Abstract: Flashbacks are commonly described as intrusive, sensory-dominant episodes in which traumatic material returns with a powerful sense of presentness. Existing accounts have emphasized fear networks, dual representation, disrupted contextualization, and memory reconsolidation. The present manuscript reframes flashbacks as failed processing or integration attempts, understood as nonconscious system-level processing events rather than deliberate efforts. It proposes that sensory-emotional material that remains accessible but insufficiently integrated becomes fertile ground for renewed organization: cue-triggered fragments are activated, contextual-binding systems are recruited, but integration fails when the material cannot be held in a bounded, temporally situated, and cognitively usable form. Under these conditions, reactivation becomes reliving rather than autobiographical assimilation. The model differs from contextualization accounts in emphasis rather than opposition: contextualization theories explain why traumatic memory is vulnerable to present-oriented retrieval, whereas the failed integration model explains why accessible sensory-emotional fragments repeatedly return without becoming organized into temporal, spatial, and autobiographical memory. Hippocampal-contextual systems are hypothesized to participate in binding activated fragments to time, place, sequence, and autobiographical context, but flashbacks occur when those binding operations are destabilized by high activation, weak containment, or loss of executive continuity. The paper defines the core constructs, distinguishes activation from integration, outlines testable predictions, and considers clinical implications for trauma-focused work.

Abstract:

Based on the isomorphic algebraic structures of the 2D Euclidean field of complex vectors V_{ℂ} and the field of complex numbers ℂ, in terms of identical geometric products of the elements of both fields, this paper, in the first three sections, brings the algebraic structure of a 3D field of complex vectors, as well as the corresponding fundamental integral identities in those vector fields. Additionally, in the fourth section, fundamental vector relations are presented, which relate to a compact Hermitian manifold embedded in an ambient 3D field of complex vectors.

Abstract: This study investigates the multi-objective optimization of phase change materials (PCM) in building envelopes for office buildings under sharply continental climate conditions. The study employed simulation modeling with dynamic solutions in EnergyPlus (CondFD algorithm) and the NSGA-II genetic algorithm. During the computational experiments, the optimal values for the PCM melting temperature (24–25°C), layer thickness (15–21 mm), and its position relative to the inner wall surface (10–20 mm) were determined. The results show that a properly selected PCM can reduce annual energy consumption by up to 22% and hours of thermal discomfort by up to 42% compared to a traditional concrete wall. The obtained calculation data can be used by architects and engineers when designing energy-efficient office buildings in regions with a sharply continental climate. As such, these results provide design-oriented practical guidance for integrating PCM into building envelope design to support eidence-based decision-making at early stages of any projects.

Abstract: The present study evaluated the technical feasibility of the artisanal production of eco-friendly paper from sugarcane bagasse discarded at the Cerâmica Wholesale Market in Mozambique. Sugarcane bagasse, rich in cellulose, hemicellulose, and lignin, repre-sents an agro-industrial residue with high potential for reuse within the principles of the circular economy. The production process was carried out through soda pulping using sodium hydroxide (NaOH), followed by washing, grinding, molding, and natural drying of the sheets. The produced samples were analyzed in triplicate for grammage , moisture content, and pH. The results showed an average grammage of 91.67 ± 0.43 g/m², indicat-ing suitable density and potential for artisanal applications and lightweight packaging. The average moisture content was 25.38 ± 0.28%, suggesting high water retention associ-ated with natural drying and fiber porosity, while the average pH of 8.72 ± 0.14 character-ized the material as slightly alkaline and potentially more resistant to aging. These find-ings confirm the feasibility of using sugarcane bagasse as a raw material for eco-friendly paper production, contributing to agro-industrial waste reduction and the sustainable valorization of local resources. Further improvements in the drying process and comple-mentary analyzes are recommended to optimize paper quality.

