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Anxiety is an important issue that affects their academic performance, mental health, and overall educational journey. To address this issue, it is important to accurately assess anxiety levels and provide evidence-based techniques. However, due to the complexity of anxiety and individual differences, analyzing clustering algorithms to efficiently classify psychological levels is challenging. Traditional clustering techniques face certain challenges in accurately classifying anxiety levels, such as slow convergence, sensitivity to initial conditions, and difficulties in handling constraints. To address these issues, clustering with an improved Mayfly-based optimization algorithm (IMOA) is proposed based on the dynamic variable for better performance to classify psychological levels. Initially, IMOA is validated using 23 standard benchmark functions, confirming its ability to find optimal solutions. Then, IMOA is applied to the student dataset, classifying them into Cluster A and Cluster B. The average scores for both clusters across all test cases are 76.7% and 53.07%, respectively. These results demonstrate the formation of dissimilar student groups with homogeneous emotions and performance, highlighting the importance of addressing emotional stress. Finally, by assigning students to clusters, educators and mental health professionals can better support those who may struggle, ensuring they receive the attention and resources they need. The obtained results show that IMOA with a dynamic variable effectively classifies student anxiety, improving the learning environment and helping teachers better understand students' needs. This identification allows them to provide more effective support and adapt their teaching to meet the specific needs of those seeking support. [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.)

A variety of reasons have made it more difficult for educators and tutors to anticipate students' performance. Numerous researchers have used various predictive models to identify students who may be at-risk of dropping out early. Additionally, these methods were used to forecast final semester grades based on various datasets. However, these prediction models still fall short of meeting educational management requirements. In this paper, we propose the deep learning (DL) based model named students academic performance prediction network (SAPPNet) to predict the students' grades. We consider the questionnaire-based Jordan University dataset which contains demographic information, usage of digital tools before and after COVID-19, sleep times before and after COVID-19, social interaction, psychological state, and academic performance. SAPPNet consists of spatial convolution modules which are designed to extract spatial dependencies includes categorical and numerical attributes that represent static features (gender, level/year, age, digital tools used before and after COVID-19, psychological condition using prolonged e-learning tools) and temporal module for temporal dependencies involves sequences that capture changes before and after COVID-19. Additionally, we also try to implement classical machine learning (ML) models including support vector machine, k nearest neighbor, decision tree, and random forest, and DL models named artificial neural network, convolutional neural network, long short-term memory, and students learning prediction network. Simulation results show that SAPPNet achieved the best performance compared to state-of-the-art methods, with an accuracy, precision, recall, and an F1-score of 93 % . The proposed model with spatial and temporal modules improves the prediction performance, and it implies new aspect of the educational dataset. [ABSTRACT FROM AUTHOR]

The wearable exoskeleton system is a typical strongly coupled human–robotic system. Human–robotic is the environment for each other. The two support each other and compete with each other. Achieving high human–robotic compatibility is the most critical technology for wearable systems. Full structural compatibility can improve the intrinsic safety of the exoskeleton, and precise intention understanding and motion control can improve the comfort of the exoskeleton. This paper first designs a physiologically functional bionic lower limb exoskeleton based on the study of bone and joint functional anatomy and analyzes the drive mapping model of the dual closed-loop four-link knee joint. Secondly, an exoskeleton dual closed-loop controller composed of a position inner loop and a force outer loop is designed. The inner loop of the controller adopts the PID control algorithm, and the outer loop adopts the adaptive admittance control algorithm based on human–robot interaction force (HRI). The controller can adaptively adjust the admittance parameters according to the HRI to respond to dynamic changes in the mechanical and physical parameters of the human–robot system, thereby improving control compliance and the wearing comfort of the exoskeleton system. Finally, we built a joint simulation experiment platform based on SolidWorks/Simulink to conduct virtual prototype simulation experiments and recruited volunteers to wear rehabilitation exoskeletons to conduct related control experiments. Experimental results show that the designed physiologically functional bionic exoskeleton and adaptive admittance controller can significantly improve the accuracy of human–robotic joint motion tracking, effectively reducing human–machine interaction forces and improving the comfort and safety of the wearer. This paper proposes a dual-closed loop four-link knee joint exoskeleton and a variable admittance control method based on HRI, which provides a new method for the design and control of exoskeletons with high compatibility. [ABSTRACT FROM AUTHOR]

Activated fibroblasts are major mediators of pulmonary fibrosis. Fibroblasts are generally found in the connective tissue but upon activation can generate excess extracellular matrix (ECM) in the lung interstitial section. Therefore, fibroblasts are one of the most targeted cells for treating idiopathic pulmonary fibrosis (IPF). Here, we develop an anti-fibrotic platform that can modulate both the lysophosphatidic acid receptor 1 (LPA1) and the inflammatory pathway through tumor necrosis factor α-induced protein 3 (TNFAIP3, also known as A20) in fibroblasts. First, we synthesized a series of LPA1 antagonists, AM095 and AM966, derived amino lipids (LA lipids) which were formulated into LA-lipid nanoparticles (LA-LNPs) encapsulating mRNA. Specifically, LA5-LNPs, with AM966 head group and biodegradable acetal lipid tails, showed efficient A20 mRNA delivery to lung fibroblasts in vitro (80.2% ± 1.5%) and ex vivo (17.2% ± 0.4%). When treated to primary mouse lung fibroblasts (MLF), this formulation inhibited fibroblast migration and collagen production, thereby slowing the progression of IPF. Overall, LA5-LNPs encapsulated with A20 mRNA is a novel platform offering a potential approach to regulate fibroblast activation for the treatment of IPF. [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.)

In modern society, with the rapid increase in energy consumption, there is a growing interest in the effective utilization of bio-resources. Biomass aerogels have considerable academic research value due to their eco-friendly attributes and renewable nature. In this work, sodium alginate (SA) and sodium lignosulfonate (SLS) are employed as the matrix, which are dually cross-linked with Ca2+ and bis[tetrakis(hydroxymethyl)phosphonium] sulfate (THPS). Subsequently, a well-formed aerogel (CA-SP) is obtained through the lyophilization process. The formed dual crosslinking network and the "egg-box" structure endow the CA-SP aerogel with superior flame retardancy and thermal insulation properties, as evidenced by a limiting oxygen index value of 40.8%, achievement of the UL94 V-0 rating and low total heat release (1.35 MJ·m−2). Moreover, the THPS simultaneously endows the SA-SP aerogel with excellent flame retardancy and antimicrobial effect. The exceptional flame retardancy, smoke suppression capabilities, and antimicrobial effects of the CA-SP aerogel expand its prospects for application. [ABSTRACT FROM AUTHOR]

