Filtyp
Most part of Iran is arid and semi-arid; thus in most parts of the region, groundwater is the only source of water. This research presents a method based on a spatial multi-criterion evaluation (SMCE) for designing possible sites of underground dams and ranks them according to their suitability. The method was tested for siting underground dams in the Alborz Province, Iran. At first, screening alg
This research was conducted to determine which areas in the Robat Turk watershed in Iran are sensitive to gully erosion, and to define the relationship between gully erosion and geo-environmental factors by two data mining techniques, namely, Random Forest (RF) and k-Nearest Neighbors (KNN). First, 242 gully locations we determined in field surveys and mapped in ArcGIS software. Then, twelve gully
The main aim of this study was to apply and compare two GIS-based data mining models, namely support vector machine (SVM) by four kernel functions (linear-SVM, polynomial-SVM, radial basic function-SVM, and sigmoidal-SVM) and entropy models in landslide susceptibility mapping, in Shangzhou District, China. Initially, 145 landslide locations were mapped using early reports, aerial photographs, and
In recent years, application of ensemble models has been increased tremendously in various types of natural hazard assessment such as landslides and floods. However, application of this kind of robust models in groundwater potential mapping is relatively new. This study applied four data mining algorithms including AdaBoost, Bagging, generalized additive model (GAM), and Naive Bayes (NB) models to
Sustainable water resources management in arid and semi-arid areas needs robust models, which allow accurate and reliable predictive modeling. This issue has motivated the researchers to develop hybrid models that offer solutions on modelling problems and accurate predictions of groundwater potential zonation. For this purpose, this research aims to investigate the capability and robustness of a n
Groundwater resources are facing a high pressure due to drought and overexploitation. The main aim of this research is to apply rotation forest (RTF) with decision trees as base classifiers and an improved ensemble methodology based on evidential belief function and tree-based models (EBFTM) for preparing groundwater potential maps (GPM). The performance of these new models is then compared with t
As demand for fresh groundwater in the worldwide is increasing, delineation of groundwater spring potential zones become an increasingly important tool for implementing a successful groundwater determination, protection, and management programs. Therefore, the objective of current study is to evaluate the capability of three machine learning models such as boosted regression tree (BRT), classifica
Frequent and accurate measurements of inland Water Surface Elevation (WSE) are essential for effective water resource management. However, single-mission satellite altimetry often lacks the temporal resolution needed to capture detailed WSE changes. While multi-mission integration can improve temporal coverage, it is hindered by inter- and intra-mission biases arising from variations in sensor des
Fire has shaped terrestrial ecosystems for hundreds of millions of years. Human activities dramatically shift natural fire regimes, leading to adverse conservation impacts that are projected to increase in severity. Many animals appear ill-equipped to face these drastic changes, and they may be unable to adapt rapidly enough. In contrast, behavioural plasticity could offer a faster solution to ach
UNLABELLED: Children gain increased health and well-being by participating in physical activity. Children with cerebral palsy who are ambulatory (CP-A) are known to be less physically active than children without physical disabilities, making them an important group of children to support in becoming more physically active. Assistive technologies, such as eHealth, may support physical exercise in
Gemensam debattartikel av företrädare för forskning, utbildning och samverkan på Campus Helsingborg om Lunds universitets betydelse för Helsingborgs utveckling. Publicerad i Helsingborgs Dagblad.
BACKGROUND: Digital symptom checkers might help facilitate effective triage in primary healthcare. However, evidence regarding their acceptance among healthcare professionals remains limited. Identifying key factors of adoption is essential for successful integration into clinical practice.This study aims to identify factors most relevant to nurses' acceptance of a newly implemented digital triage
This paper sets out to extend the epistemic semantics presented in Dahl (2023) tomodal and conditional logics. To do so, I extend the notion of belief expansion sys-tems, inspired by the AGM-model of belief change, to include belief revision, anduse the resulting structures as models for both conditional and modal logic. In thefirst case, this applies the well-known approach to conditionals initia
In this paper I explore how we can conceive of communication without recourse to the notion of meaning. The first step is to decouple linguistic understanding from its usual characterization as knowledge of meaning. Instead, I argue that we should think about understanding as a kind of skill or knowledge-how with both a practical and cognitive component. Further, we need to account for the differe
A quantitative evaluation method for nonlinear elastic characteristics of piezoelectric materials in high-power operation using constant current (CC) measurements was established. The admittance curves obtained from conventional constant voltage measurements are unsuitable for curve fitting to determine the nonlinear coefficients, due to the hysteresis and jump phenomena in the admittance curve. T
The ability to precisely control the localization of individual cells or other microscopic biological particles in aqueous suspension inside a microfluidic confinement is essential for the realization of future tools for single-cell studies in basic biology and medicine. We previously demonstrated that thermoacoustic streaming stemming from interactions of an acoustic field with a thermal gradient
