Abstract: The geometric contribution to the superfluid density has been found to be of great importance in the inner crust of neutron stars. In this work we clarify how this contribution arises in the context of a band theory for neutrons. Specifically, we derive the dependence of the superfluid density on the magnitude of the pairing gap when the system has many bands cutting the Fermi energy, as it is the case for the neutrons in the inner crust. Also, in the perturbation theory framework, we find that it is essential to account for the corrections to the (Bogoliubov) quasi-particle states in order to get the geometric contribution. Accounting only for the corrections to the (Hartree-Fock) single-particle states leads to the conventional contribution only.

Abstract: Background/Objectives: Refractory macular holes (MH) that persist after conventional internal limiting membrane (ILM) peeling pose a significant surgical challenge. This study analyzed the anatomical and functional outcomes of epiretinal human amniotic membrane (hAM) transplantation in these patients. Methods: This retrospective study included 10 eyes of 10 patients with refractory MH. All patients underwent 25-gauge pars plana vitrectomy, epiretinal cryopreserved hAM transplantation, and C3F8 gas tamponade. The large hAM graft was placed over the macula with the chorion side facing the retina. Preoperative and postoperative best-corrected visual acuity (BCVA), optical coherence tomography (OCT) findings, and MH dimensions were recorded. Results: The mean follow-up period was 7 months (range 3–14 months). The mean preoperative minimum linear diameter and base diameter of the MHs were 715 ± 212 μm and 1114 ± 258 μm, respectively. Anatomical closure was achieved in all patients (100%). Postoperative OCT revealed rearrangement of the inner and other retinal layers in 7 out of 10 patients (70%), with partial restoration of the outer retinal layers. The mean logMAR BCVA improved significantly from 1.60 ± 0.37 preoperatively to 1.00 ± 0.45 postoperatively (p < .001). No graft dislocation, rejection, or other significant complications were observed. Conclusions: Epiretinal human amniotic membrane transplantation is an effective and safe surgical technique for achieving anatomical closure and functional improvement in refractory macular holes where conventional ILM peeling has failed.

Abstract: We compile the falsifiable predictions stated across the Quantum Information Copy Time(QICT) preprint series into a single referee-usable atlas. Each entry is recorded as an observablestatement with (i) an explicit numerical value or band when available, (ii) a minimal hypothesisset, and (iii) a concrete falsification route. The atlas is conservative: it standardizes notationand uncertainty conventions (e.g., explicit 1σ bands) without introducing additional modelingbeyond what is stated in the sources.

Abstract: The agricultural cooperation between China and Africa serves as a pivotal example of international partnership, contributing to sustainable regional development and aligning with SDGs. This review article provides a comprehensive analysis of the state of China- Africa agricultural cooperation, highlighting its achievements, challenges, and prospects. Despite the progress made through technical support, financial aid, and infrastructure development, current efforts often lack a holistic approach to fully utilizing African agricultural resources for sustainable regional advancement. This study synthesizes existing literature, policy documents, and case studies to explore sustainable agricultural development pathways facilitated by regional cooperation with external partners. It delves into the dynamics and characteristics of China- Africa agricultural collaboration, identifies persistent challenges in resource integration, and proposes potential pathways for enhancing development. By highlighting the role of partnerships, this review provides valuable insights for policymakers and contributes to achieving sustainable agricultural development through practical international cooperation.

