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Studien syftar till att undersöka klimatmedvetenhet i relation till matvanor hos en grupp unga svenska vuxna, och att undersöka dess samband med fysisk aktivitetsnivå och kön. Följande forskningsfrågor ställdes: Hur kan sambandet mellan matvanor, aktivitetsnivåer och kön förstås i termer av energiintag, koldioxidavtryck och proteinkällor? Hur påverkar olika aspekter av matvanor koldioxidavtrycket? Hur beaktas hållbarhet inom ramen för matvanor? Denna studie använde en mixed-method-ansats som kombinerade intervjuer och data från projektet Measuring Energy Expenditure and Dietary Intake at Different Activity Levels (MEDAL). En sju dagars matregistrering gav detaljerade insikter i deltagarnas matintag med fokus på proteinkällor och koldioxidavtryck (CO2e). Deltagare i åldrarna 18-40 rekryterades från Göteborgs universitet och lokala idrottsklubbar mellan oktober 2020 och april 2021. De delades in i två grupper baserat på deras fysiska aktivitetsnivåer, enligt WHO riktlinjer. Datainsamlingen inkluderade semistrukturerade intervjuer och en sju dagars matregistrering med hjälp av onlineverktyget Nutrition Data. Energiförbrukning i vila mättes med indirekt kalorimetri. Intervjuerna undersökte matköpsvanor, kostpreferenser och klimatpåverkan utan att direkt informera deltagarna om klimatfokuset för att undvika bias. Kvantitativa data analyserades med statistiska tester, medan kvalitativa insikter triangulerades med kostregistreringarna för att bedöma eventuellt klimatmedvetna och hållbara matvanor. Analysen guidades av social praktik teori, med fokus på samspelet mellan deltagarnas attityder och beteenden. Statistisk analys genomfördes med SPSS, och signifikanta resultat bestämdes med ett p-värde på 0,05 eller lägre. This study employed a mixed-method approach combining interviews and data from the Measuring Energy Expenditure and Dietary Intake at Different Activity Levels (MEDAL) project. A seven-day food record provided detailed insights into participants' food intake, focusing on protein sources and carbon footprint (CO2e). Participants, aged 18-40, were recruited from Gothenburg University and local sports clubs between October 2020 and April 2021. They were divided into two groups based on their physical activity levels, following WHO guidelines. Data collection included semi-structured interviews and a seven-day food record using the Nutrition Data online tool. Resting energy expenditure was measured using indirect calorimetry. The interviews explored food shopping habits, dietary preferences, and climate impact considerations without directly informing participants of the climate focus to avoid bias. Quantitative data were analyzed with statistical tests, while qualitative insights were triangulated with food records to assess climate-conscious and sustainable food consumption practices. The analysis was guided by social practice theory, focusing on the interplay between participants' attitudes and behaviors. Statistical analysis was conducted using SPSS, and significant findings were determined with a p-value of 0.05 or lower.

Synopsis Climate change can directly and indirectly affect species distribution. Warming may allow for invasive species, such as apple snails, to migrate to higher latitudes where temperatures are more conducive to their survival and invasion success. Higher temperatures and lower pH ranges have been previously documented to affect the form and function of calcium carbonate shells, which serve many functions, including protection from predators and thermoregulation. This study aimed to quantify differences in the morphology and mechanical properties of invasive apple snail, Pomacea maculata, shells after altering temperature and pH. We mechanically tested shells among three five-week treatments: control, higher temperature, and lower pH. Ultimate Strength increased in shells that were exposed to higher temperatures, but Young’s Modulus and Peak Load did not differ among control, temperature, and pH treatments. Apple snails in higher temperature tanks increased their shell length over the five-week trials. Although snail morphometrics did not differ between sexes, male shells exhibited a higher Peak Load, Young’s Modulus, and Ultimate Strength compared to female shells. Our findings are consistent with previous gastropod studies, in that a lower pH is associated with a decrease in shell size, and higher temperatures yield larger snail shells with a higher ultimate strength. Peak Load did not significantly differ among treatments, which suggests that the cross-sectional area is relatively important when considering this species mechanical performance today and in future climates. Due to the intense nutritional and calcium demands of egg production, female snails may be more susceptible to weakened shells due to low pH environments caused by climate change.

Ostrava in the Moravian-Silesian region (Czech Republic) is a European air pollution hot spot for airborne particulate matter (PM), polycyclic aromatic hydrocarbons (PAHs), and ultrafine particles (UFPs). Air pollution source apportionment is essential for implementation of successful abatement strategies. UFPs or nanoparticles of diameter <100 nm exhibit the highest deposition efficiency in human lungs. To permit apportionment of PM sources at the hot-spot including nanoparticles, Positive Matrix Factorization (PMF) was applied to highly time resolved particle number size distributions (NSD, 14 nm-10 μm) and PM0.09-1.15 chemical composition. Diurnal patterns, meteorological variables, gaseous pollutants, organic markers, and associations between the NSD factors and chemical composition factors were used to identify the pollution sources. The PMF on the NSD reveals two factors in the ultrafine size range: industrial UFPs (28%, number mode diameter - NMD 45 nm), industrial/fresh road traffic nanoparticles (26%, NMD 26 nm); three factors in the accumulation size range: urban background (24%, NMD 93 nm), coal burning (14%, volume mode diameter - VMD 0.5 μm), regional pollution (3%, VMD 0.8 μm) and one factor in the coarse size range: industrial coarse particles/road dust (2%, VMD 5 μm). The PMF analysis of PM0.09-1.15 revealed four factors: SIA/CC/BB (52%), road dust (18%), sinter/steel (16%), iron production (16%). The factors in the ultrafine size range resolved with NSD have a positive correlation with sinter/steel production and iron production factors resolved with chemical composition. Coal combustion factor resolved with NSD has moderate correlation with SIA/CC/BB factor. The organic markers homohopanes correlate with coal combustion and the levoglucosan correlates with urban background. The PMF applications to NSD and chemical composition datasets are complementary. PAHs in PM1 were found to be associated with coal combustion factor.

