Natural Systems Research Articles

Applying the Panarchy Framework to Examining Post-Pandemic Adaptation in the Undergraduate Medical Education Environment: A Qualitative Study

Phenomenon: The COVID-19 pandemic necessitated an abrupt shift to online medical education, disrupting learning across knowledge, skills, and social connections. Post-pandemic, medical schools must evaluate how these disruptions shaped student experiences to optimize the return to in-person learning. Approach: This cross-sectional qualitative study explored medical students’ perceptions of their learning environment during the post-pandemic reintegration period in Oman. Fifty-four preclinical and clinical students participated in six focus group interviews. Content analysis identified key topics characterizing students’ perceptions of change and change processes in the post-pandemic learning environment. The panarchy framework, developed to characterize complex adaptive systems in nature, was used to frame the results. Findings: The return to in-person environments presented a mix of renewed connectivity, involving collaborative benefits alongside transitional adjustment strains. Five major topics characterizing student perceptions of change and change processes in their post-pandemic learning environment were identified: learning skills, developing clinical competence, faculty interactions, physical atmosphere, and social connections. Managing academic schedules and cognitive load as the learning environment opened challenged students’ learning skills. Learners valued a renewed opportunity for interactive application of knowledge through collaboration, patient contact, and empathy skill-building to feel prepared for future practice. Returning to in-person instruction renewed a sense of community and peer support networks disrupted by pandemic isolation. Some students continued to struggle with study-life imbalance and felt ill-equipped to handle post-pandemic demands. Improved access to student support and wellness services was emphasized to ease transitional stresses. Students defined an ideal learning climate as supportive, active, personalized, relevant, challenging, accessible, and collaborative. Insights: While pandemic disruptions posed challenges, they provide opportunities to strengthen the educational system’s resilience moving forward. Our findings highlight an opportunity for medical educators and learners to capitalize on the innovations that emerged during this period, integrating technology with interactive learning activities and reconnecting students with the core values of the medical profession. Applying the panarchy framework to frame this adaptive process could enable the tracking of multi-level interactions within the medical education environment and the evaluation of interventions targeted at identified areas of concern. Further exploration to achieve complete mapping of specific environmental domains onto the panarchical cycles merits future investigation to build integrated resilience frameworks.

Water resource safety assessment of the Hexi inland river of China based on the PSR model

ABSTRACT The Hexi Corridor is located in northwest China, and its water resources mainly rely on meltwater from the Qilian Mountains and limited precipitation. The Hexi Corridor is an important regional population center and grain production area. However, limited rainfall restricts regional development due to inadequate water resources. Assessing water resource security in the Hexi region and providing targeted recommendations are crucial for rational planning and utilization of water resources, protecting the ecological environment, and promoting development. This study employs the entropy weight method to construct a pressure-state-response (PSR) system, assessing the water resource security of various river basins in the Hexi inland area. The evaluation results indicate that since the 21st century, the comprehensive water resource security scores of the three river basins have shown an upward trend. Specifically, the economic and social systems of the Shule River Basin and Heihe River Basin are improving, while their natural systems are declining; all three systems in the Shiyang River Basin are improving. Based on these results, targeted recommendations for different areas are proposed, providing a basis for enhancing water resource security in the region.

Measuring the benefit of a defensive trait: Vigilance and survival probability.

Defensive traits are hypothesized to benefit prey by reducing predation risk from a focal predator but come at a cost to the fitness of the prey. Variation in the expression of defensive traits is seen among individuals within the same population, and in the same individual in response to changes in the environment (i.e., phenotypically plastic responses). It is the relative magnitude of the cost and benefit of the defensive trait that underlies the defensive trait expression and its consequences to the community. However, whereas the cost has received much attention in ecological research, the benefit is seldom examined. Even in a defensive trait as extensively studied as vigilance, there are few studies of the purported benefit of the behavior, namely that vigilance enhances survival. We examined whether prey vigilance increased survival and quantified that benefit in a natural system, with white-tailed deer (Odocoileus virginianus) experiencing unmanipulated levels of predation risk from Florida panther (Puma concolor coryi). Deer that spent more time vigilant (as measured by head position using camera trap data) had a higher probability of survival. Indeed, an individual deer that was vigilant 75% of the time was more than three times as likely to be killed by panthers over the course of a year than a deer that was vigilant 95% of the time. Our results therefore show that within-population variation in the expression of a defensive trait has profound consequences for the benefit it confers. Our results provide empirical evidence supporting a long-held but seldom-tested hypothesis, that vigilance is a behavior that reduces the probability of predation and quantifies the benefit of this defensive trait. Our work furthers an understanding of the net effects of a trait on prey fitness and predator-prey interactions, within-population variation in traits, and predation risk effects.

