Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Collaboratives for Improving Patient Care

• Objective: To describe a quality improvement process. • Setting: A large, diverse health system. • Improvement process: The Clinical Collaborative model involves identifying improvement goals in specific clinical areas, comparing the system’s performance with benchmarks, and rapidly implementing process changes designed to improve performance. After the topic is selected, there are 3 phases: prework, active phase, and continuous improvement. In the active phase, improvement teams attend learning sessions and work with coaches to develop action plans. Teams participate on conference calls and listservs to share ideas, obstacles, and successes. The continuous improvement phase is designed to maintain gains realized during the active phase and identify new opportunities for improvement. • Results: Collaboratives on improving secondary prevention of ischemic heart disease, improving treatment of congestive heart failure, and achieving exceptional safety in health care are in the process of meeting goals or have met them. Lessons learned include involve the right people, obtain leadership support, be inventive, and provide a nonpunitive environment. • Conclusion: The Clinical Collaborative process has made significant progress toward improving outcomes and creating a safer environment for patient care.
Dynamic Modeling of AFM Cantilever Probe Under Base Excitation system

Atomic force microscopy (AFM) can be used for atomic and nanoscale surface characterization in both air and liquid environments. AFM is basically used to measure the mechanical, chemical and biological properties of the sample under investigation. AFM contains basically a base-excited microcantilever with nano tip along with a sensing circuit for scanning of images. Design and analysis of this microcantilevers is a challenging task in real time practice. In the present work, design and dynamic analysis of rectangular microcantilevers in tapping mode with tip-mass effect is considered. Computer simulations are performed with both lumped-parameter and distributed parameter models. The interatomic forces between the nano tip mass and substrate surfaces are treated using Lennard Jones (LJ) model and DMT model. The equations of motion are derived for both one-degree of freedom lumped parameter model with squeeze-film damping and distributed parameter model under the harmonic base excitation. Also the nonlinearity of the cantilever is investigated by considering cubic stiffness. The distributed parameter model is simplified with one mode approximation using Galerkin’s scheme. The resulting nonlinear dynamic equations are solved using in numerical Runge-Kutta method using a MATLAB program. The natural frequencies of the microcantilever and dynamic response are obtained. Dynamic stability issues are studied using phase diagrams and frequency responses. An experimental work is carried out to understand the variations in dynamic characteristics of a chromium plated steel microcantilever specimen fabricated using wire-cut EDM process. An electrodynamic exciter is attached at the cantilever base and laser Doppler Vibrometer (LDV) is used to provide sensing signal at the oscilloscope. The sine sweep excitation is provided by a signal generator and power amplifier set-up. The frequency response obtained manually is used to arrive-at the natural frequencies and damping factors.
Post–Sirolimus-Eluting Stent Restenosis Treated With Repeat Percutaneous Intervention: Late Angiographic and Clinical Outcomes

Background—We evaluated the clinical and angiographic outcomes of patients presenting with restenosis after sirolimus-eluting stent (SES) implantation treated with repeated percutaneous intervention. Methods and Results—A total of 24 consecutive patients have undergone repeated percutaneous intervention to treat post-SES restenosis (27 lesions). The restenosis was located within the stent in 93% of lesions. From the 27 lesions, 1 (4%) was re-treated with a bare stent, 3 (11%) were treated with balloon dilatation, and the remaining 23 lesions (85%) were treated with repeated drug-eluting stent implantation (SES in 12 lesions [44%], paclitaxel-eluting stents in 11 lesions [41%]). The event-free survival rate was 70.8% after a median follow-up of 279 days from the post-SES treatment. The overall recurrent restenosis rate was 42.9%. The risk of recurrent restenosis was increased for patients with hypercholesterolemia, previous angioplasty, failed brachytherapy, post-SES restenosis needing early (<6 months) treatment, and post-SES restenosis treated with balloon dilatation. The recurrent restenosis rate of originally de novo lesions re-treated with drug-eluting stents was 18.2%. Conclusions—Even though de novo lesions treated with SES at baseline and re-treated with drug-eluting stents had reasonably better outcomes than other lesion types and strategies, our study shows that the treatment of post-SES restenosis is currently suboptimal and warrants further investigation.
Life pattern sensor with non-intrusive appliance monitoring

This paper presents a life pattern sensor with a new residents' behavior monitoring method for a health care system. The life pattern sensor detects operations of appliances from electrical current generated by their operating, and identifies patterns of daily residents' behavior based on the correlation of operating appliances. The sensor reduces the system cost by avoiding installation of massive sensor nodes and keeps residents' privacy without intrusion of the house, in comparison with legacy systems like the video-based health care system. The sensor is implemented by utilizing an algorithm with the wavelet transform method and installed in five real houses for a couple of weeks. Accuracy of the identifying appliance detection and the result of the life pattern estimation were evaluated through the field test.
A study on scattering characteristics of non-spherical precipitation particles at visible wavelengths

