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Found 6383 publications
Optimization and validation of HPLC–DAD method for simultaneous analysis of sweeteners, preservatives, and caffeine in sugar-free beverages
Publication Name: European Food Research and Technology
Publication Date: 2023-11-01
Volume: 249
Issue: 11
Page Range: 2797-2805
Description:
In this study, the optimization and performance evaluation of a high-performance liquid chromatography with diode array detection (HPLC–DAD) method for the simultaneous determination of four sweeteners (acesulfame-potassium, saccharin, aspartame, and rebaudioside A), two preservatives (sodium benzoate and potassium sorbate), and caffeine in sugar-free drinks are presented. The separation was carried out using a gradient elution of acetonitrile and phosphate buffer (12.5 mM, pH = 3.3) on a reversed-phase column. Under the optimized conditions, the method allowed for the specific and selective simultaneous separation of all target analytes in less than 9 min. The developed HPLC–DAD method was validated and demonstrated excellent linearity (all analytical curves showed R2 ≥ 0.9995), satisfactory accuracy (recovery values ranging between 94.1 and 99.2% in real samples), and repeatability (intra- and inter-day relative standard deviations were ≤ 2.49%). Overall, 69 products available in the Hungarian market were successfully tested with the applied method.
Open Access: Yes
Effect of the energy, carbohydrate, protein, and amino acid profile on the quality of ovum and embryo in cattle
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2021-03-01
Volume: 143
Issue: 3
Page Range: 145-159
Description:
In the present review, the authors summarize the potential effects of energy, carbohydrate, protein, and amino acid supplementation on the reproductive performance of dairy and beef cattle, focusing on the development and quality of the ovum and the preimplantation embryo. Excess dry matter and energy intake can have a positive or negative effect on the development of the preovulatory follicle and embryo, depending on the body condition, the physiological status and the actual milk production of the cows. In this review, the importance of hormones (e.g. insulin, insulin-like growth factor and leptin) were taken into consideration regarding their role in the reproductive performance of the dairy and beef cattle. Feeding high levels of non-fibre car-bohydrates (NFC) can lead to hyperinsulinaemia and deteriorating results in embryo production. It is well-known that the type and composition of carbohydrates in the diet alter several physiological processes, but there is no exact information about the effects of carbohydrate-composition on the follicular development and embryo quality. High protein intake, particularly the rumen degradable protein (RDP), increases plasma urea concentration. High urea levels can lead to poor reproductive performance in cattle. Urea has a direct negative effect on the final stages of follicular development and indirectly alters embryonic development by decreasing pH in the uterine fluid. The levels of certain amino acids in the lumen of the pregnant uterus are significantly higher than before pregnancy. Methionine, lysine and histidine have the greatest rise at the presence of the preimplantation embryo. Feeding rumen-protected forms of these amino acids can positively alter embryo production, but further investigation is needed in this field. The authors deem that more research is needed to lay effective feeding strategies for the success of embryo production.
Open Access: Yes
DOI: DOI not available
Approaching the fuzzy road transport Traveling Salesman Problem by eugenic bacterial memetic algorithm
Publication Name: Isciii 09 4th International Symposium on Computational Intelligence and Intelligent Informatics Proceedings
Publication Date: 2009-12-28
Volume: Unknown
Issue: Unknown
Page Range: 15-22
Description:
The aim of the Traveling Salesman Problem (TSP) is to find the cheapest way of visiting all elements in a given set of cities and returning to the starting point. In solutions presented in the literature costs of travel between nodes (cities) are based on Euclidean distances, the problem is symmetric and the costs are constant. In this paper a novel construction and formulation of the TSP is presented in which the requirements and features of practical application in road transportation and supply chains are taken into consideration. Computational results are presented as well. © 2009 IEEE.
Open Access: Yes
Extraction of daily life log measured by smart phone sensors using neural computing
Publication Name: Procedia Computer Science
Publication Date: 2013-01-01
Volume: 22
Issue: Unknown
Page Range: 883-892
Description:
This paper deals with the information extraction of daily life log measured by smart phone sensors. Two types of neural computing are applied for estimating the human activities based on the time series of the measured data. Acceleration, angular velocity, and movement distance are measured by the smart phone sensors and stored as the entries of the daily life log together with the activity information and timestamp. First, growing neural gas performs clustering on the data. Then, spiking neural network is applied to estimate the activity. Experiments are performed for verifying the effectiveness of the proposed method. © 2013 The Authors.
