Miracle-dz/UniFAR-FTUs huggingface dataset:
A literature review: IT governance guidelines and areas

Lack of business/IT (BIT) alignment affects e-governance initiatives success. Information Technology Governance (ITG) has been recognized as a CIO top-10 issue for more than five years and has risen in priority between 2007 and 2009. Several Frameworks exist to help organizations in ITG implementation but lack scientific viewpoint, are complex, and also overlap each other. In this paper we make a literature review to leverage the ITG general guidelines and main ITG areas in order to provide a scientific viewpoint validation. We also evaluate our artefacts with expert's interviews in order to provide practitioner viewpoint validation, and map our artifact with current theories. Finally, we conclude our research with main contributions and future work.
Lung recruitment: the combined effect of pressures "North" and "South" of the diaphragm.

1985 Optimal management of the acute respiratory distress syndrome (ARDS) with mechanical ventilation is still highly controversial (1). If improperly applied, mechanical ventilation can cause secondary lung injury by delivering an additional “hit” to the lungs known as ventilatorinduced lung injury (VILI) (2). Currently there are two basic schools of thought for optimal ventilator management: “Collapse the sick and ventilate only the healthy lung” (3) and “Open the entire lung and keep it open” (4).
EAACI Food Allergy and Anaphylaxis Guidelines: diagnosis and management of food allergy

Food allergy can result in considerable morbidity, impact negatively on quality of life, and prove costly in terms of medical care. These guidelines have been prepared by the European Academy of Allergy and Clinical Immunology's (EAACI) Guidelines for Food Allergy and Anaphylaxis Group, building on previous EAACI position papers on adverse reaction to foods and three recent systematic reviews on the epidemiology, diagnosis, and management of food allergy, and provide evidence‐based recommendations for the diagnosis and management of food allergy. While the primary audience is allergists, this document is relevant for all other healthcare professionals, including primary care physicians, and pediatric and adult specialists, dieticians, pharmacists and paramedics. Our current understanding of the manifestations of food allergy, the role of diagnostic tests, and the effective management of patients of all ages with food allergy is presented. The acute management of non‐life‐threatening reactions is covered in these guidelines, but for guidance on the emergency management of anaphylaxis, readers are referred to the related EAACI Anaphylaxis Guidelines.
Stabilizing selection on sperm number revealed by artificial selection and experimental evolution

Sperm competition is taxonomically widespread in animals and is usually associated with large sperm production, being the number of sperm in the competing pool the prime predictor of fertilization success. Despite the strong postcopulatory selection acting directionally on sperm production, its genetic variance is often very high. This can be explained by trade‐offs between sperm production and traits associated with mate acquisition or survival, that may contribute to generate an overall stabilizing selection. To investigate this hypothesis, we first artificially selected male guppies (Poecilia reticulata) for high and low sperm production for three generations, while simultaneously removing sexual selection. Then, we interrupted artificial selection and restored sexual selection. Sperm production responded to divergent selection in one generation, and when we restored sexual selection, both high and low lines converged back to the mean sperm production of the original population within two generations, indicating that sperm number is subject to strong stabilizing total sexual selection (i.e., selection acting simultaneously on all traits associated with reproductive success). We discuss the possible mechanisms responsible for the maintenance of high genetic variability in sperm production despite strong selection acting on it.
Incremental Graph Embedding Based on Spatial-Spectral Neighbors for Hyperspectral Image Classification

Recently, graph embedding-based methods have been developed in dimensionality reduction (DR) and classification of hyperspectral image (HSI). The key step for graph embedding methods is the construction of graph. The commonly used method is to manually choose nearest neighbors and then, compute edge weights using the spectral feature. However, the adjacency graph is inappropriate due to the negligence of spatial information. What is more, the construction of graph only takes training samples or $k$ nearest neighbors into account, which may lead to unsuitable graph representation. In this paper, we propose a novel incremental graph embedding (IGE) algorithm to construct a spatial-spectral neighbor graph for the HSI classification. The IGE can spread the discrimination information contained in training samples to their neighbors until each testing sample has a pseudo label. The spatial affinity weights between unlabeled data points and their labeled neighbors are calculated according to the construction strategies of the spatial-spectral neighbor graph. The pseudo label of the unlabeled data point is determined based on the maximum spatial affinity weights. Moreover, three weight strategies are designed for those samples nearby the decision boundary to improve the separability of different classes. In addition, the window size of spatial neighbors is able to be adjusted adaptively according to whether labeled data points in spatial neighbors exit. Experimental results on two datasets, Indian Pine and Pavia University have demonstrated that our algorithm is remarkably superior to other conventional DR algorithms on improving classification performance.
Control of healthcare- and community-associated MRSA: recent progress and persisting challenges

