Miracle-dz/UniFAR-FTUs huggingface dataset:
Case-Control Study of Individuals with Discrepant Nucleocapsid and Spike Protein SARS-CoV-2 IgG Results in the assessment of suspected multisystem

Laboratory-based methods for SARS-CoV-2 antibody detection vary widely in performance. However, there are limited prospectively-collected data on assay performance, and minimal clinical information to guide interpretation of discrepant results. METHODS: Over a 2-week period, 1080 consecutive plasma samples submitted for clinical SARS-CoV-2 IgG testing were tested in parallel for anti-nucleocap-sid IgG (anti-N, Abbott) and anti-spike IgG (anti-S1, EUROIMMUN). Chart review was conducted for samples testing positive or borderline on either assay, and for an age/sex-matched cohort of samples negative by both assays. CDC surveillance case deﬁnitions were used to determine clinical sensitivity/speciﬁcity and conduct receiver operating characteristics curve analysis. RESULTS: There were 52 samples positive by both methods, 2 positive for anti-N only, 34 positive for anti-S1 only, and 27 borderline for anti-S1. Of the 34 individuals positive for anti-S1 alone, 8 (24%) had conﬁrmed COVID-19. No anti-S1 borderline cases were positive for anti-N or had conﬁrmed/probable COVID-19. The anti-N assay was less sensitive (84.2% [95% CI 72.1-92.5%] vs 94.7% [95% CI 85.4-98.9%]) but more spe-ciﬁc (99.2% [95% CI 95.5-100%] vs 86.9% [95% CI 79.6-92.3%]) than anti-S1. Abbott anti-N sensitivity could be improved to 96.5% with minimal effect on speciﬁcity if the index threshold was lowered from 1.4 to 0.6. CONCLUSION: Real-world concordance between different serologic assays may be lower than previously described in retrospective studies. These ﬁndings have implications for the interpretation of SARS-CoV-2 IgG results, especially with the advent of spike antigen-targeted vaccination, as a subset of patients with true infection are anti-N negative and anti-S1 positive.
Ef ﬁ cacy and safety of repeated use of ulipristal acetate in uterine ﬁ broids

Objective: To investigate the ef ﬁ cacy and safety of repeated 12-week courses of 5 or 10 mg daily of ulipristal acetate for intermittent treatment of symptomatic uterine ﬁ broids. 80%. baseline broid volume patients ulipristal acetate, both Ulipristal acetate was well tolerated with less than 5% of patients discontinuing treatment due to adverse events.
Are molecular cytogenetics and bioinformatics suggesting diverging models of ancestral mammalian genomes?

Author(s): Froenicke, Lutz; Caldes, Montserrat Garcia; Graphodatsky, Alexander; Muller, Stefan; Lyons, Leslie A; Robinson, Terence J; Volleth, Marianne; Yang, Fengtang; Wienberg, Johannes | Abstract: "Excavating" ancestral genomes The recent release of the chicken genome sequence (Hillier et al. 2004Go) provided exciting news for the comparative genomics community as it allows insights into the early evolution of the human genome. A bird species can now be used as an outgroup to model early mammalian genome organization and reshuffling. The genome sequence data have already been incorporated in a computational analysis of chicken, mouse, rat, and human genome sequences for the reconstruction of the ancestral genome organization of both a mammalian ancestor as well as a murid rodent ancestor (Hillier et al. 2004Go; Bourque et al. 2005Go). This bioinformatic effort joins a molecular cytogenetic model (Richard et al. 2003Go; Yang et al. 2003Go; Robinson et al. 2004Go; Svartman et al. 2004Go; Wienberg 2004Go; Froenicke 2005Go) as the second global approach to explore the architecture of the ancestral eutherian karyotype—a fundamental question in comparative genomics. Since both models use the human genome as reference, they are readily comparable. Surprisingly, however, they share few similarities. Only two small autosomes and the sex chromosomes of the hypothesized ancestral karyotypes are common to both. Unfortunately, given its significance, neither the extent of these differences nor their impact on comparative genomics have been discussed by Bourque and colleagues (2005Go). In an attempt to redress this, we compare the two methods of ancestral genome reconstruction, verify the resulting models, and discuss reasons for their apparent divergence.
An extended nonlinear transform domain adaptive filter

