Antirheumatic drug leflunomide attenuates atherosclerosis by regulating lipid metabolism and endothelial dysfunction via DHODH/AMPK signaling pathway.

The probability of cardiovascular events has been reported lower in rheumatoid arthritis (RA) patients treated with leflunomide. However, the anti-atherosclerotic and cardiovascular protective effects and metabolism of leflunomide are not explored. In this study, we assessed the potential benefits of leflunomide on atherosclerosis and revealed the underlying mechanism. ApoE-/- mice were fed a western diet (WD) alone or supplemented with leflunomide (20 mg/kg, oral gavage, once per day) for 12 weeks. Samples of the aorta, heart, liver, serum, and macrophages were collected. We found that leflunomide significantly reduced lesion size in both en-face aortas and aortic root in WD-fed ApoE-/- mice. Leflunomide also obviously improved dyslipidemia, reduced hepatic lipid content, and improved disorders of glucose and lipid metabolism in vivo. RNA-Seq results showed that leflunomide effectively regulated the genes' expression involved in the lipid metabolism pathway. Importantly, leflunomide significantly increased the phosphorylation levels of AMPKα and acetyl-CoA carboxylase (ACC) in vivo. Furthermore, leflunomide and its active metabolite teriflunomide suppressed lipid accumulation in free fatty acid (FFA)-induced AML12 cells and improved endothelial dysfunction in palmitic acid (PA)-induced HUVECs through activating AMPK signaling and inhibiting dihydroorotate dehydrogenase (DHODH) signaling pathway. We present evidence that leflunomide and teriflunomide ameliorate atherosclerosis by regulating lipid metabolism and endothelial dysfunction. Our findings suggest a promising use of antirheumatic small-molecule drugs leflunomide and teriflunomide for the treatment of atherosclerosis and related cardiovascular diseases (CVDs).

Mechanism of neurodegeneration mediated by clonal inflammatory microglia.

Langerhans cell Histiocytosis (LCH) and Erdheim-Chester disease (ECD) are clonal myeloid disorders, associated with MAP-Kinase activating mutations and an increased risk of neurodegeneration. Surprisingly, we found pervasive PU.1+ microglia mutant clones across the brain of LCH and ECD patients with and without neurological symptoms, associated with microgliosis, reactive astrocytosis, and neuronal loss. The disease predominated in the grey nuclei of the rhombencephalon, a topography attributable to a local proliferative advantage of mutant microglia. Presence of clinical symptoms was associated with a longer evolution of the disease and a larger size of PU.1+ clones (p= 0.0003). Genetic lineage tracing of PU.1+ clones suggest a resident macrophage lineage or a bone marrow precursor origin depending on patients. Finally, a CSF1R-inhibitor depleted mutant microglia and limited neuronal loss in mice suggesting an alternative to MAPK inhibitors. These studies characterize a progressive neurodegenerative disease, caused by clonal proliferation of inflammatory microglia (CPIM), with a decade(s)-long preclinical stage of incipient disease that represent a therapeutic window for prevention of neuronal death.

FTO variant is associated with changes in BMI, ghrelin and brain function following bariatric surgery.

BACKGROUND: A polymorphism in the fat mass and obesity-associated gene (FTO) is linked to enhanced neural sensitivity to food-cues and attenuated ghrelin suppression. Risk allele carriers regain more weight than non-carriers after bariatric surgery. It remains unclear how FTO variation affects brain function and ghrelin following surgery. METHODS: Resting-state functional magnetic resonance imaging (RS-fMRI) and cue-reactivity fMRI with high-/low-caloric food-cues were performed at pre-surgery and 1-, 6-, and 12-months post-surgery to examine brain function in 16 carriers with one copy of the rs9939609 A allele (AT) and 26 non-carriers (TT). Behavioral assessments up to five years post-surgery were also conducted. RESULTS: AT relative to TT group had smaller BMI-loss at 12 to 60 months post-surgery and lower resting-state activity in posterior cingulate cortex following LSG (group-by-time interaction effects). Meanwhile, AT relative to TT group showed greater food-cue responses in dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC) and insula (group effects). There were negative associations of weight-loss with ghrelin and greater activation in DLPFC, DMPFC and insula in AT but not TT group. CONCLUSION: These findings indicate that FTO variation is associated with the evolution of ghrelin signaling and brain function after bariatric surgery, which might hinder weight-loss.

