Global System Research Articles

Sensitivity of joint atmospheric-terrestrial water balance simulations to soil representation: Convection-permitting coupled WRF-Hydro simulations for southern Africa

Regional weather and climate models play a crucial role in understanding and representing the regional water cycle, yet the accuracy of soil data significantly affects their reliability. In this study, we employ the fully coupled Weather Research and Forecasting Hydrological Modeling system (WRF-Hydro) to assess how soil hydrophysical properties influence regional land-atmosphere coupling and the water cycle over the southern Africa region. We utilize four widely-used global soil datasets, including default soil data for model from the Food and Agriculture Organization, and alternative datasets from the Harmonized World Soil Database, Global Soil Dataset for Earth System Model, and global gridded soil information system SoilGrids. By conducting convection-permitting coupled WRF-Hydro simulations with the Noah-MP land surface model using each of the aforementioned soil datasets, our benchmark analysis reveals substantial differences in soil hydrophysical properties and their significant impact on the simulated regional water cycle during the austral summer. Alterations in soil datasets lead to both spatial and temporal variations in surface water and energy fluxes, which in turn profoundly influence the atmospheric thermodynamic structure. Reduced soil water-holding capacity leads to subsequent reduction in soil moisture and latent heat, resulting in significant decreases in convective available potential energy and convective inhibition, signaling potential effects on precipitation distributions. In arid interior regions of southern Africa, shifts towards drier and warmer surface conditions due to soil data discrepancies are found to enhance atmospheric moisture convergence, suggesting a possible localized negative feedback of soil moisture on precipitation. Overall, the results for southern Africa indicate that soil data discrepancies exert more pronounced impact on terrestrial fields in dry subregions and on atmospheric fields in temperate subregions, highlighting the broad uncertainties in the regional water cycle reproduced within the model.

Alzheimer’s disease diagnosis using convolutional neural networks model

The global healthcare system and related fields are experiencing extensive transformations, taking inspiration from past trends to plan for a technologically advanced society. Neurodegenerative diseases are among the illnesses that are hardest to treat. Alzheimer’s disease is one of these conditions and is one of the leading causes of dementia. Due to the lack of permanent treatment and the complexity of managing symptoms as the severity grows, it is crucial to catch Alzheimer’s disease early. The objective of this study was to develop a convolutional neural network (CNN)-based model to diagnose early-stage Alzheimer’s disease more accurately and with less data loss than methods previously discovered. CNN, is adept at processing and recognising images and has been employed in various diagnostic tools and research in the healthcare sector, showing limitless potential. Convolutional, pooling and fully linked layers are the common layers that make up a CNN. In this paper, five CNN modelswere randomly chosen (ResNet, DenseNet, MobileNet, Inception, and Xception) and were trained. ResNet performed the best and was chosen to undergo additional modifications to improve accuracy to 95.5%. This was a remarkable achievement that made us hopeful for the performance of this model in larger datasets as well as other disease detection.

Changing of nasal fracture patterns in maxillofacial trauma consultation-impact of the covid-19 pandemic.

In 2020, the coronavirus SARS-CoV-2 led to a pandemic that had a major impact on the global health care systems. The aim of this study was to analyze the impact of the Covid-19 pandemic on nasal bone (NB) fracture patterns/distributions and circumstances in a German cranio-maxillofacial trauma center. This retrospective study compared the nasal fracture patterns of patients in the PreCovid (PC) era (February 2019 - January 2020) with patients in the IntraCovid (IC) era (February 2020 - January 2021). In addition to baseline characteristics, the type of NB fractures, the circumstances leading to NB fracture and hospital admissions/treatments were analyzed. The present study showed a significant decrease in the total number of NB fractures during the Covid-19 pandemic. In the IC period, a significant increase in falls and virus-/flu associated syncopes leading to NB fractures was detected. At the same time, a significant decrease in sports accidents, road traffic accidents and interpersonal violence leading to NB fractures was observed in the IC period. Under the influence of the Covid-19 pandemic, a significant increase in accidents at home, accidents during the weekdays and closed reductions under local anesthesia was detected when being compared to the PC period. The daytime of trauma leading to NB fractures also changed significantly from night-time (PC) to morning-time (IC). The Covid-19 pandemic had a significant impact on the NB fracture circumstances and treatment modalities. Therefore, the results of this study can serve as a baseline for further studies of the impact of the Covid-19 pandemic on NB fracture patterns among different countries.

Six-compound combo remedy ameliorates corticosterone-induced depressive behaviors in mice via targeting HTR1A signaling.

