Abstract: We address the paradoxical transformation of a classical-mechanical particle motion when the space and time scales of observation pass down the uncertainty principle threshold. This is analyzed in the language of classical statistical mechanics, considering specifically many-particle systems inhomogeneous along one spatial direction. We employ the density functional formalism in its square-gradient form and find: i) The macroscopic solution is analogous to the classical trajectory of a particle under a potential of force given by (minus) the free energy density. Whereas, ii) fluctuations around the solution in (i) are equal to the quantum-mechanical wave functions of a particle under a potential given by the curvature of the free energy density. We illustrate this situation with three textbook examples: A particle in a box, the harmonic oscillator, and the hydrogen atom. We show that their time-independent Schrödinger equation wave functions describe, respectively, the fluctuations of a fluid interface, of critical point fluctuations, and of a confined ideal gas. At large scales sharp probability distributions make fluctuations irrelevant, the vanishing of the first variation yields the macroscopically observable statistical-mechanical non-uniformity, equivalent to the classical particle trajectory. But at sufficiently small scales, with necessarily very few particles, distributions appear much wider, fluctuations dominate, and one obtains the Schrödinger equation (for the microscopic potential).

Abstract: Background: COVID-19 manifested with a wide range of clinical symptoms, including asymptomatic or mild illness and life-threatening respiratory failure. We hypothesized that elevated predictors during intensive care unit (ICU) stays would independently predict mortality and the subsequent development of post-COVID-19 condition (PCC). Methods: In this retrospective cohort study, we evaluated the clinical and laboratory determinants of mortality using hospital records in severe COVID-19 patients in conjunction with their PCC in survivors by self-reported survey. This research was conducted at XX University Hospital, and adult patients with laboratory-confirmed SARS-CoV-2 infection by RT-PCR assay who required ICU admission for respiratory failure or hemodynamic instability were included. Biomarkers were monitored throughout ICU stay to evaluate dynamic changes and their association with mortality. Survivors were followed from ICU discharge to assess readmissions, vaccination status, and post-COVID-19 condition, including fatigue, sleep disturbance, physical exhaustion, concentration problems, and memory impairment. Post-ICU mortality and hospitalization due to cardiovascular, respiratory, neurological, or other complications were recorded. Results: A total of 273 critically ill patients were included, of whom 112 survived and 161 died during ICU stay. Non-survivors were older and had lower mean arterial pressure. Intubation was more frequent among non-survivors, and APACHE II scores were significantly higher in this group. Hospitalizations due to cardiovascular, respiratory, and neurological complications were particularly associated with increased hazard of death (HRs ≥2, p-values < 0.05). Patients who died after ICU discharge (31.5%) had higher rates of fatigue, physical exhaustion, and memory impairment, suggesting a strong correlation between biomarker derangements during ICU stay and PCC. Conclusions: The present study was specifically designed to address this critical gap by evaluating whether biomarker trajectories during ICU follow-up not only predict in-hospital mortality but also serve as early determinants of Post-COVID status in survivors.

Abstract: The increasing accumulation of nano-/microplastics (NMPs) in agricultural soils has become an emerging environmental concern, posing risks to soil health, crop productivity, and food safety. Due to their persistence and small size, NMPs can disrupt soil structure, alter microbial communities, and facilitate the transport and uptake of contaminants by plants. In this context, biochar has attracted significant attention as a climate-smart soil amendment capable of improving soil quality while mitigating emerging pollutants. This review explores the potential role of biochar, including modified biochar, as a sustainable strategy for enhancing soil health and reducing the risks associated with NMPs contamination in agricultural systems. The unique physicochemical properties of biochar—such as its high surface area, porous structure, and abundant functional groups—enable interactions with plastic particles and associated contaminants through adsorption, aggregation, and immobilization processes. These interactions can reduce mobility, bioavailability, and plant uptake of NMPs in soil. In addition, biochar contributes to soil fertility improvement by enhancing nutrient retention, increasing water holding capacity, improving soil structure, and stimulating beneficial microbial activity. Biochar application also plays an important role in climate change mitigation by stabilizing carbon in soils and reducing greenhouse gas emissions from agricultural systems. Although biochar is considered a promising material for sustainability, some types of biochar may have adverse effects in saline–alkaline soils due to their high pH and salinity, particularly when produced at high pyrolysis temperatures. Overall, integrating biochar or modified biochar into sustainable agricultural practices offers multiple co-benefits, including soil restoration, pollutant mitigation, improved soil health, and enhanced climate resilience. This review synthesizes recent advances in understanding the mechanisms by which biochar influences NMPs behavior in soil–plant systems and highlights current knowledge gaps and future research directions needed to support its effective application in sustainable agriculture.

