Miracle-dz/UniFAR-FTUs huggingface dataset:
High expression of Mucin13 associates with grimmer postoperative prognosis of patients with non-metastatic clear-cell renal cell carcinoma

Background Mucin13 (MUC13) is a transmembrane glycoprotein that is aberrantly expressed in ovarian and gastro-intestinal tumors, but its role in renal cell carcinoma remains elusive. The purpose of this study is to evaluate the prognostic value of MUC13 expression in patients with non-metastatic clear cell renal cell carcinoma (ccRCC) after surgical resection. Results MUC13 high expression was associated with high Fuhrman grade (p < 0.001), high SSIGN score (p = 0.011), early recurrence (p < 0.001) and poor survival (p < 0.001). Multivariate Cox regression analysis identified MUC13 expression as an independent prognostic factor for RFS and OS of ccRCC patients. A nomogram integrating MUC13 expression and other independent prognosticators was established to predict RFS and OS of ccRCC patients. Optimal agreement was shown between the predictions and observations in calibration curves. Matrials and methods This study enrolled 410 postoperative non-metastatic ccRCC patients at a single institution. Clinicopathologic variables, recurrence-free survival (RFS), and overall survival (OS) were recorded. MUC13 expression was detected by immunohistochemical staining in tumor specimens. Association of MUC13 expression with clinicopathological factors was explored. Kaplan-Meier analysis was performed to compare survival curves. Univariate and multivariate Cox regression models were used to analyze the impact of prognostic factors on RFS and OS. A prognostic nomogram was constructed based on the independent prognostic factors identified by multivariate analysis. Conclusions MUC13 high expression is a novel independent adverse prognostic factor of clinical outcome in non-metastatic ccRCC patients after surgery.
THE EFFECTS OF ETHANOL EXTRACTS OF Centella asiatica LEAF ON SERIAL SERUM BRAIN DERIVED NEUROTROPHIN FACTOR (BDNF) CONCENTRATION OF RATS (SPRAGUE DAWLEY) FOLLOWING CHRONIC STRESS

Centella asiatica is considered herbal plant for increasing memory performance. Brain-derived neurotrophin factor (BDNF) has a significant role in memory formation process, while stress causes memory impairment. Objective: This study aimed to investigate the effects of ethanol extracts of Centella asiatica leaf on serum BDNF concentration of rats that was taken serially before and after chronic electrical stress. Materials and Methods : Twenty male rats (Sprague Dawley) were divided into four groups: control/aquades group and groups treated with different doses (mg/kg) of Centella asiatica :150 (CA150), 300 (CA300) and 600 (CA600). Each rat underwent memory exercise for nine days before and after electrical stress and oral administration of ethanol extracts of Centella asiatica for twenty-eight days. Blood sampling was taken serially from rats’ tail for four times : (1) before memory exercise, (2) after memory exercise (before stress), (3) after chronic stress, and (4) after memory exercise (following chronic stress). Concentration of serum BDNF was assessed using ELISA. Results: There was no significant difference in serum BDNF concentration between groups in first and second serum sampling, which was prior to chronic stress and administration of different treatments. However, there was significant difference in third and fourth serum sampling between groups. Mean concentration of serum BDNF (ng/ml) in third and fourth sampling for control group, CA150, CA300, and CA600, respectively were 1.88+0.21 &1.93+0.24; 2.29+0.13 & 2.01+0.22; 2.29+0.08 &1.86+0.11; 2.71+0.70 and 2.99+0.27 (p<0.05). Conclusion: Ethanol extracts of Centella asiatica leaf increases serum BDNF concentration in rats after chronic stress. Keywords : stress, memory, Centella asiatica, BDNF
AMPK promotes survival of c‐Myc‐positive melanoma cells by suppressing oxidative stress

