Miracle-dz/UniFAR-FTUs huggingface dataset:
ECOLOGICAL AND EVOLUTIONARY IMPLICATIONS OF CARBON ALLOCATION IN MARINE PHYTOPLANKTON AS A FUNCTION OF NITROGEN AVAILABILITY: A FOURIER TRANSFORM INFRARED SPECTROSCOPY APPROACH 1

An imbalance in the cellular C:N ratio may appreciably affect C allocation in algal cells. The consequences of these rearrangements of cellular pools on cell energetics, ecological fitness, and evolutionary trajectories are little known, although they are expected to be substantial. We investigated the fate of C in 11 microalgae cultured semicontinuously at three [NO3−] and constant pCO2. We developed a new computational method for the semiquantitative use of Fourier transform infrared (FTIR) spectroscopy data for the determination of macromolecular composition. No obvious relationship was observed between the taxonomy and the allocation strategies adopted by the 11 species considered in this study. Not all species responded to a lower N availability by accumulating lipids or carbohydrates: Dunaliella parva W. Lerche and Thalassiosira pseudonana Hasle et Heimdal were homeostatic with respect to organic cell composition. A hyperbolic dependence of the lipid concentration from cell volume was observed. The level of reduction of organic constituents of green algae was parabolically related to size and was modulated in response to changes in N availability; the same was not true for the species bearing a “red” chloroplast. The above observations are discussed with respect to phytoplankton species composition and palatability for grazers, oleogenesis, and overall cell energetics.
Type 2 diabetic patients with resistant hypertension should be screened for primary aldosteronism

BP control in diabetic patients is often poor. The contribution of secondary hypertension due to undiagnosed PA in hypertensive type 2 diabetic patients is not well studied. We prospectively screened 100 consecutive Asian type 2 diabetic patients with difficult-to-control or resistant hypertension for PA. PAC (pmol/L) to PRA (ng/mL/h) ratio was measured; those with PAC-to-PRA ratio >550 (corresponding PAC >415) underwent intravenous 0.9% SLT. Patients with PAC ≥140 following SLT had CT adrenals and bilateral AVS. Thirteen patients (13%) were confirmed to have PA, and all had resistant hypertension. Eight had a surgically correctable form of PA. Patients with PA had higher mean (SD) systolic [159.0 (10.6) vs. 146.0 (10.7) mmHg, p=0.001] and diastolic BP [94.6 (6.0) vs. 87.6 (5.9) mmHg, p=0.001], lower serum potassium [3.5 (0.6) vs. 4.3 (0.5) mmol/L, p=0.001], and higher PAC [679.3 (291.0) vs. 239.5 (169.4) pmol/L, p=0.001]. Identification and institution of definitive treatment for PA resulted in better BP control and in a reduction in the use of antihypertensive medications. Our findings demonstrate a high prevalence of PA in type 2 diabetic patients with resistant hypertension. Systematic screening for PA in this select group is recommended, as targeted treatment improves BP control.
Objective validation of central sensitization in the rat UVB and heat rekindling model

The UVB and heat rekindling (UVB/HR) model shows potential as a translatable inflammatory pain model. However, the occurrence of central sensitization in this model, a fundamental mechanism underlying chronic pain, has been debated. Face, construct and predictive validity are key requisites of animal models; electromyogram (EMG) recordings were utilized to objectively demonstrate validity of the rat UVB/HR model.
Neural networks give a warm start to linear optimization problems

Hopfield neural networks and interior point methods are used in an integrated way to solve linear optimization problems. The neural network unveils a warm starting point for the primal-dual interior point method. This approach was applied to a set of real world linear programming problems. Results from a pure primal-dual algorithm provide a yardstick. The integrated approach provides promising results, indicating that there might be a place for neural networks in the "real game" of optimization.
Adhesion Characteristics of Carbon Black Embedded Glass/Epoxy Composite

The surface of glass/epoxy composite material was embedded with carbon black which was dispersed in methyl ethyl ketone (MEK) during the curing process to enhance the adhesion strength of the glass/epoxy composite structure. The morphological effect of the carbon black on the surface of composite was observed using scanning electron microscopy (SEM) and atomic force microscopy (AFM). Quantitative chemical bonding analysis with X-ray photoelectron spectroscopy (XPS) was also performed to observe chemical bonding states on the surface. The lap shear strength of the glass/epoxy composite adhesive joints where composite adherends were embedded with carbon black was investigated with respect to the type and amount of embedment. Also, the tensile properties of the carbon black embedded glass/epoxy composites were measured to observe the mechanical degradation of the composite due to the MEK. The surface free energies of carbon black embedded composites were determined from the van Oss–Chaudhury–Good equation to correlate the lap shear strength of the adhesive joints with the surface free energies of composite adherends. From the experimental results, it was found that the carbon black embedment of the composite adherend improved much the bond strength due to the increased surface roughness on nano-scale as well as increased surface free energy.
The role of intonation and voice quality in the affective speech perception

