Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Autologous Platelet-Rich Plasma with Bone Dust versus Platelet-Rich Plasma Alone and Bone Dust Alone in a Rabbit Model

Introduction: When reconstructing bony defects created secondary to tumor excision or remodeling, there exists a need to increase the rate of bone graft acceptance and the degree of development. In our study we intend to show that platelet-rich plasma can be used in craniofacial defects to increase graft densities. Methods and Materials: Twenty-seven New Zealand white rabbits were used as specimens in which cranial osteotomies were performed to create a critical size defect that was then repaired with several combinations of substances. Either the bone dust from the defect, bone dust plus autologous platelet-rich plasma, or autologous plateletrich plasma alone was placed into the graft site. Each specimen was evaluated by DEXA Scan as well as histologic examination. Results: All 27 specimens survived and remained infection free. Thus, the results showed that the combination of platelet-rich plasma and bone dust allowed for superior bone mineral density and prevention of bone reabsorption.
Optimisation of Hollow Glass Fibres and their Composites

Hollow glass fibre reinforced plastics have a structural performance niche in a class of their own. They offer increased flexural rigidity compared to solid glass fibre reinforced plastics, they offset the need for thin sandwich construction which is both difficult and expensive, and they provide an opportunity to develop laminates with improved or tailored characteristics. An experimental hollow glass fibre manufacturing facility is in operation at the University of Bristol. The facility is capable of drawing precision hollow glass fibres of various diameters with varying degrees of hollowness under precise parameter control. Hollow borosilicate glass fibres have been manufactured from tubular preforms with a variety of internal and external diameters, which correspond to a range of hollowness values. In all cases, the resulting hollowness was reduced from that present in the preform state, regardless of drawing rate or furnace temperature. In fact, temperature has been demonstrated to be of paramount importance in controlling fibre hollowness due to the interaction between glass viscosity and surface tension effects. These results suggest that for a given temperature and draw rate there is a single condition where fibre hollowness is maximised and external diameter minimised.
A decision scheme based on adaptive morphological image processing for mobile detection of early stage diabetic retinopathy

Diabetic retinopathy is the main cause of vision loss among working-age adults around the world. Early detection and timely treatment are essential to reduce impairment and prevent blindness. In order to enable people to easily check their own conditions, we develop a decision support system for detecting diabetic retinopathy in early stage. The system extracts two important features, blood vessels and hard exudates, by using a combination of image processing techniques including black top hat, morphological opening and closing, canny edge detection, blob function, convert label matrix, convex-Hull method and color thresholding. In addition, an adaptive algorithm is proposed to cope with the variety of illuminations in different images. These extracted features are essential for estimating the risk of developing diabetic retinopathy. The system has been tested on 1379 images from DIARETDB0, DIARETDB1, and MESSIDOR databases. A qualified optometrist verified that our system achieved 92% and 90.3% accuracy for blood vessel and hard exudates extraction respectively. The system takes only 0.6 seconds to analyze one image, and therefore it is suitable for real-time implementation in mobile devices.
Diagnosing clear cell neuroendocrine tumors on cytological specimens: Report of two cases and brief literature review

Although many of the common manifestations of Von Hippel–Lindau (VHL) disease are relatively well known, there is one particular entity which is quite rare, but which appears to show a specific predilection for VHL patients. This entity is clear cell neuroendocrine tumor (NET). It is a difficult diagnosis to make due to its cytomorphologic similarities to other entities, such as metastatic clear cell renal cell carcinoma and paraganglioma, amongst others. These tumors, however, are characteristically positive for neuroendocrine markers such as synaptophysin and chromogranin, as well as cytokeratins. Emerging evidence also suggests that clear cell NETs in VHL patients are specifically positive for inhibin, when compared to their counterparts in non‐VHL patients, which may assist in the diagnosis in as yet undiagnosed patients with VHL disease. Herein, we present two cases of inhibin‐positive clear cell NETs, one in a VHL patient, and the other in a non‐VHL patient. These cases propose a potential warning to those relying on inhibin positivity to incite an expedition down a rabbit hole for a diagnosis of VHL. Diagn. Cytopathol. 2017;45:757–760. © 2017 Wiley Periodicals, Inc.
REED: Robust, Efficient Filtering and Event Detection in Sensor Networks