Although c‐Myc is essential for melanocyte development, its role in cutaneous melanoma, the most aggressive skin cancer, is only partly understood. Here we used the NrasQ61KINK4a−/− mouse melanoma model to show that c‐Myc is essential for tumor initiation, maintenance, and metastasis. c‐Myc‐expressing melanoma cells were preferentially found at metastatic sites, correlated with increased tumor aggressiveness and high tumor initiation potential. Abrogation of c‐Myc caused apoptosis in primary murine and human melanoma cells. Mechanistically, c‐Myc‐positive melanoma cells activated and became dependent on the metabolic energy sensor AMP‐activated protein kinase (AMPK), a metabolic checkpoint kinase that plays an important role in energy and redox homeostasis under stress conditions. AMPK pathway inhibition caused apoptosis of c‐Myc‐expressing melanoma cells, while AMPK activation protected against cell death of c‐Myc‐depleted melanoma cells through suppression of oxidative stress. Furthermore, TCGA database analysis of early‐stage human melanoma samples revealed an inverse correlation between C‐MYC and patient survival, suggesting that C‐MYC expression levels could serve as a prognostic marker for early‐stage disease.
The center effect in liver transplantation in the Eurotransplant region: a retrospective database analysis

Apart from donor and recipient risk factors, the effect of center‐related factors has significant impact on graft survival after liver transplantation (LT). To investigate this effect in Eurotransplant, a retrospective database analysis was performed, including all LT's in adult recipients (≥18 years) in the Eurotransplant region from 1.1. 2007 until 31.12. 2013. Additionally, a survey was sent out to all transplant centers requesting information on surgeons’ experience and exposure. In total, 10 265 LT's were included (median follow‐up 3.3 years), performed in 39 transplant centers. Funnel plots showed significant differences in graft survival between the transplant centers. After correction for donor and recipient risk, with the Eurotransplant donor risk index (ET‐DRI) and the simplified recipient risk index (sRRI) and random effects, these differences diminished. Mean historical volume (in the preceding 5 years) was a significant (P < 0.001), nonlinear marker for graft survival in the multivariate analysis. This study demonstrates that funnel plots can be used for benchmarking purposes in LT. Case‐mix correction can be performed with the use of the ET‐DRI and sRRI. The center effect encompasses the entire complex process of preoperative workup, operation to follow‐up.
Older women's responses and decisions after a fall: The work of getting “back to normal”

ABSTRACT In this descriptive qualitative research, we examined older women's responses and decisions after experiencing a fall. Falls were unexpected, sudden events that heightened these women's awareness of their physical, emotional, spiritual, and social independence. Interviewees reported assessing personal, physical, and emotional needs; feeling burdened by the extra work; trying to get back to normal; seeking and obtaining assistance and spiritual support; avoiding specific people, objects, and places; planning ahead; and putting the fall out of mind. Consideration of older women's post-fall responses and decisions should be incorporated into fall prevention and management programs, services, and clinical recommendations.
Composite Transport Model and Water and Solute Transport across Plant Roots: An Update

The present review examines recent experimental findings in root transport phenomena in terms of the composite transport model (CTM). It has been a well-accepted conceptual model to explain the complex water and solute flows across the root that has been related to the composite anatomical structure. There are three parallel pathways involved in the transport of water and solutes in roots – apoplast, symplast, and transcellular paths. The role of aquaporins (AQPs), which facilitate water flows through the transcellular path, and root apoplast is examined in terms of the CTM. The contribution of the plasma membrane bound AQPs for the overall water transport in the whole plant level was varying depending on the plant species, age of roots with varying developmental stages of apoplastic barriers, and driving forces (hydrostatic vs. osmotic). Many studies have demonstrated that the apoplastic barriers, such as Casparian bands in the primary anticlinal walls and suberin lamellae in the secondary cell walls, in the endo- and exodermis are not perfect barriers and unable to completely block the transport of water and some solute transport into the stele. Recent research on water and solute transport of roots with and without exodermis triggered the importance of the extension of conventional CTM adding resistances that arrange in series (epidermis, exodermis, mid-cortex, endodermis, and pericycle). The extension of the model may answer current questions about the applicability of CTM for composite water and solute transport of roots that contain complex anatomical structures with heterogeneous cell layers.
Determinant based codebook search for correlated massive MIMO channels