Abstract: Background/Objectives: The present study aimed to examine the relationship between Dark Triad personality traits (narcissism, psychopathy, and machiavellianism) and conspiratorial thinking. Additionally, it sought to investigate whether perceived social support acts as a mediator in this relationship, potentially serving as a protective factor against the adoption of conspiracy beliefs. Methods: The sample consisted of 620 participants (N = 620), including 523 women and 97 men, aged 18 to 69 (M = 35.74; SD = 11.36). Data were collected through an online survey using the Generic Conspiracist Beliefs Scale (GCBS), the Dirty Dozen Scale, and the Multidimensional Scale of Perceived Social Support (MSPSS). Results: Statistical analyses using Pearson’s correlation coefficient did not indicate a statistically significant co-occurrence between conspiratorial thinking and Dark Triad personality traits. Furthermore, the mediation models did not show significant values for mediating effects, suggesting that perceived social support—including its dimensions of support from a significant person, family, and friends—did not alter the relationship between personality traits and conspiracy thinking in this sample. Conclusions: The findings contradict several earlier reports, contributing to the ongoing debate regarding the dispositional roots of conspiracy beliefs. The results suggest that conspiratorial ideation may not be rooted in stable aversive personality traits, but instead may be driven by specific neurocognitive processes such as uncertainty processing and threat reactivity, aligning with current brain-based models of belief evaluation. Future research should integrate neuroscientific perspectives with social psychology to develop more comprehensive models of conspiratorial ideation.

Abstract: For the first time, a race survey of Puccinia graminis f. sp. tritici (Pgt) population was conducted on Triticum durum in the Altai region of Western Siberia, Russia. A total of 34 single pustule isolates with different virulence phenotypes were identified on durum wheat (Triticum durum) in 2025 and compared with Pgt from bread wheat (Triticum aestivum). The UPGMA-based clustering separated Pgt isolates into two distinct groups, suggesting the host-driven differentiation that was further proven using tools of population genetics. The pathogen isolates from durum showed a wider range of virulence complexity, higher variability, and greater average singularity. Virulence frequencies of Pgt on T. durum and T. aestivum differed markedly for Sr6, Sr7b, Sr9e, Sr17+13 and several other genes, while Sr24 and Sr31 remained effective independently of the pathogen origin. Two races, PKCSF and NFMSF, were detected on both the hosts, indicating a shared pathogen gene pool between bread and durum wheat. Even assuming host-specific divergence of Pgt in the Altai region, there is a need in deployment of the same resistance genes into both T. aestivum and T. durum cultivars to prevent an outbreak of stem rust in an event of favorable conditions for inoculum exchange between crops.