The concept of nonlinear transform domain adaptive filtering is extended to handle general inputs. Two solutions are proposed and a local temporal relationship is established between them. Layered implementation is shown to achieve performance comparable to the linear embedding solution with considerably reduced computations. Computer simulation shows improved learning performance compared to the LMS based structure driven with a non-Gaussian input. <<ETX>>
FINAL ACCEPTED VERSION Effects of midodrine on exercise-induced hypotension and blood pressure recovery in autonomic failure by

We tested the hypothesis that the oral (cid:1) -1 adrenergic agonist, midodrine, would limit the fall in arterial pressure observed during exercise in patients with pure autonomic failure (PAF). 14 subjects with PAF underwent a stand test, incremental supine cycling exercise (25, 50, 75 W), and ischemic calf exercise, before (control) and one hour after ingesting 10 mg midodrine. Heart rate (HR, ECG), beat-to-beat blood pressure (MAP, arterial catheter), cardiac output (Q, open-circuit acetylene breathing), forearm blood flow (FBF, doppler ultrasound), and calf blood flow (CBF, venous occlusion plethysmography) were measured. The fall in MAP after standing for 2 min was similar (~60 mm Hg, p = 0.62). Supine MAP immediately before cycling was greater after midodrine (124 ± 6 vs 117 ± 6 mm Hg, p < 0.03), but cycling caused a workload-dependent hypotension (p < 0.001) while increases in Q were modest but similar. Midodrine increased MAP and total peripheral resistance (TPR) during exercise (p < 0.04), but the exercise-induced fall in MAP and TPR were similar during control and midodrine (p = 0.27 and 0.14). FBF during cycling was not significantly reduced by midodrine (p > 0.2). By contrast, recovery of MAP -after cycling was faster (p < 0.04) after midodrine (~25 mmHg higher after 5 minutes). Ischemic calf exercise evoked similar peak CBF in both trials, but midodrine reduced the hyperemic response over five minutes of recovery (p < 0.02). We conclude midodrine improves blood pressure and TPR during exercise and dramatically improves the recovery of MAP after exercise. Catecholamine assays Catecholamines in plasma were measured by reverse phase HPLC with electrochemical detection after extraction with activated alumina. 3 ml of arterial blood were collected prior to exercise and at peak exercise in control and midodrine conditions. Samples were placed on ice immediately, and 1 mL of plasma was absorbed onto activated alumina at pH 8.6, washed and eluted with dilute acid. Eluates were injected onto a reverse phase (C18) column, which separates the individual catecholamines (Norepinephrine, Epinephrine and Dopamine), and were detected coulometrically and quantified with the aid of an internal standard (DHBA).
Customer Segmentation Using Fuzzy C-Means Method and Fuzzy Rfm

The study was conducted to explore the application of data mining in customer segmentation for laundry business. Intense competition in similar business encourage the company to manage its customer optimally. With a large number customers, the problem that has to be faced is how to determine potential customers. The process conducted is to divide customers into several segments with the aims to build customer profiles based on patterns of transactions that have been carried out. Customer profile that is created is a profile that shows the potential level of the customer. There are five categories of potential customers form highest to lowest. Implementations is done using two methods of data mining, namely clustering, and segmentation. Clustering method using Fuzzy C-Means algorithm while segmentation using Fuzzy RFM (Recency, Frequency, and Monetary) models. Studies conducted succeeded in grouping customers based on transcations conducted (Recency, Frequency, and Monetary). Therefore the mining results can be used to assist companies in the process of identifying the customer and also as an alternative marketing strategy.
G2WAY: A PAIRWISE TEST DATA GENERATION STRATEGY WITH AUTOMATED EXECUTION SUPPORT

