Integration Strategy Research Articles

Video-Wise Just-Noticeable Distortion Prediction Model for Video Compression with a Spatial–Temporal Network

Just-Noticeable Difference (JND) in an image/video refers to the maximum difference that the human visual system cannot perceive, which has been widely applied in perception-guided image/video compression. In this work, we propose a Binary Decision-based Video-Wise Just-Noticeable Difference Prediction Method (BD-VW-JND-PM) with deep learning. Firstly, we model the VW-JND prediction problem as a binary decision process to reduce the inferring complexity. Then, we propose a Perceptually Lossy/Lossless Predictor for Compressed Video (PLLP-CV) to identify whether the distortion can be perceived or not. In the PLLP-CV, a Spatial–Temporal Network-based Perceptually Lossy/Lossless predictor (ST-Network-PLLP) is proposed for key frames by learning the spatial and temporal distortion features, and a threshold-based integration strategy is proposed to obtain the final results. Experimental results evaluated on the VideoSet database show that the mean prediction accuracy of PLLP-CV is about 95.6%, and the mean JND prediction error is 1.46 in QP and 0.74 in Peak-to-Noise Ratio (PSNR), which achieve 15% and 14.9% improvements, respectively.

On-chip high-dimensional entangled photon sources

Abstract High-dimensional quantum entanglement is an important resource for emerging quantum technologies such as quantum communication and quantum computation. The scalability of metres-long experimental setups limits high-dimensional entanglement in bulk optics. Advancements in quantum technology hinge on reproducible, and reconfigurable quantum devices — including photon sources, which are challenging to achieve in a scalable manner using bulk optics. Advances in nanotechnology and CMOS-compatible integration techniques have enabled the generation of entangled photons on millimeter-scale chips, significantly enhancing scalability, stability, replicability, and miniaturization for real-world quantum applications. In recent years we have seen several chip-scale demonstrations with different degrees of freedom including path, frequency-bin, time-bin, and transverse modes, on many material platforms. A complete quantum photonic integrated circuit requires the generation, manipulation, and detection of qudits, involving various active and passive quantum photonic components which further increase the degree of complexity. Here, we review and introduce the nonlinear optical processes that facilitate on-chip high-dimensional entangled photon sources and the currently used material platforms. We discuss a range of current implementations of on-chip high-dimensional entangled photon sources and demonstrated applications. We comment on the current challenges due to the limitations of individual material platforms and present future opportunities in hybrid and heterogeneous integration strategies for the next generation of integrated quantum photonic chips.

Recent Advances and Innovations in SAP S/4HANA Cloud and SAP BTP and SAP AI: Integration Strategies and Latest Developments

This article presents a comprehensive analysis of recent advancements and integration strategies in SAP S/4HANA Cloud and SAP Business Technology Platform (BTP), examining their combined impact on enterprise digital transformation. The article explores the architectural evolution of these platforms, focusing on their core components, integration frameworks, and deployment flexibility across on-premises, cloud, and hybrid environments. Through detailed examination of industry-specific implementations in retail, healthcare, and manufacturing sectors, the article demonstrates how organizations leverage these platforms to achieve operational excellence and innovation. The article investigates the technical infrastructure of SAP BTP, including its Platform-as-a-Service capabilities, development environments, and artificial intelligence integration, while evaluating the business intelligence and analytics capabilities that enable real-time decision-making. Special attention is given to the commercial models and economic implications of adopting these technologies, including consumption-based and subscription pricing strategies. The article concludes by identifying emerging trends and future developments, providing valuable insights for organizations planning or executing their digital transformation initiatives. This comprehensive article analysis reveals how the integration of SAP S/4HANA Cloud and BTP creates a robust foundation for enterprise innovation, while highlighting critical considerations for successful implementation and adoption.

