Oxygen-defect bismuth oxychloride nanosheets for ultrasonic cavitation effect enhanced sonodynamic and second near-infrared photo-induced therapy of breast cancer.

Sonodynamic therapy (SDT) relies heavily on the presence of oxygen to induce cell death. Its effectiveness is thus diminished in the hypoxic regions of tumor tissue. To address this issue, the exploration of ultrasound-based synergistic treatment modalities has become a significant research focus. Here, we report an ultrasonic cavitation effect enhanced sonodynamic and 1208 nm photo-induced cancer treatment strategy based on thermoelectric/piezoelectric oxygen-defect bismuth oxychloride nanosheets (BNs) to realize the high-performance eradication of tumors. Upon ultrasonic irradiation, the local high temperature and high pressure generated by the ultrasonic cavitation effect combined with the thermoelectric and piezoelectric effects of BNs create a built-in electric field. This facilitates the separation of carriers, increasing their mobility and extending their lifetimes, thereby greatly improving the effectiveness of SDT and NIR-Ⅱ phototherapy on hypoxia. The Tween-20 modified BNs (TBNs) demonstrate ∼88.6 % elimination rate against deep-seated tumor cells under hypoxic conditions. In vivo experiments confirm the excellent antitumor efficacy of TBNs, achieving complete tumor elimination within 10 days with no recurrences. Furthermore, due to the high X-ray attenuation of Bi and excellent NIR-Ⅱ absorption, TBNs enable precise cancer diagnosis through photoacoustic (PA) imaging and computed tomography (CT).

Individualised cumulative cisplatin dose for locoregionally advanced nasopharyngeal carcinoma patients based on induction chemotherapy response and tumour volume.

Background and objectives: To evaluate the prognostic value of an integrated model consisting of tumour response to induction chemotherapy (IC) and gross tumour volume (GTV) after IC in nasopharyngeal carcinoma (NPC) and elucidate optimal cumulative cisplatin dose (CCD) in concurrent chemoradiotherapy (CCRT) for different subgroups. Design and methods: This retrospective study enrolled 896 patients with NPC diagnosed from 2010 to 2017 receiving IC plus radiotherapy. The primary endpoint was disease-free survival (DFS). Cut-off points for GTV were combined with IC response to develop an integrated model. Propensity score matching (PSM) was used to adjust for potential confounders. Survival outcomes and acute toxicity were compared between the different CCD groups. Results: Unsatisfactory IC response and large GTV after IC were correlated with poor survival outcomes; the AUC increased to 0.668 when these factors were incorporated. The integrated model classified patients into three groups. After PSM, radiotherapy alone and CCRT demonstrated similar efficacy in the low-risk group (complete response (CR)/partial response (PR) and GTV <68 cm3 after IC). In the intermediate-risk group (CR/PR but GTV ⩾68 cm3), CCD of >200 mg/m2 and 101-200 mg/m2 increased the 5-year DFS rates (83.7% vs 81.1% vs 65.3%, p = 0.042). In the high-risk group (stable disease/progressive disease and any GTV), the use of different CCDs did not result in significantly different survival outcomes (p = 0.793). Additionally, high CCD was significantly associated with increased incidence of grade 1-4 acute toxicity. Conclusion: The integrated model incorporating IC response and GTV after IC demonstrates satisfactory value in risk stratification and the potential to guide individualised decision-making in CCD selection. Balancing toxicity and efficacy, RT alone seems to be the optimal treatment for patients in low-risk groups and 200 mg/m2 might be the optimal dose for intermediate-risk groups. Moreover, increasing CCD does not benefit patients in high-risk groups, and treatment options for these patients require further consideration.

Multi-omics revealed that ELAVL3 regulates MYCN in neuroblastoma via immunogenic cell death: Risk stratification and experimental research.

