Miracle-dz/UniFAR-FTUs huggingface dataset:
Transfusion support in preterm neonates <1500 g and/or <32 weeks in a tertiary care center: A descriptive study

Background: Lack of recent studies focusing on indications, pattern, and benefits of transfusions in low birth weight (B.Wt) and low gestational age (GA) preterm neonates prompted us to undertake this study. Aim: To estimate the transfusion requirements and outcomes in preterm neonates <1500 g and/or <32 weeks. Settings And Design: This is a cross-sectional study conducted over a period of 2 years in a tertiary care center. Materials And Methods: This study was conducted with 101 preterm neonates <1500 g and/or <32 weeks who received blood transfusions in the Neonatal Intensive Care Unit. Restrictive pattern of transfusion was followed. Demographic details and antenatal, neonatal, laboratory, and transfusion parameters were collected. Statistical Analysis Used: Statistical analyses were performed using SPSS 16. Results: The study participants received 311 transfusions. Transfusion requirements decreased with increasing GA and B.Wt. Majority of blood transfusions occurred during the first 2 weeks of life. Packed red blood cells (PRBCs) were the most frequent blood components transfused. Ninety-six percent of the study population had an uneventful transfusion. Mean hemoglobin improvement after PRBC transfusions was 2.3 ± 2.1 g/dl. Improvement in apnea occurred in 76% PRBC transfusions. Infants with sepsis, patent ductus arteriosus, bronchopulmonary dysplasia, disseminated intravascular coagulation, and dyselectrolytemia received more number of transfusions. Conclusion: This study would serve as an audit for neonatal blood transfusion therapy. Close adherence to neonatal transfusion policy and restrictive transfusion guidelines helps reduce inappropriate use of blood products and adverse transfusion reactions.
On the role of synaptic stochasticity in training low-precision neural networks

Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes. Here we show that a neural network model with stochastic binary weights naturally gives prominence to exponentially rare dense regions of solutions with a number of desirable properties such as robustness and good generalization performance, while typical solutions are isolated and hard to find. Binary solutions of the standard perceptron problem are obtained from a simple gradient descent procedure on a set of real values parametrizing a probability distribution over the binary synapses. Both analytical and numerical results are presented. An algorithmic extension that allows to train discrete deep neural networks is also investigated.
MUC16 overexpression induced by gene mutations promotes lung cancer cell growth and invasion

Air pollution is one of the leading causes of lung cancer. Air pollution-related lung cancer is a deteriorating public health problem, particularly in developing countries. The MUC16 gene is one of the most frequently mutated genes in air pollution-related lung cancer. In the present study, MUC16 mRNA expression was increased in ∼50% of air pollution-related lung cancer samples obtained from patients residing in air-polluted regions (Xuanwei and Fuyuan, Yunnan, China), and MUC16 mRNA levels were correlated with the degree of air pollution. Furthermore, sequencing of the captured MUC16 gene identified 561 mutation sites within the MUC16 gene in the air pollution-related lung cancer tissues. Interestingly, some mutations at specific sites and one region were associated with MUC16 mRNA up-regulation. Therefore, we further investigated the impacts of gene mutation on MUC16 expressions and cell behaviors in cultured cells by inducing certain mutations within the MUC16 gene using CRISPER/Cas9 genome editing technology. Certain mutations within the MUC16 gene induced MUC16 overexpression at both the mRNA and the protein level in the cultured cells. Additionally, MUC16 overexpression induced by gene mutations had functional effects on the behavior of lung cancer cells, including increasing their resistance to cisplatin, promoting their growth, and enhancing their migration and invasion capabilities. Based on the data, we suggest that MUC16 mutations potentially associated with air pollution may participate in the development and progression of air pollution-related lung cancer. In addition to ovarian cancer, MUC16 may be a candidate biomarker for lung cancer.
Salmonella isolated from chicken carcasses from a slaughterhouse in the state of Mato Grosso, Brazil: antibiotic resistance profile, serotyping, and characterization by repetitive sequence‐based PCR system

