Search Results (364)

Pharmacist interventions (PIs) are central to optimising pharmacotherapy, preventing drug-related problems, and improving patient outcomes. In Portugal, the absence of a validated tool to consistently document and classify PIs limits data comparability and service development. Given these gaps, this study aimed to describe hospital pharmacists’ attitudes towards PI documentation and classification, following confirmatory factor analysis (CFA) of a survey instrument, and to provide a comprehensive overview of current practices and behaviours in hospital settings across Portugal. An online questionnaire, previously validated, was distributed online to all hospital pharmacists registered with the Portuguese Pharmaceutical Society (October–December 2024). Sociodemographic data and the cognitive and behavioural domains of pharmacists’ attitudinal model were analysed descriptively, and CFA tested the three-factor structure (Process, Outcome, Satisfaction) of the attitudinal affective domain. Of 1848 pharmacists, 260 responded (14%). Respondents reported performing a mean of 49 PIs/month (SD = 196), although many never recorded (28.8%), classified (56.2%), or analysed (52.3%) interventions. Only 2.7% declared to use a validated classification framework. The CFA supported the structural coherence of the Process factor but revealed some overlapping between Process and Outcome and instability in the Satisfaction factor. The nationwide scope and application of CFA provided partial support for the hypothesised model and highlighted areas for refinement, including revision of Satisfaction items and reconsideration of Process and Outcome as overlapping constructs. Findings highlight strong professional commitment to PIs but persistent barriers, including less clear procedures and satisfaction, underscoring the need for a unified, standardised national system to support consistent recording, classification, and evaluation. Full article

The exponential growth of scientific literature demands scalable methods to evaluate large-language-model outputs beyond surface-level fluency. We present a two-phase framework that separates generation from evaluation: a retrieval-augmented generation system first produces candidate abstracts, which are then embedded into semantic co-occurrence graphs and assessed using seven robustness metrics from complex network theory. Two experiments were conducted. The first varied model, embedding and prompt configurations, achieved results showing clear differences in performance; the best family combined gemma-2b-it, a prompt inspired by chain-of-Thought reasoning, and all-mpnet-base-v2, achieving the highest graph-based robustness. The second experiment refined the temperature setting for this family, identifying $\tau =0.2$ as optimal, which stabilized results (sd $=0.12$) and improved robustness relative to retrieval baselines ($\Delta E_G=+0.08$, $\Delta \rho =+0.55$). While human evaluation was limited to a small set of abstracts, the results revealed a partial convergence between graph-based robustness and expert judgments of coherence and importance. Our approach contrasts with methods like GraphRAG and establishes a reproducible, model-agnostic pathway for the scalable quality control of LLM-generated scientific content. Full article

In vapor-cell atomic clocks, a buffer gas is employed to slow the collision rate of atoms with the vapor-cell’s walls, which dephases the atomic coherence and thereby contributes to the 0-0 hyperfine transition’s linewidth. However, the buffer gas also gives rise to a temperature-dependent pressure shift in the hyperfine transition, Δν_hfs. As a consequence, the clock’s frequency develops a temperature dependence, manifesting as a clock environmental sensitivity, which can degrade the clock’s long-term frequency stability. To mitigate this problem, it is routine to employ a buffer-gas mixture in a vapor cell. With an appropriate choice of buffer gases, d[Δν_hfs]/dT = 0 at a vapor temperature T_c, “zeroing out” the clock’s buffer-gas temperature sensitivity. Unfortunately, T_c depends on the exact mix of buffer-gas partial pressures, and if not properly achieved, T_c will be far from the vapor temperature that yields useful atomic clock signals, T_o. Therefore, understanding buffer-gas partial pressures in sealed vapor cells is crucial for optimizing a vapor cell clock’s performance, yet, to date, there have been no easy means for measuring buffer-gas partial pressures non-destructively in sealed glass vapor cells. Here, we demonstrate an optical technique that can accurately assess partial pressures in binary buffer-gas mixtures. Moreover, this technique is relatively simple and can be easily implemented. Full article