Abstract: Triple-negative breast cancer (TNBC) remains one of the most aggressive and therapeutically challenging breast cancer subtypes, lacking expression of estrogen receptor, progesterone receptor, and HER2. Conventional chemotherapy and immune check-point inhibitors provide some benefit, but resistance and relapse are frequent. The search for novel targets has therefore become central to developing more effective and durable therapies. Recent advances in proteomics, structural biology, and targeted protein degradation are rapidly expanding the repertoire of actionable molecules in TNBC. This review summarizes current and emerging therapeutic strategies for TNBC, with a focus on targeted approaches designed to address tumor heterogeneity and resistance mechanisms. To the aim, recent advances in targeted therapies are examined, including immune checkpoint inhibitors, PARP inhibitors, Trop-2–directed antibody–drug conjugates, anti-angiogenic agents, PI3K/Akt/mTOR pathway inhibitors, androgen receptor antagonists, and CDK4/6 inhibitors, highlighting results from completed and ongoing clinical trials. In addition, we explore novel targets identified through integrative omics approaches, as well as the role of the tumor microenvironment in modulating therapeutic efficacy. Finally, we outline innovative radiotherapy strategies based on targeted radiation delivery and biological integration with systemic therapies. Collectively, this review provides an updated overview of the evolving TNBC therapeutic landscape and high-lights promising directions for the development of next-generation, biomarker-driven treatment strategies aimed at improving patient outcomes.

Abstract: Diaporthe sojae is well known as a causal pathogen of pod and blight as well as seed decay in soybean (Glycine max), it is also known to cause root rot symptoms, though its role is poorly defined. During a 2024 survey in Manitoba, Canada, D. sojae was routinely isolated from roots exhibiting cortical decay and discoloration. The identity of 23 representative isolates was confirmed through morphological characterization and multi-locus phylogenetic analysis using internal transcribed spacer (ITS) and translation elongation factor 1-alpha (EF1-α) sequences. Phylogenetic analysis revealed that the ITS region provided superior resolution in distinguishing D. sojae from the closely related D. longicolla, whereas EF1-α lacked discriminatory power. Pathogenicity was evaluated for 19 isolates on soybean cv. Sperling in a greenhouse assay using colonized wheat-kernel inoculum. While all isolates were pathogenic, significant virulence diversity was observed among isolates, with Disease Severity Indices (DSI) ranging from 68.8% to 100%. Two distinct virulence phenotypes were identified: acute virulence isolates causing 100% seedling mortality (damping-off), and more chronic phenotype characterized by root necrosis and stunting without immediate plant death. This study constitutes the first confirmed report of D. sojae causing soybean root rot in Canada. These findings expand the known disease spectrum of D. sojae and highlight the necessity of including this pathogen in future root-rot diagnostic and management strategies.

Abstract: Assessments of extreme psychological constructs often face a persistent challenge: the ceiling effect, in which a significant proportion of respondents select the highest score on a scale, thus obscuring an important part of the population's variation. This effect may have profound consequences in studies of extreme psychological constructs. To address this limitation, we introduce a novel framework that integrates Multistage Testing (MST) with open-ended questions that are automatically analyzed by large language models (LLMs). This hybrid approach adapts the survey questions to the respondent while leveraging LLMs to efficiently and reliably interpret free-text answers in large-scale online surveys. Using a case study on aversion toward cockroaches, we show how our method can effectively eliminate extreme ceiling effects, revealing hidden data distributions that are often obscured by extreme responses to conventional Likert-type survey questions. In addition, validation against expert human annotations of survey responses demonstrates the consistency and reliability of the LLMs' performance as evaluators of free-text answers. This framework offers a generalizable methodology that enables more precise and sensitive quantitative measurement of extreme psychological constructs, allowing researchers to study topics that until now were inaccessible due to significant, inherent ceiling effects.

Abstract: The digital transformation of university administrative services is essential for managing the complexities of modern campus logistics. Student accommodation management, in particular, requires a robust infrastructure to handle high volumes of sensitive data, financial transactions, and real-time resource allocation. This research details the Design and Development of a Cloud-Based Student Accommodation Management Application, a solution designed to replace inefficient legacy systems with a scalable Software-as-a-Service (SaaS) model. The platform utilizes cloud-native architecture to provide a seamless interface for students while offering powerful automation tools for administrators. Evaluation of the system focuses on performance metrics and user-centric validation. Results demonstrate that the integration of cloud computing significantly improves operational transparency and reduces the latency associated with manual housing assignments. This study provides a technical framework for deploying enterprise-level cloud applications within the higher education sector.

