MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification

Vision Transformer (ViT) models have recently emerged as powerful and versatile models for various visual tasks. Recently, a work called PMF has achieved promising results in few-shot image classification by utilizing pre-trained vision transformer models. However, PMF employs full fine-tuning for learning the downstream tasks, leading to significant overfitting and storage issues, especially in the remote sensing domain. In order to tackle these issues, we turn to the recently proposed parameter-efficient tuning methods, such as VPT, which updates only the newly added prompt parameters while keeping the pre-trained backbone frozen. Inspired by VPT, we propose the Meta Visual Prompt Tuning (MVP) method. Specifically, we integrate the VPT method into the meta-learning framework and tailor it to the remote sensing domain, resulting in an efficient framework for Few-Shot Remote Sensing Scene Classification (FS-RSSC). Furthermore, we introduce a novel data augmentation strategy based on patch embedding recombination to enhance the representation and diversity of scenes for classification purposes. Experiment results on the FS-RSSC benchmark demonstrate the superior performance of the proposed MVP over existing methods in various settings, such as various-way-various-shot, various-way-one-shot, and cross-domain adaptation.Comment: SUBMIT TO IEEE TRANSACTION

Direct reprogramming of induced neural progenitors: a new promising strategy for AD treatment.

Alzheimer\u27s disease (AD) is a prominent form of dementia, characterized by aggregation of the amyloid β-peptide (Aβ) plaques and neurofibrillary tangles, loss of synapses and neurons, and degeneration of cognitive functions. Currently, although a variety of medications can relieve some of the symptoms, there is no cure for AD. Recent breakthroughs in the stem cell field provide promising strategies for AD treatment. Stem cells including embryonic stem cells (ESCs), neural stem cells (NSCs), mesenchymal stem cells (MSCs), and induced pluripotent stem cells (iPSCs) are potentials for AD treatment. However, the limitation of cell sources, safety issues, and ethical issues restrict their applications in AD. Recently, the direct reprogramming of induced neural progenitor cells (iNPCs) has shed light on the treatment of AD. In this review, we will discuss the latest progress, challenges, and potential applications of direct reprogramming in AD treatment

Folate, Vitamin B6 and Vitamin B12 Intake in Relation to Hyperuricemia

To assess the association between intake of folate, vitamin B6, and vitamin B12 with hyperuricemia (HU) among adults from the United States (US), we extracted relevant data from 24,975 US adults aged 20–85 years from the National Health and Nutrition Examination Survey (NHANES) in 2001–2014. All dietary intake was evaluated by 24-h dietary recalls. Multivariable logistic regression analysis was performed to explore the associations after adjustment for confounders. Compared to the lowest quintile (Q1), for males, adjusted odds ratios (ORs) of HU in Q2 to Q5 of folate (dietary folate equivalent, DFE) intake were 0.84 (95% CI, 0.73–0.96), 0.84 (0.73–0.97), 0.72 (0.62–0.84), and 0.64 (0.53–0.77), respectively (p for trend <0.0001). In females, adjusted ORs in Q2 to Q4 of folate (DFE) intake were 0.84 (95% CI, 0.71–0.99), 0.81 (0.68–0.96), and 0.82 (0.68–0.99), with a p for trend of 0.1475. Our findings indicated the intakes of total folate, folic acid, food folate, folate (DFE), vitamin B12, but not vitamin B6, were inversely related to the risk of HU in males. A lower risk of HU with higher intakes of total folate, food folate, and folate (DFE) was found in females, but with no association between intakes of folic acid, vitamin B6, B12, and the risk of HU for females

Dietary Magnesium Intake and Hyperuricemia among US Adults

To assess the association between dietary magnesium intake and hyperuricemia in United States (US) adults, we extracted 26,796 US adults aged 20–85 years from the National Health and Nutrition Examination Survey (NHANES) in 2001–2014. All dietary intake was measured through 24 h dietary recall method. Multivariable logistic regression analysis was performed to investigate the association between magnesium intake and hyperuricemia after adjusting for several important confounding variables. When compared to the lowest quintile (Q1), for male, adjusted odds ratios (ORs) of hyperuricemia in the second quintile (Q2) to the fifth quintile (Q5) of the magnesium intake were 0.83 (95% CI: 0.72–0.95), 0.74 (0.64–0.85), 0.78 (0.67–0.90), and 0.70 (0.58–0.84, p for trend = 0.0003), respectively. For female, OR was 0.75 (0.62–0.90) in the fourth quintile (Q4) (p for trend = 0.0242). As compared to Q4 of magnesium intake (contains recommended amount), the relative odds of hyperuricemia were increased by 1.29 times in Q1 (OR = 1.29, 1.11–1.50) in male. The ORs were 1.33 (1.11–1.61) in Q1, 1.27 (1.07–1.50) in Q2 in female. Our results indicated that increased magnesium intake was associated with decreased hyperuricemia risk. It also indicated the importance of recommended dietary allowance (RDA) of magnesium and the potential function of magnesium intake in the prevention of hyperuricemia

The association between sarcopenia and incident chronic lung disease in the general population: A longitudinal study based on CHARLS data

