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This outlook explores how two different molecular imaging approaches might be combined to gain insight into dynamic, subcellular metabolic processes. Specifically, we discuss how matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) and stimulated Raman scattering (SRS) microscopy, which have significantly pushed the boundaries of imaging metabolic and metabolomic analyses in their own right, could be combined to create comprehensive molecular images. We first briefly summarize the recent advances for each technique. We then explore how one might overcome the inherent limitations of each individual method, by envisioning orthogonal and interchangeable workflows. Additionally, we delve into the potential benefits of adopting a complementary approach that combines both MSI and SRS spectro-microscopy for informing on specific chemical structures through functional-group-specific targets. Ultimately, by integrating the strengths of both imaging modalities, researchers can achieve a more comprehensive understanding of biological and chemical systems, enabling precise metabolic investigations. This synergistic approach holds substantial promise to expand our toolkit for studying metabolites in complex environments.

International students have the potential to contribute significantly to host countries through cultural enrichment, economic growth, and human capital development. However, their successful integration into the host society is crucial to realise these benefits. By applying the framework of the two-way integration process from acculturation theory, this study examines the employment integration of international students in Finland, a non-native English-speaking country. Our semi-structured, qualitative in-depth interviews identify several key challenges encountered by international students, including limited information about the labour market, unfamiliarity with recruitment practices, a lack of industry connections, communication gaps from recruiting companies, and host country language barriers. We provide recommendations to organisations and recruiters on how to embrace diversity in their recruitment processes, as well as suggestions to universities on how to better support international students' transition into the workforce of the host country.

Abstract Implantable catheters are susceptible to severe complications due to non-specific protein adhesion on their surfaces. Polyethylene glycol (PEG) coatings, the gold standard for resistance to non-specific protein adhesion, present a challenge in achieving high-density grafting, which significantly restricts their use as anti-biofouling coatings. Herein, we exploited the strong interaction between polyphenols (PCs) and polycations (K6-PEG) to graft PEG onto the surface of PC-Cu (A network of metal polyphenols composed of proanthocyanidins and metal copper ions, with expectation for the coating with excellent resistance to non-specific protein adhesion (PC-Cu@K6-PEG). The introduction of K6-PEG resulted in enhanced stability and modulus of PC-Cu, as well as a reduction in the surface adhesion energy and contact angle of PC-Cu. In contrast to previously reported PEG coatings, PC-Cu@K6-PEG exhibited a markedly elevated grafting density of PEG (4.06 chains/nm²), which was more than double the highest value previously reported (1.9 chains/nm²), due to the diffusing ability of K6-PEG throughout the PC-Cu networks. PC-Cu@K6-PEG displays robust resistance to a variety of proteins, microbials, and platelet attachment, thereby preventing thrombosis. The coating ability of PC-Cu onto diverse substrates, combined with the simple, straightforward and environmentally benign process of fabricating PC-Cu@K6-PEG, suggests that this strategy has significant potential for use in anti-biofouling surfaces.

An artificial solid electrolyte interphase (SEI) with lithiophilic sites and chemical bonds anchoring lithium polysulfides (LiPSs) has been developed as a potential solution to protect the lithium (Li) metal anode of Lithium−sulfur (Li–S) batteries. This strategy aims to guide consistent Li deposition and relieve lithium corrosion. Herein, the evolution process of lithiophilic sites based on aluminum fluoride (AlF3) in an artificial SEI is disclosed in Li–S batteries with metal−based lithiophilic sites. The polyester polymer (PMMA and PPC)/AlF3 artificial SEI (MPAF−SEI) was homogeneously anchored on Li anode by in−situ polymerization. The conversion of AlF3 into Li–Al and LiF lithiophilic sites effectively reduce the Li nucleation overpotential and prevents the formation of Li dendrites. At the same time, the polymer can anchor LiPSs by chemical bonds and prevents Li corrosion. The optimized MPAF−SEI protected Li demonstrates excellent stability for over 3000 h at a capacity of 1 mAh cm−2 in Li || Li symmetric cells. The Li–S battery with low N/P (4) exhibits a capacity of 532.6 mAh g −1 over 300 cycles lifespan at 0.5 C.

Abstract Amidst the burgeoning field of cancer nanomedicine, dense extracellular matrices and anomalous vascular structures in the tumor microenvironment (TME) present substantial physical barriers to effective therapeutic delivery. These physical barriers hinder the optimal bioavailability of nanomedicine. Here, we propose a pioneering dual-modal strategy for overcoming physical barriers via soft organosilica nanocapsules (SMONs). Hyaluronidase-modified flexible spheres work by degrading the extracellular matrix and utilizing their flexible characteristics to enhance penetration into deeper layers. Compared with their stiff counterparts, the SMONs show diminished Young’s modulus, then the inherent softness of the SMONs confers distinct advantages, and significantly augmented cellular internalization within 4T1 cells, leading to an amplified in vitro photodynamic therapeutic effect. Furthermore, hyaluronidase-functionalized SMONs (SMONs-HAase) exhibit enhanced tumor penetration in 3D spheroids. Post incorporation of the photosensitizer chlorin e6, when administered intravenously, these soft organosilica nanocapsules amplify the efficacy of photodynamic therapy. In addition, RNA-seq analysis of SMONs-HAase-Ce6 shows it alters gene expression, degrading the extracellular matrix and impairing mitochondrial function. To sum up, this work elucidates the potential of a dual-modal strategy, highlighting the promise of SMONs in overcoming TME physical barriers and optimizing therapeutic outcomes. Graphical abstract