This paper discusses a new strategy, called G2Way, for pairwise test data generation. Unlike existing strategies, G2Way also supports (concurrent) automated execution integrated within the strategy itself. Furthermore, empirical evidence demonstrates that G2Way, in some cases, outperformed existing strategies in terms of the number of generated test data (as compared to that of AETG and its variations, IPO, SA, GA, ACA, and All Pairs). Notwithstanding the differences in the computing environment employed as well as the overhead incurred to permit automated execution, the test generation time is also within reasonable value. as well as support an ef ﬁ cient generation of pairwise test data. This paper describes the G2Way strategy (Klaib et al., 2008) as well as compares its effectiveness against existing strategies including AETG (Cohen, Dalal, Fredman & Patton, 1997) and AETGm (Cohen, Gibbons, Mugridge & Coulbourn 2003), IPO (Lei & Tai, 1998), SA (Yan & Zhang, 2006), GA (Shiba et al., 2004), ACA (Shiba et al., 2004), and All Pairs (Bach, 2009). Empirical evidence demonstrates that G2Way, in some cases, outperformed other strategies in terms of the number of generated test data.
HDAC/HDACi, IgH 3’RR Enhancers, B-Cells and B-Cell Lymphomas

Numerous B-cell lymphomas feature translocations linking oncogenes with the immunoglobulin heavy chain (IgH) locus. Epigenetic drugs such as histone deacetylase inhibitors (HDACi) have been approved to treat certain T-cell and B-cell lymphomas. Transcription, accessibility and remodelling of the IgH locus are under the control of the potent cis -acting 3’ regulatory region (3’RR) suggesting that its targeting would be of therapeutic interest to reduce oncogenicity in vivo . We thus investigated HDAC recruitment and HDACi effects on 3’RR activation in normal mature mouse B-cells and whether or not results paralleled those obtained with mature mouse B-cell lymphomas. HDAC1 was recruited to the hs1,2 enhancer element in the centre of the 3’RR palindromic structure during mouse B-cell
Direct and Inverse Dynamic Model of the I.Ca.Ro. Parallel Manipulator

The present paper discusses the dynamic model of the I.Ca. Ro. Cartesian Parallel Manipulator, a robot with 3-CPU kinematics capable of motions of pure translation: the modelling of robot's dynamics has been performed by means of the principle of virtual works and several computer simulations allowed a thorough study of its dynamic behaviour. Several tests have shown the effectiveness of the model even if further investigations have to be considered to take into account friction and joint deflections.
RGE1, a new bHLH protein, expresses in endosperm to control embryo growth

We have isolated two dominant mutants from screening approximately 50,000 RIKEN activation-tagging lines that have short inflorescence internodes. The activation T-DNAs were inserted near a putative bHLH gene and expression of this gene was increased in the mutant lines. Over-expression of this bHLH gene produced the original mutant phenotype indicating it was responsible for the mutants. Specific expression was observed during seed development. The loss-of-function mutation of the RGE1 gene caused small and shriveled seeds. The embryo of the loss-of-function mutant showed retarded growth after the heart stage although abnormal morphogenesis and pattern formation of the embryo and endosperm was not observed. We named this bHLH gene RGE1 ( RETRADED GROWTH OF EMBRYO 1 ). RGE1 in cells using the -glucuronidase reporter gene and RT-PCR. specific down-regulation of putative GDSL motif lipase genes in the rge1-1 indicating possible involvement of these genes in seed morphology. These data suggest that RGE1 expression in the endosperm at the heart stage of embryo development plays an important role in controling embryo growth.
of Danger Vigorous Allograft Rejection in the Absence

