Global Scale Research Articles

Results of esketamine administration in a Greek population: a case series.

Esketamine is a non-selective, competitive antagonist of the N-methyl-D-aspartate (NMDA) receptor in the brain. Through NMDA receptor antagonism, esketamine causes a transient increase in glutamate release, leading to increases in neurotrophic signaling and restoration of synaptic function in brain regions involved in mood regulation and emotional behavior. Several randomized clinical trials have shown its effectiveness in reducing the symptoms of depression in some people, despite its short-term side effects that include mainly disorientation, dizziness, nausea, and increased blood pressure. In 2019, the United States Food and Drug Administration (FDA) as well as the European Medicines Agency approved the use of esketamine nasal spray in combination with an oral antidepressant for treatment-resistant depression in adults. Our study aimed to evaluate the effectiveness of this new therapeutic proposal in a case series of five Greek patients with treatment- resistant depression. Intranasal esketamine was administered under medical supervision in combination with an oral antidepressant. Depressive symptoms were evaluated at three time points (baseline, end of treatment, and one-year post-treatment) using the Montgomery-Åsberg Depression Rating Scale (MADRS), the Patient Health Questionnaire (PHQ-9), the CGI Clinical Global Impression Scale, and the Perceived Deficits Questionnaire for Depression (PDQ-D). Possible side effects were assessed using the Richmond Suppression Agitation Scale (RASS), the Sheehan Disability Scale (SDS), the CADSS Disruptive States Scale, and a predefined list of adverse events (AEs) and serious adverse events (SAEs). Patients followed an individualized treatment plan for seven to twelve months depending on the achievement of an adequate response. Statistical analysis of the results revealed a significant improvement (p<0.05) on all scales used. All participants maintained their level of improvement at follow-up after twelve months. Adverse effects were found to be mild and tolerable. It is worth noting that significant side effects were reported only by the two patients with comorbid personality disorder. The results, despite limited to a small sample, indicate the positive effect of esketamine on the stable reduction of depressive symptoms among patients with resistant depression, even after the completion of treatment.

Effect of background wind and dissipation processes on the semidiurnal component of atmospheric solar tides

The equations governing the neutral wind velocities and temperature, which depict the oscillations of atmospheric tides, incorporate various elements of the atmosphere. These factors comprise background wind, temperature profiles, and the atmosphere’s composition, including ozone, oxygen, carbon dioxide, water, etc. The current work describes the method of solution of the atmospheric tidal model and investigates the effects of background wind and dissipation processes on the migrating semidiurnal tides during the March equinox. Thermal heating due to water vapour absorption in the troposphere, ozone in the stratosphere and oxygen absorption in the thermosphere is considered in this model. Furthermore, the model takes into account the various dissipation processes (i.e. ion drag and Hall coefficients, Newtonian cooling, divergence of momentum and heat fluxes due to molecular and eddy diffusion) and background wind. The semidiurnal tidal features obtained from the present model match well with the Global Scale Wave Model (GSWM-98). The bar charts are presented to quantify the effects of different parameters on horizontal winds for altitudes below 100 km and above 100 km, separately. It reveals that the background wind plays a vital role in deciding the semidiurnal tidal amplitudes of zonal and meridional winds. Momentum and heat flux coefficients also have a significant influence on semidiurnal tides. At higher altitudes (>100 km), the ion drag reduces the amplitude of semidiurnal tides considerably.