The perception value of intonation and voice quality is investigated for six affective states: anger, sadness, happiness, obviousness, doubt and irony. The main research question is whether the role of intonation and voice quality is equally important in the perception of studied affective states or whether one of them may be privileged. Six affective states were tested on utterances with natural lexical meaning. The transplantation paradigm was used in designing audio stimuli. Perception results show that each studied affective state has its own usage of prosody and voice quality. Some differences were found in the identification of emotions and attitudes. New questions risen from the present study and further directions of work are presented. Index Terms: affective prosody, voice quality, perception, speech synthesis
Technological Forecasting & Social Change Scenario building : Uses and abuses

⁎ Corresponding author. Tel. : +33 6 32 33 62 70. E-mail address: philippe.durance@cnam.fr (P. Dur 1 Since the early 1980s, the term scenario has been c 2 Herman Kahn (1922–1983), was a physicist and m he co-directed the United States Air Force projects whi a global nuclear war. In 1961, Herman Kahn founded th one of the founders of futures studies, and contributed b The scenario methodwas described in two books; The y the seventies and eighties (1972). The Hudson Institute 3 For more information on the history of the French Future Thinking between Europe and the USA” in this
An Active Damping Method Using Inductor-Current Feedback Control for High-Power PWM Current-Source Rectifier

Due to the inductor-capacitor filter, a pulse width modulation current-source rectifier (CSR) may experience LC resonance. A smaller ratio between the switching frequency and the resonant frequency of the CSR presents a challenge in designing active resonance damping methods in high-power applications. In this paper, different feedback states of filter inductor current and capacitor voltage are investigated to damp out the LC resonances. Besides proportional capacitor-voltage feedback (CVF), the derivative inductor-current feedback (ICF) provides an alternative approach for active damping and is comprehensively analyzed. Compared with the virtual-resistance (VR)-based active damping strategy, controller design is simpler in this method. Furthermore, the active damping method is able to damp the resonance under short-circuited dc-link conditions. The ICF-based active damping strategy works well for CSRs with low switching frequencies. Simulation and experimental results verify the feasibility and validity of the method.
An Optimising Compiler for a Modern Functional Language

One of the factors hindering the use of functional languages has been their relatively poor performance in comparison to more traditional languages such as C and Pascal. During the last decade tremendous progress has been made in building implementations of functional languages but the approaches adopted have employed specialist hardware andlor compiler optimisations that have been developed specifically for functional languages. Building specialist hardware may be the best long-term solution but in the short run it is possible to increase the use and acceptance of functional languages by exploiting the performance of commercially available machines. The goal of the project described in this paper has been to design an optimising compiler that produces fast code for functional languages on conventional sequential and parallel machines.
Reordering and Local Rerouting Strategies to Manage Train Traffic in Real Time

Traffic controllers regulate railway traffic by sequencing train movements and setting routes with the aim of ensuring smooth train behaviour and limiting, as much as possible, train delays. In this paper, we describe the implementation of a real-time traffic management system, called ROMA (Railway traffic Optimization by Means of Alternative graphs), to support controllers in the everyday task of managing disturbances. We make use of a branch-and-bound algorithm for sequencing train movements, while a local search algorithm is developed for rerouting optimization purposes. The compound problem of routing and sequencing trains is approached iteratively, computing an optimal train sequencing for given train routes and then improving this solution by locally rerouting some trains. An extensive computational study is carried out, based on a dispatching area of the Dutch railway network. We study practical size instances, and include in the model important operational constraints, including rolling stock and passenger connections. Different types of disturbances are analysed, including train delays and blocked tracks. Comparison with common dispatching practice shows the high potential of the system as an effective support tool to improve punctuality.
FATIGUE RESISTANCE OF DENSE BITUMEN MACADAM: THE EFFECT OF MIXTURE VARIABLES AND TEMPERATURE

Better compaction achieved at little or no extra cost has been shown to improve the performance of dense bitumen macadam. In the present work economically attractive coated macadams of low binder content are shown to have a reduced fatigue resistance but this may be offset by extra compaction. Samples of material containing 40 mm maximum size aggregate and 100 pen bitumen were cut from experimental pavements laid in a pilot-scale test facility and were loaded in direct sinusoidal tension and compression until fracture. Although fatigue life is shown to be greater at higher test temperatures for a particular strain level this effect is far outweighed by the associated reduction in stiffness. The effect of the type of aggregate in the mixture on its fatigue resistance is small compared with that of the other factors studied. An equation relating laboratory fatigue life, binder content, compaction level and test temperature was developed using a standard multiple regression technique. Other aspects of the role of bituminous materials in determining pavement performance require evaluation before roadbases of low binder content can be introduced with confidence. A wider programme of research is therefore being carried out to study other properties related to structural performance. /Author/TRRL/
Association between P16INK4a Promoter Methylation and HNSCC: A Meta-Analysis of 21 Published Studies

