Science topics: MLR
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MLR - Science topic
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Publications related to MLR (10,000)
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Peaks in the mass loss rate (MLR) curve derived from thermogravimetric analysis (TGA) are commonly used to infer the pyrolysis rates of solid fuels. While the main peaks are often modelled, smaller MLR fluctuations are typically neglected, leading to discrepancies between models and experiments. The impact of these small fluctuations on key simulat...
As pension benefits from statutory public schemes become less generous, and many countries face pension-savings crises, the willingness to participate in supplementary retirement saving instruments becomes crucial for sustainable financial well-being. The main objective of this article is to present how trust and financial literacy influence the ch...
Background
Ischemia with non-obstructive coronary arteries (INOCA) is a frequent coronary syndrome with important impact on morbimortality. Systemic inflammation, a key pathophysiological mechanism in its development, is reflected in diverse bio-markers, such as the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR) and platel...
Expansive soils pose significant challenges due to their tendency to swell when wet and shrink when dry, causing ground instability. These volumetric changes can lead to structural damage, including foundation cracks, uneven floors, and compromised infrastructure. Addressing these issues requires proper soil evaluation and the implementation of sta...
This study analyzed factors influencing near-surface ozone (O3) in Henan Province from 2015 to 2022 using real-time pollutant data from the China National Environmental Monitoring Centre and daily meteorological data from the Henan Provincial Ecological Environment Monitoring and Safety Center. Regression and machine learning models (including mult...
Background
Length of stay (LOS) is a key indicator of posthepatectomy care quality. While clinical factors influencing LOS are identified, the balance between clinical and nonclinical influences remains unquantified. We developed an artificial intelligence (AI) framework to quantify clinical influences on LOS and infer the impact of hard-to-measure...
Due to the weak far-field radiation and strong local field enhancement properties of Mie lattice resonances(MLRs), a transmission resonance with a significantly high Q factor is achieved, which can be used in applications such as refractive index sensing, filtering, and nanolasing. In this paper, we design a semi-cylinder with a cuboid defect metas...
Lithium‐ion cells have become an important part of our daily lives. They are used to power mobile phones, laptops and more recently electric vehicles (both two‐ and four‐wheelers). The chemical behavior of the cells is rather complex and non‐linear. For reliable and sustainable use of the cells for practical applications, it is imperative to predic...
Objective
Hypertension development and progression are largely influenced by inflammation, which plays a critical role by activating the immune system and causing damage to the vascular endothelium. Metabolic dysfunction-associated fatty liver disease (MAFLD) is also associated with chronic low-grade inflammation, which drives disease progression v...
Filters serve as core equipment to ensure the normal operation of micro-irrigation systems, with head loss and filtration efficiency serving as the two key indicators for evaluating performance. In this study, we used a pre-pump filter-pontoon mesh rotary filter as the research object and conducted physical model tests under the flow rate (798–1050...
An accurate forecast of electric demand is essential for the optimal design of a generation system. For district installations, the projected lifespan may extend one or two decades. The reliance on a single-year forecast, combined with a fixed load growth rate, is the current industry standard, but does not support a multi-decade investment. Existi...
Soil bulk density (ρb) is vital for assessing soil organic carbon (SOC) and nutrient stocks, as well as for modeling soil processes. Although ρb can be measured using traditional methods, these are labor-intensive and time-consuming. Consequently, there is a growing interest in developing pedotransfer functions (PTFs) to predict ρb based on more ea...
Accurate identification of chicken genetic resources is crucial for biodiversity conservation and the development of breeding programs. Traditional morphological identification methods face significant challenges due to phenotypic similarities among breeds and the increasing complexity of global genetic resource exchanges. This study aims to develo...
Pinus densiflora is a pine species native to the Korean peninsula, and seed orchards have supplied material needed for afforestation in South Korea. Climate variables
affecting seed production have not been identified. The purpose of this study was to determine climate variables that influence annual seed production of two seed orchards using multi...
