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Found 6374 publications

Faunistic and taxonomic data on arboreal oribatid mites (Acari, Oribatida) from Can Gio Biosphere Reserve, Vietnam

Sergey G. Ermilov Jenő Kontschán V. M. Salavatulin

Publication Name: International Journal of Acarology

Publication Date: 2025-01-01

Volume: 51

Issue: 7-8

Page Range: 530-537

Description:

Eleven species of oribatid mites, belonging to eight genera and seven families, were collected from mangrove trees in the Can Gio Biosphere Reserve, Vietnam. One new species–Cultrobates gioensissp. nov. (Ceratokalummidae)–is described. It differs from all representatives of the genus by the presence of monodactylous legs. A supplementary description of Malaconothrus canopeus (Iglesias, Palacios-Vargas and Mahunka, 2001) (Malaconothridae) is presented, based on Vietnamese materials, along with summarized diagnostic morphological traits. https://zoobank.org/lsid:zoobank.org:pub:5F01722A-71BF-4ED8-9D74-89F2F517A521.

Open Access: Yes

DOI: 10.1080/01647954.2025.2571119

“Tourist attitudes towards SDGS and sustainable development: Evidence from Armenia”

Gayane Tovmasyan Svitlana Bilan Svetlana Dallakyan Aram Hovhannisyan Anushavan Zhamkochyan

Publication Name: Innovative Marketing

Publication Date: 2025-01-01

Volume: 21

Issue: 3

Page Range: 155-170

Description:

The paper aims to explore tourists’ perceptions and behaviors regarding sustainable tourism and sustainable development in Armenia. An online survey method was employed to collect data from 385 domestic tourists in Armenia from July to October 2024, enabling effcient and cost-effective access to a diverse respondent group. The sample size was determined based on a 95% confidence level and 5% margin of error, ensuring statistical reliability. The online format allowed for a broader reach and ano-nymity, making it suitable for exploring tourists’ knowledge of the SDGs, comprehen-sion of sustainable tourism, and willingness to embrace sustainable behaviors. Interestingly, despite only 46% of respondents being explicitly familiar with the SDGs, a significant proportion (64%) demonstrated knowledge of sustainable development, 62% understood sustainable tourism, and 64% believed tourism could positively impact sustainable development. Statistical analysis, specifically the Pearson Chi-Square test, revealed a strong correlation between knowledge of sustainable development and awareness of sustainable tourism, and tourists’ willingness to modify their travel habits and invest in eco-friendly options. Additionally, a sense of environmental responsibility was found to significantly influence the adoption of sustainable practices. Moreover, prioritizing sustainable tourism when selecting destinations strongly correlated with support for sustainable tourism initiatives. While many tourists acknowledged the importance of sustainable tourism, challenges such as limited information and higher costs hindered the adoption of eco-friendly behaviors. To promote sustainable tourism and contribute to achieving the SDGs, the study emphasizes the need for intensified awareness campaigns, accessible sustainable options, and collaborative efforts between the tourism industry, government, and tourists.

Open Access: Yes

DOI: 10.21511/im.21(3).2025.12

A Systematic Review of Life Cycle Assessment Reporting Practices and Transparency for Mono-Crystalline Silicon Photovoltaic Systems

Chew Tin Lee Kok Sin Woon Zhen Xin Phuang Kyle Sebastian Mulya Hong Sheng Loh Petar Sabev Varbanov

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 122

Issue: Unknown

Page Range: 97-102

Description:

Mono-crystalline silicon (mono-Si) PV modules account for around 70 % of global c-Si production, making robust environmental assessments essential. Life Cycle Assessment (LCA) is widely used for this purpose, yet inconsistent data reporting limits transparency and comparability. While prior reviews have explored environmental impacts and parameter trends, none have systematically evaluated reporting quality in mono-Si PV LCAs. To address this, the current review conducted a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided review of 32 mono-Si PV LCA studies published from 2019 to 2024. Each was assessed using the ISO 14040/14044 framework and IEA guidelines, with a focus on key elements such as functional unit, system boundary, data sources, software, characterization models, and data quality analysis. The review applied both a descriptive summary of common practices and a grading rubric to evaluate reporting transparency. Results reveal major inconsistencies, with fewer than half of the studies meeting international standards. This underscores the urgent need for harmonized reporting protocols in mono-Si PV LCA literature.

