Search

Although graph convolutional networks have achieved good performances in skeleton‐graph‐based action recognition, there are still some problems which include the incomplete utilization of skeleton graph features and the lacking of logical adjacency information between nodes in adjacency matrix. In this article, a human action recognition algorithm is proposed based on multiple features from the skeleton graph to solve these problems. More specifically, an improved adjacency matrix is constructed to make full use of the multiple skeleton graph features. These features include local differential features, multi‐scale edge features, features of the original skeleton graph, nodal features, and nodal motion features. Extensive results are conducted on four standard datasets (NTU RGB‐D 60, NTU RGB‐D 120, Kinetics, and Northwestern‐UCLA). The experimental results show that the proposed algorithm outperforms the SOTA action recognition algorithms. [ABSTRACT FROM AUTHOR]

The emergence of multi‐principal element alloys (MPEAs) heralds a transformative shift in the design of high‐performance alloys. Their ingrained chemical complexities endow them with exceptional mechanical and functional properties, along with unparalleled microscopic plastic mechanisms, sparking widespread research interest within and beyond the metallurgy community. In this overview, a unique yet prevalent mechanistic process in the renowned FeMnCoCrNi‐based MPEAs is focused on: the dynamic bidirectional phase transformation involving the forward transformation from a face‐centered‐cubic (FCC) matrix into a hexagonal‐close‐packed (HCP) phase and the reverse HCP‐to‐FCC transformation. The light is shed on the fundamental physical mechanisms and atomistic pathways of this intriguing dual‐phase transformation. The paramount material parameter of intrinsic negative stacking fault energy in MPEAs and the crucial external factors c, furnishing thermodynamic, and kinetic impetus to trigger bidirectional transformation‐induced plasticity (B‐TRIP) mechanisms， are thorougly devled into. Furthermore, the profound significance of the distinct B‐TRIP behavior in shaping mechanical properties and creating specialized microstructures c to harness superior material characteristics is underscored. Additionally, critical insights are offered into key challenges and future striving directions for comprehensively advancing the B‐TRIP mechanism and the mechanistic design of next‐generation high‐performing MPEAs. [ABSTRACT FROM AUTHOR]

BACKGROUND: The application of egg white powder (EWP) was subject to its off‐flavor. In the present study, flavourzyme and lactic acid bacteria were used to treat egg white powder (EWP) and the mechanism effects of enzymolysis–fermentation were explored. RESULTS: Compared with the control group, enzymolysis combined with fermentation treatment group (EW‐EF) reduced the four‐representative off‐flavor compounds (geranyl acetone, 1‐octen‐3‐ol, octanal and nonanal) by more than 62.66%. Fermentation produced esters with good flavor, and enzymolysis produced fresh amino acids. Characterization of protein structure indicated that fermentation decreased both fluorescence intensity and surface negative charges, accelerating the aggregation of proteins; enzymolysis promoted aggregation and degradation, improving the stability of the egg white proteins. Meanwhile, enzymolysis broke down the hydrophobic cavities bound to off‐flavor compounds, releasing protein‐bound off‐flavor compounds and removing them through fermentation. CONCLUSION: EW‐EF had the best effect of off‐flavor removal on EWP. The results of the present study could provide a green and effective method for improving the flavor of EWP. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Objective: Using Optical coherence tomography (OCT), we evaluated the association between peripapillary retinal nerve fiber, macular thickness, macular ganglion cell‐inner plexiform layer, and drug resistance. Methods: In this cross‐sectional study, we recruited people diagnosed with epilepsy and healthy controls. People with epilepsy were further stratified as drug‐resistant or non‐drug‐resistant based on their response to anti‐seizure medications. OCT measurements were conducted, and findings in right eye were analyzed. Results: Fifty‐one drug‐resistant participants, 37 non‐drug‐resistant, and 45 controls were enrolled. The average peripapillary retinal nerve fiber layer, ganglion cell‐inner plexiform layer, and macular thickness were thinner in the epilepsy groups than in controls. The drug‐resistant group had significantly lower average ganglion cell‐inner plexiform layer thickness (p = 0.004) and a higher proportion of abnormal/borderline GC/IPL thickness (p = 5.40E‐04) than the non‐drug‐resistant group. Nevertheless, no significant differences were seen between the average thickness of peripapillary retinal nerve fiber and macular thickness. The temporal sectors of these three parameters were also significantly thinner in the drug‐resistant group than in the non‐drug‐resistant. In a multivariate regression model, drug resistance was an independent predictor of reduced ganglion cell‐inner plexiform thickness (Odds ratios OR = 10.25, 95% CI 2.82 to 37.28). Increased seizure frequency (r = −0.23, p = 0.039) and a higher number of anti‐seizure medications ever used (r = −0.27, p = 0.013) were negatively associated with ganglion cell‐inner plexiform layer thickness. Significance: Individuals with drug‐resistant epilepsy had a consistent reduction in average ganglion cell‐inner plexiform layer thickness and the temporal sector of peripapillary retinal nerve fiber layer and macular thickness. This suggests that ganglion cell‐inner plexiform layer thickness could potentially serve as an indicator of the burden of drug resistance, as it correlated with reduced thickness in individuals having more frequent seizures and greater exposure to ASMs. Plain Language Summary: In our study, we used a special tool called OCT to measure how thick the retina is in people with epilepsy and in healthy control. We found that the retina was consistently thinner in all areas for those with epilepsy compared to healthy control. Particularly, a specific layer called the ganglion cell‐inner plexiform layer was a lot thinner in the group that didn't respond to medications, and this thinning was related to how often seizures occurred and how much medications were taken. Also, certain parts of the retina were thinner in the drug‐resistant group. [ABSTRACT FROM AUTHOR]

The selection of relevant information from internal memory representations involves both voluntary process directed by endogenous factors such as task goals or intentions, and involuntary susceptibility to exogenous factors like stimulus features. Previous research has shown that competition between these endogenous and exogenous factors delays internal selection of task-relevant information. Nonetheless, it remains unclear whether task-irrelevant information is removed from or retained in working memory. Across two experiments, we investigated how this competition affects task-irrelevant working memory representations. By tracking pupillary signals after different retro-cues, we revealed that task-irrelevant information was maintained in working memory under guidance from either an anti retro-cue which creates a state of conflict between endogenous and exogenous selection mechanisms, or a null retro-cue, which relies solely on exogenous factors. In contrast, task-irrelevant information was dropped from working memory when guided by pro retro-cue that harmonizes endogenous and exogenous factors. These findings strengthen the view that retro-cue benefits derive from removing task-irrelevant information from memory, rather than the prioritization view that priority in the task-relevant information does not alter the state of task-irrelevant information. [ABSTRACT FROM AUTHOR]

