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The integration of biochar (BC) production from organic waste with ampicillin (AMP), an emerging pollutant, adsorption is a novel and promising treatment approach. In this study, peanut shells, coffee grounds, digestates, and oyster shells were used for BC production. Among these, the use of anaerobic digestate from food waste fermentation to produce extracts for antibiotic adsorption is relatively unexplored. The pyrolysis temperature was determined using thermogravimetric analysis (TGA) and the materials were characterized with BET, SEM, FTIR, and XRD. The TGA results indicate that PSB, CRB, and DSB underwent pyrolysis involving cellulose, hemicellulose, and lignin, whereas OSB underwent crystal formation. Characterization revealed that DSB has more functional groups, a superior mesoporous structure, appropriate O/C ratio, and trace amounts of calcite crystals, which are favorable for AMP adsorption. Adsorption experiments demonstrate that all four materials adhere to the Freundlich and Langmuir isotherm and Elovich kinetic models, indicating predominant physical adsorption, with some chemical adsorption also present. Thermodynamic studies demonstrate that BC is spontaneous during adsorption and is a heat-absorbing reaction. DSB exhibits the strongest AMP adsorption. A 53.81 mg g−1 adsorbance was obtained at a dosage of 150 mg, pH = 2, and 60 °C. This study introduces innovative approaches for managing waste types and provides data to support the selection of suitable solid wastes for the preparation of BC with excellent adsorption properties. Furthermore, it lays the groundwork for future studies aimed at enhancing the AMP treatment efficacy. Preparation and characterization of biochar and adsorption mechanism of ampicillin in water. [ABSTRACT FROM AUTHOR]

The fluxes of dissolved organic carbon (DOC) through tidal marsh‐influenced estuaries remain poorly quantified and have been identified as a missing component in carbon‐cycle models. The extreme variability inherent to these ecosystems of the land‐ocean interface challenge our ability to capture DOC‐concentration dynamics and to calculate accurate DOC fluxes. In situ discrete and continuous measurements provide high‐quality estimates of DOC concentration, but these strategies are constrained spatially and temporally and can be costly to operate. Here, field measurements and high‐spatial‐resolution remote sensing were used to train and validate a predictive model of DOC‐concentration distributions in the Plum Island Estuary (PIE), a mesotidal saltmarsh‐influenced estuary in Massachusetts. A large set of field measurements collected between 2017 and 2023 was used to develop and validate an empirical algorithm to retrieve DOC concentration with a ±15% uncertainty from Sentinel‐2 imagery. Implementation on 141 useable images produced a 6‐year time series (2017–2023) of DOC distributions along the thalweg. Analysis of the time series helped identify river discharge, tidal water level (WL), and a marsh enhanced vegetation index 2 as predictors of DOC distribution in the estuary, and facilitated the training and validation of a simple model estimating the distribution. This simple model was able to predict DOC along the PIE thalweg within ±16% of the in situ measurements. Implementation for three years (2020–2022) illustrated how this type of remote‐sensing‐informed models can be coupled with the outputs hydrodynamic models to calculate DOC fluxes in tidal marsh‐influenced estuaries and estimate DOC export to the coastal ocean. Plain Language Summary: The lateral transfer of DOC from tidal saltmarsh estuaries to the coastal ocean is not well represented in carbon‐cycle models. These estuaries are influenced by terrestrial processes, riverine and marsh inputs, and tidal fluctuations that combine to create complex dynamics of DOC concentration and complicate the quantification of DOC fluxes used to compute carbon budgets. Here, we used a combination of field measurements and high‐spatial‐resolution satellite imagery to develop and test a model predicting DOC concentrations along a tidal saltmarsh estuary in Massachusetts from three environmental variables (i.e., tidal WL, river discharge, and a satellite‐derived index of saltmarsh‐biomass). A test using an independent data set revealed this simple model can estimate DOC concentrations within ±16% of the values measured in the laboratory. A simulation conducted for a continuous period of 3 years (15‐min time step) showed that the model produced realistic DOC distributions and captured DOC dynamics adequately in the estuary. The model outputs can easily be coupled with hydrodynamic models to quantify the lateral transfer of DOC from tidal saltmarsh estuaries to the coastal ocean and inform carbon‐cycle models. Key Points: In situ data and satellite remote sensing used to develop and validate a predictive model of dissolved organic carbon (DOC) concentration in tidal saltmarsh estuaryDOC dynamics in tidal estuary were predicted accurately (within 16% of in situ DOC) from river discharge, water level, and marsh enhanced vegetation index 2Modeled DOC dynamics can be combined with hydrodynamic models to calculate DOC fluxes in tidal estuaries and inform carbon cycle models [ABSTRACT FROM AUTHOR]

The study aimed to explore the correlation between retinal nerve fiber layer thickness (RNFLT) with blood biochemical indicators and cognitive dysfunction in patients with type 2 diabetes mellitus (T2DM) and the possible mechanism, thereby providing more theoretical basis for the occurrence and prevention of diabetes related complications. Methods: Eighty T2DM patients treated in our hospital from March 2022 to September 2022 were selected as the study subjects, and the clinical data of the patients were retrospectively analyzed. All patients underwent fundus fluorescein angiography (FFA) to analyze the changes in retinal blood vessels. Patients who met the inclusion criteria were divided as the diabetic retinopathy (DR) group (n=46) and simple diabetes group (n=34). The RNFLT, blood biochemical indexes and changes in cognitive functions of the patients were detected. The correlation between RNFLT with blood biochemical indexes and cognitive dysfunction was analyzed. Results: Compared with the simple diabetes group, patients in the DR group had much lower mean, nasal, inferior and superior thicknesses (P< 0.01). There existed no significant difference in blood pressure, body mass index (BMI), blood lipids (triglycerides, cholesterol, low-density lipoprotein, high-density lipoprotein) between the two groups (P 0.05). Compared with the simple diabetes group, patients in the DR group had much higher fasting blood glucose (FBG), hemoglobin A1c (HbA1c), fasting insulin (FINS), insulin resistance (HOMA-IR) index, apolipoprotein B (ApoB)/apolipoprotein A1 (ApoA1) (P< 0.001). Besides, the DR group had sharply lower scores on the Mini-Mental State Examination (MMSE) scale and higher levels of the Trail Making Test-A (TMT-A) and TMT-B (P< 0.001). Spearman correlation analysis confirmed that the mean RNFLT was negatively correlated with the levels of FBG, HbA1c, HOMA-IR index, TMT-A and TMT-B (P< 0.05), positively correlated with the score of mini-mental state examination (MMSE) (P< 0.05), and was no significant correlation with FINS and ApoB/ApoA1 (P 0.05). Conclusion: DR patients had significantly reduced RNFLT, elevated levels of blood glucose related indicators, and cognitive dysfunction. There existed a correlation between RNFLT and FBG, HbA1c, HOMA-IR index, TMT-A, TMT-B and MMSE. [ABSTRACT FROM AUTHOR]

