LLukas22/scidocs huggingface dataset:
Comparison of global 3-D aviation emissions datasets

Aviation emissions are unique from other transportation emissions, e.g., from road transportation and shipping, in that they occur at higher altitudes as well as at the surface. Aviation emissions of carbon dioxide, soot, and water vapor have direct radiative impacts on the Earth’s climate system while emissions of nitrogen oxides (NO x), sulfur oxides, carbon monoxide (CO), and hydrocarbons (HC) impact air quality and climate through their effects on ozone, methane, and clouds. The most accurate estimates of the impact of aviation on air quality and climate utilize threedimensional chemistry-climate models and gridded four dimensional (space and time) aviation emissions datasets. We compare five available aviation emissions datasets currently and historically used to evaluate the impact of aviation on climate and air quality: NASA-Boeing 1992, NASA-Boeing 1999, QUANTIFY 2000, Aero2k 2002, and AEDT 2006 and aviation fuel usage estimates from the International Energy Agency. Roughly 90 % of all aviation emissions are in the Northern Hemisphere and nearly 60 % of all fuelburn and NOx emissions occur at cruise altitudes in the Northern Hemisphere. While these datasets were created by independent methods and are thus not strictly suitable for analyzing trends they suggest that commercial aviation fuelburn and NOx emissions increased over the last two decades while HC emissions likely decreased and CO emissions did not change significantly. The bottom-up estimates compared here are consistently lower than International Energy Agency fuelburn statistics although the gap is significantly smaller in the more recent datasets. Overall the emissions distributions are quite similar for fuelburn and NO x with regional peaks over the populated land masses of North America, Europe, and East Asia. For CO and HC there are relatively larger differences. There are however some distinct differences in the altitude distribution of emissions in certain regions for the Aero2k dataset.
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

This paper describes EMBER: a labeled benchmark dataset for training machine learning models to statically detect malicious Windows portable executable files. The dataset includes features extracted from 1.1M binary files: 900K training samples (300K malicious, 300K benign, 300K unlabeled) and 200K test samples (100K malicious, 100K benign). To accompany the dataset, we also release open source code for extracting features from additional binaries so that additional sample features can be appended to the dataset. This dataset fills a void in the information security machine learning community: a benign/malicious dataset that is large, open and general enough to cover several interesting use cases. We enumerate several use cases that we considered when structuring the dataset. Additionally, we demonstrate one use case wherein we compare a baseline gradient boosted decision tree model trained using LightGBM with default settings to MalConv, a recently published end-to-end (featureless) deep learning model for malware detection. Results show that even without hyperparameter optimization, the baseline EMBER model outperforms MalConv. The authors hope that the dataset, code and baseline model provided by EMBER will help invigorate machine learning research for malware detection, in much the same way that benchmark datasets have advanced computer vision research.
Urinary hMG (Meropur) versus recombinant FSH plus recombinant LH (Pergoveris) in IVF: a multicenter, prospective, randomized controlled trial.

To compare IVF outcome in ovarian stimulation protocols with recombinant FSH plus recombinant LH versus hMG, 122 patients were randomized into two study groups: group A, patients treated with urinary hMG, and group B, patients treated with rFSH plus rLH. The two groups proved to be comparable to the main IVF outcome (pregnancy rate, implantation rate, oocytes, and embryos quality), with an increasing risk of ovarian hyperstimulation in the Pergoveris group.
Ergonomics problems due to the use and design of dissector and needle holder: a survey in minimally invasive surgery.

BACKGROUND
This study analyzes the problems and consequences associated with prolonged use of laparoscopic instruments (dissector and needle holder) and equipments.


METHODS
A total of 390 questionnaires were sent to the laparoscopic surgeons of the Spanish Health System. Questions were structured on the basis of 4 categories: demographics, assessment of laparoscopic dissector, assessment of needle holder, and other informations.


RESULTS
A response rate of 30.26% was obtained. Among them, handle shape of laparoscopic instruments was identified as the main element that needed to be improved. Furthermore, the type of instrument, electrocautery pedals and height of the operating table were identified as major causes of forced positions during the use of both surgical instruments.