Generative Artificial Intelligence (GenAI) in Business: A Systematic Review on the Threshold of Transformation

This systematic review examines the transformative potential of Generative Artificial Intelligence (GenAI) across diverse sectors, including information technology, education, manufacturing, creative industries, healthcare, transportation, management, marketing, finance, energy, law, media, agriculture, and e-commerce. By analyzing its applications, the study highlights how GenAI enhances efficiency, fosters innovation, and addresses sector-specific challenges. Key benefits include the automation of complex processes, optimization of resource use, and acceleration of decision-making. However, delayed adoption risks such as workforce displacement and ethical dilemmas are also discussed. The review identifies critical barriers like data privacy concerns, algorithmic bias, and regulatory challenges. Practical strategies for successful GenAI integration are explored, emphasizing infrastructure readiness, workforce upskilling, and ethical governance. This includes leveraging generative models such as Generative Adversarial Networks (GANs), Transformer-based models, Variational Autoencoders (VAEs), and diffusion models to adapt to industry-specific demands. Furthermore, the study underscores the necessity of balancing technological advancements with responsible AI deployment to minimize risks and maximize societal benefits. By synthesizing existing research, this review provides actionable insights for stakeholders aiming to leverage GenAI's transformative capabilities responsibly. It emphasizes the urgency of adopting GenAI technologies to maintain competitiveness and sustainability in rapidly evolving markets. As the study concludes, it advocates for cross-sectoral collaboration to address the complex challenges posed by this paradigm-shifting technology and calls for adaptive policies to align innovation with ethical principles and societal values.

Natural Products as Modulators of Aryl Hydrocarbon Receptor Signaling in Atopic Dermatitis Management

Atopic dermatitis (AD) is a chronic inflammatory skin condition characterized by immune dysregulation, skin barrier dysfunction, and a significant patient burden. Recent studies have highlighted the aryl hydrocarbon receptor (AhR) as a promising therapeutic target for AD management because of its pivotal role in modulating immune responses and maintaining skin barrier integrity. The dysfunction of the AhR pathway has been linked to AD pathogenesis, emphasizing the need for therapies that can restore its regulatory functions. Natural products have emerged as potential modulators of the AhR and are effective and safe alternatives to conventional treatments. Compounds such as curcumin, resveratrol, quercetin, and microbial metabolites have demonstrated the ability to activate AhR, reduce inflammation, and promote skin barrier function. These natural agents have fewer side effects and enhance patient compliance compared with conventional therapies, making them attractive candidates for long-term AD management. The integration of natural products targeting the AhR pathway provides a multifaceted approach that alleviates symptoms, addresses underlying disease mechanisms, and promotes sustainable improvements in skin health. This review highlights the therapeutic potential of natural AhR modulators and their potential roles in enhancing patient outcomes through novel integrative treatment strategies.

Renewable Energy in India: An Overview and the Path towards Sustainable Development

The utilization of natural and energy resources began to manifest in the 19th century. Throughout the 20th century, energy usage escalated significantly. Currently, around 80% of global energy consumption is derived from the extraction of fossil fuels, including oil, coal, and gas. Renewable energy has grown increasingly vital as the world confronts the issue of alleviating the adverse effects of climate change and diminishing reliance on finite and polluting fossil fuels. Utilizing renewable energy sources is acknowledged as a crucial element in advancing sustainable development, which seeks to fulfill the requirements of the current generation without jeopardizing future generations. India, akin to other developing nations, is endeavouring to implement various strategies to guarantee a cheap and accessible energy supply for its socioeconomic and political sectors in pursuit of renewable energy advancement. India's Renewable Energy Goals stipulate an objective of attaining 500 GW of installed capacity by 2030. This study aim is to examine the several sources of renewable energy, including solar, wind, hydropower, geothermal, and biomass, to facilitate sustainable development in India. Strong policy support with stable and predictable regulations, effective grid integration strategies to manage variable renewables, dedicated funding for research and development, and strong public engagement are key findings to successfully implement the state-level renewable energy. Setting aggressive renewable energy capacity installation targets, easing grid integration through transmission infrastructure expansion, and offering financial incentives like subsidies and tax benefits are significant recommendations for India to promote renewable energy.