This paper presents a set of algorithms for efficiently evaluating join queries over static data tables in sensor networks. We describe and evaluate three algorithms that take advantage of distributed join techniques. Our algorithms are capable of running in limited amounts of RAM, can distribute the storage burden over groups of nodes, and are tolerant to dropped packets and node failures. REED is thus suitable for a wide range of event-detection applications that traditional sensor network database and data collection systems cannot be used to implement.
Medical documents processing for summary generation and keywords highlighting based on natural language processing and ontology graph descriptor approach

In this paper a new method of data retrieval from free text documents in medical domain is proposed. Presented approach gives the document summary and highlights important keywords in the text to support further analysis of multiple medical documents. The document is processed with natural language processing techniques to find medical keywords and assign them to concepts in the medical ontology. These concepts contribute to higher levels in the hierarchy and build the document descriptor as a graph with concepts in the nodes and corresponding relevance points. The descriptor is used to generate the summary in a form of tree. Finally, we highlight the most important keywords in the original text. Presented experiments demonstrate the proposed approach, which successfully summarizes and highlights meaningful medical information.
Real-world validation of the minimal disease activity index in psoriatic arthritis: an analysis from a prospective, observational, biological treatment registry

Objective To describe the minimal disease activity (MDA) rate over time in patients with psoriatic arthritis (PsA) receiving antitumour necrosis factor agents, evaluate prognostic factors of MDA achievement and identify the most common unmet criteria among MDA achievers. Design Biologic Treatment Registry Across Canada (BioTRAC): ongoing, prospective registry of patients initiating treatment for rheumatoid arthritis, ankylosing spondylitis or PsA with infliximab (IFX), golimumab (GLM) or ustekinumab. Setting 46 primary-care Canadian rheumatology practices. Participants 223 patients with PsA receiving IFX (enrolled since 2005) and GLM (enrolled since 2010) with available MDA information at baseline, 6 months and/or 12 months. Primary and secondary outcome measures MDA was defined as ≥5 of the following criteria: 28-item tender joint count (TJC28) ≤1, 28-item swollen joint count (SJC28) ≤1, Psoriasis Area and Severity Index (PASI) ≤1 or body surface area≤3, Pain Visual Analogue Scale (VAS) ≤15 mm, patient’s global assessment (PtGA) (VAS) ≤20 mm, Health Assessment Questionnaire (HAQ) ≤0.5, tender entheseal points ≤1. Independent prognostic factors of MDA achievement were assessed with multivariate logistic regression. Results MDA was achieved by 11.7% of patients at baseline, 43.5% at 6 months, 44.8% at 12 months and 48.8% at either 6 or 12 months. Among MDA achievers at 6 months, 75.7% had sustained MDA at 12 months. Lower baseline HAQ (OR=0.210; 95% CI: 0.099 to 0.447) and lower TJC28 (OR=0.880; 95% CI: 0.804 to 0.964), were significant prognostic factors of MDA achievement over 12 months of treatment. The most commonly unmet MDA criteria among MDA achievers was patient reported pain (25%), PtGA (15%) and PASI (12%). Conclusions Almost 50% of patients treated with IFX or GLM in routine clinical care achieved MDA within the first year of treatment. Lower baseline HAQ and lower TJC28, were identified as significant prognostic factors of MDA achievement. The most commonly unmet criteria in patients who achieved MDA were pain, PtGA and PASI. Trial registration number BioTRAC (NCT00741793).
Resource Allocation in Reverse TDD Wireless Backhaul HetNets With 3D Massive Antennas