Abstract Delta-like Ligand 3 (DLL3) targeting therapies are promising in small cell lung cancer (SCLC) treatment. However, DLL3 expression in SCLC and other neuroendocrine neoplasms (NEN) is heterogeneous and not well characterized. We describe the landscape of DLL3 at the mRNA and protein levels across SCLC, large cell neuroendocrine carcinoma (LCNEC), and non-small cell lung cancer. Additionally, we explore its expression in extra-pulmonary NEN (EP-NEN) using a standardized DLL3 IHC assay. DLL3 expression is enriched in SCLC, LCNEC along with combined histology lung cancers. Moreover, we find a wide range of DLL3 expression in high-grade EP-NEN. We describe heterogenous DLL3 expression not only in SCLC but also in different NEN types. This comprehensive characterization of DLL3 can help guide future clinical trial design targeting DLL3 in NEN including LCNEC and EP-NEN that are lacking standard of care treatment options.

Abstract Drought, a prevalent abiotic stressor, significantly impacts plant yield and quality. Melatonin (MT), a potent and economical growth regulator, plays a pivotal role in augmenting crop resilience against stress. This study investigated the efficacy of exogenous MT on drought-stressed celery seedlings by comprehensively analyzing phenotypic, physiological, and molecular attributes. The results revealed that exogenous MT mitigated celery seedling damage under drought stress, lowered malondialdehyde (MDA) concentrations, elevated oxidase activities, osmolyte levels, chlorophyll content, and augmented light energy conversion efficiency. Transcriptomic analysis demonstrated that MT could regulate chlorophyll synthesis genes (AgPORA1 and AgDVR2), contributing to heightened photosynthetic potential and increased drought tolerance in celery. Moreover, MT was found to modulate glycolytic pathways, upregulate pyruvate synthesis genes (AgPEP1 and AgPK3), and downregulate degradation genes (AgPDC2 and AgPDHA2), thereby promoting pyruvate accumulation and enhancing peroxidase activity and drought tolerance. The RNA-seq and qRT-PCR analyses demonstrated similar results, showing the same general expression trends. The study elucidates the physiological and molecular mechanisms underlying MT’s stress-alleviating effects in celery seedlings, offering insights into MT-based strategies in plant cultivation and breeding for arid environments.

Abstract This study aims to identify colorectal cancer (CRC)-related proteomic profiles and develop a prediction model for CRC onset by integrating proteomic profiles with genetic and non-genetic factors (QCancer-15) to improve the risk stratification and estimate of personalized initial screening age. Here, using a two-stage strategy, we prioritize 15 protein biomarkers as predictors to construct a protein risk score (ProS). The risk prediction model integrating proteomic profiles with polygenic risk score (PRS) and QCancer-15 risk score (QCancer-S) shows improved performance (C-statistic: 0.79 vs. 0.71, P = 4.94E–03 in training cohort; 0.75 vs 0.69, P = 5.49E–04 in validation cohort) and net benefit than QCancer-S alone. The combined model markedly stratifies the risk of CRC onset. Participants with high ProS, PRS, or combined risk score are proposed to start screening at age 46, 41, or before 40 years old. In this work, the integration of blood proteomics with PRS and QCancer-15 demonstrates improved performance for risk stratification and clinical implication for the derivation of risk-adapted starting ages of CRC screening, which may contribute to the decision-making process for CRC screening.

Abstract Researchers have identified university students and military personnel as highly susceptible to the stress and emotional challenges imposed by the Coronavirus disease 2019 (COVID-19) pandemic. The objective of this study was to compare the psychological impact of COVID-19 on soldiers and students based on risk factors identified in self reports. We recruited 258 students (male: female = 58: 204, average age = 19.73 ± 1.52 years) and 194 active soldiers (male: female = 172: 22, average age = 24.88 ± 4.11 years) from northern Taiwan. Analysis was performed on demographic data, history of COVID-19 infection, vaccinations, and the subjective psychological impact of the pandemic, as well as their current (within one month) anxiety levels, depression level, and symptoms of post-traumatic stress disorder (PTSD). Descriptive statistics and linear regression analysis models were used to compare soldier vs. student status and male vs. female. Overall, roughly 54% of the subjects had been infected by COVID-19 at least once, and the psychological impact of the pandemic was more pronounced in the infected group. The students reported more pronounced symptoms of PTSD (elevated anxiety and depression levels) than did the soldiers. All regression models other than those associated with age and sex revealed that the link between COVID-19 infection and the symptoms of PTSD was more salient among soldiers and males than among students and females. It appears that the psychological impact of COVID-19 is underreported by soldiers. These findings indirectly support previous research indicating that soldiers are less likely than students to disclose emotions related to trauma, indicating the need for psychological support for military personnel.

