Investigating the influencing factors of groundwater drought offers critical insights for the sustainable management of groundwater-dependent ecosystems (GDEs). The Upper Zambezi Catchment hosts a large-scale alluvial aquifer system, which is vulnerable to the effects of climate change to sustain GDEs. The study aims to: (a) characterize the spatial-temporal distribution of groundwater drought …
Dispersal limitations vary among species within the same region. For some species, geographic distance is the primary constraint, while for others, environmental factors such as climate and vegetation patterns play a larger role. These landscape-driven effects are shaped by species-specific ecological traits. Despite being conceptually intuitive, landscape genetics hypotheses—such as Isolatio…
Background The classic growth rate hypothesis (GRH) suggests a direct relationship between rapid growth rates, higher phosphorus (P) concentrations, and lower nitrogen (N):P ratios. However, the applicability of GRH in forest ecosystems in the context of forest succession remains uncertain. Methods This study investigated nutrient acquisition (via soil uptake and nutrient resorption), leaf…
Graph Neural Networks (GNNs) have shown excellent performance as a powerful tool on link prediction task. Recent studies have shown that link prediction based on GNNs is vulnerable to backdoor attacks. However, existing backdoor attack methods on link prediction task require modification of the link state, which results in poor stealthiness of the backdoor. To address this issue, a clean-label …
Repairing software defects is crucial to improving the security and robustness of software. Traditional methods repair software defects by using the “stop-repair-restart” approach. Unfortunately, in some scenarios, such as cloud environments, restarting critical software is expensive. Dynamic methods enable the defect repair while the software is running, which can avoid software restart. H…
Highlighting or marking potentially relevant information in colors while reading (Dunlosky et al., 2013) is among students’ most common studying strategies (ChanLin, 2013; Miyatsu et al., 2018). Many studies have examined the conditions affecting highlighting’s contribution to reading performance (see Ponce et al., 2022, for a recent meta-analysis). However, no studies have tackled cross-cu…
Positive teacher feedback plays a crucial role in student learning. While previous studies on positive teacher feedback have primarily focused on its relationship with student achievement, much less attention has been given to how such feedback associates with student self-efficacy, particularly reading self-efficacy—a key predictor of both reading and overall academic success—among adolesc…
This paper presents the design and implementation of an automatic music transcription algorithm for piano audio, utilizing an optimized convolutional neural network with optimal parameters. In this study, we adopt the cepstral coefficient derived from cochlear filters, a method commonly used in speech signal processing, for extracting features from transformed musical audio. Conventional convol…
This study presents a local meshless method based on radial basis functions for the numerical solution of the nonlinear time-fractional Burgers’ equation (TFBE) involving the fractional derivatives of Caputo (CFD) and Caputo–Fabrizio (CFFD). Time is discretized using the implicit finite difference scheme with , while radial basis functions (RBFs), which do not require a mesh to approximat…
In this paper, we study a class of multi-dimensional reflected backward stochastic partial differential equations (RBSPDEs) driven by the Teugels martingales related to a Lévy process. The solutions to these equations are constrained to take values within a bounded convex domain in . By employing the penalization method, we establish the existence and uniqueness of solutions. Finally, two il…