A Definition of the Chidamber and Kemerer Metrics suite for UML. Technical Report NUIM-CS-TR-2006-03

Since there is no standard formalism for defining software metrics, many of the measures that exist have some ambiguity in their definitions which hinders their comparison and implementation. We address this problem by presenting an approach for defining software metrics. This approach is based on expressing the measures as Object Constraint Language queries over a language metamodel. To illustrate the approach, we specify how the Chidamber and Kemerer metrics suite can be measured from Unified Modelling Language class diagrams by presenting formal definitions for these metrics using the Unified Modelling Language 2.0 metamodel

Using Classroom Response Technology To Create An Active Learning Environment In Marketing Classes

Classroom response systems (CRS), also called student/audience response systems or clickers, have been used by business instructors, particularly in larger classes, to allow instructors to ask students questions in class and have their responses immediately tabulated and reported electronically. While clickers have typically been used to measure attendance, gauge comprehension and test students, we propose that classroom response systems can also be used to effectively create an active learning environment. Specifically we detail the use of classroom response systems to utilize active learning in large classes (i.e., more than 70 students) through describing five sample CRS exercises in Marketing courses: Sequential Elimination, Why Do You Think That?, Experiential Exercises, What Would You Do?, and Forced Choice. These exercises though, could be adapted for use in other business classes

Some observations on the application of software metrics to UML models

In this position paper we discuss some of the existing work on applying metrics to UML models, present some of our own work in this area, and specify some topics for future research that we regard as important

Towards the re-usability of software metric definitions at the meta level

A large number of metrics for evaluating the quality of software have been proposed in the literature. However, there is no standard terminology or formalism for defining metrics and consequently many of the metrics proposed have some ambiguity in their definitions. This hampers the empirical validation of these metrics. To address this problem, we generalise an existing approach to defining metrics that is based on the Object Constraint Language and the Unified Modelling Language metamodel. We have developed a prototype tool called DMML (Defining Metrics at the Meta Level) that supports this approach and we present details of this tool. To illustrate the approach, we present formal definitions for the Chidamber and Kemerer metrics suite

Towards the re-usability of software metric definitions at the meta level

A large number of metrics for evaluating the quality of software have been proposed in the literature. However, there is no standard terminology or formalism for defining metrics and consequently many of the metrics proposed have some ambiguity in their definitions. This hampers the empirical validation of these metrics. To address this problem, we generalise an existing approach to defining metrics that is based on the Object Constraint Language and the Unified Modelling Language metamodel. We have developed a prototype tool called DMML (Defining Metrics at the Meta Level) that supports this approach and we present details of this tool. To illustrate the approach, we present formal definitions for the Chidamber and Kemerer metrics suite

Evaluating Joseph Campbell\u27s Underexplored Ideas In the Light of Modern Psychology

Joseph Campbell was a scholar of mythology and comparative religion who attained great popularity by promoting the value of mythology in people\u27s lives. Interestingly, he attained this status even though there was little scientific evidence for his ideas. In recent years, researchers have begun to evaluate Campbell\u27s ideas in rigorous, empirical ways, with most of this research being focused on the implications of the hero\u27s journey. There are still a number of Campbell\u27s psychology-related ideas, however, that have not been evaluated scientifically. These are the ideas we evaluated in this paper. Because we focused on the underexplored ideas, we could find no research directly assessing them. So, we evaluated them indirectly, using research that seemed relevant but that was conducted for independent reasons. This evaluation led us to conclude that Campbell was right in many of his psychology-related ideas, and that researchers could benefit if they took these ideas seriously and incorporated them into their research and theorizin

Untargeted analysis of the airway proteomes of children with respiratory infections using mass spectrometry based proteomics

The upper airway – which consists mainly of the naso- and oro-pharynx - is the first point of contact between the respiratory system and microbial organisms that are ubiquitous in the environment. It has evolved highly specialised functions to address these constant threats whilst facilitating seamless respiratory exchange with the lower respiratory tract. Dysregulation of its critical homeostatic and defence functions can lead to ingress of pathogens into the lower respiratory tract, potentially leading to serious illness. Systems-wide proteomic tools may facilitate a better understanding of mechanisms in the upper airways in health and disease. In this study, we aimed to develop a mass spectrometry based proteomics method for characterizing the upper airways proteome. Naso- and oropharyngeal swab samples used in all our experiments had been eluted in the Universal Transport Media (UTM) containing significantly high levels of bovine serum albumin. Our proteomic experiments tested the optimal approach to characterize airway proteome on swab samples eluted in UTM based on the number of proteins identified without BSA depletion (Total proteome: Protocol A) and with its depletion using a commercial kit; Allprep, Qiagen (cellular proteome: Protocol B, Ci, and Cii). Observations and lessons drawn from protocol A, fed into the design and implementation of protocol B, and from B to protocol Ci and finally Cii. Label free proteome quantification was used in Protocol A (n = 6) and B (n = 4) while commercial TMT 10plex reagents were used for protocols Ci and ii (n = 83). Protocols Ci and ii were carried out under similar conditions except for the elution gradient: 3 h and 6 h respectively. Swab samples tested in this study were from infants and children with and without upper respiratory tract infections from Kilifi County Hospital on the Kenyan Coast. Protocol A had the least number of proteins identified (215) while B produced the highest number of protein identifications (2396). When Protocol B was modified through sample multiplexing with TMT to enable higher throughput (Protocol Ci), the number of protein identified reduced to 1432. Modification of protocol Ci by increasing the peptide elution time generated Protocol Cii that substantially increased the number of proteins identified to 1875. The coefficient of variation among the TMT runs in Protocol Cii was <20%. There was substantial overlap in the identity of proteins using the four protocols. Our method was were able to identify marker proteins characteristically expressed in the upper airway. We found high expression levels of signature nasopharyngeal and oral proteins, including BPIFA1/2 and AMY1A, as well as a high abundance of proteins related to innate and adaptive immune function in the upper airway. We have developed a sensitive systems-level proteomic assay for the systematic quantification of naso-oro-pharyngeal proteins. The assay will advance mechanistic studies of respiratory pathology, by providing an untargeted and hypothesis-free approach of examining the airway proteome

