Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of the Lethal Outcome of Acute Recurrent Cerebral Ischemic Hemispheric Stroke

Background and objectives. Stroke-induced mortality is the third most common cause of death in developed countries. Intense interest has focused on the recurrent ischemic stroke, which rate makes up 30% during first 5 years after first-ever stroke. This work aims to develop criteria for the prediction of acute recurrent cerebral ischemic hemispheric stroke (RCIHS) outcome on the basis of comprehensive baseline clinical, laboratory, and neuroimaging examinations. Materials and Methods. One hundred thirty-six patients (71 males and 65 females, median age 74 (65; 78)) with acute RCIHS were enrolled in the study. All patients underwent a detailed clinical and neurological examination using National Institutes of Health Stroke Scale (NIHSS), computed tomography of the brain, hematological, and biochemical investigations. In order to detect the dependent and independent risk factors of the lethal outcome of the acute period of RCIHS, univariable and multivariable regression analysis were conducted. A receiver operating characteristic (ROC) analysis with the calculation of sensitivity and specificity was performed to determine the prediction variables. Results. Twenty-five patients died. The independent predictors of the lethal outcome of acute RCIHS were: Baseline NIHSS score (OR 95% CІ 1.33 (1.08–1.64), p = 0.0003), septum pellucidum displacement (OR 95% CI 1.53 (1.17–2.00), p = 0.0021), glucose serum level (OR 95% CI 1.28 (1.09–1.50), p = 0.0022), neutrophil-to-lymphocyte ratio (OR 95% CI 1.11 (1.00–1.21), p = 0.0303). The mathematical model, which included these variables was developed and it could determine the prognosis of lethal outcome of the acute RCIHS with an accuracy of 86.8% (AUC = 0.88 ± 0.04 (0.88–0.93), p < 0.0001).
Methods for Simultaneous Robot-World-Hand–Eye Calibration: A Comparative Study

In this paper, we propose two novel methods for robot-world-hand–eye calibration and provide a comparative analysis against six state-of-the-art methods. We examine the calibration problem from two alternative geometrical interpretations, called ‘hand–eye’ and ‘robot-world-hand–eye’, respectively. The study analyses the effects of specifying the objective function as pose error or reprojection error minimization problem. We provide three real and three simulated datasets with rendered images as part of the study. In addition, we propose a robotic arm error modeling approach to be used along with the simulated datasets for generating a realistic response. The tests on simulated data are performed in both ideal cases and with pseudo-realistic robotic arm pose and visual noise. Our methods show significant improvement and robustness on many metrics in various scenarios compared to state-of-the-art methods.
Revisiting the role of autophagy in melanoma

ABSTRACT Although alterations of the macroautophagy/autophagy-lysosome pathway have been observed in cancer for many years, the mechanisms underlying these changes and the importance of autophagic and lysosomal reprogramming by cancer have yet to be well identified. Our recent study demonstrates that oncogenic BRAF signaling promotes melanoma growth and resistance to BRAF-targeted therapy through phosphorylation and functional inactivation of TFEB (transcription factor EB) and consequent suppression of the autophagy-lysosome gene network. This is by no means the first time that this pathway has been directly linked to oncogenic BRAF-driven melanoma. The key observations revealed in this study also leads to a complex but growing convergence of our understanding of the biology of the autophagy-lysosome pathway and the mechanisms underlying cancer prevention and treatment.
Immunocytochemical Labeling of Rhabdomeric Proteins in Drosophila Photoreceptor Cells Is Compromised by a Light-dependent Technical Artifact