Monetised sustainability impacts of integrated planning in the manufactured construction products industry: A transport perspective from New Zealand

<p style="text-align: justify;"><span style="font-size: 14pt; font-family: 'times new roman', times, serif;">The extensive, interdisciplinary nature of construction supply chains make them prone to inefficiencies at organisational interfaces. Inefficiencies are accentuated by the project-centric delivery paradigm, and complex logistics systems between multiple stakeholders. They manifest as a multitude of concurrent activities, processes, and systems both on and off-site. Transportation is the largest component of the logistics domain. Transport operations are inherently fragmented, intrinsic to every business, while vehicle ownership and deployment is typically externalised. Differentiated waste removal and materials delivery further disintegrate the already fragmented construction supply chain. Inefficiencies from the insularity of the planning process across segmental boundaries aggregate incrementally, with impacts visible at the macro level. Re-configuration of activities, resources and actors are acknowledged strategies for optimising logistics and transportation function. This paper investigates the impact of three integration strategies on a manufactured construction products supply chain efficiency. These strategies include vertical integration of distribution, integrated planning for transport operations, and integration of reverse logistics into operations. Sustainability impacts are evaluated according to domestically determined monetary parameters in order to benchmark performance at the business and national scale.</span></p>

Multi-scale monitoring and safety assessment of a prefabricated subway station integrating space-borne InSAR, ground-based machine vision and internal-distributed fiber optic sensors

ABSTRACT Safety monitoring of prefabricated subway stations is essential for early detection of potential damages to mitigate major accidents. This study developed an integrated multi-scale safety assessment and monitoring strategy for a prefabricated subway station by combining space-borne synthetic aperture radar interferometry (InSAR), ground-based machine vision, and internal-distributed fiber optic sensing (DFOS) technologies. Compared to the traditional single-data-source-monitoring method, the proposed space-ground-internal integration strategy is designed to monitor the multi-scale damages of prefabricated subaway stations. This includes the mm level of ground subsidence, submm level of structural surface deformation, and microstrain level of structural internal strain field. Taking the prefabricated Shapu Station in Shenzhen as the research site, the spatiotemporal evolution of land subsidence, the underground structural settlement and convergence deformation, as well as the structural internal strain changes were monitored. Then, a multi-scale data fusion methodology combining the space-borne InSAR, the ground-based machine vision, and the internal DFOS measurements was presented for effective safety assessment of the subway station. The monitoring results indicated that deformation occurred during the backfill period, and the settlement of the dangerous assembly ring increased (the seventh ring was at the lowest safety level) when the backfill of the assembly section was completed.

Utilization and Challenges of Using ICT at SPM Al-Mashduqiah: Perception of English Teachers

The use of technology in English learning is becoming increasingly crucial to achieve optimal learning outcomes. This study aims to explore teachers' perceptions regarding the use and challenges of using Information and Communication Technology (ICT) in English learning at SPM Al-Mashduqiah. Using a qualitative method with a case study type, this study focuses on the perception of English teachers in the school as the subject of the study. Data were obtained through semi-structured interviews, observations, and documentation, which were then analyzed using a descriptive approach to describe and interpret the teacher's experiences and views in detail. The findings reveal that teachers have been utilizing ICT in various aspects of English learning, including the use of learning apps, interactive videos, and online platforms for assignments and evaluations. However, teachers face several challenges, such as limited facilities, lack of technical training, and resistance to changes from traditional teaching methods. Teachers' perceptions of ICT utilization vary; most view ICT as a tool capable of increasing student engagement and learning effectiveness, while others feel burdened by the need to master new technologies in their use in English learning. The study concludes that although the use of ICT in English learning at SPM Al-Mashduqiah has great potential to improve the quality of education, further efforts are needed to address existing challenges, including increased facility support and ongoing training for teachers. These findings are expected to provide valuable insights for policymakers and education practitioners in designing effective strategies for ICT integration, making an English learning more enjoyable and effective.

