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Background Cuproptosis induced by FDX1 is a newly discovered mechanism regulating cell death. However, the role of FDX1 in the pathogenesis of colon adenocarcinoma (COAD) remains to be studied. Methods FDX1 expression was analyzed with The Cancer Genome Atlas (TCGA) database and Human Protein Atlas (HPA) database. Association between FDX1 expression and COAD prognosis was investigated via the Kaplan–Meier (KM) survival curve. The differentially expressed genes (DEGs) of FDX1 were screened with R packages and the PPI were constructed via STRING database. Cytoscape software was used to detect the most profound modules in the PPIs network. CancerSEA database was used to analyze the effect of FDX1 expression levels on different functional status of COAD cells. The relationship between FDX1 expression and immune infiltration of COAD was analyzed by TIMER2.0 database. The COAD patients with high expression of FDX1 by Western blot, and the levels of immune infiltration were measured by flow cytometry. Results FDX1 was low expressed in most cancers, such as BRCA, KICH, and COAD. The overall survival (OS) and disease-specific survival (DSS) of COAD with high FDX1 expression were better than that of the low expression group. GO-KEGG enrichment analysis revealed that FDX1 and its co-expressed genes played an important role in the pathogenesis of COAD. Moreover, FDX1 expression in COAD were positively associated with “quiescence” and “inflammation” but negatively correlated with “invasion”. FDX1 expression was positively correlated with infiltration levels of CD8+ T cells, NK cells, and neutrophils. Oppositely, FDX1 expression was negatively correlated with that of CD4+ T cells and cancer-associated fibroblasts (CAFs). Finally, 6 COAD patients with high expression of FDX1 were screened, and the proportion of CD8+ T cells in cancer tissues of these patients was significantly higher than that in paracancerous, while the CD4+ T cells presented the opposite pattern. Conclusion FDX1 plays a role in inducing cuproptosis and modulating tumor immunity, which could be considered as potential therapeutic targets in COAD.

Objective. To explore the clinical value of the gastric ultrasonic filling method in evaluating the condition of patients with gastric tumors and guiding the selection of treatment methods, provide data support for clinical gastric filling ultrasonography in the evaluation of gastric cancer patients, and provide the basis for the choice of surgical treatment. Methods. This study retrospectively analyzed 50 patients with gastric cancer treated in our hospital from April 2017 to January 2022. All 50 patients were examined by the gastric ultrasound filling method. The TNM staging results of gastric cancer were analyzed with the results of gastroscopic biopsy or postoperative pathological examination as the diagnostic gold standard. Results. The ultrasonic detection rate of 50 patients with gastric cancer was 94.00% (47/50). Among them, 3 cases missed diagnosis were of early intramucosal carcinoma, which were only diagnosed as erosive gastritis. 1 case was located in the gastric body, and the other 2 cases were located in the gastric antrum. Ultrasound assessment of gastric mucosal thickness in T1-T2 stage was 9.8 mm, which was significantly lower than that in T3-T4 stage, which was 17.0 mm ( p p

Brain-derived neurotrophic factor (BDNF) provides neuroprotective effects towards therapeutic cerebral ischemia-reperfusion (I/R) injury. This view has been proposed by more and more evidence. However, due to the lack of permeability of the blood-brain barrier (BBB) as well as the brief half-life in serum, clinical application is not widespread. To study the participation of exosomes containing BDNF in I/R, we isolated exosomes from BDNF-overexpressing HEK293. The protective outcomes of exosomes in hypoxia/reoxygenation (H/R) experiments were determined by the use of SY-5Y cells. Exosome-BDNF therapy restrained H/R-induced apoptosis by inhibition of the reducing levels of oxidative stress and calcium ions in the cells while maintaining stable levels of mitochondrial membrane potential in brain cells damaged by I/R. We then constructed a cerebral I/R injury model using SD rats to find the function of BDNF in exosome-mediated neuroprotection. The in vivo experiments conducted established that exosomes from BDNF-overexpressing HEK293 cells improved cerebral I/R injury by concealing neuronal apoptosis. Findings gained demonstrated that BDNF is a part of preventing cerebral I/R injury due to exosome mediation by regulating the cellular internal environment and inhibiting apoptosis.