Drosophila photoreceptor cells are employed as a model system for studying membrane protein transport. Phototransduction proteins like rhodopsin and the light-activated TRPL ion channel are transported within the photoreceptor cell, and they change their subcellular distribution in a light-dependent way. Investigating the transport mechanisms for rhodopsin and ion channels requires accurate histochemical methods for protein localization. By using immunocytochemistry the light-triggered translocation of TRPL has been described as a two-stage process. In stage 1, TRPL accumulates at the rhabdomere base and the adjacent stalk membrane a few minutes after onset of illumination and is internalized in stage 2 by endocytosis after prolonged light exposure. Here, we show that a commonly observed crescent shaped antibody labeling pattern suggesting a fast translocation of rhodopsin, TRP, and TRPL to the rhabdomere base is a light-dependent antibody staining artifact. This artifact is most probably caused by the profound structural changes in the microvillar membranes of rhabdomeres that result from activation of the signaling cascade. By using alternative labeling methods, either eGFP-tags or the self-labeling SNAP-tag, we show that light activation of TRPL transport indeed results in fast changes of the TRPL distribution in the rhabdomere but not in the way described previously.
Genome-Wide Analysis of ROS Antioxidant Genes in Resurrection Species Suggest an Involvement of Distinct ROS Detoxification Systems during Desiccation

Abiotic stress is one of the major threats to plant crop yield and productivity. When plants are exposed to stress, production of reactive oxygen species (ROS) increases, which could lead to extensive cellular damage and hence crop loss. During evolution, plants have acquired antioxidant defense systems which can not only detoxify ROS but also adjust ROS levels required for proper cell signaling. Ascorbate peroxidase (APX), glutathione peroxidase (GPX), catalase (CAT) and superoxide dismutase (SOD) are crucial enzymes involved in ROS detoxification. In this study, 40 putative APX, 28 GPX, 16 CAT, and 41 SOD genes were identified from genomes of the resurrection species Boea hygrometrica, Selaginella lepidophylla, Xerophyta viscosa, and Oropetium thomaeum, and the mesophile Selaginella moellendorffii. Phylogenetic analyses classified the APX, GPX, and SOD proteins into five clades each, and CAT proteins into three clades. Using co-expression network analysis, various regulatory modules were discovered, mainly involving glutathione, that likely work together to maintain ROS homeostasis upon desiccation stress in resurrection species. These regulatory modules also support the existence of species-specific ROS detoxification systems. The results suggest molecular pathways that regulate ROS in resurrection species and the role of APX, GPX, CAT and SOD genes in resurrection species during stress.
Mediterranean diet and health status: Active ingredients and pharmacological mechanisms

The Mediterranean diet (MedDiet) is one of the most widely described and evaluated dietary patterns in scientific literature. It is characterized by high intakes of vegetables, legumes, fruits, nuts, grains, fish, seafood, extra virgin olive oil, and a moderate intake of red wine. A large body of observational and experimental evidence suggests that higher adherence to the MedDiet is associated with lower risk of mortality, cardiovascular disease, metabolic disease, and cancer. Current mechanisms underlying the beneficial effects of the MedDiet include reduction of blood lipids, inflammatory and oxidative stress markers, improvement of insulin sensitivity, enhancement of endothelial function, and antithrombotic function. Most likely, these effects are attributable to bioactive ingredients such as polyphenols, monounsaturated and polyunsaturated fatty acids, or fibre. This review will focus on both established and less established mechanisms of action of biochemical compounds contained in a MedDiet.
Comparison between minimally invasive simple prostatectomy and open simple prostatectomy for large prostates: A systematic review and meta-analysis of comparative trials.

BACKGROUND Although previous studies have compared the minimally invasive simple prostatectomy (MISP) with open simple prostatectomy (OSP) for large prostates, there is still controversy. This current study aims to provide the latest evidence for clinical practice. METHODS We systematically searched Science, EMBASE, PubMed and Clinicalkey databases for articles comparing MISP and OSP for large prostates. Result parameters including International Prostate Symptom Score (IPSS), quality of life (QoL), maximum urine flow rate (Qmax), post-void residual urine volume (PVR), operative time (OT), estimated blood loss (EBL), irrigation time (IT), catheterization time (CT), length of hospital stay (LOS), transfusion rate (TR), and complications were evaluated using RevMan 5.3. RESULTS A total of 995 patients were included in 10 studies. No statistically significant differences were found between two groups in IPSS (WMD: -0.36, P = 0.26), QoL (WMD: -0.22, P = 0.05), Qmax (WMD: 0.46, P = 0.62) and PVR (WMD: -2.14, P = 0.65). The MISP group had similar IT (WMD: -1.52, P = 0.06), lesser EBL (WMD: -292.22, P < 0.001), shorter CT (WMD: -1.89, P < 0.0001), shorter LOS (WMD: -2.52, P < 0.001), lower TR (OR: 0.21, P < 0.001) and lower complications (OR: 0.49, P < 0.001) compared with OSP group. However, the OT (WMD: 43.07, P < 0.001) of MISP was longer than that of OSP. CONCLUSIONS The present results demonstrated that MISP provided similar efficacy to those of OSP, while maintaining a better security. Our findings imply that MISP is a feasible and effective alternative to the OSP.
An Evaluation Method of Safe Driving for Senior Adults Using ECG Signals