Abstract: Massera and Schaffer [\textit{Ann. Math. (2), 1958}] derived a breakthrough upper bound for the Clarkson angle between two nonzero vectors in a normed linear space, which was later improved by Maligranda [\textit{Am. Math. Mon., 2006}]. Pecaric and Rajic [\textit{Math. Inequal. Appl., 2007}] extended Maligranda's inequality to finitely many nonzero vectors. We derive a non-Archimedean version of Massera-Schaffer-Maligranda-Pecaric-Rajic inequality.

Abstract: This study examines healthcare system strains in rapidly aging societies through a comparative analysis of Puerto Rico, Cuba, Japan, the Philippines, and South Korea. While existing research documents global aging and physician migration trends, few studies explore how these challenges manifest in conjunction with each other. Puerto Rico presents a critical case, with 24% of its population aged 65+, severe physician migration, and systemic underfunding under U.S. Medicaid structures. Using a structured comparative case methodology, we analyze policy responses across four nations with divergent approaches: Cuba, Japan, the Philippines, and South Korea. Data from government reports, academic literature, and World Health Organization (WHO) datasets show that (1) proactive medical education investments outperform reactive measures, (2) dedicated long-term care financing is essential but structurally unavailable in Puerto Rico, and (3) territorial status in the case of Puerto Rico, constrains policy innovation. Conventional aging frameworks are challenged by revealing how high-income territories can exhibit low systemic adaptability. Proposed are targeted reforms for Puerto Rico, including Medicaid restructuring and workforce incentives, with broader implications for aging societies under constrained sovereignty. This study fills a critical space in understanding how geopolitical contexts shape healthcare system vulnerabilities.

Abstract: The double-slit experiment, a cornerstone of quantum mechanics, is traditionally viewed as a paradoxical demonstration of wave-particle duality. This article posits that its core dynamic—superposition, interference, and environment-driven localization—is not a unique quantum phenomenon but a fundamental computational principle implemented by the brain. We introduce the Ze framework, arguing that the brain operates as a biological interferometer. Cognitive systems maintain multiple generative hypotheses in a state of active interference (superposition), analogous to the quantum wavefunction passing through both slits. "Which-path" information, supplied by sensory data, action, and social context, forces cognitive decoherence, localizing perception and decision into a single narrative. Sleep is recast as an intrinsic quantum eraser, periodically degrading which-path information to restore cognitive flexibility and prevent pathological hyper-localization. The framework structurally links quantum decoherence, Bayesian active inference, and the neurobiology of sleep and wake cycles. It provides a transdiagnostic model for psychopathology, where disorders like psychosis and PTSD are seen as dysregulations of this interference-localization cycle. We conclude that the brain does not observe quantum reality; it actively instantiates its core logic, making the double-slit experiment a continuous, lived process of resolving ambiguity to survive and understand the world.

Abstract: Background/Objectives: Parkinson’s disease (PD) involves motor and non-motor im-pairments, including visual dysfunction related to retinal dopamine deficiency and mi-crovascular changes. Photobiomodulation (PBM) and aerobic exercise (AE) may offer neuroprotective and vascular benefits. This brief report presents findings from a ran-domised pilot trial comparing PBM, AE, and their combination on visual function, ocular health, and patient-reported outcomes in PD. Methods: Twenty participants with idio-pathic PD (mean age 76.1 ± 8.8 years; Hoehn & Yahr I–III) completed four 8-week in-terventions (PBM, AE, PBM + AE, sham), separated by 4-week washouts. PBM was ap-plied to the head, neck, and abdomen; AE followed a modified forced-rate protocol. Changes in ocular measures, including visual acuity (VA), contrast sensitivity, retinal nerve fibre layer (RNFL) thickness, choroidal thickness, retinal vascular perfusion, and questionnaires: 12-item Short Form Survey (SF-12), 39-item Parkinson’s Disease Ques-tionnaire (PDQ-39), and Falls Efficacy Scale–International (FES-I), were assessed pre- and post- intervention. Results: Seventeen participants completed all measurements. Non-pharmacological interventions resulted in improved VA (0.10 ± 0.02 to 0.02 ± 0.03, p = 0.01) and increased central retinal vascular perfusion (16.7 ± 1.4 % to 20.5 ± 1.6 %, p < 0.01) from pre- to post-study interventions. RNFL and choroidal thickness did not change significantly. Fear of falling decreased significantly (28.5 ± 2.4 to 22.7 ± 1.8, p < 0.01), while PDQ-39 and SF-12 scores were unchanged. Conclusions: PBM, alone or combined with AE, improved vision and retinal microvascular function and reduced fear of falling in individuals with PD, warranting larger-scale trials to further delineate independent and synergistic effects.

