A Dilated Inception Network for Visual Saliency Prediction

Recently, with the advent of deep convolutional neural networks (DCNN), the improvements in visual saliency prediction research are impressive. One possible direction to approach the next improvement is to fully characterize the multi-scale saliency-influential factors with a computationally-friendly module in DCNN architectures. In this work, we proposed an end-to-end dilated inception network (DINet) for visual saliency prediction. It captures multi-scale contextual features effectively with very limited extra parameters. Instead of utilizing parallel standard convolutions with different kernel sizes as the existing inception module, our proposed dilated inception module (DIM) uses parallel dilated convolutions with different dilation rates which can significantly reduce the computation load while enriching the diversity of receptive fields in feature maps. Moreover, the performance of our saliency model is further improved by using a set of linear normalization-based probability distribution distance metrics as loss functions. As such, we can formulate saliency prediction as a probability distribution prediction task for global saliency inference instead of a typical pixel-wise regression problem. Experimental results on several challenging saliency benchmark datasets demonstrate that our DINet with proposed loss functions can achieve state-of-the-art performance with shorter inference time.Comment: Accepted by IEEE Transactions on Multimedia. The source codes are available at https://github.com/ysyscool/DINe

ROR-γ drives androgen receptor expression and represents a therapeutic target in castration-resistant prostate cancer.

The androgen receptor (AR) is overexpressed and hyperactivated in human castration-resistant prostate cancer (CRPC). However, the determinants of AR overexpression in CRPC are poorly defined. Here we show that retinoic acid receptor-related orphan receptor γ (ROR-γ) is overexpressed and amplified in metastatic CRPC tumors, and that ROR-γ drives AR expression in the tumors. ROR-γ recruits nuclear receptor coactivator 1 and 3 (NCOA1 and NCOA3, also known as SRC-1 and SRC-3) to an AR-ROR response element (RORE) to stimulate AR gene transcription. ROR-γ antagonists suppress the expression of both AR and its variant AR-V7 in prostate cancer (PCa) cell lines and tumors. ROR-γ antagonists also markedly diminish genome-wide AR binding, H3K27ac abundance and expression of the AR target gene network. Finally, ROR-γ antagonists suppressed tumor growth in multiple AR-expressing, but not AR-negative, xenograft PCa models, and they effectively sensitized CRPC tumors to enzalutamide, without overt toxicity, in mice. Taken together, these results establish ROR-γ as a key player in CRPC by acting upstream of AR and as a potential therapeutic target for advanced PCa

Global land surface temperature influenced by vegetation cover and PM2.5 from 2001 to 2016

Land surface temperature (LST) is an important parameter to evaluate environmental changes. In this paper, time series analysis was conducted to estimate the interannual variations in global LST from 2001 to 2016 based on moderate resolution imaging spectroradiometer (MODIS) LST, and normalized difference vegetation index (NDVI) products and fine particulate matter (PM2.5) data from the Atmospheric Composition Analysis Group. The results showed that LST, seasonally integrated normalized difference vegetation index (SINDVI), and PM2.5 increased by 0.17 K, 0.04, and 1.02 �g/m3 in the period of 2001–2016, respectively. During the past 16 years, LST showed an increasing trend in most areas, with two peaks of 1.58 K and 1.85 K at 72�N and 48�S, respectively. Marked warming also appeared in the Arctic. On the contrary, remarkable decrease in LST occurred in Antarctic. In most parts of the world, LST was affected by the variation in vegetation cover and air pollutant, which can be detected by the satellite. In the Northern Hemisphere, positive relations between SINDVI and LST were found; however, in the Southern Hemisphere, negative correlations were detected. The impact of PM2.5 on LST was more complex. On the whole, LST increased with a small increase in PM2.5 concentrations but decreased with a marked increase in PM2.5. The study provides insights on the complex relationship between vegetation cover, air pollution, and land surface temperature

Genetic Control of RNA Editing in Neurodegenerative Disease

A-to-I RNA editing diversifies human transcriptome to confer its functional effects on the downstream genes or regulations, potentially involving in neurodegenerative pathogenesis. Its variabilities are attributed to multiple regulators, including the key factor of genetic variants. To comprehensively investigate the potentials of neurodegenerative disease-susceptibility variants from the view of A-to-I RNA editing, we analyzed matched genetic and transcriptomic data of 1596 samples across nine brain tissues and whole blood from two large consortiums, Accelerating Medicines Partnership-Alzheimer\u27s Disease and Parkinson\u27s Progression Markers Initiative. The large-scale and genome-wide identification of 95 198 RNA editing quantitative trait loci revealed the preferred genetic effects on adjacent editing events. Furthermore, to explore the underlying mechanisms of the genetic controls of A-to-I RNA editing, several top RNA-binding proteins were pointed out, such as EIF4A3, U2AF2, NOP58, FBL, NOP56 and DHX9, since their regulations on multiple RNA-editing events were probably interfered by these genetic variants. Moreover, these variants may also contribute to the variability of other molecular phenotypes associated with RNA editing, including the functions of 3 proteins, expressions of 277 genes and splicing of 449 events. All the analyses results shown in NeuroEdQTL (https://relab.xidian.edu.cn/NeuroEdQTL/) constituted a unique resource for the understanding of neurodegenerative pathogenesis from genotypes to phenotypes related to A-to-I RNA editing

