Numerous pieces of evidence have demonstrated the functional role of miR-548 in various cancers. The expression and function of miR-548 in gastric cancer were investigated in the present study. A ...total of 123 gastric cancer patients were included and provided paired gastric cancer tissues and matched normal tissues. RT-qPCR was used to detect the expression of miR-548. CCK8 assay was used to evaluate cell proliferation, and Transwell assay was applied to assess cell migration and invasion. The clinical significance of miR-548 was estimated by a series of statistical analyses. miR-548 was found to be upregulated in gastric cancer, which was associated with the lymph node metastasis and TNM stage of patients. Patients with relatively high miR-548 expression possessed bad survival. miR-548 was identified as a prognostic indicator of gastric cancer. miR-548 was also found to promote the proliferation, migration, and invasion of gastric cancer. Upregulated miR-548 was involved in the progression of gastric cancer and predicted the prognosis of patients. Inhibition of miR-548 might be a novel therapeutic strategy for gastric cancer.
The distribution of transmission lines is complex, influenced by terrain and topography, making their maintenance and management challenging. With the advancement of global mechanization, various ...types of construction machinery and large‐scale mechanical equipment are continually increasing. Accidental contact of construction machinery near transmission lines poses a serious threat to the stability of the power system. Traditional drones and inspection robots face difficulties in achieving real‐time monitoring of construction machinery and equipment around transmission lines, quickly identifying potential risks. Conventional image processing techniques and convolutional neural networks struggle with effective handling of small targets and densely packed detection tasks involving multiple targets. To address these challenges, this paper proposes an intelligent detection algorithm Swin Transformer attention efficient algorithm‐you only look once (YOLO) (STAE‐YOLO). It is based on the Swin Transformer global self‐attention mechanism, cross‐channel fusion attention mechanism, enhanced small object detection framework, and a focused and efficient regression loss function. The experimental results show that the STAE‐YOLO algorithm model improved by 6.3% in mean average precision, 3.7% in precision, and 3.1% in recall compared to the baseline model. Meanwhile, deploying the window multi‐head self‐attention global self‐attention mechanism in the model can strengthen the global multi‐scale semantic information in detection.
This paper proposes the Swin Transformer attention efficient algorithm‐YOLO algorithm, utilizing the Swin Transformer's global self‐attention and cross‐channel fusion mechanisms, an enhanced framework for small object detection, and an efficient regression loss function. It addresses challenges in monitoring construction machinery near transmission lines, demonstrating a 6.3% improvement in mean average precision, 3.7% in precision, and 3.1% in recall compared to the baseline model.
With the increase of residential power consumption and the expansion of power system, distribution networks may face low voltage problem. The low voltage problem affects the normal power consumption ...of user and the safe and stable operation of power system. To solve it, a low voltage governance and optimization strategy for distribution network is proposed in this paper. First, a low-voltage identification method is proposed to determine low voltage governance objects and form the low-voltage database. Then, an optimization model considering multiple governance measures is derived and finally the multi-objective particles swarm optimization method is applied to solve it. The proposed method has been tested by a local distribution network system in Guangzhou. The simulation results show good governance effect of reducing low voltage area and improving the economy and stability of power grid, which can be used in the low voltage governance and power flow optimization for the distribution network.
A high-efficiency 27-30 GHz 0.13-<inline-formula> <tex-math notation="LaTeX">{{\mu } \text {m}} </tex-math></inline-formula> BiCMOS transmitter front end for mobile satellite communication (SATCOM) ...phased arrays is presented. A system-level analysis for determining the key parameters of the RF front end for the case of a SATCOM user terminal for geostationary Earth orbit (GEO) is presented. The building blocks of the beamformer, consisting of a phase shifter, variable attenuator, and power amplifier, are fully characterized. A 360° phase shifter with an accuracy of 7 bits and amplitude error of ±1.5 dB is integrated with a variable attenuator that provides a gain variation of 16 dB with phase error of ±5°. The chip has a measured transducer gain of 23 dB and a power consumption of 45 mW at OP 1dB of 10.8 dBm. The power-added efficiency (PAE) of 26.7% is measured for the entire channel at OP 1dB . An error vector magnitude (EVM) of −28 dB at P out,avg of 6 dBm and PAE avg of 12% is measured for a 400-MHz bandwidth 64-QAM modulated signal. The overall size of the chip is <inline-formula> <tex-math notation="LaTeX">{1.18} \times {2.23}\,\,\text {mm}^{{2}} </tex-math></inline-formula>.
This paper presents the design, development, and measurement results of a low-cost integrated circularly polarized (CP) active phased-array antenna (CP-APAA) technology with sidelobe level (SLL) ...control, operating at <inline-formula> <tex-math notation="LaTeX">Ka </tex-math></inline-formula>-band, for high throughput land-mobile satellite communication. The proposed CP-APAA is comprised of (<inline-formula> <tex-math notation="LaTeX">4\times 16 </tex-math></inline-formula>) 64 elements in a rectangular grid array configuration. Eight commercial monolithic monolithic microwave/millimeter-wave integrated circuit. (MMICs) with eight-RF output channels have been used to control the phase and amplitude over the antenna aperture. For simplicity, the array antenna was designed in three metal layers and fabricated by a low-cost printed circuit board (PCB) technology as a proof-of-concept for a modular and scalable <inline-formula> <tex-math notation="LaTeX">Ka </tex-math></inline-formula>-band PAA with a wide steering angle. Measured radiation pattern shows a right-hand CP (RHCP) pattern with an axial-ratio (AR) level < 3 dB and low pointing error ≤1.5° over a scanning angular range of 0° to ±40°. Moreover, the amplitude excitation of the CP-APAA was tapered exponentially to control and reduce the SLL from 11 to 25 dB in boresight direction. Finally, toward a multibeam array implementation, two RHCP beams have been simultaneously generated at −30° and +20° scan angles.
