Search Results (5,479)

Non-isocyanate polyurethanes (NIPUs) produced by the aminolysis of cyclic carbonates are often presented as safer and more sustainable alternatives to conventional polyurethanes. Their monomer sourcing and synthetic pathways are by now fairly well explored, but the physical principles controlling their properties remain much less understood. This perspective challenges the notion that these materials follow the paradigm of conventional polyurethanes. Emphasis is placed on the hydroxyl group formed next to the urethane moiety, which distinguishes these materials from conventional polyurethanes and makes them more precisely poly(hydroxy urethanes). The available evidence indicates that this pendent hydroxyl is not a minor structural detail but a central actor affecting hydrogen bonding, microphase separation, and through them, many macroscopic physical properties of NIPUs, such as glass transition, mechanical response, water uptake and reprocessability. In addition, it enables thermally activated bond-exchange reactions, which dynamically change chain connectivity and, in networks, topology. As a result, concepts borrowed from conventional segmented polyurethanes cannot be transferred directly to non-isocyanate ones. Instead, a new, physics-oriented predictive framework is the necessary next step for the rational design of non-isocyanate polyurethanes. Such a framework should take bond-exchange reactions into account and connect molecular structure and thermal history with the macroscopic physical properties. Full article

While aspect-based sentiment analysis (ABSA) has made significant progress in the identification of explicit opinion targets, the more challenging case of implicit aspects remains insufficiently studied. Implicit aspect extraction is particularly challenging, as it relies on contextual and semantic cues and requires systems to infer what reviewers mean rather than what they state explicitly. A four-component hybrid pipeline is proposed for explicit and implicit aspect extraction, formulating the task as controlled text generation. The pipeline combines (i) a fine-tuned decoder-only large language model as a generative baseline, (ii) an iterative residual generation strategy that recovers multiple aspects through successive masked generation passes, (iii) paraphrase-based input transformation to broaden the contextual signal, and (iv) domain-specific knowledge graphs activated by linguistic signals to infer implicit aspects. The novelty lies not in the individual components themselves but in their principled orchestration and the linguistically motivated gating logic governing the activation of each stage. Extensive experiments are conducted on eight benchmark ABSA datasets spanning both English and Arabic: SemEval-2014, SemEval-2015, SemEval-2016, ACOS, and M-ABSA for English; and SemEval-2016, HAAD, and M-ABSA for Arabic. The proposed solution outperforms strong baseline methods and recent state-of-the-art models on English datasets, with $F_1$-scores of 0.8533, 0.713, 0.7859, 0.793, and 0.664, respectively. On Arabic datasets, the best-performing configurations achieve $F_1$-scores of 0.7632, 0.4765, and 0.7656 on SemEval-2016, HAAD, and M-ABSA, respectively, with the knowledge-graph component providing consistent and statistically significant gains for implicit aspect identification in both languages. These results demonstrate the effectiveness of generative modeling, iterative generation, paraphrasing, and structured knowledge for aspect extraction and highlight the potential of the proposed approach for implicit aspect identification, in particular for morphologically rich languages such as Arabic, where annotated resources remain scarce. Full article

The German physician Samuel Hahnemann (1755–1843) established the basic principles of homeopathy as a medical specialty 200 years ago. Nowadays homeopathy is generally categorized as a method of complementary medicine, because its principles seem difficult to relate to modern western biomedicine and due to a different philosophical background. One important aspect is that Hahnemann ascribed the mode of action of homeopathic remedies—highly diluted potentized preparations (HDPPs)—to a non-physical force, called geistartig (literally translated as spirit-like). However, the term geistartig is nowadays difficult to understand and to translate, and it is open to misunderstanding. To build a bridge to today’s science, we aimed to clarify the meaning of geistartig. We therefore analyzed the complete body of Hahnemann’s publications and found that Hahnemann provided a consistent conceptualization of geistartig. The term geistartig encompasses the dynamic (force-like) effects of HDPPs and includes substance-specific gestalt-organizing effects, which differ from the known physical forces. A detailed analysis reveals that the hypothesis of such non-physical gestalt-organizing forces agrees with the concepts of modern biology and can also be tested empirically. We thus conclude that Hahnemann’s concept of the active principle of HDPPs can be related to contemporary research. Full article