Preimplantation genetic testing (PGT) can minimize the risk of birth defects. However, the accuracy and applicability of routine PGT is confounded by uneven genome coverage and high allele drop‐out rate from existing single‐cell whole genome amplification methods. Here, a method to diagnose genetic mutations and concurrently evaluate embryo competence by leveraging the abundant mRNA transcript copies present in trophectoderm cells is developed. The feasibility of the method is confirmed with 19 donated blastocysts. Next, the method is applied to 82 embryos from 26 families with monogenic defects for simultaneous mutation detection and competence assessment. The accuracy rate of direct mutation detection is up to 95%, which is significantly higher than DNA‐based method. Meanwhile, this approach correctly predicted seven out of eight (87.5%) embryos that failed to implant. Of six embryos that are predicted to implant successfully, four met such expectations (66.7%). Notably, this method is superior at conditions for mutation detection that are challenging when using DNA‐based PGT, such as when detecting pathogenic genes with a high de novo rate, multiple pseudogenes, or an abnormal expansion of CAG trinucleotide repeats. Taken together, this study establishes the feasibility of an RNA‐based PGT that is also informative for assessing implantation competence. [ABSTRACT FROM AUTHOR]

Multi-agent reinforcement learning encounters a non-stationary challenge, where agents concurrently update their policies, leading to changes in the environment. Existing approaches have tackled this challenge through communication among agents to obtain their partners' actions, but this introduces computational complexity known as partner sample complexity. An alternative approach is to develop partner models that generate samples instead of direct communication to mitigate this complexity. However, a discrepancy arises between the real policies distribution and the policy of partner models, termed as model bias, which can significantly impact performance when heavily relying on partner models. In order to achieve a trade-off between sample complexity and performance, a novel multi-agent model-based reinforcement learning algorithm called decentralized adaptive partner modeling (DAPM) is proposed, which utilizes fictitious self play (FSP) to construct partner models and update policies. Model bias is addressed by establishing an upper bound to restrict the usage of partner models. Coupled with that, an adaptive rollout approach is introduced, enabling real agents to dynamically communicate with partner models based on their quality, ensuring that agent performance can progressively improve with partner model samples. The effectiveness of DAPM is exhibited in two multi-agent tasks, showing that DAPM outperforms existing model-free algorithms in terms of partner sample complexity and training stability. Specifically, DAPM requires 28.5% fewer communications compared to the best baseline and exhibits reduced fluctuations in the learning curve, indicating superior performance. [ABSTRACT FROM AUTHOR]

Rare earth (RE)-doped CaS phosphors have been widely used as light-emitting components in various fields. Nevertheless, the application of nanosized CaS particles is still significantly limited by their poor water resistance and weak luminescence. Herein, a lattice-matching strategy is developed by growing an inert shell of cubic NaYF4 phase on the CaS luminescent core. Due to their similarity in crystal structure, a uniform core–shell heterostructure (CaS:Ce3+@NaYF4) can be obtained, which effectively protects the CaS:Ce3+ core from degradation in aqueous environment and enhances its luminescence intensity. As a proof of concept, a label-free aptasensor is further constructed by combining core–shell CaS:Ce3+@NaYF4 and Au nanoparticles (AuNPs) for the ultrasensitive detection of kanamycin antibiotics. Based on the efficient FRET process, the detection linear range of kanamycin spans from 100 to 1000 nM with a detection limit of 7.8 nM. Besides, the aptasensor shows excellent selectivity towards kanamycin antibiotics, and has been successfully applied to the detection of kanamycin spiked in tap water and milk samples, demonstrating its high potential for sensing applications. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is a highly heritable disease. The morphological changes of cortical cortex (such as, cortical thickness and surface area) in AD always accompany by the change of the functional connectivity to other brain regions and influence the short‐ and long‐range brain network connections, causing functional deficits of AD. In this study, the first hypothesis is that genetic variations might affect morphology‐based brain networks, leading to functional deficits; the second hypothesis is that protein–protein interaction (PPI) between the candidate proteins and known interacting proteins to AD might exist and influence AD. 600 470 variants and structural magnetic resonance imaging scans from 175 AD patients and 214 healthy controls were obtained from the Alzheimer's Disease Neuroimaging Initiative‐1 database. A co‐sparse reduced‐rank regression model was fit to study the relationship between non‐synonymous mutations and morphology‐based brain networks. After that, PPIs between selected genes and BACE1, an enzyme that was known to be related to AD, are explored by using molecular dynamics (MD) simulation and co‐immunoprecipitation (Co‐IP) experiments. Eight genes affecting morphology‐based brain networks were identified. The results of MD simulation showed that the PPI between TGM4 and BACE1 was the strongest among them and its interaction was verified by Co‐IP. Hence, gene variations influence morphology‐based brain networks in AD, leading to functional deficits. This finding, validated by MD simulation and Co‐IP, suggests that the effect is robust. [ABSTRACT FROM AUTHOR]

Objective: Motivated by Health Care 4.0, this study aims to reducing the dimensionality of traditional EEG features based on manual extracted features, including statistical features in the time and frequency domains. Methods: A total of 22 multi-scale features were extracted from the UNM and Iowa datasets using a 4th order Butterworth filter and wavelet packet transform. Based on single-channel validation, 29 channels with the highest R2 scores were selected from a pool of 59 common channels. The proposed channel selection scheme was validated on the UNM dataset and tested on the Iowa dataset to compare its generalizability against models trained without channel selection. Results: The experimental results demonstrate that the proposed model achieves an optimal classification accuracy of 100%. Additionally, the generalization capability of the channel selection method is validated through out-of-sample testing based on the Iowa dataset Conclusions: Using single-channel validation, we proposed a channel selection scheme based on traditional statistical features, resulting in a selection of 29 channels. This scheme significantly reduced the dimensionality of EEG feature vectors related to Parkinson's disease by 50%. Remarkably, this approach demonstrated considerable classification performance on both the UNM and Iowa datasets. For the closed-eye state, the highest classification accuracy achieved was 100%, while for the open-eye state, the highest accuracy reached 93.75%. [ABSTRACT FROM AUTHOR]

The welding quality during welding body-in-white (BIW) determines the safety of automobiles. Due to the limitations of testing cost and cycle time, the prediction of welding quality has become an essential safety issue in the process of automobile production. Conventional prediction methods mainly consider the welding process parameters and ignore the material parameters, causing their results to be unrealistic. Upon identifying significant correlations between vehicle body materials, we utilize principal component analysis (PCA) to perform dimensionality reduction and extract the underlying principal components. Thereafter, we employ a greedy feature selection strategy to identify the most salient features. In this study, a welding quality prediction model integrating process parameters and material characteristics is proposed, following which the influence of material properties is analyzed. The model is verified based on actual production data, and the results show that the accuracy of the model is improved through integrating the production process characteristics and material characteristics. Moreover, the overfitting phenomenon can be effectively avoided in the prediction process. [ABSTRACT FROM AUTHOR]

