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Here, fast time‐varying channels of high‐mobility vehicle‐to‐vehicle communications for massive multiple‐input multiple‐output orthogonal frequency division multiplexing systems are considered. Large‐scale uniform linear arrays are configured at the transmitter and receiver to separate multiple angle domain Doppler frequency offsets based on transmit and receive beamforming with high spatial resolution. Then, each beamforming branch comprises only one dominant Doppler frequency offset. Next, the conventional channel estimation method is performed for each beamforming branch, and carry out maximum‐ratio‐combining for data detection. Power spectrum density and Doppler spread of the equivalent link between the transmitter and receiver are derived and regarded as the criterion for assessing the residual channel time variation caused by limited antennas in practice. Interestingly, a scaling law between the asymptotic Doppler spread and the number of transceiver antennas shows that asymptotic Doppler spread is proportional to the maximum Doppler frequency offset and decreases at the rate of 1NT2+1NR2 $\\sqrt {\\frac{1}{{{N_T}^2}} + \\frac{1}{{{N_R}^2}}}$ , where NT ${N_T}$and NR ${N_R}$are the number of transmit and receive antennas, respectively. Simulation results confirm the validity of the proposed Doppler suppression framework in high‐mobility vehicle‐to‐vehicle communications. We propose a novel Doppler suppression framework with Doppler frequency offset compensation at the transceiver in angle domain to suppress channel time variation for vehicle‐to‐vehicle communications. We regard Doppler spread as the criterion for assessing the residual channel time variation and derive the scaling law between Doppler spread and the number of transceiver antennas. Simulation results confirm the validity of the proposed Doppler suppression framework for high‐mobility V2V communications.

In the power system of a polysilicon reduction furnace, especially during the silicon rod growth process, the issue of insufficient temperature control accuracy arises due to the system’s nonlinear and time-varying characteristics. To address this challenge, a dual-loop control system is proposed, combining model-free adaptive control (MFAC) with an improved PID controller. The inner loop utilizes a hysteresis PID controller for dynamic current regulation, ensuring fast and accurate current adjustments. Meanwhile, the outer loop employs a hybrid MFAC-based improved PID algorithm to optimize the temperature tracking performance, achieving precise temperature control even in the presence of system uncertainties. The MFAC component is adaptive and does not require a system model, while the improved PID enhances stability and reduces the response time. Simulation results demonstrate that this hybrid control strategy significantly improves the system’s performance, achieving faster response times, smaller steady-state errors, and notable improvements in the uniformity of polysilicon deposition, which is critical for high-quality silicon rod growth. The proposed system enhances both efficiency and accuracy in industrial applications. Furthermore, applying the dual-loop model to actual industrial products further validated its effectiveness. The experimental results show that the dual-loop model closely approximates the polysilicon production model, confirming that dual-loop control can allow the system to rapidly and accurately reach the set values.

Background The global aging trend has intensified chronic disease burdens, widened healthcare access disparities, and exacerbated unmet care needs. Internet‑based Healthcare Services (IHS) present a promising strategy to address these challenges. This study investigates the prevalence and determinants of IHS use, as well as the primary motivations and barriers to adoption among adults aged 50 years and older in mainland China. Methods An online cross-sectional survey was conducted in March 2021 among adults aged 50 years and older in mainland China. Participants ( N  = 560) were recruited through random sampling on an online platform. Logistic regression models were used to identify predisposing, need, and enabling factors associated with IHS use. Results Only 17.14% of respondents reported using IHS, with online medical consultation being the most common (38.5%). Respondents aged between 50 and 59 years (AOR = 4,975 [95% CI 1.224–19.608]), urban residents (AOR = 6.056 [95% CI 1.689–21.713]), higher income (AOR = 3.862 [95% CI 1.822–8.186]), chronic conditions (AOR = 5.567 [95% CI 2.167–14.301]), delays in seeking healthcare (AOR = 5.323 [95% CI 2.866–9.888]), mobility difficulties (AOR = 9.802 [95% CI 4.005–23.993]), positive attitude (AOR = 3.038 [95% CI 1.039–8.884]) were more likely to use IHS, after adjusting for other variables. The main barriers to IHS use included distrust and uncertainty about describing symptoms online. Conclusion Low levels of IHS use were observed among middle-aged and elderly populations in mainland China. Although IHS can benefit individuals with high healthcare needs or mobility limitations, income-related and urban–rural inequalities in IHS use persist. Addressing trust issues and enhancing digital literacy among the elderly are essential for the widespread and effective development of IHS.

