Comparison on the Electrochemical Corrosion Behavior of Ti6Al4V Alloys Fabricated by Laser Powder Bed Fusion and Casting.

The non-equilibrium solidification process in the additive manufacturing of titanium alloy leads to special microstructures, and the resulting changes in corrosion behavior are worthy of attention. In this paper, the microstructure and electrochemical corrosion behavior of Ti6Al4V alloys prepared using laser powder bed melting (LPBF) and casting are systematically compared. The results show that the LPBF-processed Ti6Al4V alloy is composed of dominant acicular α' martensite within columnar prior ß phase, and less ß disperses have also been discovered, which is significantly different from the α + ß dual-phase structure of cast Ti6Al4V alloy. Compared to the as-cast Ti6Al4V alloy, LPBF-processed Ti6Al4V alloy has a thinner and unstable passive film, and exhibits slightly poorer corrosion resistance, which is mainly related to its higher porosity, a large amount of acicular α' martensite and less ß phase compared to as-cast Ti6Al4V alloy. This result proves that suitable methods should be taken to control the relative density and phase composition of LPBF-processed Ti6Al4V alloys before application.

Exploring the Reconfigurable Memory Effect in Electroforming-Free YMnO3-Based Resistive Switches: Towards a Tunable Frequency Response.

Memristors, since their inception, have demonstrated remarkable characteristics, notably the exceptional reconfigurability of their memory. This study delves into electroforming-free YMnO3 (YMO)-based resistive switches, emphasizing the reconfigurable memory effect in multiferroic YMO thin films with metallically conducting electrodes and their pivotal role in achieving adaptable frequency responses in impedance circuits consisting of reconfigurable YMO-based resistive switches and no reconfigurable passive elements, e.g., inductors and capacitors. The multiferroic YMO possesses a network of charged domain walls which can be reconfigured by a time-dependent voltage applied between the metallically conducting electrodes. Through experimental demonstrations, this study scrutinizes the impedance response not only for individual switch devices but also for impedance circuitry based on YMO resistive switches in both low- and high-resistance states, interfacing with capacitors and inductors in parallel and series configurations. Scrutinized Nyquist plots visually capture the intricate dynamics of impedance circuitry, revealing the potential of electroforming-free YMO resistive switches in finely tuning frequency responses within impedance circuits. This adaptability, rooted in the unique properties of YMO, signifies a paradigm shift heralding the advent of advanced and flexible electronic technologies.

Identification of a Novel Homozygous Mutation in MTMR2 Gene Causes Very Rare Charcot-Marie-Tooth Disease Type 4B1.

Background: Charcot-Marie-Tooth disease (CMT) is a heterogeneous group of disorders involving peripheral nervous system. Charcot-Marie-Tooth disease 4B1 (CMT4B1) is a rare subtype of CMT. CMT4B1 is an axonal demyelinating polyneuropathy with an autosomal recessive mode of inheritance. Patients with CMT4B1 usually manifested with dysfunction of the motor and sensory systems which leads to gradual and progressive muscular weakness and atrophy, starting from the peroneal muscles and finally affecting the distal muscles. Germline mutations in MTMR2 gene causes CMT4B1. Material and Methods: In this study, we investigated a 4-year-old Chinese boy with gradual and progressive weakness and atrophy of both proximal and distal muscles. The proband's parents did not show any abnormalities. Whole-exome sequencing and Sanger sequencing were performed. Results: Whole-exome sequencing identified a novel homozygous nonsense mutation (c.118A>T; p.Lys40*) in exon 2 of MTMR2 gene in the proband. This novel mutation leads to the formation of a truncated MTMR2 protein of 39 amino acids instead of the wild- type MTMR2 protein of 643 amino acids. This mutation is predicted to cause the complete loss of the PH-GRAM domain, phosphatase domain, coiled-coil domain, and PDZ-binding motif of the MTMR2 protein. Sanger sequencing revealed that the proband's parents carried the mutation in a heterozygous state. This mutation was absent in 100 healthy control individuals. Conclusion: This study reports the first mutation in MTMR2 associated with CMT4B1 in a Chinese population. Our study also showed the importance of whole-exome sequencing in identifying candidate genes and disease-causing variants in patients with CMT4B1.

