Search Results (247)

Despite existing protection limits established by different health agencies and regulatory bodies, chronic exposure to non-ionising electromagnetic field radiation (NIR) has raised concerns about its potential biological effects and its impact on human health. Exposure to NIR in urban environments is almost inevitable due to the density of devices and communication systems that emit these waves. Correctly measuring exposure levels among city residents is key to determining whether there is a relationship between these levels and potential health problems associated with NIR. Several factors, including the ubiquity of electromagnetic fields (EMFs) and people’s unawareness of their exposure, make the NIR assessment challenging. This paper proposes a standardised procedure for NIR testing and measurement for frequencies from 100 kHz to 3 GHz, designed explicitly for outdoor urban environments. The measurement procedure is intended for populated urban areas, a complex environment for signal propagation. The complete procedure, techniques, and equipment used for wideband and narrowband measurements are detailed, along with their corresponding overall uncertainty budgets. The data collected by this procedure are suitable and valuable for comparative epidemiological studies due to a systematic measurement protocol and rigorous control of measurement uncertainty. The proposed measurement procedure has been tested in two cities in central Spain, with a total population of 262,000. A total of 534 measurement points have been performed. The results can be used to verify compliance with exposure limits and to demonstrate levels below the applicable regulatory limits. Furthermore, it has been possible to test the validity of the hypothesis that urban environments can be characterised by NIR exposure, which was postulated in this work based on an ITU-R-inspired simplification that classifies urban outdoor areas into representative exposure categories. Full article

Interspecies communication is increasingly recognized as an affective–cognitive process co-created between humans and animals rather than a one-directional transmission of signals. This review integrates findings from ethology, neuroscience, welfare science, behavioral studies, and posthumanist ethics to examine how emotional expression, communicative intentionality, and relational engagement shape understanding across species. Research on primates, dogs, elephants, and marine mammals demonstrates that empathy, consolation, cooperative signaling, and multimodal perception rely on evolutionarily conserved mechanisms, including mirror systems, affective contagion, and oxytocin-mediated bonding. These biological insights intersect with ethical considerations concerning animal agency, methodological responsibility, and the interpretation of non-human communication. Emerging technological tools—bioacoustics, machine vision, and AI-assisted modeling—offer new opportunities to analyze complex vocal and behavioral patterns, yet they require careful contextualization to avoid anthropocentric misclassification. Synthesizing these perspectives, the review proposes a relational framework in which meaning arises through shared emotional engagement, embodied interaction, and ethically grounded interpretation. This approach highlights the importance of welfare-oriented, minimally invasive methodologies and supports a broader shift toward recognizing animals as communicative partners whose emotional lives contribute to scientific knowledge. This review primarily synthesizes empirical and theoretical research on primates and dogs, complemented by selected examples from elephants and marine mammals, which provide the most developed evidence base for the affective–cognitive and relational mechanisms discussed. Full article

Industry 5.0 challenges higher education to adopt human-centred and sustainable uses of artificial intelligence, yet many current deployments still treat generative AI as a stand-alone tool, neurophysiological sensing as largely laboratory-bound, and governance as an external add-on rather than a design constraint. This article introduces Nested Learning as a neuro-adaptive ecosystem design in which generative-AI agents, IoT infrastructures and multimodal deep learning orchestrate instructional support while preserving student agency and a “pedagogy of hope”. We report an exploratory two-phase mixed-methods study as an initial empirical illustration. First, a neuro-experimental calibration with 18 undergraduate students used mobile EEG while they interacted with ChatGPT in problem-solving tasks structured as challenge–support–reflection micro-cycles. Second, a field implementation at a university in Madrid involved 380 participants (300 students and 80 lecturers), embedding the Nested Learning ecosystem into regular courses. Data sources included EEG (P300) signals, interaction logs, self-report measures of engagement, self-regulated learning and cognitive safety (with strong internal consistency; $\alpha /\omega \ge 0.82$), and open-ended responses capturing emotional experience and ethical concerns. In Phase 1, P300 dynamics aligned with key instructional micro-events, providing feasibility evidence that low-cost neuro-adaptive pipelines can be sensitive to pedagogical flow in ecologically relevant tasks. In Phase 2, participants reported high levels of perceived nested support and cognitive safety, and observed associations between perceived Nested Learning, perceived neuro-adaptive adjustments, engagement and self-regulation were moderate to strong ($r=0.41$–$0.63$, $p<0.001$). Qualitative data converged on themes of clarity, adaptive support and non-punitive error culture, alongside recurring concerns about privacy and cognitive sovereignty. We argue that, under robust ethical, data-protection and sustainability-by-design constraints, Nested Learning can strengthen academic resilience, learner autonomy and human-centred uses of AI in higher education. Full article

