LLukas22/scidocs huggingface dataset:
Demographic, Medical, and Psychosocial Predictors of Pregnancy Anxiety.

BACKGROUND
Pregnancy anxiety is associated with risk of preterm birth and an array of other birth, infant, and childhood outcomes. However, previous research has not helped identify those pregnant women at greatest risk of experiencing this specific, contextually-based affective condition.


METHODS
We examined associations between demographic, medical, and psychosocial factors and pregnancy anxiety at 24-26 weeks of gestation in a prospective, multicentre cohort study of 5271 pregnant women in Montreal, Canada.


RESULTS
Multivariate analyses indicated that higher pregnancy anxiety was independently related to having an unintended pregnancy, first birth, higher medical risk, and higher perceived risk of complications. Among psychosocial variables, higher pregnancy anxiety was associated with lower perceived control of pregnancy, lower commitment to the pregnancy, more stressful life events, higher perceived stress, presence of job stress, lower self-esteem and more social support. Pregnancy anxiety was also higher in women who had experienced early income adversity and those who did not speak French as their primary language. Psychosocial variables explained a significant amount of the variance in pregnancy anxiety independently of demographic and medical variables.


CONCLUSIONS
Women with pregnancy-related risk factors, stress of various kinds, and other psychosocial factors experienced higher pregnancy anxiety in this large Canadian sample. Some of the unique predictors of pregnancy anxiety match those of earlier US studies, while others point in new directions. Screening for high pregnancy anxiety may be warranted, particularly among women giving birth for the first time and those with high-risk pregnancies.
Prediction of Embankment Dam Breach Parameters A Literature Review and Needs Assessment

have provided many helpful comments in review of the document. Robert Rood and Larissa Casey assisted with the editing and final preparation of the manuscript and made many significant improvements to the final product. the organization and hosting of the February 1998 technical workshop on dam breach processes and also provided many helpful source documents for the literature review. Figure 15. — Comparison of case study data and proposed relations for peak outflow as a function of the product of height and storage parameters .. This peer-reviewed report examines the role, importance, and methods for predicting embankment dam breach parameters needed for analysis of potential dam-failure floods. Special emphasis is given to dam breach analysis within the context of the risk assessment process used by the Bureau of Reclamation (Reclamation). Current methods for predicting embankment dam breach parameters and numerically modeling dam breach events are reviewed, and the needs and opportunities for developing improved technologies are discussed. Recent technical advances that could contribute to improvements in dam breach simulation are identified. In addition to this literature review, Reclamation and the Agricultural Research Service (ARS) cosponsored an international workshop on dam breach processes February 10-11, 1998, attended by about 35 leading professionals working in this field. The workshop provided an opportunity to review and discuss the state-of-the-art, ongoing research, and future needs for dam breach analysis tools. Key findings from this literature review and the workshop include: • There is presently both a need and opportunity to achieve significant improvements in technology used to analyze embankment dam breach processes. The potential benefits to be achieved from this effort may significantly aid risk assessment studies, in which thresholds of dam failure, probabilities of failure, and consequences of failure are all of prime importance. • When population centers are located close to dams, accurate prediction of breach parameters is crucial to development of effective emergency action plans, design of early warning systems, and characterization of threats to lives and property. • Warning time is the most important parameter affecting potential loss of life due to dam failure. • The primary benefits of improved prediction of breach initiation and formation times will accrue to the population within a few kilometers of the structure, but this is also the region which historically has the greatest risk for loss of life. • The distinction between breach initiation time and breach formation time has not been clearly …
Computational techniques for a simple theory of conditional preferences

A simple logic of conditional preferences is defined, with a language that allows the compact representation of certain kinds of conditional preference statements, a semantics and a proof theory. CP-nets and TCPnets can be mapped into this logic, and the semantics and proof theory generalise those of CP-nets and TCP-nets. The system can also express preferences of a lexicographic kind. The paper derives various sufficient conditions for a set of conditional preferences to be consistent, along with algorithmic techniques for checking such conditions and hence confirming consistency. These techniques can also be used for totally ordering outcomes in a way that is consistent with the set of preferences, and they are further developed to give an approach to the problem of constrained optimisation for conditional preferences.
Dynamics in socio-technical systems : Typology of change processes and contrasting case studies

This paper deals with fundamental change processes in socio-technical systems. It offers a typology of changes based on a multi-level perspective of innovation. Three types of change processes are identified: reproduction, transformation and transition. ‘Reproduction’ refers to incremental change along existing trajectories. ‘Transformation’ refers to a change in the direction of trajectories, related to a change in rules that guide innovative action. ‘Transition’ refers to a discontinuous shift to a new trajectory and system. Using the multi-level perspective, the underlying mechanisms of these change processes are identified. The transformation and transition processes are empirically illustrated by two contrasting case studies: the hygienic transition from cesspools to integrated sewer systems (1870–1930) and the transformation in waste management (1960–2000) in the Netherlands. r 2007 Elsevier Ltd. All rights reserved.
Agricultural tractor overturn deaths: Assessment of trends and risk factors.

