Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of Plasma Curcuminoids from Dietary Intake of Turmeric‐Containing Food in Human Volunteers

SCOPE Curcumin (from turmeric), has been extensively investigated for potential beneficial properties in numerous diseases. Most work has focused on supra-dietary concentrations/doses that would necessitate curcumin supplementation. However, much evidence instigating curcumin research is underpinned by epidemiological data based on low dietary intake via turmeric consumption. METHODS AND RESULTS Here, a novel, highly sensitive liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS/MS) method for detection of curcuminoids is described. Assay sensitivity is demonstrated in a pilot pharmacokinetic volunteer study following ingestion of foodstuffs containing a standardized mass of turmeric, representative of daily consumption by certain South Asian populations. Free parent curcumin was detectable in plasma from one individual, reaching maximal plasma concentrations (Cmax ) of 3.2 nm. Curcumin conjugates were detected in all volunteers; Cmax for curcumin glucuronide is 47.6 ± 28.5 nm 30 min post-food, while Cmax for demethoxycurcumin glucuronide and curcumin sulfate is ≈2 nm. Curcumin and its major metabolites persist in plasma for at least 8 h. CONCLUSION Despite poor absorption and rapid conjugation, dietary intake of standard culinary turmeric within complex food matrices furnished human plasma with detectable levels of curcuminoids. Whether sustained low systemic concentrations of these non-nutritive, biologically active, dietary components may have pharmacological activity for human health benefit, warrants further research.
A Fast and Robust Non-Sparse Signal Recovery Algorithm for Wearable ECG Telemonitoring Using ADMM-Based Block Sparse Bayesian Learning

Wearable telemonitoring of electrocardiogram (ECG) based on wireless body Area networks (WBAN) is a promising approach in next-generation patient-centric telecardiology solutions. In order to guarantee long-term effective operation of monitoring systems, the power consumption of the sensors must be strictly limited. Compressed sensing (CS) is an effective method to alleviate this problem. However, ECG signals in WBAN are usually non-sparse, and most traditional compressed sensing recovery algorithms have difficulty recovering non-sparse signals. In this paper, we proposed a fast and robust non-sparse signal recovery algorithm for wearable ECG telemonitoring. In the proposed algorithm, the alternating direction method of multipliers (ADMM) is used to accelerate the speed of block sparse Bayesian learning (BSBL) framework. We used the famous MIT-BIH Arrhythmia Database, MIT-BIH Long-Term ECG Database and ECG datasets collected in our practical wearable ECG telemonitoring system to verify the performance of the proposed algorithm. The experimental results show that the proposed algorithm can directly recover ECG signals with a satisfactory accuracy in a time domain without a dictionary matrix. Due to acceleration by ADMM, the proposed algorithm has a fast speed, and also it is robust for different ECG datasets. These results suggest that the proposed algorithm is very promising for wearable ECG telemonitoring.
QoE-Aware Video Storage Power Management Based on Hot and Cold Data Classification

Dynamically adaptive streaming over HTTP (DASH), the most common streaming technique, requires a video server to store all the transcoded versions, resulting in a lot of storage space, thereby consuming a significant disk power. A disk array can be divided into hot and cold zones to allow cold disks to be spun down, but this poses several questions such as (1) which video segments can be stored on the hot disks, (2) how to allocate video segments among the hot disks, and (3) how to handle requests to the cold disks. To address this, we propose three new algorithms; (1) a hot data classification algorithm to determine which segments should be stored on the hot disks, by taking segment popularity and quality-of-experience (QoE) into account, (2) a video segment allocation algorithm to balance workloads among the hot disks, and (3) a disk bandwidth allocation algorithm which determines the bit-rate of each segment with the aim of maximizing overall QoE. Experimental results show that our scheme can reduce the power consumption between 29% and 46% compared with the method of storing all the transcoded versions at the cost of 1.5% QoE degradation.
Twits, Twats and Twaddle: Trends in Online Abuse towards UK Politicians

Concerns have reached the mainstream about how social media are affecting political outcomes. One trajectory for this is the exposure of politicians to online abuse. In this paper we use 1.4 million tweets from the months before the 2015 and 2017 UK general elections to explore the abuse directed at politicians. Results show that abuse increased substantially in 2017 compared with 2015. Abusive tweets show a strong relationship with total tweets received, indicating for the most part impersonality, but a second pathway targets less prominent individuals, suggesting different kinds of abuse. Accounts that send abuse are more likely to be throwaway. Economy and immigration were major foci of abusive tweets in 2015, whereas terrorism came to the fore in 2017.
Pregnancy complications following fertility treatment-disentangling the role of multiple gestation.

