280 research outputs found

    A review of current and future food applications of natural hydrocolloids

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    The main aim of this review paper was to focus on current and potential future sources and food applications of natural hydrocolloids in the food industry. The emerging research trends, problems, new methods and alternative approaches in production, environmental concerns, market trends and newly discovered health benefits have been discussed for natural hydrocolloids of commercial relevance. The rheological and surface active properties, interactions, functional properties, films and coatings, encapsulation applications and nanotechnology uses of natural hydrocolloids have been discussed in the light of recent developments. This review also reflected the most up-to-date concepts of applying natural hydrocolloids to meet consumer's and food sector's sophisticated demands related to food products

    Model comparison for aftershock sequences following the 2005 Kashmir disaster

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    In an earlier study (Van Lieshout and Stein, in press) we postulated the existence of two major earthquakes in Kashmir instead of a single one, based upon the pattern of aftershocks. In this note we explore this pattern further by fitting several spatial point pattern models. In particular we discuss the Hawkes and the trigger process models for earthquake aftershock sequences following the Kashmir catastrophe in 2005. The minimum contrast method is used for estimation of the parameters. The study shows that the trigger model fits better than the Hawkes model. The most likely number of main shocks is rounded to 2 generating the almost 200 aftershocks, whereas the Hawkes model would estimate a parent process of approximately 18 parents with on average 10 descendants. We conclude that the spatial pattern of aftershocks can best be understood as being generated by the trigger point process model

    Influence of bone density on implant stability parameters and implant success: a retrospective clinical study

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    <p>Abstract</p> <p>Background</p> <p>The aim of the present clinical study was to determine the local bone density in dental implant recipient sites using computerized tomography (CT) and to investigate the influence of local bone density on implant stability parameters and implant success.</p> <p>Methods</p> <p>A total of 300 implants were placed in 111 patients between 2003 and 2005. The bone density in each implant recipient site was determined using CT. Insertion torque and resonance frequency analysis were used as implant stability parameters. The peak insertion torque values were recorded with OsseoCare machine. The resonance frequency analysis measurements were performed with Osstell instrument immediately after implant placement, 6, and 12 months later.</p> <p>Results</p> <p>Of 300 implants placed, 20 were lost, meaning a survival rate of %. 93.3 after three years (average 3.7 ± 0.7 years). The mean bone density, insertion torque and RFA recordings of all 300 implants were 620 ± 251 HU, 36.1 ± 8 Ncm, and 65.7 ± 9 ISQ at implant placement respectively; which indicated statistically significant correlations between bone density and insertion torque values (p < 0.001), bone density and ISQ values (p < 0.001), and insertion torque and ISQ values (p < 0.001). The mean bone density, insertion torque and RFA values were 645 ± 240 HU, 37.2 ± 7 Ncm, and 67.1 ± 7 ISQ for 280 successful implants at implant placement, while corresponding values were 267 ± 47 HU, 21.8 ± 4 Ncm, and 46.5 ± 4 ISQ for 20 failed implants; which indicated statistically significant differences for each parameter (p < 0.001).</p> <p>Conclusion</p> <p>CT is a useful tool to determine the bone density in the implant recipient sites, and the local bone density has a prevailing influence on primary implant stability, which is an important determinant for implant success.</p

    Measuring and evaluating efficiency of hospitals through total quality management: A multi-criteria data envelopment analysis model

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    The purpose of this study is to measure and evaluate the efficiency of 12 hospitals in Turkey using a multi-criteria Data Envelopment Analysis (DEA) methodology. Number of beds, number of physicians and the critical factors of total quality management in the health care sector were used as inputs of the model. The outputs used in this analysis incorporated financial and non-financial performance of hospitals, number of outpatients and number of patient days. Performance of the hospitals was measured using subjective measures based on executive's perception of how their organization performed relative to the competition. Results provide management with information regarding the relatively best practice hospitals in the observation sets and locate the relatively inefficient hospitals by comparison with the best practice ones. At last some suggestions are made for the least efficient hospital. © 2007 by The Haworth Press. All rights reserved