CONCLUSIONS
As far as we know, this is the largest Spanish survey conducted on this topic. From this survey, some ergonomic drawbacks have been identified in: (a) the instruments' design, (b) the operating tables, and (c) the posture of the surgeons.
Bone morphogenetic proteins 2 and 4 are selectively expressed by late outgrowth endothelial progenitor cells and promote neoangiogenesis.

OBJECTIVE
Endothelial progenitor cells are currently identified either by their surface antigen expression or by their generation of early colonies in culture (CFU-Hill). Another population, endothelial colony-forming cells (ECFCs), has strong vessel-forming capacity but is less well characterized. Given the potential usefulness of CFU-Hill and ECFCs as cell therapy products, their thorough characterization is of major importance.


METHODS AND RESULTS
CFU-Hill and ECFCs were expanded from human cord and adult blood. Bone morphogenetic proteins 2 and 4 (BMP2/4) were selectively expressed by ECFCs but not by CFU-Hill. The BMP pathway was involved in ECFC commitment and angiogenic potential in vitro. In vivo, BMP inhibition strongly reduced plug vascularization in bFGF-containing Matrigel plugs implanted in C57/Bl6 mice. Moreover, ECFC exposure to BMP increased their therapeutic potential in a nude mouse model of hindlimb ischemia. In amputation specimens from patients with critical leg ischemia who had received a local therapeutic injection of bone marrow mononuclear cells, newly formed vessels were strongly positive for BMP2/4, suggesting that endothelial cells involved in neovascularization have an ECFC-like phenotype.


CONCLUSIONS
BMP2/4 are a marker of ECFCs and play a key role in ECFC commitment and outgrowth during neovascularization.
[Regadenoson as a new stress agent in myocardial perfusion imaging. Initial experience in The Netherlands].

OBJECTIVE
Regadenoson is a recently approved selective adenosine-2A receptor agonist to induce pharmacological stress in myocardial perfusion imaging (MPI) procedures using a single bolus injection.


MATERIAL AND METHODS
We included 123 patients referred for MPI because of suspected coronary arterial disease (CAD). Of these, 66 patients underwent a regadenoson stress test and 57 patients underwent an adenosine stress test preceding standard myocardial SPECT imaging. Technicians, physicians and patients were asked to report their experience using questionnaires.


RESULTS
As compared to adenosine, regadenoson did not produce any atrio-ventricular block (0 vs. 10% with adenosine), but did produce minor tachycardia and minimal blood pressure changes while all other side effects were milder and shorter. There were fewer patients with severe complaints after taking regadenoson than adenosine (17% vs. 32%, respectively, p<0.01). The most frequent complaint reported was dyspnea, followed by flushing and chest pain. However, when they did occur, they usually disappeared rapidly. The overall symptom score, including severity and duration of side effects, was significantly lower after regadenoson than after adenosine (6.7±6.3 vs. 10.0±7.9, respectively; p<0.01.) SPECT imaging results were similar. The regadenoson procedure was faster and more practical.


CONCLUSION
Regadenoson, the new selective adenosine-2A receptor agonist, is a stress agent for MPI with a patient- and department friendly profile.
Accounting for Context in Plan Recognition, with Application to Traffic Monitoring

Typical approaches to plan recognition start from a representation of an agent's possible plans, and reason evidentially from observations of the agent's actions to assess the plausibility of the various candidates. A more expansive view of the task (consistent with some prior work) ac­ counts for the context in which the plan was gen­ erated, the mental state and planning process of the agent, and consequences of the agent's ac­ tions in the world. We present a general Bayesian framework encompassing this view, and focus on how context can be exploited in plan recogni­ tion. We demonstrate the approach on a prob­ lem in traffic monitoring, where the objective is to induce the plan of the driver from observation of vehicle movements. Starting from a model of how the driver generates plans, we show how the highway context can appropriately influence the recognizer's interpretation of observed driver be­ havior.
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction

In this paper, a new discriminant analysis for feature extraction is derived from the perspective of least squares regression. To obtain great discriminative power between classes, all the data points in each class are expected to be regressed to a single vector, and the basic task is to find a transformation matrix such that the squared regression error is minimized. To this end, two least squares discriminant analysis methods are developed under the orthogonal or the uncorrelated constraint. We show that the orthogonal least squares discriminant analysis is an extension to the null space linear discriminant analysis, and the uncorrelated least squares discriminant analysis is exactly equivalent to the traditional linear discriminant analysis. Comparative experiments show that the orthogonal one is more preferable for real world applications. 2011 Elsevier B.V. All rights reserved.
Why Business Intelligence?: Significance of Business Intelligence Tools and Integrating BI Governance with Corporate Governance

Business Intelligence (BI) is one of the fastest growing software sector and software vendors are rapidly developing multiple BI tools to support the growing data analysis needs of organisations. In order to be sustainable in a briskly changing turbulent environment, organisations need to have access to information about their operational performance. BI tools play a vital role in supporting the decision makers at different organisational levels. As these tools are becoming critical in decision making, it has become not only an information technology concern but also a management concern. Without proper governance it would be impractical to achieve the value that BI tools offer. Adopting a BI governance framework in organisations will lead to common principles and clear ownership over information. Additionally, appropriate alignment between corporate governance and BI governance can yield more benefits. This paper provides an insight into the importance and value of BI tools. Key functionalities of BI tools have also been highlighted. Different challenges in gaining true value from BI tools have been examined. Four phases of developing a BI governance framework have been illustrated. The alignment between BI governance and corporate governance has also been explored with a recommended model. Exploratory analysis of two organisations (Premier Healthcare Alliance & BellSouth Telecommunications) to identify how they have utilised BI tools and adopted BI governance has been briefly carried out. The paper posits that if the steps for developing a BI framework are adopted by organisations and the BI framework is aligned with the corporate framework, BI deployment and usage will be successful with reduced risk levels. Why Business Intelligence? Significance of Business Intelligence Tools and Integrating BI Governance with Corporate Governance
Student Perceptions of a Course Taught in Second Life.

The last two years have seen a surge of interest in teaching in virtual worlds. A virtual world seems the ideal bridge between the innate interactivity of online courses and the intense absorption offered by immersive role-playing video games. Virtual worlds, as digital learning objects appear to provide a space for constructivist learning at its best, facilitating more student engagement than the simple discussion boards comprising most online courses. Students in a virtual world can actively create their own projects as three-dimensional environments without the restrictions of gravity, scale, economics, identity, or distance. Virtual worlds as educational spaces—with their three-dimensional landscapes and customizable avatars—seem so similar to video games that educators may assume, as we did when we considered designing a course in Second Life, that students will become as motivated by virtual worlds as they are by video games. However, these same similarities may also lead students to perceive virtual worlds as play spaces rather than as innovative educational environments. If students feel that learning opportunities offered in such spaces are not valid, they are likely to feel that they are not learning. I encountered this dilemma firsthand when I worked with a colleague to design and teach a course in Second Life (SL).
A policy scenario analysis of sustainable agricultural development options: a case study for Nepal.

This paper aims to present an operational framework for sustainable agricultural development at the local or regional level. Sustainability targets are introduced by using critical threshold values for policy-relevant variables of different nature. The paper introduces then a so-Ealled flag model to identify feasible and/or desirable policy scenarios. The approach is illustrated by means of an extensive case study on the Bagmati region in Nepal.
Effect of Noninvasive Ventilation Delivered by Helmet vs Face Mask on the Rate of Endotracheal Intubation in Patients With Acute Respiratory Distress Syndrome: A Randomized Clinical Trial.

IMPORTANCE
Noninvasive ventilation (NIV) with a face mask is relatively ineffective at preventing endotracheal intubation in patients with acute respiratory distress syndrome (ARDS). Delivery of NIV with a helmet may be a superior strategy for these patients.


OBJECTIVE
To determine whether NIV delivered by helmet improves intubation rate among patients with ARDS.