Background: Oxaliplatin is commonly used to treat gastrointestinal malignancies. However, its applications are limited due to potential adverse drug reactions (ADRs), particularly severe anaphylactic shock. There is no method to predict or prevent ADRs caused by oxaliplatin. Therefore, we aimed to investigate the genetic HLA predisposition and immune mechanism of oxaliplatin-induced ADRs. Methods: A retrospective review was performed for 154 patients with ADRs induced by oxaliplatin during 2016–2021 recorded in our ADR notification system. HLA genotyping was conducted for 47 patients with oxaliplatin-induced ADRs, 1100 general population controls, and 34 oxaliplatin-tolerant controls in 2019–2023. The in vitro basophil activation test (BAT) was performed and oxaliplatin-specific IgE levels were determined. Results: The incidence of oxaliplatin-induced ADRs and anaphylactic shock in our cohort was 7.1% and 0.15%, respectively. Of the 154 patients, 67.5% suffered rash/eruption; 26.0% of the patients who could not undergo oxaliplatin rechallenge were considered to show oxaliplatin-induced immune-mediated hypersensitivity reactions (HRs). The genetic study found that the HLA-DRB∗12:01 allele was associated with oxaliplatin-induced HRs compared to the general population controls (sensitivity = 42.9%; odds ratio [OR] = 3.4; 95% CI = 1.4–8.2; P = 0.008) and tolerant controls (OR = 12; 95% CI = 2.3–63.7; P = 0.001). The in vitro BAT showed higher activation of CD63+ basophils in patients with oxaliplatin-induced HRs compared to the tolerant controls (P

It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English as a Foreign Language (EFL) learners' emotions are affected when such feedback is presented (no feedback vs. supraliminal feedback vs. subliminal feedback) and to examine how the feedback correlates with their learning effectiveness. A within-subject experiment with 33 participants was designed and administered to examine three proposed research hypotheses. Participants' frontal asymmetry alpha (FAA) and their recollection of the learning contents were used as the index of their emotional valence and learning effectiveness. The results revealed that positive feedback given in the form of emojis generated a positive/approach emotion when it was shown subliminally. Furthermore, a significant relationship was seen between EFL learners' positive emotion and their learning effectiveness; such a finding was supported by the significant relationship between the modes of emoji presentation and the participants' learning effectiveness. This study's originality and value lies in the innovative research method that was adopted and the interesting findings that it yielded. The limitations of this study such as research design and sampling are reported. The study also has practical and theoretical implications for practitioners and scholars of CALL for praxis and future research.

Objective: To investigate the impact of metabolic dysfunction-associated steatotic liver disease (MASLD) on the efficacy of immune checkpoint inhibitor (ICI)-based therapy in patients with chronic hepatitis B (CHB)-related hepatocellular carcinoma (HCC). Methods: A total of 155 patients with CHB-related HCC who received ICI–based therapy (in the Department of Hepatology, Tianjin Second People’s Hospital and Department of Hepatobiliary Oncology, Tianjin Medical University Cancer Institute & Hospital) between April 2021 and December 2023 were evaluated. Patients were divided into two groups: MASLD concurrent with CHB [MASLD-CHB] (n = 38), and CHB (n = 117). Results: The median progression-free survival (PFS, 6.9 months vs. 9.3 months; P = 0.001), progressive disease (57.89% vs. 37.61%; P = 0.028), and disease control rate (42.11% vs. 62.39%; P = 0. 028) in the MASLD-CHB group were significantly worse than the CHB group. The median overall survival was not attained. The percentage of CD4+PD1+ (17. 56% vs. 8.89%; P < 0.001) and CD8+PD1+ T cells (10.50% vs. 7.42%; P = 0.005) in patient samples from the MASLD-CHB group were significantly higher than the CHB group. Concurrent MASLD [hazard ratio (HR) = 1.921; 95% CI, 1.138–3.245; P = 0.015] and alpha-fetoprotein levels after 3 months of treatment (HR = 2.412; 95% CI, 1.360–4.279; P = 0.003) were independent risk factors for PFS in all patients. Conclusions: ICI-based therapy in patients with CHB-related HCC and concurrent MASLD resulted in poorer efficacy and shorter PFS compared to patients with CHB-related HCC alone.

Abstract Background To investigate the mechanism of Golgi matrix protein 130(GM130) regulating the antiviral immune response of TLR3 after herpes simplex virus type 1(HSV-1) infection of microglia cells. We explored the regulatory effects of berberine on the immune response mediated by GM130 and TLR3. Methods An in vitro model of HSV-1 infection was established by infecting BV2 cells with HSV-1. Results Compared to the uninfected group, the Golgi apparatus (GA) fragmentation and GM130 decreased after HSV-1 infection; TLR3 increased at 6 h and began to decrease at 12 h after HSV-1 infection; the secretion of interferon-beta(IFN-β), tumour necrosis factor alpha(TNF-α), and interleukin-6(IL-6) increased after infection. Knockdown of GM130 aggravated fragmentation of the GA and caused TLR3 to further decrease, and the virus titer also increased significantly. GM130 knockdown inhibits the increase in TLR3 and inflammatory factors induced by TLR3 agonists and increases the viral titer. Overexpression of GM130 alleviated fragmentation of the GA induced by HSV-1, partially restored the levels of TLR3, and reduced viral titers. GM130 overexpression reversed the reduction in TLR3 and inflammatory cytokine levels induced by TLR3 inhibitors. Therefore, the decrease in GM130 levels caused by HSV-1 infection leads to increased viral replication by inhibiting TLR3-mediated innate immunity. Berberine can protect the GA and reverse the downregulation of GM130, as well as the downregulation of TLR3 and its downstream factors after HSV-1 infection, reducing the virus titer. Conclusions In microglia, one mechanism of HSV-1 immune escape is disruption of the GM130/TLR3 pathway. Berberine protects the GA and enhances TLR3-mediated antiviral immune responses.

