Search Results (166)

Room acoustics computer models based on geometrical acoustics usually handle the sound reflections by the assumption of plane waves. However, if the sound source is a point source, which is usually the case, the spherical wave reflection would be more correct. An approximate model for the spherical wave reflection is presented, starting with the assumption of an infinite plane. It was found that the errors caused due to the simplified plane wave assumption can be significant, especially for hard surfaces and near grazing incidence. As something new, the gradual transition from a spherical wave to a plane wave approximation was addressed. For sound propagation exceeding 50 times the wavelength, the plane wave approximation was found to be fully justified, but for shorter distances the spherical wave reflection model should be applied. In contrast to previous work on spherical wave reflection, the reflection from a finite-sized surface was studied. For the first time, the spherical wave reflection model was combined with the complex radiation impedance of a finite-sized surface. One interesting application example of the spherical reflection model is the attenuation of sound propagation above the audience area in a performance space. Finally, the extension of the spherical wave reflection model to higher order reflections was addressed. Full article

This study investigates the determinants of borrower repayment intentions in Marketplace Lending (MPL) platforms, focusing on the interplay between behavioural factors and Environmental, Social, and Governance (ESG) awareness in the Hungarian context. A Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was employed to analyze survey responses from 477 participants familiar with MPL platforms. The study integrates constructs from behavioural finance (Perceived Usefulness, Perceived Ease of Borrowing, Theory of Planned Behaviour) and ESG-related factors (Socially Responsible Investment Theory, Reciprocity Theory) to assess their influence on repayment intentions. Perceived Usefulness (PU) emerged as the strongest predictor of Repayment Intention (RI) (β = 0.554, p < 0.001), highlighting the importance of platform functionality. Socially Responsible Investment Theory (SRIT) also had a significant positive impact (β = 0.194, p < 0.01), suggesting that ethical lending practices enhance borrower accountability through reciprocity mechanisms. Conversely, Continuance Intention to Borrow (CIB) and Credit Risk Theory (CRT) showed no significant effects. This study contributes to the literature by bridging behavioural finance, credit risk theory, and ESG principles in FinTech lending, offering a novel framework for sustainable lending practices. Full article

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy worldwide, with molecular heterogeneity complicating early detection and treatment stratification. The insulin-like growth factor (IGF) axis interacts bidirectionally with immune regulatory mechanisms in ways that shape tumor phenotype and therapeutic vulnerability. This review synthesizes evidence on how IGF signaling orchestrates immunosuppression through effects on tumor-associated macrophages, regulatory T cells, and myeloid-derived suppressor cells, while inflammatory cytokines reciprocally modulate IGF bioavailability. Three mechanistic principles emerge: IGF binding protein 2 (IGFBP-2) functions as a central coordinator linking growth factor signaling to immune evasion through STAT3-dependent pathways driving M2 macrophage polarization and regulatory T cell differentiation; IGF–immune crosstalk varies considerably across molecular subtypes, with microsatellite-stable tumors exhibiting high reliance on IGF-I receptor-mediated immune silencing; and local paracrine IGF production increasingly dominates over systemic regulation as disease progresses. These bidirectional connections establish self-reinforcing circuits that determine whether tumors remain immunologically responsive or develop immune exclusion. Multi-marker panels incorporating IGFBP-2 alongside complementary biomarkers have shown improved diagnostic performances for early CRC detection, underscoring the need for the large-scale prospective clinical evaluation of IGF network components as biomarkers for CRC in diverse populations. The convergence of IGF signaling with checkpoint regulation suggests that combined targeting warrants investigation for resistance in tumors lacking effective immunotherapy options. Full article

This paper explores the ethical dimensions of violence in sporting contexts, proposing that violence can be a virtue when characterized by controlled physicality. While society often views violence negatively, the paper argues that within rule-governed sports, certain forms of violence are morally permissible, strategically valuable, and essential to upholding the integrity of the game. Drawing on Suitsian terms and Kantian ethics, the paper develops a theory of lusory violence, distinguishing it from uncontrolled physicality or unmitigated violence. By examining the roles of enforcers in hockey, the development of MMA, and the ethics of sport jiu-jitsu, the paper suggests that violence is acceptable within a lusory framework only when it is purposive, strategically relevant, and constrained by rules that prioritize technical skill over raw damage. Ultimately, the paper argues that the ability to modulate violent behaviour represents a form of moral development, framing virtuous violence as a necessary tool for maintaining natural justice and personal excellence within specific sporting environments. Yet, virtuous violence is subordinate to technique, justice, and other defining elements of sports. Full article