DESIGN, SETTING, AND PARTICIPANTS
Single-center randomized clinical trial of 83 patients with ARDS requiring NIV delivered by face mask for at least 8 hours while in the medical intensive care unit at the University of Chicago between October 3, 2012, through September 21, 2015.


INTERVENTIONS
Patients were randomly assigned to continue face mask NIV or switch to a helmet for NIV support for a planned enrollment of 206 patients (103 patients per group). The helmet is a transparent hood that covers the entire head of the patient and has a rubber collar neck seal. Early trial termination resulted in 44 patients randomized to the helmet group and 39 to the face mask group.


MAIN OUTCOMES AND MEASURES
The primary outcome was the proportion of patients who required endotracheal intubation. Secondary outcomes included 28-day invasive ventilator-free days (ie, days alive without mechanical ventilation), duration of ICU and hospital length of stay, and hospital and 90-day mortality.


RESULTS
Eighty-three patients (45% women; median age, 59 years; median Acute Physiology and Chronic Health Evaluation [APACHE] II score, 26) were included in the analysis after the trial was stopped early based on predefined criteria for efficacy. The intubation rate was 61.5% (n = 24) for the face mask group and 18.2% (n = 8) for the helmet group (absolute difference, -43.3%; 95% CI, -62.4% to -24.3%; P < .001). The number of ventilator-free days was significantly higher in the helmet group (28 vs 12.5, P < .001). At 90 days, 15 patients (34.1%) in the helmet group died compared with 22 patients (56.4%) in the face mask group (absolute difference, -22.3%; 95% CI, -43.3 to -1.4; P = .02). Adverse events included 3 interface-related skin ulcers for each group (ie, 7.6% in the face mask group had nose ulcers and 6.8% in the helmet group had neck ulcers).


CONCLUSIONS AND RELEVANCE
Among patients with ARDS, treatment with helmet NIV resulted in a significant reduction of intubation rates. There was also a statistically significant reduction in 90-day mortality with helmet NIV. Multicenter studies are needed to replicate these findings.


TRIAL REGISTRATION
clinicaltrials.gov Identifier: NCT01680783.
Outcomes of children bridged to heart transplantation with ventricular assist devices: a multi-institutional study.

BACKGROUND
Current ventricular assist devices (VADs) in the United States are designed primarily for adult use. Data on VADs as a bridge to transplantation in children are limited.


METHODS AND RESULTS
A multi-institutional, prospectively maintained database of outcomes in children after listing for heart transplantation (n=2375) was used to analyze outcomes of VAD patients (n=99, 4%) listed between January 1993 and December 2003. Median age at VAD implantation was 13.3 years (range, 2 days to 17.9 years); diagnoses were cardiomyopathy (78%) and congenital heart disease (22%). Mean duration of support was 57 days (range, 1 to 465 days). Seventy-three percent were supported with a long-term device, with 39% requiring biventricular support. Seventy-seven patients (77%) survived to transplantation, 5 patients were successfully weaned from support and recovered, and 17 patients (17%) died on support. In the recent era (2000 to 2003), successful bridge to transplantation with VAD was achieved in 86% of patients. Peak hazard for death while waiting was the first 2 weeks after VAD placement. Risk factors for death while awaiting a transplant included earlier era of implantation (P=0.05), female gender (P=0.02), and congenital disease diagnosis (P=0.05). There was no difference in 5-year survival after transplantation for patients on VAD at time of transplantation as compared with those not requiring VAD.


CONCLUSIONS
VAD support in children successfully bridged 77% of patients to transplantation, with posttransplantation outcomes comparable to those not requiring VAD. These encouraging results emphasize the need to further understand patient selection and to delineate the impact of VAD technology for children.
Effect of potassium citrate on bone density, microarchitecture, and fracture risk in healthy older adults without osteoporosis: a randomized controlled trial.

CONTEXT
The acid load imposed by a modern diet may play an important role in the pathophysiology of osteoporosis.


