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Health utility scores of six common cancers in China measured by SF-6Dv2.
Health Qual Life Outcomes
January 2025
School of Health Management, Harbin Medical University, Harbin, 150081, China.
Purpose: Given the recent update of SF-6Dv2, detailed data on utility scores for cancer patients by cancer type remain scarce in China and other regions, which limits the precision of cost-utility analyses (CUA) in cancer interventions. The aim of the study was to systematically evaluate utility scores of six common cancers in China measured using SF-6Dv2, and identify the potential factors associated with utility scores.
Methods: A hospital-based cross-sectional survey was conducted from August 2022 to December 2023.
Investigating lung cancer microenvironment from cell segmentation of pathological image and its application in prognostic stratification.
Sci Rep
January 2025
Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, 116011, China.
Lung cancer, particularly adenocarcinoma, ranks high in morbidity and mortality rates worldwide, with a relatively low five-year survival rate. To achieve precise prognostic assessment and clinical intervention for patients, thereby enhancing their survival prospects, there is an urgent need for more accurate stratification schemes. Currently, the TNM staging system is predominantly used in clinical practice for prognostic evaluation, but its accuracy is constrained by the reliance on physician experience.
View Article and Find Full Text PDFResearch on vehicle scheduling for forest fires in the northern Greater Khingan Mountains.
Sci Rep
January 2025
College of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot, 010010, China.
In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm's solution efficiency and accuracy, through the northern pristine forest area of Daxing'anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program.
View Article and Find Full Text PDFThe role of direct air capture in achieving climate-neutral aviation.
Nat Commun
January 2025
Institute for Environmental Decisions, ETH Zürich, 8092, Zürich, Switzerland.
Growing demand for air travel and limited scalable solutions pose significant challenges to the mitigation of aviation's climate change impact. Direct air capture (DAC) may gain prominence due to its versatile applications for either carbon removal (direct air carbon capture and storage, DACCS) or synthetic fuel production (direct air carbon capture and utilization, DACCU). Through a comprehensive and time-dynamic techno-economic assessment, we explore the conditions for synthetic fuels from DACCU to become cost-competitive with an emit-and-remove strategy based on DACCS under 2050 CO and climate neutrality targets.
View Article and Find Full Text PDFAntiT2DMP-Pred: Leveraging feature fusion and optimization for superior machine learning prediction of type 2 diabetes mellitus.
Methods
January 2025
Department of Physiology, Ajou University School of Medicine, Suwon 16499 Republic of Korea; Department of Molecular Science and Technology, Ajou University, Suwon 16499 Republic of Korea. Electronic address:
Pancreatic α-amylase breaks down starch into isomaltose and maltose, which are further hydrolyzed by α-glucosidase in the intestine into monosaccharides, rapidly raising blood sugar levels and contributing to type 2 diabetes mellitus (T2DM). Synthetic inhibitors of carbohydrate-digesting enzymes are used to manage T2DM but may harm organ function over time. Bioactive peptides offer a safer alternative, avoiding such adverse effects.
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