Use of Metallic Mercury in Artisanal Gold Mining by Amalgamation: A Review of Temporal and Spatial Trends and Environmental Pollution

The introduction of mercury (Hg) into the environment by anthropogenic activities has resulted in negative implications for ecosystem functions and human health. Unlike the legacy of huge environmental pollution left by historic gold rushes in several developed countries, gold-rich nations in the developing world are currently witnessing what could qualify as a “new gold rush”, conducted primarily by small-scale mining operators and characterized by the use of metallic Hg (Hg0) in the amalgamation process to extract gold from crude ores. Once introduced into the environment, Hg0 can undergo biogeochemical transformations to produce Hg species such as methyl-Hg, with well-established adverse impacts on living organisms. This review summarizes published data on both historical and recent trends of the use of Hg0 in artisanal gold mining (AGM) on a global scale and emphasizes the impacts of AGM on the environment. To achieve this, we used citations from research conducted in North and South America, Europe, Asia, Africa, Australia, and New Zealand, obtained from several search engines and databases. Our findings show that, in addition to the well-known environmental and human health adverse effects of gold mining with Hg0, gold extraction by the Hg amalgamation technique is boosting the economy in parts of Africa, South America, and Asia. Unfortunately, this appealing aspect of AGM may not be easily halted, pending the creation of alternative employment. Therefore, there is a clear need for the development of safe and affordable gold extraction and purification technologies. Ultimately, the growth of this specific economic sector should be regulated to help protect both the environment and human health. Information compiled in this review should help to (i) improve the mapping of AGM-impacted soil and aquatic systems on a global scale and (ii) stimulate discussions and research on how to take down current barriers to the development and implementation of safe AGM methods.

Emergent constraint on oxygenation of the upper South Eastern Pacific oxygen minimum zone in the twenty-first century

As a consequence of on-going global warming, the ocean is losing oxygen, which has implications not only in terms of marine resources management and food supply but also in terms of the potentially important feedback on the global carbon cycle and climate. Of particular scrutiny are the extended zones of already low levels of oxygen called the oxygen minimum zones (OMZs) embedded in the subsurface waters of the productive Eastern Boundary Upwelling Systems (EBUS). These OMZs are currently diversely simulated by state-of-the-art Earth System Models (ESM) hampering a reliable projection of ocean deoxygenation on marine ecosystem services in these regions. Here we focus on the most emblematic EBUS OMZs of the planet, that of the South Eastern Pacific (SEP), which is under the direct influence of the El Niño Southern Oscillation (ENSO), the main climate mode on interannual timescales at global scale. We show that, despite the low consensus among ESM long-term projections of oxygen levels, the sensitivity of the depth of the upper margin (oxycline) of the SEP OMZ to El Niño events in an ensemble of ESMs can be used as a predictor of its long-term trend, which establishes an emergent constraint for the SEP OMZ. Because the oxycline along the coast of Peru and Chile deepens during El Niño events, the upper bound of the SEP OMZ is thus likely to deepen in the future climate, therefore oxygenating the SEP OMZ. This has implications not only for understanding the nitrogen and carbon cycles at global scale but also for designing adaptation strategies for regional upper-ocean ecosystem services.

Valuation of different organic and inorganic fertilizer combinations on the growth and yield of cabbage

abbage (Brassica oleracea var. capitata) is the most important winter leafy vegetable in the world and belongs to the Cruciferae family. An experiment was conducted at the Horticultural farm of Gauradaha Agriculture Campus, Tribhuwan University, Jhapa, Nepal from 26th December 2022 to 2nd April 2023 to evaluate the different organic and inorganic fertilizer combinations on the growth and yield of cabbage (Brassica oleracea var. capitata L. cv. Green coronet). The experiment was conducted as a randomized block design with 7 treatments replicated 3 times and the treatments are T1: 25-ton FYM/ha, T2: 25-ton PM/ha, T3: 25-ton FYM/ha + NPK (RDF), T4: 25-ton PM/ha + NPK (RDF), T5: 20-ton FYM/ha + 10-ton PM/ha + NPK (RDF), T6: 10-ton FYM/ha + 20-ton PM/ha + NPK (RDF) and T7: control. Significant variation was found among the treatments. The result showed treatment had a significant role in different parameters. T3- The highest number of leaves, T5- the highest (leaf area, weight with roots, net head yield, horizontal head diameter), T4-highest (plant height, gross yield), T6- highest (stem girth, vertical head diameter) was obtained. On the result basis T5 (20-ton FYM/ha + 10-ton PM/ha + NPK (RDF) can be adopted as sustainable crop production. This study not only provides valuable insights into optimizing cabbage production but also underscores the importance of tailored fertilizer combinations for sustainable agriculture. Furthermore, the findings contribute to the broader discourse on enhancing crop yield while minimizing environmental impact. By elucidating the efficacy of specific fertilizer blends, this research paves the way for more efficient and eco-friendly farming practices, thereby promoting food security and environmental sustainability on a global scale.

