Search Results (167)

The digital revolution, characterized by rapid technological advancements, presents a unique opportunity to accelerate progress towards the United Nations’ Sustainable Development Goals (SDGs). This research explores the transformative potential of cutting-edge digital technologies—including artificial intelligence, big data analytics, cloud computing, and the Internet of Things—in fostering sustainable development across economic, social, and environmental dimensions. Our study employs a rigorous empirical approach to quantify the impact of digital innovation on SDG achievement within the European Union. Utilizing the Digital Economy and Society Index (DESI) as a comprehensive measure of technological progress, we apply structural equation modeling to emphasize the complex interplay between digital advancement and sustainable development indicators. A key focus of our analysis is the mediating role of economic performance, measured by GDP per capita, in the relationship between digital technology adoption and SDG progress. This nuanced examination provides insights into how economic factors influence the effectiveness of digital solutions in addressing global challenges. Our findings underscore the need for adaptive policies that harness the power of digital technologies while addressing potential challenges and ensuring inclusive growth. Full article

This study presents the selection of 20 Extended Pseudo Invariant Calibration Sites (EPICS) for radiometric calibration and the derivation of their hyperspectral profiles using the DLR Earth Sensing Imaging Spectrometer (DESIS) and Hyperion data. The hyperspectral profile of one of these clusters, the GONA-EPICS cluster, was validated against ground truth measurements from the RadCalNet Gobabeb Namibia (GONA) site, demonstrating statistical agreement within their respective uncertainties through Welch’s test. The applicability of these hyperspectral profiles was further evaluated by generating Spectral Band Adjustment Factor (SBAF) between Landsat 8 and Sentinel-2A using the GONA-EPICS hyperspectral profile and comparing them to SBAF values derived from RadCalNet GONA site measurements. SBAF results were statistically the same, while SBAF derived from the combined DESIS and Hyperion data exhibited reduced uncertainty compared to those derived using Hyperion data alone, which is attributed to DESIS’s finer spectral resolution (2.5 nm vs. 10 nm). To assess EPICS applicability in cross-calibration, Cluster 13-GTS, which includes pixels from the Libya 4 CNES ROI, was used as a target. Cross-calibration gains obtained using EPICS and the T2T cross-calibration methodology were compared to those from the traditional cross-calibration approach using Libya 4 CNES ROI. Results demonstrated statistically similar gains, with EPICS achieving an uncertainty better than 6% across all bands compared to 4.4% for the traditional method, while enabling global coverage for daily cross-calibration opportunities. This study introduces globally distributed EPICS with validated hyperspectral profiles, offering enhanced spectral resolution and reliability for radiometric calibration and stability monitoring. The methodology supports efficient global scale sensor calibration and prepares for future hyperspectral missions. Full article

To elucidate the robustness of the baryon acoustic oscillation (BAO) data measured by the dark energy spectroscopic instrument (DESI) in capturing the dynamical behavior of dark energy, we assess the model dependence of the evidence for dynamical dark energy inferred from the DESI BAO data. While the DESI BAO data slightly tightens the constraints on model parameters and increases the tension between the Chevallier–Polarski–Linder (CPL) model and the $\Lambda$CDM model, we find that the influence of DESI BAO data on the constraint of $w_0$ is small in the SSLCPL model. In comparison to the CPL model, the tension with the $\Lambda$CDM model is reduced for the SSLCPL model, suggesting that the evidence for dynamical dark energy from DESI BAO data is dependent on cosmological models. The inclusion of spatial curvature has little impact on the results in the SSLCPL model. Full article

