Results 81 to 90 of about 31,010 (266)

Towards Client Selection in Satellite Federated Learning

Applied Sciences
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ...
Changhao Wu, Siyang He, Zengshan Yin, Chongbin Guo   +3 more
doaj   +1 more source

Neurolathyrism in Sub‐Saharan Africa—Assessing the Neurotoxic Risks of Lathyrus sativus Amid Drought and Food Security Challenges

Food Safety and Health, EarlyView.
Representation of grass pea consumption in drought‐stricken sub‐Saharan Africa sustains nutrition, but excess β‐ODAP exposure due to multiple reasons triggers neurolathyrism, a progressive neurotoxic disorder. ABSTRACT Neurolathyrism is a progressive motor neuron disease due to the consumption of Lathyrus sativus (grass pea) over long periods.
Biruk Demisse Ayalew, Muhammad Umar, Pakeezah Tabasum, Maria Qadri, Talha Farooq, Eskeatnaf Yosef Getachew, Zemichael Getu Alemayehu, Eden Haile Hagos, Hailemariam Shimelis Gebeyehu, Hanna Tsehay Abebe, Nuradin Abdi Ali, David Chinaecherem Innocent, Temesgen Mamo Sharew   +12 more
wiley   +1 more source

Beam Coverage Comparison of LEO Satellite Systems Based on User Diversification

IEEE Access, 2019
To achieve global network coverage and the need for high-speed communication, the idea of providing Internet access from space has made a strong comeback in recent years.
Shiyi Xia, Quanjiang Jiang, Cheng Zou, Guotong Li   +3 more
doaj   +1 more source

A Local Pre-Rerouting Algorithm to Combat Sun Outage for Inter-Satellite Links in Low Earth Orbit Satellite Networks

Applied Sciences
Satellite networks show the development trend in global coverage, flexible access, and reliable transmission. They are the key to building a wide coverage, massive connection, three-dimensional, all-round, all-weather, space-, air- and ground-integrated ...
Jifeng Jin, Lin Shang, Zijian Yang, Haiwang Wang, Guotong Li   +4 more
doaj   +1 more source

Design Study for a Quasisynchronous CDMA Sensor Data Collection System: An LEO Satellite Uplink Access Technique Based on GPS

International Journal of Distributed Sensor Networks, 2015
With the development of the LEO satellite communication technology, highly dependable wireless communication and sensor data collection using LEO satellites have been getting much attention for emergency, marine research, and forest fire disaster in the ...
Yijun Chen, Sheng Ding, Zhouchen Xie, Zhuangping Qi, Xuwen Liang   +4 more
doaj   +1 more source

Improving genetic diagnosis of hereditary tumor syndromes: From expanded gene panels to functional genomics

International Journal of Cancer, EarlyView.
Abstract Genetic tumor risk syndromes (genturis) contribute substantially to the overall cancer burden and provide opportunities for early detection, prevention, and individualized treatment. Yet, many affected individuals remain undiagnosed due to restrictive testing criteria and challenges in variant interpretation.
Mayra Sauer, Morghan C. Lucas, Vitus Prokosch, Thomas Keßler, Thomas Risch, Andreas Laner, Jan Henkel, Anna Benet‐Pagès, Ariane Hallermayr, Verena Steinke‐Lange, Elke Holinski‐Feder, Barbara Klink   +11 more
wiley   +1 more source

Living at genetic risk: The patient experience of Lynch syndrome

International Journal of Cancer, EarlyView.
Abstract Lynch syndrome is a germline cancer predisposition syndrome caused by a variant in one of four genes. Lynch syndrome places individuals at significantly higher risk for a range of cancers, especially colorectal and endometrial. Depending on which gene is affected, the risk of ovarian, gastric, small bowel, pancreatic, biliary urothelial, brain,
Nicola Reents, Georgina Hoffmann, Kelly Kohut   +2 more
wiley   +1 more source

STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning

Sensors
Anomalies frequently occur during the operation of spacecraft in orbit, and studying anomaly detection methods is crucial to ensure the normal operation of spacecraft. Due to the complexity of spacecraft structures, telemetry data possess characteristics
Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo   +4 more
doaj   +1 more source

A multilevel perspective on MSH6‐associated Lynch syndrome: Integrating molecular, biological, and clinical insights

International Journal of Cancer, EarlyView.
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia, Anne‐Sophie van der Werf‐'t Lam, Madalina Cabuta, Maartje Nielsen, Noah C. Helderman   +4 more
wiley   +1 more source

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average‐Risk Populations, and Future Directions

International Journal of Cancer, EarlyView.
ABSTRACT Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characterized by an accelerated adenoma‐carcinoma sequence, a relatively higher prevalence of flat and subtle CRC precursor lesions, and exceptionally high adenoma miss rates despite intensive colonoscopy surveillance.
Robert Hüneburg, Querijn N. E. van Bokhorst, Evelien Dekker, Jacob Nattermann   +3 more
wiley   +1 more source