Results 61 to 70 of about 4,029,563 (257)

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa, Kyomi Kanaya, Kiyomi Aizawa, Masanori Onoki, Hirofumi Ozeki, Kazuko Suzuki, Ai Hayashi, Tomohiko Asamura   +7 more
wiley   +1 more source

A NOVEL ACOUSTIC-ASSISTED CHIP-OFF FRAMEWORK FOR DATA EXTRACTION FROM DAMAGED HARD DISK DRIVES

Scientific Journal of Astana IT University
This article discusses best practices for extracting data from damaged mobile phones and hard drives while maintaining the integrity of the storage hardware.
Leila Rzayeva, Aigerim Alibek, Perizat Tazhibayeva , Ali Myrzatay, Murat Zhakenov   +4 more
doaj   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Robust Spectrum Sensing and Signal Classification: Enhanced Out-of-Distribution Detection Incorporating a Voting Mechanism

IEEE Access
This paper introduces an innovative methodology for spectrum sensing and signal classification, leveraging generative artificial intelligence and incorporating out-of-distribution (OOD) detection mechanisms.
Yu Zhou, Il-Min Kim, Francois Chan, Huai-Jing Du, Fred Dilkes   +4 more
doaj   +1 more source

Enhanced polyphonic music genre classification using high level features

, 2009
The task of classifying the genre of polyphonic music signals is traditionally done using only low level features of the signal. In this paper high level features have been applied to improve the task of music genre classification. The use of statistical
Arabi, Arash, Lu, Guojun, null Guojun Lu, Arash Foroughmand Arabi   +3 more
core   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Emitter Signal Waveform Classification Based on Autocorrelation and Time-Frequency Analysis

, 2019
Emitter signal waveform recognition and classification are necessary survival techniques in electronic warfare systems. The emitters use various techniques for power management and complex intra-pulse modulations, which can create what looks like a noisy
Guangming Huang, Zhi Huang, Zhiyuan Ma, Anni Lin   +3 more
core   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

FEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Identification Of Electrode Enchepalo Graph Signal To Move The Cursor Using Back Propagation Method [PDF]

, 2012
In this paper the researchers describe the application of back propagation neural networks as classification and sampling technique (TS) for feature extraction of waveform signals Electro Enchepalo Graph (EEG).
Mauridhi Hery , Purnomo, Moch, Hariadi, Hindarto, -   +2 more
core   +1 more source

Deep Learning Approaches for EEG-Motor Imagery-Based BCIs: Current Models, Generalization Challenges, and Emerging Trends

IEEE Access
This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) development.
Aaqib Raza, Mohd Zuki Yusoff
doaj   +1 more source