Zobrazeno 1 - 10
of 342
pro vyhledávání: '"Vivin P"'
Publikováno v:
Majalah Kedokteran Andalas, Vol 46, Iss 1, Pp 111-119 (2023)
Tujuan: Untuk mengetahui perbedaan kadar sIgA ASI antara kelompok konsumsi dan tidak konsumsi dadih selama hamil. Metode: Penelitian ini menggunakan desain yang digunakan adalah posttest only control group. Penelitian dilakukan pada bulan September 2
Externí odkaz:
https://doaj.org/article/1c16c21706154a3c8569aec2fb3b832e
Publikováno v:
CommIT Journal, Vol 16, Iss 2, Pp 167-174 (2022)
The vast sea conditions and the long coastline make Bengkulu one of the provinces with a high diversity of marine fish. Although it is predicted to have high diversity, data on the diversity of marine fish on the Bengkulu coast is still very limited,
Externí odkaz:
https://doaj.org/article/d10d41d6d0514e88b70718a196696fcf
Autor:
Agustina Merdekawati, Marsudi Triatmodjo, Sandy Nurvianto, Irkham Afnan Trisandi Hasibuan, Vivin Purnamawati, I Gusti Putu Agung
Publikováno v:
Yustisia, Vol 11, Iss 1, Pp 54-72 (2022)
As a country rich in biodiversity, Indonesia has realised the importance of conducting conservation efforts beyond the designated conservation areas, where most of the biodiversity elements are located. In fact, the country has adopted the concept of
Externí odkaz:
https://doaj.org/article/ba8dd6d0f0424b67b7ce993b1802464a
Autor:
Lyu, Dongyu, Holzenkamp, Matthias, Vinod, Vivin, Holtkamp, Yannick Marcel, Maity, Sayan, Salazar, Carlos R., Kleinekathöfer, Ulrich, Zaspel, Peter
Natural light-harvesting antenna complexes efficiently capture solar energy using chlorophyll, i.e., magnesium porphyrin pigments, embedded in a protein matrix. Inspired by this natural configuration, artificial clay-porphyrin antenna structures have
Externí odkaz:
http://arxiv.org/abs/2410.20551
Autor:
Vinod, Vivin, Zaspel, Peter
The development of machine learning (ML) methods has made quantum chemistry (QC) calculations more accessible by reducing the compute cost incurred in conventional QC methods. This has since been translated into the overhead cost of generating traini
Externí odkaz:
http://arxiv.org/abs/2410.11391
Autor:
Vinod, Vivin, Zaspel, Peter
Recent progress in machine learning (ML) has made high-accuracy quantum chemistry (QC) calculations more accessible. Of particular interest are multifidelity machine learning (MFML) methods where training data from differing accuracies or fidelities
Externí odkaz:
http://arxiv.org/abs/2410.11392
Autor:
Vinod, Vivin, Zaspel, Peter
Multifidelity machine learning (MFML) for quantum chemical (QC) properties has seen strong development in the recent years. The method has been shown to reduce the cost of generating training data for high-accuracy low-cost ML models. In such a set-u
Externí odkaz:
http://arxiv.org/abs/2407.17087
Autor:
Vinod, Vivin, Zaspel, Peter
Progress in both Machine Learning (ML) and Quantum Chemistry (QC) methods have resulted in high accuracy ML models for QC properties. Datasets such as MD17 and WS22 have been used to benchmark these models at some level of QC method, or fidelity, whi
Externí odkaz:
http://arxiv.org/abs/2406.14149
Machine learning (ML) provides access to fast and accurate quantum chemistry (QC) calculations for various properties of interest such as excitation energies. It is often the case that high accuracy in prediction using an ML model, demands a large an
Externí odkaz:
http://arxiv.org/abs/2312.05661
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 12, Pp 1267-1278 (2024)
Introduction: The Competency-Based Medical Education (CBME) curriculum was introduced by the National Medical Commission (NMC) of India in 2019, aiming to bridge the gap between theoretical knowledge and practical skills among medical graduates. This
Externí odkaz:
https://doaj.org/article/2086adeffe28475e91d967bcc6cc19cc