Dysregulation of brain innate immunity involving microglia is implicated in the pathology of neurological disorders including depression. Depression is a prominent medical challenge to global public health systems. Synthetic antidepressant drugs are limited by severe side-effects. The present study aimed to identify the active compounds from the well-documented herbal medicine formula Banxia-Houpo decoction (BHD) and discover the underlying mechanisms for tuning microglia. We initially employed LC-MS profiling and network pharmacology analysis to predict the active compound-target interaction networks. We subsequently validated the potential active compounds and targets in a mouse model of corticosterone (CORT)-induced depression and post-synaptic microglia BV2 cells. As results, 64 compounds were identified in the ethanolic BHD extract and predicted to target 25 depression-related genes. Interestingly, the serotonergic synapse pathway received the highest enrichment score while 5-hydroxytryptamine receptor 1A (HTR1A) was targeted by six compounds (i.e., baicalein, luteolin, N-nornuciferine, roemerine, scutellarin, 6-shogaol). In parallel assays, a six-compound combo (SCC) and BHD markedly ameliorated the depressive-like behaviors in CORT-lesioned mice and well protected highly differentiated (HD) PC12 cells against CORT challenge. Moreover, SCC and BHD effectively induced HTR1A expression in mice and post-synaptic microglia BV2 cells. HTR1A antagonist WAY-100635 at 1mg/kg/d via intraperitoneal injection attenuated the effects of SCC and BHD on the depressive behaviors in mice. These results suggest that SCC might be a potential remedy against depression and other neurological disorders via targeting HTR1A in microglia.

A Review on Post Pandemic Cardiac Arrests

Abstract: The COVID-19 pandemic has profoundly impacted global healthcare systems, with a significant increase in cardiac arrests reported during and following the peak phases of infection. This review examines the epidemiology, pathophysiology, clinical characteristics, and outcomes of post-pandemic cardiac arrest. It explores the complex interplay between viral infection, systemic inflammation, and cardiovascular complications, highlighting key risk factors such as pre-existing comorbidities and delayed medical interventions. Furthermore, the review discusses the challenges faced by healthcare providers in managing cardiac arrest cases amidst pandemic-related disruptions in healthcare delivery and emphasizes the importance of tailored resuscitation protocols and post-resuscitative care strategies. Insights from this review underscore the need for proactive public health measures, robust healthcare infrastructure, and ongoing research to mitigate the long-term impact of pandemics on cardiovascular health.

Assessing Marginal Effects of Non-Pharmaceutical Interventions on the Transmission of SARS-CoV-2 across Africa: A Hybrid Modeling Study.

Since 2019, a new strain of coronavirus has challenged global health systems. Due its fragile healthcare systems, Africa was predicted to be the most affected continent. However, past experiences of African countries with epidemics and other factors, including actions taken by governments, have contributed to reducing the spread of SARS-CoV-2. This study aims to assess the marginal impact of non-pharmaceutical interventions in fifteen African countries during the pre-vaccination period. To describe the transmission dynamics and control of SARS-CoV-2 spread, an extended time-dependent SEIR model was used. The transmission rate of each infectious stage was obtained using a logistic model with NPI intensity as a covariate. The results revealed that the effects of NPIs varied between countries. Overall, restrictive measures related to assembly had, in most countries, the largest reducing effects on the pre-symptomatic and mild transmission, while the transmission by severe individuals is influenced by privacy measures (more than 10%). Countries should develop efficient alternatives to assembly restrictions to preserve the economic sector. This involves, e.g. training in digital tools and strengthening digital infrastructures.

Role of Social-Emotional Learning (SEL) in Student Academic Outcomes of Jordanian Public Universities

Objectives: Well-being-centered teaching approaches, including social-emotional learning, have recently gained a prominent global position due to their close association with developing the educational climate and their reflection on students’ academic outcomes. Accordingly, this research explores the role of social-emotional learning in students’ academic outcomes in Jordanian public universities. Methods: Data were collected using a comprehensive survey that included 10 Jordanian public universities. The study sample consisted of 541 students from different majors and degrees in those universities. The research followed an analytical approach based on structural equation modeling (SEM) to verify the validity and reliability of the measurement model, in addition to testing the hypotheses. Results: The research concluded that all dimensions of social-emotional learning positively affect students’ academic outcomes, especially self-management, which achieved the highest impact factor. Conclusions: The research provided a set of practical implications for educational policymakers in Jordan based on developing workshops and training courses that enhance the ability of faculty members to follow an approach focused on addressing behavioral and emotional aspects, in conjunction with developing students’ cognitive skills. This research contributes theoretical importance to developing frameworks for the development of educational development in developing countries. Moreover, it provides reliable empirical evidence for developing the global education system to achieve student well-being and improve the quality of education.