In recent years, many locales featuring therapeutic landscapes have seen a rise in health tourism. Existing scholarship tends to either concentrate on specific types of landscape or analyze human emotional experiences separately, often overlooking how therapeutic landscape experiences arise from interactions among human and non-human actors. This study focuses on the relationship between tourists and non-human actors (plants such as rice and lotus leaves, etc.) through immersive interaction. This research is built on critical plant theory and draws on a case study of Xixiang Rural Garden, Erlang Town, China, to examine the co-evolution of therapeutic landscape experience and health tourism and its inherent dynamism. Utilizing qualitative methods, data were collected between October 2024 and September 2025 through participatory observation, semi-structured interviews, and policy document analysis, involving diverse stakeholders, including local government officials, project designers, villagers, and tourists. From a micro-level empirical perspective, the study examines the co-evolution of therapeutic landscape experiences and health tourism and its underlying dynamics. The results show that visitors’ therapeutic experiences deepen through a cyclical process of “therapeutic spatial practices–relational negotiations–experiential transformation.” Key mechanisms driving this process include plant agency, cross-cultural dialogue, and multisensory engagement, which collectively facilitate the transition from initial sensory perceptions to deeper ecological awareness and multispecies relations. Based on micro-level empirical analysis, this study offers concrete policy insights for local governments seeking to promote the sustainable development of therapeutic tourism. In response to practical challenges, specific pathways are proposed: constructing plant-led symbiotic environments, establishing multisensory activity mechanisms, and adopting community-driven management models. These recommendations provide practical guidance for enhancing therapeutic landscape experiences and promoting the sustainable advancement of rural health tourism. Full article

From an ecological perspective, sustainable lighting in urban marine areas requires striking a balance between meeting human needs and protecting marine ecosystems from the harmful effects of disrupting natural light regimes. While managing artificial lighting is crucial, we argue that preventing obstructions to light penetration into the water is as important, as many marine organisms depend on the euphotic zone. This study intends to review the key factors for the implementation of wildlife-friendly lighting design in the urban marine environment, as the subject is explored in ecological studies but scarcely discussed in urban studies. An integrative literature review and cases are employed to synthesise evidence about changes to the light regime in urban marine areas from four perspectives: light reach, intensity, spectrum, and duration. The cases present measures implemented to benefit marine species affected by alterations to the light regime following urbanisation in a way that they could still thrive in a modified built environment. In discussion, it is acknowledged that achieving sustainable lighting in urban marine areas is a multifaceted challenge involving concurrent influencing factors, including a shared agency between humans and non-humans, which may require comprehensive lighting designs that are tailored to specific goals and target species. Full article