Abstract: Shannon entropy and Kolmogorov complexity describe complementary facets of information. We revisit Q2 from 27 Open Problems in Kolmogorov Complexity: whether all linear information inequalities including non‑Shannon‑type ones admit $\mathcal{O}(1)$-precision analogues for prefix‑free Kolmogorov complexity. We answer in the affirmative via two independent arguments. First, a contradiction proof leverages the uncomputability of $K$ to show that genuine algorithmic dependencies underlying non‑Shannon‑type constraints cannot incur length‑dependent overheads. Second, a coding‑theoretic construction treats the copy lemma as a bounded‑overhead coding mechanism and couples prefix‑free coding (Kraft's inequality) with typicality (Shannon-McMillan-Breiman) to establish $\mathcal{O}(1)$ precision; we illustrate the method on the Zhang-Yeung (ZY98) inequality and extend to all known non‑Shannon‑type inequalities derived through a finite number of copy operations. These results clarify the structural bridge between Shannon‑type linear inequalities and their Kolmogorov counterparts, and formalize artificial independence as the algorithmic analogue of copying in entropy proofs. Collectively, they indicate that the apparent discrepancy between statistical and algorithmic information manifests only as constant‑order effects under prefix complexity, thereby resolving a fundamental question about the relationship between statistical and algorithmic information structure.

Abstract: We give a constructive high-dimensional escape sequence for the equation (∆ − x ·∇)u = u associated with the symmetric Ornstein–Uhlenbeck operator in Gaussian space. Let (a_i)_i≥1 be a positive square summable sequence and let B_n = {x ∈ Rⁿ : ∑ⁿ_i=1 a_i² x_i² < 1}. We construct functions u_n that are continuous on Rⁿ, smooth on both sides of ∂B_n, solve the positive spectral equation away from ∂B_n, and have finite Gaussian H¹ energy. The construction uses a single real harmonic polynomial, Re(x1 +ix2)^m_n with m_n = ⌊n^1/8⌋, multiplied by the finite-energy Tricomi branch of the separated radial Ornstein–Uhlenbeck equation and then extended into B_n by the weighted Dirichlet principle. The exterior energy has a lower bound of order (2π)^n/2n^−1/2(2m_n/e)^m_n, whereas the interior minimizing energy is bounded by (2π)^n/2n^CC_a^m_n. Hence the ratio of total Gaussian H¹ energy to the energy inside B_n tends to infinity. The proof is written with all non-standard notation defined explicitly, and two examples, including an ℓ¹-small sequence with ∑_i a_i < 1, are included as checks of the hypotheses.

Abstract: Antisense oligonucleotides (ASOs) are a class of nucleic acid therapeutics that modulate gene expression through diverse mechanisms. Since their initial demonstration in inhibiting viral genes, advances in medicinal chemistry, pharmacology, and delivery have enabled robust and durable target engagement across multiple tissues. Chemical modifications to the backbone, ribose, and nucleobases have improved nuclease resistance, binding affinity, and pharmacokinetics, while conjugation and delivery technologies have expanded tissue accessibility. Beyond classical RNase H–mediated RNA degradation, ASOs regulate gene expression via splicing modulation, microRNA inhibition, transcriptional activation, and translation modulation, supporting both gene silencing and upregulation strategies. Multiple ASO drugs are now approved, particularly for genetic diseases, with many more in clinical development. This review outlines the evolution of antisense technology, key chemical and delivery innovations, ASO pharmacokinetics and intracellular trafficking, the mechanisms underlying gene regulation, and current clinical applications and future opportunities.

