Search Results (342)

Background/Objectives: The aging of workers with intellectual and developmental disabilities is an emerging reality attributed to the rise in life expectancy and improved labor market access. In this study, “workers” is used as an inclusive, neutral term covering all individuals engaged in paid labor—whether employees, self-employed, freelancers, or those performing manual or non-manual tasks. It encompasses every form of work. It is crucial to comprehend the reality of aging workers from the perspectives of the primary individuals involved: the workers, their families, and supporting professionals. Methods: A qualitative study was developed, involving 12 focus groups and 107 participants, using NVivo 12 Pro for analysis; we used a phenomenological methodology and grounded theory. Results: A set of concrete needs was highlighted: among them, 33 were related to declining work ability due to aging and disability (WADAD), and 30 to transition to retirement. These needs were grouped into categories: workplace accommodations, coordination and collaboration, personal and family support, counseling and training, and other types of needs. Conclusions: This study establishes an empirical basis tailored to the needs of this group, enabling the development of prevention and intervention protocols that address WADAD and the transition to retirement. Full article

This study presents a social life cycle assessment (S-LCA) of the F-CUBED Production System (FPS), an innovative process that converts wet biogenic residues—specifically paper biosludge, virgin olive pomace, and fruit and vegetable residues—into intermediate bioenergy carriers via hydrothermal treatment (TORWASH^®), pelletization, and anaerobic digestion. The hydrothermal carbonization of these low-grade, moisture-rich biogenic residues enhances the flexibility and reliability of renewable energy systems while also offering the potential to reduce environmental burdens compared to conventional disposal methods. Through this S-LCA, the study aims to evaluate the cradle-to-gate socioeconomic impacts of the FPS in three European contexts—Sweden, Italy, and Spain—using the 2020 UNEP Guidelines and the Social Hotspots Database (SHDB) and applying quantitative modeling via SimaPro. The functional unit is defined as 1 kWh of electricity produced. The assessment combines SHDB-based modeling with primary data from stakeholder surveys conducted in the three countries. Impact categories are harmonized between SHDB and UNEP typologies, and the results are reported in medium-risk-hour equivalents (mrheq). The results show a heterogeneous social impact profile across case studies. In Sweden, the treatment of paper biosludge delivers substantial benefits with minimal risk. In Spain (orange peel), the introduction of the FPS demonstrated a strong social benefit, particularly in health and safety and labor rights, indicating high institutional performance and good integration with local industry. Conversely, in Italy (olive pomace), the FPS revealed significant social risks, especially in the biopellet production and electricity generation sectors, reflecting regional vulnerabilities in labor conditions and governance. This suggests that targeted mitigation strategies are recommended in contexts like Southern Italy. These findings highlight that the social sustainability of emerging bioenergy technologies is context-dependent and sensitive to sectoral and regional socioeconomic conditions. This S-LCA complements prior environmental assessments and emphasizes the importance of integrating social performance considerations in the deployment and scaling of innovative bioenergy systems. Full article

In addition to the use of reference instruments, low-cost sensors (LCSs) are becoming increasingly popular for air quality monitoring both indoors and outdoors. These sensors provide real-time measurements of pollutants and facilitate better spatial and temporal coverage. However, these simpler devices are typically characterised by lower accuracy and precision and can be more sensitive to the environmental conditions than the reference instruments. It is therefore crucial to characterise the applicability and limitations of these instruments, for which a possible solution is their comparison with reference measurements in real-world conditions. To this end, a measurement campaign has been carried out to evaluate the PM_2.5 readings of several low- and medium-cost air quality instruments of different types and categories (IQAir AirVisual Pro, TSI DustTrak™ II Aerosol Monitor 8532, Xiaomi Mijia Air Detector, and Xiaomi Smartmi PM_2.5 Air Detector). A GRIMM EDM180 instrument was used as the reference. This campaign took place in Budapest, Hungary, from 12 November to 15 December 2020, during typically humid and foggy weather conditions, when the air pollution level was high due to the increased anthropogenic emissions, including wood burning for heating purposes. The results indicate that the individual sensors tracked the dynamics of PM_2.5 concentration changes well (in a linear fashion), but the readings deviated from the reference measurements to varying degrees. Even though the AirVisual sensors performed generally well (0.85 < R² < 0.93), the accuracy of the units showed inconsistency (13–93%) with typical overestimation, and their readings were significantly affected by elevated relative humidity levels and by temperature. Despite the overall overestimation of PM_2.5 by the Xiaomi sensors, they also exhibited strong correlation coefficients with the reference, with R² values of 0.88 and 0.94. TSI sensors exhibited slight underestimations with high explained variance (R² = 0.93–0.94) and good accuracy. The results indicated that despite the inherent bias, the low-cost sensors are capable of capturing the temporal variability of PM_2.5, thus providing relevant information. After simple and multiple linear regression-based correction, the low-cost sensors provided acceptable results. The results indicate that sensor data correction is a necessary prerequisite for the usability of the instruments. The ensemble method is a reasonable alternative for more accurate estimations of PM_2.5. Full article

