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Accurate human pose estimation is crucial for precisely locating key points of human body during the near-electricity work in substations. However， traditional detection methods often suffer from low accuracy， missed detections， and misdetections due to occlusion by limb or equipment. To address these challenges， the paper proposes a high-precision multi-human body pose estimation method tailored for near-electricity work in substations. First， a deformable convolutional network （DCN） is embedded into the backbone network， enabling the model to autonomously learn human joint features and enhancing its geometric modeling capabilities. Second， a feature pyramid network is constructed based on the ConvNeXt v2 Block as the neck structure. This strengthens feature interaction learning through cross-scale connections. In the prediction head， the coordinate attention （CA） mechanism is introduced to further capture channel and spatial information of feature maps. Finally， by improving the original loss function， the model’s convergence speed is accelerated. The results show that， compared to the baseline model， the proposed model’s average detection accuracies P0.50， P0.75， and P have increased by 2.7%， 7.3%， and 4.2%， respectively. This provides significant technical support for the safety of near-electricity workers in complex substation environments.

Objective To conduct a network meta-analysis on the effectiveness of first-line immunotherapy on patients with brain metastases from advanced non-small cell lung cancer (NSCLC). Methods Two investigators conducted a computerized search of Pubmed, Embase, Cochrane, and other databases to screen the literature, extract the information, and assess the risk of bias of the included studies. The included clinical trials were statistically analyzed using R (4.1.3) software. For the study outcome indicators OS and PFS, the risk ratios (HRs), and the 95% confidence intervals (CIs) were extracted from the included studies and logarithmically transformed into effect analysis statistics. Results Six randomized controlled trials were finally included, including 327 patients with non-excludable NSCLC brain metastases. Network meta-analysis suggested that PD-1 inhibitor + CTLA-4 was more advantageous than the conventional chemotherapy for enhancing patients’ OS (HR: 0.13, 95%CI: 0.03-0.71), followed by PD-L1 inhibitor (HR: 0.17, 95%CI: 0.04-0.74) and PD-1 inhibitor + chemotherapy (HR: 0.36, 95%CI: 0.2-0.63). PD-1 inhibitor + CTLA-4 was also more advantageous (HR: 0.37, 95%CI: 0.15-0.93) than the conventional chemotherapy for boosting patients’ PFS, followed by PD-L1 inhibitor + chemotherapy (HR: 0.44, 95%CI: 0.29-0.66) and PD-1 inhibitor (HR: 0.48, 95%CI: 0.27-0.86). Conclusion Immune checkpoint inhibitor therapy improves the survival of patients with brain metastases from advanced NSCLC. In particular, the combination of PD-1 inhibitor and CTLA-4 inhibitor show excellent survival benefit.