Neuroblastoma (NB), a common and highly lethal malignant disease in pediatrics, still lacks an effective therapeutic approach that addresses all conditions. Immunogenic Cell Death (ICD) plays a crucial role in tumor cell death and triggers a potent anti-tumor immune response. In this study, we report an ICD-related index (ICDR-Index) in NB through various machine learning methodologies, utilizing bulk transcriptome data from 1244 NB samples and 16 scRNA-seq datasets. Our results showed that the ICDR-Index could accurately identify different risk subtypes of patients with NB and provide predictive value for prognosis. Importantly, we found that high-risk patients with NB exhibited significantly poor overall survival (OS) rates, adverse clinical phenotypes, poor immune cell infiltration, and low sensitivity to immunotherapy. Furthermore, we identified ELAVL3 as a key gene within the ICDR-Index, where high expression levels were associated with malignancy and poor OS in NB. Additionally, targeted silencing of ELAVL3 down-regulated MYCN gene expression and reduced the malignancy of NB cells. Notably, the si-ELAVL3-transfected NB cells enhanced the anti-tumor activity of NK cells. Collectively, this study offers avenues for predicting the risk stratification of patients with NB and reveals a potential mechanism by which ELAVL3 regulates NB cell death.

Machine learning assisted dual-modal SERS detection for circulating tumor cells.

Detecting circulating tumor cells (CTCs) from blood has become a promising approach for cancer diagnosis. Surface-enhanced Raman Spectroscopy (SERS) has rapidly developed as a significant detection technology for CTCs, offering high sensitivity and selectivity. Encoded SERS bioprobes have gained attention due to their excellent specificity and ability to identify tumor cells using Raman signals. Machine learning has also made significant contributions to biomedical applications, especially in medical diagnosis. In this study, we developed a detection strategy combining encoded SERS bioprobes and machine learning models to identify CTCs. Dual-modal SERS bioprobes were designed and co-incubated with tumor cells by the "cocktail" method. An identification model for CTCs was constructed using principal component analysis (PCA) and the Random Forest classification algorithm. This innovative strategy endows SERS bioprobes with both effective magnetic separation and highly sensitive identification of CTCs, even at low concentrations of 2 cells/mL. It achieved a high detection rate of 98% for CTCs and effectively eliminated interference from peripheral WBCs. This simple and efficient strategy provides a new approach for CTCs detection and holds important significance for cancer diagnosis.

Russula rubrosquamosa (Russulaceae, Russulales), a new species from southwestern China.

Russula rubrosquamosa (Russulaceae, Russlales) is described as a novel species from Yunnan Province, southwestern China. It is morphologically recognised by a small basidiocarp with orange-yellow to orange-red scales on the pileus and stipe, white lamellae, orange-red to bright red basal mycelia, subglobose to broadly ellipsoid basidiospores with dense warts and short or long ridges. Phylogenetically analyses of DNA sequences from part of the 28S gene combined with the nuclear rDNA internal transcribed spacer (ITS) region also confirm that R. rubrosquamosa forms an independent lineage within Russula subgenus Heterophyllidia section Ingratae. A comprehensive description, color photographs of fresh basidiomata, line-drawings of microstructures and comparisons with morphologically similar species are provided in this paper.

Practical exploration of BOPPPS model combined with situational teaching method in clinical training of intensive medicine: novel pedagogy and perception.