Background To assess the extent to which multiple gestations mediate risk of pregnancy complications from fertility treatment and to address possible confounding by the underlying infertility. Methods From the nearly 1.8 million pregnancies recorded in the Swedish Medical Birth Register between 1996 and 2013, we selected the 9.9% (N = 174 067) that occurred to couples with known trouble conceiving (clinical infertility). Fertility treatment was identified from self-reports, medical records and procedural information from fertility clinics. We used logistic regression to estimate odds ratios (ORs) and their 95% confidence intervals (CIs), and decomposed the total effect into direct and mediated effects to estimate the proportion mediated by multiple gestations. Results Compared with pregnancies achieved without any assistance, those having received some treatment had higher odds of all studied complications except gestational diabetes. Associations with placenta previa (OR 2.17, 95% CI 1.95-2.40) and placental abruption (OR 1.77, 95% CI 1.54-2.03) were almost entirely independent of multiple gestations. In contrast, the majority of the associations with preterm birth (OR 1.69, 95% CI 1.62-1.77), caesarean delivery (RR 1.15, 95% CI 1.13-1.17) and pre-eclampsia (OR 1.17, 95% CI 1.11-1.22) were mediated by multiple gestations (87%, 62% and 91% of the effect mediated, respectively). Both direct and mediated pathways contributed to the remaining positive associations with chorioamnionitis, labour induction and postpartum haemorrhage. Results were similar when considering primi- and multi-parous women separately, and after restriction to assisted reproductive technologies only. Conclusion Multiple gestations are responsible for a large proportion of pregnancy complications associated with fertility treatment, suggesting that interventions to restrict the occurrence of multiples could reduce excess risk of pre-eclampsia, preterm birth and caesarean delivery after fertility treatment. However, the elevated risk of serious placental complications after fertility treatment appears to be largely independent of multiple gestations.
Profiles of Volatile Compounds in Blackcurrant (Ribes nigrum) Cultivars with a Special Focus on the Influence of Growth Latitude and Weather Conditions

The volatile profiles of three blackcurrant (Ribes nigrum L.) cultivars grown in Finland and their responses to growth latitude and weather conditions were studied over an 8 year period by headspace solid-phase microextraction (HS-SPME) followed by gas-chromatographic–mass-spectrometric (GC-MS) analysis. Monoterpene hydrocarbons and oxygenated monoterpenes were the major classes of volatiles. The cultivar ‘Melalahti’ presented lower contents of volatiles compared with ‘Ola’ and ‘Mortti’, which showed very similar compositions. Higher contents of volatiles were found in berries cultivated at the higher latitude (66° 34′ N) than in those from the southern location (60° 23′ N). Among the meteorological variables, radiation and temperature during the last month before harvest were negatively linked with the volatile content. Storage time had a negative impact on the amount of blackcurrant volatiles.
Effect of Polyhexamethylene Biguanide Solution on Bacterial Load and Biofilm in Venous Leg Ulcers: A Randomized Controlled Trial

