An Orthogonal Learning Differential Evolution Algorithm for Remote Sensing Image Registration

We introduce an area-based method for remote sensing image registration. We use orthogonal learning differential evolution algorithm to optimize the similarity metric between the reference image and the target image. Many local and global methods have been used to achieve the optimal similarity metric in the last few years. Because remote sensing images are usually influenced by large distortions and high noise, local methods will fail in some cases. For this reason, global methods are often required. The orthogonal learning (OL) strategy is efficient when searching in complex problem spaces. In addition, it can discover more useful information via orthogonal experimental design (OED). Differential evolution (DE) is a heuristic algorithm. It has shown to be efficient in solving the remote sensing image registration problem. So orthogonal learning differential evolution algorithm (OLDE) is efficient for many optimization problems. The OLDE method uses the OL strategy to guide the DE algorithm to discover more useful information. Experiments show that the OLDE method is more robust and efficient for registering remote sensing images

Measuring the predictability of life outcomes with a scientific mass collaboration.

How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly better than those from a simple benchmark model. Within each outcome, prediction error was strongly associated with the family being predicted and weakly associated with the technique used to generate the prediction. Overall, these results suggest practical limits to the predictability of life outcomes in some settings and illustrate the value of mass collaborations in the social sciences

Dual-screw versus single-screw cephalomedullary nails for intertrochanteric femoral fractures: a systematic review and meta-analysis

Abstract Background Internal fixation with cephalomedullary nails has been widely used in the treatment of intertrochanteric femoral fractures (IFF). Yet, the difference in efficacy and safety between the commonly used integrated dual-screw cephalomedullary nail (InterTAN) and single-screw cephalomedullary nail remains inconclusive. Thus we performed the present systematic review and meta-analysis. Methods Randomized controlled trials (RCTs) or observational studies comparing InterTAN with proximal femoral nail anti-rotation (PFNA), the Asian PFNA (PFNA-II), or the Gamma3 nail in treating IFF were searched on PubMed, EMBASE, Web of Science and Cochrane Library from inception to April 30, 2023. The differences in perioperative parameters and clinical and radiological outcomes were evaluated by mean difference (MD) with 95% confidence interval (95%CI). The risks of various complications and mortality were assessed by risk ratio (RR) with 95%CI. Results Twenty-three studies comprising 3566 patients were included. Compared with single-screw cephalomedullary nails (PFNA/PFNA-II, Gamma3), InterTAN conferred significantly reduced risk of implant failures (RR = 0.37, 95%CI 0.26 to 0.51, P < 0.001), hip and thigh pain (RR = 0.70, 95%CI 0.55 to 0.90, P = 0.006) and all-cause revision/reoperation (RR = 0.38, 95%CI 0.26 to 0.57, P < 0.001). Moreover, patients treated with InterTAN had significantly higher 1-year Harris Hip Score (MD = 0.82, 95%CI 0.20–1.44, P = 0.010) and shorter time to union/healing (MD = − 0.66 days, 95%CI  − 1.16 to  − 0.16, P = 0.009). Femoral neck shortening, time to full bearing, and incidences of non-union, infection, deep venous thrombosis, and mortality were comparable between both groups. Conclusions The integrated dual-screw InterTAN construct has superior performance in reducing risks of complications and improving clinical and functional outcomes in the treatment of IFF. More well-designed, high-quality RCTs are warranted to confirm these findings

Additional file 2 of Dual-screw versus single-screw cephalomedullary nails for intertrochanteric femoral fractures: a systematic review and meta-analysis

Additional file 2. PRISMA 2020 for Abstract Checklist

Additional file 4 of Dual-screw versus single-screw cephalomedullary nails for intertrochanteric femoral fractures: a systematic review and meta-analysis