Background The p16INK4a is an important tumor suppressor gene (TSG) and aberrant methylation of promoter is known to be a major inactivation mechanism of the tumor suppressor and tumor-related genes. Aberrant TSG methylation was considered an important epigenetic silencing mechanism in the progression of head and neck squamous cell carcinoma (HNSCC). However, some studies have reported differences in the methylation frequencies of P16INK4a promoter between cancer and the corresponding control group. Therefore, we conducted a meta-analysis to better identify the association. Methods PubMed, Ovid, ISI Web of Science, and EMBASE were searched to identify eligible studies to evaluate the association of p16INK4a promoter methylation and HNSCC. Odds ratio (ORs) and 95% confidence intervals (95%CI) were calculated to evaluate the strength of association between p16INK4a promoter methylation and HNSCC. Results A total of twenty-one studies with 1155 cases and 1017 controls were included in the meta-analysis. The frequencies of p16INK4a promoter methylation in the cancer group were significantly higher than those in the control group (cancer group: median: 46.67%, range = 7.84%-95.12%; control group: median: 18.37%, range = 0–83.33%; respectively). The pooled odds ratio was 3.37 (95%CI = 2.32–4.90) in the cancer group versus the corresponding control group under the random-effects model. Conclusion This meta-analysis of 21 published studies identified that aberrant methylation of p16INK4a promoter was found to be significantly associated with HNSCC.
Contemporary machine learning: a guide for practitioners in the physical sciences

Machine learning is finding increasingly broad application in the physical sciences. This most often involves building a model relationship between a dependent, measurable output and an associated set of controllable, but complicated, independent inputs. We present a tutorial on current techniques in machine learning -- a jumping-off point for interested researchers to advance their work. We focus on deep neural networks with an emphasis on demystifying deep learning. We begin with background ideas in machine learning and some example applications from current research in plasma physics. We discuss supervised learning techniques for modeling complicated functions, beginning with familiar regression schemes, then advancing to more sophisticated deep learning methods. We also address unsupervised learning and techniques for reducing the dimensionality of input spaces. Along the way, we describe methods for practitioners to help ensure that their models generalize from their training data to as-yet-unseen test data. We describe classes of tasks -- predicting scalars, handling images, fitting time-series -- and prepare the reader to choose an appropriate technique. We finally point out some limitations to modern machine learning and speculate on some ways that practitioners from the physical sciences may be particularly suited to help.
The active immunoglobulin kappa chain gene is packaged by non-ubiquitin-conjugated nucleosomes.

To elucidate the molecular features of active chromatin, we have mapped, by two-dimensional electrophoresis, the protein composition of nucleosomes that package the immunoglobulin kappa chain gene of mouse plasmacytoma cells. Nucleoprotein particles that possess the active kappa chain gene comigrate with bulk mononucleosomes that contain high mobility group proteins HMG-14 or -17 but lack histone H1. High electrophoretic resolution of the underlying core particles, after removal of ubiquitin by isopeptidase treatment, reveals that these nucleosomes are nonubiquitinated, even though they coincidently migrate with bulk ubiquitinated particles. This distinctive electrophoretic behavior may be correlated with the presence of histone H2A.X. Nucleosomes exhibiting these unusual properties appear to span at least 10 kilobases, in both transcribed and nontranscribed regions, suggesting that mechanisms independent of transcription exist to initiate, maintain, and propagate a common chromatin phenotype over long distances along the kappa chain locus.
Ef fi cacy of dehydroepiandrosterone to overcome the effect of ovarian ageing ( DITTO ) : a proof of principle randomised controlled trial protocol

