Local Factors Research Articles

Portocaval shunts' role in gut microbiota and hepatic encephalopathy: The gut-to-brain pathway

I read the study by Zhao et al with great interest. Although the study design was quite complicated, it was successful in raising awareness of science and relevant researchers. Thirty patients with liver cirrhosis and portal hypertension secondary to chronic hepatitis B were included in the study. They were treated for variceal bleeding and underwent trans-jugular intrahepatic portosystemic shunt to prevent the recurrence of variceal bleeding and to reduce portal pressure. The authors evaluated the effects of changes in gut microbiota (GM) on hepatic encephalopathy secondary to portocaval bypass. The GM is greatly affected by local and general factors, including herbal and medical drugs, a person's dietary characteristics (carnivorous, vegan, vegetarian), supplementary foods, drinking water sources, and living in a city center or town. Therefore, I congratulate Zhao et al for their concise and comprehensive study on a multifactorial subject.

Any way the wind blows: quantifying superbubbles and their outflows in simulated galaxies across z ≈ 0 − 3

Abstract We present an investigation of clustered stellar feedback in the form of superbubbles identified within eleven galaxies from the FIRE-2 (Feedback in Realistic Environments) cosmological zoom-in simulation suite, at both cosmic noon (1 < z < 3) and in the local Universe. We study the spatially-resolved multiphase outflows that these supernovae drive, comparing our findings with recent theory and observations. These simulations consist of five LMC-mass galaxies and six Milky Way-mass progenitors (with a minimum baryonic particle mass of mb.min = 7, 100M⊙). For all galaxies, we calculate the local and galaxy-averaged mass and energy loading factors from the identified outflows. We also characterize the multiphase morphology and properties of the identified superbubbles, including the ‘shell’ of cool (T < 105 K) gas and break out of energetic hot (T > 105 K) gas when the shell bursts. We find that these simulations, regardless of redshift, have mass-loading factors and momentum fluxes in the cool gas that largely agree with recent observations. Lastly, we also investigate how methodological choices in measuring outflows can affect loading factors for galactic winds.

GelMA encapsulating BMSCs-exosomes combined with interference screw or suture anchor promotes tendon-bone healing in a rabbit model.

The tendon-bone junction (TBJ), a critical transitional zone where tendons and bones connect, is particularly prone to injury due to the forces from muscle contractions and skeletal movements. Once tendon-bone injuries occur, the complex original tissue structure is difficult to restore, increasing the risk of re-tear. In this study, we initially established a rabbit model of tendon-bone injury and treated it using either interference screw or suture anchor. Biomechanical testing demonstrated the maximum tension and strength of TBJ with interference screw fixation were superior. However, histologic and immunohistochemical results showed more tissue regeneration and expression of cartilage markers at the site of injury with suture anchor fixation. Moreover, Gelatin Methacryloyl encapsulated with exosomes from mesenchymal stem cell (GelMA-exosomes) were prepared, showing a consistent and stable exosome release characteristic. The combined application of GelMA-exosomes with either interference screws or suture anchors further enhanced the healing of tendon-bone injuries, which may be achieved by promoting cellular proliferation as well as regulating the decreased expression of local pro-inflammatory factors IL-1β, IL-6 and TNF-α and increased expression of anti-inflammatory factors IL-10 and TGF-β. This provides a viable therapeutic strategy to enhance tendon-bone healing.

