Miracle-dz/UniFAR-FTUs huggingface dataset:
Failure to rescue : a descriptive study of the experience of nurses in the intervention for patients at risk in the acute ward setting

The research represented in this thesis describes the experience of nurses in the intervention for patients at risk in the acute ward setting. Specifically, the research focusses on ‘failure to rescue’ as a concept which can, and as this research demonstrates, does, result in adverse patient outcomes. It identifies, describes and analyses four distinct elements of this type of failure in the clinical setting: 1) failure to recognise the level of risk to the patient; 2) failure to respond to the patient’s level of risk; 3) failure to elevate patient risk to ensure an appropriate response; and 4) failure to challenge a perceived risk to patient safety. Through the use of patient stories, which describe the failure of the health care system and nursing staff to consistently and effectively intervene for patients at risk, the experience of nurses is analysed and compared to images of nurses present in the literature. These images are: the nurse as the ‘ministering angel’; the ‘domestic worker’; the ‘doctor’s handmaiden’; the ‘subordinate professional’; and finally the ‘autonomous professional’. The nurses in this research were viewed in these images by the organisation, the doctors and the nurses themselves. These views, and the reality they create, contribute to the inability of nurses to effectively intervene for patients at risk and pose a considerable threat to patient safety. The information gathered in this research describes the nurses’ actions, the nurses’ beliefs and the dissonance between the nurses’ actions and beliefs in relation to the intervention for patients at risk. This research makes it apparent that nurses play a vital and important role in ensuring patient safety through the intervention for patients at risk, but at times this role is neither recognised nor understood by both the health care system and the nurses themselves. The research argues that it is this lack of understanding and recognition which presents significant barriers for nurses to intervene consistently and effectively for patients at risk.
ZumbaÂ®!: An Antidote for Uncontrolled Weight Gain Associated with Polycystic Ovarian Syndrome with Subclinical Hypothyroidism?

Background: Polycystic Ovarian Syndrome (PCOS), a variant of anovulatory cycles, presents with an estrogen dominance with low progesterone, sometimes leading to Subclinical hypothyroidism (SH). This case study is about a 31 year old woman with the inability to conceive, who was diagnosed with PCOS. Since her diagnosis 12 years ago, she has been to many physicians who have been unable to successfully manage her “mystery case”. She currently has all the symptoms of PCOS with weight gain, hirsutism, hyperlipidemia, and Type II Diabetes Mellitus, for which she took Metformin, and could not bear the side effects. Recently, she discovered a goiter in her neck. This case study examines the etiology of PCOS, leading to SH, and the battle with increasing weight loss success. Methods: Laboratory data and logs of weight changes of the subject between years 2007-2013 was utilized. After being diagnosed with PCOS, the patient was prescribed the following regimen: 1) diet, 2) family support 3) OCP, Ca2+, Metformin, Vitamins, fat burners, and colon cleansers 4) moderate- vigorous Physical Activity-Zumba. The subject was reevaluated every three months with a physical exam and hormone lab tests; ELISA for Anti- peroxidase was also performed. Results: Physical exam revealed a goitre, but most recent ELISA test ruled out Hashimoto’s (anti-microsomal antibodies). Estradiol=1.8 pg/mL (N=1.3-2.3), Progesterone=11 pg/mL (N=75-270), Pg/E2 Ratio=6 (Optimal=100-500), Testosterone=17 pg/mL (N=16-55), DHEA Sulfate=287 (N=39-232), Morning Cortisol=3.8 ng/mL (N=3.7-9.5), LDL=118 (N=0-99), Cholesterol=233 (N=0-199), Free T3=2.5 pg/mL (N=2.3-4.2), Free T4=0.91 (N=0.73-1.95), Thyroid peroxidase Ab<1 IU/mL (N<9 IU/mL), and Ultrasensitive TSH=2.810 IU/mL (N=0.500-4.7). The patient lost 83 pounds between 2008-2010 with the original treatment regimen that included 14 prescription drugs. After intervention in 2012 the subject had a 3% decrease in BMI. Conclusion: The study concluded that weight loss success was achieved through the following: 1) moderatevigorous physical activity: High-Impact Zumba, spousal, physician, and family support; self-motivation; selfempowerment; and optimism.
ANÁLISIS MULTIESCALA POR MOLIFICACIÓN DISCRETA PARA LA REDUCCIÓN DE RUIDO EN SEÑALES ECG