Based on the approximate ellipsoid model of raindrops and three types of ice crystals, the scattering phase function and degree of linear polarization at visible wavelengths are calculated by using Ray-tracing method, the effect of shape and axis ratio on scattering characteristic are discussed. The results show that the shape of raindrops has some certain effect on scattering phase function and linear polarization, which increases with the raindrops get bigger; the shape and axis ratio of ice crystals has different effect on scattering phase function and degree of linear polarization, by comparison, the axis ratio of ellipsoid crystals have greater effect on scattering characteristic than that of cylinder and hexagon crystals. These results can be benefit to improve the accuracy of precipitation detection by remote sensing.
Intensive care course and outcome of patients infected with respiratory syncytial virus

PICU admissions of 97 children positive for respiratory syncytial virus on fluorescent antibody screening were reviewed; 68% of 44 patients without history of preceding disease (Group I) and 79% of 53 patients with preceding pulmonary, cardiac, or other disease (Group II) required ventilation. In Group I ventilated children weighed significantly less (P = 0.001) and were of lower chronological (P = 0.02) and post‐conceptional ages (P = 0.02) than those not ventilated. Eighteen infants ventilated for apnea weighed significantly less (P = 0.003), were more often born at ≦37 weeks gestation (P = 0.001) and were at lower post‐conceptional age than 11 infants ventilated for progressive respiratory deterioration. There was no significant difference in mean weight, chronological age, post‐conceptional age, CO2, or pH between 12 admissions with BPD who required ventilation for RSV infection and 5 who did not require ventilation. Ribavirin administration to five ventilated patients with BPD did not significantly alter the duration of intubation or PICU stay. Six patients with cardiac disease required longer periods of ventilation than others (Group I, P = 0.001; all others in Group II, P = 0.04). No deaths occurred in Group I, while 6 of 53 (11%) patients in Group II died. In this series immuno compromise placed patients at greatest risk of dying. Mechanical ventilation can be safely managed in previously healthy, RSV infected infants and should be initiated before significant cardiorespiratory compromise arises. © 1992 Wiley‐Liss, Inc.
Epileptic Seizure Detection Using Neural Fuzzy Networks

The electroencephalogram (EEG) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about its state. However, the human observer cannot directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the EEG signal parameters, extracted and analyzed using computers, are highly useful in diagnosis. The aim of this work is to compare the different classifiers when applied to EEG data from normal and epileptic subjects. For this purpose an adaptive neural fuzzy network (ANFN) to classify normal and epileptic EEG signals is proposed. The results are compared with other classifiers such as SVM (support vector machine), ANFIS and FBNN (feed forward back-propagation neural network). It is shown that a classification accuracy of about 85.9% can be achieved using ANFN.
An Educational Partnership Program with Minority Serving Institutions: A Framework for Producing Minority Scientists in NOAA-Related Disciplines

An effective partnership with Minority Serving Institutions (MSI) has been established with the U.S. Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA). Building on a commitment to increase research collaboration with MSIs, a collaborative program developed by NOAA and its MSI partners has led to a significant increase in the education and graduation of students from underrepresented communities in science, technology, engineering and mathematics (STEM) that support NOAA's mission. NOAA's Educational Partnership Program (EPP) with Minority Serving Institutions (MSI) was established in 2001 with a primary goal to increase individuals trained in STEM fields from which NOAA may select its future workforce. The program uses the National Science Foundation (NSF) data and internally developed performance metrics to illustrate a measurable impact on national statistics. To date, over 900 undergraduate and graduate students have benefited directly from educational and research experiences through the EPP and over 340 secondary (middle school and high school) students have participated in EPP activities designed to encourage students to pursue degrees in STEM fields. The EPP framework demonstrates that an effective partnership, with best practices, and concrete examples of success is available as a template for institutions and agencies working to replicate these successes.
Cognitive resource manager framework for optimal resource allocation