Aim: To systematically search, evaluate and synthesise the most robust evidence regarding pressure injury prevention in orthopaedic patients admitted to general wards. Design: The present study provides an evidence‐based summary of the most robust findings, adhering to the evidence guidelines established by the Center for Evidence‐Based Nursing of Fudan University. Method: According to the "6S" model, a systematic search was conducted for literature on pressure injury prevention among orthopaedic patients in general wards. The types of literature included guidelines, clinical decisions, expert Consensus, evidence summaries, etc. The search period covered the time from the beginning of the database up to December 2023. Data Source s : The following databases and resources were systematically searched: Up To Date, JBI, NICE, WOCN, NZWCS, etc. Results: Fifteen literature sources were included, comprising one clinical decision, eight guidelines, one systematic review, and one expert Consensus. In these sources, a comprehensive collection of 34 pieces of best evidence was formed across six key topics: risk assessment, position management, skin care, device used for device‐related pressure injury, nutritional assessment, and support, as well as health education and training. Among the evidence gathered, a strong recommendation was made for 18 pieces, while the remaining 16 received a weak recommendation. Conclusion: This study provides a comprehensive synthesis of the most robust evidence on pressure injury prevention in orthopaedic patients, encompassing 34 pieces of evidence that can serve as valuable references for clinical practice. Before implementing this evidence, it is crucial to evaluate the specific contextual factors within different countries and medical institutions, as well as the facilitators and barriers influencing its application by healthcare professionals and patient's preferences. Furthermore, targeted evidence selection should be conducted through careful screening and subsequent adjustments in implementation, thereby offering a more scientifically grounded basis for clinical nursing practice. Future research endeavours should prioritise investigating strategies for effective evidence utilisation. Implications for the Profession and Patient Care: The prevention of pressure injuries poses a significant challenge for orthopaedic patients. This study presents a synthesis of 34 pieces of best evidence to provide guidance on preventive measures for pressure injuries in orthopaedic patients. Adhering to and implementing these 34 pieces of evidence can effectively aid in preventing pressure injuries in clinical practice. This evidence encompasses risk assessment, position management, skin care, device usage for device‐related pressure injuries, nutritional support and evaluation, and health education and training, establishing a comprehensive and systematic implementation process. Assessing the risk of pressure injuries during interventions serves as an essential prerequisite for developing effective strategies to prevent such injuries among orthopaedic patients. Ultimately, this study will offer valuable guidance to healthcare professionals worldwide regarding preventing pressure injuries in orthopaedic patients. Impact: Upon admission to the hospital, it is essential to conduct a risk assessment and implement evidence‐based, individualised prevention measures for pressure ulcers in patients to prevent their occurrence. This study will provide valuable insights into preventing pressure injuries in orthopaedic patients admitted to orthopaedic wards for healthcare workers worldwide. State: The PRIMA manifest is utilised during the text preparation process. Trail Registration: ES20245365 [ABSTRACT FROM AUTHOR]

In this paper, an efficient mask optimization method for enhanced digital micromirror device lithography quality based on improved particle swarm optimization (PSO) is proposed, which greatly improves the quality of lithography. First, the traditional PSO algorithm is improved by introducing adaptive parameter adjustment to enhance its search ability in complex problems. In addition, in order to avoid premature convergence of the algorithm, a simulated annealing operation is introduced to make it accept the different solution with a certain probability and jump out of the local optimal better. The numerical simulation experiment results showed that the pattern errors between the print image and target pattern were reduced by 93.5%, 95.8%, and 95.6%, respectively. Compared with traditional optimization methods, the proposed algorithm significantly improves the image quality, especially in the aspects of edge contour and pattern fidelity. [ABSTRACT FROM AUTHOR]

Nature performs critical physiological functions using a series of structurally and functionally diverse membrane proteins embedded in cell membranes, in which native ion protein channels modify the electrical potential inside and outside the cell membrane through charged ion movements. Consequently, the cell responds to external stimuli, playing an essential role in various life activities, such as nerve excitation conduction, neurotransmitter release, muscle movement, and control of cell differentiation. Supramolecular artificial channels, which mimic native protein channels in structure and function, adopt unimolecular or self‐assembled structures, such as crown ethers, cyclodextrins, cucurbiturils, column arenes, cyclic peptide nanotubes, and metal‐organic artificial channels, in channel construction strategies. Owing to the various driving forces involved, artificial synthetic ion channels can be divided into artificial cation and anion channels in terms of ion selectivity. Cation selectivity usually originates from ion coordination, whereas anion selectivity is related to hydrogen bonding, ion pairing, and anion‐dipole interactions. Several studies have been conducted on artificial cation channels, and several reviews have summarized them in detail; however, the research on anions is still in the initial stages, and related reviews have rarely been reported. Hence, this article primarily focuses on the recent research on anion channels. [ABSTRACT FROM AUTHOR]

