Pulse-profile Modeling and Spin–Orbit Alignment in a Suzaku Sample of Accreting X-Ray Binary Pulsars by Silas G. T. Laycock, Rigel C. Cappallo, Pragati Pradhan, Dimitris M. Christodoulou, Biswajit Paul

“…This is because masses in binary systems overwhelmingly come from an orbital-mechanics formulation (Kepler’s third law), in which the dominant source of uncertainty is the inclination of the orbital plane.…”
Get full text

Global, regional and national burden of asthma attributable to NO2 from 1990 to 2021: an analysis from the Global Burden of Disease Study 2021 by Chunyi Zhang, Jian Sun, Jingli Li, E Qin, Lingjing Liu, Guimei Pu

“…The estimated annual percentage change (EAPC) was used to assess temporal trends to identify regions with increasing or decreasing asthma burdens.Results In 2021, NO₂ pollution contributed to approximately 176.73 thousand DALYs globally, with an ASDR of 2.48 per 100 000 population (95% uncertainty interval (UI) −2.26 to 10.30). The global ASDR declined significantly from 1990 to 2021, with an EAPC of −1.93% (95% CI −2.14% to −1.72%). …”
Get full text

Rockburst prediction based on multi-featured drilling parameters and extreme tree algorithm for full-section excavated tunnel faces by Wenhao Yi, Mingnian Wang, Qinyong Xia, Yongyi He, Hongqiang Sun

“…The suddenness, uncertainty, and randomness of rockbursts directly affect the safety of tunnel construction. …”
Get full text

Burden of chronic obstructive pulmonary disease in adults aged 70 years and older, 1990-2021: Findings from the Global Burden of Disease Study 2021. by Kaifang Meng, Xu Chen, Zhishang Chen, Jing Xu

“…The prevalence and incidence rates increased from 18823.5 (95% uncertainty interval (UI) 16324.4-21208.4) to 20165.6 (17703.8-22549.4) and 1429.0 (1224.2-1613.0) to 1502.7 (1309.0-1677.9) per 100,000 population (EAPC 0.31, 95% CI 0.28-0.33; 0.17, 95% CI 0.16-0.19). …”
Get full text

Perceived coercion amongst healthcare workers during the COVID-19 pandemic by Andrea S. Stoltenberg, Veronica Ranieri, Hege Kristine N. Dahlen, Eleni Nastouli, SAFER Investigators, Roger Almvik, Sarah J. L. Edwards, Sunjeev K. Kamboj

“…Abstract Direct and prolonged exposure to stress and uncertainty among healthcare workers (HCWs) during the COVID-19 pandemic likely had a significant negative impact on their mental health and general wellbeing. …”
Get full text

Spatiotemporal dynamics of soil organic carbon in desert region and its response to climate change: A case study of Heihe river by Yuqing Chen, Haiyang Xi, Wenju Cheng

“…However, the long-term response mechanisms of SOC density in desert regions to climate change remain unclear, increasing uncertainty in estimating the carbon sequestration potential of these ecosystems. …”
Get full text

Currently prescribed drugs in the UK that could upregulate or downregulate ACE2 in COVID-19 disease: a systematic review by Paul Little, Simon J Griffin, Hajira Dambha-Miller, Nazrul Islam, Ali Albasri, Christopher R Wilcox, Sam Hodgson, Shareen Khan

“…This is leading to trials of repurposed drugs and uncertainty among patients and clinicians concerning continuation or cessation of prescribed medications. …”
Get full text

The Role of Cardiac Resynchronization Therapy in Heart Failure: A Narrative Review by Olivier Uwishema, Ece Karabulut, Dalal Sheikhah, Burhan Kantawala, Misgana Gallo, Fatima Soufan, Magda Wojtara

“…Although CRT is noted to be very efficient, some challenges like technological limitations, uncertainty regarding optimal pacing, and nonresponding patients, exist. …”
Get full text

Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses by Ying Xiong, Linpeng Yao, Jinglai Lin, Jiaxi Yao, Qi Bai, Yuan Huang, Xue Zhang, Risheng Huang, Run Wang, Kang Wang, Yu Qi, Pingyi Zhu, Haoran Wang, Li Liu, Jianjun Zhou, Jianming Guo, Feng Chen, Chenchen Dai, Shuo Wang

“…Abstract Treatment decisions for an incidental renal mass are mostly made with pathologic uncertainty. Improving the diagnosis of benign renal masses and distinguishing aggressive cancers from indolent ones is key to better treatment selection. …”
Get full text

Accuracy of Lung Ultrasonography for Diagnosis of Heart Failure; a Systematic Review and Meta-analysis by Erfan Rahmani, Masoud Farrokhi, Mehrdad Farrokhi, Shadi Nouri, Atousa Moghadam Fard, Behnam Hoorshad, Ramin Atighi, Erfan Ghadirzadeh, Michael Tajik, Habibollah Afshang, Aida Naseri, Mohadeseh Asoudehfard, Shiva Samami Kojidi, Arsham Ebnemehdi, Mehdi Rezaei, Maziar Daneshvar, Amirali Makhmalbaf, Sepideh Hassanpour Khodaei, Shirin Farsi, Saber Barazandeh Rad, Fateme Nozari, Pouya Rezaei, Negar Babapour, Salman Delavar, Babak Goodarzy, Lida Zare Lahijan, Sanam Mohammadzadeh, Helena Mehran, Fatemeh Gheibi, Ramtin Shemshadigolafzani, Behnaz Dalvandi, Amir Abderam

