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Cell senescence is an anti-cancer strategy following DNA repair and apoptosis, which is associated with the initiation, progression, and treatment of ovarian cancer. The CDK4/6 inhibitor alters cell cycle and induces cell senescence dependent on retinoblastoma (RB) family proteins. Objective Herein, we aimed to explore the effects of Palbociclib (a CDK4/6 inhibitor) on cellular senescence of high-grade serous ovarian cancer (HGSOC). Cell viability and cell cycle were evaluated by cell counting kit-8 and flow cytometry. Cell senescence was analyzed using the SA-β-gal staining assay. The senescence-associated secretory phenotype was assessed using quantitative PCR (qPCR). Senescence-related markers were tested using western blot. The role of Palbociclib in vivo was clarified using xenograft tumor. Acetylation of p53 was evaluated by qPCR and western blot. The results showed that Palbociclib inhibited cell viability, blocked cell cycle at G0/G1 phase, and induced cell senescence. A rescue study indicated that knockdown of p53 reversed the effects on cell cycle and senescence induced by Palbociclib. Moreover, we found that Palbociclib promotes P300-mediated p53 acetylation, thus increasing p53 stability and transcription activity. Moreover, Palbociclib suppressed tumor growth in vivo with increased p53 and acetylated p53 levels. In conclusion, Palbociclib induced cell senescence of HGSOC through P300-mediated p53 acetylation, suggesting that Palbociclib may have the effect of treating HGSOC. [ABSTRACT FROM AUTHOR]

This study aims to analyze the clinicopathological characteristics and survival outcomes of cutaneous soft tissue sarcomas (CSTS) in children. We selected pediatric cases of CSTS diagnosed between 2000 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database. Survival rates were calculated using Kaplan-Meier methods. We performed univariate analyses with the log-rank test and multivariate survival analyses using Cox proportional-hazards models to determine factors affecting overall survival (OS). Additionally, we constructed a predictive nomogram based on the outcomes of the Cox regression. A total of 148 pediatric patients with CSTS were reviewed. The median age at diagnosis was 13 years (range: 0–18 years). Prognostically, tumors located on the extremities showed better outcomes compared to those on the head, neck, or trunk. Among the histological types, angiosarcoma had the lowest five-year survival rate at 51.3%, which was substantially lower compared to fibrous histiocytoma and leiomyosarcoma. Cox regression analysis highlighted surgical intervention as the only significant independent prognostic factor for OS, with an increased risk of mortality observed in patients not undergoing surgery. Additionally, patients with distant-stage disease exhibited significantly lower survival rates than those with localized conditions. Pediatric CSTS represents a diverse and infrequent group of tumors, predominantly fibrous histiocytoma and leiomyosarcoma. Surgery was identified as the crucial determinant of survival, underscoring its role in effectively managing these patients. [ABSTRACT FROM AUTHOR]

Tumor immune microenvironmental alterations occur early in multiple myeloma (MM) development. In this study, we aim to systematically characterize the tumor immune microenvironment (TME) and the tumor-immune interactions from precursor stages, i.e., monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM), to newly diagnosed MM, comparing these to healthy donors. Using CIBERSORT, mass cytometry (CyTOF), and single-cell RNA sequencing (scRNA-Seq), we examined innate and adaptive immune changes across these stages. We found a decrease in granulocytes in the TME predicts MM outcomes. HLA-DR is reduced in CD16+ monocytes and plasmacytoid dendritic cells, while myeloid dendritic cells show decreased expression of stress and immune-response genes. NK cells and CD8+ T cells shift from a GZMK+ to a GZMB+ cytotoxic phenotype in the TME, with increased inhibitory markers TIM3 and TIGIT. In paired samples, the proportion and gene expression pattern in patient-specific GZMB+CD8+ T cells remain largely unchanged despite MM progression. Our findings provide a comprehensive immune landscape of MM and its precursors, offering insights into therapeutic strategies. Enhancing neutrophil and NK cell cytotoxicity, tumor antigen presentation, and CD8+ T cell versatility in precursor stages may prevent MM progression. [ABSTRACT FROM AUTHOR]

Endometriosis is a multifactorial gynecological disease, with angiogenesis as a key hallmark. The role of exosomal microRNAs (miRNAs) in endometriosis is not well understood. This study investigates differentially expressed exosomal miRNAs linked to angiogenesis in endometriosis, clarifies their molecular mechanisms, and identifies potential targets. Primary endometrial stromal cells (ESCs) were cultured, and exosomes were extracted. In a co-culture system, ESC-derived exosomes were taken up by human umbilical vein endothelial cells (HUVECs). Endometriosis implant-ESC-derived exosomes (EI-EXOs) significantly promoted HUVEC proliferation, migration and tube formation compared to normal endometrium-exosomes (NE-EXOs), a finding consistent in vivo in mice. MiRNA sequencing and bioinformatics identified differentially expressed miR-21-5p from EI-EXOs, confirmed by RT-qPCR. The miR-21-5p inhibitor or GW4869 attenuated EI-EXO-induced HUVEC proliferation, migration, and tube formation. TIMP3 overexpression diminished the pro-angiogenic effect of EI-EXOs, which was reversed by adding EI-EXOs or upregulating miR-21-5p. These findings validate the crosstalk between ESCs and HUVECs mediated by exosomal miR-21-5p, and confirm the miR-21-5p-TIMP3 axis in promoting angiogenesis in endometriosis. Key messages: ESC-derived exosomes were found to be taken up by recipient cells, i.e. HUVECs. Functionally, endometriosis implant-ESC-derived exosomes (EI-EXOs) could significantly promote the proliferation, migration and tube formation of HUVECs compared to normal endometrium-exosomes (NE-EXOs). Through miRNA sequencing and bioinformatics analysis, differentially expressed miR-21-5p released by EI-EXOs was chosen, as confirmed by qRT-PCR. miR-21-5p inhibitor or GW4869 was found to attenuate the proliferation, migration, and tube formation of HUVECs induced by EI-EXOs. In turn, TIMP3 overexpression diminished the pro-angiogenic effect of EI-EXOs, and this angiogenic phenotype was reversed once EI-EXOs were added or miR-21-5p was upregulated. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Suppurative perichondritis of the auricle is a common disease that can easily cause malformations if it develops into an uncontrolled infection. In nearly half of the cases, otolaryngologists cannot identify the pathogens involved. Case presentation: In the present work, we described two cases of pyogenic perichondritis, with negative on conventional culture. However, using metagenomic next-generation sequencing (mNGS), we detected fungal infections in the patients and after the patients were given anti-fungal treatment, the patients achieved a good prognosis. Conclusions: These cases highlighted the possibility that fungi might be the involved pathogens in patients who have had multiple negative bacterial cultures, and mNGS should be applied in these cases. mNGS could be used as a supplement to traditional culture methods. [ABSTRACT FROM AUTHOR]