Abstract: Periodontal disease (PD) affects a large proportion of adults and is increasingly associated with systemic inflammation and neurodegenerative risk. However, current therapies have limited efficacy in disrupting biofilms and modulating systemic responses. In this pilot study, we evaluated nanoparticles (NPs) of epigallocatechin-3-gallate-palmitate (EGCG-palmitate or EC16), a lipid-soluble derivative of epigallocatechin-3-gallate (EGCG), generated using Facilitated Self-Assembling Technology (FAST). FAST is a green nanotechnology that enables spontaneous formation of stable nanoparticles without surfactants or carrier materials. We hypothesized that EC16 NPs could inhibit periodontal pathogens and modulate neuroinflammatory responses. Antimicrobial activity was assessed in vitro, and potential therapeutic effects were evaluated in a ligature + pathogen-induced periodontitis mouse model. EC16 NPs inhibited the growth of Porphyromonas gingivalis. Oral administration of EC16 NPs (0.02% w/v) at a dose equivalent to 16-20 mg/kg significantly reduced Porphyromonas gingivalis abundance and decreased alveolar bone loss by approximately 50% compared with controls. Importantly, biodistribution analysis using Cy5-labeled EC16 NPs demonstrated detectable signals in mouse brain tissue following oral gavage, indicating EC16 NPs can cross the blood–brain barrier. In addition, EC16 NP treatment was associated with increased regulatory T cell (Treg) populations in cervical lymph nodes and reduced expression of inflammatory (IL-1β) and senescence-related markers (p16, p53) in brain tissue. This represents, to our knowledge, the first evidence that an orally administered EGCG derivative in nanoparticle form reaches the central nervous system and induces biological responses. These findings demonstrate that EC16 nanoparticles possess dual local and systemic activity and support further investigation of FAST-enabled nanoformulations as a novel therapeutic strategy for periodontal disease and inflammation-related brain conditions.

Abstract: Spiking neural networks (SNNs) are often called the third generation of neural models. They communicate with brief asynchronous pulses rather than continuous values, which suits event-driven sensors and low-power neuromorphic hardware. The mathematics behind them is split across neuroscience textbooks, machine learning papers, and stochastic process literature, and a researcher entering the area runs into a notation problem before anything else. The same neuron model is written one way in a textbook, another way in a machine learning paper, and a third way in the stochastic process literature. This tutorial collects what a graduate student or research engineer needs in order to start working with SNNs, in one place and with one notation. We start with the leaky integrate-and-fire (LIF) neuron, derived from a conductance-based picture of the membrane. Reset semantics, the spike response model, and the broader family that includes Hodgkin-Huxley and adaptive exponential models are discussed. Network equations are written out for feedforward and recurrent architectures. We cover the main neural coding schemes (rate, time-to-first-spike, rank-order, phase, burst, population) and discuss when each is appropriate. The neuromorphic datasets a beginner is likely to encounter, including N-MNIST, DVS-Gesture, CIFAR10-DVS, SHD, and SSC, are described together with the tensor formats event-based data takes. For learning, we derive pair-based spike-timing-dependent plasticity from exponential traces and develop the surrogate gradient framework, which has become the dominant tool for training deep SNNs by backpropagation through time. Reset semantics, the choice of surrogate function, and common pitfalls in BPTT are addressed in a way that maps onto code. Alternative training paradigms (e-prop, EventProp, SLAYER, three-factor rules, ANN-to-SNN conversion) are introduced briefly so the reader knows what else is available. A practical section walks through a first SNN training loop with framework-agnostic pseudocode and points to the main software libraries (snnTorch, SpikingJelly, Norse). Throughout the article, equations carry derivational status labels (exact, reduction, approximation, heuristic) so that the reader sees at a glance which steps are mathematical identities and which involve approximations. We do not cover hardware implementation, detailed point process theory, expressivity proofs, or open problems in SNN complexity; these belong in a more advanced treatment. The article is meant to be read linearly, and a suggested reading path closes it.

Abstract: Generative artificial intelligence (GenAI) is increasingly integrated into higher education, where it supports writing, feedback, problem solving, and research-related tasks while also raising concerns about cognitive offloading and learner dependence. This scoping review mapped the literature on the relationships among GenAI, cognitive offloading, and learner agency in higher education. Peer-reviewed English-language studies were reviewed to examine how learner agency has been conceptualized, how GenAI may both enhance and erode agency, which mechanisms link GenAI use to educational outcomes, and which pedagogical conditions shape these effects. The review shows that learner agency is conceptualized as a multidimensional construct involving self-regulation, reflective judgement, intentionality, and responsible action. Across the literature, GenAI operates through a dual-pathway structure: one pathway may enhance learner agency by strengthening self-regulated learning, self-efficacy, feedback literacy, and reflective engagement, whereas the other may erode learner agency through cognitive offloading, overreliance, dependence, uncritical uptake, and weakened judgement. Overall, the findings suggest that the educational value of GenAI depends less on the technology itself than on how it is pedagogically embedded, with augmentation-oriented and scaffolded use being more supportive of learner agency than replacement-oriented use.

