bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting Older Adults’ Engagement in Disaster Recovery Through Supportive Relationships, Partnerships, and Collaboration: Perspectives of Social Work Practitioners and Human Service Professionals
Authors: Drolet Julie L. , Choudhury Mahed 
Published: May 2024

AbstractShifting demographics—that is, the growing number of older adults in Canada and internationally—and intersecting climatic risks create a complex landscape of aging in place in disaster contexts. Some older adults are vulnerable due to their underlying health conditions and limited physical mobility. Yet they also exhibit resilience in a distinct manner, owing to their wealth of knowledge, wisdom, and ability to navigate adversities. This article elucidates potential avenues for promoting the involvement of older adults in disaster recovery efforts. Our intention is to recognize and foster older adult resilience and mitigate vulnerability by drawing upon insights from the study titled “In the Aftermath of the 2016 Alberta Wildfires: The Role of Social Work Practitioners and Human Service Professionals in Long-Term Disaster Recovery.” Employing a qualitative research approach, that study recruited 51 participants for semistructured interviews and focus groups. A thematic analysis of the collected data unveiled the pivotal roles played by social workers and human service practitioners in facilitating recovery from the 2016 wildfires in the research. Notably, three overarching themes emerged concerning the promotion of older adults’ involvement in disaster recovery: fostering supportive relationships, building partnerships and enhancing collaboration, and addressing ongoing challenges. These findings offer valuable insights into how social work practitioners and human service professionals can effectively facilitate the engagement of older adults in disaster recovery initiatives. This article emphasizes the significance of actively promoting the participation of older adults in disaster mitigation efforts, thereby fostering greater resilience within communities.
“If Somebody Needed Help, I Went Over”: Social Capital and Therapeutic Communities of Older Adult Farmers in British Columbia Floods
Authors: Breen Kyle , Ru Siyu , Vandeweghe Luna , Chiu Jenna , Heyland Lindsay , Wu Haorui 
Published: May 2024

AbstractOlder adults in disaster contexts are often thought of as a passive, vulnerable population that lacks agency and capacities to cope in the aftermath. However, it can be argued that older adults may have underrecognized strengths that can be utilized pre-, peri-, and post-disaster. One of these strengths is older adults’ unique social capital that stems from long-standing connections with other members of their respective communities. Using data from in-depth, semistructured interviews with farmers in British Columbia 3–11 months after the 2021 floods, this research explored the experiences of older adult farmers’ recovery. The farmers discussed how they leveraged their social capital to aid in their recovery efforts from the flood event. By using their bonding social capital, older adult farmers transformed their existing, deep-rooted connections into post-disaster assistance. This, in turn, generated the idea of the therapeutic community, helping community members cope in the aftermath. This research indicated the need to further examine how older adults in disaster settings can be viewed as assets with community knowledge and skills as opposed to solely as a vulnerable population.
On Pillai’s Problem involving Lucas sequences of the second kind
Authors: Heintze Sebastian , Ziegler Volker 
Published: May 2024

AbstractIn this paper, we consider the Diophantine equation $$ V_n - b^m = c $$

V
n

-

b
m

=
c

for given integers b, c with $$ b \ge 2 $$

b
≥
2

, whereas $$ V_n $$

V
n

varies among Lucas-Lehmer sequences of the second kind. We prove under some technical conditions that if the considered equation has at least three solutions (n, m) , then there is an upper bound on the size of the solutions as well as on the size of the coefficients in the characteristic polynomial of $$ V_n $$

V
n

.
MANGLEE: A Tool for Mapping and Monitoring MANgrove Ecosystem on Google Earth Engine—A Case Study in Ecuador
Authors: Caiza-Morales Lorena , Gómez Cristina , Torres Rodrigo , Nicolau Andrea Puzzi , Olano José Miguel 
Published: May 2024