Advocacy in pediatric gastroenterology: An academic clinician's impact and guide.

The current state of policy-making necessitates clinicians and their organizations to be more engaged. This article provides practical examples of how to engage in various levels of advocacy within pediatric gastroenterology.

One-day examination of triple nuclear medicine imaging and application in evaluating transarterial embolization.

A diagnosis based on multiple nuclear medicine imaging (NMI) was more comprehensive in approaching the nature of pathological changes. In this research, a method to realize triple NMIs within one day was developed based on the reasonable arrangements of 68Ga-RGD PET/CT specialized on neovascularization, 99mTc-HL-91 SPECT/CT specialized on hypoxia and 18F-FDG PET/CT specialized on tumor metabolism. Feasibility was verified in evaluating the therapeutic effects of transarterial embolization (TAE) performed on rabbit models with VX2 tumor. Radiation dosimetry was carried out to record the radiation exposure from multiple injections of radiopharmaceuticals. In results, the one-day examination of triple NMIs manifested the diversity of the postoperative histological changes, including the local neovascularization induced by embolization, hypoxic state of embolized tissues, and suppression of tumor metabolism. More importantly, radiation dosage from radiopharmaceuticals was limited below 5.70 ± 0.90 mSv. In conclusion, the strong timeliness and complementarity of one-day examination of triple nuclear medicine imaging made it clinically operative and worthy of popularizing. There was flexibility in combining distinct NMIs according to the clinical demands, so as to provide comprehensive information for diagnosis.

Gratification and its associations with problematic internet use: A systematic review and meta-analysis using Use and Gratification theory.

Problematic Internet Use (PIU) has been a growing issue for two decades, and many researchers have sought to explain its occurrence. Use and Gratification Theory (UGT) has guided empirical studies investigating the associations between gratification and PIU. However, their results appear equivocal. This study aimed to synthesize research findings applying UGT and pinpoint the associations between different gratifications and PIU. Effect sizes were pooled to obtain an overall effect size. Gratifications were then classified into four types (i.e., content, social, self-presentation, and process) according to the suggestions of previous studies and the measurement of included studies. Based on 216 effect sizes from 57 samples with 38,492 participants (mean age = 24.3; 55.1 % female), random effect model analyses yielded a medium effect size (r = 0.303, p <.001, 95 % CI [0.263, 0.343]), indicating a positive association between general gratification and PIU. Subgroup analyses revealed that all four gratifications were positively associated with PIU; self-presentation showed the largest effect size, followed by process gratification.This study enhances the conceptual relevance of UGT in understanding PIU and highlights the importance of process and self-presentation gratification as predictors for PIU in certain contexts, such as among university students and in Asian countries.

Value of neutrophil-to-lymphocyte ratio in neuronal intranuclear inclusion disease.

Background and objectives: The neutrophil-to-lymphocyte ratio (NLR) is a widely recognized marker of inflammation in peripheral blood. However, its specific role in neuronal intranuclear inclusion disease (NIID) has not been reported. This study aims to investigate the relationship between NIID and NLR. Methods: A multicenter database was collected, including 157 NIID patients from seven hospitals (The Affiliated Hospital of Xuzhou Medical University, Yantai Yuhuangding Hospital, Tengzhou Central People's Hospital,The Affiliated Brain Hospital of Nanjing Medical University, Liaocheng People's Hospital,The Second Hospital of Shandong University, Inner Mongolia People's Hospital, Xuanwu Hospital Capital Medical University,The First Affiliated Hospital of USTC), along with 157 age- and gender-matched healthy control subjects. White blood cell counts (including neutrophils, lymphocytes, monocytes, eosinophils, and basophils) were obtained, and the NLR was calculated. Additionally, cognitive impairment was assessed using clinical evaluation scores. Results: NIID patients exhibited significantly higher NLR values compared to the healthy control group (p < 0.001). The plasma NLR levels in NIID patients showed a weak positive correlation with disease duration (r = 0.219, p = 0.016). However, no significant correlations were found between NLR and age of onset or cognitive impairment (p > 0.05). Conclusion: There is a significant association between NLR and NIID, suggesting a potential role of peripheral blood inflammation in the pathogenesis of NIID.