Factor analysis for assessing the etiopathogenesis of facial boils in military personnel

Background: Boils are the most prevalent non-odontogenic inflammatory condition of the head and neck. The treatment of skin and subcutaneous tissue inflammations in the Russian Armed Forces (RAF) is a pressing issue. We were unable to find any data on the etiopathogenesis of facial boils in otherwise healthy RAF members, as well as the factors that contribute to the development of this condition. Aim: To examine the causes of facial boils in military personnel, the factors that contribute to their development, and the association between them using factor analysis. Materials and Methods: Between 2019 and 2021, 53 patients aged 18 to 25 years were examined and treated for abscess-forming face boils. Of these, 38 (72%) were conscripts and 15 (28%) were contract servicemen. At admission, clinical examinations (complaints, history taking, status localis, facial skin type and status) and laboratory tests (complete blood count, blood chemistry, immunoassay, and bacterial tests, including the composition and antibiotic sensitivity of microflora) were performed. The control group included 30 otherwise healthy individuals aged 18 to 25 years. A mathematical model for predicting maxillofacial boil development in military personnel was generated using binomial regression analysis (logistic regression). The following variables were considered: age, length of service, season of disease development, serum glucose level, lymphocyte count, white blood cell count, CD3+, CD4+, CD8+, IgA, IgG, IgM, immunosuppressive regulatory T cells (CD4+CD25brightCD45+; % of all T helper cells), skin type, and microbial composition of maxillofacial skin. Results: The mathematical model revealed that oily skin in combination with specific blood lymphocyte (20.30±1.03%) and IgG parameters (10.15±0.70%) increases the risk of maxillofacial boils in military personnel. Conclusion: The study revealed the cumulative effect of general and local factors on the development and progression of facial boils in military personnel, allowing for more accurate prevention and treatment strategies.

Development of a global thermal detection index to prioritize primate research with thermal drones.

Thermal Infrared (TIR) drones are emerging as effective tools for wildlife ecology monitoring and are increasingly employed in primate surveys. However, systematic methods for assessing primate detectability are lacking. We present a comprehensive approach utilizing a novel Thermal Detection Index (TDI) to evaluate the potential of TIR drones for primate monitoring. We developed TDIs for 389 primate species, considering activity patterns, locomotion types, body mass, densities, habitat utilization, and sleeping behaviors during diurnal and nocturnal surveys. Through the integration of TDIs with primates' distribution and climatic variables (average annual temperature, precipitation, and wind speed), we established a Global TDI Suitability Score aimed at pinpointing species and regions most compatible with TIR drone-based monitoring. Atelidae, Cercopithecidae, and Indridae showed the highest TDI values, suggesting their suitability for TIR-drone surveys. We identified optimal regions in Africa, Asia and Latin America for primate monitoring with TIR drones, driven by favorable ecological conditions, habitat types, and high TDI species diversity. However, local ecological factors and regulatory frameworks also influence drone survey feasibility, necessitating careful consideration prior to implementation. Overall, our study provides a valuable framework for prioritizing primate species and regions for TIR drone-based monitoring, facilitating targeted conservation efforts and advancing primate monitoring research.

Multidimensional geographic factors behind conflicts: a case study in Sudan

ABSTRACT Sudan has been racked by complex and volatile conflicts for decades, with a new round of civil conflict erupting in April 2023, leading to significant loss of life and property. Despite the ongoing violence, the associations between conflicts and local contextual factors remain ambiguous. In this study, we developed an event-grid dataset, consisting of 50,033 observations with 20 variables derived from nighttime light (NTL) data, OpenStreetMap data, and other geographic data. Machine learning algorithms were employed to model the outbreak of conflict in 2023. Furthermore, the SHapley Additive exPlanations method was utilized to explain the relationships between diverse explanatory variables and conflicts. The results indicate that eXtreme Gradient Boosting model outperforms other models, such as Categorical Boosting and Light Gradient Boosting Machine. Multiple factors jointly contribute to conflicts. NTL-derived variables and transportation-related variables emerge as the most influential factors, followed by climate and agricultural factors. Regions characterized by economic inequality and proximity to transportation hubs are found to be more prone to conflicts. Additionally, variables impact the outbreak of conflict not only individually but also through mutual interactions. Notably, this study enhances a comprehensive and quantitative understanding of conflicts in Sudan, providing valuable insights to support humanitarian aid efforts.

