An overview of store and forward applications commonly used in physical and occupational therapy practice is reviewed with respect to regulation, privacy, security, and clinical applications. A privacy and security checklist provides a clear reference of pertinent regulatory issues regarding these software applications. A case study format is used to highlight clinical applications of store and forward software features. Important considerations of successful implementation of store and forward applications are also identified and discussed.
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http://dx.doi.org/10.5195/ijt.2014.6161 | DOI Listing |
Sensors (Basel)
December 2024
School of Instrument Science & Engineering, Southeast University, Nanjing 210096, China.
To solve the problem of slow convergence seen in the traditional fine alignment algorithm based on linear Kalman filtering, a forward-forward backtracking fine alignment algorithm for SINS is proposed after reanalyzing the fine alignment model in this paper. First, the forward-forward backtracking fine alignment model in initial navigation frame was derived. The displacement vector of the carrier in the initial navigation frame solved by GNSS positioning was utilized as the observation of the fine alignment model.
View Article and Find Full Text PDFBioinformatics
January 2025
Justus Liebig University Giessen, Hesse, 35392, Germany.
Phys Rev E
November 2024
Physics Department, University of Trento, via Sommarive, 14 I-38123 Trento, Italy.
Network systems can exhibit memory effects in which the interactions between different pairs of nodes adapt in time, leading to the emergence of preferred connections, patterns, and subnetworks. To a first approximation, this memory can be modeled through a "plastic" Hebbian or homophily mechanism, in which edges get reinforced proportionally to the amount of information flowing through them. However, recent studies on glia-neuron networks have highlighted how memory can evolve due to more complex dynamics, including multilevel network structures and "metaplastic" effects that modulate reinforcement.
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December 2024
Faculty of Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Smart fish farming faces critical challenges in achieving comprehensive automation, real-time decision-making, and adaptability to diverse environmental conditions and multi-species aquaculture. This study presents a novel Internet of Things (IoT)-driven intelligent decision-making system that dynamically monitors and optimizes water quality parameters to enhance fish survival rates across various regions and species setups. The system integrates advanced sensors connected to an ESP32 microcontroller, continuously monitoring key water parameters such as pH, temperature, and turbidity which are increasingly affected by climate-induced variability.
View Article and Find Full Text PDFSensors (Basel)
November 2024
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.
In the cloud-assisted industrial Internet of Things (IIoT), since the cloud server is not always trusted, the leakage of data privacy becomes a critical problem. Dynamic symmetric searchable encryption (DSSE) allows for the secure retrieval of outsourced data stored on cloud servers while ensuring data privacy. Forward privacy and backward privacy are necessary security requirements for DSSE.
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