The elderly are more susceptible to stress than younger people. In particular, heart palpitations are one of the causes of heart failure, which can lead to serious accidents. To prevent heart palpitations, we have devised the Safe Driving Intensity (SDI) and Cardiac Reaction Time (CRT) as new methods of estimating the correlations between effects on the driver’s heart and the movement of a vehicle. In SDI measurement, recommended acceleration value of vehicle for safe driving is inferred from the suggested correlation algorithm using machine learning. A higher SDI value than other people means less pressure on the heart. CRT is an estimated value of the occurring time of heart palpitations caused by stressful driving. In particular, it is proved by SDI that elderly subjects tend to overestimate their driving abilities in personal assessment questionnaires. Furthermore, we validated our SDI using other general statistical methods. When comparing the results using a t-test, we obtained reliable results for the equivalent variance. Our results can be used as a basis for evaluating elderly people’s driving ability, as well as allowing for the implementation of a personalized safe driving system for the elderly.
Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome

Plants obtain elements from the soil through genetic and biochemical pathways responsive to physiological state and environment. Most perturbations affect multiple elements which leads the ionome, the full complement of mineral nutrients in an organism, to vary as an integrated network rather than a set of distinct single elements. To examine the genetic basis of covariation in the accumulation of multiple elements, we analyzed maize kernel ionomes from Intermated B73 × Mo17 (IBM) recombinant inbred populations grown in 10 environments. We compared quantitative trait loci (QTL) determining single-element variation to QTL that predict variation in principal components (PCs) of multiple-element covariance. Single-element and multivariate approaches detected partially overlapping sets of loci. In addition to loci co-localizing with single-element QTL, multivariate traits within environments were controlled by loci with significant multi-element effects not detectable using single-element traits. Gene-by-environment interactions underlying multiple-element covariance were identified through QTL analyses of principal component models of ionome variation. In addition to interactive effects, growth environment had a profound effect on the elemental profiles and multi-element phenotypes were significantly correlated with specific environmental variables. Author Summary A multivariate approach to the analysis of element accumulation in the maize kernel shows that elements are not regulated independently. By describing relationships between element accumulation we identified new genetic loci invisible to single-element approaches. The mathematical combinations of elements distinguish groups of plants based on environment, demonstrating that observed variation derives from interactions between genetically controlled factors and environmental variables. These results suggest that successful application of ionomics to improve human nutrition and plant productivity requires simultaneous consideration of multiple-element effects and variation of such effects in response to environment.
Astragaloside IV reduces cardiomyocyte apoptosis in a murine model of coxsackievirus B3-induced viral myocarditis

Apoptosis plays a crucial role in regulating cardiomyopathy and injuries of coxsackievirus B3 (CVB3)-induced viral myocarditis (VM). It has been reported that Astragaloside IV (AST-IV) from Astragalus membranaceus could inhibit apoptosis under a variety of pathological conditions in vivo or in vitro. However, the functional roles of AST-IV in CVB3-induced VM still remain unknown. Here, we found that AST-IV significantly enhanced survival for CVB3-induced mice. AST-IV protected the mice against CVB3-induced virus myocarditis characterized by the increased body weight, decreased serum level of creatine kinase-MB (CK-MB) and lactate dehydrogenase (LDH), supressed expression of Ifn-γ, Il-6 in heart, enhanced systolic and diastolic function of left ventricle. At the pathological level, AST-IV ameliorated the mice against CVB3-induced myocardial damage and myocardial fibrosis. In vitro, the results from flow cytometry showed that AST-IV significantly suppressed CVB3-induced cardiomyocytes apoptosis, which also were verified in vivo. Moreover, an increased expression of pro-apoptotic genes including FAS, FASL, cleaved caspase-8 and cleaved caspase-3 was found in CVB3-induced cardiomyocytes, while those was inhibited in cardiomyocytes treated with AST-IV. Taken together, the data suggest that AST-IV protected against CVB3-induced myocardial damage and fibrosis, which may partly attribute to supress activation of FAS/FASL signaling pathway.
Laparoscopic Partial versus Total Adrenalectomy in Nonhereditary Unilateral Adrenal Masses

