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View article: Comparison of complete IV antibiotic course versus partial IV with oral antibiotics in probable and proven early-onset sepsis in a tertiary care centre; a step toward antimicrobial stewardship in the neonatal intensive care unit: a prospective observational study
Comparison of complete IV antibiotic course versus partial IV with oral antibiotics in probable and proven early-onset sepsis in a tertiary care centre; a step toward antimicrobial stewardship in the neonatal intensive care unit: a prospective observational study Open
Background: Neonatal sepsis, particularly early onset sepsis (EOS), remains a leading cause of neonatal morbidity and mortality. The standard treatment involves intravenous (IV) antibiotics; however, prolonged IV antibiotic use increases h…
View article: Addressing Volterra Partial Integro-Differential Equations through an Innovative Extended Cubic B-Spline Collocation Technique
Addressing Volterra Partial Integro-Differential Equations through an Innovative Extended Cubic B-Spline Collocation Technique Open
This paper introduces a novel collocation scheme based on an extended cubic B-spline for approximating the solution of a second-order partial integro-differential equation. The proposed scheme employs new extended cubic B-splines to discre…
View article: An Innovative Numerical Method Utilizing Novel Cubic B-Spline Approximations to Solve Burgers’ Equation
An Innovative Numerical Method Utilizing Novel Cubic B-Spline Approximations to Solve Burgers’ Equation Open
Burgers’ equation is a nonlinear partial differential equation that appears in various areas of physics and engineering. Finding accurate and efficient numerical methods to solve this equation is crucial for understanding complex fluid flo…
View article: Ensemble Representation of Satellite Precipitation Uncertainty Using a Nonstationary, Anisotropic Autocorrelation Model
Ensemble Representation of Satellite Precipitation Uncertainty Using a Nonstationary, Anisotropic Autocorrelation Model Open
The usefulness of satellite multi‐sensor precipitation (SMP) and other satellite‐informed precipitation products in water resources modeling can be hindered by substantial errors which vary considerably with spatiotemporal scale. One appro…
View article: Global Landslide Forecasting System for Hazard Assessment and Situational Awareness
Global Landslide Forecasting System for Hazard Assessment and Situational Awareness Open
Landslides triggered by extreme rainfall can be devastating, resulting in loss of life, property, and infrastructure. Landslide forecasting systems provide an opportunity to build awareness of potential hazards and ultimately take preempti…
View article: Collocation Approach Based on an Extended Cubic <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>B</a:mi> </a:math>-Spline for a Second-Order Volterra Partial Integrodifferential Equation
Collocation Approach Based on an Extended Cubic B -Spline for a Second-Order Volterra Partial Integrodifferential Equation Open
This paper focuses on an efficient spline-based numerical technique for numerically addressing a second-order Volterra partial integrodifferential equation. The time derivative is discretized using a finite difference scheme, while the spa…
View article: Assessing the viability of using CHIRPS-GEFS for landslide forecasting in the Lower Mekong Region
Assessing the viability of using CHIRPS-GEFS for landslide forecasting in the Lower Mekong Region Open
<p>The Lower Mekong region is particularly prone to natural hazards caused by extreme rainfall. During monsoon seasons from June to October, heavy rainfall triggers severe flash floods and landslides, posing a threat to human lives a…
View article: Comparative Numerical Study of Spline-Based Numerical Techniques for Time Fractional Cattaneo Equation in the Sense of Caputo–Fabrizio
Comparative Numerical Study of Spline-Based Numerical Techniques for Time Fractional Cattaneo Equation in the Sense of Caputo–Fabrizio Open
This study focuses on numerically addressing the time fractional Cattaneo equation involving Caputo–Fabrizio derivative using spline-based numerical techniques. The splines used are the cubic B-splines, trigonometric cubic B-splines and ex…
View article: Satellites Support Disaster Response to Storm-Driven Landslides
Satellites Support Disaster Response to Storm-Driven Landslides Open
Extreme precipitation can trigger deadly landslides. Satellite-based tools provide regional perspectives on landslide hazards, help assess risks in near-real time, and guide emergency responses.
View article: Landslide Hazard and Exposure Modeling for Situational Awareness and Response in Rio de Janeiro
Landslide Hazard and Exposure Modeling for Situational Awareness and Response in Rio de Janeiro Open
<p>The city of Rio de Janeiro is situated within a coastal region with steep slopes, intense seasonal rainfall, and vulnerable populations located on marginal slopes. Landslides are a seasonal challenge within the city and proximate …
View article: Towards A Global Landslide Forecast
Towards A Global Landslide Forecast Open
<p>Numerical weather models are used in a variety of applications, including a growing body of landslide hazard assessment models. Heretofore, these applications have not included global landslide forecasts but this remains an import…
View article: A Prototype IMERG Error Modeling Framework based on GPM DPR Observations and its Global Validation
A Prototype IMERG Error Modeling Framework based on GPM DPR Observations and its Global Validation Open
<p>The potential of global high-resolution near-realtime multi-sensor merged satellite precipitation products such as NASA&#8217;s 30-minute, 0.1&#176; Integrated Multi-satellitE Retrievals for Global Precipitation Mission (I…
View article: Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil
Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil Open
Extreme rainfall can be a catastrophic trigger for natural disaster events at urban scales. However, there remains large uncertainties as to how satellite precipitation can identify these triggers at a city scale. The objective of this stu…
View article: Assessing the viability of using GEOS-Forecast Product for Landslides Forecasting&#8722;A step toward Early Warning Systems
Assessing the viability of using GEOS-Forecast Product for Landslides Forecasting−A step toward Early Warning Systems Open
<p>Landslides across the globe are mostly triggered by extreme rainfall events affecting infrastructure, transportation and livelihoods. The risks are rarely quantified due to lack of data, analytical skills and limited modeling tech…
View article: Global Landslide Hazard Assessment for Situational Awareness (LHASA) Version 2: New Activities and Future Plans
Global Landslide Hazard Assessment for Situational Awareness (LHASA) Version 2: New Activities and Future Plans Open
<p>A remote sensing-based system has been developed to characterize the potential for rainfall-triggered landslides across the globe in near real-time. The Landslide Hazard Assessment for Situational Awareness (LHASA) model uses a de…
View article: Estimating uncertainties associated with quasi-global satellite infrared-based retrievals over land
Estimating uncertainties associated with quasi-global satellite infrared-based retrievals over land Open
An accurate characterization of the global hydrologic cycle is essential not only to study and forecast climate variations, but also for extreme event mitigation and agricultural planning. Since precipitation is the major driving force of …
View article: Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans
Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans Open
The performance of Level-3 gridded Global Precipitation Mission (GPM)-based precipitation products (IMERG, Integrated Multi-satellite Retrievals for GPM) is assessed against two references over oceans: the OceanRAIN dataset, derived from o…