Daytime temperature is sensed by phytochrome B in Arabidopsis through a transcriptional activator HEMERA.

Ambient temperature sensing by phytochrome B (PHYB) in Arabidopsis is thought to operate mainly at night. Here we show that PHYB plays an equally critical role in temperature sensing during the daytime. In daytime thermosensing, PHYB signals primarily through the temperature-responsive transcriptional regulator PIF4, which requires the transcriptional activator HEMERA (HMR). HMR does not regulate PIF4 transcription, instead, it interacts directly with PIF4, to activate the thermoresponsive growth-relevant genes and promote warm-temperature-dependent PIF4 accumulation. A missense allele hmr-22, which carries a loss-of-function D516N mutation in HMR's transcriptional activation domain, fails to induce the thermoresponsive genes and PIF4 accumulation. Both defects of hmr-22 could be rescued by expressing a HMR22 mutant protein fused with the transcriptional activation domain of VP16, suggesting a causal relationship between HMR-mediated activation of PIF4 target-genes and PIF4 accumulation. Together, this study reveals a daytime PHYB-mediated thermosensing mechanism, in which HMR acts as a necessary activator for PIF4-dependent induction of temperature-responsive genes and PIF4 accumulation

Abnormal Event Detection Based on Deep Autoencoder Fusing Optical Flow

International audienceAs an important research topic in computer vision, abnormal detection has gained more and more attention. In order to detect abnormal events effectively, we propose a novel method using optical flow and deep autoencoder. In our model, optical flow of the original video sequence is calculated and visualized as optical flow image, which is then fed into a deep autoencoder. Then the deep autoencoder extract features from the training samples which are compressed to low dimension vectors. Finally, the normal and abnormal samples gather separately in the coordinate axis. In the evaluation, we show that our approach outperforms the existing methods in different scenes, in terms of accuracy

Conservation and reintroduction of the rare and endangered orchid Paphiopedilum armeniacum

Paphiopedilum armeniacum is a rare and endangered lady’s slipper orchid in China. It is distributed around the mid-elevations of the Nu Mountains in southwest China. Due to over-harvest, habitat loss, and degradation, wild populations of P. armeniacum has declined drastically. A combination of approaches involving biotechnology, habitat restoration, and interspecific relationship reconstruction was used to carry out the reintroduction of the species. Integrated conservation program for this species included in-situ protection, ex-situ conservation, and reintroduction, which helped to rebuild a harmonious relationship between local farmers and P. armeniacum. The sustainable utilization of native plant resources in poor areas can promote regional sustainable development which is compatible with species protection

Generative Neural Networks for Anomaly Detection in Crowded Scenes

International audienc

Decreased Functional Connectivity of Insular Cortex in Drug Naive First Episode Schizophrenia: In Relation to Symptom Severity

BACKGROUND: This study was to examine the insular cortical functional connectivity in drug naive patients with first episode schizophrenia and to explore the relationship between the connectivity and the severity of clinical symptoms. METHODS: Thirty-seven drug naive patients with schizophrenia and 25 healthy controls were enrolled in this study. A seed-based approach was used to analyze the resting-state functional imaging data. Insular cortical connectivity maps were bilaterally extracted for group comparison and validated by voxel-based morphometry (VBM) analysis. Clinical symptoms were measured using the Positive and Negative Syndrome Scale (PANSS). RESULTS: There were significant reductions in the right insular cortical connectivity with the Heschl\u27s gyrus, anterior cingulate cortex (ACC), and caudate (p\u27s \u3c 0.001) in the patient group compared with the healthy control (HC) group. Reduced right insular cortical connectivity with the Heschl\u27s gyrus was further confirmed in the VBM analysis (FDR corrected p \u3c 0.05). Within the patient group, there was a significant positive relationship between the right insula-Heschl\u27s connectivity and PANSS general psychopathology scores (r = 0.384, p = 0.019). CONCLUSION: Reduced insula-Heschl\u27s functional connectivity is present in drug naive patients with first episode schizophrenia, which might be related to the manifestation of clinical symptoms