Machine-learning nowcasting of the Atlantic Meridional Overturning Circulation

The Atlantic Meridional Overturning Circulation (AMOC) is a significant component of the global ocean system, which has so far ensured a relatively warm climate for the North Atlantic and mild conditions in regions, such as Western Europe. The AMOC is also critical for the global climate. The complexity of the dynamical system underlying the AMOC is so vast that a long-term assessment of the potential risk of AMOC collapse is extremely challenging. However, short-term prediction can lead to accurate estimates of the dynamical state of the AMOC and possibly to early warning signals for guiding policy making and control strategies toward preventing AMOC collapse in the long term. We develop a model-free, machine-learning framework to predict the AMOC dynamical state in the short term by employing five datasets: MOVE and RAPID (observational), AMOC fingerprint (proxy records), and AMOC simulated fingerprint and CESM AMOC (synthetic). We demonstrate the power of our framework in predicting the variability of the AMOC within the maximum prediction horizon of 12 or 24 months. A number of issues affecting the prediction performance are investigated.

Book Review: Transformations of Global Food Systems for Climate Change Resilience: Addressing Food Security, Nutrition, and Health

Book Review: Transformations of Global Food Systems for Climate Change Resilience: Addressing Food Security, Nutrition, and Health

Salvianolic acid B in fibrosis treatment: a comprehensive review

Fibrosis is a public health issue of great concern characterized by the excessive deposition of extracellular matrix, leading to the destruction of parenchymal tissue and organ dysfunction that places a heavy burden on the global healthcare system due to its high incidence, disability, and mortality. Salvianolic acid B (SalB) has positively affected various human diseases, including fibrosis. In this review, we concentrate on the anti-fibrotic effects of SalB from a molecular perspective while providing information on the safety, adverse effects, and drug interactions of SalB. Additionally, we discuss the innovative SalB formulations, which give some references for further investigation and therapeutic use of SalB’s anti-fibrotic qualities. Even with the encouraging preclinical data, additional research is required before relevant clinical trials can be conducted. Therefore, we conclude with recommendations for future studies. It is hoped that this review will provide comprehensive new perspectives on future research and product development related to SalB treatment of fibrosis and promote the efficient development of this field.

The new world monetary system – prerequisites for creation and implementation mechanisms

The article examines the main directions of creating a new global monetary system as the basis for the formation of an alternative global financial architecture. The strengthening of the role of the BRICS countries in the global financial and monetary system is shown. The main financial indicators of the New Development Bank (NDB) are analyzed, including the history of its creation, share capital, loan portfolio, borrowed funds from the global capital market. The prospects for the development of the NTB and its ability to participate in the formation of a new global financial and monetary system independent of the Anglo-Saxon financial elite and international financial institutions controlled by it are assessed. The possibilities of introducing a single Brics unit of account into the NBR are being considered.

On the extent, trend, and stability of market concentration in the global aviation system since 2010

In recent decades, substantial efforts for liberalization and deregulation of the aviation sector have facilitated the entry of new firms into markets and led to a significant reduction in airfares. How competition in the airline sector has evolved at the global scale since the 2000s receives little attention in the literature, presumably due to the unavailability of appropriate datasets. This study investigates the airline market concentration across worldwide markets for the years 2010 to 2022; to the best of our knowledge this is the first such effort with longitudinal data for more than 10 years at a global scale. We find heterogeneities in the extent, trend, and stability of market concentration and aim to identify potential drivers behind. We believe that our study contributes to the rich existing literature on airline competition by providing an empirical reference baseline for the global aviation system in the first part of the 21st century.

Development of a standardized set of outcomes for autism spectrum disorder: The International Consortium for Health Outcomes Measurement (ICHOM)