The rapid variation of influenza challenges vaccines and treatments, which makes an urgent task to develop the high-efficiency and low-toxicity new anti-influenza virus drugs. Selenium is one of the essential trace elements for the human body that possesses a good antiviral activity. In this study, we assessed anti-influenza A virus (H1N1) activity of polyethylene glycol (PEG)-modified gray selenium nanoparticles (PEG-SeNPs) on Madin-Darby Canine Kidney (MDCK) cells in vitro. CCK-8 assay showed that PEG-SeNPs had a protective effect on H1N1-infected MDCK cells. Moreover, PEG-SeNPs significantly reduced the mRNA level of H1N1. TUNEL-DAPI test showed that DNA damage reached a high level but effectively prevented after PEG-SeNPs treatment. Meanwhile, JC-1, Annexin V-FITC and cell cycle assay demonstrated the apoptosis induced by H1N1 was reduced greatly when treated with PEG-SeNPs. Furthermore, the downregulation of p-ATM, p-ATR and P53 protein, along with the upregualation of AKT protein indicated that PEG-SeNPs could inhibit H1N1-induced cell apoptosis through reactive oxygen species (ROS)-mediated related signaling pathways. Finally, Cytokine detection demonstrated PEG-SeNPs inhibited the production of pro-inflammatory factors after infection, including IL-1β, IL-5, IL-6, and TNF-α. To sum up, PEG-SeNPs might become a new potential anti-H1N1 influenza virus drug due to its antiviral and anti-inflammatory activity. [ABSTRACT FROM AUTHOR]

Psoriasis, a chronic and easily recurring inflammatory skin disease, causes a great economic burden to the patient’s family because the etiology and mechanism are still unclear and the treatment cycle is long. In this study, the function and related mechanisms of Momordin Ic in psoriasis were investigated. The IMQ-induced mouse psoriasis model was constructed. The protective effects of different doses of Momordin Ic on psoriasis skin damage in mice were detected by PASI score, HE staining and Ki-67 staining. A psoriasis-like keratinocyte model was established at the cellular level using M5 (IL-17A, IL-22, oncostatin M, IL-1α, and TNF-α) triggered HaCaT. The effects of Momordin Ic upon HaCaT cell biological behavior were examined using MTT and CCK-8 assays. In terms of mechanism, the expression level of each inflammatory factor was assessed using IHC staining and/or ELISA, qRT-PCR, the expression of oxidative stress-related indicators was detected biochemically, and western blot was performed to detect the levels of key proteins of the Wnt signaling and VEGF. As the results shown, at the in vivo level, Momordin Ic significantly alleviated skin damage, reduced PASI score and inhibited hyperproliferation of keratinized cells in psoriasis mice. At the cellular level, Momordin Ic also significantly reversed M5-induced hyperproliferation of HaCaT keratinocytes. In terms of mechanism, Momordin Ic significantly inhibited the IL-23/IL-17 axis, dramatically elevated the levels of intracellular antioxidants including SOD, GSH-Px, and CAT, and significantly down-regulated the levels of the indicator of oxidative damage, malondialdehyde (MDA). In addition, Momordin Ic also significantly inhibited the level of β-catenin, a pivotal protein of the Wnt signaling, C-Myc, a target gene of the Wnt signaling, and VEGF, a critical protein of angiogenesis. In conclusion, Momordin Ic can be involved in the skin-protective effects of psoriasis by multiple mechanisms, including inhibition of the Wnt signaling pathway and the IL-23/IL-17 axis, and suppression of oxidative damageand VEGF expression. Momordin Ic has been proven to be an underlying therapeutic drug for the treatment of psoriasis. [ABSTRACT FROM AUTHOR]

Purpose: Thrombocytopenia is among the most common chemotherapy-related hematologic toxicities. We aim to determine the predictors of oxaliplatin chemotherapy-induced thrombocytopenia in patients with gastrointestinal tumors to guide the clinic. Methods: Clinical data of 750 patients with a malignant gastrointestinal tumor were included as the primary cohort. Basic clinical data, serological indices, and anthropometric indices of these patients were collected. According to the presence or absence of CIT, univariate analysis was performed to identify significant factors for multivariate analysis. In R language software, nomogram was constructed based on the results of multi-factor analysis, and the calibration curve and ROC curve were drawn. Results: Univariate analysis identified 17 factors as closely related to CIT occurrence, namely age, lymph node metastasis (N) stage, metastasis (M) stage, lung metastasis, other site metastasis, chemotherapy regimen, course of treatment, total dose of oxaliplatin, AST, albumin, neutrophils, monocytes, baseline platelets, transferrin, natural killer (NK) cell, phase angle, and SMI (P < 0.10). The binary logistic multivariate regression analysis revealed five independent risk factors for developing CIT (P < 0.05), including the M stage, total dose of oxaliplatin, albumin, baseline thrombocyte count, and NK cell. Based on the results of multivariate logistic regression analysis, R software was used to establish a nomogram model. The calibration curve shows that the combined predictor has good consistency. The area under the ROC curve was 0.877 and the best cut-off value was 0.3579613 (sensitivity, 78.9%; specificity, 81.8%), which showed the better prediction efficiency. Conclusion: The total dose of oxaliplatin, M stage, albumin, baseline platelet count, and NK cell was independent risk factors for CIT. The sequentially constructed histogram model had a good predictive effect on the risk of thrombocytopenia caused by oxaliplatin chemotherapy in patients with gastrointestinal malignancies. [ABSTRACT FROM AUTHOR]

Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Heterogeneous graph neural networks (HGNNs). However, existing HGNNs tend to aggregate information from either direct neighbors or those connected by short metapaths, thereby neglecting the higher-order information and global feature similarity information in heterogeneous graphs. In this paper, we propose a Multi-View Heterogeneous graph neural network (MV-HGNN) to aggregate these information. Firstly, two auxiliary views, specifically a global feature similarity view and a graph diffusion view, are generated from the original heterogeneous graph. Secondly, MV-HGNN performs two message-passing strategies to get the representation of different views. Subsequently, a transformer-based aggregator is used to get the semantic information. Subsequently, the representations of the three views are fused into a final composite representation. We evaluate our method on the node classification task over three commonly used heterogeneous graph datasets, and the results demonstrate that our proposed MV-HGNN significantly outperforms state-of-the-art baselines. [ABSTRACT FROM AUTHOR]

Highlights: Oxygen-vacancy-rich SiC@MoO3 nanocomposite with strong reflection loss (− 50.49 dB at 1.27 mm thickness) and broadband absorption band (8.72 GHz at 2.68 mm thickness) were constructed via in situ etching strategy. The presence of oxygen vacancy leads to an increased conductive loss and defect-induced dipole polarization, which plays significant role in attenuating the incident electromagnetic wave. Defect engineering in transition metal oxides semiconductors (TMOs) is attracting considerable interest due to its potential to enhance conductivity by intentionally introducing defects that modulate the electronic structures of the materials. However, achieving a comprehensive understanding of the relationship between micro-structures and electromagnetic wave absorption capabilities remains elusive, posing a substantial challenge to the advancement of TMOs absorbers. The current research describes a process for the deposition of a MoO3 layer onto SiC nanowires, achieved via electro-deposition followed by high-temperature calcination. Subsequently, intentional creation of oxygen vacancies within the MoO3 layer was carried out, facilitating the precise adjustment of electromagnetic properties to enhance the microwave absorption performance of the material. Remarkably, the SiC@MO-t4 sample exhibited an excellent minimum reflection loss of − 50.49 dB at a matching thickness of 1.27 mm. Furthermore, the SiC@MO-t6 sample exhibited an effective absorption bandwidth of 8.72 GHz with a thickness of 2.81 mm, comprehensively covering the entire Ku band. These results not only highlight the pivotal role of defect engineering in the nuanced adjustment of electromagnetic properties but also provide valuable insight for the application of defect engineering methods in broadening the spectrum of electromagnetic wave absor ption effectiveness. SiC@MO-t samples with varying concentrations of oxygen vacancies were prepared through in-situ etching of the SiC@MoO3 nanocomposite. The presence of oxygen vacancies plays a crucial role in adjusting the band gap and local electron distribution, which in turn enhances conductivity loss and induced polarization loss capacity. This finding reveals a novel strategy for improving the absorption properties of electromagnetic waves through defect engineering. [ABSTRACT FROM AUTHOR]

