Miracle-dz/UniFAR-FTUs huggingface dataset:
Benefits of an implementation of H-P2PSIP

In this paper, we report on the results of experiments with an implementation of H-P2PSIP, which allows the exchange of information among different DHTs (Distributed Hash Tables) making use of a hierarchical architecture. This paper validates our previous H-P2PSIP proposal in an environment with a real TCP/IP stack close to a real scenario. The results show how the benefits of this real H-P2PSIP implementation in terms of routing performance (number of hops), delay and routing state (number of routing entries) are better than a flat DHT overlay network and how the exchange of information among different DHT overlay networks is feasible. Keywords-Hierarchical DHT, P2PSIP, Implementation, Evaluation, Performance.
A matlab/simulink tool for power converters teaching - a power factor correction approach

In this paper, the computer aided teaching of power converter via matlab/simulink mainly concentrated on power factor correction (PFC) topic to satisfy IEC 1000-3-2. Quality improvement of input current to reduce current harmonics is demonstrated. Matlab/simulink satisfied to nonlinear state space models, is used to increase system performances implementing and developing the controller included in toolbox i.e. sliding mode control, fuzzy logic control etc. The teaching module of power converter are classified to 3 topics 1) switching mode rectifier using single switch, 2) single phase AC-DC converter and 3) three phases AC-DC converter. However, with the matlab/simulink application, not only simulation time can be reduced but also convergence problem can be solved.
Analysis of behavioral differentiation in smart cities based on mobile users’ usage detail record data

The expansion of big data has played an important role in the feasibility of the smart city initiative. The massive amounts of data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources. Usage detail records not only include plentiful spatial–temporal information, but also describe users’ activities in content space and time. They have three dimensions of information, which makes them favorable for the research of human behavior dynamics. To support smart cities, we collected usage detail records containing three dimensions of information from individuals and analyzed the relationship between them to get modes of users’ behavior. In this article, we propose a method to discover the needed content for users and a way to provide these data to them. The result shows that two of these three dimensions have an invisible association. New behavioral patterns that we discovered from usage detail records can be derived for configuring resources reasonably and supporting creation of smart cities.
Object detection algorithm for unmanned surface vehicle using faster R-CNN

The purpose of this research is development of vision-based object detection algorithm that recognizes a marine object, localizes the object on captured frames, and estimates the distance to the object. Faster R-CNN and stereo vision based depth estimation are combined for real-time marine object detection. The performance of this algorithm is verified by model ship detection test in towing tank. The test results showed that this algorithm is potentially applicable to real USV.
Etude qualitative sur les causes du premier retard et leur impact sur la morbidité des urgences obstétricales. Le cas des échappées belles du District de Diema (Mali)

Childbirth and its consequences remain a leading cause of disability and death for women in developing countries and the late use of emergency obstetric care during obstetric complications is a challenge in public health. This qualitative study describes the experience of difficult childbirth in Mali, in rural areas. In a context of multiple systems of care, the purpose of this study is first to determine the reasons for the late arrival of women in the health center, to grasp their understanding of the use of health care services, and finally to reconstruct the decision making process to use modern health care. This study is part of an ethnographic approach. Semi-structured interviews and observation of interactions between women and health professionals were conducted. Numerous factors come into play to understand the problem of late use of emergency obstetric care. Exogenous constraints related to the distance and immediacy of the obstetric emergency that is to say the mobilization of resources and means of transport, influence the choice of women to use modern obstetric cares. In the same way, endogenous constraints such as the subordination of women in the family consent, perception of quality of care and skill of caregivers, systematically influence the choice to use modern health care. Collective management of obstetric complications we have observed, occur in a context where the opinion of women is completely minimized.
Skeletonisation as model based feature detection

Two closely related methods for skeletonisation via a Euclidean distance transform are presented. Firstly, from an observation on the response of the human visual system to a grey level image of the transform, convolution with the Marr Hildreth operator is proposed. Secondly, it is suggested that skeletonisation can be performed by convolution of the distance transform with a function designed to detect the occurrence of a specific geometric model or feature, in a way similar to that used in contemporary edge detection algorithms. Examples of the technique are shown and the results discussed. >
Unutarstanični signalni putevi u karcinogenezi kolorektalnog tumora