Polyurethane O-ring seals are vital for the service life and sealing reliability of hydraulic systems, yet internal hysteresis heat generation under reciprocating motion causes localized temperature rise, altering contact pressure distribution and impairing sealing performance. This study aimed to clarify the coupled effects of reciprocating motion parameters on O-ring hysteresis heat generation and sealing performance. A unified hysteresis heat generation rate expression was derived by combining the time–temperature superposition principle with the Maier–Göritz model, and the heat source model was integrated into a thermo-mechanically coupled finite element analysis (FEA) framework, validated by matching simulated and experimental temperature rise histories. Under baseline conditions, hysteresis heating causes the O-ring’s peak contact pressure to decrease by approximately 0.4 MPa during the outward stroke. Parametric analysis revealed that elevated operating parameters increase contact pressure to maintain effective sealing, but simultaneously intensify hysteresis heating. Quantitatively, the maximum O-ring temperature was highly sensitive to operating conditions, reaching 63.6 °C at 8 MPa hydraulic pressure, 60.0 °C at a 90 Hz reciprocating frequency, and up to 81.5 °C for a friction coefficient of 0.2. Although the current framework is limited by the exclusion of interfacial frictional heating, it enables the reliable quantitative prediction of thermal loads. Ultimately, this study provides a robust method for assessing sealing safety margins and offers theoretical guidance for the structural optimization of hydraulic sealing systems. Full article

Despite unprecedented political endorsement, nature-based solutions (NbS) consistently fail to achieve the systemic transformation required for climate and biodiversity crises. This implementation deadlock stems from a profound triple strategic gap: a translational evidence gap between fragmented science and actionable design, a strategic design gap in misaligned institutions, and a fundamental theoretical integration gap disconnecting ecological principles from socio-economic solutions. This study forges and validates the symbiosis framework—an interdisciplinary blueprint designed to bridge this triple gap. Employing design science research, we: (1) synthesize ecological theory with institutional economics to distill three core design principles—functional reciprocity, nested modular network architecture, and strategic leverage and foundational support; (2) translate these into a conceptual model and strategic implementation blueprint; and (3) validate the framework through comparative analysis of global NbS case studies. The resulting framework provides a novel translational logic, moving beyond critique to offer a prescriptive design tool. It enables practitioners to diagnose systemic failures and design interventions that emulate ecological intelligence while applying institutional design principles: cultivating reciprocal partnerships, structuring resilient networks through polycentric governance, and strategically targeting catalytic leverage points and foundational assets. We conclude that scaling NbS requires a paradigm shift from managing isolated symptoms to architecting symbiotic systems. The symbiosis framework provides the essential interdisciplinary blueprint for this shift. Full article

System logs generated in IoT-based and sensor-driven cloud environments encode execution traces and complex relationships among services, functions, and data stores. In many IoT deployments, telemetry is pre-processed at the edge and then integrated into backend services (e.g., application servers and databases) for analytics and operations. During this integration, service executions record relational dependencies (e.g., function-to-data-store interactions) as operational logs (or aggregated statistics), which constitute key evidence for operating sensor-driven services. We therefore evaluate TLV using publicly reproducible backend execution logs as a representative backend model and discuss the generality and limitations of this choice. However, most existing retrieval-augmented generation (RAG) approaches remain document-centric, representing logs as flat textual chunks that fail to preserve execution flow and entity relationships, which are critical for diagnosing complex service execution pipelines in sensor-driven cloud backends. In this study, we propose Trace-LogVector (TLV), a relational log representation that transforms system logs into trace-level retrieval units while explicitly preserving execution order and entity interactions. TLV is constructed based on the Chunk as Relational Data (CARD) design principle, which represents execution flows using entity-centric multi-chunk structures rather than single aggregated text chunks. To evaluate the impact of relational log representation, we conduct controlled experiments comparing single-chunk and CARD-based multi-chunk TLV under identical embedding and retrieval settings. Retrieval performance is quantitatively assessed using Hit@5 and Mean Reciprocal Rank at 5 (MRR@5). Experimental results show that the proposed multi-chunk TLV achieves a Hit@5 of 1.000 and an MRR@5 of 0.900, consistently outperforming the single-chunk baseline across all evaluation queries. These findings demonstrate that preserving execution contexts and entity relationships as relational retrieval units is a key factor in improving RAG-based system log analysis for monitoring and diagnosing large-scale sensor networks and cloud systems. Full article

