Helsinki Metropolia University of Applied Sciences
UniversityHelsinki, Finland
Research output, citation impact, and the most-cited recent papers from Helsinki Metropolia University of Applied Sciences (Finland). Aggregated across the NobleBlocks index of 300M+ scholarly works.
Top-cited papers from Helsinki Metropolia University of Applied Sciences
Significance We report the significant presence of traffic-originated nanocluster aerosol (NCA) particles in a particle diameter range of 1.3–3.0 nm of urban air, determine the emission factors for the NCA, and evaluate its global importance. Our findings are important because they significantly update the current understanding of atmospheric aerosol in urban areas. They demonstrate that in urban air, extremely small particles form a significant fraction of the total particle number and are a direct result of anthropogenic emissions, that is, the emissions from road traffic. Thus, our findings also imply that in urban areas, an atmospheric nucleation process is not necessary for the formation of a large number of particles that affect population health and climate.
One thousand job advertisements in four occupational categories (marketing, general management, finance, human resource management) appearing in a number of graduate recruitment databases over a two-year period were examined in an attempt to obtain an objective assessment of the transferable personal skills demanded of graduate job applicants. It emerged that advertisements within each category were significantly more likely to ask for certain skills potentially relevant to jobs within that category than for others. Advertisements for managerial and highly paid jobs also tended to request particular sets of skills. The personnel managers or other executives concerned with graduate recruitment in 500 of the companies that had placed the advertisements were sent a questionnaire concerning their reasons for stipulating the personal skills mentioned in their firms' advertisements for graduate employees. Logical motives for including interpersonal skills requirements in job advertisements were cited by the majority of the respondents. Two-thirds of the companies used formal job analysis to determine the personal skills specified in advertisements.
Black carbon is emitted from the incomplete combustion of carbonaceous fuels and will detrimentally affect air quality, climate and human health. In this study, equivalent black carbon (eBC) concentrations were measured by using an aethalometer (AE33) at three different locations in the Helsinki metropolitan area, Finland from October 2015 to May 2017. One sampling site was located in an urban street canyon (SC, sampling period 18 months) and two of the sampling sites were located in suburban detached house (DH) areas (DH1, 13 months and DH2, 5 months). Based on the campaign averages, the eBC concentration levels were higher at the street canyon site (1690 ± 1520 ng/m3) than at the residential detached house areas (DH1 = 880 ± 1500 ng/m3 and DH2 = 1040 ± 2130 ng/m3). The contribution of eBC from fossil fuel (BCFF) and wood burning (BCWB) were estimated based on the spectral dependence of light absorption of different sources. The spectral behavior is described using absorption Ångström exponent (α) values for both fossil fuel (αFF) and wood burning (αWB) that were determined using concurrent wood burning tracer (levoglucosan) measurements. Based on the source apportionment, the contribution of BCWB to eBC was clearly higher at the detached house area sites DH1 (41 ± 14%) and DH2 (46 ± 15%) than at the urban street canyon site (15 ± 14%). A distinct seasonal dependency was observed in the eBC concentration levels at the detached house areas. The highest concentrations were detected during the cold seasons due to residential wood combustion. On the opposite, at the SC site, the concentration levels of eBC were rather constant throughout the campaign, being dominated by the BCFF emissions from close-by vehicular traffic. Substantial temporal and spatial variability in eBC concentrations and sources were observed within the Helsinki metropolitan area. eBC is shown to be closely tied to the characteristics of the measurement site, season, meteorological conditions and the time of the day.
Accurate terrain models are a crucial component of studies of river channel evolution. In this paper we describe a new methodology for creating high-resolution seamless digital terrain models (DTM) of river channels and their floodplains. We combine mobile laser scanning and low-altitude unmanned aerial vehicle (UAV) photography-based methods for creating both a digital bathymetric model of the inundated river channel and a DTM of a point bar of a meandering sub-arctic river. We evaluate mobile laser scanning and UAV-based photogrammetry point clouds against terrestrial laser scanning and combine these data with an optical bathymetric model to create a seamless DTM of two different measurement periods. Using this multi-temporal seamless data, we calculate a DTM of difference that allows a change detection of the meander bend over a one-year period.