The aging sewer infrastructure in the U.S., covering 2.1 million kilometers, encounters increasing structural issues, resulting in around 75,000 yearly sanitary sewer overflows that present serious economic, environmental, and public health hazards. Conventional inspection techniques and deterministic models do not account for the unpredictable nat...
Given the cost, time requirements, and limited accessibility of Locked Wheel Skid Trailer (LWST) testing, this research explores alternative approaches to predicting skid number (SN) using more affordable and readily available devices. These alternatives offer quicker results, which is particularly relevant given the standardized nature of skid num...
Designing reliable electronic devices depends heavily on the reliability of solder joints. However, due to the ongoing advancement of novel lead-free solder materials, assessing their reliability for various applications, particularly in extreme conditions, often involves costly and time-consuming tests. Multiple factors, including board, package,...
This article proposes an optimization method to predictively model the perovskite solar cell with molybdenum disulfide (MoS2) based inorganic hole transport material (HTM) for improved fill factor (FF) and power conversion efficiency (PCE) by finding the most optimum thickness and donor/acceptor concentration for each layer via a hybrid L27 Taguchi...
Insulin resistance (IR) is the core for type 2 diabetes and metabolic syndrome. The homeostasis assessment model is a straightforward and practical tool for quantifying insulin resistance (HOMA-IR). Multiple adaptive regression spline (MARS) is a machine learning method used in many research fields but has yet to be applied to estimating HOMA-IR. T...
Objective: the viral load is determined by the cycle threshold (Ct), which is inversely proportional to the amount of target sequences present in the sample. In various viral diseases, the induction of inflammatory cytokines is strongly correlated with the viral load. However, the viral kinetics of SARS-CoV-2 remain poorly characterized, and its as...
Absct
The aim of this study is to estimate thtrae influence of information and communication technology, based on the use of the ICT development index (measured by the number of Internet users, fixed broadband Internet subscribers, and the number of mobile subscriptions per 100 inhabitants), on economic development measured by gross domestic produc...
Real-time operation data analysis and condition monitoring of large wind turbines are crucial for efficient and safe operation of wind farms. In response to this, an accurate prediction model architecture based on the multivariate linear regression algorithm is proposed for a deeper understanding of the actual operation of large wind turbines. Comp...
Purpose
Digital camera color images have been widely and effectively used for assessing soil organic matter (SOM), but they are influenced by both subjective and objective factors. Therefore, we investigated the optimized conditions and models for a colorimeter to rapidly and accurately assess SOM content.
Materials and methods
This study utilized...
Synthetic organic dye such as methylene blue (MB) is non-biodegradable and highly toxic, released from textile wastewater. This work investigates the applicability of Ni@ZnO polymer nanocomposite for MB removal from the wastewater. To understand their differences before and after MB adsorption, composites’ surface morphology was characterized by va...
Nitrogen serves as a critical nutrient influencing the yield and quality of processed tomatoes; however, traditional methods for assessing its levels are both labor-intensive and costly. This study aimed to explore an efficient monitoring approach by analyzing the relationship between leaf nitrogen content (LNC) and canopy spectral reflectance char...
The coconut crop (Cocos nucifera L.) is essential in humid tropical regions, contributing to the economy and food security. However, its perennial nature makes it sensitive to climate variability, particularly extreme events that affect productivity. This study evaluated the impacts of extreme climatic events on the productivity of dwarf green coco...
Unlike many studies that focus on binary classification , this study uniquely addresses road crash severity (RCS) classification in Thailand using three categories. A dataset of 31,817 cases collected between 2021 and 2022 was analyzed using nine features and four classifiers: Multinomial Logistic Regression (MLR), Least Absolute Shrinkage and Sele...
Trends in tropical tropospheric ozone over the past ~20–30 years have been reported using ozonesonde profiles from five SHADOZ sites (Thompson et al., 2021, “T21”; Stauffer et al., 2024, “S24”) and a combination of satellite, SHADOZ and IAGOS aircraft measurements (Gaudel et al., 2024). Selected tropical sonde and aircraft trends also appear in Van...
This study explores the concept of digital partnering among construction organisations, focusing on the essential factors that contribute to successful partnerships and their impact on achieving digital transformation. To gather quantitative data, a survey was conducted with construction professionals engaged in projects throughout South Africa. Th...