Abstract: We address regulation of an ethanol-to-hydrocarbon packed-bed reactor (HZSM-5) with input redundancy by combining a centralized multivariable PI controller with Davison-style shaping and a Moore–Penrose control-allocation layer. A one-cell finite-volume model is derived from axial mass and energy balances with Danckwerts boundary conditions and used to identify a rectangular, highly anisotropic steady-state gain matrix G for the two controlled variables—bed temperature T and in-bed concentration C_i—and three manipulated inputs (superficial velocity μ, inlet temperature T₀, and coolant temperature T_c). Because G is ill-conditioned, the allocator employs the pseudoinverse (with Tikhonov regularization and physical scaling) to distribute the PI demand among actuators, while setpoint prefiltering limits proportional kick and back-calculation anti-windup preserves bias-free recovery under amplitude/rate limits. The numerical allocation clarifies actuator roles: T_c provides dominant thermal authority for T, μ primarily shapes residence time for C_i, and T₀ acts as a trim to reduce interaction. Closed-loop simulations show fast, well-damped tracking and zero steady-state error for reference changes. Under constraints, the augmented loop degrades gracefully without offset. Against a temperature-centric SISO PID baseline, the proposed design markedly reduces peaking (start-up overshoot ≈40% with PID) and ringing, with lower total actuator variation. The results position centralized PI with pseudoinverse allocation as an implementation-ready, interpretable alternative to MPC for over-actuated biofuel reactors, offering robust, bias-free performance at low computational cost.

Abstract: After analyzing the behavior of the control object based on linear theory, and calculating the necessary control laws, when implementing systems based on the calculations performed, you may encounter some discrepancies between the reactions received from the real object and the expected ones. The properties of the assembled system, built on real elements, can differ significantly from the calculated ones.So in a stable, according to a linear model, system, undamped oscillations can be observed. A small error in the processing of input actions in the linear model turns out to be much larger or even increases indefinitely. The transient process in a real system can be much longer than in a linear case. An astatic system in a linear approximation can in reality work out actions with a constant steady-state error. The reason for all these phenomena is the discrepancy between the properties of real elements and their linear model adopted in the calculation.

Abstract: Aquatic ecosystems are increasingly affected by anthropogenic pollution, highlighting the need for efficient and sustainable water treatment technologies. Polyvinyl alcohol-co-vinyl acetate (PVA), a water-soluble polymer widely used in industrial applications, has received limited attention for surface water remediation. In this study, a chemically modified PVA was evaluated for the treatment of surface water collected from the Joumine Dam (Tunisia). Physico-chemical and microbiological characterization of water samples from six locations revealed the highest contamination levels at the dam inlet, reflecting a substantial pollution load entering the reservoir. Inlet water was therefore selected to assess treatment performance. Application of the modified PVA led to a 93% reduction in microbial load, accompanied by significant decreases in fluoride concentration, turbidity, and organic matter content. The treatment efficiency is attributed to the combined adsorptive and antimicrobial properties of the modified polymer. These results demonstrate the potential of modified PVA as a simple and effective material for improving surface water quality, with promising implications for drinking water treatment and decentralized water purification systems.

Abstract: Basic Vocational Training (FPB) students face significant learning difficulties in electronics, which leads to a high dependency on the instructor and creates bottlenecks in practical workshops. This study aims to evaluate whether generative artificial intelligence (AI) can act as an effective support tutor during workshop practice to mitigate these issues. To this end, a quasi-experimental design was implemented with Basic Vocational Training students divided into an AI-assisted group and a traditional control group, using pre-test and post-test assessments to measure cognitive progress. The results reveal that the use of AI allows for maintaining performance in conceptual learning despite tasks of increasing difficulty, while significantly increasing students' motivation and perceived autonomy. Although a drastic reduction in the frequency of technical assembly errors was not recorded, AI proved to be an effective support for resolving procedural questions in real-time. It is concluded that the integration of generative AI offers positive implications for Vocational Training, functioning as a supplementary tutor that fosters student independence and optimizes technical classroom dynamics.

