Miracle-dz/UniFAR-FTUs huggingface dataset:
Associations between sleep complaints, suicidal ideation and depressive symptoms among adolescents and young adults in Greece

Depression prevalence increases significantly during adolescence/early adulthood. Depression in youth may present suicidal ideation, while suicide represents the leading cause of death in this age group. Moreover, adolescents/young adults frequently report sleep complaints that may partially be due to depressive symptoms. Studies on the associations between depression, sleep complaints and suicidality in this age group are limited. We aimed to examine associations between depressive symptoms, sleep complaints and suicidal ideation in a large (n = 2771), representative sample of adolescents (age: 15–17 years, n = 512) and young adults (age: 18–24 years, n = 2259) from the general population in Greece. A telephone structured questionnaire was administered. Depressive symptoms were assessed using the modified Patient Health‐7 questionnaire score, while presence of suicidal ideation and sleep complaints were assessed using the ninth and third question of Patient Health‐9 questionnaire, respectively. Mediation logistic regression analysis revealed significant direct paths from depressive symptoms to sleep complaints (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.19–1.24; OR 1.21, 95% CI 1.18–1.24) and suicidal ideation (OR 1.18, 95% CI 1.14–1.22; OR 1.18, 95% CI 1.14–1.22), as well as sleep complaints and suicidal ideation (OR 1.82, 95% CI 1.32–2.50; OR 1.91, 95% CI 1.33–2.76) in the total group and in young adults, respectively, but not among adolescents. Moreover, we detected a significant indirect effect of depressive symptoms on suicidal ideation mediated by sleep complaints (18.8%) in young adults. These findings support the hypothesis that treatment of sleep disturbances among youth with depression may independently further reduce suicidal risk.
Cumulus‐oocyte complexes from sows show differences in lipid metabolism compared to cumulus‐oocyte complexes from prepubertal gilts during in vitro maturation

This study aimed to evaluate the effects of donor age on lipid metabolism during in vitro maturation (IVM) of pigs cumulus‐oocyte complexes (COCs). We evaluated transcript levels of genes, the percentage of ooplasm occupied by lipid droplets (LD) and evaluated DNA methylation in COCs from sows and prepubertal gilts. Transcript levels of six genes (ACACA, ACSS2, FASN, FABP3, SLC27A4, PLIN2), which were analyzed in cumulus cells (CCs), increased after 44 h of IVM in the sow group. In the gilt group, only FASN expression increased, while NR3C1 expression decreased after IVM. The measurement of LD in oocytes showed an accumulation of lipids in sow oocytes during IVM, while gilt oocytes showed a decrease in LD. FABP3 and NR3C1 methylation patterns exhibited a demethylation pattern in CCs and oocytes from gilts and sows and showed statistical differences between groups. CCs from sows had a better capacity to change transcription levels of the major genes involved in lipid metabolism during IVM than CCs from gilts. This difference may be involved in accumulation of lipids, acquisition of competence, and maturation of enclosed oocytes. Our results contribute to a better understanding of mechanisms involved in lipid metabolism and acquisition of competence in porcine COCs.
Antitumor Efficacy of Dual Blockade with Encorafenib + Cetuximab in Combination with Chemotherapy in Human BRAFV600E-Mutant Colorectal Cancer