In the World Health Organization/United Nations Children's Fund document Baby-Friendly Hospital Initiative: Revised, Updated and Expanded for Integrated Care, neonatal care is mentioned as 1 area that would benefit from expansion of the original Ten Steps to Successful Breastfeeding. The different situations faced by preterm and sick infants and their mothers, compared to healthy infants and their mothers, necessitate a specific breastfeeding policy for neonatal intensive care and require that health care professionals have knowledge and skills in lactation and breastfeeding support, including provision of antenatal information, that are specific to neonatal care. Facilitation of early, continuous, and prolonged skin-to-skin contact (kangaroo mother care), early initiation of breastfeeding, and mothers' access to breastfeeding support during the infants' whole hospital stay are important. Mother's own milk or donor milk (when available) is the optimal nutrition. Efforts should be made to minimize parent-infant separation and facilitate parents' unrestricted presence with their infants. The initiation and continuation of breastfeeding should be guided only by infant competence and stability, using a semi-demand feeding regimen during the transition to exclusive breastfeeding. Pacifiers are appropriate during tube-feeding, for pain relief, and for calming infants. Nipple shields can be used for facilitating establishment of breastfeeding, but only after qualified support and attempts at the breast. Alternatives to bottles should be used until breastfeeding is well established. The discharge program should include adequate preparation of parents, information about access to lactation and breastfeeding support, both professional and peer support, and a plan for continued follow-up.
Airborne laser scanning (ALS) has demonstrated utility for forestry applications and has renewed interest in other forms of remotely sensed data, especially those that capture three-dimensional (3-D) forest characteristics. One such data source results from the advanced processing of high spatial resolution digital stereo imagery (DSI) to generate 3-D point clouds. From the derived point cloud, a digital surface model and forest vertical information with similarities to ALS can be generated. A key consideration is that when developing forestry related products such as a canopy height model (CHM), a high spatial resolution digital terrain model (DTM), typically from ALS, is required to normalize DSI elevations to heights above ground. In this paper we report on our investigations into the use of DSI-derived vertical information for capturing variations in forest structure and compare these results to those acquired using ALS. An ALS-derived DTM was used to provide the spatially detailed ground surface elevations to normalize DSI-derived heights. Similar metrics were calculated from the vertical information provided by both DSI and ALS. Comparisons revealed that ALS metrics provided a more detailed characterization of the canopy surface including canopy openings. Both DSI and ALS metrics had similar levels of correlation with forest structural attributes (e.g., height, volume, and biomass). DSI-based models predicted height, diameter, basal area, stem volume, and biomass with root mean square (RMS) accuracies of 11.2%, 21.7%, 23.6%, 24.5%, and 23.7%, respectively. The respective accuracies for the ALS-based predictions were 7.8%, 19.1%, 17.8%, 17.9%, and 17.5%. Change detection between ALS-derived CHM (time 1) and DSI-derived CHM (time 2) provided change estimates that demonstrated good agreement (r = 0.71) with two-date, ALS only, change outputs. For the single-layered, even-aged stands under investigation in this study, the DSI-derived vertical information is an appropriate and cost-effective data source for estimating and updating forest information. The accuracy of DSI information is based on a capability to measure the height of the upper canopy envelope with performance analogous to ALS. Forest attributes that are well captured and subsequently modeled from height metrics are best suited to estimation from DSI metrics, whereas ALS is more suitable for capturing stand density. Further investigation is required to better understand the performance of DSI-derived height products in more complex forest environments. Furthermore, the difference in variance captured between ALS and DSI-derived CHM also needs to be better understood in the context of change detection and inventory update considerations.