Background In the context of ongoing global challenges, such as pandemics, climate change, and armed conflicts, the achievement of Sustainable Development Goal 3 (SDG 3) is confronted with multiple risks. Effectively addressing these challenges has become a pivotal issue in global health governance. This study seeks to analyze the association between the rule of law (ROL) and health-related Sustainable Development Goals (SDGs). Methods A cross-sectional ecological design was employed to investigate the association between the ROL Index and health-related indicators, including life expectancy, healthy life expectancy, and 13 indicators under SDG 3. Multiple linear regression analyses were conducted, adjusting for gross national income (GNI) per capita, current health expenditure (CHE), total population, urbanization, and the Gender Gap Index (GGI). Subgroup analyses were further performed to assess the potential influence of national income levels on these associations. Results The Pearson correlation analysis showed that the ROL Index was markedly correlated with 15 health-related indicators. After adjusting for confounders, the ROL Index was positively associated with life expectancy, healthy life expectancy, DTP3 immunization coverage, and the density of medical doctors, nursing and midwifery personnel, and pharmacists. It was also negatively associated with adolescent birth rate. Subgroup analyses further revealed that the associations of the ROL Index with DTP3 immunization coverage, adolescent birth rate, and the density of nursing and midwifery personnel varied across national income levels. Conclusions This study is the first to identify the significant associations between the ROL and critical health outcomes, the health workforce, and immunization service indicators under the SDG 3 framework. It suggests that the ROL is an effective yet underestimated and underutilized tool for advancing global health. Policymakers should prioritize strengthening national legal frameworks and integrating ROL principles into health systems. These integrated efforts should focus on tackling corruption, executing public legal education, protecting the rights of health workers, eradicating workplace discrimination, and improving sexuality education and reproductive healthcare in low- and lower-middle-income countries.

Humans typically make decisions based on past experiences and observations, while in the field of robotic manipulation, the robot’s action prediction often relies solely on current observations, which tends to make robots overlook environmental changes or become ineffective when current observations are suboptimal. To address this pivotal challenge in robotics, inspired by human cognitive processes, we propose our method which integrates historical learning and multi-view attention to improve the performance of robotic manipulation. Based on a spatio-temporal attention mechanism, our method not only combines observations from current and past steps but also integrates historical actions to better perceive changes in robots’ behaviours and their impacts on the environment. We also employ a mutual information-based multi-view attention module to automatically focus on valuable perspectives, thereby incorporating more effective information for decision-making. Furthermore, inspired by human visual system which processes both global context and local texture details, we have devised a method that merges semantic and texture features, aiding robots in understanding the task and enhancing their capability to handle fine-grained tasks. Extensive experiments in RLBench and real-world scenarios demonstrate that our method effectively handles various tasks and exhibits notable robustness and adaptability.

Background Current negativity definition in esophageal cancer screening overlooks the risk heterogeneity between individuals with non-dysplastic Lugol’s unstained lesions (ND-LULs) and normal-stained epithelium. We aimed to define the screening negativity by the incidence risk of severe dysplasia and above lesions (SDAs) after chromoendoscopy and ascertain their re-screening interval. Methods We enrolled 815 participants with ND-LULs and 14,123 with normal-stained epithelium from the screening arm of a community-based randomized controlled trial (RCT). The control groups included the RCT’s unscreened arm ( n  = 16,473), and population controls matched 1:5 by birth year, sex, and village (4075 controls for ND-LULs group, 70,615 controls for normal-stained group). All participants were followed up for up to 10 years. Poisson regression and the cumulative incidence function compared the cumulative incidence of SDA between groups. Results Compared with the RCT control, the cumulative incidence of SDAs was significantly higher in the ND-LULs group over 10 years (adjusted IRR  = 3.16, 95% CI : 2.02–4.76) but lower in the normal-stained group (adjusted IRR  = 0.52, 95% CI : 0.37–0.72). Similar results were achieved using the general population control. The cumulative incidence of SDAs in the ND-LULs group significantly exceeded controls after 2–3 years while remaining consistently lower in the normal-stained group over 10 years. Conclusions Individuals with normal Lugol staining should be considered the genuinely screening-negative population for esophageal cancer. A 10-year screening interval is recommended for normal-stained individuals, while 2–3 years are necessary for ND-LULs.

