Miracle-dz/UniFAR-FTUs huggingface dataset:
351: EFFECTS OF INSULIN INFUSION RATE CHANGES ON GLUCOSE OSCILLATIONS FOR STRESS HYPERGLYCEMIA

Learning Objectives: Stress hyperglycemia (SH) of critical illness is multifaceted; it involves elevated stress hormones, insulin resistance (IR), and insulin deficiency (ID). The effect of insulin drip adjustments on glucose can be mathematically modeled for various IR and ID combinations, providing insight into the glucoseinsulin dynamics found in SH. Methods: A glucose-insulin model was used to simulate two groups of 20 virtual patients: those receiving, or not receiving, a continuous nutritional source; SH was created by doubling the gluconeogenesis rate, varying IR from borderline to high, and changing insulin secretion from a normal to severely deficient state. This produced pre-insulin glucose oscillations with maximum (Gmax) values between 160-170 mg/dl with minimum (Gmin) values between 80-115 mg/dl. Next, an insulin infusion was titrated to produce two tight glycemic control (TGC) goals with Gmax values of 110 and 125 mg/dl; the insulin was then abruptly stopped. After the glucose oscillations returned to pre-insulin levels, the insulin infusions were restarted at the same TGC rates. The effects on glucose oscillations were studied. Results: Abruptly stopping an insulin infusion caused significant temporary rebound hyperglycemia (RH) when TGC 110 mg/dl infusions were the starting point, provided IR was high (largest increase 20 mg/dl) without dependence on ID. Abruptly restarting an insulin infusion resulted in Gmin values that were temporarily lower than those in the steady state insulin infusions (largest decrease 20 mg/dl); this was most pronounced when the TGC 110 mg/dl rates were used with severe ID. With no nutritional source, RH was not produced; however, mild hypoglycemia occurred when the insulin infusions were restarted when IR was high. Conclusions: Glucose-insulin dynamics are nonlinearly affected by IR, ID, and the nutritional source; each of which may change over time. It is unlikely that a traditional insulin drip protocol, based on a single simple algorithm, could optimally handle such complexity. Mathematical glucose-insulin models may prove the most adaptive in the critical care setting.
VID2GAME: CONTROLLABLE CHARACTERS EX-

We extract a controllable model from a video of a person performing a certain activity. The model generates novel image sequences of that person, according to user-defined control signals, typically marking the displacement of the moving body. The generated video can have an arbitrary background, and effectively capture both the dynamics and appearance of the person. The method is based on two networks. The first maps a current pose, and a singleinstance control signal to the next pose. The second maps the current pose, the new pose, and a given background, to an output frame. Both networks include multiple novelties that enable high-quality performance. This is demonstrated on multiple characters extracted from various videos of dancers and athletes.
Suppression of Hepatic Apoptosis Induced by Acetaminophen Using a Combination of Resveratrol and Quercetin: An Association of Oxidative Stress and Interleukin-11

We sought to determine whether the combined polyphenolic compounds, resveratrol and quercetin can substantially protect against modulation of hepatic biomarkers of apoptosis and survival, p53-Bax axis and B-cell lymphoma 2 (Bcl-2) in an an imal model of acetaminophen-induced acute liver injury via the association of oxidative stress and interleukin-11 (IL-11). The model group of rats received a single dose of acetaminophen (2 g/kg), whereas the protective group of rats was pre-treated for 7 days with com bined doses of resveratrol (30 mg/kg) and quercetin (50 mg/kg) before being given a single dose of acetaminophen. All rats were then acrificed 24 hours post acetaminophen ingestion. Acetaminophen overdose induced acute liver injury as demonstrated by profound liver pare nchymal damage and increased levels of the liver injury enzymes, alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Acetaminophen significantly (p<0.05) modulated malondialdehyde (MDA), p53, apoptosis regulator Bax, Bcl-2, IL-11, interleukin-6 (IL-6), ALT, AST, superoxide dismutase (SOD), and glutathione peroxidase (GPx), which were significantly protected by resveratr ol plus quercetin. We further demonstrated a significant (p<0.01) correlation between IL-11 scoring and the levels of p53, Bax, Bc l-2, and MDA. Thus, resveratrol plus quercetin effectively protect against acetaminophen-induced apoptosis, which is associated with the inhibition of oxidative stress and IL-11.
The Saphira array’s charge packet size distribution

The Saphira electron avalanche photodiode (eAPD) array provides unprecedented low noise performance at near-infrared wavelengths, providing new opportunities for high-performance AO wavefront sensors. Recent investigations have examined the pulse-height distribution at low flux rates to search for a peak corresponding to single photon events, but no such peak has been clearly identified. In this paper we show that the pulse height distribution is in fact quantized at a value of approximately gain/3.
Visual landmarks calibrate auditory space across eye movements