Progress in the Application of Organoids-On-A-Chip in Diseases.

With the rapid development of the field of life sciences, traditional 2D cell culture and animal models have long been unable to meet the urgent needs of modern biomedical research and new drug development. Establishing a new generation of experimental models and research models is of great significance for deeply understanding human health and disease processes, and developing effective treatment measures. As is well known, long research and development cycles, high risks, and high costs are the "three mountains" facing the development of new drugs today. Organoids and organ-on-chips technology can highly simulate and reproduce the human physiological environment and complex reactions in vitro, greatly improving the accuracy of drug clinical efficacy prediction, reducing drug development costs, and avoiding the defects of drug testing animal models. Therefore, organ-on-chips have enormous potential in medical diagnosis and treatment.

Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning.

Tai Chi is a Chinese martial art that provides an adaptive and accessible exercise for older adults with varying functional capacity. While Tai Chi is widely recommended for its physical benefits, wider adoption in at-home practice presents challenges for practitioners, as limited feedback may hamper learning. This study examined the feasibility of using a wearable sensor, combined with machine learning (ML) approaches, to automatically and objectively classify Tai Chi expertise. We hypothesized that the combination of wrist acceleration profiles with ML approaches would be able to accurately classify practitioners' Tai Chi expertise levels. Twelve older active Tai Chi practitioners were recruited for this study. The self-reported lifetime practice hours were used to identify subjects in low, medium, or highly experienced groups. Using 15 acceleration-derived features from a wearable sensor during a self-guided Tai Chi movement and 8 ML architectures, we found multiclass classification performance to range from 0.73 to 0.97 in accuracy and F1-score. Based on feature importance analysis, the top three features were found to each result in a 16-19% performance drop in accuracy. These findings suggest that wrist-wearable-based ML models may accurately classify practice-related changes in movement patterns, which may be helpful in quantifying progress in at-home exercises.

Lignan Intake and Type 2 Diabetes Incidence Among US Men and Women.

Importance: Lignans are phytoestrogens abundant in Western diets and may be associated with type 2 diabetes (T2D) risk. Objective: To prospectively investigate associations between lignan intake and T2D incidence. Design, Setting, and Participants: Population-based cohort study of US men and women enrolled in the Nurses' Health Study (NHS, 1984-2018), NHSII (1991-2019), and Health Professionals Follow-Up Study (HPFS, 1986-2020), as well as 496 participants from the Men's Lifestyle Validation Study (MLVS). Participants were free of T2D, cardiovascular disease, and cancer at baseline. Data were analyzed from November 2022 to July 2023. Exposures: Total and individual lignans were assessed using a validated food frequency questionnaire, which was updated every 2 to 4 years. In the MLVS, lignan intake was measured using 2 sets of 7-day diet records (7DDRs). Main Outcomes and Measures: Incident T2D cases were confirmed using American Diabetes Association diagnostic criteria. Cox proportional hazards models were used to assess multivariable-adjusted associations. Results: The current study included 201 111 participants (mean [SD] age, 44.7 [10.1] years; 161 169 female participants [80.2%]; 2614 African American participants [1.3%], 1609 Asian participants [0.8%], 2414 Hispanic and other race or ethnicity participants [1.2%], and 194 474 White participants [96.7%]) from the HPFS, NHS, and NHSII studies. The median (IQR) total lignan intake of the highest quintile ranged from 355.1 (330.2-396.9) µg/d in NHS to 459.9 (422.2-519.5) µg/d in HPFS at the median follow-up time. Over 5 068 689 person-years, 20 291 incident cases of T2D were identified. Higher lignan intake was inversely associated with T2D incidence, except for lariciresinol. The multivariable-adjusted pooled hazard ratios (HRs) for the highest vs lowest quintiles were 0.87 (95% CI, 0.83-0.91) for total lignans, 0.72 (95% CI, 0.69-0.76) for secoisolariciresinol, 0.92 (95% CI, 0.87-0.96) for pinoresinol, 0.93 (95% CI, 0.89-0.98) for matairesinol, and 0.99 (95% CI, 0.94-1.04) for lariciresinol. Secoisolariciresinol intake exhibited a significant inverse association with T2D risk among individuals with obesity (HR, 0.75 for body mass index [BMI] ≥30; 95% CI, 0.71-0.79 vs HR, 0.82 for BMI <25; 95% CI, 0.81-0.83; P < .001 for interaction) and premenopausal women (HR, 0.67 for premenopausal women; 95% CI, 0.65-0.69 vs HR, 0.82 for the past use of hormones; 95% CI, 0.76-0.88; P = .003 for interaction). Dietary lignan assessed with 7DDRs was associated with lower HbA1c levels (percentage change range from -0.92% to 1.50%), as well as lower C-reactive protein levels and better lipid profiles. Conclusions and Relevance: This cohort study found that long-term lignan consumption was associated with a lower T2D risk, particularly among individuals with obesity and premenopausal women.