Vehicle technology development and upcoming particle emission limits have increased the need for detailed analyses of particle emissions of vehicles using gasoline direct injection (GDI) techniques. In this paper the particle emission characteristics of modern GDI passenger cars were studied in a laboratory and on the road, with the focus on exhaust particle number emissions, size distributions, volatility and morphology. Both during acceleration and steady conditions the number size distribution of nonvolatile exhaust particles consisted of two modes, one with mean particle size below 30 nm and the other with mean particle size approximately 70 nm. Results indicate that both of these particles modes consisted of soot but with different morphologies. Both in laboratory and on the road, significant emissions of exhaust particles were observed also during decelerations conducted by engine braking. These particles are most likely originating from lubricant oil ash components. The semivolatile nucleation particles were observed in the laboratory experiments at high engine load conditions. Thus, in general, the study indicates that a modern gasoline vehicle can emit four distinctive types of exhaust particles. The differences in particle characteristics and formation should be taken into account in the development of emission control strategies and technologies and, on the other hand, in the assessment of the impact of particle emissions on environment and human health.
Mobility services are evolving globally. Driverless public transport can be a game-changer for urban mobility. However, empirical evidence from the point of user experiences is lacking. A customer's sense of safety and security has a significant influence on public transport acceptance. This case study focuses on driverless shuttle bus passengers' subjective experiences of (a) traffic safety, (b) in-vehicle security, and (c) emergency management compared to the conventional bus. Data were collected through interviews from informants that travelled by driverless shuttle busses in the City of Vantaa, Finland in summer 2015. A total of 19,021 passengers travelled by 3,962 km autonomous buses on a specific route. The sample of 197 informants was analysed by quantitative methods. Informants assessed perception of traffic safety to be better in the driverless shuttle bus than in a conventional bus with a driver. However, they were lacking personal in-vehicle security. 64 per cent of passengers answered that sense of in-vehicle security in the driverless shuttle bus was worse or much worse than in the conventional bus. There was a significant difference between women and men when they evaluated their subjective sense of security on board F (1, 195) = 8.196, p < 0.001. Men assessed their experiences of traffic safety, in-vehicle security and emergency management to be overall better than those of women. In order to mainstream the use of driverless shuttle buses, for example as a part of a transport chain, traffic safety is not a problem. Instead, a passenger's sense of security on board should be increased. This is the case especially with female passengers.
In the globalized world with crucial technological changes, leaders are facing unforeseen opportunities as well as challenges while striving to reach their objectives. Such changes have led to organizational restructurings and implied rethinking of leadership functions and practices. Changing organizational structures, from traditional hierarchical towards lower and more flexible ones, have made leaders organize work in new ways. Teams account for one new way of organizing work and reaching organizational goals. Likewise, globalized markets have made leaders search for new solutions to meet the needs of customers. In consequence, organizations strive for competitive advantages through downsizing, subcontracting, joint ventures, strategic alliances, and other collaborative and network-based alternatives which are typically facilitated by virtual teams. Virtual teams are geographically and organizationally dispersed teams that function over time zones. Due to such dispersion, physical contact in virtual teams is reduced or lacking altogether which means that collaboration is enabled by IT-solutions such as computer- based communication. This kind of electronically facilitated team work is known to imply opportunities as well as challenges for today's global e-leaders. Research on virtual teams suggests that organizational success greatly depends on leadership. However, it remains unclear what kind of leaders, and more specifically, which leadership skills, behaviors or practices contribute to effective virtual teams. To add knowledge on the field and fill such research gap, this article aims at exploring e-leadership and answering these questions.
Autonomous vehicles, electrification, and ride-sharing appear to be the next big change in the field of mobility. It can lead to safer roads, less congestion, and reduced parking. In this research, we focus on real-life user experiences of a driverless shuttle bus. We are interested to know what kind of perceptions and feelings people have when they travel in an autonomous shuttle bus. Therefore, we apply Harry Triandis´ Theory of Interpersonal Behaviour (TIB), which recognizes that human behavior is not always rational. Human behaviour, and its change, is linked to the intention, the habitual responses, and the situational constraints and conditions. The qualitative data (n = 44) were collected in 2017 by semi-structured interviews in Espoo, Finland. The interviewees were passengers who travelled a predefined route in a driverless shuttle bus. We applied inductive content analysis. The findings were compared in the theoretical framework of TIB. According to the results, a lack of human driver was not a problem for the passengers. They were surprised how safe and secure they felt in the autonomous vehicle. More specifically, passengers´ perceptions were similar to when travelling by a metro or a tram, where a passenger rarely interacts with the driver, or even witnesses the existence of the driver. However, the results suggest that people are much more intolerant of accidents caused by autonomous vehicles than by humans. On a general level, positive attitudes towards autonomous vehicles can be supported by giving people possibilities to try autonomous vehicles in a safe, real-life environment. The decision whether to use a driverless shuttle bus or not correlates highly with the contextual factors. Route and flexibility are the most important reasons for behavioral changes.