The present article employs a mixed methodology to evaluate IkasLab’s innovative spaces, investigating how the reorganisation of educational spaces contributes to the development of 21st-century skills in the Basque educational context. The sample comprised 13 primary schools (ages 6–12), where quantitative data were collected using a validated instrument (rubric) (n = 13 spaces) and qualitative data through semi-structured interviews (n = 22 teachers). Reliability analyses (Alpha = 0.909; Omega = 0.907) confirmed the robustness of the assessment instrument. The quantitative findings indicated a high level of project implementation (x̅ = 3.26/4), with particular emphasis on the development of communication and relational skills. However, the indicators associated with metacognitive work showed less consolidation. Qualitative analysis yielded significant findings pertaining to student autonomy, methodological innovation, and educational inclusivity. Notable gaps were also identified in the integration of metacognitive practices and urgent needs for systematic teacher training and continuous pedagogical support. The results suggest that IkasLab constitutes a solid and promising framework for reimagining learning spaces and promoting educational practices in line with contemporary challenges. However, the full impact of the model depends on ensuring sufficient resources and strengthening professional training that enables teachers to effectively integrate the principles of the model into their teaching activities. Full article

Background and Objectives: Low participation rates in exercise programs among older adults highlight the need for theory-driven, biopsychosocial interventions that enhance adherence, self-efficacy, and functional outcomes. Grounded in principles of motor learning and behavioral reinforcement within physiotherapy practice, this study aimed to examine the effect of periodic assessments combined with verbal feedback on functional and psychological outcomes in community-dwelling older adults. Methods: A pilot RCT was conducted involving 54 individuals aged ≥65 years (53 women and 1 man), recruited from senior community centers. Participants were randomly allocated to an intervention group (periodic assessment and verbal feedback; n = 27) or a control group (n = 27). Both groups participated in an identical 12-week structured exercise program, delivered twice weekly, focusing on balance, gait, and lower-limb functional training. An intention-to-treat approach was applied. Data were analyzed using Linear Mixed Models, with statistical significance set at p < 0.05. Results: Significant group × time interactions were observed in favor of the intervention group for key kinesiology-related functional outcomes, including the Short Physical Performance Battery (SPPB; p < 0.001), Timed Up and Go test (TUG; p = 0.011), and Activities-specific Balance Confidence Scale (ABC; p < 0.001). No statistically significant differences were identified between groups for the Behavioral Regulation in Exercise Questionnaire–2 (BREQ-2; p = 0.164) and the Self-Efficacy for Exercise Scale (ESE; p = 0.108), indicating that the primary psychological outcome (ESE) was not confirmed. However, both ESE and BREQ-2 demonstrated significant baseline differences favoring the intervention group, and, therefore, these findings should be interpreted with caution despite statistical adjustment. Conclusions: Periodic assessments followed by verbal feedback appear to selectively improve the functional effectiveness of structured exercise programs in older women, particularly physical performance, functional mobility, and balance confidence, with no significant differential effect on the primary psychological outcome (ESE; group × time interaction: p = 0.108). These findings support assessment-informed and feedback-driven physiotherapy strategies as a promising adjunct to exercise programs in older adults, with potential implications for optimizing functional outcomes within applied kinesiology and rehabilitation contexts. Full article

