Miracle-dz/UniFAR-FTUs huggingface dataset:
From fear and vulnerability to fortitude: sustaining psychological well-being in the face of the COVID-19 pandemic

Despite the societal increase in mental health disorders during the initial stages of the COVID-19 pandemic, many individuals were able to cope effectively with new mental health challenges. The heterogeneity in responses to adversity underscores the influence of protective factors in promoting coping behaviour. The current study investigates fortitude as a potential protective resource by examining the potential direct, mediating, and moderating roles of fortitude in the relationship between perceived vulnerability to disease, fear of COVID-19, and indices of psychological well-being. Participants (n = 355) were schoolteachers who completed the Perceived Vulnerability to Disease Questionnaire, Fear of COVID-19 Scale, Fortitude Questionnaire, UCLA Loneliness Scale, trait scale of the State-Trait Anxiety Inventory, Beck Hopelessness Scale, and the Center for Epidemiological Studies Depression Scale. Path analysis indicated that fortitude had a health-sustaining effect that was evident in its association with all indices of psychological well-being. Fortitude also mediated the relationship between perceived vulnerability to disease and depression, anxiety, and loneliness. In addition, fortitude moderated the relationship between fear of COVID-19 and depression. The significant moderating and mediating effects of fortitude on psychological outcomes support its potential for counterbalancing the negative mental health impacts of COVID-19. Interventions aimed at enhancing fortigenic appraisals of self and others may prove beneficial in promoting psychological well-being.
Factors affecting pain and physical functions in patients with knee osteoarthritis: An observational study

Knee osteoarthritis (KOA) is more common as people age and have a higher body mass index (BMI). We must know the role of various factors in pain and physical functions in patients with KOA. Therefore, the present study sought to examine the factors associated with pain and physical functions in individuals with KOA. This cross-sectional observational study included patients with KOA (n = 125; 57 men, 68 women; mean age 52.9 years). Using the visual analogue scale and a reduced version of the Western Ontario McMaster Universities Osteoarthritis Index, pain severity and physical functions were assessed. Demographic factors such as age, BMI, sex, and Kellgren-Lawrence (K/L) radiographic grade of KOA were analyzed. Age (R = 0.263, P < .001), BMI (R = 0.379, P < .001), and K/L grade (R = 0.844, P < .001) were significantly associated with knee pain. Similarly, age (R = 0.310, P < .001), BMI (R = 0.374, P < .001), and K/L grade (R = 0.862, P < .001) were associated with physical functions. No significant association of sex with pain (R = 0.071, P = .440) and physical functions (R = 0.055, P = .545) was observed. Age, BMI, and K/L grade explained 71% and 74% of knee pain and physical functions, respectively. Age, BMI, and radiographic (K/L) grades were associated with pain and physical functions in patients with KOA. K/L grade was the most significant predictor of pain and physical functions in KOA.
Artificial intelligence in gastric cancer: applications and challenges

Abstract Gastric cancer (GC) is one of the most common malignant tumors with high mortality. Accurate diagnosis and treatment decisions for GC rely heavily on human experts' careful judgments on medical images. However, the improvement of the accuracy is hindered by imaging conditions, limited experience, objective criteria, and inter-observer discrepancies. Recently, the developments of machine learning, especially deep-learning algorithms, have been facilitating computers to extract more information from data automatically. Researchers are exploring the far-reaching applications of artificial intelligence (AI) in various clinical practices, including GC. Herein, we aim to provide a broad framework to summarize current research on AI in GC. In the screening of GC, AI can identify precancerous diseases and assist in early cancer detection with endoscopic examination and pathological confirmation. In the diagnosis of GC, AI can support tumor-node-metastasis (TNM) staging and subtype classification. For treatment decisions, AI can help with surgical margin determination and prognosis prediction. Meanwhile, current approaches are challenged by data scarcity and poor interpretability. To tackle these problems, more regulated data, unified processing procedures, and advanced algorithms are urgently needed to build more accurate and robust AI models for GC.
Resolved hepatitis B infection in patients receiving immunosuppressive therapy: Monitor versus prophylaxis against viral reactivation

