Sonia A. Monteiro¹, Faridis Serrano¹, Rocky Tsang¹, Eboni Smith Hollier¹, Danielle Guffey², Lisa Noll¹, Robert G. Voigt¹, Nancy Ghanayem¹, Lara Shekerdemian¹

Congenital Heart Disease, Vol.14, No.5, pp. 797-802, 2019, DOI:10.1111/chd.12789

Abstract Objective: Neurodevelopmental impairment is common after surgery for congeni‐ tal heart disease (CHD) in infancy. While neurodevelopmental follow‐up of high‐risk patients has increased, the referral patterns for ancillary services following initial evaluation have not been reported. The aim of this study is to describe the rates and patterns of referral at the initial visit to our outcomes clinic of patients who under‐ went surgery for CHD during infancy.
Outcomes Measures: The Cardiac Developmental Outcomes Program clinic at Texas Children’s Hospital provides routine longitudinal follow‐up with developmental pedi‐ atricians and child psychologists for children who required surgery for CHD within the… More >

Zhengtao Liu^{1, *}, Yi Ying¹, Yaqin Peng¹, Jinyue Xia²

CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 861-871, 2020, DOI:10.32604/cmc.2020.07142

Abstract Multi-tenant collaboration brings the challenge to access control in cloud computing environment. Based on the multi-tenant role-based access control (MTRBAC) model, a Temporal MT-RBAC (TMT-RBAC) model for collaborative cloud services is proposed. It adds the time constraint between trusted tenants, including usable role time constraint based on both calendar and interval time. Analysis shows that the new model strengthens the presentation ability of MT-RBAC model, achieves the finergrained access control, reduces the management costs and enhances the security of multitenant collaboration in cloud computing environment. More >

Junhua Xi^{1, *}, Kouquan Zheng¹, Jianfeng Ma¹, Jungang Yang¹, Zhiyao Liang²

CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 605-619, 2020, DOI:10.32604/cmc.2020.06343

Abstract Intuitionistic fuzzy Petri net is an important class of Petri nets, which can be used to model the knowledge base system based on intuitionistic fuzzy production rules. In order to solve the problem of poor self-learning ability of intuitionistic fuzzy systems, a new Petri net modeling method is proposed by introducing BP (Error Back Propagation) algorithm in neural networks. By judging whether the transition is ignited by continuous function, the intuitionistic fuzziness of classical BP algorithm is extended to the parameter learning and training, which makes Petri network have stronger generalization ability and adaptive function, and the reasoning result is… More >

Giaccio GCM¹, P Laterra², VC Aparicio³, JL Costa³

Phyton-International Journal of Experimental Botany, Vol.85, pp. 108-116, 2016, DOI:10.32604/phyton.2016.85.108

Abstract In this study, we examined some aspects regarding the effect of willow trees (Salix fragilis L.) invasion of grassland riparian environments in the Argentinean Pampas on the runoff reduction, sedimentation and glyphosate retention in the riparian vegetation strip (RVS). To assess the influence of willows on the filtering mechanisms, we performed runoff simulation experiments in plots of 1.5 x 2.5 m, in coastal environments characterized by the presence of willows or the lack of trees. Despite the short length of the experimental plots, the retention of glyphosate in the controls, with no trees, was higher and reached almost 74%. Nevertheless,… More >

Rubí-Arriaga M, A González-Huerta, I Martínez-De La Cruz, O Franco-Mora, JF Ramírez-Dávila, JA López-Sandoval, GV Hernández-Flores

Phyton-International Journal of Experimental Botany, Vol.83, pp. 203-211, 2014, DOI:10.32604/phyton.2014.83.203

Abstract Sultepec, State of Mexico, located on the central part of Mexico, belongs to the Physiographic province “Sierra Madre del Sur” and to the Subprovince “Depresión del Balsas”. Although it is known for its floristic richness, it lacks an inventory of vascular plants, including the fruit species. The aim of this work was to elaborate a database including family, scientific name, local name, biological form, origin, use, management, production and service of the fruit species. Plants were collected continuously from June 2010 to June 2011. Subsequently, they were determined in the herbarium “Eizi Matuda” (CODAGEM) from the Facultad de Ciencias Agrícolas… More >

Giaccio GCM¹, P Laterra², F Cabria³

Phyton-International Journal of Experimental Botany, Vol.86, pp. 112-123, 2017, DOI:10.32604/phyton.2017.86.112

Abstract The analysis of lateral flow runoff of superficial nutrients and sediments from an agricultural origin and their retention by infiltration of riparian vegetation strips are of great importance in reducing the agricultural externalities on surface water quality. The aim of this study was to relate soil infiltration to the main biophysical properties of riparian environments in the Pampa Austral of Argentina, defined by the composition of its plant community and the coverage of exotic species. We explored the relationships between hydraulic conductivity (K_s) and aboveground, litter and root biomasses, organic matter concentration, terrain slope, soil bulk density, texture and electrical… More >

Zhengtao Liu^1,*, Jinyue Xia²

CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 395-408, 2019, DOI:10.32604/cmc.2019.05627

Abstract Tenants in the cloud computing environment share various services, including storage, network, computing, and applications. For better use of services in the cloud computing environment, tenants collaborate in tasks, resulting in challenges to the traditional access control. This study proposes a cross-tenant role-based access control (CT-RBAC) model for collaborative cloud services. This model covers the CT-RBAC0, CT-RBAC1, CT-RBAC2, and CT-RBAC3 models. The model not only extends the RBAC model in the multi-tenant cloud computing mode but also includes four types of authorization modes among tenants. Consequently, the role inheritance constraint is increased, and fine-grained authorization access among trusted tenants is… More >

Dae-Young Kim¹, Se Dong Min^{2, †}, Seokhoon Kim^{3, †, *}

CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 1-14, 2019, DOI:10.32604/cmc.2019.06102

Abstract The importance of Blockchain and IoT technology have been highlighted in various fields. These are not unaccustomed words anymore in our lives. Although the technologies are in the infancy step and are still many remaining technical challenges, there is no doubt that it will be one of the major parts of the future Internet. The efficiency and security of data transmission scheme have always been major issues in the legacy Internet, and a data transmission scheme for the future Internet, including 5G and IoT environment should also provide and support these issues. Consequently, we propose a new data transmission scheme… More >

Yuhang Wang¹, Yanbin Sun^1,*, Shen Su¹, Zhihong Tian¹, Mohan Li¹, Jing Qiu¹, Xianzhi Wang²

CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 983-993, 2019, DOI:10.32604/cmc.2019.05547

Abstract With the evolution of location-based services (LBS), a new type of LBS has already gain a lot of attention and implementation, we name this kind of LBS as the Device-Dependent LBS (DLBS). In DLBS, the service provider (SP) will not only send the information according to the user’s location, more significant, he also provides a service device which will be carried by the user. DLBS has been successfully practised in some of the large cities around the world, for example, the shared bicycle in Beijing and London. In this paper, we, for the first time, blow the whistle of the… More >

Kemal Akyol^1,*, Baha Şen²

CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 69-80, 2019, DOI:10.32604/cmc.2019.08143

Abstract The popularity of news, which conveys newsworthy events which occur during day to people, is substantially important for the spectator or audience. People interact with news website and share news links or their opinions. This study uses supervised learning based machine learning techniques in order to predict news popularity in social media sources. These techniques consist of basically two phrases: a) the training data is sent as input to the classifier algorithm, b) the performance of pre-learned algorithm is tested on the testing data. And so, a knowledge discovery from the data is performed. In this context, firstly, twelve datasets… More >