In this paper, we consider the complexity problem related to the selection of the optimal codeword matrix in large size codebooks used in massive MIMO systems. We propose a novel determinant based search method that makes use of the optimality of the statistical precoding in correlated MIMO channels. Codebook (CB) search complexity is reduced by focusing the search process to a smaller set of admissible codewords thus minimizing the computational complexity when performing the brute force scan for the best codeword. Simulation results show that our algorithm not only provides a good tradeoff between complexity reduction and performance, it also provides robustness against channel estimation errors in comparison to other hierarchal codebook search algorithms.
Stress is associated with subsequent pain and disability among men with nonbacterial prostatitis/pelvic pain

Background: Nonbacterial prostatitis is a syndrome characterized by persistent pelvic area pain in men with or without voiding symptoms. Its causes are poorly understood, and evidence-based treatments are lacking. Although psychological stress has been proposed as an etiological factor, the literature lacks prospective studies using standardized measures to examine associations between stress and male pelvic pain problems over time.Purpose: This study examined whether perceived stress was associated longitudinally with pain intensity and pain-related disability in a sample of men with nonbacterial prostatitis/pelvic pain.Methods: Men (N = 224) completed measures of perceived stress, pain intensity, and pain-related disability 1 month after a health care visit with a new nonbacterial prostatitis/pelvic pain diagnosis and 3, 6, and 12 months later.Results: Greater perceived stress during the 6 months after the health care visit was associated with greater pain intensity (p = .03) and disability (p = .003) at 12 months, even after controlling for age, symptom duration, and pain and disability during the first 6 months.Conclusions: These findings support further research into the associations between stress and male pelvic pain syndromes, as well as the assessment of stress in the evaluation of patients with pelvic pain.
The progenitors of present-day massive red galaxies up to z ≈ 0.7 - finding passive galaxies using SDSS-I/II and SDSS-III

We present a comprehensive study of 250 000 galaxies targeted by the Baryon Oscillation Spectroscopic Survey (BOSS) up to z≈ 0.7 with the specific goal of identifying and characterizing a population of galaxies that has evolved without significant merging. We compute a likelihood that each BOSS galaxy is a progenitor of the luminous red galaxies (LRGs) sample, targeted by SDSS-I/II up z≈ 0.5, by using the fossil record of LRGs and their inferred star formation histories, metallicity histories and dust content. We determine merger rates, luminosity growth rates and the evolution of the large-scale clustering between the two surveys, and we investigate the effect of using different stellar population synthesis models in our conclusions. We demonstrate that our sample is slowly evolving (of the order of 2 ± 1.5 per cent Gyr−1 by merging) by computing the change in weighted luminosity-per-galaxy between the two samples, and that this result is robust to our choice of stellar population models. Our conclusions refer to the bright and massive end of the galaxy population, with Mi0.55≲−22 and M*≳ 1011.2 M⊙, corresponding roughly to 95 and 40 per cent of the LRGs and BOSS galaxy populations, respectively. Our analysis further shows that any possible excess of flux in BOSS galaxies, when compared to LRGs, from potentially unresolved targets at z≈ 0.55 must be less than 1 per cent in the r0.55 band (approximately equivalent to the g band in the rest frame of galaxies at z= 0.55). When weighting the BOSS galaxies based on the predicted properties of the LRGs, and restricting the analysis to the reddest BOSS galaxies, we find an evolution of the large-scale clustering that is consistent with dynamical passive evolution, assuming a standard cosmology. We conclude that our likelihoods give a weighted sample that is as clean and as close to passive evolution (in dynamical terms, i.e. no or negligible merging) as possible, and that is optimal for cosmological studies
Aspm specifically maintains symmetric proliferative divisions of neuroepithelial cells