Is the country’s preparedness for epidemics and pandemics an FDI location factor? An empirical analysis using panel data

Purpose This study aims to validate the hypothesis that a country’s preparedness for epidemics and pandemics, as measured by the GHS Index, significantly influences inward FDI inflows. By examining panel data from 2019 to 2021, the research seeks to elucidate the impact of heightened epidemic and pandemic preparedness on investment behavior, thereby highlighting the importance of health resilience and preparedness in attracting foreign investment and fostering economic growth and development. Design/methodology/approach The study uses panel data spanning 181 countries from 2019 to 2021 and uses logarithmic regression models to analyze the impact of a country’s preparedness for epidemics and pandemics, as measured by the Global Health Security (GHS) Index, on inward Foreign Direct Investment (FDI) inflows. Auxiliary variables including GDP, labor supply, openness rate, inflation rate and political stability are incorporated. Robust weighted least squares estimation techniques are used to account for potential heterogeneity and panel data characteristics. Findings The study reveals a consistent and statistically significant positive relationship between a country’s GHS score and inward FDI, indicating that destinations with robust health systems are more attractive to investors. Higher GHS scores correlate with reduced investment risk, improved business continuity during health crises and enhanced health-care infrastructure, leading to a healthier and more productive workforce. Research limitations/implications While the study provides valuable insights into the relationship between epidemic and pandemic preparedness and inward FDI inflows, several limitations exist. The analysis relies on cross-sectional data from a relatively short timeframe (2019–2021), limiting the ability to capture long-term effects. Additionally, the study focuses on the GHS Index as a measure of preparedness, overlooking other potential determinants of FDI attractiveness. Future research could explore a broader range of health security indicators and incorporate longer-term data to provide a more comprehensive understanding of the relationship. Originality/value This study contributes to the literature by examining the previously underexplored relationship between a country’s epidemic and pandemic preparedness, as measured by the GHS Index and inward FDI inflows. By using panel data analysis and robust econometric techniques, the research provides empirical evidence supporting the positive impact of robust health systems on FDI attractiveness. The findings underscore the importance of prioritizing public health initiatives and epidemic preparedness as integral components of attracting and retaining foreign investment, thereby fostering economic resilience and sustainable development in host countries.

Pitching kinematics have direct and indirect effects on pitch location in NCAA baseball.

Kinematics and release parameters are important factors of throw location, yet an understanding of their relationship has yet to be achieved. This study sought to explore this relationship. Kinematic data were collected for seventy-seven collegiate pitchers. Fifty-seven kinematic parameters were included in path analyses for horizontal (HPL) and vertical plate locations (VPL). Release angles were set as mediating variables (MED) between independent (IV) and dependent (DV) variables. Eleven kinematic variables directly (13 indirectly) affected VPL, while 23 directly affected HPL (10 indirectly). Linear mixed models revealed that lateral trunk flexion at ball release (BR) (R2=.908, BIC=-598, ICC=.528) best explained VPL. Trunk flexion at foot contact (FC) (R2=.944, BIC=-607, ICC=.776), mediolateral centre of mass (COM) displacement at FC (R2=.974, BIC=-573, ICC=.918), and BR (R2=.967, BIC=-593, ICC=.865), and pelvis rotation at BR (R2=.965, BIC=-588, ICC=.895) models were identified for HPL. Results indicate the relationship between pitching kinematics, release conditions, and throw location is complex. Biomechanics can influence release parameters, which in turn impacts throw location. This work may serve to understand better how biomechanics influence performance.

