Results 61 to 70 of about 23,846 (200)
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch +4 more
wiley +1 more source
Effects of parachute science on local research capacity 降落伞科学对当地研究能力的影响
Abstract Strengthening research capacity is essential to address the global biodiversity crisis. Yet, parachute science often undermines this goal, and its prevalence, costs, and benefits are unclear. We analyzed 13,502 publications on primate research that we extracted from Scopus (1960–2022) to evaluate the effects of parachute science on local ...
Li Yang +11 more
wiley +1 more source
Sparse Decomposition Technique for Segmentation and Compression of Compound Images
Compression of compound records and images can be more cumbersome than the original information since they can be a mix of text, picture and graphics. The principle requirement of the compound record or images is the nature of the compressed data.
Manju V.N., Lenin Fred A.
doaj +1 more source
Data compression is the process of reducing the size of a file to effectively reduce storage space and communication cost. The evolvement in technology and digital age has led to an unparalleled usage of digital files in this current decade. The usage of
N. A. Azeez, A. A. Lasisi
doaj +1 more source
Compassion in Practice: A Realist Review of Mentorship as a Catalyst for Healthy Workplaces
ABSTRACT Aim To examine the contexts and mechanisms that enable compassionate mentorship in healthcare, in order to generate evidence‐informed insights for fostering healthier, more sustainable work environments. Design A rapid realist review. Data Sources Systematic searches were conducted in Ovid MEDLINE (1946–December 2024), Embase (1974–December ...
Marissa Bird +5 more
wiley +1 more source
Energy-efficient algorithms for lossless data compression schemes in wireless sensor networks
Wireless sensor networks (WSNs) are reliant on limited power resources, primarily provided by small batteries within sensor nodes. Inefficient energy management within these networks can lead to premature battery depletion during data transmission ...
Lucia K. Ketshabetswe +3 more
doaj +1 more source
Design of Modified Adaptive Huffman Data Compression Algorithm for Wireless Sensor Network [PDF]
Problem statement: Efficient utilization of energy has been a core area of research in wireless sensor networks. Sensor nodes deployed in a network are battery operated. As batteries cannot be recharged frequently in the field setting, energy optimization becomes paramount in prolonging the battery-life and, consequently, the network lifetime.
C. Tharini, P. Vanaja Ranjan
openaire +1 more source
Abstract Background This scoping review explores the impact of coaching on the professional identity formation (PIF) of postgraduate medical trainees. Although coaching is well‐documented in undergraduate medical education, its role in postgraduate medical education (PME) remains underexplored.
Roshanee Seth +3 more
wiley +1 more source
Acknowledging the potential role of animal self-medication [PDF]
This report was presented at the UK Organic Research 2002 Conference. Much research on animal health and welfare assumes that animals passively endure the pathogens, diet, and environmental conditions that come their way.
Engel, Cindy Reece
core
Trimming the Tree: Tailoring Adaptive Huffman Coding to Wireless Sensor Networks
Nodes in wireless sensor networks are generally designed to operate on a limited energy budget, and must consciously use the available charge to allow for long lifetimes. As the radio transceiver is the predominant power consumer on current node platforms, the minimization of its activity periods and efficient use of the radio channel are major targets
Reinhardt, A. +5 more
openaire +2 more sources

