Search Results (136)

Background/Objectives: Fatty acids, the building blocks of lipids, contribute to numerous crucial life processes and are implicated in numerous disease pathologies. Circulating fatty acids can be extracted/trans-esterified to their respective methyl ester forms and quantified from a variety of biological samples. This study aims to identify quantifiable fatty acids (through alkali trans-esterification) in human circulation, assess the correlation of the detectable fatty acid methyl esters (FAMEs) compounds between whole blood, serum and plasma matrices and propose the most ideal matrix for quantification of FAMEs. Methods: This anonymised study was carried out in a tertiary hospital after obtaining ethical approval and involved analysis of residual fasting whole blood, serum and plasma samples obtained from 20 apparently healthy subjects attending the routine health check services at the study centre. Fatty acids were converted to its methyl ester form by methanolic KOH trans-esterification and subjected to GCMS analysis. Paired t test, Pearsons’s correlation, linear regression and Bland Altman test were employed to assess the agreeability between matrices. Results: 9 out of 37 FAME compounds were detected in all three matrices. Strong correlations and statistically significant regression equations were obtained for the 9 compounds between plasma and serum matrices. Undecanoate, pentadecanoate, linolenate, and palmitate levels were lowest in plasma, while stearate, heptadecanoate levels were highest in whole blood. Myristate was highest in serum, dodecanoate was highest in plasma while docosahexanoate was found to be comparable in all three matrices. Methyl ester forms of dodeconate, myristate, pentadecanoate, palmitate, heptadecanoate, stearate, and linolenate were observed in higher concentrations in plasma when compared to serum. Conclusions: The current study shows similar & correlating FAME concentrations between serum and plasma matrix; however, whole blood FAME concentrations appear significantly different. Plasma serves as the most ideal matrix for detection and quantification of circulating fatty acids. Full article

Wealth and power have been recognized as being unequally concentrated within specific families. While research on social mobility has been limited to defined outcomes (e.g., occupation, income, and education) in specific contexts, the rise of big data has spurred broader network analysis. Using a comprehensive genealogical database of 30 million individuals in the Western Hemisphere, we analyzed how familial background, gender, and occupational domains influence the probability of individuals attaining “fame” in their lifetime. Individuals with famous parents are more likely to become famous themselves, especially males. Unexpectedly, we identified more than 10,000 famous individuals who are closely related, comprising 25.6% of all famous individuals in the entire dataset. While the underlying sample may have representativeness issues, the findings suggest that famous individuals are not isolated figures but often part of broader interconnected family networks. Full article

The transesterification process for biodiesel production is constrained by high thermal input, prolonged residence time, and intensive mechanical agitation. This study investigates process intensification via hydrodynamic cavitation using a custom-built Shockwave Power Reactor (SPR), enabling continuous biodiesel synthesis from soybean and used cooking oils. A statistically designed experimental matrix was applied to evaluate the reactor’s transient–stable thermal regime and the influence of operational parameters: rotor speed (1700–3415 rpm), volumetric flow rate (60–105 mL/min), methanol-to-oil molar ratio (6:1 to 12:1), and alkali catalyst type (NaOH or KOH). For benchmarking, conventional alkaline transesterification was optimized. The FAME yields from the SPR system exceeded 96.5% and complied with EN14103 standards. Specific energy analysis showed that cavitation-enhanced transesterification reduced energy consumption and peak temperature compared to traditional methods. The SPR’s capacity to induce high shear and localized turbulence under controlled cavitation offers a promising pathway for low-energy, scalable biodiesel production. Full article

As global energy demand continues to rise, microalgae have gained attention as a promising feedstock for biofuel production due to their environmental adaptability and renewable nature. This study investigated the growth performance and stress tolerance of Desmodesmus sp. KNUA231 under varying pH and salinity conditions to evaluate its potential as a biofuel candidate. The strain was cultivated under controlled laboratory conditions and exhibited stable growth across a broad pH range (4–10) and moderate salinity levels (up to 5 g L⁻¹ NaCl), indicating its resilience to diverse environmental conditions. Fatty acid methyl ester (FAME) analysis revealed that the biodiesel properties of Desmodesmus sp. KNUA231 comply with ASTM and EN standards in specific parameters, reinforcing its feasibility as a renewable biofuel feedstock. Additionally, its high calorific value (CV) suggests its potential as an energy-dense biomass source. The results of inductively coupled plasma mass spectrometry (ICP) analysis show that the soil is supplied with essential nutrients while minimizing heavy metal contamination, suggesting the possibility of biofertilizers. Although Desmodesmus sp. KNUA231 demonstrated promising characteristics for biofuel applications, further research is required to optimize large-scale cultivation and improve productivity for industrial applications. These findings highlight the potential of Desmodesmus sp. KNUA231 as a biofuel resource, particularly in non-optimal environmental conditions where pH and salinity fluctuations are common, contributing to the ongoing search for sustainable bioenergy solutions. Full article

