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Open Access

Article

10 March 2026

Assessing Community Needs, Stakeholder Collaboration and the Influence of Modernization: A Case Study on Transforming Handloom Practices

This study investigates the need for the adoption of modern handloom tools, including jacquard and warping drums, and evaluates their impact on income generation, production efficiency, market reach, and women’s empowerment in rural areas of Udalguri District, Assam. A purposive sampling method was used to survey 50 households in total. The findings reveal that the jacquard and warping drums significantly reduced the time required for weaving, mitigating weather dependence and improving productivity. Consequently, beneficiaries reported increased income, leading to independent entrepreneurship. The marketing strategies employed included direct market linkage through Civil Society Organizations (CSOs), participation, and connection with buyers to expand market access. Types of products included Silk and Cotton, and most of the products were sold in local markets. Training initiatives have been conducted to enhance product quality and design diversity. Weavers, who previously worked with limited designs, have now adopted innovative patterns to boost product demand. The study underscores the pivotal role of CSOs in hand-holding support, development of marketing linkage, tracking systems, and development of community resource persons (CRPs) through cluster-based training programs. The modern handloom tools play a transformative role in enhancing productivity, income, and market access, while simultaneously empowering women and strengthening rural economies.

Keywords: Modern handloom tools; DWIMU; Rural livelihoods; Empowering rural economies; Cultural heritage; Modernization; Transforming practice
Rural Reg. Dev.
2026,
4
(2), 10008; 
Open Access

Communication

09 March 2026

Detailed Analyses of Light Intensity Dependence to Uncover Multielectron Oxygen-Reduction Mechanism by Platinum-Loaded Tungsten(VI) Oxide

Elucidation of the mechanism of multielectron transfer reactions, such as photocatalytic water oxidation and oxygen reduction, is essential for achieving high efficiency in the utilization of sustainable solar energy. Herein, we demonstrate that photocatalytic oxygen reduction on platinum-loaded tungsten(VI) oxide (Pt/WO3) photocatalyst proceeds predominantly by two-electron transfer pathway under conventional light-intensity conditions. Light intensity-dependence analyses of the acetic acid decomposition reaction revealed the role of the Pt co-catalyst in enhancing overall quantum efficiency. We also report for the first time that the reaction can be initiated even on bare WO3, in addition to Pt, under extremely high light-intensity conditions.

Keywords: Tungsten(VI) oxide; Platinum; Photocatalytic acetic-acid decomposition; Multielectron reactions; Light-intensity dependence; Kinetic model
Photocatal. Res. Potential
2026,
3
(1), 10002; 
Open Access

Article

06 March 2026

Bioeconomy, Green Transition and Environmental Sustainability: The Roccamonfina Area in the Campania Region (Italy)

The paper aims to contribute to planning decisions, policies, strategies, and management of inland areas affected by a protected natural area in the Campania region (Italy). Inland and rural areas, often affected by depopulation and economic decline, can and must be a crucial resource in the ecological transition. At a time when urbanisation is expected to increase, the bioeconomy offers a way to repopulate rural areas, promoting a transition to a more sustainable and inclusive production model and making the best use of the resources already present in the area. A significant example of the circular bioeconomy in action is the Campania region, which has been designated as a hub for a series of European projects currently underway that aim to integrate innovation, sustainability, and social inclusion. In this context, the area chosen is Roccamonfina, a volcanic area that has been inactive for thousands of years, with forests at the top and very fertile foothills. The area, which is part of the province of Caserta, one of the five provinces of the Campania Region (Italy), is characterised by a sparse human presence and by abandonment, in which local communities alone are unable to create conditions for sustainable development. The methodological approach starts from an analysis of the territory and gives priority to landscape, environmental, socio-economic, productive, and cultural characteristics, using a SWOT analysis. This approach aims to define policy scenarios to promote conditions for sustainable development. The results achieved in the study are designed to be scalable to similar areas.

Keywords: Organic farming; Bio-districts; Protected natural areas; Sustainable tourism
Rural Reg. Dev.
2026,
4
(2), 10007; 
Open Access

Article

04 March 2026

Effects of Mid-Infrared Light Intervention on Mood, Executive Control and Autonomic Nervous System Activity in Young Adults with Sub-Clinical Psychological Distress: An Exploratory Randomized Controlled Trial