AbstractMangroves, integral to ecological balance and socioeconomic well-being, are facing a concerning decline worldwide. Remote sensing is essential for monitoring their evolution, yet its effectiveness is hindered in developing countries by economic and technical constraints. In addressing this issue, this paper introduces MANGLEE (Mangrove Mapping and Monitoring Tool in Google Earth Engine), an accessible, adaptable, and multipurpose tool designed to address the challenges associated with sustainable mangrove management. Leveraging remote sensing data, machine learning techniques (Random Forest), and change detection methods, MANGLEE consists of three independent modules. The first module acquires, processes, and calculates indices of optical and Synthetic Aperture Radar (SAR) data, enhancing tracking capabilities in the presence of atmospheric interferences. The second module employs Random Forest to classify mangrove and non-mangrove areas, providing accurate binary maps. The third module identifies changes between two-time mangrove maps, categorizing alterations as losses or gains. To validate MANGLEE’s effectiveness, we conducted a case study in the mangroves of Guayas, Ecuador, a region historically threatened by shrimp farming. Utilizing data from 2018 to 2022, our findings reveal a significant loss of over 2900 hectares, with 46% occurring in legally protected areas. This loss corresponds to the rapid expansion of Ecuador’s shrimp industry, confirming the tool’s efficacy in monitoring mangroves despite cloud cover challenges. MANGLEE demonstrates its potential as a valuable tool for mangrove monitoring, offering insights essential for conservation, management plans, and decision-making processes. Remarkably, it facilitates equal access and the optimal utilization of resources, contributing significantly to the preservation of coastal ecosystems.
Optimal orbit transfer of single-tether E-sail with inertially fixed spin axis
Authors: Quarta Alessandro A. , Bassetto Marco , Mengali Giovanni 
Published: May 2024

AbstractThis study analyzes the optimal transfer trajectory of a spacecraft propelled by a spin-stabilized electric solar wind sail (E-sail) with a single conducting tether and a spin axis with a fixed direction in an inertial (heliocentric) reference frame. The approach proposed in this study is useful for rapidly analyzing the optimal transfer trajectories of the current generation of small spacecraft designed to obtain in-situ evidence of the E-sail propulsion concept. In this context, starting with the recently proposed thrust model for a single-tether E-sail, this study discusses the optimal control law and performance in a typical two-dimensional interplanetary transfer by considering the (binary) state of the onboard electron emitter as the single control parameter. The resulting spacecraft heliocentric trajectory is a succession of Keplerian arcs alternated with propelled arcs, that is, the phases in which the electron emitter is switched on. In particular, numerical simulations demonstrated that a single-tether E-sail with an inertially fixed spin axis can perform a classical mission scenario as a circle-to-circle two-dimensional transfer by suitably varying a single control parameter.
Strategies for adaptation to high light in plants
Authors: Zhang Man , Ming Yu , Wang Hong-Bin , Jin Hong-Lei 
Published: May 2024

AbstractPlants absorb light energy for photosynthesis via photosystem complexes in their chloroplasts. However, excess light can damage the photosystems and decrease photosynthetic output, thereby inhibiting plant growth and development. Plants have developed a series of light acclimation strategies that allow them to withstand high light. In the first line of defense against excess light, leaves and chloroplasts move away from the light and the plant accumulates compounds that filter and reflect the light. In the second line of defense, known as photoprotection, plants dissipate excess light energy through non-photochemical quenching, cyclic electron transport, photorespiration, and scavenging of excess reactive oxygen species. In the third line of defense, which occurs after photodamage, plants initiate a cycle of photosystem (mainly photosystem II) repair. In addition to being the site of photosynthesis, chloroplasts sense stress, especially light stress, and transduce the stress signal to the nucleus, where it modulates the expression of genes involved in the stress response. In this review, we discuss current progress in our understanding of the strategies and mechanisms employed by plants to withstand high light at the whole-plant, cellular, physiological, and molecular levels across the three lines of defense.
GIS-based spatial approaches to refining urban catchment delineation that integrate stormwater network infrastructure
Authors: Si Qianyao , Brito Higor C. , Alves Priscila B. R. , Pavao-Zuckerman Mitchell A. , Rufino Iana A. A. , Hendricks Marccus D. 
Published: May 2024