Numerous attempts to define art have been made from antiquity to the present, yet historical overviews often adopt a Eurocentric (and American-centric) perspective focused mainly on culturally dependent aesthetic approaches. As a universal social and cultural phenomenon, art resists center-periphery models. The cognitive turn reshaped art theory by reconsidering art as a cognitive dimension of humanity. Art has no limits on who can create or enjoy it. The ability to use and understand metaphor, for instance, demonstrates everyday human artistic cognition. The analysis relies on both field research (case studies) and academic literature; it argues for a revised theoretical frame for defining art and organizes it into a dynamic model of three main vectors: (1) art as communication (including art as agency); (2) art as creation; and (3) art as experience (involving both audience and artist). The model can incorporate the study of emotions into the third criterion while remaining open to both materialist and non-materialist approaches. Rather than offering a new definition, the study integrates the perspective of cognitive anthropology, cognitive semantics, and the anthropology of art in order to broaden understanding. Instead of searching for special aesthetic or economic values, these three dimensions of art appear more universal. A pragmatic analysis of how art “works” in individuals and groups provides a useful model for cognitive sciences. Instead of binary codes, it is a vectorial model, a 3D space for expressing family resemblance, since there is no common denominator (prototype) for all kinds of art. Full article

Rural and agricultural runoff continues to pose a threat to water quality and human health despite a plethora of research identifying likely causes. Large livestock operations and leaking septic systems have proven to be significant sources of both nutrients and bacteria in the form of algal blooms and antibiotic-resistant Escherichia coli. These impacts are often witnessed on a watershed scale. Implementing remedies is complicated, as livestock operations are defined as point-source facilities under the USA Clean Water Act (CWA) but regulated as non-point-source entities under a NPDES CAFO general permit. Non-point-source pollutant assessment of watersheds involves a wide array of sampling parameters that focus primarily on impacts after-the-fact and lack regulatory teeth. This watershed management approach is not sustainable, as evidenced by the continual degradation of our rural watersheds. This study lays out streamlined methods and techniques incorporating focused parameters that can infer point-source pollutant pathways even in already impaired waterways. We applied this methodology to the Pine River Watershed in central Lower Michigan after the appearance of an algal bloom downstream from several potential nutrient inputs. Findings show that the application of these unique methods and techniques results in the successful identification of point-source inputs. These methods are inexpensive and demand few resources, and hence they are easily reproduced and replicated. Therefore, by regulating large livestock operations as point-source discharge entities, it is possible for local communities, educational institutions, and regulatory agencies to identify likely pollutant sources in a way that promotes higher water quality and long-term sustainability. Full article

Precision agriculture increasingly recognizes the transformative potential of unmanned aerial systems (UASs) for crop monitoring and field assessment, yet research consistently highlights significant usability barriers as the main constraints to widespread adoption. Complex mission planning processes, including detailed flight plan creation and way point management, pose substantial technical challenges that mainly affect non-expert operators. Farmers and their teams generally prefer user-friendly, straightforward tools, as evidenced by the rapid adoption of GPS guidance systems, which underscores the need for simpler mission planning in UAS operations. To enhance accessibility and safety in UAS control, especially for non-expert operators in agriculture and related fields, we propose a Secure UAS Control Framework (SAUCF): a comprehensive system for natural-language-driven UAS mission management with integrated dual-factor biometric authentication. The framework converts spoken user instructions into executable flight plans by leveraging a language-model-powered mission planner that interprets transcribed voice commands and generates context-aware operational directives, including takeoff, location monitoring, return-to-home, and landing operations. Mission orchestration is performed through a large language model (LLM) agent, coupled with a human-in-the-loop supervision mechanism that enables operators to review, adjust, or confirm mission plans before deployment. Additionally, SAUCF offers a manual override feature, allowing users to assume direct control or interrupt missions at any stage, ensuring safety and adaptability in dynamic environments. Proof-of-concept demonstrations on a UAS plat-form with on-board computing validated reliable speech-to-text transcription, biometric verification via voice matching and face authentication, and effective Sim2Real transfer of natural-language-driven mission plans from simulation environments to physical UAS operations. Initial evaluations showed that SAUCF reduced mission planning time, minimized command errors, and simplified complex multi-objective workflows compared to traditional waypoint-based tools, though comprehensive field validation remains necessary to confirm these preliminary findings. The integration of natural-language-based interaction, real-time identity verification, human-in-the-loop LLM orchestration, and manual override capabilities allows SAUCF to significantly lower the technical barrier to UAS operation while ensuring mission security, operational reliability, and operator agency in real-world conditions. These findings lay the groundwork for systematic field trials and suggest that prioritizing ease of operation in mission planning can drive broader deployment of UAS technologies. Full article