Epithelial ovarian cancer (EOC) is the leading cause of death among gynecological malignancies, and the tumors with advanced-stage are frequently characterized by extensive metastasis. Although metabolic reprogramming of amino acids represents a hallmark of cancer, its specific role in the metastatic progression of EOC remains poorly understood. Here, we identified a critical metabolic vulnerability in omental metastasis of EOC. Despite defective endogenous synthesis, arginine accumulation depends on exogenous uptake. In vivo experiments demonstrated that dietary arginine deprivation suppressed tumor growth and metastasis, whereas supplementation or enhanced uptake of arginine promoted tumor cell proliferation, invasion, and migration in vitro. Mechanistically, increased arginine binds to the RNA helicase DDX3X, inducing nuclear retention of DDX3X and further promoting the transcription of DNA damage response (DDR)-related genes, thereby facilitating DDR through activating the ATM/CHK2/P53 axis to enable cancer cells to survive under metastatic stress. Notably, arginine restriction or pharmacological inhibition of DDX3X did effectively suppress both primary tumor growth and omental metastasis in mouse models. Collectively, our findings reveal that arginine is a metabolic vulnerability in omental metastasis of EOC, indicating that arginine restriction and DDX3X inhibition represent promising therapeutic strategies.

The escalating crisis of antibiotic resistance, particularly concerning foodborne pathogens such as Staphylococcus aureus and its biofilm contamination, has emerged as a major global challenge to food safety and public health. Biofilm formation significantly enhances the pathogen’s resistance to environmental stresses and disinfectants, underscoring the urgent need for novel antimicrobial agents. In this study, we isolated Bacillus strain B673 from the saline–alkali environment of Xinjiang, conducted whole-genome sequencing, and applied antiSMASH analysis to identify ribosomally synthesized and post-translationally modified peptide (RiPP) gene clusters. By integrating an LSTM-Attention-BERT deep learning framework, we screened and predicted nine novel antimicrobial peptide sequences. Using a SUMO-tag fusion tandem strategy, we achieved efficient soluble expression in an E. coli system, and the purified products exhibited remarkable inhibitory activity against Staphylococcus aureus (MIC = 3.13 μg/mL), with inhibition zones larger than those of the positive control. Molecular docking and dynamic simulations demonstrated that the peptides can stably bind to MurE, a key enzyme in cell wall synthesis, with negative binding free energy, suggesting an antibacterial mechanism via MurE inhibition. This study provides promising candidate molecules for the development of anti-drug-resistant agents and establishes an integrated research framework for antimicrobial peptides, spanning gene mining, intelligent screening, efficient expression, and mechanistic elucidation.

Haplogroups and single‐nucleotide polymorphisms (SNP) of mitochondrial DNA (mtDNA) were associated with the prognosis of many types of cancer patients. However, whether mtDNA haplogroups contribute to clinical outcomes of colorectal cancer (CRC) in Chinese population remains to be determined. In this study, mtDNA of tissue samples from 445 CRC patients from Northwestern China was sequenced to evaluate the association between haplogroup and prognosis. The mtDNA sequencing data of 1015 CRC patients from Southern China were collected for validation. We found patients with mtDNA haplogroup M7 had a significantly higher death risk when compared with patients with other haplogroups in both Northwestern (Hazard ratio [HR] = 3.093, 95% CI = 1.768–5.411, p < 0.001) and Southern (HR = 1.607, 95% CI = 1.050–2.459, p = 0.029) China. Then, a haplogroup M7–based mtSNP classifier was selected by using LASSO Cox regression analysis. A nomogram comprising the mtSNP classifier and clinicopathological variables was developed to predict the prognosis of CRC patients (area under the curve [AUC] 0.735, 95% CI = 0.679–0.791). Furthermore, patients with high‐ and low‐risk scores calculated by the haplogroup M7–based mtSNP classifier exhibited significantly different overall survival (OS) and recurrence‐free survival (RFS) (all p < 0.001). Finally, RNA‐seq and immunohistochemical analyses indicated the poor prognosis of patients with haplogroup M7 may be related to mitochondrial dysfunction and immune abnormalities in CRC tissues. In conclusion, the haplogroup M7 and haplogroup M7–based mtSNP classifier seems to be a practical and reliable prognostic predictor for CRC patients, which provides a potential tool of clinical decision‐making for patients with haplogroup M7 in Chinese population. Haplogroup M7 is associated with poor outcomes in Chinese colorectal cancer (CRC) patients. The poor prognosis may be related to mitochondrial dysfunction and immune abnormalities. We developed a practical and reliable prognostic predictor based on haplogroup M7–related mtSNPs for CRC patients, which provides a potential tool of clinical decision‐making for patients with haplogroup M7 in Chinese population.