Silicon qubits based on specific SOI FinFETs and nanowire (NW) transistors have demonstrated promising quantum properties and the potential application of advanced Si CMOS devices for future quantum computing. In this paper, for the first time, the quantum transport characteristics for the next-generation transistor structure of a stack nanosheet (NS) FET and the innovative structure of a fishbone FET are explored. Clear structures are observed by TEM, and their low-temperature characteristics are also measured down to 6 K. Consistent with theoretical predictions, greatly enhanced switching behavior characterized by the reduction of off-state leakage current by one order of magnitude at 6 K and a linear decrease in the threshold voltage with decreasing temperature is observed. A quantum ballistic transport, particularly notable at shorter gate lengths and lower temperatures, is also observed, as well as an additional bias of about 1.3 mV at zero bias due to the asymmetric barrier. Additionally, fishbone FETs, produced by the incomplete nanosheet release in NSFETs, exhibit similar electrical characteristics but with degraded quantum transport due to additional SiGe channels. These can be improved by adjusting the ratio of the channel cross-sectional areas to match the dielectric constants. [ABSTRACT FROM AUTHOR]

Tissue-specific gene manipulations are widely used in genetically engineered mouse models. A single recombinase system, such as the one using Alb-Cre, has been commonly used for liver-specific genetic manipulations. However, most diseases are complex, involving multiple genetic changes and various cell types. A dual recombinase system is required for conditionally modifying different genes sequentially in the same cell or inducing genetic changes in different cell types within the same organism. A FlpO cDNA was inserted between the last exon and 3′-UTR of the mouse albumin gene in a bacterial artificial chromosome (BAC-Alb-FlpO). The founders were crossed with various reporter mice to examine the efficiency of recombination. Liver cancer tumorigenesis was investigated by crossing the FlpO mice with FSF-KrasG12D mice and p53frt mice (KPF mice). BAC-Alb-FlpO mice exhibited highly efficient recombination capability in both hepatocytes and intrahepatic cholangiocytes. No recombination was observed in the duodenum and pancreatic cells. BAC-Alb-FlpO-mediated liver-specific expression of mutant KrasG12D and conditional deletion of p53 gene caused the development of liver cancer. Remarkably, liver cancer in these KPF mice manifested a distinctive mixed hepatocellular carcinoma and cholangiocarcinoma phenotype. A highly efficient and liver-specific BAC-Alb-FlpO mouse model was developed. In combination with other Cre lines, different genes can be manipulated sequentially in the same cell, or distinct genetic changes can be induced in different cell types of the same organism. NEW & NOTEWORTHY: A liver-specific Alb-FlpO mouse line was generated. By coupling it with other existing CreERT or Cre lines, the dual recombinase approach can enable sequential gene modifications within the same cell or across various cell types in an organism for liver research through temporal and spatial gene manipulations. [ABSTRACT FROM AUTHOR]

Idiopathic pulmonary fibrosis (IPF) is a life-threatening interstitial lung disease. Identifying biomarkers for early diagnosis is of great clinical importance. The epididymis protein 4 (HE4) is important in the process of inflammation and fibrosis in the epididymis. Its prognostic value in IPF, however, has not been studied. The mRNA and protein levels of HE4 were used to determine the prognostic value in different patient cohorts. In this study, prognostic nomograms were generated based on the results of the cox regression analysis. We identified the HE4 protein level increased in IPF patients, but not the HE4 gene expression. The increased expression of HE4 correlated positively with a poor prognosis for patients with IPF. The HR and 95% CI were 2.62 (1.61–4.24) (p < 0.001) in the training set. We constructed a model based on the risk-score = 0.16222182 * HE4 + 0/0.37580659/1.05003609 (for GAP index 0–3/4–5/6–8) + (− 1.1183375). In both training and validation sets, high-risk patients had poor prognoses (HR: 3.49, 95%CI 2.10–5.80, p = 0.001) and higher likelihood of dying (HR: 6.00, 95%CI 2.04–17.67, p = 0.001). Analyses of calibration curves and decision curves suggest that the method is effective in predicting outcomes. Furthermore, a similar formulation was used in a protein-based model based on HE4 that also showed prognostic value when applied to IPF patients. Accordingly, HE4 is an independent poor prognosis factor, and it has the potential to predict IPF patient survival. [ABSTRACT FROM AUTHOR]

Natural language (NL) based vehicle retrieval is a task aiming to retrieve a vehicle that is most consistent with a given NL query from among all candidate vehicles. Because NL query can be easily obtained, such a task has a promising prospect in building an interactive intelligent traffic system (ITS). Current solutions mainly focus on extracting both text and image features and mapping them to the same latent space to compare the similarity. However, existing methods usually use dependency analysis or semantic role-labelling techniques to find keywords related to vehicle attributes. These techniques may require a lot of pre-processing and post-processing work, and also suffer from extracting the wrong keyword when the NL query is complex. To tackle these problems and simplify, we borrow the idea from named entity recognition (NER) and construct FindVehicle, a NER dataset in the traffic domain. It has 42.3k labelled NL descriptions of vehicle tracks, containing information such as the location, orientation, type and colour of the vehicle. FindVehicle also adopts both overlapping entities and fine-grained entities to meet further requirements. To verify its effectiveness, we propose a baseline NL-based vehicle retrieval model called VehicleFinder. Our experiment shows that by using text encoders pre-trained by FindVehicle, VehicleFinder achieves 87.7% precision and 89.4% recall when retrieving a target vehicle by text command on our homemade dataset based on UA-DETRAC [1]. From loading the command into VehicleFinder to identifying whether the target vehicle is consistent with the command, the time cost is 279.35 ms on one ARM v8.2 CPU and 93.72 ms on one RTX A4000 GPU, which is much faster than the Transformer-based system. The dataset is open-source via the link https://github.com/GuanRunwei/FindVehicle, and the implementation can be found via the link https://github.com/GuanRunwei/VehicleFinder-CTIM. [ABSTRACT FROM AUTHOR]

Recent years have witnessed a growing body of research on the English learning of ethnic minority students in China, yet little is known as to how these students enact their agency to address the challenges they encounter in learning English. Through the lens of activity theory, this qualitative case study explored the manifestations and influencing factors of English learning agency of four first-year Uyghur university students. Data were collected through the students' journals, interviews, and documents, supplemented by the interview data from their teachers. The findings revealed that Uyghur students' English learning agency was manifested by reflecting on the gap btween themselves and their Han classmates and adjusting their English learning methods; adapting to the mode of all-English teaching and the rule of English presentation; using tools such as the Mandarin Chinese, English learning apps and the Internet; and seeking help from teachers, peers and other community members. The study also found that Uyghur students' agency was influenced by factors such as language proficiency, motivation, and personal learning experiences. Additionally, preferential policies of the state and the school, help from teachers and peers, and emotional support from family members also had an impact on their English learning agency. This study provides implications for the English teaching of ethnic minority students at universities. [ABSTRACT FROM AUTHOR]