Iron overload is associated with brain edema in the context of intracerebral hemorrhage (ICH). Here, we investigated the role of histone deacetylase 1 (HDAC1) in mediating oxidative damage induced by iron overload after ICH. Utilizing ICH mouse models and FeCl2-induced HT-22 cell models, we assessed HDAC1 expression and its impact on iron overload and oxidative damage. We examined the levels of Kruppel like factor 4 (KLF4), RAN binding protein 9 (RANBP9), as well as the acetylation levels of HDAC1 and histones H3 and H4 in the KLF4 promoter, and the KLF4 level in the RANBP9 promoter. Additionally, we investigated the binding relationships between KLF4 and the RANBP9 promoter, HDAC1 and miR-129-5p. Our results demonstrated elevated HDAC1 expression in ICH mice and FeCl2-induced HT-22 cells. HDAC1 silencing improved neurological function in mice, reduced brain edema, and alleviated iron overload and oxidative damage in vitro. HDAC1 downregulated KLF4 expression by reducing acetylation levels in the KLF4 promoter, leading to decreased KLF4 enrichment in the RANBP9 promoter and increased RANBP9 expression. Furthermore, upstream miR-129-5p inhibited HDAC1, and the downregulation of miR-129-5p mitigated the protective effect of HDAC1 silencing. Collectively, our findings highlight the significant role of HDAC1 in exacerbating iron overload-induced oxidative damage following ICH and its regulation by miR-129-5p. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We propose a novel video anomaly detection method that leverages two updatable memory modules to learn and update prototypical patterns of normal and abnormal data within an autoencoder (AE) framework. To enhance the robustness of the model, we employ a pseudo anomaly synthesizer to generate synthetic anomalies from normal data, and train the AE to minimize the reconstruction loss on pseudo anomalies while maximizing it on normal data. The memory modules are optimized using a feature compactness loss and a separateness loss to refine the representation of details, and skip connections are incorporated to prevent the recording of only the most prototypical patterns. Additionally, a memory loss is proposed to enhance the distinction between the two memory modules, thereby enabling effective anomaly detection. Experimental results demonstrate the efficacy of our approach, underscoring the importance of the two updatable memory modules in achieving state-of-the-art performance in video anomaly detection. Our code is available at https://github.com/SVIL2024/Memup.git. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to develop a double antigen sandwich ELISA (DAgS-ELISA) method for more efficient, accurate, and quantitative detection of total antibodies against Candida albicans enolase1 (CaEno1) for diagnosing invasive candidiasis (IC). Methods: DAgS-ELISA was developed using recombinant CaEno1 and a monoclonal antibody as the standard. Performance evaluation included limit of detection, accuracy, and repeatability. Dynamic changes in antibody levels against CaEno1 in serum from systemic candidiasis mice were analyzed using DAgS-ELISA. Patient serum samples from IC, Candida colonization, bacterial infections, and healthy controls were analyzed with DAgS-ELISA and indirect ELISA. Results: DAgS-ELISA outperformed indirect ELISA in terms of linear range and test background. In systemic candidiasis mice, a distinctive 'double-peak' pattern in dynamic antibody levels was observed. Additionally, there was a high level of consistency in the positive rates of CaEno1 antibodies detected by both DAgS-ELISA and indirect ELISA. While the positivity rates differed among patient groups, no significant variations in antibody levels were detected among the various positive patient groups. Conclusions: DAgS-ELISA offers a reliable novel approach for IC diagnosis, enabling rapid, accurate, and quantitative detection of CaEno1 antibodies. Further validation and optimization are needed for its clinical application and effectiveness. [ABSTRACT FROM AUTHOR]

Bronchopulmonary dysplasia (BPD), caused by hyperoxia exposure, is the most common complication affecting preterm infants. The C-X-C motif chemokine ligand 17 (CXCL17) belongs to the chemokine family that plays important roles in various processes, but the function in BPD is unknown. Elevated serum CXCL17 levels were observed in human premature infants with hyperoxia-induced lung injury, suggesting that CXCL17 might be involved in BPD. To further validate our speculation, studies were conducted in a hyperoxia-induced lung injury mouse model and primary murine alveolar epithelial cells Type II (T2AEC) cells exposed to hyperoxia. RT-qPCR and western blot were used to validate CXCL17 expression in newborn mice. Hyperoxia exposure-induced lung injury was determined by assessing the lung wet-weight/dry-weight ratio and histological changes. Oxidative stress and inflammatory factors were examined by ELISA assay and RT-qPCR. Reactive oxygen species (ROS) level was evaluated by DHE staining. Apoptosis was assessed by TUNEL staining and western blot. The results showed that hyperoxia exposure increased CXCL17 levels in newborn mice pups. Hyperoxia exposure increased lung wet-weight/dry-weight ratio, increased alveolar diameter and enlarged alveoli, and reduced surfactant protein C expression. However, recombinant CXCL17 (rCXCL17) treatment alleviated hyperoxia-induced lung injury. rCXCL17 treatment inhibited hyperoxia-induced inflammation, oxidative stress, and apoptosis in neonatal mice. These results were further verified in T2AEC cells. Additionally, rCXCL17 treatment activated the AKT pathway, which is a protective pathway in BPD. Collectively, rCXCL17 alleviates hyperoxia-induced lung injury in neonatal mice by activating the AKT pathway, indicating that CXCL17 may be a promising target for BPD therapy. [ABSTRACT FROM AUTHOR]

A linearly implicit conservative difference scheme is applied to discretize the attractive coupled nonlinear Schrödinger equations with a fractional Laplacian. In this case complex symmetric linear systems appear, with indefinite and Toeplitz-plus-diagonal system matrices. Standard fast methods of direct solution or iteration using a preconditioner are not applicable for such systems. A novel iterative method is proposed, based on the normal splitting of the equivalent real block form of linear systems. Unconditional convergence is proved and the quasi-optimal iteration parameter is deducted. The preconditioner for this method is obtained naturally; it is constructed and efficiently implemented using the fast Fourier transform. The theoretical analysis shows that the eigenvalues of the preconditioned system matrix are closely clustered. The numerical experiments demonstrate that the new preconditioner significantly speeds up the convergence rate of iterative Krylov subspace methods. In particular, the convergence behavior of the corresponding preconditioned generalized minimum residual method is independent of the mesh size and practically insensitive to the fractional order. Moreover, the linearly implicit conservative difference scheme in this case preserves the mass and energy with the given accuracy. [ABSTRACT FROM AUTHOR]