OBJECTIVES: The aim of this systematic review was to evaluate the effectiveness of educational interventions in digital collaborative learning implemented in nursing education. DESIGN: A systematic literature review of randomised controlled trials (RCTs) was carried out in accordance with Joanna Briggs Institute (JBI) and Centre for Reviews and Dissemination guidelines and the PRISMA statement. DATA SOURCES: CINAHL (EBSCO), ERIC, MEDLINE (Ovid) and Scopus databases were used to identify original peer-reviewed RCT studies published between 2003 and 2018. REVIEW METHOD: The 'hits' were systematically screened by title, abstract and full text by two authors acting independently. The quality of the selected original studies was evaluated using the quality assessment criteria of the JBI and Cochrane collaboration's tool for assessing risk of bias in randomised trials. The studies were analysed by narrative synthesis. RESULTS: Five peer-reviewed RCT studies were included in the review. All participants in these studies (647 in total) were nursing students exposed to educational interventions in various nursing programme courses. The reviewed studies indicated that digital collaborative learning increased students' knowledge and nursing skills. The results show that collaborative learning in digital learning environments enhanced nursing students' interaction and collaborative skills, problem-solving skills, satisfaction and motivation for learning. CONCLUSION: Collaborative learning in digital learning environments has encouraging effects in enhancing nursing students' knowledge, competence, satisfaction and problem-solving skills. Moreover, evidence-based digital collaborative learning is becoming increasingly effective in nursing education, as available tools and teachers' abilities to use them are improving and providing new learning activities to boost students' learning outcomes in higher education. Thus, its systematic use in digital collaborative learning environments in various nursing courses is recommended.
Direct catalytic valorization of bioethanol to 1-butanol over different alumina supported catalysts was studied. Thirteen (13) heterogeneous catalysts were screened in search for the optimal material composition for direct one-pot conversion of ethanol to 1-butanol. For the most promising catalyst, a 25% ethanol conversion with 80% selectivity (among liquid carbon products) to 1-butanol could be reached at 250 °C. Additionally, the reaction kinetics and mechanisms were further investigated upon use of the most suitable catalyst candidate.
The design process of direct-driven permanent-magnet (PM) synchronous machines (PMSMs) for a full electric 4 × 4 sports car is presented. The rotor structure of the machine consists of two PM layers embedded inside the rotor laminations, thus resulting in some inverse saliency, where the q-axis inductance is larger than the d-axis one. An integer slot stator winding was selected to fully take advantage of the additional reluctance torque. The performance characteristics of the designed PMSMs were calculated by applying a 2-D finite-element method. Cross saturation between the d- and q-axes was taken into account in the calculation of the synchronous inductances. The calculation results are validated by measurements.
Non-exhaust traffic induced emissions are a major source of particle mass in most European countries. This is particularly important in Nordic and Alpine countries where winter time road traction maintenance occurs, e.g. salting and sanding, and where studded tyres are used. In this paper, Part 1, the road dust sub-model of a coupled road dust and surface moisture model (NORTRIP) is described. The model provides a generalised process based formulation of the non-exhaust emissions, with emphasis on the contribution of road wear, suspension, surface dust loading and the effect of road surface moisture (retention of wear particles and suspended emissions). The model is intended for use as a tool for air quality managers to help study the impact of mitigation measures and policies. We present a description of the road dust sub-model and apply the model to two sites in Stockholm and Copenhagen where seven years of data with surface moisture measurements are available. For the site in Stockholm, where studded tyres are in use, the model predicts the PM10 concentrations very well with correlations (R2) in the range of R2 = 0.76–0.91 for daily mean PM10. The model also reproduces well the impact of a reduction in studded tyres at this site. For the site in Copenhagen the correlation is lower, in the range 0.44–0.51. The addition of salt is described in the model and at both sites this leads to improved correlations due to additional salt emissions. For future use of the model a number of model parameters, e.g. wear factors and suspension rates, still need to be refined. The effect of sanding on PM10 emissions is also presented but more information will be required before this can be confidently applied for management applications.
