Search Results (114)

We present a model that integrates the mapping of the phenology and climatic suitability for the spotted lanternfly (SLF), Lycorma delicatula (White, 1845) (Hemiptera: Fulgoridae), to provide guidance on when and where to conduct surveillance and management of this highly invasive pest. The model was designed for use in the Degree-Day, Establishment Risk, and Phenological Event Maps (DDRP) platform, which is an open-source decision support tool to help to detect, monitor, and manage invasive threats. We validated the model using presence records and phenological observations derived from monitoring studies and the iNaturalist database. The model performed well, with more than >99.9% of the presence records included in the potential distribution for North America, a large proportion of the iNaturalist observations correctly predicted, and a low error rate for dates of the first appearance of adults. Cold and heat stresses were insufficient to exclude the SLF from most areas of the conterminous United States (CONUS), but an inability for the pest to complete its life cycle in cold areas may hinder establishment. The appearance of adults occurred several months earlier in warmer regions of North America and Europe, which suggests that host plants in these areas may experience stronger feeding pressure. The near-real-time forecasts produced by the model are available at USPest.org and the USA National Phenology Network to support decision making for the CONUS. Forecasts of egg hatch and the appearance of adults are particularly relevant for surveillance to prevent new establishments and for managing existing populations. Full article

This paper proposes a multi-hop peer-to-peer (P2P) video streaming architecture designed to support dynamic, conversation-aware communication. The primary contribution is a decentralized system built on WebRTC that eliminates reliance on a central media server by employing super node aggregation. In this architecture, video streams from multiple peer nodes are dynamically routed through a group of super nodes, enabling real-time reconfiguration of the network topology in response to conversational changes. To support this dynamic behavior, the system leverages WebRTC data channels for control signaling and overlay restructuring, allowing efficient dissemination of topology updates and coordination messages among peers. A key focus of this study is the rapid and efficient reallocation of network resources immediately following conversational events, ensuring that the streaming overlay remains aligned with ongoing interaction patterns. While the automatic detection of such events is beyond the scope of this work, we assume that external triggers are available to initiate topology updates. To validate the effectiveness of the proposed system, we construct a simulation environment using Docker containers and evaluate its streaming performance under dynamic network conditions. The results demonstrate the system’s applicability to adaptive, naturalistic communication scenarios. Finally, we discuss future directions, including the seamless integration of external trigger sources and enhanced support for flexible, context-sensitive interaction frameworks. Full article

Insect pests remain a major threat to agricultural productivity, particularly in open-field cropping systems where conventional monitoring methods are labor-intensive and lack scalability. This study presents the design, implementation, and field evaluation of a neural network-guided smart trap specifically developed to monitor and selectively capture nocturnal insect pests under real agricultural conditions. The proposed trap integrates light and rain sensors, servo-controlled mechanical gates, and a single-layer perceptron neural network deployed on an ATmega-2560 microcontroller by Microchip Technology Inc. (Chandler, AZ, USA). The perceptron processes normalized sensor inputs to autonomously decide, in real time, whether to open or close the gate, thereby enhancing the selectivity of insect capture. The system features a removable tray containing a food-based attractant and yellow and green LEDs designed to lure target species such as moths and flies from the orders Lepidoptera and Diptera. Field trials were conducted between June and August 2023 in La Barca, Jalisco, Mexico, under diverse environmental conditions. Captured insects were analyzed and classified using the iNaturalist platform, with the successful identification of key pest species including Tetanolita floridiana, Synchlora spp., Estigmene acrea, Sphingomorpha chlorea, Gymnoscelis rufifasciata, and Musca domestica, while minimizing the capture of non-target organisms such as Carpophilus spp., Hexagenia limbata, and Chrysoperla spp. Statistical analysis using the Kruskal–Wallis test confirmed significant differences in capture rates across environmental conditions. The results highlight the potential of this low-cost device to improve pest monitoring accuracy, and lay the groundwork for the future integration of more advanced AI-based classification and species recognition systems targeting nocturnal Lepidoptera and other pest insects. Full article

The presence of culturally and linguistically diverse children increases in early education classrooms worldwide. In monolingual education settings, multilingual children are at a disadvantage regarding their learning opportunities compared to monolingual children. Knowledge about how monolingual educators support children in a multilingual classroom has not been systematized yet. The present scoping review aims to synthesize the existing empirical evidence on (a) characteristics of the learning environment of monolingual teachers with multilingual children and (b) how teacher characteristics relate to the learning environment characteristics in early education institutions worldwide. The inclusion criteria used in this review included articles that report empirical evidence from 1990 to 2024, with multilingual children aged 0–6 of minoritized languages and monolingual teacher practices within a naturalist environment. Subsequently, through the PRISMA-ScR method on the articles found in the WOS and SCIELO databases, 40 articles were included with qualitative, quantitative, and mixed-methods designs. The results showed that in the Latin American context, culturally responsive practices are scarce for bilingual children with immigrant backgrounds. In the USA and European contexts, educators are more likely to implement activities that include children’s L1, even if they have limited knowledge of that language. The international perspective of this review allows us to identify contributions and challenges in different geographic regions. Full article