Study on fluorescence characteristics of the Ho 3+ :ZBLAN fiber under ~640 nm excitation

Abstract(#br)We investigated the absorption and emission characteristics of the Ho 3+ :ZBLAN fiber under ~640 nm excitation. Based on the Judd-Ofelt theory, a detailed spectroscopic analysis on excited states 5 I 6 and 5 I 7 of the Ho 3+ -ion was performed. The population dynamics was conducted by using the rate equation method, and a set of analytical expressions for population densities of various levels were obtained at steady state. Moreover, the fluorescence intensities of the 5 S 2 , 5 F 4 → 5 I 7 , 5 I 8 and 5 I 6 → 5 I 7 , 5 I 8 and 5 I 7 → 5 I 8 transitions were measured in different pumping powers. The simulated and experimental results are quite consistent. This work could provide the spectral information for optimal design of the visible oscillations in the Ho 3+ :ZBLAN fiber excited at ~640 nm

Opposing associations of Internet Use Disorder symptom domains with structural and functional organization of the striatum: A dimensional neuroimaging approach

Background: Accumulating evidence suggests brain structural and functional alterations in Internet Use Disorder (IUD). However, conclusions are strongly limited due to the retrospective case-control design of the studies, small samples, and the focus on general rather than symptom-specific approaches. Methods: We here employed a dimensional multi-methodical MRI-neuroimaging design in a final sample of n 5 203 subjects to examine associations between levels of IUD and its symptom-dimensions (loss of control/time management, craving/social problems) with brain structure, resting state and taskbased (pain empathy, affective go/no-go) brain function. Results: Although the present sample covered the entire range of IUD, including normal, problematic as well as pathological levels, general IUD symptom load was not associated with brain structural or functional alterations. However, the symptom-dimensions exhibited opposing associations with the intrinsic and structural organization of the brain, such that loss of control/time management exhibited negative associations with intrinsic striatal networks and hippocampal volume, while craving/social problems exhibited a positive association with intrinsic striatal networks and caudate volume. Conclusions: Our findings provided the first evidence for IUD symptom-domain specific associations with progressive alterations in the intrinsic structural and functional organization of the brain, particularly of striatal systems involved in reward, habitual and cognitive control processes

Transcriptome Phase Distribution Analysis Reveals Diurnal Regulated Biological Processes and Key Pathways in Rice Flag Leaves and Seedling Leaves

Plant diurnal oscillation is a 24-hour period based variation. The correlation between diurnal genes and biological pathways was widely revealed by microarray analysis in different species. Rice (Oryza sativa) is the major food staple for about half of the world's population. The rice flag leaf is essential in providing photosynthates to the grain filling. However, there is still no comprehensive view about the diurnal transcriptome for rice leaves. In this study, we applied rice microarray to monitor the rhythmically expressed genes in rice seedling and flag leaves. We developed a new computational analysis approach and identified 6,266 (10.96%) diurnal probe sets in seedling leaves, 13,773 (24.08%) diurnal probe sets in flag leaves. About 65% of overall transcription factors were identified as flag leaf preferred. In seedling leaves, the peak of phase distribution was from 2:00am to 4:00am, whereas in flag leaves, the peak was from 8:00pm to 2:00am. The diurnal phase distribution analysis of gene ontology (GO) and cis-element enrichment indicated that, some important processes were waken by the light, such as photosynthesis and abiotic stimulus, while some genes related to the nuclear and ribosome involved processes were active mostly during the switch time of light to dark. The starch and sucrose metabolism pathway genes also showed diurnal phase. We conducted comparison analysis between Arabidopsis and rice leaf transcriptome throughout the diurnal cycle. In summary, our analysis approach is feasible for relatively unbiased identification of diurnal transcripts, efficiently detecting some special periodic patterns with non-sinusoidal periodic patterns. Compared to the rice flag leaves, the gene transcription levels of seedling leaves were relatively limited to the diurnal rhythm. Our comprehensive microarray analysis of seedling and flag leaves of rice provided an overview of the rice diurnal transcriptome and indicated some diurnal regulated biological processes and key functional pathways in rice