Parental Depression and Self-Stigma Among Chinese Young People Living With Depression: A Qualitative Study.

Self-stigma is detrimental to psychosocial well-being and the recovery journey among people living with depression. However, there has been limited research exploring the experience of stigma internalization when depression runs in families. This study aims to address this gap by (1) characterizing the manifestations of self-stigma among individuals living with depression whose parent(s) also have depression and (2) exploring the potential mechanisms underlying the impact of parental depression on self-stigma. Essential principles of the constructivist grounded theory approach were adopted to collect data through in-depth interviews with 27 participants aged 15-30, living in Mainland China. Many participants perceived depression running in their family as an endless disaster and an incurable illness. These beliefs further led to stigmatizing emotions (such as suppression, anger, and guilt) and behaviors (such as concealment and social withdrawal). Participants also highlighted ambivalent intergenerational relationships, tense family atmospheres, lower parental emotional involvement and support, and a lack of family flexibility due to parental depression. Furthermore, parental depression impacted participants' self-stigma by interfering with family relationships, family functioning, and parenting styles. It also shaped their perceptions of family, illness attribution, and public stigma. Additionally, parental depression had an impact on participants' social functioning, self-esteem, and personality, making them more susceptible to self-stigma. This study emphasizes the crucial role that the family plays in the internalization of stigma among individuals living with depression. It suggests that family dynamics, rather than family structure or economic backgrounds alone, shape this process.

Construction of a Multi-Indicator Model for Abscess Prediction in Granulomatous Lobular Mastitis Using Inflammatory Indicators.

Background: Granulomatous lobular mastitis (GLM) is a chronic inflammatory breast disease, and abscess formation is a common complication of GLM. The process of abscess formation is accompanied by changes in multiple inflammatory markers. The present study aimed to construct a diagnosis model for the early of GLM abscess formation based on multiple inflammatory parameters. Methods: Based on the presence or absence of abscess formation on breast magnetic resonance imaging (MRI), 126 patients with GLM were categorised into an abscess group (85 patients) and a non-abscess group (41 patients). Demographic characteristics and the related laboratory results for the 9 inflammatory markers were collected. Logistics univariate analysis and collinearity test were used for selecting independent variables. A regression model to predict abscess formation was constructed using Logistics multivariate analysis. Results: The univariate and multivariate analysis showed that the N, ESR, IL-4, IL-10 and INF-α were independent diagnostic factors of abscess formation in GLM (P<0. 05). The nomogram was drawn on the basis of the logistics regression model. The area under the curve (AUC) of the model was 0.890, which was significantly better than that of a single indicator and the sensitivity and specificity of the model were high (81.2% and 85.40%, respectively). These results predicted by the model were highly consistent with the actual diagnostic results. The results of this calibration curve indicated that the model had a good value and stability in predicting abscess formation in GLM. The decision curve analysis (DCA) demonstrated a satisfactory positive net benefit of the model. Conclusion: A predictive model for abscess formation in GLM based on inflammatory markers was constructed in our study, which may provide a new strategy for early diagnosis and treatment of the abscess stage of GLM.

Pneumothorax and pulmonary hemorrhage after C-arm cone-beam computed tomography-guided percutaneous transthoracic lung biopsy: incidence, clinical significance, and correlation.

