Reon Yoshida¹, Keiko Ono^2,*, Kentaro Ohki³, Takuya Futagami²

Journal of Quantum Computing, Vol.8, pp. 123-144, 2026, DOI:10.32604/jqc.2026.086882 - 07 September 2026

Abstract Quantum machine learning (QML) has attracted significant attention for its potential to accelerate computation and improve efficiency, particularly through quantum feature maps that may enable the separation of data not linearly separable in classical spaces. Although this capability remains largely theoretical, it represents a promising direction for addressing complex learning tasks. However, current quantum devices suffer from low error tolerance and a limited number of qubits, which has spurred interest in hybrid quantum–classical approaches. One such application is EEG-based emotion recognition, which involves complex, nonlinear signals and substantial inter-subject variability. While prior studies have applied… More >

Chirag Devendrakumar Parikh^*

Journal on Big Data, Vol.8, pp. 11-26, 2026, DOI:10.32604/jbd.2026.077330 - 07 September 2026

Abstract Sensors and large-scale measurement systems generate continuous data streams used in industrial monitoring, IoT analytics, and decision-making. However, sensor drift, undocumented maintenance, environmental stress, and component variability often degrade the integrity and reliability of collected measurements. This study proposes a compliance-integrated data integrity framework that combines hardware qualification records, traceability documentation, lifecycle validation checkpoints, and automated anomaly detection methods. The framework introduces five integrity layers that link sensor characterization with statistical filtering and compliance-driven verification. To validate feasibility, a proof-of-concept simulation was conducted using drift-injected sensor datasets. Results show that integrating compliance metadata improve anomaly More >

Yunfeng Xu¹, Weitao Chang^2,*

Journal of Psychology in Africa, Vol.36, No.4, pp. 741-750, 2026, DOI:10.32604/jpa.2026.079589 - 31 August 2026

Abstract This study investigates the factors and mechanisms underlying multilingual identity construction among Malagasy undergraduates. A mixed-methods survey design was employed with 226 Malagasy university students (mean age = 22.56 years; female = 65.49%). Data were collected using questionnaire measures and a multilingual Visual Analogue Scale. These data were analysed using structural equation modeling, and participants’ explanations were coded to capture subjective interpretations. The results showed that language experience and language beliefs were identified as primary predictors of multilingual identity. Self-concept and emotional factors showed additional contributions. Community beliefs were not directly associated with identity outcomes More >

Zongzheng Jiao¹, Shuaikang Yang¹, Junlong Yin¹, Shaohui Wang², Minpo Jung^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.087218 - 04 September 2026

Abstract Hydro-mechanical (HM) simulations of porous-media systems—such as those used in geotechnical engineering, groundwater flow, formation consolidation, and underground-structure safety assessment—become computationally expensive when large material- and load-parameter spaces must be explored for design optimization, uncertainty quantification, or real-time decision support. Although data-driven surrogate models can accelerate such analyses, it remains unclear whether explicitly conditioning a history-based predictor on physical parameters offers a meaningful advantage over learning directly from the temporal evolution of the physical fields. This study systematically benchmarks five physical-parameter conditioning strategies—token concatenation, feature-wise linear modulation (FiLM), weak FiLM, adaptive instance normalization (AdaIN), and… More >

Baocheng Shi^1,2,*, Minyi Yang², Zhibin Wang¹, Qing Yuan², Jiang Bian², Yajun Deng², Kai Liu²

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.087023 - 04 September 2026

Abstract This study investigates the erosion behavior of metal mesh sand-control screens under representative operating conditions and develops an empirical model for predicting erosion rate and screen service life. Single-layer metal mesh screens were tested using a Multifunctional Spin Hydrodynamics (MSH) rotating apparatus under systematically varied liquid velocity, sand concentration, and particle impact angle. The influence of each operating parameter on erosion was quantified using a one-factor-at-a-time experimental design, while the underlying wear mechanisms were characterized by scanning electron microscopy (SEM) and optical microscopy. The results show that liquid velocity is the dominant factor controlling erosion, More >

Hong Qi¹, Jun Zhang^1,*, Xinyao Hu², Liming Qian¹, Peiyu He^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.086917 - 04 September 2026