The concept of a rapidly sign-switching cosmological constant, interpreted as a mirror AdS-dS transition in the late universe and known as the ${\mathsf{\Lambda }}_{\mathrm{s}}$CDM, has significantly improved the fit to observational data, offering a promising framework for alleviating major cosmological tensions such as the $H_0$ and $S_8$ tensions. However, when considered within general relativity, this scenario does not predict any effects on the evolution of the matter density contrast beyond modifications to the background functions. In this work, we propose a new gravitational model in which the background dynamics predicted by the ${\mathsf{\Lambda }}_{\mathrm{s}}$CDM framework are mapped into $f\left(T\right)$ gravity, dubbed $f\left(T\right)\text{-}{\mathsf{\Lambda }}_{\mathrm{s}}$CDM, rendering the models indistinguishable at the background level. However, in this new scenario, the sign-switching cosmological constant dynamics modify the evolution of linear matter perturbations through an effective gravitational constant, $G_{\mathrm{eff}}$. We investigate the evolution of the growth rate and derive new observational constraints for this scenario using RSD measurements. We also present new constraints in the standard ${\mathsf{\Lambda }}_{\mathrm{s}}$CDM case, incorporating the latest Type Ia supernovae data samples available in the literature, along with BAO data from DESI. Our findings indicate that the new corrections expected at the linear perturbative level, as revealed through RSD samples, can provide significant evidence in favor of this new scenario. Additionally, this model may be an excellent candidate for resolving the current $S_8$ tension. Full article

A groundbreaking remote sensing approach that uses three Bastnäsite Indices (BI) to detect rare earth elements (REEs) was initially developed using ore samples from the Sulfide Queen mine in California and later applied to various well-studied ground-based, drone-based, airborne, and spaceborne imaging spectrometers across a wide range of scales, from micrometers to tens of meters. In this work, those same innovative techniques have revealed the existence of a potential site for extracting REEs. Data from AVIRIS-NG, AVIRIS-Classic, HISUI, DESIS, EnMAP, EO-1 Hyperion, PRISMA, and EMIT were utilized to map Ivanpah Dry Lake, which is located fourteen kilometers northeast of the Sulfide Queen mine. Although this area was not previously associated with REE deposits, BI maps have indicated the presence of a site that has remained enriched in REEs for decades, suggesting an opportunity for further exploration and mining. Historically, a pipeline transported wastewater from facilities at the Sulfide Queen mine to evaporation ponds on or near Ivanpah Dry Lake, where wastewater may have contained concentrated REEs. This research highlights imaging spectroscopy not only as a valuable tool for rapidly identifying and efficiently extracting REEs, but also as a means of recovering REEs from supposed waste. Full article

Background: Central nervous system (CNS) tumors are the second most frequent type of neoplasm in childhood and adolescence, after leukemia. Despite the incorporation of molecular classification and improvement of protocols combining chemotherapy, surgery, and radiotherapy, CNS tumors are still the most lethal neoplasm in this age group. Mass spectrometry imaging (MSI) is a powerful tool to map the distribution of molecular species in tissue sections. Among MSI techniques, desorption electrospray ionization (DESI-MSI) has been demonstrated to enable reliable agreement with the pathological evaluation of different adult cancer types, along with an acceptable time scale for intraoperative use. Methods: In the present work, we aimed to investigate the chemical profile obtained by DESI-MSI as an intraoperative surgical management tool by profiling 162 pediatric brain biopsies and reporting the results according to the histopathology and molecular profile of the tumors. Results: The 2D chemical images obtained by DESI-MSI allowed us to distinguish tumor-transformed tissue from non-tumor tissue with an accuracy of 96.8% in the training set and 94.3% in the validation set after statistical modeling of our data using Lasso. In addition, high-grade and low-grade tumors also displayed a distinct chemical profile when analyzed by DESI-MSI. We also provided evidence that the chemical profile of brain tumors obtained by DESI-MSI correlates with methylation-based molecular classes and specific immunophenotypes found in brain biopsies. Conclusions: The results presented herein support the incorporation of DESI-MSI analysis as an intraoperative assistive tool in prospective clinical trials for pediatric brain tumors management in the near future. Full article