Ceramic aerogels are promising materials for thermal insulation and protection under harsh environments. Yet current synthesis methods fail to provide an energy-, time-, and cost-effective route for high-throughput production and large-scale applications, especially for non-oxide ceramic aerogels. Here we reported a way to synthesize SiC aerogels within seconds and over liter scale, with a demonstrated throughput of ~16 L min−1 in a typical lab experiment. The key lies in renovated combustion synthesis and a fast expansion from powder reactants to aerogel products over 1000% in volume. The synthesis process is self-sustainable and requires minimal energy input. The product is very cheap, with an estimated price of ~$0.7 L−1 (~$7 kg−1). The obtained SiC aerogels have excellent thermo-mechanical properties, including low thermal conductivity, high elasticity, and damage tolerance. Our invention not only offers a practical pathway for large-scale applications of ceramic aerogels, but also calls for rethinking of combustion synthesis in one-step conversion from raw chemicals to bulk products ready for practical applications. Damage-tolerant ceramic aerogels are valuable, yet their synthesis is time-consuming and expensive. Here we report a facile, low-cost combustion synthesis of SiC aerogels, at Liter scale. Further technological development may enable game-changer aerogels for extreme-environment applications. [ABSTRACT FROM AUTHOR]

Innate immune response is the first line of defense for the host against virus invasion. One important response is the synthesis and secretion of type I interferon (IFN-I) in the virus-infected host cells. Here, we found that respiratory syncytial virus (RSV) infection induced high expression of TRIM25, which belongs to the tripartite motif-containing (TRIM) family of proteins. TRIM25 bound and activated retinoic acid-inducible gene I (RIG-I) by K63-linked ubiquitination. Accordingly, RIG-I mediated the production of IFN-I mainly through the nuclear factor kappa-B (NF-κB) pathway in respiratory epithelial cells. Interestingly, IFN-I, in turn, promoted a high expression of TRIM38 which downregulated the expression of IFN-I by reducing the protein level of RIG-I by K48-linked ubiquitination. More importantly, the binding site of TRIM25 to RIG-I was found in the narrow 25th-43rd amino acid (aa) region of RIG-I N-terminus. In contrast, the binding sites of TRIM38 to RIG-I were found in a much wider amino acid region, which included the binding site of TRIM25 on RIG-I. As a result, TRIM38 inhibits the production of IFN-I by competing with TRIM25 for RIG-I binding. Thus, TRIM38 negatively regulates RIG-I activation to, in turn, downregulate IFN-I expression, thus interfering with host immune response. A negative feedback loop effectively "puts the brakes" on the reaction once host immune response is overactivated and homeostasis is unbalanced. We also discovered that TRIM25 bound RIG-I by a new K63-linked ubiquitination located at K-45 of the first caspase recruitment domain (CARD). Collectively, these results confirm an antagonism between TRIM38 and TRIM25 in regulating IFN-I production by affecting RIG-I activity following RNA virus infection. [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.)

Inner dynein arms (IDAs) are formed from a protein complex that is essential for appropriate flagellar bending and beating. IDA defects have previously been linked to the incidence of asthenozoospermia (AZS) and male infertility. The testes-enriched ZMYND12 protein is homologous with an IDA component identified in Chlamydomonas. ZMYND12 deficiency has previously been tied to infertility in males, yet the underlying mechanism remains uncertain. Here, a CRISPR/Cas9 approach was employed to generate Zmynd12 knockout (Zmynd12−/−) mice. These Zmynd12−/− mice exhibited significant male subfertility, reduced sperm motile velocity, and impaired capacitation. Through a combination of co-immunoprecipitation and mass spectrometry, ZMYND12 was found to interact with TTC29 and PRKACA. Decreases in the levels of PRKACA were evident in the sperm of these Zmynd12−/− mice, suggesting that this change may account for the observed drop in male fertility. Moreover, in a cohort of patients with AZS, one patient carrying a ZMYND12 variant was identified, expanding the known AZS-related variant spectrum. Together, these findings demonstrate that ZMYND12 is essential for flagellar beating, capacitation, and male fertility. [ABSTRACT FROM AUTHOR]

Bio-based materials as flame retardants meet the requirements of green strategy and sustainable development. Here nitrogen and phosphorus-modified bio-based cellulose nanocrystal composite (NPCNCs) were designed and added to epoxy resin (EP) to determine fire safety and mechanical properties. NPCNCs were successfully synthesized using ice bath polymerization and exhibited a fibrous appearance with rough surface. When corresponding into EP, NPCNCs endowed EP composite with excellent flame retardancy. For EP/6NPCNCs, the LOI value was 27.6% which was higher than that of pure EP (23.5%). Compared with pure EP, the total heat release, peak heat release rate, total smoke production and peak smoke production rate values of EP/6NPCNCs decreased by 27.27%, 43.34%, 70.21% and 66.67%. This was attributed to catalysis-dehydration and carbonization, carbon support of cellulose nanocrystals and gas phase dilution. In addition, the flame retardant EP composite mechanical properties were basically maintained compared with the pure EP. This article will provide a new way for the design bio-based P and N-modified flame retardants. [ABSTRACT FROM AUTHOR]

Ferroptosis is an iron-dependent cell death form characterized by reactive oxygen species (ROS) overgeneration and lipid peroxidation. Myricetin, a flavonoid that exists in numerous plants, exhibits potent antioxidant capacity. Given that iron accumulation and ROS-provoked dopaminergic neuron death are the two main pathological hallmarks of Parkinson's disease (PD), we aimed to investigate whether myricetin decreases neuronal death through suppressing ferroptosis. The PD models were established by intraperitoneally injecting 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) into rats and by treating SH-SY5Y cells with 1-methyl-4-phenylpyridinium (MPP+), respectively. Ferroptosis was identified by assessing the levels of Fe2+, ROS, malondialdehyde (MDA), and glutathione (GSH). The results demonstrated that myricetin treatment effectively mitigated MPTP-triggered motor impairment, dopamine neuronal death, and α-synuclein (α-Syn) accumulation in PD models. Myricetin also alleviated MPTP-induced ferroptosis, as evidenced by decreased levels of Fe2+, ROS, and MDA and increased levels of GSH in the substantia nigra (SN) and serum in PD models. All these changes were reversed by erastin, a ferroptosis activator. In vitro, myricetin treatment restored SH-SY5Y cell viability and alleviated MPP+-induced SH-SY5Y cell ferroptosis. Mechanistically, myricetin accelerated nuclear translocation of nuclear factor E2-related factor 2 (Nrf2) and subsequent glutathione peroxidase 4 (Gpx4) expression in MPP+-treated SH-SY5Y cells, two critical inhibitors of ferroptosis. Collectively, these data demonstrate that myricetin may be a potential agent for decreasing dopaminergic neuron death by inhibiting ferroptosis in PD. [ABSTRACT FROM AUTHOR]