Abstract The absorption Ångström exponent (AAE) describes the spectral dependence of light absorption by aerosols. AAE is typically used to differentiate between different aerosol types for example., black carbon, brown carbon, and dust particles. In this study, the variation of AAE was investigated mainly in fresh aerosol emissions from different fuel and combustion types, including emissions from ships, buses, coal‐fired power plants, and residential wood burning. The results were assembled to provide a compendium of AAE values from different emission sources. A dual‐spot aethalometer (AE33) was used in all measurements to obtain the light absorption coefficients at seven wavelengths (370–950 nm). AAE470/950 varied greatly between the different emission sources, ranging from −0.2 ± 0.7 to 3.0 ± 0.8. The correlation between the AAE470/950 and AAE370‐950 results was good (R2 = 0.95) and the mean bias error between these was 0.02. In the ship engine exhaust emissions, the highest AAE470/950 values (up to 2.0 ± 0.1) were observed when high sulfur content heavy fuel oil was used, whereas low sulfur content fuels had the lowest AAE470/950 (0.9–1.1). In the diesel bus exhaust emissions, AAE470/950 increased in the order of acceleration (0.8 ± 0.1), deceleration (1.1 ± 0.1), and steady driving (1.2 ± 0.1). In the coal‐fired power plant emissions, the variation of AAE470/950 was substantial (from −0.1 ± 2.1 to 0.9 ± 1.6) due to the differences in the fuels and flue gas cleaning conditions. Fresh wood‐burning derived aerosols had AAE470/950 from 1.1 ± 0.1 (modern masonry heater) to 1.4 ± 0.1 (pellet boiler), lower than typically associated with wood burning, while the burn cycle phase affected AAE variation.
Abstract. Four measurement campaigns were performed in two different environments – inside the harbour areas in the city centre of Helsinki, and along the narrow shipping channel near the city of Turku, Finland – using a mobile laboratory van during winter and summer conditions in 2010–2011. The characteristics of gaseous (CO, CO2, SO2, NO, NO2, NOx) and particulate (number and volume size distributions as well as PM2.5) emissions for 11 ships regularly operating on the Baltic Sea were studied to determine the emission parameters. The highest particle concentrations were 1.5 × 106 and 1.6 × 105 cm−3 in Helsinki and Turku, respectively, and the particle number size distributions had two modes. The dominating mode peaked at 20–30 nm, and the accumulation mode at 80–100 nm. The majority of the particle mass was volatile, since after heating the sample to 265 °C, the particle volume of the studied ship decreased by around 70%. The emission factors for NOx varied in the range of 25–100 g (kg fuel)−1, for SO2 in the range of 2.5–17.0 g (kg fuel)−1, for particle number in the range of (0.32–2.26) × 1016 # (kg fuel)−1, and for PM2.5 between 1.0–4.9 g (kg fuel)−1. The ships equipped with SCR (selective catalytic reduction) had the lowest NOx emissions, whereas the ships with DWI (direct water injection) and HAMs (humid air motors) had the lowest SO2 emissions but the highest particulate emissions. For all ships, the averaged fuel sulphur contents (FSCs) were less than 1% (by mass) but none of them was below 0.1% which will be the new EU directive starting 1 January 2015 in the SOx emission control areas; this indicates that ships operating on the Baltic Sea will face large challenges.
