Digital divide and the health of internal elderly migrants in China: A cross-sectional study.

INTRODUCTION: Population aging and internal migration have become the "norm" in China's population development. Influenced by both "mobility" and "old age," internal elderly migrants (IEMs) face the second-level digital divide problems primarily characterized by digital technology usage gap, which can lead to adverse health outcomes. Understanding the impact of the digital divide on the health of IEMs can provide effective solutions to meet the health needs of this particular group and facilitate their better integration into a digital society. Therefore, this study aims at exploring the impact of the digital divide on the health of IEMs, and identifying priorities and recommendations for improving IEMs' health by mitigating the adverse effects of the digital divide. METHODS: In the 2017 China Migrant Dynamic Survey (CMDS), a cross­sectional sample of 169,989 internal migrants in 32 provincial units across China was recruited by stratified probability proportionate to size sampling (PPS). We focus on IEMs and require interviewees to be 60 years and older. Therefore, we excluded samples younger than 60 years of age and retained only 6,478 valid samples. Subsequently, STATA 17.0 software was applied to analyze the data. Based on the research objective and Grossman's model of health demand, we empirically tested using ordered logit regression. RESULTS: The digital divide does affect the health of IEMs in general and its negative effects tend to decrease significantly with age. In terms of groups, its impact showed noticeable group differences in residence arrangement, public health services and medical insurance coverage. Compared with IEMs who live alone or only live with their spouse, have not received public health service, and have not been covered by any medical insurance, the digital divide imposes a smaller adverse impact on the health of IEMs who live with at least one offspring, have received public health service, and have covered in at least one medical insurance. In terms of potential mechanisms, among the effects of digital divide on the health of IEMs, the mediating effect of urban integration is not significant, the social interaction has only a partial mediating effect, and the medical convenience has a significant mediating effect. CONCLUSION: Our findings confirm the existence of the third-level digital divide among IEMs concerning health, that is, the digital divide has adverse health outcomes for this group, and underscore the important implications of reducing the negative impact of the digital divide in improving the health status of IEMs.

Stabilizing Lead Halide Perovskites via an Organometallic Chemical Bridge for Efficient and Stable Photovoltaics.

Defects around the surface and grain boundaries of perovskite films normally cause severe nonradiative recombination and imbalanced charge carrier transport, further limiting both the efficiency and stability of perovskite solar cells (PSCs). To tackle this critical issue, we propose a chemical bridge strategy to reconstruct the interface using organometallic molecules. The commercially available molecule bis(diphenylphosphino)ferrocene (FcP2), with a unique bridge molecular structure, anchors and chelates Pb atoms by forming strong Pb-P bonds and further passivates both surfaces and grain boundaries. Detailed characterization revealed that bridge molecule FcP2 reconstruction can effectively suppress nonradiative recombination, and the electron delocalization properties of the ferrocene core can further achieve more balanced interfacial carrier transport. The resultant N-i-P PSC device outputs close to 25% efficiency together with one of the best reported operational stabilities, maintaining over 95% of the initial efficiency after 1000 h of continuous operation at the maximum power point under 1-sun illumination.

Chemical Bath Deposited Antimony Oxide Thin Films for Efficient Perovskite Solar Cells.

The metal oxide electron transport layers (ETLs) of n-i-p perovskite solar cells (PSCs) are dominated by TiO2 and SnO2, while the efficacy of the other metal oxide ETLs still lags far behind. Herein, an emerging, economical, and environmentally friendly metal oxide, antimony oxide (Sb2Ox, x = 2.17), prepared by chemical bath deposition is reported as an alternative ETL for PSCs. The deposited Sb2Ox film is amorphous and very thin (∼10 nm) but conformal on rough fluorine-doped tin oxide substrates, showing matched energy levels, efficient electron extraction, and then reduced nonradiative recombination in PSCs. The champion PSC based on the Sb2Ox ETL delivers an impressive power conversion efficiency of 24.7% under one sun illumination, which represents the state-of-the-art performance of all metal oxide ETL-based PSCs. Additionally, the Sb2Ox-based devices show improved operational and thermal stability compared to their SnO2-based counterparts. Armed with these findings, we believe this work offers an optional ETL for perovskites-based optoelectronic devices.

Intraplatelet miRNA-126 regulates thrombosis and its reduction contributes to platelet inhibition.