This letter investigates resource allocation for users and small cell wireless backhaul in a reverse time division duplexing heterogenous network with 3D massive antennas at the macrocell base station. We first formulate the problem to maximize the summation of the logarithmic throughputs of all users, including the small cell users and macrocell users, considering backhaul limitation and resource allocation. To address the non-convex and non-linear optimization problem, we develop an iterative algorithm based on primal decomposition to find its solution. Simulation results demonstrate that the proposed algorithm benefits both cell edge and cell average performance.
Predictive factors of in-hospital mortality in ventilated intensive care unit

Abstract Although it is clear that ventilated intensive care unit (ICU) patients have worse outcomes than those who are not, information about the risk factors of in-hospital mortality remains important for medical groups to target interventions for these patients. The purpose of this study was to identify predictive factors of in-hospital mortality in ventilated ICU patients with an admission diagnosis of acute respiratory failure. We conducted a prospective cohort study in 3 medical ICUs in a 3600-bed university hospital. Consecutive patients with acute respiratory failure who received mechanical ventilation (MV) for at least 96 hours without evidence of pre-existing neuromuscular diseases were followed until discharge. Upon inclusion, the following parameters were collected or evaluated: demographics, clinical history (admission body mass index [BMI], etiology of acute respiratory failure, comorbidity, Charlson comorbidity index, laboratory data), Acute Physiology and Chronic Health Evaluation (APACHE) II, and right and left quadriceps femoris muscle force. The days of MV before extubation, ICU length of stay, survival status at discharge, and hospital length of stay were recorded from the hospital discharge summary. The primary endpoint was in-hospital mortality. In all, 113 patients (65.49% males) were recruited with a mean age of 69.78 years and mean APACHE II score of 22.63. The mean ICU length of stay was 14.88 ± 9.79 days. Overall in-hospital mortality was 25.66% (29 out of 113 patients). Multivariate analysis showed that the essential factors associated with increased in-hospital mortality were lower BMI (P = .013), and lower scores on the right or left quadriceps femoris muscle force (P = .002 and .010, respectively). Our study suggests that lower BMI and lower scores on lower limb muscle force may be associated with increased in-hospital mortality in ventilated ICU patients.
Systolic blood pressure decline in very old individuals is explained by deteriorating health

Abstract Declining systolic blood pressure (SBP) is common in very old age and is associated with adverse events, such as dementia. Knowledge of factors associated with SBP changes could explain the etiology of this decline in SBP. This study investigated longitudinal changes in socioeconomic factors, medical conditions, drug prescriptions, and assessments and their associations with SBP changes among very old followed individuals. The study was based on data from the Umeå85+/Gerontological Regional Database (GERDA) cohort study, which provided cross-sectional and longitudinal data on participants aged 85, 90, and ≥95 years from 2000 to 2015. Follow-up assessments were conducted after 5 years. The main outcome was a change in SBP. Factors associated with SBP changes were assessed using multivariate linear regression models. In the Umeå85+/GERDA study, 454 surviving individuals underwent follow-up assessment after 5 years. Of these, 297 had SBP measured at baseline and follow-up. The mean change ± standard deviation in SBP was –12 ± 25 mm Hg. SBP decline was associated independently with later investigation year (P = .009), higher baseline SBP (P < .001), baseline antidepressant prescription (P = .011), incident acute myocardial infarction during follow-up (P = .003), new diuretic prescription during follow-up (P = .044), and a decline in the Barthel Activities of Daily Living index at follow-up (P < .001). In conclusion, SBP declines among very old individuals. This decline seems to be associated with initial SBP level, investigation year, and health-related factors.
Efficient enzymatic production of rebaudioside A from stevioside