How Does Mangrove Restoration or Reforestation Change Trace Metal Pollution in Mangrove Ecosystems? A Review of Current Knowledge

In recent years, mangrove restoration has gained significant attention due to its carbon storage capacity, role as a pollution sink, and ecological and economic benefits. Moreover, the United Nations Sustainable Development Goals’ strategies include mangrove restoration. This review investigates the status of mangrove restoration research and the influence of restoration on trace metal accumulation, speciation, and associated risks in mangrove sediments. Our analysis reveals that research on mangrove restoration is increasing globally, with a notable surge in publications after 2017. However, fewer than 25 articles published between 2007 and 2024 address trace metals in restored mangroves, indicating limited focus from researchers on this topic. Research shows that mangrove restoration can quickly alter sediment properties, such as texture, salinity, and pH. As a result, restored sediments tend to accumulate higher organic carbon content than barren areas. Most studies also suggest that trace metal accumulation is higher in restored sites than in non-restored areas. However, metal speciation varies considerably between sites due to local environmental factors. Furthermore, many studies suggest that restoration may increase the risks posed by trace metals to aquatic biota. The challenges of mangrove restoration research include short study timeframes, low success rates, poorly defined targets, small-scale efforts, conflicts with local communities over resources and benefits, insufficient government funding, and a lack of historical data on community health and pollution status.

Abstract 4137708: Implementation of a Standard Hydration Protocol Improves Compliance of Pre-procedural Hydration, Reducing the Incidence of Contrast-Induced Acute Kidney Injury (CI-AKI) After Percutaneous Coronary Intervention (PCI)

Introduction: Intravenous hydration and contrast media volume reduction are the most important preventive factors against CI-AKI after PCI. Multiple studies have demonstrated the effectiveness of intravenous hydration before PCI, however, varied hydration protocols have rather complicated standardization. Doctors’ preferences and local institutional factors further hinder protocol implementation, resulting in reduced compliance. Hypothesis: Standardizing hydration protocol increases the compliance rate of preprocedural hydration orders and administration, reducing the incidence of CI-AKI. Methods: A team at Memorial Hermann The Woodlands Medical Center, comprising a cardiovascular nurse coordinator, catheterization laboratory director, pharmacist, information technologist, and hospital administrators, was formed to improve PCI outcomes through a multi-faceted approach. This involved a standardized hydration protocol with direct education, continuous monitoring, and repeated internal feedback, reviewed monthly. The new protocol included normal saline pre- and post-procedure maintenance fluids, with a 250 ml normal saline bolus pre-operatively. Maintenance fluids were set at 75 ml/hr, and 20 ml/hr for patients with congestive heart failure and an ejection fraction ≤ 40%. The team reviewed 233 patients under the old protocol and 281 under the new protocol. Compliance rates of pre-procedural intravenous hydration were compared and CI-AKI incidence, defined as a >50% increase or a 0.3 mg/dL increase in creatinine levels within 5 days post-procedure, was assessed. Chi square tests and t-tests were used to compare cohorts on 12 parameters and CI-AKI incidence assessment, with a p-value of 0.05. Results: Compliance with pre-procedural hydration significantly increased under the new protocol (86.1% vs 55.4%, p<0.05). CI-AKI incidence was lower in the new protocol group (7.5% vs 9.9%, p=0.33). Although statistically insignificant in this preliminary analysis, the results were still promising due to a relative CI-AKI reduction of 24.3%. A sample size of 352 patients per group is needed to achieve a power of 0.8. Conclusion: The new standardized hydration protocol, coupled with education, increased compliance with pre-procedural hydration and showed a promising trend towards reducing CI-AKI among PCI patients. The final report will be presented upon study completion.

Lifestyle, caries, and apical periodontitis: Results from a university-based cross-sectional study.

