01
    “…The area under the curve (AUC) was measured to estimate the EASIX predictive values for stroke prevalence and mortality outcomes. …”
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  8. 6108

    Highly Sensitive and Specific Panels of Plasma Exosomal microRNAs for Identification of Malignant Pulmonary Nodules by Rui Tao, Dandan Wang, Wenjing Pei, Yanfei Liu, Pengcheng Liu, Renming Li, Jiegou Xu, Jing Ye, Dahai Zhao

    Published 2024-11-01
    “…The pre‐operation plasma levels of the candidate miRNAs in 77 patients with SPN (48 malignant and 29 benign, designated as the identification set) were detected by quantitative PCR, five miRNAs were identified as potential biomarkers for malignant SPNs, and the diagnostic values of the five miRNAs each alone or combined were then analyzed by AUROC analysis. The prediction values of the identified miRNAs were further evaluated in 95 patients with SPN (double blind, 74 malignant and 21 benign, designated as the validation set). …”
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  9. 6109

    New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

    Published 2022-06-01
    “…For the user scheduling problem, the proposed user scheduling (TLM) scheme is compared with three other common scheduling schemes in the simulation, and the average precision is shown when the communication time is 6 000 s and 14 000 s, where the average Accuracy is obtained by measuring the IoU, the intersection of union, of the predicted value and the true value. The CA scheme yields the worst accuracy on car 1 with the largest channel attenuation, while the IA scheme exhibits the lowest accuracy on car 4 where the data is less important. …”
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  10. 6110

    Effectiveness and safety of acupuncture and related therapies for pediatric asthma: a systematic review and meta-analysis by Jixuan Wang, Jixuan Wang, Shun Fan, Shun Fan, Kaihan Su, Kaihan Su, Jiacheng Zhang, Jiacheng Zhang, Xuanjun Lu, Xuanjun Lu, Shengxuan Guo, Shengxuan Guo, Siyuan Hu, Siyuan Hu

    Published 2025-07-01
    “…Compared to ST, the addition of acupuncture has significantly improved the percent predicted values of forced expiratory volume in 1 second (FEV1pred%) [MD = 6.02, 95% CI (1.28, 10.76), p = 0.0128], No significant effect on forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC) has been observed [MD = 3.36, 95% CI (−0.76, 7.48), p = 0.1097]. …”
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  11. 6111

    Projection of Future Climatic Variables based on CMIP5 and CMIP6 Models in the Gedarchay Catchment (West Azarbaijan) by Sanaz Azimi-Habashi, Mirhassan Miryaghoubzadeh, Mahdi Erfanian, Khadijeh Javan

    Published 2024-10-01
    “…Conclusion: The evaluation of the SDSM model's accuracy in predicting precipitation, maximum temperature, and minimum temperature using R, MAE, and RMSE statistics indicates a strong alignment between predicted values and the base period. Results show an increase in precipitation and minimum temperature in both the near and distant futures, with a rise in maximum temperature in the near future and stability in the distant future. …”
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  12. 6112

    Expression of Astragalus membranaceus phenylalanine ammonia-lyase gene in Pichia pastoris by Zhang Jianhui, Wang Shoufeng

    Published 2014-01-01
    “…SDS-PAGE demonstrated that a sharp 78 ku protein which was equal to the predicted value was expressed in the supernatant in contrast to the parent pPIC9K. …”
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  13. 6113

    Designing a Dynamic Model for Evaluating Construction Investment Projects A System Dynamics Approach by Majid Moatamedi, Mohammad Hossein Darvish Motevlli

    Published 2025-03-01
    “…The error value of the model in the predicted value and the actual value is very small on average, which indicates the high accuracy of the model in predicting the behavior of the reference. …”
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  14. 6114

    Strengthening of Inertial Dust Removal in Impingement Flow Dust Removal Array by HE Ge, HU Xianfeng, LIU Zekun, CHEN Kehong, WEI Wenyun, YU Hui

    Published 2025-07-01
    “…Taking 1 μm particles at a gas velocity of 1.5 m/s as an example, the removal rate of the cascaded impingement flow dust collection array with 15 unit rows increases by 126% compared to the 6 mm equispaced array with the same number of rows, and the correlation between removal rate and <italic>S</italic><sub>tk</sub> number aligns with the predicted value of the previously mentioned empirical formula. …”
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  15. 6115

    The Reliability of a Novel Structured Testing Device for Single-breath Lung Carbon Monoxide Uptake: A Randomized Comparison Crossover Study by Shihua Yao, Tuping Fu, Kuiqing Lin, Zhongping Wu, Shubing Chen, Liping Zhong, Beilan Shen, Yanqing Xie, Jiaying An, Xudong Wang, Wenting Liu, Xinxin Yu, Jinping Zheng, Yi Gao

    Published 2025-05-01
    “…The primary indicator was the diffusing capacity for carbon monoxide (D LCO), with the diffusion capacity of carbon monoxide as a percentage of the predicted value (D LCO %pred) as the main categorical indicator. …”
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  16. 6116

    Phosphatidylethanol and ethyl glucuronide to categorize alcohol consumption in alcohol-related cirrhosis by Benedict T.K. Vanlerberghe, Catalina Dumitrascu, Nele Van den Eede, Hugo Neels, Hannah van Malenstein, Tom J.G. Gevers, Matthijs Kramer, Lukas Van Melkebeke, Ad A.M. Masclee, Douwe de Boer, Schalk van der Merwe, Frederik Nevens, Alexander L.N. van Nuijs, Jef Verbeek

    Published 2025-08-01
    “…They had high negative predictive values (>92%) for increased and excessive use. nEtG showed promising results for assessing any alcohol use over the previous 3 months [AUROC: 0.962 (95% CI: 0.924–1.000)]. …”
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  17. 6117

    Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

    Published 2025-01-01
    “…Results: From 2,832 patients and 4,305 CT observations, the best-performing model was Spatio-Temporal 3D Convolution Network (ST3DCN), achieving area under receiver-operating-characteristic curves (AUCs) of 0.919 (95% CI, 0.903–0.935) and 0.901 (95% CI, 0.879–0.924) at the observation (n = 1,077) and patient (n = 685) levels, respectively during internal validation, compared with 0.839 (95% CI, 0.814–0.864) and 0.822 (95% CI, 0.790–0.853), respectively for standard of care radiological interpretation. The negative predictive values of ST3DCN were 0.966 (95% CI, 0.954–0.979) and 0.951 (95% CI, 0.931–0.971), respectively. …”
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  18. 6118
  19. 6119

    The Impact of Climate Change on the Content and Spatial Distribution of the Total Dissolved Solids in Bandar-e-Gaz Coastal Aquifer by Mohammad Mehdi Ansarifar, Meysam Salarijazi, Khalil Ghorbani, Abdolreza Kaboli

    Published 2019-09-01
    “…The numerical simulation also leads to the estimation of spatial distribution and changes of total dissolved solids c in Bandar-e-Gaz coastal aquifer. The predicted values for increasing the total dissolved solids content, as well as the expansion of spatial distribution maps of this pollutant, can be used as a suitable tool for managing groundwater quality in the area.…”
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  20. 6120

    Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities by Ali Rahemi karizki, Faramarz Sayyedi, Habib allah Soghi, Arazqlych Marfy, Mojtaba Salehi SHaikhi, Saeed Bagherikia

    Published 2025-03-01
    “…The maximum and minimum model-predicted values for grain yield were 410.4 and 547.6 grams per square meter, respectively, with a mean of 467.8 grams per square meter. …”
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