The transition toward sustainable conservation practices requires a scientifically ground approach to substituting traditional solvent systems with green alternatives. This study aims to facilitate the adoption of green solvents by restoration professionals by systematically evaluating their chemical compatibility and toxicological safety. By integrating Hansen solubility parameters (HSP), Relative Energy Difference (RED), and the Integrated Toxicity Index (ITI), we identified green solvents with high potential for replacing Cremonesi mixtures. The analysis revealed that ether-based solvents, such as 2,5-dimethyltetrahydrofuran and cyclopentyl methyl ether, exhibit high chemical affinity with Cremonesi mixtures, while esters and fatty acid methyl esters (FAMEs) offer a balanced combination of solubility and low toxicity. However, the study also underscores significant gaps in safety data (SDS) for many innovative solvents, highlighting the need for further toxicological evaluation before widespread implementation. Full article

Timber-adorned and rich in heritage, the traditional villages of central Hunan are famed for their wooden architecture, which is both a cornerstone of their cultural identity and a key driver of local tourism. The aim of this study is to evaluate the tourism development level and current status of these villages, providing insights for the enhancement and sustainability of tourism in similar ethnic settlements. This paper scrutinizes 18 villages in central Hunan, considering their resources, development context, and market conditions. A factor analysis-based evaluation system with 30 indicators was developed to assess tourism development potential. The findings indicate that the villages’ potential can be divided into high, medium, and low tiers. Tourism conditions are identified as the main stimulant for regional tourism growth. High-potential villages are scattered, with Da’an Village standing out due to its excellent transportation links; others are clustered in burgeoning tourism areas, notably around the Ziqujie terrace tourism district and Anhua County. Medium-potential villages are largely found in the Daxiong Mountain region, while low-potential villages lack a discernible distribution pattern. In light of these insights, this paper proposes development strategies tailored to the potential of each village, aimed at boosting tourism in central Hunan’s traditional villages and securing their long-term sustainable development. Full article

The rising demand for edible oils underscores the potential of non-edible oils for biodiesel production. However, biodiesel’s low oxidative stability (OS) and poor cold flow properties due to high unsaturation levels limit its use. This study aims to improve OS through the partial hydrogenation of polyunsaturated FAMEs using a Ru-TPPTS biphasic catalytic system. GC-MS analysis showed that the pre-hydrogenated biodiesel contained over 85% of unsaturated FAMEs, mainly linoleic (C18:2) and oleic acid (C18:1). Hydrogenation reduced C18:2 FAME content by over 70% while increasing stearic acid level (C18:0 FAME), significantly enhancing OS by more than 135%. Further optimization is needed to meet the required quality and performance standards. Full article

In the present work, the epoxidation of fatty acid methyl esters (biodiesel or FAMEs) with an iodine number of 96.4 g/100 g and containing approximately 11% palmitic acid, 4% stearic acid, 51% oleic acid, 25% linoleic acid, and 5% linolenic acid was studied with an aqueous H₂O₂ solution and different quaternary phosphonium salts (QPSs) combined with the phosphotungstic heteropolyacid (HPA) H₃PW₁₂O₄₀ in a biphasic system. The effect of the molar ratio of H₂O₂:C=C on the epoxidation of FAMEs was investigated. The effect of the molar ratio of H₂O₂:C=C on the epoxy number (EN) and iodine number (IN) was measured. Multiple regression analysis methods were used to determine the regression model describing the influence of the various independent variables. In the results obtained, it was found that the highest yields were obtained for [P6][Phosf]. The optimum conditions for the epoxidation process with the systems used were a time range of 30 ± 4 min and a H₂O₂/double bond molar ratio in the range of 1.8 ± 0.2. The formation of epoxidised fatty acid methyl esters (E-FAMEs) was confirmed by FT-IR, ¹H NMR and ¹³C NMR analyses. In the FT-IR spectrum of the E-FAMEs, epoxy ring vibration signals were identified at 826 cm⁻¹. In the ¹H NMR spectrum, signals appeared in the range of 3.25–3.00 ppm, corresponding to epoxy ring formation in biodiesel, and in the range of 60–55 ppm in the ¹³C NMR spectrum. Full article

