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In this paper we develop two models; the without shortages and the completely backlogging shortages with the price dependant demand rate under time value of money and inflation, finite time horizon and exponentially deterioration rate with the objective of maximizing the present worth of the total system profit. Using the dynamic programming method for each model, we are able to obtain different s
This article investigates the performance of several residuals for the Cox proportional hazards regression model to diagnose the influential observations. The standardized and adjusted forms of residuals are proposed for Cox proportional hazards regression model. In addition, Cook’s distance is proposed for both standardized and adjusted residuals. The assessment of different residuals for the ide
High-pressure homogenizers are prone to cavitation, which causes wear and influences breakup efficiency. However, the inception point, as well as the extent and intensity, depends on geometry, operation, and fluid properties. While several methods have been previously suggested to characterize cavitation in homogenizer valves (including ultrasonic methods), they have required highly specialized, s
Chronic wounds, particularly pressure ulcers, pose significant healthcare challenges, especially in the elderly population. This study presents an experimental murine model of chronically infected pressure ulcers using a single cycle of magnet-induced ischemic injury combined with infection by bioluminescent Staphylococcus aureus. The model addresses previous limitations in studying pressure ulcer
BACKGROUND: Lung cancer remains one of the most challenging diseases to treat due to its heterogeneity. Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS) mutations are genetic drivers in numerous cancer types including lung adenocarcinoma (LUAD). Despite recent advances in KRAS-targeted therapies, treatment resistance and limited therapeutic options necessitate advanced preclinical models, such as
We present the building blocks of an energy-efficient on-chip platform for neural network applications based on III-V semiconductor nanowires and nanopillar arrays. These will work as emitting and detecting neurosynaptic nodes for spiking nanocircuits, as light sensors that emulate navigational properties of insect vision systems.
Dust burden during the dust storms events imparts an adverse effect on human health and environment. The aim of this research is to provide a deeper understanding about the atmospheric dynamics of long-range transport of mineral dust for 8 severe dust storm events over the Indian region during the period 2008–2022. Transport of mineral dust analyzed based on MERRA-2 Dust column mass density, follo
In this study, a coupled transient thermomechanical finite element model is developed to examine the laser powder bed fusion (L-PBF) process of the Inconel 718 (IN718) and Oxide Dispersion Strengthened (ODS) superalloys (ODS-IN718). The linear isotropic elastic perfectly plastic constitutive model is implemented for the mechanical part whereas all the thermophysical properties are defined as fully
This paper looks at the role of gender in the shaping and exercise of political authority. Its empirical focus is a slum in central Trivandrum, Kerala's capital city, which is undergoing a phased process of formalisation and rebuilding funded through a flagship Indian national programme, the JNNURM. The upgrade project should offer a dense network of ‘invited’ spaces for female participation withi
Marine and salt marsh sediments contain large amounts of organic carbon (OC) and are therefore important in the global carbon cycle. Here, we collated previously published and unpublished measurements of sediment OC in marine and salt marsh sediments in European regional seas (EURO-CARBON; available at https://doi.org/10.5281/zenodo.14905489). To the extent possible the OC data were complemented b
Accurate prediction of spatial yield variations within individual fields is crucial for precision agriculture, as it enables optimized resource allocation and targeted crop management. In this study, we propose a novel framework that leverages remote sensing data and Graph Attention Networks (GATv2) to predict fine-scale yield variations for winter wheat at a high resolution (10 m × 10 m). The obj
The curve number (CN) method, developed by the Natural Resources Conservation Service (NRCS), is one of the most widely used approaches worldwide to estimate runoff from rainfall events. However, one of the remaining uncertainties in the method remains whether to apply a frequency-matched or natural data approach for computing the CN from rainfall-runoff data. To address this knowledge gap, this s
The mobilization of water has been key for the reconfiguration and modernization of the Spanish state. During the Francoist dictatorship (1939–1975), the hydro-social reengineering of Spain was central to Franco's political mission but failed to provide for subnational, regionalist aspirations which subsequently pursued their own agendas for water development. In this paper we examine the (failed)
Amyloid-β (Aβ) positron emission tomography (PET) imaging and cerebrospinal fluid (CSF) biomarkers are now established tools in the diagnostic workup of patients with Alzheimer's disease (AD), and their use is anticipated to increase with the introduction of new disease-modifying therapies. Although these biomarkers are comparable alternatives in research settings to determine Aβ status, biomarker
Microplastics are increasingly recognized as a pervasive pollutant in both aquatic and terrestrial environments, raising pressing concerns about their ecological impacts and implications for human health. Traditional detection and quantification methods—including manual microscopy and standalone spectroscopic techniques—offer reliable accuracy but are limited by labor-intensive procedures and low
Massively parallel sequencing (MPS) is increasingly used in forensic DNA analysis for SNP and STR genotyping, though accredited proficiency tests remain limited. To address this, five forensic DNA laboratories from four countries participated in a study to assess MPS methods across different kits and platforms. In this study ForenSeq DNA Signature Prep Kit, ForenSeq MainstAY kit, Precision ID Glob
Metal oxide nanoparticles are essential in various applications, and the synthesis through gas-phase generation methods offers a rapid and reliable pathway for nanoparticle production. Yet achieving precise control over their formation remains challenging due to the complex nature of oxidation processes. While bulk oxidation states can be assessed via off-line measurements, the dynamic nature of s
