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Underwater images often suffer from degradation due to scattering and absorption. With the development of artificial intelligence, fully supervised learning-based models have been widely adopted to solve this problem. However, the enhancement performance is susceptible to the quality of the reference images, which is more pronounced in underwater image enhancement tasks because the ground truths are not available. In this paper, we propose a light-enhanced pixel fusion network (LEPF-Net) to solve this problem. Specifically, we first introduce a novel light enhancement block (LEB) based on the residual block (RB) and the light enhancement curve (LE-Curve) to restore the cast color of the images. The RB is adopted to learn and obtain the feature maps from an original input image, and the LE-Curve is used to renovate the color cast of the learned images. To realize the superb detail of the repaired images, which is superior to the reference images, we develop a pixel fusion subnetwork (PF-SubNet) that adopts a pixel attention mechanism (PAM) to eliminate noise from the underwater image. The PAM adapts weight allocation to different levels of a feature map, which leads to an enhancement in the visibility of severely degraded areas. The experimental results show that the proposed LEPF-Net outperforms most of the existing underwater image enhancement methods. Furthermore, among the five classic no-reference image quality assessment (NRIQA) indicators, the enhanced images obtained by LEPF-Net are of higher quality than the ground truths from the UIEB dataset.

Normal-mode splitting (NMS) is an evident signature of strong coupling interaction for observing quantum phenomena such as optomechanical squeezing and entanglement. In the previous literature, optical parametric amplifier (OPA) and coherent feedback are respectively proposed to enhance the NMS. Here, we combine OPA and coherent feedback into one optomechanical system to enhance the NMS. The controllable parameters such as input optical power, OPA gain and phase, coherent feedback strength are varied to observe the NMS variation. Especially, we consider the positive and negative feedback in terms of amplitude reflectivity of the beam splitter for coherent feedback. The NMS appears mostly with the positive coherent feedback rather than the negative. Furthermore, the largest mode separation occurs at an OPA phase of approximately −π/4 rather than zero, since the effective cavity detuning changes the effective intracavity round-trip phase, and therefore changes the OPA amplification/deamplification condition. The results indicate that the interplay between OPA and coherent feedback could enhance the NMS with more controllable parameter freedoms. This scheme provides a promising way to increase the optomechanical coupling strength, thereby has potential applications in the ground state cooling of a mechanical oscillator, preparation of optomechanical quantum states and sensitive detection of a weak force.

Introduction. The global incidence of brain tumors, the most common of which is lower grade glioma (LGG), remains high. Pleckstrin homology domain-containing family A member 4 (PLEKHA4) has been reported to be related to tumor invasion and growth. However, its role and correlation with immunity in LGG remain elusive. Methods. We evaluated the expression pattern, prognostic value, biological functions, and immune effects of PLEKHA4 in LGG. We also analyzed the association between PLEKHA4 levels in different tumors, patient prognosis, and its role in tumor immunity. Depending on the type of research data, we used statistical methods such as Student’s t -tests, Mann–Whitney U tests one-way ANOVA tests Kruskal–Wallis tests Pearson’s or Spearman’s correlation analysis Chi-square and Fisher’s exact tests in this paper. Results and Conclusions. The results revealed that PLEKHA4 levels were markedly elevated in most tumors (such as LGG). High PLEKHA4 levels are associated with poor overall survival (OS), progression-free interval (PFI) rates, and disease-specific survival (DSS) in LGG patients. Cox regression analysis and nomograms showed that PLEKHA4 levels are independent prognostic factors for LGG patients. According to functional enrichment analysis, PLEKHA4 levels in LGG are associated with immune infiltration and immunotherapy. In conclusion, PLEKHA4 is a potential prognostic marker and immunotherapy target for LGG.

Glioma refers to a tumor that is derived from brain glial stem cells or progenitor cells and is the most common primary intracranial tumor. Due to its complex cellular components, as well as the aggressiveness and specificity of the pathogenic site of glioma, most patients with malignant glioma have poor prognoses following surgeries, radiotherapies, and chemotherapies. In recent years, an increasing amount of research has focused on the use of CRISPR/Cas9 gene-editing technology in the treatment of glioma. As an emerging gene-editing technology, CRISPR/Cas9 utilizes the expression of certain functional proteins to repair tissues or treat gene-deficient diseases and could be applied to immunotherapies through the expression of antigens, antibodies, or receptors. In addition, some research also utilized CRISPR/Cas9 to establish tumor models so as to study tumor pathogenesis and screen tumor prognostic targets. This paper mainly discusses the roles of CRISPR/Cas9 in the treatment of glioma patients, the exploration of the pathogenesis of neuroglioma, and the screening targets for clinical prognosis. This paper also raises the future research prospects of CRISPR/Cas9 in glioma, as well as the opportunities and challenges that it will face in clinical treatment in the future.