The main cause of corneal blindness worldwide is keratitis, especially the infectious form caused by bacteria, fungi, viruses, and Acanthamoeba. The key to effective management of infectious keratitis hinges on prompt and precise diagnosis. Nevertheless, the current gold standard, such as cultures of corneal scrapings, remains time-consuming and frequently yields false-negative results. Here, using 23,055 slit-lamp images collected from 12 clinical centers nationwide, this study constructed a clinically feasible deep learning system, DeepIK, that could emulate the diagnostic process of a human expert to identify and differentiate bacterial, fungal, viral, amebic, and noninfectious keratitis. DeepIK exhibited remarkable performance in internal, external, and prospective datasets (all areas under the receiver operating characteristic curves > 0.96) and outperformed three other state-of-the-art algorithms (DenseNet121, InceptionResNetV2, and Swin-Transformer). Our study indicates that DeepIK possesses the capability to assist ophthalmologists in accurately and swiftly identifying various infectious keratitis types from slit-lamp images, thereby facilitating timely and targeted treatment. [ABSTRACT FROM AUTHOR]

This investigation delves into the structural foundation of human dermal telocytes (TCs) with the aim of elucidating their role in signal transmission. Dermal TCs were isolated from human foreskins via enzymatic digestion and flow cytometric sorting, and identified by immunohistochemical staining with an antibody against CD34. The ultrastructure of TCs was examined using transmission electron microscopy (TEM). The proliferation rates of sorted TCs and CD34-negative fibroblasts were compared using the MTS assay (Cell Proliferation Assay). Images of viable cultured TCs were analyzed using atomic force microscopy (AFM) under normal atmospheric pressure and temperature. Results demonstrated that dermal TCs were positive for CD34 and vimentin, predominantly distributed in the reticular dermis and subcutaneous tissue, forming interwoven networks. Each TC had a small body with a high nuclear-plasma ratio and two or three extremely long and thin telopodes (TPs), exhibiting a typical 'moniliform' appearance. Compared with CD34-negative fibroblasts, dermal TCs exhibited significantly lower proliferation rates. Cultured TCs displayed typical moniliform projections (namely, TPs) in the AFM images. The distal ends of TPs were enlarged, shaped like a broom, and extended multiple pseudopods to contact other cell bodies. Slender filamentary pseudopodia and thick, short cone-like structures were observed on the surfaces of the dilated segments and terminals of TPs. These structures are assumed to be evidence of the secretion and release of endosomes, such as exosomes, and the communication between cells. TCs form interstitial networks in the reticular dermis and subcutaneous tissue, providing a structural basis for contacts between cells and the secretion of signal-carrying substances, involving intercellular connections and communication. [ABSTRACT FROM AUTHOR]

The brain presents age-related structural and functional changes in the human life, with different extends between subjects and groups. Brain age prediction can be used to evaluate the development and aging of human brain, as well as providing valuable information for neurodevelopment and disease diagnosis. Many contributions have been made for this purpose, resorting to different machine learning methods. To solve this task and reduce memory resource consumption, we develop a mini architecture of only 10 layers by modifying the deep residual neural network (ResNet), named ResNet mini architecture. To support the ResNet mini architecture in brain age prediction, the brain age dataset (OpenNeuro #ds000228) that consists of 155 study participants (three classes) and the Alzheimer MRI preprocessed dataset that consists of 6400 images (four classes) are employed. We compared the performance of the ResNet mini architecture with other popular networks using the two considered datasets. Experimental results show that the proposed architecture exhibits generality and robustness with high accuracy and less parameter number. [ABSTRACT FROM AUTHOR]

Purpose: To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs). Methods: We develop an automatic system for detecting multiple common CEDs involving an enhanced compact convolutional transformer (ECCT). Specifically, we introduce a cross-head relative position encoding scheme into a standard self-attention module to capture contextual information among different regions and employ a token-attention feed-forward network to place greater focus on valuable abnormal regions. Results: A total of 2723 images from CED patients are used to train our system. It achieves an accuracy of 89.53%, and the area under the receiver operating characteristic curve (AUC) is 0.958 (95% CI 0.943–0.971) on images from multiple centres. Conclusions: Our system is the first artificial intelligence-based system for diagnosing CEDs worldwide. Images can be uploaded to a specified website, and automatic diagnoses can be obtained; this system can be particularly helpful under pandemic conditions, such as those seen during the recent COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Using traditional materials to improve the permeability of silty soils can cause irreversible damage to the environment. Therefore, it is necessary to develop environmentally friendly biopolymers, such as xanthan gum (XG), to replace traditional materials to improve resistance to water erosion by reducing the permeability coefficient. In this study, a series of permeability tests and scanning electron microscope (SEM) tests were conducted on xanthan gum-improved silty soil (XGS). The variations in the permeability coefficient of XG-improved silty soil and the effects of initial dry density, XG-soil ratio, and curing age on the permeability were investigated. Test results show that the permeability coefficient of XGS decreased with the increase of initial dry density, XG-soil ratio, and curing age. With increasing the initial dry density, soil particles compressed against each other, decreasing the actual water flow crossing area, which leads to a decrease in the permeability coefficient. With the increase of the XG-soil ratio, the fill-blocking effect of xanthan gum with hydrogel connections becomes more and more obvious, which leads to a reduction in the permeability coefficient. Xanthan gum hydration takes time, and a lot of crystals are produced in XGS as the curing age increases; these crystals fill larger pores, resulting in the permeability coefficient decrease. At last, a model was developed to predict the permeability coefficient of XG-improved silty soil by using the initial dry density, XG-soil ratio, and curing age. The model can be used to rapidly predict the permeability coefficient of the improved silty soil under different conditions. This research can provide a scientific basis for the safe and scientific application of xanthan gum in seepage damage control and prevention projects. [ABSTRACT FROM AUTHOR]