Visual objects that are present both before and after eye movements can act as landmarks, aiding localization of other visual stimuli. We investigated whether visual landmarks would also influence auditory localization – despite participants’ head position remaining unchanged. Participants made eye-movements from central fixation to a peripheral visual landmark, which either remained stationary or was covertly displaced. Following the movement, participants judged whether a stimulus (auditory or visual) was shifted in location relative to before the movement. Visual localization estimates shifted along with the landmark, although the landmark displacement itself went unnoticed. Interestingly, auditory localization estimates were also displaced. Thus, despite identical auditory input reaching the ears, two auditory stimuli originating from the same position were perceived as spatially distinct when the visual landmark moved. These results are consistent with the idea that auditory spatial information is encoded within an eye-centered reference frame and subject to spatial recalibration by visual landmarks. Highlights Visual landmarks affect stimulus localization across eye movements We show this also for auditory stimuli, even when the head remains stable Due to a visual landmark displacement, identical auditory stimuli are perceived as shifted This suggests that auditory space is calibrated on eye-centered maps across saccades
On the concentration of innovation in top cities in the digital age

This paper investigates how digital technologies have shaped the concentration of inventive activity in cities across 30 OECD countries. It finds that patenting is highly concentrated: from 2010 to 2014, 10% of cities accounted for 64% of patent applications to the European Patent Office, with the top five (Tokyo, Seoul, San Francisco, Higashiosaka and Paris) representing 21.8% of applications. The share of the top cities in total patenting increased modestly from 1995 to 2014. Digital technology patent applications are more concentrated in top cities than applications in other technology fields. In the United States, which has led digital technology deployment, the concentration of patent applications in top cities increased more than in Japan and Europe over the two decades. Econometric results confirm that digital technology relates positively to patenting activities in cities and that it benefits top cities, in particular, thereby strengthening the concentration of innovation in these cities.
Location Embedding and Deep Convolutional Neural Networks for Next Location Prediction

We focus in this work on predicting the next location of mobile users by analyzing large data sets of the history of their movements. We make use of past location sequences to train a classification model that will be used to predict future locations. Contrary to traditional mobility prediction techniques based on Markovian models, we investigate the use of modern deep learning techniques such as the use of Convolutional Neural Networks (CNNs). Inspired by the word2vec embedding technique used for the next word prediction, we present a new method called loc2vec in which each location is encoded as a vector whereby the more often two locations cooccur in the location sequences, the closer their vectors will be. Using the vector representation, we divide long mobility sequences into several sub-sequences and use them to form Mobility Subsequence Matrices on which we run CNN classification which will be used later for the prediction. We run extensive testing and experimentation on a subset of a large real mobility trace database made publicly available through the CRAWDAD project. Our results show that loc2vec embedding and CNN-based prediction provide significant improvement in the next location prediction accuracy compared to state-of-the-art methods. We also show that transfer learning on existing pretrained CNN models provides further improvement over CNN models build from scratch on mobility data. We also show that our loc2vec-CNN model enhanced with transfer learning achieves better results than other variants including our other proposal onehot-CNN and existing Markovian models.
EFFECT OF RESTRAINTS ON THE RESPONSE OF RC COLUMNS IN A PARAMETRIC FIRE

The effect of induced restraint on the fire response of reinforced concrete (RC) columns is addressed in this work. A finite element model, capable of analysing the behaviour of restrained RC columns from pre-fire stages to collapse in fire is developed for the analysis of RC structure elements subjected to natural or parametric fire conditions. The advantage of the procedure is its ability to consider realistic constitutive relations for concrete and steel including wide range phenomena such as transient creep, plasticity, cracking, and degradation of material properties, all within the framework of large displacements and small strains theory. The model is used to investigate the effect of the degree of axial restraint, fire scenario, failure criteria, compressive load level, slenderness and eccentricity on the fire response of restrained RC columns. Through the results of the parametric study, it is shown that the fire parameters significantly influence the fire resistance of RC columns. It’s also shown that the conventional method based on standard fire exposure may not be conservative if the resulting fire has a decay phase similar to the severe fire scenario used in this study.
Erratum: Big data analytics adoption: A case study in a large South African telecommunications organisation