ABSTRACT Salmonella is one of the major causative agents of foodborne infections. Salmonellosis becomes more dangerous when strains resistant to several antibiotics are found in food, especially in chicken, one of the primary transmission vehicles of this pathogen for humans. The present study aimed to estimate the occurrence of Salmonella in chicken carcasses from the state of Mato Grosso, Brazil, as well as determine the antibiotic resistance profile and genotypic characteristic of multi‐drug resistant (MDR) isolates. During a 15‐month period, from 01/2014 to 05/2015, 850 samples of chilled fresh chicken carcasses were sampled from a slaughterhouse and submitted to Salmonella determinations according to the ISO‐6579/2002 method, serotyping and multiplex PCR. The disc diffusion test was applied for 17 antibiotics, according to CLSI (2014). Five isolates were genotyped by repetitive sequence‐based PCR using the semi‐automated DiversiLab (bioMérieux®) system. The occurrence of Salmonella in chicken carcasses was of 3.7% (31/850), with only 4 strains (12.9%) presenting as MDR, and 6 strains (19.35%) displaying ESBL. The predominant serovars were Salmonella Infantis (35.4%, 11/31), and S. Abony (25.8%, 8/31), followed by serovars S. Agona (12.9%, 4/31), S. Schwarzengrund (9.7%, 3/31), S. Anatum and Salmonella enterica O:4,5 (6.5%, 2/31), and only one Salmonella enterica O:6,7 strain (3.2%, 1/31). All isolates were resistant to one to 5 classes of antibiotics in decreasing order: folate pathway inhibitors, &bgr;‐lactams (cephalosporins, penicillin, monobactams), tetracyclines, chloramphenicol, and gentamicin. However, strains sensitive to florfenicol, streptomycin, nalidixic acid, ciprofloxacin, enrofloxacin, and nitrofurantoin were also found in this study. Genotyping revealed 98 to 99% homology between 3 Salmonella strains, which displayed high phenotypic resistance similarity to &bgr;‐lactams and folate pathway inhibitors. Detection of MDR non‐typhoid Salmonella in chicken slaughterhouses with quality assurance systems such as Hazard Analysis and Critical Points and Implemented Good Manufacturing Practices is a concern, reinforcing the need for constant monitoring of these pathogens, with the purpose of safeguarding the safety of their products.
Fatty acid composition of Danish margarines and shortenings, with special emphasis on trans fatty acids.

Trans fatty acids from hydrogenated vegetable and marine oils could be as hypercholesterolemic and atherogenic as saturated fatty acids. Hence, it is important to know the fatty acid composition in major food contributors, e.g., margarines and shortenings. In 1992 margarines were examined, and in 1995 brands covering the entire Danish market were examined. Significant amounts of trans-18:1 were found only in hard margarines (mean: 4.2 +/- 2.8%) and shortenings (mean: 6.8 +/- 3.1%), whereas the semisoft and soft margarines contained substantially less trans-18:1 in 1995 than in 1992. Where marine oils had been used to a larger degree the mean trans-monoenoic content was about 15%, of which close to 50% was made up of long-chain (C20 and C22) trans fatty acids. A noteworthy decrease in the content of trans-18:1 had occurred for the semisoft margarines, from 9.8 +/- 6.1% in 1992 to 1.2 +/- 2.2% in 1995. Calculated from sales figures, the supply of trans-18:1 plus saturated fatty acids from margarines has decreased over this three-year period by 1.4 g/day, which has been replaced by cis monounsaturated and polyunsaturated fatty acids.
The Role of Routine Preoperative Magnetic Resonance Imaging in Idiopathic Scoliosis: A Ten Years Review

