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Hyperspectral images (HSI) provide ample spectral information of land cover. The hybrid classification method works well for HSI; however, how to select the suitable similarity measures as kernels with the appropriate weights of hybrid classification for HSI is still under investigation. In this paper, a filter feature selection was designed to select the most representative features based on similarity measures. Then, the weights of applicable similarity measures were computed based on coefficients of variation (CVs) of similarity measures. Implementing the similarity measures as the kernels with weights into the K-means algorithm, a new hybrid changing-weight classification method with a filter feature selection (HCW-SSC) was developed. Standard spectral libraries, operative modular imaging spectrometer (OMIS) airborne HSI, airborne visible/infrared imaging spectrometer (AVIRIS) HSI, and Hyperion satellite HSI were selected to inspect the HCW-SSC method. The results showed that the HCW-SSC method has the highest overall accuracy and kappa coefficient (or F1 score) in all experiments (97.5% and 0.974 for standard spectral libraries, 93.21% and 0.9245 for OMIS, 79.24% and 0.8044 for AVIRIS, and 81.23% and 0.7234 for Hyperion) compared to the classification methods (93.75% and 0.958 for standard spectral libraries, 88.27% and 0.8698 for OMIS, 73.12% and 0.7225 for AVIRIS, and 56.34% and 0.3623 for Hyperion) without feature selection and the machine-learning method (68.27% and 0.6628 for AVIRIS, and 51.21% and 0.4255 for Hyperion). The experimental results demonstrate that the new hybrid method performs more effectively than the traditional hybrid method. This also shed a light on the importance of feature selection in HSI classification.

Fires in the wildland-urban interface (WUI) are an important issue globally. To understand the change of WUI, we develop a 9 km worldwide unified wildland-urban interface database for 2001–2020 with Random Forest models and satellite data. We find that WUI has been increasing in all populated continents from 2001 to 2020 and the global relative increase is 24%, with the largest relative increase (∼59%) over Africa. Global total fire counts decrease by 10% from 2005 to 2020, whereas the WUI fraction of fire counts increases by 23%. The global total burned area decreases by 22% from 2005 to 2020, whereas the WUI fraction of burned area increases by 35%. These are mainly due to the expansion of WUI area. On all the populated continents, the WUI fractions of fire counts are higher than the WUI fractions of burned area, implying that WUI fires tend to have smaller sizes than wildland fires. We also project future WUI changes for the years 2030 and 2040, together with the projection of future fire burned area under different shared socioeconomic pathways (SSP) scenarios in the Community Earth System Model version 2 (CESM2). The projected global WUI fraction (excluding Antarctica and the oceans) is 5.9% in 2040 compared to 4.8% in 2020. The global WUI fraction of burned area is projected to increase from now to 2040 under most scenarios analyzed in this study, unless the WUI area stays at the 2020 level together with the projected burned area under SSP4-4.5. This study is a first step to understanding the changes of WUI fires at the global scale and demonstrates a growing importance of WUI fires. The global multi-year WUI and WUI fire datasets developed in this study can facilitate future work quantifying the impacts of WUI fires on air quality and climate.

Nanoparticles (NPs) in biological fluids form a layer of biomolecules known as the protein corona. The protein corona has been shown to determine the biological identity and in vivo fate of NPs, but whether and how metabolites, especially disease-related small molecules, regulate the protein corona and subsequently impact NP fate in vivo is relatively poorly understood. Here we report on the effects of cholesterol on the generation of protein corona and subsequent effects. We find that high levels of cholesterol, as in hypercholesterolemia, result in a protein corona with enriched apolipoproteins and reduced complement proteins by altering the binding affinity of the proteins to the NPs. The cholesterol-mediated protein corona can induce stronger inflammatory responses to NPs in macrophages and promote the cellular uptake of NPs in hepatocytes by enhancing the recognition of lipoprotein receptors when compared with normal protein corona. The result of in vivo biodistribution assays shows that, compared with healthy mice, NPs in hypercholesterolemic mice were more likely to be delivered to the liver, spleen and brain, and less likely to be delivered to the lungs. Our findings reveal that the metabolome profile is an unexploited factor impacting the target efficacy and safety of nanomedicines, providing a way to develop personalized nanomedicines by harnessing disease-related metabolites. Here the authors report that the metabolome profile is an unexploited factor impacting the targeting efficacy and safety of nanomedicines, using cholesterol as an example, showing a way and need to develop personalized nanomedicines by harnessing disease-related metabolites.

