Miracle-dz/UniFAR-FTUs huggingface dataset:
The application of cognitive behavioral therapy in patients with schizophrenia: A review

The aim of this review is to explore the clinical nursing application of cognitive behavioral therapy (CBT) in patients with schizophrenia. A literature search was conducted using the CINAHL and MEDLINE databases. The database search occurred during the month of December 2022. This article comprehensively summarizes the theoretical basis of CBT in improving schizophrenia in clinical nursing, its application in managing symptoms and improving social function, as well as research progress in this field. There are still inconsistencies in the research results on CBT, but overall, psychological intervention combined with drug treatment is more effective than conventional treatment alone. If social function training can be added at the same time, it is believed that it will have better effects on clinical treatment and can maintain long-lasting effectiveness. Only in this way can patients truly understand and recognize the disease, improve treatment compliance, and ultimately achieve the goal of improving prognosis and quality of life.
Kompakte Mehrtorantennen für die adaptive Keulenformung

Im Rahmen dieser Arbeit wurden kompakte Mehrtorantennen zur Verwendung in adaptiven Antennensystemen mit digitaler Keulenformung in Hinblick auf ihre spezifischen Probleme und deren Losung betrachtet. Ausgangspunkt des Interesses an kompakten Antennen ist der Versuch auf einer in ihrer geometrischen Ausdehnung begrenzten Plattform, die Zahl der Antennenelemente und damit die Zahl der Antennentore und Freiheitsgrade durch Verringerung des Elementabstands auf deutlich unter Lambda Halbe zu erhohen. Die daraus resultierenden Mehrtorantennen weisen starke Verkopplung der Elemente auf, was dazu fuhrt, dass die Torrichtcharakteristiken teilweise korreliert sind und eine Reduktion des Antennengewinns auftritt. Angesichts dieser Problematik wurde das Konzept des Anpassungs- und Entkopplungsnetzwerks (AEN) vorgestellt. Es wurde gezeigt, dass sich durch Hinzufugen eines AEN eine kompakte Mehrtorantenne realisieren lasst, deren Tore im Bereich der Betriebsfrequenz entkoppelt sind und zueinander orthogonale (unkorrelierte) Richtcharakteristiken liefern. Es wurde auch ein allgemeines Konzept zur Synthese eines AEN aus konzentrierten Bauelementen vorgestellt, welches sich auf Strukturen aus verteilten Elementen erweitern lasst. Dieses neue Konzept wurde anhand dreier Antennen exemplarisch verifiziert. Die Antennen inklusive ihres AEN wurden numerisch simuliert und anschliesend gefertigt und experimentell charakterisiert. Damit konnte die Tauglichkeit dieses neuen Konzepts fur praktische Anwendungen erfolgreich demonstriert werden.
Discriminative Low-Rank Subspace Learning with Nonconvex Penalty

Subspace learning has been widely utilized to extract discriminative features for classification task, such as face recognition, even when facial images are occluded or corrupted. However, the performance of most existing methods would be degraded significantly in the scenario of that data being contaminated with severe noise, especially when the magnitude of the gross corruption can be arbitrarily large. To this end, in this paper, a novel discriminative subspace learning method is proposed based on the well-known low-rank representation (LRR). Specifically, a discriminant low-rank representation and the projecting subspace are learned simultaneously, in a supervised way. To avoid the deviation from the original solution by using some relaxation, we adopt the Schatten [Formula: see text]-norm and [Formula: see text]-norm, instead of the nuclear norm and [Formula: see text]-norm, respectively. Experimental results on two famous databases, i.e. PIE and ORL, demonstrate that the proposed method achieves better classification scores than the state-of-the-art approaches.
Cytoplasmic SIRT1 promotes paclitaxel resistance in ovarian carcinoma through increased formation and survival of polyploid giant cancer cells