Abstract This study presents a novel grooved-tooth rotary cavitation generator (GRCG) and systematically investigates its hydrodynamic cavitation and wastewater treatment response through a combination of three-dimensional transient numerical simulations and experimental validation. The simulations, based on the Realizable k-ε turbulence model and the Zwart-Gerber-Belamri cavitation model, are used to examine the influence of radial clearance (L) and rotational speed (N) on cavitation development. The numerical predictions are validated through Escherichia coli inactivation and Rhodamine B degradation experiments. The results show that decreasing the radial clearance and increasing the rotational speed markedly enhance cavitation intensity. At L = 1 More >

Bo Zhang^1,2,3,4, Guosheng Ai^1,2,3,4, Junlin Wu⁴, Mingyi Zhang^1,2,3,4, Xinqing Zhang^5,*, Cong Li^1,2,3,4, Xuanwei Zhang^1,2,3,4, Na Li^1,2,3,4, Limin Yuan^1,2,3,4

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.086215 - 04 September 2026

Abstract This study investigates the physicochemical characteristics, particle deposition behavior, and plugging mechanisms of produced fluids from drainage-gas recovery wells in high-salinity gas reservoirs, using a representative well from the Tarim Oilfield as a case study for a broad class of production systems affected by liquid-phase pipeline plugging. A comprehensive experimental methodology was adopted, combining physicochemical characterization, filtration and static sedimentation experiments, dynamic deposition tests, scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS), and X-ray diffraction (XRD). This combined experimental approach was employed to identify the dominant deposition mechanisms and determine the particle-size fractions most… More >

Zhuwei Tao, Yanfeng He^*, Hui Xu^*, Shengda Zhang, Zetao Sun, Ying Wu, Peng Li, Xing Shi

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.086018 - 04 September 2026

Abstract This study elucidates the mechanisms governing sand production during multi-thermal fluid huff-and-puff in unconsolidated sandstone heavy oil reservoirs and develops a temperature-pressure coupled prediction model for accurately quantifying sand production. Orthogonal laboratory experiments were conducted on reservoir samples from a representative case (Block X, Oilfield L), to compare the mechanical response and sand production behavior under multi-thermal fluid and conventional steam stimulation. The relative importance of the governing parameters was quantified using analysis of variance (ANOVA), and an exponential prediction model incorporating the coupled effects of temperature and pressure was established. The results reveal that… More >

Sher Afghan Khan¹, Ridwan¹, Abdul Aabid^2,*, Khizar Ahmed Pathan³, Muneer Baig²

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.084998 - 04 September 2026

Abstract This study investigates the influence of a passive cavity flow-control strategy on base pressure in suddenly expanded supersonic flows through computational fluid dynamics (CFD) simulations. The flow configuration consists of a convergent-divergent (CD) nozzle discharging into an enlarged duct with an area ratio of 2.89. Simulations were performed for Mach numbers of 1.2, 1.4, 1.6, and 1.8, while the cavity was positioned upstream of the expansion at cavity locations corresponding to length-to-diameter ratios (L/D) ranging from 0.5 to 2.0 in increments of 0.5. The effects of nozzle pressure ratio (NPR), Mach number, duct length-to-diameter ratio,… More >

Chuang Guan^1,2, Wei Fu³, Guodong Cai¹, Fengling Yang¹, Jiangtao Liu¹, Hangyu Wu¹, Chuantao Wu¹, Chunyu Zhang¹, Ming Gao^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.084304 - 04 September 2026

Abstract Flow maldistribution and local short-circuiting within blast furnace gas fine desulfurization systems can substantially impair desulfurization performance while increasing hydraulic losses and energy consumption. To elucidate the underlying flow mechanisms, a three-dimensional computational fluid dynamics (CFD) model accounting for the pressure variation across the top gas recovery turbine (TRT) was developed to investigate the flow characteristics under both high- and low-pressure operating conditions. Guided by the numerical analysis, an integrated structural optimization strategy, combining inlet deflector plates with the sealing of perforated plates adjacent to partition regions, was proposed. The optimized configuration significantly enhanced flow… More >