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Search Results (394)

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Keywords = displacement surveying

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22 pages, 970 KiB  
Article
From Perception to Practice: Artificial Intelligence as a Pathway to Enhancing Digital Literacy in Higher Education Teaching
by Zhili Zuo, Yilun Luo, Shiyu Yan and Lisheng Jiang
Systems 2025, 13(8), 664; https://doi.org/10.3390/systems13080664 - 6 Aug 2025
Abstract
In the context of increasing Artificial Intelligence integration in higher education, understanding the factors influencing university teachers’ adoption of AI tools is critical for effective implementation. This study adopts a perception–intention–behavior framework to explores the roles of perceived usefulness, perceived ease of use, [...] Read more.
In the context of increasing Artificial Intelligence integration in higher education, understanding the factors influencing university teachers’ adoption of AI tools is critical for effective implementation. This study adopts a perception–intention–behavior framework to explores the roles of perceived usefulness, perceived ease of use, perceived trust, perceived substitution crisis, and perceived risk in shaping teachers’ behavioral intention and actual usage of AI tools. It also investigates the moderating effects of peer influence and organizational support on these relationships. Using a comprehensive survey instrument, data was collected from 487 university teachers across four major regions in China. The results reveal that perceived usefulness and perceived ease of use are strong predictors of behavioral intention, with perceived ease of use also significantly influencing perceived usefulness. Perceived trust serves as a key mediator, enhancing the relationship between perceived usefulness, perceived ease of use, and behavioral intention. While perceived substitution crisis negatively influenced perceived trust, it showed no significant direct effect on behavioral intention, suggesting a complex relationship between job displacement concerns and AI adoption. In contrast, perceived risk was found to negatively impact behavioral intention, though it was mitigated by perceived ease of use. Peer influence significantly moderated the relationship between perceived trust and behavioral intention, highlighting the importance of peer influence in AI adoption, while organizational support amplified the effect of perceived ease of use on behavioral intention. These findings inform practical strategies such as co-developing user-centered AI tools, enhancing institutional trust through transparent governance, leveraging peer support, providing structured training and technical assistance, and advancing policy-level initiatives to guide digital transformation in universities. Full article
(This article belongs to the Section Artificial Intelligence and Digital Systems Engineering)
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37 pages, 23165 KiB  
Article
Leveraging High-Frequency UAV–LiDAR Surveys to Monitor Earthflow Dynamics—The Baldiola Landslide Case Study
by Francesco Lelli, Marco Mulas, Vincenzo Critelli, Cecilia Fabbiani, Melissa Tondo, Marco Aleotti and Alessandro Corsini
Remote Sens. 2025, 17(15), 2657; https://doi.org/10.3390/rs17152657 - 31 Jul 2025
Viewed by 218
Abstract
UAV platforms equipped with RTK positioning and LiDAR sensors are increasingly used for landslide monitoring, offering frequent, high-resolution surveys with broad spatial coverage. In this study, we applied high-frequency UAV-based monitoring to the active Baldiola earthflow (Northern Apennines, Italy), integrating 10 UAV–LiDAR and [...] Read more.