Abstract: Loneliness is a growing public health concern among older adults, underscoring the need to better understand the complex interplay of factors associated with it. While technology has the potential to enhance social connectedness, limited attention has been given to discrepancies between desired and actual technology use in daily life. This study examined loneliness, focusing on perceived technology use gaps alongside health-related factors, including depressive symptoms, sleep quality, functional cognition and sensorimotor abilities. Data were collected using an online panel (Panel4All) from 211 adults aged 65–87. Participants completed self-report measures, including the De Jong Gierveld Loneliness Scale, Geriatric Depression Scale (GDS), Pittsburgh Sleep Quality Index (PSQI), Daily Living Questionnaire (DLQ), selected items from the WG-SS Enhanced, and the Daily Technology Use Gap (DTUG) questionnaire. Spearman correlations and structural equation modeling (SEM) were conducted. Loneliness was significantly associated with all variables (r = −0.64 to 0.82, p < .01–.001). The SEM demonstrated good fit (CFI = 0.986, RMSEA = 0.068). Depressive symptoms were significantly associated with loneliness, while perceived technology use gaps mediated associations between health-related factors and loneliness. These findings highlight a shift from focusing on access to technology toward understanding the quality and satisfaction of technology use in daily life.

Abstract: Introduction Posterior cervical fusion is commonly performed for cervical spine instability and fractures. However, dural injury may result in cerebrospinal fluid leakage, pseudomeningocele, and, rarely, hydrocephalus. These complications may lead to substantial neurological deterioration and functional decline. We report a rare case of severe cognitive impairment and dysphagia caused by postoperative CSF leakage–associated hydrocephalus after C1–2 fusion and highlight the role of comprehensive rehabilitation in functional recovery. Case presentation A 67-year-old woman sustained a type III odontoid fracture and was initially managed with halo-vest immobilization. Because of fracture nonunion, posterior C1–2 fusion was performed. One month after surgery, she developed progressive mental status deterioration, confusion, and severe functional impairment. Brain computed tomography revealed progressive hydrocephalus, and cervical spine magnetic resonance imaging demonstrated a large posterior fluid collection consistent with pseudomeningocele. Revision surgery and ventriculoperitoneal shunt placement were performed. However, the patient remained bedridden with persistent vomiting, severe cognitive impairment, dysphagia requiring nasogastric tube feeding, and generalized deconditioning. Three months after revision surgery, her neurological condition stabilized and rehabilitation was initiated. Intensive and individualized rehabilitation, including cognitive rehabilitation, swallowing therapy was implemented. After three months of rehabilitation, the patient demonstrated gradual improvement in cognitive function, swallowing function, and mobility, ultimately achieving independent standing and ambulation using a walker. Conclusion Postoperative CSF leakage–associated hydrocephalus and pseudomeningocele may lead to severe cognitive, swallowing, and functional impairments beyond structural complications alone. Comprehensive, individualized rehabilitation should be considered an essential component of care to maximize neurological and functional recovery.

Abstract: Monthly cane-supply anticipation is critical for harvest scheduling, mill-intake coordination, transport allocation, labor planning, and maintenance organization in vertically integrated sugarcane agroindustrial systems. This study developed an interpretable monthly decision-support framework using twelve years of original institutional records from Compañía Azucarera Valdez S.A., Milagro, Guayas, coastal Ecuador, covering January 2007 to December 2018. The primary endpoint was one-month-ahead monthly cane tonnage, predicted from variables available at the current monthly time point to avoid look-ahead bias. Complementary diagnostic layers were used to characterize recurrent operational states and to interpret monthly energy-saving behavior. A chronological validation design was applied, with 2007–2015 used for model training and 2016–2018 used for independent testing. The full linear and LASSO models achieved the strongest test performance, with R² values of 0.916 and 0.915 and mean absolute percentage errors near 5%, outperforming random forest and ANN/MLP benchmarks. The area-only baseline was weaker, while the no-area model retained predictive capacity, indicating that harvested area was important but insufficient to explain monthly cane tonnage. PCA and k-means clustering identified four recurrent operational states related to production scale, stress, crop quality, and energy-performance conditions. Monthly energy saving showed ceiling-constrained behavior near 40% and was therefore interpreted as a diagnostic indicator rather than a robust forecasting target. Overall, the framework supports transparent monthly planning by combining leakage-aware forecasting, operational-state interpretation, and conservative energy-performance diagnostics.

