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Abstract Background Depression and chronic constipation often co-occur, but the reciprocal influence between the two remains unclear. The purpose of this study is to explore the potential association between depression and chronic constipation. Methods This study initially utilized data from National Health and Nutrition Examination Survey (NHANES) 2005–2010 to explore the correlation between depression scores and chronic constipation, assessing the non-linear relationship between the two. Subsequently, we conducted a two-sample Mendelian randomization (MR) analysis to evaluate the causal relationship between depression and major depression with chronic constipation. The Inverse Variance Weighting (IVW) method served as the primary reference, supplemented by sensitivity tests. Finally, a reverse MR analysis was performed to assess the presence of any reverse causation. The STROBE-MR checklist for the reporting of MR studies was used in this study. Results In the NHANES analysis, survey-weighted logistic regression revealed a significantly positive correlation between depression scores and chronic constipation (OR = 1.04, 95% CI = 1.02–1.07, p = 0.002), even after adjusting for the included covariates. The nonlinear analysis using Restricted Cubic Splines (RCS) enhanced the robustness of the association (P-non-liner = 0.01). The MR analysis also confirmed the causal relationship between depression (OR = 11.43, 95% CI = 1.85–70.67, p = 0.008) and major depression (OR = 1.12, 95% CI = 1.03–1.22, p = 0.007) with chronic constipation, passing rigorous sensitivity tests. No evidence of reverse causation was observed in the reverse MR analysis (P > 0.05). Conclusions Depression is positively correlated with the risk of chronic constipation. Therefore, enhancing attention to chronic constipation in patients with depression may be effective in clinical practice.

Millet is one of the major coarse grain crops in China. Its geographical origin and Fusarium fungal contamination with ergosterol and deoxynivalenol have a direct impact on food quality, so the rapid prediction of the geographical origins and fungal toxin contamination is essential for protecting market fairness and consumer rights. In this study, 600 millet samples were collected from twelve production areas in China, and traditional algorithms such as random forest (RF) and support vector machine (SVM) were selected to compare with the deep learning models for the prediction of millet geographical origin and toxin content. This paper firstly develops a deep learning model (wavelet transformation-attention mechanism long short-term memory, WT-ALSTM) by combining hyperspectral imaging to achieve the best prediction effect, the wavelet transformation algorithm effectively eliminates noise in the spectral data, while the attention mechanism module improves the interpretability of the prediction model by selecting spectral feature bands. The integrated model (WT-ALSTM) based on selected feature bands achieves optimal prediction of millet origin, with its accuracy exceeding 99% on both the training and prediction datasets. Meanwhile, it achieves optimal prediction of ergosterol and deoxynivalenol content, with the coefficient of determination values exceeding 0.95 and residual predictive deviation values reaching 3.58 and 3.38 respectively, demonstrating excellent model performance. The above results suggest that the combination of hyperspectral imaging with a deep learning model has great potential for rapid quality assessment of millet. This study provides new technical references for developing portable and rapid hyperspectral imaging inspection technology for on-site assessment of agricultural product quality in the future.

In this paper, we introduce MP-GT, a novel Graph Neural Network model that leverages meta-path-guided optimization within the GCN-Transformer framework to enhance application (App) usage prediction accuracy. Our approach addresses issues such as suspended animation and over-smoothing by extracting both local subgraph structures and global graph structures using a combination of GCN and Transformer method. Furthermore, we enhance the capture of semantic information and App usage patterns by incorporating a meta path-guided objective function. Extensive experiments demonstrate that MP-GT outperforms the widely adopted baseline of semantic-aware representation learning via Graph Convolutional Network (SA-GCN) by 13.33% in terms of Accuracy@1. Additionally, MP-GT surpasses the popular baseline of context-aware App usage prediction with heterogeneous graph embedding (CAP) by 74.02% in the same metric. Moreover, MP-GT reduces training time by 79.47% compared to SA-GCN. These findings validate that our approach not only achieves higher prediction accuracy but also converges faster than the baseline models. Therefore, MP-GT proves to be an effective and superior solution for the App usage prediction task.

