Abstract: Colon cancer represents one of the most prevalent malignancies globally, influenced by genetic mutations, environmental factors, and chronic inflammatory processes. Natural phytochemicals, particularly eugenol derived from Syzygium aromaticum (cloves), demonstrate selective cytotoxicity toward malignant cells while preserving healthy cellular integrity. This review synthesizes current evidence on eugenol's physicochemical properties, absorption kinetics, and molecular mechanisms underlying its anticancer efficacy in colorectal carcinomas. Eugenol's multitargeted action encompasses apoptosis induction, cell cycle arrest, suppression of inflammatory pathways, and inhibition of metastatic progression. Furthermore, nanotechnological encapsulation strategies have been explored to enhance bioavailability and pharmacokinetic stability. The present analysis consolidates preclinical findings, discusses clinical translation challenges, and identifies future research directions for eugenol as an adjunctive therapeutic agent in cancer management.

Abstract: We propose a solver-agnostic framework for analysing convergence in DSGE computation based on a single quadratic \emph{residual of sameness} measured in a fixed, calibrated norm. In the Deterministic Statistical Feedback Law (DSFL) view, an economic model is specified by a frozen defect representation and a declared symmetric positive definite ruler that aggregates equilibrium violations. Once this geometry is fixed, solver behaviour becomes a typed statement about the induced defect dynamics rather than an implementation-dependent notion of error. We show that standard DSGE solvers—time iteration, policy iteration, and Newton or quasi-Newton methods—can be analysed as residual-updating maps whose contraction properties yield explicit convergence envelopes, robust stopping rules under numerical forcing, and comparable rate diagnostics. A Gram-operator construction provides a single solver-agnostic contraction score and exposes non-normal transient amplification that eigenvalue diagnostics alone can miss. Numerical studies for a small New Keynesian model illustrate how the framework enables reproducible and interpretable solver comparisons within a single geometric language.

Abstract:

Dendrobium officinale (DO) is a traditional medicinal and edible plant whose polysaccharides help modulate gastrointestinal and metabolic functions. Fresh DO is commonly processed into “Fengdou” to prolong shelf life, but the effects of this processing on polysaccharide structure and bioactivity remain unclear. In this study, polysaccharides from fresh DO (FDOP) and Fengdou (DDOP) were isolated, purified, and comparatively characterized. Fourier transform infrared (FT-IR) analysis indicated similar functional groups and O-acetylated pyranosyl structures in both polysaccharides. Based on monosaccharide composition, methylation, and Nuclear Magnetic Resonance (NMR) analyses, both samples were identified as mannose-glucose heteropolysaccharides. However, FDOP was characterized by a higher mannose-to-glucose ratio (79.77:19.57) and molecular weight (187.1 kDa), as well as a more structurally diversified →4-linked backbone, whereas DDOP contained more glucose (68.74:30.94) and exhibited a lower molecular weight (125.1 kDa) and simplified backbone. In zebrafish models, both polysaccharides were found to alleviate loperamide-induced constipation and reduce lipid accumulation. DDOP showed stronger constipation-relieving activity, whereas FDOP exerted more pronounced hypolipidaemic effects, which may be attributed to its higher molecular weight, mannose enrichment, and more complex backbone structure. These findings provide a structural basis and theoretical support for developing DO-derived polysaccharides as functional food ingredients targeting constipation and dyslipidaemia.

Abstract:

Acute lung injury (ALI) is a severe inflammatory condition with high mortality rates, necessitating the development of effective therapeutic agents. Polydeoxyribonucleotide (PDRN), a DNA-derived compound known for its tissue repair and anti-inflammatory properties, has gained attention as a potential therapeutic agent. However, the efficacy of PDRN derived from marine sources, particularly Porphyra sp. (laver), remains unexplored in respiratory inflammation. In this study, we investigated the protective effects of Porphyra sp.-derived PDRN (Ps-PDRN) against LPS-induced ALI in mice through two administration routes: intranasal (IN) and oral (PO). Ps-PDRN treatment significantly attenuated fever, pulmonary edema, and histopathological changes in LPS-challenged mice. Both IN and PO administration of Ps-PDRN markedly reduced pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) and chemokines (MCP-1, RANTES, CXCL1, MIP-2) in bronchoalveolar lavage fluid (BALF) and serum. Comparative analysis of the two administration routes revealed distinct efficacy profiles, with oral administration demonstrating superior chemokine inhibition while intranasal delivery showed advantages in certain cytokine suppression. Histological examination revealed that Ps-PDRN preserved alveolar architecture and reduced inflammatory cell infiltration. Furthermore, in vitro studies using RAW 264.7 macrophages demonstrated that Ps-PDRN inhibited LPS-induced production of proinflammatory cytokines such as TNF-α and IL-6 in a dose-dependent manner. These findings suggest that Ps-PDRN exerts potent anti-inflammatory effects against ALI through both local and systemic administration routes, highlighting its potential as a novel therapeutic agent for inflammatory lung diseases.