    Towards sustainable training in essential computing research skills in the Netherlands

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    Life science research increasingly depends on computational skills that enable efficient work with large complex datasets. Unfortunately, formal curricula often lack training in this area. There is a need for specialised training that includes topics like shell scripting, basic programming skills in R or Python, data handling, reproducible computational research and open science

    Regenerative effects of peptide nanofibers in an experimental model of Parkinson's disease

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    Parkinson's disease (PD) is characterized by progressive degeneration of dopaminergic nigrostriatal neurons and reduction in striatal dopamine levels. Although there are few treatment options for PD such as Levodopa, they are used just to relieve and modify the symptoms. There are no therapies available for PD to slow down the degeneration process in the brain and recover the lost function. In this study, we used extracellular matrix (ECM) mimetic peptide amphiphile (PA) nanofibers as a potential therapeutic approach in a PD rat model. We demonstrated the effect of heparan sulfate mimetic and laminin mimetic PA nanofibers on reducing striatal injury and enhancing functional recovery after unilateral striatal injection of 6-hydroxydopamine (6-OHDA). The bioactive self-assembled PA nanofibers significantly reduced forelimb asymmetry, contralateral forelimb akinesia and d-amphetamine-induced rotational behavior in cylinder, stepping and rotation tests, respectively, in 6-OHDA-lesioned rats after 6 weeks. The behavioral improvement with PA nanofiber administration was associated with enhanced striatal dopamine and tyrosine hydroxylase content as well as reduced cleaved-Caspase-3 levels. Histological assessment also showed that PA nanofiber injection to the striatum resulted in better tissue integrity compared to control groups. In addition, PA nanofibers reduced the progressive cell loss in SH-SY5Y cells caused by 6-OHDA treatment. These data showed that the bioactive peptide nanofibers improve neurochemical and behavioral consequences of Parkinsonism in rats and provide a promising new strategy for treatment of PD. Statement of Significance Biomimetic nanomaterials bearing natural bioactive signals which are derived from extracellular matrix components like laminin and heparan sulfates provide promising therapeutic strategies for regeneration of the nervous system. However, no research has been reported exploring the use of biomimetic materials against degeneration in Parkinson's disease. In this work, we investigated potential therapeutic effects of heparan sulfate and laminin mimetic PA nanofibers on reduction of striatal injury in experimental Parkinson's disease model. PA nanofibers enhanced functional recovery associated with enhanced striatal dopamine and tyrosine hydroxylase content as well as reduced cleaved-Caspase-3 levels. Overall, this study shows the improvement in consequences of Parkinsonism in rats and provides a new platform for treatment of Parkinson's disease. © 2016 Acta Materialia Inc

    Evaluation of functional dynamics during osseointegration and regeneration associated with oral implants

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    The aim of this paper is to review current investigations on functional assessments of osseointegration and assess correlations to the peri-implant structure.The literature was electronically searched for studies of promoting dental implant osseointegration, functional assessments of implant stability, and finite element (FE) analyses in the field of implant dentistry, and any references regarding biological events during osseointegration were also cited as background information.Osseointegration involves a cascade of protein and cell apposition, vascular invasion, de novo bone formation and maturation to achieve the primary and secondary dental implant stability. This process may be accelerated by alteration of the implant surface roughness, developing a biomimetric interface, or local delivery of growth-promoting factors. The current available pre-clinical and clinical biomechanical assessments demonstrated a variety of correlations to the peri-implant structural parameters, and functionally integrated peri-implant structure through FE optimization can offer strong correlation to the interfacial biomechanics.The progression of osseointegration may be accelerated by alteration of the implant interface as well as growth factor applications, and functional integration of peri-implant structure may be feasible to predict the implant function during osseointegration. More research in this field is still needed. To cite this article: Chang P-C, Lang NP, Giannobile WV. Evaluation of functional dynamics during osseointegration and regeneration associated with oral implants. Clin. Oral Impl. Res . 21 , 2010; 1–12.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78668/1/j.1600-0501.2009.01826.x.pd
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