Search Results (2,848)

Agrivoltaic (AV) systems offer a promising solution to global challenges, such as land scarcity, food insecurity, and increasing energy demand, by enabling the simultaneous production of photovoltaic (PV) electricity and agricultural outputs on the same land. This review synthesizes more than two decades of interdisciplinary research on solar–agriculture integration, including agrivoltaic systems, biomass-based approaches, and greenhouse-integrated photovoltaic technologies, with particular emphasis on their relevance to arid and semi-arid environments, such as those found in the Middle East. The impacts of different PV configurations (such as semi-transparent, bifacial, vertical, and sun-tracking modules) on crop productivity, microclimatic conditions, and land-use efficiency are critically examined. The findings indicate that AV systems, particularly in water-scarce, high-irradiance regions, can enhance climate resilience, reduce competition for land, and improve both energy and water-use efficiency. Recent advances in crop selection strategies, adaptive PV system designs, and smart irrigation technologies further strengthen the feasibility of these systems for Middle Eastern agricultural systems. Nevertheless, key challenges remain, including the need for region-specific design optimization, improved understanding of crop light requirements, and robust assessments of economic viability under diverse policy and market conditions. Overall, life cycle assessments and techno-economic analyses confirm the environmental and economic benefits of AV systems, especially for sustainable irrigation, agricultural productivity, and rural development in the Middle East context. This review provides strategic insights to support the sustainable deployment and scaling of agrivoltaic systems across Middle Eastern agricultural landscapes, informed by global experience. A dedicated regional assessment summarizes existing agrivoltaic pilots and feasibility studies across the Middle East and North Africa, highlighting technology choices, crop compatibility, and policy drivers. Full article

The adaptive immune system plays a vital role in protecting individuals against invading pathogens primarily through its ability to discern self- versus non-self-antigens. Conditions leading to the breakdown of such immune surveillance can have devastating consequences, one of them being erroneous recognition and immune response against self-antigens, resulting in autoimmunity. Autoimmune diseases (AID) are widespread and span multiple organ systems and cellular functions. Historically, the etiology of AID is multifarious and complex owing to a mix of genetic predisposition and environmental conditions. However, in recent years the study of somatic mutations has gained traction in understanding the basis of AID. Somatic mutations commonly result from elevated DNA damage and inefficient DNA repair and have been linked to cancer. Moreover, the hyper-inflammatory microenvironment is highly conducive to the accumulation of DNA damage in immune cells. Thus, understanding the mutational burden and landscape of somatic mutagenesis in the context of AID can illuminate the basis of disease development and progression. In this review, we summarize past and current research on genome instability in AID, focusing on the nexus between inflammation, immune response, DNA damage, and mutagenesis, and discuss the possible link between AID and cancer development. We provide examples of autoimmune disorders that have been studied from a mutational standpoint and outline results from key studies highlighting the extent of DNA damage and mutagenesis in cells from AID patients. Lastly, we provide our perspective on the key challenges and future directions to understand the role of somatic mutagenesis in autoimmunity and cancer. Full article

This study investigates the nexus between sustainable development indicators and economic growth across seven strategic emerging economies: China, Turkey, Brazil, Malaysia, Iran, Egypt, and Argentina, from the period 2002 to 2023. Utilizing panel data regression analysis, the Random Effects model was identified as the most appropriate estimation method based on rigorous statistical criteria. The empirical results reveal that R&D expenditures, health expenditures, the renewable energy share, and CO₂ emissions exert a positive and significant influence on GDP. In contrast, education expenditures were found to have a negative and statistically insignificant effect on growth. This study emphasizes the necessity of supporting vital sectors, such as agriculture and industry, while simultaneously adopting effective environmental policies to reduce emissions and ensure long-term sustainable development goals in the analyzed countries. Full article