Objective: To explore the application value of bridge-in, learning objective, pre-assessment, participatory learning, post-assessment, and summary (BOPPPS) model combined with situational teaching method in the clinical teaching of intensive care unit (ICU), and to provide experience for the reform of ICU clinical teaching and standardized training of intensive medicine. Methods: A randomized trial was conducted using a multi-center, prospective cohort study. A total of 293 residential physicians in ICU of Fujian Medical University Union Hospital, the Affiliated Hospital of Putian University and the First Affiliated Hospital of Gannan Medical University from January 2021 to December 2023 were selected as subjects, and the residential physicians in ICU in each medical center were divided into control group and experimental group using random number table method. The control group adopted bedside teaching and demonstration teaching method, and the experimental group adopted BOPPPS model combined with situational teaching method. Clinical teaching performance was evaluated by ICU admission examination, and study process questionnaire (SPQ) and the critical thinking disposition inventory-Chinese version (CTDI-CV) was used to evaluate the learning motivation and critical thinking ability of the two groups. At the same time, the effect evaluation and satisfaction questionnaire of ICU training (EESQ) was used to evaluate the teaching satisfaction. Results: The scores of the experimental group in ICU theoretical knowledge, clinical thinking and skills, and the treatment of clinical critical cases were higher than those of the control group [(87.31 ± 13.15), (92.86 ± 12.35), (81.45 ± 11.28)] vs. [(83.94 ± 12.73), (88.37 ± 12.61), (78.83 ± 10.47)], the difference between the two groups was statistically significant (p < 0.05). The scores of surface motivation, deep motivation, achievement motivation and SPQ total scores of the experimental group were all higher than those in control group (p < 0.05), and the scores of seek truth, open mind, analytical ability, systematic ability, self-confidence of critical thinking and intellectual curiosity of the experimental group were also higher than those in the control group, and the CTDI total score was statistically significant (p < 0.05). In addition, the results of the questionnaire showed that the experimental group was better than the control group in terms of learning interest in ICU, improvement of humanistic care and doctor-patient communication ability, improvement of teamwork ability, improvement of job identity, ICU training harvest and satisfaction with teacher style (p < 0.05). Conclusion: The combination of BOPPPS model and situational teaching method is likely a more effective and helpful which may improve the clinical comprehensive ability and training quality of residential physicians, and it may be worth learning and promoting.

Case Report: Application of 18F-FDG PET/CT in identifying plasmacytoma in monoclonal gammopathy associated peripheral neuropathy.

Peripheral neuropathy is a prevalent complication in plasma cell disorders, posing significant diagnostic and therapeutic challenges. This study presents three cases initially diagnosed with chronic inflammatory demyelinating polyneuropathy (CIDP). Despite initial symptom regression post-immunomodulatory treatment, the patients exhibited progressive neurological deficits. Advanced laboratory evaluation confirmed monoclonal protein presence, yet traditional diagnostic methods, including bone marrow biopsy and flow cytometry, yielded normal results. Utilizing 18F-FDG PET/CT, we identified multiple hypermetabolic vertebral lesions, which upon biopsy, confirmed the diagnosis of plasmacytoma. Our findings underscore the utility of PET/CT as a reliable diagnostic tool for monoclonal gammopathy associated neuropathy, advocating for its consideration in cases with equivocal diagnosis. When the diagnosis is in doubt, biopsy of a lesion may facilitate early and accurate diagnosis, potentially influencing treatment strategies and patient outcomes.

Radiomic features on multiparametric MRI for differentiating pseudoprogression from recurrence in high-grade gliomas.

BACKGROUND: Distinguishing between tumor recurrence and pseudoprogression (PsP) in high-grade glioma postoperatively is challenging. This study aims to enhance this differentiation using a combination of intratumoral and peritumoral radiomics. PURPOSE: To assess the effectiveness of intratumoral and peritumoral radiomics in improving the differentiation between high-grade glioma recurrence and pseudoprogression after surgery. MATERIAL AND METHODS: A total of 109 cases were randomly divided into training and validation sets, with 1316 features extracted from intratumoral and peritumoral volumes of interest (VOIs) on conventional magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) maps. Feature selection was performed using the mRMR algorithm, resulting in intratumoral (100 features), peritumoral (100 features), and combined (200 features) subsets. Optimal features were then selected using PCC and RFE algorithms and modeled using LR, SVM, and LDA classifiers. Diagnostic performance was compared using area under the receiver operating characteristic curve (AUC), evaluated in the validation set. A nomogram was established using radscores from intratumoral, peritumoral, and combined models. RESULTS: The combined model, utilizing 14 optimal features (8 peritumoral, 6 intratumoral) and LR as the best classifier, outperformed the single intratumoral and peritumoral models. In the training set, the AUC values for the combined model, intratumoral model, and peritumoral model were 0.938, 0.921, and 0.847, respectively; in the validation set, the AUC values were 0.841, 0.755, and 0.705. The nomogram model demonstrated AUCs of 0.960 (training set) and 0.850 (validation set). CONCLUSION: The combination of intratumoral and peritumoral radiomics is effective in distinguishing high-grade glioma recurrence from pseudoprogression after surgery.