Background: Chronic inflammatory skin disorders, including atopic dermatitis, psoriasis, acne, and chronic wounds, affect nearly two billion people worldwide, impose substantial morbidity and economic burden, and remain only partially controlled by existing therapies. The cutaneous endocannabinoid system (ECS), comprising cannabinoid receptors, endocannabinoids, and their metabolic enzymes, regulates inflammation, pruritus, barrier integrity, and tissue repair; cannabinoid receptor type 2 (CB₂) has emerged as a particularly relevant target. β-Caryophyllene (BCP), a dietary sesquiterpene and highly selective CB₂ agonist with favorable safety and pharmacokinetic attributes, has attracted attention as a promising topical candidate. Methods: We systematically searched PubMed, Embase, and Web of Science (inception–30 July 2025) for studies on “β-caryophyllene” and dermatological outcomes, prioritizing purified BCP and analytically characterized BCP-rich fractions. Quantitative parameters, including tested concentration ranges (0.5 µM–10%) and principal mechanistic outcomes, were extracted to provide a translational context. Results: BCP penetrates the stratum corneum, suppresses NF-κB/MAPK and IL-4/TSLP pathways, enhances Nrf2-driven antioxidant defenses, and accelerates re-epithelialization and collagen remodeling. Across in vitro, in vivo, and formulation studies, BCP produced consistent anti-inflammatory and barrier-restorative effects within this concentration range. CB₂ antagonism attenuated these responses, confirming receptor specificity. BCP’s volatility and autoxidation to β-caryophyllene oxide (BCPO) necessitate stability-by-design strategies using antioxidants, low-oxygen processing, and protective packaging. Human evidence, limited to BCP-rich botanicals such as Copaifera oleoresins, suggests benefits for scars, wounds, and acne but lacks compound-specific validation. Conclusions: BCP exhibits coherent CB₂-mediated anti-inflammatory, antipruritic, antioxidant, and reparative actions with a favorable safety profile. Dose-defined, oxidation-controlled clinical trials of purified BCP are warranted to establish its potential as a steroid-sparing topical therapy. Full article

The global integration of digital technologies into energy systems constitutes a critical pathway for achieving sustainable and intelligent energy governance. This study evaluates the effectiveness of the energy digital transformation policies across eighteen major economies through a comprehensive four-dimensional framework, which encompasses policy objectives, intensity, instruments, and stakeholder engagement. Through the application of the entropy-weighted TOPSIS method, our comparative analysis identifies a distinct hierarchy in national policy performance. The first tier, including the United Kingdom, the United States, South Korea, Australia, China, and Germany, demonstrates high coherence, enforceable mechanisms, and multi-actor coordination. The second tier, comprising Saudi Arabia, France, Turkey, Russia, Canada, and India, exhibits partial alignment with notable strengths in selected dimensions yet significant gaps in enforceability or stakeholder integration. The third tier, featuring Italy, Brazil, Argentina, Mexico, Japan, and Indonesia, is characterized by fragmented approaches and aspirational goals lacking implementation specificity. Stakeholder inclusiveness emerges as the most influential dimension, accounting for 38.3% of total weighting and substantially accounting for variations in efficacy. Moreover, nonlinear threshold effects are identified, indicating that subcritical performance in any dimension leads to disproportionate declines in overall outcomes. These findings underscore that synergistic policy design, which entails balancing objectives, governance capacity, instruments, and actors, is indispensable for effective energy digitalization. Full article

Electromagnetically induced transparency (EIT) is well known as a quantum optical phenomenon that permits a normally opaque medium to become transparent due to the quantum interference between transition pathways. This work addresses multi-soliton dynamics in an EIT system modeled by the integrable Maxwell–Bloch (MB) equations for a three-level $\Lambda$-type atomic configuration. By employing a generalized gauge transformation, we systematically construct explicit N-soliton solutions from the corresponding Lax pair. Explicit forms of one-, two-, three-, and four-soliton solutions are derived and analyzed. The resulting pulse structures reveal various nonlinear phenomena, such as temporal asymmetry, energy trapping, and soliton interactions. They also highlight coherent propagation, elastic collisions, and partial storage of pulses, which have potential implications for the design of quantum memory, slow light, and photonic data transport in EIT media. In addition, the conservation of fundamental physical quantities, such as the excitation norm and Hamiltonian, is used to provide direct evidence of the integrability and stability of the constructed soliton solutions. Full article