Fault-injection campaigns are widely used to evaluate silent data corruption (SDC) in AI hardware, but exhaustive campaigns over workloads, dataflows, processing elements, and datapath roles are expensive. This paper presents an architecture-level risk-guided fault-injection prioritization method for systolic AI accelerators. The method ranks candidate transient functional perturbations before downstream validation, with the goal of enriching the discovery of candidates that produce a thresholded relative-output-error outcome under a limited validation budget. The evaluation uses a fixed candidate fault pool: all ranking policies score the same 21,000 candidate faults across 30 workload/dataflow/array configurations, corresponding to five GEMM-derived workloads, three array sizes, and two dataflows. Fault magnitudes are sampled once per candidate and are independent of all ranking scores. Candidate faults are modeled as transient architecture-level perturbations in MAC, accumulator, or forwarding paths. The proposed full-risk score combines activity, composite spatial stress, tensor sensitivity, and a path-class weight. In the proposed architecture-level simulation environment and under the fixed-pool protocol, the proposed method achieves the highest mean top-10% SDC-proxy lift, AUPRC, NDCG@10%, and rank correlation with relative output error among the evaluated principle-based ranking policies. At the calibrated threshold, it achieves a mean top-10% lift of 5.65× [4.91, 6.38], compared with 4.61× for AVF-like exposure and 4.33× for output sensitivity. Paired configuration-level tests, threshold sensitivity, and outcome-model sensitivity analyses characterize the result while showing that the proposed score is not universally dominant under every synthetic outcome assumption. The method is intended as a front-end architecture-level screening tool for validation prioritization, not as a replacement for RTL, gate-level, FPGA, or silicon reliability signoff. Full article

TERT, the catalytic subunit of telomerase, is aberrantly activated in most cancers and represents an attractive therapeutic target. However, conventional TERT-targeting strategies, including chemical inhibitors and siRNA, are limited by several issues, such as insufficient efficacy and off-target effects. In this study, we investigated whether dCas9-KRAB-mediated CRISPR interference (CRISPRi) could overcome the limitations by transcriptional repression of TERT without DNA cleavage. We first assessed the efficacy of the dCas9-KRAB system by applying it to H1299 non-small-cell lung cancer cells and observed reduction in TERT expression up to approximately 80% and significant decreases in cell viability and growth. Transcriptome-wide analysis showed limited detectable changes in non-target-gene expression under the conditions tested. Together, the results suggest that dCas9-KRAB-mediated CRISPRi could serve as a proof-of-principle approach for targeted repression of TERT in cancer cells with limited detectable effects on non-target-gene expression. Full article

The work is a continuation of studies , focused on the development of fundamental principles of aluminum activation by low-melting metals forming eutectic alloys with fine-grained structure and limited solid solubility. The aim of this work is to investigate the mechanism and kinetics of the interaction of aluminum-based eutectic alloys with water and aqueous electrolytes. Analysis of phase diagrams of binary systems (Al–Ga, Al–In, In–Ga, Al–Sn, Sn–Ga, Al–Zn, Zn–Ga) shows that alloy composition governs surface heterogeneity and reactivity. Ternary and quaternary systems (Al–In–Ga, Al–Sn–Ga, Al–In–Sn–Ga) exhibit enhanced interaction with water due to increased heterogeneity, leading to the formation of numerous microgalvanic couples and accelerated aluminum dissolution. The process is characterized by the stationary potential of aluminum and involves coupled chemical, electrochemical, and topochemical stages described by the Avrami–Erofeev equation, with n ≈ 1.27–2.07. An increase in the In–Ga or In–Sn–Ga fraction reduces the activation energy: 9.1 kcal/mol (82% Al–9% Ga–9% Sn), 11.4 kcal/mol (92% Al–4% Ga–4% In), and 15.5 kcal/mol (91% Al–3% Ga–3% In–3% Sn). Full article