Abstract: This essay proposes that the impossible of the machine, understood not as the absence of computational functions such as retrieval, comparison, adaptation, or scoring, but as the impossibility of the machine occupying a desiring and situated subject position from which listening and judgement would be its own, is a structural condition that grounds the epistemology of human-machine co-production in specialised domains. Generative AI systems produce what I call, with reference to published groundwork, algorithmic epistemic violence, in four modalities: bibliographic hallucination, displaced attribution, untagged translation, and violence against the learning subject. From that diagnosis I develop four corresponding concepts. The epistemic division of labour distributes cognitive operations among positions whose authority is limited to their domain. The computational après-coup is a non-linear temporality deliberately architected in the absence of an unconscious. Memory as position is the retention of a listening disposition rather than of content. The perspectival coherence audit replaces a claim of certification with a procedure: author-profile instances that have no subject of enunciation perform source-grounded readings from explicitly constructed perspectives and flag apparent coherence and potential inconsistency for human inspection. I distinguish the paradigm of discursive positions with limited authority from the paradigm of generative characters, and argue that conversational fluency can mask the absence of epistemic rigour. The four concepts are proposed as implementation-independent epistemological principles, and I show their materialisation in a co-thinking system for psychoanalytic research, presented as a design demonstration rather than a deployed product. The wager is that recognising the impossible of the machine is at once an epistemic and a clinical stance: a condition of possibility for building responsible systems in domains where epistemic rigour is constitutive of knowledge.

Abstract: Quantum Key Distribution (QKD) is a technology that uses the laws of quantum physics to create secret encryption keys between two people. Its main advantage is that any attempt to spy on the communication automatically disturbs the quantum signals, making eavesdropping detectable. In this work, we introduce a new QKD method called ModPhase-8 (QUEST). Instead of using only a few quantum signal types, our system uses eight carefully designed signal variations created by adjusting the phase between two very short light pulses. These eight signal patterns increase the uncertainty for an eavesdropper and allow more information to be securely encoded in each transmission. On the receiving side, the system adaptively switches between two measurement techniques based on the prevailing channel conditions. This adaptive detection mechanism enhances reliability and helps maintain low error rates even when the communication channel is affected by noise. We provide a mathematical proof showing that the protocol achieves a high level of security, restricting an attacker’s probability of success to less than one in ten billion. Even when practical imperfections such as signal loss, channel noise, or detector inaccuracies are present, the system continues to preserve strong security guarantees. Simulation studies further demonstrate that the proposed protocol maintains low error rates (approximately 1–2% under low-noise conditions, and below 4.1% in standard operating regimes) while efficiently generating secure cryptographic keys across a variety of channel conditions. A rigorous nine-experiment benchmarking study establishes that ModPhase-8 achieves 6.75× noise tolerance, surpassing even the Gaussian-modulated GG02 protocol (4.01×), together with 10× faster finite-key convergence, and exclusive key generation in high-noise regimes where six out of eight benchmark protocols fail entirely. Three additional detector-parameter experiments demonstrate that ModPhase-8 tolerates up to 20.6% higher timing jitter than BB84 (158.8 ps vs. 131.7 ps), sustains key generation at afterpulsing probabilities exceeding 15%, and maintains the highest composite detector figure of merit across six detector-quality axes. The reported secret-key-rate values are computed under a heuristic d-ary entropy approximation applied uniformly to all protocols; a fully rigorous discrete-modulation continuous-variable QKD numerical security analysis, justified here through the explicit construction of the equivalent entanglement-based protocol and source-replacement scheme, is identified as essential follow-up work. Overall, ModPhase-8 offers a practical, scalable, and highly secure framework for next-generation quantum communication networks.