Understanding donor-reactive T-cell behavior post-transplantation is challenging owing to the rarity and diversity of these cells. Here, we aimed to evaluate the relevance of an assay for rapidly detecting alloreactive T cells in a mouse transplantation model. After 18 h of one-way mixed lymphocyte reaction (MLR) culture with pre-activated donor-de...
Tianen Yao Xinhao Li Zhi Li- [...]
Jing Li
Ozone pollution in Hangzhou Bay, one of the seven petrochemical clusters in China, is severe. Early ozone pollution has been detected recently, such as the maximum daily 8 h average (MDA8) ozone concentration in Jiaxing achieving 171.0 μg/m3 on 7 March 2023. Satellites have observed tropospheric column concentrations of ozone precursors formaldehyd...
Predicting housing unit price (HUP) is important for potential buyers and investors to make informed decisions. This study proposes a novel HUP prediction model based on neighbourhood component regression (NCR). The proposed NCR model was compared with other competitive methods such as principal component regression (PCR), multiple linear regressio...
Objective
Lung cancer (LC), the primary cause for cancer-related death globally is a diverse illness with various characteristics. Saliva is a readily available biofluid and a rich source of miRNA. It can be collected non-invasively as well as transported and stored easily. The process is also reproducible and cost-effective. The aim of this study...
This study explores the predictability of monthly asthma notifications using models built from different machine learning techniques in Maceió, a municipality with a tropical climate located in the northeast of Brazil. Two sets of predictors were combined and tested, the first containing meteorological variables and pollutants, called exp1, and the...
Purpose
This study investigates the risk of contrast-associated acute kidney injury (CA-AKI) in trauma patients, focusing on the impact of cumulative contrast medium doses.
Methods
A retrospective review was conducted at a level 1 trauma center (2019–2021). The study included patients who underwent intravascular contrast-enhanced examinations for...
Purpose
Soil spectroscopic technology has proven to be a real-time alternative for estimating soil organic carbon (SOC); however, soil water often affects spectra and limits the accuracy of SOC estimation. This study aimed to decrease the effect of soil water on SOC spectroscopic modeling.
Materials and methods
A separate correction dewatering mac...
Objectives
Preoperative peripheral hematological indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and prognostic nutritional index (PNI), exhibit promise as prognostic markers for glioma. This study evaluated the prognostic value of a combined scoring system incorpo...
Background/Objectives: Community-acquired pneumonia is a major cause of morbidity and mortality, and various scoring systems and laboratory assessments are available for predicting prognosis. The untapped potential of combining the neutrophil/lymphocyte ratio (NLR) with the monocyte/lymphocyte ratio (MLR) and platelet/lymphocyte ratio (PLR) and the...
It is still a great challenge to increase the efficiency of intumescent flame retardant (IFR) in polypropylene (PP) system. Here, the synergistic effects of organo-modified montmorillonite (OMMT) on flame retardancy and thermal degradation of a novel halogen-free intumescent flame retardant PP system, which was composed of the charring agent (SBCPO...
Background
To investigate the association between inflammatory indices-systemic immune-inflammation index (SII), monocyte-lymphocyte ratio (MLR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and preoperative deep vein thrombosis (DVT) in patients undergoing total joint arthroplasty (TJA).
Methods
We created the receiver opera...
Aerosols and their chemical composition exert an influence on the atmospheric environment, global climate, and human health. However, obtaining the chemical composition of aerosols with high spatial and temporal resolution remains a challenging issue. In this study, using the NR-PM1 collected in the Beijing area from 2012 to 2013, we found that the...
Background: New-onset postoperative atrial fibrillation (POAF) is the most common complication after cardiac surgery, occurring approximately in one-third of the patients. This study considered all-comer patients who underwent cardiac surgery to build a predictive model for POAF. Methods: A total of 3467 (Center 1) consecutive patients were used as...
Understanding student academic performance is a cornerstone for developing sustainable educational practices that benefit students, teachers, policymakers, and society. This analysis directly impacts students’ ability to engage in and promote sustainable practices, thereby shaping their future academic success. While many studies focus on predictin...