The purpose of this study was to investigate the effects of Mid-infrared light on executive control functions and autonomic nervous system dysregulation in early adulthood in screen-positive for depression and general psychological symptoms group. The Symptom Checklist-90 (SCL-90) and the Depression Screening Questionnaire (PHQ-9) were administered online to 74 adolescent participants aged 18–22 years. Functional near-infrared brain imaging (fNIRS) was used to test brain function during the Stroop task, and heart rate variability (HRV) devices were used to test the autonomic nervous system. After a two-week Mid-infrared light intervention, subjects showed significant improvement in their depressive symptoms and psychological distress. The mean strength of brain functional connectivity was much more increased in the screening positive group, and significantly decreased after intervention. HRV measure showed significant differences across several indicators: LF, HF, LF/HF, SDNN, and RMSSD between screening positive and health control, and significant improvements in several key indicators: LF/HF, RMSSD, and HF after intervention. This integration of mood, HRV, and functional brain imaging data provides a comprehensive view of Mid-infrared light interventions, which can restore autonomic balance and enhance cognitive efficiency, highlighting its potential as a non-pharmacological approach worthy of further investigation for regulating mood and cognitive function. It is important to underscore that this study is exploratory and hypothesis-generating in nature. The modest sample size from a single population limits generalizability. The lack of pre-registration and the control condition, which did not fully mimic the device’s placebo effect, are notable limitations. Consequently, all findings should be interpreted as preliminary, serving primarily to generate hypotheses and guide the design of more definitive future studies, rather than to inform direct clinical practice. Future research necessitates larger-scale, pre-registered, double-blind, sham-controlled trials to verify these initial observations.

Keywords: Mid-infrared light; Depression; Psychological distress; Autonomic nervous system dysregulation; Functional near-infrared brain imaging
Lifespan Dev. Ment. Health
2026,
2
(1), 10004; 
Open Access

Review

02 March 2026

“What the Meta Is Going On?”—A Scoping Review of the Different Methods and Methodology of Qualitative Synthesis

There is a proliferation of terms that are used to define and describe qualitative methods of review synthesis. These terms can make understanding which approach to use difficult, and the ability to generate operational clarity challenging. This is particularly important for lifespan mental health research, and further research is required that examines and maps the terms and approaches to synthesis. This scoping review aims to map the landscape of qualitative synthesis methods, evaluate the ability to operationalise named methods, explore their philosophical foundations and methodological associations, and consider the application within a specifically identified area of lifespan mental health research. Following PRISMA-ScR guidelines, a scoping review was undertaken. A comprehensive search was conducted across multiple databases and grey literature sources. Articles were included that examined a methodological approach to qualitative synthesis. Data extraction and charting focused on synthesis type, frameworks, philosophical alignment, and operational guidance. Fifty-four articles were identified, and within these, 14 qualitative methodologies were identified, 5 types of aggregative methods, and 10 types of interpretive methods of synthesis. Meta-ethnography, meta-synthesis, and framework synthesis were the most frequently cited methodologies. A subset of these methodologies and methods was found to be the more operationalizable, and these are discussed. The review highlights significant terminological and methodological fragmentation in qualitative synthesis. It underscores the need for clearer guidance, standardised terminology, and stronger links between synthesis methodologies, methods, and philosophical traditions. A decision tree is proposed to support researchers in selecting appropriate synthesis methodologies.

Keywords: Qualitative; Review; Meta-synthesis; Grounded theory; Narrative; Synthesis; Meta; Meta-study; Interpretivist; Aggregative
Lifespan Dev. Ment. Health
2026,
2
(1), 10003; 
Open Access

Article

28 February 2026

Unveiling the Dynamics: How Does the Digital Economy Influence the Development of New-Type Urbanization in China

Digital economy is a vital driving engine for new-type urbanization and continues to promote the regional economy. In this study, it adopts the entropy weight method is adopted to measure the digital economy and new-type urbanization in 31 provinces in China from 2011 to 2021, and conducts an in-depth analysis on the relationship between them. The conclusions are: Digital economy has a significant role in promoting new-type urbanization and is regionally heterogeneous, especially the impact in eastern region; Moreover, through the mediating mechanisms analysis, it indicates that industrial structure and innovation level are important paths to promote new-type urbanization. Along with the increase of R&D intensity, the promotion effect shows a non-linear characteristic of “increasing marginal effect”. In light of this, the following countermeasures are put forward to strengthen digital economy’s impetus for new-type urbanization: promote the gradient development of digital technologies and innovate digital economy application scenarios to fuel new-type urbanization; establish a novel digital-industrial integration model and capitalize on the fundamental role of industrial transformation in new-type urbanization; and refine the innovation system and fully realize the marginal incremental effect of R&D intensity once it crosses the threshold.

Keywords: New-type urbanization; Digital economy; Industrial structure; Innovation systems; R&D intensity
Rural Reg. Dev.
2026,
4
(1), 10006; 
Open Access

Article

28 February 2026

Euclid sUAV Handling Qualities Evaluation Through Flight Simulation, Using Cooper-Harper Handing Qualities Rating Scale

This article briefly presents the design steps, from the conceptual design up to flight simulation of the Euclid 3D printed small Unmanned Aerial Vehicle (sUAV). The use of valid tools and proper methodology implementation is essential throughout this entire path to render the aircraft’s kinematics properly in the flight simulator. The primary object of study in this article is the Euclid sUAV handling qualities evaluation through flight simulation, using Cooper-Harper Handing Qualities Rating Scale. A novel methodology consisting of eighteen flight tests is presented, each one evaluating a certain flight procedure. For each procedure, performing instructions are provided. This methodology can be used either as is, or modified, to evaluate the handling qualities of similar sUAV’s. Furthermore, a full video of the procedure is given for validation and replication purposes. The results from the application of the 18-step procedure for the Euclid sUAV, indicated that all scores fluctuated in the (1–3) score region. These score region is translated as satisfactory handling qualities, without improvement needed to the system, according to Cooper-Harper Handing Qualities Rating Scale.