Progress in models for coupled human and natural systems

Progress in models for coupled human and natural systems

Biomineralization and biomechanical trade-offs under heterogeneous environments in the eastern oyster Crassostrea virginica

ABSTRACT Accurate biological models are critical to reliably predict vulnerability of marine organisms and ecosystems to rapid environmental changes. Current predictions on the biological impacts of climate change and human-caused disturbances primarily stem from controlled experiments but lack assessments of the mechanisms underlying biotic variations in natural systems, especially for habitat-forming, climate-sensitive species with key ecological roles. This study aimed to characterize and quantify spatial patterns of shell biomineralization and biomechanical properties in a key reef-building oyster, Crassostrea virginica, collected from restored reefs along natural estuarine gradients in the Hudson River Estuary (NY, USA). We characterized patterns of oyster shell deposition, structure, composition and mechanical performance at the macro- and microscale. Eastern oysters show a strong capacity for adjustments in shell biomineralization and biomechanics to maintain shell production and protective functions. We reveal salinity as a key predictor of oyster shell structure, mechanical integrity and resistance to dissolution, and describe the functional role of chalky calcite in shaping shell mechanical performance. Changes in shell production along salinity gradients indicate formation of shells with (1) high mechanical resistance but increased vulnerability to dissolution under marine conditions and (2) lower structural integrity but higher protection from dissolution under brackish conditions. Our work illustrates that biomineralization and biomechanical trade-offs may act as mechanisms in eastern oysters to maintain overall performance under heterogeneous estuarine environments and could represent a cornerstone for calcifying organisms to acclimate and maintain their ecological functions in a rapidly changing climate.

ОЦЕНКА СОВРЕМЕННОЙ ЛАНДШАФТНОЙ СТРУКТУРЫ ЗАПАДНО-КАЗАХСТАНСКОГО РЕГИОНА

The article presents an assessment of the modern landscape structure of the Western Kazakhstan region, based on the developed map of modern landscapes, made at a scale of 1:1 500,000. Based on the assessment, it was established that in the landscape structure of the entire region, the largest areas are occupied by landscape types of elevated stratal plains (17.8 % of the region’s area) and structural plateaus (14.6 %). Qualitative and quantitative analysis of landscape structure and assessment of dynamic trends in landscape transformation made it possible to establish that within the steppe and dry-steppe zones of the studied region, anthropogenically transformed natural-territorial complexes (NTC) take place in almost all identified types of landscapes and occupy 51.2 and 42.6 % of the NTC area in ​​these zones. Within the natural complexes of semi-arid and arid natural zones, 29.9 and 23.2 % of their area are anthropogenically transformed. On the basis of the regional assessment of the modern landscape structure, environmental standards for anthropogenic loads and approaches to organizing a system of rational environmental management, aimed at the sustainable functioning of natural and economic systems, are developed.

INNOVATION AND SUSTAINABILITY: HOW DID A JUNIOR DENTISTRY COMPANY ACHIEVE THESE GOALS?

Climate change, driven by human activities, has caused serious impacts on natural and human systems, demanding sustainable practices, including in dentistry. The Junior Dentistry Company of UEM created an Ecopoint for the disposal of used toothbrushes, aiming to promote environmental awareness and the reuse of materials. This article discusses the implementation of the Ecopoint, its environmental and social effects, and how this initiative can inspire other sustainable actions in the area.

바이오디자인의 변화와 확장 가능성 고찰 - 최근 5년간의 변화에 한정하여

Bio-design is evolving into a significant field of design under the paradigm of sustainability. The methods and types of design in this field are diverse, ranging from designs that utilize scientific knowledge and technologies from biology, to those that adhere to traditional, handcrafted methods using local materials or involving communities. Particularly, there is a wide and rapid expansion of attempts to harness new materials derived from organisms like plants and animals, as well as to apply natural structures, systems, and processes. Now, it is time to address the challenges of moving to the next stage. To this end, this study examines the current trends and future tasks for the expansion of bio-design by synthesizing case analyses of recent changes in the field and the content derived from interviews with experts in this domain. The results of the study reveal various issues and challenges, including the exploration of bio-design as an alternative in daily life beyond mere aesthetics, the initiation of mass production attempts, the emphasis on the meaning or value of design rather than the novelty of materials, the need for government or corporate-driven development, and the necessity for serious consideration of functionality and utility beyond stylistic aspects. This study aims to serve as a foundation for future discussions to ensure that bio-design continues to fulfill its role within the design industry and solidifies its position as a significant branch of industrial design.

