Love\u27s Pleading : Ballad

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Outcome Prediction for Unipolar Depression

Although effective drug and non-drug treatment for unipolar depressive illness exist, different individuals respond differently to different treatments. It is not uncommon for a given patient to lw switched several times from one treatment to another until an effective remedy for that particular patient is found. This process is costly in terms of time, money and suffering. It is thus desirable to determine at the outset the likdy response of a patient to the available treatments, so that the optimal one can be selected. Although prior attempts at outcome prediction with linear regression models have failed, recent work on this problem has indicated that the nonlinear predictive techniques of backpropagation and quadratic regression call account for a significant proportion of the variance in the data. The present research applies the nonlinear predictive technique of kernel regression to this problcrn, and employs cross-validation to test the ability of the resulting model to extract, from extremely noisy dinical data, information with predictive value. The importance of comparison with a suitable null hypothesis is illustrated.Office of Naval Research (N00014-95-1-0409

An Atypical Presentation of Raynaud's Disease

Objective: A 57-year-old female with a 33-year history of constant hand discoloration and paronychia had undergone multiple evaluations with a failure to find a diagnosis. She continues to undergo an evolving treatment regimen and diagnostic workup in an effort to find a long-eluded diagnosis. Clinical Presentation: She began to develop superficial ulcerations over the proximal phalanx of her fingers, often pruritic and erythematous, with pain and edema. Intervention: She has since been managed with nifedipine and sildenafil and intermittent stellate ganglion blocks. Conclusion: Despite still lacking a formal diagnosis, her constellation of symptoms is most likely the result of an atypical presentation of Raynaud's disease. (C) 2019 The Author(s) Published by S. Karger AG, Basel.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

UPC++ v1.0 Programmer’s Guide, Revision 2020.3.0

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores

Students’ self-regulation and critical thinking in learning e-commerce through social networking site

This study aims to analyse the effect of social learning environment through Social Networking Site (SNS) towards students’ Self-Regulation (SR), Critical Thinking (CT), and performance in learning E-Commerce subject. Initially, this study has identified the self-regulation and critical thinking levels among students. The study also investigates the relationship between students’ self-regulation, critical thinking skills, and performance when using SNS. Finally, this research has examined how student cultivate self-regulation and critical thinking in learning through SNS. 295 undergraduate students who were taking E-Commerce subjects at a private institution in Kota Kinabalu were selected using cluster random sampling technique. These students were involved in determining their self-regulation and critical thinking level. Next, 50 students were selected purposively to involve in a study in analysing the effects of social learning environment through SNS towards students’ self-regulation, critical thinking, and performance in learning E-Commerce. Self-regulated learning was measured using adopted Online Self-Regulation Learning Questionnaire (OLSQ), while critical thinking was measured using adapted California Critical Thinking Skills Test (CCTST) and academic performance was measured using a question exam paper for the E-Commerce subject. The results obtained from post test reveal that selfregulation, critical thinking level, and performance in learning E-Commerce subject have improved after they went through learning process in social learning environment when using SNS. Pearson correlation analysis reveals that there was no significant relationship between self-regulated learning and critical thinking as well as selfregulated learning and academic performance. However, there was a moderate positive correlation between critical thinking and academic performance. Besides, there was a positive pattern of relationship in the process of identifying student’s self-regulated learning, critical thinking, and academic performance when analysed further using crosstabulation analysis that involved partial data. A data mining analysis using decision tree technique was used to project a predictive model that suggests students’ performance based on the percentage of student’s frequency posting of self-regulation and critical thinking messages throughout the discussion in social networking site. The finding also shows that student’s acquire the ability to cultivate self-regulation and critical thinking based on the discussion with an instructor and peers in social networking site. Results also show that student’s academic performance improves, along with self-regulation and critical thinking

Ecologically Sensitive Wetlands on Maui: Groundwater Protection Strategy for Hawaii

The EPA Ground-Water Protection Strategy has established differential protection levels based on the beneficial uses of groundwaters. Groundwater resources that are: (1) Irreplaceable sources of drinking water; and/or (2) Ecologically Vital are designated as of unusually high value. To determine those groundwaters that meet the EPA criteria for qualifying as “Ecologically Vital” we have examined 24 groundwater based (wetland) ecological systems on the island of Maui. An inventory of the physical, biological and cultural characteristics of each area including “red flag” features has been developed and coded. Using this “habitat code” a rating system that reflects the sensitivity, i.e. “uniqueness” of “nonrenewable” attributes of each system was designed and 18 “ecologically vital” habitats were identified that meet the EPA criteria for Class 1 level of groundwater protection. Insufficient information was available to determine the sensitivity of one of the sites.Department of Health, State of Hawai

Steady-state response of a random dynamical system described with Padé approximants and random eigenmodes

Designing a random dynamical system requires the prediction of the statistics of the response, knowing the random model of the uncertain parameters. Direct Monte Carlo simulation (MCS) is the reference method for propagating uncertainties but its main drawback is the high numerical cost. A surrogate model based on a polynomial chaos expansion (PCE) can be built as an alternative to MCS. However, some previous studies have shown poor convergence properties around the deterministic eigenfrequencies. In this study, an extended Pade approximant approach is proposed not only to accelerate the convergence of the PCE but also to have a better representation of the exact frequency response, which is a rational function of the uncertain parameters. A second approach is based on the random mode expansion of the response, which is widely used for deterministic dynamical systems. A PCE approach is used to calculate the random modes. Both approaches are tested on an example to check their efficiency

UPC++ v1.0 Programmer’s Guide, Revision 2019.9.0

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores

UPC++ v1.0 Specification, Revision 2019.9.0

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied

UPC++: A high-performance communication framework for asynchronous computation

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC). We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x. UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications