Designing e-research: A framework for researcher’s social online knowledge

Design strategies to support and enhance scientific collaboration are still ambiguous. The ability of universities and research institutes to support a collaborative scientific research environment among researchers through appropriate methods needs to be further investigated. The lack of understanding about the human factors behind collaboration, the nature of scientific tasks, and the institute’s cultural environment are motivations for this study. As a part of our work on a European integrated project, Edu-Tech, this study investigated which factors of collaborative research are important to give us a clear picture for enhancing the social perspective of the project’s webpage. This research purposes a model, Time Environment, Individual and Group (TEIG), in order to provide descriptive variable necessary to understand the transformation of online social knowledge. Accordingly, we provided a new prototype for designing our online community, Edu-Tech, which is now ready to facilitate collaboration among researchers

High-Dose Chemotherapy Plus Non-Cryopreserved Autologous Peripheral Blood Stem Cell Transplantation Rescue for Patients With Refractory or Relapsed Hodgkin Disease

AbstractA simplified schedule of high-dose chemotherapy consisting of cyclophosphamide (60 mg·kg−1·d−1 for 2 days), etoposide (15 mg·kg−1·d−1 for 2 days), and carboplatin (400 mg/m2 per day for 2 days) plus autologous non-cryopreserved peripheral blood stem cells (PBSCs) was used for treatment of patients with relapsed (n = 25) and refractory (n = 3) Hodgkin disease. The use of such PBSCs mobilized by granulocyte colony-stimulating factor after high-dose myeloablative therapy resulted in a rapid, complete, and sustained hematopoietic recovery. The median time to achieve an absolute neutrophil count >0.5 × 109/L was 13 days (range, 7-18 days). The median time to a self-sustained platelet count >20 × 109/L was 15 days (range, 7-20 days). Twelve of the 28 patients (43%) were alive and without disease at a median follow-up of 16 months (range, 9-86 months) for all surviving patients. The estimated 2-year overall survival and disease-free survival for all patients were 45% and 42%, respectively. Thirteen patients died of relapse or progressive disease, 2 died of infection, and 1 was still surviving in relapse by the time of the analysis. The median time to relapse was 10 months (range, 3-28 months) from PBSC infusion. High-dose chemotherapy with short-duration chemotherapy and non-cryopreserved bone marrow is an effective and safe treatment modality for patients with relapsed or resistant Hodgkin lymphoma

Designing e-research: A framework for researcher’s social online knowledge

Design strategies to support and enhance scientific collaboration are still ambiguous. The ability of universities and research institutes to support a collaborative scientific research environment among researchers through appropriate methods needs to be further investigated. The lack of understanding about the human factors behind collaboration, the nature of scientific tasks, and the institute’s cultural environment are motivations for this study. As a part of our work on a European integrated project, Edu-Tech, this study investigated which factors of collaborative research are important to give us a clear picture for enhancing the social perspective of the project’s webpage. This research purposes a model, Time Environment, Individual and Group (TEIG), in order to provide descriptive variable necessary to understand the transformation of online social knowledge. Accordingly, we provided a new prototype for designing our online community, Edu-Tech, which is now ready to facilitate collaboration among researchers

State of Health Optimization Based Unequal Clustering in IoT Networks

International audienceEnergy optimization is an imminent worldwide issues for green computing, it constitutes a major concern and a critical aspect especially for energy constrained wireless networks. To overcome this issue, clustering techniques were introduced as a prominent method that arranges the system operation in correlated manner to attend the energy preservation and prolong the network lifespan. However, existing clustering works only focus on preserving the battery charge to operate until it drains out. This approach is most appropriate for non-rechargeable batteries. However, rechargeable batteries become commonly used and need to be considered. The full discharge of echargeable battery does not mean the device obsolescence. Therefore, the system lifetime optimization should take into consideration the degradation of the rechargeable batteries performances. In this context, we proposed an improved long-term energy efficient unequal clustering approach based on the battery state of health for IoT networks (ILEC_SOH). This work represents an initial step in the integration of the battery health degradation into the unequal network clustering. The obtained results show that the consideration of battery state of health (SOH) significantly improve the network lifespan in the long term compared to the conventional energy efficient approaches

Designing e-research: A framework for researcher’s social online knowledge

Design strategies to support and enhance scientific collaboration are still ambiguous. The ability of universities and research institutes to support a collaborative scientific research environment among researchers through appropriate methods needs to be further investigated. The lack of understanding about the human factors behind collaboration, the nature of scientific tasks, and the institute’s cultural environment are motivations for this study. As a part of our work on a European integrated project, Edu-Tech, this study investigated which factors of collaborative research are important to give us a clear picture for enhancing the social perspective of the project’s webpage. This research purposes a model, Time Environment, Individual and Group (TEIG), in order to provide descriptive variable necessary to understand the transformation of online social knowledge. Accordingly, we provided a new prototype for designing our online community, Edu-Tech, which is now ready to facilitate collaboration among researchers

An Improved Lifetime Optimization Clustering using Kruskal’s MST and Batteries Aging for IoT Networks

International audienceLifetime improvement is a major concern for energy constrained wireless networks. Clustering the network topology is widely utilized for managing and enhancing the system duration. With conventional clustering mechanism Cluster Heads (CHs) close to the Base Station (BS) utilize higher power resource for relaying data packets of the other network CHs. This scenario obstruct the network performance as nodes close to the BS attend an earlier death than their desired durability due to the overloaded routing task. This scenario unbalanced energy consumption and is designated as the hot spot problem. The interest in this work is to carry the intra clustering topology in a vast scale contexts to support the network rising and fairly power balance the energy consuming. In this context, we present an Improved Lifetime Optimization Clustering (ILCK) approach that uses the Kruskal minimal spanning tree heuristic (MST) and consider the state of health (SOH) of devices batteries for the network life maximization. ILCK appeal the Kruskal algorithm in a distributed trend to achieve a minimal MST tree inside wide cluster to consolidate the intra cluster routing topology and mitigate the energy allocated to wireless communications. To the best of our awareness, this is a primary solution that merge the Kruskal approach within an uneven clustering to prolong the objects battery endurance and ease the energy hot spot routing issues. The complexity proof of the proposed approach is provided and simulation results denote that ILCK can adequately scale down the power consumption and lengthen the execution time of the deployed network

A Distributed Multi-Hop Intra-Clustering Approach Based on Neighbors Two-Hop Connectivity for IoT Networks

International audienceUnder a dense and large IoT network, a star topology where each device is directly connected to the Internet gateway may cause serious waste of energy and congestion issues. Grouping network devices into clusters provides a suitable architecture to reduce the energy consumption and allows an effective management of communication channels. Although several clustering approaches were proposed in the literature, most of them use the single-hop intra-clustering model. In a large network, the number of clusters increases and the energy draining remains almost the same as in un-clustered architecture. To solve the problem, several approaches use the k-hop intra-clustering to generate a reduced number of large clusters. However, k-hop proposed schemes are, generally, centralized and only assume the node direct neighbors information which lack of robustness. In this regard, the present work proposes a distributed approach for the k-hop intra-clustering called Distributed Clustering based 2-Hop Connectivity (DC2HC). The algorithm uses the two-hop neighbors connectivity to elect the appropriate set of cluster heads and strengthen the clusters connectivity. The objective is to optimize the set of representative cluster heads to minimize the number of long range communication channels and expand the network lifetime. The paper provides the convergence proof of the proposed solution. Simulation results show that our proposed protocol outperforms similar approaches available in the literature by reducing the number of generated cluster heads and achieving longer network lifetime