Background: Dietary patterns in Eastern Europe are unevenly characterized despite their relevance for public health, food policy, and the sustainability of regional food systems. Objective: This study aimed to identify and compare the main dietary patterns across Eastern European countries (2010–2022) using FAOSTAT food balance data, and to examine their implications for public health and sustainable food systems. Methods: We conducted a comparative ecological analysis of FAOSTAT Food Balance Sheets for ten Eastern European countries (2010–2022). Multi-annual means were standardized as Z-scores. We applied principal component analysis (PCA) to major food groups and to selected subgroups (cereals, meat, vegetable oils), followed by agglomerative hierarchical clustering (Ward, Euclidean). EFSA macronutrient ranges and fiber cut-offs were used solely as descriptive benchmarks. Results: The PCA of major food groups identified two dominant axes separating plant-based patterns (cereals, vegetables) from animal/lipid-centered diets; subgroup analyses reproduced these oppositions (e.g., sunflower vs. rapeseed oils). Hierarchical clustering revealed a stable Central–Eastern core with higher lipid profiles (Czechia, Hungary, Slovakia, partially Poland) and a second pattern with higher carbohydrates and energy (Romania, Ukraine; proximity of Moldova, Belarus, Russian Federation). Countries differed markedly in fiber and energy: Romania showed the highest energy intake, while Slovakia had the lowest fiber, and Ukraine combined very high carbohydrates with low lipids. These structures were robust to sensitivity checks and consistent across biplots, heatmaps, and dendrograms. Conclusions: Eastern Europe comprises coherent dietary subgroups rather than a homogeneous profile. Beyond their public health relevance, these typologies provide an operational map for tailoring dietary guidelines, strengthening food security, and supporting the transition toward sustainable food systems. Future work should link food availability data with individual consumption, environmental indicators, and resilience metrics to inform long-term strategies for sustainable and equitable nutrition. Full article

As regional integration accelerates globally, green development has emerged as a pivotal imperative for reconciling economic growth with environmental sustainability. This study employs a Difference-in-Differences framework incorporating city and year fixed effects to examine the impact of regional integration on green development efficiency in China’s Yangtze River Delta. The empirical findings reveal that regional integration significantly undermines green development efficiency, a conclusion corroborated by rigorous robustness checks including parallel trends and placebo tests. Mechanism analysis demonstrates that trade openness and digital economy development function as partial mediating channels that modestly attenuate the direct adverse effect of regional integration, whereas the decline in secondary industry agglomeration amplifies the negative impact. Notably, innovation capability has yet to fully unlock its potential for green transformation, it intensifies the negative effects of regional integration across all three mediating mechanisms. Building on these findings, this study proposes policy recommendations including strengthening multi-level green governance frameworks, integrating ecological compensation and carbon trading systems, advancing low-carbon trade structures, promoting the synergistic development of digitalization and green transformation, facilitating the green transition of secondary industries, and reinforcing green technology innovation. These insights provide empirical evidence and policy references for achieving coherence between regional integration and sustainable development objectives. Full article

We investigate the quantum dynamics of entanglement and fidelity in the hyperfine structure of hydrogen atoms under dephasing noise, modeled via the Lindblad master equation. The effective Hamiltonian captures the spin–spin interaction between the electron and proton, with dephasing incorporated through local Lindblad operators. Analytical solutions for the time-dependent density matrix are derived for various initial states, including separable, partially entangled, and maximally entangled configurations. Entanglement is quantified using the concurrence, while fidelity measures the similarity between the evolving state and the initial state. Numerical results demonstrate that entanglement exhibits oscillatory decay modulated by the dephasing rate, with anti-parallel spin states displaying greater robustness compared to parallel configurations, often leading to entanglement sudden death. Fidelity dynamics reveal similar damped oscillations, underscoring the interplay between coherent hyperfine evolution and environmental dephasing. These insights elucidate strategies for preserving quantum correlations in atomic systems, with implications for quantum information processing and metrology. Full article