Functional near-infrared spectroscopy (fNIRS) allows non-invasive assessment of cortical activity during naturalistic tasks. This study aimed to compare cortical activation dynamics—specifically the latency (t_max) and amplitude (ΔoxyHb) of oxygenated haemoglobin changes—in passive observation and an interactive task using the Nefroball system. A total of 117 healthy adults performed two tasks involving rhythmic hand movements: a passive protocol and an interactive game-controlled condition. fNIRS recorded signals from the visual, parietal, motor, and prefrontal cortices of the left hemisphere. The Mann–Whitney test revealed significantly shorter t_max in all areas during the interactive task, suggesting faster recruitment of cortical networks. ΔoxyHb amplitude was significantly higher only in the visual cortex during the interactive task, indicating increased visual processing demand. No significant ΔoxyHb differences were observed in the motor, prefrontal, or parietal cortices. Weak but significant positive correlations were found between tmax and ΔoxyHb in the motor and prefrontal regions, but only in the passive condition. These findings support the notion that interactive tasks elicit faster, though not necessarily stronger, cortical responses. The results have potential implications for designing rehabilitation protocols and brain–computer interfaces involving visual–motor integration. Full article

Background: Multicultural education and second-language acquisition engaged neural networks, supporting executive function, memory, and social cognition in adulthood, represent powerful forms of brain-inspired multisensory learning. The neuroeducational framework integrates neuroscience with pedagogical practice to understand how linguistically and culturally rich environments drive neuroplasticity and cognitive adaptation in adult learners. Objective: This systematic review synthesizes findings from 80 studies examining neuroplasticity and cognitive outcomes in adults undergoing multicultural and second-language acquisition, focusing on underlying neural mechanisms and educational effectiveness. Methods: The analysis included randomized controlled trials and longitudinal studies employing diverse neuroimaging techniques (fMRI, MEG, DTI) to assess structural and functional brain network changes. Interventions varied in terms of immersion intensity (ranging from limited classroom contact to complete environmental immersion), multimodal approaches (integrating visual, auditory, and kinesthetic elements), feedback mechanisms (immediate vs. delayed, social vs. automated), and learning contexts (formal instruction, naturalistic acquisition, and technology-enhanced environments). Outcomes encompassed cognitive domains (executive function, working memory, attention) and socio-emotional processes (empathy, cultural adaptation). Results: Strong evidence demonstrates that multicultural and second-language acquisition induce specific neuroplastic adaptations, including enhanced connectivity between language and executive networks, increased cortical thickness in frontal–temporal regions, and white matter reorganization supporting processing efficiency. These neural changes are correlated with significant improvements in working memory, attentional control, and cognitive flexibility. Immersion intensity, multimodal design features, learning context, and individual differences, including age and sociocultural background, moderate the effectiveness of interventions across adult populations. Conclusions: Adult multicultural and second-language acquisition represents a biologically aligned educational approach that leverages natural neuroplastic mechanisms to enhance cognitive resilience. Findings support the design of interventions that engage integrated neural networks through rich, culturally relevant environments, with significant implications for cognitive health across the adult lifespan and for evidence-based educational practice. Full article

Background: Alcohol use disorder in the context of heroin addiction presents a significant challenge for clinicians, particularly in selecting the most appropriate pharmacological treatment. Methods: The present study aimed to retrospectively evaluate the efficacy of a six-month methadone maintenance (MM)/sodium oxybate (SMO) combination treatment in reducing ethanol intake among chronic alcohol-dependent patients with heroin use disorder (HUD). Specifically, we compared outcomes between those who continued SMO treatment after alcohol detoxification (MM/SMO-Maintained) and those who discontinued it (MM/SMO-Detoxified). Data were recruited using the ‘Pisa Addiction Database’ through a retrospective, naturalistic, cross-sectional comparative design involving a single patient assessment. Results: Our results indicate that treatment retention was higher in the MM/SMO-Maintained group. Conversely, discontinuing SMO treatment after alcohol detoxification was associated with a higher likelihood of dropout. At the endpoint, the MM/SMO-Maintained group showed significant improvement and was considered less severely ill. Conclusions: Long-term SMO treatment has proven to be well tolerated and effective in preventing relapse in individuals with both alcohol and HUD undergoing agonist opioid treatment. SMO may be considered the closest pharmacological option to substitution therapy for alcohol use disorder, and ongoing agonist opioid treatment should not preclude its co-administration. Full article