The “fission electron-collection” neutron detector (FECND) is a fission-based neutron detector which has simple structure and could be used as a passive detector. In this work, a FECND prototype is fabricated and studied with thermal neutrons from a reactor. Due to the low sensitivity of FECND, the fission coat with an diameter of 93 mm and a235U mass thickness of 1 mg/cm2 was electroplated on the coated electrode of the prototype to obtain a robust signal. The experimental results indicate that the sensitivity of the prototype to thermal neutrons is 2.8 × 10−18C·cm2 and 1.3 × 10−18C·cm2 without a high voltage when the electrodes gap is 30 mm and 15 mm respectively. The sensitivities for various applied voltages are also provided for the two gaps. The data show that the both sensitivities were increased to about 1.0 × 10−17C·cm2 after a high voltage of one hundred volts was applied, and a higher voltage up to 4 kV would not increase the sensitivity distinctly. The impacts of different electrode gaps and various applied voltages are discussed.

The “fission electron-collection” neutron detector (FECND) is a fission-based neutron detector with flat and fast responses, and is a promising choice for the diagnostics of fusion neutron flux and spectrum. Due to its low sensitivity, the detector output is weak and is disturbed easily in calibration experiments. The backgrounds in the calibration primarily come from scattered neutrons and the γ rays induced by neutron inelastic scattering. A symmetrical structure of FECND was proposed to suppress the output of γ rays, and its effectiveness was validated by Monte Carlo simulations. A method was presented to eliminate the impact of scattered neutrons by utilizing the solid angle effect and the energy difference between source neutrons and scattered neutrons. Through calibration experiments and analyses, a D-T sensitivity of (8.6 ± 0.2)×10−20 C·cm2 was obtained for the FECND.

Low-energy recoil events in yttrium aluminum garnet (YAG) were investigated by using ab initio molecular dynamics simulations. This work provided insights into understanding the defect formation processes and the resulting defect configurations. The threshold displacement energies (TDEs) of the lattice atoms and related defect structures were determined along specific directions. Both the TDEs and the production of defect structures showed great dependence on the orientation and atom type. The minimum TDEs are 42, 38, 41, and 19 eV for Aloct along [ 111 ], Altetra along [ 1 ¯ 11 ], Y along [ 001 ], and O along [ 111 ] directions, respectively. The O atoms exhibited smaller TDEs than the Al and Y atoms, indicating that the O-related defects are the main ones in YAG used under irradiation circumstances. These results are helpful for electronic and photoelectronic devices based on YAG under a radiation environment.

A thin film plastic scintillator detector has been developed for the measurement of radiation power and yield of soft x rays produced from Z-pinch implosion. To enable soft x-ray measurements using plastic scintillators, the detector geometry has been specially designed to minimize visible light and alleviate nonlinear behavior. Energy response has been calibrated, and saturation effects have been explored and described in details. The possibility and limitation of its application to such high-density radiation bursts are analyzed. The detector has been fielded on several meters away in vacuum pipes for hundreds of shots at different Z-pinch facilities, and the measured data in these experiments agreed well with the results from other diagnostics, demonstrating the feasibility and reliability of the detector.

In view of the line loss control and the anti-electricity-stealing requirements faced by electric power companies, the design of the intelligent anti-electricity-stealing remote monitoring system has been proposed. The real-time monitoring of primary side of line current, the current of junction box and the current of metering device has been employed to determine the existence of electricity-stealing behavior and the specific location of electricity-stealing outlier. At the same time, the composition of intelligent anti-electricity-stealing remote monitoring system as well as the key technologies has been introduced in this paper. The application results show that this system can quickly diagnose the electricity-stealing behaviors of users and accurately determine the specific location of electricity-stealing outliers. The effect of anti-electricity-stealing is obvious.

With the development of market economy, the management system of power supply enterprise gradually improved, and the "line loss rate", which affects its comprehensive technical and economic indicators, is becoming increasingly significant, especially driven by the interests, criminals use a variety of high-tech methods to steal electricity than caused the high rate of line loss. In this paper, a method that analysis the user exception data and monitor the key users using electricity information acquisition and analysis platform based on SG186 system is proposed. This method provides a guarantee to achieve the goal of the user's electricity information management and building a green grid.