UAV platforms equipped with RTK positioning and LiDAR sensors are increasingly used for landslide monitoring, offering frequent, high-resolution surveys with broad spatial coverage. In this study, we applied high-frequency UAV-based monitoring to the active Baldiola earthflow (Northern Apennines, Italy), integrating 10 UAV–LiDAR and photogrammetric surveys, acquired at average intervals of 14 days over a four-month period. UAV-derived orthophotos and DEMs supported displacement analysis through homologous point tracking (HPT), with robotic total station measurements serving as ground-truth data for validation. DEMs were also used for multi-temporal DEM of Difference (DoD) analysis to assess elevation changes and identify depletion and accumulation patterns. Displacement trends derived from HPT showed strong agreement with RTS data in both horizontal (R2 = 0.98) and vertical (R2 = 0.94) components, with cumulative displacements ranging from 2 m to over 40 m between April and August 2024. DoD analysis further supported the interpretation of slope processes, revealing sector-specific reactivations and material redistribution. UAV-based monitoring provided accurate displacement measurements, operational flexibility, and spatially complete datasets, supporting its use as a reliable and scalable tool for landslide analysis. The results support its potential as a stand-alone solution for both monitoring and emergency response applications. Full article
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13 pages, 592 KiB  
Article
Mental Health, Resilience, and Physical Activity in Civilians Affected by Conflict-Related Trauma: A Cross-Sectional Study
by Gili Joseph
Healthcare 2025, 13(15), 1781; https://doi.org/10.3390/healthcare13151781 - 23 Jul 2025
Viewed by 238
Abstract
Background: Mass casualty events in conflict-affected regions can lead to the displacement of civilians and are often accompanied by substantial psychological and emotional impact on those affected. While physical activity is known to support mental health, the ways in which it relates [...] Read more.
Background: Mass casualty events in conflict-affected regions can lead to the displacement of civilians and are often accompanied by substantial psychological and emotional impact on those affected. While physical activity is known to support mental health, the ways in which it relates to anxiety, resilience, and well-being in conflict-affected populations are still being explored. Objective: This study examined the associations among physical activity, anxiety, resilience, and well-being in evacuees from a conflict-affected zone. We hypothesized that higher levels of intense physical activity would be associated with higher levels of resilience and well-being and lower levels of anxiety. Methods: In this cross-sectional study, 107 evacuees completed an online survey in December 2023. The questionnaire assessed the frequency and intensity of physical activity, generalized anxiety, resilience, and well-being. Participants were categorized by weekly total physical activity levels. Data was analyzed using ANOVA, Pearson correlations, and multiple linear regression. Results: Evacuees engaging in more than three hours of vigorous-intensity physical activity exhibited significantly higher resilience and better well-being compared to those with lower activity levels. Although not statistically significant, the data suggested a possible pattern of lower anxiety among evacuees engaging in higher levels of physical activity. Regression analysis identified higher resilience and lower anxiety as significant predictors of greater mental well-being. Additionally, residing in a community exposed to a higher number of traumatic events was associated with reduced well-being. The overall model explained a substantial portion of the variance in mental well-being. Conclusions: Physical activity, especially intense exercise, is associated with improved mental health and resilience among evacuees, supporting its inclusion in interventions for trauma-affected populations. Full article
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27 pages, 6578 KiB  
Article
Evaluating Neural Radiance Fields for ADA-Compliant Sidewalk Assessments: A Comparative Study with LiDAR and Manual Methods
by Hang Du, Shuaizhou Wang, Linlin Zhang, Mark Amo-Boateng and Yaw Adu-Gyamfi
Infrastructures 2025, 10(8), 191; https://doi.org/10.3390/infrastructures10080191 - 22 Jul 2025
Viewed by 357
Abstract
An accurate assessment of sidewalk conditions is critical for ensuring compliance with the Americans with Disabilities Act (ADA), particularly to safeguard mobility for wheelchair users. This paper presents a novel 3D reconstruction framework based on neural radiance field (NeRF), which utilize a monocular [...] Read more.