Identification of Disulfidptosis-Related LncRNA Subtypes, Establishment of a Prognostic Signature, and Characterization of Immune Infiltration in Ovarian Cancer.

BACKGROUND: Ovarian Cancer (OC) is a lethal malignant tumor with a poor prognosis. Disulfidptosis is a newly identified form of cell death caused by disulfide stress. Targeting disulfidptosis is a new metabolic therapeutic strategy in cancer treatment. We aimed to establish a disulfidptosis- related lncRNA signature for prognosis prediction and explore its treatment values in OC patients. METHOD: Data from the TCGA and GTEx databases and a disulfidptosis gene set were used to establish a disulfidptosis-related lncRNA signature for prognosis prediction in OC patients. Then, we internally and externally (PCR) validated our model. We also built a nomogram to improve our model's predictive power. Afterward, GSEA was employed to explore our model's potential functions. The ESTIMATE, CIBERSORT, TIMER, and ssGSEA were applied to estimate the immune landscape. Finally, the drug sensitivity of certain drugs for OC patients was analyzed. RESULTS: We built a prognosis model based on seven drlncRNAs, including AL157871.2, HCP5, AC027348.1, AL109615.3, AL928654.1, LINC02585, and AC011445.1. Our model performed well by internal validation. PCR data also confirmed the same trend in the lncRNA levels. Furthermore, the nomogram-integrated age, grade, stage, and risk score could accurately predict the survival outcomes of OC patients. Subsequently, GSEA unveiled that our model genes enriched the Hedgehog signaling pathway, a key regulator in OC tumorigenesis. Our predictive signature was associated with immune checkpoints, such as PD-1(P < 0.01), PD-L1(P < 0.001), and CTLA4 (P < 0.01), which might help screen out OC patients who are sensitive to immunotherapy. Small molecule drugs, such as AZD-2281, GDC-0449, imatinib, and nilotinib, might benefit OC patients with different risk scores. CONCLUSION: Our disulfidptosis-related lncRNA signature comprised of AL157871.2, HCP5, AC027348.1, AL109615.3, AL928654.1, LINC02585, and AC011445.1 could serve as a prognostic biomarker and guidance to therapy response for OC patients.

UCF101 Rescues against Diabetes-Evoked Cardiac Remodeling and Contractile Anomalies through AMPK-Mediated Induction of Mitophagy.

BACKGROUND: Diabetes mellitus is known to provoke devastating anomalies in myocardial structure and function while effective therapeutic regimen is still lacking. The selective protease inhibitor UCF101 (5-[5-(2-nitrophenyl) furfuryliodine]-1,3-diphenyl-2-thiobarbituric acid) has been shown to fend off ischemic heart injury although its impact on diabetic cardiomyopathy remains elusive. METHOD: Our present work was conducted to examine the effect of UCF101 on experimental diabetes-evoked cardiac geometric and functional abnormalities as well as mechanism involved. Adult mice were made diabetic using streptozotocin (STZ) while receiving UCF101 (7.15 mg/kg, i.p.) for 6 consecutive days. RESULT: STZ evidently evoked cardiac hypertrophy, interstitial fibrosis, mitochondrial ultrastructural damage, oxidative stress, dampened autophagy (LC3B, Beclin1, elevated p62), mitophagy (FUNDC1 and Parkin with elevated TOM20), increased left ventricular (LV) end systolic diameter, dampened fractional shortening, ejection fraction, cardiomyocyte shortening capacity, velocities of shortening/relengthening, and rise in intracellular Ca2+ in conjunction with elongated diastole and intracellular Ca2+ removal, the responses were overtly reconciled by UCF101 with little effect from UCF101 itself. Levels of cell injury markers Omi/HtrA2, TNFα, and stress signaling (JNK, ERK, p38) were overtly enhanced along with compromised phosphorylation of cellular fuel AMPK (Thr172) and cell survival molecule GSK3ß, as well as downregulated SERCA2a and elevated phospholamban, the effect was reversed by UCF101 (except for SERCA2a). AMPK knockout, pharmacological inhibition, mitophagy inhibitor liensinine and parkin knockout nullified UCF101-offered cardioprotection in diabetes. UCF101 reversed STZ-induced upregulation in the AMPK degrading enzymes PP2A and PP2C. CONCLUSION: These findings denote that UCF101 rescues diabetes-instigated alterations in cardiac structure and contraction, likely through AMPK-mediated regulation of mitophagy.

