Transitioning to Adulthood in Sweden: Comparing the Priorities of Immigrant Youths with Disabilities and Caregivers, from Middle-Eastern Countries

Background: There is limited knowledge about perceived challenges during the transition to adulthood among immigrant youths who are originally from Arabic-speaking countries but now residing in Sweden. Aim: The aim of this study was to describe self-identified problems encountered by immigrant youths with disabilities from Middle Eastern countries who were living in Sweden during their transition to adulthood and to compare these descriptions to the problems identified by their caregivers.Methods: Seventeen semi-structured interviews using the Canadian Occupational Performance Measure were conducted with 17 immigrant youths with intellectual disabilities aged 13-24 years and 16 caregivers, originally from Middle Eastern countries. The participants’ prioritized problems were categorized using the International Classification of Functioning, Disability and Health-Children & Youth Version, focusing on Activity and Participation.Results: A difference in priorities during transition was found when comparing the youths’ and the caregivers’ views. Most of the youths’ priorities were identified in the chapter “Major Life Area” about basic economic transactions and seeking employment, whilst the caregivers thought their youths’ prioritized “self-care”.Conclusion and implications for practice: Planning the best transition for immigrant youths with disabilities involves enabling them to identify their own preferences and needs while collaborating with caregivers and taking into consideration the cultural norms and traditions of collective caregiving

Developing GIS-based water poverty and rainwater harvesting suitability maps for domestic use in the Dead Sea region (West Bank, Palestine)

In the arid region of the Dead Sea, water shortage and the inability to satisfy the increasing domestic water demand threatens sustainable development. In such situations, domestic rainwater harvesting is considered an efficient way to combat water poverty. This paper aims to develop domestic water poverty (DWP) and domestic rainwater harvesting suitability (DRWHS) maps for the West Bank, Palestine. The analytical hierarchy process (AHP) and the GIS-based weighted overlay summation process (WOSP) were utilized in the development of these maps. Results of the DWP map indicate that 57&thinsp;% of the West Bank is under high to very high poverty of domestic water. The DRWHS map shows that 60&thinsp;% of the West Bank is highly suitable for domestic rainwater harvesting. Spatial intersection (combined mapping) between DWP and DRWHS maps indicates that around 31&thinsp;% of the total West Bank areas could be classified as high potential locations (hotspot areas) for adopting rainwater harvesting techniques for domestic purposes. The developed maps are valuable to the stakeholders to better identify the best areas of rainwater harvesting in the West Bank.</p

Trispecific antibody targeting HIV-1 and T cells activates and eliminates latently-infected cells in HIV/SHIV infections.

Agents that can simultaneously activate latent HIV, increase immune activation and enhance the killing of latently-infected cells represent promising approaches for HIV cure. Here, we develop and evaluate a trispecific antibody (Ab), N6/αCD3-αCD28, that targets three independent proteins: (1) the HIV envelope via the broadly reactive CD4-binding site Ab, N6; (2) the T cell antigen CD3; and (3) the co-stimulatory molecule CD28. We find that the trispecific significantly increases antigen-specific T-cell activation and cytokine release in both CD4 &lt;sup&gt;+&lt;/sup&gt; and CD8 &lt;sup&gt;+&lt;/sup&gt; T cells. Co-culturing CD4 &lt;sup&gt;+&lt;/sup&gt; with autologous CD8 &lt;sup&gt;+&lt;/sup&gt; T cells from ART-suppressed HIV &lt;sup&gt;+&lt;/sup&gt; donors with N6/αCD3-αCD28, results in activation of latently-infected cells and their elimination by activated CD8 &lt;sup&gt;+&lt;/sup&gt; T cells. This trispecific antibody mediates CD4 &lt;sup&gt;+&lt;/sup&gt; and CD8 &lt;sup&gt;+&lt;/sup&gt; T-cell activation in non-human primates and is well tolerated in vivo. This HIV-directed antibody therefore merits further development as a potential intervention for the eradication of latent HIV infection

Synthesis, docking and evaluation of novel fused pyrimidine compounds as possible lead compounds with antibacterial and antitumor activities

Reaction of a series of hydrazonoyl chlorides with substituted aminopyrimidines afforded good selectivity in most cases leading either to formation of new imidazo[1,2-a]pyrimidine derivatives, or regioisomeric hydrazonamide adducts. The compounds were evaluated for antibacterial and anticancer activities. Screening against 'E. Coli', 'P. aeruginosa', 'S. aureus', 'S. epidermidis', 'B. subtilis' and 'K. rhizophila' did identify several different compound types with MIC of 0.1-0.4 mg/mL. Anticancer evaluation against a HeLa cell line identified one imidazo[1,2-a]pyrimidine lead. An 'in silico' target fishing analysis suggest three possible high value protein targets, Tankyrase-2 (Tank-2), Cyclin-dependent kinase (CDK2) and Epidermal growth factor tyrosine kinase receptor (EGFR), with modelling fit against co-crystallized known ligands. This provides a new structural family lead for further investigation of molecular targets and potential SAR activity development

Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data

<p>Abstract</p> <p>Background</p> <p>Bayesian Network (BN) is a powerful approach to reconstructing genetic regulatory networks from gene expression data. However, expression data by itself suffers from high noise and lack of power. Incorporating prior biological knowledge can improve the performance. As each type of prior knowledge on its own may be incomplete or limited by quality issues, integrating multiple sources of prior knowledge to utilize their consensus is desirable.</p> <p>Results</p> <p>We introduce a new method to incorporate the quantitative information from multiple sources of prior knowledge. It first uses the Naïve Bayesian classifier to assess the likelihood of functional linkage between gene pairs based on prior knowledge. In this study we included cocitation in PubMed and schematic similarity in Gene Ontology annotation. A candidate network edge reservoir is then created in which the copy number of each edge is proportional to the estimated likelihood of linkage between the two corresponding genes. In network simulation the Markov Chain Monte Carlo sampling algorithm is adopted, and samples from this reservoir at each iteration to generate new candidate networks. We evaluated the new algorithm using both simulated and real gene expression data including that from a yeast cell cycle and a mouse pancreas development/growth study. Incorporating prior knowledge led to a ~2 fold increase in the number of known transcription regulations recovered, without significant change in false positive rate. In contrast, without the prior knowledge BN modeling is not always better than a random selection, demonstrating the necessity in network modeling to supplement the gene expression data with additional information.</p> <p>Conclusion</p> <p>our new development provides a statistical means to utilize the quantitative information in prior biological knowledge in the BN modeling of gene expression data, which significantly improves the performance.</p