To explore the techniques, safety, and feasibility of minimally invasive neurosurgery through the supraorbital eyebrow arch keyhole approach by neuroendoscopy. Retrospective analysis of clinical data of patients with various cranial diseases treated by transcranial neuroendoscopic supraorbital eyebrow keyhole approach in our hospital from March 2021 to October 2023. A total of 39 complete cases were collected, including 21 cases of intracranial aneurysms, 9 cases of intracranial space occupying lesions, 5 cases of brain trauma, 3 cases of cerebrospinal fluid rhinorrhea, and 1 case of cerebral hemorrhage. All patients' surgeries were successful. The good prognosis rate of intracranial aneurysms was 17/21 (81%), and the symptom improvement rate of intracranial space occupying lesions was 8/9 (88.9%). Among them, the initial symptoms of one patient with no improvement were not related to space occupying, while the total effective rate of the other three types of patients was 9/9 (100%). The average length of the craniotomy bone window of the supraorbital eyebrow arch keyhole is 3.77 ± 0.31 cm, and the average width is 2.53 ± 0.23 cm. The average postoperative hospital stay was 14.77 ± 6.59 days. The average clearance rate of hematoma by neuroendoscopy is 95.00% ± 1.51%. Our results indicate that endoscopic surgery through the supraorbital eyebrow arch keyhole approach is safe and effective for the treatment of anterior skull base lesions and cerebral hemorrhage. However, this retrospective study is a single center, small sample study, and the good surgical results do not exclude the subjective screening of suitable patients by clinical surgeons, which may have some bias. Although the clinical characteristics such as indications and contraindications of this surgical method still require further prospective and multicenter clinical research validation, our study still provides a new approach and choice for minimally invasive surgical treatment of anterior skull base lesions. [ABSTRACT FROM AUTHOR]

With the development of autonomous cars, the incidence of motion sickness has increased. Current studies on the characteristics of motion sickness have primarily focused on its long-term characteristics while ignoring its short-term characteristics, especially for the reporting time of the real-time evaluation method. This study explores the long and short-term characteristics of motion sickness, and uses self-reported motion sickness ratings at the end of car motion (the high point) and 3 s after the end of motion (the low point). Motion sickness ratings increased with task vs. no-task conditions. There is no significant correction between gender and maximum motion sickness in this study. Moreover, participants with high motion sickness susceptibility experienced increased motion sickness. The difference between the low point and the high point is found to decrease as the motion sickness ratings increase. [ABSTRACT FROM AUTHOR]

Flexible piezoelectric composite films have piezoelectric properties and good flexibility. Therefore, it has broad application prospects in wearable electronic products, electric sensors, etc. In this paper, traditional solid-state and hydrothermal methods were used to prepare Pb(Zr0.52Ti0.48) (PZT) and Pb0.95Sr0.05(Zr0.52Ti0.48) (PSZT) ceramic fillers. PZT-based/P(VDF-TrFE) composite films with a thickness of 0.1 mm were prepared by introducing fillers into the matrix by solution casting method, and the effect of fillers on the properties of flexible piezoelectric composite films was investigated. The experimental results show that the piezoelectric and dielectric properties of the flexible piezoelectric composite film can be improved by changing the processing method or the formula of the piezoelectric ceramic fillers with a better piezoelectric property. Compared with the pure P(VDF-TrFE) film, the introduction of ceramic fillers or varying the processing method of ceramic fillers can both stimulate a phase transition from α to β of the P(VDF-TrFE) matrix. Among them, the composite film with the PSZT filler prepared through the hydrothermal method has the most β phase content. It has the best electrical properties and exhibits good tensile strength and elongation at break. Its d33 = 18.3 pC/N, εr = 14, tanδ = 0.16, the maximum output voltage is 6.08 V, the tensile strength is 37.1 MPa, and the elongation at break is 757.7%. [ABSTRACT FROM AUTHOR]

The increasing number of vehicles are emitting a large amount of particles into the atmosphere, causing serious harm to the ecological environment and human health. This study conducted the Worldwide Harmonized Light Vehicles Test Cycle (WLTC) to investigate the emission characteristics of particle number (PN) of China-VI gasoline vehicles with different gasoline. The gasoline with lower aromatic hydrocarbons and olefins reduced particulate matter (PM) and PN emissions by 24% and 52% respectively. The average PN emission rate of the four vehicles during the first 300 s (the cold start period) was 7.2 times that of the 300 s–1800s. Additionally, because the particle transmission time and instrument response time, the test results of instantaneous emissions of PN were not synchronized with vehicle specific power (VSP). By calculating the Spearman correlation coefficient between pre-average vehicle specific power (PAVSP) and the test results of PN instantaneous emissions, the delay time was determined as 10s. After the PN emissions results were corrected, the PN emissions were found to be more related to VSP. By analyzing the influence of driving status on emission, this study found that vehicles in acceleration mode increased PN emissions by 76% compared to those in constant speed mode. [ABSTRACT FROM AUTHOR]

Ergot alkaloids (EAs) are a diverse group of indole alkaloids known for their complex structures, significant pharmacological effects, and toxicity to plants. The biosynthesis of these compounds begins with chanoclavine-I aldehyde (CC aldehyde, 2), an important intermediate produced by the enzyme EasDaf or its counterpart FgaDH from chanoclavine-I (CC, 1). However, how CC aldehyde 2 is converted to chanoclavine-I acid (CC acid, 3), first isolated from Ipomoea violacea several decades ago, is still unclear. In this study, we provide in vitro biochemical evidence showing that EasDaf not only converts CC 1 to CC aldehyde 2 but also directly transforms CC 1 into CC acid 3 through two sequential oxidations. Molecular docking and site-directed mutagenesis experiments confirmed the crucial role of two amino acids, Y166 and S153, within the active site, which suggests that Y166 acts as a general base for hydride transfer, while S153 facilitates proton transfer, thereby increasing the acidity of the reaction. Key points: •EAs possess complicated skeletons and are widely used in several clinical diseases •EasDafbelongs to the short-chain dehydrogenases/reductases (SDRs) and converted CC or CC aldehyde to CC acid •The catalytic mechanism of EasDaffor dehydrogenation was analyzed by molecular docking and site mutations [ABSTRACT FROM AUTHOR]