Autism Spectrum Disorder (ASD) is a complex and multifactorial neurodevelopmental condition whose pathogenesis remains only partially elucidated. Earlier accounts of oxidative stress in ASD often relied on the reductive paradigm of an imbalance between oxidants and antioxidants. In contrast, this narrative review, based on a systematic examination of 1102 publications indexed in scientific databases from 2002 to July 2025, reframes the discussion in terms of redox system dysfunction, a broader and more integrative construct. Here, reactive oxidant species, molecular targets, and reducing/antioxidant counterparts are considered elements of a dynamic circuitry whose maladaptation progressively undermines homeostasis. The sequence of events unfolds in three stages. The first is primary redox dysfunction, manifesting as alterations in metabolic, signaling, and defense pathways. From this disturbance, a second stage arises, marked by functional derailment of cellular compartments—from membranes and cytosol to organelles and nuclei—including mitochondrial and peroxisomal deficits. Ultimately, a third stage emerges, defined by neurodevelopmental alterations such as impaired neurotransmission, synaptic dysfunction, abnormal plasticity, morphogenetic defects, neuroinflammation, and gut–brain–microbiota disarrangements. This progression situates the redox system as a central hub at the interface between human cells and the microbiota, resonating with the ecological and evolutionary principles of the holobiont and the One Health framework. By weaving dispersed evidence into a coherent perspective, this review advances beyond previous analyses, offering a unifying paradigm that connects biochemical dysfunction to clinical heterogeneity in ASD and opens new directions for interdisciplinary research. Full article

We investigate the quantum dynamics of coherence in the hyperfine structure of hydrogen atoms subjected to dephasing noise, modeled using the Lindblad master equation. The effective Hamiltonian describes the spin–spin interaction between the electron and proton, with dephasing introduced via Lindblad operators. Analytical solutions for the time-dependent density matrix are derived for various initial states, including separable, partially entangled, and maximally entangled configurations. Quantum coherence is quantified through the $l_1$-norm measures, while purity is evaluated to assess mixedness. Results demonstrate that coherence exhibits oscillatory decay modulated by the dephasing rate, with antiparallel spin states showing greater resilience against noise compared to parallel configurations. These findings highlight the interplay between coherent hyperfine dynamics and environmental dephasing, offering insights into preserving quantum resources in atomic systems for applications in quantum information science. Full article

The increasing integration of artificial intelligence agents (AIAs) based on large language models (LLMs) is transforming many spheres of society. These agents act as human assistants, forming Distributed Intelligent Systems (DISs) and engaging in opinion formation, consensus-building, and collective decision-making. However, complex DIS network topologies introduce significant uncertainty into these processes. We propose a quantum-inspired graph signal processing framework to model collective behavior in a DIS interacting with an external environment represented by an influence matrix (IM). System topology is captured using scale-free and Watts–Strogatz graphs. Two contrasting interaction regimes are considered. In the first case, the internal structure fully aligns with the external influence, as expressed by the commutativity between the adjacency matrix and the IM. Here, a renormalization-group-based scaling approach reveals minimal reservoir influence, characterized by full phase synchronization and coherent dynamics. In the second case, the IM includes heterogeneous negative (antagonistic) couplings that do not commute with the network, producing partial or complete spectral disorder. This disrupts phase coherence and may fragment opinions, except for the dominant collective (Perron) mode, which remains robust. Spectral entropy quantifies disorder and external influence. The proposed framework offers insights into designing LLM-participated DISs that can maintain coherence under environmental perturbations. Full article