Sepsis ranks among the most common health problems worldwide, characterized by organ dysfunction resulting from infection. Excessive inflammatory responses, cytokine storms, and immune-induced microthrombosis are pivotal factors influencing the progression of sepsis. Our objective was to identify novel immune-related hub genes for sepsis through bioinformatic analysis, subsequently validating their specificity and potential as diagnostic and prognostic biomarkers in an animal experiment involving a sepsis mice model. Gene expression profiles of healthy controls and patients with sepsis were obtained from the Gene Expression Omnibus (GEO) and analysis of differentially expressed genes (DEGs) was conducted. Subsequently, weighted gene co-expression network analysis (WGCNA) was used to analyze genes within crucial modules. The functional annotated DEGs which related to the immune signal pathways were used for constructing protein–protein interaction (PPI) analysis. Following this, two hub genes, FERMT3 and CD3G, were identified through correlation analyses associated with sequential organ failure assessment (SOFA) scores. These two hub genes were associated with cell adhesion, migration, thrombosis, and T-cell activation. Furthermore, immune infiltration analysis was conducted to investigate the inflammation microenvironment influenced by the hub genes. The efficacy and specificity of the two hub genes were validated through a mice sepsis model study. Concurrently, we observed a significant negative correlation between the expression of CD3G and IL-1β and GRO/KC. These findings suggest that these two genes probably play important roles in the pathogenesis and progression of sepsis, presenting the potential to serve as more stable biomarkers for sepsis diagnosis and prognosis, deserving further study. [ABSTRACT FROM AUTHOR]

Microbial biosynthesis, as an alternative method for producing quantum dots (QDs), has gained attention because it can be conducted under mild and environmentally friendly conditions, distinguishing it from conventional chemical and physical synthesis approaches. However, there is currently no method to selectively control this biosynthesis process in a subset of microbes within a population using external stimuli. In this study, we have attained precise and selective control over the microbial biosynthesis of QDs through the utilization of an optogenetically engineered Escherichia coli (E. coli). The recombinant E. coli is designed to express smCSE enzyme, under the regulation of eLightOn system, which can be activated by blue light. The smCSE enzymes use L‐cysteine and Cd2+ as substrates to form CdS QDs. This system enables light‐inducible bacterial biosynthesis of QDs in precise patterns within a hydrogel for information encryption. As the biosynthesis progresses, the optical characteristics of the QDs change, allowing living materials containing the recombinant E. coli to display time‐dependent patterns that self‐destruct after reading. Compared to static encryption using fluorescent QD inks, dynamic information encryption based on living materials offers enhanced security. [ABSTRACT FROM AUTHOR]

Microbial biosynthesis, as an alternative method for producing quantum dots (QDs), has gained attention because it can be conducted under mild and environmentally friendly conditions, distinguishing it from conventional chemical and physical synthesis approaches. However, there is currently no method to selectively control this biosynthesis process in a subset of microbes within a population using external stimuli. In this study, we have attained precise and selective control over the microbial biosynthesis of QDs through the utilization of an optogenetically engineered Escherichia coli (E. coli). The recombinant E. coli is designed to express smCSE enzyme, under the regulation of eLightOn system, which can be activated by blue light. The smCSE enzymes use L‐cysteine and Cd2+ as substrates to form CdS QDs. This system enables light‐inducible bacterial biosynthesis of QDs in precise patterns within a hydrogel for information encryption. As the biosynthesis progresses, the optical characteristics of the QDs change, allowing living materials containing the recombinant E. coli to display time‐dependent patterns that self‐destruct after reading. Compared to static encryption using fluorescent QD inks, dynamic information encryption based on living materials offers enhanced security. [ABSTRACT FROM AUTHOR]

Purpose: While efforts have been made to establish blastocyst grading systems in the past decades, little research has examined the quality of biopsy specimens. This study is the first to correlate the morphology of biopsied trophectoderm (TE) cells to their quality and subsequent genetic testing results of preimplantation genetic testing (PGT), through an innovative Morphological Analysis and Genetic Integrality Criterion (MAGIC) system. Methods: Biopsied TE cells were first evaluated according to the MAGIC procedure, followed by whole-genome amplification (WGA) and library construction, and then sequenced using the Illumina X Ten Platform. Copy number variation (CNV) and allele drop-out (ADO) rates as well as test failure rates were compared and analyzed. Results: Our data explores the relationship between TE cell morphology and its quality and final genetic testing outcome, which is established based on the MAGIC system. MAGIC guarantees that only high- or good-quality TE cells are used for genetic testing to generate excellent data uniformity and lower ADO rates. Low-quality cells containing biopsied TE cell mass are responsible for the "background noise" of CNV analysis. Conclusion: The MAGIC application has effectively decreased the false-positive mosaicism, hence to ensure the stability and veracity of detection results, to avoid misdiagnoses, and to improve accuracy, as well as to avoid re-biopsy procedures. The study also contributes to understand how the IVF laboratory and the molecular biology laboratory depend on each other to achieve good-quality PGT results, which are clinically relevant for the patients. [ABSTRACT FROM AUTHOR]

Purpose: In osteoporosis, the balance between osteogenic and adipogenic differentiation of mesenchymal stem cells (MSCs) is disrupted. The osteogenic differentiation of bone marrow MSCs (BMSCs) is important for improving osteoporosis. The aim of this study was to explore the role and molecular mechanism of miR-210 in the balance of osteogenic/adipogenic differentiation of BMSCs in postmenopausal osteoporosis. Methods: Postmenopausal osteoporosis rat models were constructed by ovariectomy (OVX). BMSCs were isolated from the femur in rats of Sham and OVX groups. MiR-210 was overexpressed and suppressed by miR-210 mimics and inhibitor, respectively. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the relative mRNA expression of miR-210, ephrin type-A receptor 2 (EPHA2), alkaline phosphatase (ALP), osterix (OSX), osteocalcin (Bglap), Runt-related transcription factor 2 (Runx2), peroxisome proliferator activated receptor gamma, and fatty acid binding protein 4 (FABP4) in each group of rat femoral tissues or BMSCs. Western blot was applied to detect the protein expression level of EPHA2 in rat femoral tissues and cells. Alizarin red S staining and oil red O staining were performed to assess the osteogenic and adipogenic differentiation of BMSCs, respectively. In addition, the targeting relationship between miR-210 and EPHA2 was verified by a dual luciferase gene reporter assay. Results: The expression of miR-210 was significantly reduced in femoral tissues and BMSCs of OVX rats, and its low expression was associated with reduced bone formation. The osteogenic differentiation was enhanced in OVX rats treated with miR-210 mimic. Overexpression of miR-210 in transfected BMSCs was also found to significantly promote osteogenic differentiation and even inhibit adipogenic differentiation in BMSCs, while knockdown of miR-210 did the opposite. Further mechanistic studies showed that miR-210 could target and inhibit the expression of EPHA2 in BMSCs, thus promoting osteogenic differentiation and inhibiting adipogenic differentiation of BMSCs. Conclusion: MiR-210 promotes osteogenic differentiation and inhibits adipogenic differentiation of BMSCs by down-regulating EPHA2 expression. As it plays an important role in the osteogenic/adipogenic differentiation of osteoporosis, miR-210 can serve as a potential miRNA biomarker for osteoporosis. [ABSTRACT FROM AUTHOR]

