The pivotal role of Entrepreneurship centers in the development of Entrepreneurship Education (EE) is receiving more attention. This study aims to open the “black box” of “how, when, why and what” entrepreneurial mindset and c...
This review presents a process-based decision-making framework for chlorinated vapor intrusion (CVI) mitigation. CVI mitigation refers to the set of engineered strategies aimed at interrupting, attenuating or transforming vapor fluxes before they rea...
This paper explores the concept of evolutionary urban resilience by framing cities as complex, open, and adaptive Social-Ecological-Technological Systems (SETS), shaped by multi-scalar dynamics, systemic uncertainty, and interdependent crises. It cha...
Process-based arts interventions—engaging participants in active embodied creation rather than analysis of completed works—produce more substantive cognitive, emotional, and behavioural change than product-based methods, yet present a sig...
Granular deposition and grading strongly influence pore-space topology and hence hydraulic conductivity in natural and engineered porous media, yet quantitative links between deposition sequence, particle-scale morphology, pore-network descriptors, a...
Psychotherapy is an effective treatment for a wide range of mental disorders, yet treatment outcomes remain highly variable across patients. The emerging field of precision psychotherapy seeks to address this variability by tailoring interventions to...
Globally, the architecture, engineering, construction, and operations (AECO) industry faces rapid urbanization and environmental urgency. However, developing economies often lack the strategic capacity to utilize BIM for sustainable development. This...
Satellite Earth observation (EO) provides global, repeated measurements of vegetation structure and function, yet many variables of primary ecological and societal relevance, such as gross primary productivity (GPP), evapotranspiration (ET), biomass,...
Compound spring floods in cold-continental and semi-arid interiors arise from interacting snowmelt, rain-on-snow events, intense precipitation, and frozen or saturated soils, yet these mechanisms remain poorly synthesized for Central Asia. This revie...
Feature-based approaches have been profusely used in the last decades to incorporate domain-specific knowledge in the design and development of technical systems that, according to the new Concurrent Engineering approaches, involves not only the defi...
Effective asset management is crucial for improving the reliability, resilience, and cost efficiency of distribution networks throughout the asset life cycle. Distribution transformers are among the most critical components, as their failures can cau...
In this work, we present an algorithmic framework that supports a decision process in which an end user is assisted by a domain expert to solve a problem. In addition, the communication between the end user and the domain expert is characterized by a...
Forging represents a very important process in the metal processing industry, for which risk analysis and continuous improvement activities are required in order to satisfy customer requirements regarding product quality and mechanical properties. In...
Prospective environmental and technological assessment of emerging chemical processes is necessary to identify, analyze and evaluate the technologies that are highly imperative in the transition towards climate neutrality. The investigation of the en...
One of the main challenges encountered in the Laser-based Powder Bed Fusion (L-PBF) Additive Manufacturing (AM) process is the fabrication of defect-free parts. The presence of defects severely degrades the mechanical performance of AM parts and espe...
IoT-aware Business Processes (BPs) that exchange data with Internet of Things (IoT) devices, briefly referred to as IoT-aware BPs, are gaining momentum in the BPM field. Introducing IoT technologies from the early stages of the BP development process...
This paper proposes an integrated framework to evaluate Corporate Social Responsibility (CSR) initiatives in peacebuilding settings using the Analytic Hierarchy Process (AHP). The model is structured around six criteria: conflict sensitivity, economi...
This study considers the problem of distinguishing between process and sensor faults in nonlinear chemical processes. An integrated fault diagnosis framework is proposed to distinguish chemical process sensor faults from process faults. The key idea...
Multiple faults in industrial processes may occur simultaneously or successively, leading to abnormal responses distributed across coupled process regions and evolving over time. This paper proposes a Mamba-based multiple-fault detection framework, t...
In this paper, a novel pattern-based method is developed for the generation of optimal schedules for energy-integrated batch process systems. The proposed methodology is based on the analysis of available schedules for the identification of repetitiv...
The increasing decentralization of industrial processes in Industry 4.0 necessitates the distribution and coordination of resources such as machines, materials, expertise, and knowledge across organizations in a value chain. To facilitate effective o...
Climate change and rapid urbanization are intensifying urban pluvial flooding and threatening sustainable urban development. This study proposes a three-stage, four-dimensional framework (TSFD-UPFR) to assess urban pluvial flood resilience across res...
Operating time series data collected and stored in historian must be managed to extract their full potential. Part 1 of this paper proposed a structured way (a sophisticated approach) to process industrial data; this first part explains in detail the...
In recent decades, particularly during the outbreak of COVID-19, businesses organizations have focused on knowledge management processes in order to attain a sustainable competitive advantage by creating human and social capital as strategic leadersh...
Digital twins are digital representations of physical entities that enable real-time updates through data transmission between the physical and virtual domains. Based on a cloud–edge–device framework, this paper investigates methods for r...
