Results 41 to 50 of about 963,334 (236)

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

M-learning in Higher Education in Bahrain: the educators’ view [PDF]

open access: yes, 2014
Universities in the oil-rich Gulf Cooperation Countries (GCC) have shown particular interest in m-learning which currently is treated as fashion, but at the same time is considered by corporations and educational institutions to be very promising.
Giousmpasoglou, Charalampos   +1 more
core  

Perancangan Mobile Learning Berbasis J2ME Untuk Penyediaan Bahan Ajar Perkuliahan Program Studi Pendidikan Ekonomi [PDF]

open access: yes, 2012
Masalah yang dikaji dari hasil kajian ini adalah (1) bagaimana perancangan aplikasi m-learning berbasis J2ME untuk penyediaan bahan ajar perkuliahan program studi pendidikan ekonomi. Secara umum penelitian ini bertujuan untuk mengkaji langkah perancangan
Anggrayni, Y. (Yenni)
core   +2 more sources

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

open access: yesMolecular 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   +10 more
wiley   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

open access: yesMolecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee   +8 more
wiley   +1 more source

Project Management Methodology for the Development of M-Learning Web Based Applications [PDF]

open access: yes, 2010
M-learning web based applications are a particular case of web applications designed to be operated from mobile devices. Also, their purpose is to implement learning aspects.
Adrian VISOIU
core  

Designing mobile learning [PDF]

open access: yes, 2006
Interest in delivering training, especially via innovative methods (m-learning), has received increasing attention over the past decade [12]. While many believe that there is a global market for m-learning programmes (especially using English), very few ...
Murphy, A., Murphy, A.
core   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

Project Management Methodology for the Development of M-Learning Web Based Applications [PDF]

open access: yes
M-learning web based applications are a particular case of web applications designed to be operated from mobile devices. Also, their purpose is to implement learning aspects.
Adrian VISOIU
core  

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

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