To improve the capability of nanosecond lasers to process structures with a high aspect ratio, a new method of nanosecond laser processing in closed flowing water was proposed in this paper. The ...microgrooves on a stainless steel 304 surface were processed by the new method, and the influence of processing parameters on the microgrooves was studied. The comparative experiments of laser processing in still water and overflowing water were also carried out, and the unusual phenomenon of laser processing in different flowing water was discovered by a high-speed camera. The results showed that the flowing velocity played a crucial role in underwater laser processing, and that high flowing velocity could timely remove bubbles in closed flowing water, thus obtaining higher processing efficiency. As the depth of the groove increased, the bubbles firstly affected the processing of the sidewall, causing a circular transition between the sidewall and bottom surface. The reflection of the laser beam by the bubble could cause secondary processing on the sidewall, resulting in a decrease in the taper angle. Based on the above research, the microgroove with a width of 0.5 mm, aspect ratio of 3, and taper angle of 87.57° was successfully processed by a nanosecond laser in closed flowing water. Compared to conventional nanosecond laser processing, laser processing in closed flowing water was more advantageous in processing microgrooves with a small taper angle and high aspect ratio.
The properties of high strength, wear resistance, and high brittleness, make silicon carbide (SiC) materials difficult to process by traditional processing methods. The non-traditional processing ...method of laser processing has emerged as a viable means of processing silicon carbide materials, as it is very suitable for processing hard and brittle materials, and has the additional advantages of no tool wear, no cutting force, and high processing efficiency. However, in conventional laser processing of silicon carbide, oxidation products occur in the processing area, which can hinder the further removal of the material. To avoid the accumulation of oxidation products and improve the laser processing of the groove structure on the silicon carbide surface, a blowing-assisted laser processing method is proposed by this paper. Comparison experiments between conventional and blowing-assisted laser processing were conducted, in which groove structures of different depths and widths were processed. Two models were established based on the experimental results to explain the material removal process. Finally, the array microgroove structures were successfully processed by blowing-assisted laser processing, verifying the feasibility of improving the laser processing capability of microstructures on silicon carbide surfaces with the assistance of blowing.
In recent years, artificial intelligence has developed rapidly, and artificial intelligence equipment has greatly facilitated people's lives. During the operation of intelligent devices, accurate ...environmental perception is of great importance. To provide more accurate electric balance vehicle instructions, we collect the vibration signal data in different driving environments, and machine learning (ML) methods are adopted to extract and analyse the characteristics of the signal. Then, the classification of the road type is realized. In the study, a Bluetooth wireless acceleration-attitude sensor is used to collect acceleration, angular velocity and angle signal data of the balance vehicle in the X, Y and Z directions. Through analysis, the classification accuracy of using continuous time series data as learning samples is higher than that of using a single time step signal. In the classification based on continuous time series samples, three different models XGBoost, LSTM and 1D-ResNet, are used. XGBoost is applied on artificial feature extraction data and the other models are applied on original sequence data. The F1 scores of the three models are 0.80, 0.77 and 0.79, respectively. To mitigate overfitting, we propose a CNN-LSTM model, whose F1 score is 0.83, outperforming the previous three models.
Due to the differences in raw materials and production processes, the quality of the same type of drug produced by different manufacturers is different. In drug supervision, determining the ...manufacturer can help to trace drug quality issues. In this study, a method for the quick identification of drug manufacturers based on laser-induced breakdown spectroscopy (LIBS) was proposed for the first time. We obtained the LIBS spectra from 12 samples of three types of penicillin (phenoxymethylpenicillin potassium tablets, amoxicillin capsules, and amoxicillin and clavulanate potassium tablets) produced by 10 manufacturers. The LIBS characteristic lines of the three types of penicillin were ranked by importance based on the decrease in the Gini index of random forest (RF). Three classifiers—the linear discriminant analysis (LDA), support vector machine (SVM) and artificial neural network (ANN)—were used to identify the different manufacturers of the three types of penicillin. RF-ANN provided the best classification result and an accuracy of 100% in penicillin manufacturer identification. The results show that LIBS combined with chemometrics could be used in the identification of penicillin manufacturers, and this method has application potential in drug quality supervision.
Secretory carcinoma of the breast is one of the rarest entities, accounting for less than 0.15 % of all infiltrating breast carcinomas. It has characteristic histopathological and molecular features ...and, in general, a more favorable prognosis. In this case report, we describe a local, advanced secretory carcinoma of the breast with aggressive course and an unfavorable outcome.
A hard, painless, and palpably bossed mass approximately 12.0 cm in diameter occupied most of the left breast of a 39-year-old woman with fixation to the overlying skin. Breast ultrasonography and magnetic resonance imaging (MRI) scans gave the same grading as BI-RADS IV. A needle biopsy was performed, and the pathological diagnosis was secretory carcinoma. Neoadjuvant chemotherapy (NAC) was then performed, after which ultrasonography and MRI scans revealed chemo-resistance of the tumor to NAC. Left breast mastectomy and axillary lymphadenectomy were subsequently performed. Tumor cells were triple-negative and positive for S-100 and periodic acid-Schiff (PAS) staining. Fluorescence in-situ hybridization (FISH) analysis indicated a fusion arrangement of the ETV6-NTRK3 gene. The patient developed multiple distant metastases in the brain and died of these metastases 19 months after initial diagnosis.
Secretory carcinomas of the breast have been described as a low-grade histologic subtype with a favorable prognosis. This case showed chemo-resistance to neoadjuvant chemotherapy, multiple distant metastases, and a final unfavorable outcome. Further research is needed to better understand the behavior and treatment of this rare tumor.
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