Abstract: Accurate modeling of outdoor Wi-Fi propagation in dense urban environments is essential for smart city connectivity. Deterministic ray-tracing techniques provide high-fidelity insight into multipath propagation but suffer from high computational cost and limited scalability in large 3D environments. This work investigates a hybrid approach that combines MATLAB-based ray-tracing simulations with Machine Learning to enable scalable Wi-Fi~7 network analysis. A large dataset is generated over a realistic simulated university campus, covering multiple frequency bands (2.4, 5, and 6~GHz), transmit power levels, and ray-tracing configurations with reflections and diffractions. Several regression models are evaluated, with emphasis on transformer-based architectures. Results show that the FT-Transformer accurately approximates ray-tracing outputs while reducing inference time from months to minutes. The proposed framework enables fast surrogate modeling of radio propagation and supports network planning and digital twin applications.

Abstract: Copper-aluminum layered composites offer a promising combination of high conductivity, light weight, and cost-effectiveness, making them attractive for applications in electric vehicles, electronics, and power transmission. However, achieving reliable interfacial bonding while avoiding excessive work hardening and brittle intermetallic formation remains a significant challenge. In this study, a Cu18150/Al1060/Cu18150 trilayer composite was fabricated through a three-stage high-temperature oxygen-free rolling process. Subsequently, the produced composite was subjected to annealing treatments to systematically investigate the effects of rolling passes, annealing temperature/time on interfacial evolution and mechanical behavior. Results indicate that rolling passes primarily influence interfacial topography and defect distribution. Fewer passes lead to wavy, mechanically bonded interfaces, while more passes improve flatness but reduce intermetallic continuity. Annealing temperature critically governs diffusion kinetics; temperatures up to 400 °C promote the formation of a uniform Al2Cu layer, whereas 450 °C accelerates the growth of brittle Al4Cu9, thickening the intermetallic layer to 18 μm and compromising toughness. Annealing duration further modulates diffusion mechanisms, with short-term (0.5 h) treatments favoring defect-assisted diffusion, resulting in a porous, rapidly thickened layer. In contrast, longer annealing (≥1 h) shifts toward lattice diffusion, which densifies the interface but risks excessive brittle phase formation if prolonged. Mechanical performance evolves accordingly; as-rolled strength increases with the number of rolling passes, but at the expense of ductility. Annealing transforms bonding from a mechanical to a metallurgical condition, shifting fracture from delamination to collaborative failure. The identified optimal process, single-pass rolling followed by annealing at 420°C for 1 hour, yields a balanced interfacial structure of Al2Cu, AlCu, and Al4Cu9 phases, achieving a tensile strength of 258.9 MPa and an elongation of 28.2%, thereby satisfying the target performance criteria (≥220 MPa and ≥20%).

Abstract: AI-enabled fitness services collect continuous and sensitive data for monitoring and personalized feedback, which raises privacy and security concerns. Nevertheless, many users continue to engage with these services, suggesting a privacy–use tension. Using online survey data from 596 adults (age ≥ 18), this study examines AI fitness use from a privacy-satisficing perspective. We construct a Deviation index (standardized privacy concern minus standardized risk acceptance) and model high willingness to use AI fitness services with a parsimonious probability approach. Results indicate that continued use varies systematically across the Deviation spectrum. In logistic regression analyses, Deviation, perceived transparency and safety (Information Control Level, ICL), and privacy–convenience trade-off attitudes are associated with the likelihood of continued AI fitness use. Predicted probabilities vary gradually across the Deviation range. Overall, privacy concern and continued AI fitness use coexist in this sample, consistent with a bounded-rational privacy-satisficing interpretation.