An accurate assessment of sidewalk conditions is critical for ensuring compliance with the Americans with Disabilities Act (ADA), particularly to safeguard mobility for wheelchair users. This paper presents a novel 3D reconstruction framework based on neural radiance field (NeRF), which utilize a monocular video input from consumer-grade cameras to generate high-fidelity 3D models of sidewalk environments. The framework enables automatic extraction of ADA-relevant geometric features, including the running slope, the cross slope, and vertical displacements, facilitating an efficient and scalable compliance assessment process. A comparative study is conducted across three surveying methods—manual measurements, LiDAR scanning, and the proposed NeRF-based approach—evaluated on four sidewalks and one curb ramp. Each method was assessed based on accuracy, cost, time, level of automation, and scalability. The NeRF-based approach achieved high agreement with LiDAR-derived ground truth, delivering an F1 score of 96.52%, a precision of 96.74%, and a recall of 96.34% for ADA compliance classification. These results underscore the potential of NeRF to serve as a cost-effective, automated alternative to traditional and LiDAR-based methods, with sufficient precision for widespread deployment in municipal sidewalk audits. Full article
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19 pages, 318 KiB  
Article
Exploring Ukrainian Refugee Women’s Beliefs and Concerns About Healthcare Systems, with a Focus on HPV Immunization Practices: A Mixed-Methods Study on Forcibly Displaced Populations in Romania
by Teodora Achimaș-Cadariu, Andrei Pașca, Delia Nicoară and Dan Lucian Dumitrașcu
Healthcare 2025, 13(14), 1744; https://doi.org/10.3390/healthcare13141744 - 18 Jul 2025
Viewed by 397
Abstract
Objectives: Scarce data are available regarding preventive medicine in forcibly displaced populations especially regarding non-communicable diseases like neoplasia, while even more limited data are available on Ukrainian refugees in Romania. To address this research gap, the present analysis was performed to investigate [...] Read more.
Objectives: Scarce data are available regarding preventive medicine in forcibly displaced populations especially regarding non-communicable diseases like neoplasia, while even more limited data are available on Ukrainian refugees in Romania. To address this research gap, the present analysis was performed to investigate Ukrainian refugee women’s beliefs, attitudes, and opinions towards the Romanian and Ukrainian healthcare system in a comparison model while focusing on the HPV immunization rates and factors influencing the uptake for themselves and their children. Methods: Participants were recruited using the snowball sampling method through their General Practitioner (GP) and a health mediator. Results: In total, 105 women completed the online or physical survey. The mean age was 50 years. In total, 40% of women had not been to a gynecological check-up in 3 or more years, and more than 56% had never been screened. Only four were vaccinated against HPV, and none remembered which type of vaccine was dispensed or how many doses were utilized. The primary hindrances to accessing health services or immunization programs were language barriers, financial burdens, and a lack of information. Respondents’ general distrust of health systems and healthcare workforces were recurrent themes. Relationship status, living arrangements, and previous engagement in screening practices influenced immunization rates. Perceiving the healthcare officials as proactive concerning optional vaccination programs such as HPV immunization and actively receiving recommendations drove respondents to pursue vaccination. Conclusions: This analysis offers a foundational insight into the specific needs of refugee women. It can guide the development of effective public health interventions to improve health outcomes and vaccination rates among Ukrainian refugees in Romania. Tailored preventive campaigns with adequate native language information and prompts from medical experts in designated centers should be deployed to ensure inclusive tactics for vulnerable populations. Full article
19 pages, 298 KiB  
Article
Determinants of Refugee Children’s Self-Perceived Educational Performance: A Comparative Study of Lebanon, Turkey, and Australia
by Maha Shuayb and Mohammad Hammoud
Soc. Sci. 2025, 14(7), 440; https://doi.org/10.3390/socsci14070440 - 18 Jul 2025
Viewed by 548
Abstract
This study investigates how differing educational frameworks across Lebanon, Turkey, and Australia influence the perceived educational performance of Syrian refugee children. The legal status granted to refugees in each country fundamentally shapes their respective education systems’ responses. In Lebanon, refugees are generally classified [...] Read more.
