A Review on Soft Error Correcting Techniques of Aerospace-Grade Static RAM-Based Field-Programmable Gate Arrays.

Aerospace-grade SRAM-based field-programmable gate arrays (FPGAs) used in space applications are highly susceptible to single event effects, leading to soft errors in FPGAs. Additionally, as FPGAs scale up, the difficulty of correcting soft errors also increases. This paper proposes that performing soft error sensitivity analysis on FPGAs can help target the more sensitive areas for detection and correction, thereby improving the efficiency of soft error repair. Firstly, in accordance with the dual-layer architecture of SRAM-based FPGAs, methods for the soft error sensitivity analysis of FPGA application layer resources and configuration bitstreams are reviewed. Subsequently, based on the analysis results, it also covers corresponding application layer memory scrubbing and configuration scrubbing techniques. A prospective look at emerging soft error mitigation technologies is discussed at the end of this review, supporting the development of highly reliable aerospace-grade SRAM-based FPGAs.

Streptavidin-biotin system-mediated immobilization of a bivalent nanobody onto magnetosomes for separation and analysis of 3-phenoxybenzoic acid in urine.

The compound 3-phenoxybenzoic acid (3-PBA) is frequently utilized as a biomarker to detect exposure to various pyrethroids. In this study, a bivalent nanobody (Nb2) specifically targeting 3-PBA was biotinylated and immobilized onto streptavidin (SA)-modified bacterial magnetic nanoparticles (BMPs), resulting in the formation of BMP-SA-Biotin-Nb2 complexes. These complexes demonstrated remarkable stability when exposed to strongly acidic solutions (4 M HCl), methanol (80%), and high ionic strength (1.37 M NaCl). An immunoassay was subsequently developed utilizing BMP-SA-Biotin-Nb2 as the capture agent and 3-PBA-horseradish peroxidase as the detection probe. The immunoassay exhibited an IC50 value (half-maximum signal inhibition concentration) of 1.11 ng mL-1 for 3-PBA. To evaluate the accuracy of the assay, spiked sheep and cow urine samples (ranging from 3.0 to 240 ng mL-1) were analyzed. The quantitative recoveries ranged from 82.5% to 113.1%, which agreed well with the findings obtained using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Overall, the BMP-SA-Biotin-Nb2-based immunoassay holds great promise for rapid monitoring of 3-PBA following acid dissociation.

Primary hepatic undiferentiated pleomorphic sarcoma with recurrence and widespread metastasis.

A 59-year-old man was referred to us for evaluation of asymptomatic mass in the liver that had been detected on ultrasonography performed during a physical screening. He had no history of hepatitis, and was otherwise well. Tumor markers were normal, including alpha fetoprotein, carcinoembryonic antigen, neuron-specific enolase and cancer antigen 199. Abdominal CT showed a 5.0 cm diameter low density mass in the S6 segment of his liver, with mild peripheral enhancement. Abdominal MR demonstrated the mass with hypointensity on T1WI, inhomogeneous hyperintensity on fat-suppressed T2WI, and mild peripheral enhancement. Partial hepatectomy was performed and pathological examination indicated undiferentiated pleomorphic sarcoma, with immunohistochemical results as follows: Vimentin (+), CK (-), CD68 (+), INI-1 (+), Hepa (-), Gly-3 (-), Arg-1 (-), HMB45 (-), CAM5,2 (-), CD31 (-), CD34 (-), CK7 (-), CK19 (-),Desmin (-), SMA (+), EMA (-), S-100 (-), Ki67 (50%+). The patient underwent postoperative chemotherapy with karelizumab and gemcitabine. However, repeat MR 3 months later showed multiple nodules with rim-like enhancement around the surgical margin. Subsequent repeat CT 6 months later reveled marked progression of the lesions.

Time-feature attention-based convolutional auto-encoder for flight feature extraction.

Quick Access Recorders (QARs) provide an important data source for Flight Operation Quality Assurance (FOQA) and flight safety. It is generally characterized by large volume, high-dimensionality and high frequency, and these features result in extreme complexities and uncertainties in its usage and comprehension. In this study, we proposed a Time-Feature Attention (TFA)-based Convolutional Auto-Encoder (TFA-CAE) network model to extract essential flight features from QAR data. As a case study, we used the QAR data landing at the Kunming Changshui International Airport and Lhasa Gonggar International Airport as the experimental data. The results show that (1) the TFA-CAE model performs the best in extracting representative flight features in comparison to some traditional or similar approaches, such as Principal Component Analysis (PCA), Convolutional Auto-Encoder (CAE), Self-Attention-based CAE (SA-CAE), Gate Recurrent Unit based Auto-Encoder (GRU-AE) and TFA-GRU-AE models; (2) flight patterns corresponding to different runways can be recognized; and (3) anomalous flights can effectively deviate from many observations. Overall, the TFA-CAE model provides a well-established technique for further usage of QAR data, such as flight risk detection or FOQA.

Gastric duplication cyst with peristalsis.

A 24-year-old male presented with an asymptomatic right perirenal cyst that was detected on ultrasound performed during a physical screening. Abdominal computed tomography showed a hypodense cystic mass between the liver and right kidney. Peristalsis of the cystic mass was observed via multi-phase CT scan, including plain scan, arterial phase, venous phase and delayed phase. The mass was completely resected by laparoscopy.

Neogenin-1 Promotes Cell Proliferation, Motility, and Adhesion by Up-Regulation of Zinc Finger E-Box Binding Homeobox 1 Via Activating the Rac1/PI3K/AKT Pathway in Gastric Cancer Cells.

BACKGROUND/AIMS: Neogenin-1 (Neo1) has been reported to be involved in diverse physiology and pathology functions, including cell proliferation, differentiation and migration. The present study aimed to explore the functional role of neogenin-1 (Neo1) in gastric cancer (GC), together with underlying mechanisms. METHODS: Neo1 expression was analyzed by qRT-PCR and Western blot analysis in both human GC cell lines and normal gastric epithelial cell line. Neo1 was respectively overexpressed or silenced by transfection with pcDNA3.1 or siRNA, and then the cells were incubated with or without different concentrations of cisplatin, transforming growth factor (TGF)-ß1, and/or inhibitors of Rac-1 and PI3K. Thereafter, cell viability, invasion, and adhesion were measured by CCK-8, wound healing and adhesion assays, respectively. The expression levels of key factors involved in epithelial mesenchymal transition (EMT) and the PI3K/AKT pathway were analyzed by Western blot analysis. RESULTS: The results showed that the Neo1 level was significantly increased in GC cell lines, with the highest level in SGC-7901 cells. Overexpression of Neo1 significantly reduced the GC cell sensitivity to cisplatin and increased the cell viability, motility and adhesion ability, and while silencing of Neo1 showed contrary results. Moreover, overexpression of Neo1 dramatically downregulated the E-Cadherin level and upregulated the levels of N-Cadherin and Vimentin. In addition, the data revealed that Neo1 positively regulated the expression of Zinc finger E-box-binding homeobox 1 (ZEB1) by activating the Rac1/PI3K/AKT pathway. CONCLUSIONS: Neo1 could promote cell proliferation, motility, and adhesion by up-regulation of ZEB1 via activating the Rac1/PI3K/AKT pathway in GC cells.