AbstractRapid urbanization and escalating climate change impacts have heightened stormwater-related concerns (e.g., pluvial flooding) in cities. Understanding catchment dynamics and characteristics, including precise catchment mapping, is essential to accurate surface water monitoring and management. Traditionally, topography is the primary data set used to model surface water flow dynamics in undisturbed natural landscapes. However, urban systems also contain stormwater drainage infrastructure, which can alter catchment boundaries and runoff behavior. Acknowledging both natural and built environmental influences, this study introduces three GIS-based approaches to enhance urban catchment mapping: (1) Modifying DEM elevations at inlet locations; (2) Adjusting DEM elevations along pipeline paths; (3) Applying the QGRASS plug-in to systematically incorporate infrastructure data. Our evaluation using the geographical Friedman test (p > 0.05) and Dice Similarity Coefficient (DSC = 0.80) confirms the statistical and spatial consistency among the studying methods. Coupled with onsite flow direction validation, these results support the feasibility and reliability of integrating elements of nature and built infrastructure in urban catchment mapping. The refined mapping approaches explored in this study offer improved and more accurate and efficient urban drainage catchment zoning, beyond using elevation and topographic data alone. Likewise, these methods bolster predictive stormwater management at catchment scales, ultimately strengthening urban stormwater and flooding resilience.
Epidemiology and demographic risk factors for myopia in Ghana: a 5-year retrospective study
Authors: Kyei Samuel , Gyaami Rexford Kwasi , Abowine John Baptist , Zaabaar Ebenezer , Nti Augustine , Asiedu Kofi , Boadi-Kusi Samuel Bert , Owusu-Afriyie Bismark , Assiamah Frank , Armah Anthony 
Published: May 2024

Abstract
Purpose
To explore the epidemiology and demographic risk factors for myopia among a clinical sample.

Methods
In a hospital-based retrospective study, eligible subjects were grouped into either myopia or non-myopia. Demographic data, including age, sex, occupation, area of residence, region of residence, and ethnicity, were analysed. Other clinical information analysed included the degree of myopia and intervention provided for the myopia.

Results
Overall, the medical records of 15807 patients were retrieved between January 2015 and December 2019, with 50.9% being males. The mean ± SD age of the patients was 42.81 ± 18.99 years. A total of 44.4% of the patients were myopic. Age, type of ethnic group, occupation, and area of residence were associated with myopia. Demographic risk factors for myopia included occupations such as professionals (OR: 2.93; 95% CI 2.44–3.52), technicians and associated workers (OR: 6.71; 95% CI 5.15–8.74), service workers (OR: 11.74; 95% CI 9.62–14.33), skilled agriculture and fishery (OR: 1.88; 95% CI 1.41–2.50), craft workers (OR: 3.41; 95% CI 2.75–4.25), armed forces (OR: 10.26; 95% CI 7.54–13.97), students (OR: 3.49; 95% CI 2.76–4.42), the unemployed (OR: 6.64; 95% CI 5.44–8.11), as well as Ewe (OR: 1.46; 95% CI 1.17–1.82) and Ga-Adangbe (OR: 1.28; 95% CI 1.05–1.54) ethnicities.

Conclusion
Ewe and Ga-Adangbe ethnicities, and specific occupations are risk factors for myopia.
The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption
Authors: Fenwick Ali , Molnar Gabor , Frangos Piper 
Published: May 2024