Therapeutic resistance is a notable cause of death in patients with ovarian carcinoma. Polyploid giant cancer cells (PGCCs), commonly arising in tumor tissues following chemotherapy, have recently been considered to contribute to drug resistance. As a type III deacetylase, Sirtuin1 (SIRT1) plays essential roles in the cell cycle, cellular senescence, and drug resistance. Accumulating evidence has suggested that alteration in its subcellular localization via nucleocytoplasmic shuttling is a critical process influencing the functions of SIRT1. However, the roles of SIRT1 subcellular localization in PGCC formation and subsequent senescence escape remain unclear. In this study, we compared the differences in the polyploid cell population and senescence state of PGCCs following paclitaxel treatment between tumor cells overexpressing wild‐type SIRT1 (WT SIRT1) and those expressing nuclear localization sequence (NLS)‐mutated SIRT1 (SIRT1NLSmt). We investigated the involvement of cytoplasmic SIRT1 in biological processes and signaling pathways, including the cell cycle and cellular senescence, in ovarian carcinoma cells' response to paclitaxel treatment. We found that the SIRT1NLSmt tumor cell population contained more polyploid cells and fewer senescent PGCCs than the SIRT1‐overexpressing tumor cell population. Comparative proteomic analyses using co‐immunoprecipitation (Co‐IP) combined with liquid chromatography–mass spectrometry (LC‐MS)/MS showed the differences in the differentially expressed proteins related to PGCC formation, cell growth, and death, including CDK1 and CDK2, between SIRT1NLSmt and SIRT1 cells or PGCCs. Our results suggested that ovarian carcinoma cells utilize polyploidy formation as a survival mechanism during exposure to paclitaxel‐based treatment via the effect of cytoplasmic SIRT1 on PGCC formation and survival, thereby boosting paclitaxel resistance. © 2023 The Pathological Society of Great Britain and Ireland.
Associations between protein to non-protein ratio and intakes of other dietary components in a cohort aged 65–75 years: the Nutrition for Healthy Living Study

Abstract Objective: Diets with a low proportion of energy from protein have shown to cause overconsumption of non-protein energy, known as Protein Leverage. Older adults are susceptible to nutritional inadequacy. The aim was to investigate associations between protein to non-protein ratio (P:NP) and intakes of dietary components and assess the nutritional adequacy of individuals aged 65–75 years from the Nutrition for Healthy Living (NHL) Study. Design: Cross-sectional. Nutritional intakes from seven-day weighed food records were compared with the Nutrient Reference Values for Australia and New Zealand, Australian Guide to Healthy Eating, Australian Dietary Guidelines and World Health Organisation Free Sugar Guidelines. Associations between P:NP and intakes of dietary components were assessed through linear regression analyses. Setting: NHL Study. Participants: 113 participants. Results: Eighty-eight (59 female and 29 male) with plausible dietary data had a median (interquartile range) age of 69 years (67–71), high education level (86 %) and sources of income apart from the age pension (81 %). Substantial proportions had intakes below recommendations for dairy and alternatives (89 %), wholegrain (89 %) and simultaneously exceeded recommendations for discretionary foods (100 %) and saturated fat (92 %). In adjusted analyses, P:NP (per 1 % increment) was associated with lower intakes of energy, saturated fat, free sugar and discretionary foods and higher intakes of vitamin B12, Zn, meat and alternatives, red meat, poultry and wholegrain % (all P < 0·05). Conclusions: Higher P:NP was associated with lower intakes of energy, saturated fat, free sugar and discretionary. Our study revealed substantial nutritional inadequacy in this group of higher socio-economic individuals aged 65–75 years.
Autoregulated and Non-Autoregulated Blood Flow Restriction on Acute Arterial Stiffness