Background: Neoadjuvant chemoimmunotherapy (nCIT) for locally advanced esophageal squamous cell cancer (ESCC) has shown short-term benefits, but long-term survival outcomes are unclear. This study compares nCIT and neoadjuvant chemotherapy (nCT) in resectable ESCC. Patients and methods: A retrospective analysis was conducted on ESCC patients who underwent nCT or nCIT followed by esophagectomy. Propensity score matching (PSM) with a caliper of 0.02 was employed to minimize bias. The primary endpoints included disease-free survival (DFS) and overall survival (OS). Results: A total of 131 comparable pairs of ESCC patients receiving nCT and nCIT were selected for the final analysis. The nCIT had higher rates of pathological complete response (pCR) and major pathological response (mPR) compared to nCT. Additionally, nCIT led to significant tumor down-staging, higher rates of R0 resection, and increased lymph node clearance during surgery. Patients who received nCIT exhibited improved disease-free survival (DFS) and overall survival (OS) at the 3-year follow-up. The incidence of distant and mixed relapses was lower in the nCIT group compared to the nCT group. However, the risk of locoregional relapse was comparable between the two groups. Subgroup analyses showed that the benefits of nCIT were generally observed across most patient subgroups. Interestingly, in patients without pCR or mPR, nCIT still demonstrated better survival benefits than nCT. Conclusion: nCIT demonstrated superior pathological response rates and improved 3-year DFS and OS compared to nCT alone in locally advanced ESCC, but long-term survival validation is needed. [ABSTRACT FROM AUTHOR]

Neonatal necrotizing enterocolitis (NEC) is a critical digestive disorder frequently affecting premature infants. Characterized by intestinal inflammation caused by activated M1 macrophages, modulation of macrophage polarization is considered a promising therapeutic strategy for NEC. It has been demonstrated that the growth factor‐like protein progranulin (PGRN), which plays roles in a number of physiological and pathological processes, can influence macrophage polarization and exhibit anti‐inflammatory characteristics in a number of illnesses. However, its role in NEC is yet to be investigated. Our research showed that the levels of PGRN were markedly elevated in both human and animal models of NEC. PGRN deletion in mice worsens NEC by encouraging M1 polarization of macrophages and escalating intestinal damage and inflammation. Intravenous administration of recombinant PGRN to NEC mice showed significant survival benefits and protective effects, likely due to PGRN's ability to inhibit M1 polarization and reduce the release of pro‐inflammatory factors. Our findings shed new light on PGRN's biological role in NEC and demonstrate its potential as a therapeutic target for the disease. [ABSTRACT FROM AUTHOR]

Background: Preoperative frailty is a risk factor associated with postoperative delirium (POD), which has attracted more attention from clinicians, but no research has shown that it is related to elderly patients undergoing craniotomy. Therefore, the aim of this study was to determine the effect of preoperative frailty on POD in older patients, especially those who underwent craniotomy. Methods: From October 2022 to May 2023, older patients who underwent elective craniotomy were collected. Assess the occurrence of frailty using the FRAIL scale one day before surgery. Evaluate the occurrence of POD using the Confusion Assessment Method (CAM) within three days after surgery. Participants were divided into two groups, one group being POD, Logistic regression analysis was used to find the risk variables for POD, and the predictive value of preoperative frailty to POD was determined by using the operating characteristic curve of the subjects. Results: A total of 300 patients were included in this study, among whom 83 patients (27.7%) exhibited preoperative frailty and 69 patients (23.0%) experienced POD. The results of the multivariate logistic regression analysis indicate that preoperative frailty (OR: 8.816, 95% CI: 3.972–19.572), preoperative hypoalbuminemia (OR: 0.893, 95% CI: 0.811–0.984), low BMI (OR: 0.793, 95% CI: 0.698–0.901), and prolonged operative duration (OR: 1.007, 95% CI: 1.004–1.010) are independent risk factors for POD in older patients who underwent craniotomy. We constructed a risk prediction model using these factors, which had an area under the ROC curve of 0.908 (95% CI: 0.869–0.947, P < 0.001). Preoperative frailty enhanced the discriminative ability of the prediction model by 0.037. POD was associated with a longer length of hospital stay and higher hospitalization costs. Conclusions: Preoperative frailty is an independent risk factor for POD in older patients undergoing elective craniotomy and can predict the occurrence of POD to a certain extent. In addition, early identification of patients at risk of malnutrition and appropriate surgical planning can reduce the incidence of POD. [ABSTRACT FROM AUTHOR]

Background: Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) is typically resistant to pharmacological interventions; however, achieving seizure freedom is possible through surgery. Our objective was to focus on the pregnancy and seizure outcomes during pregnancy of women with TLE-HS, and aim to identify predictors of seizure control. Methods: The West China Registry of Pregnancy of Women with Epilepsy (WCPR_EPi) was a monocentric prospective cohort study of women with epilepsy (WWE). We screened women with TLE-HS in this database. Their clinical profile, anti-seizure medication (ASM) use, and pregnancy outcomes were extracted from the records of the registry (2010–2023). Results: Out of 2320 WWE followed up, 47 pregnancies in women with TLE-HS were identified and analyzed. Seizure exacerbation occurred in 40.4% of pregnancies, and seizure freedom was present in 34.0% of these during pregnancy. Factors associated with seizure exacerbation during pregnancy was ASM non-adherence (odds ratio [OR] =7.00, 95% confidence interval [CI] 1.43–34.07, P=0.016). The surgery group showed a significantly higher seizure freedom rate (OR = 6.87, 95% CI 1.02–46.23, P=0.016) and lower rate of induced labor (0.0% vs 26.5%, P=0.047) compared to the medically-treated group alone. Caesarean section was chosen in 77.1% of cases due to seizure concerns, with comparable in epilepsy-related (n=20) and obstetric causes (n=24). No major congenital malformations were reported. Conclusions: Surgical treatment before pregnancy appears to offer a higher chance of seizure freedom compared to medication alone. Most of women with TLE-HS can deliver healthy offspring regardless of suboptimal seizure control and unwarranted concerns. [ABSTRACT FROM AUTHOR]

Background: Metastasis is the primary cause of lung cancer-related death. Primary cancer cells invade through the lymphatic or blood vessels to distant sites. Recently, it was proposed that lymphatic metastasis was more a hallmark of tumor aggressiveness or metastatic potential than a gateway to metastases. Therefore, the underlying molecular mechanism of metastasis is not entirely clear. Objectives: This study aimed to explore the genetic mechanisms underlying liver metastases from lung cancer and to evaluate the efficacy of different therapies in these patients. Design: We retrospectively analyzed the mutation spectrum of different biopsy samples including primary lung tumors, liver, lymph node metastasis, and circulating tumor DNA (ctDNA) from 1090 non-small-cell lung cancer (NSCLC) patients with liver metastasis between the years 2017 and 2022. Methods: Demographic and disease characteristics were summarized using descriptive parameters. Time to treatment discontinuation was used to analyze the clinical outcome. Results: More liquid biopsies were performed than tissue biopsies, especially in the treated advanced NSCLC patients. Liver metastasis before treatment was associated with poor response to immune checkpoint inhibitors and targeted therapy. Liver and lymph node metastasis had higher levels of single nucleotide variants and copy number variants than primary lung tumors. In paired lung and liver, lymph nodes, and simultaneous ctDNA, we found actionable mutations were always shared, while metastasis samples had multiple private mutations. Serial ctDNA analysis identifies potential resistant mutations and describes the evolution of tumor cells. Conclusion: Liver and lymph node metastasis in NSCLC showed shared actionable mutations. Of note, the discrepancy of private mutations in liver and lymph node metastases indicated that liver metastases are mainly seeded by the primary tumor rather than the earlier colonized lymph node metastases. [ABSTRACT FROM AUTHOR]