Open Access: Yes
Microplastic pollution in the Szigetköz section of the Danube: sources, composition and FTIR-based quantification
Publication Name: Environmental Systems Research
Publication Date: 2026-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
Microplastic (MP) pollution in river systems has become an increasing environmental concern, particularly in transboundary rivers such as the Danube. This study provides the first detailed assessment of microplastic contamination in the Szigetköz section of the Danube and its major tributary, the Mosoni-Danube. Depth-resolved pumped water samples were collected at three locations (Rajka, Mecsér and Gönyű) and analysed using Fourier Transform Infrared (FTIR) spectroscopy combined with automated spectral evaluation. MP concentrations showed a clear downstream increase, with average values of 83.8 particles/m³ at Rajka, 237.6 particles/m³ in the Mosoni-Danube at Mecsér, and 795.9 particles/m³ at Gönyű. Polyethylene (PE) was the dominant polymer in the tributary (70.6%), whereas both PE and alkyd resins were prevalent at the main Danube sites (Rajka: alkyd 37.7%, PE 31.8%; Gönyű: alkyd 39.9%, PE 37.3%). Particle size distribution also shifted downstream, with a higher proportion of smaller (50–100 μm) particles detected at Gönyű compared to upstream sites. The results suggest that the tributary may represent an important input to the main Danube channel in this section, while differences in polymer composition point to varying source characteristics within the study area. These findings provide an important baseline for future monitoring and support the development of targeted mitigation strategies in this transboundary river system.
Open Access: Yes
Modelling optimal investment planning for household photovoltaic and battery systems under dynamic electricity market conditions
Publication Name: Discover Sustainability
Publication Date: 2026-12-01
Volume: 7
Issue: 1
Page Range: Unknown
Description:
Capacity sizing and calculating cost savings for residential households in a rapidly evolving energy market, influenced by fluctuating electricity prices and changing government incentives, is a highly complex problem. The key challenges stem from multiple interacting factors, including retail electricity prices, the desired payback period, household size, applicable electricity schemes, and the capacity factor of the photovoltaic (PV) system. The nominal power output of the solar energy system is constrained by both the specifications and the number of installed inverters and PV panels. As solar generation is intermittent and non-dispatchable, it is inherently weather-dependent and often unable to align with the dynamic fluctuations in household electricity consumption. From a financial modelling perspective, the length of the accounting period directly determines the time resolution of the model, influencing both the accuracy of cash flow estimation and investment decision-making. The proposed two-level investment planning model is based on the process network synthesis approach. At the upper level of the process model, solar generation technologies, including inverters and solar panels, are technically and economically assessed. At the lower level, which represents the load consumption side, the periodical energy balances for production, storage, demand, and purchase are considered. In order to accurately evaluate the solar energy system, the model is developed with both a monthly framework and a detailed hourly framework. The time resolution allows the model to account for grid intake, electricity sold, and storage inventory conditions over the defined periods, ultimately providing the optimal sizing for a solar system equipped with battery storage. Case studies are conducted to investigate the effects of household size, extended payback periods, varying retail electricity prices, and grid reliability. These scenarios demonstrate the key parameters that significantly influence the economic feasibility and optimal sizing of the solar energy system, which are discussed in detail in this paper.