AIMS: MicroRNA-126 (miR-126), one of the most abundant microRNAs in platelets, is involved in the regulation of platelet activity and the circulating miR-126 is reduced during antiplatelet therapy. However, whether intraplatelet miR-126 plays a role in thrombosis and platelet inhibition remains unclear. METHODS AND RESULTS: Here, using tissue-specific knockout mice, we reported that the deficiency of miR-126 in platelets and vascular endothelial cells significantly prevented thrombosis and prolonged bleeding time. Using chimeric mice, we identified that the lack of intraplatelet miR-126 significantly prevented thrombosis. Ex vivo experiments further demonstrated that miR-126-deficient platelets displayed impaired platelet aggregation, spreading and secretory functions. Next, miR-126 was confirmed to target phosphoinositol-3 kinase regulatory subunit 2 (PIK3R2) in platelet, which encodes a negative regulator of the PI3 K/AKT pathway, enhancing platelet activation through activating the integrin αIIbß3-mediated outside-in signaling. After undergoing myocardial infarction (MI), chimeric mice lacking intraplatelet miR-126 displayed reduced microvascular obstruction and prevented MI expansion in vivo. In contrast, overexpression of miR-126 by the administration of miR-126 agonist (agomiR-126) in wild-type mice aggravated microvascular obstruction and promoted MI expansion, which can be almost abolished by aspirin administration. In patients with cardiovascular diseases, antiplatelet therapies, either aspirin alone or combined with clopidogrel, decreased the level of intraplatelet miR-126. The reduction of intraplatelet miR-126 level was associated with the decrease of platelet activity. CONCLUSIONS: Our murine and human data reveal that (i) intraplatelet miR-126 contributes to platelet activity and promotes thrombus formation, and (ii) the reduction of intraplatelet miR-126 contributes to platelet inhibition during antiplatelet therapy.

Application of neurophysiological monitoring during tethered cord release in children.

OBJECTIVE: The objective of this study was to explore the effect of intraoperative neurophysiological monitoring (IONM) on tethered spinal cord release in children. METHODS: The clinical data of 454 children with tethered cord syndrome who underwent surgery for tethered cord release were retrospectively analyzed. The children were divided into two groups: the non-IONM group and the IONM group. SPSS 26.0 software was used for statistical analysis. The evaluation indices included the effective rate and incidence of new neurological dysfunction. RESULTS: The short-term results showed that the effective rate of the non-IONM group was 14.8%, while that of the IONM group was 15.2%. Additionally, the incidence of new neurological dysfunction was 7.8% in the non-IONM group and 5.6% in the IONM group. However, there was no significant difference between the two groups (P > 0.05). The medium- to long-term follow-up had significant difference (P < 0.05), the response rate was 32.1% in the IONM group and 23.7% in the non-IONM group, and deterioration rates regarding neurological dysfunction were 3.3% in the IONM group and 8.5% in the non-IONM group. CONCLUSION: This study revealed that the use of IONM does not significantly improve the short-term treatment effect of patients undergoing surgery for tethered cord release or reduce the short-term incidence of postoperative new neurological dysfunction. However, the medium- to long-term prognoses of patients in the IONM group were better than those of patients in the non-IONM group.

Multi-grained visual pivot-guided multi-modal neural machine translation with text-aware cross-modal contrastive disentangling.

The goal of multi-modal neural machine translation (MNMT) is to incorporate language-agnostic visual information into text to enhance the performance of machine translation. However, due to the inherent differences between image and text, these two modalities inevitably suffer from semantic mismatch problems. To tackle this issue, this paper adopts a multi-grained visual pivot-guided multi-modal fusion strategy with cross-modal contrastive disentangling to eliminate the linguistic gaps between different languages. By using the disentangled multi-grained visual information as a cross-lingual pivot, we can enhance the alignment between different languages and improve the performance of MNMT. We first introduce text-guided stacked cross-modal disentangling modules to progressively disentangle image into two types of visual information: MT-related visual and background information. Then we effectively integrate these two kinds of multi-grained visual elements to assist target sentence generation. Extensive experiments on four benchmark MNMT datasets are conducted, and the results demonstrate that our proposed approach achieves significant improvement over the other state-of-the-art (SOTA) approaches on all test sets. The in-depth analysis highlights the benefits of text-guided cross-modal disentangling and visual pivot-based multi-modal fusion strategies in MNMT. We release the code at https://github.com/nlp-mnmt/ConVisPiv-MNMT.