In this study, a novel strategy is proposed to prepare eco-friendly flame-retardant cotton fabrics, where chloroacetic acid (MCA) and L-glutamic acid (L-Glu) are used as raw materials to enhance the chelation ability between carboxyl groups (-COO-) and calcium ions (Ca2+). The morphological and structural characterizations of the prepared cotton fabrics indicate that the three free hydroxy groups (2, 3, 6) in the cellulose macromolecule are chemically modified to graft a large number of carboxyl groups, and Ca2+ ions are successfully chelated on the surface of cotton fabric. The thermal stability of cotton fabrics is greatly improved in both air and nitrogen atmosphere. The residual mass of flame-retardant cotton fabric (COT-Glu–Ca) is much higher than that of original cotton fabric, increasing from 0.03% to 5.6% in air and from 8.1% to 28.2% in N2, respectively. At the same time, the limiting oxygen index (LOI) of COT-Glu–Ca fabric is as high as 33.6%. The prepared flame-retardant cotton fabric can undergo vertical combustion tests with a char length of only 53 mm, and afterflame and afterglow are not observed, which proves that the grafted cotton fabric had a good flame retardancy due to a series of modifications and adsorption of Ca2+ ions. The properties of the cotton fabric, including tensile strength, whiteness, and moisture absorption, are all retained at a satisfactory level. Overall, this study provides a promising strategy for manufacturing eco-friendly, phosphorus-free, halogen-free, and fire-resistant cotton fabrics with enhanced metal ion chelation ability. [ABSTRACT FROM AUTHOR]

Efficient pretreatment of wheat straw (WS) under mild conditions facilitates its further enzymatic hydrolysis and conversion. Three pretreatment processes with mild conditions including formic acid pretreatment (FAP), sodium chlorite pretreatment (SCP), and alkaline hydrogen peroxide (AHP) pretreatment were investigated in this study. The chemical components of WS before and after pretreatment were compared, and the samples were characterized by scanning electron microscopy, X-ray diffraction, and Fourier transform infrared spectroscopy. The lignin removal by FAP, SCP, and AHP pretreatment was 55.79%, 99.33%, and 94.97%, and the enzymatic hydrolysis yields (EHY) were 68.03%, 75.52%, and 90.76%, respectively. The results showed that AHP pretreatment had a better performance on enzyme accessibility thus improving the EHY. Meanwhile, lignin can be separated from the AHP pretreatment liquid, which helps to improve the economics of the process. The effects of enzymes and additives on enzymatic hydrolysis were further optimized by response surface methodology. Under the conditions of 20.37 FPU/g cellulase, 32.14 IU/g xylanases, and 19.15 mg/g Tween 80, the experimental result showed that the maximum EHY was 94.15%, which was close to the predicted EHY (96.19%). The experiments on fed-batch mode after AHP pretreatment with high-solid loadings (20% w/v) were conducted, and the EHY reached 86.05%. These results contributed to improving the economic feasibility of WS pretreatment and enzymatic hydrolysis process. [ABSTRACT FROM AUTHOR]

Post‐stroke depression is a common complication that imposes significant burdens and challenges on patients. The occurrence of depression is often associated with frontal lobe hemorrhage, however, current understanding of the underlying mechanisms remains limited. Here, the pathogenic mechanisms associated with the circuitry connectivity, electrophysiological alterations, and molecular characteristics are investigated related to the frontal lobe in adult male mice following unilateral injection of blood in the medial prefrontal cortex (mPFC). It is demonstrated that depression is a specific neurological complication in the unilateral hematoma model of the mPFC, and the ventral tegmental area (VTA) shows a higher percentage of connectivity disruption compared to the lateral habenula (LHb) and striatum (STR). Additionally, long‐range projections originating from the frontal lobe demonstrate higher damage percentages within the connections between each region and the mPFC. mPFC neurons reveal reduced neuronal excitability and altered synaptic communication. Furthermore, transcriptomic analysis identifies the involvement of the Janus Kinase‐Signal Transducer and Activator of Transcription (JAK‐STAT) signaling pathway, and targeting the JAK‐STAT pathway significantly alleviates the severity of depressive symptoms. These findings improve the understanding of post‐hemorrhagic depression and may guide the development of efficient treatments. [ABSTRACT FROM AUTHOR]

The optical coordinate transformation based on the ray model can flexibly and efficiently complete the manipulation of complex light fields through a pair of phase plates, and is successfully used to sort orbital angular momentum (OAM) of light. Generally, the phase modulation required by the optical coordinate transformation is derived analytically under the paraxial approximation, however, this would induce the phase modulation error, and thus worsen the quality of the transformed beam. Here, a non‐paraxial design for the spiral coordinate transformation is proposed, where the phase of the unwrapper is obtained by numerically solving the partial differential equations on the coordinate mapping and the phase corrector is obtained by the angular spectrum diffraction integral method. Due to more accurate phase modulation, the non‐paraxial spiral transformation effectively improves the beam quality, and realizes the demultiplexing of OAM modes with higher efficiency and lower cross‐talk. The proposed approach is verified with a compact metasurface‐based optical vortex mode sorter, which is extensible toward OAM‐based multi‐mode systems involving classical and quantum optical information processing. [ABSTRACT FROM AUTHOR]

As a vital part of smart city development, smart community development is in full swing, aiming to improve residents' sense of safety (RSS). Most research focuses on the technological innovation and infrastructure construction of smart communities; few studies have evaluated smart community development from the perspective of the RSS. Thus, this paper aims to propose a system of evaluation indicators for assessing the RSS of smart community development. After the relevant evaluation indicators were identified, an evaluation method was proposed using the CRITIC-FCE approach. To validate the feasibility of this method, 31 smart communities in China were selected in this study. The results showed the following: (1) The indicator of the highest weight was 'cultural activities for the elderly', while 'overall design' had the lowest weight, highlighting the importance of community services in enhancing the RSS of smart community development. (2) The selected cities and communities achieved a generally high level in the RSS of smart community development, and some differences were observed among them. (3) Emergency services and property services play an important role in enhancing the RSS of smart community development, with communities excelling in these areas, achieving higher overall rankings. Conversely, the score of pension service was relatively low, which is a common problem in the evaluation results, reflecting the shortcomings of the current smart community in providing pension service. Consequently, several strategies are suggested to enhance the RSS of smart community development, such as building an emergency information system based on advanced technology, establishing mobile and Internet of Things-based emergency assistance services for the elderly, and enhancing the maintenance of public facilities. This research enriches the knowledge of RSS and provides guidance for further research for the RSS of smart community development. [ABSTRACT FROM AUTHOR]

In order to develop effective strategies to address noise annoyance, it is essential to develop an explanatory model of the psychological mechanism(s) by which noise becomes annoying. Two online studies were conducted in which a total of 193 participants completed speech perception tasks with varying degrees of background noise. Signal-to-noise ratio levels ranged from −2 to −10 dB. The crucial manipulation in both experiments concerned participants' sense of control over the noise level in the task. Dependent measures were task performance, a self-reported measure of frustration with the task, and self-reported sensitivity (trait) to noise. Results showed small but significant effects of noise sensitivity and sense of control on subjective frustration. In both experiments, more noise-sensitive individuals expressed greater frustration than did those reporting less noise sensitivity. In addition, in experiment 2 there was a significant interaction between sense of control and noise level. Listeners under the higher noise-level conditions expressed relatively similar degrees of frustration irrespective of their sense of control, while those under the lower noise-level condition showed lower frustration with greater sense of control. Results support Stallen's [(1999). Noise Health 1(3), 69–79] theoretical framework of noise annoyance, but also suggest the need for further research under more ecologically plausible conditions. [ABSTRACT FROM AUTHOR]