Abstract Fueled by the rapid advancement of nanofabrication, metasurface has provided unprecedented opportunities for 3D holography. Large depth 3D meta-holography not only greatly increases information storage capacity, but also enables distinguishing of the relative spatial relationship of 3D objects, which has important applications in fields like optical information storage and medical diagnosis. Although the methods based on Fresnel diffraction theory can reconstruct the real depth information of 3D objects, the maximum depth is only 2 mm. Here, we develop a 3D meta-holography based on angular spectrum diffraction theory to break through the depth limit. By developing the angular spectrum diffraction theory into meta-holography, the metasurface structure with independent polarization control is used to create a polarization multiplexing 3D meta-hologram. The fabricated amorphous silicon metasurface increases the depth range by 47.5 times and realizes 0.95 dm depth reconstruction for polarization independent and different color 3D meta-hologram in visible. Such polarization controlled large-depth color meta-holography is expected to open avenue for data storage, display, information security and virtual reality.

Abstract Background Assessing dietary phenylalanine (Phe) tolerance is crucial for managing hyperphenylalaninemia (HPA) in children. However, traditionally, adjusting the diet requires significant time from clinicians and parents. This study aims to investigate the development of a machine-learning model that predicts a range of dietary Phe intake tolerance for children with HPA over 10 years following diagnosis. Methods In this multicenter retrospective observational study, we collected the genotypes of phenylalanine hydroxylase (PAH), metabolic profiles at screening and diagnosis, and blood Phe concentrations corresponding to dietary Phe intake from over 10 years of follow-up data for 204 children with HPA. To incorporate genetic information, allelic phenotype value (APV) was input for 2965 missense variants in the PAH gene using a predicted APV (pAPV) model. This model was trained on known pheno-genotype relationships from the BioPKU database, utilizing 31 features. Subsequently, a multiclass classification model was constructed and trained on a dataset featuring metabolic data, genetic data, and follow-up data from 3177 events. The final model was fine-tuned using tenfold validation and validated against three independent datasets. Results The pAPV model achieved a good predictive performance with root mean squared error (RMSE) of 1.53 and 2.38 on the training and test datasets, respectively. The variants that cause amino acid changes in the region of 200–300 of PAH tend to exhibit lower pAPV. The final model achieved a sensitivity range of 0.77 to 0.91 and a specificity range of 0.8 to 1 across all validation datasets. Additional assessment metrics including positive predictive value (0.68–1), negative predictive values (0.8–0.98), F1 score (0.71–0.92), and balanced accuracy (0.8–0.92) demonstrated the robust performance of our model. Conclusions Our model integrates metabolic and genetic information to accurately predict age-specific Phe tolerance, aiding in the precision management of patients with HPA. This study provides a potential framework that could be applied to other inborn errors of metabolism.

Abstract Soybean seeds are susceptible to damage from the Riptortus pedestris, which is a significant factor affecting the quality of soybean seeds. Currently, manual screening methods for soybean seeds are limited to visual inspection, making it difficult to identify seeds that are phenotypically defect-free but have been punctured by stink bugs on the sub-surface. To facilitate the convenient and efficient identification of healthy soybean seeds, this paper proposes a soybean seed pest detection method based on spatial frequency domain imaging combined with RL-SVM. Firstly, soybean optical data is obtained using single integration sphere technique, and the vigor index of soybean seeds is obtained through germination experiments. Then, based on the above two data items using feature extraction algorithms (the successive projections algorithm and the competitive adaptive reweighted sampling algorithm), the characteristic wavelengths of soybeans are identified. Subsequently, the spatial frequency domain imaging technique is used to obtain the sub-surface images of soybean seeds in a forward manner, and the optical coefficients such as the reduced scattering coefficient $${{\mu }{\prime}}_{s}$$ μ ′ s and absorption coefficient $${\mu }_{a}$$ μ a of soybean seeds are inverted. Finally, RL-MLR, RL-GRNN, and RL-SVM prediction models are established based on the ratio of the area of insect-damaged sub-surface to the entire seed, soybean varieties, and $${\mu }_{a}$$ μ a at three wavelengths (502 nm, 813 nm, and 712 nm) for predicting and identifying soybean the stinging and sucking pest damage levels of soybean seeds. The experimental results show that the spatial frequency domain imaging technique yields small errors in the optical coefficients of soybean seeds, with errors of less than 15% for $${\mu }_{a}$$ μ a and less than 10% for $${{\mu }{\prime}}_{s}$$ μ ′ s . After parameter adjustment through reinforcement learning, the Macro-Recall metrics of each model have improved by 10%-15%, and the RL-SVM model achieves a high Macro-Recall value of 0.9635 for classifying the pest damage levels of soybean seeds.