Wireless networks are under constant pressure to provide ever higher data rates to increasing numbers of users with greater reliability. At the same time they are becoming more complex and challenging to manage. Great efforts are being done to make the wireless devices and networks adaptive and self-optimizing in order to more efficiently use the resources and deliver good quality services. High spectral efficiency, environmental adaptivity, user-awareness and energy efficiency are highly desired features in the future networks. It has also become important to support these goals at all OSI-layers in a cross-layer manner. Making the wireless systems smarter has been a matter of research under the cognitive radio (CR) paradigm for ten years now. While CR is a very interdisciplinary and wide topic, including dynamic spectrum access and policies, flexible system architectures, learning, context awareness, cooperative networking, etc., most of the contributions so far have been limited to novel spectrum access approaches and spectrum sensing techniques. Mitola’s original vision on context-sensitive smart radios was a precursor, but the current work has been still lacking precise proposal beyond high-level arguments. In this thesis we study the cognitive radios from a system point of view focusing closely on architectures, techniques and algorithms that can enable intelligent operations. We propose a modular cognitive resource manager (CRM) framework, which can facilitate a development of complex control and optimization techniques for resource management in wireless networks on diverse radio environments and problem scenarios. This work contributes towards bringing cognitive radio a step closer to practical implementation by conducting both theoretical and experimental studies of suitable optimization methods and algorithms under the proposed CRM framework. We study in this thesis automatic and adaptive system configuration mechanisms for different resource allocation problems. As most of the problems have heavy optimization phase and often exhibit complex and non-linear parameter dependencies we have studied the use of heuristic algorithms. Genetic algorithm optimizer for PHY and MAC parameter selection has been developed and tested. For autonomous channel allocation we have studied two different classes of algorithms. An approximative coloring algorithm and a corresponding protocol were designed and successfully implemented to minimize the interference in wireless local area networks. An evolutionary game theory method based on balls and bins problem was subsequently developed to jointly address channel allocation and load balancing problems. Finally, the work in this thesis concludes by applying Minority Games to medium access control problem in order to enable self-organization without information exchange overhead.
Continued Fraction Absorbing Boundary Conditions for Transient Elastic Wave Propagation Modeling

This paper presents a novel absorbing boundary condition (ABC) that can accurately simulate elastic wave absorption into unbounded exteriors that are often encountered in problems related to seismology and soil-structure interaction. By linking the material-damping ABCs (the perfectly matched layers) with differential-equation-based ABCs, the paper draws on their respective advantages and presents an ABC named the continued fraction ABC (CFABC). The CFABC is highly efficient and appears to be the first ABC applicable for polygonal computational domains. Representative numerical examples are presented to illustrate the effectiveness of the proposed ABCs.
Vienna International Symposium--tissue adhesives in surgery.

A SYMPOSIUM on tissue adhesives in surgery was held at the Hotel Vienna Intercontinental, Vienna, on Sept 1 and 2, 1967. The symposium was organized by Prof R. Gottlob, Department of Experimental Surgery, University Clinic, Vienna. The purpose of this report is to summarize the general knowledge of the papers and comments presented by investigators from various countries with particular interest in the field of general surgery. Only the names of the first authors are used. Coauthors' names are not referred to in this paper. General Different adhesives were discussed in this meeting: epoxide, polyurethane, resorcin-gelatin-adhesive, and cyanoacrylate tissue adhesives. Cooper (United States), Lemperle (Germany), and Richling (Austria) reported on using gelatin with resorcin added as a polymerizing agent. They independently used this material experimentally in bonding of wounds of the skin in rats and injuries to livers, kidneys, and small blood vessels. This substance successfully bonded tissues and effected
Microfibril-associated Glycoprotein-2 (MAGP-2) Is Specifically Associated with Fibrillin-containing Microfibrils but Exhibits More Restricted Patterns of Tissue Localization and Developmental Expression Than Its Structural Relative MAGP-1

SUMMARY We developed an affinity-purified anti-MAGP-2 peptide antibody that specifically identified MAGP-2 on Western blots of purified matrix proteins and extracts of nuchal ligament. Immunolocalization studies on tissues from a 210-day-old fetus and a mature bovine showed that MAGP-2 was located in similar regions to MAGP-1 and fibrillin-1 but that the distribution of MAGP-2 was more restricted. In fetal nuchal ligament, skeletal muscle, and spleen the distribution of MAGP-2 was indistinguishable from that of MAGP-1. In contrast to MAGP-1, MAGP-2 was not detected in the medial layer of fetal thoracic aorta and in much of the peritubular matrix of fetal and mature kidney and in the mature ocular zonule. Some differences in the immunolocalization patterns were also evident in fetal lung, cartilage, skin, and heart. Immunoelectron microscopy confirmed that MAGP-2 was specifically associated with fibrillin-containing microfibrils in nuchal ligament, dermis, adventitia of aorta, glomerular mesangium and perimysium. Northern blotting of RNA from tissues of a 210-day-old fetus indicated that steady-state MAGP-2 mRNA levels were highest in nuchal ligament. Significant expression was also detected in lung, heart, skeletal muscle, skin, and Achilles tendon. The tissue pattern of MAGP-2 expression differed significantly from that of MAGP-1. MAGP-2 expression appeared to be higher in nuchal ligament, heart, and skeletal muscle and lower in aorta and kidney. In nuchal ligament, MAGP-2 mRNA expression appeared to peak around 180 days of fetal development, which correlates with the period of onset of elastinogenesis in this tissue. Overall, the immunolocalization and expression patterns of MAGP-2 appeared to be distinct from those of other microfibrillar components. This is consistent with the view that MAGP-2 plays a unique role in the biology of the microfibrils, perhaps by mediating their interaction with cell surfaces at specific stages of development and differentiation.
A Practical Look at the Lack of Cohesion in Methods Metric