Clear aligners are a popular alternative to fixed orthodontic appliances; however, technical data on the optimal final aligner shell thickness for directly printed aligners remain limited. This in vitro experimental pilot study evaluated the mechanical response of patient-specific, directly 3D-printed aligners of four nominal shell thicknesses (0.04, 0.06, 0.08, and 0.10 mm) fabricated from BioMed Clear resin. A single subject with dental crowding was scanned and a set of aligner shells was designed and printed (n = 3 per thickness). Compressive tests up to 1000 N were performed and compressive extension (mm) recorded; group means ± SD were compared by means of one-way ANOVA. No statistically significant differences in compressive extension were found among the four thickness groups (ANOVA, F(3,8) = 2.242, p = 0.161). The 0.08 mm group showed a lower mean compressive extension in this dataset, but the difference did not reach statistical significance; given the small sample size and single-subject nature of the study, this result should be considered exploratory. This recent study clarifies printing and post-processing parameters and highlights limitations and directions for future work. Full article

This study examines the regime-dependent threshold between fiscal and monetary policy interactions across the EU-27 states, utilizing quarterly data from 2000 to 2025. A fixed-effects panel threshold regression model has been adopted in this study, using endogenously determined debt thresholds, to assess how budget, debt, money supply, inflation, and fluctuations in interest rates interact under different debt regimes. This analysis also incorporates shock dummy variables following mild recessions and inflationary pressures, the global financial crisis, the sovereign debt crisis, the COVID-19 pandemic, and recent energy price and inflationary shocks. Consequently, three major findings emerge: firstly, fiscal deficits increase unemployment across both regimes, but their positive contribution is significantly reduced by 81% in high-debt regimes. Therefore, conventional Ricardian equivalence has been supported throughout this study in terms of precautionary savings and crowding-out impacts, which further contribute to intensifying with alternative debt regimes. Secondly, monetary variables, in this paper, have demonstrated limited direct effects on unemployment mitigation that highlight the transmission mechanisms under high-debt regimes. Thirdly, the effectiveness of crisis response critically depends on existing fiscal spaces, while the debt regime is interconnected with labor market outcomes. The main findings of the study provide empirical support for the Maastricht debt criterion of 60% as a structural threshold, which is a benchmark for a fundamental shift in the policy transmission mechanism. This study has identified rules and regulations for uniform fiscal consolidation as insufficient; rather, state-contingent governance frameworks have been highly recommended for managing asymmetrical fiscal–monetary policy interactions across different debt regimes. Furthermore, it contributes to the reformation of the more impactful fiscal and monetary policy interaction rule under a monetary union. Full article

This paper presents Nexus, a proof-of-concept low-cost, modular, and reprogrammable multichannel data logger aimed at validating the architectural feasibility of an open and scalable acquisition platform for scientific instrumentation. The system was conceived to address common limitations of commercial data loggers, such as high cost, restricted configurability, and limited autonomy, by relying exclusively on widely available components and open hardware/software resources, thereby facilitating reproducibility and adoption in resource-constrained academic and industrial environments. The proposed architecture supports up to six interchangeable acquisition modules, enabling the integration of up to 20 analog channels with heterogeneous resolutions (24-bit, 12-bit, and 10-bit ADCs), as well as digital acquisition through multiple communication interfaces, including I²C (two independent buses), SPI (two buses), and UART (three interfaces). Quantitative validation was performed using representative acquisition configurations, including a 24-bit ADS1256 stage operating at sampling rates of up to 30 kSPS, 12-bit microcontroller-based stages operating at approximately 1 kSPS, and 10-bit operating at 100 SPS, consistent with stable real-time acquisition and visualization under proof-of-concept constraints. SPI communication was configured with an effective clock frequency of 2 MHz, ensuring deterministic data transfer across the tested acquisition modules. A hybrid data management strategy is implemented, combining high-capacity local storage via USB 3.0 solid-state drives, optional cloud synchronization, and a 7-inch touchscreen human–machine interface based on Raspberry Pi OS for system control and visualization. Power continuity is addressed through an integrated smart uninterruptible power supply, which provides telemetry, automatic source switching, and limited backup operation during power interruptions. As a proof of concept, the system was functionally validated through architectural and interface-level tests, demonstrating stable communication across all supported protocols and reliable acquisition of synthetic and biosignal-like waveforms. The results confirm the feasibility of the proposed modular architecture and its ability to integrate heterogeneous acquisition, storage, and interface subsystems within a unified open-source platform. While not intended as a finalized commercial product, Nexus establishes a validated foundation for future developments in modular data logging, embedded intelligence, and application-specific instrumentation. Full article

