The Insulin-like Growth Factor (IGF) system in breast and colorectal carcinogenesis: dietary intervention and molecular studies

Leeuwen, F.E. van [Promotor]Veer, L.J. [Copromotor]van 't Kampman, E. [Copromotor

Uphill and downhill walking in unilateral lower limb amputees

Objective: To study adjustment strategies in unilateral amputees in uphill and downhill walking. Design: observational cohort study. Subjects: Seven transfemoral, 12 transtibial unilateral amputees and 10 able-bodied subjects. Methods: In a motion analysis laboratory the subjects walked over a level surface and an uphill and downhill slope. Gait velocity and lower limb joint angles were measured. Results: In uphill walking hip and knee flexion at initial contact and hip flexion in swing were increased in the prosthetic limb of transtibial amputees. In downhill walking transtibial amputees showed more knee flexion on the prosthetic side in late stance and swing. Transfemoral amputees were not able to increase prosthetic knee flexion in uphill and downhill walking. An important adjustment strategy in both amputee Groups was a smaller hip extension in late stance in uphill and downhill walking, probably related with a shorter step length. In addition, amputees increased knee flexion in early stance in the non-affected limb in uphill walking to compensate for the shorter prosthetic limb length. In downhill walking fewer adjustments were necessary, since the shorter prosthetic limb already resulted in lowering of the body. Conclusion: Uphill and downhill walking can be trained in rehabilitation, which may improve safety and confidence of amputees. Prosthetic design should focus on better control of prosthetic knee flexion abilities without reducing stability. (c) 2007 Elsevier B.V. All fights reserved

A Vision for Transdisciplinarity in Future Earth: Perspectives from Young Researchers

Meeting the demand for food, energy, and water as world population increases is a major goal for the food systems of the future. These future challenges, which are complex, multiscalar, and cross-sectoral in nature, require a food systems approach that recognizes the socio-ecological and socio-technical dimensions of food (Ericksen, 2008; Ingram, 2011; Rivera-Ferre, 2012). The United Nations' Future Earth Program aims to provide a new platform for consolidating the knowledge required for societies to transition to global sustainability (Future Earth Transition Team, 2012). In this paper, we explore how Future Earth could become a vehicle for inspiring the production of new research ideas and collaborations for sustainably transforming the future food system. We do this on the basis of a synthesis of views from 28 young (below 40 years old) food system scientists, representing five continents. Their expertise comes from disciplines including food engineering, agronomy, ecology, geography, psychology, public health, food politics, nutritional science, political science, sociology and sustainability science. This paper begins with an outline of the institutional framework of Future Earth and how it might support innovative transdisciplinary research on food systems, and the position of young scientists within this framework. Secondly, we outline the key insights expressed by the young scientists during the Food Futures Conference in Villa Vigoni, Italy, in April 2013, including the core research questions raised during the meeting as well as some of the challenges involved in realizing their research ambitions within their professional spheres

Earth observation for drought risk financing in pastoral systems of sub-Saharan Africa

As climate-related crises increase globally, climate risk financing is becoming an integral part of financial protection and resilience building strategies of African countries. Drought-induced crises result in devastating human impacts and high costs for vulnerable countries, threatening longer-term investments and development efforts. While earth observation (EO) has been widely used for drought early warning, new opportunities emerge from integrating EO data and methods into index-based drought risk financing (IBDRF) instruments. Such instruments aim at supporting an effective and timely response during drought shocks and improving the resilience of small-holder farmers and livestock keepers. This review documents the current status, and discusses future prospects and potential challenges for EO utilization in IBDRF applications in sub-Saharan Africa. We focus on pastoral systems, which are hotspots in terms of vulnerability to climate and environmental change, food insecurity, poverty, and conflicts. In these systems, EO-based IBDRF interventions are rapidly scaling up as part of national and international risk management strategies

Влияние фенилгидразина и алкилсульфатов на осмотическую чувствительность эритроцитов млекопитающих

Показано, что чувствительность эритроцитов млекопитающих к гипертоническому стрессу при 37 °С после обработки фенилгидразином зависит от видовой принадлежности клеток. Установлено, что модификация фенилгидразином эритроцитов млекопитающих приводит к снижению антигемолитической активности алкилкилсульфатов в условиях гипертонического стресса.Показано, що чутливість еритроцитів ссавців до гіпертонічного стресу при 37 °С після обробки фенілгідразином залежить від видової приналежності клітин. Встановлено, що модифікація фенілгідразином еритроцитів ссавців призводить до зниження антигемолітичної активності алкілсульфатів в умовах гіпертонічного стресу.It is shown that the sensitivity of mammalian erythrocytes to hypertonic stress at 37 °C after the treatment with phenylhydrazine depends on the species of a cell. We have established that the modification with phenylhydrazine of mammalian erythrocytes leads to a decrease of the alkyl sulfates antihemolytic activity under hypertonic stress