Background: Fatty acids (FAs) represent a ubiquitous class of nonpolar alkyl carboxylate metabolites with diverse biological functions. Nutrition, metabolism, and endogenous and exogenous stress influence the overall FA metabolic status and transport via the bloodstream. FAs esterified in lipids are of particular interest, as they represent promising biomarkers of pathological diseases and nutritional status. Methods: Here, we report a validated gas chromatographic-mass spectrometric (GC-MS) method for the quantitative analysis of 32 FAs exclusively bound in esterified lipids. The developed sample preparation protocol comprises three steps using only 5 µL of human serum for Folch extraction, sodium methoxide-catalyzed transesterification in tert-butyl methyl ether, and re-extraction in isooctane prior to a quantitative GC-MS analysis with positive ion chemical ionization (PICI) and selected ion monitoring (SIM). Results: The base-catalyzed transmethylation step was studied for 14 lipid classes and was found to be efficient under mild conditions for all major esterified lipids but not for free FAs, lipid amides, or sphingolipids. To minimize matrix effects and instrument bias, internal fatty acid trideuteromethyl esters (D3-FAME) standards were prepared through isotope-coded derivatization with D3-labeled methylchloroformate/methanol medium mixed with each transmethylated serum extract for the assay. The method was validated according to FDA guidelines and evaluated by analyzing NIST SRM 2378 Serum 1 and sera from three healthy donors. Conclusions: The measured quantitative FA values are consistent with the reference data of SRM 2378, and they demonstrate the application potential of the described method for general FA analysis in esterified lipids as a novel complementary tool for lipidomics, as well as for the analysis of membrane FAs in dry blood spots and red blood cells. Full article

This study conducts a Critical Discourse Analysis of the masculinities of male characters in Doraemon, a famous Japanese manga series. It explores the masculinities in Doraemon from three perspectives by utilising the following Critical Discourse Analysis framework: text, process and society. Five male characters in Doraemon were selected as the main research objects. Firstly, the text analysis of the male characters in terms of their appearances, characteristics, behaviours and values reveals major masculine traits such as the maintenance of patriarchy, the pursuit and yearning for fame and fortune, competition and aggression. Analysing these masculinities can help remind audiences and consumers to be cautious about works that seemingly do not convey gender stereotypes to viewers. The process analysis identifies corresponding masculinities of the creator of Doraemon through his life experiences. Innovative spirit led him to create characters and manga that could both reflect and confront social reality and promote new gender concepts and ideas that were different from the mainstream at the time. The social analysis of Doraemon attributes the masculinities in the manga to Japanese culture, which has been deeply influenced by the culture of the salaryman, Confucianism, androcentrism and Bushido. For audiences in Japan, anime is a way of spreading and consolidating traditional Japanese cultural ideas, at the same time provoking reflection on whether these inherent gender roles are reasonable and should be perpetuated in the contemporary era. For audiences outside of Japan, this manga and cartoon is equivalent to a typical case of the export and recreation of Japanese culture to the world. This study conveys gender equality values, especially in children’s TV programmes. Full article

The rising global energy demand, alongside concerns regarding environmental deterioration due to the use of fossil fuels, has spurred extensive investigation into renewable energy alternatives. Biomass-derived biodiesel, especially from lesser-known oil sources, emerges as a promising option. This research focuses on analyzing the fatty acid methyl esters (FAMEs) derived from Kariya (Hildegardia barteri (Mast.) Kosterm) seed oil through basic catalytic transesterification using gas chromatography–flame ionization detector (GC–FID) analysis, assessing its potential as a biodiesel feedstock. Oil extraction from Kariya seeds was carried out using three solvents (n-hexane, ethanol, and a 1:1 blend of hexane and ethanol), followed by transesterification with methanol. Gas chromatography–mass spectrometry (GC–MS) and GC–FID analyses were utilized to identify and quantify FAMEs in the resulting biodiesel. The results revealed various FAMEs, including methyl myristate, methyl palmitate, methyl stearate, methyl oleate, methyl linoleate, and methyl linolenate. Significant differences in FAME composition were observed among the samples, with hexane–ethanol Kariya oil biodiesel (HE-KOB) showing the highest FAME content (76.1%). This combination of solvents exhibited synergistic effects on the composition of HE-KOB, suggesting potential optimization strategies for biodiesel production. Fourier transform infrared spectroscopy (FTIR) provided additional insights into the molecular composition of the biodiesel samples, confirming their biodiesel nature through the identified functional groups such as methyl, methylene, hydrocarbon, ester, aldehyde, and alkene. Thermogravimetric analysis (TGA) for thermal decomposition also gave an insight into FAME composition and its contribution to the degree of conversion of biodiesel to energy. These findings highlight the feasibility of utilizing Kariya seed oil as a biodiesel feedstock, emphasizing the importance of solvent selection and transesterification conditions in optimizing FAME yield and composition. This research contributes to the exploration of underutilized oil sources for sustainable biodiesel production, aligning with the global shift towards cleaner and renewable energy sources. Full article