Summary: Cell fate conversion is associated with extensive post-translational modifications (PTMs) and architectural changes of sub-organelles, yet how these events are interconnected remains unknown. We report here the identification of a phosphorylation code in 14-3-3 binding motifs (PC14-3-3) that greatly stimulates induced cardiomyocyte (iCM) formation from fibroblasts. PC14-3-3 is identified in pivotal functional proteins for iCM reprogramming, including transcription factors and chromatin modifiers. Akt1 kinase and protein phosphatase 2A are the key writer and key eraser of the PC14-3-3 code, respectively. PC14-3-3 activation induces iCM formation with the presence of only Tbx5. In contrast, PC14-3-3 inhibition by mutagenesis or inhibitor-mediated code removal abolishes reprogramming. We discover that key PC14-3-3-embedded factors, such as histone deacetylase 4 (Hdac4), Mef2c, and Foxo1, form Hdac4-organized inhibitory nuclear condensates. PC14-3-3 activation disrupts Hdac4 condensates to promote cardiac gene expression. Our study suggests that sub-organelle dynamics regulated by a PTM code could be a general mechanism for stimulating cell reprogramming.

The influence of sensitization on the precipitation behaviour and environmentally assisted cracking (EAC) of AA5083 alloy with the –H128 temper have been investigated. 80 °C/500 h and 80 °C/1000 h sensitized specimens exhibit discontinuous Mg-rich precipitates along the grain boundaries, whereas almost continuous β′ phase is present along the grain boundaries in the 175 °C/100 h sensitized material. EAC susceptibility increases with increasing exposure time and elevated temperature. The relationship between nitric acid mass loss test (NAMLT) values and mechanical test results indicates that specimens with a NAMLT value greater than 25 mg/cm2 exhibit severe EAC. The test environment affects the degree of EAC due to the combined effects of anodic dissolution at the crack tip, hydrogen evolution, and hydrogen embrittlement. AA5083-H128 exhibits lower EAC susceptibility than AA5083-H131, likely due to its lower yield strength. High yield strength can produce more Mg-rich precipitates after sensitization, increase the constraint of the crack tip material and accelerate the diffusion rate of H atoms in the process zone of the crack tip.

Abstract Background Homosexual contact is the main route of human immunodeficiency virus type one (HIV-1) transmission in Cangzhou Prefecture, Hebei, China. Moreover, the number of circulating recombinant forms (CRFs) and unique recombinant forms (URFs) in this key population is ever increasing. Methods In this study, we identified two novel URFs (hcz0017 and hcz0045) from two men who have sex with men (MSM) based in Cangzhou Prefecture. Phylogenetic and recombinant breakpoint analyses, based on the near full-length genomes (NFLGs) of the two novel URFs, showed that they originated from a recombination between HIV-1 CRF01_AE and subtype B. Results HXB2 numbering revealed that the NFLGs of hcz0017 and hcz0045 each contained the following seven subregions: hcz0017: IB (790–1,171 nt), IICRF01_AE (1,172–2,022 nt), IIIB (2,023–4,469 nt), IVCRF01_AE (4,470–5,866 nt), VB (5,867–7,462 nt), VICRF01_AE (7,463–8,379 nt), VIIB (8,380–9,411 nt); hcz0045: ICRF01_AE (790–5,147 nt), IIB (5,148–5,614 nt), IIICRF01_AE (5,615–6,035 nt), IVB (6,036–6,241 nt), VCRF01_AE (6,242–7,325nt), VIB (7,326–8,254 nt), VIICRF01_AE (8,255–9,411 nt). Moreover, the two MSM from whom the novel URFs originated from were diagnosed as recently HIV-1-infected, suggesting that the high prevalence of HIV-1 among MSM was related to high-risk sexual activity such as unprotected anal sex and multiple sexual partners. Conclusions Our results highlight the need to continually monitor HIV-1 diversity in Hebei and its neighboring provinces to achieve a more effective control of HIV-1 spread within the MSM community.