BACKGROUND
Tractor overturn deaths have been recognized as a public health concern for decades. Studies have reported on the hazards associated with tractor overturns, but none have reported on trends in tractor overturn fatality rates in the United States (US).


METHODS
Tractor overturn fatality data from the Bureau of Labor Statistics Census of Fatal Occupational Injuries were used in Poisson regression models to: identify risk factors associated with overturn fatalities; examine trends in tractor overturn fatality rates between 1992 and 2007; and assess trends in overturn fatality rates for specific risk factors.


RESULTS
Characteristics found to be associated with tractor overturn fatality rates were age, type of farm, region, and the victim's relationship to the farm (P < 0.0001). Older age groups, crop farms, farms in the Midwest and Northeast, and family workers all had higher fatal tractor overturn risks. Overall, tractor overturn fatality rates declined 28.5% between 1992 and 2007. Significant decreases in tractor overturn fatality rates were found for the Northeast and South regions, hired workers, crop farms, and in every age group except those less than 25 years of age.


CONCLUSIONS
Tractor overturn fatality rates decreased between 1992 and 2007. These decreases were not consistent between different categories of the agricultural workforce or regions of the US. Changes in tractor overturn fatality rates may be partially explained by increases in the prevalence of ROPS on farm tractors in the US. ROPS promotion programs are needed to reduce tractor overturn fatalities, especially among those subpopulations at highest risk.
Mammogram of Breast Cancer detection Based using Image Enhancement Algorithm

Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. A frequency domain smoothingsharpening technique is proposed and its impact is assessed to beneficially enhance mammogram images. This technique aims to gain the advantages of enhance and sharpening process that aims to highlight sudden changes in the image intensity, it is usually applied to remove random noise from digital images. The already developed technique also eliminates the drawbacks of each of the two sharpening and smoothing techniques resulting from their individual application in image processing field. The selection of parameters is almost invariant of the type of background tissues and severity of the abnormality, giving significantly improved results even for denser mammographic images. The proposed technique is tested breast X-ray mammograms. The simulated results show that the high potential to advantageously enhance the image contrast hence giving extra aid to radiologists to detect and classify mammograms of breast cancer. Keywords— Fourier transform, Gabor filter, Image, enhancement, Mammograms, Segmentation
Practices, knowledge and risk factors of street food vendors in Uganda

Street food vendors in Kampala, Jinja and Masaka districts in Uganda were surveyed to assess risk factors, practices and knowledge of street food vendors with respect to food safety and hygiene. A total of 225 street food vendors were investigated from August 2008 and May 2009. A structured questionnaire and checklist were used in the interviews and focus group discussions. Street vendors (87.6%) were women and with low education level. Vendors had access to tap water within 5 minwalk. Non-disposable plates/ cups were the commonly used for vending food. Use of soap and cold water for washing utensils was common practice. Wash water recycled several times and only changed when very cloudy and soapy. Street vendors had some knowledge about diarrhoea and its associated risk factors. Toilet facilities were dominated by pour/flash toilet and pit latrine. Masaka (64.3%) and Jinja (38.9%) vendors disposed off the garbage at the vending sites whereas in Kampala (92.8%) used gunny bags.Cooked food was handled at ground level and exposed to flies. Masaka vendors (68.6%) had no hygiene regulations governing the street food vending business whereas Kampala (75.9%) and Jinja (65.3%) indicated hygiene regulations were enforced onsite management by local government. Vendors operated in a variety of vending structures and hygiene of premises was poor. Vendors suggested structural improvement of the vending sites and provision of more sanitary facilities. Street food vendors were aware hygienic practices, but do not put them in practice. Focus group discussants indicated a need to re-emphasize the personal hygiene and education. There is a need to reduce food contamination through education and provision of sanitary facilities at vending sites. 2011 Published by Elsevier Ltd.
A learning style classification mechanism for e-learning

