Results 111 to 120 of about 229,699 (289)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

The Effect of the Probing Prompting Learning Model on Elementary Students’ Learning Outcomes in Science and Social Studies

Al-Adzka: Jurnal Ilmiah Pendidikan Guru Madrasah Ibtidaiyah
Students' low learning outcomes in Natural and Social Sciences (IPAS) remain a significant educational issue, as reflected in their limited conceptual understanding and reasoning skills.
Jery Syah Danu Aji, Chairul Amriyah
doaj   +1 more source

Automated Attribution Graph Interpretation via Probe Prompting

Even though we know the precise computations that lead from a large language model (LLM) input to its output this computation remains very hard to interpret. One way to make it easier to understand this process is by creating a sparse computational graph that captures most of the model behavior with smallest number of computational nodes.
Birardi, Giuseppe, Paulo, Gonçalo
openaire   +2 more sources

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

PENERAPAN MODEL PEMBELAJARAN PROBING-PROMPTING BERBASIS ACTIVE LEARNING UNTUK MENINGKATKAN KETERCAPAIAN KOMPETENSI SISWA

Jurnal Inovasi Pendidikan Kimia, 2016
Tujuan penelitian ini adalah untuk mengetahui apakah model pembelajaran probing- prompting berbasis active learning dapat meningkatkan ketercapaian kompetensi siswa pada materi hidrokarbon kelas X di suatu MAN di Kota Magelang tahun ajaran 2013/2014 ...
Helivia Elvandari, Kasmadi Imam Supardi
doaj  

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Penerapan Probing-prompting Learning untuk Meningkatkan Hasil Belajar Siswa di Sekolah Dasar

, 2015
Penelitian ini bertujuan untuk mendeskripsikan peningkatan aktivitas guru selama menerapan Probing-Prompting Learning, mendeskripsikan peningkatan aktivitas siswa selama menerapan Probing-Prompting Learning, dan mendeskripsikan hasil belajar yang dicapai
HENDRAWAN, T. (TEGUH)
core  

Pengaruh Model Pembelajaran Probing Prompting terhadap Kemampuan Koneksi Matematis Siswa Kelas VII di MTsN Kuta Baro [PDF]

, 2017
Kemampuan koneksi matematis merupakan salah satu kemampuan yang sangat penting, namun berdasarkan penelitian sebelumnya menyatakan bahwa kemampuan koneksi masih rendah sehingga harus diupayakan suatu pembelajaran yang dapat meningkatkan kemampuan ...
Mira Kamisna, 261324675
core  

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source