Abstract: The concept of computational sustainability in urban environments emphasizes integrating data engineering, artificial intelligence (AI), and computational techniques to harmonize environmental, social, and economic needs while advancing the United Nations (UN) Sustainable Development Goals (SDGs). A bioelectromagnetically-conscious microenvironment represents an architectural and spatial design approach that incorporates various advanced disciplines to align with natural biological rhythms and regulate electromagnetic (EM) fields, ultimately fostering a balance between human health and environmental well-being. As cities and high-density urban regions are increasingly saturated with EM fields from various sources, the integration of computational sustainability and bioelectromagnetics becomes essential to enhance the occupant experience when interacting with buildings and spaces. This study addresses this EM anthropocene influence by presenting an EM exposure mapping (EMEM) that involves a data acquisition (DAQ), interpolation heatmaps, and machine learning (ML) algorithms for validation and prediction. A case study is conducted on a microenvironment that comprises three buildings on the University of Ottawa campus in Canada. The above correlation between techniques serves as a robust pathway for architects, engineers, and policymakers for promoting designs that are mindful of visualization and management of EM ambient influences. The outcomes serve not only scientific and educational purposes but also bolster adaptive urban design, compliance with safety standards, and building certification systems. All the above aim at fostering smarter and more livable communities and establishing a pathway for advancing EM sustainability.

Abstract: The calcification paradox, where low bone mineral density (BMD) is associated with the development of cardiovascular calcification and vice versa, highlights a complex relationship between skeletal fragility and cardiovascular calcification. Most studies investigating this paradox have focused on older populations, with aging often assumed to be the primary driver, potentially overlooking some critical mechanisms present across different ethnic groups (Black and White population), estrogen in young women and chronic kidney disease (CKD) in children. This review explores the multifactorial nature of the calcification paradox, emphasizing the roles of hormonal status, CKD, and examining how paradox may manifest differently in Black populations and in children with CKD, diverging from the classical paradox, which is low BMD associated with cardiovascular calcification. We suggest that estrogen deficiency is a pivotal factor in women, modulating the receptor activator of nuclear factor kappa-B (RANK)/ its ligand (RANKL)/ osteoprotegerin (OPG) signalling axis and impacting both bone resorption and cardiovascular calcification. In children with CKD, vitamin D deficiency is associated with the calcification paradox, characterised by abnormalities in bone metabolism and microarchitecture alongside cardiovascular calcification. The pattern of this paradox may also be modulated by active vitamin D analogue concentrations. Moreover, ethnic differences further complicate this relationship, with evidence showing that vitamin D metabolism, BMD, and vascular calcification interact differently between racial groups, particularly between Black and White populations. However, these factors-,including disturbances in 25-hydroxyvitamin D (25(OH)D) across ethnic groups, estrogen deficiency in younger women, and CKD in children, do not fully account for the occurrence of the calcification paradox. Other effects, such as inflammation, likely interact with tissue processes in bones and vessels, as well as lifestyle factors, and should be studied in relation to previously identified contributors to help explain the paradox across different age groups.

Abstract: Fundamental physics faces three profound difficulties: ontological incompatibility ($G,c,\hbar$ presuppose different ontological categories), the chasm between continuity and discreteness (classical continuum vs. quantum discreteness), and divergent mathematical languages (differential geometry, Hilbert spaces, renormalization groups). This paper proposes a first-principles axiomatic system for the Cosmic Continuum. A0 asserts: All state changes in the universe arise from energy redistribution; there is no state change without energy change. This axiom replaces Newton's "inertia" as the most fundamental physical assumption—inertia is merely the special case $\Delta E = 0$. Built upon this first principle, the axiomatic system is structured through ontological axioms (A1–A3) as the cornerstone, structural axioms (A4–A7) as the skeleton, dynamical axioms (A8–A12) as the realization, and meta-axioms (A13–A14) as verification. The framework clearly distinguishes mass, energy, and dark mass beings and their corresponding space, time, and dark space dimensions, unified via the New Equivalence Principle (A3). The component (A4) serves as the skeleton, unifying particles and gauge fields into an inseparable tensor product. The scale topos and the $U_{q}(\mathfrak{e}_{8})$ modular tensor category provide the mathematical realization, rigorously capturing the relative continuum (A6) and embedding the Standard Model gauge group. From these axioms we derive: the mirror 2-morphism $M$ is equivalent to CPT; the singularity is a phase boundary from ordinary spacetime to dark space; the singularity flux is quantized as $dN/dt = \mathrm{sgn}(-t)/t_{P}$; dark space entropy $S_{\mathrm{dark}} = k_{B}\ln 2\cdot N$ resolves the black hole information paradox; the mirror cyclic universe predicts $w_{a} > 0$ (dark energy weakens over time), consistent with current DESI/Planck data at $1.3\sigma$; wavefunction collapse is interpreted as a natural projection in the fibred category, with coherent information entering dark space. The framework is fundamentally deterministic (causal): the Born rule probabilities arise from limited access to information stored in dark space, not from intrinsic randomness. Testable predictions include Planck-scale CMB oscillations ($\alpha \approx 0.032$), a gravitational wave background peak at $f_{\mathrm{peak}}\approx 0.2\,\mathrm{Hz}$, and quantum corrections to black hole shadows ($\gamma \approx 0.3$). The core dynamical part is falsifiable: exclusion of $w_{a} > 0$ at $>5\sigma$ etc. would falsify the framework.