Identification of novel biomarkers for atherosclerosis using single-cell RNA sequencing and machine learning.

Atherosclerosis (AS) is a predominant etiological factor in numerous cardiovascular diseases, with its associated complications such as myocardial infarction and stroke serving as major contributors to worldwide mortality rates. Here, we devised dependable AS-related biomarkers through the utilization of single-cell RNA sequencing, weighted co-expression network (WGCNA), and differential expression analysis. Furthermore, we employed various machine learning techniques (LASSO and SVM-RFE) to enhance the identification of AS biomarkers, subsequently validating them using the GEO dataset. Following this, CIBERSORT was employed to investigate the correlation between biomarkers and infiltrating immune cells. Consequently, 256 differentially expressed genes (DEGs) were selected in samples of AS and normal. GO and KEGG analyses indicated that these DEGs may be related to the negative regulation of leukocyte-mediated immunity, leukocyte cell-cell adhesion, and immune system processes. Notably, C1QC and COL1A1 were pinpointed as potential diagnostic markers for AS, a finding that was further validated in the GSE21545 dataset. Moreover, the area under the curve (AUC) values for these markers exceeded 0.8, underscoring their diagnostic utility. Analysis of immune cell infiltration revealed that the expression of C1QC was correlated with M0 macrophages, gamma delta T cells, activated mast cells and memory B cells. Similarly, COL1A1 expression was linked to M0 macrophages, memory B cells, activated mast cells, gamma delta T cells, and CD4 native T cells. Finally, these results were validated using mice and human samples through immunofluorescence, immunohistochemistry, and ELISA analysis. Overall, C1QC and COL1A1 would be potential biomarkers for AS diagnosis, and that would provides novel perspectives on the diagnosis and treatment of AS.

Multi-Scale Spatio-Temporal Memory Network for Lightweight Video Denoising.

Deep learning-based video denoising methods have achieved great performance improvements in recent years. However, the expensive computational cost arising from sophisticated network design has severely limited their applications in real-world scenarios. To address this practical weakness, we propose a multiscale spatio-temporal memory network for fast video denoising, named MSTMN, aiming at striking an improved trade-off between cost and performance. To develop an efficient and effective algorithm for video denoising, we exploit a multiscale representation based on the Gaussian-Laplacian pyramid decomposition so that the reference frame can be restored in a coarse-to-fine manner. Guided by a model-based optimization approach, we design an effective variance estimation module, an alignment error estimation module and an adaptive fusion module for each scale of the pyramid representation. For the fusion module, we employ a reconstruction recurrence strategy to incorporate local temporal information. Moreover, we propose a memory enhancement module to exploit the global spatio-temporal information. Meanwhile, the similarity computation of the spatio-temporal memory network enables the proposed network to adaptively search the valuable information at the patch level, which avoids computationally expensive motion estimation and compensation operations. Experimental results on real-world raw video datasets have demonstrated that the proposed lightweight network outperforms current state-of-the-art fast video denoising algorithms such as FastDVDnet, EMVD, and ReMoNet with fewer computational costs.