The ASPM (abnormal spindle-like microcephaly-associated) protein has previously been implicated in the determination of human cerebral cortical size, but the cell biological basis of this regulation has not been studied. Here we investigate the role of Aspm in mouse embryonic neuroepithelial (NE) cells, the primary stem and progenitor cells of the mammalian brain. Aspm was found to be concentrated at mitotic spindle poles of NE cells and to be down-regulated with their switch from proliferative to neurogenic divisions. Upon RNA interference in telencephalic NE cells, Aspm mRNA is reduced, mitotic spindle poles lack Aspm protein, and the cleavage plane of NE cells is less frequently oriented perpendicular to the ventricular surface of the neuroepithelium. The alteration in the cleavage plane orientation of NE cells increases the probability that these highly polarized cells undergo asymmetric division, i.e., that apical plasma membrane is inherited by only one of the daughter cells. Concomitant with the resulting increase in abventricular cells in the ventricular zone, a larger proportion of NE cell progeny is found in the neuronal layer, implying a reduction in the number of NE progenitor cells upon Aspm knock-down relative to control. Our results demonstrate that Aspm is crucial for maintaining a cleavage plane orientation that allows symmetric, proliferative divisions of NE cells during brain development. These data provide a cell biological explanation of the primary microcephaly observed in humans with mutations in ASPM, which also has implications for the evolution of mammalian brains.
Sliced Wasserstein Generative Models

In generative modeling, the Wasserstein distance (WD) has emerged as a useful metric to measure the discrepancy between generated and real data distributions. Unfortunately, it is challenging to approximate the WD of high-dimensional distributions. In contrast, the sliced Wasserstein distance (SWD) factorizes high-dimensional distributions into their multiple one-dimensional marginal distributions and is thus easier to approximate. In this paper, we introduce novel approximations of the primal and dual SWD. Instead of using a large number of random projections, as it is done by conventional SWD approximation methods, we propose to approximate SWDs with a small number of parameterized orthogonal projections in an end-to-end deep learning fashion. As concrete applications of our SWD approximations, we design two types of differentiable SWD blocks to equip modern generative frameworks---Auto-Encoders (AE) and Generative Adversarial Networks (GAN). In the experiments, we not only show the superiority of the proposed generative models on standard image synthesis benchmarks, but also demonstrate the state-of-the-art performance on challenging high resolution image and video generation in an unsupervised manner.
A Gold Standard for Emotion Annotation in Stack Overflow

Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces. We release a dataset of 4,800 questions, answers, and comments from Stack Overflow, manually annotated for emotions. Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.
Effectiveness of an Intervention to Improve Risk Factor Knowledge in Patients With Stroke: A Randomized Controlled Trial

Background and Purpose— Despite the benefit of risk awareness in secondary prevention, survivors of stroke are often unaware of their risk factors. We determined whether a nurse-led intervention improved knowledge of risk factors in people with stroke or transient ischemic attack. Methods— Prospective study nested within a randomized controlled trial of risk factor management in survivors of stroke or transient ischemic attack. Intervention: 3 nurse education visits and specialist review of care plans. Outcome: unprompted knowledge of risk factors of stroke or transient ischemic attack at 24 months. Effect of intervention on knowledge and factors associated with knowledge were determined using multivariable regression models. Results— Knowledge was assessed in 268 consecutive participants from the main trial, 128 in usual care and 140 in the intervention. Overall, 34% of participants were unable to name any risk factor. In adjusted analyses, the intervention group had better overall knowledge than controls (incidence risk ratio, 1.26; 95% confidence interval, 1.00–1.58). Greater functional ability and polypharmacy were associated with better knowledge and older age and having more comorbidities associated with poorer knowledge. Conclusions— Overall knowledge of risk factors of stroke or transient ischemic attack was better in the intervention group than controls. However, knowledge was generally poor. New and more effective strategies are required, especially in subgroups identified as having poor knowledge. Clinical Trial Registration— URL: http://www.anzctr. org.au. Unique identifier: ACTRN12608000166370.
Growth performance of piglets during the first two weeks of lactation affects the development of the intestinal microbiota