Abstract: Soft mechanical inductive sensors are emerging as a promising solution for advanced robotics, healthcare, and wearable devices, offering high precision, adaptability, and environmental robustness. These sensors leverage coil-based designs to achieve resilience against temperature variations, humidity, and mechanical wear, making them suitable for long-term operation in challenging environments. Existing reviews tend to focus on a single aspect of coil-based inductive sensors, thereby lacking a comprehensive, unified analysis of the field. This review addresses this gap by analyzing recent developments in soft mechanical inductive sensors, from theoretical concepts and practical design to their use cases. The review focuses on the working principles, design strategies, fabrication techniques, electronic interfaces, and, finally, the applications of coil-based soft mechanical inductive sensors. Key applications in soft robotics, prosthetics, and haptic devices are examined, highlighting the transformative potential of these sensors across diverse domains. Finally, the review discusses critical challenges, including sensitivity optimization, durability, and environmental interference, and outlines future directions to further advance this promising technology.

Abstract: Despite its long history, bioenergy is far below its potential to deliver more sustainable and inclusive prosperity across the globe. This report extends lessons from California energy and climate policy to show how this can be achieved. Greater attention to circular bioeconomy pathways, including biomass conversion into clean energy and carbon sequestration products, can address fundamental climate, environmental, and socio-economic challenges worldwide.

Abstract: GLAM (Galleries, Libraries, Archives, and Museums) institutions have been making digital collections available for decades. New initiatives to publish, preserve, and reuse data have emerged, with collaborative projects such as Wikidata playing a significant role. This work provides a framework for extracting multimodal collections as data, using Wikidata as the primary source, along with a selection of research scenarios for reusing this data in line with emergent trends in data publication and reuse. Results showed that current trends in data preservation can be achieved through open-source code, cloud services, and collaborative platforms. Future work to be explored includes adopting best practices for provenance documentation and refining reuse scenarios.

Abstract: Background: Persons with disabilities face multiple barriers to accessing HIV services, yet evidence on disability inclusivity within HIV service delivery in Nigeria remains fragmented. This review aimed to identify, map, and synthesise available evidence on disability inclusivity across HIV prevention, testing, treatment, and care services in Nigeria. Methods: An evidence gap review was conducted following Joanna Briggs Institute guidance for scoping reviews and reported according to PRISMA-ScR. Searches were conducted in PubMed/MEDLINE, EMBASE, EMCARE, CINAHL, HMIC, Google Scholar, and relevant grey literature sources from database inception to 1 June 2026. Two reviewers independently screened studies, extracted data, and appraised methodological quality using Joanna Briggs Institute critical appraisal tools. Findings were synthesized narratively and supported by evidence mapping. Results: Ten studies published between 2007 and 2026 met the inclusion criteria. Evidence was concentrated among adolescents with intellectual disabilities (50%) and hearing impairments (30%). Nine studies (90%) focused on HIV prevention, education, and information access, whereas only two studies addressed HIV treatment and care. Key barriers included communication challenges, stigma and discrimination, inadequate provider preparedness, and weak disability-responsive programming. Evidence relating to disability-disaggregated outcomes, HIV treatment, retention in care, and policy implementation was limited. Conclusion: Evidence on disability-inclusive HIV service delivery in Nigeria remains limited and unevenly distributed. Strengthening disability-inclusive policies, accessible services, disability-disaggregated monitoring systems, and implementation research is essential to support equitable HIV service delivery.