Can E-commerce development policies promote the high-quality development of agriculture?-A quasi-natural experiment based on a China's E-commerce demonstration city.

As a new business model, E-commerce brings new changes to the global economy and society. So, can E-commerce development policies promote high-quality agricultural development? This article regards the pilot construction of national e-commerce demonstration cities as a quasi-natural experiment for the development of e-commerce. Based on the E-commerce pilot and economic and social development data of national prefecture-level cities from 2004 to 2018, the agricultural total factor productivity calculated by the Fare-Primont index method is used as the characterization of the quality of urban agricultural development, and an empirical model is constructed under the progressive Differences-in-Differences framework. This paper empirically tests the overall impact of E-commerce development on the high-quality development of agriculture and its sources, analyzes the heterogeneity and dynamics of the impact, and investigates the possible impact mechanism. The result shows that from the overall impact and its sources, the development of E-commerce in cities has a positive impact on the high-quality development of agriculture, and the impact is mainly due to its role in promoting technological innovation and economies of scale. From the perspective of heterogeneity, the larger the population size of a city, the more significant the level of e-conomic development or Internet development. From the perspective of the dynamic impact, the positive impact of e-commerce development becomes more significant over time. With the passage of time, the impact of E-commerce on high-quality agricultural development policies shows a trend of first increasing and then decreasing. Overall, this study provides empirical evidence for the rationality and effectiveness of policies and measures related to E-commerce to promote the high-quality development of agriculture.

Home-Based Medical Care Service Motivation Among Medical Staff in Beijing, China: the Role of Institutional Support.

Background: Home-based medical care services (HMCS) play a crucial role in China's response to an aging population. Given the scarcity of quantitative research on motivating medical staff in relevant institutions, this study aimed to explore the impact of institutional support on motivating the provision of HMCS. Methods: The medical staff involved in this study originated from seven community health service centers in Beijing. We utilized a self-designed questionnaire to conduct the survey, gathering socioeconomic information, institutional support for service delivery, as well as the frequency and types of services the respondents provided. Statistical analysis involved the one-way tests and multivariate regressions, and structural equation modeling (SEM) was employed to enhance the results obtained from the regression analysis. Results: A total of 673 valid questionnaires were considered, with 66.12% of respondents indicating their involvement in offering HMCS services and 51.86% reporting the provision of home-based treatment and care services. Upon adjusting for all covariates, multiple regression results highlighted that the establishment of a clear service pathway significantly influenced the motivation to provide services. Furthermore, the results obtained from SEM validated the findings derived from the regression analysis. Conclusion: Standardized institutional support is an essential means of bolstering the motivation of medical staff to provide HMCS and deserves heightened attention from health administrators.

What's the preferences of medical staff for providing health education service? - A discrete choice experiment in Beijing, China.

OBJECTIVE: To quantify medical staff preferences for providing health education service in hospitals. METHODS: This study took medical staff in the department of internal medicine of hospitals in Beijing, China as the research subjects, and designed a discrete choice experiment (DCE) to investigate the health education service provision preferences of them. Through various methods, 8 attributes and corresponding levels were determined. An online survey was conducted among the medical staff of the sample hospitals from May to June 2023. Participants' preferences were analyzed using conditional logit and mixed logit models. RESULTS: Finally, 831 respondents completed the questionnaire, among which 600 cases passed the consistency test. All the attributes included in this study had an impact on medical staff' health education service preferences (P < 0.001). The most important one with the greatest impact on the health education service delivery behavior of the respondents was "department working atmosphere-encouraging health education" (ß = 4.062, P < 0.001). CONCLUSION: In this study, the departmental work atmosphere and performance bonuses emerged as crucial factors influencing the engagement of medical staff in health education work. PRACTICAL IMPLICATIONS: Hospitals should prioritize measures to improve the health education working atmosphere in departments to increase the enthusiasm of medical staff to provide services.

Risk of fall in patients with chronic kidney disease: results from the China health and retirement longitudinal study (CHARLS).

