LLukas22/scidocs huggingface dataset:
Effect of physician specialty on use of necessary coronary angiography.

OBJECTIVES
This study sought to determine whether having a cardiologist as a regular source of care influences likelihood of undergoing necessary coronary angiography.


BACKGROUND
An important element of the current health policy debate is the respective roles of primary care and specialist physicians. However, there are few data on interspecialty differences in quality of care for patients with ischemic heart disease.


METHODS
We contacted 243 patients by telephone (response rate 72%) who had positive (or very positive) exercise stress test results and met additional clinical criteria for necessary coronary angiography. Study patients were randomly sampled from those undergoing exercise stress testing at one university and three public hospitals in Los Angeles between January 1, 1990 and June 30, 1991. Patients were asked whether they had a regular source of care during the time after their exercise stress test and, if so, whether that provider was a cardiologist or cardiology clinic.


RESULTS
Among survey responders, 47% underwent necessary coronary angiography within 3 months of exercise testing and 61% within 12 months. After adjustment for sociodemographics and clinical presentation, patients with a cardiologist as a regular source of care were more likely than all other patients to have undergone necessary angiography within 3 months (52% vs. 38%, p = 0.05) and within 12 months (74% vs. 44%, p = 0.0001) of the exercise test. At 3 months, there was a trend toward a more pronounced effect of ongoing cardiologic care within the public hospitals compared with the private hospital (p = 0.09 for interaction between hospital types).


CONCLUSIONS
Patients with a cardiologist as a regular source of care were more likely than all other patients to undergo clinically necessary coronary angiography within both 3 and 12 months of exercise stress testing.
Characteristics of Contactless Power Transfer for HTS Coil Based on Electromagnetic Resonance Coupling

This paper describes a operating characteristics of contactless power transfer (CPT) system from normal conducting coil to HTS coil based on the electromagnet resonance coupling. The basic principle is that two separate coils with same resonance frequency are possible to form a resonant system based on high frequency magnetic coupling and exchange energy in a high efficiency. The CPT technique with the electromagnetic resonance coupling has been expected as a useful option for contactless charge and storage devices. Since the CPT technology using normal conducting coils is sensitive to tune impedance matching, the transfer power efficiency is limited. From this reason, we proposed the combination CPT technology with superconducting receiver coils, it is called as, superconducting contactless power transfer (SUCPT). The SUCPT system can reduce joint loss of superconducting connection and increase the portability of the superconducting system. In this study, as a fundamental step, the optimal power transfer conditions needed to generate inductive power transfer between normal conducting coils and superconducting coil were experimentally examined. The power transfer profile for coupled resonance coils with high frequency power was investigated in order to minimize operating power.
Accounting for the Contradictory Organizational Consequences of Information Technology: Theoretical Directions and Methodological Implications

Although much contemporary thought considers advanced information technologies as either determinants or enablers of radical organizational change, empirical studies have revealed inconsistent findings to support the deterministic logic implicit in such arguments. This paper reviews the contradictory empirical findings both across studies and within studies, and proposes the use of theories employing a logic of opposition to study the organizational consequences of information technology. In contrast to a logic of determination, a logic of opposition explains organizational change by identifying forces both promoting change and impeding change. Four specific theories are considered: organizational politics, organizational culture, institutional theory, and organizational learning. Each theory is briefly described to illustrate its usefulness to the problem of explaining information technology’s role in organizational change. Four methodological implications of using these theories are also discussed: empirical identification of opposing forces, statement of opposing hypotheses, process research, and employing multiple interpretations. (Organizational Transformation; Impacts of Technology; Organization Theory; Research Methodology)
Preliminary Phytochemical Screening and Antimicrobial Activity of Hedera Helix L.