Open Access: Yes

DOI: 10.3303/CET25122017

Waste Management Policy in Four ASEAN Countries: Emerging Contemporary Issues from Research Works

Lóránt Dávid Al Fauzi Rahmat Zoltán Bujdosó

Publication Name: Forum Geografi

Publication Date: 2025-01-01

Volume: 39

Issue: 2

Page Range: 274-291

Description:

Southeast Asia faced an urgent waste crisis, particularly in Indonesia, Malaysia, Thailand, and the Philip-pines, threatening severe environmental, ecosystem, and public health consequences. Without a comprehensive waste management policy, conditions deteriorated significantly. This research explored waste management policy studies with a bibliometric lens in four Southeast Asian countries: Indonesia, Thailand, Malay-sia, and the Philippines. Using the Scopus database, powered by the VOSViewer software and the biblio-metrix-R studio package, this research provided a precise visualization. The findings revealed that four countries exhibited an upward yet fluctuating trend in publication output, with Indonesia emerging as the leading contributor in recent years. Furthermore, most documents studied by scholars, the highest impact documents, and most documents in journal sources were also discussed. Two affiliates in Malaysia were the leading affiliates, followed by two affiliates from Thailand. Moreover, environmental science and social science were areas of interest for scholars. Term network trajectory mapping and thematic maps were comprehen-sively included. In sum, Indonesia fought hard against plastic waste to minimize climate change, while Malaysia focused on addressing waste emissions and household waste. The Philippines sought to raise awareness about the microplastic problem in the ocean and promote public awareness of waste management. Thailand requires attention to financing waste management equipment, implementing environmentally friendly solutions, and revising waste management rules. Its implications underlined a new complex of waste issues in Southeast Asia, requiring adapted strategies and solutions to address each country’s waste challenges and concerns. Current research contributed to the existing state-of-knowledge by providing disaggregated views of national waste management policy in those countries. It also highlighted key potential future hotspots for targeted interventions and resource allocation; thus, future policies and collaborations in waste management might have become more effective and impactful.

Open Access: Yes

DOI: 10.23917/forgeo.v39i2.10086

Resurgent Africa: A Socialist Past, a Multipolar Present: Introduction

Adam Mayer

Publication Name: International Critical Thought

Publication Date: 2025-01-01

Volume: 15

Issue: 2

Page Range: 153-166

Description:

Africa’s 20th century national liberation heroes and African Marxist thinkers have identified Africa’s predicament as one of neo-colonialism. Political experiments in Africa during the Cold War had built on the revolutionary experiences of China (in Mauritania, Ghana, Zambia, Tanzania, Zimbabwe, Uganda, Guinea, Guinea-Bissau, Mali, Sudan, Somalia, and Benin) and the USSR (in Ethiopia, Sudan, Ghana, the African National Congress in South Africa, Angola, Mozambique, Congo Brazzaville, and Madagascar). China’s opening up in the late 1970s, as well as the painful Soviet re-capitalisation in 1991, ushered in the world’s “unipolar moment.” The “Washington consensus” and its neoliberalism destroyed Africa’s potential, deindustrialized the continent, and, with INGO (international non-government organization) conditionality and donor dominated relationships, looted Africa’s primary resources and agricultural produce for Western corporate benefit while perpetuating ineffectual aid systems for the continent’s people. The 1990s brought genocidal wars and the near-disappearance of African statehood, while raw materials found their way to the Global North at giveaway prices. Twenty years of renewed African engagement with China altered this framework in a decisive way: the Belt and Road Initiative has helped rebuild Africa’s infrastructure; China has become Africa’s number one direct capital investor; FOCAC (Forum on China-Africa Cooperation) has strengthened win-win relationships; and China has played a role in building common security with Africa.