Overview of Methylation and Demethylation Mechanisms and Influencing Factors of Mercury in Water.

Mercury, particularly in its methylated form, poses a significant environmental and health risk in aquatic ecosystems. While the toxicity and bioaccumulation of mercury are well documented, there remains a critical gap in our understanding of the mechanisms governing mercury methylation and demethylation in aquatic environments. This review systematically examines the complex interplay of chemical, biological, and physical factors that influence mercury speciation and transformation in natural water systems. We provide a comprehensive analysis of methylation and demethylation processes, specifically focusing on the dominant role of methanogenic bacteria. Our study highlights the crucial function of hgcAB genes in facilitating mercury methylation by anaerobic microorganisms, an area that represents a frontier in current research. By synthesizing the existing knowledge and identifying key research priorities, this review offers novel insights into the intricate dynamics of mercury cycling in aquatic ecosystems. Our findings provide a theoretical framework to inform future studies and guide pollution management strategies for mercury and its compounds in aquatic environments.

Geological hazards when justifying the regulations of urban development

Relevance. Territorial planning of cities determines the reduction or prevention of possible or existing losses of the population, economic facilities and the environment from technoprirodnye hazards of different genesis. The effectiveness of planning regulations for urban development depends on the degree of validity of identification and forecasts of the occurrence and evolution of hazardous natural and technogenic processes in time and space. This, in its turn, is determined by the reliability of our ideas about the patterns of their formation and regional distribution. Aim. To identify geological hazards and propose the main engineering and geological constraints in urban planning on the example of Gomel. Objects. Natural and technical system "geological environment – technogenic impacts – hazardous natural and technoprirodnye processes". Methods. Systematic approach to the analysis of patterns of formation of hazardous natural and technoprirodic processes in the city; numerical modeling of geofiltration and geomigration processes based on the geofiltration model "GOMEL". Results. The most characteristic dangerous natural and technoprirodnye processes have been established on the example of the city of Gomel. Priority areas for the introduction of planning restrictions: tectonic situation; man-made flooding, were identified. Soil conditions are considered separately as one of the factors effecting the precipitation of natural and artificial bases under the influence of loads from civil and industrial buildings and structures. The authors have revealed the presence of disjunctive, as well as plicative in the form of flexures, age-varying and multi-scale dislocations forming the block structure of the upper part of the earth's crust of the city. It is shown that from the point of view of the stability of engineering structures, the absolute values of the velocities of long-period unidirectional block displacements are dangerous during long-term operation of structures located in interblock active zones. At the same time, short-period multidirectional movements in the active geodynamic zones of the articulation of blocks cause a change in the slope and bending of the foundations of structures. The paper introduces the engineering-geological features of the most common surface deposits: the terrigenous gray-colored formation of the Paleogene; glacial, periglacial and extraglacial formations of anthropogenic origin and their facies-genetic complexes. The authors identified the potential natural and technological hazards associated with the marked deposits. The paper demonstrates the causes and mechanisms of the formation of technogenic flooding of the city, as well as the genesis of the decrease in the deformation properties of moraine sandy loam with a technogenic increase in humidity. It is concluded that when establishing land use regulations for a city, as a rule, general measures cannot be taken, both for its entire territory and for certain stages of construction activity. The paper introduces the corresponding restrictions on the use of subsoil.

SketchQL: Video Moment Querying with a Visual Query Interface

Localizing video moments based on the movement patterns of objects is an important task in video analytics. Existing video analytics systems offer two types of querying interfaces based on natural language and SQL, respectively. However, both types of interfaces have major limitations. SQL-based systems require high query specification time, whereas natural language-based systems require large training datasets to achieve satisfactory retrieval accuracy. To address these limitations, we present SketchQL, a video database management system (VDBMS) for offline, exploratory video moment retrieval that is both easy to use and generalizes well across multiple video moment datasets. To improve ease-of-use, SketchQL features a visual query interface that enables users to sketch complex visual queries through intuitive drag-and-drop actions. To improve generalizability, SketchQL operates on object-tracking primitives that are reliably extracted across various datasets using pre-trained models. We present a learned similarity search algorithm for retrieving video moments closely matching the user's visual query based on object trajectories. SketchQL trains the model on a diverse dataset generated with a novel simulator, that enhances its accuracy across a wide array of datasets and queries. We evaluate SketchQL on four real-world datasets with nine queries, demonstrating its superior usability and retrieval accuracy over state-of-the-art VDBMSs.