With the growing demand in e-learning, numerous research works have been done to enhance teaching quality in e-learning environments. Among these studies, researchers have indicated that adaptive learning is a critical requirement for promoting the learning performance of students. Adaptive learning provides adaptive learning materials, learning strategies and/or courses according to a student’s learning style. Hence, the first step for achieving adaptive learning environments is to identify students’ learning styles. This paper proposes a learning style classification mechanism to classify and then identify students’ learning styles. The proposed mechanism improves k-nearest neighbor (k-NN) classification and combines it with genetic algorithms (GA). To demonstrate the viability of the proposed mechanism, the proposed mechanism is implemented on an open-learning management system. The learning behavioral features of 117 elementary school students are collected and then classified by the proposed mechanism. The experimental results indicate that the proposed classification mechanism can effectively classify and identify students’ learning styles. 2009 Elsevier Ltd. All rights reserved.
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition

In this report, our approach to tackling the task of ActivityNet 2018 Kinetics-600 challenge is described in detail. Though spatial-temporal modelling methods, which adopt either such end-to-end framework as I3D [1] or two-stage frameworks (i.e., CNN+RNN), have been proposed in existing state-of-the-arts for this task, video modelling is far from being well solved. In this challenge, we propose spatial-temporal network (StNet) for better joint spatial-temporal modelling and comprehensively video understanding. Besides, given that multimodal information is contained in video source, we manage to integrate both early-fusion and later-fusion strategy of multi-modal information via our proposed improved temporal Xception network (iTXN) for video understanding. Our StNet RGB single model achieves 78.99% top-1 precision in the Kinetics-600 validation set and that of our improved temporal Xception network which integrates RGB, flow and audio modalities is up to 82.35%. After model ensemble, we achieve top-1 precision as high as 85.0% on the validation set and rank No.1 among all submissions.
Flosequinan in chronic heart failure: how is exercise capacity improved?

Objective: Diuretics, angiotensin converting enzyme inhibitors and digoxin have become “standard” triple therapy for many patients with chronic cardiac failure. Flosequinan increases exercise duration and improves symptoms when added to standard triple therapy. Despite intensive study, the clinical pharmacology of flosequinan remains uncertain. Setting: The University Hospital of Wales, a Regional Cardiac Centre. Patients: Twenty four patients with chronic heart failure who remained symptomatic despite standard therapy including ACE inhibitors Methods: A double-blind placebo-controlled parallel group study of 100 mg daily of flosequinan. We measured changes in exercise duration using cardiorespiratory exercise testing and changes in large artery distensibility using Doppler ultrasound. Results: Exercise duration after 8 weeks flosequinan treatment was significantly greater than following placebo treatment. The flosequinan-related increase in exercise duration (+14%) was associated with a significant reduction in VE/VCO2 slope (−16%). Brachial-radial pulse wave velocities were unaltered by flosequinan treatment. Conclusions: Our results confirm that flosequinan improves exercise duration in patients with chronic heart failure. They suggest that this observed beneficial effect is independent of any change in large artery distensibility and that in the presence of ACE inhibitors, this improvement may be independent of any vasodilating action of flosequinan. Although this study confirms the beneficial symptommatic effects of flosequinan in chronic cardiac failure, clinical trials have subsequently demonstrated an overall increase in mortality in patients treated with 100 mg flosequinan daily. This has resulted in the withdrawl of flosequinan from routine clinical use.
AN EVENT STRUCTURE ACCOUNT OF ENGLISH RESULTATIVES

Current syntactic accounts of English resultatives are based on the assumption that result XPs are predicated of underlying direct objects. This assumption has helped to explain the presence of reflexive pronouns with some intransitive verbs but not others and the apparent lack of result XPs predicated of subjects of transitive verbs. We present problems for and counterexamples to some of the basic assumptions of the syntactic approach, which undermine its explanatory power. We develop an alternative account that appeals to principles governing the well-formedness of event structure and the event structure-to-syntax mapping. This account covers the data on intransitive verbs and predicts the distribution of subject-predicated result XPs with transitive verbs.*
Effects of the Schroth exercise on idiopathic scoliosis: a meta-analysis.

INTRODUCTION
The purpose of this study was to examine the effects of the Schroth exercise on idiopathic scoliosis. The overall effect size was analyzed in 15 primary studies and a subgroup analysis of the standardized mean differences of effect sizes from 15 primary studies was also conducted.


EVIDENCE ACQUISITION
We used PUBMED, MEDLINE, NDSL, EMBASE, and Web of Science. The key terms used in these searches were "Schroth," "scoliosis-specific exercise," "scoliosis," and "idiopathic scoliosis."