Propose a novel business model for parcel fulfillment that benefits all stakeholders. Develop three analytics methods to support the business model. Cainiao proposes a novel business model that consolidates parcels ordered by the same consumer from one or more merchants during the fulfillment process. The objective is to increase delivery speed without incurring additional costs for merchants and consumers. To support this business model, we develop three analytics methods: (1) a two-phase online optimization algorithm to determine which of a consumer's parcels constitute consolidated parcels and to select the shipping methods for the consolidated parcels that maximize the gains while satisfying the constraints (e.g., the 10-day on-time delivery rate of all consumer parcels created within a specified time should reach a target value), (2) a statistical method to calculate delivery time distributions to obtain on-time delivery rates within different days, and (3) a simulation-based optimization method to guide managers in setting appropriate target values for the constraints. In addition, we prove that the expected optimality gap and constraint violation of the online optimization algorithm have sublinear bounds, and we validate its effectiveness and robustness by testing instances generated from real-world data. Since 2020, Cainiao has utilized the system to consolidate numerous parcels shipped from China to more than 50 countries and regions, thus saving tens of millions of dollars annually and reducing delivery time by at least 50%. History: This paper has been accepted for the INFORMS Journal on Applied Analytics Special Issue—2023 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research. [ABSTRACT FROM AUTHOR]

Simple Summary: Diapause is a state in which insects respond to environmental changes, leading to developmental stagnation, which is crucial in the life history of insects. miRNA regulates the expression of genes after transcription and participates in the regulation of important biological processes of insect growth and development. In this study, we screened differentially expressed miRNAs (DEMs) in non-diapause/diapause and diapause/non-diapause comparison groups of Ostrinia furnacalis and predicted their target genes. The expression patterns of key target genes Kr-h, JHE, JHEH, FOXO, Cry, and Per in diapause-related metabolic pathways at different stages of diapause were opposite to those of miRNAs, suggesting their regulatory roles in the diapause process. This study improves the scientific understanding of diapause in O. furnacalis; the learning can be applied to other insects. microRNAs (miRNAs) function as vital regulators of diapause in insects through their ability to post-transcriptionally suppress target gene expression. In this study, the miRNA of Ostrinia furnacalis, an economically important global crop pest species, was characterized. For the included analyses, 9 small RNA libraries were constructed using O. furnacalis larvae in different diapause states (non-diapause, ND; diapause, D; diapause-termination, DT). The results identified 583 total miRNAs, of which 256 had previously been identified, whereas 327 were novel. Furthermore, comparison analysis revealed that 119 and 27 miRNAs were differentially expressed in the D vs. ND and DT vs. D, respectively. Moreover, the expression patterns of their miRNAs were also analyzed. GO and KEGG analysis of the target genes of differentially expressed miRNAs highlighted the importance of these miRNAs as diapause regulators in O. furnacalis, especially through metabolic processes, endocrine processes, 20-hydroxyecdysone, and circadian clock signaling pathways. In summary, this study highlighted the involvement of specific miRNAs in the control of diapause in O. furnacalis. To the best of our knowledge, this is the first study to identify miRNA expression patterns in O. furnacalis, thereby providing reference and novel evidence enhancing our current understanding of how small RNAs influence insect diapause. [ABSTRACT FROM AUTHOR]

Background: The number of dissected lymph nodes is closely related to the prognosis of patients with non-small cell lung cancer. This study explored the optimal number of right paratracheal lymph nodes dissected in right upper non-small cell lung cancer patients and its impact on prognosis. Methods: Patients who underwent radical surgery for right upper lobe cancer between 2012 and 2017 were retrospectively enrolled. The optimal number of right paratracheal lymph nodes and the relationship between the number of dissected right paratracheal lymph nodes and the prognosis of right upper non-small cell lung cancer were analysed. Results: A total of 241 patients were included. The optimal number of dissected right paratracheal lymph nodes was 6. The data were divided according to the number of dissected right paratracheal lymph nodes into groups RPLND + (≥ 6) and RPLND- (< 6). In the stage II and III patients, the 5-year overall survival rates were 39.0% and 48.2%, respectively (P = 0.033), and the 5-year recurrence-free survival rates were 32.8% and 41.8%, respectively (P = 0.043). Univariate and multivariate analyses revealed that among the stage II and III patients, ≥ 6 right paratracheal dissected lymph nodes was an independent prognostic factor for overall survival (HR = 0.53 95% CI 0.30–0.92 P = 0.025) and recurrence-free survival (HR = 1.94 95% CI 1.16–3.24 P = 0.011). Conclusions: Resection of 6 or more right paratracheal lymph nodes may be associated with an improved prognosis in patients with right upper non-small cell lung cancer, especially in patients with stage II or III disease. [ABSTRACT FROM AUTHOR]

To explore the effect of different levels of systolic blood pressure (SBP) control on new-onset chronic kidney disease in hypertension multimorbidity. The hypertensive patients with multimorbidity information were enrolled from the Kailuan Study. The isolated hypertension patients undergoing physical examination during the same period were selected in a 1:1 ratio as control. Finally, 12,897 participants were divided into six groups: Group SBP < 110 mmHg, Group 110 ≤ SBP < 120 mmHg, Group 120 ≤ SBP < 130 mmHg, Group 130 ≤ SBP < 140 mmHg, Group 140 ≤ SBP < 160 mmHg and Group SBP ≥ 160 mmHg. The outcomes were new-onset CKD, new onset proteinuria, decline in eGFR and high or very high risk of CKD. Cox proportional hazards regression was used to examine the hazard ratios (HRs) of the outcomes among SBP levels. When 110 ≤ SBP < 120 mmHg, the incidence density of new-onset CKD, new onset proteinuria and decline in eGFR were 59.54, 20.23 and 29.96 per 1000 person-years, respectively. Compared to this group, the HR (95% CI) values for the risk of new-onset CKD from Group SBP < 110 mmHg to Group SBP ≥ 160 mmHg were 1.03 (0.81–1.32), 1.04 (0.91–1.19), 1.09 (0.95–1.16), 1.16 (1.02–1.21) and 1.18 (1.04–1.24), respectively. For patients over 65 years old, the risks of outcomes were increased when SBP < 120 mmHg. The lowest HR of high or very high risk of CKD for participants with or without multimorbidity occurred when 120 ≤ SBP < 130 mmHg. The HR of new-onset CKD in hypertension multimorbidity was lowest at 110–120 mmHg. The optimal SBP level was between 120 and 130 mmHg for individuals with high or very high risk of CKD. For patients over 65 years old, the low limit of target BP is advised to be not lower than 120 mmHg. [ABSTRACT FROM AUTHOR]