& Fleischer 1990), the most commonly uses. Studies in BDA adoption usually focus on the adoption intentions that relate to the initiation stage and very few on the adoption decision stage that leads to deployment (Chen, Kazman & Matthes 2015b). Although the TOE framework has generally been empirically supported, it is limited in explaining the paradoxical phenomena that despite big data being the most significant technology disruption since the rise of the Internet, big data deployments are still scarce (Chen et al. 2015b). A ‘limbo stage’ is observed in BDA adoption where organisations Background: Big data analytics (BDA) offers a frontier of opportunities across all industries enabling improvements in marketing, customer service and product development. The adoption process for BDA is often challenging for organisations, given the complexities associated with it. Objective: The objective of this study was hence to understand factors that influence the BDA adoption process in organisations. The technology–organisation–environment framework was combined with factors from a Big Data Adoption model and used as a foundation for the study. Method: A case study research strategy was performed on a large telecommunication organisation. Themes were identified which provided rich explanations into the factors influencing the BDA adoption process in organisations. Results: Five technological factors were confirmed to influence the BDA adoption process. These were: (1) relative advantage, (2) complexity, (3) compatibility, (4) trialability and (5) data quality. Four organisational factors were confirmed to influence the BDA adoption process. These were: (1) top management support, (2) human resource expertise, (3) business and information technology (IT) alignment and (4) organisation size. Five environmental factors were confirmed to influence the BDA adoption process. These were: (1) competitive pressure, (2) data privacy, (3) vendor support, (4) IT fashion and (5) regulatory requirements. Two factors were confirmed as influencing an organisations’ ability to move from intention to adopt BDA to actual deployment. These were: (1) complexity tolerance and (2) paradigm shifts. Conclusion: This study provided evidence that organisations that have a high tolerance for complexity are more likely to move rapidly from intention to adopt BDA to actual deployment and effectively reduce the deployment gap.
A Critical Literature Review of Spatio-temporal Simulation Methods for Daylight Glare Assessment

A well daylighted space can provide a highly satisfying visual environment. However, if that environment causes us visual discomfort, it can become such a nuisance that we, sometimes literally, turn our backs on this powerful connection to the outside world. Given this, there is enormous value in quantifying the occurrence of discomfort glare within buildings, and in glare models that may guide architects and engineers in design. With the success of climate-based modeling techniques for daylight illuminance, there is now a focus on including discomfort glare metrics in spatio-temporal evaluations. This article conducts a literature review of research focused on spatio-temporal simulations for glare assessment. Studies are reviewed according to their objectives, metrics calculated, spatial scope, temporal scope and scene variety. The goal is to document the limitations of current simulation methods, the potential to generally apply these methods, and how well these methods incorporate empirical glare research. This review finds that, due to computational constraints, there is an over-reliance on illuminance-based metrics for spatio-temporal glare assessment, even while user assessment research reinforces the importance of including contrast-based measures. To achieve an accurate zonal glare assessment, future research should focus on improving simulation efficiency and identifying ways to reduce the spatial, temporal and angular scope of the simulation, while maintaining high accuracy. Nomenclature Eh Horizontal illuminance (lux) Ev Vertical illuminance (lux) Lb Background luminance (cd/m ) Ls Source luminance (cd/m) ωs Source solid angle (steradians) ASE Annual Sunlight Exposure (IESNA, 2012) CGI CIE Glare Index (Einhorn, 1979) DGI Daylight Glare Index (Hopkinson, 1972) DGP Daylight Glare Probability (Wienold and Christoffersen, 2006) DGPs A simplified approximation of DGP based only on Ev (Wienold, 2007) eDGPs Daylight Glare Probability (Wienold, 2009) UDI Useful Daylight Illuminance (Nabil and Mardaljevic, 2005) UDIe Useful Daylight Illuminance Exceeded (Nabil and Mardaljevic, 2005) UGP Unified Glare Probability (Hirning et al, 2014) UGR Unified Glare Rating (International Commission on Illumination, 1995) SDAR Journal 2019
Schooling experiences of children left behind in Zimbabwe by emigrating parents: Implications for inclusive education

Since the year 2000, a deepening political and economic crisis in Zimbabwe has forced parents to emigrate en masse to regional and international destinations such as South Africa, Botswana, Namibia, and the United Kingdom, the United States of America, Canada, Australia, and New Zealand respectively. Without guaranteed employment and with little knowledge of the education systems and the living conditions in the destination countries, most parents chose to initially emigrate on their own, settle down and later on send for their children. However, most of these children never joined their parents, owing to the various challenges that the majority of parents encountered in the diaspora: unemployment, lack of documentation, and poor living conditions. Against this background, this paper assesses experiences and challenges faced by the left-behind children (LBC) and explores these children’s perceptions of their interactions with teachers through inclusive education practices. A phenomenological research approach was adopted; in-depth interviews were used to collect data. The high schools were purposively sampled, one from a low-income area and the other from a high-income area in order to get a more pronounced picture of the experiences of LBC in the city. The results of the study indicate that LBC faced numerous challenges: excessive household chores, little help from guardians with homework, inadequate representation at school meetings, and non-payment of school expenses. Most children viewed their interaction with teachers as generally negative and reported that most of their needs were not met. The study recommends the crafting of inclusive education legislation for the country so that new vulnerabilities are holistically dealt with. Keywords: inclusive education; left-behind children (LBC); rights-based education; schooling experiences; vulnerability; Zimbabwe
Motivational Factors and Gender Differences in the Successful Completion of Music Education Doctoral Programs: A Pilot Study

