Global trends in disability rehabilitation and their implications for leprosy programmes

[Excerpt] Globally, the disability rehabilitation scenario today is at an exciting stage. After many years of effort, the International Convention on Rights of Persons with Disability is in sight, a major step forward, and binding on governments to protect the rights of their disabled citizens. At the regional level, the Asian and Pacific Decade of Disabled Persons (1993–2002) is extended from 2003 to 2012, and the Biwako Millenium Framework promoted by the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) is being followed in the Asian region for programmes for people with disability. The period 2000–2009 was formally proclaimed the African Decade of Disabled Persons in June 2002. The African Decade seeks to replicate the practices of the Asian and Pacific Decade. The Arab Decade of Disabled People was launched in 2004. The Decade of Disabled Persons in the Americas was launched in 2006. All these international statements focus on rights and inclusion of people with disabilities. To gain a better understanding of the current scenario and their implications for leprosy rehabilitation programmes, a brief summary of the Biwako Millenium Framework of the Asian and Pacific Decade1 is given below

Microhabitat distribution and demography of two Florida scrub endemic plants with comparisons to their habitat-generalist congeners

I evaluated hypotheses regarding the nature of habitat specialization by comparing the microhabitat distribution and demography of L. cernua and P. basiramia, two Florida rosemary scrub habitat specialist species, with their habitat generalist congeners, L. deckertii and P. robusta. Specifically, I addressed the following two hypotheses: (1) that habitat specialist species may occur in a narrower range of microhabitat conditions than habitat generalist species, and (2) that demographic parameters of habitat specialist species may be more variable than those of their habitat generalist congeners. For each pair of congeners, I compared the microhabitat distributions, variation in vital rates and population growth rates, and extinction probabilities under different climate regimes to evaluate these hypotheses. Both rosemary scrub specialist species occurred in a narrower range of bare sand microhabitat conditions than their habitat generalist congeners. Rosemary scrub specialists were significantly more likely to occur in sites with high percentage bare sand, whereas microhabitats of generalists were more variable with respect to percentage bare sand. Recruitment and survival rates of both rosemary scrub specialist species were more temporally variable than those of their habitat generalist congeners; however, plant growth rates of rosemary scrub specialist species were less variable than those of their generalist congeners. Rosemary scrub specialist species also exhibited greater temporal variation in population growth rates than their habitat generalist congeners. Both rosemary scrub specialist species had higher probabilities of quasi-extinction than their generalist congeners under every climate modeling scenario. The narrower microhabitat requirements and greater temporal variability of demographic parameters of L. cernua and P. basiramia distinguish them from their habitat generalist congeners. The restriction of P. basiramia and L. cernua to microhabitats with high percentage bare sand may limit their distribution to rosemary scrub habitat. Greater temporal variability in recruitment, survival, and population growth rates in L. cernua and P. basiramia may be associated with specialization on a narrower range of environmental conditions in these rosemary scrub specialist species. Greater temporal variability of demographic parameters in these rosemary scrub specialist species may make them more vulnerable to extinction than could be predicted solely from availability of suitable rosemary scrub habitat

Optimizing Class Access - OwlGo

This is the senior design project for Optimizing Class Access using OwlGo. The researcher examine the Marietta campus of Kennesaw State University, in hopes of improving the assigned class locations for each major

Effect of hydrogen bonding and complexation with metal ions on the fluorescence of luotonin A

Fluorescence characteristics of a biologically active natural alkaloid, luotonin A (LuA), were studied by steady-state and time-resolved spectroscopic methods. The rate constant of the radiationless deactivation from the singlet-excited state diminished by more than one order of magnitude when the solvent polarity was changed from toluene to water. Dual emission was found in polyfluorinated alcohols of large hydrogen bond donating ability due to photoinitiated proton displacement along the hydrogen bond. In CH 2Cl2, LuA produced both 1:1 and 1:2 hydrogen-bonded complexes with hexafluoro-2-propanol (HFIP) in the ground state. Photoexcitation of the 1:2 complex led to protonated LuA, whose fluorescence appeared at a long wavelength. LuA served as a bidentate ligand forming 1:1 complexes with metal ions in acetonitrile. The stability of the complexes diminished in the series of Cd2+ > Zn2+ > Ag+, and upon competitive binding of water to the metal cations. The effect of chelate formation on the fluorescent properties was revealed. © 2013 The Royal Society of Chemistry and Owner Societies

Toward a containerized pipeline for longitudinal analysis of open-source software projects