This study investigates how differing educational frameworks across Lebanon, Turkey, and Australia influence the perceived educational performance of Syrian refugee children. The legal status granted to refugees in each country fundamentally shapes their respective education systems’ responses. In Lebanon, refugees are generally classified as temporarily displaced persons, resulting in an emergency-based approach to education for the approximately 500,000 Syrian children present. By contrast, Australia has offered permanent resettlement opportunities to selected Syrian refugees, integrating them directly into mainstream schools. Turkey, meanwhile, has progressively shifted from emergency-based measures to policies oriented toward long-term integration. This research is based on survey data from 1298 Syrian refugee children across the three contexts. Findings from ordered probit regression analyses indicate that, beyond the legal duration of residency and the prevailing educational policy model (emergency versus long-term integration), variables such as the extent of educational segregation, the availability of preparatory and language support programmes, and the socioeconomic status of families are also pivotal in shaping students’ self-perceived academic performance. Full article
(This article belongs to the Section International Migration)
20 pages, 5383 KiB  
Article
Research on Deformation Characteristics and Failure Modes of Tunnel Anchoring in Conglomerate Layers Based on Field Scaled Model Tests
by Zhijin Shen, Menglong Dong, Li Zhang, Aipeng Tang and Xiaokai Li
Appl. Sci. 2025, 15(14), 7743; https://doi.org/10.3390/app15147743 - 10 Jul 2025
Viewed by 203
Abstract
Tunnel anchors are critical for suspension bridge stability, yet their theoretical framework remains underdeveloped, limiting engineering applications. This study addresses this gap through a pioneering 1:12 in situ scaled model test, combining geological surveys, rock mechanics testing, and large-scale experimentation on a Yangtze [...] Read more.
Tunnel anchors are critical for suspension bridge stability, yet their theoretical framework remains underdeveloped, limiting engineering applications. This study addresses this gap through a pioneering 1:12 in situ scaled model test, combining geological surveys, rock mechanics testing, and large-scale experimentation on a Yangtze River bridge case. Key findings include (1) quantified rock mechanics parameters for anchorage conglomerates, (2) load–displacement relationships revealing surrounding rock-dominated failure, and (3) deformation thresholds for anchor integrity. The 1:12 in situ model overcomes lab-scale limitations, providing the first high-fidelity validation of tunnel anchor behavior. The results offer essential design benchmarks, advancing both theory and practice for large-span bridges. Full article
(This article belongs to the Special Issue Rock Mechanics and Mining Engineering)
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26 pages, 6142 KiB  
Article
Development of Structural Model of Fiber Metal Laminate Subjected to Low-Velocity Impact and Validation by Tests
by Burhan Cetinkaya, Erdem Yilmaz, İbrahim Özkol, İlhan Şen and Tamer Saracyakupoglu
J. Compos. Sci. 2025, 9(7), 322; https://doi.org/10.3390/jcs9070322 - 23 Jun 2025
Viewed by 565
Abstract
In today’s aviation industry, research and studies are carried out to manufacture and design lightweight, high-performance materials. One of the materials developed in line with this goal is glass laminate aluminum-reinforced epoxy (GLARE), which consists of thin aluminum sheets and S2-glass/epoxy layers. Because [...] Read more.