Multiscale analysis and computation is a rapidly evolving area of research that have had a fundamental impact on computational science and applied mathematics and have influenced the way we view the relation between mathematics and science. Even though multiscale problems have been longly studied in mathematics, such techniques suffer of the ill-posedness nature of the problem. In the solution of several ill-posed problems, discrete mollification has been used for regularization. In this paper, we propose a new technique (procedure) for multiscale analysis by using discrete mollification. The multiscale scheme is based on numerical linear algebra results combined with the mollification method applied to the Mallat algorithm. The new technique has a simple theory, an efficient implementation and compares fairly well with classical wavelet transform procedures. An application on electrocardiographic signals contaminated with typical non-white noise is considered.
Routine chest physiotherapy is not more effective than usual supportive care in non-ventilated paediatric patients (0 to 24 months) with bronchiolitis: A systematic review

Purpose: To determine the effectiveness of chest physiotherapy (percussion, postural drainage and suctioning) in non-ventilated paediatric bronchiolitis patients aged 0 to 24 months. Background: The field of paediatric cardiopulmonary physiotherapy has a limited evidence base and findings from this study may assist in choosing effective treatment options. Methods: The follow ing databases were reviewed by making use of a specified search strategy: African Health Line, CINAHL, Cochrane, Ebsco-Host, E-theses/dissertations, PEDro, Medline Ovid, Sabine! , Science Direct and Up-To­ Date. Pre-set eligibility criteria were applied to the article title and/or abstract and full-text. Appraisal tools (CASP and PEDro scale) were used to evaluate and score the included studies. A qualitative synthesis was done as a meta­ analysis was not possible. Results: Evidence does not support routine chest physiotherapy in uncomplicated viral bronchiolitis in non-ventilated paediatric patients. Chest physiotherapy does not have a significant influence on various outcomes measures. Conclusion: Routine chest physiotherapy should not be prescribed for non-ventilated paediatric patients with bronchiolitis.
Robust adaptive radar detection in the presence of steering vector mismatches

In this paper, we consider the problem of robust radar detection in the presence of Gaussian disturbance with unknown covariance matrix. We design and assess three new robust adaptive detectors, capable of operating in the presence of unknown discrepancies between the nominal and the actual steering vector. Remarkably the new decision rules exhibit a bounded constant false alarm rate (CFAR) behavior and allow, through the regulation of a design parameter, to trade off target sensitivity with sidelobes energy rejection. Finally, computer simulations show that the proposed detectors achieve a visible performance improvement, in many situations of practical interest, over the traditional adaptive detection algorithms, especially in the presence of severe steering vector mismatches.
GENERALIZATION OF ZAD STRATEGY: AN APPLICATION TO A DC-DC BUCK CONVERTER

The Zero Average Dynamics (ZAD) strategy has been reported in the last decade as an alternative for controlling power converters. This technique has the advantage of guaranteeing fi xed frequency switching. However, the stability of the controller is highly dependent on the load value, and when the stability is lost, the fi xed frequency switching is lost too. In this paper we generalize ZAD strategy using the probabilities framework through the expectation operator. Thus, we recover classical sliding mode control classical ZAD strategy, and new control methods can be defined, which are more stable than the others previously used. For this reason, this technique is entitled Generalized Zero Average Dynamics (GZAD). We will show several simulations regarding an application to a DC-DC Buck converter within the generalized ZAD strategy, which cannot be deduced from the classical ZAD. Numerical simulations show good regulation features and a wide range of stability.
An evaluation of perinatal care offered at Białystok hospitals based on the opinions of postpartum women hospitalized in obstetrical wards