Clinical efficacy and immune response of neoadjuvant camrelizumab plus chemotherapy in resectable locally advanced oesophageal squamous cell carcinoma: a phase 2 trial.

BACKGROUND: Neoadjuvant immunotherapy is under intensive investigation for esophageal squamous cell carcinoma (ESCC). This study assesses the efficacy and immune response of neoadjuvant immunochemotherapy (nICT) in ESCC. METHODS: In this phase II trial (ChiCTR2100045722), locally advanced ESCC patients receiving nICT were enrolled. The primary endpoint was the pathological complete response (pCR) rate. Multiplexed immunofluorescence, RNA-seq and TCR-seq were conducted to explore the immune response underlying nICT. RESULTS: Totally 42 patients were enrolled, achieving a 27.0% pCR rate. The 1-year, 2-year DFS and OS rates were 89.2%, 64.4% and 97.3%, 89.2%, respectively. RNA-seq analysis highlighted T-cell activation as the most significantly enriched pathway. The tumour immune microenvironment (TIME) was characterised by high CD4, CD8, Foxp3, and PD-L1 levels, associating with better pathological regression (TRS0/1). TIME was categorised into immune-infiltrating, immune-tolerant, and immune-desert types. Notably, the immune-infiltrating type and tertiary lymphoid structures correlated with improved outcomes. In the context of nICT, TIM-3 negatively influenced treatment efficacy, while elevated TIGIT/PD-1 expression post-nICT correlated positively with CD8+ T cell levels. TCR-seq identified three TCR rearrangements, underscoring the specificity of T-cell responses. CONCLUSIONS: Neoadjuvant camrelizumab plus chemotherapy is effective for locally advanced, resectable ESCC, eliciting profound immune response that closely associated with clinical outcomes.

Deconvoluting Surface and Bulk Charge Storage Processes in Redox-Active Oxides by Integrating Electrochemical and Optical Insights.

Redox-active transition metal oxides (TMOs) play crucial roles in diverse energy storage and conversion technologies, such as batteries and pseudocapacitors. These materials show intricate electrochemical charge storage processes, encompassing both bulk ion-intercalation, typical of battery electrodes, and pseudocapacitive-like behavior localized near the surfaces. However, understanding the underlying mechanisms of charge storage in redox-active TMOs is challenging due to the coexistence of these behaviors. In this study, we propose an integrated approach that combines operando electrochemical and optical techniques to disentangle the contributions of bulk and surface phenomena. Using birnessite δ-MnO2-x as a model system, we account for surface pseudocapacitive-like layers and employ a refined model that incorporates both surface reactions and bulk chemical diffusion. This methodology allows us to extract essential kinetic parameters, establishing a fundamental framework for unraveling surface and bulk electrochemical processes. This advancement provides a valuable tool for the rational design of energy storage devices, enhancing our ability to tailor these materials for specific applications.