Structural color, arising from the interaction between nanostructures and light, has experienced rapid development in recent years. However, high-order Mie resonances in dielectric materials often induce unnecessary sub-peaks, particularly at shorter wavelengths, reducing the vibrancy of colors. To address this, we have developed a multilayer dielectric metasurface based on silicon-rich silicon nitride (SRN), achieving expanded color gamut through precise refractive index matching and suppression of high-order resonances. This strategy introduces more design dimensions and can reduce the complexity of material deposition. It enables the generation of vibrant colors in a 3 × 3 array, with a resolution of approximately 25,400 dpi, demonstrating its potential applications in displays. [ABSTRACT FROM AUTHOR]

The conversion of biomass to chemicals/fuels has emerged as a valuable solution that offers both environmental and economic benefits, with the transformation of carbohydrate into formic acid garnering escalating scholar interest. However, the relative limited efficiency of catalyzed-oxidation or expensive cost of H2O2 and alkali in wet hydrothermal oxidation impose limitations on industrialization. This paper proposed a new idea for formic acid production by O2-H2O2 co-oxidation of carbohydrate. A two-step reaction method was developed, where the initial step is engineered to regulate the carbon chain cleavage of carbohydrates to augment the production of active intermediate. Oxygen was employed in the subsequent step as effective oxidant through free radical mechanism, resulting in a formic acid yield of 82.6%. Theoretical calculation, intermediates detection and real time EPR confirmed the reaction mechanism. Finally, the universality of the reaction was verified by using disaccharides and polysaccharides such as cellulose as substrates. [ABSTRACT FROM AUTHOR]

Periodontal disease ranks third among noncommunicable illnesses, behind cancer and cardiovascular disease, and is closely related to the occurrence and progression of various systemic diseases. However, elucidating the processes of periodontal disease and promoting periodontal bone regeneration remains a challenge. Here, quercetin is demonstrated to reduce the oxidative stress state of orofacial mesenchymal stem cells (OMSCs) in vitro and to affect the osteogenic growth of OMSCs through molecular mechanisms that mediate the m6A change in Per1. Nevertheless, the limited therapeutic efficacy of systemic medication and the limitations of local medication resulting from the small, moist, and highly dynamic periodontal environment make it challenging to treat periodontal tissues with medication. Herein, a biosafe injectable hydrogel drug‐controlled delivery system is constructed as a bone‐enhancing factory and loaded with quercetin to treat oxidative stress injury in periodontal tissues. This drug‐carrying system made up of nanoscale bioglass microspheres and a light‐cured injectable hydrogel, allows effective drug particle loading and cementation in the dynamic and moist periodontal environment. Furthermore, the system demonstrates the ability to stimulate OMSCs osteogenic differentiation in a Per1‐dependent manner, which ultimately promotes periodontal bone repair, suggesting that this system has potential for clinical periodontal therapy. [ABSTRACT FROM AUTHOR]

MDS1 and EVI1 complex locus (MECOM), a transcription factor encoding several variants, has been implicated in progression of ovarian cancer. The function of regulatory regions in regulating MECOM expression in ovarian cancer is not fully understood. In this study, MECOM expression was evaluated in ovarian cancer cell lines treated with bromodomain and extraterminal (BET) inhibitor JQ-1. Oncogenic phenotypes were assayed using assays of CCK-8, colony formation, wound-healing and transwell. Oncogenic phenotypes were estimated in stable sgRNA-transfected OVCAR3 cell lines. Xenograft mouse model was assayed via subcutaneous injection of enhancer-deleted OVCAR3 cell lines. The results displayed that expression of MECOM is downregulated in cell lines treated with JQ-1. Data from published ChIP-sequencing (H3K27Ac) in 3 ovarian cancer cell lines displayed a potential enhancer around the first exon. mRNA and protein expression were downregulated in OVCAR3 cells after deletion of the MECOM enhancer. Similarly, oncogenic phenotypes both in cells and in the xenograft mouse model were significantly attenuated. This study demonstrates that JQ-1 can inhibit the expression of MECOM and tumorigenesis. Deletion of the enhancer activity of MECOM has an indispensable role in inhibiting ovarian cancer progress, which sheds light on a promising opportunity for ovarian cancer treatment through the application of this non-coding DNA deletion. [ABSTRACT FROM AUTHOR]

Objective: Several antiseizure medications (ASMs) have been approved for the treatment of focal epilepsy. However, there is a paucity of evidence on direct comparison of ASMs. We evaluated the comparative efficacy and safety of all approved add‐on ASMs for the treatment of focal epilepsy using network meta‐analysis. Methods: Data through extensive literature search was retrieved from PubMed, Embase, Cochrane, and ClinicalTrial.gov databases using predefined search terms from inception through March 2023. PRISMA reporting guidelines (CRD42023403450) were followed in this study. Efficacy outcomes assessed were ≥50%, ≥75%, and 100% responder rates. Patient retention rate and safety outcomes such as overall treatment‐emergent adverse events (TEAEs) and individual TEAEs were assessed. "Gemtc" 4.0.4 package was used to perform Bayesian analysis. Outcomes are reported as relative risks (RRs) and 95% confidence interval (CI). Results: Literature search retrieved 5807 studies of which, 75 studies were included in the analysis. All ASMs showed significantly higher ≥50% responder rate compared with placebo. Except the ≥75% seizure frequency reduction for zonisamide (2.23; 95% CI: 1.00–5.70) and 100% for rufinamide (2.03; 95% CI: 0.54–11.00), all other interventions showed significantly higher ≥75% and 100% responder rates compared with placebo. Among treatments, significantly higher 100% responder rate was observed with cenobamate compared to eslicarbazepine (10.71; 95% CI: 1.56–323.9) and zonisamide (10.63; 95% CI: 1.37–261.2). All ASMs showed a lower patient retention rate compared to placebo, with the least significant value observed for oxcarbazepine (0.77; 95% CI: 0.7–0.84). Levetiracetam showed a lower risk of incidence (1.0; 95%CI: 0.94–1.1; SUCRA: 0.885067) for overall TEAE compared with other medications. Significance: All approved ASMs were effective as add‐on treatment for focal epilepsy. Of the ASMs included, cenobamate had the greatest likelihood of allowing patients to attain seizure freedom. Plain Language Summary: This article compares the efficacy and safety of antiseizure medications (ASMs) currently available to neurologists in the treatment of epileptic patients. Several newer generation ASMs that have been developed may be as effective or better than the older medications. We included 75 studies in the analysis. In comparison, all drugs improved ≥50%, ≥75% and 100% responder rates compared to control, except for Zonisamide and Rufinamide in the ≥75% and 100% responder rate categories. Retention of patients undergoing treatment was lower in drugs than placebo. All drugs were tolerated, the levetiracetam showed the best tolerability. Cenobamate more likely help completely to reduce seizures. [ABSTRACT FROM AUTHOR]

Nuclear hormone receptors (NHRs) are a family of ligand-regulated transcription factors that control key aspects of development and physiology. The regulation of NHRs by ligands derived from metabolism or diet makes them excellent pharmacological targets, and the mechanistic understanding of how NHRs interact with their ligands to regulate downstream gene networks, along with the identification of ligands for orphan NHRs, could enable innovative approaches for cellular engineering, disease modeling and regenerative medicine. We review recent discoveries in the identification of physiologic ligands for NHRs. We propose new models of ligand-receptor co-evolution, the emergence of hormonal function and models of regulation of NHR specificity and activity via one-ligand and two-ligand models as well as feedback loops. Lastly, we discuss limitations on the processes for the identification of physiologic NHR ligands and emerging new methodologies that could be used to identify the natural ligands for the remaining 17 orphan NHRs in the human genome. [ABSTRACT FROM AUTHOR]

