Search Results (310)

Physical activity, particularly when practiced in natural settings, has well-established benefits for overall health, sleep, and body composition. These effects are especially important for postmenopausal women, although research specifically targeting this population remains limited. The study evaluated a 16-week multicomponent outdoor exercise program (cardiorespiratory, strength, balance, coordination, and flexibility training) in postmenopausal women, consisting of three 60 min sessions per week. Participants were non-randomly assigned to an experimental group (EG, n = 55) and a control group (CG, n = 20). Measurements were taken at baseline and after 16 weeks, including body composition, sleep (duration and quality), and connection with nature. No significant differences were observed between groups at baseline. After the intervention, the EG and CG presented significant differences (p ≤ 0.01) in the rates of change in body mass, fat mass (FM; −9.26% and −1.21%, respectively), and visceral fat level (VFL; −13.46 points and −3.80 points). These differences were also observed for the sleep fragmentation index (p ≤ 0.01), but not for connection with nature. A significant interaction effect (p < 0.01) of time × group was observed for %FM, VFL, and appendicular skeletal muscle mass. Exercise duration had an effect (p = 0.043) on participants’ personal and affective identification with nature, and the time × group × medication interaction significantly influenced sleep efficiency (p = 0.034). The exercise program proved effective in reducing total and central adiposity levels; however, it did not lead to improvements in sleep duration, sleep quality, or connection with nature. Full article

Computer vision is of wide interest to perform the phenotyping of horticultural crops such as apple trees at high throughput. In orchards specially constructed for variety testing or breeding programs, computer vision tools should be able to extract phenotypical information form each tree separately. We focus on segmenting individual apple trees as the main task in this context. Segmenting individual apple trees in dense orchard rows is challenging because of the complexity of outdoor illumination and intertwined branches. Traditional methods rely on supervised learning, which requires a large amount of annotated data. In this study, we explore an alternative approach using prompt engineering with the Segment Anything Model and its variants in a zero-shot setting. Specifically, we first detect the trunk and then position a prompt (five points in a diamond shape) located above the detected trunk to feed to the Segment Anything Model. We evaluate our method on the apple REFPOP, a new large-scale European apple tree dataset and on another publicly available dataset. On these datasets, our trunk detector, which utilizes a trained YOLOv11 model, achieves a good detection rate of $97\%$ based on the prompt located above the detected trunk, achieving a Dice score of 70% without training on the REFPOP dataset and 84% without training on the publicly available dataset.We demonstrate that our method equals or even outperforms purely supervised segmentation approaches or non-prompted foundation models. These results underscore the potential of foundational models guided by well-designed prompts as scalable and annotation-efficient solutions for plant segmentation in complex agricultural environments. Full article

As mental health disorders in the U.S. increase at an alarming rate, schools are looking for prevention and mitigation interventions for their students. This study reports teachers’ perspectives on the effectiveness of a school program situated at the intersection of self-care and nature-based interventions at a vocational technical high school. Eight classes received between one and four “Intro to Well-Being” sessions, designed to take students outside and develop self-awareness, sense of connection, and reduce stress. Upon the conclusion of the program, classroom teachers were interviewed to identify the perceptions of the sessions and their impact on student and classroom outcomes. Teachers described the sessions as beneficial to students’ expression of emotions, mindfulness skills, personal/social connections, and classroom atmosphere. Teachers also reflected on challenges and provided recommendations for future implementation. Outdoor-based self-care programs, administered at schools, may be a promising program model to support the social and emotional health of students. Full article

This paper presents a robust control strategy based on simplified second-order sliding mode for autonomous navigation and obstacle avoidance for an unmanned ground vehicle. The proposed control is implemented in a mini ground vehicle equipped with redundant inertial sensors for orientation, a global positioning system, and LiDAR sensors. The algorithm control avoids the derivative of the sliding surface. This provides a feasibility in real-time programming. In order to demonstrate stability in the system, the second method of the Lyapunov theory is used. In addition, the robustness of the proposed algorithm is verified through numerical simulations. Outdoor experimental tests are performed in order to validate the performance of the proposed control. Full article