BACKGROUND: Chronic kidney disease (CKD), often coexisting with various systemic disorders, may increase the risk of falls. Our study aimed to assess the prevalence and risk of falls among patients with CKD in China. METHODS: We included patients with/without CKD from China Health and Retirement Longitudinal Study (CHARLS). Our primary outcome was the occurrence of fall accidents within the past 2 years. To enhance the robustness of our findings, we employed a multivariable logistic regression model, conducted propensity score analysis, and applied an inverse probability-weighting model. RESULTS: A total of 12,658 participants were included, the prevalence of fall accident rates were 17.1% (2,028/11,837) among participants without CKD and 24.7% (203/821) among those with CKD. In the inverse probability-weighting model, participants with CKD exhibited higher fall accident rates (OR = 1.28, 95% CI: 1.08-1.53, p = 0.005 ). Sensitivity and subgroup analysis showed the results still stable. CONCLUSIONS: The population in China afflicted with CKD has a significantly heightened risk of experiencing falls, underscoring the crucial importance of intensifying efforts in assessing and preventing fall risks.

Self-adaptive attention fusion for multimodal aspect-based sentiment analysis.

Multimodal aspect term extraction (MATE) and multimodal aspect-oriented sentiment classification (MASC) are two crucial subtasks in multimodal sentiment analysis. The use of pretrained generative models has attracted increasing attention in aspect-based sentiment analysis (ABSA). However, the inherent semantic gap between textual and visual modalities poses a challenge in transferring text-based generative pretraining models to image-text multimodal sentiment analysis tasks. To tackle this issue, this paper proposes a self-adaptive cross-modal attention fusion architecture for joint multimodal aspect-based sentiment analysis (JMABSA), which is a generative model based on an image-text selective fusion mechanism that aims to bridge the semantic gap between text and image representations and adaptively transfer a textual-based pretraining model to the multimodal JMASA task. We conducted extensive experiments on two benchmark datasets, and the experimental results show that our model significantly outperforms other state of the art approaches by a significant margin.

Exploring Bismuth Coordination Complexes as Visible-Light Absorbers: Synthesis, Characterization, and Photophysical Properties.

Bismuth-based coordination complexes are advantageous over other metal complexes, as bismuth is the heaviest nontoxic element with high spin-orbit coupling and potential optoelectronics applications. Herein, four bismuth halide-based coordination complexes [Bi2Cl6(phen-thio)2] (1), [Bi2Br6(phen-thio)2] (2), [Bi2I6(phen-thio)2] (3), and [Bi2I6(phen-Me)2] (4) were synthesized, characterized, and subjected to detailed photophysical studies. The complexes were characterized by single-crystal X-ray diffraction, powder X-ray diffraction, and NMR studies. Spectroscopic analyses of 1-4 in solutions of different polarities were performed to understand the role of the organic and inorganic components in determining the ground- and excited-state properties of the complexes. The photophysical properties of the complexes were characterized by ground-state absorption, steady-state photoluminescence, microsecond time-resolved photoluminescence, and absorption spectroscopy. Periodic density functional theory (DFT) calculations were performed on the solid-state structures to understand the role of the organic and inorganic parts of the complexes. The studies showed that changing the ancillary ligand from chlorine (Cl) and bromine (Br) to iodine (I) bathochromically shifts the absorption band along with enhancing the absorption coefficient. Also, changing the halides (Cl, Br to I) affects the photoluminescent quantum yields of the ligand-centered (LC) emissive state without markedly affecting the lifetimes. The combined results confirmed that ground-state properties are strongly influenced by the inorganic part, and the lower-energy excited state is LC. This study paves the way to design novel bismuth coordination complexes for optoelectronic applications by rigorously choosing the ligands and bismuth salt.

High-Throughput Deposition of Recyclable SnO2 Electrodes toward Efficient Perovskite Solar Cells.

Chemical bath deposited (CBD) SnO2 is one of the most prevailing electron transport layers for realizing high-efficiency perovskite solar cells (PSCs) so far. However, the state-of-the-art CBD SnO2 process is time-consuming, contradictory to its prospect in industrialization. Herein, a simplified yet efficient method is developed for the fast deposition of SnO2 electrodes by incorporating a concentrated Sn source stabilized by the ethanol ligand with antimony (Sb) doping. The higher concentration of Sn source promotes the deposition rate, and Sb doping improves the hole-blocking capability of the CBD SnO2 layer so that its target thickness can be reduced to further save the deposition time. As a result, the deposition time can be appreciably reduced from 3-4 h to only 5 min while maintaining 95% of the maximum efficiency, indicating the power of the method toward high-throughput production of efficient PSCs. Additionally, the CBD SnO2 substrates are recyclable after removing the upper layers of complete PSCs, and the refurbished PSCs can maintain ≈98% of their initial efficiency after three recycling-and-fabrication processes.