Abstract Human epidermal growth factor receptor 2 (HER2) possesses tyrosine kinase activity and participates in cell growth, differentiation and migration, and survival. Its alterations, mainly including mutations, amplifications, and overexpression are associated with poor prognosis and are one of the major drivers in non–small cell lung cancer (NSCLC). Several clinical trials had been investigating on the treatments of HER2‐altered NSCLC, including conventional chemotherapy, programmed death 1 (PD‐1) inhibitors, tyrosine kinase inhibitors (TKIs) and antibody‐drug conjugates (ADCs), however, the results were either disappointing or encouraging, but inconsistent. Trastuzumab deruxtecan (T‐DXd) was recently approved by the Food and Drug Administration as the first targeted agent for treating HER2‐mutant NSCLC. Effective screening of patients is the key to the clinical application of HER2‐targeted agents such as TKIs and ADCs. Various testing methods are nowadays available, including polymerase chain reaction (PCR), next‐generation sequencing (NGS), fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), etc. Each method has its pros and cons and should be reasonably assigned to appropriate patients for diagnosis and guiding treatment decisions. To help standardize the clinical workflow, our expert group reached a consensus on the clinical management of HER2‐altered NSCLC, focusing on the diagnosis and treatment strategies.

Abstract Immune checkpoint inhibitors (ICIs) have successfully treated a number of different types of cancer, which is of great significance for cancer treatment. With the widespread use of ICIs in clinical practice, the increasing checkpoint inhibitor pneumonia (CIP) will be a challenge to clinicians. To guide the diagnosis and treatment of CIP, we conducted in‐depth discussions based on the latest evidence, forming a consensus among Chinese experts on the multidisciplinary management of CIP.

Abstract Background To date, the optimal treatment for potentially resectable metastatic colorectal cancer (mCRC) patients has yet to be determined. Encouraging results have been reported in studies exploring the efficacy of triplet chemotherapy plus anti-epidermal growth factor receptor (anti-EGFR) target agents. Thus, we conducted a meta-analysis to evaluate the efficacy and safety of triplet chemotherapy plus anti-EGFR target agents. Methods We systematically searched the PubMed, Embase, and Web of Science databases from December 2004 to October 2021 for studies examining the efficacy of triplet chemotherapy plus anti-EGFR target agents in mCRC patients. The primary outcomes were the objective response rate (ORR) and R0 resection rate (R0RR), and the secondary outcomes were median progression-free survival (mPFS), median overall survival (mOS), and toxicity. Data were analyzed with R software 4.1.2. Results Fourteen studies comprising 762 patients with mCRC were included in this meta-analysis. Analysis with a random effects model revealed that after treatment with triplet chemotherapy plus anti-EGFR target agents, the pooled ORR was 82% (95% CI= 76–88%, I 2= 76%), and the pooled R0RR of colorectal liver metastasis (CLM) was 59% (95% CI= 49–68%, I 2= 60%). The mPFS ranged from 9.5 to 17.8 months, and the mOS ranged from 24.7 to 62.5 months. A total of 648 grade 3 or 4 adverse events were reported; the most commonly reported events were diarrhea (174/648), neutropenia (157/648), and skin toxicity (95/648), which had pooled prevalence rates of 29% (95% CI= 20–39%, I 2= 84%), 28% (95% CI= 20–37%, I 2= 77%), and 17% (95% CI= 11–24%, I 2= 66%), respectively. Conclusions Triplet chemotherapy plus anti-EGFR agents therapy seems to be capable of increasing the ORR of mCRC patients and the R0RR of CLM patients. The toxicity of this treatment is manageable. High-quality randomized controlled trial (RCT) studies are required for further validation.

A nomogram was constructed to predict the survival of patients with colorectal mucinous adenocarcinoma based on data extracted from the Surveillance, Epidemiology and End Result (SEER) database. Data collected between 2010 and 2018 were obtained from the SEER database. The log-rank test and multivariate Cox regression were performed to identify the independent prognostic factors for overall survival, which were further used to construct a nomogram model to predict 1-, 3-, and 5-year overall survival. In total, 10846 patients diagnosed with colorectal mucinous adenocarcinoma were enrolled in the study. The following 11 variables were associated with survival and were further incorporated into the nomogram: age at diagnosis, primary site, grade, tumour size, lymph node dissection, T stage, N stage, M stage, surgery for primary site, chemotherapy, and household income. The concordance index (C-index) value was 0.725 (95% confidence interval 0.716-0.734), and the receiver operating characteristic curves and calibration curves showed satisfactory predictive accuracy. Both the C-index and time-independent area under the curve values were greater than those of the American Joint Committee on Cancer 7th TNM classification system (both P < 0.001). In the validation group, the results were consistent with those of the training group, with a C-index value of 0.726 (95% confidence interval 0.713-0.739). This study constructed a practical nomogram to predict 1-, 3-, and 5-year OS for patients with colorectal colorectal mucinous adenocarcinoma based on SEER data.