__________________________________________________________________________________________ Introduction: Changes to perinatal care should pertain to respecting the psychological and social value of birth, the promotion of privacy and individuality, increased respect for a woman’s and her husband’s rights to information, and their conscious and active participation during labour and birth, as well as to the promotion of a holistic model of family care during the period of procreation. Purpose: The aim of this study was to evaluate perinatal care offered at Bialystok hospitals, based on the opinions of postpartum women hospitalized in obstetric wards. Materials and methods: The survey was conducted in the obstetric wards of two Bialystok hospitals, using a questionnaire developed solely for the purpose of this study in combination with the questionnaire developed by the Childbirth with Dignity Foundation. Results: This study revealed that, in the opinions of parturient women, the level of the quality of perinatal care is significantly modulated by compliance with the patient’s rights during hospitalization, knowledge about the Patient’s Bill of Rights, the friendliness of medical personnel, the creation of an atmosphere of privacy during hospitalization, the feeling of safety during hospitalization, individuals’ attitudes towards the patient, the implementation of routine procedures, compliance with novel standards of perinatal care and the implementation of these standards in obstetric wards, and the quality of neonatal care. Conclusions: Patient satisfaction is frequently used to evaluate the quality of medical care and to guide the development of health care services. The findings of this study underline the need to further discuss and specify the aims of quality perinatal care. The authors estimate that there are deficiencies in the different services that could be addressed by conducting a multi-professional and interdisciplinary research study.
Patterns of Team Collaboration Employed to Solve Unique Problems

“Macrocognition” is an emerging area of knowledge engineering that focuses on understanding how cognition emerges in natural environments. One goal for studying macrocognition is to understand the complexity entailed in inter- and intra-individual cognition. In this paper we describe our analysis of several complex team collaboration tasks: firefighters from the Fire Department of New York on Sept. 11, 2001, air warfare teams on an Aegis ship, and the team collaboration entailed in conducting Maritime Interdiction Operations. Team communications that transpired during three complex problem solving situations were analyzed to understand how teams collaborate to create new knowledge and decide on a course of action during complex, one-of-a-kind problems. These processes include (1) individual knowledge building, (2) developing knowledge interoperability, (3) team shared understanding, and (4) team consensus. The way the team's cognitive behavior maps to the model is discussed along with differences in patterns of collaboration for different decision-making domains.
Variations inthe Composition of Low-andHigh-Density Lipoproteins dunngthe AcutePhaseof Myocardial Infarction

We analyzed correlationsbetween apolipoproteinB (apo B), cholesteroland phospholipids(preponderantlipids) in lowdensitylipoproteins(LDL) as well as betweenapolipoprotein A1(apoA1)andthese same lipidsin high-densitylipoproteins (HDL), during the acute phase of myocardialinfarction.In LDL, a veryelevated and stablecorrelation(i’) was observed between these parameters,and the coefficients of regression (b) did not differ significantlyduring the period studied. In HDL, there was a decrease in rand b values from day 1 to day 2, then an increase after day 2. We hypothesizethat these disturbancesin HOL compositionmay be due to a greater endocytosis of LDL at day 2, leadingto intracellular increasein cholesteroland phospholipids. Part of these lipids could be taken up by HOL molecules,causing a transient overload. Several studies relative to the acutephase of myocardial infarction (MI) haveindicated changes in lipids and lipoproteins (1-4), particularly in low-density (LDL) and highdensity lipoproteins (HDL). However, to our knowledge, no research has beencarried outonpossibledisturbances in the
Does SNAP Decrease Food Insecurity

Self-selection by more food-needy households into the Supplemental Nutrition Assistance Program (SNAP, formerly called the Food Stamp Program) makes it diffi cult to observe positive effects of the program in survey data. This study investigates self-selection and ameliorative program effects by examining households’ food security month by month for several months prior to initial receipt of SNAP benefi ts and for several months after joining the program.Two-year panels are constructed by matching the same households interviewed in the Current Population Survey Food Security Supplement in 2 consecutive years using data from 2001 to 2006. Food security is observed to deteriorate in the 6 months prior to beginning to receive SNAP benefi ts and to improve shortly after. The results clearly demonstrate the self-selection by households into SNAP at a time when they are more severely food insecure. The results are consistent with a moderate ameliorative effect of SNAP—reducing the prevalence of very low food security among recent entrants by about one-third—although they do not conclusively demonstrate that extent of amelioration.
Cadmium overload and toxicity