Abstract: Purpose: To develop an accelerator neutron source suitable for boron neutron capture therapy – a new promising method for treating malignant tumors, and to develop dosimetry tools and methods. Methods: Research into the transport and acceleration of a beam of charged particles, development and manufacture of an accelerator neutron source, and study of the radiation generated. Results: A facility called VITA has been created, which includes a tandem electrostatic accelerator of an original design for producing a 2.3 MeV 10 mA proton beam, a lithium target for generating neutrons in the 7Li(p,n)7Be reaction, and a beam shaping assembly for forming a therapeutic neutron beam. Also, tools and methods for measuring the boron dose, -ray dose, and sum of the fast neutron dose and the nitrogen dose have been proposed and created. The conducted studies demonstrated the high efficiency of the VITA facility, the possibility of implementing the prompt -ray spectroscopy for boron imaging, the possibility of implementing lithium neutron capture therapy, which has advantages over BNCT, and also presented the results of the development of tools and methods for measuring the boron dose, -ray dose, and the sum of the fast neutron dose and the nitrogen dose. Conclusion: The authors strongly recommend using the prompt -ray spectroscopy in treatment, developing lithium neutron capture therapy, including in combination with BNCT, and note the high efficiency, reliability and compactness of the VITA facility.

Abstract: The article examines a crisis of academic integrity triggered by the emergence of a network of “predatory” (fake) websites mimicking the official Webometrics Ranking of World Universities (WUR). The author analyzes the origins of this phenomenon, linked to the temporary closure of the official portal and the migration of the Cybermetrics Lab’s data to new storage platforms. Three primary clone domains were identified that either falsify data or sell “position enhancement services” for a fee (up to €5,000 per month). The problem has escalated into an “information wildfire,” spreading across 29 countries. The highest number of cases involving the use of fraudulent data was recorded in Indonesia (50% of cases), Turkey, and Ukraine. The use of false rankings in official university reports and the media is classified as institutional fraud, misleading both prospective students and the state. It is emphasized that under new legislation (e.g., the 2026 Ukrainian Law “On Academic Integrity”), the publication of such data may lead to legal liability for university management. The author calls for the establishment of an international consortium of universities to support the official webometric audit and purge the digital space of fraudulent ranking systems, proposing a series of measures and a Comprehensive Program for Enhancing Integrity and Transparency in University Ranking Ecosystems.

Abstract: ME/CFS patients suffer from manifestations of disturbed connective tissue including ligament laxity, hypermobility, craniocervical instability, and orthostatic intolerance due to connective tissue weakness of large vessels, while muscular capillaries show basement membrane thickening. Mast cell overactivity may destabilize connective tissue through chymase and tryptase, activating collagen-degrading metalloproteinases, while cytokines enhance expression. Hypoxia and ROS-mediated inhibition of prolyl hydroxylases impairs crosslinking of newly formed collagen and reduces hypoxia-inducible factor (HIF)-1α degradation. Chronic HIF-1α elevation, in turn, can worsen connective tissue stability by unfavorably altering its composition as recently shown in tendinopathies. ME/CFS associated skeletal muscle dysfunction affecting neck muscles cannot compensate for ligament laxity to stabilize cervical spine but aggravates instability. In skeletal muscle capillaries, elevated HIF-1α may promote extracellular matrix overproduction and basement membrane thickening, impairing capillary perfusion and diffusion, and glycolytic metabolism. The sensitivity of HIF-2α to ROS-mediated degradation may impair angiogenic maturation; the imbalance between HIF-2 α and HIF-1α may permit sustained HIF-1α–driven extracellular matrix production and reduce capillary density. Overall, there seems to be a bidirectional relationship between connective tissue disorders and ME/CFS, whereby connective tissue disorders may predispose individuals to ME/CFS, and ME/CFS, in turn, may exacerbate the underlying connective tissue pathology.