Tolerance to self is a necessary attribute of the immune system. It is thought that most autoreactive T cells are deleted in the thymus during the process of negative selection. However, peripheral tolerance mechanisms also exist to prevent development of autoimmune diseases against peripheral self-Ags. It has been proposed that T cells develop tolerance to peripheral self-Ags encountered in the absence of inﬂammation or “danger” signals. We have used immunodeﬁcient Rag 1 2 / 2 mice to study the response of T cells to neo-self peripheral Ags in the form of well-healed skin and vascularized cardiac allografts. In this paper we report that skin and cardiac allografts without evidence of inﬂammation are vigorously rejected by transferred T cells or when recipients are reconstituted with T cells at a physiologic rate by nude bone graft transplantation. These results provide new insights into the role of inﬂammation or “danger” in the initiation of T cell-dependent immune responses. These ﬁndings also have profound implications in organ transplantation and suggest that in the absence of central deletional tolerance, peripheral tolerance mechanisms are not sufﬁcient to inhibit alloimmune responses even in the absence of inﬂammation or danger. The Journal of Immunology, 2000, 164: 3065–3071.
[Re] Warm-Starting Neural Network Training

We reproduce the results of the paper ”On Warm-Starting Neural Network Training. ” In many real-world applications, the training data is not readily available and is accumulated over time. As training models from scratch is a time-consuming task, it is preferred to use warm-starting, i.e., using the already existing models as the starting point to obtain faster convergence. This paper investigates the effect of warm-starting on the final model s̓ performance. It identifies a noticeable gap between warm-started and randomly-initialized models, hereafter referenced as the warm-starting gap. Furthermore, they provide a solution to mitigate this side-effect. In addition to reproducing the original paper s̓ results, we propose an alternative solution and assess its effectiveness.
Habitat Selection by Brown Bears with Varying Levels of Predation Rates on Ungulate Neonates

: In northern Eurasia, large carnivores overlap with semi-domestic reindeer ( Rangifer tarandus ) and moose ( Alces alces ). In Scandinavia, previous studies have quantiﬁed brown bear ( Ursus arctos) spring predation on neonates of reindeer (mostly in May) and moose (mostly in June). We explored if habitat selection by brown bears changed following resource pulses and whether these changes are more pronounced on those individuals characterised by higher predatory behaviour. Fifteen brown bears in northern Sweden (2010–2012) were ﬁtted with GPS proximity collars, and 2585 female reindeers were collared with UHF transmitters. Clusters of bear positions were visited to investigate moose and reindeer predation. Bear kill rates and home ranges were calculated to examine bear movements and predatory behaviour. Bear habitat selection was modelled using resource selection functions over four periods (pre-calving, reindeer calving, moose calving, and post-calving). Coefﬁcients of selection for areas closer to different land cover classes across periods were compared, examining the interactions between different degrees of predatory behaviour (i.e., high and low). Bear habitat selection differed throughout the periods and between low and high predatory bears. Differences among individuals’ predatory behaviour are reﬂected in the selection of habitat types, providing empirical evidence that different levels of specialization in foraging behaviour helps to explain individual variation in bear habitat selection.
Identification and characterisation of glucagon-like peptide-1 receptor expressing cells using a new transgenic mouse model

Glucagon-like peptide-1 (GLP-1) is an intestinal hormone with widespread actions on metabolism. Therapies based on GLP-1 are highly effective because they increase glucose-dependent insulin secretion in people with type 2 diabetes, but many reports suggest that GLP-1 has additional beneficial, or in some cases potentially dangerous, actions on other tissues, including the heart, vasculature, exocrine pancreas, liver and central nervous system. Identifying which tissues express the GLP-1 receptor (GLP1R) is critical for the development of GLP-1 based therapies. Our objective was to identify and characterise the targets of GLP-1 in mice, using a method independent of GLP1R antibodies. Using newly-generated glp1r-cre mice crossed with fluorescent reporter strains, we show that major sites of glp1r expression include pancreatic β and δ -cells, vascular smooth muscle, cardiac atrium, gastric antrum/pylorus, enteric neurones and vagal and dorsal root ganglia. In the central nervous sytem, glp1r-fluorescent cells were abundant in the area postrema, arcuate nucleus, paraventricular nucleus and ventromedial hypothalamus. Sporadic glp1r-fluorescent cells were found in pancreatic ducts. No was observed in ventricular cardiomyocytes. Glp1r-positive enteric and vagal neurons were activated by GLP-1, and may contribute to intestinal and central responses to locally-released GLP-1, such as regulation of intestinal secretomotor activity and appetite.
Identiﬁcation of a Two-MicroRNA Signature in Plasma as a Novel Biomarker for Very Early Diagnosis of Breast Cancer