Studies suggest that cadmium is associated with several clinical complications, primarily renal dysfunction and bone disease, but also some cancers. Cadmium toxicity has been associated with clinical manifestations at exposure levels that are well below the limits set by the World Health Organization. Here I review the OSCAR study, which demonstrates an association between environmental and occupational cadmium exposure and renal tubular damage, as well as the Cadmibel study, a cross-sectional population study demonstrating an association of cadmium exposure with renal dysfunction. The paper also reviews the association of end-stage renal disease prevalence with occupational and environmental exposure to cadmium in the Swedish population of Kalmar County. Renal tubular damage was shown to develop at levels of exposure much lower than previously thought. Cadmium-induced tubular proteinuria is irreversible, and continued exposure may lead to glomerular damage with decreased glomerular filtration rate. Itai-itai disease in the Jinzu river basin is discussed, as are the implications of low-level cadmium exposure in the PheeCad project. Cadmium accumulates in bone and is associated with osteomalacia and osteoporosis. Other bone-seeking trace elements, such as chromium, lanthanum, strontium and zinc, are of concern because of low level environmental, occupational or clinical exposure. As techniques are perfected for detecting smaller amounts of trace elements in various tissues in the body, investigators are finding that the threshold for toxicity from trace elements is much lower than expected. Further research on cadmium is necessary to reveal the mechanisms of toxicity and true environmental and occupational exposure limits.
Study of the Effect of Garlic on Serum Lipids and Blood Glucose Levels in Type 2 Diabetic Patients

هدیکچ شهاـک تهـج . ددرـگیـم یـقورع یــ بلق ضراوع دیدشت بجوم و هدوب تباید اب هارمه عیاش یاهروتکاف کسیر زا یمدیپیلرپیه : همدقم زا یـیوراد ناـهایگ . دـنراد دوـجو یددـعتم یهایگ و ییایمیش یاهوراد و توافتم ییاذغ یاه میژر ،یمدیپیلرپیه حلاصا و نوخ زکولگ . تسا هتفرگ رارق هجوت دروم نوخراشفو نوخ یاهدیپیل شهاک و تباید لرتنک تهج میدق یاهنامز زا (کیلراگ) ریس هلمج ناراـمیب نوخدنق و مرس یاهدیپیل رب دشابیم روشک رد دوجوم ریس یاههدروآرف زا یعون هک نیسراگ تارثا هعلاطم نیارد: یسررب شور هـک راـمیب 45 دـندوب هدرــ ک هعجارم دزی تباید تاقیقحت زکرم هب هک 2 عون یتباید نارامیب نیب زا . تفرگ رارق یسررب دروم II عون یتباید یزور نیـسراگ صرـق اب نامرد تحت هتفه 4 تدم هب نارامیب نیا . دندش باختنا یفداصت یریگهنومن شور هب دندوب یمدیپیلرپیه هب لاتبم . دمآ تسد هب ریز جیاتن هکدش یریگهزادنا هعلاطم نایاپ رد و عورش ماگنه نارامیب نوخدنق و مرس یاهدیپیل و دنتفرگ رارق ددع هس LDL شهاـکو (p=0.004) رتیل یسد رد مرگ یلیم 18/6 نازیم هب مرس لورتسلک شهاک بجوم یرادینعم تروص هب ریس صرق : جیاتن رد ( p=0.056) HDL شــ یازفاو (p=0.015 ) LDL شهاک ردریس ریثات . دیدرگ ( p=0.001) رتیل یسد رد مرگیلیم 15/7 نازیم هب مرس . دوب نادرم زا رتحضاو نانز ناراـمیب ناـمرد رد (نیـسراگ) ریــ س صرق زا داد داهنشیپ ناوتیم اهدیپیل و نوخ دنق شهاک رد ریس بوخ تارثا هب هجوت اب :یریگ هجیتن . دوش هدافتسا یکمک یوراد کی ناونع هب کیمدیپیلرپیه و یتباید
Apache

The OpenStack ® Word Mark and OpenStack logo are either registered trademarks/service marks or trademarks/service marks of the OpenStack Foundation, in the United States and other countries and are used with the OpenStack Foundation's permission. We are not affiliated with, endorsed or sponsored by the OpenStack Foundation, or the OpenStack community. All other trademarks are the property of their respective owners. Abstract It is easy to install Red Hat Fuse and tailor the installation to a particular environment.
Experimenting with Functional Features of the Object Constraint Language

Although the Object Constraint Language (OCL) was significantly influenced by functional programming languages, most of its interpreters are based on the object-oriented paradigm, providing direct representation for model-oriented features like inheritance. In previous works, we introduced a Haskell-based sandbox providing a functional interpretation of OCL invariants. In this paper, we use this sandbox for experimenting with functional features proposed in the literature for OCL, showing the benefits of a functional interpretation and its limitations.
Learning to Measure: Distance Metric Learning with Structured Sparsity