OBJECTIVE: This study aimed to assess the incidence and clinical significance of pneumothorax (PTX) and pulmonary hemorrhage (PH) after percutaneous transthoracic lung biopsy (PTLB) guided by C-arm cone-beam computed tomography (CBCT). Furthermore, this study aimed to examine the relationships between PTX and PH with demographics, clinical characteristics, imaging, and PTLB parameters. METHODS: A retrospective analysis was conducted on 192 patients who underwent PTLB at our hospital between January 2019 and October 2022. Incidences of PTX and PH were recorded. PTX was considered clinically significant if treated with chest tube insertion (CTI), and PH if treated with bronchoscopes or endovascular treatments. The various factors on PTX and PH were analyzed using the Chi-squared test and Student t-test. Logistic regression analyses were then used to determine these factors on the correlation to develop PTX and PH. RESULTS: PTX occurred in 67/192 cases (34.9%); CTI was required in 5/67 (7.5%). PH occurred in 63/192 cases (32.8%) and none of these cases required bronchoscopes or endovascular treatments. Lesion diameter (ORPTX = 0.822; ORPH = 0.785), presence of pulmonary emphysema (ORPH = 2.148), the number of samples (ORPH = 1.834), the use of gelfoam (ORPTX = 0.474; ORPH = 0.341) and ablation (ORPTX = 2.351; ORPH = 3.443) showed statistically significant correlation to PTX and PH. CONCLUSIONS: CBCT-guided PTLB is a safe and effective method for performing lung biopsies. The use of gelfoam has been shown to reduce the occurrence of PTX and PH. However, caution should be exercised when combining radiofrequency ablation with PTLB, as it may increase the risk of PTX and PH.

Decline in Working Memory in Stable Schizophrenia May Be Related to Attentional Impairment: Mediating Effects of Negative Symptoms, a Cross-Sectional Study.

Background: Schizophrenia (SCZ) is a severe mental illness, Cognitive deficits and negative symptoms (NS) are prevalent in individuals with SCZ and are crucial indicators of functional recovery. It is well known that cognitive symptoms and negative symptoms are interrelated and that negative symptoms can affect the ability to take cognitive tests. However, the specific relationship between attention, working memory (WM), and NS in stable SCZ remains unclear. This study aims to explore these associations and provide valuable insights for the subsequent treatment of SCZ. Methods: We conducted a comprehensive assessment of 145 patients with stable SCZ using the Chinese Brief Neurocognitive Suite of Tests (C-BCT) and the Positive and Negative Symptom Scale (PANSS). Results: Patients with abnormal cognition exhibited significantly higher PANSS total scores, cognitive symptom scores, and NS than those with normal cognition (P<0.05). Pearson's correlation analysis revealed significant positive correlations between digital breadth(DB) and continuous operation(CO) (r=0.389, P<0.001), as well as a significant negative correlation between DB and NS (r=-0.291, P<0.001). Moreover, CO showed a negative correlation with NS (r=-0.173, P<0.05). However, no significant correlations were found between the digital breadth-anterograde score and CO or NS (r=0.148, P>0.05; r=-0.068, P>0.05). Notably, NS were identified as a mediator in the relationship between attention and WM (effect size=0.024). Conclusion: Our findings highlight significant associations between WM, attention, and NS in individuals with stable SCZ. Moreover, attention not only directly impacts WM but also indirectly influences it through NS. Addressing cognitive deficits and NS in the treatment of SCZ may lead to improved overall outcomes for affected individuals.

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.

Early assessment, with the help of machine learning methods, can aid clinicians in optimizing the diagnosis and treatment process, allowing patients to receive critical treatment time. Due to the advantages of effective information organization and interpretable reasoning, knowledge graph-based methods have become one of the most widely used machine learning algorithms for this task. However, due to a lack of effective organization and use of multi-granularity and temporal information, current knowledge graph-based approaches are hard to fully and comprehensively exploit the information contained in medical records, restricting their capacity to make superior quality diagnoses. To address these challenges, we examine and study disease diagnosis applications in-depth, and propose a novel disease diagnosis framework named FIT-Graph. With novel medical multi-grained evolutionary graphs, FIT-Graph efficiently organizes the extracted information from various granularities and time stages, maximizing the retention of valuable information for disease inference and ensuring the comprehensiveness and validity of the final disease inference. We compare FIT-Graph with two real-world clinical datasets from cardiology and respiratory departments with the baseline. The experimental results show that its effect is better than the baseline model, and the baseline performance of the task is improved by about 5% in multiple indices.