Risk of hepatitis B virus reactivation (HBVr) in patients with resolved HBV infection receiving immunosuppressive therapy has been a growing concern, particularly in the era of biological and targeted therapies. HBV monitoring versus antiviral prophylaxis against HBVr in those patients remains controversial. The aim of the study was to determine the incidence of HBVr and HBV-related hepatitis in resolved HBV patients who received immunosuppressive therapy with or without antiviral prophylaxis. This retrospective study included 64 patients with resolved HBV infection who received different regimens of immunosuppressive medications, with moderate risk of HBVr, for variable underlying diseases. Patients who had chronic HBV infection or other viral infections were excluded. Patients who received B-cell depleting therapies were ruled out. They were divided into 2 groups: group 1 included 31 patients who received immunosuppressive therapy without antiviral prophylaxis, and group 2 included 33 patients who received antiviral prophylaxis (entecavir) within 2 weeks of commencing the immunosuppressive therapy. HBVr, HBV-related hepatitis, and HBV-unrelated hepatitis were assessed along a 1-year duration. The overall HBVr incidence was 1.56% (1/64). This patient who had HBVr was seen in group 1. There were no significant differences between the 2 groups regarding the incidence of HBVr, HBV-related hepatitis, HBV-unrelated hepatitis, and immunosuppressive therapy interruption along a 1-year duration. Based on this retrospective study, close monitoring was equal to antiviral prophylaxis regarding the outcome of resolved HBV patients who received moderate risk immunosuppressive therapy. HBV treatment should commence once HBVr is confirmed.
Mutant Kras and mTOR crosstalk drives hepatocellular carcinoma development via PEG3/STAT3/BEX2 signaling

Background & Aims: Abnormal activation of mTOR through loss of tuberous sclerosis complex (Tsc) frequently occurs in hepatocellular carcinoma (HCC). Mutant Kras could induce aggressive HCCs. Here, we aim to identify the predictive or prognostic biomarkers for HCC patients with Kras mutant and mTOR hyperactivation, and to provide potential therapeutic approaches for this subtype of HCCs. Methods: We generated transgenic mice in which hepatocytic mTOR was hyperactivated through Tsc1 insufficiency with or without oncogenic KrasG12D. Bioinformatics and gain- or loss-of-function studies were used to illustrate the mechanisms underlying oncogenic pathway alterations. Transcriptional profiling was used to identify biomarker for the subtype of HCC. The therapeutic efficacy of targeting mTOR was tested in a liver orthotropic homogeneous murine model. Results: Oncogenic KrasG12D facilitated mTOR activation via the Mek/Erk/ROS axis, leading to HCC tumorigenesis and metastasis. Inhibition of Mek/Erk enhanced the anticancer effect of mTOR inhibitor via reduction of mTOR activity. Paternally expressed 3 (PEG3) was responsible for Kras/Erk- and mTOR-driven HCC. Elevated PEG3 protein interacted with STAT3 and promoted its transcriptional activity, resulting in the upregulation of proliferation- and metastasis-related proteins. Targeting mTOR significantly inhibited these actions in vitro and in vivo. Moreover, in clinical samples, PEG3 was identified as a new poor prognostic marker for HCC patients with Kras/Erk and mTOR hyperactivation. Conclusion: These findings reveal the underlying mechanism of hepatocytic Kras/Erk-driven mTOR activation and its downstream targets (PEG3 and STAT3) in HCC, identify PEG3 as a new prognostic biomarker for HCC with Kras/Erk and mTOR hyperactivation, and provide a potential therapeutic strategy for this subset of HCC patients.
Relationship between intraoperative tidal volume and acute kidney injury following off-pump coronary artery bypass grafting: A retrospective observational study

The effect of intraoperative tidal volume (VT) on clinical outcomes after off-pump coronary artery bypass grafting (OPCAB) has not been studied. The aim of this study was to assess the relationship between intraoperative tidal volume (VT) and acute kidney injury (AKI ) after OPCAB. A total of 1049 patients who underwent OPCAB between January 2009 and December 2018 were analyzed. Patients were divided into high (>8 ml/kg) and low VT (≤8 ml/kg) groups (intraoperative median VT standardized to predicted body weight). The data were fitted using a multivariable logistic regression model. Subgroup analyses were performed according to age, sex, comorbidities, preoperative laboratory variables, operative profiles, and Cleveland score. The risk of AKI was not significantly higher in the high than the low VT group (OR: 1.15, 95% CI: 0.80–1.66; P = .459); however, subgroup analyses revealed that a high VT may increase the risk of AKI in males, patients aged < 70 years, with chronic kidney disease, a left ventricular ejection fraction < 35%, or a long duration of surgery. High intraoperative VTs were not associated with an increased risk of AKI after OPCAB. Nonetheless, it may increase the risk of AKI in certain subgroups, such as younger age, male sex, reduced renal and cardiac function, and a long surgery time.
Clearance pathways of near-infrared-II contrast agents