Lifestyle factors significantly influence the development of inflammatory diseases, and emerging evidence suggests they may also impact oral health. However, no studies have explored their role in apical periodontitis (AP) amongst adults. This study aimed to assess the association between adherence to the Mediterranean diet (MD), physical activity, perceived stress, and sleep quality with the periapical and caries status in a university-based cohort. A total of 149 periodontally healthy patients were included in the study. Clinical assessments and radiographic examinations [Orthopantomography (opt) and periapical radiographs] were conducted to evaluate the periapical status. Data on their periapical index (PAI) score and the decayed, missing and filled teeth (DMFT) index were recorded. Validated questionnaires were used to investigate patient's lifestyles. A final logistic regression model was performed for the multivariable analysis to evaluate the predictive ability of adherence to Mediterranean lifestyle on the presence of AP; other local, systemic and environmental factors were included as independent factors in the model. Significant associations were observed between AP and high/low adherence to the MD (p = .00), high/low-moderate physical activity (p = .00), high/low sleep quality (p = .00) and high/low perceived stress (p = .00). The final multivariable regression model showed that low adherence to MD (OR = 3.68; 95% confidence interval [CI]: 1.24-10.83; p = . 01) and reduced sleep quality (OR = 3.04; 95% CI: 1.42-6.50; p = .00) were identified as potential risk factors for AP development. On the other hand, the DMFT index showed no significant association with lifestyle factors (OR = 1.0; CI: 1.01-1.14; p = .02) but was correlated with the development of AP (OR = 1.07; CI: 1.01-1.14; p = .02). Results from the present study suggest a potential association between low adherence to MD and reduced sleep quality with the development of AP. Individuals with low adherence to MD and inadequate sleep quality faced respectively 4-fold and 3-fold increased odds of developing periapical lesions. Further research is essential to elucidate the causal mechanisms underlying these associations and to determine whether lifestyle adjustments could improve endodontic success rate.

Oral Candidiasis in a Diabetic Patient Wearing Bar-Retained Provisional Overdenture: Clinical Case Report

Background: Denture stomatitis is a clinical manifestation of oral candidiasis, often seen in individuals wearing removable dentures that lead to the formation of sub-prosthetic stomatitis. This is particularly common in maladjusted appliances that have been in use for many years. Studies have shown that patients with systemic diseases such as diabetes, or other medical complexities, have a higher likelihood of developing denture stomatitis. To address this problem, the use of implant-retained dentures with different types of attachments has been introduced, providing increased comfort and hygiene for edentulous patients. However, this solution is not without its own set of challenges, being that the prolonged contact with mucosal surfaces can lead to challenges in cleaning and managing plaque depending on the attachment. Case Presentation: In this clinical case report, we present a female patient who developed bar-retained prosthetic stomatitis induced by oral candidiasis a few months after receiving her provisional prosthesis. Conclusions: In conclusion, this case report emphasizes the need to consider both systemic and local factors when preventing and treating denture stomatitis. By understanding the risk factors involved, healthcare professionals can provide their patients with the best possible care, helping to reduce the prevalence of oral candidiasis in individuals who use implant-retained dentures.

Location Preferences and Changes in Pollution-Intensive Firms from the Yangtze River Economic Belt, China

This study examined the location preferences and changes in pollution-intensive firms by analyzing the spatiotemporal distribution and drivers in the Yangtze River Economic Belt, a transitional manufacturing region in China. To analyze the distribution of firms under natural growth conditions prior to the implementation of the national “Great Protection of the Yangtze River” policy in 2016, this study utilized data on newly expanded industrial land use from 2007 to 2016. The results indicated that new pollution-intensive firms predominantly focused on water pollution, occupying over 40% of the total area annually. The new pollution-intensive firms preferred the geographic agglomeration siting strategy, mostly along the Yangtze River or in urban agglomerations, while gradually moving westward. The total area and number of new pollution-intensive firms in the Yangtze River Economic Belt showed an overall trend of “inverted U-shaped” variation during the study period, and the average size of the pollution-intensive firms gradually decreased. GeoDetector analysis revealed that geographical factors have always been significant. Local economic factors attracted new pollution-intensive firms, but later in the study period, these factors showed some inhibitory effect on the increase in pollution-intensive firms in the lower reaches. Government intervention worked less effectively but was significantly enhanced after interaction with other factors. Finally, the results suggested that local governments should build a stronger synergy between industrial land policies and environmental regulations to ensure sustainable growth and rational allocation of pollution-intensive firms.

Environmental effects of acid mine drainage and rehabilitation options at closed mine site: a case study.