Study Design Prospective study. Purpose To determine the role of routine preoperative magnetic resonance imaging (MRI) to detect the incidence and risk factors for intraspinal anomalies in patients with idiopathic scoliosis. Overview of Literature The incidence and risk factors for intraspinal anomalies in patients with idiopathic scoliosis are controversial, and the indications for preoperative MRI in these patients vary among centers. Methods Information on patients with idiopathic scoliosis who were surgical candidates over 10 years (age at presentation, sex, magnitude and apex of major curve, intraspinal anomalies detected by MRI, and neurological examination results) were recorded, the patients were grouped according to the intraspinal anomaly, and the data were analyzed. Results Of the 271 patients with idiopathic scoliosis, 27 had neuroaxial abnormalities (9.9%). Of these 27 patients, 14 (52%) underwent a neurosurgical procedure. Significant differences were observed in the frequency of early disease onset and male sex (p<0.05) between the group of patients with neuroaxial abnormalities on preoperative MRI and those who did not have a cord anomaly. No difference was detected in the magnitude or direction of the curve. Conclusions Neuroaxial abnormalities in patients with idiopathic scoliosis and a normal neurological examination were highly frequent (9.9%). Missing these abnormalities before surgery could inflict catastrophic postoperative complications. The incidence of neuroaxial abnormalities was higher in male patients and in those with early onset disease. Thus, MRI is essential for all patients with idiopathic scoliosis who require medical intervention.
MRI-visible perivascular spaces in cerebral amyloid angiopathy and hypertensive arteriopathy

Objective: To assess MRI-visible enlarged perivascular spaces (EPVS) burden and different topographical patterns (in the centrum semiovale [CSO] and basal ganglia [BG]) in 2 common microangiopathies: cerebral amyloid angiopathy (CAA) and hypertensive arteriopathy (HA). Methods: Consecutive patients with spontaneous intracerebral hemorrhage (ICH) from a prospective MRI cohort were included. Small vessel disease MRI markers, including cerebral microbleeds (CMBs), cortical superficial siderosis (cSS), and white matter hyperintensities (WMH), were rated. CSO-EPVS/BG-EPVS were assessed on a validated 4-point visual rating scale (0 = no EPVS, 1 = <10, 2 = 11–20, 3 = 21–40, and 4 = >40 EPVS). We tested associations of predefined high-degree (score >2) CSO-EPVS and BG-EPVS with other MRI markers in multivariable logistic regression. We subsequently evaluated associations with CSO-EPVS predominance (i.e., CSO-EPVS > BG-EPVS) and BG-EPVS predominance pattern (i.e., BG-EPVS > CSO-EPVS) in adjusted multinomial logistic regression (reference group, BG-EPVS = CSO-EPVS). Results: We included 315 patients with CAA-ICH and 137 with HA-ICH. High-degree CSO-EPVS prevalence was greater in CAA-related ICH vs HA-related ICH (43.8% vs 17.5%, p < 0.001). In multivariable logistic regression, high-degree CSO-EPVS was associated with lobar CMB (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.10–1.61, p = 0.003) and cSS (OR 2.08, 95% CI 1.30–3.32, p = 0.002). Deep CMBs (OR 2.85, 95% CI 1.75–4.64, p < 0.0001) and higher WMH volume (OR 1.02, 95% CI 1.01–1.04, p = 0.010) were predictors of high-degree BG-EPVS. A CSO-EPVS–predominant pattern was more common in CAA-ICH than in HA-ICH (75.9% vs 39.4%, respectively, p < 0.0001). CSO-PVS predominance was associated with lobar CMB burden and cSS, while BG-EPVS predominance was associated with HA-ICH and WMH volumes. Conclusions: Different patterns of MRI-visible EPVS provide insights into the dominant underlying microangiopathy type in patients with spontaneous ICH.
Gazelle: A Low Latency Framework for Secure Neural Network Inference