Abstract: Intensive agricultural practices based on continuous monocropping and prolonged bare-soil fallows have contributed to soil degradation and loss of biological functioning. Replacing fallows with cover crops (CC) is a promising strategy to restore soil quality, yet their legacy effects on rhizosphere fungal communities remain poorly understood. This study evaluated the legacy effects of Urochloa (syn. Brachiaria) brizantha cover cropping on rhizosphere fungal communities, as well as soil physicochemical and biological properties, in a degraded common bean system. A field experiment with a randomized complete block design included: bare fallow (BM), one (B1) or two (B2) CC cycles before bean, a perennial pasture (PB), and a pristine soil reference (PS). High-throughput sequencing showed that Urochloa-based treatments significantly shifted fungal community composition compared to BM, increasing saprotrophic and beneficial taxa (e.g., Mortierella, Penicillium, Coprinellus) and reducing potential pathogens such as Fusarium. These changes were associated with higher soil organic carbon, aggregate stability, microbial biomass, and enzyme activities, especially in B2 and PB. Indicator taxa identified by LEfSe were linked to organic matter decomposition and nutrient cycling. Multivariate analyses revealed strong associations between fungal community structure and soil properties. Overall, U. brizantha cover cropping induced measurable legacy effects, promoting soil biological recovery even after short-term implementation.

Abstract: Background: Cardiovascular (CV) risk is increased in psoriatic arthritis (PsA), yet vascular assessment has largely focused on carotid arteries, potentially underestimat-ing systemic atherosclerosis. Objective: To characterize the distribution and concord-ance of atherosclerotic plaques across carotid, femoral, and aortic territories in PsA and evaluate their incremental value over SCORE2. Methods: In this cross-sectional study, 250 unselected patients with PsA underwent carotid and femoral ultrasound and ab-dominal X-ray. Plaque prevalence and multiterritorial involvement (≥2 vascular beds) were assessed. Agreement between territories was evaluated using Cohen’s κ. In pa-tients aged 50–69 years, the incremental value of vascular territories over SCORE2 was evaluated using ROC curves, bootstrap-corrected decision curve analysis (DCA), and reclassification metrics (IDI and continuous NRI). Results: Plaques were detected in carotid (36.0%), femoral (62.8%), and aortic (31.6%) territories, with multiterritorial involvement in 43.2%. Agreement between vascular beds was moderate (κ ≈ 0.35). Notably, 48.1% of patients without carotid plaques had femoral involvement. SCORE2 categories showed a strong gradient with plaque prevalence (p < 0.0001). In patients aged 50–69 years, adding vascular imaging improved discrimination for multiterrito-rial disease (AUC 0.73 vs 0.86–0.90). Reclassification analyses showed greater im-provement for carotid and aortic plaque (IDI 0.28; NRI 1.24–1.33) than femoral plaque (IDI 0.21; NRI 1.11). Bootstrap-corrected DCA confirmed improved net benefit. Con-clusions: The incremental value of vascular imaging over SCORE2 is pheno-type-dependent, with femoral plaque enhancing detection of subclinical disease and carotid/aortic plaque better identifying multiterritorial burden. These findings support a tailored, multiterritorial approach to CV risk assessment in PsA.