Stevioside and rebaudioside A are the chief diterpene glycosides present in the leaves of Stevia rebaudiana. Rebaudioside A imparts a desirable sweet taste, while stevioside produces a residual bitter aftertaste. Enzymatic synthesis of rebaudioside A from stevioside can increase the ratio of rebaudioside A to stevioside in steviol glycoside products, providing a conceivable strategy to improve the organoleptic properties of steviol glycoside products. Here, we demonstrate the efficient conversion of stevioside to rebaudioside A by coupling the activities of recombinant UDP-glucosyltransferase UGT76G1 from S. rebaudiana and sucrose synthase AtSUS1 from Arabidopsis thaliana. The conversion occurred via regeneration of UDP-glucose by AtSUS1. UDP was applicable as the initial material instead of UDP-glucose for UDP-glucose recycling. The amount of UDP could be greatly reduced in the reaction mixture. Rebaudioside A yield in 30 h with 2.4 mM stevioside, 7.2 mM sucrose, and 0.006 mM UDP was 78%. Graphical abstract Concept of the two-enzyme system for efficient synthesis of rebaudioside A from stevioside. UGT76G1, UDP-glucosyltransferase from Stevia rebaudiana; AtSUS1, sucrose synthase from Arabidopsis thaliana.
Rating of Cells and Lenses for Photovoltaic Concentration Systems Outdoors

The use of light concentrator systems has been proved to be an effective means of reducing the electricity costs produced by photovoltaics; in fact with this technology the area of the photovoltaic cell used is reduced, compared with a flat-photovoltaic application, thanks to the introduction of less expensive lenses and mirrors. The aim of this paper is the description and realization of several outdoor measurement apparatuses for an overall outdoor characterization of cells and lenses for photovoltaic concentration systems; in this way we can determine the electrical and the optical characteristics of concentration systems using as light source directly the sun light. Therefore the problem to reproduce a light flux over extensive areas with the same spatial divergence of the sun light, very important problem to face for indoor measurement apparatuses, it is overcome.
Drivers of species' role in avian seed‐dispersal mutualistic networks

The mutualistic interaction between frugivore birds and the fruiting plants they disperse presents an asymmetric interaction pattern, with some species having a more important role (i.e. being essential) for maintaining the structure and functioning of the interaction network. The identification of the biological characteristics of these species is of major importance for the understanding and conservation of seed-dispersal interactions. In this study, I use a network approach and avian seed-dispersal networks from 23 different geographical areas to test five hypotheses about species characteristics determining the structure of the assemblage. I expected (i) large birds to forage on a large number of fruits and (ii) large fruits to be dispersed by few bird species (because of morphological constraints), and (iii) highly energetic fruits to be dispersed by more bird species (in accordance with optimal foraging theory). Besides the number of interacting partners, I also expected (iv) large birds and (v) small energetic fruits to be important for the maintenance of the structure of the interactions in seed-dispersal networks. As species that are closely related are more likely to be similar to each other, I performed phylogenetically corrected analyses to account for this data dependence. Although bird size was not associated to species important in the maintenance of the structure of the seed-dispersal community, I identified that bird species whose diet was strongly dependent on fruits were important for the structure of the network. Regarding the plants, I found that large fruits were dispersed by fewer species, but the most important attribute to predict the role of a fruit was its energy content (higher energy, more bird species dispersing the plant, but low-energy fruits being of conservation concern because they are dispersed by specific species). The results of this study suggest that the role of the species in seed-dispersal assemblages seems to be determined by the role of the species as consumers (frugivory degree for animals) or by their nutritional inputs (energy content for fruits) rather than by morphological constrains.
Collaborative Rankings

In this paper we introduce a new ranking algorithm, called Collaborative Judgement (CJ), that takes into account peer opinions of agents and/or humans on objects (e.g. products, exams, papers) as well as peer judgements over those opinions. The combination of these two types of information has not been studied in previous work in order to produce object rankings. Here we apply Collaborative Judgement to the use case of scientific paper assessment and we validate it over simulated data. The results show that the rankings produced by our algorithm improve current scientific paper ranking practice, which is based on averages of opinions weighted by their reviewers’ self-assessments. Address for correspondence: Campus UAB, 08193 Bellaterra, Spain ∗Supported by an Industrial PhD scholarship from the Generalitat de Catalunya (DI-060). 278 E. Andrejczuk et al. / Collaborative Rankings
Nano Electronics: A New Era of Devices