Autonomous path planning along riverbanks is crucial for unmanned surface vehicles (USVs) to execute specific tasks such as levee safety detection and underwater pipe inspections, which are vital for riverbank safety and water environment protection. Given the intricate shapes of riverbanks, the dynamic nature of tidal influences, and constraints in real-time cartographic updates, there is a heightened susceptibility to inaccuracies during manual waypoint designation. These factors collectively impact the efficiency of USVs in following riverbank paths. We introduce a riverbank following planner (RBFP) for USVs to tackle this challenge. This planner, utilizing 2D LiDAR, autonomously selects the following point to follow riverbank shapes. Additionally, a PID controller is integrated to compensate for position and yaw errors. Our proposed method reduces the deviation between the USV's planned path and the actual riverbank shape. We simulated straight, convex, and concave riverbanks in the Virtual RobotX (VRX) simulator while considering the impacts of wind, waves, and USV dynamics. The experimental result indicates the following performance of 96.92%, 67.30%, and 61.15% for straight, convex, and concave banks, respectively. The proposed RBFP can support a novel autonomous navigation scenario for autonomous paths following along the riverbank without any preplanned paths or destinations. [ABSTRACT FROM AUTHOR]

The symmetry in a polymorph is one of the most important elements for determining the inherent lattice nature. The MnO2 host tends to high‐symmetry MnO6 octahedra as a result of the electronic structure t2g3eg0 of Mn4+ ions, displaying an ordered structure accompanying with poor polarization loss and limiting its application toward high‐performance microwave absorbers. Here, a pseudo‐Jahn−Teller (PJT) distortion and PJT disordering design with abundant self‐forming interfaces and local magnetic domains in the monoclinic birnessite–MnO2 host is first reported. The PJT distortion can give rise to asymmetric MnO6 octahedra, inducing the formation of interfaces and increased electron spin magnetic moment in the lattice. The resultant birnessite with PJT distortions and PJT disordering delivers an outstanding reflection loss value of −42.5 dB at an ultralow thickness of 1.7 mm, mainly derived from the excited interfacial polarization and magnetic loss. This work demonstrates an effective approach in regulating the lattice structure of birnessite for boosting microwave absorption performance. [ABSTRACT FROM AUTHOR]

Tissue and cell-specific gene targeting has been widely employed in biomedical research. In the pancreas, the commonly used Cre recombinase recognizes and recombines loxP sites. However, to selectively target different genes in distinct cells, a dual recombinase system is required. We developed an alternative recombination system mediated by FLPo, which recognizes frt DNA sequences for pancreatic dual recombinase-mediated genetic manipulation. An IRES-FLPo cassette was targeted between the translation stop code and 3-UTR of the mouse pdx1 gene in a Bacterial Artificial Chromosome using recombineering technology. Transgenic BAC-Pdx1-FLPo mice were developed by pronuclear injection. Highly efficient recombination activity was observed in the pancreas by crossing the founder mice with Flp reporter mice. When the BAC-Pdx1-FLPo mice were bred with conditional FSF-KRasG12D and p53 F/F mice, pancreatic cancer developed in the compound mice. The characteristics of pancreatic cancer resembled those derived from conditional LSL-KRasG12D and p53 L/L mice controlled by pdx1-Cre. We have generated a new transgenic mouse line expressing FLPo, which enables highly efficient pancreatic-specific gene recombination. When combined with other available Cre lines, this system can be utilized to target different genes in distinct cells for pancreatic research. [ABSTRACT FROM AUTHOR]

A novel spatial soil arching (SSA) effect and the arching mechanisms and characteristics of a steep-slope high embankment in a double-V narrowing gully (DVNG) were investigated. First, the consistency between the results obtained via a lab-scale experiment and the three-dimensional finite-element model (FEM3D) confirmed the existence of SSA in the DVNG (DVNG-SSA) and validated the numerical model feasibility. The enlarged FEM3D revealed that the DVNG-SSA was generated by stress redistribution caused by uneven soil displacement. Moreover, the DVNG-SSA could generally be divided into horizontal (H-) and vertical (V-) DVNG-SSAs, which could interact with each other to form large-scale spatial soil arches at the front and bottom of the embankment. Parameter sensitivity analysis revealed that increasing the Poisson's ratio of the soil negatively affected both arches. The H-DVNG-SSA only had side banks acting as arch feet, while the V-DVNG-SSA had an additional ditch bottom. Compared with H-DVNG-SSA, V-DVNG-SSA had a broader range, flatter shape, longer length, deeper thickness, lower height, and smaller maximum rise–span ratio. Finally, the strength of the DVNG-SSA was lower than that of the conventional pile–soil SSA despite its extensive coverage, which could considerably impact the overall embankment stability. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to determine the relationship between morphological parameters and the incidence of de novo chromosomal abnormalities. Methods: This was a retrospective cohort study of 652 patients who underwent 921 cycles with 3238 blastocysts biopsied. The embryo grades were evaluated according to Gardner and Schoolcraft's system. The incidence of euploidy, whole chromosomal aneuploidy (W-aneuploidy), segmental chromosomal aneuploidy (S-aneuploidy), and mosaicism in trophectoderm (TE) cell biopsies was analyzed. Results: The euploidy decreased significantly with maternal age and was positively correlated biopsy day and morphological parameters. The W-aneuploidy increased significantly with maternal age and was negatively correlated biopsy day and morphological parameters. Parental age, TE biopsy day, and morphological parameters were not associated with S-aneuploidy and mosaicism, except that TE grade C blastocysts had significantly higher mosaicism than TE grade A blastocysts. Subanalysis in different female age groups showed that euploidy and W-aneuploidy had a significant correlation with TE biopsy day among women aged ≤ 30 y and 31–35 y, with expansion degree among women aged ≥ 36 y, with ICM grade among women aged ≥ 31 y, and with TE grade among all female age ranges. Conclusion: Female age, embryo developmental speed and blastocyst morphological parameters are associated with euploidy and whole chromosomal aneuploidy. The predictive value of these factors varies across female age groups. Parental age, embryo developmental speed, expansion degree, and ICM grade are not associated with the incidence of segmental aneuploidy or mosaicism, but TE grade seemingly has a weak correlation with segmental aneuploidy and mosaicism in embryos. [ABSTRACT FROM AUTHOR]