Oltipraz attenuated cerebral ischemia-reperfusion injury through inhibiting the oxidative stress and ferroptosis in mice.

Oltipraz (OPZ) is a synthetic dithiolethione and is considered a novel activator of nuclear factor E2-related factor 2 (Nrf2). Increasing evidence indicates that Nrf2 protects against cerebral ischemia/reperfusion (I/R) injury by antagonizing ferroptosis and lipid peroxidation. However, the protective effects of OPZ on cerebral I/R injury remain to be elucidated. We investigated the in vitro and in vivo neuroprotective effects of OPZ. Mice were subjected to middle cerebral artery occlusion/reperfusion (MCAO/R) to construct an in vivo model and PC12 cells were exposed to oxygen and glucose deprivation/reoxygenation (OGD/R) to establish an in vitro model. OPZ administration reduced the infarct volume and brain water content, and alleviated the neurological deficit of MCAO/R mice. Moreover, OPZ ameliorated MCAO/R-induced oxidative stress by decreasing the levels of 4-HNE and MDA and increasing the activities of SOD and GSH. We also found that OPZ ameliorated MCAO/R-induced ferroptosis by increasing SLC7A11 and GPX4 protein expression and downregulating ACSL4 protein expression. Similarly, the in vitro results revealed that OGD/R-induced oxidative stress and ferroptosis. Finally, mechanistic analysis revealed that OPZ significantly upregulated the Nrf2 expression and Nrf2 knockout (Nrf2 KO) abolished the OPZ-mediated protective effects. Taken together, these findings demonstrate that OPZ ameliorates cerebral I/R injury by suppressing the oxidative stress and ferroptosis.

A GPT-based EHR modeling system for unsupervised novel disease detection.

OBJECTIVE: To develop an Artificial Intelligence (AI)-based anomaly detection model as a complement of an "astute physician" in detecting novel disease cases in a hospital and preventing emerging outbreaks. METHODS: Data included hospitalized patients (n = 120,714) at a safety-net hospital in Massachusetts. A novel Generative Pre-trained Transformer (GPT)-based clinical anomaly detection system was designed and further trained using Empirical Risk Minimization (ERM), which can model a hospitalized patient's Electronic Health Records (EHR) and detect atypical patients. Methods and performance metrics, similar to the ones behind the recent Large Language Models (LLMs), were leveraged to capture the dynamic evolution of the patient's clinical variables and compute an Out-Of-Distribution (OOD) anomaly score. RESULTS: In a completely unsupervised setting, hospitalizations for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection could have been predicted by our GPT model at the beginning of the COVID-19 pandemic, with an Area Under the Receiver Operating Characteristic Curve (AUC) of 92.2 %, using 31 extracted clinical variables and a 3-day detection window. Our GPT achieves individual patient-level anomaly detection and mortality prediction AUC of 78.3 % and 94.7 %, outperforming traditional linear models by 6.6 % and 9 %, respectively. Different types of clinical trajectories of a SARS-CoV-2 infection are captured by our model to make interpretable detections, while a trend of over-pessimistic outcome prediction yields a more effective detection pathway. Furthermore, our comprehensive GPT model can potentially assist clinicians with forecasting patient clinical variables and developing personalized treatment plans. CONCLUSION: This study demonstrates that an emerging outbreak can be accurately detected within a hospital, by using a GPT to model patient EHR time sequences and labeling them as anomalous when actual outcomes are not supported by the model. Such a GPT is also a comprehensive model with the functionality of generating future patient clinical variables, which can potentially assist clinicians in developing personalized treatment plans.