In today’s aviation industry, research and studies are carried out to manufacture and design lightweight, high-performance materials. One of the materials developed in line with this goal is glass laminate aluminum-reinforced epoxy (GLARE), which consists of thin aluminum sheets and S2-glass/epoxy layers. Because of its high impact resistance and excellent fatigue and damage tolerance properties, GLARE is used in different aircraft parts, such as the wing, fuselage, empennage skins, and cargo floors. In this study, a survey was carried out and a low-velocity impact model for GLARE materials was developed using the ABAQUS (2014) version V6.14 software and compared with the results of low-velocity impact tests performed according to the American Society for Testing and Materials (ASTM) D7136 standard. This article introduces a novel integrated approach that combines detailed numerical modeling with experimental validation of GLARE 4A FMLs under low-velocity impact. Leveraging ABAQUS, a robust FEM featuring explicit analysis, cohesive resin interfaces, and custom VUMAT subroutines was developed to accurately simulate energy absorption, dent depth, and delamination. The precise model’s predictions align well with test results performed according to ASTM D7136 standards, exhibiting less than a 0.1% deviation in the displacement (dent depth)–time response, along with deviations of 4.3% in impact energy–time and 5.2% in velocity–time trends at 5.5 ms. Full article
(This article belongs to the Section Composites Modelling and Characterization)
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10 pages, 852 KiB  
Article
Correlates of Orthotic Prosthetic User Survey, Performance-Based Outcome Measures and Balance in Lower Limb Prosthesis Users
by John D. Smith and Gary Guerra
Prosthesis 2025, 7(3), 66; https://doi.org/10.3390/prosthesis7030066 - 19 Jun 2025
Viewed by 369
Abstract
Background: This study compared performance-based function and self-report function in lower-limb prosthesis users. Methods: Twenty-two lower-limb prosthesis users (aged 52.1 ± 14.2) were administered the Orthotic Prosthetic User Survey (OPUS) Lower Extremity Functional Status (LEF), Satisfaction With Devices (SWD), alongside the Godin Leisure-Time [...] Read more.
Background: This study compared performance-based function and self-report function in lower-limb prosthesis users. Methods: Twenty-two lower-limb prosthesis users (aged 52.1 ± 14.2) were administered the Orthotic Prosthetic User Survey (OPUS) Lower Extremity Functional Status (LEF), Satisfaction With Devices (SWD), alongside the Godin Leisure-Time Exercise Questionnaire (GLTQ), Timed Up and Go (TUG) test, two-minute walk test (2MWT), and six-minute walk test (6MWT). Body composition and standing postural sway displacement and velocity were also measured. Pearson’s Product Moment coefficients were used to assess relationships between the OPUS and other outcome variables. ANOVAs were used to identify differences in all outcome variables between lower unilateral (LU) and all other (AO) amputees. Results: There was a moderate correlation between LEF and center of pressure (CoP) path length with eyes open (r(19) = −0.43, p = 0.048) and eyes closed (r(19) = −0.43, p = 0.049). While the relationship between LEF and TUG was significant (r(20) = −0.49, p = 0.021), this was not so with SWD and TUG (r(20) = −0.17, p = 0.456). Both the 2MWT (r(20) = 0.48, p = 0.023) and 6MWT (r(20) = 0.47, p = 0.028) were moderately correlated with LEF. GLTQ was significantly correlated with LEF (r(20) = 0.70, p = 0.001). The LU group outperformed the AP group during the TUG and 6MWT (p < 0.05). LU group scored significantly higher on LEF compared to the AO group (p < 0.05). The reliability of LEF between the measurement on day 1 (54.3 ± 12.0) and day 2 (53.6 ± 12.8) was high (α = 0.94). Conclusions: This study provides an insight into associations of balance and self-reported function in lower limb prosthesis users. Future work can target rehabilitation strategies to address challenges faced by multiple limb prosthesis users. Full article
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16 pages, 1456 KiB  
Article
Informing Disaster Recovery Through Predictive Relocation Modeling
by Chao He and Da Hu
Computers 2025, 14(6), 240; https://doi.org/10.3390/computers14060240 - 19 Jun 2025
Viewed by 345
Abstract
Housing recovery represents a critical component of disaster recovery, and accurately forecasting household relocation decisions is essential for guiding effective post-disaster reconstruction policies. This study explores the use of machine learning algorithms to improve the prediction of household relocation in the aftermath of [...] Read more.