Additive manufacturing processes are prone to production errors. Specifically, the unique physical conditions of Laser-Directed Energy Deposition (DED-L) lead to unexpected process anomalies resulting in subpar part quality. The resulting costs and l...
Coordination among multiple interdependent processes and stakeholders and the allocation of optimal resources make enterprise systems management a challenging process. Even for experienced professionals, it is not uncommon to cause inefficiencies and...
This paper develops a procedure for assessing both supply chain processes and strategic criteria in the context of platform-based supply chains, addressing the problem that organizations often invest in digital platforms without a clear understanding...
The recent COVID-19 pandemic outbreak has demonstrated all the limitations of modern healthcare information systems in preventing and controlling pandemics, especially following an unexpected event. Existing approaches often fail to integrate real-ti...
10 March 2021
Environmentally sustainable development is a multidimensional concept that emphasizes the integration of economy, society and environment within a region and the realization of dynamic balance. How to objectively environmentally sustainable developme...
Rural architectural heritage sites in Korea, such as rice mills, breweries, and granaries, face increasing risks of neglect, deterioration, and demolition. Most of these structures are not recognized within formal heritage designation systems, and no...
The growing concern over greenhouse gas emissions has prompted the need for efficient carbon dioxide (CO2) capture technologies. This study focuses on simulating CO2 adsorption using a zinc-based metal–organic framework (Zn-MOF-5). The primary...
The implementation of Building Information Modelling (BIM) in public design processes enhances efficiency, transparency, and sustainability. However, public agencies often encounter significant barriers, particularly regarding organisational and mana...
Named entity recognition (NER) is a fundamental task in natural language processing. Recently, non-traditional nouns (known as complex NER) have increasingly emerged, including long noun phrases and ambiguous names, for example, Birds of Prey (and th...
The intermittent nature of renewable energy sources (RES) restricts their widespread applications and reliability. Nevertheless, with advancements in the field of artificial intelligence, we can predict the variations in parameters such as wind speed...
The challenges of defects in manufacturing and assembly processes in optoelectronic industry continue to persist. Defective products cause increased time to completion (cycle time), energy consumption, cost, and loss of precious material. A complex l...
Conventional subtractive manufacturing methods, such as cutting, often result in material waste and limitations in geometric complexity. To address these challenges, Wire Arc Additive Manufacturing (WAAM), in which components are built through succes...
Electrocoagulation (EC) systems are regaining attention as a promising wastewater treatment technology due to their numerous advantages, including low system and operational costs and environmental friendliness. However, the widespread adoption and f...
Metal–organic frameworks (MOFs) have been the subject of extensive scientific investigation in the last three decades and, currently, they make up one of the types of compounds most studied for their potential application in a wide range of dis...
Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness monitoring and data analysis using various algorithmic techniques have been subjects of intense research. The general aim is to devise effective means of addressi...
Soil erosion and nutrient loss degrade the soil resource base and water quality in dryland agricultural landscapes, yet optimal design of vegetation buffers for soil conservation under intensifying rainfall remains poorly quantified, particularly for...
Faced with the problem of incompatibility between traditional information acquisition mode and spaceborne earth observation tasks, starting from the general mathematical model of compressed sensing, a theoretical model of block compressed sensing was...
This study proposes a novel unified constitutive model that systematically integrates the microstructure evolution and macroscopic stress–strain response during the hot deformation of a Ni-based superalloy. The proposed model incorporates a sui...
Objective feedback is important for improving welding training and reducing dependence on experienced instructors. This study proposes an image-based sensing framework for extracting motion and geometric features from videos acquired using a simple v...
Water resources contamination has a worldwide impact and is a cause of global concern. The need for provision of clean water is becoming more and more demanding. Nanotechnology may support effective strategies for the treatment, use and reuse of wate...
The precise forecast of solar radiation is exceptionally imperative for the steady operation and logical administration of a photovoltaic control plant. This study proposes a hybrid framework (CBP) based on complete ensemble empirical mode decomposit...
This paper proposes a process-aware, tag-based digital identity framework that enhances interoperability while enabling identity unlinkability and selective disclosure across multi-party workflows involving sensitive data. We realize this framework w...
15 January 2020
Timely and secure evacuation of residents during flood disasters or other emergency events is an important issue in urban community flood risk management, especially in vulnerable communities. An agent-based modeling framework was proposed in order t...
This article delineates the outcomes of a comprehensive analysis of occupational conditions in coal mining, focusing on dust exposure. A multifaceted model is proposed for the holistic evaluation of occupational environments, integrating risk assessm...
The developments in the fields of industrial Internet of Things (IIoT) and big data technologies have made it possible to collect a lot of meaningful industrial process and quality-based data. The gathered data are analyzed using contemporary statist...
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