The aim of this study was to evaluate the effect of newborn piglet weight gain during the first 2 weeks of lactation on the luminal and mucosal microbiota of the ileum and colon. The microbiota from high-weight-gain (HWG) and low-weight-gain (LWG) 2-week-old piglets was characterized by amplicon length heterogeneity PCR (LH-PCR) and compared using diversity indices and multivariate statistical analyses. At birth, LWG piglets weighted in average 0.26 kg less than HWG piglets (p = .002). The weight difference between LWG and HWG piglets increased with time and reached 2.1 kg after 16 days of lactation (p < .0001). Based on these growth performance differences, estimated colostrum and milk intake was greater in HWG than in LWG piglets (p < .0001). Analysis of the LH-PCR data of the microbiota using non-metric multidimensional scaling (NMS) and blocked multiresponse permutation procedure (MRBP) revealed that the microbiota of the HWG and LWG piglets tended to differ in ileal mucosa (p = .097) and differed in colonic lumen (p = .024). The microbiota of HWG piglets had higher levels of Bacteroidetes, Bacteroides and Ruminoccocaceae, and lower proportions of Actinobacillus porcinus and Lactobacillus amylovorus when compared with those of LWG piglets. As the weight gain of nursing piglets is highly correlated with the amount of ingested colostrum and milk, the results strongly suggest that colostrum and milk intake in the first 2 weeks of life influenced the development of the gut microbiota.
Molecular characterization of a Xylanase-producing fungus isolated from fouled soil

Xylanase (EC 3. 2. 1. 8), hydrolyzes xylo-oligosaccharides into D-xylose and required for complete hydrolysis of native cellulose and biomass conversion. It has broad range of applications in the pulp and paper, pharmaceutical and Agri-food industries. Fifty fungal species were isolated from the fouled soil around an oil refinery and screened for the production of xylanase enzyme by enrichment culture techniques. The isolated fungal strain was identified as Hypocrea lixii SS1 based on the results of biochemical tests and 18s rRNA sequencing. The phylogenetic tree was constructed using the MEGA 5 software. Further, Hypocrea lixii SS1 was tested for the ability to utilize the sunflower oil sludge (waste from the oil industry) as the sole carbon source for xylanase production. The growth characteristics of Hypocrea lixii SS1 were also studied and maximum growth was found on the 7th day of incubation. The fungus showed a remarkable xylanase production of 38.9 U/mL. Xylanase was purified using a combination of 0–50% NH4SO2 precipitation, DEAE-sepharose and Sephacryl S-200 chromatography. Single peak obtained in RP-HPLC confirms the purity of xylanase. Further the enzyme produced was affirmed as xylanase with its molecular weight (29 kDa) using SDS-PAGE.
Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS)

Abstract We present new methods for cell line classification using multivariate time series bioimpedance data obtained from electric cell-substrate impedance sensing (ECIS) technology. The ECIS technology, which monitors the attachment and spreading of mammalian cells in real time through the collection of electrical impedance data, has historically been used to study one cell line at a time. However, we show that if applied to data from multiple cell lines, ECIS can be used to classify unknown or potentially mislabeled cells, factors which have previously been associated with the reproducibility crisis in the biological literature. We assess a range of approaches to this new problem, testing different classification methods and deriving a dictionary of 29 features to characterize ECIS data. Most notably, our analysis enriches the current field by making use of simultaneous multi-frequency ECIS data, where previous studies have focused on only one frequency; using classification methods to distinguish multiple cell lines, rather than simple statistical tests that compare only two cell lines; and assessing a range of features derived from ECIS data based on their classification performance. In classification tests on fifteen mammalian cell lines, we obtain very high out-of-sample predictive accuracy. These preliminary findings provide a baseline for future large-scale studies in this field.