Artificial intelligence (AI) plays an important role in analyzing air quality, providing new insights that enable informed environmental policy decisions at the local level based on air pollution modeling and forecasting. The aim of this study is to analyze various hybrid AI methods to predict, model, and anticipate hourly ground-level ozone concentrations. Ground-level ozone concentrations impact human health and the environment. The data used in this study was downloaded from the website of the Romanian Agency for Environmental Protection and spans five years (2020–2024). The dataset comprises two categories of data: (i) seven meteorological parameters, including temperature (T), relative humidity, precipitation, air pressure, solar brightness, wind direction, and velocity; (ii) twenty air pollutants, including two types of particulate matter, carbon monoxide, sulfur dioxide, ground-level ozone, three types of nitrogen oxide, ammonia, six volatile organic compounds, and five toxic elements. The study follows a six-stage approach: (1) data preprocessing is conducted to identify and address anomalies, outliers, and missing values, while ozone trends are analyzed; (2) correlations between ozone concentrations and other variables are examined, considering only non-missing values; (3) data splitting is carried out in training and testing sets; (4) a total of 27 hybrid AI-based algorithms are applied to determine the optimal predictive model for ozone concentration based on related variables; (5) fifty feature selection methods are applied to find the most relevant predictors for predicting ozone concentration; (6) a novel deep NARMAX model is employed to model and anticipate hourly ozone levels in Craiova. Using a set of statistical metrics, the results of the models are assessed. This research provides a novel perspective on the robustness of the predictive performance of the proposed model. Full article

The Lower Passaic River (LPR), located within the New York/New Jersey Harbor Estuarine System, has experienced long-term industrial activities, resulting in elevated concentrations of trace metals in sediment and water. This study aims to assess the bioaccumulation behavior, potential human health risks, and sources of copper (Cu), lead (Pb), and mercury (Hg) in the LPR. Trace metal concentrations were measured in water, sediment, and seven edible aquatic species. Data were analyzed using statistical approaches, and evaluated by bioaccumulation factors (BAFs) and human health risk assessments based on U.S. Environmental Protection Agency (USEPA) guidelines. Results showed that Hg exhibited the highest bioaccumulation potential among the studied metals, except for Cu in Callinectes sapidus. Non-carcinogenic risks from the consumption of aquatic species followed the order Cu > Hg > Pb, with total target hazard quotient (TTHQ) values below 1, suggesting the non-carcinogenic health risk is negligible for adults and for most species in children, except C. sapidus and Morone americana. Carcinogenic risks for all species were within the acceptable threshold (Target Risk < 1 × 10⁻⁴). Sensitivity analysis indicated that body weight and exposure duration primarily influenced children’s carcinogenic risk, whereas trace metal concentrations were more significant for adults. Overall, this study provides insight into contaminant dynamics and health implications in a legacy-contaminated urban river system. Full article