Chronic hepatitis B virus (HBV) poses a significant global health challenge as it can lead to acute or chronic liver disease and hepatocellular carcinoma (HCC). To establish a safety experimental model, a homolog of HBV—duck HBV (DHBV) is often used for HBV research. Hydrodynamic-based gene delivery (HGD) is an efficient method to introduce exogenous genes into the liver, making it suitable for basic research. In this study, a duck HGD system was first constructed by injecting the reporter plasmid pLIVE-SEAP via the ankle vein. The highest expression of SEAP occurred when ducks were injected with 5 µg/mL plasmid pLIVE-SEAP in 10% bodyweight volume of physiological saline for 6 s. To verify the distribution and expression of exogenous genes in multiple tissues, the relative level of foreign gene DNA and β-galactosidase staining of LacZ were evaluated, which showed the plasmids and their products were located mainly in the liver. Additionally, β-galactosidase staining and fluorescence imaging indicated the delivered exogenous genes could be expressed in a short time. Further, the application of the duck HGD model on DHBV treatment was investigated by transferring representative anti-HBV genes IFNα and IFNγ into DHBV-infected ducks. Delivery of plasmids expressing IFNα and IFNγ inhibited DHBV infection and we established a novel efficient HGD method in ducks, which could be useful for drug screening of new genes, mRNAs and proteins for anti-HBV treatment. [ABSTRACT FROM AUTHOR]

Macrophage-derived lipid-laden foam cells from the subendothelium play a crucial role in the initiation and progression of atherosclerosis. However, the molecule mechanism that regulates the formation of foam cells is not completely understood. Here, we found that SLAMF7 was upregulated in mice bone marrow–derived macrophages and RAW264.7 cells stimulated with oxidized low-density lipoprotein (ox-LDL). SLAMF7 promoted ox-LDL-mediated macrophage lipid accumulation and M1-type polarization. SLAMF7 deficiency reduced serum lipid levels and improved the lesions area of carotid plaque and aortic arch in high-fat diet-fed ApoE−/− mice. In response to ox-LDL, SLAMF7 downregulated NR4A1 and upregulated RUNX3 through transcriptome sequencing analysis. Overexpression NR4A1 reversed SLAMF7-induced lipid uptake and M1 polarization via inhibiting RUNX3 expression. Furthermore, RUNX3 enhanced foam cell formation and M1-type polarization. Taken together, the study suggested that SLAMF7 play contributing roles in the pro-atherogenic effects by regulating NR4A1-RUNX3. [ABSTRACT FROM AUTHOR]

Multiple myeloma (MM) is a heterogenous plasma cell malignancy, for which the established prognostic models exhibit limitations in capturing the full spectrum of outcome variability. Leveraging single-cell RNA-sequencing data, we developed a novel plasma cell gene signature. We evaluated and validated the associations of the resulting plasma cell malignancy (PBM) score with disease state, progression and clinical outcomes using data from five independent myeloma studies consisting of 2115 samples (1978 MM, 65 monoclonal gammopathy of undetermined significance, 35 smoldering MM, and 37 healthy controls). Overall, a higher PBM score was significantly associated with a more advanced stage within the spectrum of plasma cell dyscrasias (all p < 0.05) and a shorter overall survival in MM (hazard ratio, HR = 1.72; p < 0.001). Notably, the prognostic effect of the PBM score was independent of the International Staging System (ISS) and Revised ISS (R-ISS). The downstream analysis further linked higher PBM scores with the presence of cytogenetic abnormalities, TP53 mutations, and compositional changes in the myeloma tumor immune microenvironment. Our integrated analyses suggest the PBM score may provide an opportunity for refining risk stratification and guide decisions on therapeutic approaches to MM. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Central South University is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The nuclear factor κappa B (NF-κB) signaling plays a well-known function in inflammation and regulates a wide variety of biological processes. Low-grade chronic inflammation is gradually considered to be closely related to the pathogenesis of Polycystic ovary syndrome (PCOS). In this review, we provide an overview on the involvement of NF-κB in the progression of PCOS particularly, such as hyperandrogenemia, insulin resistance, cardiovascular diseases, and endometrial dysfunction. From a clinical perspective, progressive recognition of NF-κB pathway provides opportunities for therapeutic interventions aimed at inhibiting pathway-specific mechanisms. With the accumulation of basic experimental and clinical data, NF-κB signaling pathway was recognized as a therapeutic target. Although there have been no specific small molecule NF-κB inhibitors in PCOS, a plethora of natural and synthetic compound have emerged for the pharmacologic intervention of the pathway. The traditional herbs developed for NF-κB pathway have become increasingly popular in recent years. Abundant evidence elucidated that NF-κB inhibitors can significantly improve the symptoms of PCOS. Herein, we summarized evidence relating to how NF-κB pathway is involved in the development and progression of PCOS. Furthermore, we present an in-depth overview of NF-κB inhibitors for therapy interventions of PCOS. Taken together, the NF-κB signaling may be a futuristic treatment strategy for PCOS. NF-κB affects various aspects of polycystic ovary syndrome, such as hyperandrogenemia, insulin resistance, cardiovascular diseases, endometrial dysfunction, and hypothalamic endocrine gonadal axis disorder. [ABSTRACT FROM AUTHOR]

Background: Potassium bismuth citrate is a gastric mucosal protector and a key drug for treating peptic ulcers. Objective: To evaluate the pharmacokinetic characteristics and safety of 120-mg bismuth potassium citrate formulations administered orally under fasting conditions in healthy Chinese subjects. Method: A single-center open two-cycle trial was conducted on 12 healthy subjects who received a single oral dose of 120 mg of bismuth potassium citrate. The plasma concentration of bismuth was determined using a validated inductively coupled plasma mass spectrometry (ICP‒MS) method. The pharmacokinetic parameters, including maximum serum concentration (Cmax) and area under the curve concentration–time curve (AUC0–t and AUC0–∞), and safety were evaluated via noncompartment analysis. Results: The ratios of the least square geometric mean ratio between the test (T) and reference (R) formulations for Cmax, AUC0–t, and AUC0–∞ were 44.8%, 55.5%, and 64.4%, respectively; the bilateral 95% confidence intervals (Cis) for these parameters were 20.2–99.6%, 24.1–127.5%, and 23.7–175.0%, respectively, and the non-inferior limits for these parameters were 169.4%, 198.8%, and 200.5%, respectively. The upper limits of the one-sided 97.5% confidence interval for the least squares geometric mean ratio (T/R) were lower than the non-inferior limits. No serious adverse reactions or adverse reactions leading to detachment were observed among the subjects. Conclusion: The concentration of bismuth in the blood of healthy subjects in the T formulation was not greater than that in the R formulation. Similarly, the safety of oral administration of 120 mg of bismuth potassium citrate formulations to healthy subjects was good. The trial registration number (TRN) was [2018] 013, 6 December 2018. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This document discusses the prognostic value of ferritin in patients with multiple myeloma (MM) who have undergone autologous stem cell transplantation (ASCT). The authors collected data from 3446 MM patients who received ASCT therapy and had serum ferritin testing. They found that high serum ferritin levels were associated with a poorer prognosis in MM patients, regardless of gender, race, or age. Additionally, they observed that ferritin had a significant impact on the prognosis of patients in different MM staging systems, such as the International Staging System (ISS) and the Revised International Staging System (R-ISS). The authors conclude that ferritin is an independent risk factor for MM patients' overall survival and progression-free survival. [Extracted from the article]