Abstract: The global acceleration in electric vehicle (EV) adoption is projected to result in a substantial volume of spent traction motors reaching end of life EoL), especially in emerging economies. Addressing this challenge, the present study develops a comprehensive evaluation and decision-making framework to support the remanufacturing of EoL traction motors within Ghana’s circular economy context. The methodology integrates RUL prediction algorithms, a Multi-Stage Testing Protocol (MSTP), remanufacturability scoring using hybrid Multi-Criteria Decision Analysis (MCDA), and safe dismantling procedures aligned with Ghana’s EPA Act 917 and LI 2250. Tools such as vision-based screw detection, robotic disassembly path modelling, and non-destructive magnet removal are incorporated to ensure technical feasibility and operator safety. Results demonstrate the effectiveness of predictive models in estimating degradation patterns and confirm the technical viability of semi-automated disassembly workflows. The developed remanufacturing feasibility scoring tool enables objective selection of candidate motors for reuse, factoring performance, and environmental impact. This work offers a replicable, data-driven framework that strengthens local remanufacturing infrastructure, reduces reliance on critical raw materials, and advances sustainable motor lifecycle management in low and middle-income countries.

Abstract: Antimicrobial resistance [AMR] is a silent yet intensifying global threat, with particularly severe consequences in tropical and subtropical ecosystems, where high ecological connectivity, widespread antimicrobial use, and inadequate sanitation create ideal conditions for the persistence and spread of antimicrobial resistance genes [ARGs]. Within the One Health framework, migratory birds warrant special attention because they traverse tropical AMR hotspots, linking contaminated aquatic, agricultural, and peri-urban environments along established flyways. Evidence from tropical regions demonstrates that migratory birds frequently carry clinically meaningful ARGs, including extended-spectrum β-lactamases [ESBLs], carbapenemases, and colistin resistance [mcr] genes, highlighting their role as biological connectors that redistribute resistant bacteria between human-dominated and natural ecosystems and contribute to the expansion of the global resistome. Addressing the complex interface among AMR, migratory birds, and ARGs requires integrative surveillance strategies that explicitly incorporate wildlife into existing health systems. Genomic and metagenomic monitoring of migratory bird populations, combined with cross-sectoral data sharing, can provide early warning signals of emerging resistance patterns and inform evidence-based interventions. Understanding the ecological role of migratory birds in tropical ecosystems is therefore essential for designing effective One Health strategies to curb transboundary AMR dissemination and preserve the long-term efficacy of antimicrobial therapies.

Abstract: Falls among people living with dementia are a major adverse health outcome, strongly associated with physical disability, decline in activities of daily living (ADL), institutionalization, and increased mortality risk. The incidence of falls in this population is consistently higher than in older adults with preserved cognitive function. Although exercise interventions centered on lower-limb strength and balance training have been firmly established as effective for reducing falls among community-dwelling older adults, standard fall-prevention programs such as the Otago Exercise Programme (OEP) are implicitly designed under the assumption that participants retain adequate comprehension, memory, executive function, and self-management capacity. As a result, these programs are prone to implementation failure in dementia care and clinical settings.This paper aims to theoretically reconfigure fall-prevention exercise by decomposing existing evidence into “core active ingredients” and “design elements that impose excessive burden in dementia,” and by reconstructing a dementia-adapted framework for fall-prevention exercise. Specifically, we propose a Dementia-adapted Otago Exercise Programme (D-OEP) based on four core principles: (1) radical simplification of task structure; (2) exclusion of high-risk static balance tasks; (3) embedding balance stimuli within functional movements such as sit-to-stand and supported ankle exercises; and (4) delivery formats that assume caregiver supervision and support.Rather than eliminating balance training, this framework repositions balance stimuli into safe, repeatable functional activities, thereby suppressing fear responses and maladaptive reactions while ensuring cumulative exposure to lower-limb strength and postural control demands. The value of fall-prevention exercise lies not in theoretically optimal prescriptions but in cumulative exposure to active ingredients achieved through feasibility, adherence, and safety. This paper reframes fall prevention not as an issue of “exercise inefficacy” but as a problem of design and implementation, and provides a conceptual foundation for translating evidence into dementia care practice.