The core–shell strategy has been routinely employed to improve emissive properties of upconversion nanoparticles (UCNPs). However, the underlying process of forming the core–shell structure still remains largely unexplored. In this work, we have performed a time-course study on the growth process of NaErF4@NaYF4 core–shell UCNPs to track time-dependent variations in size, phase, elemental distribution, and luminescence properties throughout the whole synthesis process. Our results show that the formation of core–shell UCNPs includes three major stages: formation of α-phase shell precursors, transition of the α-phase to β-phase, and seed-mediated growth. Among these stages, the first two mainly occur in the early stage of the growth process, while the last one dominates the subsequent process. During the seed-mediated growth process, the elemental distribution of the core–shell nanostructure is observed to change after a short time of reaching the reaction temperature and it continues throughout the rest of the growth process. Most importantly, the emissive properties also showed time-dependent variations, which were attributed to the activation of different optical pathways due to different shell thicknesses over time. This study is believed to provide fundamental insights into the growth mechanism of core–shell UCNPs, which can also be potentially applied for tuning the luminescence of other core–shell luminescent nanostructures. [ABSTRACT FROM AUTHOR]

For stage III colorectal cancer (CRC) patients with a high risk of recurrence, intensified adjuvant chemotherapy can improve overall survival. We aimed to develop a circulating tumor DNA (ctDNA) methylation marker model for predicting the relapse risk of stage III CRC patients. Differentially methylated markers identified between 53 normal mucosa samples and 165 CRC tissue samples, as well as between plasma samples from 75 stage I/II (early‐stage) CRC patients and 55 stage IV (late‐stage) CRC patients, were analyzed using Student's t‐tests. The overlapping methylation markers shared by plasma and tissue samples were used to establish a methylation marker model to evaluate the tumor burden in the peripheral blood of CRC patients using the random forest method. This model was verified in the validation cohort (n = 44) and then applied to predict recurrence risk in 50 stage III CRC patients and monitor the clinical disease course in serial samples from four CRC patients. We built a five‐marker‐based ctDNA methylation model that had high sensitivity (84.21%) and specificity (84%) in identifying late‐stage CRC in a validation cohort containing 24 stage I/II CRC patients and 20 stage IV CRC patients. The model achieved high sensitivity (87.5%) and specificity (94.12%) in predicting tumor relapse in an independent cohort of 50 stage III CRC patients and could be an independent recurrence risk factor for stage III patients [Hazard ratio (HR), 60.4; 95% confidence interval (CI): 7.68–397; p = 9.73e−5]. Analysis of serial blood samples of CRC showed that the model could monitor disease relapse earlier than imaging examination and serum carcinoembryonic antigen (CEA) and so may provide an opportunity for the early adjustment of therapeutic strategies. Moreover, the model could potentially monitor the clinical course and treatment response dynamically. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Cardiovascular adverse effects caused by high-intensity exercise (HIE) have become a public health problem of widespread concern. The therapeutic effect and metabolic regulation mechanism of myricetin, a phytochemical with potential therapeutic effects, have rarely been studied. In this study, we established mice models of different doses of myricetin intervention with 1 week of HIE after intervention. Cardiac function tests, serology, and pathological examinations were used to evaluate the protective effect of myricetin on the myocardium. The possible therapeutic targets of myricetin were obtained using an integrated analysis of metabolomics and network pharmacology and verified using molecular docking and RT-qPCR experiments. Different concentrations of myricetin improved cardiac function, significantly reduced the levels of myocardial injury markers, alleviated myocardial ultrastructural damage, reduced the area of ischemia/hypoxia, and increased the content of CX43. We obtained the potential targets and regulated metabolic network of myricetin by combined network pharmacology and metabolomics analysis and validated them by molecular docking and RT-qPCR. In conclusion, our findings suggest that myricetin exerts anti-cardiac injury effects of HIE through the downregulation of PTGS2 and MAOB and the upregulation of MAP2K1 and EGFR while regulating the complicated myocardial metabolic network. [ABSTRACT FROM AUTHOR]

1-Alkylpyridinium bromide [Cnpy]Br is a common intermediate in chemical synthesis. With the discharge of industrial wastewater, it enters the environment and is toxic to plants. In this study, the impacts of two pyridine-based ionic liquids (ILs), [C3py]Br and [C5py]Br, on the growth and physiology of rape seedlings were investigated at concentrations of 10, 50, 100, 200, 300, and 400 mg/L. Within the concentration range (10–400 mg/L) of [C3py]Br and [C5py]Br treatment, the root length, plant height, activities of antioxidant enzymes (SOD, POD, and CAT), and the contents of Chla and Chlb showed an increase at low concentrations and a decrease at high concentrations. [C3py]Br and [C5py]Br increased MDA content in rape seedlings leaves in a concentration-dependent manner. It was also found that [C5py]Br was more toxic to rape seedlings than [C3py]Br. The toxicity of pyridine ILs such as [C3py]Br and [C5py]Br to plants should be highly concerned. [ABSTRACT FROM AUTHOR]

Due to the rapidly increasing number of students at universities in recent years, universities may arrange students from different majors in the same class, which may bring several challenges in teaching and learning for students and teachers, such as poor class experience, less class discussion and more workload for teachers. In this paper, we investigate the learning achievements of students with different major backgrounds based on a large-size course of Introduction to Java Programming. Approaches of difficulty index, incrimination index, failure rate, median average mark, average mark and standard deviation are used to evaluate students' learning achievements based on students' coursework assignments, continuous assessment and the final exam. Results show that major backgrounds could significantly affect learning achievements even in the same teaching and learning environment. To achieve a better learning experience and performance, we finally divided the original module into two separate modules for students with different major backgrounds. [ABSTRACT FROM AUTHOR]

Gold nanoclusters (AuNCs) are a unique class of materials that exhibit visible luminescence. Amorphous calcium phosphate (ACP) is a widely used biomaterial for a variety of purposes, such as drug delivery, bone cementing, and implant coatings. In this study, a nanocomposite of AuNCs and ACP is prepared by biomimetic mineralization in a Dulbecco's modified Eagle's medium (DMEM). The strong interaction between AuNCs and Ca2+ ions effectively induces aggregation of AuNCs. The as-formed nanocomposite, AuNCs@ACP, emits significantly enhanced luminescence compared to AuNCs alone. The luminescence enhancement mechanism is investigated using synchrotron X-ray absorption fine structure spectroscopy. In addition, the presence of AuNCs stabilizes ACP and also enhances the biocompatibility of ACP in promoting cell proliferation, and the nanocomposites are promising as nanoprobes for cancer therapy and/or bone tissue engineering. [ABSTRACT FROM AUTHOR]