A temporal monitoring of monumental buildings in calcarenite, exposed outdoors in the considered Mediterranean environment of Southern Italy, was performed using XPS, the surface-specific technique. The methodology adopted to monitor the surfaces interacting with atmospheric agents and biotic/abiotic pollutants involved progressive sampling, extended to about five years, from the walls of a new building, specifically installed in the immediate vicinity of an ancient farmhouse in an advanced state of degradation. Taking the ancient building as the final temporal reference, the aim was to obtain adequate information on the degradation processes of calcarenitic stones, from the initial and evolving phases of the new building towards those representative of the old reference. A large set of XPS data was obtained by resolving, through curve-fitting, the acquired spectra into component peaks, identified as ‘indicator’ chemical groups, which trend as a function of time, supported by PCA, demonstrates a close compositional similarity between the samples of the new building analyzed after 52 months from its installation and those of the ancient building dating back to over a century ago. The results obtained can be considered in the diagnostic strategy of the ongoing PNRR programs dedicated to the care of historical monuments and ecosystem sustainability. Full article

Middle school students face significant transitions and often do not receive education on important social-emotional learning (SEL) skills. To address this issue, we investigated how middle school students experience an outdoor adventure education program focused on SEL development. Nine students from an urban public charter school participated in the ROVER program, which taught the following SEL skills: resilience, risk management, self-efficacy, self-regulation, and emotion regulation. Students then applied these concepts through adventure sports and were instructed to translate the lessons to their home and school lives. Students completed weekly reflections to explore how students experienced this piloted program. A Structure Tabular-Thematic Analysis (ST-TA) approach was used to investigate thematic coding of reflections. Prominent themes uncovered across the reflections were emotion regulation, experience intensity, social influences, resilience, and self-preservation. We describe program implementation and discuss how using adventure sports after-school programs can impact urban middle school students’ SEL skills development. Implications suggest potential benefits of directly teaching and applying SEL competencies. Full article

Background/Objectives: How to best assist people living with dementia (PLWD) and their care partners to maximize quality of life and quality of living, through appropriate and effective non-pharmaceutical approaches, remains a focus of dementia societies and organizations worldwide. This scoping review explored the types, opportunities, benefits and challenges of outdoor-based care and support programs for community-dwelling PLWD and their care partners. Methods: The methodological framework proposed by Arksey & O’Malley (2005) and modified by Levac et al. (2010) was followed. Four research databases were searched from January 2000 to November 2024; 2817 articles were retrieved and 20 met inclusion criteria and underwent data extraction. Results: Program types included the following: nature-based, care farm, green care farm, and farm-based dementia care programs, representing more than half of the included articles; health walks; and outdoor horticulture/garden/gardening programs. The number of PLWD participants ranged from 4 to 136. The total number of care partner participants was 151 and the total number of service provider participants was 87. The essence of, and connections with, nature and the outdoors had notable relevance and value for PLWD. Reported benefits, assessed quantitatively and qualitatively, were numerous and those in the social domain were reported most often. Identified challenges and barriers were related to risks and safety and program development, and implementation and delivery. Conclusions: The noteworthy potential of outdoor-based care and support programs to promote and enhance the quality of life and quality of living of community-dwelling PLWD and their care partners was elucidated. As most PLWD prefer to, and do, continue to reside in their homes, including those with advancing symptoms, the findings have significant relevance and implications for real-world practice and policy. Future research addressing current gaps will strengthen this growing field of dementia research. Full article

This paper presents the airflow characteristics of humidity-sensitive air inlet. This type of air inlets and exhausts are often part of demand control ventilation, especially in dwellings where humidity is an important indicator of ventilation needs. Humidity-controlled ventilation is one of the simplest implementations of smart ventilation, even in the case of a natural ventilation system. This type of solution leads to decreased energy consumption and increases the indoor air quality. A description of airflow characteristics is crucial for resolving these issues. The presented characteristics are based on the measurements of the indoor/outdoor relative humidity, airflow, and pressure drop across the air inlet. The characteristics are described based on a general power law flow model (V = C·∆pⁿ), which is the most suitable, for example, for the CONTAM multizone indoor air quality and ventilation analysis computer program. The characteristics include relationships between the indoor and outdoor relative humidity, hysteresis, and dynamic changes in indoor relative humidity. The simplified and complex formulas are presented. The accuracy of the airflow calculation based on these formulas is discussed. Full article