Background/Objectives: Type 2 diabetes and obesity present escalating global health and economic challenges, highlighting the need for therapies that can effectively manage glycemic levels and reduce excess adiposity. Semaglutide, a glucagon-like peptide-1 receptor (GLP-1R) agonist available in subcutaneous or oral formulation, has quickly evolved from a theoretical concept to a crucial component of modern metabolic care. This review explores the comprehensive development journey of semaglutide, drawing on evidence from medicinal chemistry, animal studies, initial human trials, the pivotal SUSTAIN and STEP programs, and real-world post-marketing surveillance. Methods: We conducted a detailed analysis of preclinical data sets, Phase I–III clinical trials, regulatory documents, and pharmaco-epidemiological studies published between 2008 and 2025. Results: Through strategic molecular modifications, such as specific amino-acid substitutions and the addition of a C18 fatty-diacid side chain to enhance albumin binding, the half-life of the peptide was extended to approximately 160 h, allowing for weekly dosing. Studies in rodents and non-human primates showed that semaglutide effectively lowered blood glucose levels, reduced body weight, and preserved β-cells while maintaining a favorable safety profile. Phase I trials confirmed consistent pharmacokinetics and tolerability, while Phase II trials identified 0.5 mg and 1.0 mg once weekly as the most effective doses. The extensive SUSTAIN program validated significant reductions in HbA1c levels and weight loss compared to other treatments, as well as a 26% decrease in the relative risk of major adverse cardiovascular events (SUSTAIN-6). Subsequent STEP trials expanded the use of semaglutide to chronic weight management, revealing that nearly two-thirds of patients experienced a body weight reduction of at least 15%. Regulatory approvals from the FDA, EMA, and other regulatory agencies were obtained between 2017 and 2021, with ongoing research focusing on metabolic dysfunction-associated steatohepatitis, cardiovascular events, and chronic kidney disease. Conclusions: The trajectory of semaglutide exemplifies how intentional peptide design, iterative translational research, and outcome-driven clinical trial design can lead to groundbreaking therapies for complex metabolic disorders. Full article

This article examines how a Daoist sacred mountain community in east China historically intertwined its religious life with the rhythms of the natural world, thereby challenging the conventional divide between “nature” and “culture.” Centering on the sacred mountain Maoshan—renowned for its cult of transcendents and its symbolic association with migrating cranes—the study shows how annual pilgrimage cycles were deliberately synchronized with avian migration patterns. Drawing on classical texts, religious scriptures, gazetteers, steles and imperial edicts, we reveal that the timing of rituals and imperial edicts at Maoshan aligned with the cranes’ arrival and departure, regulating human activities like logging, hunting and farming in this holy landscape. Such evidence demonstrates that Chinese religious practice not only reflected cosmological beliefs but also actively modeled human lifeworlds on non-human cycles, blurring the boundary between the social and the ecological. Over two millennia, Maoshan’s integrated ritual–ecological system helped conserve biodiversity (by protecting habitat during key seasons) and reinforced a worldview in which humans and auspicious animals were partners in a shared cosmic order. As environmental conditions shifted in later eras—through deforestation, climate change, and social upheaval—this nature-attuned tradition was forced to adapt, illuminating both the potency and precarity of a cosmology grounded in predictable natural rhythms. By highlighting a case where religious institutions and animal agency co-produced a sustainable temporal regime, the study contributes to broader anthropological debates on relational ontology in East Asia. It suggests that classical Daoist cosmology, often classified as “analogist,” in fact operated as a form of relational monism: an enduring conviction that human society and the living environment are co-constitutive and continuous. Through the lens of Maoshan’s history, we reconsider how premodern models of “unity of Heaven and humanity” were pragmatically applied, and we explore their implications for reimagining nature–culture relationships amid the uncertainties of the Anthropocene. Full article