Grasslands and livestock are essential to support the diversity of soils, plants, and animals. This study analyzes changes that occurred from 2019 to 2022 in two protected pasture areas of the Italian Apennines, designated as UNESCO (area 1) and NATURA2000 (area 2). In each area, three sampling sites were identified and georeferenced, and the soil was studied. Forage quality and productivity were assessed from botanical and chemical perspectives using biomass samples. Adult bovine unit and grazing index were calculated. Soils, classified as Phaeozems in area 1 and Fluvisols in area 2, exhibit a weak structure with an increased risk of compaction and erosion. The height of forage species and vegetal diversity increased during the study, and variations in botanical and chemical composition were observed. Forage productivity averaged 2760 (±1380 SEM) kg DM/ha in area 1 and 3740 (±1160) kg DM/ha in area 2. Animal population declined by 11.4% in area 1 and by 1.14% in area 2, along with a decrease in the number of livestock farms. From a multidisciplinary perspective, improving management would enhance the ecosystem services of pasture areas, including promoting the role of soil as a carbon sink. The results present means of resilience to enhance cultural and naturalistic values of sites in inner Mediterranean ecosystems. Full article

Research involving non-human primates remains a cornerstone in fields such as biomedical research and systems neuroscience. However, the daily routines of laboratory work can induce stress in these animals, potentially compromising their well-being and the reliability of experimental outcomes. To address this, many laboratories have adopted home-cage training protocols to mitigate stress caused by routine procedures such as transport and restraint—a factor that can impact both macaque physiology and experimental validity. This review explores the primary methods and experimental setups employed in home-cage training, highlighting their potential not only to address ethical concerns surrounding animal welfare but also to reduce training time and risks for the researchers. Furthermore, by combining home-cage training with wireless recordings, it becomes possible to expand research opportunities in behavioral neurophysiology with non-human primates. This approach enables the study of various cognitive processes in more naturalistic settings, thereby increasing the ecological validity of scientific findings through innovative experimental designs that thoroughly investigate the complexity of the animals’ natural behavior. Full article

Cohesive human–robot collaboration can be achieved through seamless communication between human and robot partners. We posit that the design aspects of human–robot communication (HRCom) can take inspiration from human communication to create more intuitive systems. A key component of HRCom systems is perception models developed using machine learning. Being data-driven, these models suffer from the dearth of comprehensive, labelled datasets while models trained on standard, publicly available datasets do not generalize well to application-specific scenarios. Complex interactions and real-world variability lead to shifts in data that require domain adaptation by the models. Existing domain adaptation techniques do not account for incommensurable modes of communication between humans and robot perception systems. Taking into account these challenges, a novel framework is presented that leverages existing domain adaptation techniques off-the-shelf and uses statistical measures to start and stop the training of models when they encounter domain-shifted data. Statistically informed multimodal (domain adaptation by transfer) learning (SIMLea) takes inspiration from human communication to use human feedback to auto-label for iterative domain adaptation. The framework can handle incommensurable multimodal inputs, is mode and model agnostic, and allows statistically informed extension of datasets, leading to more intuitive and naturalistic HRCom systems. Full article

Since the advent of modern technology, various e-learning initiatives have been implemented in schools. Although such initiatives have enhanced English as a second language (ESL) teachers’ technological knowledge, these teachers continue to struggle with technology integration due to their limited technological pedagogical knowledge. This study investigates how technology has been integrated into classrooms in various ways through a naturalist approach. It employs a qualitative multi-case study research design to investigate the practices of three English teachers who were responsible for IT in English education. Data were collected through observations, field notes, interviews and teachers’ reflections and analysed using a combination of inductive and deductive coding techniques, with the latter enhanced by two conceptual frameworks: the technological, pedagogical content knowledge (TPACK) model and Puentedura’s, augmentation, modification and redefinition (SAMR) model. The findings present a typology of five kinds of technological tools and three domains of pedagogical purposes achieved by technology in ESL teaching. This typology provides references and guidance for ESL teachers who lack TPACK, helping them to effectively integrate technology in a way that enhances their teaching. Moreover, this typology gives way to an improved TPACK framework in English language teaching (ELT), providing a greater conceptual understanding of the relationships among the constructs of technological knowledge, technological pedagogical knowledge and technological and content knowledge. Full article