Abstract The rumen microbiome plays an important role in providing energy and protein to the host. Manipulation of rumen microbiome during early life may have a long-term beneficial effect on the health, growth performance, and feed efficiency of ruminants. To better understand the profiles and functional potentials of rumen microbiome in young ruminants, metagenomic binning was performed to investigate the rumen microbiome of goat kids from one to 84 days of age. A total of 797 metagenome-assembled genomes (MAGs) were recovered from the rumen of 42 Laiwu black goat kids. Our findings provide fundamental knowledge of the rumen microbiome during early life based on metagenomic binning, which may provide insights into effective strategies to achieve long-term beneficial effects on animal health and production.

Abstract Purpose Glial fibrillary acidic protein astrocytopathy (GFAP-A) pathogenesis remains uncertain, with potential viral involvement. More clinical cases are needed to deepen our understanding of this disease, along with the exploration of more effective treatment options to provide clinicians with additional choices. Methods We report a severe case of GFAP-A secondary to EBV infection, characterized predominantly by central respiratory failure. Additionally, we conducted a literature review summarizing the characteristics of GFAP-IgG-positive patients associated with EBV infection. Results Among the 13 patients identified, fever (92.3%) and headache (84.6%) were the most common initial symptoms, while urinary dysfunction was universally present in all patients. Over half of the patients with altered consciousness required endotracheal intubation (7/11, 63.6%), with only one individual experiencing complete resolution without any residual sequela. Only two patients (16.7%) displayed the classic feature of periventricular enhancement on neuroimaging, whereas T2-FLAIR hyperintensities were more prevalent. All patients tested positive for GFAP-IgG in CSF, and 91.7% (11/12) had detectable serum GFAP-IgG antibodies. Three patients (23.1%) achieved full recovery solely through antiviral therapy. In patients receiving various immunotherapies, 60% (6/10) still had residual sequelae. Conclusion EBV infection may contribute to the pathogenesis of GFAP-A. GFAP antibody testing is recommended for diagnostic evaluation in cases of central nervous system viral infections presenting with respiratory insufficiency. For severe GFAP-A patients, Protein A immunoadsorption (Protein A IA).

Abstract Background In China, community rehabilitation workers are facing a growing challenge related to heavy occupational stress, which is having an impact on employment turnover. Previous studies have explored the effect of the public service motivation of workers in “helping” jobs on occupational stress or turnover intention, but there is a lack of clarification of the impact of altruism on turnover intention in the case of complex pathways involving various factors. Methods A stratified sampling method was used, and a total of 82 community rehabilitation workers who assist disabled people from 34 community health centres in Jiangmen city were included in the study from August to October 2022. The turnover intention, occupational stress, burnout, quality of life, altruism, and certain sociodemographic information of community rehabilitation workers were measured using a structured questionnaire. The partial least squares method was employed to construct and test the structural equation model. Results Although altruism had no direct impact on occupational stress or turnover intention, altruism moderated the effect of occupational stress on burnout (β Mod = −0.208) and quality of life (β Mod = 0.230) and weakened the mediation of burnout and quality of life between occupational stress and turnover intention. Conclusions This study proposes to address the dilemma of “strong function” and “weak specialty” in community rehabilitation services and to conduct positive psychological interventions for community rehabilitation workers through the guidance of altruistic values.

Abstract Background The prevalence of sarcopenia is increasing in worldwide with accelerated aging process. The high dietary protein intakes are associated with improved muscle mass and strength especially in Asian countries. However, there are few researches on amino acid levels or mechanism exploration. We conducted a case-control study to explore the amino acid metabolic characteristics and potential mechanism of elderly women with sarcopenia using targeted amino acid metabolomics approach combined with an analysis of dietary intake. Methods For our case-control study, we recruited women (65–75 y) from a Shanghai community with 50 patients with sarcopenia and 50 healthy controls. The consensus updated by the Asian Working Group on Sarcopenia in 2019 was used to screening for sarcopenia and control groups. We collected fasting blood samples and evaluated dietary intake. We used the amino acid-targeted metabolomics by ultra performance liquid chromatography tandem mass spectrometry to identify metabolic differentials between the case and control groups and significantly enriched metabolic pathways. Results The case (sarcopenia) group had a lower intake of energy, protein, and high-quality protein (P