In this paper, we propose a method for abnormal event detection in videos based on Multi-scale Pyramid Grid Templates (MPGT). Unlike traditional methods that usually finish anomaly detection based on a single scale feature, we propose to detect anomalies with a designed multi-scale normalized motion feature in the framework of MPGT. In our work, two scene models are proposed, including a global model and an online model, because the anomalies often occur in regions with moving objects. In addition, we propose a fast method for computing high-scale motion features using a convolution operation based on the first scale feature, and design a scheme for combining the detection results at different scales using vote and pyramid strategies. Experiments on public datasets show that our method has a balanced performance on all the testing datasets. [ABSTRACT FROM AUTHOR]

In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattered dead trees over large areas are needed to reduce uncertainty on the actual extent of tree mortality. Here, we mapped individual dead trees in California using sub-meter resolution aerial photographs from 2020 and deep learning-based dead tree detection. We identified 91.4 million dead trees over 27.8 million hectares of vegetated areas (16.7-24.7% underestimation bias when compared to field data). Among these, a total of 19.5 million dead trees appeared isolated, and 60% of all dead trees occurred in small groups (≤ 3 dead trees within a 30 × 30 m grid), which is largely undetected by other state-level monitoring methods. The widespread mortality of individual trees impacts the carbon budget and sequestration capacity of California forests and can be considered a threat to forest health and a fuel source for future wildfires. Tree mortality due to climate change and other disturbances is on the rise. Here, the authors use high-resolution remote sensing data, ground observations and deep learning to quantify individual dead trees and potential drivers across California in the year 2020, encompassing 91.4 million dead trees. [ABSTRACT FROM AUTHOR]

The China Seismo-Electromagnetic Satellite (CSES), with a sun-synchronous orbit at 507 km altitude, was launched on 2 February 2018 to investigate pre-earthquake ionospheric anomalies (PEIAs) and ionospheric space weather. The CSES probes manifest longitudinal features of four-peak plasma density and three plasma depletions in the equatorial/low-latitudes as well as mid-latitude troughs. CSES plasma and the total electron content (TEC) of the global ionosphere map (GIM) are used to study PEIAs associated with a destructive M7.0 earthquake and its followed M6.5 and M6.3/M6.9 earthquakes in Lombok, Indonesia, on 5, 17, and 19 August 2018, respectively, as well as to examine ionospheric disturbances induced by an intense storm with the Dst index of − 175 nT on 26 August 2018. Anomalous increases (decreases) in the GIM TEC and CSES plasma density (temperature) frequently appear specifically over the epicenter days 1–5 before the M7.0 earthquake and followed earthquakes, when the geomagnetic conditions of these PEIA periods are relatively quiet, Dst: − 37 to 19 nT. In contrast, TEC and CSES plasma parameter anomalies occur globally in the southern hemisphere during the storm days of 26–28 August 2018. The CSES ion velocity shows that the electric fields of PEIAs associated with the M7.0 earthquake are 0.21/0.06 mV/m eastward and 0.11/0.10 mV/m downward at post-midnight/post-noon on 1–3 August 2018, while the penetration electric fields during the storm periods of 26–28 August 2018 are 0.17/0.45 mV/m westward/downward at post-midnight of 02:00 LT and 0.26/0.26 mV/m eastward/upward at post-noon of 14:00 LT. Spatial analyses on CSES plasma discriminate PEIAs from global effects and locate the epicenter of possible forthcoming large earthquakes. CSES ion velocities are useful to derive PEIA- and storm-related electric fields in the ionosphere. Key points: Spatial analyses are essential to find pre-earthquake ionospheric anomalies (PEIAs). PEIA-related electric fields can be estimated by using the ion velocity in the ionosphere. China seismo-electromagnetic satellite is used to detect PEIAs and study ionospheric space weather. [ABSTRACT FROM AUTHOR]

Anti-multiple myeloma B cell maturation antigen (BCMA)-specific chimeric antigen receptor (CAR) T-cell therapies represent a promising treatment strategy with high response rates in myeloma. However, durable cures following anti-BCMA CAR-T cell treatment of myeloma are rare. One potential reason is that a small subset of minimal residual myeloma cells seeds relapse. Residual myeloma cells following BCMA-CAR-T-mediated treatment show less-differentiated features and express stem-like genes, including CD24. CD24-positive myeloma cells represent a large fraction of residual myeloma cells after BCMA-CAR-T therapy. In this work, we develop CD24-CAR-T cells and test their ability to eliminate myeloma cells. We find that CD24-CAR-T cells block the CD24-Siglec-10 pathway, thereby enhancing macrophage phagocytic clearance of myeloma cells. Additionally, CD24-CAR-T cells polarize macrophages to a M1-like phenotype. A dual-targeted BCMA-CD24-CAR-T exhibits improved efficacy compared to monospecific BCMA-CAR-T-cell therapy. This work presents an immunotherapeutic approach that targets myeloma cells and promotes tumor cell clearance by macrophages. BCMA-specific CAR T-cell therapies have shown high response rates in multiple myeloma (MM), however the majority of patients still relapse. Here the authors show that CD24-positive MM cells increase after BCMA-CAR-T treatment in patients, and that dual-targeted BCMA/CD24 CAR-T cells can improve anti-tumor efficacy in MM preclinical models. [ABSTRACT FROM AUTHOR]