Trust in open-source software is a cornerstone of scientific progress and a foundation of high-quality public services. Just as standards are integral when judging the efficacy of a novel pharmaceutical compound or determining the spread of a new disease, the software used to make those determinations should be useful, error-free, reliable, performant, and secure. A small bug in an application, library, or framework can lead to economic loss and even loss of life. We rely on software developers to be dynamic and responsive to user review and bug-reporting. Our team developed an open-source modular pipeline to perform empirical investigations of software quality. A key innovation of our approach is to look at projects “from a distance” similar to methods used in climate, e.g. satellite images being used to observe environmental impacts in air quality/rain forests. Instead of looking at language-specific source code features, our pipeline uses a language-agnostic high-level approach to track software quality by focusing on the development process itself, which yields great insight into the processes programmers use to write and maintain their software. Our distributed modular approach to analytics allows the pipeline to be easily extended to support additional metrics in future work. We store extracted data in an embedded SQLite database, which means that analysis can proceed without complex server setup, let alone hosting the software on dedicated servers. Our analytical modules are designed for efficiency, and future runs of our software only collect missing data, supporting the incremental analysis of known, important open-source projects

Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

OBJECTIVES:To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. BACKGROUND:Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. METHODS:Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA), coronary sinus (CS), right ventricular wall (RVW) and left atrial wall (LAW) were annotated as ground truth. The U-net-derived deep learning model was trained, validated and tested in a 70:20:10 split. RESULTS:The dataset comprised 206 patients, with 5.130 billion pixels. Mean age was 59.9 ± 9.4 yrs., and was 42.7% female. An overall median Dice score of 0.820 (0.782, 0.843) was achieved. Median Dice scores for PAA, DA, SVC, IVC, PA, CS, RVW and LAW were 0.969 (0.979, 0.988), 0.953 (0.955, 0.983), 0.937 (0.934, 0.965), 0.903 (0.897, 0.948), 0.775 (0.724, 0.925), 0.720 (0.642, 0.809), 0.685 (0.631, 0.761) and 0.625 (0.596, 0.749) respectively. Apart from the CS, there were no significant differences in performance between sexes or age groups. CONCLUSIONS:An automated deep learning model demonstrated segmentation of multiple cardiovascular structures from CCTA images with reasonable overall accuracy when evaluated on a pixel level

Interplay between Vacuum-Grown Monolayers of Alkylphosphonic Acids and the Performance of Organic Transistors Based on Dinaphtho[2,3-b:2?,3?-f]thieno[3,2-b]thiophene

Monolayers of six alkylphosphonic acids ranging from C8 to C18 were prepared by vacuum evaporation and incorporated into low-voltage organic field-effect transistors based on dinaphtho[2,3-b:2?,3?-f ]thieno[3,2-b]thiophene (DNTT). Similar to solution-assembled monolayers, the molecular order for vacuum-deposited monolayers improved with increasing length of the aliphatic tail. At the same time, Fourier transform infrared (FTIR) measurements suggested lower molecular coverage for longer phosphonic acids. The comparison of FTIR and vibration frequencies calculated by density functional theory indicated that monodentate bonding does not occur for any phosphonic acid. All monolayers exhibited low surface energy of ?17.5 mJ/m2 with a dominating Lifshitz?van der Waals component. Their surface roughness was comparable, while the nanomechanical properties were varied but not correlated to the length of the molecule. However, large improvement in transistor performance was observed with increasing length of the aliphatic tail. Upon going from C8 to C18, the mean threshold voltage decreased from ?1.37 to ?1.24 V, the field-effect mobility increased from 0.03 to 0.33 cm2/(V·s), the off-current decreased from ?8 × 10?13 to ?3 × 10?13 A, and for transistors with L = 30 ?m the on-current increased from ?3 × 10?8 to ?2 × 10?6 A, and the on/off-current ratio increased from ?3 × 104 to ?4 × 106. Similarly, transistors with longer phosphonic acids exhibited much better air and bias-stress stability. The achieved transistor performance opens up a completely “dry” fabrication route for ultrathin dielectrics and low-voltage organic transistors

Indacenodibenzothiophenes: Synthesis, Optoelectronic Properties and Materials Applications of Molecules with Strong Antiaromatic Character

Indeno[1,2-b]fluorenes (IFs), while containing 4n π-electrons, are best described as two aromatic benzene rings fused to a weakly paratropic s-indacene core. In this study, we find that replacement of the outer benzene rings of an IF with benzothiophenes allows the antiaromaticity of the central s-indacene to strongly reassert itself. Herein we report a combined synthetic, computational, structural, and materials study of anti- and syn-indacenodibenzothiophenes (IDBTs). We have developed an efficient and scalable synthesis for preparation of a series of aryl- and ethynyl-substituted IDBTs. NICS-XY scans and ACID calculations reveal an increasingly antiaromatic core from [1,2-b]IF to anti-IDBT, with syn-IDBT being nearly as antiaromatic as the parent s-indacene. As an initial evaluation, the intermolecular electronic couplings and electronic band structure of a diethynyl anti-IDBT derivative reveal the potential for hole and/or electron transport. OFETs constructed using this molecule show the highest hole mobilities yet achieved for a fully conjugated IF derivative