A geologic and geomorphologic study aimed at solving some geological and geotechnical problems, regarding the massive seepage of meteoric waters in the coastal cliffs of the Island of Procida (Naples Bay, Southern Italy) composed of both tuffs and loose pyroclastic deposits, has been carried out in the geosites of Terra Murata (Middle Ages village and coastal cliff towards the Corricella Bay) and Centane-Panoramica (coastal cliff facing on the Tyrrhenian Sea).

A detailed geologic and geomorphologic survey has allowed to suggest solutions to the applied geological and geotechnical problems related to the occurrence of massive seepages of waters at the physical interface between pyroclastic rocks and loose pyroclastic deposits, characterized by different density, permeability and porosity and also controlled by a dense network of fractures, involving the pyroclastic deposits cropping out in the selected areas.

Field sampling and geotechnical laboratory analyses have been carried out to calculate the values of main geotechnical parameters of the yellow tuffs cropping out at the Terra Murata Promontory. At the same time, a detailed monitoring of the seepages of waters has been carried out through a detailed geological survey of the tuff outcrops of the promontory. The obtained results have suggested a strong control from both the geomorphologic instability of the coastal cliff and tectonic setting. At the Centane-Panoramica geosite, the geological survey, coupled with geotechnical analyses and standard penetrometric tests, has accordingly evidenced that the geomorphologic instability was mainly concentrated in the sectors of the tuff coastal cliffs facing seawards towards the Tyrrhenian Sea.

The purpose of this study is to examine the experiences of project managers working in the distinct environment of clinical trial organizations as project management changes in dynamic labor markets. The literature emphasizes the changing skill set needed for project managers and stresses the value of cognitive flexibility, interpersonal skills, and lifelong learning. Nonetheless, there is still a great deal to learn about how these dynamics appear in the setting of clinical trial organizations. By investigating project managers’ perspectives and involvement in lifetime learning and skill development inside clinical trial organizations, this study seeks to close this gap. To elucidate the nuances of their professional experiences, 64 project managers were interviewed using a qualitative methodology. Key themes emerged from the thematic analysis, including the importance of interpersonal and personal qualities, the dynamic nature of abilities like creativity and critical thinking, and the strategic application of lifelong learning. The findings add new evidence to the body of knowledge by offering a sector-specific understanding of the lifelong learning needs and skill requirements for project managers in clinical trial organizations. The study emphasizes how crucial it is to continuously learn to improve healthcare outcomes and adjust to industry-specific problems. Contextual implications encompass perspectives for entities seeking to maximize training regimens and augment the flexibility of project management groups in clinical trial environments. This work advances theoretical ideas and practical concerns for lifelong learning and skill development in clinical trial organizations. It also adds subtle insights into a specialized domain to the discourse on project management.

Mangrove forests are vital to coastal protection, biodiversity support, and climate regulation. In the Niger Delta, these ecosystems are increasingly threatened by oil spill incidents linked to intensive petroleum activities. This study investigates the extent of mangrove degradation between 1986 and 2022 in the lower Niger Delta, specifically the region between the San Bartolomeo and Imo Rivers, using remote sensing and machine learning. Landsat 5 TM (1986) and Landsat 8 OLI (2022) imagery were classified using the Support Vector Machine (SVM) algorithm. Classification accuracy was high, with overall accuracies of 98% (1986) and 99% (2022) and Kappa coefficients of 0.97 and 0.98. Healthy mangrove cover declined from 2804.37 km2 (58%) to 2509.18 km2 (52%), while degraded mangroves increased from 72.03 km2 (1%) to 327.35 km2 (7%), reflecting a 354.46% rise. Water bodies expanded by 101.17 km2 (5.61%), potentially due to dredging, erosion, and sea-level rise. Built-up areas declined from 131.85 km2 to 61.14 km2, possibly reflecting socio-environmental displacement. Statistical analyses, including Chi-square (χ2 = 1091.33, p < 0.001) and Kendall's Tau (τ = 1, p < 0.001), showed strong correlations between oil spills and mangrove degradation. From 2012 to 2022, over 21,914 barrels of oil were spilled, with only 38% recovered. Although paired t-tests and ANOVA results indicated no statistically significant changes at broad scales, localized ecological shifts remain severe. These findings highlight the urgent need for integrated environmental policies and restoration efforts to mitigate mangrove loss and enhance sustainability in the Niger Delta.