Quantifying the importance of factors in predicting non-suicidal self-injury among depressive Chinese adolescents: A comparative study between only child and non-only child groups.

BACKGROUND: Depression is a major global public health concern, often co-occurring with Non-Suicidal Self-Injury (NSSI). Focused on Depressive adolescents, this study aimed to quantify the importance of factors in predicting NSSI and compare them between the only child and non-only child groups, enriching knowledge to leverage tailored intervention strategies. METHODS: A large multicenter survey was conducted in China. 2510 adolescents diagnosed with Major Depressive Disorder (MDD) volunteered for the study. 36 factors were included to train random forest models for NSSI prediction in only child and non-only child groups, respectively. The SHapley Additive exPlanations (SHAP) method was utilized to compute the relative importance of each factor in two groups. RESULTS: Adolescents with MDD exhibited a rather high prevalence of NSSI (52.0 %), among them 66.9 % were non-only children. Self-esteem was the most significant factor for both groups, while critical disparities of factors were also found. In the only child group, factors like family support, parental overprotection, drinking alcohol, sleep conditions and romantic relationship involvement showed greater importance, while higher depression degree, anxiety level and emotional abuse were more important factors for non-only children. LIMITATIONS: The use of cross-sectional data from Chinese adolescents may limit deeper analysis of NSSI mechanisms and the generalizability to Western cultures. CONCLUSIONS: Only and non-only child family structures may have different influence on factors related with NSSI occurrence of adolescents with MDD. Only children were more susceptible to vulnerable family environments, alcohol abuse and romantic experience, while non-only children were more disturbed by abnormal mental states.

Enhancing the Reaction Kinetics and Stability of Co-Free Li-Rich Cathode Materials via a Multifunctional Strategy.

Co-free Li-rich layered oxides (CFLLOs) with anionic redox activity are among the most promising cathode materials for high-energy-density and low-cost lithium-ion batteries (LIBs). However, irreversible oxygen release often causes severe structural deterioration, electrolyte decomposition, and the formation of unstable cathode-electrolyte interface (CEI) film with high impedance. Additionally, the elimination of cobalt elements further deteriorates the reaction kinetics, leading to reduced capacity and poor rate performance. Here, a multifunctional strategy is proposed, incorporating Li2MnO3 phase content regulation, micro-nano structure design, and heteroatom substitution. The increased content of Li2MnO3 phase enhances the capacity through oxygen redox. The smaller nanoscale primary particles induce greater tensile strain and introduce more grain boundaries, thereby improving the reaction kinetics and reactivity, while the larger micron-sized secondary particles help to reduce interfacial side reactions. Furthermore, Na⁺ doping modulates the local coordination environment of oxygen, stabilizing both the anion framework and the crystal structure. As a result, the designed cathode exhibits enhanced rate performance, delivering a capacity of 158 mAh g⁻¹ at 5.0 C and improved cyclic stability, with a high capacity retention of 99% after 400 cycles at 1.0 C. This multifunctional strategy holds great promise for advancing the practical application of CFLLOs in next-generation LIBs.

Activation of protein kinase B rescues against thapsigargin-elicited cardiac dysfunction through regulation of NADPH oxidase and ferroptosis.