Umami substances are nutrients to humans, and their synergistic effect is associated with food acceptance. In this study, a new biosensor was developed to detect umami substances, their synergistic effect, and detection kinetics. Porcine taste-bud tissues were used as the sensing element, and the umami substance signals were characterized using an electrochemical workstation. The responses of taste-bud tissue sensors to monosodium L-glutamate (MSG) were compared based on different tongue sites. The interaction law between MSG and receptors in the taste-bud tissues of the three sensors conforms to enzymatic-reaction kinetics, where rectangular hyperbola curves in the Michaelis-Menten equation were followed with fitting coefficients (0.91). However, the taste-bud sensors respond differently to MSG stimuli, with those based on a tip and mediolateral tongue, producing the lowest detection limit of 10

The mirror was one of the most important components of aviation remote sensors. Due to its high specific stiffness and good environmental adaptability, metal material mirror was suitable for application in airborne photoelectric load as the main optical system. In this paper, through the research on the kinematic support form of metal mirror, the flexibility of flexible joint form was optimized, and the design of aperture 190 mirror was carried out, so that the shape accuracy under the action of gravity reaches 1 / 50λ, which better meets the design requirements of aviation photoelectric load.

This paper presents the problem of parallel arc fault in the DC side of a photovoltaic (PV) system. First, an experimental platform for arc fault of a PV system was built to simulate the DC side parallel arc fault in the PV system. By extracting the current waveform at the exit of PV panels, a study was conducted on the characteristics of the current during parallel arc fault. The result of Fourier transform on the current suggests that the high-frequency component of the current mainly concentrates in the frequency range of 126–250 kHz. According to the analysis of arc fault characteristic in time domain and frequency domain, reversal current maximum, modulus maximum, and energy are chosen as the criteria to detect parallel arc fault. And finally, a mixed criterion is proposed to overcome the shortcomings of the above-mentioned criteria and its reliability is verified by experiments. It provides a theoretical basis for the detection of the parallel arc fault in the PV system.

The effects of additives (sucrose, glucose, and sodium chloride) on textural properties of native and annealed corn starch gels were measured using differential scanning calorimetry, X-ray diffraction, scanning electron microscopy, and texture analyzer. Annealing temperature, additive concentration, and pH affected the corn starch gels. Firmness, consistency, cohesiveness, and viscosity values ranged from 20.55 to 43.70 g, 213.67 to 412.00 g/sec, –25.81 to –15.22 g, and –104.21 to –6.73 g/sec, respectively. The eigenvalue of the texture characteristics of annealed corn starch decreased without additives, and increased with additives. Annealing at 55°C had more effect than did annealing at 45°C.

With the development of space technology, the large diameter long-life of the space telescopes became more and more urgent. This paper mainly discussed the feasibility of the space telescope on-orbit maintenance for science unit module. This paper took the WFC3 module of the Hubble space telescope for example. In this paper, the Hubble space telescope was analyzed for on-orbit maintenance. By discuss the installation of the science unit maintenance, the paper way to achieve space telescope in orbit maintenance.

A sensitive and specific method for the determination of bifendate in human plasma was developed, based on high-performance liquid chromatography (HPLC)-mass spectrometry (MS). The samples were extracted from plasma with diethyl ether, followed by separation and evaporation after addition of internal standard diazepam. The residue was reconstituted in methanol and injected into the HPLC-MS. Chromatography was performed on an Inertsil ODS column with a mobile phase consisting of methanol-distilled water (70/30, v/v) at a flow rate of 0.3 mL/min. Quantitative analysis was achieved by MS detection, using a mass spectrometer equipped with an electrospray ionization interface (ESI) and operated in selected ion monitoring (SIM) and positive-ionization mode using target ions at m/z 419 for bifendate and m/z 285 for internal standard, respectively. The linearity was confirmed in the concentration range of 2-200 ng/mL in human plasma and the precision of this assay was not more than 6.79% over the entire concentration range. The method was sensitive and repeatable enough to be used in pharmacokinetic and bioavailability studies.

In the area of grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can provide for high performance for data-intensive applications. In order to overcome I/O bottlenecks and to increase I/O parallelism, data streams need to be parallelized at both the application level and the storage device level. In this paper, we propose a novel peer-to-peer (P2P) storage architecture for MPI applications on grid systems. We first present an analytic model of our P2P storage architecture. Next, we describe a profile-guided data allocation algorithm that can increase the degree of I/O parallelism present in the system, as well as to balance I/O in a heterogeneous system. We present results on an actual implementation. Our experimental results show that by partitioning data across all available storage devices and carefully tuning I/O workloads in the grid system, our peer-to-peer scheme can deliver scalable high performance I/O that can address I/O-intensive workloads

In the field of high performance computing there is a growing need to process large, complex datasets. Many of these applications are file-intensive workloads, performing a large number of reads from and writes to a small number of files. When executing these workloads on cluster-based systems, performance cannot scale by simply increasing the number of compute nodes. To effectively exploit parallel resources we need to parallelize file I/O. The potential impact of exploiting parallel I/O grows as the gap between CPU and disk speeds continues to increase.While parallel I/O middleware systems (e.g., MPI I/O) provide users with environments where large datasets can be shared among multiple distributed processes, the performance of file-intensive applications depends heavily on how the data is accessed and where the data is physically located on disk. I/O operations need to be parallelized both at the application level (using middleware) and at the disk level (using partitioning).In this paper, we present a new profile-guided greedy partitioning algorithm to parallelize I/O access for file-intensive applications run on cluster-based systems. We are using MPI and MPI I/O to provide parallelization at the application level. We utilize I/O profiling to capture relevant information about the I/O stream. We then use these profiles to guide file partitioning across multiple disks to significantly improve I/O throughput.