Abstract Purpose: Encorafenib + cetuximab (E+C) is an effective therapeutic option in chemorefractory BRAFV600E metastatic colorectal cancer (mCRC). However, there is a need to improve the efficacy of this molecular-targeted therapy and evaluate regimens suitable for untreated BRAFV600E in patients with mCRC. Experimental Design: We performed a series of in vivo studies using BRAFV600E mCRC tumor xenografts. Mice were randomized to receive 5-fluoruracil (5-FU), irinotecan, or oxaliplatin regimens (FOLFIRI or FOLFOX), (E+C) or the combination. Patients received long-term treatment until disease progression, with deescalation strategies used to mimic maintenance therapy. Transcriptomic changes after progression on cytotoxic chemotherapy or targeted therapy were assessed. Results: Antitumor activity of either FOLFIRI or E+C was better as first-line treatment as compared with second-line, with partial cross-resistance seen between a cytotoxic regimen and targeted therapy with an average 62% loss of efficacy for FOLFIRI after E+C and a 45% loss of efficacy of E+C after FOLFIRI (P < 0.001 for both). FOLFIRI-treated models had upregulation of epithelial–mesenchymal transition (EMT) and MAPK pathway activation, where E+C treated models had suppressed MAPK signaling. In contrast, with chemotherapy with E+C, EMT and MAPK signaling remained suppressed. FOLFOX or FOLFIRI, each in combination with E+C, were the most active first-line treatments as compared with E+C or to chemotherapy alone. Furthermore, FOLFOX in combination with E+C as first-line induction therapy, followed by E+C ± 5-FU as maintenance therapy, was the most effective strategy for long-term disease control. Conclusions: These results support the combination of cytotoxic chemotherapy and molecular-targeted therapy as a promising therapeutic approach in the first-line treatment of BRAFV600E mCRC.
Prevalence of Different Approaches to Clinical Hypnosis: Bridging Research and Practice

ABSTRACT A recent survey conducted by the Society of Clinical and Experimental Hypnosis Task Force for Efficacy Standards in Hypnosis Research found that clinicians reported using one or more of several different styles of hypnosis in their work. The most common of these was Ericksonian, used by over 2/3rds of clinicians, followed by hypnotic relaxation therapy and traditional hypnosis. Surprisingly, a little less than a 3rd of respondents indicated using the evidence-based practice of hypnotherapy. The present paper discusses these findings from the perspective of optimal survey methodology, examines areas of differences and overlap among response options, and considers the question of the evidence base for the practice of clinical hypnosis.
Survey on Hand-Based Haptic Interaction for Virtual Reality

Interacting with virtual objects with haptic feedback directly using the user's hand (hand-based haptic interaction) has attracted increasing attention. Due to the high degrees of freedom of the hand, compared with tool-based interactive simulation using a pen-like haptic proxy, hand-based haptic simulation faces greater challenges, mainly including higher motion mapping and modeling difficulty of deformable hand avatars, higher computational complexity of contact dynamics, and nontrivial multi-modal fusion feedback. In this article, we aim to review key computing components for hand-based haptic simulation, and draw out major findings in this direction while analyzing the gaps toward immersive and natural hand-based haptic interaction. To this end, we investigate existing relevant studies on hand-based interaction with kinesthetic and/or cutaneous display in terms of virtual hand modeling, hand-based haptic rendering, and visuo-haptic fusion feedback. By identifying current challenges, we finally highlight future perspectives in this field.
Construct-to-construct biplanar cantilever technique for spinal deformity correction: illustrative case

BACKGROUND There is a continued trend toward posterior-only approaches for achieving spinal deformity correction of idiopathic scoliosis. We present a posteriorly based correction technique and en bloc translation reduction maneuver that can be useful in the management of kyphoscoliosis. OBSERVATIONS A 50-year-old female with a past medical history of untreated adolescent idiopathic scoliosis since she was 12 years old presented to the clinic for evaluation of progressive thoracolumbar spinal deformity and worsening mid-to-low back pain. Standing scoliosis radiographs shows an 85° left lumbar curve with an apex at the L1–2 disk. There was a compensatory 58° right thoracic curve with an apex at T9, a −1.4 cm central vertical axis, and a focal kyphotic deformity of 86° from T11–L3 with a corresponding apex at the L1–2 disk. She was diagnosed with adult idiopathic scoliosis and indicated for a T9–L4 posterior spinal fusion with T11–L4 Smith-Peterson osteotomies. A simple en bloc reduction maneuver was used to translate the apex of the coronal deformity toward the midline and simultaneously correct the patient’s focal kyphosis. LESSONS A construct-to-construct biplanar cantilever technique is ideal for the treatment of kyphoscoliosis and can provide effective deformity correction in both the sagittal and coronal planes.
Small vault RNA1-2 modulates expression of cell membrane proteins through nascent RNA silencing