Abstract: Background: Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2), the causative agent of Coronavirus disease 2019 (COVID-19), exploits the angioten-sin-converting enzyme 2 (ACE2) for cell entry, implicating the renin–angiotensin sys-tem (RAS) in disease pathogenesis. Hypertension (HT), a major comorbidity, is strongly influenced by genetic factors within RAS, including angiotensin ii receptor type 1 (AGTR1) and ACE2) polymorphisms. However, data on these variants in African pop-ulations remain scarce. This study investigated associations between AGTR1 and ACE2 single nucleotide polymorphisms (SNPs), HT, and COVID-19 severity in patients at A Tshwane Academic Hospital. Methods: We genotyped AGTR1 and ACE2 SNPs in 94 PCR-confirmed COVID-19 pa-tients using Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight (MAL-DI-TOF) mass spectrometry. Clinical data were extracted from hospital records. Ordi-nal logistic regression models assessed relationships between SNPs, HT, and COVID-19 severity. Results: The cohort (mean age 53.9 years; HT prevalence 54.9%) exhibited mild (54.9%), moderate (18.6%), and severe (26.5%) COVID-19. The rs21068092 A genotype was significantly associated with reduced odds of severe disease (OR = 0.39, 95% CI: 0.14–1.08, p = 0.04), suggesting a protective effect. Other SNPs and clinical variables showed no significant associations. Conclusion: This first report on AGTR1 and ACE2 SNP profiles in COVID‑19 patients from Tshwane highlights rs2106809 as a potential protective marker. Age correlated with severity. Larger, multi‑ethnic studies are needed to confirm these findings.

Abstract: Background: Occupational therapists often provide sensory integration therapy (SIT) as part of interventions for children with autism spectrum disorder (ASD). However, evi-dence supporting its effectiveness remains limited. Therefore, this study aimed to explore the feasibility and potential benefits of once-weekly SIT for children with ASD and co-occurring intellectual disability (ID). Methods: A non-blinded single-group pre–post study was conducted using SIT once a week for 8 weeks. Participants were children aged 2–6 years who had been diagnosed with ASD, had a developmental index score of ≤70, and were classified as having severe autism according to the Childhood Autism Rating Scale. Outcome measures included the Goal Attainment Scaling (GAS), Vineland Adaptive Behaviour Scales, Second Edition (VABS-II), Short Sensory Profile (SSP), and Parenting Stress Index, Short Form (PSI-SF). Data were analysed using the Wilcoxon signed-rank test to compare pre- and post-intervention results. Results: All 10 participants who completed the study exceeded the expected treatment outcome threshold on the GAS. On the VABS-II, significant improvements were observed in the overall adaptive be-haviour composite score as well as in the subdomains of communication, daily living skills, and socialization. No significant differences were observed for SSP or PSI-SF scores. Conclusions: This study showed the feasibility and potential benefits of once-weekly SIT for children with ASD and co-occurring ID. However, the observed changes involved considerable uncertainty, and the potential influence of concurrent developmental therapies could not be excluded. Trial registration: This study was retrospectively reg-istered in the University Hospital Medical Information Network (UMIN000059427).

Abstract: Maritime safety is a crucial aspect in busy and complex shipping lanes, particularly in strait areas that are prone to accidents due to high vessel traffic and dynamic envi-ronmental conditions. This study aims to calculate a maritime safety index by consid-ering various factors, including vessel characteristics, ship encounter conditions, oper-ational time parameters, and oceanographic conditions such as currents and waves. The data used consist of questionnaires, AIS data, and oceanographic information, collected over a one-month period at three-hour intervals. The case study focuses on the Bali Strait and the Lombok Strait, with spatial segmentation into grid cells to sup-port spatial analysis. The safety index is calculated using two models: Model I com-bines vessel and encounter characteristics with temporal parameters, while Model II incorporates oceanographic factors into the assessment. Following the index calcula-tion, multivariate analysis conducted to identify the key factors that significantly in-fluence maritime safety levels. The results show that navigation risks in both straits are mainly influenced by vessel traffic, sailing hours, days of the week, and environmental conditions. In the Bali Strait, the highest risks occur near Ketapang and Gilimanuk Ports, while in the Lombok Strait, Padangbai, Lembar, and the ALKI II route show ele-vated risks. Multivariate analysis reveals that longer vessels, higher speeds, and dy-namic sea conditions dominate in Lombok, whereas older vessels and closer spacing are more critical in Bali.