Near-infrared-II (NIR-II) bioimaging gradually becomes a vital visualization modality in the real-time investigation for fundamental biological research and clinical applications. The favorable NIR-II contrast agents are vital in NIR-II imaging technology for clinical translation, which demands good optical properties and biocompatibility. Nevertheless, most NIR-II contrast agents cannot be applied to clinical translation due to the acute or chronic toxicity caused by organ retention in vivo imaging. Therefore, it is critical to understand the pharmacokinetic properties and optimize the clearance pathways of NIR-II contrast agents in vivo to minimize toxicity by decreasing organ retention. In this review, the clearance mechanisms of biomaterials, including renal clearance, hepatobiliary clearance, and mononuclear phagocytic system (MPS) clearance, are synthetically discussed. The clearance pathways of NIR-II contrast agents (classified as inorganic, organic, and other complex materials) are highlighted. Successively analyzing each contrast agent barrier, this review guides further development of the clearable and biocompatible NIR-II contrast agents.
Athlete perceptions of flavored, menthol-enhanced energy gels ingested prior to endurance exercise in the heat

ABSTRACT Background L-menthol evokes a cooling sensation by activating cold sensing cation channels. Menthol-enhanced fluids can be ergogenic during exercise in the heat by improving thermal perception; hence, the addition of menthol to energy gels may benefit athletes. Previously, unflavored menthol gels were deemed acceptable at 0.1% concentration, but no research has been undertaken on menthol gels with additional flavoring. Therefore, we determined athlete perceptions of flavored energy gels with different menthol concentrations. Methods With a randomized, crossover, double-blind, placebo-controlled design, 27 athletes (34.8 ± 6.7 y, 9 females) ingested an energy gel with either 0.1%, 0.3%, 0.5%, or 0.7% menthol concentration, or a non-menthol, flavor-matched placebo (CON), on separate occasions before outdoor exercise. Gels were rated for cooling sensation, irritation, flavor, and overall experience on 100-point sensory and hedonic labeled magnitude scales. The duration of any cooling sensation was also reported. Results All menthol gels delivered a greater cooling sensation compared to CON (7.4 ± 8.1 AU) with a significantly greater response for 0.7% (59.9 ± 20.5 AU) and 0.5% (57.7 ± 21.8 AU), compared to all others. Irritation was higher for all menthol gels compared to CON (3.4 ± 7.2 AU) and for 0.7% compared to 0.1% (31.1 ± 31.0 vs. 16.3 ± 21.0 AU, p = 0.041), with none rated above a ‘mild-moderate’ intensity. The menthol gels delivered a significantly longer cooling sensation duration (12.3-19.6 min) versus CON (2.2 ± 4.8 min) with no difference between menthol gels. Conclusion A flavored menthol energy gel at 0.1–0.7% concentration provides a cooling sensation for athletes when ingested before exercise. The 0.5% concentration is recommended to maximize the cooling sensation whilst minimizing irritation.
IFI44L and C1QTNF5 as promising biomarkers of proliferative diabetic retinopathy

Proliferative diabetic retinopathy (PDR) is a world-wide leading cause of blindness among adults and may be associated with the influence of genetic factors. It is significant to search for genetic biomarkers of PDR. In our study, we collected genomic data about PDR from gene expression omnibus (GEO) database. Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were carried out. The gene module with the highest gene significance (GS) was defined as the key module. Hub genes were identified by Venn diagram. Then we verified the expression of hub genes in validation data sets and built a diagnostic model by least absolute shrinkage and selection operator (LASSO) regression. Enrichment analysis, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis (GSEA) and construction of a protein–protein interaction (PPI) network were conducted. In GSE60436, we identified 466 DEGs. WGCNA established 14 gene modules, and the blue module (GS = 0.64), was the key module. Interferon (IFN)-induced protein 44-like (IFI44L) and complement C1q tumor necrosis factor-related protein 5 (C1QTNF5) were identified as hub genes. The expression of hub genes in GEO datasets was verified and a diagnostic model was constructed by LASSO as follows: index = IFI44L * 0.0432 + C1QTNF5 * 0.11246. IFI44L and C1QTNF5 might affect the disease progression of PDR by regulating metabolism-related and inflammatory pathways. IFI44L and C1QTNF5 may play important roles in the disease process of PDR, and a LASSO regression model suggested that the 2 genes could serve as promising biomarkers of PDR.
Use self-gravitation traction to treat lumbar disc herniation: Study protocol for a double-center, single-blind randomized controlled trial