Squalane (SQ, a saturated, sebum-mimetic hydrocarbon), oleic acid (OA, a monounsaturated fatty acid), and linoleic acid (LA, a polyunsaturated essential fatty acid) belong to the category of “lipids and fats” in cosmetic materials, and are widely employed as skin-conditioning emollients. However, they present differences in UV stress. In this study, we compared their effects on UV-induced oxidative damage, inflammation, and lipid metabolism using a mouse model and human sebaceous gland cells (SZ95). Results showed that 10% SQ did not worsen oxidative damage or inflammation after 6 weeks of UV exposure. In contrast, the 5% and 10% OA/LA groups showed increased skin wrinkling (p < 0.01), epidermal thickening (p < 0.05), and sebaceous gland atrophy. Transcriptome analysis indicated OA/LA upregulated arachidonic acid-related cytokine pathways (PTGS2/IL-1β; p < 0.001). In SZ95 cells, 0.006% OA/LA significantly increased lipid droplet formation (p < 0.001), free fatty acid (FFA) levels (p < 0.001), and pro-inflammatory gene expression (p < 0.001). Conversely, SQ neither promoted lipid droplet/FFA secretion nor induced oxidative stress. These findings suggest that high concentrations of unsaturated fatty acids in skincare may worsen lipid dysregulation and inflammation, while formulations based on saturated hydrocarbons like SQ could provide superior photoaging management by stabilizing skin barrier function. Full article

As offensive cyber operations have become more commonplace, cyber collateral damage (CCD) to society and to civilian infrastructure has expanded in impact and severity. Several research contexts, frameworks, and methods apply to these collateral effects, especially as they pertain to reducing them. To investigate and map this area of research, five leading scientific databases (Scopus, IEEE Xplore, Springer Link, ScienceDirect, and ProQuest) were searched for papers on CCD. From 716 search results, 74 relevant papers were selected. Using surface categories as well as thematic analysis, these were grouped into the main emergent categories of legal, ethical, targeting-oriented, and econometric papers, with each category showing a recent research trend. The papers were qualitatively assessed for importance and coverage and compared bibliographically to identify key papers and authors. Within the identified areas of research, significant gaps remain. While CCD is becoming increasingly well understood from a legal and operational perspective, this accounts only for a fraction of the civilian harm caused by offensive cyber operations. This study identifies potential pathways for the synthesis of the current research areas (targeting, taxonomy, econometrics) with broader definitions of collateral damage to include civilian harm. These include updating national cyber doctrines to require collateral damage estimates, as well as exploiting emerging open datasets to understand which cyber capabilities cause the greatest collateral effects. Finally, we observe that the research definitions and taxonomy of CCD differ widely and have been subjected to limited scrutiny and challenge to date. Full article