Plant beta-turnover rather than nestedness shapes overall taxonomic and phylogenetic beta-diversity triggered by favorable spatial-environmental conditions in large-scale Chinese grasslands.

Although it is widely acknowledged that biodiversity maintains plant community assembly processes, exploring the patterns and drivers of beta-diversity (β-diversity; species variation among local plant communities) has received much less attention compared to alpha-diversity (α-diversity; species variation within a local plant community). Here, we aim to examine the patterns and spatial-environmental drivers of taxonomic and phylogenetic β-diversity, and their components such as species turnover and nestedness, in large-scale Leymus chinensis grassland communities. We collected plant community data from 166 sites across widely distributed L. chinensis communities in northern China, and then calculated the taxonomic and phylogenetic β-diversity indices (overall, turnover and nestedness) using a pairwise dissimilarity approach. To assess the effects and to explain the variation in the patterns of β-diversity, we collected data on geospatial, climate and soil conditions. We applied descriptive statistics, Mental correlations, and multiple linear regression models to assess the patterns and spatial-environmental drivers of β-diversity. The β-turnover, as compared to β-nestedness, exhibited a predominant influence, constituting 92.6% of the taxonomic β-diversity and 80.4% of the phylogenetic β-diversity. Most of the spatial-environmental variables were significantly positively correlated with the overall taxonomic and phylogenetic β-diversity and β-turnover, but not with β-nestedness. Climatic factors such as MAP and MAT were the strongest predictors of both taxonomic and phylogenetic β-diversity and β-turnover. The variance partitioning analysis showed that the combined effects of spatial and environmental factors accounted for 19% and 16% of the variation in the taxonomic and phylogenetic β-diversity (overall), 17% and 12% of the variation in the β-turnover, and 7% and 1% of the variation in the β-nestedness, respectively, which were higher than independent effects of either spatial or environmental factors. At larger spatial scales, the turnover component of β-diversity may be associated with the species complementarity effect, but dominant or functionally important species can vary among communities due to the species selection effect. By incorporating β-diversity into grassland management strategies, we can enhance the provision of vital ecosystem services that bolster human welfare, serving as a resilient barrier against the adverse effects of climate change at regional and global scales.

Exploring the nexus of smart technologies and sustainable ecotourism: A systematic review

Sustainable smart ecotourism, utilizing smart technologies like smartphones, artificial intelligence (AI), and the Internet of Things (IoT), aims to minimize harm to natural and cultural ecosystems, promoting education and environmental conservation. This review aims to examine the concept of sustainable smart ecotourism, analyzing existing literature to gain insights into the significance, components, challenges, and contributions to sustainable development on a global scale. A systematic review was conducted to evaluate sustainable smart ecotourism using PRISMA guidelines. The review focused on scholarly, peer-reviewed studies from developing countries, using databases like ScienceDirect, Jstor, Taylor & Francis, and IEEE. The study used Joanna Briggs Institute and Cochrane Risk of Bias tools to assess study quality. Thematic analysis techniques were used to extract and synthesize data, identifying patterns and trends relevant to smart ecotourism sustainability. Dual analyst verification ensured data integrity and reliability. After conducting a thorough quality evaluation using the Joanna Briggs Institute Checklist and Cochrane Risk of Bias Tool, we identified 29 studies of exceptional quality from an original pool of 9583 records. The use of thematic analysis sheds light on the diverse and important role of the IoT in promoting sustainable ecotourism. This study uncovered both the obstacles and possibilities associated with this technology. The findings provide important insights into the worldwide implementation of smart ecotourism techniques and highlight the significant impact of technology in promoting sustainable tourism models. Smart ecotourism involves multiple stakeholders to enhance environmental impact. Key characteristics include dynamic interactions, co-creation of value, sustainable development, resource sharing, and innovation services. Technology like IoT is crucial for sustainable tourism management. Collaboration with governments, local stakeholders, and organizations is recommended for sustainable policies. As a result of this study, sustainable ecotourism policies result from a collaborative effort between local communities, government agencies, and practitioners in the industry. Smart technologies, including AR/VR and AI, have the potential to enhance operational efficiency while reducing environmental concerns. Ecotourism, partnerships, and education are key to successful implementation and capacity building.