Abstract: This study examined the relationship between perceptions of financial health indica-tors, lived experiences, and actions taken to address economic crises, while also ex-ploring potential gender differences. A non-experimental, quantitative, cross-sectional design was applied to a sample of 499 working professionals who had graduated from universities in Veracruz and were employed in either the public or private sector. A 24-item Likert-scale instrument was used to assess financial health perceptions, per-sonal experiences, and crisis-related actions. Reliability was confirmed with Cronbach’s alpha and McDonald’s omega values above 0.7. Data were analyzed using Exploratory Factor Analysis with Varimax rotation, Structural Equation Modeling, and Bayesian analysis to assess gender differences. A four-factor structure explained 64.86% of the variance. Moderate correlation was observed between financial wellbe-ing and resilience (r = 0.32), a weaker correlation between wellbeing and experiences (r = 0.18), and a strong correlation between experiences and actions in crises (r = 0.47). No significant gender differences were found. Findings highlight strategies for man-aging financial crises, maintaining credit health, and improving resilience, proposing a refined three-factor model linking experiences and actions to financial outcomes.

Abstract: Based on a unified non-perturbative quantum gravity framework, this paper systematically elaborates on the cross-scale universality of the quantum gravitational correction term containing a logarithmic term. At the microscale of black hole singularities, it dynamically resolves the singularity through a repulsive potential and ensures information conservation; at the macroscale of black hole gravitational fields and galaxies, it maintains the high-speed revolution of stars and the flatness of rotation curves through additional gravity, eliminating the need for assumptions such as dark matter or black hole spin fitting parameters. With quantum vortices (statistical average topological structures of microscopic particles) and nested AdS/CFT duality as the physical core, the framework derives a modified gravitational potential with a logarithmic term: \( Φ(r)=-\frac{GM}{r}-\frac{kG_h M^2 (ln⁡r+1)}{r} \). Among them, the logarithmic term ln⁡r is the core of realizing the cross-scale effect of “repulsion at short distances and attraction at long distances”. Through predicting black hole shadows (Sgr A*, M87*) consistent with EHT observations without introducing additional free parameters (e.g., spin); calculating the “periastron” velocities of high-speed stars (S4714, S62) orbiting black holes; fitting galaxy rotation curve data (Milky Way, Andromeda Galaxy, NGC2974); and further analyzing the mathematical asymptotic behavior of dark matter halos, multiple cross-scale verifications (spanning nearly 30 orders of magnitude from black hole singularities to galaxies) prove that the framework has high consistency with observations in both strong gravitational fields (black holes) and weak gravitational fields (galaxies). It achieves the first unified description of gravity from the microscale to the macroscale, providing observable and reproducible empirical support for quantum gravity theory.

