Browse Articles
Discover research articles across all indexed journals
High-Fidelity Transfer of Chiral Sulfonimidoyl Radicals
Quantifying agricultural resilience under climate variability: a data-driven climate resilience index for European cereal systems
Enzyme-Free Phosphorylation with Kinetic Gating in a De Novo Coiled-Coil System
Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns
Abstract Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we performed a data‑driven analysis of 916,824 AI-related life-science papers harvested from OpenAlex and PubMed. We tagged each publication with Medical Subject Headings (MeSH) and compared topic frequencies between articles linked to at least one Greek institution and the rest of the world. Greek‑affiliated outputs are disproportionately concentrated under the theme of methodology and algorithm‑development, whereas the global corpus is dominated by disease‑focused, organism‑centered and clinical applications. Statistical contrasts across three MeSH hierarchy levels exposed clear national strengths in machine learning techniques and analytical tools, alongside under‑representation in translational, patient‑centred research. Overall this study combines bibliometric evidence with community perspectives and provides a comprehensive overview of AI activity in Life Sciences in Greece, highlighting potential thematic strengths and gaps.
Solid-Phase Synthesis of ProTide Fluorogenic Probes Enables Systematic Profiling of Carboxypeptidase Activity
Retinal microvascular alterations consistent with endothelial dysregulation in paediatric post-COVID-19 syndrome: A prospective matched-cohort study
Abstract Persistent symptoms following SARS-CoV-2 infection in children remain poorly understood, and objective biological correlates are scarce. The vascular endothelium is considered a central target of post-viral dysregulation, yet paediatric evidence for microvascular involvement is limited. Retinal imaging enables non-invasive assessment of microvascular structure and function and may help to clarify whether endothelial dysregulation is present in children with post-COVID-19 syndrome (PCS). Retinal vessel diameters and flicker-induced vasoreactivity were assessed at baseline and after a median of 14 weeks. Compared with matched healthy controls, multivariable analyses showed that PCS independently predicted wider central retinal arteriolar equivalent (CRAE + 28.1 μm, 95% CI 21.7–34.5, p < 0.001) and central retinal venular equivalent (CRVE + 21.7 μm, 95% CI 15.8–27.7, p < 0.001), with a higher arteriolar-to-venular ratio (AVR + 0.038 units, 95% CI 0.012–0.064, p = 0.005). These findings suggest a distinct microvascular pattern in children with PCS that is consistent with endothelial dysregulation months after infection. While no significant group-level changes were observed at follow-up, children with particularly large venular diameters and reduced flicker responses showed the greatest improvement. Longer follow-up intervals predicted decreasing venular diameter, and reductions in symptom burden correlated with increasing AVR over time. Together, these results indicate heterogeneous, time-dependent changes in microvascular parameters. Retinal vessel analysis may provide a useful, non-invasive approach to characterising vascular involvement in paediatric PCS and improving understanding of post-viral sequelae.
Author Correction: Hospital information system based psychological nursing improves maternal and neonatal outcomes in cesarean section patients
Correction to “Catalytic Stereospecific Construction of Aminocyclopropanes from β-Boryl Amides”
Effects of environmental enrichment on lymph node mitochondrial-redox status and immune response in adult male C57BL/6 mice
Abstract Environmental enrichment (EE), an experimental paradigm promoting cognitive, sensory, social, and motor stimulation, has been associated with neuroprotective effects. Although EE modulates immune function, its influence on the basal redox and metabolic environment of lymph nodes remains unclear. This study investigated whether EE induces physiological immunometabolic and redox adaptations in lymph nodes under non-pathological conditions. Adult male C57BL/6 mice were housed for six weeks in either a standard environment (SE) or EE, followed by evaluation of mitochondrial markers, redox balance, antioxidant defenses in axillary lymph nodes, and systemic basal cytokine profiles. EE did not modify citrate synthase activity, indicating preserved mitochondrial content. Both NAD + and NADH levels increased significantly, while the NAD + /NADH ratio remained unchanged. EE reduced lipid peroxidation without affecting protein oxidation and selectively increased catalase activity, whereas superoxide dismutase and glutathione S-transferase activities were unchanged. Non-enzymatic antioxidant defenses were enhanced, with increased reduced glutathione (GSH), and an elevated GSH/GSSG ratio, despite reduced total sulfhydryl levels. EE did not alter most circulating cytokines but selectively reduced interferon-γ (IFN-γ) levels. Overall, EE promoted a redox-optimized and metabolically resilient lymph node environment, characterized by enhanced antioxidant buffering capacity, without inducing broad immune activation or suppression.
Electronic Structures of Pt(0) Complexes and Atomically Precise Clusters from Solid-State <sup>195</sup> Pt NMR Signatures
Small extracellular vesicles promote cell survival and neuritogenesis in vitro in a manner dependent on dosage and cell of origin
Abstract Mesenchymal Stem Cells (MSC) possess a diverse secretome with well-established neuroprotective effects. Form among the materiel released by these cells, extracellular vesicles (EVs) have gained particular interest lately, owing to their good safety profile, stability, and relative ease of use as a cell-free therapy. These lipid-enclosed nano-carriers can significantly alter the survival of recipient cells through the delivery of a wide variety of signalling molecules, the exact composition of which is highly dependent on the type, age, and environment of the donor cells. Glaucoma is a chronic progressive optic neuropathy characterised by the loss of Retinal Ganglion Cells whose axons make up the optic nerve. Preservation of these neurons via the administration of the right EVs represents a promising approach for slowing disease progression, thereby preventing vision loss. Here, we evaluate and compare the protective and neuritogenic potential of small extracellular vesicles (sEVs), a subset of EVs with a diameter smaller than 220 nm, from six different cell types using a rodent in vitro model of RGC degeneration. Our findings showed that Adipose Mesenchymal Stem Cells release the most potent sEVs, with Bone Marrow being a close second. EVs released by cells of the Umbilical Cord, Dental Pulp, Dermal Fibroblasts, and an Oral Mucosal Lamina Propria-Progenitor cells did not have an observable benefit. Thus, our study provides greater insight into how the efficacy of different EVs compares to each other.
Transient Triamidoamine Neptunium(V)–Mono(Imido) Complexes: C–H Activations and Hydrogen Atom Transfer Driven by Effective Nuclear Charge
Evaluating eye-tracking as a method for deception detection against the polygraph as deployed in practice
Abstract Can credibility assessment be based on methods more reliable than those currently used? Traditional polygraph examinations, although widely employed, have well-documented limitations, motivating the search for alternative, noninvasive approaches. In this study, we developed an eye-tracking-based method to detect concealed memory traces by analyzing patterns of eye movements during a Concealed Information Test. Unlike previous research that examined eye movements in isolation, we directly compared the performance of the eye-tracking method with polygraph measurements within the same participants and under identical experimental conditions. Key features extracted from eye movements were used in a machine learning classifier to distinguish between deceptive and truthful responses. The results show that our eye-tracking-based test can effectively discriminate between deceptive and truthful individuals, achieving an accuracy of 94.9%. In comparison, polygraph examinations accurately classified 88.2% of participants under the same conditions, though five recordings had to be excluded because the polygraph expert could not reach a definitive conclusion. Finally, this study also considers the advantages and limitations of the two approaches, as well as ethical concerns related to measuring involuntary responses and using “black box” scoring algorithms.