Additional file 4. Figure S1 Forest plot of meta-analysis of operative time. Figure S2 Forest plot of meta-analysis of fluoroscopy time. Figure S3 Forest plot of meta-analysis of intraoperative blood loss. Figure S4 Forest plot of meta-analysis of length of hospital stay. Figure S5 Forest plot of meta-analysis of femoral neck shortening. Figure S6 Forest plot of meta-analysis of time to full bearing. Figure S7 Forest plot of meta-analysis of 6-month Harris Hip Score. Figure S8 Forest plot of meta-analysis of Harris Hip Score at last follow-up. Figure S9 Forest plot of meta-analysis of femoral shaft fracture. Figure S10 Forest plot of meta-analysis of cut-out. Figure S11 Forest plot of meta-analysis of screw migration. Figure S12 Forest plot of meta-analysis of varus collapse. Figure S13 Forest plot of meta-analysis of non-union. Figure S14 Forest plot of meta-analysis of infection. Figure S15 Forest plot of meta-analysis of deep venous thrombosis. Figure S16 Forest plot of meta-analysis of mortality. Figure S17 Sensitivity analysis of operative time using the “Leave-one-out” method

Additional file 1 of Dual-screw versus single-screw cephalomedullary nails for intertrochanteric femoral fractures: a systematic review and meta-analysis

Additional file 1. PRISMA 2020 Checklist

Additional file 3 of Dual-screw versus single-screw cephalomedullary nails for intertrochanteric femoral fractures: a systematic review and meta-analysis

Additional file 3. Table S1 List of excluded articles and their reasons. Table S2 Outcomes reported in studies of the meta-analysis. Table S3 Risk of bias assessment of randomized controlled trials. Table S4 Quality assessment of observational studies using GRACE checklist. Table S5 Results of subgroup analyses

What Affects Chinese Residents’ Perceptions of Climate Change?

The theme of global sustainable development has changed from environmental management to climate governance, and relevant policies on climate governance urgently need to be implemented by the public. The public understanding of climate change has become the prerequisite and basis for implementing various climate change policies. In order to explore the affected factors of climate change perception among Chinese residents, this study was conducted across 31 provinces and regions of China through field household surveys and interviews. Combined with the residents&#8217; perception of climate change with the possible affected factors, the related factors affecting Chinese residents&#8217; perception of climate change were explored. The results show that the perceptive level of climate change of Chinese residents is related to the education level and the household size of residents. Improving public awareness of climate change risk in the context of climate change through multiple channels will also help to improve residents&#8217; awareness of climate change. On the premise of improving the level of national education, improving education on climate change in school education and raising awareness of climate change risk among dependents will help to improve the level of Chinese residents&#8217; awareness of climate change, which could be instrumental in promoting public participation in climate change mitigation and adaptation actions

Change in the Green-Up Dates for <i>Quercus mongolica</i> in Northeast China and Its Climate-Driven Mechanism from 1962 to 2012

<div><p>The currently available studies on the green-up date were mainly based on ground observations and/or satellite data, and few model simulations integrated with wide coverage satellite data have been reported at large scale over a long time period (i.e., > 30 years). In this study, we combined phenology mechanism model, long-term climate data and synoptic scale remote sensing data to investigate the change in the green-up dates for <i>Quercus mongolica</i> over 33 weather stations in Northeast China and its climate-driven mechanism during 1962-2012. The results indicated that the unified phenology model can be well parameterized with the satellite derived green-up dates. The optimal daily mean temperature for chilling effect was between -27°C and 1°C for <i>Q</i>. <i>mongolica</i> in Northeast China, while the optimal daily mean temperature for forcing effect was above -3°C. The green-up dates for <i>Q</i>. <i>mongolica</i> across Northeast China showed a delayed latitudinal gradient of 2.699 days degree^-1, with the earliest date on the Julian day 93 (i.e., 3^th April) in the south and the latest date on the Julian day 129 (i.e., 9^th May) in the north. The green-up date for <i>Q</i>. <i>mongolica</i> in Northeast China has advanced 6.6 days (1.3 days decade^-1) from 1962 to 2012. With the prevailing warming in autumn, winter and spring in Northeast China during the past 51 years, the chilling effect for <i>Q</i>. <i>mongolica</i> has been weakened, while the forcing effect has been enhanced. The advancing trend in the green-up dates for <i>Q</i>. <i>mongolica</i> implied that the enhanced forcing effect to accelerate green-up was stronger than the weakened chilling effect to hold back green-up while the changes of both effects were caused by the warming climate.</p></div

The distribution of <i>Q</i>. <i>mongolica</i> forests and the weather stations in Northeast China.

<p>The distribution of <i>Q</i>. <i>mongolica</i> forests and the weather stations in Northeast China.</p