Effectiveness of a specialist palliative home care nurse–patient consultation followed by an interprofessional telephone case conference compared with usual care among patients wit... by Judith Dams, Hans-Helmut König, Tim Friede, Nils Schneider, Stephanie Stiel, Martin Scherer, Silke Böttcher, Gabriella Marx, Ingmar Schäfer, Nadine Janis Pohontsch, Hendrik van den Bussche, Friedemann Nauck, Michael Freitag, Eva Hummers, Tina Mallon, Franziska Schade, Manuel Zimansky, Thomas Asendorf, Christiane A Mueller

“…Due to the complex medical conditions and prognostic uncertainty of the course of CNMD, early interprofessional care planning among general practitioners who provide general palliative care and specialist palliative home care (SPHC) teams seems mandatory. …”
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A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect by T. M. Jordan, G. Dall'Olmo, G. Tilstone, R. J. W. Brewin, F. Nencioli, R. Airs, C. S. Thomas, L. Schlüter

“…The IOP data are processed using a consistent methodology and include propagated uncertainties for each IOP variable, uncertainty quantification for the Tot_Chl_a concentrations based on HPLC match-ups, application of consistent quality-control filters, and standardization of output data fields and formats. …”
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Needs for rehabilitation in China: Estimates based on the Global Burden of Disease Study 1990–2019 by Tian Tian, Lin Zhu, Qingzhen Fu, Shiheng Tan, Yukun Cao, Ding Zhang, Mingxue Wang, Ting Zheng, Lijing Gao, Daria Volontovich, Yongchen Wang, Jinming Zhang, Zhimei Jiang, Hongbin Qiu, Fan Wang, Yashuang Zhao, Rongman Jia

“…The number of prevalent cases that need rehabilitation increased from around 268 (95% uncertainty interval [UI]: 257–282) million in 1990 to almost 460 (95% UI: 443–479) million in 2019, representing an increase of 71.3%. …”
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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems by Dumitru Baleanu, Yeliz Karaca

“…Given that slight perturbation leads to a significantly divergent future concatenation of events, pinning down the state of different systems precisely can enable one to unveil uncertainty to some extent. Predicting the future evolution of chaotic systems can screen the direction towards distant horizons with extensive applications in order to understand the internal machinations of neural and chaotic complex systems. …”
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Comparative Analysis of Carbon Density Simulation Methods in Grassland Ecosystems: A Case Study from Gansu Province, China by Luyao Wu, Jiaqiang Du, Xinying Liu, Lijuan Li, Xiaoqian Zhu, Xiya Chen, Yue Gong, Yushuo Li

“…However, substantial variability among remote sensing inversion models, particularly in theoretical foundations, variable selection, and algorithmic implementation, introduces significant uncertainty into estimating grassland carbon density. …”
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Spatiotemporal patterns and driving factors of NDVI changes in the central and Western Asia economic corridor over the past decade by Kaimin Wang, Kaimin Wang, Min Xu, Shaohua Wang, Lin Wang, Haijing Tian, Sornkitja Boonprong, Xiaotong Gao, Xiaotong Gao, Xinwei Yang, Heyi Guo, Heyi Guo, Jingbo Li, Jingbo Li, Yujie Yang, Yujie Yang, Ruichen Hu, Ruichen Hu, Yu Zhang, Yu Zhang, Chunxiang Cao

“…The Central and West Asia Economic Corridor (CWAEC) is a critical component of the Belt and Road Initiative (BRI), and that vegetation changes in the region are under significant uncertainty due to fragile ecological conditions, diverse climatic variability, and that these uncertainties are compounded by the interaction of natural factors and human activities. …”
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Dealing with Complexity – Knowledge, design, and management of the built environment by Cesare Sposito, Francesca Scalisi

“…How we live, regardless of where this happens, has an impact on the biosphere and determines chain reactions in different areas that affect both nature and human beings on a global scale: climate change, health risks, loss of biodiversity, indiscriminate use of non-renewable resources, inequalities, and accessibility contribute to a condition of ‘polycrysis’ that amplifies the state of uncertainty about our future and the vulnerability of the entire ecosystem, especially since the actions put in place do not address the cogent environmental issue in a systemic and holistic key. …”
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Global, regional and national burden due to retinoblastoma in children aged younger than 10 years from 1990 to 2021 by Cong Li, Lijun Zhang, Jie Zhang, Jinghua Jiao, Guangyao Hua, Yan Wang, Xue He, Chingyu Cheng, Honghua Yu, Xiaohong Yang, Lei Liu