PURPOSE: The purpose of this study was to investigate the effect of polyhexamethylene biguanide (PHMB) solution as a wound cleanser on bacterial load and bacterial biofilm in venous leg ulcers. DESIGN: Randomized controlled trial. SUBJECTS AND SETTING: The target population was adults attending the dermatology outpatient clinic of the Clinical Hospital of the Federal University of Minas Gerais, Brazil. The sample comprised 44 patients with venous leg ulcers recruited over a 6-month period. METHODS: Participants were divided into 2 groups: the intervention group had their wounds cleansed with PHMB, and the control group had their wound cleansed with a 0.9% saline solution. Tissue fragments of the wounds were collected for bacteriological analysis; transmission electron microscopy was used to identify the presence of biofilm. RESULTS: The bacterial load was reduced in both groups compared to baseline values; no significant difference was found when groups were compared. Correlation analysis between wound duration (months), wound area (cm²), necrosis (%), variables, and bacterial count (colony forming units [CFUs]/g) after cleansing showed a significant relationship between area of the wound and CFUs/g (P = .0070, r = 0.51). Transmission electron microscopy revealed the presence of bacterial biofilm in the wounds after cleansing with both solutions. CONCLUSIONS: The results of this study indicate that both PHMB and saline solution are effective in reducing the bacterial load in venous leg ulcers. However, bacterial biofilm was present after cleansing with both solutions. These findings provide important evidence regarding effectiveness of 2 common wound cleansers on bacterial presence in wounds.
The Cyanobacterial Ribosomal-Associated Protein LrtA from Synechocystis sp. PCC 6803 Is an Oligomeric Protein in Solution with Chameleonic Sequence Properties

The LrtA protein of Synechocystis sp. PCC 6803 intervenes in cyanobacterial post-stress survival and in stabilizing 70S ribosomal particles. It belongs to the hibernating promoting factor (HPF) family of proteins, involved in protein synthesis. In this work, we studied the conformational preferences and stability of isolated LrtA in solution. At physiological conditions, as shown by hydrodynamic techniques, LrtA was involved in a self-association equilibrium. As indicated by Nuclear Magnetic Resonance (NMR), circular dichroism (CD) and fluorescence, the protein acquired a folded, native-like conformation between pH 6.0 and 9.0. However, that conformation was not very stable, as suggested by thermal and chemical denaturations followed by CD and fluorescence. Theoretical studies of its highly-charged sequence suggest that LrtA had a Janus sequence, with a context-dependent fold. Our modelling and molecular dynamics (MD) simulations indicate that the protein adopted the same fold observed in other members of the HPF family (β-α-β-β-β-α) at its N-terminal region (residues 1–100), whereas the C terminus (residues 100–197) appeared disordered and collapsed, supporting the overall percentage of overall secondary structure obtained by CD deconvolution. Then, LrtA has a chameleonic sequence and it is the first member of the HPF family involved in a self-association equilibrium, when isolated in solution.
Prediction model for students' future development by deep learning and tensorflow artificial intelligence engine

Classification and prediction of students' performance in examination are the typical challenges for educators. Various traditional data mining methods such as decision tree and association rules were used to perform classification. In recent years, the rapid development of artificial intelligence and deep learning algorithm provided another approach for intelligent classification and result prediction. In this paper, a research on how to use Tensorflow artificial intelligence engine for classifying students' performance and forecasting their future universities degree program is studied. An appropriate and accurate forecast is important for providing prompt advice to student on program and university selection. For a more comprehensive consideration of an all rounded factors, the deep learning model analysed not only the traditional academic performance including Mathematic, Chinese, English, Physics, Chemistry, Biology and History, but also non-academic performance such as service, Conduct, Sport and Art. A few parameters in Tensorflow engine including the number of intermediate nodes and number of deep learning layers are adjusted and compared. With a data set of two thousands students, 75% of these data are used as the training data and 25% are used as the testing data, the accuracy ranged from 80% to 91%. The optimal configuration of the Tensorflow deep learning model that achieves highest prediction accuracy is determined. This study determined the factors affecting the accuracy of the prediction model.
An Audiovisual Corpus of Guided Tours in Cultural Sites: Data Collection protocols in the CHROME Project

Creating interfaces for cultural heritage access is considered a fundamental research field because of the many beneficial effects it has on society. In this era of significant advances towards natural interaction with machines and deeper understanding of social communication nuances, it is important to investigate the communicative strategies human experts adopt when delivering contents to the visitors of cultural sites, as this allows the creation of a strong theoretical background for the development of efficient conversational agents. In this work, we present the data collection and annotation protocols adopted for the ongoing creation of the reference material to be used in the Cultural Heritage Resources Orienting Multimodal Experiences (CHROME) project to accomplish that goal.
Potential use of soilborne lytic Podoviridae phage as a biocontrol agent against Ralstonia solanacearum