Neuroinflammation is a complex biological process related to a variety of pathologies, often requiring better understanding in order to develop new, targeted therapeutic interventions. Within this context, multimodal Mass Spectrometry Imaging (MSI) has been used to characterise molecular changes in neuroinflammation for biomarker discovery not possible to other techniques. In this study, molecules including bioactive lipids were detected across inflamed regions of the brain in rats treated with lipopolysaccharide (LPS). The detected lipids may be acting as inflammatory mediators of the immune response. We identified that N-acyl-phosphatidylethanolamine (NAPE) species accumulated in the inflamed area. The presence of these lipids could be related to the endocannabinoid (eCB) signalling system, mediating an anti-inflammatory response from microglial cells at the site of injury to balance pro-inflammation and support neuronal protection. In addition, polyunsaturated fatty acids (PUFAs), specifically n-3 and n-6 species, were observed to accumulate in the area where LPS was injected. PUFAs are directly linked to anti-inflammatory mediators resolving inflammation. Finally, acylcarnitine species accumulated around the inflammation region. Accumulation of these molecules could be due to a deficient β-oxidation cycle. Full article

This article explores how design, as a disciplinary field, can play a role in conceiving and supporting transition strategies within complex food systems where multiple actors are involved and sustainability is a priority. The work builds on the methodology of Design-Orienting Scenarios (DOS), which are future-oriented narratives motivated, illustrated, and visualized through specific solutions. DOS are applied here to contribute to the ongoing transformation of the Milano Food System, which is at the intersection of dynamics influencing the activities of its various ‘nodes’—pivotal points in the supply chain. A specific scenario is then co-designed with relevant actors, combining two influencing factors: governance and sustainability strategy. The aim of this scenario is to highlight areas of multi-actor collaboration and spark transformative projects while also defining roles, values, and capabilities. This article further introduces the evolution of DOS into Transitioning Design-Orienting Scenarios (T-DOS), designed to facilitate outcome-oriented transitions. Characterized by a multi-actor and relational perspective, T-DOS engage stakeholders through a structured process, leveraging local challenges, resources, and actors to ensure the relevance and applicability of practical futures. The T-DOS methodology is finally discussed as a tool to guide systemic design-oriented conversations within the food system and, more broadly, within complex systems. Full article

Drought stress is a universal crisis in sustaining the growth and production of major legumes, including the chickpea. Drought severely reduces the biomass of chickpea plants, with the effect on leaves appearing the most apparent. The aim of this study was to investigate, using various physiological and biochemical markers throughout the pod filling stage, how 78 desi chickpea genotypes tolerated drought stress. Most of the evaluated characteristics showed significant variations between control and drought treatments. The mean performance of most of the investigated parameters significantly decreased under moisture-stressed conditions. RWC, SWD, MSI, and CTD were investigated under terminal drought-stressed conditions. Except for saturated water deficit (SWD), all remaining characteristics declined with increasing stress. Genotypes SAGL152210, SAGL152252, SAGL152347, SAGL22-115, and JG11 were recognized as drought-tolerant based on physiological characteristics. Biochemical markers viz., protein content, total soluble sugar, lipid peroxidation, and proline content, had an impact on osmotic adjustment. Based on non-enzymatic biochemical traits, genotypes SAGL22-115, ICC4958, ICCV201108, ICCV201107, SAGL152252, and JG11 were identified for their capability to survive under drought-stressed conditions. H₂O₂ content, CAT, SOD, POD, APX, and DPPH were considered antioxidant agents. Genotypes SAGL152208, SAGL22-105, SAGL22-112, ICC201108, SAGL152278, SAGL152252, SAGL162371, SAGL162390, ICC 4958, and JG315 may be considered drought-tolerant based on antioxidant activities. These genotypes are believed to be better equipped with physio-biochemical mechanisms and antioxidant defense systems at the cellular level and can be used in breeding programs to breed drought-tolerant cultivar(s). They can also be screened in the future, allowing the line(s) that have remained consistent over time to be recognized and registered as drought-tolerant donors. Full article