Los Angeles coastal waters are an ecologically important marine habitat and a famed recreational area for tourists. Constant surveillance is essential to ensure compliance with established health standards and to address the persistent water quality challenges in the region. Remotely sensed datasets are increasingly being applied toward improved detection of water quality by augmenting monitoring programs with spatially intensive and accessible data. This study evaluates the potential of satellite remote sensing to augment traditional monitoring by analyzing the relationship between in situ and satellite-derived turbidity data. Field measurements were performed from July 2021 to March 2024 to build synchronous matchup datasets consisting of satellite and field data. Correlation analysis indicated a positive relationship between satellite-derived and field-measured turbidity (R² = 0.451). Machine learning models were assessed for predictive accuracy, with the random forest model achieving the highest performance (R² = 0.632), indicating its robustness in modeling complex turbidity patterns. Seasonal trends revealed higher turbidity during wet months, likely due to stormwater runoff from the Ballona Creek watershed. Despite limitations from cloud cover and spatial resolution, the findings suggest that integrating satellite data with machine learning can enhance large-scale, efficient turbidity monitoring in coastal waters. Full article

Food sustainability has become a major global concern in recent years. Multiple complimentary strategies to deal with this issue have been developed; one of these approaches is regenerative farming. The identification and analysis of crop type phenology are required to achieve sustainable regenerative faming. Earth Observation (EO) data have been widely applied to crop type identification using supervised Machine Learning (ML) and Deep Learning (DL) classifications, but these methods commonly rely on large amounts of ground truth data, which usually prevent historical analysis and may be impractical in very remote, very extensive or politically unstable regions. Thus, the development of a robust but intelligent unsupervised classification model is attractive for the long-term and sustainable prediction of agricultural yields. Here, we propose FastDTW-HC, a combination of Fast Dynamic Time Warping (DTW) and Hierarchical Clustering (HC), as a significantly improved method that requires no ground truth input for the classification of winter food crop varieties of barley, wheat and rapeseed, in Norfolk, UK. A series of variables is first derived from the EO products, and these include spectral indices from Sentinel-2 multispectral data and backscattered amplitude values at dual polarisations from Sentinel-1 Synthetic Aperture Radar (SAR) data. Then, the phenological patterns of winter barley, winter wheat and winter rapeseed are analysed using the FastDTW-HC applied to the time-series created for each variable, between Nov 2019 and June 2020. Future research will extend this winter food crop mapping analysis using FastDTW-HC modelling to a regional scale. Full article

Mangrove Swamp Rice is a unique labour-, time-, and knowledge-intensive farming system across West Africa requiring a complex water management through dikes, canals, and pipes. Cooperation is crucial in the socio-spatial and temporal organisation of water management, helping mitigate risks like saltwater intrusion, prolonged submersion, and drying of paddies, particularly intensified by climate change. We adopted a mixed-methods approach integrating grounded theory with case study design and multi-level analysis and employed several tools, such as social network analysis, a land tenure register, a digital elevation model, and a machine learning model. This research strategy allowed us to gain an in-depth understanding of the complex socio-ecological system in water management. Our study examined the benefits of cooperation for water infrastructure management, highlighting its critical role in routine monitoring and repair, specialised technical advice, and annual belt dike maintenance. Within the large array of factors influencing cooperation, key drivers, such as spatial proximity and farmers’ technical knowledge, labour ethics, and fame, emerged and are discussed. Our findings provide important insights into the social organisation of “traditional” societies and offer valuable guidance for development practitioners, emphasising the importance of involving reputed farmers for sustainable socio-technical adaptation. Full article

In this cross-sectional study, the interactions between demographic characteristics and the body, mind, and social dimensions among participants of a holistic training program for social and personal development were examined and compared to a control group. The sample involved 223 adults from Austria, Germany, and Switzerland, with 80 (37.2%) participants in the training group already having finished the training. To explore the variable relationships and compare group structures, advanced network analyses and a network comparison test were applied. The network analysis identified the training as a central variable, being linked to aspirations for societal impact and personal growth (0.31), aspirations for the pursuit of fame and wealth (0.29), transcendence (0.19), the desire to improve the quality of relationships (0.19), aspirations for personal wellbeing and relationships (0.15), and the presence of social resources (0.13). The group comparison revealed that the control group primarily connected through the “Sense of Coherence—Meaning in Life” axis, whereas the training group showed more complex linkages involving wellbeing, life satisfaction, meaning in life, and transcendence, underlining the training program’s positive effect on personal growth, societal impact aspirations, and transcendence. Overall, the network comparison test revealed significant differences in network structure and overall connectivity between the training and the control group. Full article