A Study on the Effect of Precise Rehabilitation Therapy Guided by Three-dimensional-computed Tomography Reconstruction Technology in Hip Fracture Surgery Patients.

OBJECTIVE: To evaluate the effectiveness of precise rehabilitation therapy guided by three-dimensional computed tomography (3D-CT) reconstruction technology in hip fracture patients through a retrospective cohort study. METHOD: Data were retrospectively collected from 60 patients aged over 60 who had undergone hip fracture surgery. They were divided into two groups based on their chosen rehabilitation method: a control group and a test group. The study collected demographic data, fracture characteristics, and quality of life indicators to assess the impact of rehabilitation on economic indicators and daily living activities (ADL). Additionally, it included assessments of muscle strength, joint mobility, hip function, postoperative complications, and records of hospitalization information and costs. Cognitive function was also assessed postoperatively. RESULTS: There were no significant differences in demographic data, fracture characteristics, ADL, or Fugl-Meyer assessment (FMA) between the two groups. However, the test group exhibited significantly higher post-surgery muscle strength recovery and hip mobility compared to the control group (P<0.05). Additionally, the test group had significantly fewer hospitalization days and lower hospitalization costs than the control group (P<0.05). CONCLUSION: Precise rehabilitation therapy guided by 3D-CT reconstruction technology for hip fracture surgery patients can enhance early muscle strength recovery, improve mobility of the affected limb, reduce hospitalization duration and costs, and enhance overall patient recovery outcomes.

Storyline attribution of human influence on a record-breaking spatially compounding flood-heat event.

Attribution of compound events informs preparedness for emerging hazards with disproportionate impacts. However, the task remains challenging because space-time interactions among extremes and uncertain dynamic changes are not satisfactorily addressed in the well-established attribution framework. For attributing the 2020 record-breaking spatially compounding flood-heat event in China, we conduct a storyline attribution analysis by designing simulation experiments via a weather forecast model, quantifying component-based attributable changes, and comparing with historical flow analogs. We quantify that given the large-scale circulation, anthropogenic influence to date has exacerbated the extreme Mei-yu rainfall in the mid-lower reaches of the Yangtze River during June-July 2020 by ~6.5% and warmed the co-occurring seasonal extreme heat in South China by ~1°C. Our projections show a further intensification of the compound event by the end of this century, with moderate emissions making the rainfall totals ~14% larger and the season ~2.1°C warmer in South China than the 2020 status.

Process Optimization and Tailored Mechanical Properties of a Nuclear Zr-4 Alloy Fabricated via Laser Powder Bed Fusion.

A nuclear Zr-4 alloy with a near full density was fabricated via laser powder bed fusion (LPBF). The influences of process parameters on the printability, surface roughness, and mechanical properties of the LPBF-printed Zr-4 alloy were investigated. The results showed that the relative density of the Zr-4 alloy samples was greater than 99.3% with the laser power range of 120-160 W and the scanning speed range of 600-1000 mm/s. Under a moderate laser power in the range of 120-140 W, the printed Zr-4 alloy possessed excellent surface molding quality with a surface roughness less than 10 µm. The microstructure of the printed Zr-4 alloy was an acicular α phase with an average grain size of about 1 µm. The Zr-4 alloy printed with a laser power of 130 W and a scanning speed of 400 mm/s exhibited the highest compression strength of 1980 MPa and the highest compression strain of 28%. The findings demonstrate the potential in the fabrication of complex Zr-4 alloy parts by LPBF for industrial applications.

Anthropogenically-driven increases in the risks of summertime compound hot extremes.

Compared to individual hot days/nights, compound hot extremes that combine daytime and nighttime heat are more impactful. However, past and future changes in compound hot extremes as well as their underlying drivers and societal impacts remain poorly understood. Here we show that during 1960-2012, significant increases in Northern Hemisphere average frequency (~1.03 days decade-1) and intensity (~0.28 °C decade-1) of summertime compound hot extremes arise primarily from summer-mean warming. The forcing of rising greenhouse gases (GHGs) is robustly detected and largely accounts for observed trends. Observationally-constrained projections suggest an approximate eightfold increase in hemispheric-average frequency and a threefold growth in intensity of summertime compound hot extremes by 2100 (relative to 2012), given uncurbed GHG emissions. Accordingly, end-of-century population exposure to compound hot extremes is projected to be four to eight times the 2010s level, dependent on demographic and climate scenarios.