Two-electrode solar rechargeable device is one of the promising technologies to address the problem of solar energy storage in large scale. However, the mechanism of dark output voltage remains unclear and the low volumetric energy density also limits its practical applications. Herein, we report that a Si/CoO x /KBi (aq) /MnO x Faradaic junction device exhibits a photovoltage memory effect, that is, the dark output voltage can precisely record the value of the photovoltage in the device. To investigate the mechanism of the effect, we develop an open circuit potential method to real-time monitor the photo charge and dark discharge processes in the Faradaic junction device. This effect leads to minimized interface energy loss in the Faradaic junction device, which achieves much higher performances than the devices without the effect. Moreover, we realize a portable device with a record value of the dark volumetric energy density (∼1.89 mJ cm −3 ) among all reported two-electrode solar rechargeable devices. These results offer guidance to improve the performance of a solar rechargeable device and design other photoelectric devices for new applications. A Faradaic junction solar rechargeable device is one of the promising technologies to address the problem of solar energy storage but the working mechanism remains unclear. Here, the authors report a photovoltage memory effect in a portable Si/CoO x /KBi (aq) /MnO x Faradaic junction device.

This study aimed to investigate the incidence of and risk factors for postoperative new-onset deep venous thrombosis (PNO-DVT) following intertrochanteric fracture surgery. Information on 1672 patients who underwent intertrochanteric fracture surgery at our hospital between January 2016 and December 2019 was extracted from a prospective hip fracture database. Demographic information, surgical data, and preoperative laboratory indices were analysed. Receiver operating characteristic curve analysis, univariate analyses and binary logistic regression analyses were performed. The incidences of postoperative deep venous thrombosis (DVT) and PNO-DVT in inpatients after intertrochanteric fracture surgery were 11.5% (202 of 1751 patients) and 7.4% (123 of 1672 patients), respectively. PNO-DVT accounted for 60.9% of postoperative DVT. Additionally, there were 20 cases of central thrombosis (16.3%), 82 cases of peripheral thrombosis (66.7%), and 21 cases of mixed thrombosis (17.1%). In addition, 82.1% of PNO-DVTs were diagnosed within 8 days after surgery. The multivariate analysis revealed that age > 70 years, duration of surgery (> 197 min), type of anaesthesia (general), and comorbidities (≥ 3) were independent risk factors for the development of PNO-DVT after intertrochanteric fracture surgery. This study demonstrated a high incidence of PNO-DVT in inpatients after intertrochanteric fracture surgery. Therefore, postoperative examination for DVT should be routinely conducted for patients.

The present study aims to introduce a technique combining double reverse traction repositor (DRTR) with minimally invasive plate osteosynthesis (MIPO) in the surgical treatment of pilon fractures and to observe the efficiency of this approach during a short-term follow-up period. From January to December 2018, patients with pilon fractures who were treated by MIPO with DRTR were reviewed. The demographic and fracture characteristics, surgical data, and prognostic data of 24 patients were extracted. In all 24 patients, closed reduction was achieved with the MIPO technique, and excellent functional and radiological outcomes were observed. The average duration of surgery and intraoperative blood loss were 95.0 ± 14.2 min and 152.1 ± 52.1 ml, respectively. A mean of 16.0 ± 1.9 intraoperative fluoroscopies were conducted. At the 12-month follow-up evaluation, the average AOFAS score was 85.2 ± 5.1. Anatomic or good reduction was observed in 23 (95.8%) patients. The mean ranges of motion of dorsiflexion and plantarflexion were 11.0 ± 2.7 and 32.7 ± 11.1, respectively. Two patients with deep venous thrombosis and one patient with wound non-purulent exudate were noted. Additionally, the wounds healed after routine dressing change. No other complications, including skin necrosis or delayed, non-union or malunion, were observed. The new strategy combining DRTR with MIPO in the treatment of pilon fractures allowed excellent radiological and clinical outcomes and a low postoperative complication rate to be achieved in a short-term follow-up period. Further large sample and comparative studies should be conducted to validate our results.

Nanocarriers have therapeutic potential to facilitate drug delivery, including biological agents, small-molecule drugs, and nucleic acids. However, their efficiency is limited by several factors; among which, endosomal/lysosomal degradation after endocytosis is the most important. This review summarizes advanced strategies for overcoming endosomal/lysosomal barriers to efficient nanodrug delivery based on the perspective of cellular uptake and intracellular transport mechanisms. These strategies include promoting endosomal/lysosomal escape, using non-endocytic methods of delivery to directly cross the cell membrane to evade endosomes/lysosomes and making a detour pathway to evade endosomes/lysosomes. On the basis of the findings of this review, we proposed several promising strategies for overcoming endosomal/lysosomal barriers through the smarter and more efficient design of nanodrug delivery systems for future clinical applications.