Abstract: Revision total knee arthroplasty (rTKA) is a technically demanding procedure that fre-quently relies on stems, augments, metaphyseal cones and constrained implants to restore knee alignment and stability. In carefully selected cases with preserved metaphyseal bone stock and competent collateral ligaments, robotic assistance allows a bone-preserving strategy in which alignment, joint line height, and soft-tissue balance are restored using conventional posterior-stabilized components with short cemented stems rather than higher invasive and constrained constructs. This technical note describes a step-by-step surgical workflow using the Mako robotic system (Stryker) to revise failed primary TKA associated with minimal metaphyseal bone loss to rTKA with conventional posterior-stabilized components with short cemented stems within a functional-alignment framework. The workflow integrates CT-based three-dimensional planning, registration on in situ implants, real-time gap assessment, and precise robotic bone preparation to correct deformity and to restore stability while minimizing additional bone resection. In this setting, limited tibial metaphyseal defects are managed with impacted autologous cancellous graft, and stable fixation is achieved with short cemented stems. This reproducible robotic-assisted approach is intended as a bone-preserving option for selected rTKA cases associated with minimal bone loss and as a conceptual bridge between robotic-assisted primary and conventional revision TKA performed with mechanical technique and alignment.

Abstract: In people with dementia, sleep disturbances and circadian rhythm disruption, as well as heightened stress responses and behavioral and psychological symptoms of dementia (BPSD), constitute major drivers of nighttime agitation, delirium, falls, infections, emergency visits, hospitalization, and institutionalization, thereby sharply increasing caregiving burden and healthcare and long-term care costs. At the same time, conventional sleep hygiene and BPSD management approaches tend to rely on complex self-management models that presuppose “correct instruction,” which are prone to implementation failure in dementia due to impairments in executive function, attention, and memory. The purpose of this paper is not to present new efficacy data, but rather to reorganize existing evidence on sleep and stress/BPSD management from the perspective of “core active ingredients,” and to propose a reconfigured intervention framework that can realistically function in dementia care settings: the Dementia-adapted Sleep & Stress Management (D-SSM) framework. The proposed program retains three minimal core elements: (1) anchoring daily rhythms (fixed wake time and morning light exposure); (2) proactive removal of triggers for nighttime agitation and delirium (e.g., pain, constipation, dehydration, sleep deprivation); and (3) consistent, reassurance-oriented communication and standardized responses based on the DICE approach. This design suppresses reliance on complex self-judgment and multi-stage behavior change tasks. Future evaluation should prioritize implementation-focused outcomes that are directly linked to costs—such as nighttime caregiving frequency, incidence of delirium and BPSD, psychotropic medication use, and emergency visits—rather than focusing exclusively on falls or cognitive indices.

Abstract: In this study, ferulated arabinoxylans (FAXs) were extracted from maize bran by optimizing al-kaline extraction method and explored their purification, identification and antioxidant potential. The current results showed that FAXs yield ranged from 14.7 to 18.9 % from maize bran. It was found that the FAXs were mainly composed neutral sugars including xylose (21–44%), arabinose (12–30%), galactose (2.7-7.4%) and glucose (4.6–9.4%), with an A/X ratio of 0.68–0.74. In addition, FAXs extracts showed significantly (p < 0.05) high content of ferulic acid in bound form as com-pared to free form. Furthermore, biopolymers FAXs possess powerful radical scavenging prop-erties due to their polyphenolic content and structural characteristics. FTIR spectra of maize bran extracted FAXs exhibited the presence of polysaccharide compounds. The corresponding bands were related to glycosidic linkage, which is assigned to the C-OH bend vibration in FAX. In functional characteristics, FAXs showed high water holding capacity, emulsion properties and emulsion stability in all treatments. In current research, FAXs have been comprehensively char-acterized, and several promising applications across the food, pharmaceutical, and agricultural industries can be explored based on these findings.

