Results 101 to 110 of about 249,689 (311)
The objective of this work was to search for an optimal wavelength selection for near infrared (NIR) spectroscopy for quality measurement of Nam-Dokmai mangoes. In this study, NIR spectroscopy has been applied to grading management systems for commercial
Kanvisit Maraphum +4 more
doaj
Simultaneous determination of emtricitabine and tenofovir disoproxil fumarate in pharmaceutical preparations using spectrophotometric, chemometric and chromatographic methods [PDF]
Simple, accurate and sensitive spectrophotometric, chemometric and chromatographic methods were used for the simultaneous determination of emtricitabine (ETC) and tenofovir disoproxil fumarate (TDF) in tablets.
Dinçel Aysun +2 more
doaj +1 more source
USP4 stabilizes CHAF1B by limiting K48‐linked ubiquitination. Stabilized CHAF1B supports UHRF1‐associated K63‐linked SETDB1 ubiquitination and cytoplasmic redistribution, whereas CHAF1B loss favors VHL‐dependent K11‐associated degradative ubiquitination and proteasomal loss of SETDB1.
Saiyan Bian +9 more
wiley +1 more source
Pengukuran Kesuksesan Sistem Informasi Manajemen Frekuensi (SIMF) Dengan Model DeLone dan McLean
Penelitian ini bertujuan untuk mengevaluasi apakah sistem informasi manajemen frekuensi (SIMF) yang dikembangkan di lingkungan Direktorat Jenderal Sumber Daya dan Perangkat Pos dan Informatika dapat dikatakan berhasil atau sukses, dan mempunyai dampak ...
Iman Sanjaya +1 more
doaj +1 more source
Beamline Improvement for the LIGA process and novel white x-ray beam application
2
임근배, Jong Hyun Kim, Suk Sang Chang
core
PLS-DA score plot of seminal plasma from high (HF) and low fertility (LF) bulls.
The plots indicate that a separation could be observed between HF and LF bulls. Supervised PLS-DA was obtained with 2 components. The explained variances are shown in parentheses.
Arlindo Alencar Moura (5081870) +6 more
core +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Ni‐rich cathodes in sulfide‐based ASSBs undergo intertwined (electro)chemical and mechanical degradation. Here, a new diagnostic framework is presented to decouple each contribution by partitioning capacity fading into charge and discharge fading.
Jangwhan Seok +12 more
wiley +1 more source
Pengaruh faktor-faktor resiliensi terhadap kesiapan transformasi digital di UKM
SMEs face the problem of readiness and resilience in implementing digital transformation as part of the industrial revolution. Therefore, a process is needed to identify resilience factors that can increase the readiness of SMEs toward Industry 4.0.
Faizatul Amalia +4 more
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