Housing recovery represents a critical component of disaster recovery, and accurately forecasting household relocation decisions is essential for guiding effective post-disaster reconstruction policies. This study explores the use of machine learning algorithms to improve the prediction of household relocation in the aftermath of disasters. Leveraging data from 1304 completed interviews conducted as part of the Displaced New Orleans Residents Survey (DNORS) following Hurricane Katrina, we evaluate the performance of Logistic Regression (LR), Random Forest (RF), and Weighted Support Vector Machine (WSVM) models. Results indicate that WSVM significantly outperforms LR and RF, particularly in identifying the minority class of relocated households, achieving the highest F1 score. Key predictors of relocation include homeownership, extent of housing damage, and race. By integrating variable importance rankings and partial dependence plots, the study also enhances interpretability of machine learning outputs. These findings underscore the value of advanced predictive models in disaster recovery planning, particularly in geographically vulnerable regions like New Orleans where accurate relocation forecasting can guide more effective policy interventions. Full article
(This article belongs to the Special Issue Machine Learning and Statistical Learning with Applications 2025)
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13 pages, 629 KiB  
Article
Axis I of DC/TMD in Diagnosis of Temporomandibular Disorders in People with Multiple Sclerosis—Preliminary Reports
by Martyna Odzimek, Hubert Lipiński, Piotr Dubiński, Marek Żak and Waldemar Brola
J. Clin. Med. 2025, 14(12), 4338; https://doi.org/10.3390/jcm14124338 - 18 Jun 2025
Viewed by 433
Abstract
Background: The primary objective of our preliminary study was to estimate the prevalence of temporomandibular disorders (TMDs) in people with multiple sclerosis (MS). Furthermore, we aimed to investigate whether there is a correlation between the presence of TMDs and the level of MS-related [...] Read more.
Background: The primary objective of our preliminary study was to estimate the prevalence of temporomandibular disorders (TMDs) in people with multiple sclerosis (MS). Furthermore, we aimed to investigate whether there is a correlation between the presence of TMDs and the level of MS-related disability. Methods: The study was conducted at two centers in Poland dealing with the treatment of MS between March 2025 and April 2025. The study used an original survey questionnaire, the European Academy of Craniomandibular Diseases (EACD) questionnaire and the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD). The study group included people with multiple sclerosis, while the control group consisted of healthy people without neurological deficits. The study group was examined using the following methods: the McDonald criteria and the Expanded Disability Status Scale (EDSS). Results: The study involved 90 people (45 in both groups). The majority of the study participants were women (80.0%), aged 20–30 years (51.1%) and people living in small towns (51.1%). The largest number of patients with MS were noted with RRMS (75.5%). The duration of the disease was on average 3.3 ± 2.4, and the EDSS score was on average 2.5 ± 1.5. People from the study group significantly (p ≤ 0.05; ES = 0.52–0.86) reported TMDs more frequently based on EACD (pain on opening the mouth: 86.7%; facial pain: 57.8%; joint locking: 28.9%; headaches: 75.3%). The diagnosis of TMDs was confirmed in 40.0% of people with MS and 11.1% of healthy volunteers (p ≤ 0.05). Patients most frequently reported muscle pain and disk displacement with reduction (p ≤ 0.05). The disability score in the MS group did not exhibit differences in the occurrence of TMDs (p > 0.05). Conclusions: The study showed that TMDs are more common in people with multiple sclerosis. The degree of disability did not differentiate the occurrence of TMDs. The authors intend to expand research on the influence of potential risk factors on the occurrence of TMDs in people with multiple sclerosis. Full article
(This article belongs to the Section Dentistry, Oral Surgery and Oral Medicine)
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24 pages, 158818 KiB  
Article
Reconstruction of Cultural Heritage in Virtual Space Following Disasters
by Guanlin Chen, Yiyang Tong, Yuwei Wu, Yongjin Wu, Zesheng Liu and Jianwen Huang
Buildings 2025, 15(12), 2040; https://doi.org/10.3390/buildings15122040 - 13 Jun 2025
Viewed by 882
Abstract
While previous studies have explored the use of digital technologies in cultural heritage site reconstruction, limited attention has been given to systems that simultaneously support cultural restoration and psychological healing. This study investigates how multimodal, deep learning–assisted digital technologies can aid displaced populations [...] Read more.