Simple Summary: Breast cancer diagnosis at the initial stage of the disease considerably improves prognosis and survival rates. This retrospective study aimed to develop and validate a plasma microRNA signature as a non-invasive biomarker for early-stage breast cancer diagnosis. We conﬁrmed in a testing cohort of 54 BC patients and 89 healthy volunteers the value of a signature based on miR-30b and miR-99a levels in plasma samples for stage I breast cancer detection. Furthermore, our results were blindly validated in a second cohort of 74 breast cancer and 74 healthy samples. The proposed microRNA signature presented high value as a fast, cost-effective, and non-invasive biomarker for early-stage breast cancer detection, which will lead to a better prognosis for breast cancer patients. Abstract: The early diagnosis of breast cancer is essential to improve patients’ survival rate. In this context, microRNAs have been described as potential diagnostic biomarkers for breast cancer. Particularly, circulating microRNAs have a strong value as non-invasive biomarkers. Herein, we assessed the potential of a microRNA signature based on miR-30b-5p and miR-99a-5p levels in plasma as a diagnostic biomarker for breast cancer. This two-microRNA signature was constructed by Principal Component Analysis and its prognostic value was assessed in a discovery cohort and blindly validated in a second cohort from an independent institution. ROC curve analysis and biomarker performance parameter evaluation demonstrated that our proposed signature presents a high value as a non-invasive biomarker for very early detection of breast cancer. In addition, pathway enrichment analysis identiﬁed three of the well-known pathways involved in cancer as targets of the two microRNAs.
An Effective Mechanism for Handling Open Voids in Wireless Sensor Networks

— Open voids are often formed on the boundary of a deployed wireless sensor network (WSN). Geographical routing protocols must handle these voids where packets fall into local minima. To contribute on resolving this problem, we propose in this paper an effective mechanism for handling this kind of voids. It uses two simple and effective algorithms ensuring discovery and maintenance of the network boundary. Contrary to existing void-handling techniques, our proposal uses the information about this boundary and the destination node for better directing data packets in optimal paths. Thus, open voids are avoided with great efficiency. The proposed mechanism has good performances in terms of packet delivery ratio, average routing path length, boundary energy consumed per delivered packet and average residual deadline of all delivered packets.
Regulation of Opioid Receptor Activities 1

From the demonstration of the existence of multiple opioid receptors and the isolation of the endogenous opioid peptides in the brain, it is now clear that the activities of these receptors can be regulated at various levels. The distinct brain regional distribution of the receptor suggests a tight transcriptional reg- ulation. Early findings of alterations in receptor binding associated with tolerance to the opioids implies that the receptor life cycle can be influenced by the presence of agonists. Until the recent reported cloning of opioid receptors, the detailed studies of the molecular mechanisms involved in their regulation could not be conducted. With the availability of the cDNA clones of the m -, d - and k -opioid receptors, and the elucidation of their gene structures, it is now possible to investigate opioid recep- tor regulation at various levels, and to identify the specific receptors involved in the pharmacological actions of the opi- oids. It is now also possible to define the receptor domains responsible for the opioid ligand selectivities, agonist activa- tion, and agonist-induced inactivation. Summarized in this re-port are our past efforts in defining the regulation of opioid receptor activities. Studies using heterologous expression techniques, mutational analysis of receptors to characterize transcriptional elements, and the in vivo manipulation of the receptor gene levels have made it is possible to determine the mechanisms whereby these receptors are regulated. Our studies have also identified the unique characteristics of opioid receptors as members of the superfamily of G protein-coupled receptors.