BackgroundAutism spectrum disorder (ASD) is characterized by persistent deficits in reciprocal social interaction, communication, and restricted, repetitive, behaviour, that are atypical or excessive for the individual’s age and sociocultural context (Diagnostic and Statistical Manual 5th ed TR.; 2022). The rate of ASD continues to increase and remains a concern due to inequitable access to diagnosis and quality services. A lack of standardization in assessment and treatment presents further difficulty in benchmarking and improving care. MethodThe International Consortium for Health Outcomes Measurement (ICHOM) recruited a Working Group (WG) of 20 subject matter experts, including researchers, clinicians, policy makers, and lived-experience experts to identify a minimum set of measurable outcomes along with case mix variables (i.e., risk adjustment factors). A proposed set of Patient Centered Outcome Measures (henceforth known as the ASD Set) was identified and endorsed using a modified Delphi process to reach consensus. ResultsThe WG took into consideration variation in global health, social care and educational systems were considered to ensure implementation of the ASD Set is feasible. The Set includes a core set of measurable outcomes (i.e., domains) that include core symptoms, daily functioning, accessibility, and support. ConclusionsThe ICHOM ASD Set is a scientifically-sound, internationally vetted tool that will enable assessment of care for individuals with ASD that can facilitate targeted, person-centered clinical and social inclusion strategies. Large scale implementation and use should generate standardized data describing the individual's health and wellbeing that can inform decision-making, quality improvement and best-practices insights.

Clinical Comparison of Drug-Coated Balloon and Drug-Eluting Stent for Femoropopliteal Lesions in Chronic Limb-Threatening Ischemia With Wounds.

Endovascular therapy (EVT) with devices such as drug-coated balloons (DCBs) and drug-eluting stents (DESs) for atherosclerotic disease in the femoropopliteal (FP) artery has been established. However, EVT using drug-based devices for chronic limb-threatening ischemia (CLTI) remains challenging. The optimal device for FP lesions in patients with CLTI remains unknown. This study compared the clinical efficacy of DCB and DES in patients with CLTI and FP lesions.Methods and Results: This retrospective single-center study included 539 consecutive patients (562 lesions) treated with EVT between January 2018 and December 2022; 166 patients with CLTI and Rutherford Class 5 or 6 wounds underwent EVT with DCB or DES. Clinical outcomes were compared between 53 pairs after propensity score matching. There were no significant differences between the DCB and DES groups in the incidence of complete wound healing without death or major amputation (84.8% vs. 80.2%, respectively; P=0.99), primary patency (69.4% vs. 75.6%, respectively; P=0.65), and freedom from target lesion revascularization at 1 year (78.6% vs. 78.0%, respectively; P=0.92). Multivariate analysis showed that complete wound healing at 1 year is negatively associated with hemodialysis and Wound, Ischemia, and foot Infection Stage 4, but positively associated with Global Limb Anatomic Staging System FP Grade 3 or 4. No significant differences in clinical outcomes were found between DCB and DES for patients with CLTI and FP lesions.

Satellite-based InSAR Geodesy and Collocation with GNSS

Satellite radar interferometry (InSAR) enables large-scale monitoring of displacement with precision akin to ground-based methods. Using measurements from Sentinel-1 satellites, persistent scatterer networks cover areas up to hundreds of kilometers in size. One of the current challenges for the InSAR community is to tie these networks into a current and country-specific global terrestrial reference system through collocation with other geodetic techniques, especially Global Navigation Satellite Systems (GNSS). In this work, an optimal procedure for assessing a suitable collocation properties for InSAR and GNSS techniques is discussed, along with the proposal for the methodology to determine the spatial relationship between the reference points of both techniques. The study analyzes three collocation stations in Slovakia using their radar backscattering characteristics. InSAR achieves an intrinsic accuracy of up to 1 mm but has uncertainties several orders of magnitude larger in 3D space. A collocation of InSAR measurements with GNSS can tie relative InSAR displacement estimates to an absolute reference frame.

Strategies to strengthen the resilience of primary health care in the COVID-19 pandemic: a scoping review

BackgroundPrimary Health Care (PHC) systems are pivotal in delivering essential health services during crises, as demonstrated during the COVID-19 pandemic. With varied global strategies to reinforce PHC systems, this scoping review consolidates these efforts, identifying and categorizing key resilience-building strategies.MethodsAdopting Arksey and O'Malley's scoping review framework, this study synthesized literature across five databases and Google Scholar, encompassing studies up to December 31st, 2022. We focused on English and Persian studies that addressed interventions to strengthen PHC amidst COVID-19. Data were analyzed through thematic framework analysis employing MAXQDA 10 software.ResultsOur review encapsulated 167 studies from 48 countries, revealing 194 interventions to strengthen PHC resilience, categorized into governance and leadership, financing, workforce, infrastructures, information systems, and service delivery. Notable strategies included telemedicine, workforce training, psychological support, and enhanced health information systems. The diversity of the interventions reflects a robust global response, emphasizing the adaptability of strategies across different health systems.ConclusionsThe study underscored the need for well-resourced, managed, and adaptable PHC systems, capable of maintaining continuity in health services during emergencies. The identified interventions suggested a roadmap for integrating resilience into PHC, essential for global health security. This collective knowledge offered a strategic framework to enhance PHC systems' readiness for future health challenges, contributing to the overall sustainability and effectiveness of global health systems.