Semi-interpenetrating (semi-IPN) hydrogels formed by the continuous interpenetration of cross-linked polymer network and linear non-crosslinked polymer with multifunctionality are widely used in biomedical and other fields. However, the negative impact of linear polymer on the homogeneity of the cross-linked network often leads to a decrease in the mechanical properties of semi-IPN hydrogels and severely limits their applications. Herein, a bioinspired hydrogen-bonding induced phase separation strategy is presented to construct the tough semi-IPN polyvinylpyrrolidone/polyacrylamide hydrogels (named PVP/PAM hydrogels), including the linear polymer polyvinylpyrrolidone (PVP) and cross-linked polyacrylamide (PAM) network. The resultant PVPx/PAM hydrogels exhibit unique phase separation induced by the hydrogen bonding between PVP and PAM and affected by the amount of substance of PVP. Meanwhile, the phase separation of PVPx/PAM hydrogels results in excellent mechanical properties with a strain of 2590%, tensile strength of 0.28 MPa and toughness of 2.17 MJ/m3. More importantly, the hydrogen bonding between PVP and PAM firstly disrupts to dissipate energy under external forces, so the PVPx/PAM hydrogels exhibit good self-recovery properties and outperform chemically cross-linked PAM hydrogels in impact resistance and damping applications. It is believed that the PVPx/PAM hydrogels with hydrogen-bonding induced phase separation possess more potential application prospects. [ABSTRACT FROM AUTHOR]

Bone age assessment (BAA) is a crucial task in clinical, forensic, and athletic fields. Since traditional age estimation methods are suffered from potential radiation damage, this study aimed to develop and evaluate a deep learning radiomics method based on multiparametric knee MRI for noninvasive and automatic BAA. This retrospective study enrolled 598 patients (age range,10.00–29.99 years) who underwent MR examinations of the knee joint (T1/T2*/PD-weighted imaging). Three-dimensional convolutional neural networks (3D CNNs) were trained to extract and fuse multimodal and multiscale MRI radiomic features for age estimation and compared to traditional machine learning models based on hand-crafted features. The age estimation error was greater in individuals aged 25–30 years; thus, this method may not be suitable for individuals over 25 years old. In the test set aged 10–25 years (n = 95), the 3D CNN (a fusion of T1WI, T2*WI, and PDWI) demonstrated the lowest mean absolute error of 1.32 ± 1.01 years, which is higher than that of other MRI modalities and the hand-crafted models. In the classification for 12-, 14-, 16-, and 18- year thresholds, accuracies and the areas under the ROC curves were all over 0.91 and 0.96, which is similar to the manual methods. Visualization of important features showed that 3D CNN estimated age by focusing on the epiphyseal plates. The deep learning radiomics method enables non-invasive and automated BAA from multimodal knee MR images. The use of 3D CNN and MRI-based radiomics has the potential to assist radiologists or medicolegists in age estimation. [ABSTRACT FROM AUTHOR]

The need for tumor postoperative treatments aimed at recurrence prevention and tissue regeneration have raised wide considerations in the context of the design and functionalization of implants. Herein, an injectable hydrogel system encapsulated with anti-tumor, anti-oxidant dual functional nanoparticles has been developed in order to prevent tumor relapse after surgery and promote wound repair. The utilization of biocompatible gelatin methacryloyl (GelMA) was geared towards localized therapeutic intervention. Zeolitic imidazolate framework-8@ceric oxide (ZIF-8@CeO2, ZC) nanoparticles (NPs) were purposefully devised for their proficiency as reactive oxygen species (ROS) scavengers. Furthermore, injectable GelMA hydrogels loaded with ZC NPs carrying doxorubicin (ZC-DOX@GEL) were tailored as multifunctional postoperative implants, ensuring the efficacious eradication of residual tumor cells and alleviation of oxidative stress. In vitro and in vivo experiments were conducted to substantiate the efficacy in cancer cell elimination and the prevention of tumor recurrence through the synergistic chemotherapy approach employed with ZC-DOX@GEL. The acceleration of tissue regeneration and in vitro ROS scavenging attributes of ZC@GEL were corroborated using rat models of wound healing. The results underscore the potential of the multifaceted hydrogels presented herein for their promising application in tumor postoperative treatments. [ABSTRACT FROM AUTHOR]

We deal with the following predator-prey model involving nonlinear indirect chemotaxis mechanism { u t = Δ u + ξ ∇ ⋅ (u ∇ w) + a 1 u (1 − u r 1 − 1 − b 1 v) , x ∈ Ω , t > 0 , v t = Δ v − χ ∇ ⋅ (v ∇ w) + a 2 v (1 − v r 2 − 1 + b 2 u) , x ∈ Ω , t > 0 , w t = Δ w − w + z γ , x ∈ Ω , t > 0 , 0 = Δ z − z + u α + v β , x ∈ Ω , t > 0 , under homogeneous Neumann boundary conditions in a bounded and smooth domain Ω ⊂ R n (n ≥ 1 ), where the parameters ξ , χ , a 1 , a 2 , b 1 , b 2 , α , β , γ > 0 . It has been shown that if r 1 > 1 , r 2 > 2 and γ (α + β) < 2 n , then there exist some suitable initial data such that the system has a global classical solution (u , v , w , z) , which is bounded in Ω × (0 , ∞) . Compared to the previous contributions, in this work, the boundedness criteria are only determined by the power exponents r 1 , r 2 , α , β , γ and spatial dimension n instead of the coefficients of the system and the sizes of initial data. [ABSTRACT FROM AUTHOR]

Continuous cropping has a negative effect on soybean yield. In this study, a positioning experiment was conducted starting in 2015, with three treatments: maize–soybean rotation (SMR), 2-year maize, 2-year soybean rotation cropping (SC2), and 8-year soybean continuous cropping (SC8). We determined soybean yields (2015–2022) and analyzed soil microbial communities, functions, and metabolites composition in the 0–20 cm tillage layer using metagenomics technology and GC–MS technology during soybean flowering in 2022. Results indicated that continuous cropping (SC8) significantly reduced soybean yield compared to crop rotation (SMR) during the experimental period, while SC8 showed higher yield than SC2 in 2022. Compared to SMR, SC8 significantly increased soil N content and significantly decreased pH and TP, AP, and AK content. However, the pH and AK contents of SC8 were significantly higher than those of SC2. LeFSe analysis showed that Friedmanniella, Microlunatus, Nitrososphaera, Rubrobacter, Geodermatophilus, Nitriliruptor were enriched in SC8. Gaiella, Sphaerobacter, Methyloceanibacter were enriched in SC2. Sphingomonas, Cryobacterium, Marmoricola, Haliangium, Arthrobacter, Ramlibacter, Rhizobacter, Pseudolabrys, Methylibium, Variovorax were enriched in SMR. And the relative abundance of Cryobacterium, Marmoricola, Haliangium, Arthrobacter, Ramlibacter, Rhizobacter, Methylibium, Variovorax was significantly positively correlated with yield, while the relative abundance of Gaiella and Sphaerobacter was significantly negatively correlated with yield. SC8 significantly increased the abundance of genes in nitrogen metabolism and significantly decreased the abundance of genes related to phosphorus and potassium metabolism compared with SMR. However, the abundance of genes in potassium metabolism was significantly higher in SC8 than in SC2. Metabolomic analysis showed that compared to SMR, SC8 decreased the abundance of carbohydrates, ketones, and lipid. However, the abundance of carbohydrates, ketones, and lipid was significantly higher in SC8 than in SC2. Mantel test showed that soil pH and AK significantly affected soil microbial community, function, and metabolite composition. Correlation analysis showed significant correlation between soil metabolites and microorganisms, metabolic functions. [ABSTRACT FROM AUTHOR]