Abstract Introduction Generalized pustular psoriasis (GPP) is a rare and severe psoriasis subtype characterized by the rapid onset of coalescing sterile pustules over broad body areas and systemic inflammation. Data on its clinical course and outcomes in Taiwan are limited. We evaluated the clinical profile and outcomes of patients with GPP flares in Taiwan. Methods This retrospective analysis included adult patients with moderate-to-severe GPP flares occurring in January 2008–December 2021. Data were extracted from medical charts and electronic health records in the Chang Gung Research Database. Statistical analyses were performed using SAS for Windows (version 9.4). Multivariate Poisson regression models were built to investigate different predictors of GPP flare rate. Results Thirty-four patients with 81 moderate-to-severe GPP flares were identified. Of the 14 patients undergoing genetic analysis, 10 (71.4%) had an IL36RN mutation. Patients’ mean age at the index GPP flare was 47.1 ± 16.5 years; 58.0% of the flares were severe, while 42.0% were moderate. Overall, 96.3% of GPP flares were treated with at least one systemic therapy, acitretin being the most prescribed (85.2%), followed by cyclosporine (45.7%) and methotrexate (18.5%). After treatment, the proportion of flares responding positively increased from 0% on day 2 to 6.2% by week 12. Patients were newly diagnosed with psoriasis (23.5%), hypertension (20.6%), diabetes mellitus (14.7%), psoriatic arthritis (2.9%), malignant tumor (8.8%), and depression/anxiety (2.9%) after enrollment. Complications occurring within 12 weeks of GPP flares included arthritis (25.9% of the flares), skin infection (8.6%), and other infections (2.5%). No fatalities were reported. In the multivariate model, former smokers, patients with hepatic disease, and patients with psoriatic arthritis had an increased GPP rate ratio (RR) of 13.33 (95% confidence interval, CI, 2.87–61.78), 14.08 (95% CI 3.04–65.29), and 34.84 (95% CI 4.77- 254.42), respectively. Contrarily, obese and rheumatoid arthritis patients had a lower GPP rate ratio of 0.21 (95% CI 0.08–0.54) and 0.07 (95% CI 0.006–0.78), respectively. Conclusions Our findings highlight the complexity of GPP flare presentations and the need for individualized, patient-centered management approaches and continued research to improve affected individuals’ care and outcomes.

Abstract Contemporary studies in polarization multiplexing are hindered by the intrinsic orthogonality constraints of polarization states, which restrict the scope of multiplexing channels and their practical applications. This research transcends these barriers by introducing an innovative nonorthogonal polarization-basis multiplexing approach. Utilizing spatially varied eigen-polarization states within metaatoms, we successfully reconstruct globally nonorthogonal channels that exhibit minimal crosstalk. This method not only facilitates the generation of free-vector holograms, achieving complete degrees-of-freedom in three nonorthogonal channels with ultra-low energy leakage, but it also significantly enhances the dimensions of the Jones matrix, expanding it to a groundbreaking 10 × 10 scale. The fusion of a controllable eigen-polarization engineering mechanism with a vectorial diffraction neural network culminates in the experimental creation of 55 intricate holographic patterns across these expanded channels. This advancement represents a profound shift in the field of polarization multiplexing, unlocking opportunities in advanced holography and quantum encryption, among other applications.

Abstract Objectives This study aimed to investigate the associations between changes in blood pressure (BP) and cerebral small vessel disease (CSVD). Methods This study included 401 participants in the magnetic resonance imaging (MRI) sub-study conducted between 2018 and 2020 as a part of the Multidomain Interventions to Delay Dementia and Disability in Rural China project. MRI markers of CSVD were assessed based on international criteria. Individualized linear regression models evaluated changes in BP by estimating the trend of blood pressure changes over time and fitting a straight line from 2014 to 2018. The data were analyzed using logistic and general linear regression models. Result The mean age of the participants was 64.48 ± 2.69 years, with 237 (59.1%) being females. Increases in systolic BP in later life were significantly associated with larger volumes of periventricular white matter hyperintensity (WMH), greater perivascular spaces in the basal ganglia (BG-PVS) burden, and the presence of deep lacunes and cerebral microbleeds. Additionally, increases in diastolic BP in later life were significantly associated with the presence of infratentorial and deep lacunes. Conclusions CSVDs are associated with increased exposure to elevated BP later in life.

Abstract Integration of functional fillers into liquid metals (LM) induces rheology modification, enabling the free-form shaping of LM at the micrometer scale. However, integrating non-chemically modified low-dimensional materials with LM to form stable and uniform dispersions remain a great challenge. Herein, we propose a solvent-assisted dispersion (SAD) method that utilizes the fragmentation and reintegration of LM in volatile solvents to engulf and disperse fillers. This method successfully integrates MXene uniformly into LM, achieving better internal connectivity than the conventional dry powder mixing (DPM) method. Consequently, the MXene/LM (MLM) coating exhibits high electromagnetic interference (EMI) shielding performance (105 dB at 20 μm, which is 1.6 times that of coatings prepared by DPM). Moreover, the rheological characteristic of MLM render it malleable and facilitates direct printing and adaptation to diverse structures. This study offers a convenient method for assembling LM with low-dimensional materials, paving the way for the development of multifunctional soft devices.