In relativity, the Newtonian concepts of velocity and acceleration are observer-dependent quantities that vary with the chosen frame of reference. It is well established that in the comoving frame, cosmic expansion is currently accelerating; however, in the rest frame, this expansion is actually decelerating. In this paper, we explore the implications of this distinction. The traditional measure of cosmic acceleration, denoted by q, is derived from the comoving frame and describes the acceleration of the scale factor a for a 3D space-like homogeneous sphere. We introduce a new parameter $q_E$ representing the acceleration experienced between observers within the light cone. By comparing $q_E$ to the traditional q using observational data from Type Ia supernovae (SN) and the radial clustering of galaxies and quasars (BAO)—including the latest results from DESI2024—our analysis demonstrates that $q_E$ aligns more closely with these data. The core argument of the paper is that $\Lambda$—regardless of its origin—creates an event horizon that divides the manifold into two causally disconnected regions analogous to conditions inside a black hole’s interior, thereby allowing for a rest-frame perspective $q_E$ in which cosmic expansion appears to be decelerating and the horizon acts like a friction term. Such a horizon suggests that the universe cannot maintain homogeneity outside. The observed cosmological constant $\Lambda$ can then be interpreted not as a driver of new dark energy or a modification of gravity but as a boundary term exerting an attractive force, akin to a rubber band, resisting further expansion and preventing event horizon crossings. This interpretation calls for a reconsideration of current cosmological models and the assumptions underlying them. Full article

Taking the debate about cultural appropriation as a starting point, this article explores the relationship different members of the South Asian Australian diaspora have to the Australian multicultural project. Specifically, this article employs an archive of interviews from 2018 with second-generation South Asian Australian women and their (first-generation) mothers and/or grandmothers and explores how they feel about the cultural appropriation of South Asian cultural artefacts (hereafter, ‘Indo chic’). These interviews revealed that first-generation respondents were generally uncritical of Indo chic and perceived non-South Asian Australians consuming South Asian cultural artefacts as a sign of positive cross-cultural exchange that is emblematic of Australian multiculturalism. The second-generation respondents, however, felt threatened by Indo chic and felt appropriation was a racist microaggression that served to reiterate their racial difference (and inferiority) in a white settler society. The generational difference in sentiment reveals a productive fissure within migrant Australian communities to interrogate our feelings about being and feeling ‘Australian’. This article argues that conversations and debates about ‘Indo chic’ within South Asian Australian diasporas reveal the contours of what it is like to be a South Asian woman in contemporary multicultural Australia while also revealing flaws in the Australian multicultural project. In this article, I employ an affective analysis of their responses, drawing on Lauren Berlant’s idea of ‘cruel optimism’ and Sara Ahmed’s conceptions of love and the nation to fully explore the complicated somatics ‘Indo chic’ debates reveal for my respondents. Full article

We perform new measurements of the expansion rate and the sound horizon at the end of the baryon decoupling, and derive constraints on cosmic key parameters in the framework of the $\Lambda$CDM model, wCDM model, non-flat $\Lambda$CDM model and the phenomenological emergent dark energy (PEDE) model. We keep $r_d$ and $H_0$ completely free, and use the recent Dark Energy Spectroscopic Instrument (DESI) Year 1 and Dark Energy Survey (DES) Year 6 BAO measurements in the effective redshift range $0.3<z<2.33$, combined with the compressed form of the Pantheon sample of Type Ia supernovae, the latest 34 observational $H(z)$ measurements based on the differential age method, and the recent $H_0$ measurement from SH0ES 2022 as an additional Gaussian prior. Combining BAO data with the observational $H(z)$ measurements, and the Pantheon SNe Ia data, we obtain $H_0=69.70\pm 1.11$ km ${\mathrm{s}}^{-1}$${\mathrm{Mpc}}^{-1}$, $r_d=147.14\pm 2.56$ Mpc in flat $\Lambda$CDM model, $H_0=70.01\pm 1.14$ km ${\mathrm{s}}^{-1}$${\mathrm{Mpc}}^{-1}$, $r_d=146.97\pm 2.45$ Mpc in PEDE model. The spatial curvature is ${\Omega }_k=0.023\pm 0.025$, and the dark energy equation of state is $w=-1.029\pm 0.051$, consistent with a cosmological constant. We apply the Akaike information and the Bayesian information criterion test to compare the four models, and see that the PEDE model performs better. Full article

