Background: Practical science learning requires contextual learning resources that connect scientific concepts with authentic phenomena and local problems. At the study site, a needs analysis indicated a need for a structured practical guide for renewable-energy learning. Aims: This study developed and evaluated a prac...
Purpose Migration in South Asia is shaped by diverse drivers such as economic needs, conflict, persecution, natural disasters and sociocultural factors. Migrants across typologies are vulnerable to mental health challenges. However, research in this domain remains fragmented. This scoping review aims to synthesize exis...
Mukul Bhowmick, Anushree, Roomi Aziz et al.· International Journal of Mig...· 0 citations
Conceptual understanding is a central goal of integrated natural and social science (IPAS) instruction in primary schools, yet it is hard to achieve when pupils only listen to explanations. This article reviews the effectiveness of discovery learning in improving fifth-grade pupils' understanding of IPAS concepts. A li...
Masyitoh Hasibuan, Arafatul Soraya, Mhd Ali Wardana et al.· Jejak digital Jurnal Ilmiah...· 0 citations
The study explored the Impact of Artificial Intelligence on Communication in College of Education in Gombe State, Nigeria. Specifically, the study was set to: assess the impact of artificial intelligence tools on communication in colleges of education in Gombe State, Nigeria. This objective was framed into a research q...
Fati Isa Isa· 0 citations
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Applied Identity Physics: AIM Session Instrumentation — A Frontier Model Operating on Formal Fusion Logic. Measured Throughput, Search-Space Reduction, and the Error-Detection Record of a Single Working Session Architect: HIGHTISTIC (Russell Vernon Trent III) Foundation: SNSFT Foundation (EIN 42-2038440) · Kenai, Alask...
Russell Trent· Zenodo (CERN European Organi...· 0 citations
We estimate the integral curve of an unknown vector field from noisy tangent vector field on a known compact Riemannian manifold. We consider two sampling settings: independent observations at random locations that have already been collected, and a fixed response budget that allows subsequent locations to be chosen us...
Xiaotian Chang, Qirui Hu, Cyrus Mostajeran· 0 citations
Expert background knowledge is often available in practical applications of causal discovery. Such constraints on the true causal graph can help causal discovery in terms of identifiability of causal effects and accuracy of the learned structure, but also in reducing the space of candidate causal graphs. As causal disc...
M\'aty\'as Schubert, Theofanis Aslanidis, Tom Claassen et al.· 0 citations
In many domains, practitioners seek models that produce accurate forecasts while faithfully capturing latent system dynamics. Existing approaches typically sacrifice one of these goals: deep state space models often assume Gaussian latent transitions, limiting fit and forecasting, while diffusion models are highly expr...
Recursive training of generative models on their own outputs can lead to model collapse, a compounding drift away from the true data distribution. Existing theoretical works bound finite-round error accumulation in the context of diffusion models, but two questions remain open:~what distribution does the recursion conv...
Na\"il B. Khelifa, Richard E. Turner, Ramji Venkataramanan· 0 citations
Tissue graph counterfactuals ask what a cell would express if its spatial neighborhood were altered, a question central to predicting cell behavior in tissues. Existing methods, however, present only specific instances of such queries. In this work, we first formalize tissue graph counterfactuals as a class of spatial...
Abdul Moeed, Stefan Schrod, Martin Rohbeck et al.· 0 citations
Inverse optimization (IO) seeks to infer the parameters of a decision-maker's objective from observed context--action data. We study noiseless IO, where demonstrations are generated by a ground-truth objective. We provide a high-probability ${O}(\frac{d}{T})$ generalization bound for the induced action set, where $d$ i...
Pouria Fatemi, Hoomaan Maskan, Suvrit Sra et al.· 0 citations
Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at cellular resolution but is inherently affected by sparsity caused by dropout events, where expressed genes are recorded as zeros due to technical limitations. These dropout events distort gene expression distributions and compromise downstream...
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