Abstract The gap between the performance of optoelectronic components and the demands of fiber-optic communications has narrowed significantly in recent decades. Yet, the expansion of data communications traffic remains substantial, with fiber-link speeds increases anticipated in the near future. Here, we demonstrate an ultra-high-speed electro-optic waveguide modulator constructed using a thin film of lanthanum-modified lead zirconate titanate with a ferroelectric phase exhibiting a strong Pockels effect. The modulator has a wide optical window; thus, the modulation was demonstrated for 1550 and 1310 nm wavelengths. This device showed electro-optical intensity signaling with line rates of 172 Gbit s−1, in conjunction with on–off keying modulation; this performance could be increased to 304 Gbit s−1 using four-level pulse modulation. The signaling performance of this modulator was found to be robust, with stable performance at temperatures as high as 100 °C. This technology is expected to have applications in a wide range of classical optoelectronic devices and in quantum science and technology.

ABSTRACT Urine culture is the gold standard for identifying microorganisms in urine. However, the process is time-consuming and usually takes days to get the results, which impedes timely treatment. This study aimed to evaluate the performance of UF-5000 in excluding bacterial urinary tract infection (UTI) and detecting the presence of Gram-negative bacteria. A total of 1,522 urine specimens were subjected to routine urine analysis and culture. Bacteria, white blood cell counts, and UF-5000 bacteria information flags were compared with urine culture. Bacteria forward scatter (B_FSC), and bacteria fluorescent light intensity (B_FLH) parameters were assessed to determine the optimal angle for discriminating bacterial growth patterns, which was verified in the validation cohort. The optimal cut-off values were 42.2/µL and 100.2/µL to rule out UTI for bacteria at ≥104 CFU/mL and ≥105 CFU/mL, respectively. The agreement of UF-5000 bacterial classification and urine culture was fair (Kappa = 0.227). Regarding the discrimination of bacterial groups, “Gram Neg?” was associated with a specificity of 94.0% and a positive predictive value of 87.2% in the detection of Gram-negative bacteria. By estimating the B_FSC and B_FLH parameters, the best angle was 28° for distinguishing Gram-negative and Gram-positive bacteria. Among the 136 urine specimens with the low angle pattern (

IntroductionIn response to the high demand for dynamic characteristics and control in current electromechanical automatic control systems.MethodsThis study first analyzes the dual motor system. A novel electromechanical control automation model based on a dual motor control algorithm is proposed through the control strategy of dual motor backlash elimination and digital proportional integral derivative control algorithm.Results and DiscussionThe results indicated that the optimization of the model had a promoting effect on the control performance of the electromechanical automatic control system. Compared with other popular electromechanical control automation models of the same type, the performance of the research method was the best. During the no-load start-up phase, the maximum tracking error and synchronization error speed of the proposed new electromechanical control automation model showed a significant decreasing trend, with the maximum synchronization error between the two motors being only 0.02%. Under steady-state sudden load, the research model could reach a stable state within 3 s, with errors within ±5%.ConclusionIn summary, combining the dual motor control algorithm with the electromechanical control automation method can provide a theoretical basis and practical guidance for designing and implementing efficient dual motor electromechanical control systems.

This study aims to classify citizens' intentions to participate in carbon neutrality activities, emphasizing the crucial role of public engagement in achieving sustainability goals amid the climate crisis. The climate crisis has rapidly become one of the most pressing challenges to global sustainable development, with carbon neutrality as a key objective. To understand variations in citizens' willingness to engage in carbon neutrality efforts, we conducted a Latent Class Analysis (LCA) on responses from 800 residents of Cheongju, South Korea, categorizing their willingness to participate in 13 different carbon neutrality activities. The analysis identified three distinct groups: 'Active Participation,' 'Limited Daily Life Participation,' and 'Passive Participation,' each reflecting different levels of awareness and practice in response to the climate crisis. The findings highlight that both individual awareness and peer behavior are significant factors influencing participation in carbon neutrality activities. The practical implications of this study involve creating targeted strategies to enhance public engagement in carbon neutrality, offering valuable insights for policymakers and climate advocates in developing effective interventions to promote a more sustainable society.

Renal fibrosis is the major pathological changes of Chronic kidney disease (CKD). Piezo1, a mechanical sensitive ion channel, is implicated in organ fibrosis. However, the precise role of Piezo1 in CKD fibrosis is unknown. The aims of this study were to identify that the role of Piezo1 in CKD fibrosis and its potential involvement of mitochondrial dysfunction. We performed the study with the Piezo1 agonist Yoda1, Bax inhibitor BAI1, Piezo1 inhibitor GsMTx4 and detected the injury, fibrosis, apoptosis markers and mitochondrial dysfunction. The results showed that the levels of apoptosis, mitochondrial dysfunction, injury and fibrosis increased in TCMK-1 cells after treatment with Yoda1. However, these changes that induced by Yoda1 were relieved by BAI1. Similarly, inhibition Piezo1 with GsMTx4 also partly relieved the renal injury, renal fibrosis, apoptosis and mitochondrial dysfunction in vivo and vitro. In conclusion, we found Piezo1 promoted the initiation and development of renal fibrosis and inhibiting Piezo1 improved the fibrosis.