Background Healthcare adapted meticillin-resistant Staphylococcus aureus (MRSA) has spread to hospitals around the world over 50 years. More recently, other strains of MRSA have emerged with the ability to spread in the community and infect otherwise healthy individuals. Morbidity and mortality associated with MRSA remains high and its control in both the healthcare and community setting has proven challenging. Sources of data Pubmed (Medline). Areas of agreement The use of targeted screening and decolonization, hand hygiene and antimicrobial stewardship is supported by the most robust studies, though many studies have implemented bundles for effective healthcare-associated (HA)-MRSA control. Areas of contention Universal screening, universal decolonization and contact precautions for HA-MRSA control are supported by less evidence. Some interventions may not be cost-effective. Contact precautions may be associated with potential for patient harm. Evidence for effective control community acquired (CA)-MRSA is largely lacking. Growing points Programmes that focus on implementing bundles of interventions aimed at targeting HA-MRSA are more likely to be effective, with an emphasis on hand hygiene as a key component. Control of CA-MRSA is likely to be more difficult to achieve and relies on prevalence, risk factors and community healthcare interactions on a broader scale. Areas timely for developing research Further research in the area of CA-MRSA in particular is required. Antimicrobial stewardship for both CA and HA-MRSA is promising, as is the role of whole genome sequencing in characterizing transmission. However, further work is required to assess their long-term roles in controlling MRSA. With many institutions applying widespread use of chlorhexidine washes, monitoring for chlorhexidine resistance is paramount to sustaining efforts at controlling MRSA.
The 18 kDa Translocator Protein, Microglia and Neuroinflammation

The 18 kDa translocator protein (TSPO), previously known as the peripheral benzodiazepine receptor, is expressed in the injured brain. It has become known as an imaging marker of “neuroinflammation” indicating active disease, and is best interpreted as a nondiagnostic biomarker and disease staging tool that refers to histopathology rather than disease etiology. The therapeutic potential of TSPO as a drug target is mostly based on the understanding that it is an outer mitochondrial membrane protein required for the translocation of cholesterol, which thus regulates the rate of steroid synthesis. This pivotal role together with the evolutionary conservation of TSPO has underpinned the belief that any loss or mutation of TSPO should be associated with significant physiological deficits or be outright incompatible with life. However, against prediction, full Tspo knockout mice are viable and across their lifespan do not show the phenotype expected if cholesterol transport and steroid synthesis were significantly impaired. Thus, the “translocation” function of TSPO remains to be better substantiated. Here, we discuss the literature before and after the introduction of the new nomenclature for TSPO and review some of the newer findings. In light of the controversy surrounding the function of TSPO, we emphasize the continued importance of identifying compounds with confirmed selectivity and suggest that TSPO expression is analyzed within specific disease contexts rather than merely equated with the reified concept of “neuroinflammation. ”
Computational models for predicting drug responses in cancer research

Abstract The computational prediction of drug responses based on the analysis of multiple types of genome-wide molecular data is vital for accomplishing the promise of precision medicine in oncology. This will benefit cancer patients by matching their tumor characteristics to the most effective therapy available. As larger and more diverse layers of patient-related data become available, further demands for new bioinformatics approaches and expertise will arise. This article reviews key strategies, resources and techniques for the prediction of drug sensitivity in cell lines and patient-derived samples. It discusses major advances and challenges associated with the different model development steps. This review highlights major trends in this area, and will assist researchers in the assessment of recent progress and in the selection of approaches to emerging applications in oncology.
Oridonin Confers Protection against Arsenic-Induced Toxicity through Activation of the Nrf2-Mediated Defensive Response

Background Groundwater contaminated with arsenic imposes a big challenge to human health worldwide. Using natural compounds to subvert the detrimental effects of arsenic represents an attractive strategy. The transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) is a critical regulator of the cellular antioxidant response and xenobiotic metabolism. Recently, activation of the Nrf2 signaling pathway has been reported to confer protection against arsenic-induced toxicity in a cell culture model. Objectives The goal of the present work was to identify a potent Nrf2 activator from plants as a chemopreventive compound and to demonstrate the efficacy of the compound in battling arsenic-induced toxicity. Results Oridonin activated the Nrf2 signaling pathway at a low subtoxic dose and was able to stabilize Nrf2 by blocking Nrf2 ubiquitination and degradation, leading to accumulation of the Nrf2 protein and activation of the Nrf2-dependent cytoprotective response. Pretreatment of UROtsa cells with 1.4 μM oridonin significantly enhanced the cellular redox capacity, reduced formation of reactive oxygen species (ROS), and improved cell survival after arsenic challenge. Conclusions We identified oridonin as representing a novel class of Nrf2 activators and illustrated the mechanism by which the Nrf2 pathway is activated. Furthermore, we demonstrated the feasibility of using natural compounds targeting Nrf2 as a therapeutic approach to protect humans from various environmental insults that may occur daily.
HPV Infection and Cancer.