Mouse models of nesprin-related diseases

Nesprins (nuclear envelope spectrin repeat proteins) are a family of multi-isomeric scaffolding proteins. Nesprins form the LInker of Nucleoskeleton-and-Cytoskeleton (LINC) complex with SUN (Sad1p/UNC84) domain-containing proteins at the nuclear envelope, in association with lamin A/C and emerin, linking the nucleoskeleton to the cytoskeleton. The LINC complex serves as both a physical linker between the nuclear lamina and the cytoskeleton and a mechanosensor. The LINC complex has a broad range of functions and is involved in maintaining nuclear architecture, nuclear positioning and migration, and also modulating gene expression. Over 80 disease-related variants have been identified in SYNE-1/2 (nesprin-1/2) genes, which result in muscular or central nervous system disorders including autosomal dominant Emery–Dreifuss muscular dystrophy, dilated cardiomyopathy and autosomal recessive cerebellar ataxia type 1. To date, 17 different nesprin mouse lines have been established to mimic these nesprin-related human diseases, which have provided valuable insights into the roles of nesprin and its scaffold LINC complex in a tissue-specific manner. In this review, we summarise the existing nesprin mouse models, compare their phenotypes and discuss the potential mechanisms underlying nesprin-associated diseases

CBP/p300 bromodomain: new promising epigenetic target

CREB (cAMP responsive element binding protein) binding protein (CBP) and adenovirus E1A-associated 300 kDa protein (p300) are histone acetyltransferases, which are necessary for multiple cellular processes. Thus, CBP/p300 are promising potential antitumor targets. To date, despite various small molecule inhibitors of CBP/p300 bromodomain (BRD) having been reported, no specific inhibitor was approved by U.S. Food and Drug Administration (FDA). In this review, we described the discovery, optimization, binding mode evaluation, selectivity and potency evaluation, and therapeutic opportunities of our CBP/p300 bromodomain inhibitors, aiming to inspire new inhibitor design and advance drug discovery research in this field. One video presents the development of CBP/p300 bromodomain inhibitors

Investigating key elements of digital resilience among nursing undergraduates: a qualitative study

ObjectiveTo explore key elements of digital resilience in nursing undergraduates, providing a foundation for comprehensive assessment and training during medical colleges’ digital transformation.MethodsConducted semi-structured interviews with 20 nursing undergraduates experienced in online learning or digital resource use from March–May 2024, utilizing descriptive qualitative research and directed content analysis.ResultsIdentified five themes with nineteen sub-themes: understanding digital threats (information overload, decreased learning engagement, impaired social interaction, digital technology failures, digital security risks), knowing coping strategies (seeking teacher support, seeking peer support, seeking social support), learning knowledge and skills (nursing expertise, autonomous learning ability, digital technology application skills, digital learning skills, digital communication skills), overcoming digital threats stress (psychological resilience, learning perseverance), and adapt to digital environment (self-regulation and motivational efficacy, online learning self-efficacy, digital skills self-efficacy, social interaction self-efficacy).ConclusionNursing undergraduates’ digital resilience is multifaceted. Medical colleges should strengthen these aspects to empower students to confidently navigate digital risks and adapt to educational and healthcare digital transformation

Analysis of fertility characteristics and trends of registered population in a neighborhood in Jing’ an District,Shanghai from 2013 to 2022

ObjectiveTo analyze the fertility characteristics of the registered population in a neighborhood in Jing’an District, Shanghai from 2013 to 2022, and to provide a reference for population development planning and allocation of public health resources.MethodsData on newborns and puerperae registered in the neighborhood were collected through the Shanghai Birth Medical Information System and Public Security Department information system. Statistical analysis was conducted using Excel 2010, and the Joinpoint regression model was used to describe the changes.ResultsFrom 2013 to 2022, the crude birth rate, general fertility rate, and total fertility rate showed a declining trend, with average annual percent change (AAPC) values of -7.62%, -6.99%, and -4.54%, respectively. The average age of first childbirth and the age of childbearing among women gradually increased, with AAPC values of 1.24% and 1.28%, respectively. In the past 10 years, the total number of newborns showed a downward trend, with an AAPC value of -6.15%. After the implementation of the two-child policy, the proportion of second children showed an increasing trend, with an AAPC value of 7.37%.ConclusionThe fertility level of the population in the neighborhood is declining. The two-child policy has not significantly improved fertility rates, and the age of childbearing in women continues to rise. Diverse measures are needed to encourage childbirths and promote healthy births