Promising candidate drug target genes for repurposing in cervical cancer: A bioinformatics-based approach

Cervical cancer is the fourth most common cancer among women globally, and studies have shown that genetic variants play a significant role in its development. A variety of germline and somatic mutations are associated with cervical cancer. However, genomic data derived from these mutations have not been extensively utilized for the development of repurposed drugs for cervical cancer. The objective of this study was to identify novel potential drugs that could be repurposed for cervical cancer treatment through a bioinformatics approach. A comprehensive genomic and bioinformatics database integration strategy was employed to identify potential drug target genes for cervical cancer. Using the GWAS and PheWAS databases, a total of 232 genes associated with cervical cancer were identified. These pharmacological target genes were further refined by applying a biological threshold of six functional annotations. The drug target genes were then cross-referenced with cancer treatment candidates using the DrugBank database. Among the identified genes, LTA, TNFRSF1A, PRKCZ, PDE4B, and PARP were highlighted as promising targets for repurposed drugs. Notably, these five target genes overlapped with 12 drugs that could potentially be repurposed for cervical cancer treatment. Among these, talazoparib, a potent PARP inhibitor, emerged as a particularly promising candidate. Talazoparib is currently being investigated for safety and tolerability in other cancers but has not yet been studied in the context of cervical cancer. Further clinical trials are necessary to validate this finding and explore its potential as a repurposed drug for cervical cancer.

Disaggregated effects of artificial intelligence, online and mobile banking on customer satisfaction in banks: An analysis using structural equation modelling

In the Fourth Industrial Revolution (4IR) era, the rapid digitalisation of services poses both opportunities and challenges for the banking sector. This study addresses how adopting artificial intelligence (AI) and online and mobile banking advancements can influence customer satisfaction, particularly in Kaduna State, Nigeria. Despite significant investments in AI and digital banking technologies, banks often struggle to align these innovations with customer expectations and satisfaction. Using Structural Equation Modeling (SEM), this research investigates the impact of customer satisfaction with online banking (C_O) on AI integration (I_A) and mobile banking convenience (C_M). The SEM model reveals that customer satisfaction with online banking significantly influences AI integration (path coefficient of 0.40) and mobile banking convenience (path coefficient of 0.68). These results highlight a crucial problem: while technological advancements in banking are growing, their effectiveness is highly dependent on customer satisfaction with existing digital services. The study underscores the need for banks to prioritise enhancing online banking experiences as a strategic lever to improve AI integration and mobile banking convenience. Consequently, the research recommends that Nigerian banks develop comprehensive frameworks to evaluate and optimise their technology integration strategies, ensuring that technological innovations align with customer needs and expectations in the rapidly evolving digital landscape.

Technical, Economic and Environmental Assessment of Xylitol Production in a Biorefinery Platform Toward a Circular Economy

New biobased processes and products are emerging to replace conventional ones in the search for sustainable development. Xylitol is one of the most commercially valuable products from xylan-rich lignocellulosic biomass. Xylitol has multiple applications in the pharmaceutical, food, nutraceutical, and beverage industries. Recent research focuses on obtaining xylose from low-cost lignocellulosic materials through the biological route, optimizing xylitol conversion, improving byproduct removal, and increasing crystallization speed. The biological route can be an environmentally friendly alternative due to the possibility of lower energy demand and utilizing renewable feedstocks which are key factors to reach sustainability. Several integration strategies are being evaluated and are critical to developing a commercial platform. Process integration can considerably reduce the demand for energy and reagents. Also, the value-added products produced alongside xylitol are crucial, and these products are usually energy generation and bioethanol. Further, new value-added products show promising results and are relevant to improving the economic performance of the processes. The market trends of xylitol are expected to reach close to USD 1.5 billion in 2030. In addition, the improvement needed in the conversion steps and obtained yields, producing commercial-scale xylitol through the biological route, is a promising alternative to finding a more sustainable way to produce xylitol.