Reductive biodegradation by microorganisms has been widely explored for detoxifying recalcitrant contaminants; however, the biodegradation capacity of microbes is limited by the energy level of the released electrons. Here, we developed a method to self-assemble Shewanella oneidensis-CdS nanoparticle hybrids with significantly improved reductive biodegradation capacity and constructed a living material by encapsulating the hybrids in hydrogels. The material confines the nano-bacteria hybrids and protects them from environmental stress, thus improving their recyclability and long-term stability (degradation capacity unhindered after 4 weeks). The developed living materials exhibited efficient photocatalytic biodegradation of various organic dyes including azo and nitroso dyes. This study highlights the feasibility and benefits of constructing self-assembled nano-bacteria hybrids for bioremediation and sets the stage for the development of novel living materials from nano-bacteria hybrids. [ABSTRACT FROM AUTHOR]

High‐salt diets (HSDs) are associated with elevated levels of reactive oxygen species (ROS), which play a key role in ovarian disorders. However, it is not yet clear whether HSDs impact ovarian redox balance and metabolism. Accordingly, in this study, we analyzed the effect of HSDs on ovarian redox balance by biochemical analysis and further dissected its possible mechanism by metabolic analysis combined with the correlation network method. We found that ROS and H2O2 levels significantly increased in the ovarian tissue of mice receiving an HSD for 4 weeks. The enhanced activity of NADPH oxidase may contribute to an increase in ROS in ovarian tissue after excessive salt consumption. Meanwhile, the activities of key antioxidant enzymes, including superoxide dismutase 2, glutathione peroxidase, glucose‐6‐phosphate dehydrogenase, and 6‐phosphogluconate dehydrogenase, increased significantly. The apparent activation of antioxidant defense appeared insufficient as the glutathione, GSH/GSSG ratio, and NADPH/NADP+ ratio decreased significantly. In addition, HSDs significantly altered the metabolic patterns of ovarian tissue in mice, and pathways were mainly enriched in fatty acid metabolism. Arachidonic acid was an altered hub metabolite according to Pearson correlation network analysis. Mechanistically, an HSD increased the concentration of arachidonic acid in ovarian tissue, inducing high NADPH oxidase activity, which increased the levels of ROS and H2O2. Our results indicate that HSDs can lead to increased oxidative stress and dramatically alter the metabolic patterns in mouse ovarian tissues. [ABSTRACT FROM AUTHOR]

Although birnessite‐type manganese dioxide (δ‐MnO2) with a large interlayer spacing (≈7 Å) is a promising cathode candidate for aqueous Zn/MnO2 batteries, the poor structural stability associated with Zn2+ intercalation/deintercalation limits its further practical application. Herein, δ‐MnO2 ultrathin nanosheets are coupled with reduced graphene oxide (rGO) via van der Waals (vdW) self‐assembly in a vacuum freeze‐drying process. It is interesting to find that the presence of vdW interaction between δ‐MnO2 and rGO can effectively suppress the layered‐to‐spinel phase transition in δ‐MnO2 during cycling. As a result, the coupled δ‐MnO2/rGO hybrid cathode with a sandwich‐like heterostructure exhibits remarkable cycle performance with 80.1% capacity retained after 3000 cycles at 2.0 A g−1. The first principle calculations demonstrate that the strong interfacial interaction between δ‐MnO2 and rGO results in improved electron transfer and strengthened layered structure for δ‐MnO2. This work establishes a viable strategy to mitigate the adverse layered‐to‐spinel phase transition in layered manganese oxide in aqueous energy storage systems. [ABSTRACT FROM AUTHOR]

Mycotoxins are secondary metabolites of fungi, which seriously threaten human health. Among them, ochratoxin A (OTA) and deoxynivalenol (DON) have become the main factors that pollute cereals and by-products. In order to achieve simultaneous detection of OTA and DON quantitatively, a novel dual-flux immunochromatographic assay (dICA) was established. The dual-flux assay is based on upconversion nanoparticles (UCNPs) as fluorescence tags to label antigens and gold nanoparticles (AuNPs) as fluorescence quencher to label monoclonal antibodies (mAbs). The intensity of the green fluorescence (540 nm) of UCNPs can be used as an analytical signal, indicating the formation of antigen–antibody immune complexes, thereby indicating the presence or absence of the target analyte. The intensity of the red fluorescence (660 nm) of UCNPs is not affected and can be used as a quality control signal, and the dual-flux bidirectional single-line labeling mode allows for the simultaneous detection of two different mycotoxins on two test lines. This work indicated that the developed dICA provided a sensitive, rapid, and reliable on-site simultaneous detection of multiple mycotoxins. [ABSTRACT FROM AUTHOR]

Most high-performance semantic segmentation networks are based on complicated deep convolutional neural networks, leading to severe latency in real-time detection. However, the state-of-the-art semantic segmentation networks with low complexity are still far from detecting objects accurately. In this paper, we propose a real-time semantic segmentation network, RecepNet, which balances accuracy and inference speed well. Our network adopts a bilateral architecture (including a detail path, a semantic path and a bilateral aggregation module). We devise a lightweight baseline network for the semantic path to gather rich semantic and spatial information. We also propose a detail stage pattern to store optimized high-resolution information after removing redundancy. Meanwhile, the effective feature-extraction structures are designed to reduce computational complexity. RecepNet achieves an accuracy of 78.65% mIoU (mean intersection over union) on the Cityscapes dataset in the multi-scale crop and flip evaluation. Its algorithm complexity is 52.12 GMACs (giga multiply–accumulate operations) and its inference speed on an RTX 3090 GPU is 50.12 fps. Moreover, we successfully applied RecepNet for blue-green algae real-time detection. We made and published a dataset consisting of aerial images of water surface with blue-green algae, on which RecepNet achieved 82.12% mIoU. To the best of our knowledge, our dataset is the world's first public dataset of blue-green algae for semantic segmentation. [ABSTRACT FROM AUTHOR]

Path-keeping requires unmanned surface vehicles (USVs) to follow a planned path in autonomous navigation. It is essential for USVs to carry out autonomous tasks such as collecting various data of water quality and surrounding terrain for exploration and protection of water environments. However, due to obstacle avoidance and other factors such as wind, water waves, and dynamics of USVs, USVs usually deviate from the original planned path during autonomous navigation. This paper proposes a novel path-keeping algorithm based on the artificial potential field method (PK-APF) for USVs. To minimize the deviation between the actual path and the original planned path, the vertical distance and the virtual foot points of the current position of USVs to the original path (a line connecting the previous navigation point and the next navigation point) are calculated. When the vertical distance is larger than a threshold, we regard the vertical foot point as a virtual goal point to guide the USVs to navigate the original path in real-time to achieve high-precision path-keeping. Obstacle avoidance is simulated in the MATLAB and Virtual RobotX (VRX) simulators, and the influence of wind and water waves is considered in VRX. Experiments are conducted in typical scenarios and results show that PK-APF outperforms the traditional APF by at least 22%. The work provides an important basis for real-life environments. Substantial further work is planned for applying the method on a physical USV. [ABSTRACT FROM AUTHOR]