Background Celastrol (cel) was one of the earliest isolated and identified chemical constituents of Tripterygium wilfordii Hook. f. Based on a cel probe (cel-p) that maintained the bioactivity of the parent compound, the targets of cel in cerebral ischemia–reperfusion (I/R) injury were comprehensively analyzed by a quantitative chemical proteomics method. Methods We constructed an oxygen–glucose deprivation (OGD) model in primary rat cortical neurons and a middle cerebral artery occlusion (MCAO) model in adult rats to detect the direct binding targets of cel in cerebral I/R. By combining various experimental methods, including tandem mass tag (TMT) labeling, mass spectrometry, and cellular thermal shift assay (CETSA), we revealed the targets to which cel directly bound to exert neuroprotective effects. Results We found that cel inhibited the proinflammatory activity of high mobility group protein 1 (HMGB1) by directly binding to it and then blocking the binding of HMGB1 to its inflammatory receptors in the microenvironment of ischemia and hypoxia. In addition, cel rescued neurons from OGD injury in vitro and decreased cerebral infarction in vivo by targeting HSP70 and NF-κB p65. Conclusion Cel exhibited neuroprotective and anti-inflammatory effects by targeting HSP70 and NF-κB p65 and directly binding to HMGB1 in cerebral I/R injury.

Using black soldier fly (Hermetia illucens) larvae in treatment of livestock manure is a promising technology. In this study, high-throughput sequencing was used to analyze the microbial community in chicken manure before and after treatment with H. illucens larvae. In fresh chicken manure, the most abundant bacterial phylum was Firmicutes (55.58%) followed by Bacteroidetes (24.52%) and then Proteobacteria (12.29%). After treatment of the manure with H. illucens larvae for 15 days, the abundance of Firmicutes increased to 97.72% while that of Bacteroidetes and Proteobacteria decreased. Concomitantly, the most abundant genera of fungi in chicken manure changed from Kernia (46.19%) and Microascus (17.22%) to Penicillium (46.82%) and Aspergillus (45.22%). Correlation-network analysis showed the existence of strong and complex correlations between the dominant operational taxonomic units (OUT) of bacteria and fungi. While most of these correlations were positive, three specific genera, namely g_norank_f_Bacillaceae, Penicillium, and Aspergillus exhibited negative correlations with the remaining genera. These three genera were highly abundant in the intestines of H. illucens and in chicken manure treated with H. illucens larvae. Based on 16S rDNA microbiome-function predictions, the metabolic pathways associated with sugars, amino acids, and organic pollutants inside the intestinal tract of H. illucens were enriched versus those of the other three groups. In summary, the treatment of chicken manure with H. illucens larvae significantly reduced the microbial diversity, while strongly increasing organic metabolism in the intestinal bacteria. This technology shows the potential for applications in livestock manure treatment.

Abstract Background: The correlation between the morphological structure of the patellofemoral joint (PFJ) and the severity of knee joint osteoarthritis (KOA) remains uncertain. This study aims to investigate the correlation between the severity of knee joint osteoarthritis and the alignment of patellofemoral and patellar height on radiographs. Methods: This multi-center, retrospective study analyzed the magnetic resonance imaging (MRI) scans and anteroposterior radiographs of 534 adult outpatients with KOA. To evaluate the radiographic severity of KOA, anteroposterior radiographs of the knee and the Kellgren-Lawrence (K-L) grade were used. Knee MRI scans were used to measure the patellar length ratio (PLR), sulcus angle (SA), lateral patellar tilt angle (LPTA), and the distance between tibial tuberosity and trochlear groove (TT-TG). We examined the association between the configuration of the PFJ, arrangement, and harshness of the KOA. Information on participants’ demographics, such as age, sex, side, height, and weight, was collected. A chi-squared test was used for the correlation of radiographic severity of KOA with sex and the affected side. Spearman correlation was used for patellofemoral alignment or morphology and the radiographic severity of lateral KOA. Multiple linear regression models were used for the association between LPTA, SA, TT-TG, and severity of KOA after accounting for demographic variables. Results: The study comprised of 534 patients; of these, 339 (63%) were female. A total of 586 knees were evaluated in this study. Age showed a strong positive correlation with KOA severity (r = 0.516, P <0.01), whereas LPTA showed a strong negative correlation (r = –0.662, P <0.01). Additionally, SA (r = 0.616, P <0.05), and TT-TG showed a strong positive correlation (r = 0.770, P <0.01) with tibiofemoral osteoarthritis (TFOA) severity. Multiple linear regression analysis indicated that knee osteoarthritis severity (β = –2.946, P <0.001) and side (β = –0.839, P = 0.001) was associated with LPTA; knee osteoarthritis severity (β = 5.032, P <0.001) and age (β = –0.095, P <0.001) was associated with SA; knee osteoarthritis severity (β = 2.445, P <0.001), sex (β = –0.326, P = 0.041), body mass index (β = –0.061, P = 0.017) and age (β = –0.025, P <0.001) was associated with TT-TG. Conclusion: Radiographic severity of KOA was positively associated with age, SA, and TT-TG but negatively associated with LPTA.