Abstract This study aimed to investigate the acute effects of autoregulated and non-autoregulated applied pressures during blood flow restriction resistance exercise to volitional fatigue on indices of arterial stiffness using the Delfi Personalized Tourniquet System. Following a randomized autoregulated or non-autoregulated blood flow restriction familiarization session, 20 physically active adults (23±5 years; 7 females) participated in three randomized treatment-order sessions with autoregulated and non-autoregulated and no blood flow restriction training. Participants performed four sets of dumbbell wall squats to failure using 20% of one repetition maximum. Blood flow restriction was performed with 60% of supine limb occlusion pressure. Testing before and post-session included an ultrasonic scan of the carotid artery, applanation tonometry, and blood pressure acquisition. Carotid-femoral pulse wave velocity increased in the non-autoregulated and no blood flow restriction training groups following exercise while carotid-radial pulse wave velocity increased in the no blood flow restriction training group (all p<0.05). Carotid-femoral pulse wave velocity exhibited an interaction effect between autoregulated and non-autoregulated blood flow restriction in favor of autoregulated blood flow restriction (p<0.05). Autoregulated blood flow restriction training does not influence indices of arterial stiffness while non-autoregulated and no blood flow restriction training increases central stiffness.
Assessing changes in adolescent girls’ and young women’s sexual and reproductive health service utilisation following a COVID-19 lockdown in eSwatini

ABSTRACT The effects of COVID-19-associated restrictions on youth sexual and reproductive health (SRH) care during the pandemic remain unclear, particularly in sub-Saharan Africa. This study uses interrupted time series analyses to assess changes in SRH care utilisation (including visits for HIV testing and treatment, family planning, and antenatal care) adolescent girls’ and young women’s (AGYW; aged 15–24 years old) in eSwatini following COVID-19 lockdown beginning in March 2020. SRH utilisation data from 32 clinics in the Manzini region that remained open throughout the 2020 COVID-19 period were extracted from eSwatini’s electronic health record system. We tabulated and graphed monthly visits (both overall and by visit type) by AGYW during the two-year period between January 2019 and December 2020. Despite the March to September 2020 lockdown, we did not detect significant changes in monthly visit trends from 2019 to 2020. Our findings suggest little change to AGYW’s SRH utilisation in eSwatini during the 2020 COVID-19 lockdown period.
Pathogenic myelin-specific antibodies in multiple sclerosis target conformational proteolipid protein 1–anchored membrane domains

B cell clonal expansion and cerebrospinal fluid (CSF) oligoclonal IgG bands are established features of the immune response in multiple sclerosis (MS). Clone-specific recombinant monoclonal IgG1 Abs (rAbs) derived from MS patient CSF plasmablasts bound to conformational proteolipid protein 1 (PLP1) membrane complexes and, when injected into mouse brain with human complement, recapitulated histologic features of MS pathology: oligodendrocyte cell loss, complement deposition, and CD68+ phagocyte infiltration. Conformational PLP1 membrane epitopes were complex and governed by the local cholesterol and glycolipid microenvironment. Abs against conformational PLP1 membrane complexes targeted multiple surface epitopes, were enriched within the CSF compartment, and were detected in most MS patients, but not in inflammatory and noninflammatory neurologic controls. CSF PLP1 complex Abs provide a pathogenic autoantibody biomarker specific for MS.
Inverse problems in scattering and imaging : proceedings of a NATO advanced research workshop held at Cape Cod, USA, 14-19 April 1991

From one to three dimensions in inverse problems (P C Sabatier). Linearized and approximate methods for inversion of scattered field data (M A Fiddy). Current research topics in diffraction tomography (A J Devaney). The inverse scattering problem for electromagnetic waves (D Colton). Sampling theory, resolution limits and inversion methods (M Bertero). Astronomy - the ultimate inverse problem (J C Brown). Inverse problem in neutron reflection (Xiao-Lin Zhou). Inverse problems in seismology (J Trampert). Uniqueness and nonuniqueness in diffuse tomography (F A Grunbaum). Parametric reconstruction in biomagnetic imaging (A K Louis). Inverse problems in confocal microscopy (E R Pike). Wavelets in inverse optics (B De Facio). Effects of coherence in inverse optics (F Gori). An inverse scattering approach to the design of multimode optical waveguides for image transmission (A K Jordan). Elastic wave inverse scattering as applied to nondestructive evaluation (K J Langenberg). Diffraction tomography applications in seismics and medicine (J J Stamnes). Thermal imaging by microwave radiometry (F Bardati). Some applications of diffraction tomography to electromagnetics - the particular case of microwaves (J Ch Bolomey). A critical survey of regularized inversion methods (C De Mol). Statistical inversion methods (G De Villiers). Optimality in regularisation (A R Davies). Numerical algorithms for one-dimensional inverse scattering problems (M Corvi).
Neutrophil extracellular traps (NET): not only antimicrobial but also modulators of innate and adaptive immunities in inflammatory autoimmune diseases