Correspondence to Dr Kannamannadiar Jayaprakasan; k.jayaprakasan@nottingham. ac.uk ABSTRACT Introduction: Dehydroepiandrosterone (DHEA) has been proposed to improve pregnancy rates in women with diminished ovarian reserve undergoing in vitro fertilisation (IVF) treatment. However, evidence regarding its efficacy is supported by a limited number of randomised controlled trials (RCTs). This doubleblinded RCT aims to measure the effect of DHEA supplementation prior to and during controlled ovarian hyperstimulation on ovarian response prior to IVF treatment in women predicted to have poor ovarian reserve. Methods and analysis: Sixty women with ovarian antral follicle count ≤10 and serum anti-Mullerian hormone ≤5 pmol/L undergoing IVF/intracytoplasmic sperm injection (ICSI) treatment at the Nurture fertility clinic, Nottingham will be recruited. They will be randomised to either receive DHEA capsule 75 mg/day or placebo for at least 12 weeks before egg collection. All participants will undergo standard long down regulation protocol using human menopausal gonadotropin 300 IU/day. Serum samples and follicular fluids at the time of egg collection will be collected for hormonal immunoassays. For ICSI participants, cumulus cells stripped from oocyte will be collected for cumulus gene expression analyses regarding oocyte competence. Microdrops of oocyte culture media before the time of ICSI will be assessed for glucose, pyruvate and lactate utilisation. Embryo transfer will be performed on day 2, 3 or 5 based on the number and quality of the embryos available. Pregnancy will be defined as urine pregnancy test positive (biochemical pregnancy) and 6–8 weeks ultrasound scan with fetal heart beat (clinical pregnancy) and live birth. It is planned to perform the molecular and nutritional fingerprint analyses in batches after finishing the clinical phase of the study. Ethics and dissemination: The approval of the study was granted by the NHS Research Ethics Committee (Ref number NRES 12/EM/0002), the Medicines and Healthcare products Regulatory Agency (MHRA), and the Nottingham University Hospitals Trust Research and Development department. All participants shall provide written informed consent before being randomised into allocated treatment groups. Trial registration number: Protocol V.2. 0; EudraCT number: 2011-002425-21; http://www.clinicaltrials. gov; NCT01572025; CTA reference: 03057/0053/001-0002
Tumor budding cells, cancer stem cells and epithelial-mesenchymal transition-type cells in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with a 5-year survival rate of less than 5%. Moreover, PDAC escapes early detection and resists treatment. Multiple combinations of genetic alterations are known to occur in PDAC including mutational activation of KRAS, inactivation of p16/CDKN2A and SMAD4 (DPC4) and dysregulation of PTEN/PI3K/AKT signaling. Through their interaction with Wingless-INT pathway, the downstream molecules of these pathways have been implicated in the promotion of epithelial–mesenchymal transition (EMT). Emerging evidence has demonstrated that cancer stem cells (CSCs), small populations of which have been identified in PDAC, and EMT-type cells play critical roles in drug resistance, invasion, and metastasis in pancreatic cancer. EMT may be histologically represented by the presence of tumor budding which is described as the occurrence of single tumor cells or small clusters (<5) of dedifferentiated cells at the invasive front of gastrointestinal (including colorectal, oesophageal, gastric, and ampullary) carcinomas and is linked to poor prognosis. Tumor budding has recently been shown to occur frequently in PDAC and to be associated with adverse clinicopathological features and decreased disease-free and overall survival. The aim of this review is to present a short overview on the morphological and molecular aspects that underline the relationship between tumor budding cells, CSCs, and EMT-type cells in PDAC.
In vivo study of scleroderma by non‐invasive techniques

Sixteen patients with localized scleroderma (LS) and 11 with progressive systemic sclerosis (PSS) were studied using non‐invasive techniques to determine skin thickness, skin extensibility, transcutaneous PO2 and cutaneous blood flow and were compared with normal controls. LS was characterized by a decreased skin extensibility with thickening of the skin in progressive lesions. There was an increase in the cutaneous microcirculation with a decrease in the PO2. In PSS, there was a decrease in the skin extensibility caused by thickening of the skin, but no change in cutaneous microcirculation or PO2 values. These results indicate that skin thickness and extensibility are the most useful parameters in the study of the progression of LS and PSS.
Prospects for prophylactic and therapeutic vaccines against the hepatitis C viruses

Summary: Encouraging efficacy data have been obtained in the hepatitis C virus (HCV) chimpanzee model using prophylactic vaccines comprising adjuvanted recombinant envelope gpE1/gpE2 glycoproteins or prime/boost immunization regimens using defective adenoviruses and plasmid DNA expressing non‐structural genes. While usually not resulting in sterilizing immunity after experimental challenge, the progression to chronic, persistent infection (which is responsible for HCV‐associated pathogenicity in human) is inhibited. These and other vaccine candidates are in clinical development for both prophylactic as well as possible therapeutic applications. Given that other vaccines tested in the chimpanzee model may be possibly increasing the rate of chronicity, it is very important that this model continues to be available and used prior to initiation of clinical development. Several vaccine monotherapy trials in chronically infected HCV patients are resulting in small declines in viral load, suggesting that in future, combining vaccination with antiviral drug treatment may be beneficial.