Chromosomal mosaicism is common throughout human pre- and post-implantation development. However, the incidence and characteristics of mosaicism in human blastocyst remain unclear. Concerns and confusions still exist regarding the interpretation of chromosomal mosaicism on preimplantation genetic testing for aneuploidy (PGT-A) results and embryo development. Here, we aimed to estimate the genetic concordance between trophectoderm (TE), inner cell mass (ICM) and the corresponding human embryonic stem cells (hESCs), and to explore the characteristics of mosaicism in human blastocyst and hESCs on a single cell level. The single cell sequencing results of TE cells indicated that 65.71% of the blastocysts were mosaic (23 in 35 embryos), while the ICM sequencing results suggested that 60.00% of the blastocysts were mosaic (9 in 15 embryos). The incidence of mosaicism for the corresponding hESCs was 33.33% (2 in 6 embryos). No significant difference was observed between the mosaic rate of TE and that of ICM. However, the mosaic rate of the corresponding hESCs was significantly lower than that of TE and ICM cells, suggesting that the incidence of mosaicism may decline during embryonic development. Upon single cell sequencing, we found several "complementary" copy number variations (CNVs) that were usually not revealed in clinical PGT-A which used multi-cell DNA sequencing (or array analysis). This indicates the potential diagnostic risk of PGT-A based multi-cell analysis routinely in clinical practice. This study provided new insights into the characteristics, and considerable influences, of mosaicism on human embryo development, as well as the clinical risks of PGT-A based on multi-cell biopsies and bulk DNA assays. Author summary: Chromosomal mosaicism is a common biological phenomenon during human embryo development, which may have interferences with clinical PGT-A decision-making. In this study, single cell DNA sequencing and copy number variation (CNV) analysis were performed to estimate the genetic concordance of TE, ICM, and hESCs. The single cell sequencing results of TE cells indicated that 65.71% of the blastocysts were mosaic, while the ICM sequencing result suggested that 60.00% of the blastocysts were mosaic in the 39 embryos we analyzed. The mosaicism may be caused by both whole and segmental abnormalities of the chromosome. Our study described the characteristics of chromosome mosaicism on single cell level in human embryo and brought evidence that mosaicism could raise challenges in the clinical management of PGT-A. [ABSTRACT FROM AUTHOR]

Helicobacter pylori (H. pylori) is the main pathogenic factor of gastric cancer, chronic gastritis, and other gastric diseases. It has been found that Callicarpa nudiflora (CN) as an air-dried leaf extract has a broad-spectrum antibacterial effect. This study aims to examine the effect of CN on H. pylori-infected GES-1 cells in vitro and elucidate its underlying mechanism by extracting active ingredients from air-dried leaves. GES-1 cells were cocultured with HPSS1 at MOI = 100 : 1 and treated with different concentrations of CN (100 and 200 μg/ml). Results showed that CN can significantly reduce cellular LDH leakage and attenuate H. pylori-induced cell apoptosis and ROS production in GSE-1 cells, so as to protect gastric epithelial cells from damage by H. pylori. CN can also inhibit the secretion of inflammatory factors, such as TNF-α, IL-1β, IL-6, and IL-8. After CN treatment, the expression levels of active caspase-1, PYCARD, and NLRP3 were remarkably decreased in the treatment groups compared with the model group. To sum up, CN is highly protective against H. pylori-induced cell damage and apoptosis; CN can depress NLRP3 inflammasome activation and ROS production via the ROS/NLRP3/caspase-1/IL-1β signaling axis to suppress H. pylori-triggered inflammatory response and pyroptosis. [ABSTRACT FROM AUTHOR]

aimed to investigate the surgical outcomes in elderly (age ≥ 65) patients with hip fractures combined with hemiplegia and compare them with the surgical outcomes in elderly patients with hip fractures but no hemiplegia. Methods: A total of 761 elderly patients with hip fractures who were treated between January 2013 and December 2019 were enrolled in this study using a retrospective study design. The patients were divided into two groups: a hemiplegia group (77 cases, 10.1%) and a non-hemiplegia group (684 cases, 89.9%). Length of hospital stay, postoperative complications, 30-day and one-year mortalities, and one-year functional status were compared between the two groups. Results: The average length of hospital stay in the hemiplegia group (13.51 ± 10.17 days) was longer than in the non-hemiplegia group (12.60 ± 7.83 days), but the difference was not statistically significant (P = 0.354). The incidence of postoperative complications in patients with hemiplegia (28.6%, 22/77) was higher than in patients without hemiplegia (15.4%, 105/684), and the difference was statistically significant (P = 0.003). The 30-day and one-year mortalities in the hemiplegia group were higher than in the non-hemiplegia group (30 days after surgery: 10.4%, 8/77 vs 4.5%, 31/684; one year after surgery: 29.9%, 23/77 vs 15.2%, 104/684), and the difference was statistically significant (30 days after surgery: P = 0.027; one year after surgery: P = 0.001). One year after surgery, the average activity of daily living score was 56.02 ± 9.63 in the hemiplegia group and 76.89 ± 8.40 in the non-hemiplegia group, and the difference was statistically significant (P = 0.000). Conclusion: Hemiplegia can increase the incidence of postoperative complications and 30-day and one-year mortalities in patients with hip fractures. [ABSTRACT FROM AUTHOR]

To explore the rehabilitation psychological experience of the Chinese elderly within 6 months of initial disability, understand and analyse their real feelings and thoughts to help caregivers in providing support. We adopted the descriptive phenomenology method to purposefully select elderly with initial disability within 6 months from neurorehabilitation departments of 2 hospitals in China, who were able to cooperate with researchers to conduct interviews. The data were collected from semi-structured interviews and analysed using Colaizzi's analysis method. fifteen participants with an average age of 73.7(±9.0) years and an average disability time of 3.2 (±1.5) months were interviewed. Four themes were identified: (1) the discomfort of losing the sense of self; (2) feeling trapped over unmet needs; (3) ambivalence towards rehabilitation; (4) expectations and hopelessness for the future. Traditional Chinese thoughts such as family concepts played an important role in the generation of complex emotions. The elderly had the desire and motivation to recover and return to the families and society. However, due to personal, family and social factors, they still felt ambivalence towards rehabilitation, self-worth and life, which hindered rehabilitation. Therefore, carers should focus on the elderly's psychological states, taking corresponding measures to satisfy their complex demands and motivate long-term recovery. Chinese elderly with initial disability often had a strong sense of ambivalence towards self-worth, rehabilitation and life, among which the influence of the traditional Chinese family concept counts. Health care personnel should improve the positive coping ability of the elderly to promote their harmonious coexistence with disability, rebuild their personal values, develop their rehabilitation potential. Health care departments need to provide support to the elderly and their families to maximize the positive role of the family in the rehabilitation process of the elderly. In order to alleviate the discomfort of disabled elderly in rehabilitation and enhance compliance, there is a need to improve the hard environment (rehabilitation technologies, etc.) and soft environment (rehabilitation concept and service quality, etc.). [ABSTRACT FROM AUTHOR]