In this paper, we consider the following quasilinear chemotaxis system involving nonlocal effect u t = ∇ · (φ (u) ∇ u) - ∇ · (u ∇ v) + μ u 1 - ∫ Ω u α d x , x ∈ Ω , t > 0 , [ 2.5 m m ] 0 = Δ v - m (t) + u , m (t) = 1 | Ω | ∫ Ω u (x , t) d x , x ∈ Ω , t > 0 , [ 2.5 m m ] u (x , 0) = u 0 (x) , x ∈ Ω , where Ω = B R (0) ⊂ R n (n ≥ 3) with R > 0 , the parameters μ , α are positive constants and diffusion function φ (u) ≤ C 0 (1 + u) - m for all u ≥ 0 with C 0 > 0 and m > - 1. It has been shown that if 0 < α < min 2 , n 2 , n (m + 1) 2 , then there exist suitable initial data u 0 such that the corresponding radially symmetric solution blows up in finite time. In this work, we extend the blow-up result established by previous researchers. [ABSTRACT FROM AUTHOR]

Most existing recommendation research has been concentrated on unidirectional recommendation, i.e., only recommending items to users. However, the platform needs to achieve bi-directional recommendation in many real-world scenarios. For example, in an online recruitment scenario, the recommender system not only needs to recommend positions to candidates, but also recommend candidates to enterprises. In this paper, we develop a new bi-directional recommendation model for online recruitment termed (BiMuF) Bi-directional recommendation with Multi-semantic Filter. In BiMuF, an encoder component is utilized to learn the text embeddings, a multi-semantic filter component is designed to capture important graph representation, and a graph learning component is designed to learn the graph embeddings. In addition, a multi-task learning framework is designed to achieve bi-directional recommendations. In the multi-task learning framework, we share text embeddings and graph embeddings to alleviate the problems of data sparsity, data asymmetry, and feature generalization in online recruitment. Moreover, we conduct three new datasets based on a technology supply and demand docking platform namely South China Technology Commercialization Center, and three new datasets in job recruitment scenario namely Computer Technology-Related Job Recruitment. Extensive experiments in the real-world tasks show that BiMuF outperforms the state-of-the-art methods, verifying the effectiveness of the designs of our model. The code and the latter datasets are available at https://github.com/allminerlab. [ABSTRACT FROM AUTHOR]

Diketopiperazine alkaloids have proven the most abundant heterocyclic alkaloids up to now, which usually process diverse scaffolds and rich biological activities. In our search for bioactive diketopiperazine alkaloids from marine-derived fungi, two novel diketopiperazine alkaloids, penipiperazine A (1) and its biogenetically related new metabolite (2), together with a known analogue neofipiperzine C (3), were obtained from the strain Penicillium brasilianum. Their planar structures and absolute configurations were elucidated by extensive spectroscopic analyses, 13C NMR calculation, Marfey's, ECD, and ORD methods. Compound 1 featured a unique 6/5/6/6/5 indole-pyrazino-pyrazino-pyrrolo system, and its plausible biogenetic pathway was also proposed. Additionally, compounds 1–3 have been tested for their inflammatory activities. 1 and 2 significantly inhibited the release of NO and the expression of related pro-inflammatory cytokines on LPS-stimulated RAW264.7 cells, suggesting they could be attracting candidate for further development as anti-inflammatory agent. Key points: • A novel diketopiperazine alkaloid featuring a unique 6/5/6/6/5 indole-pyrazino-pyrazino-pyrrolo system was isolated from the marine fungus Penicillium brasilianum. • The structure of 1 was elucidated by detailed analysis of 2D NMR data, 13C NMR calculation, Marfey's, ECD, and ORD methods. • Compounds 1 and 2 significantly inhibited the release of NO and the expression of related pro-inflammatory cytokines on LPS-stimulated RAW264.7 cells. [ABSTRACT FROM AUTHOR]

Phase-change materials (PCMs) used as thermal interface materials suffer from the problems of low thermal conductivity and leakage during phase-change processes. Here, a carbon supporter with a vertical hierarchical thermal conductivity structure was designed and provided the PCMs for rapid heat transfer. The supporter of the PCMs was readily prepared from carbonization of commercial polyimide tape coated with carbon nanotubes. The as-obtained supporter was composed of vertical polyimide-derived carbon, in-situ-formed silicon carbide, and interwoven carbon nanotubes, forming a hierarchical thermally conductive nanostructure. In the vertical direction, the polyimide-carbonized straight carbon framework can reduce phonon scattering during heat transfer and greatly improve the thermal conductivity. The in-situ-formed silicon carbide fibers connected the carbon framework with carbon nanotubes, integrating the conductive pathways together. As for the function of the carbon nanotubes, PCMs like paraffin can be loaded in the interwoven networks with no leakage. Based on the above strategy, a shape-stable composite PCM with high thermal conductivity is obtained. When loading 50 wt.% paraffin wax, the composite PCM displayed a latent heat of 85.29 kJ kg−1 and maintained excellent shape stability, which can be used as a heat buffer for thermal interface materials. Moreover, due to the rational design of the thermally conductive pathways, the thermal conductivity of the composite PCM reached 3.3 W m−1 K−1, 11.7 times higher than pure paraffin. The results show an effective yet facile strategy for building the thermally conductive pathways in thermal interface materials and hold promising applications. [ABSTRACT FROM AUTHOR]

Highlights: Design principle of a reliable electrolyte based on chelation strength is proposed for high-performance aqueous batteries. The addition of penta-sodium diethylene-triaminepentaacetic acid salt is effective in dynamically modulating anode/electrolyte interface, inhibiting water-related side reactions, and mitigating dendrite generation on zinc anodes. Symmetrical, Zn||Cu half and Zn||NH4V4O10 full cells using the new electrolyte exhibit improved electrochemical performance. Aqueous zinc-ion batteries are promising due to inherent safety, low cost, low toxicity, and high volumetric capacity. However, issues of dendrites and side reactions between zinc metal anode and the electrolyte need to be solved for extended storage and cycle life. Here, we proposed that an electrolyte additive with an intermediate chelation strength of zinc ion—strong enough to exclude water molecules from the zinc metal-electrolyte interface and not too strong to cause a significant energy barrier for zinc ion dissociation—can benefit the electrochemical stability by suppressing hydrogen evolution reaction, overpotential growth, and dendrite formation. Penta-sodium diethylene-triaminepentaacetic acid salt was selected for such a purpose. It has a suitable chelating ability in aqueous solutions to adjust solvation sheath and can be readily polarized under electrical loading conditions to further improve the passivation. Zn||Zn symmetric cells can be stably operated over 3500 h at 1 mA cm−2. Zn||NH4V4O10 full cells with the additive show great cycling stability with 84.6% capacity retention after 500 cycles at 1 A g−1. Since the additive not only reduces H2 evolution and corrosion but also modifies Zn2+ diffusion and deposition, highlyreversible Zn electrodes can be achieved as verified by the experimental results. Our work offers a practical approach to the logical design of reliable electrolytes for high-performance aqueous batteries. [ABSTRACT FROM AUTHOR]