To identify seedling traits closely associated with drought resistance and to screen for drought-tolerant germplasm, 202 cotton varieties (lines) were evaluated under controlled indoor conditions using a nutrient soil cultivation method. Seedling-stage traits measured included plant height, cotyledon node diameter, true leaf number, chlorophyll content, and fresh and dry biomass of both shoots and roots. Drought resistance was assessed using drought resistance coefficients for each trait, followed by descriptive statistics, principal component analysis (PCA), partial correlation analysis, and comprehensive evaluation via the entropy weight method. PCA and partial correlation analysis revealed that plant height, cotyledon node diameter, aboveground fresh weight, and underground fresh weight were strongly associated with drought resistance at the seedling stage. The comprehensive drought resistance index (D-value) classified the 202 cotton lines into four categories: highly drought-resistant, moderately drought-resistant, drought-sensitive, and highly drought-sensitive. Physiological assays indicated that malondialdehyde (MDA) content in drought-resistant lines first increased and then declined with prolonged drought stress, while it continued to increase in sensitive lines. In contrast, proline (Pro) content and superoxide dismutase (SOD) activity increased steadily in drought-resistant lines but showed negligible changes in sensitive lines. These four morphological traits and three physiological indicators represent reliable criteria for evaluating drought resistance in cotton seedlings. Four highly drought-resistant and thirteen moderately drought-resistant lines were identified, providing valuable germplasm for genetic improvement of drought tolerance in cotton. Full article

The present work analyzed sustainability practices and environmental policies in the Maldives’ tourism sector, focusing on resorts classified using star ratings. Using a mixed-method approach, we examined sustainability reports from 133 resorts, analyzing textual and visual content to identify reporting patterns. For both the thematic and visual analyses, we used OpenAI’s GPT-4 custom models, available on the ChatGPT Pro platform. The results revealed significant differences in how sustainability was communicated and implemented across the resort categories: six-star resorts promoted sustainability as part of a luxury experience, emphasizing environmental branding and exclusivity; five-star resorts combined operational sustainability with attention to customer satisfaction and employee welfare; and lower-rated resorts prioritized resource efficiency, waste management, and community-based practices. These findings emphasize the need for comprehensive sustainability adoption across all resort categories to address the Maldives’ unique environmental challenges. This study contributes to understanding sustainable tourism in small island nations, highlighting the need for consistent, transparent sustainability reporting standards aligned with international frameworks. It also offers policy recommendations to improve the environmental stewardship of the Maldivian tourism industry, essential for its long-term ecological and economic sustainability. Full article

This study develops a landslide susceptibility zoning map for the Zipaquirá–Pacho road corridor in Cundinamarca, an area prone to frequent landslides. Two statistical methods—Weight of Evidence (WoE) and Information Value (IV)—were used alongside various causal factors to generate the map using GIS software (ArcGIS Pro 3.5.0 software.). A landslide inventory with 101 points was compiled through fieldwork and Google Earth image analysis. Of these, 70% were used to build the models, while the remaining 30% were reserved for validation, ensuring spatial representativeness. The resulting susceptibility maps classified the area into five categories: “very high”, “high”, “moderate”, “low”, and “very low.” For WoE, 19.62% of the area was classified as “very high” and 19.71% as “high”, while for IV, the respective values were 17.57% and 26.55%. Notably, 88% of the identified landslides occurred in “high” and “very high” zones. Model validation using the AUC (Area Under Curve) metric yielded an efficiency of 81%, confirming the reliability of both methods for landslide prediction. The study’s findings are essential for supporting mitigation strategies and serve as valuable input for local authorities and stakeholders involved in risk management and infrastructure planning. Full article

Myelodysplastic syndromes (MDS) belong to a category of malignant stem-cell and myeloid disorders that deteriorate the function of the hematopoietic system exacerbated by the omnipresent anemia that characterizes myelodysplasia. The pathogenesis of MDS is driven by cytogenetic abnormalities along with the excessive production of pro-inflammatory cytokines and disruptions in inflammatory signaling pathway, particularly through the influence of carbonylated proteins, which are linked to MDS progression. An additional and major contributor to the pathogenesis of MDS is oxidative stress marked by uncontrolled levels of reactive oxygen species (ROS), which have been suggested as potential biomarkers for assessing disease severity and stratifying MDS cases throughout a variety of methods. Excessive and non-accumulative levels of free iron can also lead to iron overload (IOL)—related promotion of a high oxidative state, whether we refer to treatment-related IOL or natural IOL mechanisms. Proteomic analysis has emerged as a powerful tool for profiling protein samples, and, consequently, understanding the molecular changes underlying MDS. In this review, we evaluated studies and their methodologies aiming in investigating distinctive proteomics signatures associated with MDS pathogenesis, focusing on the role of oxidative stress at the protein level. Full article