In the networking of vehicles, the information exchange between network infrastructure and vehicles is very important. However, at the current development stage of the networking of vehicles, the coverage of a single network infrastructure is very limited, and each network base station has a variety of heterogeneous wireless networks with different performances. Vehicles must constantly switch between multiple network infrastructures, so the efficiency of information transmission becomes crucial, among which the key problems are mainly service delay and service cost in the transmission of broadcast data packets. In this paper, this key problem is summarized as the multi-objective problem. The MOEA/D-DE algorithm is proposed by adding differential evolution variation to the multi-objective evolutionary algorithm, which makes the population variation more diverse. On the basis of the convergence of the original multi-objective optimization algorithm, more diverse new individuals are generated, which makes the original convergence state broken and the population continues to evolve. A large number of simulation experiments are conducted, and the experimental results show that this method can obtain smaller average service delay and average access cost, and has good scalability, that is, it is effective for a variety of data transmission scenarios, and compared with the traditional packet sending algorithm and MOEA/D algorithm, more shows the superiority of this algorithm. [ABSTRACT FROM AUTHOR]

As an emerging contaminant, antibiotics have been widely detected in soil. In order to assess the environmental risk of antibiotics more scientifically, it is of great significance to study their bioavailability. In this study, oxytetracycline (OTC) and sulfamethoxazole (SMX) were selected as target pollutants, which were two typical antibiotics commonly detected in soil. A polar organic chemical integrative sampler (POCIS) was used as a detection device for antibiotic bioavailability in soil, and the feasibility of POCIS to predict the bioavailability of antibiotics in soil was assessed by comparing the bioavailability of antibiotics directly absorbed by earthworms. On this basis, the effects of different initial antibiotic concentration and soil moisture content on the bioavailability obtained by POCIS were explored. The results showed that the bioavailability of SMX and OTC measured by POCIS was 10% and 5%, respectively. This indicated that SMX in soil presented greater ecological risk at the same environmental conditions. The correlation analysis showed that the POCIS method had a good linear correlation with the biological method, and the POCIS method could be used to predict the bioavailability of OTC and SMX in soil. The effects of the initial concentration of antibiotics and soil moisture content showed that the initial concentration of antibiotics was negatively correlated with bioavailability, while soil moisture content was positively correlated with bioavailability. Overall, this study confirmed the capability of POCIS in predicting antibiotic bioavailability, providing a simple and powerful tool for environmental risk assessment of antibiotics in soil. [ABSTRACT FROM AUTHOR]

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In the quest to enhance the performance of conventional high-temperature alloys, the limitations of existing materials have become apparent. Refractory high entropy alloys (RHEAs) have emerged as promising candidates, exhibiting exceptional high-temperature properties and offering a novel perspective on advanced materials for extreme environments. This study systematically determined optimal process parameters via single-channel laser cladding (LC), resulting in the development of multi-channel TaNbZrTi RHEA coatings. The investigation encompassed an in-depth analysis of microstructure and oxidation behavior across a temperature range spanning from 800 to 1200 °C. The findings elucidated the complex composition of the coating, characterized by the interplay of BCC1, BCC2, and Fe2Nb phases. The theoretical yield strength of the coating was calculated at 1816.1 MPa, with contributions from solution strengthening, precipitation strengthening, fine crystal strengthening, and alloy foundation strength, standing at 41.1%, 41.5%, 5.5%, and 11.9%, respectively. At 800, 1000 and 1200 °C, the oxide thickness of the coating is 1.4, 2.9, and 34.5 μm, respectively. The transition of BCC2 phase at elevated temperatures and the diffusion of Fe from the substrate emerged as pivotal factors contributing to catastrophic oxidation observed at 1200 °C. Importantly, the diffusion of substrate elements facilitated the formation of Fe2Nb phase, which exhibited robust precipitation strengthening effects, further enhancing the coating overall strength. However, the protective role of Fe oxides proved inadequate, leading to the vulnerability of the oxidation layer and its propensity to fracture, thereby compromising the high-temperature oxidation resistance of the coating. [ABSTRACT FROM AUTHOR]

Many geoscientific problems require us to exploit synergies of experimental and numerical approaches, which in turn lead to questions regarding the significance of experimental details for validation of numerical codes. We report results of an interlaboratory comparison regarding experimental determination of mechanical and hydraulic properties of samples from five rock types, three sandstone varieties with porosities ranging from 5% to 20%, a marble, and a granite. The objective of this study was to build confidence in the participating laboratories' testing approaches and to establish tractable standards for several physical properties of rocks. We addressed the issue of sample-to-sample variability by investigating the variability of basic physical properties of samples of a particular rock type and by performing repeat tests. Compressive strength of the different rock types spans an order of magnitude and shows close agreement between the laboratories. However, differences among stress–strain relations indicate that the external measurement of axial displacement and the determination of system stiffness require special attention, apparently more so than the external load measurement. Furthermore, post-failure behavior seems to exhibit some machine-dependence. The different methods used for the determination of hydraulic permeability, covering six orders of magnitude for the sample suite, yield differences in absolute values and pressure dependence for some rocks but not for others. The origin of the differences in permeability, in no case exceeding an order of magnitude, correlate with the compressive strength and potentially reflect a convolution of end plug–sample interaction, sample-to-sample variability, heterogeneity on sample scale, and/or anisotropy, the last two aspects are notably not accounted for by the applied evaluation procedures. Our study provides an extensive data set apt for "benchmarking" considerations, be it regarding new laboratory equipment or numerical modeling approaches. [ABSTRACT FROM AUTHOR]

Neuro-inspired vision systems hold great promise to address the growing demands of mass data processing for edge computing, a distributed framework that brings computation and data storage closer to the sources of data. In addition to the capability of static image sensing and processing, the hardware implementation of a neuro-inspired vision system also requires the fulfilment of detecting and recognizing moving targets. Here, we demonstrated a neuro-inspired optical sensor based on two-dimensional NbS2/MoS2 hybrid films, which featured remarkable photo-induced conductance plasticity and low electrical energy consumption. A neuro-inspired optical sensor array with 10 × 10 NbS2/MoS2 phototransistors enabled highly integrated functions of sensing, memory, and contrast enhancement capabilities for static images, which benefits convolutional neural network (CNN) with a high image recognition accuracy. More importantly, in-sensor trajectory registration of moving light spots was experimentally implemented such that the post-processing could yield a high restoration accuracy. Our neuro-inspired optical sensor array could provide a fascinating platform for the implementation of high-performance artificial vision systems. Neuro-inspired vision systems hold great promise to address the growing demands of mass data processing for edge computing. Here the authors, develop a neuro-inspired optical sensor based on NbS2/MoS2 films that can operate with monolithically integrated functions of static image enhancement and dynamic trajectory registration. [ABSTRACT FROM AUTHOR]