This paper investigated the Mg-rich phase precipitation behavior and the corrosion performance throughout the thickness direction within the stirred zone (SZ) of friction stir welded (FSW) AA5083 alloy after 175 °C/100 h sensitization. For the as-welded SZ, the recrystallized grain size gradually decreased from the top surface (5.5 μm) to the bottom (3.7 μm). The top and bottom of the SZ maintained relatively high levels of deformed grains and accumulated strain induced by either shoulder pressing or pin stirring. After 175 °C/100 h sensitization, 100 nm thick β′-Al3Mg2 precipitates were present along the grain boundaries (GBs) in the SZ. The bottom of the SZ exhibited more continuous precipitates along GBs due to the fine grain size and the large fraction of high-angle grain boundaries (0.724%). Although the as-welded SZ exhibited excellent corrosion resistance, it became extremely vulnerable to intergranular cracking (IGC) and stress corrosion cracking (SCC) after sensitization. The large SCC susceptibility indices of the SZ samples ranged from 66.9% to 73.1%. These findings suggest that sensitization can strongly deteriorate the corrosion resistance of the Al-Mg FSW joint, which is of critical importance for the safety and reliability of marine applications.

Objective: To analyze the psychological status of patients with acute cerebral infarction (ACI), and to evaluate the effect of positive psychological intervention on the treatment and prognosis of ACI. Methods: This was retrospective study. Eighty patients with ACI admitted to Institute of Psychology, Chinese Academy of Sciences from January 2021 to September 2022 were included and randomly divided into observation group (n=40) and control group(n=40). Patients in the control group received conventional treatment and routine care, while those in the observation group received positive psychological intervention based on the control group. Adverse psychological scores, treatment and prognosis, and quality of life as well as nursing satisfaction etc. were analyzed and compared between the two groups. Results: Both groups showed a significant decrease in SDS and SAS scores at three months after the intervention compared with the pre-intervention period, with a statistically significant difference(P<0.05). After the intervention, the NIHSS score of both groups decreased, with a statistically significant difference(P<0.05). The FMAS and MBI scores increased in both groups compared with those before the intervention, with a statistically significant difference(P<0.05). The SS-QOL scores of both groups were significantly improved compared with before the intervention, with a statistically significant difference(P<0.05). The hospital satisfaction rate in the observation group was significantly higher than that in the control group, with a statistically significant difference (t=12.325, P=0.000). Conclusion: Positive psychological intervention offers a variety of benefits in the treatment of patients with ACI, such as may alleviate anxiety and depression, reduce neurological deficits, improving quality of life and motor function, and ameliorate the prognosis of patients. [ABSTRACT FROM AUTHOR]

In the education archive sharing system, when performing homomorphic ciphertext retrieval on the storage server, there are problems such as low security of shared data, confusing parameter management, and weak access control. This paper proposes an Education Archives Sharing and Access Control (EduASAC) system to solve these problems. The system research goal is to realize the sharing of security parameters, the execution of access control, and the recording of system behaviors based on the blockchain network, ensuring the legitimacy of shared membership and the security of education archives. At the same time, the system can be combined with most homomorphic ciphertext retrieval schemes running on the storage server, making the homomorphic ciphertext retrieval mechanism controllable. This paper focuses on the blockchain access control framework and specifically designs smart contracts that conform to the business logic of the EduASAC system. The former adopts a dual-mode access control mechanism combining Discretionary Access Control (DAC) and Mandatory Access Control (MAC) and improves the taggingmode after user permission verification based on the Authentication and Authorization for Constrained Environments (ACE) authorization framework ofOpen Authorization (OAuth) 2.0; the latter is used in the system to vote on nodes to join requests, define access control policies, execute permission verification processes, store, and share system parameters, and standardize the behavior of member nodes. Finally, the EduASAC system realizes the encryption, storage, retrieval, sharing, and access control processes of education archives. To verify the performance of the system, simulation experiments were conducted. The results show that the EduASAC system can meet the high security needs of education archive sharing and ensure the system’s high throughput, low latency, fast decision-making, and fine-grained access control ability. [ABSTRACT FROM AUTHOR]