Colorectal cancer is a common and deadly malignant tumor, with 500 000 new cases detected worldwide each year. Colonoscopy with polipectomy is the golden standard for secondary prevention, with 30-40% colorectal cancer incidence reduction in high-risk population. First efforts in primary prevention with selective non-steroidal anti-inflammatory drugs are discouraged by their unexpected toxicity. Better understanding of intracellular signaling pathways responsible for colorectal cancer carcinogenesis, as reviewed in this article, leads to development of new methods for their selective switch off, and thereby prevention of tumor nascence.
Organization and Financing of Indigent Hospital Care in South Florida

Care for the uninsured is a county responsibility in Florida. Care for the uninsured is a county responsibility in Florida. This report examines the approaches used by three south Florida counties - Broward, Miami-Dade and Palm Beach - to fund care for the indigent and compares their financing mechanisms, types of services provided, patient travel patterns and costs and productivity across hospital ownership and insurance type.
Improving News Traders using CRF: Using Conditional Random Fields to reduce Feature Space

Since financial markets react to news very quickly it is necessary to react even quicker in order to make money. Normal text data has very high dimensionality and reducing the number of features needed to classify a document reduces the time needed to do so. This thesis looks at a way to reduce the feature space by use of Conditional Random Fields. To do this, a new data set is made using mandatory stock messages released to the Oslo Stock Exchange. The messages are combined with financial data on all trades completed in a three-year period. A Conditional Random Field is trained on the textual data and used to extract important features. The features are then used to train a Support Vector Machine classifier and a Random Forest classifier. Both are evaluated against using all features and using randomly selected features. The thesis find that reducing the number of features results in a 4 percentage point reduction in accuracy and a 81,25 reduction in run time. We conclude that it is possible to reduce the feature space without significant reduction in accuracy. We also conclude that using this method is not good enough for making a significant profit on the financial market. This is consistent with earlier work on feature reduction.
Agricultural Hazards Reduction Through Stress Management

ABSTRACT This paper describes a community based program to reduce farm hazards through recognition and training about the role of stress in farm health and safety. Through data from focus groups and a questionnaire administered at the 1993 Agricultural Exposition in Spokane, Washington it was hypothesized that occupational stres-sors are perceived by farmers to be significantly related to farm injuries. Farm-related stressors include economic pressures such as debt burden, weather, undependable farm labor, government regulation, and market variability and costs. A workshop to aid farmers was developed and conducted in Eastern Washington state to provide farmers with information about how stressors may be affecting them and to introduce and encourage interventions that alleviate stress as a potential source of farm injury. A summary of the workshop presentations and a brief analysis of the effectiveness of this intervention program follow. Evaluation data from workshop participants and from random samples .
STABILITAS SISTEM DINAMIK PERTUMBUHAN SEL KANKER DENGAN TERAPI RADIASI

Kanker adalah sebuah penyakit yang diawali dengan pembelahan sel yang tidak terkendali. Sel kanker memiliki kemampuan untuk mengganggu jaringan biologis yang lain. Beberapa cara pengobatan kanker dilakukan dengan cara pembedahan dan terapi, salah satu terapi untuk kanker adalah radioterapi atau terapi radiasi. Penelitian ini terinspirasi oleh Manley (2014). Pada penelitian ini dilakukan rekonstruksi sistem dinamik pertumbuhan sel kanker dengan terapi radiasi, dan dibuat diagram kompartemen yang sesuai dengan sistem. Dilakukan analisis stabilitas sistem dinamik pertumbuhan sel kanker dengan terapi radiasi di sekitar titik kesetimbangan pada sistem. Dengan nilai parameter terapi pada nbsp;nbsp;diperoleh 4 titik kesetimbangan dan titik kesetimbangannbsp; nbsp;stabil dan berjenis node sedangkan titik kesetimbangan nbsp; tidak stabil dan berjenis saddle. Hasil simulasi menunjukkan bahwa pemilihan nilai parameter dapat menghasilkan respon yang lebih baik dari Manley (2014).
Confidence Measures and Integrating Algorithm in Utterance Verification

In this paper, an approach is presented for integrating several confidence measures to verify utterance based on support vector machine (SVM). Segmental filler-based posterior probability parameters and linear predictive coding (LPC) recognition difference measure are derived from the verified utterance. An SVM classifier is trained to integrate several confidence measures to make final decision. Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.
Principles of Real Analysis