“…Results Globally, the age-standardised incidence rate (ASIR), age-standardised mortality rate (ASMR), and age-standardised DALYs rate (ASDR) for RB among young children in 2021 were 0.09 [95% uncertainty interval (UI): 0.05 to 0.13], 0.04 (95%UI: 0.03 to 0.06), and 3.65 (95%UI: 2.21 to 4.96), respectively. …”
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Refined Mapping of Subsurface Water Ice on Mars to Support Future Missions by G. A. Morgan, N. E. Putzig, D. M. H. Baker, A. Pathare, C. M. Dundas, M. B. Russell, M. R. Perry, M. Chojnacki, H. G. Sizemore, A. M. Bramson, E. I. Petersen, S. Nerozzi, R. H. Hoover, Z. Bain

“…In concert with other studies, prior SWIM phases have recognized the uncertainty in our understanding of the geographic and vertical distribution of ice, especially between depths of 1 m and 10 m, creating a push for new ice-prospecting orbital missions, such as the International Mars Ice Mapper mission concept. …”
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An improved lightweight ConvNeXt for rice classification by Pengtao Lv, Heliang Xu, Qinghui Zhang, Lei Shi, Heng Li, Youyang Chen, Yana Zhang, Dengke Cao, Zhongyang Liu, Yixin Liu, Jingwen Han, Zhan Zhang, Yiran Qi

“…Under the pressure of climate change, the international food market is facing great uncertainty. Rice is widely grown as a major worldwide food crop, and different rice seeds often influence the future merit of a country's rice growth. …”
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Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia by Richard White, Katherine L Fielding, Salome Charalambous, Nicola Foster, Degu Jerene, Andrew Mganga, Taye Letta, Job van Rest, Amare Worku Tadesse, Rein MGJ Houben, Ahmed Bedru, Kristian van Kalmthout, Christopher Finn McQuaid, Lara Goscé, Jense van der Wal, Martin J Harker, Norma Madden, Tofik Abdurhman, Demekech Gadissa, Tanyaradzwa N Dube, Jason Alacapa, Natasha Deyanova

“…We projected long-term TB incidence, mortality and costs to 2035 and conducted a threshold analysis to identify the maximum possible epidemiological impact of a DAT intervention by assuming 100% treatment completion for patients on DAT.Findings We estimated small and uncertain epidemiological benefits of the pillbox intervention compared with the standard of care in Ethiopia, with a difference of −0.4% (95% uncertainty interval (UI) −1.1%; +2.0%) incident TB episodes and −0.7% (95% UI −2.2%; +3.6%) TB deaths. …”
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SO₂ emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes by Y. Chen, Y. Chen, R. J. van der A, J. Ding, H. Eskes, J. E. Williams, N. Theys, A. Tsikerdekis, P. F. Levelt, P. F. Levelt, P. F. Levelt

“…Our derived averaged SO<span class="inline-formula">₂</span> emissions covering the recent 5 years are about 5.2 Tg yr<span class="inline-formula">⁻¹</span> with a monthly mean uncertainty of 40 %, which is lower than the bottom-up emissions of 11.0 Tg yr<span class="inline-formula">⁻¹</span> from CAMS-GLOB-ANT v5.3. …”
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Disease burden of biliary tract cancer in 204 countries and territories, 1990–2021: A comprehensive demographic analysis of the Global Burden of Disease Study 2021 by Xuheng Sun, Jiangmei Liu, Wei Zhang, Yijun Wang, Yan Jiang, Lijun Wang, Yixin Zou, Yuxuan Xiao, Yongbing Xiang, Maolan Li, Maigeng Zhou, Yingbin Liu, Sihan Zhou, Xiuyuan Hao