With the widespread application of combined heat and power (CHP) units, the coupling between electricity and heat systems has become increasingly close. In response to the problem of low operational efficiency of electricity–heat integrated energy systems (EH-IESs) with buildings in uncertain environments, this paper proposes a chance-constrained programming (CCP)-based decentralized optimization method for EH-IESs with buildings. First, based on the thermal storage capacity of building envelopes and considering the operational constraints of an electrical system (ES) and thermal system (TS), a mathematical model of EH-IESs, accounting for building thermal inertia, was constructed. Considering the uncertainty of sunlight intensity and outdoor temperature, a CCP-based optimal scheduling strategy for EH-IESs is proposed to achieve a moderate trade-off between the optimal objective function and constraints. To address the disadvantages of high computational complexity and poor information privacy in centralized optimization, an accelerated asynchronous decentralized alternating direction method of multipliers (A-AD-ADMM) algorithm is proposed, which decomposes the original optimization problem into sub-problems of ES and TS for distributed solving, significantly improving solution efficiency. Finally, numerical simulations prove that the proposed strategy can fully utilize the thermal storage characteristics of building envelopes, improve the operational economics of the EH-IES under uncertain environments, and ensure both user temperature comfort and the information privacy of each subject. Full article

As global environmental challenges intensify, there is an increasing need to equip younger generations with the knowledge, values, and sense of responsibility necessary for a sustainable future. This study explores how environmental citizenship education (ECE), implemented through a nature-based learning program within a Nature and Science School (NSS) in Türkiye, was experienced and interpreted by primary school pupils in relation to their development of understanding of sustainability and environmental citizenship. NSSs, integrated into the formal education system by the Turkish Ministry of National Education, offer inquiry-driven and experiential learning in natural settings. The study took place in Talat Göktepe Grove, a biodiverse site including forest and marine ecosystems, where a four-month ECE program was conducted. A holistic single-case study design was employed, drawing on pupil diaries and semi-structured interviews. A total of 88 pupils engaged in structured outdoor activities addressing biodiversity, sustainability, and the climate crisis. Initially, pupils described environmental citizenship through individual actions. Over time, their perspectives expanded to include civic participation, environmental rights, and collective responsibility. Their reflections also revealed a more nuanced understanding of sustainability, encompassing concepts such as ecosystem balance, renewable energy, and environmental justice. The study provides insight into how nature-based education may support meaning-making around environmental citizenship and sustainability in early education. Full article

This study reviewed the benefits of outdoor activities and educational programs that take place in nature in terms of the cognitive and mental development of children. Research has highlighted the benefits offered to children by their participation in experiential activities that take place outdoors and are related to natural phenomena. These activities help children realize how important it is to conserve nature and protect sites of world heritage, thus becoming active citizens in the future. In this study, the uniqueness of Syros Island is presented, emphasizing the need for the world-renowned geological heritage of Syros to be preserved and promoted, both for the scientific community and for the public, with the aim of establishing a geopark in Apano Meria, as proposed by local authorities, along with a local museum. In this context, a working methodology was developed involving the design and implementation of a pilot educational program combining field-based activities, guided interpretation, and interactive learning tools. An indicative educational program was piloted with primary and secondary school students, as well as postgraduate students from the University of Athens. Recognizing the important role of geoparks in school education, the program focused on the rare geological phenomena on the northern side of Syros and was adapted to the characteristics of each participant age group. Full article

Forested areas are defined as wooded regions characterized by dense vegetation, largely preserved natural ecosystem features, and availability for recreational use. These areas play a critical role in maintaining ecological balance and are increasingly utilized as preferred sites for various outdoor activities. However, the growing intensity of recreational activities in such sensitive ecosystems contributes to increased waste generation and poses significant threats to environmental sustainability. The objective of this study is to calculate the carbon footprint resulting from waste produced during recreational activities in forested areas of Lithuania, Turkey, and Morocco, and to identify innovative waste management strategies aimed at achieving clean and safe forest ecosystems. This study includes a comparison of Turkey, Lithuania, and Morocco. Quantitative data and carbon footprint calculations were conducted, while quantitative methods were also employed through semi-structured interviews with experts. Firstly, carbon footprint calculations were carried out based on the types and amounts of waste generated by participants. Subsequently, semi-structured interviews were conducted with experts and participants from all three countries to identify issues related to waste management and innovative waste management strategies. The carbon footprint resulting from waste generation was estimated to be 1517.26 kg in Turkey, 613.25 kg in Lithuania, and 735.68 kg in Morocco. Experts from Turkey, Lithuania, and Morocco have proposed innovative solutions for improving waste management systems in their respective countries. In Turkey, the predominant view emphasizes the need for increased use of digital tools, stricter enforcement measures, a rise in the number of personnel and waste bins, as well as the expansion of volunteer-based initiatives. In Lithuania, priority is given to educational and awareness-raising activities, updates to legal regulations, the placement of recycling bins, the development of infrastructure, and the promotion of environmentally friendly projects. In Morocco, it is highlighted that there is a need for stronger enforcement mechanisms, updated legal frameworks, increased staffing, more frequent waste collection, and the implementation of educational programs. Full article