Assessing the Potential for Electrification of the Food Industry and Its Implications for Environmental Sustainability

Most studies on industrial heat decarbonization by electrification focus on energy and greenhouse gas emissions. However, there are additional potential environmental impacts to be considered to make a fair comparison. The aim of the proposed work is therefore to highlight the benefits and drawbacks of switching to electricity, using life cycle assessment (LCA) methodology to explore more environmental issues. In addition, in order to evaluate the environmental sustainability of this transformation, the LCA results are compared with sustainability thresholds defined with two different methods, on a global scale using the “sustainable levels” concept. The first method is based on the current environmental impacts of industrial processes, while the second considers the economic added value. Industrial heat production levels for the Danish and French food industries are used as case studies. The results show a large number of environmental trade-offs associated with electrification, some of which are leading to unsustainable levels. Sustainability thresholds based on economic added value ensure a fairer distribution between sectors, in particular by preventing the most virtuous sectors and processes from being penalized.

Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale

Comprehensive evaluations of global precipitation datasets are imperative for gaining insights into their performance and potential applications. However, the existing evaluations of global precipitation datasets are often constrained by limitations regarding the datasets, specific regions, and hydrological models used for hydrologic predictions. The accuracy and hydrological utility of eight precipitation datasets (including two gauged-based, five reanalysis and one merged precipitation datasets) were evaluated on a daily timescale from 1982 to 2015 in this study by using 2404 rain gauges, 2508 catchments, and four lumped hydrological models under varying climatic conditions worldwide. Specifically, the characteristics of different datasets were first analyzed. The accuracy of precipitation datasets at the site and regional scale was then evaluated with daily observations from 2404 gauges and two high-resolution gridded gauge-interpolated regional datasets. The effectiveness of precipitation datasets in runoff simulation was then assessed by using 2058 catchments around the world in combination with four conceptual hydrological models. The results show that: (1) all precipitation datasets demonstrate proficiency in capturing the interannual variability of the annual mean precipitation, but with magnitudes deviating by up to 200 mm/year among the datasets; (2) the precipitation datasets directly incorporating daily gauge observations outperform the uncorrected precipitation datasets. The Climate Precipitation Center dataset (CPC), Global Precipitation Climatology Center dataset (GPCC) and multi-source weighted-ensemble precipitation V2 (MSWEP V2) can be considered the best option for most climate regions regarding the accuracy of precipitation datasets; (3) the performance of hydrological models driven by different datasets is climate dependent and is notably worse in arid regions (with median Kling–Gupta efficiency (KGE) ranging from 0.39 to 0.65) than in other regions. The MSWEP V2 posted a stable performance with the highest KGE and Nash–Sutcliffe Efficiency (NSE) values in most climate regions using various hydrological models.

