Siying Li¹, Xinyu Feng², Xin Ma², Hui Huang², Zhipeng Wang², Baolian Liu², Zujun Ding², Weihong Ding², Xiaolong Huang², Jie Ji^2,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.078062 - 18 June 2026

Abstract This study introduces a novel Dual-Stage GT-RO-PCC (Game Theory-Robust Optimization-Price Coupling Control) paradigm to address operational challenges in community-integrated energy microgrids (CIEMs) characterized by multi-energy complementarity and distributed generation. By synergizing strategic interaction mechanisms with uncertainty-aware energy management, the proposed framework establishes a tripartite governance structure integrating microgrid operators, user-side aggregators, and shared energy storage operators. The first stage formulates a Stackelberg game-theoretic model to optimize day-ahead electricity/heat pricing strategies through bilevel optimization, incorporating flexible load management modeling with flexible load disaggregation and carbon emission trading mechanisms. The second stage constructs a two-stage stochastic robust… More >

Kamlesh Paswan¹, Rajnish Singh², Vivekanand Singh³, Brihaspati Singh⁴, Ankur Saxena⁵, Chandrmani Yadav^6,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.080581 - 15 June 2026

Abstract Electrical Discharge Machining (EDM) is governed by highly coupled, nonlinear electro-thermal-mechanical phenomena involving plasma-mediated energy transfer, rapid heat conduction, phase transformation, and resolidification over micro to nanosecond time scales. From a computational materials science perspective, EDM serves as a prototypical problem of extreme, localised energy–matter interaction, where predictive modelling requires rigorous treatment of multiphysics coupling and scale bridging. This review presents a critical synthesis of theoretical and numerical frameworks for modelling advanced EDM configurations, including vibration-assisted and turning-based EDM, powder- and nano-additive-assisted EDM, and alternative dielectric environments. The review consolidates continuum-based formulations that describe the… More >

Junzhe Zhao^1,2, Wencan Zhu^1,3, Qiang Wang¹, Hui Chen², Yan Liu², Kaihong Zheng³, Zhibo Zhang^2,3,*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.078880 - 15 June 2026

Abstract Vacancy defects in graphene are inevitably introduced during the fabrication of graphene-reinforced metal matrix composites through mechanical processing, chemical reactions, or in-service environmental exposure. Despite their prevalence, the precise atomic-scale impact of these vacancies on dislocation motion, strengthening mechanisms, and failure behavior remains incompletely understood. To address this gap, we employ molecular dynamics simulations to construct aluminum-graphene interface models featuring systematically varied vacancy defect concentrations, enabling a detailed investigation of dislocation–interface interactions and the underlying reinforcement and failure mechanisms under shear deformation. Compared to pristine graphene, interfaces containing vacancy defects exhibit significantly enhanced out-of-plane buckling… More >

Ramakrishna Gandi^1,*, Geetha A.¹, Ramasubbareddy B.²

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.077569 - 15 June 2026

Abstract In the fields of affective computing, human-computer interaction, and psychological evaluation, the capacity to recognize emotions is crucial. Unimodal systems in the form of visual systems or of the physiological type are usually not designed to capture the complexity that exists in emotional states. The paper proposes NeuroVision: Multimodal Emotion Recognition System, combining facial video frames information and electroencephalogram (EEG) based information to enhance the accuracy and stability of the system. The system applies ResNet50 on the spatial information of facial expressions, Vision Transformer (ViT) on the temporal movements in the video, and an EEG-MLP… More >

Yalin Aygun^1,*, Sakir Tufekci¹, Goktug Norman¹, Burak Canpolat², Fatma Hilal Yagin³, Sacide Tufekci⁴, Cemil Colak⁵, Burak Yagin⁵, Huseyin Gurer⁶, Hulya Berktas¹, Emek Guldogan⁵, Matheus Santos de Sousa Fernandes⁷, Đina Škulić⁸, Larisa Draščić Šarinić⁸

International Journal of Mental Health Promotion, Vol.28, No.5, 2026, DOI:10.32604/ijmhp.2026.078673 - 28 May 2026