Geometrical characterization of fracture systems using point clouds and SELF-Software: example of the Añisclo anticline carbonate platform, Central Pyrenees

Natural fracture systems contribute significantly to rock mass anisotropies. Characterizing these systems is essential for understanding processes of fluid flow, energy exploration and storage, slope stability or tectonic processes that can affect the permeability or compaction of the material, as well as reflect its temporal evolution. This work presents a set of automatic and supervised algorithms integrated into the open-access software solution SEFL, designed to characterize fracture systems using remote sensing data sets. The software implements various strategies to quantify geometrical parameters with deterministic or stochastic descriptions, facilitating a detailed characterization of the fracture system for numerical simulations. Geological outcrops provide direct access to the rock masses and discontinuities, offering analogies with materials that are otherwise inaccessible for its direct study. The digital acquisition of the terrain using high-resolution techniques, such as Terrestrial Laser Scanner (TLS) or photogrammetry to obtain point clouds, enabled post-field studies, particularly for fracture systems that are complex, inaccessible, or large in scale. Additionally, SEFL offers a tool based on the concept of fracture stratigraphy to identify mechanical units, which are essential frameworks for measuring and calculating fracture properties. This new methodology has been applied to study the fractured Eocene limestone outcrop at the hinge of the Añisclo anticline (South-Central Pyrenees, NE Iberia) which has been digitally acquired and characterized. SEFL output data interpretations revealed an outcrop characterized by over two thousand modelled fractures, five fracture sets, fourteen fracture stratigraphic units, and 1-2 fractures/m.

Energy Sources in Natural and Anthropogenic Ecosystems

This study makes an inventory, a classification and a SWOT analysis of all energy sources that support the functionality of natural and man-made systems. The analysis is carried out at the planetary level, taking into account the entire ecosphere. It is an interdisciplinary study based on literature, integrating information from the field of ecology with that of physics, chemistry, biology, meteorology, and geography. The study carries out an inventory of all types of energy sources; makes a classification of these sources according to their origin and determines which is the most advantageous source through a SWOT analysis. The entire activity of the earth is supported by two large categories of energy sources, namely solar energy and telluric energy. Currently, ten types of energy sources are used or are in the experimental stage, five sources with solar origin and five sources with telluric origin. The most advantageous energy source in terms of regeneration capacity, production costs and ecological footprint is the biofuels. The conclusions of this study are very useful in the realization of energy production strategies and the selection of the most advantageous sources in terms of cost and benefit.

The goodness-of-fit of models for fracture trace length distribution: Does the power law provide a good fit?

Fracture trace length distributions are often assumed to follow a power law, which implies that the distribution is scale-independent. The present study tests this assumption by evaluating the goodness-of-fit of three statistical models—the power law, piecewise power law, and lognormal distribution—upon a dataset of 57 trace maps that cover a range of fracture modes, host rock types, network scales, and topologies. The goodness-of-fit was assessed through the unbiased Kolmogorov-Smirnov (KS) test, which accounts for the fitting procedure and the degrees of freedom of each model. The results show that the power law provides a poor fit to trace length distributions, being rejected in 24 trace maps at a significance level of 0.05. In contrast, the piecewise power law and lognormal distribution demonstrated better fits across the fracture networks, with the piecewise power law performing the best overall. The poor fit of the power law can be attributed to mechanical and chemical controls on fracture growth, mainly fracture abutment, as well as stress shadowing and cementation, which affect growth rate at different length scales and result in scale-dependent trace length distributions. The consistent poor fit of the power law across various fracture networks suggests that these controls are prevalent in natural systems. While the power law remains a simple and effective model for trace length distribution, it should be recognized that it overlooks such controls that can influence the mechanical and hydraulic properties of fracture networks. Meanwhile, the fit of the piecewise power-law suggests the existence of a characteristic length where a transition in fracture growth occurs.

In Vivo Lifetime Imaging of the Internal O2 Dynamics in Corals with near-Infrared-Emitting Sensor Nanoparticles.