Upper gastrointestinal bleeding as a warning sign of gastrointestinal cancer

BackgroundUpper gastrointestinal bleeding (UGIB) is a prevalent etiology for hospital admissions on a global scale. However, the significance of UGIB as a warning sign of gastrointestinal (GI) cancer is frequently disregarded due to its uncommon and atypical symptoms. MethodsIn the Kailuan study, participants diagnosed with UGIB were assigned as the case group and were randomly matched in a 1:4 ratio with a control group of comparable age and sex from 2006 to 2018 in Tangshan. The statistical analysis included a total of 1250 UGIB patients and 5000 individuals without UGIB. The impact of UGIB on cancer incidence was evaluated using a Cox proportional hazards model, enabling the investigation of both site-specific and time-dependent effects of UGIB on cancer incidence. ResultsThe mean age of the patients was 60.91 ± 13.08 years. Over an average follow-up period of 8.92 years, there were 102 cases of cancer in the UGIB group and 210 cases in the non-UGIB group. The results of the Cox model analysis indicated that the strength of association between UGIB and cancer depends on specific cancer site. Excluding patients with follow-up periods of less than 1, 3, and 5 years weakened the associations between UGIB and GI cancer in sensitivity analysis. ConclusionUGIB may serve as a sign of occult cancer, necessitating thorough evaluation of middle-aged and elderly patients presenting with this warning symptom to detect the possibility of missing a cancer diagnosis.

An Earthen Sill as a Measure to Mitigate Salt Intrusion in Estuaries

At a global scale, deltas are vital economic hubs, in part due to the combination of their access to inland regions via river systems with their proximity to sea. However, with the sea in close vicinity also comes the threat of freshwater contamination by saline seawater, especially during droughts. This study explores the potential of a mitigation measure to estuarine salt intrusion, namely the construction of a (temporary) earthen sill—a measure implemented in the Lower Mississippi River near New Orleans (LA, USA). This study suggests design guidelines on how a sill can be used to mitigate estuarine salt intrusion: the design should focus on the longitudinal placement and the height of the sill, and the mitigating efficiency of the sill reduces with increasing tidal range. Overall, a (temporary) sill has great potential to reduce salt intrusion in salt wedge estuaries if there is sufficient water depth available.

Carbon Pricing Impacts on Four Pollutants: A Cross-Country Analysis

Research on climate change mitigation has increasingly considered carbon pricing, with these efforts concentrating on reductions in carbon dioxide (CO2) emissions. Our comprehensive cross-country analysis extends this focus by quantitatively evaluating the effects of carbon pricing on four major pollutants: CO2, nitrous oxide (N2O), methane (CH4), and particulate matter (PM). We use regressions and introduce entropy balancing to this research area. Analyzing data from 132 countries from 1992 to 2019, we find that carbon pricing is associated with an average annual reduction in CO2 emissions by 3 percentage points. A one-unit increase in a coverage-weighted carbon price is associated with reductions in N2O emissions by approximately 0.1 percentage points. A shorter panel for 2010–2017 shows a larger impact of 0.3 percentage points for PM. These findings underline the efficacy of carbon pricing not just in curtailing CO2 but in significantly mitigating other harmful pollutants on a global scale. Reductions in pollutants beyond CO2 provide further motivation for policymakers to pursue carbon pricing.

Effects of pain education on disability, pain, quality of life, and self-efficacy in chronic low back pain: A randomized controlled trial.

Low back pain stands as a prevalent contributor to pain-related disability on a global scale. In addressing chronic low back pain (CLBP), there is a growing emphasis on incorporating psychological strategies into the management process. Among these, pain education interventions strive to reshape pain beliefs and mitigate the perceived threat of pain. This randomized controlled trial sought to assess the effects of pain education on various aspects, including pain levels, disability, quality of life, self-efficacy, and prognostic characteristics in individuals grappling with CLBP. The clinical trial, retrospectively registered with the Clinical Trials Registry of India (CTRI/2021/08/035963), employed a two-arm parallel randomized design. Ninety-two participants with CLBP were randomly assigned to either the standard physiotherapy care with a pain education program or the control group. Both groups underwent a 6-week intervention. Assessment of pain intensity (using NPRS), disability (using RMDQ), self-efficacy (using the general self-efficacy scale), and well-being (using WHO 5I) occurred both before and after the 6-week study intervention. Post-intervention score comparisons between the groups revealed that the pain education intervention led to a significant reduction in disability compared to the usual standard care at 6 weeks (mean difference 8.2, p < 0.001, effect size Cohen d = 0.75), a decrease in pain intensity (mean difference 3.5, p < 0.001, effect size Cohen d = 0.82), and an improvement in the well-being index (mean difference 13.7, p < 0.001, effect size Cohen d = 0.58). The findings suggest that integrating a pain education program enhances the therapeutic benefits of standard physiotherapy care for individuals dealing with chronic LBP. In conclusion, the clinical benefits of pain education become apparent when delivered in conjunction with standard care physiotherapy during the management of chronic low back pain.