A new podovirus RsPod1EGY Ralstonia phage (GenBank accession no MG711516) with a specific action against R. solanacearum phylotype IIa, sequevar I (race 3, biovar 2) was isolated from Egyptian soil. The potential efficacy of the isolated phage to be used as biocontrol agent was evaluated in vitro and under greenhouse conditions. The podovirus phage produced a plaque size of 3.0–4.0 mm in diameter and completed its infection cycle in 180 min after infection with a burst size of ∼27 virions per infected cell. On the basis of restriction endonuclease analysis, the genome size of the phage was about 41 kb of double‐stranded DNA. In vitro studies showed that RsPod1EGY is stable at higher temperatures (up to 60 °C), and at a wide pH range (5–9). SDS–PAGE analysis indicated the major structural protein to be approximately 32 kDa. Bacteriolytic activity of RsPod1EGY against R. solanacearum was detected at different multiplicity of infection (MOI). RsPod1EGY proved to be effective in reduction and prevention of formation of surface polysaccharides of R. solanacearum, during the exponential growth phase of the latter. Interestingly, RsPod1EGY was effective in suppression of R. solanacearum under greenhouse conditions. All Phage‐treated tomato plants showed no wilt symptoms or any latent infection during the experimental period, whereas all untreated plants have wilted by 10 days post‐infection. The lytic stability of RsPod1EGY phage at higher temperature as well as its effective suppression of wilting symptoms under greenhouse conditions would contribute to biocontrol the bacterial wilt disease in Egypt under field conditions.
"A Game Without Competition Is Hardly a Game": The Impact of Competitions on Player Activity in a Human Computation Game"

Virtual citizen science (VCS) projects enable new forms of scientific research using crowdsourcing and human computation to gather and analyse large-scale datasets. To attract and sustain the number of participants and levels of participation necessary to achieve research aims, some VCS projects have introduced game elements such as competitions to tasks. However, we still know very little about how some game elements, particularly competitions, influence participation rates. To investigate the impact of game elements on player engagement, we conducted a two-part mixed-methods study of EyeWire, a VCS game. First, we interviewed EyeWire designers to understand their rationale for introducing competitions. Guided by their answers, we analysed two datasets of EyeWire user task contributions and chat logs to assess the effectiveness of competitions in achieving designers' goals. Our findings contribute to the growing understanding of how competitions influence participant activity in human computation initiatives and socio-technical systems such as VCS.
Binge Drinking and Intergenerational Implications: Parental Preconception Alcohol Impacts Offspring Development in Rats

Abstract Preconception behaviors and experiences of mothers and fathers can affect future offspring. Recently, our laboratory showed that alcohol-naive offspring of parents who were exposed to repeated binge alcohol during adolescence showed altered DNA methylation patterns in the hypothalamus, a brain region involved in regulation of pubertal development, stress, and behavior. These observations have potentially far-reaching consequences for human health, as more than 4.6 million Americans under the age of 21 years report engaging in the rapid intoxication behavior of binge-pattern alcohol (EtOH) drinking. Therefore, we tested the hypothesis that offspring of binge EtOH‒exposed parents would have altered hypothalamic function manifested phenotypically as improper pubertal development, impaired socialization, and dysregulated stress response. In addition, we tested the hypothesis that parental EtOH exposure would confer adaptive protection from the negative effects of EtOH when offspring were themselves exposed to EtOH. Rats received EtOH via oral gavage once daily for 6 days at both early [postnatal day (PND) 37] and late puberty (PND 67). Animals were paired (EtOH-EtOH, vehicle-vehicle) for mating 24 hours after the last EtOH dose. After weaning, offspring were randomized to vehicle treatment to assess changes in normal development or to EtOH treatment to assess the effect of parental EtOH exposure on offspring response to this treatment. We found that offspring had smaller body weights and displayed fewer play behaviors when parents had been exposed to EtOH before conception. In addition, offspring showed a reduction in pubertal development markers that could indicate that parental preconception EtOH exposure confers maladaptive epigenetic traits in first-generation offspring.
Approximate optimization for facility location on two-dimensional internetwork topology