Dicer-dependent small non-coding vault RNA1-2 employs nascent RNA silencing to modulate the expression of a group of genes associated with membrane function. Gene expression can be regulated by transcriptional or post-transcriptional gene silencing. Recently, we described nuclear nascent RNA silencing that is mediated by Dicer-dependent tRNA-derived small RNA molecules. In addition to tRNA, RNA polymerase III also transcribes vault RNA, a component of the ribonucleoprotein complex vault. Here, we show that Dicer-dependent small vault RNA1-2 (svtRNA1-2) associates with Argonaute 2 (Ago2). Although endogenous vtRNA1-2 is present mostly in the cytoplasm, svtRNA1-2 localises predominantly in the nucleus. Furthermore, in Ago2 and Dicer knockdown cells, a subset of genes that are up-regulated at the nascent level were predicted to be targeted by svtRNA1-2 in the intronic region. Genomic deletion of vtRNA1-2 results in impaired cellular proliferation and the up-regulation of genes associated with cell membrane physiology and cell adhesion. Silencing activity of svtRNA1-2 molecules is dependent on seed-plus-complementary-paired hybridisation features and the presence of a 5-nucleotide loop protrusion on target RNAs. Our data reveal a role of Dicer-dependent svtRNA1-2, possessing unique molecular features, in modulation of the expression of membrane-associated proteins at the nascent RNA level.
Potentially inappropriate medication use is associated with increased risk of incident disability in healthy older adults

Efforts to minimize medication risks among older adults include avoidance of potentially inappropriate medications (PIMs). However, most PIMs research has focused on older people in aged or inpatient care, creating an evidence gap for community‐dwelling older adults. To address this gap, we investigated the impact of PIMs use in the ASPirin in Reducing Events in the Elderly (ASPREE) clinical trial cohort.
L_1 Norm of Total Variation Regularization Based Super Resolution Reconstruction for Images

An L1 norm of total variation regularization based super resolution reconstruction algorithm for images was proposed.The L1 norm was used to constrain the fidelity of the reconstructed image,and the total variation regularization was implemented to overcome the ill-posed of the problem.The edge of the image was preserved effectively and the speed of the algorithm was improved.Simulated taken low resolution image sequences for the designed algorithm were used in the experiments,and compared the proposed algorithm with the algorithm that based on L2 norm of total variation regularization for super resolution reconstruction in the way of subjective vision effect and objective quality,respectively.The results show that the proposed algorithm not only preserves the edge of image,but also improves the computing speed of the algorithm for super resolution reconstruction for image sequences.
Progress in the study of nutritional status and selenium in dialysis patients

Abstract Malnutrition is very common in patients with chronic kidney disease, especially in those on maintenance dialysis. Malnutrition is one of the major factors affecting survival and death of dialysis patients, and reducing their activity tolerance and immunity. There are numerous and interacting risk factors for malnutrition, such as reduced nutritional intake, increased energy expenditure, hormonal disorders, and inflammation. Selenium, in the form of selenoproteins, is involved in many physiological processes in the body and plays an important role in maintaining redox homeostasis. Oxidative stress and infection are very common in dialysis patients, and selenium levels in dialysis patients are significantly lower than those in the healthy population. It has been shown that there is a correlation between selenium levels in hemodialysis patients and their nutrition-related indicators, and that selenium supplementation may improve malnutrition in patients. However, further studies are needed to support this conclusion and there is a lack of basic research to further characterize the potential mechanisms by which selenium may improve malnutrition in dialysis patients. The purpose of this review is to provide a comprehensive overview of factors associated with malnutrition in dialysis patients and to describe the progress of research on nutritional status and selenium levels in dialysis patients. KEY MESSAGES Malnutrition is very common and one of the main factors affecting the survival and mortality of dialysis patients Risk factors for malnutrition in dialysis patients are numerous and interact with each other; controlling and reducing these risk factors is important to improve the nutritional status of patients. The trace element selenium acts to improve the nutritional status of patients by reducing oxidative stress and inflammation in their bodies.
IDNet: Information Decomposition Network for Fast Panoptic Segmentation