Airborne scanning LiDAR is a promising technique for efficient and accuratebiomass mapping due to its capacity for direct measurement of the three-dimensionalstructure of vegetation. A combination of individual tree detection (ITD) and an area-basedapproach (ABA) introduced in Vastaranta et al. [1] to map forest aboveground biomass(AGB) and stem volume (VOL) was investigated. The main objective of this study was totest the usability and accuracy of LiDAR in biomass mapping. The nearest neighbourmethod was used in the ABA imputations and the accuracy of the biomass estimation wasevaluated in the Finland, where single tree-level biomass models are available. The relativeroot-mean-squared errors (RMSEs) in plot-level AGB and VOL imputation were 24.9%and 26.4% when field measurements were used in training the ABA. When ITDmeasurements were used in training, the respective accuracies ranged between 28.5%–34.9%and 29.2%–34.0%. Overall, the results show that accurate plot-level AGB estimates can beachieved with the ABA. The reduction of bias in ABA estimates in AGB and VOL wasencouraging when visually corrected ITD (ITDvisual) was used in training. We conclude that itis not feasible to use ITDvisual in wall-to-wall forest biomass inventory, but it could provide acost-efficient application for acquiring training data for ABA in forest biomass mapping.
Prior research has emphasized the importance of bringing together quadruple helix (QH) actors (academia, industry, government and civil society) to strengthen regional innovation. The QH model forms an integral part of European innovation policy, which aims to create sustainable and inclusive growth in Europe. As part of this policy, European Union (EU) regions are to design and implement research and innovation strategies for smart specialization (RIS3) through the participatory entrepreneurial discovery process (EDP). Despite the strong emphasis on the QH model, the model is still far from a well-established concept in innovation research and policy, and civil society participation in RIS3 has remained low. Our paper aims to support regional governments to engage with and facilitate the participation of civil society in a territorial EDP based on two case studies from Finland and Sweden. It contributes to the literature on regional innovation systems through identifying mechanisms to foster the QH model and suggests lessons learnt for the operationalization of the QH model as part of RIS3.
The performance of various mobile laser scanning systems was tested on an established urban test field. The test was connected to the European Spatial Data Research (EuroSDR) project “Mobile Mapping—Road Environment Mapping Using Mobile Laser Scanning”. Several commercial and research systems collected laser point cloud data on the same test field. The system comparisons focused on planimetric and elevation errors using a filtered digital elevation model, poles, and building corners as the reference objects. The results revealed the high quality of the point clouds generated by all of the tested systems under good GNSS conditions. With all professional systems properly calibrated, the elevation accuracy was better than 3.5 cm up to a range of 35 m. The best system achieved a planimetric accuracy of 2.5 cm over a range of 45 m. The planimetric errors increased as a function of range, but moderately so if the system was properly calibrated. The main focus on mobile laser scanning development in the near future should be on the improvement of the trajectory solution, especially under non-ideal conditions, using both improvements in hardware and software. Test fields are relatively easy to implement in built environments and they are feasible for verifying and comparing the performance of different systems and also for improving system calibration to achieve optimum quality.
AIMS AND OBJECTIVES: The objective of this systematic review was to describe peer support interventions supporting breastfeeding during pregnancy and the postnatal period. BACKGROUND: Breastfeeding is an effective way to promote infants' health. Including a peer support element in breastfeeding programmes is a highly successful way to increase breastfeeding. DESIGN: A systematic literature review. METHODS: The review was conducted from the CINAHL, MEDLINE and the Cochrane Library databases from year 2000 until the end of February 2008. According to the inclusion criteria, the adopted studies focused on breastfeeding, breastfeeding support interventions and education of healthy mothers and infants from the perspective of mothers or family members. Additionally, the studies had to be conducted in Europe, North America, Australia or New Zealand to meet the criteria. Articles combining peer support and professional support were also included in the study. RESULTS: The results indicated that during pregnancy, hospitalisation and the postnatal period, individual support and education were used most commonly. Peer support was strongly associated with the postnatal period. The combination of professional support and peer support by trained and experienced peer supporters was effective in ensuring the continuation of breastfeeding. CONCLUSIONS: Only continuous breastfeeding support produces effective results. Diverse types of interventions are needed during different phases of motherhood. The role of peer support is most important during the postnatal period. If professional support is not available for mothers, peer support could provide an alternative worth considering. RELEVANCE TO CLINICAL PRACTICE: Professionals require breastfeeding education to act as breastfeeding supporters as well as the support of their organisations in this work. Moreover, professionals need to gain knowledge of the role of peer support regarding the efficient combination of professional support and peer support to increase breastfeeding.