Tunnel-boring machines (TBMs) are widely used in urban underground tunnel construction due to their fast and efficient features. However, shield-tunnel construction faces increasingly complex geological environments and may encounter geological hazards such as faults, fracture zones, water surges, and collapses, which can cause significant property damage and casualties. Existing geophysical methods are subject to many limitations in the shield-tunnel environment, where the detection space is extremely small, and a variety of advanced detection methods are unable to meet the required detection requirements. Therefore, it is crucial to accurately detect the geological conditions in front of the tunnel face in real time during the tunnel boring process of TBM tunnels. In this paper, a 3D-ERT advanced detection method using source-position electrode excitation is proposed. First, a source-position electrode array integrated into the TBM cutterhead is designed for the shield-tunnel construction environment, which provides data security for the inverse imaging of the anomalous bodies. Secondly, a 3D finite element tunnel model containing high- and low-resistance anomalous bodies is established, and the GREIT reconstruction algorithm is utilized to reconstruct 3D images of the anomalous body in front of the tunnel face. Finally, a physical simulation experiment platform is built, and the effectiveness of the method is verified by laboratory physical modeling experiments with two different anomalous bodies. The results show that the position and shape of the anomalous body in front of the tunnel face can be well reconstructed, and the method provides a new idea for the continuous detection of shield construction tunnels with boring. [ABSTRACT FROM AUTHOR]

As a planarization technique, chemical mechanical polishing (CMP) continues to suffer from pattern effects that result in large variations in material thickness, which can influence circuit performance and yield. Therefore, tools for predicting post-CMP chip morphology based on the layout-dependent effect (LDE) have become increasingly critical and widely utilized for design verification and manufacturing development. In order to characterize the impact of patterns on polishing, such models often require the extraction of graphic parameters. However, existing extraction algorithms provide a limited description of the interaction effect between layout patterns. To address this problem, we calculate the average density as a density correction and innovatively use a one-dimensional line contact deformation profile as a weighting function. To verify our hypothesis, the density correction method is applied to a density step-height-based high-K metal gate-CMP prediction model. The surface prediction results before and after optimization are compared with the silicon data. The results show a reduction in mean squared error (MSE) of 40.1% and 35.2% in oxide and Al height predictions, respectively, compared with the preoptimization results, confirming that the optimization method can improve the prediction accuracy of the model. [ABSTRACT FROM AUTHOR]

gem‐Dibromoalkanes are important synthetic building block in organic chemistry, but their preparation is still troublesome. Herein, we have developed a simple and practical protocol for the synthesis of gem‐dibromoalkanes from aldehydes using tetrabutylammonium tribromide and triphenyl phosphite. A variety of alkyl and aromatic aldehydes can be transformed into the corresponding products within 10 minutes. This protocol is also applicable to alcohols, and the configuration of chiral alcohol is inverted during the process with excellent enantiopurity. [ABSTRACT FROM AUTHOR]

Sympiezomias velatus (Chevrolat) (Coleoptera: Curculionidae) has caused serious damage on jujube trees (Ziziphus jujuba Mill) in northern China. Semiochemicals emerging from the host are essential in the process of insects identifying and localizing the host. The highly expressed odorant-binding protein 1 of S. velatus (SvelOBP1) was assumed to play a possible role in the recognition of host volatiles. In this study, SvelOBP1 was cloned based on the antennal transcriptome of S. velatus. The recombinant SvelOBP1 protein was expressed in Escherichia coli and purified by Ni-NTA resin. The predicted protein SvelOBP1 belonged to a classic OBP subfamily. The expression patterns revealed that SvelOBP1 was mainly expressed in the antennae of both males and females, whereas the expression of SvelOBP1 in other body parts could be neglected. The fluorescence binding assay indicated that SvelOBP1 displayed very strong binding affinities to dibutyl benzene-1,2-dicarboxylate and (Z)-hex-3-en-1-ol (Ki = 6.66 ± 0.03 and 7.98 ± 0.06 μM). The molecular docking results showed that residues Trp114, Phe115 and Asp110 may be involved in binding to both dibutyl benzene-1,2-dicarboxylate and (Z)-hex-3-en-1-ol and may have a great impact on odorant recognition of S. velatus. Our results provide evidence that SvelOBP1 might participate in the olfactory molecular perception of S. velatus and would promote the development of pest attractants for S. velatus control. [ABSTRACT FROM AUTHOR]