Traditional CNN-based pipelines for panoptic segmentation decompose the task into two subtasks, i.e., instance segmentation and semantic segmentation. In this way, they extract information with multiple branches, perform two subtasks separately and finally fuse the results. However, excessive feature extraction and complicated processes make them time-consuming. We propose IDNet to decompose panoptic segmentation at information level. IDNet only extracts two kinds of information and directly completes panoptic segmentation task, saving the efforts to extract extra information and to fuse subtasks. By decomposing panoptic segmentation into category information and location information and recomposing them with a serial pipeline, the process for panoptic segmentation is simplified greatly and unified with regard to stuff and things. We also adopt two correction losses specially designed for our serial pipeline, guaranteeing the overall predicting performance. As a result, IDNet strikes a better balance between effectiveness and efficiency, achieving the fastest inference speed of 24.2 FPS at a resolution of $800\times1333$ on a Tesla V100 GPU and a PQ of 43.8, which is comparable in one-stage CNN-based methods. The code will be released at https://github.com/AronLin/IDNet.
Study on a complex algorithm for detecting QT interval

Objective To study a complex QT detecting algorithm for improving the detection accuracy of QT interval.Methods The wavelet transform method was used for detecting the PQ junction,then the T-wave terminals were detected by a waveform-area algorithm independent of any thresholds.The detection results were evaluated with the records in Physionet QT Database.Results The mean and standard deviation of location errors were-0.36 ms and 15.49 ms,respectively.The 66.52 % of detection errors were controlled within 20 ms and 92.12 % of those within 40 ms.Conclusion It is demonstrated that the complex algorithm has a good stability and the detection accuracy of QT interval is improved.
Evidence for key individual characteristics associated with outcomes following combined first-line interventions for knee osteoarthritis: A systematic review

Objective To identify individual characteristics associated with outcomes following combined first-line interventions for knee osteoarthritis. Methods MEDLINE, CINAHL, Scopus, Web of Science Core Collection and the Cochrane library were searched. Studies were included if they reported an association between baseline factors and change in pain or function following combined exercise therapy, osteoarthritis education, or weight management interventions for knee osteoarthritis. Risk of bias was assessed using Quality in Prognostic Factor Studies. Data was visualised and a narrative synthesis was conducted for key factors (age, sex, BMI, comorbidity, depression, and imaging severity). Results 32 studies were included. Being female compared to male was associated with 2–3 times the odds of a positive response. Older age was associated with reduced odds of a positive response. The effect size (less than 10% reduction) is unlikely to be clinically relevant. It was difficult to conclude whether BMI, comorbidity, depression and imaging severity were associated with pain and function outcomes following a combined first-line intervention for knee osteoarthritis. Low to very low certainty evidence was found for sex, BMI, depression, comorbidity and imaging severity and moderate certainty evidence for age. Varying study methods contributed to some difficulty in drawing clear conclusions. Conclusions This systematic review found no clear evidence to suggest factors such as age, sex, BMI, OA severity and presence of depression or comorbidities are associated with the response to first-line interventions for knee OA. Current evidence indicates that some groups of people may respond equally to first-line interventions, such as those with or without comorbidities. First-line interventions consisting of exercise therapy, education, and weight loss for people with knee OA should be recommended irrespective of sex, age, obesity, comorbidity, depression and imaging findings.
Flux Emissivity Tables for Water Vapor, Carbon Dioxide and Ozone

Abstract Flux emissivities for the H2O bands and window, and for CO2 and O3, were evaluated from Elsasser's wavelength-dependent absorption coefficients and flux tranmissivities. The flux emissivities for water vapor differ significantly from previously published emissivities based on Elsasser's incorrect flux densities. A flux emissivity correction for the overlap of H2O and CO2, is defined and evaluated for combinations of optical depths. The largest partial emissivity is associated with the H2O rotation band, and it increases markedly with decreasing temperature, while the partial emissivities associated with the 6.3 μ band and the window are smaller and decrease with decreasing temperature. Emissivity in the window increases very rapidly with optical depths ≳1 gm cm−2. The total H2O flux emissivity is remarkably independent of temperature, especially in the range from −40 to 20C, as a result of near cancellation of the temperature dependences in three regions of the spectrum. The total flux emissivity.
Macrophage morphology and distribution are strong predictors of prognosis in resected colorectal liver metastases: results from an external retrospective observational study