The growing popularity of cloud-based machine learning raises a natural question about the privacy guarantees that can be provided in such a setting. Our work tackles this problem in the context where a client wishes to classify private images using a convolutional neural network (CNN) trained by a server. Our goal is to build efficient protocols whereby the client can acquire the classification result without revealing their input to the server, while guaranteeing the privacy of the server's neural network. To this end, we design Gazelle, a scalable and low-latency system for secure neural network inference, using an intricate combination of homomorphic encryption and traditional two-party computation techniques (such as garbled circuits). Gazelle makes three contributions. First, we design the Gazelle homomorphic encryption library which provides fast algorithms for basic homomorphic operations such as SIMD (single instruction multiple data) addition, SIMD multiplication and ciphertext permutation. Second, we implement the Gazelle homomorphic linear algebra kernels which map neural network layers to optimized homomorphic matrix-vector multiplication and convolution routines. Third, we design optimized encryption switching protocols which seamlessly convert between homomorphic and garbled circuit encodings to enable implementation of complete neural network inference. We evaluate our protocols on benchmark neural networks trained on the MNIST and CIFAR-10 datasets and show that Gazelle outperforms the best existing systems such as MiniONN (ACM CCS 2017) by 20 times and Chameleon (Crypto Eprint 2017/1164) by 30 times in online runtime. Similarly when compared with fully homomorphic approaches like CryptoNets (ICML 2016) we demonstrate three orders of magnitude faster online run-time.
Average SINR Calculation of a Persymmetric Sample Matrix Inversion Beamformer

Based on the Bartlett's decomposition of a Wishart random matrix, we study the normalized output signal-to-interference-plus-noise ratio (SINR) of a sample matrix inversion (SMI) beamformer with exploiting a priori information on persymmetric structures in the received signal. The persymmetric structure exists when a system is equipped with a symmetrically spaced linear array or symmetrically spaced pulse trains. In the matched case, we obtain an exact expression for the expectation of the normalized output SINR (i.e., average SINR loss) of the persymmetric SMI beamformer. Considering the mismatch in the signal steering vector, we derive an approximate expression for the average SINR loss of the persymmetric SMI beamformer in a non-homogeneous environment where the test and training data have different covariance matrices. These theoretical results are all verified by using Monte Carlo techniques. Simulation results reveal that the exploitation of the persymmetric structure is equivalent to doubling the amount of training data, and thus the SINR loss of the persymmetric SMI beamformer can be significantly reduced. In particular, the persymmetric SMI beamformer can work in the case of limited training data where the traditional beamformers cannot work.
Characterization of Epitaxial Layers Using Scanning Microwave Microscopy

In this article, atomic force microscopy and its variation scanning microwave microscopy were used for characterization of the epitaxial layers with different dopant doping levels specified by the manufacturing data. The vapour phase epitaxy was used for the deposition of individual layers on a silicon substrate. The measured data were visualized and compared with the manufacturing data.
Politics of policy learning: Evaluating an experiment on free pricing arrangements in Dutch dental care

In Dutch healthcare, new market mechanisms have been introduced on an experimental basis in an attempt to contain costs and improve quality. Informed by a constructivist approach, we demonstrate that such experiments are not neutral testing grounds. Drawing from semi-structured interviews and policy texts, we reconstruct an experiment on free pricing in dental care that turned into a critical example of market failure, influencing developments in other sectors. Our analysis, however, shows that (1) different market logics and (2) different experimental logics were reproduced simultaneously during the course of the experiment. We furthermore reveal how (3) evaluation and political life influenced which logics were reproduced and became taken as the lessons learned. We use these insights to discuss the role of evaluation in learning from policy experimentation and close with four questions that evaluators could ask to better understand what is learned from policy experiments, how, and why.
Interactions between a Heparin Trisaccharide Library and FGF-1 Analyzed by NMR Methods

FGF-1 is a potent mitogen that, by interacting simultaneously with Heparan Sulfate Glycosaminoglycan HSGAG and the extracellular domains of its membrane receptor (FGFR), generates an intracellular signal that finally leads to cell division. The overall structure of the ternary complex Heparin:FGF-1:FGFR has been finally elucidated after some controversy and the interactions within the ternary complex have been deeply described. However, since the structure of the ternary complex was described, not much attention has been given to the molecular basis of the interaction between FGF-1 and the HSGAG. It is known that within the complex, the carbohydrate maintains the same helical structure of free heparin that leads to sulfate groups directed towards opposite directions along the molecular axis. The precise role of single individual interactions remains unclear, as sliding and/or rotating of the saccharide along the binding pocket are possibilities difficult to discard. The HSGAG binding pocket can be subdivided into two regions, the main one can accommodate a trisaccharide, while the other binds a disaccharide. We have studied and analyzed the interaction between FGF-1 and a library of trisaccharides by STD-NMR and selective longitudinal relaxation rates. The library of trisaccharides corresponds to the heparin backbone and it has been designed to interact with the main subsite of the protein.
The influence of prior multiport experience on the learning curve for single-port thoracoscopic lobectomy: a multicentre comparative study†

