Results 71 to 80 of about 8,374,235 (328)

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation [PDF]

, 2011
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been shown to perform better than inductive learners.
Iqbal, Ridwan Al
core   +1 more source

Undergraduate Students' Perception of Hybrid Learning: Voices from English Language Education Students in Pandemic Era

Journal of English Language Teaching and Linguistics, 2022
The policy in learning has been changed by  the government since the Covid 19 cases decreased significantly in Indonesia. Therefore, the implementation of learning in this current era, especially in university level, is conducted limitedly in face to ...
Setia Erliza, Puteri Anugrah Septianingsih   +1 more
semanticscholar   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer

, 2019
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Abbas, Dosti K., Rashid, Tarik A., Turel, Yalin K.   +2 more
core   +1 more source

Hybrid Learning Pedagogy for Strengthening Madrasah Teachers’ Digital Literacy in Achieving SDG 4 (Quality Education)

INSANIA: Jurnal Pemikiran Alternatif Kependidikan
The Society 5.0 agenda has accelerated the demand for digitally competent teachers, including in Indonesian madrasahs where professional development must also safeguard Islamic educational values.
Hilyah Ashoumi, Nur Ahid, Diani Fatmawati   +2 more
doaj   +1 more source

Peningkatan Kemampuan Komunikasi Matematis Siswa Menggunakan Model Pembelajaran Hybrid Learning

Jurnal Cendekia : Jurnal Pendidikan Matematika, 2022
Kemampuan komunikasi merupakan potensi yang sangat penting untuk disanggupi oleh siswa, sama hal nya dengan pembelajaran matematika. Hybrid Learning adalah model pembelajaran yang menggabungkan komunikasi pembelajaran dengan tatap muka (face to face) dan
W. Indriani, Laili Habibah Pasaribu
semanticscholar   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Learning emotions in virtual environments [PDF]

, 2002
A modular hybrid neural network architecture, called SHAME, for emotion learning is introduced. The system learns from annotated data how the emotional state is generated and changes due to internal and external stimuli.
Nijholt, Antinus, op den Akker, Hendrikus J.A., Poel, Mannes, Trappl, R., van Kesteren, A.-J., van Kesteren, A.J.   +5 more
core   +2 more sources

Hybrid learning in post-pandemic higher education systems: an analysis using SEM and DNN

Cogent Education
The COVID-19 pandemic significantly impacted higher education systems, leading many institutions to adopt hybrid learning models. This research investigates the relevance of hybrid learning methods in the post-pandemic education context using structural ...
Alvin Muhammad ‘Ainul Yaqin, Ahmad Kamil Muqoffi, Sigit Rahmat Rizalmi, Faishal Arham Pratikno, Remba Yanuar Efranto   +4 more
doaj   +1 more source