The study explores issues related to the treatment of brain cancer caused by the heterogeneous nature of different variants of brain tumors. The objective of this study was to identify essential genes present in multiple types of brain cancer by using high dimensional gene expression data available on the Curated Microarray Database CuMiDa. The stu...
Mapping soil organic carbon (SOC) plays a crucial role in agricultural productivity and water management. This study discusses the potential of active and passive remote sensing for SOC estimation modeling in agricultural areas, incorporating synthetic aperture radar (SAR) data (L-band quad-polarization and C-band dual-polarization), multi-spectrum...
In this paper, we experimentally analyze the robustness of selected Federated Learning (FL) systems in the presence of adversarial clients. We find that temporal attacks significantly affect model performance in the FL models tested, especially when the adversaries are active throughout or during the later rounds. We consider a variety of classic l...
Mob programming (MP) is an emerging and relatively new and unexplored programming technique while getting more and more popularity and attention in the software industry. Due to the infancy of this area, there is a significant requirement to identify critical success factors (CSFs), that may be beneficial to be adopted by developers and critical ba...
Global food security and water resources are vulnerable to climatic changes and require evapotranspiration estimation for future crop water requirements. Still, assessment can be challenging to apply to realistic, complex landscapes. Further, agro-meteorological data scarcity in rural areas, drew in use of temperature-based evapotranspiration (TET)...
Timber is the most valuable commercial commodity taken from most forests. There is growing pressure on the timber industry to increase efficiency and sustainability. The State Timber Corporation (STC) currently functions as the sole authority in harvesting trees from state lands in Sri Lanka. They received permitted logged areas mainly from the for...
Diabetes mellitus (DM) is an important risk factor for the development of active tuberculosis (TB). QuantiFERON-TB Gold Plus (QFT-P), white blood cell count (WBC) assays and monocyte-to-lymphocyte ratio (MLR) reflect the inflammatory reactions associated with TB and offer the potential to monitor TB treatment to allow a better management of the dis...
Background/Objectives: Previous studies evaluated the prognostic role of hematological parameters in predicting outcome in patients with infective endocarditis (IE). However, only a few studies evaluated the role of hematological parameters in patients undergoing surgery for IE. The aim of this study was to review our 20-year experience with the tr...
As the quantity and quality of water resources decreases, the need for timely and valid prediction of the WTP of drinking water-used chemicals to produce quality drinking water for the final consumer increases. The question that arises is which prediction model performs better in predicting the chemical dosages used in a WTP of drinking water. ANNs...
Background: The Selective Cytopheretic Device (SCD) is an immunomodulatory cell-directed extracorporeal therapy that reprograms activated neutrophils and monocytes towards immune homeostasis in hyperinflammatory conditions such as acute kidney injury (AKI). However clinical mechanisms remain unclear.
Methods: We examined the effect of SCD treatment...
Accurate prediction of natural gas purchase volumes is crucial for both the economy and the environment. It not only facilitates the rational allocation of resources for companies but also helps to reduce operational costs. Although existing prediction methods have achieved some success in addressing the nonlinear relationships in natural gas purch...
In this study, three distinct brands of soybean oils with varying proportions of transgenic and non-transgenic were subjected to analysis. The fluorescence intensity (F) was obtained via a fluorescence spectrophotometer, while the absorption (µa) and reduced scattering coefficients (µ’s) were obtained by through a self-developed double integrating...
The integration of advanced predictive models is pivotal for optimizing demand forecasting and inventory management in cold chain logistics. This study evaluates the application of machine learning techniques—ARIMA (Auto-Regressive Integrated Moving Average) and Multiple Linear Regression (MLR)—to forecast demand trends and analyze key drivers in a...
Tropospheric ozone trends from models and satellites are found to diverge. Ground-based (GB) observations are used to reference models and satellites but GB data themselves might display station biases and discontinuities. Re-processing with uniform procedures, the TOAR-II Working Group Harmonization and Evaluation of Ground-based Instruments for F...