Lignocellulosic Residues from Fruit Trees: Availability, Characterization, and Energetic Potential Valorization

Reducing the carbon footprint of energy production is one of the most pressing challenges facing humanity today. Lignocellulosic biomass residues from fruit production industries show promise as a viable energy source. This paper presents a study of the Italian context concerning the utilization of orchard lignocellulosic residues for energy production as electricity or bioethanol. The potential of various orchard residues was assessed through chemical and physical analyses, and an equivalent electrical energy of about 6441.62 GWh or an amount of 0.48 Mt/y of bioethanol was obtained based on the average annual dry residue mass availability of about 3.04 Mt/y. These data represent 9.30% of the national electrical energy production from renewable sources, as well as 6.21% of the Italian demand for gasoline in 2022. Electricity generation from these residues has shown its potential as a reliable and sustainable baseload power source, as well as a source of renewable transportation fuel. The studied process could be a valuable reference to expand these concepts on a global scale to achieve a greener and more sustainable energy future.

The atmosphere: a transport medium or an active microbial ecosystem?

The atmosphere may be Earth's largest microbial ecosystem. It is connected to all of Earth's surface ecosystems and plays an important role in microbial dispersal on local to global scales. Despite this grand scale, surprisingly little is understood about the atmosphere itself as a habitat. A key question remains unresolved: does the atmosphere simply transport microorganisms from one location to another, or does it harbor adapted, resident, and active microbial communities that overcome the physiological stressors and selection pressures the atmosphere poses to life? Advances in extreme microbiology and astrobiology continue to push our understanding of the limits of life towards ever greater extremes of temperature, pressure, salinity, irradiance, pH, and water availability. Earth's atmosphere stands as a challenging, but potentially surmountable, extreme environment to harbour living, active, resident microorganisms. Here we confront the current understanding of the atmosphere as a microbial habitat, highlighting key advances and limitations. We pose major ecological and mechanistic questions about microbial life in the atmosphere that remain unresolved and frame the problems and technical pitfalls that have largely hindered recent developments in this space, providing evidence-based insights to drive future research in this field. New innovations supported by rigorous technical standards are needed to enable progress in understanding atmospheric microorganisms and their influence on global processes of weather, climate, nutrient cycling, biodiversity, and microbial connectivity, especially in the context of rapid global change.

Examining the Performance of the Sexual Minority Adolescent Stress Inventory with Transgender and Gender-Diverse Youth and Sexual Minority Emerging Adults: A Methodological Study.

Purpose: We examined the psychometric properties and criterion validity of the Sexual Minority Adolescent Stress Inventory (SMASI) among 730 sexual minority (SM) and transgender and gender-diverse (TGD) youth aged 14 to 24 years who participated in a human immunodeficiency virus study. Methods: We tested the factor structure of the global scale and subscales and measurement invariance across age, gender identity, sex assigned at birth, sexual identity, ethnoracial identity, and city. For criterion validity, we regressed mental health and substance use measures on the global scale. Results: The global scale had excellent fit (comparative fit index = 0.95) and high reliability (omega = 0.89). Subscale model fit was adequate. We confirmed invariance by gender identity and age and established criterion validity. Conclusion: The SMASI exhibits strong psychometric properties among SM emerging adults and TGD youth. Modifications could enhance the SMASI to better capture both sexual and gender minority stress among ethnoracial minority youth.