Malting is one of the most energy-intensive stages in beer brewing, yet its environmental impacts remain under-characterized despite recent efficiency gains. Barley and malt transport drive significant greenhouse gas emissions in import-dependent countries, while local, small-scale production can offset those savings through lower process efficiencies or higher resource use. This study conducted a cradle-to-gate Life Cycle Assessment (LCA) of three Italian malthouses—small, medium, and large—using SimaPro 10.2.0.0 and a functional unit of 1 kg of malted barley delivered by bulk truck to local breweries. Primary data on barley, water, methane, and electricity consumption, as well as waste generation, were collected via questionnaires; secondary data were sourced from Ecoinvent and Agri-Footprint. Impact categories were evaluated using the Cumulative Energy Demand (CED) and Product Environmental Footprint (PEF) methodologies. Barley cultivation dominates the footprint (84–92% of total impacts when using local grain). Drying and transport contribute 3.7–4.4% and 0–8.4% of impacts, respectively, depending on facility scale and import share. Smaller malthouses exhibit higher per-kilogram impacts due to lower energy efficiency and transportation modes. Mitigation strategies —including sustainable agriculture, renewable energy adoption, logistics optimization, and process improvements—can substantially reduce impacts. Notably, sourcing barley from low-impact suppliers alone lowers the carbon footprint from 0.80 to 0.66 kg CO_2e/kg, freshwater eutrophication from 227 to 32 CTU_e/kg, land use from 196 to 136 Pt/kg, and overall PEF from 192 to 81 µPt/kg. These results underscore the critical role of feedstock sourcing and process efficiency in decarbonizing malt production and provide a quantitative baseline for targeted sustainability interventions. Full article

Background/Objectives: An increasing number of studies are exploring how stress influences the development of various psychiatric and physical disorders. Psychological coping strategies and defense mechanisms play a vital role in managing stress. However, the biological mechanisms involved in coping with stress have not been thoroughly researched. This study focuses on the relationships between plasma levels of tPA-BDNF pathway proteins and their correlations with coping strategies and defense mechanisms. Methods: The study involved 48 healthy young adults. All participants completed the self-reported Defense Style Questionnaire (DSQ-40) and Coping Orientation to Problems Experienced Inventory (COPE). BDNF, proBDNF, t-plasminogen activator/tPA, total serpin E1/PAI-1, serpin F2/alpha 2-antiplasmin, and MMP-9 plasma concentrations were determined using ELISA. Results: We detected higher BDNF and lower MMP-9 levels in females. We found differences in the DSQ-40 humor subdimension and in the COPE focus on and venting of emotions category between women and men. We found correlations between studied protein plasma concentrations. Positive correlations of total serpin E1/PAI-1 with denial and mental disengagement and negative correlations with some active coping categories were found. Correlations of DSQ-40 scores with BDNF, proBDNF, MMP-9, and total serpin E1/PAI-1 were detected. Conclusions: Our findings indicate that there are functional associations between the proteins we studied and various coping styles, as well as mature, immature, and neurotic defense mechanisms. Full article

The study of the hydrological regimes of rivers in different regions of the globe has revealed the need to include the soil moisture content in flood prediction models. This paper investigates the nature of the dependence of soil moisture content on soil texture in the East Kazakhstan region. Data from ERA-5-land reanalysis, soil maps, hydrogeological maps, and the meteorological data of Kazhydromet were used. The years for analysis were selected due to their different moisture conditions. This study analyzed soil moisture within the root zone (0–28 cm depth). A JavaScript-based algorithm was developed in Google Earth Engine to analyze soil moisture and total precipitation across five Soil Texture Index categories during the growing seasons (April–September) of 2013, 2022, and 2023. Final cartographic processing and spatial distribution analysis were conducted using ESRI ArcGIS Pro 3.3. The study of soil moisture’s relationship with different soil textures in the East Kazakhstan region has revealed several key trends. The maximum values of soil moisture for each texture class change very slightly from year to year. The minimum soil moisture values fluctuate more strongly from year to year. The regression analysis demonstrates a statistically significant relationship between precipitation and soil moisture. The best performance is achieved when using a 1-day lag for 2013 and varying optimal lags for 2022 and 2023 (ranging from 1 to 3 days) during the high-precipitation period (months 6–9), with filtering applied to remove days with negligible rainfall. Full article