Photobiomodulation (PBM) is a non-invasive therapeutic strategy that uses red and near-infrared (NIR) light in the 590–950 nm range to modulate the cellular and molecular pathways involved in retinal homeostasis. At the molecular level, PBM acts primarily through photon absorption by cytochrome c oxidase (CcO, complex IV of the mitochondrial electron transport chain), whose four metal centres—two copper (CuA and CuB) and two heme groups (heme a and heme a₃)—absorb light across approximately 600–1000 nm. Photon capture promotes photodissociation of inhibitory nitric oxide (NO) from the binuclear CuB–heme a₃ centre, accelerates electron transfer, restores the proton-motive force and increases ATP synthesis. These primary events trigger a coordinated molecular programme that includes (i) transient mitochondrial reactive oxygen species (ROS) bursts that activate the Nrf2/Keap1/ARE axis and upregulate phase II antioxidant enzymes (HO-1, NQO1, GCLC, SOD2, catalase, GPx); (ii) calcium- and cAMP-dependent secondary signalling that converges on PI3K/Akt, MAPK/ERK, AMPK and mTOR pathways; (iii) suppression of NF-κB-driven cytokine production (TNF-α, IL-1β, IL-6) and of NLRP3 inflammasome activation; (iv) downregulation of the HIF-1α/VEGF axis, particularly at 590 nm; (v) anti-apoptotic remodelling of the Bcl-2/Bax ratio with reduced cytochrome c release and caspase-3/9 activation; and (vi) PGC-1α/TFAM/NRF1-driven mitochondrial biogenesis, alongside restoration of fission/fusion homeostasis (Drp1, Mfn1/2, Opa1) and PINK1/Parkin-mediated mitophagy. Wavelength specificity has a defined molecular basis: 590 nm modulates VEGF signalling and RPE pump activity, 660 nm interacts with the CuB centre and enhances O₂ binding at CcO, and 850 nm is absorbed by CuA and supports electron entry into complex IV. A second molecular axis is the bidirectional crosstalk between PBM and the circadian system: mitochondrial respiration, ATP turnover and CcO activity oscillate over the 24 h cycle under the control of the BMAL1/CLOCK and PER/CRY core machinery, the NAD⁺/SIRT1–SIRT3 axis and REV-ERBα. Preliminary preclinical and human observations suggest that NIR-induced bioenergetic and functional gains may be coupled to this rhythm, with greater benefit reported when light is delivered in the morning window (≈08:00–11:00); this time dependence should be regarded as an emerging hypothesis rather than an established clinical principle. The clinical evidence is unevenly developed across indications. It is most robust for non-exudative age-related macular degeneration, where multiwavelength PBM (590/660/850 nm; Valeda Light Delivery System) has shown disease-modifying potential in randomized controlled trials (LIGHTSITE I–III and the LIGHTSITE IIIB extension), with sustained BCVA gains and reduced incidence of geographic atrophy over 24 months and beyond. Evidence for retinitis pigmentosa, central serous chorioretinopathy and, with red-light monotherapy, childhood myopia is at present limited to small or short-term studies and remains preliminary. This narrative review synthesizes the molecular machinery engaged by PBM, integrates clinical findings across retinal diseases and discusses how chronotherapeutic delivery of light, aligned with the molecular clock, may further optimize therapeutic efficacy. Full article

Gold nanoparticles (AuNPs) have emerged as versatile antiviral nanoplatforms because their size, morphology, plasmonic properties, and surface chemistry can be precisely engineered. In this review, we summarize the core design principles of antiviral AuNPs from a structure–function–mechanism perspective. We first outline representative synthetic and interface-programming routes for AuNP preparation, including citrate reduction, Brust–Schiffrin synthesis, seed-mediated growth, green synthesis, direct thiol-conjugation, and mixed-ligand shell strategies, emphasizing how these approaches define particle size, morphology, surface accessibility, interfacial composition, and downstream biofunctionalization potential. We then discuss major surface engineering strategies, including polyethylene glycol, nucleic acids, antibodies and nanobodies, peptides, glycans, antiviral drugs, and biomimetic coatings, with particular attention to how ligand density, orientation, flexibility, and interfacial stability determine biological performance. Next, we examine how functionalized AuNPs inhibit different stages of the viral life cycle, including viral attachment and entry, intracellular replication, assembly and egress, photothermal inactivation, and immune modulation or vaccine delivery. Finally, we highlight current challenges, including incomplete structure–activity relationships, dynamic nano–bio interactions under physiological conditions, limited standardization across studies, and translational barriers related to safety, reproducibility, and scale-up. This review provides a conceptual framework for the rational development of next-generation AuNP-based antiviral nanotherapeutics. Full article