Irregular waste storage at closed mine sites poses severe environmental problems. This study evaluates the concentrations and effects of trace elements released into the environment by mining activity by analyzing soil, water, and sediment samples taken from a copper mining site. According to the data, acidic mine drainage was the main cause of the high concentrations of trace elements in the soil and sediments, including arsenic (As), cadmium (Cd), lead (Pb), and copper (Cu). The concentrations of As, Cd, Pb, and Cu in soil and sediments were 2734-times, 1189-times, 157-times and 32 times higher, respectively, in comparison to the background values of averaged concentrations of these elements in the upper crust. Geological and statistical studies indicate that the primary constituents of these pollutants are chalcopyrite and pyrite derivatives present in the primary rock structure. Using water analysis data from 2011 to 2020, the release of essential trace element into water was investigated to monitor the environmental effects of acidic mine drainage (AMD) from the closed Kuvarshan copper mine in the Artvin region of Turkey. This study demonstrates that trace elements concentrations may change according to local and seasonal factors and highlights the importance of conducting routine environmental monitoring studies.

The Relationship Between Mental Health and Periodontal Disease: Insights from NHANES Data

Introduction and aim Periodontal disease, initiated by dental biofilm and influenced by various local and systemic factors, includes stress as a potential contributor to its progression. Despite associations with severe forms like acute necrotizing ulcerative gingivitis, a comprehensive large-sample study linking stress to periodontal disease is lacking. This study aims to investigate the relationship between mental health and periodontal disease. Materials and Methods Leveraging data (secondary dataset) from the National Health and Nutrition Examination Survey (NHANES) from 2011–2012 and NHANES 2013–2014 cycles, relevant information was extracted. Mental health was the exposure variable, and periodontal disease, assessed through indices following Eke et al.’s definition, served as the outcome. Covariates (demographical characteristics) impacting periodontal disease were considered, and disease status analyses employed the Rao-Scott chi-squared test. A logistic regression model assessed mental health’s impact on periodontal disease. Results Among the 2764 Participants, more than a quarter (29.1%) were aged over 60 years, 52% were females. Logistic regression indicated higher odds of periodontal disease among individuals feeling bad about themselves for more than half of the day (OR 1.170, 95% CI 0.533-2.474), though statistical significance was not reached. Periodontitis prevalence significantly varied based on marital status, with 6.6% of married and 10.8% of unmarried Participants affected. Notably, a statistically significant difference in periodontitis prevalence existed between Participants with health insurance (8.3%) and those without (16.5%). Conclusion Our findings suggest trends in periodontal disease prevalence linked to mental health, marital status, and access to health insurance. However, the absence of statistically significant findings calls for caution in interpreting these relationships. We recommend that future studies further investigate these potential associations to provide a clearer understanding.

Market-level tenant default risk on residential REIT operational efficiency

ABSTRACT Selecting which geographical markets a REIT serves is an important managerial decision that is expected to significantly impact firm performance. This paper investigates whether holding properties in areas with greater incidence of evictions impacts REIT operational efficiency. Using a comprehensive database of eviction lawsuits in the United States in combination with a time-series of residential REIT portfolio holdings, we construct REIT-year eviction exposure scores to analyse whether more exposure to areas with high aggregate eviction rates is a risk factor affecting REIT efficiency. We posit that market-level tenant default risk captures a locational risk dimension that should be considered in REIT portfolio management. Our results show that REITs with more exposure to markets with high tenant default risk observe higher operational inefficiencies after controlling for relevant firm characteristics and local market factors. These results are robust to multiple model specifications that control for potential endogeneity and omitted variable biases. Our findings have significant implications for REIT managers and investors, suggesting that the choice of property locations should consider aggregate tenant default risk as a determinant factor in residential REIT performance.