Background: The 2023 ESC Heart Failure (HF) Guidelines recommend the rapid up-titration of guideline-directed medical therapy (GDMT) for all patients after HF hospitalisation. Real-world data on the implementation of a rapid up-titration programme (RTP) are scarce. Methods: We aimed to summarise the primary experiences of a six-week RTP in a multicentre observational study of five cardiology centres, evaluating the GDMT applied and the target doses (TDs) achieved during the RTP. The safety of RTP in relation to exceeding the “safety indicators” used in the STRONG-HF trial and any serious adverse events were observed. Changes in the left ventricular ejection fraction (LVEF) after RTP were evaluated. Results: Among the 90 consecutive patients (age: 56 [49–63] years, HFrEF: 96%, NT-proBNP at discharge: 1390 [735–2835] pg/mL; continuous variables are presented as median and interquartile ranges, while categorical variables are shown as absolute numbers and percentages, respectively), a remarkable proportion of patients received GDMT at hospital discharge; however, target doses were rarely achieved (RASi: 100%, TD RASi: 11%; βB: 97%, TD βB: 6%; MRA: 99%, TD MRA: 82%; SGLT2i: 98%, TD SGLT2i: 98%; triple therapy [TT: RASi + βB + MRA]: 96%, TD TT: 2%, quadruple therapy [QT: RASi + βB + MRA]: 94%, TD QT: 2%). After the six-week RTP, 100% of the total cohort (TC) were receiving RASi; 99–99–99% were receiving βB, MRA, and SGLT2i medications; and altogether, 98–98% were on TT and QT. In total, 78–78% of the patients received ≥50% of the TDs of TT and QT, while 51–51% of the TC were on TDs of TT and QT. During the RTP, no serious adverse events were observed. Between two and four months after the RTP, 51% of HFrEF patients evolved to the HFimpEF category. Conclusions: The present multicentre, observational study confirms that RTP is feasible and safe in real-world clinical practice, leading to a remarkably large proportion of patients receiving GDMT by the end of the six-week RTP, resulting in a significant increase in LVEF. Full article

This study conducts a comparative life cycle assessment (LCA) and life cycle cost (LCC) analysis of battery electric vehicles (BEVs) and gasoline vehicles (GVs) in Heilongjiang Province, China, under cold climate conditions and a coal dominated electricity grid. Environmental impacts were assessed using SimaPro with the ReCiPe 2016 Midpoint (H) method, while cost performance was evaluated over 5-, 10-, and 15-year ownership periods. Results show that BEVs offer lower total ownership costs than GVs, even without subsidies, primarily due to reduced energy and maintenance expenses. In terms of global warming potential, BEVs show a 4.52% reduction compared to GVs. However, BEVs demonstrate higher impacts in several non-climate categories—including ionizing radiation, particulate matter formation, eutrophication, toxicity, and water use—largely due to emissions from coal-based electricity. The derived grid emission factor of 1.498 kg CO₂/kWh underscores the critical role of regional energy structure. These findings suggest that while BEVs provide economic and climate benefits, their overall environmental performance is highly dependent on local grid carbon intensity and seasonal energy demand. Policy recommendations include accelerating grid decarbonization, improving cold weather efficiency, and incorporating multidimensional environmental indicators into transport planning. Full article

Unconventional T (UC T) cells, including invariant natural killer T (iNKT) cells, mucosal-associated invariant T (MAIT) cells, γδ T cells, and double-negative (DN) T cells, are key players in immune surveillance and response due to their properties combining innate-like and adaptive-like features. These cells are widely present in mucosal tissues, where they can rapidly respond to infections and tumor-associated changes. In fact, UC T cells can have both pro- and anti-tumoral effects, with their activity influenced by factors such as microbial composition and the tumor microenvironment. In particular, intratumoral microbiota significantly impacts the development, function, and activation of UC T cells, influencing cytokine production and shaping the immune response in various cancers. The complex crosstalk between UC T cells and the surrounding factors is discussed in this review, with a focus on how these cells might be interesting candidates to explore and exploit as anticancer therapeutic agents. However, the great potential of UC T cells, not only demonstrated in the context of adoptive cell transfer, but also enhanced through techniques of engineering, is still flanked by different challenges, like the immunosuppressive tumor microenvironment and heterogeneity of target molecules associated with some specific categories of tumors, like gastrointestinal cancers. Full article