Human papillomavirus is considered a sexually transmitted infection that can be passed on by skin, mouth, and genital contact. It is very common worldwide, and most people have been exposed and infected at some point in their lives. There is no treatment for the infection itself; in most cases, the body clears the virus on its own. However, there are vaccines available to prevent HPV infection (3 available worldwide; 1 currently used in the United States). In the United States, the HPV vaccine is currently recommended for all girls and women and all boys and men aged 9 to 26 years. Since the introduction of the HPV vaccine, the rates of infection have decreased in recent years.
Every Move You Make: Exploring Practical Issues in Smartphone Motion Sensor Fingerprinting and Countermeasures

Abstract The ability to track users’ activities across different websites and visits is a key tool in advertising and surveillance. The HTML5 DeviceMotion interface creates a new opportunity for such tracking via fingerprinting of smartphone motion sensors. We study the feasibility of carrying out such fingerprinting under real-world constraints and on a large scale. In particular, we collect measurements from several hundred users under realistic scenarios and show that the state-of-the-art techniques provide very low accuracy in these settings. We then improve fingerprinting accuracy by changing the classifier as well as incorporating auxiliary information. We also show how to perform fingerprinting in an open-world scenario where one must distinguish between known and previously unseen users. We next consider the problem of developing fingerprinting countermeasures; we evaluate the usability of a previously proposed obfuscation technique and a newly developed quantization technique via a large-scale user study. We find that both techniques are able to drastically reduce fingerprinting accuracy without significantly impacting the utility of the sensors in web applications.
Pre- and Postoperative Body Composition and Metabolic Characteristics in Patients with Acromegaly: A Prospective Study

Objective To investigate the preoperative body composition, metabolic characteristics, and postoperative changes in patients with active acromegaly and analyze the effects of gender and age. Methods We included 36 patients with untreated acromegaly and 37 patients with nonfunctional pituitary adenomas. Adipose tissue (AT), the visceral fat index (VFI), sclerotin, protein, skeletal muscle, total body water (TBW), intracellular water (ICW), and extracellular water (ECW) were measured using bioelectrical impedance analysis (BIA). Total energy expenditure (TEE) and basal metabolism (BM) were measured with a cardiopulmonary and metabolic analyzer (CMA). Tricep skinfold thickness (TST), bicep circumference, waistline, hipline, and calf circumference were measured with a skinfold caliper and tape. These indices were measured before surgery and 3 months and 1 year after surgery. Results Overall, AT, VFI, and TST were lower, whereas sclerotin, protein, skeletal muscle, TBW, ICW, ECW, TEE, and BM were higher in acromegaly patients. Postoperatively, TST rose initially and then decreased, the waistline increased, and sclerotin, skeletal muscle, TEE, and BM decreased. Changes in these indices differed with gender and age in unique patterns. Conclusions Body composition and metabolism in acromegaly patients changed after surgery, and gender and age influenced these changes.
Management of hepatitis C viral infection in chronic kidney disease patients on hemodialysis in the era of direct-acting antivirals

The advent of novel, direct-acting antiviral (DAA) regimens for hepatitis C virus (HCV) infection has revolutionized its treatment by producing a sustained virologic response of more than 95% with few side effects and no comorbidities in the general population. Until recently, ideal DAA regimens have not been available to patients with severe renal impairment and end-stage renal disease because there are limited data on the pharmacokinetics, safety, and efficacy of treatment in this unique population. In a hemodialysis context, identifying patients in need of treatment and preventing HCV transmission may also be a matter of concern. Recently published studies suggest that a combination of paritaprevir/ ritonavir/ombitasvir and dasabuvir, elbasvir/grazoprevir, or glecaprevir/pibrentasvir successfully treats HCV infection in chronic kidney disease stage 4 or 5 patients with or without hemodialysis.
Effect of electric fields on tin nanoparticles prepared by laser ablation in water

A pulsed laser beam from an excimer laser was used to ablate a solid tin target immersed in water in the presence of an external electric field. High fluence resulted in the formation of an overheated melt at the target surface resulting in homogeneous nucleation and phase explosion. The ablation products were studied with transmission electron microscopy. It was found that with no external field the size distribution of particles has peaks at ∼1 and ∼10 nm and that externally applied electric fields resulted in a decrease of particle size. A model based on Rayleigh instability and polarization effects was proposed to explain the observations. This work demonstrates a possible approach for controlling nanoparticle size.
Fast falsification based on symbolic bounded property checking

