cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1038539.v3
title: Study of the effect of nickel heavy metals on some physiological parameters of <i>Catharanthus roseus</i>

description: Plants, in their life cycle, are usually exposed to various kinds of non-biological stresses including heavy metals. One of these heavy metals is nickel which affects many physiological processes of plants. Studies have shown that the changes in planting conditions can affect the qualitative and quantitative features of <i>Catharanthus roseus</i>; therefore, creating stressful conditions (e.g. NiCl<sub>2</sub>) can be an effective way to investigate the changes. In this research, we investigated the effect of 0, 2.5, 5, 10, 25 and 50 mM concentrations of NiCl<sub>2</sub> on the degree of catalase enzyme activity, amount of proline aggregation and photosynthetic parameters on seeds of pink variety <i>of C. roseus</i>. The results indicated that the degree of catalase enzyme activity and the amount of proline aggregation increased in plants which were exposed to NiCl<sub>2</sub> treatments, especially in high concentrations, while the total protein decreased. The stress of Ni also affected photosynthetic parameters, and decreased the amount of pigments, as well as the efficiency of photosystem II.
DOI: 10.6084/m9.figshare.1038539.v2
title: Study of the effect of nickel heavy metals on some physiological parameters of <i>Catharanthus roseus</i>

description: Plants, in their life cycle, are usually exposed to various kinds of non-biological stresses including heavy metals. One of these heavy metals is nickel which affects many physiological processes of plants. Studies have shown that the changes in planting conditions can affect the qualitative and quantitative features of <i>Catharanthus roseus</i>; therefore, creating stressful conditions (e.g. NiCl<sub>2</sub>) can be an effective way to investigate the changes. In this research, we investigated the effect of 0, 2.5, 5, 10, 25 and 50 mM concentrations of NiCl<sub>2</sub> on the degree of catalase enzyme activity, amount of proline aggregation and photosynthetic parameters on seeds of pink variety <i>of C. roseus</i>. The results indicated that the degree of catalase enzyme activity and the amount of proline aggregation increased in plants which were exposed to NiCl<sub>2</sub> treatments, especially in high concentrations, while the total protein decreased. The stress of Ni also affected photosynthetic parameters, and decreased the amount of pigments, as well as the efficiency of photosystem II.
DOI: 10.6084/m9.figshare.1038371
title: The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models

description: In this study, we present a collection of local models, termed geographically weighted (GW) models, which can be found within the <b>GWmodel</b> R package. A GW model suits situations when spatial data are poorly described by the global form, and for some regions the localized fit provides a better description. The approach uses a moving window weighting technique, where a collection of local models are estimated at target locations. Commonly, model parameters or outputs are mapped so that the nature of spatial heterogeneity can be explored and assessed. In particular, we present case studies using: (i) GW summary statistics and a GW principal components analysis; (ii) advanced GW regression fits and diagnostics; (iii) associated Monte Carlo significance tests for non-stationarity; (iv) a GW discriminant analysis; and (v) enhanced kernel bandwidth selection procedures. General Election data-sets from the Republic of Ireland and US are used for demonstration. This study is designed to complement a companion <b>GWmodel</b> study, which focuses on basic and robust GW models.
DOI: 10.6084/m9.figshare.1038371.v1
title: The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models

description: In this study, we present a collection of local models, termed geographically weighted (GW) models, which can be found within the <b>GWmodel</b> R package. A GW model suits situations when spatial data are poorly described by the global form, and for some regions the localized fit provides a better description. The approach uses a moving window weighting technique, where a collection of local models are estimated at target locations. Commonly, model parameters or outputs are mapped so that the nature of spatial heterogeneity can be explored and assessed. In particular, we present case studies using: (i) GW summary statistics and a GW principal components analysis; (ii) advanced GW regression fits and diagnostics; (iii) associated Monte Carlo significance tests for non-stationarity; (iv) a GW discriminant analysis; and (v) enhanced kernel bandwidth selection procedures. General Election data-sets from the Republic of Ireland and US are used for demonstration. This study is designed to complement a companion <b>GWmodel</b> study, which focuses on basic and robust GW models.
DOI: 10.6084/m9.figshare.1038368
title: Gaussian Job Archive for C6H6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1038367
title: Gaussian Job Archive for C6H6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1038368.v1
title: Gaussian Job Archive for C6H6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1038367.v1
title: Gaussian Job Archive for C6H6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1038346
title: Memory load test data from cynomolgus monkeys

description: Memory load test (MLT) data for cynomolgus monkeys from experiments carried out at the Primate Research Center IPB in Bogor, Indonesia. Collating data from August-October 2011, April-June 2012 and March-May 2013. Subject housing conditions (before, during, and after the experiment) and the test procedures were approved by the Primate Research Center IPB’s Animal Care and Use Committee; license number IPB PRC-13-A002. All data courtesy of Dr. Huda S. Darusman.
DOI: 10.6084/m9.figshare.1038335
title: Event-Based Mobile Social Networks: Services, Technologies and Applications

description: Event-based Mobile Social Networks (MSNs) are a<br>special type of mobile social network that has an immanently temporal common feature which allows any smart phone user to create events to share group messaging, locations, photos and insights among participants. The emergence of Internet of Things (IoT) and event-based social applications integrated with contextawareness ability can be helpful in planning and organizing social events like meetings, conferences, and tradeshows. This paper first provides review of the event-based social networks and the basic principles and architecture of event-based MSNs. Next, event-based MSNs with smartphone contained technology elements such as context-aware mobility and multimedia sharing are presented. By combining the feature of context-aware mobility with multimedia sharing in event-based MSNs, event organizers and planners with the service providers optimize their capability to recognize value for the multimedia services they deliver. The unique features of the current event-based MSNs give rise to the major technology trends to watch for designing applications. These mobile applications and their main features are described. At the end, discussions on the evaluation of the event-based mobile applications based on their main features are presented. Some open research issues and challenges in this<br>important area of research are also outlined.
DOI: 10.6084/m9.figshare.1038346.v1
title: Memory load test data from cynomolgus monkeys

description: Memory load test (MLT) data for cynomolgus monkeys from experiments carried out at the Primate Research Center IPB in Bogor, Indonesia. Collating data from August-October 2011, April-June 2012 and March-May 2013. Subject housing conditions (before, during, and after the experiment) and the test procedures were approved by the Primate Research Center IPB’s Animal Care and Use Committee; license number IPB PRC-13-A002. All data courtesy of Dr. Huda S. Darusman.
DOI: 10.6084/m9.figshare.1038334
title: An experimental Analysis on Cloud-based Mobile Augmentation in Mobile Cloud Computing

description: Recent consumer electronic technologies have<br>created momentous ground for smartphones in various domains, particularly healthcare and education. However, smartphones' miniature nature imposes intrinsic limitations on computational capabilities and battery lifetime that encumber<br>performing Resource-intensive Mobile Applications (RMAs). Cloud-based Mobile Augmentation (CMA) is the-state-of-the art augmentation model that leverages proximate and distant clouds to increase, enhance, and optimize computing capabilities of mobile devices aiming at execution of RMAs,<br>which breeds Mobile Cloud Computing (MCC). This study analyzes impacts of mobile-cloud distance and number of intermediate hops — as influential factors — on CMA performance which are not yet investigated. The results indicate the correlation between distance and intermediate hops on overall execution costs (time and energy) of RMAs. The mathematical modeling and benchmarking unveil that distance has negligible impact on latency, whereas intermediate hops increment and communication overhead significantly degrade application performance and complicate energy and time estimation in CMA system
DOI: 10.6084/m9.figshare.1038335.v1
title: Event-Based Mobile Social Networks: Services, Technologies and Applications

description: Event-based Mobile Social Networks (MSNs) are a<br>special type of mobile social network that has an immanently temporal common feature which allows any smart phone user to create events to share group messaging, locations, photos and insights among participants. The emergence of Internet of Things (IoT) and event-based social applications integrated with contextawareness ability can be helpful in planning and organizing social events like meetings, conferences, and tradeshows. This paper first provides review of the event-based social networks and the basic principles and architecture of event-based MSNs. Next, event-based MSNs with smartphone contained technology elements such as context-aware mobility and multimedia sharing are presented. By combining the feature of context-aware mobility with multimedia sharing in event-based MSNs, event organizers and planners with the service providers optimize their capability to recognize value for the multimedia services they deliver. The unique features of the current event-based MSNs give rise to the major technology trends to watch for designing applications. These mobile applications and their main features are described. At the end, discussions on the evaluation of the event-based mobile applications based on their main features are presented. Some open research issues and challenges in this<br>important area of research are also outlined.
DOI: 10.6084/m9.figshare.1038331
title: Hybrid Pervasive Mobile Cloud Computing: Toward Enhancing Invisibility

description: Vanishing computers into background toward invisible, distraction-free pervasive computing was envisioned by Mark Weiser which is yet remained unfulfilled. Current pervasive systems feature insufficient infrastructures to accurately perceive, infer context, tune the spaces, and prevent cyber threats. Convergence of wireless networks and cloud computing with smartphones alleviate issues and promote the Weiser’s vision. We outline Hybrid Pervasive Mobile Cloud Computing (HPMCC) as the state-of-the-art convergent paradigm comprises of pervasive artifacts, cloud resources, and smartphones. Multidimensional perception and localized elastic scalability are particular advantages of HPMCC that ensure spontaneous distraction-free human-machine interaction. Seamless application portability and multipoint data bridging are some of the open discussed issues.
DOI: 10.6084/m9.figshare.1038332
title: Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges

description: The unabated flurry of research activities to augment various mobile devices by leveraging heterogeneous cloud resources has created a new research domain called Mobile Cloud Computing (MCC). In the core of such a non-uniform environment, facilitating interoperability, portability, and integration among heterogeneous platforms is nontrivial. Building such facilitators in MCC requires investigations to understand heterogeneity and its challenges over the roots. Although there are many research studies in mobile computing and cloud computing, convergence of these two areas grants further academic efforts towards flourishing MCC. In this paper, we define MCC, explain its major challenges, discuss heterogeneity in convergent computing (i.e. mobile computing and cloud computing) and networking (wired and wireless networks), and divide it into two dimensions, namely vertical and horizontal. Heterogeneity roots are analyzed and taxonomized as hardware, platform, feature, API, and network. Multidimensional heterogeneity in MCC results in application and code fragmentation problems that impede development of cross-platform mobile applications which is mathematically described. The impacts of heterogeneity in MCC are investigated, related opportunities and challenges are identified, and predominant heterogeneity handling approaches like virtualization, middleware, and service oriented architecture (SOA) are discussed. We outline open issues that help in identifying new research directions in MCC.
DOI: 10.6084/m9.figshare.1038331.v1
title: Hybrid Pervasive Mobile Cloud Computing: Toward Enhancing Invisibility

description: Vanishing computers into background toward invisible, distraction-free pervasive computing was envisioned by Mark Weiser which is yet remained unfulfilled. Current pervasive systems feature insufficient infrastructures to accurately perceive, infer context, tune the spaces, and prevent cyber threats. Convergence of wireless networks and cloud computing with smartphones alleviate issues and promote the Weiser’s vision. We outline Hybrid Pervasive Mobile Cloud Computing (HPMCC) as the state-of-the-art convergent paradigm comprises of pervasive artifacts, cloud resources, and smartphones. Multidimensional perception and localized elastic scalability are particular advantages of HPMCC that ensure spontaneous distraction-free human-machine interaction. Seamless application portability and multipoint data bridging are some of the open discussed issues.
DOI: 10.6084/m9.figshare.1038332.v1
title: Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges

description: The unabated flurry of research activities to augment various mobile devices by leveraging heterogeneous cloud resources has created a new research domain called Mobile Cloud Computing (MCC). In the core of such a non-uniform environment, facilitating interoperability, portability, and integration among heterogeneous platforms is nontrivial. Building such facilitators in MCC requires investigations to understand heterogeneity and its challenges over the roots. Although there are many research studies in mobile computing and cloud computing, convergence of these two areas grants further academic efforts towards flourishing MCC. In this paper, we define MCC, explain its major challenges, discuss heterogeneity in convergent computing (i.e. mobile computing and cloud computing) and networking (wired and wireless networks), and divide it into two dimensions, namely vertical and horizontal. Heterogeneity roots are analyzed and taxonomized as hardware, platform, feature, API, and network. Multidimensional heterogeneity in MCC results in application and code fragmentation problems that impede development of cross-platform mobile applications which is mathematically described. The impacts of heterogeneity in MCC are investigated, related opportunities and challenges are identified, and predominant heterogeneity handling approaches like virtualization, middleware, and service oriented architecture (SOA) are discussed. We outline open issues that help in identifying new research directions in MCC.
DOI: 10.6084/m9.figshare.1038329
title: Rich Mobile Applications: Genesis, Taxonomy, and Open Issues S

description: Rich Mobile Applications (RMAs) comprise a budding research area receiving increasingly abundant attention from the academic and industrial communities. RMAs are deemed to be a candidate blueprint of future online smartphone applications aiming to deliver high functionalities and rich immersive experience to mobile users. RMAs are still in early stages and comprehensive survey of the domain is lacking. In this paper, we use structuralism and functionalism paradigms to analyze RMAs’ origins, trends, and character- istics. RMAs are distinguished from traditional mobile applications and Rich Internet Applications (RIAs). Comprehending the distinction between delivering Rich User eXperience (RUX) in desktop and mobile computers, and the inward similarities and dissimilarities between RMAs and RIAs will facilitate and accelerate the development of rich, smartphone-centric applications. We analyze several problems inhibiting the adoption of RMAs and review corresponding solutions to devise a taxonomy. Our study advocates that the majority of problems stem from the intrinsic characteristics of mobile devices and the heterogeneity in this environment, especially when cloud computing is employed to enhance mobile computing. Several open issues on RMAs’ domination and adoption are presented as future research directions.
DOI: 10.6084/m9.figshare.1037721
title: Kang et al.

description: Protein structural models for Kang et al.
DOI: 10.6084/m9.figshare.1037721.v1
title: Kang et al.