Objective: To compare the surgical outcomes and clinical improvement 1 year after laparoscopic partial and total adrenalectomy for the treatment of patients with nonhereditary unilateral functional adrenal adenomas. Material and Methods: From March 2016 to January 2018, we performed 15 laparoscopic partial adrenalectomy (LPA; Group 1) and 25 laparoscopic total adrenalectomy (LTA; Group 2) procedures. The key points reside in adenoma identification, preservation of the remaining glandular parenchyma, and its blood supply with dissection in the space between the adenoma and the normal parenchyma. The operative and clinical outcomes were compered. Results: The mean age of the patients was 45.1 (17–69) years and the median follow-up was 15 (12–26) months. Operative time, blood loss, and hospital stay were similar between the groups. No major perioperative and postoperative complications occurred. After surgery, all patients had resolution of their symptoms, with no patient in Group 1 requiring steroid replacement. However, a patient in Group 2 required steroid replacement therapy. On postoperative imaging, no residual and recurrent mass was detected. Conclusions: Our results showed that LPA is safe and feasible, and has similar therapeutic results compared with LTA in patients with a nonhereditary hormonally active unilateral adrenal mass. Furthermore, LPA can obviate the need for steroid replacement in these patients.
An integration of deep learning with feature embedding for protein–protein interaction prediction

Protein–protein interactions are closely relevant to protein function and drug discovery. Hence, accurately identifying protein–protein interactions will help us to understand the underlying molecular mechanisms and significantly facilitate the drug discovery. However, the majority of existing computational methods for protein–protein interactions prediction are focused on the feature extraction and combination of features and there have been limited gains from the state-of-the-art models. In this work, a new residue representation method named Res2vec is designed for protein sequence representation. Residue representations obtained by Res2vec describe more precisely residue-residue interactions from raw sequence and supply more effective inputs for the downstream deep learning model. Combining effective feature embedding with powerful deep learning techniques, our method provides a general computational pipeline to infer protein–protein interactions, even when protein structure knowledge is entirely unknown. The proposed method DeepFE-PPI is evaluated on the S. Cerevisiae and human datasets. The experimental results show that DeepFE-PPI achieves 94.78% (accuracy), 92.99% (recall), 96.45% (precision), 89.62% (Matthew’s correlation coefficient, MCC) and 98.71% (accuracy), 98.54% (recall), 98.77% (precision), 97.43% (MCC), respectively. In addition, we also evaluate the performance of DeepFE-PPI on five independent species datasets and all the results are superior to the existing methods. The comparisons show that DeepFE-PPI is capable of predicting protein–protein interactions by a novel residue representation method and a deep learning classification framework in an acceptable level of accuracy. The codes along with instructions to reproduce this work are available from https://github.com/xal2019/DeepFE-PPI.
Assessment of the antinociceptive and anti-inflammatory activities of the stem methanol extract of Diplotropis purpurea