While previous studies have explored the use of digital technologies in cultural heritage site reconstruction, limited attention has been given to systems that simultaneously support cultural restoration and psychological healing. This study investigates how multimodal, deep learning–assisted digital technologies can aid displaced populations by enabling both digital reconstruction and trauma relief within virtual environments. A demonstrative virtual reconstruction workflow was developed using the Great Mosque of Aleppo in Damascus as a case study. High-precision three-dimensional models were generated using Neural Radiance Fields, while Stable Diffusion was applied for texture style transfer and localized structural refinement. To enhance immersion, Vector Quantized Variational Autoencoder–based audio reconstruction was used to embed personalized ambient soundscapes into the virtual space. To evaluate the system’s effectiveness, interviews, tests, and surveys were conducted with 20 refugees aged 18–50 years, using the Impact of Event Scale-Revised and the System Usability Scale as assessment tools. The results showed that the proposed approach improved the quality of digital heritage reconstruction and contributed to psychological well-being, offering a novel framework for integrating cultural memory and emotional support in post-disaster contexts. This research provides theoretical and practical insights for future efforts in combining cultural preservation and psychosocial recovery. Full article
(This article belongs to the Section Construction Management, and Computers & Digitization)
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22 pages, 4328 KiB  
Article
Geophysical and Remote Sensing Techniques for Large-Volume and Complex Landslide Assessment
by Paolo Ciampi, Massimo Mangifesta, Leonardo Maria Giannini, Carlo Esposito, Gianni Scalella, Benedetto Burchini and Nicola Sciarra
Remote Sens. 2025, 17(12), 2029; https://doi.org/10.3390/rs17122029 - 12 Jun 2025
Cited by 1 | Viewed by 1029
Abstract
Landslides pose significant risks to human life and infrastructure, driven by a complex interplay of geological and hydrological factors. This study investigates the ongoing slope instability affecting the village of Borrano, in Central Italy, where large-scale landslides are triggered or reactivated by extreme [...] Read more.
Landslides pose significant risks to human life and infrastructure, driven by a complex interplay of geological and hydrological factors. This study investigates the ongoing slope instability affecting the village of Borrano, in Central Italy, where large-scale landslides are triggered or reactivated by extreme rainfall and seismic activity. A multidisciplinary approach was employed, integrating traditional geological surveys, direct investigations, and advanced geophysical techniques—including electrical resistivity tomography (ERT) and seismic refraction tomography (SRT)—to characterize subsurface structures. Additionally, Sentinel-1 interferometric synthetic aperture radar (InSAR) was employed to parametrize the deformation rates induced by the landslide. The results reveal a complex geological framework dominated by the Teramo Flysch, where weak clayey facies and structurally controlled dip-slopes predispose the area to gravitational instability. ERT and SRT identified resistivity and velocity contrasts associated with shallow and depth sliding surfaces. At the same time, satellite-based synthetic aperture radar (SAR) data confirmed persistent slow movements, with vertical displacement rates between −10 and −24 mm/year. These findings underscore the importance of lithological heterogeneity and structural settings in the evolution of landslides. The integrated geophysical and remote sensing approach enhances the understanding of slope dynamics. It can be used to cross-check interpretations, capture displacement trends, characterize the internal structure of unstable slopes, and resolve the limitations of each method. This synergy provides a more comprehensive assessment of complex slope instability, offering valuable insights for hazard mitigation strategies in landslide-prone areas. Full article
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13 pages, 2272 KiB  
Review
Probable Extirpation of Anodonta vescoiana in Iraq: A Case Study of Unionid Displacement by Sinanodonta woodiana
by Murtada Naser, Amaal Yasser, Juergen Geist, Karel Douda and Franz Essl
Diversity 2025, 17(6), 415; https://doi.org/10.3390/d17060415 - 12 Jun 2025
Viewed by 355
Abstract
Conservation of ecologically important freshwater mussels is high on the international agenda, but there is only limited knowledge about the status of rare unionid species in arid and semi-arid areas which are particularly vulnerable. One such example concerns Anodonta vescoiana which was recognized [...] Read more.
