Results 181 to 190 of about 213,663 (307)
This work demonstrates a scalable, low‐temperature synthesis strategy that combines a thioacetamide (TA)‐based dual sulfur source with CdS chlorination, enabling the formation of high‐quality Sb2S3 with a reduced open‐circuit voltage loss, resulting in improved device efficiency.
Vijay C. Karade +16 more
wiley +1 more source
Digital Learning in Motion: Exploring Mobile Device Use in Mexican Residents. [PDF]
Gutiérrez Hernández A +3 more
europepmc +1 more source
Porous Ecoflex/PTFE composite with encapsulated liquid generates electricity through ionic migration induced by dynamic pore deformation, creating non‐uniform electric fields that drive charge induction on electrodes. This mechanism enhances charge transfer and ensures stable contact electrification performance, achieving 12 V and 4 nC with consistent ...
Xiangkun Bo +5 more
wiley +1 more source
Content-aware power saving multimedia adaptation for mobile learning
Due to the tremendous enhancements in the capabilities of mobile devices in recent years and accessibility to higher bandwidth mobile internet, the use of online multimedia learning resources on mobile devices is increasingly becoming popular ...
Jalal, Syed Asim +3 more
core
Psychological effects of hybrid SCMC with mobile device management: distraction, classroom atmosphere, and foreign language anxiety. [PDF]
Liu X, Zhu J.
europepmc +1 more source
Exploring park visitation trends during the Covid-19 pandemic in Hungary by using mobile device location data. [PDF]
Csomós G, Borza EM, Farkas JZ.
europepmc +1 more source
A quantum dot–tellurium thin‐film photodetector autonomously discriminates visible and infrared wavelengths through polarity‐reversible photoresponses. Engineered carrier separation and gain modulation enable filter‐free multispectral sensing within a single‐device architecture.
Yong Min Lee +7 more
wiley +1 more source
Recurrent Neural Networks for Predicting Mobile Device State
Nowadays, mobile devices are ubiquitous in modern life as they allow users to perform virtually any task, from checking e-mails to playing video games. However, many of these operations are conditioned by the state of mobile devices.
Tommasel, Antonela +3 more
core
Fungal recognition in vaginal discharge using deep learning analysis of mobile device-acquired microscopic images. [PDF]
Pongpom M +7 more
europepmc +1 more source
High-accuracy model recognition method of mobile device based on weighted feature similarity. [PDF]
Li R, Wang X, Luo X.
europepmc +1 more source