Enhancing the health knowledge and health literacy of recently resettled refugees through classroom-based instructional methods.

Health education can elevate health literacy, which is associated with health knowledge, health-seeking behaviors and overall improved health outcomes. Refugees are particularly vulnerable to the effects of low health knowledge and literacy, which can exacerbate already poor health stemming from their displacement experience. Traditional learning methods including classroom-based instruction are typically how health-related information is presented to refugees. Through a series of interactive classes focused on specific health topics relevant to the resettled refugee population, this study evaluated the effectiveness of a classroom-based health education model in enhancing the health knowledge of recently resettled refugees. We used the Wilcoxon signed-rank test to evaluate differences in pre- and post-class knowledge through test performance. We found a significant improvement in health knowledge in two refugee groups: females and those who were employed. Culturally and socially sensitive considerations including language inclusiveness, class timing, transportation and childcare provisions are important when creating an educational program for individuals with refugee backgrounds. Developing focused approaches to instruction that enhance health knowledge could lead to better health literacy and ultimately improve health-related behaviors and outcomes in the refugee population.

Hsa-LINC02418/mmu-4930573I07Rik regulated by METTL3 dictates anti-PD-L1 immunotherapeutic efficacy via enhancement of Trim21-mediated PD-L1 ubiquitination.

BACKGROUND: Limited response to programmed death ligand-1 (PD-L1)/programmed death 1 (PD-1) immunotherapy is a major hindrance of checkpoint immunotherapy in non-small cell lung cancer (NSCLC). The abundance of PD-L1 on the tumor cell surface is crucial for the responsiveness of PD-1/PD-L1 immunotherapy. However, the negative control of PD-L1 expression and the physiological significance of the PD-L1 inhibition in NSCLC immunotherapy remain obscure. METHODS: Bioinformatics analysis was performed to profile and investigate the long non-coding RNAs that negatively correlated with PD-L1 expression and positively correlated with CD8+T cell infiltration in NSCLC. Immunofluorescence, in vitro PD-1 binding assay, T cell-induced apoptosis assays and in vivo syngeneic mouse models were used to investigate the functional roles of LINC02418 and mmu-4930573I07Rik in regulating anti-PD-L1 therapeutic efficacy in NSCLC. The molecular mechanism of LINC02418-enhanced PD-L1 downregulation was explored by immunoprecipitation, RNA immunoprecipitation (RIP), and ubiquitination assays. RIP, luciferase reporter, and messenger RNA degradation assays were used to investigate the m6A modification of LINC02418 or mmu-4930573I07Rik expression. Bioinformatics analysis and immunohistochemistry (IHC) verification were performed to determine the significance of LINC02418, PD-L1 expression and CD8+T cell infiltration. RESULTS: LINC02418 is a negative regulator of PD-L1 expression that positively correlated with CD8+T cell infiltration, predicting favorable clinical outcomes for patients with NSCLC. LINC02418 downregulates PD-L1 expression by enhancing PD-L1 ubiquitination mediated by E3 ligase Trim21. Both hsa-LINC02418 and mmu-4930573I07Rik (its homologous RNA in mice) regulate PD-L1 therapeutic efficacy in NSCLC via Trim21, inducing T cell-induced apoptosis in vitro and in vivo. Furthermore, METTL3 inhibition via N6-methyladenosine (m6A) modification mediated by YTHDF2 reader upregulates hsa-LINC02418 and mmu-4930573I07Rik. In patients with NSCLC, LINC02418 expression is inversely correlated with PD-L1 expression and positively correlated with CD8+T infiltration. CONCLUSION: LINC02418 functions as a negative regulator of PD-L1 expression in NSCLC cells by promoting the degradation of PD-L1 through the ubiquitin-proteasome pathway. The expression of LINC02418 is regulated by METTL3/YTHDF2-mediated m6A modification. This study illuminates the underlying mechanisms of PD-L1 negative regulation and presents a promising target for improving the effectiveness of anti-PD-L1 therapy in NSCLC.

