22 papers · ranked by Valyu relevance
Erum Zahid, Ijaz Hussain, Gunter Spöck, Muhammad Faisal + 4 more
'Javid Shabbir' 'Nasser M. AbdEl-Salam' 'Tajammal Hussain' 'David O. Carpenter'] Sodium is an integral part of water, and its excessive amount in drinking water causes high blood pressure and hypertension. In the present paper, spatial distribution of sodium concentration in drinking water is modeled and optimized…
Gates Dupont, J. Andrew Royle, Muhammad Ali Nawaz, Chris Sutherland
Spatial capture-recapture (SCR) has emerged as the industry standard for estimating population density by leveraging information from spatial locations of repeat encounters of individuals. The precision of density estimates depends fundamentally on the number and spatial configuration of traps. Despite this knowledge…
F. Laroche
Quantifying the autocorrelation range of a species distribution in space is necessary for applied ecological questions like implementing protected area networks or monitoring programs. However, building a spatial sampling design to accurately estimate this range can conflict with other objectives such as estimating…
Authors not listed
Background Household surveys are a key epidemiological, medical, and social research method. In poor urban environments, such as slums, censuses can often be out-of-date or fail to record transient residents, maps may be incomplete, and access to sites can be limit, all of which prohibits obtaining an accurate sampling…
Yves Tillé, Matthieu Wilhelm
The aim of this paper is twofold. First, three theoretical principles are formalized: randomization, overrepresentation and restriction. We develop these principles and give a rationale for their use in choosing the sampling design in a systematic way. In the model-assisted framework, knowledge of the population is…
Abdollah Jalilian, Jorge Mateu, Luigi Sedda
Obtaining a representative sample of disease vectors (mosquitoes, flies, ticks, etc.) is essential for researchers to draw meaningful conclusions about the entire vector population in a target study area and during a specific study period. To achieve this, a carefully chosen surveillance design is required to ensure…
Gianluca Boo, Edith Darin, Dana R. Thomson, Andrew J. Tatem
Traditional sample designs for household surveys are contingent upon the availability of a representative primary sampling frame. This is defined using enumeration units and population counts retrieved from decennial national censuses that can become rapidly inaccurate in highly dynamic demographic settings. To tackle…
Nao Takashina, Buntarou Kusumoto, Maria Beger, Suren Rathnayake + 1 more
The abundance of species is a fundamental consideration in ecology and conservation biology. Although broad models have been proposed to estimate the population abundance using existing data, available data is often limited. With no information available, a population estimation will rely on time consuming field…
Raphaël Jauslin, Yves Tillé
Geographical data are generally autocorrelated. In this case, it is preferable to select spread units. In this paper, we propose a new method for selecting well-spread samples from a finite spatial population with equal or unequal inclusion probabilities. The proposed method is based on the definition of a spatial…
Jishan Liu, Jarno Vanhatalo
In geostatistics, the design for data collection is central for accurate prediction and parameter inference. One important class of geostatistical models is log-Gaussian Cox process (LGCP) which is used extensively, for example, in ecology. However, there are no formal analyses on optimal designs for LGCP models. In…
Richard McGarvey, Paul Burch, Janet M. Matthews
Monitoring the density of natural populations is crucial for ecosystem management decision making and natural resource management. The most widely used method to measure the population density of animal and plant species in natural habitats is to count organisms in sample plots. Yet evaluation of survey performance by…
Michael G. Chipeta, Dianne J. Terlouw, Kamija S. Phiri, Peter J. Diggle
'Peter J. Diggle'] The problem of choosing spatial sampling designs for investigating unobserved spatial phenomenon S arises in many contexts, for example in identifying households to select for a prevalence survey to study disease burden and heterogeneity in a study region D. We studied randomised inhibitory spatial…
Roberto Benedetti, Federica Piersimoni
Sampling from very large spatial populations is challenging. The solutions suggested in recent literature on this subject often require that the randomly selected units are well distributed across the study region by using complex algorithms that have the feature, essential in a design–based framework, to respect the…
Andrew Jones, Diana Cai, Didong Li, Barbara E. Engelhardt
Spatially-resolved genomic technologies have shown promise for studying the relationship between the structural arrangement of cells and their functional behavior. While numerous sequencing and imaging platforms exist for performing spatial transcriptomics and spatial proteomics profiling, these experiments remain…
Jisu Moon, Inkyung Jung
Background In public health and epidemiology, spatial scan statistics can be used to identify spatial cluster patterns of health-related outcomes from population-based health survey data. Although it is appropriate to consider the complex sample design and sampling weight when analyzing complex sample survey data, the…
Emmanuel Ren, François-Xavier Coudert
Molecular adsorption in nanoporous materials has many large-scale industrial applications ranging from separation to storage. To design the best materials, computational simulations are key in guiding the experimentation and engineering processes. Because nanoporous materials exist in a plethora of forms, we need to…
Xinwei Deng, Lulu Kang, C. Devon Lin
Space-filling designs are crucial for efficient computer experiments, enabling accurate surrogate modeling and uncertainty quantification in many scientific and engineering applications, such as digital twin systems and cyber-physical systems. In this work, we will provide a comprehensive review on key design…
Samuel Manda, Ndamonaonghenda Haushona, Robert Bergquist
Spatial analysis has become an increasingly used analytic approach to describe and analyze spatial characteristics of disease burden, but the depth and coverage of its usage for health surveys data in Sub-Saharan Africa are not well known. The objective of this scoping review was to conduct an evaluation of studies…
Authors not listed
Experimental design plays an important role in efficiently acquiring informative data for system characterization and deriving robust conclusions under resource limitations. Recent advancements in high-throughput experimentation coupled with machine learning have notably improved experimental procedures. While Bayesian…
Nan Jia, Arthur Daignault Bouchard, Tianyang Deng, Leon Torres de Oliveira + 2 more
In this paper, we present a generalizable method for the fabrication of disposable spectrofluidic devices for solution characterization by attenuated total reflectance (ATR) Fourier transform infrared (FTIR) spectroscopy. A major design feature is the integration of an ATR element into the device rather than the…
Qi Zhang, Chang Liu, Stephen Wu, Ryo Yoshida
In the last few years, de novo molecular design using machine learning has made great technical progress but its practical deployment has not been as successful. This is mostly owing to the cost and technical difficulty of synthesizing such computationally designed molecules. To overcome such barriers, various methods…
Authors not listed
A thorough understanding of drug pharmacokinetics and target interaction within complex biological environments is critical for successful drug discovery. Quantitative matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI; qMSI) presents a promising avenue for such investigations. While…