The association between ambient temperature and mental health has been explored previously. However, research on the psychological effect of temperature in vulnerable groups and neighborhood scales have been scarce. Based on the survey and temperature data collected from 20 neighborhoods in Guangzhou, China, this study estimated the association between ambient temperature and community mental health among the elderly, adopting a fixed-effects methodology. According to this empirical analysis, compared to a comfortable temperature range of 20℃–25℃, measures of worse mental health among elderly were significant in high and low temperatures with increases in negative outcomes observable at both ends of the temperature range, leading to the U-shaped relationship. Second, the association between ambient temperature and worse mental health was found in the subcategories of gender, income, and symptom events. Specifically, from the hot temperature aspect, elderly males were more sensitive than elderly females. The effect on the low was far more than on the middle-high income group, and the probability of each symptom of the elderly's mental health significantly increased. From the cool temperature aspect, the temperature in the range of 5ºC–10ºC was significantly associated with the probability of some symptoms (feeling down, not calm, downheartedness, and unhappiness) and the middle-high income group. Our research enriches the empirical research on ambient temperature and mental health from a multidisciplinary perspective and suggests the need for healthy aging and age-friendly planning in Chinese settings. [ABSTRACT FROM AUTHOR]

Introduction: A spot sign on computed tomography angiography (CTA) scan is a widely recognized radiographic indicator of primary intracerebral hemorrhage (ICH) used to predict early hematoma expansion. Nonetheless, recent multicenter studies have indicated that its predictive value for hematoma expansion is not as significant as previously stated. Therefore, identifying the reasons for the poor performance of these studies is imperative. Case presentation: A 48-year-old man presented with a 9-hour history of alalia and right limb hemiplegia. Noncontrast computed tomography (CT) revealed a hematoma in the left frontal lobe, while CTA showed a spot sign within the hematoma, leading to a diagnosis of frontal lobe hemorrhage. During the surgical procedure, a blood clot was removed, revealing the presence of 3 mm of saccular tissue resembling an aneurysm. The process of exposing its complete form resulted in its rupture and bleeding. The location of this tissue at the top of the hematoma cavity corresponded to the CTA spot sign. Pathological examination confirmed that the characteristics of the tissue wall were consistent with those of a pseudoaneurysm. Conclusion: This case suggests that more stringent identification criteria should be established in studies predicting ICH expansion using the spot sign on CTA to differentiate and exclude pseudoaneurysms, thereby improving the accuracy of predicting early hematoma expansion using the CTA spot sign. [ABSTRACT FROM AUTHOR]

Rational modulation of surface reconstruction in the oxygen evolution reaction (OER) utilizing defect engineering to form efficient catalytic activity centers is a topical interest in the field of catalysis. The introduction of point defects has been demonstrated to be an effective strategy to regulate the electronic configuration of electrocatalysts, but the influence of more complex planar defects (e.g., twins and stacking faults), on their intrinsic activity is still not fully understood. This study harnesses ultrasonic cavitation for rapid and controlled introduction of different types of defects in the FeCoNi/FeAl2O4 hybrid coating, optimizing OER catalytic activity. Theoretical calculations and experiments demonstrate that the different defects optimize the coordination environment and facilitate the activation of surface reconstruction into true catalytic activity centers at lower potentials. Moreover, it demonstrates exceptional durability, maintaining stable oxygen production at a high current density of 300 mA cm−2 for over 120 hours. This work not only presents a novel pathway for designing advanced electrocatalysts but also deepens our understanding of defect‐engineered catalytic mechanisms, showcasing the potential for rapid and efficient enhancement of electrocatalytic performance. [ABSTRACT FROM AUTHOR]

Rational modulation of surface reconstruction in the oxygen evolution reaction (OER) utilizing defect engineering to form efficient catalytic activity centers is a topical interest in the field of catalysis. The introduction of point defects has been demonstrated to be an effective strategy to regulate the electronic configuration of electrocatalysts, but the influence of more complex planar defects (e.g., twins and stacking faults), on their intrinsic activity is still not fully understood. This study harnesses ultrasonic cavitation for rapid and controlled introduction of different types of defects in the FeCoNi/FeAl2O4 hybrid coating, optimizing OER catalytic activity. Theoretical calculations and experiments demonstrate that the different defects optimize the coordination environment and facilitate the activation of surface reconstruction into true catalytic activity centers at lower potentials. Moreover, it demonstrates exceptional durability, maintaining stable oxygen production at a high current density of 300 mA cm−2 for over 120 hours. This work not only presents a novel pathway for designing advanced electrocatalysts but also deepens our understanding of defect‐engineered catalytic mechanisms, showcasing the potential for rapid and efficient enhancement of electrocatalytic performance. [ABSTRACT FROM AUTHOR]

Patterns on polymers usually have different mechanical properties as those of the substrates, causing deformation or distortion and even detachment of the patterns from the polymer substrates. Herein, we present a wrinkling strategy, which utilizes photolithography to define the area of stress distribution by light-induced physical crosslinking of polymers and controls diffusion of residual solvent to redistribute the stress and then offers the same material for patterns as substrate by thermal polymerization, providing uniform wrinkles without worrying about force relaxation. The strategy allows the recording and hiding of up to eight switchable images in one place that can be read by the naked eye without crosstalk, applying the wrinkled polymer for optical anti-counterfeiting. The wrinkled polyimide film was also utilized to act as a substrate for the creation of fine copper circuit by a full-additive process. It generates flexible integrated circuit (IC) carrier board with copper wire density of 400% higher than that of the state-of-the-art in industry while fulfilling the standards for industrialization. Current wrinkling processes for pattern formation cannot be easily controlled, resulting in deformation or detachment of patterns from substrates. Here, Zhong et al. report a wrinkling strategy for creating patterned structures with long-range order and resistant to force relaxation. [ABSTRACT FROM AUTHOR]

Flexible organic light‐emitting devices (OLEDs) are emerging as a cutting‐edge technology that revolutionizes displays and lighting panels to be lightweight, bendable, foldable, and even stretchable. However, they suffer from the poor light outcoupling efficiency due to the presence of various optical losses. Herein, a novel method of optical manipulation is proposed, which involves incorporating light‐scattering titanium oxide (TiO2) nanoparticles (NPs) into flexible substrates, along with imprinting random micro‐lens arrays (RMLA) at the bottom of the substrates. Adopting the light outcoupling structures, the flexible single white OLEDs demonstrate a substantial improvement of 95.6% in the external quantum efficiency (EQE) compared to conventional flexible OLEDs, while maintaining a desirable spectral profile without any distortion. To further improve the optoelectronic performance, the light outcoupling structures are adopted in flexible tandem white OLEDs with two emission units, the maximum current efficiency is 147.8 cd A−1, and the maximum EQE comes to 46.2%, which is 1.74 times higher than that of the flexible single OLEDs with the same light outcoupling structures. This work offers a convenient way to design flexible light extraction substrates for efficient wearable electronics. [ABSTRACT FROM AUTHOR]