AbstractThe rapid advancement of Artificial Intelligence (AI) in the business sector has led to a new era of digital transformation. AI is transforming processes, functions, and practices throughout organizations creating system and process efficiencies, performing advanced data analysis, and contributing to the value creation process of the organization. However, the implementation and adoption of AI systems in the organization is not without challenges, ranging from technical issues to human-related barriers, leading to failed AI transformation efforts or lower than expected gains. We argue that while engineers and data scientists excel in handling AI and data-related tasks, they often lack insights into the nuanced human aspects critical for organizational AI success. Thus, Human Resource Management (HRM) emerges as a crucial facilitator, ensuring AI implementation and adoption are aligned with human values and organizational goals. This paper explores the critical role of HRM in harmonizing AI's technological capabilities with human-centric needs within organizations while achieving business objectives. Our positioning paper delves into HRM's multifaceted potential to contribute toward AI organizational success, including enabling digital transformation, humanizing AI usage decisions, providing strategic foresight regarding AI, and facilitating AI adoption by addressing concerns related to fears, ethics, and employee well-being. It reviews key considerations and best practices for operationalizing human-centric AI through culture, leadership, knowledge, policies, and tools. By focusing on what HRM can realistically achieve today, we emphasize its role in reshaping roles, advancing skill sets, and curating workplace dynamics to accommodate human-centric AI implementation. This repositioning involves an active HRM role in ensuring that the aspirations, rights, and needs of individuals are integral to the economic, social, and environmental policies within the organization. This study not only fills a critical gap in existing research but also provides a roadmap for organizations seeking to improve AI implementation and adoption and humanizing their digital transformation journey.
Efficacy of Disinfection Procedure in Air-Tight ECMOLIFE HC Heater–Cooler Unit for ECMO
Authors: Condello Ignazio , Letizia Bellesia , Tassi Carlo Alberto , Fanelli Caterina , Sicignano Luca , Pedarzini Alessandra , Russo Raffaele , Buriani Giampaolo , Speziale Giuseppe 
Published: May 2024

Abstract
Water-borne opportunistic pathogens are responsible for a range of infections in immunocompromised and vulnerable patients, especially in healthcare facilities. Since 2013, over 100 cases of Mycobacterium chimaera prosthetic valve endocarditis and disseminated disease were notified in Europe and the USA, linked to contaminated heater–cooler units used during cardiac surgery. There is the potential for non-tuberculous mycobacteria bacteria to grow in the water tank in the heater–cooler unit. The purpose of this study is to clinically prove that ECMOLIFE HC heater–cooler ordinary disinfection procedure is effective in the prevention of Mycobacterium Chimaera contamination. ECMOLIFE HC heater–cooler was used on seven Extracorporeal Membrane Oxygenation (ECMO) procedures with mean duration of 154 ± 18 (hours). Seven water samples have been collected pre and post disinfection procedure. As disinfection procedure the ordinary was followed according to ECMOLIFE HC User Manual. Each sample was subjected to laboratory test for research by means of Real-Time PCR system of DNA M. Chimaera strain (extraction and quantification). During the clinical practice on seven ECMO procedures involving the use of ECMOLIFE HC, no Mycobacterium chimaera contamination was found in pre- and post-disinfection samples. The test can be considered pass as during normal clinical practice the ECMOLIFE HC resulted not contaminated by Mycobacterium Chimaera. Molecular analysis of all sampled solutions showed no detection of Mycobacterium Chimaera. According to ECMOLIFE HC User Manual, the disinfection method is proved to effectively disinfect ECMOLIFE HC.
A conjugated structure discloses interaction between two fault systems in eastern Taiwan during 2022 Guangfu earthquake
Authors: Lu Chih-Heng , Hsu Yi-Chun , Chang Chung-Pai , Chen Yue-Gau 
Published: May 2024

AbstractThe Longitudinal Valley (LV) in the eastern Taiwan is located at the convergent boundary between the Philippine Sea Plate and the Eurasian Plate. Within the LV, two significant fault systems, the Longitudinal Valley Fault (LVF) in the eastern part and the Central Range Fault (CeRF) in the western part, have been recognized. However, understanding the precise mechanisms and spatial relationships of the two fault systems in the middle segment of the LV has remained a challenge. In this study, we integrate various data sources, including geodetic measurements, seismic data, field investigations, and simulation results, all obtained during the 2022 Guangfu earthquake event. Our goal is to shed light on the complex structural interactions between the two fault systems. We introduce a coupled structural model consisting of a main fault plane and a coupled ramp plane. The deep-seated fault plane is constrained using seismic data, while the shallow ramp plane is determined through field investigations. Geodetic measurements are utilized to constrain the surface deformation resulting from dislocation model. The simulation outcomes reveal that the 2022 Guangfu earthquake was primarily triggered by the activity along the CeRF. The CeRF experienced an eastward reverse slip of approximately 58 cm along the fault plane. This fault not only intersects the LVF beneath the Coastal Range but also initiates the development of a ramp plane along pre-existing fault planes of the LVF. This intricate interplay results in approximately 20 cm of vertical surface deformation within the Coastal Range. The linear connection observed in the simulation residuals is associated with pre-existing faults within the LVF system. This alignment corresponds to the ground distribution of ramp plane, suggesting that older fault systems within this area exhibit characteristics of reactivation in response to earthquake-induced processes. Our study not only pinpoints the potential location of the CeRF intersecting with the LVF in the middle segment of the LV but also provides insight into one of the interaction mechanisms between the CeRF and the LVF. These findings hold significant implications for assessing seismogenic structural activity and enhancing the mitigation of regional earthquake hazards in the future.
Design and Development of Middle-Aged and Elderly Tourism Products Based on Fuzzy Decision Support System
Authors: Lu Xiaojing , Zhu Jiabin 
Published: May 2024