Mapping of O2 with luminescent sensors within intact animals is challenging due to attenuation of excitation and emission light caused by tissue absorption and scattering as well as interfering background fluorescence. Here we show the application of luminescent O2 sensor nanoparticles (∼50-70 nm) composed of the O2 indicator platinum(II) tetra(4-fluoro)phenyltetrabenzoporphyrin (PtTPTBPF) immobilized in poly(methyl methacrylate-co-methacrylic acid) (PMMA-MA). We injected the sensor nanoparticles into the gastrovascular system of intact colony fractions of reef-building tropical corals that harbor photosynthetic microalgae in their tissues. The sensor nanoparticles are excited by red LED light (617 nm) and emit in the near-infrared (780 nm), which enhances the transmission of excitation and emission light through biological materials. This enabled us to map the internal O2 concentration via time-domain luminescence lifetime imaging through the outer tissue layers across several coral polyps in flowing seawater. After injection, nanoparticles dispersed within the coral tissue for several hours. While luminescence intensity imaging showed some local aggregation of sensor particles, lifetime imaging showed a more homogeneous O2 distribution across a larger area of the coral colony. Local stimulation of symbiont photosynthesis in corals induced oxygenation of illuminated tissue areas and formation of lateral O2 gradients toward surrounding respiring tissues, which were dissipated rapidly after the onset of darkness. Such measurements are key to improving our understanding of how corals regulate their internal chemical microenvironment and metabolic activity, and how they are affected by environmental stress such as ocean warming, acidification, and deoxygenation. Our experimental approach can also be adapted for in vivo O2 imaging in other natural systems such as biofilms, plant and animal tissues, as well as in organoids and other cell constructs, where imaging internal O2 conditions are relevant and challenging due to high optical density and background fluorescence.

Discrete Laplacian thermostat for flocks and swarms: the fully conserved Inertial Spin Model

Abstract Experiments on bird flocks and midge swarms reveal that these natural systems are well described by an active theory in which conservation laws play a crucial role. By building a symplectic structure that couples the particles’ velocities to the generator of their internal rotations (spin), the Inertial Spin Model (ISM) reinstates a second-order temporal dynamics that captures many phenomenological traits of flocks and swarms. The reversible structure of the ISM predicts that the total spin is a constant of motion, the central conservation law responsible for all the novel dynamical features of the model. However, fluctuations and dissipation introduced in the original model to make it relax, violate the spin conservation law, so that the ISM aligns with the biophysical phenomenology only within finite-size regimes, beyond which the overdamped dynamics characteristic of the Vicsek model takes over. Here, we introduce a novel version of the ISM, in which the irreversible terms needed to relax the dynamics strictly respect the conservation of the spin. We perform a numerical investigation of the fully conservative model, exploring both the fixed-network case, which belongs to the equilibrium class of Model G, and the active case, characterized by self-propulsion of the agents and an out-of-equilibrium reshuffling of the underlying interaction network. Our simulations not only capture the correct spin wave phenomenology of the ordered phase, but they also yield dynamical critical exponents in the near-ordering phase that agree very well with the theoretical predictions.

Research Progress on 2D Human Pose Estimation Based on Deep Learning

Human pose estimation (HPE) is a significant area of study within computer vision and artificial intelligence, which locates the position and pose of human joints through images or videos. HPE has advanced progress in computer vision and deep learning fields at the theoretical level, improved the efficiency and accuracy of neural networks, and supported the development of natural and efficient human-computer interaction systems. At the application level, HPE has extensive value in many fields, including security monitoring, motion analysis and health management, VR&AR, robotics technology, film and television production and animation, intelligent driving and assisted driving. This paper divides 2D HPE tasks into three categories: two-stage (top-down and bottom-up), single-stage, and other improvement strategies (Transformer-based methods and post-processing optimization methods). Although deep learning-based pose estimation algorithms have achieved remarkable results, they still face challenges, such as prediction in complex scenes, crowd and joint occlusion problems, and lightweight design of models. Future work should pay more attention to these challenges and extend pose estimation technology from 2D to 3D contexts.