Predicting computational intensity (CI) is essential for domain decomposition and load balance in parallel geoprocessing. However, traditional CI prediction is limited in capturing the heterogeneity of spatial domain, leading to poor accuracy and load imbalance. Leveraging recent advancements in deep learning from Artificial Intelligence (AI), this paper proposes a deep learning-based approach for predicting CI and enhancing domain decomposition, which reduces the dependency on expert knowledge through automatic feature learning. In the approach, Convolutional Neural Networks are employed to capture the heterogeneity of spatial domain, encompassing structural, distribution, and topological characteristics. A fully connected layer is then utilized for CI prediction and optimized domain decomposition. Comparative experiments were implemented between the proposed approach and three traditional methods, using two cases: spatial intersection on vector data and peak perilousness assessment. The results demonstrate that the proposed approach achieves a speedup ratio of 19.8 and a parallel efficiency of 0.82. The findings highlight the advantages of the proposed approach in terms of parallel performance and usability. This study serves as a valuable reference for illustrating how deep learning can enhance parallel geoprocessing, providing a roadmap for applying deep learning techniques to geocomputations and fostering further advancements of AI GIS.

Published studies on outdoor air pollution and tuberculosis risk have shown heterogeneous results. Discrepancies in prior studies may be partially explained by the limited geographic scope, diverse exposure times, and heterogeneous statistical methods. Thus, we conducted a multi-province, multi-city time-series study to comprehensively investigate this issue. We selected 67 districts or counties from all geographic regions of China as study sites. We extracted data on newly diagnosed pulmonary tuberculosis (PTB) cases, outdoor air pollutant concentrations, and meteorological factors in 67 sites from January 1, 2014 to December 31, 2019. We utilized a generalized additive model to evaluate the relationship between ambient air pollutants and PTB risk. Between 2014 and 2019, there were 172,160 newly diagnosed PTB cases reported in 67 sites. With every 10-μg/m3 increase in SO2, NO2, PM10, PM2.5, and 1-mg/m3 in CO, the PTB risk increased by 1.97% [lag 0 week, 95% confidence interval (CI): 1.26, 2.68], 1.30% (lag 0 week, 95% CI: 0.43, 2.19), 0.55% (lag 8 weeks, 95% CI: 0.24, 0.85), 0.59% (lag 10 weeks, 95% CI: 0.16, 1.03), and 5.80% (lag 15 weeks, 95% CI: 2.96, 8.72), respectively. Our results indicated that ambient air pollutants were positively correlated with PTB risk, suggesting that decreasing outdoor air pollutant concentrations may help to reduce the burden of tuberculosis in countries with a high burden of tuberculosis and air pollution.

ABSTRACTDeep learning (DL) models have been widely used for remote sensing-based landslide mapping due to their impressive capabilities for automatic information extraction. However, the large volumes of parameters and calculations have compromised the efficiency of DL models in extracting landslides from a large set of RS images. Lightweight convolutional neural networks (CNNs) exhibit promising feature representation abilities with fewer parameters. This study aims to introduce a new lightweight CNN called MS2LandsNet, designed to detect landslides with both high efficiency and accuracy. The MS2LandsNet consists of three down-sampling stages embedded with multi-scale feature fusion (MFF), aiming to decrease parameters while aggregating contextual features. Additionally, we incorporate multi-scale channel attention (MSCA) into MFF to improve performance. According to experimental results on three landslip datasets, MS2LandsNet obtains the highest F1 score of 85.90% and the highest IoU of 75.28%. Notably, MS2LandsNet accomplishes the resuts with the fewest parameters and the fastest inference speed, outperforming seven classical semantic segmentation models and three lightweight CNNs. The proposed lightweight model holds potential for application on a cloud computing platform for larger-scale landslide mapping tasks in future work.

IntroductionBoth cellular and humoral responses are important for vaccine protection, but recommendations on immunosuppressants in dermatology are largely based on pre-pandemic experiences. This study aimed to investigate the impacts of immunosuppressants on humoral and cellular immunogenicity to COVID-19 vaccinations in pemphigus patients.MethodsSARS-CoV-2-naïve pemphigus patients and age-, and sex-matched healthy controls were recruited from multiple tertiary medical centers during 2021-2023. Anti-spike protein-related T-cell responses, antibody titers, and high-parameter cell analysis of the peripheral blood were utilized to investigate the inhibitory effects of immunosuppressants, including rituximab and azathioprine.ResultsA total of 32 patients and 120 healthy controls were enrolled. COVID-19 vaccinations spaced at least six months after the last rituximab infusion did not cause a significant difference in anti-viral T-cell or antibody responses between rituximab-naïve and rituximab-treated patients. All pemphigus patients demonstrated improved antibody responses after the third vaccination and none of them suffered from severe COVID-19 illness. Intriguingly, we found that daily dosages of 100 mg or more of azathioprine were linked to significantly decreased anti-viral T-cell responses induced by the vaccination (mean of fold change [SD]; higher azathioprine dosage = 0.70 [0.61] folds vs. lower azathioprine dosage = 2.11 [1.03] folds; p = 0.044).ConclusionExcept for a subset of patients with unrecovered B-cell deficiency, rituximab infusion with proper scheduling of vaccination preserved better anti-viral T-cell responses and did not lead to hindered antibody responses in pemphigus patients. All pemphigus patients benefited from receiving the third booster regardless of B-cell status.