Health Equity in AI Development and Policy: An AI-enabled Study of International, National and Intra-national AI Infrastructures

This study examines how concerns related to equity in AI for health are reflected at the international, national, and sub-national level. Utilizing unsupervised learning over corpora of published AI policy documents and graph structurization and analysis, the research identifies and visualizes the presence and variation of these concerns across different geopolitical contexts. The findings reveal interesting differences in how these issues are prioritized and addressed, highlighting the influence of local policies and cultural factors. The study underscores the importance of tailored approaches to AI governance in healthcare, advocating for increased global collaboration and knowledge sharing to ensure equitable and ethical AI deployment. By providing a comprehensive analysis of policy documents, this research contributes to a deeper understanding of the global landscape of AI in health, potentially offering insights for policymakers and stakeholders.

Analysis of Variability of Water Quality Indicators in the Municipality Water Supply System—A Case Study

This study investigated the variability of water quality indicators in four municipal water distribution systems near a medium-sized city. Despite the proximity of water intakes, water quality in different distribution systems can vary significantly due to local factors such as infrastructure conditions, treatment technology, and specific environmental conditions affecting water in each water supply network. Water samples were collected from multiple points in each system and analyzed for physicochemical properties. The results showed significant differences in total carbon, dissolved organic carbon, and ammonium nitrogen, indicating variability in water quality between systems. These results emphasize the need for integrated management strategies, innovative technologies, and real-time monitoring to maintain water quality. The study also highlights challenges such as aging infrastructure, pollution, and financial constraints in managing water supplies.

Evaluation of Two-Dimensional DBH Estimation Algorithms Using TLS

Terrestrial laser scanning (TLS) has become a vital tool in forestry for accurately measuring tree parameters, such as diameter at breast height (DBH). However, its application in Mexican forests remains underexplored. This study evaluates the performance of five two-dimensional DBH estimation algorithms (Nelder–Mead, least squares, Hough transform, RANSAC, and convex hull) within a temperate Mexican forest and explores their broader applicability across diverse ecosystems, using published point cloud data from various scanning devices. Results indicate that algorithm accuracy is influenced by local factors like point cloud density, occlusion, vegetation, and tree structure. In the Mexican study area, the Nelder–Mead algorithm achieved the highest accuracy (R² = 0.98, RMSE = 1.59 cm, MAPE = 6.12%), closely followed by least squares (R² = 0.98, RMSE = 1.67 cm, MAPE = 6.42%), with different outcomes in other sites. These findings advance DBH estimation methods by highlighting the importance of tailored algorithm selection and environmental considerations, thereby contributing to more accurate and efficient forest management across various landscapes.

Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks**This paper is significantly revised from an earlier version [] presented at the Explainable Machine Learning for Sciences Workshop (XAI4Sci) in conjunction with the 38th AAAI Conference on Artificial Intelligence (AAAI 2024) held in Vancouver, Canada, in February 2024.

Abstract The impact of meteorological observations on weather forecasting varies with the sensor type, location, time, and other environmental factors. Thus, the quantitative analysis of observation impacts is crucial for the effective and efficient development of weather forecasting systems. However, existing impact analysis methods are dependent on specific forecast systems, because system-specific adjoint models are used and the sensitivity of the observation to the forecast is measured. This study investigates the impact of observations on atmospheric state estimation in weather forecasting systems by developing a novel graph neural network (GNN) model specialized for analyzing the heterogeneous relations between observations and atmospheric states. The observation impact can then be assessed by applying explainable methods to the proposed GNN model, which is independent of forecasting systems. Further, we develop a novel application called ‘CloudNine,’ a system that provides impact analysis for individual observations with visualization. Our GNN model comprises hierarchical message-passing modules that separately analyze spatial correlations between observations at close locations and atmospheric states at close locations and then examine correlations between observations and atmospheric states. To consider the different factors influencing these correlations, we utilized geo-coordinates and types of observations in the attention mechanism of the modules with their feature vectors. We then applied gradient-based explainability methods to quantify the significance of the different observations in the estimation. Evaluated using data from 11 satellites and land-based observations, the results highlight the effectiveness of the proposed model and the visualization of observation impacts, enhancing the understanding and optimization of observational data in weather forecasting.