Software metrics for the procedural software development paradigm have been extensively studied. Metrics such as McCabe's cyclomatic complexity metric 1 and Halstead's Software Science metrics 2 are well known and frequently used to measure software complexity in the procedural paradigm. More recently, software metrics that are tailored to the measurement of design complexity in the object-oriented paradigm have been developed. Chidamber and Kemerer proposed a draft suite of software metrics for object-oriented software in 1991 3 that included six object-oriented design metrics based on measurement theory. This suite of metrics included depth of the inheritance tree (DIT), number of children (NOC), coupling between objects (CBO), response for a class (RFC), weighted methods per class (WMC), and lack of cohesion of methods (LCOM). The LCOM metric has been subject to multiple interpretations which can greatly influence the LCOM value derived for a particular class. This article compares and analyzes the definition and implementation variations of the LCOM metric, and provides an assessment of this metric. The multiple definitions of the LCOM metric currently in use include: 1) the original definition of the LCOM metric by Chidamber and Kemerer 3 2) the definition of the LCOM metric provided by Li and Henry 4,5 , 3) the redefinition of the Li and Henry version of the LCOM metric by Hitz and Montazeri 6 , and 4) the redefinition of their original LCOM metric by Chidamber and Kemerer.
Deep convRNN for sentiment parsing of Chinese microblogging texts

Recurrent Neural Networks (RNNs) are naturally applicable to sequential processing and have achieved outstanding performance in analyzing natural language. However, RNN-based sequence labeling methods may encounter some problems, such as word ambiguous and low-fidelity of word segmentation, in sentiment parsing of Chinese microblogging texts because it cannot well grasp local contextual information of words. Therefore, in this work, we propose a novel neural network architecture, named convRNN, for sentiment parsing of Chinese texts. The convRNN combines Convolutional Neural Network (CNN) and RNN to capture the local contextual feature and global sequence feature of words in a sentence. Experimental results demonstrate that extracting local contextual features of words with CNN improves the performance of RNN models. Furthermore, deep convRNNs achieve better performance than shallow models and outperform the RNN-based method substantially.
Expressivity and Complexity of the Grammatical Framework

This thesis investigates the expressive power and parsing complexity of the Grammatical Framework (GF), a formalism originally designed for displaying formal propositions and proofs in natural language. This is done by relating GF with two more well-known grammar formalisms; Generalized Context-Free Grammar (GCFG), best seen as a framework for describing various grammar formalisms; and Parallel Multiple Context-Free Grammar (PMCFG), an instance of GCFG. Since GF is a fairly new theory, some questions about expressivity and parsing complexity have until now not been answered; and these questions are the main focus of this thesis. The main result is that the important subclass context-free GF is equivalent to PMCFG, which has polynomial parsing complexity, and whose expressive power is fairly well known. Furthermore, we give a number of tabular parsing algorithms for PMCFG with polynomial complexity, by extending existing algorithms for context-free grammars. We suggest three possible extensions of GF/PMCFG, and discuss how the expressive power and parsing complexity are influenced. Finally, we discuss the parsing problem for unrestricted GF grammars, which is undecidable in general. We nevertheless describe a procedure for parsing grammars containing higher-order functions and dependent types.
Backstepping Control of Smart Grid-Connected Distributed Photovoltaic Power Supplies for Telecom Equipment

Backstepping controllers are obtained for distributed hybrid photovoltaic (PV) power supplies of telecommunication equipment. Grid-connected PV-based power supply units may contain dc-dc buck-boost converters linked to single-phase inverters. This distributed energy resource operated within the self-consumption concept can aid in the peak-shaving strategy of ac smart grids. New backstepping control laws are obtained for the single-phase inverter and for the buck-boost converter feeding a telecom equipment/battery while sourcing the PV excess power to the smart grid or to grid supply the telecom system. The backstepping approach is robust and able to cope with the grid nonlinearity and uncertainties providing dc input current and voltage controllers for the buck-boost converter to track the PV panel maximum power point, regulating the PV output dc voltage to extract maximum power; unity power factor sinusoidal ac smart grid inverter currents and constant dc-link voltages suited for telecom equipment; and inverter bidirectional power transfer. Experimental results are obtained from a lab setup controlled by one inexpensive dsPIC running the sampling, the backstepping and modulator algorithms. Results show the controllers guarantee maximum power transfer to the telecom equipment/ac grid, ensuring steady dc-link voltage while absorbing/injecting low harmonic distortion current into the smart grid.