Background/Objectives: Methicillin-resistant Staphylococcus aureus (MRSA) continues to pose a significant challenge for infection prevention, particularly because of its ability to persist on surfaces and form resilient biofilms. Although bacteriophages have attracted renewed interest as alternatives or complements to chemical disinfectants, their applied use requires careful assessment of antimicrobial performance, formulation tolerance, and genomic context. Methods: Staphylococcus-infecting bacteriophages were isolated from environmental sources and examined against reference Staphylococcus isolates. Two phage isolates, designated MRSA-W3 and SA-W2, displayed lytic activity against a broad subset of clinical MRSA strains. Using a time-resolved agar-based infection assay, phage exposure resulted in a multiplicity-of-infection-dependent decline in viable MRSA populations. Results: Time-resolved infection assays revealed a multiplicity-of-infection-dependent reduction in viable MRSA, with a pronounced decrease observed approximately 40 min post-infection. At this time point, phage-treated cultures showed a reduction of 1.2–1.8 log₁₀ CFU/mL relative to untreated controls (mean Δlog₁₀ = 1.5; 95% CI, 1.1–1.9), while control cultures remained stable. Quantitative biofilm assays demonstrated that both phages reduced biofilm biomass compared with untreated conditions, with inhibition values ranging from 20% to 45% across isolates (p ≤ 0.05), reflecting strain-dependent but reproducible effects. Assessment of formulation compatibility indicated that both phages retained infectivity following exposure to sodium dodecyl sulfate, Triton X-100, and Tween 80, whereas ethanol (≥10%) and higher concentrations of dimethyl sulfoxide were associated with rapid loss of activity. In surface disinfection models, selected phage–surfactant formulations achieved a maximum reduction of 2.18 log₁₀ CFU/cm² compared with untreated controls (p ≤ 0.05). Infection-coupled whole-genome sequencing of MRSA-infecting phage MRSA-W3 produced a high-quality assembly (99.99% completeness; 0.13% contamination) and revealed a mosaic genome containing incomplete prophage-like regions, which were interpreted conservatively as evidence of shared phage ancestry rather than active temperate behavior. Conclusions: Therefore, these findings suggest that bacteriophage-based approaches may be feasible for MRSA surface decontamination, while clearly emphasizing the need for context-specific validation before practical implementation. Full article

The food processing industry is undergoing a profound transformation with the integration of Artificial Intelligence (AI), evolving from traditional automation to intelligent, adaptive systems aligned with Industry 5.0 principles. This review examines AI’s role across the food value chain, including supply chain management, quality control, process optimization in key unit operations, and emerging areas. Recent advancements in machine learning (ML), computer vision, and predictive analytics have significantly improved detection in food processing, achieving accuracy exceeding 98%. These technologies have also contributed to energy savings of 15–20% and reduced waste through real-time process optimization and predictive maintenance. The integration of blockchain and Internet of Things (IoT) technologies further strengthens traceability and sustainability across the supply chain, while generative AI accelerates the development of novel food products. Despite these benefits, several challenges persist, including substantial implementation costs, heterogeneous data sources, ethical considerations related to workforce displacement, and the opaque, “black box” nature of many AI models. Moreover, the effectiveness of AI solutions remains context-dependent; some studies report only marginal improvements in dynamic or data-poor environments. Looking ahead, the sector is expected to embrace autonomous manufacturing, edge computing, and bio-computing, with projections indicating that the AI market in food processing could approach $90 billion by 2030. Full article

The main purpose of this study was to conduct a bibliometric analysis of scientific knowledge and trends in modern finance. To this end, the analysis was based on the keywords: “finance”, “automation”, and “ESG”. The analysis aimed to provide theoretical insights into the economic and financial implications of automation and its role in achieving ESG objectives. From a methodological standpoint, bibliometric research was conducted on 21 September 2025. It involved analysing a total of 16,500 scientific articles published between 1974 and 2026 in two databases: The Web of Science Core Collection and Scopus. The Bibliometrix R 5.2.0 version tool was used to generate visualisations. Thematic mapping, three-field plotting, keyword mapping, and clustering were the main methods used to analyse the associations between finance, automation, and ESG principles. The study’s results showed an average annual increase in publications of approximately 3.80% and 2.50%, respectively, while international collaborations between researchers have become increasingly prominent in recent years. At the same time, the co-occurrence network analysis identified five key thematic clusters in the Web of Science Core Collection and three in Scopus. From a comparative perspective, these clusters highlight the most significant connections between environmental, social, and governance (ESG) performance, corporate social responsibility (CSR) impact, financial performance, economic growth, sustainable development, and the implications of the automation process. From a bibliometric point of view, this research contributes to a better understanding of the multiple digital transformations specific to the current financial framework, generating possible future research directions on the significant role of automation in financial, environmental, and social performance. Furthermore, automation is a critical component of the digital future of finance. Analysing and investigating the causal relationships between automation and Environmental, Social, and Governance (ESG) principles will necessitate new areas of study within the financial sphere. Full article

The circular economy offers effective strategies to support the transition from fossil fuels to renewable energy. However, research at the nexus of the circular economy and energy transition remains fragmented across disciplines and lacks a systematic and integrative overview of its intellectual structure and thematic evolution. To address this gap, this study conducts a large-scale bibliometric analysis of 2977 journal articles published between 2008 and 2025 to examine the development, knowledge structure, and global distribution of this field. Performance analysis and scientific mapping are employed to evaluate research output, subject areas, thematic structures, intellectual foundations, journal dissemination, and international collaborations. The results indicate that the circular economy–energy transition nexus is a rapidly growing and multidisciplinary field. It is anchored by conceptual and policy-oriented works and complemented by applied studies on waste management, bioenergy, and decarbonization technologies that directly relate to energy production, conversion, and system efficiency. The geographical distribution shows a multi-pillar but uneven research landscape, with Europe and China emerging as leading contributors, while other regions remain comparatively underrepresented, shaped by regional priorities and collaborative networks. The study highlights emerging research gaps and future directions, offering insights into how circular economy strategies such as resource circularity and waste-to-energy applications can contribute to sustainable and equitable energy transitions and inform future energy-focused research agendas in the context of low-carbon transformation. Full article

Crystal structures of 4-(trifluoromethyl)benzene-1-carbohydrazide (1), 4-(trifluoromethyl)-N’-{[4-(trifluoromethyl)phenyl]carbonyl}benzohydrazide (2) and (1R,2S,6R,7S,8S,10R)-4-({[4-(trifluoromethyl)phenyl]carbonyl}amino)-4-azatetracyclo [5.3.2.0^8,10.0^2,6]dodec-11-ene-3,5-dione (3) were first reported. Besides the three new single-crystal structures, the single-crystal structure of tecovirimat (4) was also described herein. Hirshfeld analysis quantified intermolecular interactions, and PXRD confirmed high crystal phase purity. DSC data and packing energy calculations demonstrated that the melting point order matched the magnitude of packing energies for compounds with similar structures and analogous intermolecular interactions. According to the ICH M7 guidelines, in silico genotoxicity assessment using Derek Nexus and Sarah Nexus indicated that 2 showed no structural alerts for genotoxicity (ICH M7 Class 5), whereas 1 and 3 were classified as ICH M7 Class 3 due to structural features associated with potential genotoxicity, warranting further experimental evaluation. Full article

Women in resource-scarce communities navigate daily scarcity, structural neglect, and gendered violence, leaving profound but often invisible impacts on mental and reproductive health. Women play an active role in the Water–Energy–Food (WEF) space; they provide water, food, and household security daily. This study investigates how chronic deprivation across the WEF nexus shapes experiences of psychological distress, reproductive vulnerability, and social marginalization in South African settings: Lorentzville, a migrant urban informal settlement, and Mqanduli, a peri-urban Eastern Cape community. Using ethnographic methods, including in-depth interviews, focus group discussions, and participatory observation, and an analytical framework combining structural violence and feminist political ecology, we show that insecurity over water, energy, and food constrains reproductive autonomy, amplifies self-reported symptoms of anxiety and depression, and drives coping and adaptation strategies such as informal work, transactional sex, and fragile social support networks. These strategies, while mitigating immediate risks, cannot fully offset systemic harms. By foregrounding women’s lived experiences, this study extends the WEF nexus framework to include embodied, emotional, and reproductive dimensions, linking historical legacies of colonial and apartheid neglect to contemporary inequities. The findings offer critical insights for integrated health, social, and resource policy interventions that center on gender, care, and justice within environmental, wellbeing, and livelihood. Full article

