Ditapis dengan
Evaluating the applicability of the growth rate hypothesis in successional tr…
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…
- Edisi
- 14, Article number: 61
- ISBN/ISSN
- 21921709
- Deskripsi Fisik
- Hal. 1- 11
- Judul Seri
- Ecological Processes
- No. Panggil
- -
Clean-label backdoor attack on link prediction task
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 …
- Edisi
- 8, Article number: 51
- ISBN/ISSN
- 25233246
- Deskripsi Fisik
- Hal. 1 - 11
- Judul Seri
- Cybersecurity
- No. Panggil
- -
A hot-repair method for the running software with zero suspends
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…
- Edisi
- 8, Article number: 52
- ISBN/ISSN
- 25233246
- Deskripsi Fisik
- Hal. 1 - 20
- Judul Seri
- Cybersecurity
- No. Panggil
- -
The highlighting divide: does highlighting strategy help explain internationa…
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…
- Edisi
- 13, Article number: 6
- ISBN/ISSN
- 21960739
- Deskripsi Fisik
- Hal. 1 - 19
- Judul Seri
- Large-scale Assessments in Education
- No. Panggil
- -
Positive teacher feedback and adolescents’ reading self-efficacy: a quasi-e…
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…
- Edisi
- 13, Article number: 17
- ISBN/ISSN
- 21960739
- Deskripsi Fisik
- Hal, 1-22
- Judul Seri
- Large-scale Assessments in Education
- No. Panggil
- -
Design and implementation of piano audio automatic music transcription algori…
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…
- Edisi
- 26 (2025)
- ISBN/ISSN
- 16874722
- Deskripsi Fisik
- 1-14
- Judul Seri
- EURASIP Journal on Audio, Speech, and Music Processing
- No. Panggil
- -
Using the spectral meshless radial basis functions method for solving time fr…
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…
- Edisi
- (2025) 2025:93
- ISBN/ISSN
- 16872770
- Deskripsi Fisik
- Hal. 1-21
- Judul Seri
- Boundary Value Problems
- No. Panggil
- -
Reflected backward stochastic partial differential equations driven by Teugel…
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…
- Edisi
- 2025, Article number: 99
- ISBN/ISSN
- 16872770
- Deskripsi Fisik
- Hal. 1-15
- Judul Seri
- Boundary Value Problems
- No. Panggil
- -
Evaluating AI-generated vs. human-written reading comprehension passages: an …
The increasing capabilities of generative artificial intelligence (AI), exemplified by OpenAI’s transformer-based language model GPT-4 (ChatGPT), have drawn attention to its application in educational contexts. This study evaluates the potential of such models in generating German reading comprehension texts for educational large-scale assessments, within the multilingual context of Luxembour…
- Edisi
- 13, Article number: 20
- ISBN/ISSN
- 21960739
- Deskripsi Fisik
- Hal. 1-29
- Judul Seri
- Large-scale Assessments in Education
- No. Panggil
- -
Fine-scale decomposition of China’s underdeveloped regional CO2 emissions p…
China’s national “Dual Carbon” goals have set clear timelines and imposed more stringent requirements for regional emission reductions. To effectively achieve these goals, developing an equitable carbon allocation framework at a finer, county-level scale is essential. This study develops a county-level carbon quota allocation scheme for peak emissions in Gansu Province—a representative …
- Edisi
- 14, Article number: 58
- ISBN/ISSN
- 21921709
- Deskripsi Fisik
- Hal.1-14
- Judul Seri
- Ecological Processes
- No. Panggil
- -
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