Keywords: UAV; Handling qualities; Evaluation; Cooper-Harper Handing Qualities Rating Scale
Drones Auton. Veh.
2026,
3
(1), 10005; 
Open Access

Article

25 February 2026

Analysis of Grinding Mechanics and Improved Force Model in Ultrasonic Assisted Grinding Cf/SiC Composites

Grinding is a key precision machining method for achieving high surface quality and dimensional accuracy in carbon fiber reinforced silicon carbide ceramic matrix composites (Cf/SiC). Ultrasonic vibration-assisted grinding (UVAG), with its high-frequency intermittent loading characteristics, offers a novel approach to regulating the dynamic removal behavior of heterogeneous materials. This study firstly analyzed the material removal mechanism of abrasive particles based on abrasive geometry and kinematics. On this basis, mechanical models are developed for a single abrasive grain across three removal stages: ductile removal, ductile-to-brittle transition, and brittle removal. These are further extended into a grinding force prediction model by integrating the effects of multiple abrasive grains and process correction factors during ultrasonic-assisted grinding. Finally, the model is validated through UVAG experiments. Results show that under an ultrasonic frequency of 20 kHz and amplitude of 5 μm, the predicted grinding forces match the experimental values with a high degree of accuracy (98.98%). This grinding force model provides theoretical support and process guidance for high-performance, low-damage precision machining of Cf/SiC composites.

Keywords: Grinding; Ceramic matrix composites; Ultrasonic vibration; Removal mechanism; Grinding force model
Intell. Sustain. Manuf.
2026,
3
(1), 10004; 
Open Access

Article

25 February 2026

Ecological Application of UAVs for Monitoring and Eliminating Oil Product Spills on the Sea Surface

The objective of marine ecological safety necessitates the development of comprehensive, integrated strategies for oil spill management, encompassing advanced monitoring and effective remediation. This paper introduces and validates a novel integrated methodology and conceptual framework for autonomous marine environmental safety. The core of this framework lies in the merging of AI-assisted monitoring capabilities with a multi-agent Unmanned Aerial Vehicle (UAV) system for targeted dispersant delivery. UAV systems, within this methodology, function as a cost-effective and readily deployable operational platform. The study details the primary development stages of the methodology-driven system and presents empirical results from in-situ field trials. The framework leverages artificial intelligence (AI) tools developed and validated for slick monitoring, which execute primary segmentation for spill detection and subsequent secondary segmentation to categorize the slick into thickness uniformity maps. Datasets of actual marine oil slick imagery were compiled to facilitate robust deep learning of the underlying neural network architectures. The study explores scientific feasibility, specifically employing Laser-Induced Fluorescence (LIF) spectroscopy to classify oil product grades and assess the ecological impact of various remediation agents on local phytoplankton communities. This integrated method for spill response is underpinned by successful field validation results. The full methodology was tested during actual oil spill incidents in the waters of Peter the Great Bay from 2019 to 2024. The article presents experimental validation of a new concept and methodology of integrated environmental safety of marine areas by a multi-agent UAV system in the event of oil product spills.

Keywords: Oil product slick; UAV; Monitoring; Elimination; Dispersant; Segmentation; Neural net; Deep learning; AI; Laser induced fluorescence
Open Access

Article

25 February 2026

Evaluating UAS Integration into Geoinformatics: An Operational, Regulatory and Policy Analysis in Greek Geoinformatics Service Providers

The rapid evolution of geoinformatics technologies, particularly through the adoption of Unmanned Aircraft Systems (UAS), has brought significant changes to the collection, processing, and analysis of spatial data. UAS are increasingly integrated into Geographic Information Systems (GIS), remote sensing, and spatial analysis, enhancing efficiency and accuracy in applications such as precision agriculture and infrastructure management. However, limited empirical research has examined the consequences of their integration for operational efficiency, regulatory compliance, and related management practices in the Greek context. This study evaluates how UAS integration into the operations of Greek geoinformatics firms enhances efficiency and supports compliance with Greek and European regulatory frameworks. A qualitative multi-case study methodology is employed across five Greek geoinformatics service providers, and data are collected through semi-structured interviews and secondary sources. Findings indicate that UAS integration improves the quality of spatial data, reduces data collection costs, and facilitates regulatory compliance of these firms. Finally, the study highlights the emergence of optimal operational management policies of UAS including standardized end-to-end workflows, clear role allocation and compliance responsibilities, systematic QA/QC procedures, proactive regulatory monitoring (PDRA/SORA readiness), which strengthen and promote innovative geoinformatics technologies.

Keywords: UAS; GIS; Service providers; Efficiency; Regulatory compliance; Spatial data
Drones Auton. Veh.
2026,
3
(1), 10003; 
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