THE RIGHT TO A HEALTY ENVIRONMENT

The exercise of human rights is adversely affected by environmental degradation. Nevertheless, linking human rights to the right to a healthy environment is just one aspect of this right. The other aspect is environmental degradation, which currently does not negatively affect human rights. However, these environmental degradations may adversely affect human rights in the long term. This broader right covers ecological and ecosystem degradation, development, and protection in this context. A safe, clean, healthy, and sustainable environment was recognized as a fundamental human right for the first time ever on a global scale with the adoption of the UN General Assembly's resolution. There are only a few conventions that directly contain this right. However, it does not follow that other accords do not also safeguard this righ.This study aims to define the concept and ascertain to what extent the right to a healthy environment is protected by international law.

Investigating the Application of Regression Discontinuity in the Field of International Health Economics

As one of the most significant quasi-experimental research methods, with over eight decades of development, Regression Discontinuity Design (RDD) has garnered extensive attention within the field of international health economics. It has provided robust methodological support for causal inference in research conducted within this domain. This paper provides a comprehensive review and synthesis of the foundational concepts, origins, and evolutionary trajectory of the RDD. It systematically examines the relevant studies in the domain of international health economics, discusses the strengths and limitations of the RDD, and anticipates its future applications in the same field. The aim is to support the utilization of RDD in international health economic research. On a theoretical level, it has effectively enhanced the flexibility and applicability of research designs within the domain of international health economics, augmenting the economic efficiency and external validity of studies, and offering a versatile tool for related research on a global scale. On a practical level, RD accommodates the diverse policy needs of programs across various countries and regions. It provides a more robust and reliable empirical foundation for the formulation of pertinent health policies, aiming to improve the efficiency of health resource allocation and promote equity in health outcomes.

An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes

Ecological stability (ES) is recognized as a crucial factor for sustainable development at global and regional scales. However, the importance of this factor was not considered significant. Hence, the main aim of this study was to introduce a new approach that focuses on detecting ES over the Maharloo watershed in Iran. To achieve this goal, we extracted land use and land cover (LULC) data from the Google Earth Engine (GEE) platform by applying the random forest (RF) machine learning method, which obtained Kappa statistics of 0.85, 0.86, and 0.87 for the years 2002, 2013, and 2023, respectively. We identified both stable and unstable regions based on LULC changes and employed them using machine learning to forecast the ES. The most important predictors of ES were elevation, soil organic carbon index, precipitation, and salinity. The results of this research revealed that certain areas within the Maharloo watershed have experienced ecological instability in recent years, with gardens showing the highest percentage (60.65 %) of instability among all land-use categories. The performance and validation of our model suggest that the study results are reliable (AUC = 0.86). This study offers detailed maps of ES and trends, offering valuable insights for decision makers to support landscape conservation and restoration efforts. Overall, the findings contribute to a more comprehensive understanding of the ecological dynamics of the Maharloo watershed and provide valuable insights for sustainable development and conservation efforts in other regions.

DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications

Channel attention (CA) has been wildly applied to enhance the diagnosis performance of multiscale convolution (MSC)-based diagnosis methods. Nevertheless, most of the existing CA modules only consider the internal local correlation among different channels within each scale feature, but ignore the global correlation among different scales, restricting further improvement. To address this issue, a novel deep cross-scale interactive attention network (DCSIAN) is developed to achieve accurate fault diagnosis for aviation hydraulic pumps under high-noise environments. Specifically, a novel cross-scale interactive attention module (CSIAM) is developed and introduced into MSC to learn complementary and rich multiscale features from original vibration signals. CSIAM adopts two cascaded submodules to focus on local channel correlation and global scale correlation simultaneously. Local channel correlation is used to adaptively measure the importance of different channel feature within each scale, while global scale correlation is used to dynamically determine the contribution of each scale feature to the final diagnostic result. In this way, the fault-related information at different scales can be fully captured and utilized. Finally, the effectiveness of DCSIAN is validated by a series of experimental comparisons on an aviation hydraulic pump dataset and a bearing dataset with various types noise.