description: Protein structural models for Kang et al.
DOI: 10.6084/m9.figshare.1037705
title: Amino Acid Analysis & Phylogenetic Reconstruction of six KLOTHO protein sequences

description: Including: Homo sapiens; Mus musculus; Mesocricetus auratus; Heterocephalus glaber; Chelonia mydas; Danio rerio
DOI: 10.6084/m9.figshare.1037705.v1
title: Amino Acid Analysis & Phyologenetic Reconstruction of six KLOTHO protein sequences

description: Including: Homo sapiens; Mus musculus; Mesocricetus auratus; Heterocephalus glaber; Chelonia mydas; Danio rerio
DOI: 10.6084/m9.figshare.1037699
title: Supplement data

description: raw data for Supplement to Walters et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037696
title: Figure 4 data

description: raw data for Figure 4 from Walters, et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037686
title: Figure 3 data

description: raw data for Figure 3 from Walters, et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037696.v1
title: Figure 4 data

description: raw data for Figure 4 from Walters, et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037678
title: Figure 2 data

description: raw data for Figure 2 from Walters, et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037678.v1
title: Figure 2 data

description: raw data for Figure 2 from Walters, et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037673
title: Figure 1 data

description: raw data files for Figure 1 from Walters et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037673.v1
title: Figure 1 data

description: raw data files for Figure 1 from Walters et al, 2014, PLOS ONE
DOI: 10.6084/m9.figshare.1037657
title: Gaussian Job Archive for C58H84N4O11Zn2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1037657.v1
title: Gaussian Job Archive for C58H84N4O11Zn2

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1037609
title: Meta-Analysis of Clinical Dose–Response in a Large Drug Development Portfolio

description: This article reports the results of a meta-analysis based on dose–response studies conducted by a large pharmaceutical company between 1998–2009. Data collection targeted efficacy endpoints from all compounds with evidence of clinical efficacy during the time period. Safety data were not extracted. The goal of the meta-analysis was to identify consistent quantitative patterns in dose–response across different compounds and diseases. The article presents summaries of the study designs, including the number of studies conducted for each compound, dosing range, the number of doses evaluated, and the number of patients per dose. The E<sub>max </sub> model, ubiquitous in pharmacology research, was fit for each compound. It described the data well, except for a single compound, which had nonmonotone dose–response. Compound-specific estimates and Bayesian hierarchical modeling showed that dose–response curves for most compounds can be approximated by E<sub>max </sub> models with “Hill” parameters close to 1.0. Summaries of the potency estimates show pharmacometric predictions of potency made before the first dose ranging study within a (1/10, 10) multiple of the final estimates for 90% of compounds. The results of the meta-analysis, when combined with compound-specific information, provide an empirical basis for designing and analyzing new dose finding studies using parametric E<sub>max</sub> models and Bayesian estimation with empirically derived prior distributions.
DOI: 10.6084/m9.figshare.1037598
title: BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs

description: BROCCOLI is a new software package for fMRI analysis.It is written in OpenCL (Open Computing Language).
DOI: 10.6084/m9.figshare.1037598.v1
title: BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs

description: BROCCOLI is a new software package for fMRI analysis.It is written in OpenCL (Open Computing Language).
DOI: 10.6084/m9.figshare.1037597
title: supplementary files Yadav RK et al

description: Supplementary files Yadav et al.,
DOI: 10.6084/m9.figshare.1037609.v1
title: Meta-analysis of clinical dose response in a large drug development portfolio

description: Results of a meta-analysis are reported based on dose response studies conducted by a large pharmaceutical company between 1998-2009. Data collection targeted efficacy endpoints from all compounds with evidence of clinical efficacy during the time period. Safety data were not extracted. The goal of the meta-analysis was to identify consistent quantitative patterns in dose response across different compounds and diseases. Summaries of the study designs are reported, including the number of studies conducted for each compound, dosing range, the number of doses evaluated, and the number of patients per dose. The E<sub>max</sub> model, ubiquitous in pharmacology research, was fit for each compound. It described the data well, except for a single compound, which had non-monotone dose response. Compound-specific estimates and Bayesian hierarchical modeling showed that dose response curves for most compounds can be approximated by E<sub>max</sub> models with ’Hill’ parameters close to 1.0. Summaries of the potency estimates show pharmacometric predictions of potency made before the first dose ranging study within a (1/10, 10) multiple of the final estimates for 90% of compounds. The results of the meta-analysis, when combined with compound-specific information, provide an empirical basis for designing and analyzing new dose finding studies using parametric Emax models and Bayesian estimation with empirically-derived prior distributions.
DOI: 10.6084/m9.figshare.1037597.v1
title: supplementary files Yadav RK et al

description: Supplementary files Yadav et al.,