Hedera helix L. is a plant of northern area of Pakistan which was screened for the natural products and antimicrobial activity. Preliminary phytochemical screening, using conventional natural products identification tests indicated the presence of different classes of secondary metabolites such as alkaloids, terpenoids, saponins and tannins. These secondary constituents vary in type in different parts of the plant and which also depends on the type of the solvent extraction. The chloroform and methanolic extracts revealed the presence of alkaloids, while terpenoids, saponins, tannins and reducing sugars were present in n-hexane, chloroform, ethyl acetate and methanolic extracts, respectively. The ethyl acetate and methanol extracts of Hedera helix is the most active, showing activity against three selected Gram positive and two Gram negative bacterial stains and thus displayed highest inhibitory zone of (18:0 mm) at the tested concentration (22 mg/ml) which could be attributed to the presence of these phytochemicals and signifies the potential of Hedera helix as a source of therapeutic agents. Infrared spectroscopic analysis of n-hexane, chloroform, ethyl acetate and methanol crude extract of Hedera helix indicated the presence of O-H, C=O, C-H, C=O, C=C, NH def, NO and C-O-C bond stretching. The medicinal values of Hedera helix are due to the presence of detected 2
Motivational factors that influence the acceptance of Moodle using TAM

0747-5632/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.chb.2010.06.011 * Corresponding author. Tel.: +34 959 21 78 93; fax E-mail addresses: rocio.arteaga@decd.uhu.es, r Sánchez), duarte@uhu.es (A.D. Hueros). Moodle and other virtual teaching platforms have bolstered the ability and motivation of universities to support distance learning. The aim of our study is to improve understanding of the motivational factors behind student satisfaction, or dissatisfaction, with the Web-based learning platform, Moodle. Our study extends the Technology Acceptance Model (TAM) to include technical support and perceived self-efficacy, with the expectation that they influence usage of Moodle. We surveyed 226 students of the Business Administration and Management (LADE) and Infant and Primary School Teaching degree courses of the University of Huelva. The data showed that technical support has a direct effect on perceived ease of use and perceived usefulness. Moodle usage was also directly influenced by perceived ease of use and attitude. The results reveal the importance of perceived ease of use and perceived usefulness on attitude. 2010 Elsevier Ltd. All rights reserved.
The origin and evolution of arthropods

The past two decades have witnessed profound changes in our understanding of the evolution of arthropods. Many of these insights derive from the adoption of molecular methods by systematists and developmental biologists, prompting a radical reordering of the relationships among extant arthropod classes and their closest non-arthropod relatives, and shedding light on the developmental basis for the origins of key characteristics. A complementary source of data is the discovery of fossils from several spectacular Cambrian faunas. These fossils form well-characterized groupings, making the broad pattern of Cambrian arthropod systematics increasingly consensual.
An Evaluation of Keynes's Projected Possibilities

At the onset of the Great Depression, John Maynard Keynes made some startlingly optimistic predictions about the economic possibilities his grandchildren might face a century later. Within the next 100 years, Keynes proclaimed, technological progress would solve the economic problem facing human beings, individuals would devote themselves to noneconomic pursuits instead, and no one would continue to strive for relative goods. Was Keynes right? This article examines each of Keynes's three main prophecies and concludes that, even though over 75 years have transpired since they were made, and even though they were founded in part on the belief held by most classical economists in the value of technological progress and economic growth, not one of Keynes's predictions has been realized. Copyright © 2008 American Journal of Economics and Sociology, Inc..
Smart Residential Load Simulator for Energy Management in Smart Grids

This paper describes the development of a freeware smart residential load simulator to facilitate the study of residential energy management systems in smart grids. The proposed tool is based on MATLAB-Simulink-GUIDE toolboxes and provides a complete set of user-friendly graphical interfaces to properly model and study smart thermostats, air conditioners, furnaces, water heaters, stoves, dishwashers, cloth washers, dryers, lights, pool pumps, and refrigerators, whose models are validated with actual measurements. Wind and solar power generation as well as battery sources are also modeled, and the impact of different variables, such as ambient temperature and household activity levels, which considerably contribute to energy consumption, are considered. The proposed simulator allows modeling of appliances to obtain their power demand profiles, thus helping to determine their contribution to peak demand, and allowing the calculation of their individual and total energy consumption and costs. In addition, the value and impact of generated power by residential sources can be determined for a 24-h horizon. This freeware platform is a useful tool for researchers and educators to validate and demonstrate models for energy management and optimization, and can also be used by residential customers to model and understand energy consumption profiles in households. Some simulation results are presented to demonstrate the performance and application of the proposed simulator.
Chinese Traditional Thought and Practice: Lessons for an Ecological Economics Worldview

