Results 51 to 60 of about 70,842 (213)

DAPATKAH MODEL BLENDED LEARNING MEMPENGARUHI KEMANDIRIAN BELAJAR MATEMATIKA SISWA?

open access: yesAksioma: Jurnal Program Studi Pendidikan Matematika, 2018
This study aims to determine the effect of blended learning models to self-regulated learning of mathematics in eight-grade student in West Lampung. This study uses a quasi-experimental design with a population of all eighth-grade students of SMP Negeri ...
Budi Yanto, Heri Retnawati
doaj   +1 more source

Designed Lewis Acid–Base Passivation for High Performance Perovskite Solar Cells

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Silicon's high cost and long energy payback time remain major barriers to the global expansion of solar power. In contrast, metal–halide perovskites offer abundant, solution‐processable absorbers, and have achieved efficiencies of 25%–30%, positioning them as strong competitors to silicon.
Afna Manaf   +4 more
wiley   +1 more source

Kemandirian Belajar Mahasiswa Melalui Blended Learning pada Mata Kuliah Metode Numerik

open access: yesJurnal Elemen, 2018
This study aims to know the improvement of student self-regulated learning (SRL) through blended learning. The method used is a quasi-experimental design with nonequivalent pre-test and post-test control-group.
Putri Fitriasari   +2 more
doaj   +3 more sources

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera   +6 more
wiley   +1 more source

Understanding Self-Regulated Learning: Thoughts from Attending the Self-Regulated Learning Symposium in Shimonoseki

open access: yesStudies in Self-Access Learning Journal, 2014
As a learning advisor who has been working in self-access learning for six years, I consider myself to be familiar with the field of learner autonomy and self-directed learning, drawing on the work of Henri Holec (1981), David Little (1991), Phil Benson (
Katherine Thornton
doaj  

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

open access: yesAdvanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He   +5 more
wiley   +1 more source

Application of Ibuprofen Sodium Dihydrate for Thermochemical Energy Storage

open access: yesAdvanced Functional Materials, EarlyView.
Ibuprofen sodium dihydrate is introduced as a durable organic salt hydrate for low‐temperature thermochemical energy storage, operating within 60°C–110°C with high energy density. At the material level, it delivers ∼99.9% cycling efficiency over 150 cycles without deliquescence, enabled by a dual energy‐storage mechanism coupling dehydration and phase ...
Kavin Chakravarthy Thangaraj   +10 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

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