The new, third edition of this successful text covers the basic theory of integration in a clear, well-organized manner. The authors present an imaginative and highly practical synthesis of the "Daniell method" and the measure theoretic approach. It is the ideal text for undergraduate and first-year graduate courses in real analysis.
Community, Constituency, and Morbidity: Applying Chervenak and McCullough's Criteria

the pregnant research participant and her fetus(es) as patients, as do Chervenak and McCullough. As presented, Chervenak and McCullough seem to base the move from research subject to patient on their reading of Emanuel and colleagues (2000) and the Belmont Report (National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research 1979) as espousing determination of the “risk–benefit ratio [of clinical research as] clinical judgments about health-related benefits and risks . as if [subjects] were patients” (Chervenak and McCullough 2011, 39). They then assert that clinical investigators have a “fiduciary responsibility to protect research subjects from . net clinical harm. ” While health-related outcomes often drive risk–benefit assessments in research design, these assessments are not based on clinical judgments. Specifically, they are not made with any individual participant’s best interest in mind. Risk–benefit calculations are made—from the investigator’s standpoint—by considering the range of probable outcomes likely to accrue to potential participants and balancing these against the benefit expected from the knowledge to be generated. Furthermore, investigators cannot be said to have a responsibility to protect research participants from net clinical harm—even a relatively harmless blood draw or biopsy, when done exclusively for research purposes, has zero clinical value and may have some risk. Again, the risks associated with clinical research are properly counterbalanced against the social value (to quote Emanuel et al. 2000) of the research, and should be considered in the context of the investigator–participant relationship rather than the physician–patient relationship. Researchers therefore should seek to minimize risk to study participants as a group while creating the generalizable knowledge society values. Our arguments and objections beg the question of how to address situations when physicians do conduct clinical research with their pregnant patients. Without question, the ethical landscape is difficult to navigate in these cases. However, clinicians who conduct research should be aware of and clear about the conflicting obligations brought by their roles as care provider and investigator, and move forward carefully. They should not blur boundaries further by adopting a patient-centric view of clinical research.
Promoting Caring by Increasing Realism in the Simulated Environment

High-fidelity human patient simulators provide students learning opportunities for performing skills, attaining knowledge, critical thinking, and building self-confidence. Absent from this list is the essential component of learning caring in nursing. Simulation-based learning can present a challenge to students learning caring behaviors. The purpose of this paper is to address strategies helpful in creating realistic high-fidelity simulation-based learning experiences promoting learning caring during simulation. Simulation specialists who create a realistic clinical scenario and add the human component to the simulated experience were found to make the simulated environment more realistic and consequently more conducive to learning caring behaviors.
"In Sickness and in Health"

The effects of gender, age, marital satisfaction, and physical impairment on patterns of giving and receiving social support and social undermining (e.g., personal criticism) were examined in two samples totaling 431 older married couples. In the first sample, data were collected from husbands and their wives, half of whom were long-term breast cancer (BC) survivors and half who constituted an a symptomatic, matched control group. The second sample included data from husbands and their wives who had recently been diagnosed to have breast cancer. Wives reported giving more social support to their husbands than they felt they received from them; and they reported giving more support than their husbands reported giving to them. Similarly, husbands reported receiving more social support from their wives than their wives reported receiving from them, except for the group of recently diagnosed BC. Advanced age was correlated with husbands' reports of receiving more social support, and in the two breast cancer groups, of also giving more social support and engaging in less social undermining. It was also found that among the women in the a symptomatic control group, those who were more physically impaired reported both giving and receiving less social support, and this was corroborated by husbands' reports. In contrast, there were no associations between wives' degree of impairment and social support in the two breast cancer groups. The differential effects were hypothesized to result from the husbands' causally attributing their wives' impairment and difficulties to internal characterological factors versus to external ones beyond their control (i.e., the BC disease).
Encyclopedia of medicinal plants

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd the encyclopedia of medicinal plants as the choice of reading, you can find here.
Exercise capacity predicts health status in α1-Antitrypsin deficiency

Resting lung function is only weakly related to health status in chronic obstructive pulmonary disease, reflecting the multifactorial causes of impairment and the heterogeneous nature of the condition. The current study examined whether density mask analysis of high-resolution computed tomography (HRCT) or exercise capacity were better surrogates for health status in a well-defined, homogeneous group of patients with α1-antitrypsin deficiency (PiZ). Twenty-nine patients with predominantly lower zone emphysema on HRCT were studied. Exercise was assessed by incremental treadmill (V˙ o 2 peak) and shuttle walking tests (ISWT) and health status by the St. George's Respiratory Questionnaire (SGRQ) and SF-36. Although lower zone expiratory HRCT was related to exercise capacity (rho = − 0.64 and − 0.63 for V˙ o 2 peak and ISWT, respectively, p < 0.001), multiple regression analysis suggested that FEV1 was a marginally better predictor (rho = − 0.64 and − 0.65, p < 0.001). HRCT also related significantly to healt.
Analysis of Parallel Boyer-Moore String Search Algorithm