This paper argues the need for a moral dimension, lacking in the neo-classical paradigm, to humanity’s relationship with the natural world. Against this background, it reviews Chinese philosophical/religious traditions of Confucianism, Taoism, Buddhism, neo-Confucianism, and popular religious practice. The Chinese worldview derived from these traditions is based on ideals of harmony, human perfectibility and systemic fit within natural systems and processes. However, it also contains strong worldly and utilitarian elements at the popular level, and environmental degradation in modern China is explained in terms of recent increases in the importance of the pragmatic over the ideal. The paper concludes that Chinese traditions offer conceptual resources for ecological thinking by placing economics within a wider socio-ecological fabric, emphasising soft technologies, challenging meta-economic assumptions, and encouraging systemic wisdom. © 2002 Elsevier Science B.V. All rights reserved.
Introduction: Recent Developments in Parallel and Distributed Data Mining

Introduction Data Mining and Knowledge Discovery in Databases (KDD) is an interdisciplinary field merging ideas from statistics, machine learning, databases, and parallel and distributed computing. It has been engendered by the phenomenal growth of data in all spheres of human endeavor, and the economic and scientific need to extract useful information from the collected data. The key challenge in data mining is the extraction of knowledge and insight from massive databases. KDD refers to the overall process of discovering new patterns or building models from a given dataset. There are many steps involved in the KDD enterprise which include data selection, data cleaning and preprocessing, data transformation and reduction, data-mining task and algorithm selection, and finally post-processing and interpretation of discovered knowledge. This KDD process tends to be highly iterative and interactive. Typically data mining has the two high level goals of prediction and description. In prediction, we are interested in building a model that will predict unknown or future values of attributes of interest, based on known values of some attributes in the database. In KDD applications, the description of the data in human-understandable terms is equally if not more important than prediction. Two main forms of data mining can be identified. In verification-driven data mining the user postulates a hypothesis, and the system tries to validate it. The common verification-driven operations include query and reporting, multidimensional analysis or On-Line Analytical Processing (OLAP), and statistical analysis. Discovery-driven mining, on the other hand, automatically extracts new information from data. The typical discovery-driven tasks include association rules, sequential patterns, classification and regression, clustering, similarity search, deviation detection, etc. While data mining has its roots in the traditional fields of machine learning and statistics, the sheer volume of data today poses the most serious problem. For example, many companies already have data warehouses in the terabyte range (e.g., FedEx, UPS, Walmart). In addition to business oriented data mining, data mining and domain knowledge plays a significant role in knowledge discovery and refinement in engineering, scientific, and medical databases, which are reaching gigantic proportions (e.g., NASA space missions, Human Genome Project) and require both large memory and disk space and high speed computing. 124 ZAKI AND PAN Traditional methods typically made the assumption that the data is memory resident. This assumption is no longer tenable. Implementation of data mining ideas in high-performance parallel and distributed computing environments is thus becoming crucial for ensuring …
The effect of sildenafil citrate (Viagra) on cerebral blood flow in patients with cerebrovascular risk factors.

OBJECTIVES
Sildenafil citrate is widely used for erectile dysfunction. The present study examined the short-term effects of sildenafil administration in individuals with cerebrovascular risk factors, including patients with a history of stroke.


MATERIALS AND METHODS
Twenty-five consecutive male patients with erectile dysfunction and vascular risk factors were included in the study. A perfusion brain SPECT study was performed at baseline and 1 h after the oral administration of sildenafil.


RESULTS
Associations between any of the risk factors and the perfusion scores were not detected, with the exception of stroke. Stroke patients showed significantly more areas with diminished perfusion after sildenafil administration compared to baseline.