Background: Self-gravitation traction is 1 of the most popular treatments for lumbar disc herniation (LDH). This study aims to evaluate the effectiveness and safety of the self-gravitation traction device in the treatment of LDH and to confirm its positive treatment effect. Methodology: This trial is designed as a pragmatic double-center, single-blind, and 3-arm (1:1:1 ratio) randomized controlled trial. The recruited patients with LDH will be randomly allocated to the intervention (traction weight is 40% or 60% of its body weight) or control (traction weight is 20% of its body weight) group. Traction will be completed within 6 consecutive weeks (3 times a week), with 10 minutes of traction for the first 3 weeks, 20 minutes of traction for the next 3 weeks. After the experiment is completed, we will establish an experiment-related database. The software of SPSS, version 21 (SPSS Inc. Chicago, IL) will be used for statistical analysis, and measurement data will be expressed via mean and standard deviation (mean ± SD). Discussion: Once the trial is completed, we will publish the study in journals in both Chinese and English to promote the dissemination and use of the results. In addition, we also plan to promote the research results at various academic conferences both domestically and internationally.
Efficacy of guselkumab compared with adalimumab for psoriasis: a meta-analysis of randomized controlled studies

Introduction The efficacy of guselkumab versus adalimumab for psoriasis remains controversial. Aim We conducted a systematic review and meta-analysis to explore the influence of guselkumab versus adalimumab on treatment efficacy for psoriasis. Material and methods We have searched PubMed, Embase, Web of Science, EBSCO, and Cochrane library databases for randomized controlled trials (RCTs) published until March 2021 and assessing the efficacy and safety of guselkumab versus adalimumab for psoriasis. This meta-analysis was performed using the random-effects model. Results Three RCTs were included in the meta-analysis. Overall, compared with adalimumab for psoriasis, guselkumab was associated with improved PASI 100 (OR = 2.18; 95% CI: 1.47 to 3.23; p = 0.0001), PASI 90 (OR = 2.63; 95% CI: 2.11 to 3.27; p < 0.00001), PASI 75 (OR = 3.10; 95% CI: 2.35 to 4.08; p < 0.00001) and PGA 0/1 (OR = 2.04; 95% CI: 1.26 to 3.31; p = 0.004), as well as decreased DLQI (SMD = –0.24; 95% CI: –0.34 to –0.13; p < 0.00001). In addition, guselkumab resulted in higher DLQI score 0/1 (OR = 1.88; 95% CI: 1.51 to 2.33; p < 0.00001) than adalimumab. Conclusions Guselkumab showed better efficacy than adalimumab for psoriasis.
Does the division of the inferior pulmonary ligament in upper lobectomy result in improved short-term clinical outcomes and long-term survival?

Summary A best evidence topic in thoracic surgery was written according to a structured protocol. The question addressed was ‘Does the division of the inferior pulmonary ligament (IPL) in upper lobectomy result in improved short-term clinical outcomes and long-term survival? ’. Altogether 43 papers were found using the reported search, of which 6 studies represented the best evidence to answer the clinical question, including a previous best evidence topic study, a meta-analysis and 4 retrospective cohort studies. The author, journal, date and country of publication, patient group studied, study type and relevant outcomes and results of these papers are tabulated. Most of the enrolled studies reported that there is no significant difference between the division groups and the preservation groups in terms of drainage time, drainage volume, postoperative dead space and complications. While 3 cohort studies revealed unfavoured postoperative pulmonary function in the division groups, including lung volume, forced vital capacity and forced expiratory volume in 1 s. The previous meta-analysis and a recent cohort study also found that the division of IPL might lead to increased bronchus angle change or torsion. Moreover, 2 cohort studies found that the division of IPL could not improve the long-term survival of patients undergoing upper lobectomy. Current evidence showed that dividing the IPL could not result in clinical benefits but might lead to decreased pulmonary function instead. Therefore, we recommended not dissecting the IPL routinely during upper lobectomy.
Quantification of Radiomics features of Peritumoral Vasogenic Edema extracted from fluid‐attenuated inversion recovery images in glioblastoma and isolated brain metastasis, using T1‐dynamic contrast‐enhanced Perfusion analysis