Water–mineral interaction in expansive soils is discussed under environmental loads in water chemistry. Water and clay particles interact with each, and water molecules are strongly attracted to and adsorbed on clay particle surfaces of expansive soils. The normalized adsorbed water volume to the montmorillonite volume of expansive soils is deduced from the energy balance based on the surface fractal model for montmorillonite. A postulate of mass transfer of adsorbed water from solid-to-solution fraction caused by chemical load is then discussed. Theory on effective stress of expansive soils affected by chemical loads is developed to deal with the effects of chemical swell and shear strength. The generalized theories on the swelling deformation and shear strength of expansive soils are developed to deal with the effects of chemical loads. [ABSTRACT FROM AUTHOR]

Background: Histopathological transformation between different types of lung cancer cells has been reported following a variety of anti-tumor treatments. Examples include transformation from lung adenocarcinoma to squamous-cell carcinoma (SCC) and transformation from non-small cell lung cancer (NSCLC) to small cell lung cancer (SCLC). Case report: A patient with intermittent hemoptysis for 2 days underwent a computed tomography (CT) scan that revealed interstitial pneumonia in addition to two enlarged paratracheal lymph nodes: one on the right (4R) and one on the left (4L) measuring 10 and 7 mm in diameter, respectively (Fig. 1). There was no evidence of a lung or bronchial mass. Bronchoscopy identified an endoluminal primary mass in a superior segmental bronchus of the left lower lobe and pathological examination following surgery confirmed it to be SCC. At 15 months post operation, a CT scan detected that the 4R lymph node had increased in size from 10 to 16 mm in diameter. At the next follow-up 7 months later, a CT scan showed that the R4 lymph node had further increased in size from 16 to 40 mm in the short axis, making it difficult for a surgeon to resect it "en bloc" immediately. The maximum standardized uptake value was 7.5 on PET-CT images. One month following completion of one cycle of neoadjuvant chemotherapy with gemcitabine and nedaplatin, a further CT scan indicated that the lymph node had decreased in size from 40 to 30 mm in the short axis. A complete mediastinal lymphadenectomy via open thoracotomy was performed and the lymph node was resected. Histological examination identified a main large cell neuroendocrine carcinoma (LCNEC) component with a small fraction of small cell carcinoma, confirmed by immunohistochemical analysis and genetic evidence. Conclusion: Histopathological transformation from SCC to LCNEC with a small fraction of SCLC may have occurred spontaneously without any treatment. [ABSTRACT FROM AUTHOR]

Hafnium oxide-based ferroelectric field-effect-transistors (FeFET), which combine super-steep logical switching and low power non-volatile memory functions, have significant potential for post-Moore integrated circuit innovations with higher energy efficiency and larger integration scale. In this review, recent research into hafnium oxide-based ferroelectric (FE) films and different functional devices is presented, from fundamentals to applications. Different technological challenges and state-of-the-art research and development efforts related to the physical understanding and performance optimization of FE films, advanced hafnium oxide-based device integration, and device applications in logic-in-memory and artificial synapses and neurons for neuromorphic computing are addressed. [ABSTRACT FROM AUTHOR]

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Objective: To investigate the effects of cytokines IL-2 and GM-CSF on CXCR3 expression and chemotaxis of CAR-T cells. Background: High lymphocyte infiltration within the tumor is a basic requirement for good results in tumor immunotherapy; C-X-C motif chemokine receptor 3 (CXCR3) is an important factor for the chemotaxis of lymphocytes to tumor tissues. The tumor microenvironment can exhibit diverse cytokine suppression or promote antitumor immunity. Both interleukin (IL)-2 and granulocyte macrophage colony-stimulating factor (GM-CSF) contribute to the regulation of immunosuppression in the tumor microenvironment. However, the effects of IL-2 and GM-CSF on CXCR3 expression on the T cell surface and its mechanisms are not well understood. Here, we explored the effects of polycytokines on CXCR3 expression in chimeric antigen receptor T cells (CAR-T cells) and on HuH-7 in situ hepatocellular carcinoma. Materials and methods: Peripheral blood mononuclear cells (PBMCs) were isolated, followed by purifying using CD3 immunomagnetic beads. Cells were divided into three groups. After 24h of activation using CD3/CD28 antibody, T cells were transfected using lentiviral vector, pGC-SV40-EGFP-GPC3-CAR. Three culture methods were used to amplify the transfected T cells. Method 'A' was to incubate T cells with CD3/CD28 antibody; method 'B' was with CD3/CD28 antibody and IL-2 at a final concentration of 1000 U/ml; method 'C' was with method B in addition of GM-CSF at a final concentration of 1000 U/ml. The phosphorylation of MAPK and PI3K/AKT was determined by western blot. The chemotaxis effect of CAR-T cells on Huh-7 HCCIA in situ was assayed by immunofluorescence and immunohistochemistry. Results: The CD3/CD28/IL-2/GM-CSF combination is the most potent for stimulating activated CAR-T cell proliferation and CXCR3 expression in vitro; CD3/CD28/IL-2 induces CAR-T cell expression of CXCR3 through the activation of the PI3K/APK pathway and GM-CSF induces CXCR3 expression in CAR-T cells through the activation of ERK1/2 rather than the p38 MAPK signaling pathway. CAR-GPC3-T cells with high CXCR3 expression showed increased chemotaxis ability to HuH in situ hepatocellular carcinoma, and considerably inhibited the growth of in situ tumors in nude mouse livers. Conclusion: A multi-factorial amplification protocol can effectively improve CXCR3 expression on the surface of activated CAR-T cells in vitro, as well as enhance the chemotaxis ability of CAR-T cells in vivo, which significantly inhibit the growth of liver cancer. [ABSTRACT FROM AUTHOR]