Abstract:

Embolization of intracardiac occlusion devices is an uncommon but potentially serious complication requiring interventional radiology management. We report a case of delayed migration of an Amplatzer patent foramen ovale occluder into the infrarenal abdominal aorta. An 18-year-old woman presented with acute abdominal pain one month after percutaneous PFO closure. Contrast-enhanced computed tomography performed for suspected intra-abdominal bleeding incidentally revealed the embolized device in the infrarenal aorta, with preserved renal artery patency. After multidisciplinary evaluation, endovascular retrieval was planned. Via right common femoral artery access, the device was successfully captured using a snare system and removed through a large-bore introducer sheath without complications. Final angiography confirmed normal aorto-iliac patency. This case highlights the importance of cross-sectional imaging and demonstrates that endovascular snare retrieval is a safe and effective first-line treatment for delayed device embolization.

Abstract: Commercial supersonic passenger transport has been absent from global aviation for more than two decades, largely due to regulatory, geographic, and economic constraints. While renewed interest in supersonic travel has emerged with advances in aircraft design, there remains a lack of scalable methods for assessing where such operations could be viable. This study evaluates supersonic feasibility at the route level using a data-driven framework that integrates engineering, regulation, and economics. A global dataset comprising 435 city-pair routes was constructed using aircraft performance estimates, great-circle routing, over-water routing fractions, and demand indicators derived from population and gross domestic product data. Routes were labeled as feasible or unfeasible based on domain-informed criteria, and supervised machine-learning models were trained to learn a continuous feasibility score between 0 and 1. A Decision Tree classifier was used to extract interpretable feasibility rules, while an Extreme Gradient Boosting (XGBoost) classifier provided predictive performance. Model behavior was analyzed using SHapley Additive exPlanations (SHAP). The results show that over-water routing fraction is the dominant determinant of feasibility, followed by time savings and great-circle distance, with demand contributing in marginal cases. The framework produces a ranked set of candidate routes as well as a predictive engine for future routes.

Abstract: This paper proposes the Computable Structure of National Narrative (CSNN) framework, treating state-level political texts as engineering-oriented governance systems. Using President Xi Jinping's 2026 New Year Address as a case study, it constructs a multi-level variable and causal pathway model encompassing ‘governance input—transformation mechanism—governance output’. The research integrates computational content analysis, sentiment analysis, and semantic network analysis to transform the text into a reproducible variable system: independent variables encompass development/innovation, people's livelihoods, culture, discipline, and external governance narratives; mediating variables include policy perceptibility, emotional resonance, and governance credibility; dependent variables are governance legitimacy and social cohesion; external uncertainty is introduced as a moderating factor. Results reveal: national narratives exhibit stable functional paragraph sequencing; sentiment is not an end-stage effect of communication but a key mediator in generating governance legitimacy; governance legitimacy displays structural output characteristics, dependent on the convergence of multiple mediating pathways. This study contributes a computable, interpretable, and transferable toolchain for political narrative research, providing a reproducible empirical framework for cross-year, cross-national, and multimodal expansion.

Abstract: Unlike skeletal Class I and II patients, the application of maxillomandibular advancement (MMA) in skeletal Class III patients with obstructive sleep apnea (OSA) is not well documented. The aim of this scoping review was to explore the variations and outcomes of MMA techniques in this unique subgroup. A comprehensive search of PubMed, Embase, Cochrane and LILACS databases were conducted for articles published up to May 2025. Nine studies met the inclusion criteria. Three main variations of MMA were identified: (1) Bimaxillary advancement, which provides the most significant airway enlargement across all pharyngeal regions but carries the highest risk of facial aesthetic distortion; (2) Maxillary advancement with mandibular auto-rotation, a less invasive option suited for patients with isolated maxillary retrusion and symmetrical mandibular anatomy; (3) Maxillary advancement with mandibular setback, which addresses aesthetic concerns in patients with mandibular excess but may compromise oropharyngeal airway space. All variations were reported to be effective in treating OSA but with different considerations. Surgical planning for skeletal Class III patients with OSA should be individualized based on craniofacial morphology, anatomical site of airway obstruction, and aesthetic considerations. A decision flowchart was shared in this study.