The Impact of International Education on Chinese Education in the Context of Globalization

With the deepening of globalization, in Chinas educational system, international education (IE) has emerged as a key area for reform and development. This paper aims to explore how to effectively localize IE in China in the context of its flourishing development, in order to adapt to China's national conditions and needs. The paper systematically analyzes the connotation of IE and its development in China and points out the main challenges China faces in promoting IE. The paper focuses on the integration strategy of IE and local education(LE) and puts forward specific localization practice paths. The study finds that by adhering to the development of educational field openness, promoting bidirectional cultural exchange and interaction, firmly upholding cultural confidence, and developing student-international exchange programs, it is possible to effectively promote the deep integration and innovation of IE in China. Finally, the paper summarizes the research findings and looks forward to future trends.

أثر استخدام استراتيجية دمج الأقران في تنمية المهارات الاجتماعية لدى الأطفال التوحديين: دراسة تجريبية على عينة من طلاب صف التوحد بمدرسة الحد الابتدائية للبنين

This study aimed to investigate the effect of using the peer integration strategy in developing social skills in autistic children, by answering the following main question: What is the effect of using the peer integration strategy in developing social skills in autistic children? To answer the main study question included in the context of this study, the researcher in this study followed the quasi-experimental approach that relies on studying the phenomenon as it exists in reality, and is based in its original construction on experimental application; to obtain data from its primary sources through a questionnaire that was designed according to the scientific steps approved in this regard, as it was applied to the study community consisting of all autism students registered in government schools in the Kingdom of Bahrain in the academic year 2022/2023 AD, numbering (106) male and female students according to official statistics issued by the Ministry of Education in the Kingdom of Bahrain. By selecting (5) autism students registered at Al-Hadd Elementary School for Boys in the academic year 2022/2023, with mild and moderate autism, and selecting (5) normal students to play the role of peers, as they were chosen by classroom teachers and subject teachers based on their personal qualities that qualify them to play the role of peers, their high academic level, their activity in school committees and teams, in addition to their personal desire to support the autism class as a deliberate sample for the study. This school was chosen because the researcher works as an assistant director in it, which made it easy for her to implement the experiment easily and smoothly, as well as bypassing many of the administrative matters required by this type of field applications. After ensuring that the study tools met their psychometric characteristics, they were applied to the target sample, and statistical analysis was conducted to extract the results. The results of the study concluded that the performance of the study individuals on the post-measurement items was better than their performance on the pre-measurement items, as the arithmetic mean of their scores on the post-measurement items was (2.72) with a standard deviation of (0.09), while the mean scores of the study individuals after applying the experiment to them on the pre-measurement items was (2.48) with a standard deviation of (0.06). The results of the study also showed that the calculated value of (z) indicates the presence of statistically significant differences at a significance level (@=0.05) in the average scores of the study members related to the effectiveness of the training program in developing social skills in children on the pre- and post-measurement items, meaning that the applied training program affected the performance of the study members.In light of the results reached by the study, it recommends working on training families of autistic children through workshops and training courses and involving them in the design and implementation of educational programs. As well as training autistic children on social skills at an early age to help them rely on themselves in their daily lives.