This article investigates how intuition operates when its referent is structurally absent or non-objectifiable. While phenomenology has traditionally linked intuition to fulfilment and object-givenness, a growing range of contemporary experiences, such as climate change, future generations, and technologically mediated processes, resist such modes of presentation in principle. Their absence is not contingent but structural. The article argues that phenomenology can nonetheless account for these experiences by articulating a mode of intuition that does not depend on presentable objects, but arises through mediation, temporal articulation, and responsiveness. Drawing on Husserl’s analyses of intuition and temporality, the first part identifies the limits of object-centred accounts of evidence in contexts characterized by mediation and diachronic dispersion. The second part turns to Levinas, whose account of diachrony and responsibility discloses a relation to the future that is ethically binding without being anticipable or reciprocable. The third part elaborates this insight through Waldenfels’s phenomenology of the alien and of responsiveness, showing how experience is structured by pathos, delay, and asymmetry. Here, intuition without objects appears not as a lack of evidence, but as a specific mode of experiential articulation grounded in interruption and answerability. The article concludes by showing how this phenomenological reconstruction clarifies central problems in contemporary climate ethics, particularly those concerning intergenerational responsibility. It suggests that what is often described as a motivational or institutional deficit can also be understood as a failure to recognize a distinctive intuitive relation to the future, i.e., one that binds without presenting and calls for response despite structural absence. In doing so, the notion of intuition without objects contributes to broader reflections on temporality, responsibility, and ethical agency under conditions of deep temporal asymmetry. Full article

This review proposes mechanical crosstalk between stromal tension and vascular shear/flow as a unifying principle for integrating fibroblast-populated collagen lattices (FPCLs) with perfusable micro-physiological systems (MPSs). We argue that current in vitro platforms either emphasize fibroblast-driven matrix contraction (as with FPCLs) or flow-mediated vascular dynamics (as with MPSs) but rarely consider the reciprocity between these forces. By defining a mechanobiological framework that couples cellular contractility, extracellular matrix (ECM) remodeling, and shear-dependent endothelial responses, we reframe FPCL–MPS hybrids as “living devices” capable of capturing mechano-transduction across stromal and vascular compartments. This review (1) delineates the mechanobiology of FPCLs, highlighting their tension generation, matrix remodeling, and disease relevance; (2) surveys perfusable MPS design principles, focusing on shear stress, barrier function, and multicellular integration; (3) formulates a crosstalk paradigm in which stromal tension and vascular shear coregulate tissue physiology; (4) synthesizes engineering strategies for integrating FPCLs into MPSs; and (5) outlines challenges and future directions involving multiscale measurements, multi-omics, artificial intelligence, and regulatory standardization. To our knowledge, this review is among the first to explicitly frame stromal tension and vascular shear as a unified mechanobiological axis. Full article

Rapid urbanization in the Global South continues to intensify the growth of informal settlements, challenging architectural education to equip students with methods capable of addressing complex socio-spatial, environmental, and ethical conditions. While computational design and service-learning have each been explored within architectural pedagogy, their systematic integration, particularly in the context of informal settlement planning, remains underdeveloped. This article presents a pedagogical framework that combines pattern language theory, shape grammars, and parametric modeling with service-learning principles within an undergraduate architectural design studio. Implemented in ARC 4025 (Architecture Studio 5) at the O’More College of Architecture and Design, Belmont University, the framework guides students in translating empirical observations of an informal settlement in Ahmedabad, India, into rule-based and generative design systems. The methodology emphasizes process–product reciprocity, enabling students to encode settlement patterns as transformation rules that generate, test, and evaluate coherent urban forms across multiple scales. A detailed case study, Community at Scale, is presented as a proof of method, illustrating how analysis is converted into computational logic across dwelling, block, and neighborhood scales. Rather than proposing a finalized solution, the study demonstrates how computational design can operationalize morphogenetic reasoning within architectural education while remaining grounded in social responsibility. The article concludes by discussing pedagogical implications, situating the approach within urban morphology discourse, and outlining limitations and directions for future research. Full article

The ultra-high frequency (UHF)-based partial discharge (PD) detection technology for gas-insulated switchgear (GIS) has achieved large-scale applications due to its high sensitivity and real-time monitoring capabilities. However, long-term service-induced antenna corrosion in UHF sensors may lead to degraded reception characteristics. To ensure the credibility of monitoring data, on-site sensor calibration under ambient noise conditions is required. This study first analyzes the time–frequency domain characteristics of white noise received by UHF sensors in GIS environments. Leveraging the transceiver reciprocity principle of sensors, a noise reconstruction method based on external sensors is proposed to simulate on-site white noise. Subsequently, CST simulation models are established for both standard and degraded sensors, quantifying the impact of factors like antenna corrosion on performance parameters such as echo impedance S11 and voltage standing wave ratio (VSWR). Finally, the two sensor models are coupled into GIS handholes for comparative simulation analysis. Results show that antenna corrosion causes resonant frequency shifts in sensors, reducing PD signal power by 55.27% and increasing noise power by 64.11%. The signal-to-noise ratio (SNR) decreases from −9.70 dB to −15.34 dB, with evident waveform distortion in the double-exponential PD pulses. These conclusions provide theoretical references for on-site UHF sensor calibration in noisy environments. Full article