Theoretical and experimental investigation into detection of early-stage propagation of double cracks with distributed fiber optic sensor

A strain transfer model is developed to describe the transfer of crack opening displacement (COD) of double cracks in a structural substrate to the distributed fiber optic sensor (DFOS). Global and local coordinate systems are set up to aid in the deduction of the transfer of CODs of the double cracks to the DFOS. The analytical model of strain transfer is first derived in the local coordinate system and then is transformed into the global coordinate system. Analytical results show that the DFOS fiber strain induced by CODs of the double cracks in the structural substrate is affected by both the spacing and the CODs of the double cracks, and the strain peak is suppressed as the crack spacing is less than the characteristic length which is defined as the range of influence of the COD of the individual crack. The influences of the material properties of the DFOS, the fiber coating, the bonding adhesive, and the DFOS-fiber coating interfacial stiffness are discussed. The developed model is also experimentally validated by monitoring CODs of double cracks in aluminum alloy plates with optical frequency domain reflectometer (OFDR) DFOSs. Experimental results show that the strain distribution measured by the OFDR DFOSs agree well with the analytical results of the developed model. The limitations of the developed model and future work anticipated are then discussed.

Information on operational sea ice products and current and future activities of the German ice service

The ice service at the German Federal Maritime and Hydrographic Agency and its predecessors has been committed to the safety and easiness of ship navigation for more than 100 years. Within this paper, an overview of the operational products issued by the German ice service on a daily to weekly basis throughout the northern hemisphere winter season is given. These comprise written reports, ice charts, NAVTEX messages, and messages via the Global Telecommunication System to inform about the sea ice situation in German coastal waters, the Baltic Sea, and worldwide. Furthermore, the ice service has systematically collected ice observation data along the German North Sea and Baltic Sea coast since the winter of 1896/1897. The history of the German ice service is presented to put the sea ice data into context of the observation technologies used in the course of the existence of the ice service. These long-term observations enable climatological analyses of the sea ice cover in German coastal waters necessary for the safe operation of offshore infrastructure. An evaluation of the data shows a recent decline in sea ice occurrence in the Baltic Sea and German Bight. Current work is ongoing to preserve more of the historic data in digital form and also to transform the products to conform to modern standards in digital technologies and interactive solutions for the customers.

Deploying deep Solanaceae domestication and virus biotechnology knowledge to enhance food system performance and diversity

Abstract Our knowledge of crop domestication, genomics, and of the plant virosphere unevenly represents the taxonomic distribution of the global biodiversity, and, as we show here, is significantly enriched for the Solanaceae. Within the family, potato, tomato, eggplant, pepper, and over 100 lesser-known edible species play important nutrition and cultural roles in global and local food systems. Technologies using engineered viruses are transitioning from proof-of-concept applications in model plants to the precise trait breeding of Solanaceae crops. Leveraging this accumulated knowledge, we highlight the potential of virus-based biotechnologies for fast-track improvement of Solanaceae crop production systems, contributing to enhanced global and local human nutrition and food security.

The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback

Abstract. Terrestrial biosphere models are a key tool in investigating the role played by land surface in the global climate system. However, few models simulate the geographic distribution of biomes dynamically, opting instead to prescribe them using remote sensing products. While prescribing land cover still allows for the simulation of the impacts of climate change on vegetation growth and the impacts of land use change, it prevents the simulation of climate-change-driven biome shifts, with implications for the projection of future terrestrial carbon sink. Here, we isolate the impacts of prescribed vs. dynamic land cover implementations in a terrestrial biosphere model. We first introduce a new framework for evaluating dynamic land cover (i.e., the spatial distribution of plant functional types across the land surface), which can be applied across terrestrial biosphere models alongside standard benchmarking of energy, water, and carbon cycle variables in model intercomparison projects. After validating simulated land cover, we then show that the simulated terrestrial carbon sink differs significantly between simulations with dynamic vs. prescribed land cover for a high-CO2 future scenario. This is because of important range shifts that are only simulated when dynamic land cover is implemented: tree expansion into the Arctic and Amazonian transition from forest to grassland. In particular, the projected change in net land–atmosphere CO2 flux at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover. Our results illustrate the importance of climate-change-driven biome shifts for projecting future terrestrial carbon sink.