“… Introduction: Despite the evident impact of ultrasonography on diagnosis in acute care settings, there is still a great deal of uncertainty regarding its accuracy. This study aimed to assess the diagnostic performance of lung ultrasonography (LUS) for the identification of acute heart failure in patients with suggestive manifestations. …”
Get full text

Estimating the impact of school closures on the COVID-19 dynamics in 74 countries: A modelling analysis. by Romain Ragonnet, Angus E Hughes, David S Shipman, Michael T Meehan, Alec S Henderson, Guillaume Briffoteaux, Nouredine Melab, Daniel Tuyttens, Emma S McBryde, James M Trauer

“…While our estimates were associated with significant uncertainty, our sensitivity analyses exploring the impact of social mixing assumptions revealed robustness in our country-specific conclusions. …”
Get full text

ISMIP6-based Antarctic projections to 2100: simulations with the BISICLES ice sheet model by J. F. O'Neill, T. L. Edwards, D. F. Martin, C. Shafer, S. L. Cornford, H. L. Seroussi, S. Nowicki, M. Adhikari, L. J. Gregoire

“…The Ice Sheet Model Intercomparison for the Coupled Model Intercomparison Phase 6 (ISMIP6) provided projections of the ice sheet contribution to sea level over the 21st century, quantifying uncertainty due to ice sheet model, climate model, emission scenario, and uncertain parameters. …”
Get full text

Moving from monitoring to real-time interventions for air quality: are low-cost sensor networks ready to support urban digital twins? by Nicole Hannah Cowell, Nicole Hannah Cowell, Lee Chapman, David Topping, Philip James, Daniel Bell, Thomas Bannan, Ettore Murabito, James Evans, Mark Birkin

“…However, the availability and standardization of live streams of big data is a major challenge and there are issues with interoperability, metadata management, communicating uncertainty, network longevity, data ownership and transparency. …”
Get full text

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. Moreover, uncertainty about the risks of drug use in pregnancy could result in restrictive attitudes towards prescribing and dispensing medicines and their use. …”
Get full text

Pathogenesis of progressive scarring trachoma in Ethiopia and Tanzania and its implications for disease control: two cohort studies. by Matthew J Burton, Saul N Rajak, Victor H Hu, Athumani Ramadhani, Esmael Habtamu, Patrick Massae, Zerihun Tadesse, Kelly Callahan, Paul M Emerson, Peng T Khaw, David Jeffries, David C W Mabey, Robin L Bailey, Helen A Weiss, Martin J Holland

“…<h4>Conclusions/significance</h4>Scarring progressed in the absence of detectable C. trachomatis, which raises uncertainty about the primary drivers of late-stage trachoma. …”
Get full text

Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach by Mohamed Khalid AlOmar, Mohammed Majeed Hameed, Nadhir Al-Ansari, Mohammed Abdulhakim AlSaadi

“…Eight input combinations based on different parameters have been established as well as nine statistical performance measures have been used for evaluating the accuracy of adopted models, for instance, not limited, correlation of determination (R2), mean absolute relative error (MAE), and uncertainty at 95% (U95). The obtained results of the study for both stations revealed that the ELM managed efficiently to estimate the TDG in comparison to SVR technique. …”
Get full text

New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret by T. Netzel, A. Miebach, T. Litt, A. Hense

“…</p> <p>In this study, we present a new age–depth transformation in a Bayesian formulation by determining the uncertainty information of depths in lake sediments at a given age. …”
Get full text

Epidemiological Trends and Attributable Risk Burden of Cervical Cancer: An Observational Study from 1990 to 2019 by Hu Yao, Chen Yan, He Qiumin, Zhou Li, Ai Jiao, Li Xin, Li Hong

“…The global cervical cancer incidence rate increased from 335642 in 1990 to 565541 in 2019 (an increase of 68.50%, with an average annual growth rate of 2.28%), while the age-standardized incidence rate (ASIR) showed a slight downward trend of 14.91/100000 people (95% uncertainty interval [UI], 13.37-17.55) in 1990 to 13.35/100,000 persons (95% UI, 11.37-15.03) in 2019. …”
Get full text

Psychosocial and pharmacologic interventions for problematic methamphetamine use: Findings from a scoping review of the literature. by Mona Hersi, Kim Corace, Candyce Hamel, Leila Esmaeilisaraji, Danielle Rice, Nicole Dryburgh, Becky Skidmore, Gary Garber, Amy Porath, Melanie Willows, Paul MacPherson, Beth Sproule, Jorge Flores-Aranda, Chandlee Dickey, Brian Hutton

“…While several psychosocial and pharmacologic interventions have been described in the literature, there is uncertainty regarding the best approach for the management of methamphetamine use disorder (MUD) and problematic methamphetamine use (PMU). …”
Get full text

Developing clinical reasoning along the cognitive continuum: a mixed methods evaluation of a novel Clinical Diagnosis Assessment by Lucinda E. Ainge, Amanda K. Edgar, Jacqueline M. Kirkman, James A. Armitage

“…Conclusions The assessment exposed students underlying thinking, allowing identification of a range of clinical reasoning difficulties such as semantic transformation, prioritization, management planning, cognitive bias and managing diagnostic uncertainty. Better understanding of clinical reasoning difficulties will allow targeted remediation and inform curriculum design. …”
Get full text