[Impact of Emission Reduction in Different Sectors on Air Quality and Atmospheric Temperature in Eastern China].

China's emission reduction policy will focus on the synergistic control of air pollution and atmospheric warming in future. However, the impacts of emission reductions in different sectors on air quality and atmospheric temperature vary significantly. Using a two-way coupled air quality model(WRF-Chem), this study quantified the impacts of anthropogenic emission reductions from various sectors(industrial, residential, transportation, thermal power plants, and agricultural sectors) on air quality and atmospheric temperature in eastern China in September 2016. Emission reduction from industrial, residential, transportation, thermal power plant, and agricultural sources could effectively improve air quality, with PM2.5 reduction of 33.9%, 9.6%, 15.8%, 10.8%, and 26.7%, respectively; however, the weakened aerosol-radiation interactions resulted in more energy at the surface, further increasing the near-surface air temperature by 0.04, 0.03, 0.01, 0.03, and 0.09℃. At the top of the atmosphere, the net radiation flux decreased by 0.3, 0.8, 0.7, and 0.1 W·m-2 owing to the emission reduction from industrial, residential, traffic, and thermal power plant sectors, whereas the emission reduction from agricultural sources resulted in an increase in the net radiation flux of 0.8 W·m-2. On one hand, the emission reduction from agricultural sources led to a decrease in scattering aerosols and increase in the net radiation flux; contrastingly, it did not lead to a decrease in absorbing aerosols(black carbon), which could not offset the radiation increase caused by the decrease in scattering aerosols. Therefore, the emission reduction from agricultural sources led to the increase in net radiation flux at the top of the atmosphere and the most significant increase in near-surface temperature. It is noted that in the future, although emission reduction from agricultural sources will bring about significant air quality improvement, it will also consequently cause significant warming.

Effects of HepaSphere microsphere encapsule epirubicin with a new loading method transarterial chemoembolization: in vitro and in vivo experiments.

METHODS: HS microspheres were loaded in a solution of hypertonic saline and contrast medium at different ratios. Morphology, size distribution, and drug loading capacity of the microsphere were evaluated. Rabbits with hepatic VX2 tumors underwent conventional TACE, drug-eluting beads TACE with HS microsphere loading epirubicin by recommended method (dTACE) or a new loading method (ndTACE). The plasma and tissue epirubicin concentration, tumor necrosis, and the microsphere distribution within the tumor were assessed. RESULTS: It was found that the mean diameter of HS microspheres was effectively reduced to 102 ± 14 µm after loading with 10.0% NaCl and Ultravist (370 mg I /mL) at a ratio of 2: 8 ml. The loading capacity reached 78.7%. It was noted that the concentration of tumor epirubicin was significantly higher (p = 0.016) in the ndTACE group (11,989.8 ± 5776.6 ng/g) than the concentration in the dTACE (6516.5 ± 3682.3 ng/g) and in cTACE groups (1564.1 ± 696.1 ng/g, p < 0.001). Further, the tumor necrosis in group with the new loading method (ndTACE) was 92.4%. CONCLUSIONS: The size of HS microsphere can be effectively reduced when it is loaded with a mixture of hypertonic saline and non-ionic contrast material. HS microsphere loaded with epirubicin using the new method (ndTACE) can increase the drug concentration in tumor and hence exert better improved antitumor effect.

Efficacy and Safety of Transarterial Chemoembolization with a Three-Stage Mixed Chemoembolic Regimen for Large Unresectable Hepatocellular Carcinoma.