Reshaping the Irish Economy: The Impact of International Mergers and Acquisitions on the Irish Technology Sector (2021-2023)

Purpose: This dissertation examines the impact of international mergers and acquisitions (M&A) on the Irish technology sector between 2021 and 2023. It aims to assess how M&A activities have reshaped corporate strategies, influenced organizational culture, and contributed to the broader economic landscape, while identifying challenges and opportunities for involved firms. Methodology: A mixed-methods approach was employed, integrating quantitative survey data from technology sector professionals and qualitative insights from structured interviews with senior executives of companies engaged in M&A. The survey captured organizational perspectives on strategic realignment, cultural integration, employee morale, and economic implications. The interviews offered deeper context on leadership decisions, cultural adaptation, and strategic shifts post-acquisition. Findings: The research reveals that successful post-M&A outcomes were strongly linked to strategic realignment toward global expansion, product innovation, and operational efficiency. Firms leveraging M&A synergies experienced improved market positioning, faster innovation cycles, and streamlined operations. However, challenges such as cultural integration and maintaining employee morale were significant hurdles. Ireland's regulatory environment emerged as a facilitator, ensuring smooth transitions and compliance, although increased global competition posed both challenges and growth opportunities for local firms. Unique Contribution to Theory, Policy, and Practice: This study advances academic discourse by highlighting the interplay between strategic realignment, cultural integration, and regulatory frameworks in post-M&A success. It provides actionable recommendations for technology firms to optimize integration strategies and for policymakers to maintain a supportive yet competitive regulatory environment. The findings also lay the groundwork for future longitudinal studies and cross-industry comparisons to deepen understanding of M&A dynamics.

An Analysis of the Connection between Type 2 Diabetes and Heart Failure

Type 2 diabetes (T2D) and heart failure (HF) are two of the most prevalent chronic conditions worldwide, both of which contribute significantly to global morbidity and mortality rates. Individuals with T2D are at a 2-5 times higher risk of developing HF. At the same time, a substantial proportion of patients with HF also suffer from diabetes, introducing complex clinical challenges that complicate the management of both conditions. This article explores the links between T2D and HF, with a particular focus on shared pathophysiological mechanisms, risk factors, and clinical implications. Through a systematic literature review of peer-reviewed studies, this research identifies and critically evaluates the common pathways that contribute to the development and progression of both conditions, such as insulin resistance, chronic inflammation, and obesity-induced lipotoxicity. Additionally, the study discusses the impact of these mechanisms on the heart. It explores the potential for integrated therapeutic strategies aimed at simultaneously managing the metabolic and cardiovascular risks associated with T2D and HF. The findings underscore the importance of a holistic approach to patient care, emphasizing the need for early intervention and targeted treatments that address the dual burden of these interrelated conditions.

Innovative Photovoltaic-Aeration Integration: Enhancing Energy Efficiency and Grid Stability in Wastewater Treatment

Abstract This paper presents a detailed investigation into enhancing the energy efficiency of wastewater treatment plants (WWTPs) by integrating photovoltaic (PV) systems, emphasizing power flow analysis and experimental validation. Recognizing the substantial energy demands of aeration processes in WWTPs, this study proposes an innovative integration of PV panels with aeration tanks. This approach generates renewable energy and optimizes energy use through the thermal interaction between the PV panels and the aeration tanks. Key findings demonstrate a 15% overall increase in energy efficiency and a 5% improvement in PV efficiency due to aeration-induced cooling, along with a reduction in voltage fluctuations by up to 30% during high-demand periods. Additionally, the integration offsets approximately 20% of the WWTP's total energy consumption. The research is structured into two main components: a comprehensive power flow study using DIgSILENT PowerFactory and a laboratory experiment to validate the integration's effectiveness. The power flow analysis evaluates the electrical impact of PV integration on the WWTP's power grid, focusing on scenarios such as load fluctuations, grid disturbances, and the synchronization of PV generation with plant energy needs. The simulation results indicate that the integration significantly enhances the stability and efficiency of the plant's electrical system, reducing reliance on traditional energy sources. Concurrently, a laboratory experiment explored the practical effects of integrating PV systems with aeration tanks. The experiment demonstrated that the cooling effect provided by the aeration tanks leads to increased PV efficiency and notable energy savings. These experimental results align with the simulation findings, confirming the efficacy of this integrated approach. This study introduces a novel methodology for integrating renewable energy technologies into industrial processes, showcasing the potential for significant energy savings and improved operational efficiency in WWTPs. Future research will focus on scaling this integration strategy and assessing its long-term impacts on energy efficiency and wastewater treatment effectiveness.