AbstractTourism product design and development is anxious with intricate decision-making processes that need to strike a balance between many criteria, goals, and limitations. In today's diversified and ever-changing tourist business, there are substantial sprints in developing and implementing products that appeal to middle-aged and older travellers. In this research, the utilization of fuzzy decision support system (FDSS) is investigated to personalize travel experiences for the elderly based on their unique interests and requirements. The main objective of this study is to reduce the complex tourism business patterns. This study presents a systematic framework for middle-aged and senior tourism products based on the literature on tourism trends, FDSS, and product creation in the tourism industry. This study proposes a middle-aged and elderly tourism product based on fuzzy decision support system (METP–FDSS) that employs fuzzy logic. This approach takes into account cultural sensitivities, accessibility concerns, travel preferences, and demographic data to create tourism experiences that are welcoming and immersive for older tourists. Through the application of fuzzy logic concepts, FDSS provides a flexible and robust decision-making platform that can aid in the development of personalized, inclusive, and immersive tourist experiences for the elderly. Customer happiness, accessibility, and the decision support system's ability to steer product development are all highlighted in the proposed METP–FDSS framework. Research on tourism among the middle-aged and the elderly also benefits from understanding user experience, cost effectiveness, competitive advantage, and social and environmental impact. While navigating the complexity of today's tourism sector, this study recommends using fuzzy logic as a decision support system to provide one-of-a-kind experiences for older and middle-aged tourists.
Prevalence of HIV, Hepatitis C and Hepatitis B Infection Among Detainees in a French Administrative Detention Centre
Authors: Mancy Sandrine , Fabbro-Peray Pascale , Alonso Sandrine , Berkaoui Hadi , Lambremon Laetitia , Vidal Hélène , Hilaire Christophe , Herrmann Dorine , Dapoigny Jennifer , Kinné Melanie 
Published: May 2024

Abstract
Background
In France, migrants constitute a significant proportion of people diagnosed with HIV, hepatitis C (HCV) and B (HBV). This study estimated the prevalence of these three viruses among detainees at a French administrative detention centre (CRA), through systematic Rapid Diagnostic Test (RDT) screening.

Methods
This prospective, single-centre, cross-sectional, pilot study included detainees at the Nîmes CRA from February to December 2022. The primary endpoint was HIV, HCV and HBV prevalence determined by RDT. Secondary outcomes were: co-infections; study acceptability, reasons for non-inclusion, causes of non-contributory samples; and concordance between serological tests and RDT.

Results
Among the 350 people agreeing to participate of 726 eligible, five refused the RDT, leaving 345 analysable participants for a participation rate of 47.5% (345/726). Participants were predominantly male (90%) with an average age of 31 years. The most common country of origin was Algeria (34%). Twenty (6%) had taken drugs intravenously and 240 (70%) had had unprotected sex within a median of 4.92 [1.08; 15] months. Virus prevalence was: 0% HIV; 4.64 [2.42; 6.86] % HCV; and 2.32 [1.01; 4.52] % HBV. Eleven (73%) of the RDT HCV positive cases were confirmed serologically. RDT detected one false-positive HCV case, as an anti-HCV Ac serological test was negative. Of the eight patients with positive HBV RDT, one declined the serology testing, thus 100% (7/7) of the tested RDT positive cases were confirmed by serology.

Conclusion
The study highlighted the need to screen detainees for HIV, HCV and HBV infection and suitability of RDTs.