Undergraduate physics students’ experiences: Exploring the impact of underrepresented identities and intersectionality

Historically, physics has been a predominantly male field, with previous literature showing that there is little diversity among U.S. physics students at the undergraduate and graduate levels or among physicists within the work force. Recent research indicates that the lack of diversity in physics is partially due to an unwelcoming climate within physics departments, as well as differential experiences during college. Most physics education research that addresses the lack of underrepresented identities within the field has focused on the identities of women and people of color. There has been little research to investigate people with multiple underrepresented identities, including those such as socioeconomic status, first-generation college students, or learning disabilities. Furthermore, there has been even less research conducted to better understand the impacts of the intersection of these underrepresented identities and how it relates to experiences when pursuing a physics major. In order to address this gap in the literature, our research project has investigated undergraduate physics students’ experiences to better understand what factors affect their experiences and how these may differ by the intersection of one’s underrepresented identities. In particular, we explored how these identities impact their experiences as a physics major. To achieve this goal, we conducted a series of in-depth interviews with physics majors at one university to learn more about their college experiences regarding physics. Our findings suggest that there is a disproportionate number of obstacles when pursuing a physics major faced by those with a greater number of underrepresented identities. We conclude that there is a need for more equitable pedagogical practices and departmental policies within the undergraduate physics experience, in addition to a more “human” approach to mentorship, in order to foster an environment in which students with underrepresented identities can feel supported and thrive academically and professionally. In particular, we believe that dedicated formal pedagogical trainings that teach diverse teaching skills to accommodate students with different learning styles would be useful to many university physics instructors. This type of formal training would include annual workshops designed to educate faculty on how curriculum, pedagogy, and departmental practices can be altered to be more inclusive with the intent to ensure a more equitable and welcoming experience for all students. Additionally, incorporating mentorship programs that focus on a more individualized and natural support system would likely benefit all students, especially those with underrepresented identities, by creating a more welcoming and inclusive space within physics departments. Published by the American Physical Society 2024

Environmental surveillance for Salmonella Typhi in rivers and wastewater from an informal sewage network in Blantyre, Malawi.

Environmental surveillance for Salmonella Typhi may provide information on the community-level dynamics of typhoid fever in resource poor regions experiencing high disease burden. Many knowledge gaps concerning the feasibility of ES remain, especially in areas lacking formal sewage systems. We implemented protocols for S. Typhi ES, including site selection and catchment population estimation, sample concentration and testing using qPCR for S. Typhi specific gene targets. Between May 2021 and May 2022, we collected grab samples and Moore swabs from 43 sites in Blantyre, Malawi. Catchment characteristics, water quality, and human faecal contamination (qPCR for Bacteroides HF183) were also recorded. Their association with S. Typhi detection was investigated using a logistic mixed-effects regression analysis. Prevalence of S. Typhi in ES samples was 2.1% (1.1-4.0%) and 3.9% (1.9-7.9%) for grab and Moore swab samples, respectively. HF183 was associated S. Typhi positivity, with a unit increase in log genome copies/microlitre increasing the odds of detection of S. Typhi by 1.56 (95% CI: 1.29-1.89) and 1.33 (1.10-1.61) in Moore swabs and grab samples, respectively. The location and timing of S. Typhi detection through ES was not associated with the incidence of typhoid fever reported in associated catchment populations. During this period of relatively low typhoid fever incidence, wastewater surveillance continued to detect S. Typhi in human sewage and wastewater suggesting that ES using natural river systems can be a sensitive indicator of transmission.

CMOS-Compatible High-Performance Silicon Nanowire Array Natural Light Electronic Detection System.

In this article, we propose a novel natural light detector based on high-performance silicon nanowire (SiNW) arrays. We achieved a highly controllable and low-cost fabrication of SiNW natural light detectors by using only a conventional micromachined CMOS process. The high activity of SiNWs leads to the poor long-term stability of the SiNW device, and for this reason, we have designed a fully wrapped structure for SiNWs. SiNWs are wrapped in transparent silicon nitride and silicon oxide films, which greatly improves the long-term stability of the detector; at the same time, this structure protects the SiNWs from breakage. In addition, the SiNW arrays are regularly distributed on the top of the detector, which can quickly respond to natural light. The response time of the detector is about 0.015 s. Under the illumination of 1 W·m-2 light intensity, multiple SiNWs were detected together. The signal strength of the detector reached 1.82 μA, the signal-to-noise ratio was 47.6 dB, and the power consumption was only 0.91 μW. The high-intensity and highly reliable initial signal reduces the cost and complexity of the backend signal processing circuit. A low-cost and high-performance STM32 microcontroller can realize the signal processing task. Therefore, we built a high-performance SiNW natural optoelectronic detection system based on an STM32 microcontroller, which achieved the real-time detection of natural light intensity, with an accuracy of ±0.1 W·m-2. These excellent test performances indicate that the SiNW array natural light detector in this article meey the requirements of practicality and has broad potential for application.