Polymorphonuclear neutrophils (PMN) represent one of the first lines of defence against invading pathogens and are the most abundant leucocytes in the circulation. Generally described as pro-inflammatory cells, recent data suggest that PMN also have immunomodulatory capacities. In response to certain stimuli, activated PMN expel neutrophil extracellular traps (NET), structures made of DNA and associated proteins. Although originally described as an innate immune mechanism fighting bacterial infection, NET formation (or probably rather an excess of NET together with impaired clearance of NET) may be deleterious. Indeed, NET have been implicated in the development of several inflammatory and autoimmune diseases as rheumatoid arthritis or systemic lupus erythematosus, as well as fibrosis or cancer. They have been suggested as a source of (neo)autoantigens or regulatory proteins like proteases or to act as a physical barrier. Different mechanisms of NET formation have been described, leading to PMN death or not, depending on the stimulus. Interestingly, NET may be both pro-inflammatory and anti-inflammatory and this probably partly depends on the mechanism, and thus the stimuli, triggering NET formation. Within this review, we will describe the pro-inflammatory and anti-inflammatory activities of NET and especially how NET may modulate immune responses.
Mast cell activation in lungs during SARS-CoV-2 infection associated with lung pathology and severe COVID-19

Lung inflammation is a hallmark of Coronavirus disease 2019 (COVID-19) in patients who are severely ill, and the pathophysiology of disease is thought to be immune mediated. Mast cells (MCs) are polyfunctional immune cells present in the airways, where they respond to certain viruses and allergens and often promote inflammation. We observed widespread degranulation of MCs during acute and unresolved airway inflammation in SARS-CoV-2-infected mice and nonhuman primates. Using a mouse model of MC deficiency, MC-dependent interstitial pneumonitis, hemorrhaging, and edema in the lung were observed during SARS-CoV-2 infection. In humans, transcriptional changes in patients requiring oxygen supplementation also implicated cells with a MC phenotype in severe disease. MC activation in humans was confirmed through detection of MC-specific proteases, including chymase, the levels of which were significantly correlated with disease severity and with biomarkers of vascular dysregulation. These results support the involvement of MCs in lung tissue damage during SARS-CoV-2 infection in animal models and the association of MC activation with severe COVID-19 in humans, suggesting potential strategies for intervention.
Determinants of life dissatisfaction among adults in the United States: A cross-sectional analysis of the National Health Interview Survey

The number of Americans who report dissatisfaction with their quality of life has increased over the past several decades. This study investigated social- and health-related determinants of life dissatisfaction among adults in the United States (US). We conducted a cross-sectional observational study using data from the 2021 National Health Interview Survey, a nationally representative sample of adults in the US. We analyzed the association between self-reported life dissatisfaction and independent variables including demographics, family-level information, health status and conditions, functioning and disability, health insurance coverage, chronic pain, occupational variables, socioeconomic indicators, health-related behaviors, and psychological distress indicators. Survey multivariable logistic regression was used to determine the association among social- and health-related determinants and life dissatisfaction. The relative importance of each variable in the final model was determined using Shapley Additive Explanations values (0–100% scale). Among the 253.2 million civilian noninstitutionalized adults, 12.2 million (4.8%) reported life dissatisfaction. Recent psychological distress, unmarried status, poor general health, lack of social/emotional support, and lower food security were independently associated with life dissatisfaction (all P < .001). The relative importance of these variables in predicting life dissatisfaction was 39.3% for recent psychological distress, 22.2% for unmarried status, 18.3% for poor general health, 13.4% for lack of social/emotional support, and 6.9% for lower food security. Additionally, racial inequities were identified in the prevalence of these factors. Life dissatisfaction among adults in the US is associated with social- and health-related factors that are more prevalent in racial minority groups. The study findings suggest that resource prioritization should be targeted towards individuals with these factors, with particular emphasis on racial minority groups. This study aligns with US health policy initiatives and the results may help policymakers address the underlying factors contributing to life dissatisfaction among the US population.
Resting-state fMRI signals contain spectral signatures of local hemodynamic response timing