OBJECTIVE
Our objective was to evaluate the skeletal efficacy and safety and the effect on fracture prediction of K-citrate to neutralize diet-induced acid loads.


DESIGN AND SETTING
We conducted a randomized, double-blind, placebo-controlled trial at a teaching hospital.


SUBJECTS
Subjects included 201 elderly (>65 yr old) healthy men and women (t-score of -0.6 at lumbar spine).


INTERVENTION
Intervention was 60 mEq of K-citrate daily or placebo by mouth. All subjects received calcium and vitamin D.


OUTCOME MEASURES
The primary outcome was change in areal bone mineral density (aBMD) at the lumbar spine by dual-energy x-ray absorptiometry after 24 months. Secondary endpoints included changes in volumetric density and microarchitectural parameters by high-resolution peripheral quantitative computed tomography in both radii and both tibiae and fracture risk assessment by FRAX (Switzerland).


RESULTS
K-citrate increased aBMD at lumbar spine from baseline by 1.7 ± 1.5% [95% confidence interval (CI) = 1.0-2.3, P < 0.001] net of placebo after 24 months. High-resolution peripheral quantitative computed tomography-measured trabecular densities increased at nondominant tibia (1.3 ± 1.3%, CI = 0.7-1.9, P < 0.001) and nondominant radius (2.0 ± 2.0%, CI = 1.4-2.7, P < 0.001). At nondominant radius, trabecular bone volume/tissue volume increased by 0.9 ± 0.8%, (CI = 0.1-1.7), trabecular thickness by 1.5 ± 1.6% (CI = 0.7-2.3), and trabecular number by 1.9 ± 1.8% (CI = 0.7-3.1, for all, P < 0.05). K-citrate diminished fracture prediction score by FRAX significantly in both sexes.


CONCLUSIONS
Among a group of healthy elderly persons without osteoporosis, treatment with K-citrate for 24 months resulted in a significant increase in aBMD and volumetric BMD at several sites tested, while also improving bone microarchitecture. Based on the effect on fracture prediction, an effect on future fractures by K-citrate is possible.
A reliable and valid self-rating measure of the restorative quality of natural environments

The purpose of this study was to develop and test a self-rating restoration scale (RS) designed to measure the restorative quality of environments. Both the Kaplan and Kaplan [The Experience of Nature: A Psychological Perspective, Cambridge University Press, New York] and Ulrich [Aesthetic and affective response to natural environment, in: I. Altman, J.F. Wohlwill (Eds.), Behavior and Natural Environments, Plenum Press, New York] hypothesize that restorative environments are settings that facilitate the reduction of stress. Over the past decade, an increasing amount of empirical research has also shown that the restorative influences of environments manifest themselves in emotional, physiological, and cognitive responses of humans [J. Environ. Psychol. 11 (1991) 201]. Thus, the RS should cover, at least, these three dimensions. Moreover, the dimension of intended behavior in environments was also included. This RS was examined and revised through a two-phased experimental design. Forty-eight color slides selected from thousands of slides were used as the stimuli and the surrogates for the actual environments in the experiments. These 48 strictly controlled slides represented a proper and comprehensive sample of the six major terrestrial biomes of the world: desert, tundra, grassland, coniferous forest, deciduous forest, and tropical forest [Ecology and Our Endangered Life-Support Systems, Sinauer Associates Publishers, Sunderland], and varied as a function of high and low levels of three physical variables: complexity, openness, and water features. Five experiments with five groups of undergraduate students at Texas A&M University as subjects (total n = 505) were conducted to test the RS. Results of exploratory, confirmatory, analysis of moment structures (AMOS), correlation, principal component, and reliability analyses indicated that internal validity, convergent and discriminant validity, convergent and divergent construct validity, and reliability of the RS were all adequate. Thus, the operational definition and the construct of restorativeness developed in this study can be applied to future research on recovery from stress. Hopefully, this theory-derived and data-oriented RS will be eventually applied to various environments by any concerned individuals to examine the result of planning and design practice in terms of a desired state of recovery from stress. © 2003 Elsevier Science B.V. All rights reserved.