Many important machine learning and data mining algorithms rely on a measure to provide a notion of distance or dissimilarity. Naive metrics such as the Euclidean distance are incapable of leveraging task-specific information, and consider all features as equal. A learned distance metric can become much more effective by honing in on structure specific to a task. Additionally, it is often extremely desirable for a metric to be sparse, as this vastly increases the ability to interpret or explain the measures produced by the distance metric. In this dissertation, we explore several current problems in distance metric learning and put forth solutions which make use of structured sparsity. The contributions of this dissertation may be broadly divided into two portions. In the first portion (chapter 3) we begin with a classic approach in distance metric learning and address a scenario where distance metric learning is typically inapplicable, i.e., the case of learning on heterogeneous data in a high-dimensional input space. We construct a projection-free distance metric learning algorithm which utilizes structured sparse updates and successfully demonstrate its application to learn a metric with over a billion parameters. The second portion (chapters 4 & 5) of this dissertation focuses on a new and intriguing regression-based approach to distance metric learning. Under this regression approach there are two sets of parameters to learn; those which parameterize the metric, and those defining the so-called “virtual points”. We begin with an exploration of the metric parameterization and develop a structured sparse approach to robustify the metric to noisy, corrupted, or irrelevant data. We then
Reusable Textual Notations for Domain-Specific Languages

Domain-specific languages enable concise and precise formalization of domain concepts and promote direct employment by domain experts. Therefore, syntactic constructs are introduced to empower users to associate concepts and relationships with visual textual symbols. Model-based language engineering facilitates the description of concepts and relationships in an abstract manner. However, concrete representations are commonly attached to abstract domain representations, such as annotations in metamodels, or directly encoded into language grammar and thus introduce redundancy betweenmetamodel elements and grammar elements. In this work we propose an approach that enables autonomous development and maintenance of domain concepts and textual language notations in a distinctive and metamodel-agnostic manner by employing style models containing grammar rule templates and injection-based property selection. We provide an implementation and showcase the proposed notationspecification language in a comparison with state of the art practices during the creation of notations for an executable domain-specific modeling language based on the Eclipse Modeling Framework and Xtext.
Tegra: Efficient Ad-Hoc Analytics on Time-Evolving Graphs

Several emerging evolving graph application workloads demand support for efficient ad-hoc analytics—the ability to perform ad-hoc queries on arbitrary time windows of the graph. Existing systems face limitations when used for such tasks. We present Tegra, a system that enables efficient adhoc window operations on evolving graphs. Tegra enables efficient access to the state of the graph at arbitrary windows, and significantly accelerates ad-hoc window queries by using a compact in-memory representation for both graph and intermediate computation state. For this, it leverages persistent datastructures to build a versioned, distributed graph state store, and couples it with an incremental computation model which can leverage these compact states. For users, it exposes these compact states using Timelapse, a natural abstraction. We extensively evaluate Tegra against existing evolving graph analysis techniques, and show that it significantly outperforms other systems (by up to 30×) for ad-hoc window operation workloads.
Smoking as a risk factor for physical impairment: a systematic review and meta-analysis of 18 cohort studies

Abstract Smoking has various negative effects on diseases and disabilities. The authors examined the relationships between smoking and physical impairments in this meta-analysis. Two databases including PubMed, Scopus, and two gray literature databases including Google Scholar and Research Gate were searched systematically using Mesh keywords. After reviewing the studies, 18 Prospective cohort studies were selected based on criteria. Risk Ratio (RR) of physical impairment as outcome of smoking and subgroup analysis based on gender, adjusted quality, geographic location and smoking status were done using random effects. Publication bias was calculated as well. The results showed that the risk of physical impairment in smokers is equal to RR = 1.26 and CI = 1.16–1.36 (P = <001). In women, RR = 1.19 and CI = 0.80–1.75 (P = 0.388); and in men, RR = 1.87 and CI = 1.31–2.68 (P = <001) were achieved. Some evidences of publication bias were found. Smoking increases the risk of physical impairment. Men are at a greater risk of physical impairment; perhaps because the prevalence of smoking in men is higher than women.