6-Gingerol alleviates placental injury in preeclampsia by inhibiting oxidative stress via BNIP3/LC3 signaling-mediated trophoblast mitophagy.

Background and aims: Preeclampsia (PE) is the leading cause of maternal and fetal morbidity and mortality worldwide. Apoptosis of trophoblast cells induced by oxidative stress is a principal reason of placental injury in PE. 6-Gingerol, an antioxidant from ginger, plays an important role in many disease models, but its effect on obstetric diseases has not been elucidated. In this study, we investigated the protective effect of 6-gingerol against placental injury. Methods: In vitro hypoxia/reoxygenation (H/R) model of HTR8/Svneo cells and preeclamptic mice model were established to simulate PE. The effects of 6-Gingerol on PE were evaluated by morphological detection, biochemical analysis, and Western blot. Results: We found that H/R treatment induced cell apoptosis, increased the production of reactive oxygen species, malondialdehyde and lactate dehydrogenase, and decreased superoxide dismutase in trophoblast. In addition, the polarization of mitochondrial membrane potential and the cellular calcium flux were also destroyed under H/R condition, which also activated BCL2-interacting protein 3 (BNIP3) and provoked excessive mitophagy. Importantly, 6-Gingerol reversed these corrosive effects. Furthermore, the placenta damage in PE-like mouse caused by the cell apoptosis, oxidative stress and mitophagy was mitigated by 6-Gingerol. Conclusion: These findings suggest that 6-Gingerol exerts a protective effect against placental injury in PE by reducing oxidative stress and inhibiting excessive mitophagy caused by mitochondrial dysfunction.

Elucidating the polycyclic aromatic hydrocarbons involved in soot inception.

Polycyclic aromatic hydrocarbons are the main precursors to soot particles in combustion systems. A lack of direct experimental evidence has led to controversial theoretical explanations for the transition from gas-phase species to organic soot clusters. This work focuses on sampling infant soot particles from well-defined flames followed by analysis using state-of-the-art mass spectrometry. We found that PAH molecules present in soot particles are all stabilomers. Kinetic Monte Carlo simulations and thermodynamic stability calculations further identify the detected PAHs as peri-condensed and without aliphatic chains. Van der Waals forces can easily link PAHs of such size and shape to form PAH dimers and larger clusters under the specified flame conditions. Our results provide direct experimental evidence that soot inception is initiated by a physical process under typical flame conditions. This work improves our understanding of aerosol particulates, which has implications for their environmental and climate change impacts.

Efficacy and safety of liraglutide for weight management in children and adolescents: a systematic review and meta-analysis of randomized controlled trials.

Obesity represents a risk factor for multiple coexisting conditions and complications. Liraglutide is mainly reserved for populations who fail to achieve weight loss goals with lifestyle changes alone. This study aims to systematically evaluate the safety and effectiveness of liraglutide in weight management in children and youth. A systematic search was performed of PubMed, Embase, Cochrane Library, and Web of Science from inception to February 23rd, 2023. Randomized controlled trials (RCTs) evaluating the effects of liraglutide in children and youth were included. All data analyses were performed using Review Manager 5.3 version. Seven eligible articles were finally included, covering a population of 547 participants. Liraglutide use was associated with reduced body weight (WMD: -2.13 kg; 95%CI: -4.23, -0.03), BMI (WMD: -1.56 kg/m2; 95% CI: -2.41, -0.7), and BMI SDS (WMD: -0.17; 95% CI: -0.26, -0.08). Similar associations were found in HbA1c (WMD: -0.29%; 95% CI: -0.52, -0.06) and fasting plasma glucose (SMD: -0.39; 95% CI: -0.64, -0.14). Subgroup analysis shows an improvement in HbA1c control only among children with type 2 diabetes (WMD: -1.06%; 95% CI: -1.44, -0.67). No differences were found in fasting serum insulin, SBP, DBP, HDL, LDL, and TG between liraglutide and placebo. In addition, no difference was found in the frequencies of adverse events, serious adverse events, and adverse events resulting in discontinuation of therapy between liraglutide and placebo treatment groups. CONCLUSION: Liraglutide is safe and effective in weight-reducing and glycemic control in children and adolescents. WHAT IS KNOWN: • A few first-line treatment of these children and adolescents with overweight and obesity is a multi-component lifestyle intervention. • Lifestyle modifications are not suitable for all individuals, therefore, new treatment strategies urgent need to be established. WHAT IS NEW: • This is the first meta-analysis conducted to assess the efficacy and safety of liraglutide for weight management in children and adolescents. • Liraglutide is safe and effective in weight-reducing and glycemic control in children and adolescents.