The effects of austenitizing temperature and holding time on oxidative decarbonization behavior of bare 22MnB5 steel sheet were investigated by OM, SEM, XRD, XPS, and room temperature tensile measurement. The oxidation kinetic model of 22MnB5 steel was calculated and revealed that early oxidation was controlled by chemical reaction, and later oxidation was controlled by elemental diffusion, for oxide layer structure from inside to outside of SiO2 + Cr2O3, wustite (FeO + Fe3O4), Fe3O4, and Fe2O3. With the increase in heating temperature (890-950 °C) and holding time (5-15 min), both oxidation and decarburization layers of 22MnB5 steel increased continuously, leading to a decrease in tensile strength and increase in elongation, making an increase in product of strength and ductility of about 1-4 GPa%. Based on the oxidative decarbonization and mechanical properties, the optimal heat treatment of 22MnB5 steel is 920 °C for 5 min. [ABSTRACT FROM AUTHOR]

Background: To investigate the effect of timing of statin administration on lipid-lowering efficacy. Methods: Computer searches of Pubmed, Embase, Cochrane Library, and Web of Science databases from 1986 to 2023. The impact of administration time on the lipid-lowering efficacy of statin drugs was investigated. Following a series of screenings, a funnel plot was constructed to assess its symmetry, and Egger and Beggar tests were conducted using StataMP-64 to evaluate publication bias. Meta-analysis was performed using RevMan 5.3 to combine MD values. Results: Fifteen papers (1352 participants) met and included the criteria. The results of the meta-analysis showed that the effect of morning and evening administration time on plasma triglycerides (TG) (P > 0.05) and plasma high-density lipoprotein cholesterol (HDL-C) (P > 0.05) was not statistically significant. There were significant reductions in total cholesterol (TC) (MD: 0.15 mmol/L, 95% CI: 0.06–0.23, P < 0.01) and low-density lipoprotein cholesterol (LDL-C) (MD: 0.10 mmol/L, 95% CI: − 0.00–0.20, P < 0.01) in the night group. According to the analysis results of the half-life of statins, only short half-life statins showed that nocturnal administration reduced LDL-C (MD: 0.21 mmol/L, 95% CI: 0.09–0.33, P < 0.01) and TC (MD: 0.32 mmol/L, 95% CI: 0.18–0.46, P < 0.01) levels and was better than morning administration. Long half-life statins did not show significant differences. In addition, the administration time of short half-life statins also showed that night administration tended to reduce TG (MD: 0.16 mmol/L, 95% CI: 0.02–0.30, P < 0.05) levels. In subgroup analysis according to clinical factors in patients aged < 55 years, there was no significant difference in the timing of administration between the two groups; the efficacy of statins in lowering lipids in patients aged ≥ 55 years was significantly different in the TC group (P < 0.01) and LDL-C group (P < 0.01). The administration time of the TC group (P < 0.05) and LDL-C group (P < 0.05) in the Americas, Europe, and Asian groups was significantly different for statins. In addition, the American group also showed that the administration time of the two groups was significantly different from the TG group (P < 0.05). Conclusion: The efficacy of administering short half-life statin drugs at night in reducing plasma levels of TC, LDL-C, and TG surpasses that of morning administration. However, this study did not determine the impact of timing of statin administration in patients taking long half-life statins on the efficacy of the medication. Therefore, it is recommended to consider patient adherence when. The study was registered on PROSPERO (International Prospective Register of Systematic Reviews) as CRD42022372105 (available at https://www.crd.york.ac.uk/prospero/). [ABSTRACT FROM AUTHOR]

This paper is concerned with a quasilinear parabolic–parabolic–elliptic chemotaxis system u t = ∇ · (φ (u) ∇ u - ψ (u) ∇ v) + a u - b u γ , x ∈ Ω , t > 0 , v t = Δ v - v + w γ 1 , x ∈ Ω , t > 0 , 0 = Δ w - w + u γ 2 , x ∈ Ω , t > 0 , under homogeneous Neumann boundary conditions in a bounded and smooth domain Ω ⊂ R n (n ≥ 1) , where a , b , γ 1 , γ 2 > 0 , γ > 1 , φ and ψ are nonlinear functions satisfying φ (s) ≥ a 0 (s + 1) α and | ψ (s) | ≤ b 0 s (1 + s) β - 1 for all s ≥ 0 with a 0 , b 0 > 0 and α , β ∈ R. When β + γ 1 γ 2 < max { n + 2 n + α , γ } , then the system has a classical solution which is globally bounded in time. Moreover, when β + γ 1 γ 2 = max { n + 2 n + α , γ } , it has been shown that the existence of global bounded classical solution depends on the size of coefficient b and initial data u 0. Furthermore, we consider a specific system with γ 1 = 1 , γ 2 = κ and γ = κ + 1 for κ > 0. If b > 0 is sufficiently large, the global classical solution(u, v, w) exponentially converges to the steady state ((a b) 1 κ , a b , a b) in L ∞ norm as t → ∞ , where convergence rate is explicitly expressed in terms of the system parameters. [ABSTRACT FROM AUTHOR]

Permeability is an essential factor used for evaluating the commercial exploitation of unconventional energy. The pressure pulse decay method is one of the most effective methods to measure permeability and has been improved by adding a pressure transducer upstream and a chamber upstream and downstream. The relationship between the pulse pressure and equilibrium time under different storage volumes is investigated based on a developed apparatus. Moreover, the effect of compressive storage on permeability measurements has been examined by comparing the Brace's et al.'s solution and Jones' solution. The following results were obtained for the constant injection pressure. 1) The equilibrium pressure increases with a decrease in the upstream storage volume and decreases with an increase in the downstream storage volume. 2) The equilibrium time increases with an increase in the storage volume, and the similar volume of the upstream and downstream can accelerate the test procedure. 3) A linear relationship between the storage volume and equilibrium time is not apparent when the volume of the upstream and downstream are asymmetric. However, this linear relationship is evident when the volume of the upstream and downstream are symmetrical. 4) The influence of the downstream storage volume is more significant than the upstream volume on the measurement of permeability. The results are of guiding significance for selecting the proper storage volume to measure permeability. [ABSTRACT FROM AUTHOR]