Functional magnetic resonance imaging (fMRI) has proven to be a powerful tool for noninvasively measuring human brain activity; yet, thus far, fMRI has been relatively limited in its temporal resolution. A key challenge is understanding the relationship between neural activity and the blood-oxygenation-level-dependent (BOLD) signal obtained from fMRI, generally modeled by the hemodynamic response function (HRF). The timing of the HRF varies across the brain and individuals, confounding our ability to make inferences about the timing of the underlying neural processes. Here, we show that resting-state fMRI signals contain information about HRF temporal dynamics that can be leveraged to understand and characterize variations in HRF timing across both cortical and subcortical regions. We found that the frequency spectrum of resting-state fMRI signals significantly differs between voxels with fast versus slow HRFs in human visual cortex. These spectral differences extended to subcortex as well, revealing significantly faster hemodynamic timing in the lateral geniculate nucleus of the thalamus. Ultimately, our results demonstrate that the temporal properties of the HRF impact the spectral content of resting-state fMRI signals and enable voxel-wise characterization of relative hemodynamic response timing. Furthermore, our results show that caution should be used in studies of resting-state fMRI spectral properties, because differences in fMRI frequency content can arise from purely vascular origins. This finding provides new insight into the temporal properties of fMRI signals across voxels, which is crucial for accurate fMRI analyses, and enhances the ability of fast fMRI to identify and track fast neural dynamics.
Association of Nilotinib With Cardiovascular Diseases in Patients With Chronic Myelogenous Leukemia: A National Population-Based Cohort Study

Abstract Background Tyrosine kinase inhibitor (TKI) treatment has been identified to be a risk factor for metabolic syndrome and cardiovascular diseases (CVDs) in patients diagnosed with chronic myeloid leukemia (CML). However, the specific contribution of post-TKI metabolic syndrome and the individual TKIs, including imatinib, nilotinib, and dasatinib, contribute to the development of CVDs remains unclear. Methods We conducted a nationwide database to investigate the incidence of post-TKI metabolic syndrome, including diabetes, hyperlipidemia, and hypertension, as well as their association with CVDs. To compare the risk of post-TKI comorbidities and CVDs among TKIs, we utilized the incidence rate ratio (IRR), and subdistribution hazard ratio (SHR) calculated from multiple Fine-Gray models. Results A total of 1211 patients without diabetes, 1235 patients without hyperlipidemia, and 1074 patients without hypertension were enrolled in the study. The incidence rate of post-TKI diabetes and hyperlipidemia was the highest in patients treated with nilotinib compared to imatinib and dasatinib (IRRs ≥ 3.15, Ps ≤ .047). After adjusting for confounders, nilotinib remained a significant risk factor for post-TKI diabetes and hyperlipidemia at an SHR of 3.83 (P < .001) and 5.15 (P < .001), respectively. Regarding the occurrence of CVDs, patients treated with nilotinib were more likely to develop CVDs than those treated with imatinib in non-hyperlipidemic group (IRR = 3.21, P = .020). Pre-existing and post-TKI hyperlipidemia were found to have a stronger association with CVDs, with SHR values of 5.81 (P = .034) and 13.21 (P = .001), respectively. Conclusion The findings of this study indicate that nilotinib treatment is associated with increased risks of diabetes and hyperlipidemia, with hyperlipidemia being the most significant risk for CVDs. Therefore, we recommend that CML patients receiving nilotinib should undergo screening for diabetes and hyperlipidemia prior to initiating TKI treatment. Additionally, regular monitoring of lipid profiles during TKI therapy and implementing effective management strategies to control hyperlipidemia are crucial.