CONCLUSIONS
In patients with diabetes or hypertension, a dose of 50 mg sildenafil does not appear to produce detrimental effects on cerebral blood flow. However, patients with a history of stroke may be at increased risk of hemodynamic impairment after the use of sildenafil.
A new grading system for retinal pigment epithelial tears.

PURPOSE
The purpose of this study was to assess the prognostic value of a new grading system for retinal pigment epithelium (RPE) tears that developed after antivascular endo-thelial growth factor (VEGF) therapy for exudative age-related macular degeneration.


METHODS
The authors performed a retrospective review of consecutive eyes that developed an RPE tear after intravitreal injection of an anti-VEGF agent (pegaptanib, bevacizumab, or ranibizumab) within a 4.5-year period (January 2005 to January 2009) at a single center. Fundus photography, fluorescein angiography, and optical coherence topography were studied for each case of RPE tear, and using fluorescein angiography analysis, a measurement of greatest linear diameter (millimeter) was obtained and a grading scale devised. The grade of RPE tear was correlated with visual and anatomical outcomes and response to continued anti-VEGF therapy.


RESULTS
Twenty-one eyes from 20 patients were evaluated in this study. Retinal pigment epithelium tears were graded from one to four based on the greatest length in the vector direction of the tear and involvement of the fovea. Nineteen percent (n = 4) of eyes had Grade 1 tears (diameter smaller than 200 microm), 14% (n = 3) had Grade 2 tears (diameter between 200 microm and 1-disk diameter), 19% (n = 4) had Grade 3 tears (diameter greater than 1-disk diameter), and 48% (n = 10) had Grade 4 tears (Grade 3 tears that involved the foveal center). Lower grade tears were more likely to have better visual acuity and better response to continued anti-VEGF therapy and less likely to develop a disciform scar but were at risk of progressing to a higher grade tear over time.


CONCLUSION
The grading of RPE tears according to greatest linear diameter may have prognostic value in predicting visual acuity and anatomical outcome with or without continued anti-VEGF therapy. Lower grade tears have better visual acuity and response to anti-VEGF therapy. Grade 4 tears have a very poor prognosis with or without anti-VEGF therapy.
On Monopolistic Licensing Strategies under Asymmetric Information

Thin organic layers are laminated on both the top and bottom of a relatively thin ceramic layer to form a reliable thinner composite substrate for packaging a chip-scale flip-chip die in a thin package. A semiconductor die has a number of solder bump-mounting pads formed thereupon which are connected with solder bumps to mounting pads on the top surface of the thin composite substrate.
Multi-Sided Platforms

We study the economic tradeoffs that drive organizations to position themselves closer to or further away from a multi-sided platform (MSP) business model, relative to three traditional alternatives: vertically integrated firms, resellers or input suppliers. These tradeoffs lead to a comprehensive discussion of the defining features of MSPs. The formal model we develop focuses on the MSP versus vertical integration choice, which we interpret in the context of professional services. A key tradeoff emerges between the need to coordinate decisions that generate spillovers across professionals (best achieved by a vertical integrated firm) and the need to both motivate unobservable effort by professionals and ensure professionals adapt their decisions to their private information (best achieved by a MSP). We show how this baseline tradeoff is impacted by the nature of contracts available to the vertically integrated firm and the MSP, and by the possibility of professionals holding pessimistic expectations when deciding whether or not to join the vertically integrated firm or MSP. JEL classification: D4, L1, L5
Kinetic eGFR and Novel AKI Biomarkers to Predict Renal Recovery.

BACKGROUND AND OBJECTIVES
Prompt recognition of severe renal impairment could improve the early management of critically ill patients. We compared the value of kinetic eGFR, plasma neutrophil gelatinase-associated lipocalin (NGAL), and urine tissue inhibitor of metalloproteinase-2 and urine insulin-like growth factor-binding protein 7 ([TIMP-2]*[IGFBP7]) in predicting short-term recovery from AKI and major adverse kidney events.


DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS
During the 6-month study period, 245 patients were admitted to our intensive care unit. This study included 57 consecutive patients presenting with AKI within the first 24 hours after admission. AKI markers were evaluated at inclusion (day 0) and 24 hours later (day 1). Kinetic eGFR was calculated on day 1 according to serum creatinine evolution. Renal recovery was defined as normalization of serum creatinine with reversal of oliguria within 48 hours. Major adverse kidney events included death, need for RRT, or persistence of renal dysfunction at hospital discharge.


RESULTS
Plasma NGAL and [TIMP-2]*[IGFBP7] predicted renal recovery, with area under the receiver-operating characteristic curve (AUC-ROC) values between 0.70 and 0.79 at inclusion. Although plasma NGAL values frequently reached the maximal measurement range, their decrease on day 1 predicted recovery. The kinetic eGFR calculation after initial resuscitation provided the best AUC-ROC value for renal recovery, at 0.87. The best predictions for major adverse kidney events were provided by [TIMP-2]*[IGFBP7] and kinetic eGFR (equal AUC-ROCs of 0.81). Combining AKI markers in addition to clinical prediction models improved the discrimination and reclassification of patients who will recover from AKI or suffer from major adverse kidney events.


CONCLUSIONS
Biomarkers of kidney damage predicted short-term renal recovery and major adverse kidney events for an unselected cohort of critically ill patients. Calculating the kinetic eGFR imposed a delay after initial resuscitation but provided a good diagnostic and prognostic approach. The utility of functional and damage AKI marker combinations in addition to clinical information requires validation in larger prospective studies.
Retrograde transarterial implantation of a nonmetallic aortic valve prosthesis in high-surgical-risk patients with severe aortic stenosis: a first-in-man feasibility and safety study.

BACKGROUND
To assess the feasibility and safety of retrograde transarterial implantation of a novel nonmetallic aortic valve prosthesis (Direct Flow Medical Inc, Santa Rosa, Calif), a prospective single-center study was performed in patients with severe aortic stenosis at high risk for open-heart surgery.


METHODS AND RESULTS
Fifteen patients (intention-to-treat cohort) with an aortic valve area < or = 0.8 cm(2), a > or = 35-mm Hg mean transvalvular pressure gradient, and a logistic EuroSCORE > or = 20% were enrolled. Percutaneous aortic valve replacement was performed with the patient under general anesthesia. Hemodynamic parameters were assessed before and after implantation by transesophageal echocardiography. Clinical follow-up and transthoracic echocardiographic assessment were obtained at 30 days. Procedural success was achieved in 12 patients (80%). Surgical conversion became necessary at day 2 in 1 patient; 11 patients (73%) were discharged with a permanent implant. In these patients, implantation resulted acutely in a significant increase in aortic valve area (median, 1.64 [interquartile range, 1.27 to 1.74] versus 0.60 [0.46 to 0.69] cm(2); P = 0.0033) and a concomitant reduction in the mean pressure gradient (14.0 [13.2 to 16.5] versus 54.0 [43.2 to 59.8] mm Hg; P = 0.0033). At 30 days, 1 cardiac death (6.7%; 95% CI, 0.2% to 32.0%) and 1 major stroke were observed. The 10 surviving patients with a permanent implant showed marked hemodynamic and clinical improvement at this time point.


CONCLUSIONS
In this small series of patients, percutaneous implantation of the Direct Flow Medical aortic valve prosthesis in high-surgical-risk patients was feasible and associated with a reasonably low safety profile.
C9orf72 hexanucleotide repeat associated with amyotrophic lateral sclerosis and frontotemporal dementia forms RNA G-quadruplexes

Large expansions of a non-coding GGGGCC-repeat in the first intron of the C9orf72 gene are a common cause of both amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). G-rich sequences have a propensity for forming highly stable quadruplex structures in both RNA and DNA termed G-quadruplexes. G-quadruplexes have been shown to be involved in a range of processes including telomere stability and RNA transcription, splicing, translation and transport. Here we show using NMR and CD spectroscopy that the C9orf72 hexanucleotide expansion can form a stable G-quadruplex, which has profound implications for disease mechanism in ALS and FTD.