In stand-alone power systems, technical, economic, and environmental (TEE) assessment of hybrid energy systems under uncertainty is an important issue. This paper focuses on the TEE assessment of a stand-alone hybrid energy system composed of photovoltaic (PV) and diesel generator (DG) with/without battery energy storage (BS) in remote islands in China. So, determining the optimal sizes of PV and DG with/without BS for economic, reliable, and efficient operation of a hybrid power system in a microgrid is important. For this goal, a modified swarm intelligence algorithm is used to optimize, techno-economic feasibility and avoid potential CO2 emission. To demonstrate the effectiveness of the modified swarm intelligence algorithm, it is compared with the standard swarm intelligence method and simple simulated annealing method in terms of operational cost reduction and power loss reduction. The aim of the optimization is to minimize the cost of a stand-alone solar power system based on diesel engine with/without battery energy storage system by optimal determination of the load uncertainty and CO2 emission. The optimal results are developed further by performing sensitivity analysis, such as the effect of the fuel cost and the penalty cost of CO2 emission. Over the case study, simulation results show that the proposed algorithm obtains more promising results in terms of TEE aspects. The reliability, low carbon, and cost-effectiveness of stand-alone solar power systems based on diesel engine with battery energy storage system can be easily calculated using the correlations derived in this analysis. The resulting cost of energy is in the range of 0.2845 to 0.6492 $/kWh. [ABSTRACT FROM AUTHOR]

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease marked by inflammatory cell infiltration and joint damage. The Chinese government has approved the prescription medication sinomenine (SIN), an effective anti-inflammation drug, for treating RA. This study evaluated the possible anti-inflammatory actions of SIN in RA based on bioinformatics analysis and experiments. Six microarray datasets were acquired from the gene expression omnibus (GEO) database. We used R software to identify differentially expressed genes (DEGs) and perform function evaluations. The CIBERSORT was used to calculate the abundance of 22 infiltrating immune cells. The weighted gene co-expression network analysis (WGCNA) was used to discover genes associated with M1 macrophages. Four public datasets were used to predict the genes of SIN. Following that, function enrichment analysis for hub genes was performed. The cytoHubba and least absolute shrinkage and selection operator (LASSO) were employed to select hub genes, and their diagnostic effectiveness was predicted using the receiver operator characteristic (ROC) curve. Molecular docking was undertaken to confirm the affinity between the SIN and hub gene. Furthermore, the therapeutic efficacy of SIN was validated in LPS-induced RAW264.7 cells line using Western blot and Enzyme-linked immunosorbent assay (ELISA). The matrix metalloproteinase 9 (MMP9) was identified as the hub M1 macrophages-related biomarker in RA using bioinformatic analysis and molecular docking. Our study indicated that MMP9 took part in IL-17 and TNF signaling pathways. Furthermore, we found that SIN suppresses the MMP9 protein overexpression and pro-inflammatory cytokines, including tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in the LPS-induced RAW264.7 cell line. In conclusion, our work sheds new light on the pathophysiology of RA and identifies MMP9 as a possible RA key gene. In conclusion, the above findings demonstrate that SIN, from an emerging research perspective, might be a potential cost-effective anti-inflammatory medication for treating RA. [ABSTRACT FROM AUTHOR]

This article discusses the seismic isolation design and analysis of a complex medical building in China. The study aims to reduce seismic damage and improve the post-earthquake resilience of the building. The building adopts a frame-shear wall structural system and utilizes various types of seismic isolation bearings. The effectiveness of the seismic design is verified through calculations of natural vibration periods and seismic response. The study concludes that the seismic isolation design can significantly reduce the seismic response of the building and meet current code requirements. [Extracted from the article]

Aims: The extent of perihematomal edema following intracerebral hemorrhage (ICH) significantly impacts patient prognosis, and disruption of the blood–brain barrier (BBB) exacerbates perihematomal edema. However, the role of peripheral IL‐10 in mitigating BBB disruption through pathways that link peripheral and central nervous system signals remains poorly understood. Methods: Recombinant IL‐10 was administered to ICH model mice via caudal vein injection, an IL‐10‐inhibiting adeno‐associated virus and an IL‐10 receptor knockout plasmid were delivered intraventricularly, and neurobehavioral deficits, perihematomal edema, BBB disruption, and the expression of JAK1 and STAT3 were evaluated. Results: Our study demonstrated that the peripheral cytokine IL‐10 mitigated BBB breakdown, perihematomal edema, and neurobehavioral deficits after ICH and that IL‐10 deficiency reversed these effects, likely through the IL‐10R/JAK1/STAT3 signaling pathway. Conclusions: Peripheral IL‐10 has the potential to reduce BBB damage and perihematomal edema following ICH and improve patient prognosis. [ABSTRACT FROM AUTHOR]

In this paper, an online energy-saving control allocation strategy based on self-updating loss estimation for multi-motor drive systems is proposed, where the impact of variations in motor parameters and distribution coefficients is considered. Firstly, a drive system model for multi-motor drive systems incorporating iron loss in permanent magnet synchronous motor (PMSM) is established. Then, a self-updating PMSM loss estimation method based on dynamic torque–current mapping is proposed. The torque–current mapping is initially identified based on the conv-fusion curve, and iteratively updated by optimal estimation. Subsequently, an online control allocation method based on line search is proposed, which mitigates the adverse effects caused by variations in distribution coefficients and reduces the total motor loss. Finally, the effectiveness of the proposed strategy is verified on the hardware-in-the-loop (HIL)-based platform. The results demonstrate that the strategy effectively enhances energy efficiency while maintaining the original control performance of the system. [ABSTRACT FROM AUTHOR]

Purpose: Iron-bearing magnetic minerals in the sediments of the water-level fluctuation zone (WLFZ) in large reservoirs play critical roles in the burial and release of organic carbon and pollutants. This study aims to reveal the spatial distribution of magnetic minerals across different elevations and reaches within the WLFZ of the Three Gorges Reservoir (TGR), the largest reservoir in the world, and their links to sediment provenance and hydrodynamic conditions. This study will provide a fundamental basis for future investigations in the roles of magnetic minerals in the circulation processes of pollutants and organic carbon within the WLFZ of fluvial-reservoir systems. Materials and methods: ~ 300 sediment samples and nearby side-slope soils were collected from various altitudes within the WLFZ at ten different sites of the TGR. The magnetic properties of these sediments and soils were examined using environmental magnetism. Additionally, previously reported data on magnetic properties of suspended sediments from upstream rivers flowing into the TGR were assembled. Nearby side-slope soils and suspended samples were used to represent magnetic properties of potential sources for the sediments within the WLFZ. Results and discussion: Our findings reveal that magnetite/maghemite and hematite particles dominate the sediments within the WLFZ of the TGR. Relatively higher concentration of hematite particles in the upper part (> 165 m) of WLFZ mainly originates from or are nearby side-slope soils, whereas higher concentration of magnetite/maghemite particles in the lower part of WLFZ is primarily due to sediment supply from upstream of the Yangtze River. The dominance of coarser magnetite/maghemite within the WLFZ of the upper reach of the TGR, from Jiangjin district to Fuling district, is due to strong water flow velocity. An increase in the concentration of nanosized fine-grained magnetic particles within the WLFZ of the middle and lower reaches of the TGR can be attributed to a combination of reduced water dynamics and intense regional soil erosion of nearby side slopes. Conclusions: Our findings indicate that the concentration and grain size of magnetic minerals exhibit spatial variations within the WLFZ of reservoirs under the influences of sediment provenance and hydrodynamics. These findings provide fundamental insights on future exploration into the crucial roles of iron-bearing magnetic minerals in the accumulation, migration, and transformation of pollutants and organic carbon within the WLFZ of reservoirs and their response to changes in sediment sources and water dynamics. [ABSTRACT FROM AUTHOR]