Abstract: This paper quantifies the spatial divergence between 128-channel Light Detection and Ranging (LiDAR) point clouds and Frequency Modulated Continuous Wave (FMCW) radar tracks in high-clutter urban environments using the TiAND dataset. Nearest-neighbor Euclidean distance between radar target centers and raw LiDAR geometry serves as the error metric, chosen because the dataset provides no semantic bounding-box annotations. Across all processed frames the system produced an RMSE of 10.083 m with a median error (P₅₀) of 1.157 m, while the 99th-percentile (P₉₉) deviation reached 43.008 m with the single worst-case ghost target exceeded 217 m. A total of 4,113 detections crossed the 15 m catastrophic threshold—a figure that must be interpreted against the full detection population reported in Section III. Critically, the top anomalies cluster across consecutive frames near fixed infrastructure suggesting persistent multi-path reflection geometry rather than isolated single-frame noise. These findings indicate that raw FMCW radar output without downstream filtering or LiDAR verification cannot be relied upon for spatial localization in unstructured urban traffic.

Abstract: Background: Respiratory infections in critically ill patients remain a major challenge in intensive care units (ICUs), with high morbidity and mortality. Conventional microbiological methods often fail to identify the causative pathogen promptly, particularly in patients previously exposed to antibiotics. Multiplex molecular platforms, such as the BioFire FilmArray® Pneumonia Panel Plus (FAPP), allow rapid detection of multiple respiratory pathogens and resistance markers, potentially improving early therapeutic decision-making. Objectives: To evaluate the impact of implementing FAPP on antimicrobial therapeutic decisions in critically ill patients with suspected respiratory infection. Methods: We conducted a retrospective cohort study in two mixed ICUs between 2023 and 2024. All respiratory samples in which FAPP was requested were analyzed. Results were compared with conventional cultures, and changes in antimicrobial therapy following FAPP results were assessed, classified as escalation/initiation or de-escalation/discontinuation. Concordance between FAPP and culture was evaluated, and clinical and demographic variables were analyzed. Differences between groups were assessed using p-values obtained from the chi-square test or the Mann–Whitney test. Results: A total of 363 respiratory samples were included, 88.4% from mechanically ventilated patients. FAPP was positive in 65.3% of samples, whereas cultures were positive in 23.1%. Overall concordance between FAPP and culture was 57.3%. In 42.4% of cases, pathogens were detected exclusively by FAPP. Antimicrobial therapy was modified in 29.8% of patients, predominantly through de-escalation or discontinuation (69.4% of changes). Therapeutic modifications were more frequent in nosocomial infections and in patients with a positive FAPP result. Conclusions: The use of FAPP in critically ill patients with suspected respiratory infection provides rapid microbiological information that significantly influences antimicrobial decision-making, particularly by facilitating antibiotic de-escalation. Although discrepancies with conventional cultures remain and require careful clinical interpretation, FAPP represents a valuable tool for antimicrobial stewardship in the ICU setting.