OBJECTIVES Competency in video-assisted thoracoscopic (VATS) lobectomy is estimated to be reached after the surgeon completes 50 cases. We wanted to explore the impact of competency in performing multiport VATS lobectomies on completing the needed number of single-port VATS. METHODS In a retrospective multicentre study, 6 individual surgeons (3 with previous competency in multiport VATS lobectomy and 3 without) submitted their first 50 cases of single-port VATS lobectomies. Extended and sublobar resections were excluded. Pre-, peri- and postoperative data were compared between the groups of surgeons. Chi-square and Wilcoxon's rank tests were used. The less experienced surgeons had previously attended dedicated training courses and visited with experts. RESULTS A total of 300 cases were included [150 in Group A (surgeons with previous experience performing multiport VATS) and 150 in Group B (surgeons without extensive experience performing multiport VATS)]. Surgeons in Group B performed significantly more elective open lobectomies during their learning curve period than surgeons of Group A (58 vs 1). Patients in Group B were older and had more risk factors. There were 3 in-hospital deaths (respiratory failure, sepsis and fatal stroke). There were no differences between the groups in operative time, intensive care unit admissions, hospital stay, total complications, tumour size or number of N2 stations explored. Only the duration of intercostal drainage (2 vs 3 days, 0.012), incidence of respiratory tract infections (1% vs 7%, P = 0.002) and conversion rates (4% vs 12%, P = 0.018) were better in Group A. Patients characteristics played a role in the development of respiratory infections and longer drainage times but not in the need for conversion. CONCLUSIONS Overall, postoperative outcomes during the learning curve period for single-port VATS lobectomies are not noticeably affected by previous multiport VATS experience. Less experienced surgeons were more selective in order to achieve competency (more lower lobectomies and more open operations). Competency in single-port VATS lobectomy can be acquired safely with adequate training and good case selection but will be achieved 'faster' with previous competency in multiport VATS lobectomy.
Distinct Phenotype, Longitudinal Changes of Numbers and Cell-Associated Virus in Blood Dendritic Cells in SIV-Infected CD8-Lymphocyte Depleted Macaques

Loss of circulating CD123+ plasmacytoid dendritic cells (pDCs) during HIV infection is well established. However, changes of myeloid DCs (mDCs) are ambiguous since they are studied as a homogeneous CD11c+ population despite phenotypic and functional heterogeneity. Heterogeneity of CD11c+ mDCs in primates is poorly described in HIV and SIV infection. Using multiparametric flow cytometry, we monitored longitudinally cell number and cell-associated virus of CD123+ pDCs and non-overlapping subsets of CD1c+ and CD16+ mDCs in SIV-infected CD8-depleted rhesus macaques. The numbers of all three DC subsets were significantly decreased by 8 days post-infection. Whereas CD123+ pDCs were persistently depleted, numbers of CD1c+ and CD16+ mDCs rebounded. Numbers of CD1c+ mDCs significantly increased by 3 weeks post-infection while numbers of CD16+ mDCs remained closer to pre-infection levels. We found similar changes in the numbers of all three DC subsets in CD8 depleted animals as we found in animals that were SIV infected animals that were not CD8 lymphocyte depleted. CD16+ mDCs and CD123+ pDCs but not CD1c+ mDCs were significantly decreased terminally with AIDS. All DC subsets harbored SIV RNA as early as 8 days and then throughout infection. However, SIV DNA was only detected in CD123+ pDCs and only at 40 days post-infection consistent with SIV RNA, at least in mDCs, being surface-bound. Altogether our data demonstrate that SIV infection differently affects CD1c+ and CD16+ mDCs where CD16+ but not CD1c+ mDCs are depleted and might be differentially regulated in terminal AIDS. Finally, our data underline the importance of studying CD1c+ and CD16+ mDCs as discrete populations, and not as total CD11c+ mDCs.