Resonators are passive components that respond to an excitation signal by oscillating at their natural frequency with an exponentially decreasing amplitude. When combined with antennas, resonators enable purely passive chipless sensors that can be read wirelessly. In this contribution, we investigate the properties of dielectric resonators, which combine the following functionalities: They store the readout signal for a sufficiently long time and couple to free space electromagnetic waves to act as antennas. Their mode spectrum, along with their resonant frequencies, quality factor, and coupling to electromagnetic waves, is investigated using a commercial finite element program. The fundamental mode exhibits a too-low overall Q factor. However, some higher modes feature overall Q factors of several thousand, which allows them to act as transponders operating without integrated circuits, batteries, or antennas. To experimentally verify the simulations, isolated dielectric resonators exhibiting modes with similarly high radiation-induced and dissipative quality factors were placed on a low-loss, low permittivity ceramic holder, allowing their far-field radiation properties to be measured. The radiation patterns investigated in the laboratory and outdoors agree well with the simulations. The resulting radiation patterns show a directivity of approximately 7.5 dBi at 2.5 GHz. The sensor was then heated in a ceramic furnace with the readout antenna located outside at room temperature. Wireless temperature measurements up to 700 °C with a resolution of 0.5 °C from a distance of 1 m demonstrated the performance of dielectric resonators for practical applications. Full article

Pre-trip anxiety is a critical yet understudied factor influencing participation and engagement in Outdoor Experiential Education (OEE) programs. Anxiety can serve as both a motivator and a barrier, shaping participants’ willingness to engage in challenging activities. This study examines the sources, predictors, and temporal progression of pre-trip anxiety among OEE participants, with a focus on experience level, gender differences, and activity type. Using a cross-sectional design, data were collected from students and staff at two Midwestern universities across three time points leading to an OEE program. Measures included the State–Trait Anxiety Inventory (STAI) and a course-specific worry scale assessing concerns such as physical ability, social dynamics, and environmental risks. Results indicate that experience level can predict anxiety, with less experienced participants reporting higher levels of concern. Gender differences were also observed, with female participants exhibiting greater pre-trip anxiety, particularly in water-based activities. However, anxiety remained relatively stable across time intervals, suggesting that interventions may be effective at multiple stages before a program begins. These findings have practical implications for OEE design, including targeted pre-trip interventions, adjusted program marketing, and tailored support strategies to reduce barriers to participation and enhance student preparedness. Full article

Accurate information on trail difficulty is essential for ensuring safety and enhancing the effectiveness of forest-based health and recreational activities. This study examined the physiological responses of middle-aged adults to varying trail difficulty levels across both controlled indoor and natural outdoor walking environments. A total of ten healthy individuals aged 40–50 years participated in walking tasks across three designated trail difficulty levels: Moderate, Difficult, and Very Difficult. Physiological indicators assessed included step speed (SS), step count (SC), rate of perceived exertion (RPE), heart rate (HR), oxygen saturation (OS), energy expenditure (EE), metabolic equivalents (MET), and oxygen consumption (VO₂). As trail difficulty increased, HR, RPE, VO₂, EE, and MET consistently showed upward trends, whereas SS and SC demonstrated significant decreases. Additionally, the outdoor setting imposed generally greater physiological demands compared to the indoor condition, suggesting that terrain complexity and elevation changes amplify physical exertion during real-world trail use. The findings contribute valuable empirical evidence for the design of individualized exercise programs, improved trail difficulty classifications, and the advancement of forest-based health promotion policies. Full article