Background: This randomized controlled trial aimed to evaluate the effects of a school physician-led counseling intervention on total cholesterol (TC) levels, adherence to the Mediterranean diet, physical activity, and sedentary behavior in children aged 6–7 years with elevated cholesterol levels in a Mediterranean setting. Methods: A one-year randomized controlled study was conducted among children aged 6–7 years with elevated TC levels, excluding those with familial hypercholesterolemia (FH). Participants were randomly assigned to either a control group (n = 38) or an intervention group (n = 39). All participants received standard care consisting of educational materials and baseline counseling, while the intervention group additionally participated in three structured follow-up counseling sessions conducted by school physicians during the one-year study period. Counseling focused on Mediterranean dietary habits, implementation of basic dietary principles in cases of elevated TC levels, promotion of physical activity, and reduction in sedentary behavior. TC levels were measured at baseline and at the end of the study. Dietary habits, physical activity, and sedentary behavior were assessed using validated questionnaires. For the primary outcome, a descriptive change-from-baseline analysis, unadjusted mean difference, the approximate 95% confidence interval, and Cohen’s d effect size were calculated. Results: At baseline, no significant differences in TC levels were observed between groups (p = 0.852). After the intervention, mean TC levels were lower in the intervention group than in the control group (4.977 ± 0.414 mmol/L vs. 5.137 ± 0.410 mmol/L); however, the between-group difference did not reach statistical significance (p = 0.089). The unadjusted mean difference at follow-up was −0.160 mmol/L, with an approximate 95% confidence interval from −0.35 to 0.03 and a small-to-moderate effect size in favor of the intervention group (Cohen’s d = −0.39). Descriptive change-from-baseline analysis showed a greater mean reduction in TC in the intervention group than in the control group (−0.364 mmol/L vs. −0.195 mmol/L). A statistically significant improvement in adherence to the Mediterranean diet was observed in the intervention group compared with the control group (p < 0.001). Favorable changes were also observed in several physical activity and sedentary behavior variables, including participation in organized physical activity, walking and running activities, and reduced television viewing and video gaming time. Given the exploratory nature of behavioral analyses and the number of physical activity and sedentary behavior outcomes examined, these findings should be interpreted cautiously. Conclusions: The school physician-led counseling intervention did not result in a statistically significant between-group difference in TC levels after one year, although the direction and magnitude of change favored the intervention group. The intervention was associated with improved adherence to the Mediterranean diet and favorable exploratory lifestyle-related behavioral changes. Nevertheless, the findings should be interpreted cautiously in light of the relatively small sample size, non-significant primary outcome, and exploratory nature of behavioral analyses. Full article

CRISPR-Cas9 has transformed microbial biotechnology by enabling precise genome modifications; however, achieving high editing efficiency remains a challenge due to multiple determinants, including on-target specificity, off-target events, PAM sequence, sgRNA scaffold composition, and RNA secondary structure. Our review foresees how artificial intelligence (AI) can address those challenges by enabling automated identification as well as highly active guide RNA (gRNA) optimisation. We highlight the influence of a data-driven training strategy that is focused on high-quality, diverse, and accurately labelled microbial datasets—mainly, given the limitations of models derived from mammalian systems that are not directly transferable to microbial organisms. Moreover, we discuss the key role of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and centralised, curated CRISPR-Cas databases as foundational elements for developing robust and predictive frameworks. Emerging directions are also explored, including generative AI approaches capable of supporting automated experimental planning. By considering the potential dual use of such technologies, the review further addresses bioethical considerations and regulatory frameworks necessary to ensure responsible genome engineering as a milestone, as well as the implementation of safeguards against misuse, particularly in pathogenic microorganisms. Furthermore, the convergence of standardised experimental data, specialised microbial datasets, and advanced AI architectures is paving the way to transform microbial biotechnology by accelerating metabolic engineering and synthetic biology applications. Full article