This conceptual paper analyzes the effects of Donald Trump’s 2025 authoritarian regime on refugees, the US Refugee Admissions Program, and resettlement. The second Trump presidency resumed his first term’s attempt (2017–2021) at seizing power. This time, his regime launched a more sophisticated authoritarian plan to destroy the US. His 2025 term is consolidating power in the president to target all forms of migration to the US, including dismantling the US Refugee Admissions Program (USRAP) through executive overreach, circumventing statutory refugee procedures, violating human and civil rights, and disregarding judicial constraints. On 20 January 2025, he used Executive Order 14163, “Realigning the United States Refugee Admissions Program,” to indefinitely suspend the admission and resettlement of refugees for 90 days. Exceptions are made on a case-by-case basis, with national interest and plans for a white nationalist state driving the decision. Refugees at any phase of the vetting process will be denied entry. Simultaneously, Executive Order 14169, “Reevaluating and Realigning United States Foreign Aid,” was signed on 20 January 2025, to pause the US dissemination of foreign aid for 90 days. Resumption would depend on a review determining foreign assistance alignment with national interests. The implementation of Executive Order 14169 further dismantled the USRAP infrastructure by stripping federal agencies of personnel and budgets that support resettled refugees through a “stop work order” issued by the Department of State’s Bureau of Population, Refugees, and Migration (PRM) on 24 January 2025. Refugee resettlement agencies, non-profits, and faith-based organizations are vital to welcoming and assisting refugees as they adjust to their new lives. These critical organizations are now struggling to provide services to resettled refugees. Additionally, escalated, arbitrary, racially profiled deportations of alleged criminal undocumented immigrants have increased anxiety and fear among resettled refugee communities. Subsequently, the Trump administration’s indefinite suspension of the USRAP, effective from 2025 to 2028 and beyond, will impact refugees, their families, and the resettlement network. Truly, the survival of the USRAP depends on an administration that upholds the Constitution, democratic values, and the significance of US diplomatic global leadership, replacing this regime. Full article

80 years of Chilean rock art research, from its early descriptive stages in the 1940s to the present-day integration of relational ontologies, archaeometric techniques, and interdisciplinary perspectives, is reviewed. 562 publications are analysed, covering four major regions: the Arid North, Semi-Arid North, South-Central, and Southernmost Chile. Drawing from a systematically constructed corpus, we trace the evolution of research questions, theoretical orientations, and methodologies over time, with attention to regional trends and institutional dynamics. Results reveal a gradual shift from typological classification toward more complex approaches addressing mobility, landscape, coloniality, visual agency, and human/non-human relationships. The Arid North emerges as the primary centre of innovation, while southern regions remain in exploratory stages despite recent advances. Comparison with global research trajectories shows how Chile’s situated approaches—marked by decentralisation, theoretical pluralism, and critical reflection—contribute to decolonial and southern perspectives in rock art studies. Rather than reproducing hegemonic models, Chilean scholarship offers alternative epistemologies rooted in context-specific materiality and historical processes. The review highlights the potential of Chilean rock art research to expand the theoretical and methodological horizons of the discipline, positioning it as a fertile field for dialogue with contemporary archaeology and global visual studies. Full article

Humans form deep attachments to some nonhuman animals, yet these attachments are unequally distributed across the tree of life. Drawing on evolutionary biology, comparative cognition, neuroscience, and cultural anthropology, this narrative review explains why empathy and affective preference are typically stronger for phylogenetically closer species—especially mammals—than for distant taxa such as reptiles, fish, or arthropods. We synthesize evidence that signal recognizability (faces, gaze, vocal formants, biological motion) and predictive social cognition facilitate mind attribution to mammals; conserved neuroendocrine systems (e.g., oxytocin) further amplify affiliative exchange, particularly in domesticated dyads (e.g., dog–human). Ontogenetic learning and media narratives magnify these effects, while fear modules and disgust shape responses to some distant taxa. Notwithstanding this average gradient, boundary cases—cephalopods, cetaceans, parrots—show that perceived agency, sociality, and communicative transparency can overcome phylogenetic distance. We discuss measurement (behavioral, psychophysiological, neuroimaging), computational accounts in predictive-processing terms, and implications for animal welfare and conservation. Pragmatically, calibrated anthropomorphism, hands-on education, and messaging that highlights agency, parental care, or ecological function reliably broaden concern for under-represented taxa. Recognizing both evolved priors and cultural plasticity enables more equitable and effective science communication and policy. Expanding empathy beyond its ancestral anchors is not only an ethical imperative but a One Health necessity: safeguarding all species means safeguarding the integrity of our shared planetary life. Full article