This study proposes an image-enhancement method to address the challenges of low visibility and color distortion in images captured during yellow sandstorms for an image sensor based outdoor surveillance system. The technique combines traditional image processing with deep learning to improve image quality while preserving color consistency during transformation. Conventional methods can partially improve color representation and reduce blurriness in sand–dust environments. However, they are limited in their ability to restore fine details and sharp object boundaries effectively. In contrast, the proposed method incorporates Retinex-based processing into the training phase, enabling enhanced clarity and sharpness in the restored images. The proposed framework comprises three main steps. First, a cycle-consistent generative adversarial network (CycleGAN) is trained with unpaired images to generate synthetically paired data. Second, CycleGAN is retrained using these generated images along with clear images obtained through multiscale image decomposition, allowing the model to transform dust-interfered images into clear ones. Finally, color preservation is achieved by selecting the A and B chrominance channels from the small-scale model to maintain the original color characteristics. The experimental results confirmed that the proposed method effectively restores image color and removes sand–dust-related interference, thereby providing enhanced visual quality under sandstorm conditions. Specifically, it outperformed algorithm-based dust removal methods such as Sand-Dust Image Enhancement (SDIE), Chromatic Variance Consistency Gamma and Correction-Based Dehazing (CVCGCBD), and Rank-One Prior (ROP+), as well as machine learning-based methods including Fusion strategy and Two-in-One Low-Visibility Enhancement Network (TOENet), achieving a Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) score of 17.238, which demonstrates improved perceptual quality, and an Local Phase Coherence-Sharpness Index (LPC-SI) value of 0.973, indicating enhanced sharpness. Both metrics showed superior performance compared to conventional methods. When applied to Closed-Circuit Television (CCTV) systems, the proposed method is expected to mitigate the adverse effects of color distortion and image blurring caused by sand–dust, thereby effectively improving visual clarity in practical surveillance applications. Full article

Background: Rhegmatogenous retinal detachment (RRD), the most common type of retinal detachment, requires prompt surgery to reattach the retina and avoid permanent vision loss. While surgical treatment is adapted to each individual case, one frequent option is pars plana vitrectomy (PPV) with silicone oil (SO) tamponade. Despite achieving anatomical success (complete retinal attachment), concerns persist regarding potential microvascular alterations in the retina and choroid, with a negative impact on visual function. Optical coherence tomography angiography (OCTA) allows detailed, in-depth imaging of retinal and choroidal circulation, whereas microperimetry makes it possible to accurately assess macular function. This review aims to strengthen the existing evidence on vascular and functional alterations at the macular level after SO tamponade in cases of RRD. Methods: A narrative review was conducted using a structured approach, utilizing a PubMed search from January 2000 up to April 2025. Twenty-three studies on OCTA and microperimetry after SO tamponade for RRD were included. Data on vessel densities, choroidal vascular index (CVI), foveal avascular zone (FAZ) size, and retinal sensitivity were extracted and qualitatively analyzed. Results: Studies consistently reported a reduction in the vessel density within the superficial capillary plexus (SCP) under SO tamponade, with partial but incomplete reperfusion post-removal. Choroidal perfusion and CVI were also decreased, exhibiting a negative correlation with the duration of SO tamponade. Microperimetry demonstrated significant reductions in retinal sensitivity (~5–10 dB) during SO tamponade, which modestly improved (~1–2 dB) following removal but generally remaining below normal levels. Conclusions: SO tamponade causes substantial retinal and choroidal vascular impairment and measurable macular dysfunction, even after anatomical reattachment of the retina. It is recommended to perform early SO removal (~3–4 months) and implement routine monitoring by OCTA and microperimetry with the aim of optimizing patient outcomes. Future research should focus on investigating protective strategies and enhancing visual rehabilitation following RRD repair. Full article

This case study of the Văcărești area in Bucharest documents what happened to an abandoned communist urban megaproject, which had been undertaken in a typical tabula rasa manner, applying the dictatorial politics of the communist regime. A significant monastic complex was razed, and a massive riverine holding basin was partially constructed in the 1980s. The area then experienced several decades of rewilding of the basin and of uncontrolled urban development around it until its recent designation as a Natural Urban Park (NUP). This study uses local observations, desktop research and the results of 48 semi structured interviews with planning and other specialists. It considers the impacts of tabula rasa and laissez-faire (i.e., uncontrolled and essentially market-driven) planning regimes on the local landscape from the viewpoint of Văcărești’s current and potential levels of ecological and cultural resilience and sustainability. The research addresses three questions: (a) what is the study area’s sustainability potential? (b) what, if any, physical interventions to recover the study area’s place memory might be feasible? and (c) how might the resilience of its new urban landscape be improved? The findings from this study have both local and general importance, demonstrating to urban communities why they need to define and act in time in order to capitalize on their natural potential and to recover cultural values which may have been destroyed or damaged. It notes the long-term inaction and lack of coherent urban renewal policies for this study area and concludes that these have magnified the challenges that it currently faces. Full article