Conservation of ecologically important freshwater mussels is high on the international agenda, but there is only limited knowledge about the status of rare unionid species in arid and semi-arid areas which are particularly vulnerable. One such example concerns Anodonta vescoiana which was recognized as one of the few endemic species of unionid mussels from Iraq and was restricted to the marshes of southern Mesopotamia and its connected river systems. The last confirmed report of A. vescoiana was in 2009 from the Al-Ezz River. We conducted extensive field surveys during the years 2021 and 2022 at approximately 20 freshwater sites, but we failed to observe any live or dead specimens, suggesting a probable extirpation or severe decline. In contrast, we documented the invasive Sinanodonta woodiana at numerous sites across the Tigris–Euphrates basin including the Al-Ezz River. This documentation of S. woodiana indicates successful establishment of the species and colonization of freshwater systems modified by anthropogenic practices, which include alterations of hydrological dynamics and ecological conditions. Here, we compile existing evidence of the global ecological impacts and development of S. woodiana invasion, while also highlighting Iraq as an important example of the displacement of native unionid mussel species by invasive alien unionids. We assessed the factors that contributed to the disappearance of A. vescoiana in Iraq including biological competition (with S. woodiana), salinity stress, habitat fragmentation, and pollution. The time window to act and prevent the further decline of rare unionid species in Iraq, as well as other arid and semi-arid areas which face similar threats, is short. Urgent actions include systematic monitoring to identify remnant populations, implementing biosecurity policies (for fisheries or habitats), and restoration (of habitats) to secure the long-term persistence of remaining unionid diversity. Full article
(This article belongs to the Section Biodiversity Conservation)
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38 pages, 6637 KiB  
Article
Socio-Spatial Bridging Through Walkability: A GIS and Mixed-Methods Analysis in Amman, Jordan
by Majd Al-Homoud and Sara Al-Zghoul
Buildings 2025, 15(12), 1999; https://doi.org/10.3390/buildings15121999 - 10 Jun 2025
Viewed by 539
Abstract
Decades of migration and refugee influxes have driven Amman’s rapid urban growth, yet newer neighborhoods increasingly grapple with fragmented social cohesion. This study examines whether walkable design can strengthen community bonds, focusing on Deir Ghbar, a car-centric district in West Amman. Using GIS [...] Read more.
Decades of migration and refugee influxes have driven Amman’s rapid urban growth, yet newer neighborhoods increasingly grapple with fragmented social cohesion. This study examines whether walkable design can strengthen community bonds, focusing on Deir Ghbar, a car-centric district in West Amman. Using GIS and mixed-methods analysis, we assess how walkability metrics (residential density, street connectivity, land-use mix, and retail density) correlate with sense of community. The results reveal that street connectivity and residential density enhance social cohesion, while land-use mix exhibits no significant effect. High-density, compact neighborhoods foster neighborly interactions, but major roads disrupt these connections. A critical mismatch emerges between quantitative land-use metrics and resident experiences, highlighting the need to integrate spatial data with community insights. Amman’s zoning policies, particularly the stark contrast between affluent low-density Zones A/B and underserved high-density Zones C/D, perpetuate socio-spatial segregation—a central critique of this study. We urge the Greater Amman Municipality’s 2025 Master Plan to prioritize mixed-density zoning, pedestrian retrofits (e.g., traffic calming and sidewalk upgrades), and equitable access to amenities. This study provides a replicable GIS and survey-based framework to address urban socio-spatial divides, aligning with SDG 11 for inclusive cities. It advocates for mixed-density zoning and pedestrian-first interventions in Amman’s Master Plan. By integrating a GIS with social surveys, this study offers a replicable model for addressing socio-spatial divides in cities facing displacement and inequality. Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
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