6-Hydroxydopamine (6-OHDA) is a classic neurotoxin that has been widely used in Parkinson's disease research. 6-OHDA can increase intracellular reactive oxygen species (ROS) and can cause cell damage, which can be attenuated with (-)-Epigallocatechin-3-gallate (EGCG) treatment. However, the mechanism by which EGCG alters the 6-OHDA toxicity remains unclear; In this study, we found 6-OHDA (25 μM) alone increased intracellular ROS concentration in N27 cells, which was attenuated by pretreating with EGCG (100 μM). We evaluated the intracellular oxidative damage by determining the level of thiobarbituric acid reactive substances (TBARS) and protein carbonyl content. 6-OHDA significantly increased TBARS by 82.7% (P <.05) and protein carbonyl content by 47.8 (P <.05), compared to the control. Pretreatment of EGCG decreased TBARS and protein carbonyls by 36.4% (P <.001) and 27.7% (P <.05), respectively, compared to 6-OHDA alone treatment. Antioxidant effect was tested with E2-related factor 2 (Nrf2), heme oxygenase-1(HO-1) and peroxisome-proliferator activator receptor γ (PPARγ) expression. 6-OHDA increased Nrf2 expression by 69.6% (P <.001), HO-1 by 173.3% (P <.001), and PPARγ by 122.7% (P <.001), compared with untreatment. EGCG pretreatment stabilized these alterations induced by 6-OHDA. Our results suggested that the neurotoxicity of 6-OHDA in N27 cells was associated with ROS pathway, whereas pretreatment of EGCG suppressed the ROS generation and deactivated the Nrf2/HO-1 and PPARγ expression. [ABSTRACT FROM AUTHOR]

Background: Most subarachnoid hemorrhage (SAH) patients have no obvious hematoma lesions but exhibit blood–brain barrier dysfunction and vasogenic brain edema. However, there is a few days between blood‒brain barrier dysfunction and vasogenic brain edema. The present study sought to investigate whether this phenomenon is caused by endothelial injury induced by the acute astrocytic barrier, also known as the glial limitans. Methods: Bioinformatics analyses of human endothelial cells and astrocytes under hypoxia were performed based on the GEO database. Wild-type, EGLN3 and PKM2 conditional knock-in mice were used to confirm glial limitan formation after SAH. Then, the effect of endothelial EGLN3-PKM2 signaling on temporal and spatial changes in glial limitans was evaluated in both in vivo and in vitro models of SAH. Results: The data indicate that in the acute phase after SAH, astrocytes can form a temporary protective barrier, the glia limitans, around blood vessels that helps maintain barrier function and improve neurological prognosis. Molecular docking studies have shown that endothelial cells and astrocytes can promote glial limitans-based protection against early brain injury through EGLN3/PKM2 signaling and further activation of the PKC/ERK/MAPK signaling pathway in astrocytes after SAH. Conclusion: Improving the ability to maintain glial limitans may be a new therapeutic strategy for improving the prognosis of SAH patients. [ABSTRACT FROM AUTHOR]

Commutation failures in line commuted converter-based high voltage direct current (LCC-HVDC) transmission systems leads to an increase in the converter bus voltage of the rectifier station, thus resulting in AC transient overvoltage in the sending-end grid. The transient overvoltage could lead to the disconnection of renewable energy generation and threaten the stable operation of the sending-end grid. However, the influences of the coupling between AC and DC systems caused by the interaction between the active and reactive power of the sending-end grid, the AC bus voltage of the rectifier station, and the DC current are ignored. The AC transient overvoltage cannot be accurately suppressed. Therefore, in this study, the transient voltage characteristics of the rectifier station under a commutation failure of the inverter station are analyzed. The influence of LCC-HVDC control on the AC bus voltage of a rectifier station through the active and reactive power of the rectifier station is analyzed. A dynamic model of the AC bus voltage of a rectifier station under an AC-DC system coupling is established. The calculation method of the command value of the DC current of the rectifier station is proposed by a predictive control model, and an improved suppression method for AC transient overvoltage is proposed. The case studies show that the accuracy and effectiveness of the suppression of AC transient overvoltage are improved by considering the coupling between AC and DC systems. [ABSTRACT FROM AUTHOR]

Considering that ocean temperature data contain much irrelevant noise if a traditional method is used to obtain a temperature prediction, it will be difficult to encode the spatiotemporal relationship effectively, and the prediction accuracy will be poor. Therefore, we propose a dynamic graph convolution framework of collaborative attention LSTM clustering (CoCluster-DAGCN) for ocean temperature prediction. The framework first uses a coattention LSTM to remove irrelevant and redundant information and performs pruning and clustering to simplify the graph topology. Second, a multiscale graph convolutional network is used to capture further the multiscale spatiotemporal semantics of the ocean temperature data. A dynamic aggregation strategy constructs a stable spatiotemporal relationship and performs local and global-local context modeling. Additionally, the topological structure generated by the clustering of the LSTM coattention module provides maps of different scales for the dynamic aggregation graph convolution module. Finally, the experimental results show that on ARGO and SST-9 baseline data, our proposed CoCluster-DAGCN ocean temperature prediction framework achieves better performance; namely, the MAE and RMSE values of the SST-9 data are 0.3961 and 0.4316, respectively, and the MAE and RMSE values of the ARGO data are 0.2133 and 0.2811, respectively. [ABSTRACT FROM AUTHOR]

Background: The prevalence of depression among people with chronic pain remains unclear due to the heterogeneity of study samples and definitions of depression. We aimed to identify sources of variation in the prevalence of depression among people with chronic pain and generate clinical prediction models to estimate the probability of depression among individuals with chronic pain. Methods: Participants were from the UK Biobank. The primary outcome was a "lifetime" history of depression. The model's performance was evaluated using discrimination (optimism-corrected C statistic) and calibration (calibration plot). Results: Analyses included 24,405 patients with chronic pain (mean age 64.1 years). Among participants with chronic widespread pain, the prevalence of having a "lifetime" history of depression was 45.7% and varied (25.0–66.7%) depending on patient characteristics. The final clinical prediction model (optimism-corrected C statistic: 0.66; good calibration on the calibration plot) included age, BMI, smoking status, physical activity, socioeconomic status, gender, history of asthma, history of heart failure, and history of peripheral artery disease. Among participants with chronic regional pain, the prevalence of having a "lifetime" history of depression was 30.2% and varied (21.4–70.6%) depending on patient characteristics. The final clinical prediction model (optimism-corrected C statistic: 0.65; good calibration on the calibration plot) included age, gender, nature of pain, smoking status, regular opioid use, history of asthma, pain location that bothers you most, and BMI. Conclusions: There was substantial variability in the prevalence of depression among patients with chronic pain. Clinically relevant factors were selected to develop prediction models. Clinicians can use these models to assess patients' treatment needs. These predictors are convenient to collect during daily practice, making it easy for busy clinicians to use them. [ABSTRACT FROM AUTHOR]