It is imperative that researchers include the perspectives from key voices regarding early support practices, yet very few studies have included direct assessment of autistic individuals and parents of young autistic children. Despite emerging evidence of effectiveness of naturalistic developmental behavioral intervention (NDBI) strategies, it is currently unknown whether autistic adults and parents of autistic individuals know about NDBI and if they view NDBI strategies as socially valid practice. We aimed to explore the perceptions of autistic adults and parents of young autistic children regarding the social validity of NDBI strategies implemented in community preschool classrooms and their dissemination potential. We conducted a convergent mixed methods research design to collect quantitative survey data and qualitative semi-structured interview data. We received survey responses from 33 autistic adults and 37 parents of young autistic children and interviewed 12 autistic adults and 12 parents of young autistic children. We conducted a series of paired samples and independent samples t-tests to compare perceptions between groups and thematic analysis to analyze qualitative data. Results indicated high levels of social validity for NDBI across both groups of participants and the need for dissemination of NDBI. Agreement between autistic adults and parents of young autistic children on the social validity of NDBI and recommendations for dissemination are promising preliminary findings that NDBI researchers and practitioners may draw upon when engaging in collaborative support planning and participatory research efforts. Full article

In recent years, global warming has become a major driver of biodiversity loss, significantly impacting various vertebrate species, including mammals. Consequently, numerous smaller species face extinction risks due to anthropogenic factors as well as inadequate assessments and conservation planning. Thus, this study focuses on two recently described endemic giant flying squirrel species under the Petaurista genus—Petaurista mishmiensis and Petaurista mechukaensis—found in Arunachal Pradesh, India. Using an ensemble species distribution model (SDM), this research delineates suitable habitats for these lesser-known species and evaluates the effects of climate change and habitat fragmentation on these areas. This analysis aims to inform a comprehensive management plan for their conservation. The ensemble model identified suitable habitat patches for the two species, extending beyond their current IUCN-designated ranges in Arunachal Pradesh. Under present conditions, P. mishmiensis has the largest predicted suitable area (9213 sq. km), followed by P. mechukaensis (6754 sq. km). However, future projections reveal alarming habitat losses ranging from 13.45% to 55.86% across the study area. This study also highlights severe habitat fragmentation throughout the state as viable patches for P. mishmiensis are drastically reduced in size, resulting in many being completely lost and the remaining areas being closer together. However, the P. mechukaensis experiences significant disintegration, resulting in numerous smaller, more dispersed patches within Arunachal Pradesh. Hence, to address these challenges, this study recommends several actions such as genetic assessments to confirm evolutionary relationships, evaluations of corridor connectivity, and comprehensive field studies. Furthermore, establishing joint forest conservation committees involving local communities, forest personnel, defense forces, naturalists, and scientists are also encouraged. Ultimately, this research provides critical insights for guiding future field studies across Arunachal Pradesh’s vast landscapes and supports the development of detailed species management plans to protect these endemic flying squirrels. Full article

Pedestrian walkways are essential elements of university campus design and urban planning. The function of campus walkways is not only safe walking but also to hold many social activities like interacting and socializing. This paper aims to assess design criteria of successful walkways in the middle eastern arid campus. To achieve the aim, a mixed research methodological approach is adopted whereby a number of qualitative and quantitative methods like naturalistic observation on a case, in-depth interviews, and questionnaire survey are employed to gather data. The study outcomes include a framework of 10 design assessment criteria of successful campus walkways. The shortcomings of middle eastern campus walkways are ranked according to their importance whereby the most and least important shortcomings are identified as the “lack of barrier free environment” and “lack of greeneries along the walkways”, respectively. Full article

Background and Objectives: Substance use disorders (SUDs) affect millions worldwide. Despite increasing drug use, treatment options remain limited. Psychedelic-assisted therapy (PAT), integrating psychedelic substances with psychotherapy, offers a promising alternative by addressing underlying neural mechanisms. Materials and Methods: This review’s purpose is to investigate the current understanding of psychedelic therapy for treating SUDs, including tobacco, alcohol, and drug addiction. The systematic review approach focused on clinical trials and randomized controlled trials conducted from 2013 to 2023. The search was performed using PubMed, Google Scholar, and Consensus AI, following PRISMA guidelines. Studies involving psychedelics like LSD, psilocybin, ibogaine, and ayahuasca for treating various addictions were included, excluding naturalistic studies and reviews. Results: Our results highlight the key findings from 16 clinical trials investigating psychedelic therapy for SUDs. Psychedelics like psilocybin and ayahuasca showed promise in reducing alcohol and tobacco dependence, with psilocybin being particularly effective in decreasing cravings and promoting long-term abstinence. The studies revealed significant improvements in substance use reduction, especially when combined with psychotherapy. However, the variability in dosages and study design calls for more standardized approaches. These findings emphasize the potential of psychedelics in SUD treatment, though further large-scale research is needed to validate these results and develop consistent protocols. Conclusions: This research reviewed the past decade’s international experience, emphasizing the growing potential of psychedelic therapy in treating SUDs pertaining to alcohol, tobacco, and cocaine dependence. Psychedelics such as psilocybin and ketamine can reduce cravings and promote psychological well-being, especially when combined with psychotherapy. However, regulatory barriers and specialized clinical training are necessary to integrate these therapies into mainstream addiction treatment safely. Psychedelics offer a promising alternative for those unresponsive to conventional methods. Full article