Symbolic property verification is an increasingly popular debugging method based on binary decision diagrams (BDDs). The lack of optimization of the state space search is often responsible for the excessive growth of the BDDs. In this paper, we present accelerated symbolic property verification by means of a new guiding technique that automatically finds the set of interesting variables by exploiting the property and the transition relation of a design. Our property based state space guiding can substantially speed up the verification process. The heuristic picks up the interesting state or the input variables automatically and utilizes them in guiding the state space traversal. This guiding approach is automatic, efficient and stable for fast falsification. Furthermore it does not degrade as much for full validation
Combination of Experiments and Continuum Damage Mechanics Approach for Prediction of Creep Fracture in an Advanced 9%Cr Steel

As candidate materials for high-temperature components, most attention has been paid to improving tempered martensitic creep-resistant 9-12%Cr steels. In this work, creep damage and fracture behaviour of an advanced W-modified P92 steel (ASTM Grade P92) was investigated at 600 and 650°C. Tensile creep tests were followed by fractographic analysis of crept and broken specimens. Besides experimental investigations, the creep damage tolerance parameter λ has been used to assess the creep fracture mode. In accordance with experiments the values of λ indicate variety in the fracture mode and provide some evidence on accelerated degradation of the creep strength. The SEM investigations of creep fracture surface revealed substantial changes in microfractographic features of creep fracture. At high applied stress level, the fracture was frequently transgranular due to local loss of a stability of plastic deformation. The fracture ductility drops with decreasing applied stress, demonstrating ductile dimple (transgranular) to brittle (intergranular cavitation) transition of the fracture mode. It was suggested that both the creep deformation and fracture processes are controlled by the same processes and the rate controlling mechanism is most probably climb of intergranular mobile dislocations.
Influence of Early Reproductive Success on Longevity and Late Reproductive Success in an Alpine Ungulate

The life-history theories of aging predict lifetime trade-offs between early reproductive allocation and late-life survival, reproduction, or both components of fitness. Recent studies in wild populations have found evidence for these early-late life trade-offs, but rarely have they been found across multiple traits while exploring the additional effects of variation in environmental conditions and individual quality. Benefiting from longitudinal data on adult female mountain goats (Oreamnos americanus), we investigated the influence of age at first reproduction (AFR) and early reproductive success (ERS) on longevity, late reproductive success, and senescence rates while accounting for the influence of natal environmental conditions and individual quality. Contrary to predictions, we did not find evidence for early-late life trade-offs. Instead, an earlier AFR and a greater ERS had positive but weak direct effects on late reproductive success. Natal population density, however, was the strongest determinant of all life-history traits, having a direct negative effect on female longevity, late reproductive success, AFR, and ERS. Although natal density reduced the probability of annual reproduction and annual survival during adulthood, higher allocation to reproduction in early life and poorer natal conditions did not lead to accelerated rates of senescence during adulthood. The results of this investigation provide an integrated picture of early-late life trade-offs, underscoring the importance of accounting for environmental conditions because of their potentially strong implications for population dynamics.
Co-occurrence ( regularization ) Evolution ( regularization ) Diagnosis ( main term ) Sparse ! Latent Feature Latent Feature = regularization regularization

Online users have generated a large amount of health-related data on medical forums and search engines. However, exploiting these rich data for orienting patient online and assisting medical checkup offline is nontrivial due to the sparseness of existing symptom-disease links, which caused by the natural and chatty expressions of symptoms. In this paper, we propose a novel and general representation learning method CONTEXTCARE for human generated health-related data, which learns latent relationship between symptoms and diseases from the symptom-disease diagnosis network for disease prediction, disease category prediction and disease clustering. To alleviate the network sparseness, CONTEXTCARE adopts regularizations from rich contextual information networks including a symptom co-occurrence network and a disease evolution network. Extensive experiments on medical forum data demonstrate that CONTEXTCARE outperforms the state-of-the-art methods in respects.
Reliable Content Dissemination in Internet of Vehicles Using Social Big Data

By analogy with internet of things (IoT), internet of vehicles (IoV) which enables ubiquitous information exchange and content sharing among vehicles with little or no human intervention is a key enabler for the intelligent transportation industry. In this paper, we study how to combine both the physical and social layer information to realize rapid content dissemination in device-to-device vehicle-to-vehicle (D2D-V2V)-based IoV networks under various quality of service (QoS) requirements. In the physical layer, headway distance of vehicles is modeled as a Wiener process, and the connection probability of D2D-V2V links is estimated by employing the Kolmogorov equation. In the social layer, the social relationship tightness that represents content selection similarities is derived by Bayesian nonparametric learning based on real-world social big data, which are collected from Sina Weibo and Youku. Then, a price-rising based iterative matching algorithm is proposed to solve the formulated joint peer discovery, power control, and channel selection problem. Finally, numerical results demonstrate the effectiveness and superiority of the proposed algorithm from the perspectives of weighted sum rate and matching satisfaction gains.