The integration of Big Earth Data and Artificial Intelligence (AI) has revolutionized geological and mineral mapping by delivering enhanced accuracy, efficiency, and scalability in analyzing large-scale remote sensing datasets. This study appraisals the application of advanced AI techniques, including machine learning and deep learning models such as Convolutional Neural Networks (CNNs), to multispectral and hyperspectral data for the identification and classification of geological formations and mineral deposits. The manuscript provides a critical analysis of AI's capabilities, emphasizing its current significance and potential as demonstrated by organizations like NASA in managing complex geospatial datasets. A detailed examination of selected AI methodologies, criteria for case selection, and ethical and social impacts enriches the discussion, addressing gaps in the responsible application of AI in geosciences. The findings highlight notable improvements in detecting complex spatial patterns and subtle spectral signatures, advancing the generation of precise geological maps. Quantitative analyses compare AI-driven approaches with traditional techniques, underscoring their superiority in performance metrics such as accuracy and computational efficiency. The study also proposes solutions to challenges such as data quality, model transparency, and computational demands. By integrating enhanced visual aids and practical case studies, the research underscores its innovations in algorithmic breakthroughs and geospatial data integration. These contributions advance the growing body of knowledge in Big Earth Data and geosciences, setting a foundation for responsible, equitable, and impactful future applications of AI in geological and mineral mapping.

This article explores the dynamic and complex regulatory landscape of cargo transportation in the United Arab Emirates (UAE). As a critical hub in global trade, the UAE’s approach to cargo transportation not only impacts its economic landscape but also has broader implications for international logistics and trade. When the authors speak about air cargo, a very prominent characteristic comes to mind, that is, the ‘speed’ at which goods are transported from one point to another in a world which is fueled by time-based competition which connects leading suppliers, smaller businesses to consumers within a complicated global supply chain operating within networks. The authors aim to examine the current regulatory framework governing cargo operations, highlighting key events contributing to the growth of cargo transportation in recent years within the UAE, shedding light on the central regulatory bodies and key players in the UAE which contribute to the chain of transporting cargo and shipments in the UAE. This study will also briefly compare the standards applied in the UAE with international norms. It delves into the implications of existing regulations on various facets of trade and logistics, including compliance challenges faced by businesses. The article identifies specific challenges in the regulatory setting, such as safety, environmental considerations and the integration of emerging technologies. Furthermore, it distinguishes between the flexible and rigid aspects of these regulations, analyzing their impact on the industry. Looking ahead, the article forecasts emerging trends and potential shifts in regulatory policies, emphasizing the need for adaptability and forward-thinking in policymaking. The aim is to provide a comprehensive overview of the UAE’s regulation of the cargo transportation landscape. The present study offers insights into its current status, challenges, and future directions, thereby contributing to policy development in this vital sector. New research examining the UAE’s cargo regulations reveals significant gaps that could stall its ambitions of becoming a leading cargo transportation global hub. The study identifies shortcomings in regulations related to cargo transportation in the UAE and its efficiency. These areas, along with potential inflexibility in the current system, pose challenges to the UAE to compete effectively in the time-sensitive world of cargo shipments.

Providing and using energy efficiently is hampered by concerns about the environment and the unpredictability of fossil fuel prices and quantities. To address these issues, energy planning is a crucial tool. The aim of the study was to prioritize renewable energy options for use in Mae Sariang’s microgrid using an analytical hierarchy process (AHP) to produce electricity. A prioritization exercise involved the use of questionnaire surveys to involve five expert groups with varying backgrounds in Thailand’s renewable energy sector. We looked at five primary criteria. The following four combinations were suggested: (1) Grid + Battery Energy Storage System (BESS); (2) Grid + BESS + Solar Photovoltaic (PV); (3) Grid + Diesel Generator (DG) + PV; and (4) Grid + DG + Hydro + PV. To meet demand for electricity, each option has the capacity to produce at least 6 MW of power. The findings indicated that production (24.7%) is the most significant criterion, closely followed by economics (24.2%), technology (18.5%), social and environmental (18.1%), and structure (14.5%). Option II is strongly advised in terms of economic and structural criteria, while option I has a considerable advantage in terms of production criteria and the impact on society and the environment. The preferences of options I, IV, and III were ranked, with option II being the most preferred choice out of the four.