ACCESS TO EDUCATION FOR ETHNIC MINORITY CHILDREN IN GEORGIA (IMERETI REGION)

For representatives of ethnic minorities living in Georgia, general education and knowledge of the state language is one of the ways of civil integration, which promotes their participation in political and public life. In this process, a special role is assigned to the school. The priorities of teaching the state language for non-Georgian language schools are outlined in various international and local documents, and among them it is important to single out the "State Strategy of Civil Equality and Integration 2015-2020". This document aims to promote civic and political participation of ethnic minorities, encourage and promote cultural diversity, increase access to quality education, and improve proficiency in the state language.Ethnic minorities often face serious threats, discrimination and racism in terms of access to education, which deprives them of the opportunity to exercise the right to education on an equal footing with the majority.

Building electrical load forecasting with occupancy data based on wireless sensing

Building electrical load forecasting, as a necessary foundation for building energy management, is of great significance for building energy efficiency and sustainable urban development. However, the accuracy of forecasting can hardly be guaranteed due to the stochastic nature of occupant behavior. To overcome this challenge, this paper proposes a data fusion-based building electrical load forecasting method with occupancy data obtained by wireless sensing technology. Firstly, a wireless sensing scheme is developed, which utilizes pre-existing wireless devices within the building energy management system (BEMS), offering a cost-effective means of obtaining occupancy information without violating occupant privacy. Moreover, to estimate the pattern of occupant behavior in the entire building, an improved stacked sparse auto-encoder (ISSAE) model is developed, which involves unsupervised feature fusion from information sources of varying significance. Finally, to cope with the time-varying and strongly fluctuating building load, a multi-source data fusion forecasting model based on the ensemble deep random vector functional link (edRVFL) is proposed. This model integrates the contributions of the latest accuracy and diversity through the ranking-based dynamic integration strategy. The effectiveness of the proposed method is validated in a commercial building. The experimental results demonstrate that, compared with the load forecasting scheme without occupancy information, the proposed method can improve the forecasting accuracy on RMSE and MAPE by 13.21% and 14.97%, respectively, while cost-effectiveness and privacy are ensured.

Evaluation of electrolyzed water to control fungal trunk pathogens in grapevine nurseries.

Grapevine producers demand solutions to control fungal trunk pathogens (FTPs) in nurseries. Adopting integrated strategies combining several control methods has been indicated as the best approach to prevent or reduce infections on grapevine propagation material. In recent years, electrolyzed water (EW) has emerged as a sustainable alternative for disinfection. Thus, the objectives of our study were: (i) to determine the effect of EW on the conidial germination and mycelial growth of a wider selection of FTPs associated with different grapevine trunk diseases; and (ii) to evaluate the efficacy of EW to reduce infections caused by FTPs on grapevine planting material during the propagation process in a commercial nursery. In vitro experiments demonstrated the capacity of different EW products to reduce conidial germination and mycelium survival of selected FTPs belonging to different genera and species, even given that the results were variable depending on the type of product, pathogen evaluated and time of treatment. In two different nursery experiments, conducted in 2021 and 2023, EW-treated plants showed lower incidence of Petri and black-foot associated pathogens when compared with the untreated ones, although these differences were statistically significant only in 2023. Moreover, there were no negative effects of the EW treatments regarding the viability of the grafted plants. Our results about the effect of EW against conidia germination and mycelium survival of FTPs, and the results of the nursery trials, suggest that EW could have promising applications in the grapevine nursery process. This treatment could be integrated with other complementary management strategies and also be extended to nurseries of other fruit and nut crops, in which FTPs are currently becoming important emerging diseases. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.