To maintain the integrity of the outer membrane of Gram-negative bacteria, such as Escherichia coli, the levels of two essential components, phospholipids (PL) and lipopolysaccharide (LPS), are tightly regulated, although the underlying molecular mechanisms are unclear. E. coli synthesizes three main PLs, including essential phosphatidylethanolamine and phosphatidylglycerol and nonessential cardiolipin (CL). We showed that CL synthesis is conditionally essential in ΔlapD bacteria. Using this synthetic lethal phenotype, we isolated suppressors that rescued growth at elevated temperatures. We showed that loss-of-function mutations in cdsA encoding CDP-diglyceride synthetase, and pgsA, which encodes phosphatidylglycerophosphate synthase, bypass this lethality. Such mutations reduce the relative abundance of acidic phospholipids, which are otherwise elevated in Δ(lapD clsA) bacteria, and increase the amounts of cis-vaccenic acid without altering amounts of LpxC mediating the first committed step in LPS biosynthesis. Interestingly, overexpression of genes, including accC and glnB, whose products can inhibit fatty acid/PL synthesis, overcame the lethality of Δ(lapD clsA) bacteria. We demonstrated that PgsA co-purifies with LapB, which regulates LpxC stability and acts as a hub for proteins involved in PL and LPS biosynthesis, including LapD. Overall, our results reveal that LapD is positioned at the regulatory nexus between LPS assembly and fatty acid/PL synthesis. Full article

This study examines the social, economic and cultural impacts that Latin American women face due to climate-induced displacement, considering these impacts as arenas of conflict and negotiation. Using an intersectional framework, the study analyses how climate disasters exacerbate structural inequalities rooted in patriarchal systems, thereby constraining women’s adaptive capacity while simultaneously catalysing resistance strategies. Through a comparative analysis of Bangladesh and the Dry Corridor in Central America using a Gender Vulnerability Index (GVI), the study reveals that displaced women navigate contested spaces, disputing access to resources, legal recognition and territorial belonging, while constructing transnational solidarity networks and cooperative economies. The emergence of women climate refugees challenges international legal frameworks, exposing critical gaps in protection regimes. The findings emphasise the need for gender-responsive policies that recognise women as transformative agents who negotiate power asymmetries in contexts of environmental crisis, not merely as vulnerable populations. This research contributes to our understanding of the nexus between climate change, gender and migration by foregrounding the dialectic of domination and agency in Latin American displacement processes. Full article

This article explores how ideologies and discourses of school safety and policing operate within the U.S. educational system and shape broader understandings of safety, punishment, and mass incarceration. Guided by corpus-assisted discourse studies (CADS) and Critical Discourse Analysis (CDA), it examines three questions: how different educational community members define safety (and for whom), how policing is constructed as safe or unsafe, and how these narratives position certain students as threats. Analyzing school board meetings, online public comments, and conversations with students within the context of a 2020 local decision to remove School Resource Officers from Eugene, Oregon, public schools, the study identifies common and contested discursive strategies about policing and youth across social and historical contexts. A central finding is the role of adultism in sustaining links between schools and prisons, normalizing compliance, silence, and the disappearance of youth who challenge adult authority. These adultist discourses position students as belonging to adults and construct dissent as danger, enabling surveillance, policing, and incarceration to circulate as commonsense approaches to “community safety.” From these findings, the article introduces YouthCrit as an emergent conceptual framework grounded in youth analyses of adultism. In turn, YouthCrit offers a framework for scholars, educators, and practitioners to challenge deficit narratives about students while centering youth presence and perspectives in school-based research and within social movements for community safety. Full article