The escalating security risks associated with unauthorized unmanned aerial vehicles (UAVs) in advancing smart cities necessitate the development of robust active countermeasures. This work presents a novel approach centered on a UAV-borne flexible net system and provides a rigorous investigation into its complex nonlinear dynamics. This study establishes a lumped-mass, semi-spring–damper dynamic model of the flexible capture net, characterizing its key dynamic properties, including deployment performance, aerodynamic attitude, and the high-impact phenomena of collision and entanglement with the target UAV. To verify the reliability of the proposed method, numerical simulations are combined with field tests for systematic validation. Comparative analysis reveals excellent quantitative agreement, with over 80% conformity in the net’s spatial configuration between simulated and experimental results. This paper illuminates the fundamental principles governing energy dissipation and transient tension dynamics pre- and post-capture. This study provides preliminary evidence for the feasibility of the proposed method and identifies key directions for future investigation. The findings offer guidance for the design and optimization of future systems intended to neutralize low, slow, and small (LSS) aerial threats. Full article

Two-dimensional (2D) materials have emerged as a key platform for next-generation electronics due to their atomic thickness and tunable properties. Iron disulfide (FeS₂), known as pyrite, with a bandgap of ~0.95 eV, is suitable for solar energy applications. However, its performance is limited by defects in bulk crystals. Reducing FeS₂ to a single layer eliminates bulk defects and enables strain engineering of the bandgap. In this study, First-principles density functional theory (DFT) calculations are performed using the CASTEP code and the PBEsol functional to examine the structural, electronic, and optical properties of a distorted 1T′-phase FeS₂ monolayer. Full geometry optimization yields lattice parameters a′ = 17.594 Å, b′ = 3.20231 Å, c′ = 5.28091 Å, and Fe–S bond angles of ~75.8° and ~98.2°, confirming symmetry-breaking distortion. The monolayer is dynamically stable, showing no imaginary modes in the phonon dispersion, and remains structurally intact up to 1000 K in molecular dynamics simulations. The unstrained system has an indirect bandgap of 0.70 eV, with the valence band maximum at the Γ point (dominated by S-p states) and conduction band minimum near the X point (Fe-d states). Under mechanical strain (±4%), the bandgap decreases significantly: from 0.70 eV to 0.44 eV under +4% tensile strain along the y-axis, and to 0.53 eV under −4% compressive strain. Biaxial strain causes weaker modulation, reducing the gap to 0.66 eV (+4%) and 0.62 eV (−4%). Optical absorption exceeds 10⁴ cm⁻¹ for photon energies above the bandgap, with tensile strain causing redshifts and compressive strain inducing blueshifts. These findings demonstrate that 2D FeS₂ is mechanically robust, electronically tunable, and optically active, making it a promising candidate material for flexible strain sensors and photovoltaic devices. This work is intended to motivate and inform future synthesis efforts. Full article

The research explores the application of the General Data Protection Regulation (GDPR) within the context of Greek public administration to see whether its legislative transposition has had real impacts on enhancing good governance, accountability, and the protection of data subjects’ rights. Following a doctrinal and comparative approach to law, based on principles of public and administrative law, it analyses the rules governing data protection both at the EU level, as well as the corresponding national implementing legislation (Law 4624/2019), and the practices of supervision authorities, focusing especially on the procedural aspect of GDPR transposition, supported by an empirical examination of selected decisions of the Hellenic Data Protection Authority (HDPA) (2025–2026). Within such a framework, compliance with GDPR becomes one of the main aspects of the European administrative governance system, being associated not with mere legislative requirements, but also with other important elements, such as transparency, proportionality, institutional trust, and efficiency of public services. Greece provides a relevant context for examining the implementation of the GDPR through the high standards of HDPA within public administration. The findings indicate that GDPR compliance in public administration is primarily a matter of governance rather than merely legal alignment. The comparative analysis with recent European Data Protection Board (EDPB) opinions and coordinated supervisory activities further demonstrates that the governance challenges identified in Greece are broadly consistent with those observed across the European Union. The findings suggest that the Greek supervisory framework operates within the wider European system of GDPR governance and exhibits a level of institutional maturity and regulatory alignment comparable to contemporary European supervisory practice. Full article