Objective: This study aimed to assess the treatment response, survival outcomes, and safety of a novel transarterial chemoembolization (TACE) technique with a three-stage mixed chemoembolic regimen (M-TACE) in patients with large unresectable hepatocellular carcinoma (HCC) measuring more than 5 cm in maximum diameter. Methods: Between January 2017 and March 2023, a total of 82 patients were enrolled in this retrospective cohort study. Treatment response was assessed in the first month after M-TACE; progression-free survival and overall survival (OS) were evaluated. The prognostic factors associated with patient survival were statistically analyzed by the Cox regression model. Adverse events were recorded. Results: The maximum diameter of the tumors ranged from 5.3 cm to 20.0 cm (mean 10.71 cm). The objective response (OR) and disease control rates were 74.4 and 92.7%, respectively, at 1-month follow-up. The median survival time was 22 months (95% CI, 13.10-30.90 months). The OS rates were 82.0% at six months, 62.5% at one year, and 43.0% at two years. Targeted therapy and/or immunotherapy (P=0.001) and tumor response at one month (P=0.020) were protective factors for OS. In terms of safety, no major complications occurred and the only observed decrease within the normal range occurred in albumin and platelet levels one month after the embolization procedure. This decrease in levels did not show a significant relationship with the OR rates. Conclusion: M-TACE demonstrated a promising objective tumor response, making it a viable and effective treatment option for patients with large unresectable HCC.

Model-based reinforcement learning with non-Gaussian environment dynamics and its application to portfolio optimization.

The rapid development of quantitative portfolio optimization in financial engineering has produced promising results in AI-based algorithmic trading strategies. However, the complexity of financial markets poses challenges for comprehensive simulation due to various factors, such as abrupt transitions, unpredictable hidden causal factors, and heavy tail properties. This paper aims to address these challenges by employing heavy-tailed preserving normalizing flows to simulate the high-dimensional joint probability of the complex trading environment under a model-based reinforcement learning framework. Through experiments with various stocks from three financial markets (Dow, NASDAQ, and S&P), we demonstrate that Dow outperforms the other two based on multiple evaluation metrics in our testing system. Notably, our proposed method mitigates the impact of unpredictable financial market crises during the COVID-19 pandemic, resulting in a lower maximum drawdown. Additionally, we explore the explanation of our reinforcement learning algorithm, employing the pattern causality method to study interactive relationships among stocks, analyzing dynamics of training for loss functions to ensure convergence, visualizing high-dimensional state transition data with t-SNE to uncover effective patterns for portfolio optimization, and utilizing eigenvalue analysis to study convergence properties of the environment's model.

[Impact of Summer Tropospheric Ozone Radiative Forcing on Meteorology and Air Quality in North China].

With the vigorous implementation of the Clean Air Action since 2013, the atmospheric particle pollution in China has been substantially reduced, but ozone concentrations have been increasing. Moreover, tropospheric ozone can make a difference in meteorology and air quality through its radiative forcing as an important greenhouse gas. A coupled regional meteorology-chemistry model (WRF-Chem) was used to reproduce an ozone pollution event that occurred in North China in June 2017. The impact of tropospheric ozone radiative forcing on local meteorological fields and its feedback effect on ozone air quality were analyzed through sensitivity experiments. The results revealed the excellent performance of the WRF-Chem model for meteorological parameters and ozone pollutant concentrations. Tropospheric ozone radiative forcing (TORF) increased the average near-surface temperature by 0.23 K in the Beijing-Tianjin-Hebei-Shandong Region (the maximum temperature increase could reach 0.8 K), reduced the relative humidity by 1.84%, and elevated the height of the boundary layer by 27.73 m. TORF had a weaker effect on wind speed (-0.02 m·s-1), but the generated anomalous southwestern wind was more liable to transport ozone and its precursors from upstream polluted areas to North China. Under the impacts of ozone radiation feedback, the ozone volume fraction in the study area increased by an average of 1.7% (1.23×10-9), whereas in the heavily polluted Beijing and Tianjin areas, the increase reached up to 5×10-9. Furthermore, the enhanced gas phase chemical reactions were identified as the dominant cause worsening near-surface ozone pollution by progress diagnostic analysis.