FsaNet: Frequency Self-Attention for Semantic Segmentation.

Considering the spectral properties of images, we propose a new self-attention mechanism with highly reduced computational complexity, up to a linear rate. To better preserve edges while promoting similarity within objects, we propose individualized processes over different frequency bands. In particular, we study a case where the process is merely over low-frequency components.

A Mechanism-Based Automatic Fault Diagnosis Method for Gearboxes.

Convenient and fast fault diagnosis is the key to improving the service safety and maintenance efficiency of gearboxes. However, the environment and working conditions under complex service conditions are variable, and there is a lack of fault samples in engineering applications. These factors lead to difficulties in intelligent diagnosis methods based on machine learning, while traditional mechanism-based fault diagnosis requires high expertise and long time periods for the manual analysis of data.

Bacteria in the injection water differently impacts the bacterial communities of production wells in high-temperature petroleum reservoirs.

Water flooding is widely used for oil recovery. However, how the introduction of bacteria via water flooding affects the subsurface ecosystem remains unknown. In the present study, the distinct bacterial communities of an injection well and six adjacent production wells were revealed using denaturing gradient gel electrophoresis (DGGE) and pyrosequencing.

Important biology events and pathways in Brucella infection and implications for novel antibiotic drug targets.

Brucellosis caused by Brucella spp. is a common zoonosis in many parts of the world. Humans are infected through contact with infected animals or their dirty products.

Brucella virulence mechanisms and implications in novel vaccines and drugs.

Brucellosis, an infection caused by Brucella spp., is a common zoonosis in many parts of world. Human chronic infection is successfully established through contact with infected animals or their dirty products.

Complete genome sequence of Brucella canis strain 118, a strain isolated from canine.

Brucella canis infects several species of animals, and canine is the preferred host. Genome sequences of strains from different hosts are valuable for comparative analysis of host adaptation and microevolution. Here, we report the genome sequence of Brucella canis strain 118, a strain isolated from canine.

Complete genome sequence of Brucella abortus 134, a biovar 1 strain isolated from human.

Brucella abortus is one of the common pathogens causing brucellosis in China. Here, we report the genome sequence of B. abortus strain 134, a strain isolated from a human patient and belonging to biovar 1, the most highly represented biovar among B.

Multi-contrast focal modulation microscopy for in vivo imaging of thick biological tissues.

In vivo high resolution imaging of biological tissues is desirable for a wide range of biomedical applications. Recently focal modulation microscopy (FMM) has been developed and an imaging depth comparable to multi-photon microscopy (MPM) and optical coherence microscopy (OCM) has been achieved. Here we report the first focal modulation microscope that is capable of performing real-time fluorescence and scattering imaging simultaneously on thick biological tissues.

Comparison of microbial community compositions of injection and production well samples in a long-term water-flooded petroleum reservoir.

Water flooding plays an important role in recovering oil from depleted petroleum reservoirs. Exactly how the microbial communities of production wells are affected by microorganisms introduced with injected water has previously not been adequately studied. Using denaturing gradient gel electrophoresis (DGGE) approach and 16S rRNA gene clone library analysis, the comparison of microbial communities is carried out between one injection water and two production waters collected from a working block of the water-flooded Gudao petroleum reservoir located in the Yellow River Delta.

Considerations of aperture configuration in focal modulation microscopy from the standpoint of modulation depth.

Focal modulation microscopy (FMM) is a simple, yet efficient, method to preserve image quality in terms of signal-to-background ratio by selecting ballistic photons for image formation. The aim of this paper is to investigate the effect of the various aperture configurations of the spatial phase modulator on the modulation depth of the FMM signal. The definition of modulation depth in FMM and its calculation method are introduced.

[Application of PCR-dGGE in selective activation of stratal bacteria].

With the development of molecular biology, the research on microflora in the environment is accelerated and a new research method for oil reservoir microflora is provided. Based on the methods of PCR-DGGE, the change of the structure of dominant microbial population in selectiveactivation of stratal bacteria was studied. During activation, the change of samples' DGGE bandings under different pressure conditions (1 MPa and 10 MPa) was analyzed, the PCR alignment analysis of bacteria was studied, the dominant bacteria at different periods were explored, the phylogenetic tree of dominant DGGE banding sequence was build, and the groups of the main indigenous bacteria was also analyzed.

[Denature gradient gel electrophoresis of stratal bacteria activation in oilfield under different pressure conditions].

Objective: To study the structure change of dominant microbial population during activation of stratal microflora under atmospheric pressure (1 MPa) and higher pressure (10 MPa) conditions.

Method: The water sample was from Zhan 3 x 24 well produced water in Shengli Oilfield. We activated the bacteria in the water sample under atmospheric pressure and higher pressure, and collected samples at different time intervals.