“…The number of incident cases, deaths, and disability-adjusted life-years (DALYs) tended to increase and peaked at 216,770 (95% uncertainty interval [UI]: 181,890–245,240), 171,960 (95% UI: 142,350–194,240), and 3,732,100 (95% UI: 3,102,900–4,317,000) person-years, respectively, in 2021. …”
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Functional cognitive disorder: Beyond pseudodementia by D.S. Marín-Medina, P.A. Arenas-Vargas, M. del Pilar Velásquez-Duque, P.M. Bagnati

“…Therefore, correct identification of cases and differentiation from mild cognitive impairment can help avoid unnecessary testing and reduce patient uncertainty. Treatment begins from the moment the patient is informed about their diagnosis, and is based on psychotherapy and metacognitive training. …”
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Global, regional, and national burden inequality of chronic kidney disease, 1990–2021: a systematic analysis for the global burden of disease study 2021 by Jingxun Guo, Jingxun Guo, Zhen Liu, Zhen Liu, Pengjun Wang, Heming Wu, Kai Fan, Kai Fan, Jianbo Jin, Jianbo Jin, Lan Zheng, Lan Zheng, Zeyu Liu, Zeyu Liu, Renyi Xie, Renyi Xie, Renyi Xie, Cheng Li, Cheng Li, Cheng Li, Cheng Li

“…These were presented as counts per 100,000 population and age-standardized rates, with uncertainty intervals (UIs) to highlight variability. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…ObjectiveEscalating competition and environmental uncertainty drive business owners towards adopting agile and intelligent communication functions with customers. …”
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Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for... by Anna Ugalde, Richard W. Tothill, Stephen Quinn, Hui-Li Wong, Owen Prall, Catherine Mitchell, Nilmini Wickramasinghe, Clare Fedele, Natalie Richards, Elizabeth Todio, Cindy Bryant, Louisa G. Collins, Sarah McLean, Hyun Soo Ko, Tim Akhurst, Christopher Steer, Bo Gao, Mark Wong, Chloe Georgiou, Narayan Karanth, Anna Kuchel, Louise Nott, Shamsudheen Padinharakam, Mark Shackleton, Ian M. Collins, Madhu Singh, Rachel Wong, Zee Wan Wong, Alexis Butler, Tharani Sivakumaran, Penelope Schofield, Linda Mileshkin

“…Secondary outcomes are whether the type of tumour is diagnosed, clinical trial participation, referral to palliative care, patient-reported physical, social and mental health, patient-reported understanding and uncertainty. Implementation outcomes include acceptability, feasibility, fidelity and adoption and health care use and costs. …”
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Heart disease in pregnancy and adverse outcomes: an umbrella review by Jiani Zhang, Jiani Zhang, Yuxin Ren, Yuxin Ren, Bingjie Li, Qi Cao, Qi Cao, Xiaodong Wang, Xiaodong Wang, Haiyan Yu, Haiyan Yu

“…Adverse outcomes for offspring were death, pregnancy loss, growth restriction, low birth weight, preterm birth, recurrence, and uncertainty. No publication bias was detected using Egger’s test. …”
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Genome-wide identification of novel flagellar motility genes in Pseudomonas syringae pv. tomato DC3000 by Zichu Yang, Tyler Helmann, Maël Baudin, Maël Baudin, Maël Baudin, Karl J. Schreiber, Karl J. Schreiber, Zhongmeng Bao, Paul Stodghill, Paul Stodghill, Adam Deutschbauer, Adam Deutschbauer, Jennifer D. Lewis, Jennifer D. Lewis, Bryan Swingle, Bryan Swingle

“…A significant portion of our understanding about the genes functioning in Pst DC3000 motility is based on comparison to other bacteria. This leaves uncertainty about whether gene functions are conserved, especially since specific regulatory modules can have opposite functions in sets of Pseudomonas. …”
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Clinical Characteristics During and After COVID‐19 Infection Among Healthcare Workers During the First Wave of Omicron in Chongqing, China by Haoling Tang, Zhiwei Chen, Tianquan Huang, Pingping Yu, Qiao Tang, Yue Qiu, Yunling Xue, Jing Tang, Nan Cai, Hong Ren, Mingli Peng, Peng Hu

“…ABSTRACT Background Revealing the clinical manifestations and associations of COVID‐19 before and after negative transition remains an area of significant uncertainty. The aim of this study is to investigate the clinical characteristics observed during and after Omicron infection among a specific population, namely healthcare workers (HCWs). …”
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