Using desi-cow waste products like Jeevamrit under natural farming is widespread among farmers for improving soil biology and productivity. Jeevamrit enhances soil chemical and microbiological properties without needing a large quantity of farmyard manure (FYM) as a sustainable farming practice with a reduced carbon footprint. Despite its traditional use, Jeevamrit faces criticism due to a lack of scientific evidence. This study investigated the comparative effect of Jeevamrit and chemical fertilizers on the growth and yield of marigold cv. Siracole. The experiment employed a randomized block design (RBD) with three replications. The mother block of marigolds was raised for both the summer and winter seasons. From this mother block, three harvesting flushes were taken and propagated from cuttings. The rooted cuttings were planted at monthly intervals and evaluated for flowering parameters and compared to those treated with RDF (30:20:20 N, P, and K g/m²). Soil supplied with Jeevamrit showed enhanced bacteria (26.33%), fungi (18.92%), and actinomycetes (31.21%) populations compared to the recommended dose of fertilizers (RDF) (i.e., N–P–K @ 30:20:20 g m⁻²). Jeevamrit-treated plants have a more marketable flower yield per square meter (3.98%) and a longer shelf life (9.93%) compared to RDF. The study concludes that Jeevamrit @ 2 liters m⁻² is a sustainable and effective alternative to traditional fertilizers for enhancing marigold production in the mid-hills of Himachal Pradesh, where natural farming is already accepted. Full article

Breast cancer, a complex disease with a significant prevalence to form metastases, necessitates novel therapeutic strategies to improve treatment outcomes. Here, we present the results of a comparative molecular study of primary breast tumours, their metastases, and the corresponding primary cell lines using Desorption Electrospray Ionisation (DESI) and Laser-Assisted Rapid Evaporative Ionisation Mass Spectrometry (LA-REIMS) imaging. Our results show that ambient ionisation mass spectrometry technology is suitable for rapid characterisation of samples, providing a lipid- and metabolite-rich spectrum within seconds. Our study demonstrates that the lipidomic fingerprint of the primary tumour is not significantly distinguishable from that of its metastasis, in parallel with the similarity observed between their respective primary cell lines. While significant differences were observed between tumours and the corresponding cell lines, distinct lipidomic signatures and several phospholipids such as PA(36:2), PE(36:1), and PE(P-38:4)/PE(O-38:5) for LA-REIMS imaging and PE(P-38:4)/PE(O-38:5), PS(36:1), and PI(38:4) for DESI-MSI were identified in both tumours and cells. We show that the tumours’ characteristics can be found in the corresponding primary cell lines, offering a promising avenue for assessing tumour responsiveness to therapeutic interventions. A comparative analysis by DESI-MSI and LA-REIMS imaging revealed complementary information, demonstrating the utility of LA-REIMS in the molecular imaging of cancer. Full article

Hungary is a member of the European Union (E.U.), so more than three-quarters of its trade relations are with the E.U. Hungary’s strategic objective is to be among the top-ten E.U. member states in digitalization by 2030. This study aims to examine the country’s digitization development and planned digitization programs and, based on these, to predict Hungary’s expected digitization status. This study also attempts to answer whether Hungary is among the ten most digitally developed E.U. member states. We use the K-means clustering method to assess the current state of digitization and different generic methods to determine future development. The results show that Hungary’s digital development is close to the middle level of the E.U. However, future digital development in Hungary will be more dynamic than in the European Union. This more dynamic Hungarian growth is predicted to catch up with the average of the E.U.’s digital development. However, the results of the extrapolation calculations show that the Hungarian goal of Hungary being among the ten most developed digital countries in the E.U. by 2030 is unrealistic. Full article