Abstract Context: Since there is still a great need to search for plant species with antinociceptive and anti-inflammatory activities, Diploptropis purpurea (Rich.) Amshoff (Fabaceae) is studied for the first time. Objective: This evaluates the analgesic and anti-inflammatory activities of the stem methanol extract of Diplotropis purpurea (MEDP). Material and methods: The anti-inflammatory and analgesic effects of MEDP of D. purpurea were evaluated in vivo. The antinociceptive activity was assessed in CD1 male mice were treated by oral gavage with 500 mg/kg of MEDP 30 min before submitting to acetic acid-induced abdominal writhing, hot-plate, and formalin tests. Paws oedema induced by carrageenan, histamine or serotonin were performed in male Sprague–Dawley rats to determinate the anti-inflammatory activity. Results: Oral administration of MEDP produced significant antinociceptive effects on the inflammatory phase in the formalin test [12.0 s versus 72.5 s in carboxymethyl cellulose (CMC) control group]. MEDP produced an analgesic effect in the hot-plate model, although the effect was modest compared to tramadol (40 and 60%, respectively). The oral administration of MEDP in a dose of 500 mg/kg showed maximum inhibition (75.1%) after 0.5 h in carrageenan-induced oedema, but it did not modify histamine or serotonin-induced oedemas. Discussion and conclusion: In the peripheral nociception model, acetic acid-induced abdominal writhing, the MEDP did not show a protective effect, but its analgesic effects were evident in the inflammatory phase of the formalin test and in the hot-plate model. These results show that the anti-inflammatory effect was accompanied by a reduction in the perception of painful stimuli.
Logical Activity Recognition for Understanding of Human Activities

Recognizing human activities based on user’s contextual information is becoming more important to the success of context-aware pervasive computing. In this paper, we define activities and introduce a six-layer activity model. We also describe our algorithm to perform activity recognition. The key contextual information is location, and other pieces of contextual information are also used in our study. To evaluate our algorithm we collected user data from twenty test users while they performed daily activities. We present a comprehensive experimental evaluation and discuss the results.
Intranasal dexmedetomidine for sedation in children; a review

Dexmedetomidine is an α2 adrenoreceptor agonist that may be administered by the intranasal route as a sole sedative agent in children. It is odourless, colourless and tasteless and is formulated in a concentration of 100µg. ml−1. We performed a review of published randomised controlled trials in order to determine the efficacy of intranasal dexmedetomidine for sedation in children. Fourteen trials were eligible for inclusion in the review and contained a total of 1809 patients ranging in age from one month to 14 years. Intranasal dexmedetomidine was administered in a dose range of 1–4µg. kg−1 and was compared with various other sedatives. Dexmedetomidine was administered by either drops or a mucosal atomiser device. The procedures ranged from non-painful examinations such as magnetic resonance imaging scans and transthoracic echocardiography to painful procedures such as dentistry and venous cannulation. Administration of 2µg. kg−1 appears to be the optimal dose.
Interdependence of hypoxia and β-adrenergic receptor signaling in Pulmonary Arterial Hypertension.

The β-adrenergic receptor (βAR) exists in an equilibrium of inactive and active conformational states, which shifts in response to different ligands and results in downstream signaling. In addition to cAMP, βAR signals to hypoxia-inducible factor 1 (HIF-1). We hypothesized that a βAR active conformation (R**) that leads to HIF-1 is separable from the cAMP-activating conformation (R*), and that Pulmonary Arterial Hypertension (PAH) patients with HIF-biased conformations would not respond to cAMP agonist. We compared two cAMP agonists, isoproterenol and salbutamol, in vitro. Isoproterenol increased cAMP and HIF-1 activity, while salbutamol increased cAMP and reduced HIF-1. Hypoxia blunted agonist-stimulated cAMP, consistent with receptor equilibrium shifting towards HIF-activating conformations. Similarly, isoproterenol increased HIF-1 and erythropoiesis in mice, while salbutamol decreased erythropoiesis. βAR overexpression in cells increased glycolysis which was blunted by HIF-1 inhibitors, suggesting increased βAR leads to increased hypoxia-metabolic effects. Because PAH is also characterized by HIF-related glycolytic shift, we dichotomized PAH patients in the PAHTCH trial (NCT01586156) based on right ventricular (RV) glucose uptake to evaluate βAR ligands. Patients with high glucose uptake had more severe disease than those with low uptake. cAMP increased in response to isoproterenol in mononuclear cells from low uptake patients, but not in high uptake patients' cells. When patients were treated with carvedilol for 1 week, the low uptake group decreased RV systolic pressures and pulmonary vascular resistance, but high uptake patients had no physiologic responses. The findings expand the paradigm of βAR activation, and uncover a novel PAH subtype that might benefit from β-blockers.