PM2.5 leads to adverse pregnancy outcomes by inducing trophoblast oxidative stress and mitochondrial apoptosis via KLF9/CYP1A1 transcriptional axis.

Epidemiological studies have demonstrated that fine particulate matter (PM2.5) is associated with adverse obstetric and postnatal metabolic health outcomes, but the mechanism remains unclear. This study aimed to investigate the toxicological pathways by which PM2.5 damaged placental trophoblasts in vivo and in vitro. We confirmed that PM2.5 induced adverse gestational outcomes such as increased fetal mortality rates, decreased fetal numbers and weight, damaged placental structure, and increased apoptosis of trophoblasts. Additionally, PM2.5 induced dysfunction of the trophoblast cell line HTR8/SVneo, including in its proliferation, apoptosis, invasion, migration and angiogenesis. Moreover, we comprehensively analyzed the transcriptional landscape of HTR8/SVneo cells exposed to PM2.5 through RNA-Seq and observed that PM2.5 triggered overexpression of pathways involved in oxidative stress and mitochondrial apoptosis to damage HTR8/SVneo cell biological functions through CYP1A1. Mechanistically, PM2.5 stimulated KLF9, a transcription factor identified as binding to CYP1A1 promoter region, which further modulated the CYP1A1-driven downstream phenotypes. Together, this study demonstrated that the KLF9/CYP1A1 axis played a crucial role in the toxic progression of PM2.5 induced adverse pregnancy outcomes, suggesting adverse effects of environmental pollution on pregnant females and putative targeted therapeutic strategies.

Controllable Colloidal Synthesis of MAPbI3 Perovskite Nanocrystals for Dual-Mode Optoelectronic Applications.

This study demonstrates an acetate ligand (AcO-)-assisted strategy for the controllable and tunable synthesis of colloidal methylammonium lead iodide (MAPbI3) perovskite nanocrystals (PNCs) for efficient photovoltaic and photodetector devices. The size of colloidal MAPbI3 PNCs can be tuned from 9 to 20 nm by changing the AcO-/MA ratio in the reaction precursor. In situ observations and detailed characterization results show that the incorporation of the AcO- ligand alters the formation of PbI6 octahedral cages, which controls PNC growth. A well-optimized AcO-/MA ratio affords MAPbI3 PNCs with a low defect density, a long carrier lifetime, and unique solid-state isotropic properties, which can be used to fabricate solution-processed dual-mode photovoltaic and photodetector devices with a conversion efficiency of 13.34% and a detectivity of 2 × 1011 Jones, respectively. This study provides an avenue to further the precisely controllable synthesis of hybrid PNCs for multifunctional optoelectronic applications.

Block-level dependency syntax based model for end-to-end aspect-based sentiment analysis.

End-to-End aspect-based sentiment analysis (E2E-ABSA) aims to jointly extract aspect terms and identify their sentiment polarities. Although previous research has demonstrated that syntax knowledge can be beneficial for E2E-ABSA, standard syntax dependency parsing struggles to capture the block-level relation between aspect and opinion terms, which hinders the role of syntax in E2E-ABSA. To address this issue, this paper proposes a block-level dependency syntax parsing (BDEP) based model to enhance the performance of E2E-ABSA. BDEP is constructed by incorporating routine dependency syntax parsing and part-of-speech tagging, which enables the capture of block-level relations. Subsequently. the BDEP-guided interactive attention module (BDEP-IAM) is used to obtain the aspect-aware representation of each word. Finally the adaptive fusion module is leveraged to combine the semantic-syntactic representation to simultaneously extract the aspect term and identify aspect-orient sentiment polarity. The model is evaluated on five benchmark datasets, including Laptop14, Rest _ALL, Restaurant14, Restaurant15, and TWITTER, with F1 scores of 62.67%, 76.53%, 75.42%, 62.21%, and 58.03%, respectively. The results show that our model outperforms the other compared state-of-the-art (SOTA) methods on all datasets. Additionally, ablation experiments confirm the efficacy of BDEP and IAM in improving aspect-level sentiment analysis.