Facility location is one of the important issues in the operations research, which has been studied in a wide field. We present an extended facility location issue built on particular two-dimensional internetwork topology. Compared with the classical facility location problem, the extended facility location issue has two extra constraints, which is more difficult to be solved directly. By exploiting the embedding scheme, an efficient approximate optimization approach of the proposed issue is developed. Furthermore, the approximation factor of the extended issue has been ingeniously analyzed.
Social media used as a health intervention in adolescent health: A systematic review of the literature

Objective Adolescents are known to be high users of social media, and social media is beginning to be used in health care. The primary objective of this review was to determine the current state of play on the use of social media as a health intervention in addressing the health of adolescents. Methods Six databases were searched: CINAHL, Medline, Scopus, ProQuest, Psych Info and Science Direct, from 2000–2013. The review process followed PRISMA guidelines with quality assessments of the selected articles undertaken. Results Three studies used social media as a health intervention in adolescent health. Facebook was the social media of choice. The way this social media tool was incorporated as the intervention varied. None of the social media interventions had a significant or sustained impact on the primary outcomes of the studies reviewed. Measures of social media process were limited and lacked meaning. Conclusions The selected papers provided insight into the beginning phase of using social media as a health intervention to address adolescent health. The review highlights three important areas for consideration when undertaking research on the use of social media as a health intervention for adolescents: the newness of using social media as a health intervention, the importance of the use of rigorous methodological processes when using social media as a health intervention, and the need to develop further knowledge on adolescents’ use of social media, in particular their hidden world of social media.
Inherited Cardiomyopathies and the Role of Mutations in Non-coding Regions of the Genome

Cardiomyopathies (CMs) are a group of cardiac pathologies caused by an intrinsic defect within the myocardium. The relative contribution of genetic mutations in the pathogenesis of certain CMs, such as hypertrophic cardiomyopathy (HCM), arrythmogenic right/left ventricular cardiomyopathy (ARVC) and left ventricular non-compacted cardiomyopathy (LVNC) has been established in comparison to dilated cardiomyopathy (DCM) and restrictive cardiomyopathy (RCM). The aim of this article is to review mutations in the non-coding parts of the genome, namely, microRNA, promoter elements, enhancer/silencer elements, 3′/5′UTRs and introns, that are involved in the pathogenesis CMs. Additionally, we will explore the role of some long non-coding RNAs in the pathogenesis of CMs.
Neutrophil to Lymphocyte Ratio as a Predictor of Restenosis After Angioplasty and Stenting for Asymptomatic Carotid Stenosis

The inflammatory response plays a vital role in the development of in-stent restenosis (ISR) after carotid angioplasty and stenting (CAS). The neutrophil to lymphocyte ratio (NLR) has been suggested as a sensitive inflammatory marker. We explored the association between NLR and ISR in CAS patients. A total of 427 patients who underwent CAS were enrolled. Neutrophil to lymphocyte ratio was measured before the procedure. Clinical examination and radiographic evaluation were performed at 6 months and annually after the procedure. In-stent restenosis was defined as ≥50% stenosis in the treated lesion. Cox regression was used to identify predictors of ISR after CAS. Of the 459 arteries (in 427 patients) with CAS, 72 (15.7%) were identified with ISR during a mean follow-up of 14.6 (19.1) months (range, 0.7-120.7 months). Increased NLR (≥2.13) was significantly related to ISR in patients with asymptomatic stenosis (P = .001). However, significance was not observed in symptomatic stenosis. On multivariate analysis, baseline NLR ≥ 2.13 (hazard ratio [HR], 2.74; 95% confidence interval [CI], 1.46-5.14), smoking (HR, 1.99; 95% CI, 1.11-3.58), residual stenosis (HR, 1.12; 95% CI, 1.09-1.15), and baseline glucose level (HR, 1.01; 95% CI, 1.01-1.02) were associated with ISR. Elevated NLR may be a predictor of ISR after CAS for asymptomatic stenosis.