EVIDENCE SYNTHESIS
Cobb's angle, asymmetry, angle of trunk rotation (ATR), strength of back extensor, strength of trunk flexor, quality of life (QOL), balance, chest expansion, and pulmonary function were coded as outcome measures for computing effect sizes. Potential moderating variables of the Schroth exercise included: 1) pre-intervention severity of the scoliosis; 2) duration; and 3) specific types of Schroth exercise.


CONCLUSIONS
The overall effect size of the Schroth exercise is high (g=0.724). In addition, Schroth exercise may be more beneficial for scoliosis patients who have a 10 to 30° Cobb's angle than for those with a greater than 30° Cobb's angle. Patients should practice the exercise for at least one month to have a better effect. Thus, therapists should consider patients' initial curve status and exercise duration before prescribing the Schroth exercise program. Core muscle strength was most influenced, and structural deformity also changed after the Schroth exercise. In sum, the Schroth exercise is a recommended treatment method for scoliosis patients.
Reconstructions of the continents around the North Atlantic at about the 60th parallel

Late Carboniferous^Early Tertiary apparent polar wander (APW) paths (300^40 Ma) for North America and Europe have been tested in various reconstructions. These paths demonstrate that the 500 fathom Bullard et al. fit is excellent from Late Carboniferous to Late Triassic times, but the continental configuration in northern Pangea changed systematically between the Late Triassic (ca. 214 Ma) and the Mid-Jurassic (ca. 170 Ma) due to pre-drift extension. Best fit North Atlantic reconstructions minimize differences in the Late Carboniferous^Early Jurassic and Late Cretaceous^ Tertiary segments of the APW paths, but an enigmatic difference exists in the paths for most of the Jurassic, whereas for the Early Cretaceous the data from Europe are nearly non-existent. Greenland's position is problematic in a Bullard et al. fit, because of a Late Triassic^Early Jurassic regime of compression (s 300 km) that would be inherently required for the Norwegian Shelf and the Barents Sea, but which is geologically not defensible. We suggest a radically new fit for Greenland in between Europe and North America in the Early Mesozoic. This fit keeps Greenland `locked' to Europe for the Late Paleozoic^Early Mesozoic and maintains a reconstruction that better complies with the offshore geological history of the Norwegian Shelf and the Barents Sea. Pre-drift (A24) extension amounted to approximately 450 km on the Mid-Norwegian Shelf but with peak extension in the Late Cretaceous. ß 2001 Published by Elsevier Science B.V.
Coordinate Conversion and Tracking for Very Long Range Radars

The problem of tracking with very long range radars is studied in this paper. First, the measurement conversion from a radar's r-u-v coordinate system to the Cartesian coordinate system is discussed. Although the nonlinearity of this coordinate transformation appears insignificant based on the evaluation of the bias of the converted measurements, it is shown that this nonlinearity can cause significant covariance inconsistency in the conventionally converted measurements (CM1). Since data association depends critically on filter consistency, this issue is very important. Following this, it is shown that a suitably corrected conversion (CM2) eliminates the inconsistency. Then, initialized with the converted measurements (using CM2), four Cartesian filters are evaluated. It is shown that, among these filters, the converted measurement Kalman filter with second order Taylor expansion (CM2KF) is the only one that is consistent for very long range tracking scenarios. Another two approaches, the range-direction-cosine extended Kalman filter (ruvEKF) and the unscented Kalman filter (UKF) are also evaluated and shown to suffer from consistency problems. However, the CM2KF has the disadvantage of reduced accuracy in the range direction. To fix this problem, a consistency-based modification for the standard extended Kalman filter (E1KF) is proposed. This leads to a new filtering approach, designated as measurement covariance adaptive extended Kalman filter (MCAEKF). For very long range tracking scenarios, the MCAEKF is shown to produce consistent filtering results and be able to avoid the loss of accuracy in the range direction. It is also shown that the MCAEKF meets the posterior Carmer-Rao lower bound for the scenarios considered.
Object Tracking of Mobile Robot Using Moving Color and Shape Information for the Aged Walking

A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in an environment, and show object avoiding and tracking methods necessary for providing diverse services desired by the people. To avoid obstacles (objects), active sensors such as infrared rays sensors and supersonic waves sensors are employed together and measures the range in real time between the obstacles and the robot. We focus on how to track a object well because it gives robots the ability of working for human. This paper suggests effective visual tracking system for moving objects with specified color and motion information. The proposed tracking system includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Active contour information and shape energy function are used to exactly tract the objects with shape changes. Finally, real time mobile robot avoiding and tracking objects is implemented.