Abstract:

The family Flaviviridae has been expanded to include the highly divergent flavi-like viruses into three new families, Flaviviridae, Pestiviridae, and Hepaciviridae in the order Amarillovirales. Classical flavivirids are small, enveloped viruses with positive-sense ssRNA genomes lacking a 3’ poly(A) tail, and ~ 9.0-13.0 kb in length, with a single ORF encoding structural proteins at the N terminus and nonstructural proteins at the C terminus. Members infect a wide range of mammals, birds, and insects, and many are host-specific and pathogenic. Although the RdRP gene sequences of the flavi-like viruses group phylogenetically with those of classical flavivirids, flavi-like viruses often encode larger polyproteins and possess substantially longer genomes of up to ~ 40 kb, and some have a 3’ poly(A) tail. Their host range extends across the whole animal kingdom and in angiosperm plants. This review describes the reported flavi-like viruses of aquatic animals, providing a meaningful update on all three new families in Amarillovirales that have been discovered in fish, crustaceans, mollusks, and echinoderms, using metagenomics. These amarilloviruses include pathogenic viruses of aquatic animals, such as Cyclopterus lumpus virus (CLuV) detected in moribund lumpfish, and Infectious precocity virus (IPV) found in iron prawn syndrome (IPS)-affected farmed giant freshwater prawns.

Abstract: Due to the seasonality of its production and to its polluting characteristics, the management and disposal of large amounts of grape pomace (GP) produced worldwide every year can pose a significant economic and environmental challenge. The research on the possible exploitation of GP for various purposes has been constantly growing during the last years, due to the increased general sensibility on issues like sustainability of agro-industrial production and to the growing consumer demand for the use of natural versus synthetic compounds. The work concerned the determination of the polyphenolic profile and the dietary fiber content of skins and seeds from unfermented and fermented white and red grape pomace of different cultivars, sampled from local wineries in the Piedmont area (Italy) after winemaking. A double extraction was performed to maximize the extraction of polyphenols from grape pomace flours. The extractable polyphenols content (EPP) was determined in the extracts, while the non-extractable condensed tannins (NEPP) linked to the fiber were quantified in the residue after extraction. The total dietary fiber (TDF) was determined for skins and seeds; limited to skins, the analysis was extended to the distinction between soluble and insoluble dietary fiber (SDF and IDF). The polyphenolic and dietary fiber content was significantly higher in seeds than in skins. However, from a nutritional point of view, skins dietary fiber may be more interesting due to the higher NEPP content than seeds; moreover, the winemaking technique influenced the quantity and characteristics of skins fiber, which contained SDF, almost absent in seeds.

Abstract: Agentic AI systems operating autonomously over extended periods present challenges for human oversight, particularly when agents deviate from expected behavior. This paper explores PerformanceGrounded Interpretability (PGI), an architectural approach in which explanations reference documented execution traces that have been evaluated against explicit performance criteria and retained in memory, rather than being generated through post-hoc linguistic rationalization. We present HCIEDM (Human-Centered Interpretability via Evaluation-Driven Memory) as an implementation of PGI principles. In controlled simulation with 120 episodes across logistics optimization tasks, HCI-EDM showed improved trust calibration metrics (mean trust score 4.62/5.0 vs. 3.87/5.0 for chain-of-thought baseline, p < 0.001) and reduced decision comprehension time by 51% (20.7s vs. 42.3s, p < 0.001) under simulated oversight conditions. The system achieved 91% transparency (proportion of independently verifiable explanations) compared to 43% for narrative baselines in this controlled setting. These results suggest that grounding explanations in documented performance history may provide one viable approach toward interpretable oversight of autonomous agents. This work presents an architectural exploration and controlled evaluation; it does not claim safety guarantees, correctness proofs, or deployment readiness.

Abstract:

Understanding the continuity from physical and biological systems to the mind and society remains a fundamental scientific challenge, often hindered by disciplinary fragmentation. This paper proposes the Multi-level Constraint Recursive Realization (MCRR) framework to offer a unified, first-principles-based account of this continuity. Its core thesis is that any persistent dissipative structure must satisfy three irreducible meta-constraints: (1) acquiring resources, (2) optimizing internal processes, and (3) maintaining its boundary. The framework's central mechanism is "recursive realization": higher-order complexities (e.g., adaptive behavior, mind, institutions) are not emergent novelties but strategic solutions evolved to resolve escalating conflicts among these constraints in variable environments. This process is driven by system-environment conflict, follows a logic of dynamic multi-dimensional prioritization, and is governed by cost-benefit trade-offs. MCRR systematically derives a functional hierarchy from passive structures to institutionalized society, explaining increasing flexibility as a recursive response to more complex constraint conflicts. It integrates and extends insights from autopoiesis, life history theory, and active inference, positioning them within the broader narrative of constraint satisfaction. As a heuristic meta-framework, the MCRR provides novel and testable perspectives for cognitive neuroscience, computational psychiatry, AI, and social sciences, fostering interdisciplinary dialogue on adaptation, complexity, and the origins of intelligence and culture.