A reflective all-fiber optical current transformer based on a spatial non-reciprocal phase modulation technique is investigated by theoretical analysis and experimental measurement. The modulation unit, composed of a phase delay wave plate (LiNbO₃) and two Faraday rotators, achieves flexible frequency adjustment by converting modulation from the time domain to the spatial domain. Therefore, the avoidance of the impact caused by delay coils is achieved in principle. The absence of intrinsic frequency limitations eliminates the demand for precise timing control in demodulation, thereby simplifying the demodulation circuit and reducing the cost and size of the transformer. In previous studies, redundancies were identified in the optical path coupling devices. The half-wave voltage of the modulator is excessively high, and its size is considerable due to constraints inherent in the manufacturing process. The measurement range is within 1800 A. The scheme simplifies some optical path components. By optimizing the phase delay wave plate, the half-wave voltage of the modulator is significantly reduced by a factor of 150. Experimental results demonstrate that the current transformer exhibits excellent detection consistency within the rated current range of 30–3600 A (1–120%), the response time is within 3 ms, and the measurement error and peak error reach 0.052% and 0.127%. This configuration provides a novel option for the design and practical application of all-fiber optical current transformers. Full article

To address the limitations of optical interferometry (strict environmental requirements, high cost) and piezoelectric methods (hysteresis, creep) in micro-displacement measurement, this study proposes a collaborative measurement approach based on the parallel plate capacitance principle—with its core innovation lying in integrated optimization rather than original principles. Unlike existing studies that separately optimize mechanics, hardware, or algorithms, this work achieves the first synergy of three components: a mechanical coupling mechanism (integrating a high-resolution optical mount and a micrometer) for parallel plate regulation, a 21-bit capacitance detection module based on the STM32-PCAP01 (with a resolution of 0.0001 pF), and a linear response model relating capacitance to the reciprocal of displacement. Experimental validation confirms its engineering feasibility for sub-nanometer-level precision: with a 10 cm plate radius and 3–20 mm initial spacing, the system achieves 277.215 ± 0.244 pF·mm sensitivity and <0.05 μm displacement resolution. The relative error of micro-displacement measurement in the 10 μm range is less than 1.56%. Based on the hardware resolution, the system possesses the theoretical capability to detect displacements as low as 10⁻⁸ to 10⁻⁹ m. Compared to laser interferometry, it operates stably in common industrial environments without vibration isolation or darkrooms, reducing costs by ~90% while maintaining comparable accuracy. This cost-effective solution enables online precision measurement in semiconductor manufacturing and MEMS testing, with its multi-physics collaborative design offering a new paradigm for intelligent sensor development. Full article

Dementia disrupts communication not only as a cognitive process but as a relational practice, leaving people living with dementia (PLwD) at risk of exclusion when language fragments. This study examines how communication closeness, the felt sense of being understood, emotionally attuned, and socially connected, might be supported through Research in and through Design (Ri&tD). Drawing on formative mixed-reality studies and a participatory co-design workshop with PLwD, caregivers, and stakeholders, we iteratively developed a series of playful artifacts culminating in Neighbourly, a tactile board game designed to support relational interaction through rule-based, multimodal play. Across this design genealogy, prototypes were treated as Living Counter-Maps: participatory mappings that made patterns of gesture, rhythm, shared attention, and material engagement visible and discussable. Through iterative interpretation and synthesis, the study identifies three guiding principles for designing for communication closeness: supporting co-regulation rather than correction, enabling multimodal reciprocity, and providing a shared material focus for joint agency. The paper consolidates these insights in the Living Counter-Maps Framework, which integrates counter-mapping and Ri&tD as a methodological approach for studying and designing relational communication in dementia care. Full article

AI-generated phishing emails present a growing cybersecurity threat, exploiting human psychology with high-quality, context-aware language. This paper introduces a novel two-stage detection framework that combines deep learning with psychological analysis to address this challenge. A new dataset containing 2995 GPT-o1-generated phishing emails, each labelled with Cialdini’s six persuasion principles, is created across five organisational sectors—forming one of the largest and most behaviourally annotated corpora in the field. The first stage employs a fine-tuned DistilBERT model to predict the presence of persuasion principles in each email. These confidence scores then feed into a lightweight dense neural network at the second stage for final binary classification. This interpretable design balances performance with insight into attacker strategies. The full system achieves 94% accuracy and 98% AUC, outperforming comparable methods while offering a clearer explanation of model decisions. Analysis shows that principles like authority, scarcity, and social proof are highly indicative of phishing, while reciprocation and likeability occur more often in legitimate emails. This research contributes an interpretable, psychology-informed framework for phishing detection, alongside a unique dataset for future study. Results demonstrate the value of behavioural cues in identifying sophisticated phishing attacks and suggest broader applications in detecting malicious AI-generated content. Full article