The technical and economic growth of the twentieth century was marked by evolution of electronic devices and gadgets. The day-to-day lifestyle has been significantly affected by the advancement in communication systems, information systems and consumer electronics. The lifeline of progress has been the invention of the transistor and its dynamic up-gradation. Discovery of fabricating Integrated Circuits (IC’s) revolutionized the concept of electronic circuits. With advent of time the size of components decreased, which led to increase in component density. This trend of decreasing device size and denser integrated circuits is being limited by the current lithography techniques. Non-uniformity of doping, quantum mechanical tunneling of electrons from source to drain and leakage of electrons through gate oxide limit scaling down of devices. Heat dissipation and capacitive coupling between circuit components becomes significant with decreasing size of the components. Along with the intrinsic technical limitations, downscaling of devices to nanometer sizes leads to a change in the physical mechanisms controlling the charge propagation. To deal with this constraint, the search is on to look around for alternative materials for electronic device application and new methods for electronic device fabrication. Such material is comprised of organic molecules, proteins, carbon materials, DNA and the list is endless which can be grown in the laboratory. Many molecules show interesting electronic properties, which make them probable candidates for electronic device applications. The challenge is to interpret their electronic properties at nanoscale so as to exploit them for use in new generation electronic devices. Need to trim downsize and have a higher component density have ushered us into an era of nanoelectronics.
Dynamic Contrast‐Enhanced MRI in Low‐Grade Versus Anaplastic Oligodendrogliomas

Low‐grade and anaplastic oligodendrogliomas are often difficult to differentiate on the basis of conventional MR imaging characteristics. Dynamic contrast‐enhanced (DCE) MRI can assess tumor microvasculature and has demonstrated utility for predicting glioma grade and prognosis in primary brain tumors. The aim of our study was to evaluate the performance of plasma volume (Vp) and volume transfer coefficient (Ktrans) derived from DCE MRI in differentiating between grade II and grade III oligodendrogliomas.
A phyletic model for evaluating phylogenetic tree estimation

In the field of phylogenetics, a range of methods have been proposed for estimating phyletic trees and cladograms. However, it is not yet clear whether these methods work with real phyletic relationships. To give a foundation to evaluate these methods, we propose a phyletic model to generate various phyletic relationships in this paper. In experiments, we generated various phyletic relationships by the proposed model and evaluated an existing estimation method.
Cell-free and user-centric massive MIMO at millimeter wave frequencies

In a cell-free (CF) massive MIMO architecture a very large number of distributed access points (APs) simultaneously and jointly serves a much smaller number of mobile stations (MSs); a variant of the cell-free technique is the user-centric (UC) approach, wherein each AP just decodes a reduced set of MSs, practically the ones that are received best. This paper introduces and analyzes the CF and UC architectures at millimeter wave (mmWave) frequencies. First of all, a multiuser clustered channel model is introduced in order to account for the correlation among the channels of nearby users; then, an uplink multiuser channel estimation scheme is described along with low-complexity hybrid analog/digital beamforming architectures. Interestingly, in the proposed scheme no channel estimation is needed at the MSs, and the beamforming schemes used at the MSs are channelindependent and have a very simple structure. Numerical results show that the considered architectures provide good performance, especially in lightly loaded systems, with the UC approach outperforming the CF one.
Current-induced atomic dynamics, instabilities, and Raman signals: Quasiclassical Langevin equation approach

Using a generic two-level molecular model, we highlight the importance of both current-induced forces and Joule heating for the stability of the system. We compare the impact of the dierent forces, and the wide-band approximation for the electronic structure on our result. We examine the current-induced instabilities (excitation of runaway \waterwheel" modes) and investigate the signature of these in the Raman signals.