Abstract: This study re-evaluates ROC-AUC for binary classification under severe class imbalance (<3% positives). Despite its widespread use, ROC-AUC can mask operationally salient differences among classifiers when the costs of false positives and false negatives are asymmetric. Using three benchmarks, credit-card fraud detection (0.17%), yeast protein localization (1.35%), and ozone level detection (2.9%), we compare ROC-AUC with Matthews Correlation Coefficient, F2-score, H-measure, and PR-AUC. Our empirical analyses span 20 classifier–sampler configurations per dataset, combined with four classifiers (Logistic Regression, Random Forest, XGBoost, and CatBoost) and four oversampling methods plus a no-resampling baseline (no resampling, SMOTE, Borderline-SMOTE, SVM-SMOTE, ADASYN). ROC-AUC exhibits pronounced ceiling effects, yielding high scores even for underperforming models. In contrast, MCC and F2 align more closely with deployment-relevant costs and achieve the highest Kendall’s τ rank concordance across datasets; PR-AUC provides threshold-independent ranking, and H-measure integrates cost sensitivity. We quantify uncertainty and differences using stratified bootstrap confidence intervals, DeLong’s test for ROC-AUC, and Friedman–Nemenyi critical-difference diagrams, which collectively underscore the limited discriminative value of ROC-AUC in rare-event settings. The findings recommend a shift to a multi-metric evaluation framework: ROC-AUC should not be used as the primary metric in ultra-imbalanced settings; instead, MCC and F₂ are recommended as primary indicators, supplemented by PR-AUC and H-measure where ranking granularity and principled cost integration are required. This evidence encourages researchers and practitioners to move beyond sole reliance on ROC-AUC when evaluating classifiers in highly imbalanced data.

Abstract: Psoriasis is traditionally defined and treated as a chronic inflammatory immune-mediated disease. In this manuscript, we propose an alternative, integrative model in which psoriasis isprimarily a disorder of surface and border tissues driven by disturbed cellular metabolism,with inflammation representing a secondary phenomenon. Psoriasis predominantly manifestsin anatomical border zones, such as skin folds, hairlines, nail beds, and joint surfaces,wherecells depend critically on diffusion- and osmosis-based metabolic processes. These vulnerableregions are highly sensitive to alterations in microcirculation, oxygen delivery, nutrientavailability, and blood composition.We argue that a range of comorbidities and risk factors, including thyroid dysfunction,obesity, hyperhomocysteinemia, smoking, nutritional deficiencies (notably vitamin D and zinc), stress-related vasospasm, and dietary imbalances, may impair mitochondrial aerobicmetabolism in these border cells. This metabolic disruption promotes a shift from aerobicrespiration to anaerobic glycolysis, leading to the accumulation of mitochondrial wasteproducts and crystalline debris, particularly in confined tissue spaces such as joints. We hypothesize that this metabolic debris acts as the primary trigger for the characteristicinflammatory response observed in psoriasis.The dual metabolic and clinical efficacy of fumarates provides key support for this model, asthese agents both restore mitochondrial metabolic balance and alleviate psoriatic inflammation. This observation suggests that inflammation is a downstream consequence ofmetabolic failure rather than the initiating cause of disease. Based on this framework, wepropose that therapeutic strategies should prioritize correction of metabolic dysfunction and associated comorbidities, after which inflammatory manifestations are expected to diminish. Such an approach may not only improve cutaneous and articular symptoms but also reduce psychological burden and social stigma associated with psoriasis.