What accounts for the success or failure of music education doctoral students regarding the completion of their degrees? Though students continue to enter doctoral programs, high attrition rates indicate many are not completing their degrees, including PhD students in music education. Perhaps those who complete this high level of academic achievement are more highly motivated than those who do not. An investigation of the differences between genders regarding motivation and length of time for degree completion is the focus of this study and seeks to answer the following: What effect does motivation have on music education doctoral students in the completion of their degrees? Are there motivational differences between male and female music education doctoral students concerning the completion of their degrees? Is there a difference in the amount of time it takes for female music education doctoral students to complete their degrees as compared to male students? Relating factors of motivation to achievement, the Expectancy-Value Theory of Achievement Motivation is the framework used in this study. A questionnaire was used in this quantitative pilot study of former music education doctoral students (n=12) at universities in Ohio who obtained their PhDs within the last 15 years. Results indicate no significant difference between genders regarding the length of time for degree completion, though differences were found in motivational factors for starting and continuing in music education doctoral programs until completion. Limitations, implications, and recommendations for future research are suggested.
Pathogenesis of immune thrombocytopenia

Immune thrombocytopenic purpura: major progress in knowledge of the pathophysiology and the therapeutic strategy, but still a lot of issues Bertrand Godeau Pathogenesis of immune thrombocytopenia Douglas B Cines, Adam Cuker, John W Semple ITP and international guidelines, what do we know, what do we need? Francesco Rodeghiero, Marco Ruggeri Thrombopoietic agents: there is still much to learn James B Bussel, Madhavi Lakkaraja Is B-cell depletion still a good strategy for treating immune thrombocytopenia? Bertrand Godeau, Roberto Stasi Novel treatments for immune thrombocytopenia Andrew Shih, Ishac Nazi, John G. Kelton, Donald M. Arnold Warm autoimmune hemolytic anemia: advances in pathophysiology and treatment Marc Michel Autoimmune neutropenia Aline Moignet, Thierry Lamy
Sodium layer density anisotropies as a reference for tip-tilt measurement in Laser Guide Stars

Nowadays the ultimate limit for high-spatial resolution observations is increasingly related with the availability of a natural star bright enough to provide the tip-tilt information. This problem is especially relevant for telescopes in the 40m range due to the small technical field they consider. From our experience measuring sodium layer profiles at the Observatorio del Teide we realise that the sodium layer could present anisotropies in the 1” range, which eventually might become in a low-contrast image when illuminated by a laser beam designed with a proper width. By tracking such image in close loop from the launching subsystem, a static laser guide star will be generated, that could be used by the receiving adaptive optics system to measure the tip-tilt and all others components of the wavefront aberration caused by the turbulence. Wavefront sensing of the anisotropy images ideally needs a sensor adequate for extended objects, like the plenoptic camera, using correlation-based calculations. Simulations of the computed tip-tilt by a plenoptic wavefront sensor are presented (OOMAO Toolbox), showing the expected quality result as a function of both the photon return and the contrast of the extended laser guide image generated. To confirm and characterize sodium layer anisotropies and also to verify the viability of this tip-tilt measurement system, both the design and simulation results are the cornerstone for planning a measurement campaign, at the Observatorio del Teide.
CUPUASSU AS A POTENTIAL SUBSTRATE FOR FERMENTATION USING KEFIR GRAINS

Kefir grains is complex probiotic culture and in this study it was evaluated the production of fermented (by kefir grains) beverages using milk and cupuassu (Theobramagrandiflorum) pulpin different formulations (g/g). The obtained beverages were evaluated towards pH, soluble solids concentration (SS, °Brix), fermentation yield (Y, g/100g) and cellular growth (Δm, g/100g). It was observed that the higher cupuassu concentration the lower the pH reduction and yield and the higher the cellular growth. There was no significant difference among the replicates but there was a significant difference among the formulations. The beverages were stable during the refrigerated storage (4°C) for 28 days. The pH was established between 3.5 and 4.5 and the SS presented small variations. The cupuassu pulp proved to be a good potential for the production of fermented beverages using kefir grains, even without milk in the formulation.