The impact of loco-regional recurrences on metastatic progression in early-stage breast cancer: a multistate model

To study whether the effects of prognostic factors associated with the occurrence of distant metastases (DM) at primary diagnosis change after the incidence of loco-regional recurrences (LRR) among women treated for invasive stage I or II breast cancer. The study population consisted of 3,601 women, enrolled in EORTC trials 10801, 10854, or 10902 treated for early-stage breast cancer. Data were analysed in a multivariate, multistate model by using multivariate Cox regression models, including a state-dependent covariate. The presence of a LRR in itself is a significant prognostic risk factor (HR: 3.64; 95%-CI: 2.02-6.5) for the occurrence of DM. Main prognostic risk factors for a DM are young age at diagnosis (</=40: HR: 1.79; 95%-CI: 1.28-2.51), larger tumour size (HR: 1.58; 95%-CI: 1.35-1.84) and node positivity (HR: 2.00; 95%-CI: 1.74-2.30). Adjuvant chemotherapy is protective for a DM (HR: 0.66; 95%-CI: 0.55-0.80). After the occurrence of a LRR the latter protective effect has disappeared (P = 0.009). The presence of LRR in itself is a significant risk factor for DM. For patients who are at risk of developing LRR, effective local control should be the main target of therapy

Evaluating erosion from space: a case study near Uberlândia

Satellites can offer important spatial data for the assessment of soil erosion. This study was conducted to explore how satellite imagery could be used for evaluating erosion in a 10*10 km area in the Brazilian Cerrados. Products obtained from a variety of satellite sensors were analyzed for the purpose of (1) detecting erosion features; and (2) qualitatively mapping erosion risk. Erosion detection was done through visual image interpretation. Optical TerraASTER images allowed for a better detection and delineation of major gullies as ENVISAT ASAR imagery. Gully dynamics could be assessed by jointly interpreting aerial photos of 1979 and a high-resolution QuickBird image of 2003. QuickBird also allowed for the detection of smaller erosion features, like rills. Erosion risk mapping was performed for the complete study area with a simple qualitative method integrating information on slope and vegetation cover. Slope was calculated from the SRTM DEM, and NDVI, being indicative of vegetation cover, was obtained from a wet-season ASTER image. Both factors were automatically classified based on their relative susceptibility to erosion. The erosion risk map was constructed by combining both classifications with the minimum-operator. The accuracyof the map was good (75 %) when compared to field estimates of erosion risk. The method presented therefore allowed for a quick and proper indication of spatial differences of erosion risk in the study area, particularly concerning rill and sheet erosion

Extraction of bodily features for gait recognition and gait attractiveness evaluation

This is the author's accepted manuscript. The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-012-1319-2. Copyright @ 2012 Springer.Although there has been much previous research on which bodily features are most important in gait analysis, the questions of which features should be extracted from gait, and why these features in particular should be extracted, have not been convincingly answered. The primary goal of the study reported here was to take an analytical approach to answering these questions, in the context of identifying the features that are most important for gait recognition and gait attractiveness evaluation. Using precise 3D gait motion data obtained from motion capture, we analyzed the relative motions from different body segments to a root marker (located on the lower back) of 30 males by the fixed root method, and compared them with the original motions without fixing root. Some particular features were obtained by principal component analysis (PCA). The left lower arm, lower legs and hips were identified as important features for gait recognition. For gait attractiveness evaluation, the lower legs were recognized as important features.Dorothy Hodgkin Postgraduate Award and HEFCE

Risk assessment from space: Integrating satellite-derived insights for ESG financial decisions

This paper explores how satellite data can be used in sustainable investment analyses by offering a granular approach that differs from conventional environmental, social and governance (ESG) scores. The paper showcases the spatial relationship between abattoir locations and deforestation in Brazil, using asset-level and land coverage data to assess the environmental risks tied to beef traders’ sourcing practices. This approach provides a tool for investors concerned with climate risks who seek alternatives to existing ESG metrics. The findings highlight the benefits of integrating satellite data to comprehensively address material risks associated with some industries