Federated learning does well in jointly training multiple deep learning models for fault diagnosis. The accuracy of local model may affect the effectiveness of federated learning. In the case when the local model is suffered from few labeled data with poor quality, it is significant to design an active federation strategy to screen informative unlabeled samples by which supervised model can be further optimized. However, traditional active learning method for federated learning is unable to guarantee the effectiveness of federation since it focuses on screening the samples helpful for a specific local model rather than global model. This paper proposes a method of combining the variability of informativeness within the client and the variability between clients to overcome this problem. Informativeness variability of labeled data between clients is used to guide the screen strategy using active federation model rather than local model, such that influence of unreliable clients can be decreased to avoid negative transferring due to samples with low quality. Experimental validation for benchmark dataset of rolling bearing shows that 25.04% improvement of fault diagnosis accuracy can be achieved in the case when only few labeled data are available and 13.6% improvement can be achieved in the case when only labeled data with low quality are available. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to analyse the correlation between prostaglandin D2 synthase (PTGDS) and a diffuse large B-cell lymphoma (DLBCL) prognosis. Methods: We retrospectively collected two hundred paraffin-embedded tissue specimens that were pathologically diagnosed as DLBCL in the Fujian Tumour Hospital between January 2014 and December 2018. An abundance of paraffin-embedded tumour tissues were obtained. Twenty patients with lymphocyte-rich, benign, tissue-reactive, hypertrophic tonsillitis were selected as controls. Wax blocks were selected for primary cases and the controls were screened by professional pathologists. The levels of prostaglandin D2 synthase (PTGDS) and the EMT-related molecules, E-cadherin and vimentin, were detected by immunohistochemistry in clinical samples. A chi-square test revealed the correlations between PTGDS expression and clinicopathological characteristics, including age, sex, primary site, clinical stage, immunotyping, and International Prognostic Index (IPI) score. The Kaplan–Meier survival analysis was performed, and the diagnostic value was evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 138 cases (69%) were found to be PTGDS positive (> 30% positive cells). PTGDS staining was negative (< 30% positive cells) in 62 cases (31%). We collected the corresponding clinicopathological information and found that PTGDS expression was not significantly related to the patients' age, tumour stage, presence of extranodal invasion, or IPI score. According to the follow-up data, patients with low PTGDS expression had poor progression-free survival (PFS) and overall survival (OS), with 2-year PFS and OS rates of 41.7% and 50%, respectively. The 2-year PFS and OS rates of PTGDS-positive patients were 89.3% and 92.9%, respectively (P < 0.0001), and the differences were significant. Conclusion: We found that the expression level of PTGDS is significantly correlated with the prognosis of diffuse large B-cell lymphoma. [ABSTRACT FROM AUTHOR]

In this work, we have fabricated a novel Fenton-like ferrihydrite/MoS2 (Fh/MoS2) composite and verified that the introduction of a small amount of iron on the surface of MoS2 can directly promote the exposure of Mo4+, finally enhancing the catalytic activity of the catalyst. Even though the content of iron element is only 1.19% in the composite, the reaction rate constant of Fh/MoS2 system for the degradation of environmental pollutants, such as organic dyes, antibiotic, and ionic liquid, is all much better than that of pure MoS2 system, which is attributed to much more generation of reactive oxygen species derived from synergistic effect of Fe3+/Fe2+ and Mo4+/Mo6+ redox cycles. The results of XPS and low-temperature EPR confirm that the exposure amount of Mo4+ active sites of 10% Fh/MoS2 is greatly increased, which is conducive to the conversion of Fe3+ to Fe2+ in the reaction process, thus effectively promoting the activation of H2O2. [ABSTRACT FROM AUTHOR]

Purpose: Music intervention is commonly used as a non-pharmacologic therapeutic modality to alleviate anxiety in perioperative patients. This study aimed to assess the sedative and anxiolytic effects of music on elderly patients receiving transurethral resection of prostate (TURP) under spinal anesthesia. Methods: This was a prospective randomized controlled trial on patients who aged over 60 and received TURP under spinal anesthesia. Participants were randomized to the music group or the control group (no music). The primary outcome was perioperative BIS values, and the secondary outcomes were patient's perioperative anxiety levels, heart rate (HR), blood pressure, and patient satisfaction score. Results: A total of 82 patients were analyzed. The perioperative BIS values in the music group were significantly lower than those of the control group at almost all time points (P < 0.001), as well as showed a significant reduction compared with baseline (P < 0.001), whereas the control group did not. In comparison with the control group, systolic blood pressure (SBP) significantly decreased in the music group at the beginning (mean difference, − 8.0 mmHg; 95% CI − 15.70 to 0.35; P = 0.041) and the 60th minute (mean difference, − 7.9 mmHg; 95% CI − 15.30 to 0.51; P = 0.037) of TURP. Furthermore, compared with baseline within the music group, diastolic blood pressure (DBP) and HR significant reduced at whole time points (P < 0.05), yet the control group not. Conclusion: Music intervention effectively provided slight sedation for elderly patients when undergoing TURP under spinal anesthesia without sedatives. [ABSTRACT FROM AUTHOR]

There has been a rapidly growing demand for low-cost, integrated single-shot spectrometers to be embedded in portable intelligent devices. Even though significant progress has been made in this area, two major problems are still remaining, namely the high temperature sensitivity and poor bandwidth-resolution ratio (BRR) that can't meet the requirement of most applications. In this work, we present an integrated single-shot spectrometer relying on a silicon photonic circuit that has a footprint less than 3mm2, but could achieve broad operation bandwidth about 100 nm and high resolution up to 0.1 nm (with a BRR ~ 1000). Moreover, for the first time, we demonstrate an integrated spectrometer that could operate within a wide temperature range (between 10 and 70 degrees Celsius) without additional power consumption for temperature management. [ABSTRACT FROM AUTHOR]

Autonomic symptoms (AS) are critical in Parkinson's disease (PD). We aimed to determine the relative significance of clinical factors allowing predictions about incidence of AS, and examine AS profiles among PD patients by motor subtype and its relation to AS. The cross-sectional data of a multicentre sample, including 714 PD patients and 194 healthy controls from Parkinson's Progression Marker Initiative study and Pingchan granule study were analyzed, stratified by PD subtypes [postural instability and gait disturbances (PIGD), tremor dominant (TD), and indeterminate] and domain autonomic dysfunction. Compared with healthy controls, PD patients scored higher in the total Scales for Outcomes in Parkinson's Disease-Autonomic dysfunction score and in several domain scores in particular, and there was a significant overlap in domain AS. Risk factors of individual domain autonomic dysfunction were heterogeneous. PIGD and indeterminate were the predominant subtypes in pupillomotor and thermoregulatory symptoms. TD and indeterminate were more likely to suffer from cardiovascular problem. The odd in sexual dysfunction was significant for PIGD. Gastrointestinal and urinary symptoms seemed not to be associated with a specific subtype. Our study demonstrated that AS were highly heterogeneous and 3 subtypes differed in autonomic performance, providing clues to understand mechanisms underlying AS in PD. [ABSTRACT FROM AUTHOR]

Graph collaborative filtering methods have shown great performance improvements compared with deep neural network-based models. However, these methods suffer from data sparsity and data noise problems. To address these issues, we propose a new contrastive learning-based graph collaborative filtering method to learn more robust representations. The proposed method is called signal contrastive enhanced graph collaborative filtering (SC-GCF), which conducts contrastive learning on graph signals. It has been proved that graph neural networks correspond to low-pass filters on the graph signals from the graph convolution perspective. Different from the previous contrastive learning-based methods, we first pay attention to the diversity of graph signals to directly optimize the informativeness of the graph signals. We introduce a hypergraph module to strengthen the representation learning ability of graph neural networks. The hypergraph learning module utilizes a learnable hypergraph structure to model the latent global dependency relations that graph neural networks cannot depict. Experiments are conducted on four public datasets, and the results show significant improvements compared with the state-of-the-art methods, which confirms the importance of considering signal-level contrastive learning and hypergraph learning. [ABSTRACT FROM AUTHOR]