Introduction: Tumor-associated macrophages (TAMs) are key components of a tumoral microenvironment and have been shown to impact prognosis in different cancers. Previously reported data showed that TAM morphology correlates with prognosis in colorectal liver metastases (CLMs) after hepatectomy, with smaller TAMs (S-TAMs) conferring a more favorable prognosis than larger ones (L-TAMs). This study aims to externally validate this finding. Material and methods: The external cohort consisted of 84 formalin-fixed and paraffin-embedded surgical samples of CLMs and peritumoral tissue. Two-micrometer-section slides were obtained; the area and perimeter of 21 macrophages in each slide were recorded. The endpoints were TAMs morphometrics and their prognostic significance in relation to disease-free survival (DFS). Results: The average macrophage perimeter was 71.5±14.1 μm whilst the average area was 217.7±67.8 μm2. At univariate analysis, the TAM area demonstrated a statistically significant association with DFS (P=0.0006). Optimal area cutoff value was obtained, showing a sensitivity and specificity of 92 and 56%, respectively. S-TAMs and L-TAMs were associated with 3-year DFS rates of 60 and 8.5%, respectively (P<0.001). Multivariate analysis confirmed the predictive role of TAM area for DFS [hazard ratio (HR)=5.03; 95% CI=1.70–14.94; P=0.003]. Moreover, in a subset of patients (n=12) characterized by unfavorable (n=6, recurrence within 3 months) or favorable (n=6, no recurrence after 48 months) prognosis, TAMs showed a different distribution: L-TAMs were more abundant and closer to the tumor invasive margin in patients that encountered early recurrence and tended to cluster in foci significantly larger (P=0.02). Conclusions: This external validation confirms that morphometric characterization of TAMs can serve as a simple readout of their diversity and allows to reliably stratify patient outcomes and predict disease recurrence after hepatectomy for CLMs.
Who Gives Direction to Statistical Testing? Best Practice Meets Mathematically Correct Tests

We are interested in statistical tests that are able to uncover that one method is better than another one. The Wilcoxon-Mann-Whitney rank-sum and the Wilcoxon sign-rank test are the most popular tests for showing that two methods are di¤erent. Yet all of the 32 papers in Economics we surveyed misused them to claim evidence that one method is better, without making any additional assumptions. We present eight nonparametric tests that can correctly identify which method is better in terms of a stochastic inequality, median di¤erence and di¤erence in medians or means, without adding any as- sumptions. We show that they perform very well in the data sets from the surveyed papers. The two tests for comparing medians are novel, constructed in the spirit of Mood? s test.
A new framework for semi-Markovian parametric multi-state models with interval censoring

There are few computational and methodological tools available for the analysis of general multi-state models with interval censoring. Here, we propose a general framework for parametric inference with interval censored multi-state data. Our framework can accommodate any parametric model for the transition times, and covariates may be included in various ways. We present a general method for constructing the likelihood, which we have implemented in a ready-to-use R package, smms, available on GitHub. The R package also computes the required high-dimensional integrals in an efficient manner. Further, we explore connections between our modelling framework and existing approaches: our models fall under the class of semi-Markovian multi-state models, but with a different, and sparser parameterisation than what is often seen. We illustrate our framework through a dataset monitoring heart transplant patients. Finally, we investigate the effect of some forms of misspecification of the model assumptions through simulations.
Thermoplasmonic Vesicle Fusion Reveals Membrane Phase Segregation of Influenza Spike Proteins

Many cellular processes involve the lateral organization of integral and peripheral membrane proteins into nanoscale domains. Despite the biological significance, the mechanisms that facilitate membrane protein clustering into nanoscale lipid domains remain enigmatic. In cells, the analysis of membrane protein phase affinity is complicated by the size and temporal nature of ordered and disordered lipid domains. To overcome these limitations, we developed a method for delivering membrane proteins from transfected cells into phase-separated model membranes that combines optical trapping with thermoplasmonic-mediated membrane fusion and confocal imaging. Using this approach, we observed clear phase partitioning into the liquid disordered phase following the transfer of GFP-tagged influenza hemagglutinin and neuraminidase from transfected cell membranes to giant unilamellar vesicles. The generic platform presented here allows investigation of the phase affinity of any plasma membrane protein which can be labeled or tagged with a fluorescent marker.