Artículos en revistas Advanced Metering Infrastructures (AMI) represent one of the first steps in the Smart Grid process, where Power Line Communication (PLC) is emerging as the most costeffective solution since it allows reusing electric infrastructures as communication channel. However, the performance of this technology is highly affected by the characteristics of the existing distribution network. This article presents a thorough sensitivity analysis to assess the operating limits of smart metering applications for multiple representative configurations of low voltage (LV) networks based on a PLC simulation framework that integrates DLMS/COSEM and PRIME standards. The number of registered nodes and the time to read all meters have been defined as Key Performance Indicators to assess the communication performance. The conclusions drawn from this study provide useful information for the integration of smart meter applications that take advantage of AMI under different local conditions. info:eu-repo/semantics/publishedVersion

The paper presents a computer simulation of the operation of three independent electric drives with a periodic load, connected to a common power supply network. Two cases are considered - operation of electric drives in one phase and in different phases. An analysis of their impact on the electrical supply network is carried out, the results are compared with the permissible Russian standards. An analytical optimization method based on the analysis of power graphs of electric drives with periodic load was considered. The article contains an overview of possible methods for regulating the working phase of the mechanism.

Bioenergy crops are well known for their ability to reduce greenhouse gas emissions and increase the soil carbon stock. Although such crops are often held to be in competition with food crops and thus raise the question of current and future food security, at the same time mitigation measures are required to tackle climate change and sustain local farming communities and crop production. However, in some cases the actions envisaged for specific pedo-climatic conditions are not always economically sustainable by farmers. In this frame, energy crops with high environmental adaptability and yields, such as giant reed (Arundo donax L.), may represent an opportunity to improve farm incomes, making marginal areas not suitable for food production once again productive. In so doing, three of the 17 Sustainable Development Goals (SDGs) of the United Nations would be met, namely SDG 2 on food security and sustainable agriculture, SDG 7 on reliable, sustainable and modern energy, and SDG 13 on action to combat climate change and its impacts. In this work, the response of giant reed in the marginal areas of an agricultural district of southern Italy (Destra Sele) and expected farm incomes under climate change (2021-2050) are evaluated. The normalized water productivity index of giant reed was determined (WP; 30.1gm-2) by means of a SWAP agro-hydrological model, calibrated and validated on two years of a long-term field experiment. The model was used to estimate giant reed response (biomass yield) in marginal areas under climate change, and economic evaluation was performed to determine expected farm incomes (woodchips and chopped forage). The results show that woodchip production represents the most profitable option for farmers, yielding a gross margin 50% lower than ordinary high-input maize cultivation across the study area.

This paper studies the initiation of a partnership between a corporation and a nongovernmental organization (NGO) for environmentally sustainable innovation, as well as its development over time. Proceeding from a dynamic capabilities approach, it provides a retrospective, longitudinal examination of a 10-year partnership between KLM Royal Dutch Airlines (KLM) and the World Wildlife Fund for Nature Netherlands (WNF), which promoted a market for aviation biofuels. The case study suggests that the progress of the partnership is determined by three specific dynamic capabilities of KLM and WNF: learning, coordination, and reconfiguration. The results reveal two microfoundations for each of these dynamic capabilities. For learning, these microfoundations are the sensing of strategic partners and the co-specialization of resources. For coordination, these consist of finding a fit between partners and having an integrated mission. Finally, the microfoundations of reconfiguration are the fostering of an institutional dialogue and the setting of new industry standards. This study is beneficial to scholars as it opens a research avenue concerning the dynamic capabilities and microfoundations that support corporate-NGO partnering for environmentally sustainable innovation. Practitioners can use these dynamic capabilities and microfoundations as guidelines for developing their own specific corporate-NGO partnerships.

This study explores the use of energy savings technologies in timber production for wood housing construction. Methods applied were based on the creation of system of optimized regimes of drying of sawn timber was carried out in two stages: computing experiment with the tools of MathCAD and production experiment. The findings discovered the following tendency: however the minimum cost of energy is achieved at the minimum time of drying that is explained by an essential difference in the cost of thermal and electric energy. The regimes of steeples structure received by computer modeling allow receiving sawn timber that fully meets the requirements of the consumer without application of moisture treatment and the conditioning processing. The developed technique of formation of the steeples regimes of drying of sawn timber allows determining structure and sizes of parameters of the regime depending on the required quality of drying and energy costs on its carrying out. Calculations of technical and economic efficiency have shown that the total annual economic effect in more than 17 dollars per 1 m3 and it can be extended by including on power component. © 2018 CEUR-WS. All rights reserved. The work is carried out based on the task on fulfilment of government contractual work in the field of scientific activities as a part of base portion of the state task of the Ministry of Education and Science of the Russian Federation to Ural State Forest Engineering University (the # 26.8660.2017/8.9 "The Research Methodology of Forms of Economic and Technological Reality in the Aspect of Sustainable Forest Management").