Ag nanoparticles at p-Si/ MAPbI3 perovskite interface: improved photo responsivity and response speed in photodetection.

Although enhanced performances of photovoltaic devices by embedding metal nanoparticals in charge transport layer, doping into active layer bulk, decorating the active layer surface, and inserting at the interface between semiconductor and the electrode were reported, the effect of incorporating metal NPs at the interface of single crystal semiconductor and perovskite is rarely tackled. Herein the effects of incorporating Ag nanoparticals (AgNPs) at p-Si/MAPbI3 perovskite interface on the photodiode performances were investigated. The results showed that compared with reference device (without AgNPs) the photoresponsivity of the device incorporating AgNPs is greatly improved with the exception for light with wavelengths fall in the spectral range where AgNPs have strong optical absorption. This effect is extremely significant for relatively shorter wavelengths in visible region, and a maximal improvement of around 10.6 times in photoresponsivity was achieved. The physical origin of the exception for spectral range that AgNPs have strong optical absorption is the cancelation of scatter resulted enhancement through AgNPs by band-to-band absorption resulted reduction of photocurrent, in which the generated electron has energy near the fermi level and the hole has large effective mass, which relax by nonradiative recombination, thus making not contribution to the photocurrent. More importantly, the AgNP decorated device showed much faster photo response speed than reference device, and a maximal improvement of around 7.9 times in rise and fall time was achieved. These findings provide a novel approach for high responsive and high speed detection for weak light.

Health literacy and falls among community-dwelling older people in China: is there a sex difference?

BACKGROUND: Health literacy is one of the important determinants of healthy aging, yet few studies have focused on the association between health literacy and falls. AIMS: This study aims to explore the relationship between health literacy and falls, with a focus on sex differences among older people in China. METHODS: This cross-sectional study enrolled 2,144 older people aged ≥ 60 years from Shandong Province, China in 2021. We used general health literacy screening scale to assess health literacy, and collected the incidence of falls in the past year. Logistic regression models were employed to analyze the relationship between health literacy and falls. We investigated the sex differences by subgroup analyses. RESULTS: The prevalence of adequate health literacy and falls was 21.7% (95% CI: 20.0-23.5%) and 25.4% (95% CI: 23.6-27.3%), respectively. In a fully-adjusted model, adequate health literacy was associated with a lower prevalence of falls in older adults (OR = 0.71, 95%CI: 0.52-0.96). Subgroup analysis revealed sex differences in this relationship (Pfor interaction <0.05). Specifically, the female group showed no significant relationship between health literacy and falls (OR = 0.92, 95% CI: 0.59-1.44); however, the male group demonstrated a robust and significant relationship (OR = 0.58, 95% CI: 0.37-0.90). CONCLUSIONS: Older people with adequate health literacy have lower prevalence of falls, which appears to differ by sex. This relationship was significant among men but not among women. These findings emphasize the need for policymakers and healthcare providers to consider sex differences when designing and implementing programs aimed at improving health literacy and preventing falls in the older population. Improving health literacy among older women could be a strategic component in bridging sex inequality in falls.

Synthesis of Silica Particles with Controlled Microstructure via the Choline Hydroxide Cocatalyzed Stöber Method.

This study investigates the utilization of choline hydroxide as a cocatalyst in the Stöber method to synthesize silica particles with controlled microstructure. Under low ammonia concentration, we add a robust organic base choline hydroxide and systematically explore the influence of choline hydroxide concentration on the hydrolysis and condensation equilibrium of tetraethyl orthosilicate (TEOS). Through the rational control of the water content, we significantly enhance both the size range and polydispersity of the resulting silica particles. Taking advantage of the regulated microstructure induced by controlled hydrolysis and condensation catalyzed by choline hydroxide, we achieved silica particles with hollow structures through hot water etching, exhibiting significantly enhanced surface area. These findings demonstrate the versatility of choline hydroxide as a cocatalyst in tailoring the microstructure of silica particles. In addition, due to its reducing ability and biocompatibility, which are not shared by other reported catalysts, the use of choline hydroxide opens up opportunities for applications in catalysis, sensing, and drug delivery.