The peritumoral vasogenic edema (PVE) in brain tumors exhibits varied characteristics. Brain metastasis (BM) and meningioma barely have tumor cells in PVE, while glioblastoma (GB) show tumor cell infiltration in most subjects. The purpose of this study was to investigate the PVE of these three pathologies using radiomics features in FLAIR images, with the hypothesis that the tumor cells might influence textural variation. Ex vivo experimentation of radiomics analysis of T1‐weighted images of the culture medium with and without suspended tumor cells was also attempted to infer the possible influence of increasing tumor cells on radiomics features. This retrospective study involved magnetic resonance (MR) images acquired using a 3.0‐T MR machine from 83 patients with 48 GB, 21 BM, and 14 meningioma. The 93 radiomics features were extracted from each subject's PVE mask from three pathologies using T1‐dynamic contrast‐enhanced MR imaging. Statistically significant (< 0.05, independent samples T‐test) features were considered. Features maps were also computed for qualitative investigation. The same was carried out for T1‐weighted cell line images but group comparison was carried out using one‐way analysis of variance. Further, a random forest (RF)‐based machine learning model was designed to classify the PVE of GB and BM. Texture‐based variations, especially higher nonuniformity values, were observed in the PVE of GB. No significance was observed between BM and meningioma PVE. In cell line images, the culture medium had higher nonuniformity and was considerably reduced with increasing cell densities in four features. The RF model implemented with highly significant features provided improved area under the curve results. The possible infiltrative tumor cells in the PVE of the GB are likely influencing the texture values and are higher in comparison with BM PVE and may be of value in the differentiation of solitary metastasis from GB. However, the robustness of the features needs to be investigated with a larger cohort and across different scanners in the future.
Factors limiting presence: Perceptions of nurses working in a public psychiatric hospital

Background Presence is a therapeutic skill that has a healing effect not only on the mental healthcare user but also the nurse. There was a need to explore nurses’ perceptions on factors that limit presence, especially in a public psychiatric hospital in a rural province such as North West, South Africa, where there are limited resources and nurses need to rely heavily on their therapeutic use of self. Objectives To report on nurses’ perceptions of factors limiting presence when working in a public psychiatric hospital. Method A qualitative descriptive inquiry was applied, with purposive sampling. Semistructured individual interviews were held with 10 nurses. Thematic data analysis was applied. Results Intrapersonal factors that were found to limit presence arose from the view that mental healthcare users (MHUs) are difficult to engage with; the tendency to view ‘good care’ primarily as physical care with limited insight into presence was also recognised. Interpersonal and transpersonal factors related to difficulties in communicating with MHUs and in the work environment. Conclusion Addressing factors that limit presence were found to require courage, the overcoming of interpersonal distance and a transformational process. Contribution This article contributes important insights that can be used by nurse leaders to promote the practice of presence to improve the quality of psychiatric nursing care in developing contexts, such as a rural province in South Africa.
High-quality AlInN for high index contrast Bragg mirrors lattice matched to GaN

We report on the growth by metalorganic vapor phase epitaxy of high-quality Al1−xInxN layers and AlInN/GaN Bragg mirrors near lattice matched to GaN. Layers are grown on a GaN buffer layer with no cracks over full 2 in. sapphire wafers. The index contrast relative to GaN is around 7% for wavelengths ranging from 950 to 450 nm. We demonstrate the growth of a crack-free, 20 pairs Al0.84In0. 16N/GaN distributed Bragg reflector centered at 515 nm with an over 90% reflectivity and a 35 nm stop band. The growth of high quality AlInN lattice matched to GaN may represent a breakthrough in GaN-based optoelectronics which is presently limited by the lack of a high-index-contrast and high-band gap lattice-matched material.