Background: Data regarding the association of sarcopenia with chronic lung disease (CLD) has led to inconclusive results. The main goal of this research was to investigate the association between sarcopenia and CLD in middle-aged and elderly individuals in China. Methods: The study sample consisted of 11,077 individuals without CLD at baseline chosen from the China Health and Retirement Longitudinal Study (CHARLS) data from 2015, followed up until 2018. Sarcopenia was identified utilizing the criteria set by the Asian Working Group on Sarcopenia (AWGS 2019) in 2019. Individuals were categorized into no-sarcopenia, possible-sarcopenia, and sarcopenia groups. The outcome of the study was considered to be incident CLD, which included chronic bronchitis, emphysema, pulmonary heart disease, and asthma. The association between sarcopenia and the risk of CLD was also examined by employing weighted Cox proportional hazard regression models. Results: A total of 356 (3.20 %) participants developed CLD during the 3.6-year follow-up period. The cumulative incidence of CLD in the no-sarcopenia, possible-sarcopenia, and sarcopenia groups was 2.80 % (230/8222), 4.37 % (55/1260), and 4.45 % (71/1595), respectively. Individuals with possible sarcopenia {hazard ratio [HR] [95 % confidence interval (CI)]: 1.48 [1.04–2.09]} and sarcopenia [HR (95 % CI): 1.68 (1.12–2.51)] demonstrated a considerably high risk of developing CLD compared to individuals in the no-sarcopenia group. Moreover, individuals diagnosed with sarcopenia, as per the criteria established by the European Working Group on Sarcopenia in Older People (EWGSOP) 2018, were at considerably high risk for developing CLD compared to those in the no-sarcopenia group. Conclusion: This research involving adult Chinese individuals demonstrated a significant association between, possible sarcopenia and sarcopenia with an elevated risk of incident CLD, thereby emphasizing the importance of monitoring respiratory health in this population. Key points: Question: Whether muscle mass and sarcopenia are associated with the development of chronic lung disease (CLD) in Asian middle-aged and elderly individuals.Findings: This longitudinal study encompassing 11,077 adults aged ≥45 years from the China Health and Retirement Longitudinal Study (CHARLS) data with 3.6 years of follow-up revealed a positive association between sarcopenia at baseline and incidence of CLD.Meaning: The findings suggest that possible sarcopenia and sarcopenia are linked to the development of CLD. Consequently, middle-aged and elderly individuals with possible sarcopenia and sarcopenia can be considered vulnerable regarding the primary prevention strategies for CLD

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

The feasibility of using hyperspectral imaging with convolutional neural network (CNN) to identify rice seed varieties was studied. Hyperspectral images of 4 rice seed varieties at two different spectral ranges (380–1030 nm and 874–1734 nm) were acquired. The spectral data at the ranges of 441–948 nm (Spectral range 1) and 975–1646 nm (Spectral range 2) were extracted. K nearest neighbors (KNN), support vector machine (SVM) and CNN models were built using different number of training samples (100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1500, 2000, 2500 and 3000). KNN, SVM and CNN models in the Spectral range 2 performed slightly better than those in the Spectral range 1. The model performances improved with the increase in the number of training samples. The improvements were not significant when the number of training samples was large. CNN model performed better than the corresponding KNN and SVM models in most cases, which indicated the effectiveness of using CNN to analyze spectral data. The results of this study showed that CNN could be adopted in spectral data analysis with promising results. More varieties of rice need to be studied in future research to extend the use of CNNs in spectral data analysis

Fast and efficient synthesis of SSZ-13 by interzeolite conversion of Zeolite Beta and Zeolite L

CERVOXY COLLInternational audienc

Expanding the synthesis field of high silica zeolites

International audienceAluminosilicate zeolites are synthesized under hydrothermal conditions in basic/alkaline medium in the pH range between 9 and 14. Here we report the synthesis of MFI‐type zeolite in acidic medium. The critical parameter determining the zeolite formation in acidic medium was found to be the isoelectric point (IEP) of gel particles. MFI‐type zeolite was synthesized above the isoelectric point of the employed silica source, where the silica species exhibit a negative charge and the paradigm of zeolite formation based on the electros tatic interaction with the posit iv ely charged template retained. No zeolite formation is observed below the isoelectric point of silica. The impact of aluminum on the zeolite formation is also studied. The results of this study will serve to extend the zeolite synthesis field of high silica zeolites to the acidic medium and thus open new opportunities to control the zeolite properties

Dynamic Compressive Mechanical Property Characteristics and Fractal Dimension Applications of Coal-Bearing Mudstone at Real-Time Temperatures

Coal-bearing rocks are inevitably exposed to high temperatures and impacts (rapid dynamic load action) during deep-earth resource extraction, necessitating the study of their mechanical properties under such conditions. This paper reports on dynamic compression tests conducted on coal-bearing mudstone specimens at real-time temperatures (the temperature of the rock remains constant throughout the impact process) ranging from 25 °C to 400 °C using a temperature Hopkinson (T-SHPB) test apparatus developed in-house. The objective is to analyze the relationship between mechanical properties and the fractal dimension of fractured fragments and to explore the mechanical response of coal-bearing mudstone specimens to the combined effects of temperature and impact using macroscopic fracture characteristics. The study found that the peak stress and dynamic elastic modulus initially increased and then decreased with increasing temperature, increasing in the 25–150 °C range and monotonically decreasing in the 150–400 °C range. Based on the distribution coefficients and fractal dimensions of the fractured fragments, it was found that the degree of damage of coal-bearing mudstone shows a trend of an initial decrease and then an increase with increasing temperature. In the temperature range of 25–150 °C, the expansion of clay minerals within the mudstone filled the voids between the skeletal particles, resulting in densification and decreased damage. In the temperature range of 150–400 °C, thermal stresses increased the internal fractures and reduced the overall strength of the mudstone, resulting in increased damage. Negative correlations between fractal dimensions, the modulus of elasticity, and peak stress could be used to predict rock properties in engineering

Binder-free preparation of ZSM-5@silica beads and their use for organic pollutant removal

International audienc