Research progress in mechanism of anticancer action of shikonin targeting reactive oxygen species.

Excessive buildup of highly reactive molecules can occur due to the generation and dysregulation of reactive oxygen species (ROS) and their associated signaling pathways. ROS have a dual function in cancer development, either leading to DNA mutations that promote the growth and dissemination of cancer cells, or triggering the death of cancer cells. Cancer cells strategically balance their fate by modulating ROS levels, activating pro-cancer signaling pathways, and suppressing antioxidant defenses. Consequently, targeting ROS has emerged as a promising strategy in cancer therapy. Shikonin and its derivatives, along with related drug carriers, can impact several signaling pathways by targeting components involved with oxidative stress to induce processes such as apoptosis, necroptosis, cell cycle arrest, autophagy, as well as modulation of ferroptosis. Moreover, they can increase the responsiveness of drug-resistant cells to chemotherapy drugs, based on the specific characteristics of ROS, as well as the kind and stage of cancer. This research explores the pro-cancer and anti-cancer impacts of ROS, summarize the mechanisms and research achievements of shikonin-targeted ROS in anti-cancer effects and provide suggestions for designing further anti-tumor experiments and undertaking further experimental and practical research.

Interpretable machine learning models for predicting clinical pregnancies associated with surgical sperm retrieval from testes of different etiologies: a retrospective study.

BACKGROUND: The relationship between surgical sperm retrieval of different etiologies and clinical pregnancy is unclear. We aimed to develop a robust and interpretable machine learning (ML) model for predicting clinical pregnancy using the SHapley Additive exPlanation (SHAP) association of surgical sperm retrieval from testes of different etiologies. METHODS: A total of 345 infertile couples who underwent intracytoplasmic sperm injection (ICSI) treatment with surgical sperm retrieval due to different etiologies from February 2020 to March 2023 at the reproductive center were retrospectively analyzed. The six machine learning (ML) models were used to predict the clinical pregnancy of ICSI. After evaluating the performance characteristics of the six ML models, the Extreme Gradient Boosting model (XGBoost) was selected as the best model, and SHAP was utilized to interpret the XGBoost model for predicting clinical pregnancies and to reveal the decision-making process of the model. RESULTS: Combining the area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall, F1 score, brier score, and the area under the precision-recall (P-R) curve (AP), the XGBoost model has the best performance (AUROC: 0.858, 95% confidence interval (CI): 0.778-0.936, accuracy: 79.71%, brier score: 0.151). The global summary plot of SHAP values shows that the female age is the most important feature influencing the model output. The SHAP plot showed that younger age in females, bigger testicular volume (TV), non-tobacco use, higher anti-müllerian hormone (AMH), lower follicle-stimulating hormone (FSH) in females, lower FSH in males, the temporary ejaculatory disorders (TED) group, and not the non-obstructive azoospermia (NOA) group all resulted in an increased probability of clinical pregnancy. CONCLUSIONS: The XGBoost model predicts clinical pregnancies associated with testicular sperm retrieval of different etiologies with high accuracy, reliability, and robustness. It can provide clinical counseling decisions for patients with surgical sperm retrieval of various etiologies.

Simulations of Anisotropic Monolayer GaSCl for p-Type Sub-10 nm High-Performance and Low-Power FETs.

Two-dimensional materials have been extensively studied in field-effect transistors (FETs). However, the performance of p-type FETs has lagged behind that of n-type, which limits the development of complementary logical circuits. Here, we investigate the electronic properties and transport performance of anisotropic monolayer GaSCl for p-type FETs through first-principles calculations. The anisotropic electronic properties of monolayer GaSCl result in excellent device performance. The p-type GaSCl FETs with 10 nm channel length have an on-state current of 2351 µA/µm for high-performance (HP) devices along the y direction and an on-state current of 992 µA/µm with an on/off ratio exceeding 107 for low-power (LP) applications along the x direction. In addition, the delay-time (τ) and power dissipation product of GaSCl FETs can fully meet the International Technology Roadmap for Semiconductors standards for HP and LP applications. Our work illustrates that monolayer GaSCl is a competitive p-type channel for next-generation devices.