Abstract Backgrounds: Children’s mental ill health has risen worldwide in recent years, placing increasing emotional demands not only on autistic children but also on their families. A holistic perspective on supportive therapies besides medical treatment is essential. There is a growing need for research and practice that explore equine-assisted therapy through innovative relational frameworks. This qualitative study had two main aims: first, to understand how parents perceived the social and emotional benefits of their autistic child’s involvement in equine-assisted therapy; and second, to explore how parents experienced positive resonance with their child during simultaneous parent–child involvement in… More >

Roshana Mukhtar¹, Chuan-Yu Chang², Muhammad Asif Zahoor Raja^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.079390 - 27 May 2026

Abstract Parkinson’s disease (PD) is a complex neurodegenerative disease associated with the accumulation of α-synuclein, which is linked to the dysfunctional ubiquitin–proteasome system. Fractional calculus has emerged as a powerful tool for modeling complex disease dynamics due to its promising features that inherently capture memory and hereditary effects. This paper presents a fractional-order Proteasome-Fibril interaction model (F-PFIM) for the dynamics of PD, represented by three fractional differential classes, showing concentrations of fibrils (F), proteasomes (P), and proteasome fibril complex (C). The three classes of the F-PFIM collectively make a controlling system that works for the clearance… More > Graphic Abstract

Abdul Ghafoor^1,*, Muhammad Munir^2,*, Khalid Turk¹, Muhammad Tahir³, Umair Riaz⁴, Adnan Mustafa⁵

Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.080990 - 27 May 2026

Abstract Agricultural systems increasingly face interacting abiotic and biotic stresses driven by climate change and soil degradation. Plant performance under such conditions is determined by coordinated networks of functional traits governing resource acquisition, allocation, and defense. These traits also structure plant-associated microbiomes, whose activities influence nutrient cycling, stress buffering, and disease suppression. This review synthesizes current evidence that agricultural nanomaterials enhance crop stress resilience primarily by reprogramming plant functional trait networks and, through them, modulating microbiome dynamics. We analyze how nanomaterial physicochemical properties including size, surface chemistry, dissolution behavior, and redox activity determine their bioavailability and… More >

Xiaoling Wang^1,*, Youyou Wang¹, Longkang Ni¹, Ruoyu Hao², Jiawei Cao¹, Hongfei Zhao¹, Liju Zhou¹

Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.079810 - 27 May 2026

Abstract (1) Purpose: Sustainable forage production requires strategies that accelerate plant regrowth while reducing reliance on synthetic nitrogen fertilizers. This study aimed to evaluate the potential multifunctionality of a plant growth-promoting microorganism, strain S2_8_1, hypothesized to enhance ryegrass regrowth in association with increased rhizosphere nitrification and cytokinin-related plant responses. (2) Methods: Comparative experiments were conducted using S2_8_1 and a cytokinin producing Streptomyces strain (Shan2) under both soil and hydroponic conditions. Treatments were evaluated for biomass production, soil NO₃⁻-N content, nitrification rate, and leaf zeatin riboside (ZR) levels. Multiple linear regression was applied to quantify the relative contributions… More >

Stefano Vecchia¹, Rebecca Chinelli¹, Arianna Orcesi¹, Chiara Citterio², Alessandra Riva¹, Elena Orlandi^3,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.076944 - 21 May 2026

Abstract Objectives: Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer-related mortality and mainly affects older adults, who frequently experience polypharmacy. While systemic therapy may improve outcomes in selected older patients, the use of multiple drugs increases the risk of potential drug–drug interactions (pDDIs). This study aimed to evaluate the prevalence and characteristics of pDDIs in older patients with PDAC receiving first-line systemic therapy and their potential impact on clinical outcomes. Methods: We conducted a retrospective single-center study including patients aged ≥ 75 years with PDAC who initiated first-line systemic therapy between December 2011 and January… More >

Jesús Rosa-Bilbao^*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.080490 - 08 May 2026

Abstract The integration of Internet of Things (IoT) infrastructures with Distributed Ledger Technologies (DLT) remains challenging due to the reliance on complex, tightly coupled back-end systems or centralized oracle services that hinder scalability, maintainability, and trust. This paper introduces a lightweight middleware architecture based on a Low-Code Development Platform (LCDP) that enables flexible and secure IoT-to-blockchain orchestration. We develop a custom workflow extension for the n8n platform that supports direct interaction with smart contracts, thereby removing the need for third-party oracle intermediaries. The proposed system was evaluated in a real-world deployment involving a network of Netatmo More >