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In this paper, the structural characteristics of the perceptron neural network and the calculation method of the hierarchical relationship of the MLP neural network model are first studied. Then the aspects of two-part settlement, generation-side settlement, and customer-side settlement in the electricity spot settlement mechanism are studied, and the importance of these mechanisms for the operation of the electricity market and risk identification is pointed out. Following that, the effectiveness of the risk identification model is assessed and analyzed. This paper examines market performance indicators, the impact of the dual-track mechanism, and the time characteristics of the price index to characterize risk. The results show that in Guangdong, for example, the price in the day-ahead market is much higher than the supply-demand equilibrium price most of the time, and the maximum difference can be as high as 0.662 yuan/(kW-h). For the entire month, the real-time market’s average price is RMB 0.546/(kW-h) and it is RMB 0.063/(kW-h) higher than the day-ahead market. The importance of this study lies in its role in managing and responding to risks for electricity market operators and participants.

This paper summarized the potential causes and nursing measures of recurrent malposition of peripherally inserted central catheters (PICC) in a patient with thoracic outlet syndrome and related nursing measures. Thoracic outlet syndrome is a relatively rare peripheral neurovascular entrapment disease, also known as brachial plexus neurovascular compression in China, and there are very few clinical cases of primary malposition and difficulty in feeding indwelling PICC catheters in such patients. Through the case studies, it is believed that pre-catheterization history assessment, catheterization history, laboratory and imaging tests are the first priority, and post-ectopic management, complication prevention, psychological care, and health education are the key. This patient failed to pass the bedside catheter placement, and the Interventional Vascular Department was asked to mediate tube under the digital subtraction angiography (DSA). There were no complication such as thrombosis and infection after the catheter placement, and the patient successfully completed autologous stem cell transplantation and was discharged from the hospital. (本文总结1例胸廓出口综合征患者经外周静脉置入中心静脉导管(PICC)置管原发性异位的原因及护理经验。胸廓出口综合征是临床上比较少见的周围神经血管卡压性疾病, 又称为臂丛神经血管受压征, 此类患者留置PICC导管出现原发性异位及送管困难的临床病例报告极少。通过案例分析认为置管前的病史评估、置管史、实验室及影像学检查是首要, 异位后的处理、预防并发症、心理护理、健康教育是关键。此患者经床边调管失败, 请血管介入科在数字减影血管造影下成功调管, 调管后未出现血栓及感染等并发症, 顺利完成自体干细胞移植并出院。)

Blood vessel imaging provides crucial information for physiological monitoring and disease diagnosis. Optical‐resolution photoacoustic microscopy (PAM) is gaining intense attention in high‐resolution in vivo imaging of blood vessels. However, its applicability in clinical settings is hindered by the requirement of bulky and costly pulsed lasers as well as complex alignment procedures. Here, as a novel approach to high‐quality and cost‐effective microvasculature imaging, a dual‐wavelength fiber‐coupled laser diode‐based PAM (FC‐LD‐PAM) system is demonstrated on the mouse ear and brain in vivo. Furthermore, assisted with a deep learning method, the proposed technique effectively combines the advantages when using both small and large core‐size multimode fibers—successfully enhances the resolution of blurry mouse microvascular images obtained using a large core‐size fiber, revealing fine details that are comparable to those achieved using a small core‐size fiber; significantly reduces the overall time for data acquisition up to fourfold, improving the efficiency significantly in the imaging process. In addition, the proposed approach can achieve accurate and high‐resolution mapping of oxygen saturation in vivo, providing functional insight on living tissue. Therefore, the FC‐LD‐PAM can serve as a translational tool for high‐resolution imaging with enhanced accessibility and versatility in the biomedical field. [ABSTRACT FROM AUTHOR]

This paper utilizes a game theory model to investigate the interplay of cooperation and competition between smart vehicle companies (the incumbents) and traditional vehicle companies (the entrants) in the intelligent connected vehicle industry. The results show that technology sharing emerges as a critical factor in improving business performance and driving market expansion. Additionally, the collaborative endeavors of competitive firms, coupled with consumer involvement, play a crucial role during the value co‐creation phase of new products, significantly impacting company efficiency and consumer satisfaction. Drawing on case studies such as Tesla further corroborates our management insights. [ABSTRACT FROM AUTHOR]

The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are two large-scale brain imaging studies that will extend the recently completed HCP Young-Adult (HCP-YA) project to nearly the full lifespan, collecting structural, resting-state fMRI, task-fMRI, diffusion, and perfusion MRI in participants from 5 to 100+ years of age. HCP-D is enrolling 1300+ healthy children, adolescents, and young adults (ages 5-21), and HCP-A is enrolling 1200+ healthy adults (ages 36-100+), with each study collecting longitudinal data in a subset of individuals at particular age ranges. The imaging protocols of the HCP-D and HCP-A studies are very similar, differing primarily in the selection of different task-fMRI paradigms. We strove to harmonize the imaging protocol to the greatest extent feasible with the completed HCP-YA (1200+ participants, aged 22-35), but some imaging-related changes were motivated or necessitated by hardware changes, the need to reduce the total amount of scanning per participant, and/or the additional challenges of working with young and elderly populations. Here, we provide an overview of the common HCP-D/A imaging protocol including data and rationales for protocol decisions and changes relative to HCP-YA. The result will be a large, rich, multi-modal, and freely available set of consistently acquired data for use by the scientific community to investigate and define normative developmental and aging related changes in the healthy human brain.

Co-B catalyst, W-modified Co-B (Co-W-B) catalyst, and Mo-modified Co-W-B (Co-W-Mo-B) catalyst powders were synthesized via chemical reduction of metal salt solutions at room temperature. The optimal hydrogen production rate was obtained when the ratio of the reducing agent (NaBH4) to the metal solution was 4:1. Among the ternary catalysts, the Co0.1-W0.9-B catalyst showed the optimal hydrogen production rate when the content of W doping was 0.9. Furthermore, the hydrogen production rate of the quaternary catalyst was enhanced when the content of Mo doping was 0.075, denoted as Co0.1-W0.9-Mo0.075-B. The catalyst powders were characterized by SEM, XRD, XPS, and BET. The hydrogen production rates of the Co-B catalyst, Co0.1-W0.9-B catalyst, and Co0.1-W0.9-Mo0.075-B catalyst were investigated for the decomposition of alkaline sodium borohydride (NaBH4) in a water–ethanol mixture solution. The Co0.1-W0.9-Mo0.075-B catalyst exhibited the highest hydrogen production rate compared to Co-B and Co0.1-W0.9-B catalyst powders. The optimal hydrogen production rate of the Co0.1-W0.9-Mo0.075-B catalyst is 4600 ml·min−1·g−1, which is nearly 1.9 times higher than that of the Co-B catalyst. Moreover, the Co0.1-W0.9-Mo0.075-B catalyst exhibited good stability, retaining 73% of its catalytic activity after five cycles, and had a low apparent activation energy of 41.51 kJ·mol−1. [ABSTRACT FROM AUTHOR]