Open Access: Yes
Eating disorders and disordered eating on wrestling sport: a systematic review
Publication Name: BMC Nutrition
Publication Date: 2025-12-01
Volume: 11
Issue: 1
Page Range: Unknown
Description:
Although there are studies on the effects of eating disorders (EDs) among athletes, a limited number of studies have been conducted in wrestling. This systematic review aims to identify the prevalence of eating disorders (ED) and disordered eating (DE) in wrestling, which is important for developing healthier weight control behaviours within the sport. A systematic review was conducted following the PRISMA protocol, focusing on publications from the last 10 years. PubMed, Scopus, PsycINFO, SPORTDiscus and Web of Science were used to identify eligible studies with the searching terms “Eating disorders” AND “wrestlers” OR “Eating disorders” AND “wrestling” OR “Disordered eating” AND “wrestlers” OR “Disordered eating” AND “wrestling” OR “Anorexia Nervosa” AND “wrestlers” OR “Anorexia Nervosa” AND “wrestling” OR “Bulimia Nervosa” AND “wrestlers” OR “Bulimia Nervosa” AND “wrestling” within the timeframe from 2014 to 2024. Eight articles met the inclusion criteria. When all studies were considered as a homogeneous group, the analysis revealed: (a) wrestlers are significantly more susceptible to Eds than other branches, (b) wrestlers have unhealthy weight control behaviors to control weight for optimum performance and to enhance their muscular appearance due to body image issues. It is recommended that future research address eating disorders, which have predominantly been studied in male wrestlers, within female wrestlers as well. Additionally, it is advised to identify potential causes contributing to the elevated risk of eating disorders among wrestlers and to develop targeted prevention strategies.
Open Access: Yes
Contribution to the knowledge of the Neotropical Uropodina (Acari: Mesostigmata)
Publication Name: Zootaxa
Publication Date: 2023-10-26
Volume: 5360
Issue: 2
Page Range: 255-268
Description:
Two new species of Uropodina are described from Peru—Stammeroplitis panguanaensis sp. nov. and Rotundabaloghia (Circobaloghia) koepckeorum sp. nov.. the genus Stammeroplitis is diagnosed and a key to its Neotropical species is presented. twenty species of Oplitis are moved to Stammeroplitis. the new family clausiadinychidae fam. nov. is established for the genus Clausiadinychus and a key to the known species of Clausiadinychus species is provided. New information is presented for three known species of Uropodina (Clausiadinychus quadricaudatus hirschmann, 1973, Rotundabaloghia dillerae Błoszyk, 2019 and Trichouropoda solaris hirschmann, 1972).
Open Access: Yes
Spatial effects and heterogeneity analysis of the impact of environmental taxes on carbon emissions in China
Publication Name: Heliyon
Publication Date: 2023-11-01
Volume: 9
Issue: 11
Page Range: Unknown
Description:
Environmental taxes are important means by which governments can address environmental pollution problems. Amid increasingly severe global warming, how should environmental taxes be used to better combat pollution and reduce emissions to promote sustainable socioeconomic development? This empirical analysis explores the influence of environmental taxes on CO2 emissions by utilizing a spatial Durbin model constructed with panel data from 2006 to 2020 encompassing 30 provinces, autonomous regions, and municipalities under the direct jurisdiction of China's central government. First, we found that a strong spatial auto-correlation exists between carbon emission intensity and environmental taxes at the geographic and economic levels in each province. The characteristics of high–high and low–low agglomeration are consistent with the actual situation where each province has a strong regional correlation. Second, the estimation results of environmental taxes' spatial effect on carbon emissions show that under the neighboring space weight matrix, environmental taxes and fees can not only better promote regional carbon emission reduction but also reduce the carbon emissions of neighboring regions. Under the economic distance weight matrix, environmental taxes' impact on reducing carbon emission intensity in the province is not significant, but it can promote the reduction of carbon emissions in the economically neighboring provinces. Additionally, the results of the sub-tax estimation of environmental taxes and carbon emission intensity show that differences exist in the impacts of different environmental taxes on carbon emission intensity under different weight matrices. Among them, environmental protection, resource, vehicle and vessel, and urban land use taxes are basically unfavorable in reducing carbon emission intensity in a region and its neighboring regions, while urban maintenance and construction and cultivated land occupation taxes enhance carbon emission reduction. Our findings suggest that efficiently promoting carbon emissions reduction requires effectively utilizing the spatial effects of environmental taxes and carbon emissions, establishing and improving the regional carbon emissions reduction linkage mechanism, including carbon dioxide in the scope of taxation to further strengthen environmental taxes' positive impact on carbon emission reduction, and focusing on the heterogeneity of environmental tax implementation to achieve emission reduction goals.
Open Access: Yes