Demonstration of safety of intravenous immunoglobulin in geriatric patients in a long-term, placebo-controlled study of Alzheimer's disease.

INTRODUCTION:We present safety results from a study of Gammagard Liquid intravenous immunoglobulin (IGIV) in patients with probable Alzheimer's disease. METHODS:This was a placebo-controlled double-blind study. Subjects were randomized to 400 mg/kg (n = 127), 200 mg/kg (n = 135) IGIV, or to 0.25% human albumin (n = 121) administered every 2 weeks ± 7 days for 18 months. RESULTS:Elevated risk ratios of IGIV versus placebo included chills (3.85) in 9.5% of IGIV-treated subjects (all doses), compared to 2.5% of placebo-treated subjects, and rash (3.08) in 15.3% of IGIV-treated subjects versus 5.0% of subjects treated with placebo. Subjects in the highest IGIV dose group had the lowest proportion of SAEs considered related to product (2 of 127 [1.6%]). Subjects treated with IGIV experienced a lower rate of respiratory and all other infections compared to placebo. DISCUSSION:IGIV-treated subjects did not experience higher rates of renal failure, lung injury, or thrombotic events than the placebo group. There were no unexpected safety findings. IGIV was well tolerated throughout 18 months of treatment in subjects aged 50-89 years

Whole-genome sequence analysis shows that two endemic species of North American wolf are admixtures of the coyote and gray wolf.

Protection of populations comprising admixed genomes is a challenge under the Endangered Species Act (ESA), which is regarded as the most powerful species protection legislation ever passed in the United States but lacks specific provisions for hybrids. The eastern wolf is a newly recognized wolf-like species that is highly admixed and inhabits the Great Lakes and eastern United States, a region previously thought to be included in the geographic range of only the gray wolf. The U.S. Fish and Wildlife Service has argued that the presence of the eastern wolf, rather than the gray wolf, in this area is grounds for removing ESA protection (delisting) from the gray wolf across its geographic range. In contrast, the red wolf from the southeastern United States was one of the first species protected under the ESA and was protected despite admixture with coyotes. We use whole-genome sequence data to demonstrate a lack of unique ancestry in eastern and red wolves that would not be expected if they represented long divergent North American lineages. These results suggest that arguments for delisting the gray wolf are not valid. Our findings demonstrate how a strict designation of a species under the ESA that does not consider admixture can threaten the protection of endangered entities. We argue for a more balanced approach that focuses on the ecological context of admixture and allows for evolutionary processes to potentially restore historical patterns of genetic variation

Automated Ecological Assessment of Physical Activity: Advancing Direct Observation.

Technological advances provide opportunities for automating direct observations of physical activity, which allow for continuous monitoring and feedback. This pilot study evaluated the initial validity of computer vision algorithms for ecological assessment of physical activity. The sample comprised 6630 seconds per camera (three cameras in total) of video capturing up to nine participants engaged in sitting, standing, walking, and jogging in an open outdoor space while wearing accelerometers. Computer vision algorithms were developed to assess the number and proportion of people in sedentary, light, moderate, and vigorous activity, and group-based metabolic equivalents of tasks (MET)-minutes. Means and standard deviations (SD) of bias/difference values, and intraclass correlation coefficients (ICC) assessed the criterion validity compared to accelerometry separately for each camera. The number and proportion of participants sedentary and in moderate-to-vigorous physical activity (MVPA) had small biases (within 20% of the criterion mean) and the ICCs were excellent (0.82-0.98). Total MET-minutes were slightly underestimated by 9.3-17.1% and the ICCs were good (0.68-0.79). The standard deviations of the bias estimates were moderate-to-large relative to the means. The computer vision algorithms appeared to have acceptable sample-level validity (i.e., across a sample of time intervals) and are promising for automated ecological assessment of activity in open outdoor settings, but further development and testing is needed before such tools can be used in a diverse range of settings