Recently, antibiotics have been frequently detected in the hyporheic zone (HZ) as a novel contaminant. Bioavailability assessment has gradually attracted more attention in order to provide a more realistic assessment of human health risks. In this study, two typical antibiotics, oxytetracycline (OTC) and sulfamethoxazole (SMZ), were used as target pollutants in the HZ of the Zaohe–Weihe River, and the polar organics integrated sampler was used to analyze the variation of antibiotics bioavailability. According to the characteristics of the HZ, the total concentration of pollutants, pH, and dissolved oxygen (DO) were selected as major predictive factors to analyze their correlation with the antibiotics bioavailability. Then the predictive antibiotic bioavailability models were constructed by stepwise multiple linear regression method. The results showed that there was a highly significant negative correlation between OTC bioavailability and DO (P < 0.001), while SMZ bioavailability showed a highly significant negative correlation with total concentration of pollutants (P < 0.001) and a significant negative correlation with DO (P < 0.01). The results of correlation analysis were further verified by Principal Component Analysis. Based on the experimental data, we constructed eight prediction models for the bioavailability of two antibiotics and verified them. The data points of the six prediction models were distributed in the 95% prediction band, indicating that the models were more reliable and accurate. The prediction models in this study provide reference for the accurate ecological risk assessment of the bioavailability of pollutants in the HZ, and also provide a new idea for predicting the bioavailability of pollutants in practical applications. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Central South University is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Parents and carers often have limited knowledge and confidence in providing comprehensive sexuality education (CSE) and support to children and young people with intellectual disability (ID) and/or autism spectrum disorder (ASD). To address this need, six workshops were delivered and evaluated in New South Wales (NSW), Australia in 2018. Pre/post-workshop surveys were completed (n = 145) along with three-month follow-up surveys and interviews (n = 34) to evaluate the perceived effectiveness of the workshops in improving parents' and carers' knowledge and confidence in providing CSE and support to their child or young person. The evaluation also sought to understand additional barriers for parents and carers in providing CSE and support to people with ID and/or ASD. Significant improvements in self-reported knowledge and confidence were identified following the completion of the workshop, which were retained at the three-month follow-up. Barriers to the provision of CSE and support included feelings of isolation and stigma, a preference for reactive approaches to CSE, and a lack of accessible information and resources. Findings suggest that while the provision of workshops to parents and carers can increase their knowledge and confidence in providing CSE and support, significant barriers persist. This evaluation provides insight into how the parent and carer approach to CSE and support for children and young people with ID and/or ASD can be improved. [ABSTRACT FROM AUTHOR]

Inappropriate management of information security of e-commerce websites exerts a negative effect on consumers' purchase decisions because it may cause consumer data leakage. To mitigate this negative effect, some e-commerce firms such as Taobao in China voluntarily offer privacy breach insurance to consumers. Even though this fresh management of information security is becoming popular in practice, there are still rare academic studies concerning this hot topic. To fill this gap, this paper constructs a multi-stage game-theoretic model to examine the impacts of privacy breach insurance on a monopoly firm and to identify the market condition under which the firm would like to employ privacy breach insurance. We find that when consumers' data leakage concern is low and firm's data leakage possibility is low, privacy breach insurance always encourages more consumers to purchase. Otherwise, privacy breach insurance stimulates purchase only when the compensation of privacy breach insurance remains high. Furthermore, we reveal that the monopoly firm would provide privacy breach insurance when consumers' data leakage concern remains low. These fresh results suggest that privacy breach insurance acts as an efficient measure e-commerce firms could take to address increasingly serious information security threats. [ABSTRACT FROM AUTHOR]

Background: Detecting prodromal symptoms of bipolar disorder (BD) has garnered significant attention in recent research, as early intervention could potentially improve therapeutic efficacy and improve patient outcomes. The heterogeneous nature of the prodromal phase in BD, however, poses considerable challenges for investigators. Our study aimed to identify distinct prodromal phenotypes or "fingerprints" in patients diagnosed with BD and subsequently examine correlations between these fingerprints and relevant clinical outcomes. Methods: 20,000 veterans diagnosed with BD were randomly selected for this study. K-means clustering analysis was performed on temporal graphs of the clinical features of each patient. We applied what we call "temporal blurring" to each patient image in order to allow clustering to focus on the clinical features, and not cluster patients based upon their varying temporal patterns in diagnosis, which lead to the desired types of clusters. We evaluated several outcomes including mortality rate, hospitalization rate, mean number of hospitalizations, mean length of stay, and the occurrence of a psychosis diagnosis within one year following the initial BD diagnosis. To determine the statistical significance of the observed differences for each outcome, we conducted appropriate tests, such as ANOVA or Chi-square. Results: Our analysis yielded 8 clusters which appear to represent distinct phenotypes with differing clinical attributes. Each of these clusters also has statistically significant differences across all outcomes (p < 0.0001). The clinical features in many of the clusters were consistent with findings in the literature concerning prodromal symptoms in patients with BD. One cluster, notably characterized by patients lacking discernible prodromal symptoms, exhibited the most favorable results across all measured outcomes. Conclusion: Our study successfully identified distinct prodromal phenotypes in patients diagnosed with BD. We also found that these distinct prodromal phenotypes are associated with different clinical outcomes. [ABSTRACT FROM AUTHOR]

Two-dimensional (2D) layered semiconductors with nonlinear optical (NLO) properties hold great promise to address the growing demand of multifunction integration in electronic-photonic integrated circuits (EPICs). However, electronic-photonic co-design with 2D NLO semiconductors for on-chip telecommunication is limited by their essential shortcomings in terms of unsatisfactory optoelectronic properties, odd-even layer-dependent NLO activity and low NLO susceptibility in telecom band. Here we report the synthesis of 2D SnP2Se6, a van der Waals NLO semiconductor exhibiting strong odd-even layer-independent second harmonic generation (SHG) activity at 1550 nm and pronounced photosensitivity under visible light. The combination of 2D SnP2Se6 with a SiN photonic platform enables the chip-level multifunction integration for EPICs. The hybrid device not only features efficient on-chip SHG process for optical modulation, but also allows the telecom-band photodetection relying on the upconversion of wavelength from 1560 to 780 nm. Our finding offers alternative opportunities for the collaborative design of EPICs. 2D semiconductors with nonlinear optical properties hold promise for multifunction integration in electronic-photonic integrated circuits. Here, the authors report the synthesis of 2D SnP2Se6 and its integration with a SiN photonic platform, showing strong odd-even layer-independent second harmonic generation activity at 1550 nm and broadband photoresponse. [ABSTRACT FROM AUTHOR]

It is a strategy with many benefits to adsorb transition metal ions in sewage and then prepare composite electrode materials. This method prepared a three-dimensional bulk-phase core-shell composite activated carbon@Ni(OH)2. Activated carbon (AC) adsorbed nickel ions and precipitant in simulation nickel sewage and then was hydrothermally treated. Nickel hydroxide grew from the hole and surface of AC to form a core-shell structure composite material. The adsorption amount of the AC depends on the mixed solution concentration of nickel ions and urea and the soaking time AC immersed in the solution. Compared with AC, when the solution concentration is 3 mol L−1 and the soaking time is 48h, the specific capacitance of the synthesized sample is 12.8 times higher, and its capacitance retention after 5000 charge/discharge cycles is 12.3 times higher. This method synthesizes electrode materials, is simple and suitable for macro preparation, and can purify polluted water. [ABSTRACT FROM AUTHOR]