Open Access: Yes

DOI: 10.1080/21598282.2025.2511108

Spectral Analysis of the Lateral Dynamics of Road Vehicles †

David Jozsa Dániel Pup György Istenes Gergo Igneczi József Bokor

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In this paper, a time domain and a spectral analysis of the lateral dynamics of a Lexus passenger car are presented. Measurements were made of the vehicle’s lateral acceleration and steering angle. The aim of the measurements is to understand the vehicle’s lateral dynamics during different cornering maneuvers. For this purpose, part of the measurements is performed with a driver and the other part with autonomous control. The data processed and analyzed in this research can be used to determine the nature of the lateral dynamics, which is essential to establishing a mathematical relationship between the measured signals. This will allow the identification and modeling of vehicle dynamics, which is key to the development and optimization of autonomous vehicle control systems.

Open Access: Yes

DOI: 10.3390/engproc2025113063

Reducing Train Delays with Machine Learning-Based Predictive Maintenance for Railways

Dragan Pamucar Ali Heidari Mohammad Khalilzadeh

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-01-01

Volume: 8

Issue: 2

Page Range: 265-284

Description:

The railway network constitutes a vital component of public transportation in many countries, serving millions of passengers and transporting significant volumes of freight. Nevertheless, a persistent challenge within this system is the frequent occurrence of train delays, which arise from diverse causes and result in financial losses, passenger dissatisfaction, and diminished trust among users. Consequently, enhancing operational efficiency and minimising delays has become a central objective for transportation planners and policymakers. In addressing this issue, the present study applies machine learning algorithms (MLAs), specifically multilayer perceptron (MLP) neural networks and the adaptive neuro-fuzzy inference system (ANFIS), to predict potential defects in railway vehicles and improve maintenance and repair strategies within the Iranian railway network. The findings reveal that ANFIS achieves superior predictive accuracy. Building on this, a mathematical model in combination with the Particle Swarm Optimization (PSO) algorithm was developed to optimise train allocation across stations and generate schedules aimed at reducing delays. The employed algorithms proved to be highly effective for predictive maintenance and repair of railway vehicles, ultimately contributing to delay reduction within the railway system.

Open Access: Yes

DOI: 10.31181/dmame8220251514

ROS 2-Based Framework for Semi-Automatic Vector Map Creation in Autonomous Driving Systems †

Erno Horváth Barham Jeries Barham Farraj Abdelrahman Alabdallah

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

High-definition vector maps, such as Lanelet2, are critical for autonomous driving systems, enabling precise localization, path planning, and regulatory compliance. However, creating and maintaining these maps traditionally demands labor-intensive manual annotation or resource-heavy automated pipelines. This paper presents an ROS 2-based framework for semi-automatic vector map generation, leveraging Lanelet2 primitives to streamline map creation while balancing automation with human oversight. The framework integrates multi-sensor inputs (LIDAR, GPS/IMU) within ROS 2 to extract and fuse road features such as lanes, traffic signs, and curbs. The pipeline employs modular ROS 2 nodes for tasks including NDT and SLAM-based pose estimation and the semantic segmentation of drivable areas which serve as a basis for Lanelet2 primitives. To promote adoption, the implementation is released as an open source. This work bridges the gap between automated map generation and human expertise, advancing the practical deployment of dynamic vector maps in autonomous systems.

Open Access: Yes

DOI: 10.3390/engproc2025113013

Steering System Modification for Autonomous Test Vehicles and the Measurement of Steering Geometry †

Zoltan Pusztai László Illés Orova Máté Kapocsi

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

This study presents the development and implementation of an electronically actuated steering system in a Formula Student Driverless race car, aiming to support autonomous driving capability. A DC motor with a belt-drive mechanism was integrated into the original steering rack assembly without altering its core mechanical characteristics. The research also includes a validation of the steering geometry using both physical measurements and CAD simulations. The objective of this measurement is to determine the steering angle as a function of the steering wheel input angle, ensuring that the resulting data accurately informs vehicle dynamics models such as the kinematic bicycle model. These steps form the basis for closed-loop control integration in the autonomous driving platform.

Open Access: Yes

DOI: 10.3390/engproc2025113067