Experience of Multiple Super-Selective Renal Angiographic Embolization (SRAE) After Minimally-Percutaneous Nephrolithotomy Haemorrhage: A Case Report.

Minimally invasive percutaneous nephrolithotomy (mini-PCNL) maintains a stone clearance rate similar to standard PCNL while reducing blood loss. Bleeding is a complex and serious complication that can arise after PCNL surgery. Pseudoaneurysm (PA) is an uncommon type of delayed bleeding problem, which affects less than 1% of patients after PCNL. The most effective treatment for severe post-PCNL hemorrhage is super-selective renal angiographic embolization (SRAE), but it can fail in some patients and require additional surgical intervention. This report details the case of a male patient, 55 years old, who experienced severe bleeding four times and had three SRAE procedures and one laparoscopic procedure after PCNL. The presence of a renal artery pseudoaneurysm was not initially identified during the first two attempts of angiography due to arterial spasm and a small, undeveloped lesion. This case report is intended to enhance awareness of tiny pseudoaneurysms, emphasizing the importance of avoiding oversight to improve the success rate of embolization.

New species and records of Botryosphaeriales (Dothideomycetes) associated with tree dieback in Beijing, China.

Botryosphaeriales species are important pathogens that have worldwide distribution. In this study, 23 Botryosphaeriales strains were isolated from 13 host species during a dieback disease survey in Beijing, China. Based on morphological and phylogenetic analyses, six Botryosphaeriales species were identified, including two new species named Dothiorellahortiarborum sp. nov. and Phaeobotryonfraxini sp. nov., and four new host records: Aplosporellaginkgonis from Cotinuscoggygriavar.cinereus, A.javeedii from Acermiyabei, Acertruncatum, Forsythiasuspensa, Lagerstroemiaindica, Sambucuswilliamsii, Syringavulgaris, Ulmuspumila, Xanthocerassorbifolium, A.yanqingensis from Acertruncatum, and Do.acericola from Forsythiasuspensa, Ginkgobiloba, and Syringaoblata. This study enriches the species diversity associated with tree dieback in Beijing, China, and contributes to the further study of the taxonomy of this order.

Cognitively motivated or emotionally charged? Issue-switching mechanism of second screening-facilitated political participation during the 2022 COVID-19 waves in China.

This study examines the effects of mass media and mobile media on civil behaviors in China during COVID-19 outbreaks. It explores the media practices of the Chinese public and the psychological mechanisms that led to their protests and boycotts against the government's COVID policies. Chinese official media has a reputation for depoliticizing natural disasters and censoring the online mobilization of collective actions. Based on previous research and theories regarding media multitasking and political communication, this study demonstrates the psychological mechanism by which a special type of media multitasking-second screening-contributed to political participation in a politically restrictive environment. This study contributes to existing research on media multitasking by proposing a unique theoretical framework that entails an issue-based typology of second screening. The framework expands knowledge by highlighting the importance of issue-switching and investigating its psychological influence on political participation. Previous studies have primarily focused on device-switching and its effects, so this study offers fresh insights in this field. Drawing on a nationwide online survey (N = 1180) conducted during the late-2022 wave of COVID-19 in China, this study reveals that second screening on official televised COVID-19 news can elicit simultaneous issue-switching among Chinese audiences: from the de-politicalized COVID-19 propaganda toward politics. Further, second screening on different issues (i.e., politics vs. health sciences) may instigate political participation through cognitive and emotion channels differently. That is, both political efficacy (cognitive) and negative emotions (emotion) facilitate the process, with the former making a greater contribution.