Results 71 to 80 of about 1,720,153 (304)

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

An Adaptive Filtering Approach Based on the Dynamic Variance Model for Reducing MEMS Gyroscope Random Error

Sensors, 2018
To improve the dynamic random error compensation accuracy of the Micro Electro Mechanical System (MEMS) gyroscope at different angular rates, an adaptive filtering approach based on the dynamic variance model was proposed.
Yanshun Zhang, Chuang Peng, Dong Mou, Ming Li, Wei Quan   +4 more
doaj   +1 more source

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser, Claire Laurie, Teresa Schmidt, Irene von Luettichau, Peter Bekkering, Sabine Kesting   +5 more
wiley   +1 more source

PID controller‐based adaptive gradient optimizer for deep neural networks

IET Control Theory & Applications, 2023
Due to improper selection of gradient update direction or learning rate, SGD optimization algorithms for deep learning suffer from oscillation and slow convergence.
Mingjun Dai, Zelong Zhang, Xiong Lai, Xiaohui Lin, Hui Wang   +4 more
doaj   +1 more source

A Comparative Study of Cerebral Oxygenation During Exercise in Hemodialysis and Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou, Konstantina Dipla, Danai Faitatzidou, Fotini Iatridi, Areti Georgiou, Artemios Karagiannidis, Erasmia Sampani, Chrysostomos Dimitriadis, Aggelos Koutlas, Andreas Zafeiridis, Pantelis Sarafidis   +10 more
wiley   +1 more source

Adaptive Downlink Scheduling Algorithm Based on Buffer Data for LTE-A Relay System [PDF]

Jisuanji gongcheng, 2016
This paper proposes an adaptive downlink scheduling algorithm for LTE-Advanced(LTE-A) relay downlink based on the buffer data,aiming at the problem that existing scheduling algorithms just simply perform priority ranking and cannot adaptively adjust ...
SUN Fashuai,JIN Jie,SU Hansong,LIU Gaohua
doaj   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

An Adaptive Data Rate Algorithm for Power-Constrained End Devices in Long Range Networks

Mathematics
LoRa (long range) is a communication technology that employs chirp spread spectrum modulation. Among various low-power wide area network (LPWAN) technologies, LoRa offers unique advantages, including low power consumption, long transmission distance ...
Honggang Wang, Baorui Zhao, Xiaolei Liu, Ruoyu Pan, Shengli Pang, Jiwei Song   +5 more
doaj   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Adaptive False Discovery Rate Control for Heterogeneous Data [PDF]

Statistica Sinica, 2018
Efforts to develop more efficient multiple hypothesis testing procedures for false discovery rate (FDR) control have focused on incorporating an estimate of the proportion of true null hypotheses (such procedures are called adaptive) or exploiting heterogeneity across tests via some optimal weighting scheme. This paper combines these approaches using a
openaire   +2 more sources