Abstract: Background Pre-travel health consultations require individualised risk assessment across itinerary, destination epidemiology, traveller characteristics, vaccine history, comorbidities, medication profile, pregnancy status, immune status, activities, timing, and access to care [8,10,11]. Artificial intelligence (AI), particularly large language models (LLMs), may support pre-consultation education, structured history collection, guideline retrieval, multilingual communication, and post-consultation reinforcement, but unsafe use may introduce hallucinated, outdated, or insufficiently personalised recommendations [5,6,14,15]. Objectives This scoping review maps the current evidence on AI tools relevant to pre-travel health consultations, characterises implementation gaps, identifies patient-safety risks, and proposes a supervised implementation model for travel medicine clinics [1,28-30]. Methods The review was conducted as a scoping review using the Arksey and O'Malley framework as advanced by Levac and colleagues and operationalised through the JBI scoping review guidance, with reporting aligned to the PRISMA Extension for Scoping Reviews (PRISMA-ScR) [1,28-30]. The review was not prospectively registered. Eligibility was defined by a Population–Concept–Context (PCC) framework. Targeted retrieval was conducted in May 2026 through PubMed/MEDLINE (one direct search string), academic and web-indexed search tools, citation chasing from Journal of Travel Medicine and Travel Medicine and Infectious Disease, and authoritative guideline and regulator websites. The search date range was January 2017 to May 2026. Sources were eligible if they addressed AI or digital decision support in pre-travel health, travel medicine, travel-related clinical decision support, clinical LLM safety, or guidance defining the standard pre-travel consultation. Screening and data charting were conducted by a single reviewer using a structured eligibility checklist (Supplement S2). Results Seventy records were identified, one duplicate was removed, 69 records were screened, 12 reports were sought for retrieval, one record could not be retrieved within the search window, and 11 reports were assessed in full text and included in the synthesis. Included sources comprised four direct pre-travel AI sources, one travel-related decision-support study, four guideline and context sources, and two clinical LLM safety sources. Direct evidence is thin: the only patient-level implementation report involved 26 travellers using a GPT-4 Travel Clinic Assistant in a Singapore tertiary travel clinic, where physicians and travellers reported acceptability and workflow benefit but objective effectiveness outcomes were not measured [3]. A ChatGPT pre-travel advice evaluation found generally readable and comprehensive answers to common questions, but responses lacked sufficient personalisation to itinerary, comorbidity, vaccine history, and cost considerations [2]. Broader clinical LLM evidence indicates that evaluation methods remain heterogeneous and that LLMs may repeat or elaborate false clinical details and hallucinate clinical guidelines in simulated decision-support tasks [13,14,16]. Conclusions Current evidence supports supervised AI augmentation of pre-travel consultations but does not support autonomous AI-led vaccine selection, malaria prophylaxis, contraindication screening, or individualised travel-risk clearance [2-6,14,15,48,50]. Near-term deployment should be restricted to clinician-supervised education, structured intake, source-grounded guideline retrieval, after-visit reinforcement, and escalation-triggered workflow support [4,5,34,49]. Travel medicine specialists, clinic leaders, regulators, and digital health developers should prioritise domain-specific hallucination audits, equity testing across visiting friends and relatives, migrant, older-adult, First Nations Australian, and Pacific Islander travellers, and prospective trials reported under CONSORT-AI, SPIRIT-AI, and TRIPOD+AI standards [31-33,37,38,41-44].

Abstract: Background: Climate change is increasingly recognized as a major global health threat, with disproportionate impacts on vulnerable populations, including women living with breast cancer who are receiving palliative care. These women often experience compounded physical, psychological, and socioeconomic burdens that may be intensified by climate-related stressors such as heatwaves, flooding, and disruptions to healthcare delivery. However, there is limited evidence from low- and middle-income countries, including Ghana, on how climate change affects the palliative care continuum and quality of life (QoL) among this population. Materials and Methods: A qualitative descriptive phenomenological design was employed to explore the experiences of women with breast cancer receiving palliative care at Ho Teaching Hospital, Ghana. Fourteen participants were purposively sampled between January and March 2026. Data were collected through semi-structured in-depth interviews conducted face-to-face. Interviews were audio-recorded, transcribed verbatim, and analyzed using Graneheim and Lundman’s conventional content analysis approach. Trustworthiness was ensured through credibility, dependability, confirmability, and transferability strategies. Ethical clearance was received before data collection began (HTH-REC/EX/2026/003) Results: Four main themes and thirteen sub-themes emerged: (1) Climate-related environmental disruptions (extreme heat, flooding, and unreliable electricity supply); (2) Health-related consequences along the palliative care continuum (symptom exacerbation, treatment interruptions, and reduced care accessibility); (3) Psychosocial and economic strain (emotional distress, financial hardship, food and water insecurity); and (4) Adaptive and coping responses (spiritual coping, family support, and reliance on healthcare providers and community networks). Conclusion: The study demonstrates that climate change significantly disrupts the palliative care continuum and diminishes the quality of life of women with breast cancer through interconnected environmental, clinical, and psychosocial pathways. Strengthening climate-resilient palliative care systems, improving healthcare infrastructure, and integrating psychosocial and environmental adaptation strategies into oncology and palliative care practice are urgently needed.