Endoplasmic reticulum (ER) stress is a known contributor to cardiac remodeling and contractile dysfunction. Although NADPH oxidase has been implicated in ER stress-induced organ damage, its specific role in myocardial complications resulting from ER stress remains unclear. This study aimed to investigate the possible involvement of NADPH oxidase in ER stress-induced myocardial abnormalities and to evaluate the impact of Akt constitutive activation on these myocardial defects. Mice with cardiac-specific overexpression of active mutant of Akt (Myr-Akt) and their wild-type (WT) littermates were treated with ER stress instigator thapsigargin (1 mg/kg, i. p. 72 hrs) before evaluating myocardial morphology and function. Our results noted that thapsigargin significantly impaired echocardiographic parameters and cell shortening indices, including elevated LVESD, decreased ejection fraction, fractional shortening, peak shortening, electrically-stimulated intracellular Ca2+ release, and cardiomyocyte survival. These functional deteriorations were accompanied by upregulation of NADPH oxidase, O2- production, mitochondrial damage, carbonyl formation, lipid peroxidation, apoptosis, and interstitial fibrosis, with unchanged myocardial size. Constitutive Akt hyperactivation did not generate any response on myocardial morphology and function, although it greatly suppressed or nullified thapsigargin-induced myocardial remodeling and dysfunction. Thapsigargin also triggered dephosphorylation of Akt and its downstream signal GSK3ß, along with development of ferroptosis, all of which were nullified by Akt hyperactivation. In vitro studies further revealed that thapsigargin provoked cardiomyocyte mechanical anomalies and lipid peroxidation, similar to in vivo results. These effects were reverted by inhibitors of NADPH oxidase and ferroptosis (apocynin and LIP1). Collectively, our data denote an important protective role for Akt hyperactivation in thapsigargin-evoked myocardial anomalies, likely through NADPH oxidase-mediated regulation of ferroptosis.

Systemic lupus erythematosus with podocyte infolding glomerulopathy: A case report and literature review.

RATIONALE: Podocyte infolding glomerulopathy (PIG) is a rare glomerular disease, its diagnosis mainly depends on pathological manifestations of the kidney. Few clinical cases of PIG have been reported, but it is sometimes associated with connective tissue diseases. Here we describe a case of systemic lupus erythematosus (SLE) with PIG and undertake a review of the literature. PATIENT CONCERNS: A 34-year-old female patient was admitted to our hospital in August 2019 with repeated facial erythema and proteinuria for more than 10 years. The patient was previously diagnosed with SLE. DIAGNOSIS: Systemic lupus erythematosus. INTERVENTIONS: Renal biopsy was performed to investigate ongoing proteinuria and the results were consistent with PIG. Treatment with methylprednisolone, hydroxychloroquine sulfate, mycophenolate mofetil, and candesartan ester. OUTCOMES: Improved the patient's condition and resolved the proteinuria. LESSONS: This study reported a case of PIG and SLE. The patient was diagnosed according to biopsy, and the disease remain stable after immunosuppressive therapy. It is recommended to carefully study renal biopsies from patients with proteinuria and underlying autoimmune diseases to identify additional cases.

A core-shell model of polymetallic hybrid metal halides.

Most polymetallic hybrid metal halides are assumed to show a homogenous distribution of the metal ions in the bulk. Herein, we demonstrate a core-shell model for the hybrid lead halide [(C6H18N3)2·Pb2Br10] (C6H18N3 = 2-(piperazin-1-yl)ethan-1-aminium) coated with a manganese bromide layer. This model can explain the different photoemission of this composite material, and provides new insights on the investigation of polymetallic low-dimensional organic metal halides.

Changes in postoperative depression and anxiety and their relationship with recovery from femoral head necrosis: A longitudinal study.

BACKGROUND: Femoral head necrosis (FHN) can significantly affect patients' psychological well-being and functional outcomes. However, the long-term relationship between postoperative depression, anxiety, and functional recovery in patients with FHN remains unclear. AIM: To investigate the dynamic changes in postoperative depression and anxiety and their relationship with functional recovery in patients with FHN for 3 years. METHODS: Ninety-three patients with FHN who underwent surgical treatment in March 2020 to 2023 were enrolled in this longitudinal study. Depression and anxiety status were assessed using the hospital anxiety and depression scale (HADS) at baseline, 6 months, 1, 2, and 3 years postoperatively. Functional recovery was evaluated using the Harris hip score (HHS). The dynamic changes in HADS and HHS were analyzed using repeated measures ANOVA; the relationship between depression/anxiety status and functional recovery was examined using Pearson's correlation analysis. RESULTS: The mean HADS-depression (HADS-D) and HADS-anxiety (HADS-A) scores significantly improved over time (P < 0.001). The prevalence of depression and anxiety decreased from 36.6% and 41.9% at baseline to 10.8% and 12.9%, respectively, at 3 years postoperatively. The mean HHS increased significantly from 52.3 ± 10.5 at baseline to 88.1 ± 7.2 at 3 years postoperatively (P < 0.001). Significant negative correlations were found between HADS-D/HADS-A scores and HHS at all time points (P < 0.05). CONCLUSION: The severity of depression and anxiety negatively correlated with functional recovery, highlighting the importance of psychological interventions in the management of patients with FHN.

PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression with Discretization and Pooling.

Non-maximum suppression (NMS) is an essential post-processing step for object detection. The de-facto standard for NMS, namely GreedyNMS, is not parallelizable and could thus be the performance bottleneck in object detection pipelines. MaxpoolNMS is introduced as a fast and parallelizable alternative to GreedyNMS. However, MaxpoolNMS is only capable of replacing the GreedyNMS at the first stage of two-stage detectors like Faster R-CNN. To address this issue, we observe that MaxpoolNMS employs the process of box coordinate discretization followed by local score argmax calculation, to discard the nested-loop pipeline in GreedyNMS to enable parallelizable implementations. In this paper, we introduce a simple Relationship Recovery module and a Pyramid Shifted MaxpoolNMS module to improve the above two stages, respectively. With these two modules, our PSRR-MaxpoolNMS is a generic and parallelizable approach, which can completely replace GreedyNMS at all stages in all detectors. Furthermore, we extend PSRR-MaxpoolNMS to the more powerful PSRR-MaxpoolNMS++. As for box coordinate discretization, we propose Density-based Discretization for better adherence to the target density of the suppression. As for local score argmax calculation, we propose an Adjacent Scale Pooling scheme for mining out the duplicated box pairs more accurately and efficiently. Extensive experiments demonstrate that both our PSRR-MaxpoolNMS and PSRR-MaxpoolNMS++ outperform MaxpoolNMS by a large margin. Additionally, PSRR-MaxpoolNMS++ not only surpasses PSRR-MaxpoolNMS but also attains competitive accuracy and much better efficiency when compared with GreedyNMS. Therefore, PSRR-MaxpoolNMS++ is a parallelizable NMS solution that can effectively replace GreedyNMS at all stages in all detectors.

Impact of oral health literacy on oral health behaviors and outcomes among the older adults: a scoping review.

BACKGROUND: Oral Health Literacy (OHL), defined as an ability to obtain, understand, and apply information related to oral health, plays a crucial role in promoting effective oral health outcomes and behaviors. Given the pressing need to enhance oral health among older adults, this scoping review aims to summarize the impact of OHL on oral health behaviors and outcomes in this population. METHODS: The authors performed an electronic search up through July 22, 2024. Among the 2,226 articles identified, the authors included studies in which the investigators evaluated the association between OHL and oral health behaviors or outcomes restricted to individuals aged 60 years and older. Thematic analysis was used to develop the domain for oral health behaviors or outcomes. RESULTS: Among the 10 studies analyzed, significant correlations were identified between OHL and various oral health indicators, including periodontitis, the number of remaining teeth, dental prosthesis use, oral hygiene, oral health-related quality of life among men, as well as dissatisfaction with oral health (p < 0.05). However, the results were conflicting across the studies, indicating variability in the strength and nature of these associations. Additionally, OHL was shown to significantly influence oral health-related behaviors, especially the tooth brushing frequency (p < 0.05). CONCLUSIONS: This review highlights a scarcity of studies addressing OHL in older populations, suggesting that OHL has been deprioritized in efforts to improve oral health for this vulnerable group. Key gaps include the need for age-appropriate OHL assessment tools, stronger evidence linking OHL to specific oral health behaviors and outcomes, and the integration of OHL into broader health initiatives and research in older group. These areas are critical to advancing our understanding and improving oral health outcomes among older adults.