Boyer Moore string matching algorithm is one of the famous algorithms used in string search algorithms. Widely, it is used in sequential form which presents good performance. In this paper a parallel implementation of Boyer Moore algorithm is proposed and evaluated. Experimental results show that it is valuable with zero overhead and cost optimal. The comparison between sequential and parallel showed that the parallel implementation was faster and more useful.
Glacial deposit analysis of ERS-1 SAR data in northern Alpine frontland of Munich, Germany

ERS-1 SAR data of the northern Alpine frontland of Munich are assessed for glacial deposit mapping. The texture features of various areal geomorphic units are analyzed using grey level co-occurrence matrix (GLCM). Both image textures and standard statistics have important significance for geomorphic discrimination. A combination of those can improve results. Glacial deposits are interpreted on the image. The results indicate that much information on glacial deposits can be extracted from ERS-1 SAR data. <<ETX>>
Effects of Voicing Similarity Between Consonants in Printed Stimuli in Normal and Dyslexic Readers

Previous studies have shown that adult skilled readers are sensitive to voicing similarity of printed prime-target or target-mask pairs (Bedoin, 1998). In the present consonant detection task, phonetic priming and masking effects were assessed within one briefly presented CVCV printed stimulus. The consonant target (Rank 1 or 2) was either similar or different in voicing to the other consonant. In adult skilled readers and third graders with average reading level, voicing similarity impaired Rank 2 consonant detection and improved Rank 1 consonant detection, replicating effects found with stimuli pairs in previous experiments. These results argue for the involvement of phoneme detectors organised by inhibitory relations based on shared phonetic properties. In dyslexic children, voicing similarity improved Rank 2 target detection, suggesting impaired phonetic organisation of phoneme detectors. After audio-visual training about voicing, this pattern of results was modified in dyslexic children, and became quite similar to skilled readers’ data.
Aplicac¸˜ ao de Teste Estrutural para Composic¸˜ ao de Web Services

ao de Web Services. Abstract. Web Services have been used in several contexts in order to allow the development of loosely coupled applications. To foster the reuse, various Web Services can be combined to create new services by a process named Web Services Composition. Web Services Composition possesses features that make them similar to parallel programs. In this paper, we present the application of a test model for message-passing parallel programs in the context of Web Services Composition testing. 1. Introduc¸˜ ao
THE RISK OF DIABETES: CAN WE IMPACT CHD THROUGH THE ATP III CHOLESTEROL GUIDELINES? *

Diabetes has been recognized among diabetologists as a risk factor for coronary heart disease (CHD) for several years, and is now identified as a CHD risk factor by the Third Adult Treatment Panel (ATP III) of the National Cholesterol Education Program (NCEP). The implementation of these new guidelines into the NCEP ATP III has enlightened the general population of this risk factor and will result in a significant increase in the number of Americans who qualify for aggressive lipid-modifying therapy. The relative risk of CHD is greater in diabetic women than in diabetic men, but the CHD risk in diabetic populations in general is equivalent to CHD risk in nondiabetic populations with a history of CHD. Studies have shown that glycemic control is not sufficient to reduce the risk of CHD in diabetic populations, but it is an important part of the risk reduction plan. Patients with the metabolic syndrome appear to have greater risk for CHD than nondiabetic persons, although the risks are not as high as in diabetic patients. This shows that having several moderate risk factors can be just as detrimental as having a few, severe risk factors. All of the data support aggressive lipid modifications in diabetic patients and clinical trials have shown that the statins, fibrates, and niacin are equally effective in diabetic and nondiabetic populations. (Advanced Studies in Medicine. 2002;2(22):788-793) O
Relationship Between Mixed Chimerism and Acceptance of HLA-matched and -Mismatched Kidney Transplants after Withdrawal of Immunosuppressive Drugs

Stephan Busque, John Scandling, Robert Lowsky, Judith Shizuru, Kent Jensen, Asha Shori, Richard Hoppe, Ed Engleman, Everett Meyer, Samuel Strober Surgery, Stanford University School of Medicine, Stanford, CA, United States; Medicine, Stanford University School of Medicine, Stanford, CA, United States; Radiation Therapy, Stanford University School of Medicine, Stanford, CA, United States; Pathology, Stanford University School of Medicine, Stanford, CA, United States.