Results 51 to 60 of about 4,734,756 (288)

Feasibility and Preliminary Efficacy of Integrative Neuromuscular Training for Childhood Cancer Survivors: A Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian, Robert U. Newton, Dennis R. Taaffe, Nicholas G. Gottardo, Santosh Valvi, Carolyn J. Peddle‐McIntyre, Jodie Cochrane Wilkie, Daniel A. Galvão   +7 more
wiley   +1 more source

Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method [PDF]

E3S Web of Conferences
Future predictions of precipitation are highly important for effective water resources management. The Global circulation models (GCMs) are commonly used to make such predictions.
Abdullahi Jazuli, Tahsin Ala, Yesilnacar Mehmet Irfan, Karabulut Abdullah İzzeddin, Daramola Oluwatoyin   +4 more
doaj   +1 more source

Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review

Water Science and Technology, 2023
Wastewater treatment plants (WWTPs) are complex systems that must maintain high levels of performance to achieve adequate effluent quality to protect the environment and public health.
Marina Salim Dantas, Cristiano Christofaro, Sílvia Corrêa Oliveira   +2 more
doaj   +1 more source

The Role of Invasive Procedures in the Treatment of Complicated Gastrointestinal Graft‐Versus‐Host Disease in Pediatric Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Gastrointestinal graft‐versus‐host disease (GI GVHD) following hematopoietic stem cell transplant is typically managed with medical therapy, but surgery and angioembolization may be warranted in selected cases with life‐threatening complications.
Gaia Brunetti, Giorgio Persano, Chiara Grimaldi, Pier Luigi Di Paolo, Carmen Malaspina, Francesco Quagliarella, Valerio Balassone, Anna Chiara Iolanda Contini, Gian Luigi Natali, Rita Alaggio, Ivan Pietro Aloi, Tamara Caldaro, Alessandro Crocoli   +12 more
wiley   +1 more source

Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm

, 2018
In recent days, Artificial Neural Network (ANN) can be applied to a vast majority of fields including business, medicine, engineering, etc. The most popular areas where ANN is employed nowadays are pattern and sequence recognition, novelty detection ...
Arif, Rezoana Bente, Ashrafi, Zahidun, Khan, Mohammad Mahmudur Rahman, Siddique, Md. Abu Bakr   +3 more
core   +1 more source

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

Artificial Neural Network (ANN) based Proportional Integral Derivative (PID) for Arm Rehabilitation Device

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
The current work was developed under the title of Artificial Neural Network (ANN) Proportional Integral Derivative (PID) for the arm rehabilitation device and included building and designing the simulation model and simulation results for the arm ...
salam waley shneen, Rajaa khalaf Gaber, Rasha Saad Salih, Suaad Makki Jiaad   +3 more
doaj   +1 more source

توسعه شبکه عصبی مصنوعی و الگوریتم ازدحام ذرات برای پیش‌بینی جریان ورودی به سدها تحت تأثیر سناریوهای اقلیمی [PDF]

مدیریت آب و آبیاری
تغییر اقلیم با ایجاد تغییر در میزان دما و بارش موجب تغییر در آبدهی رودخانه‏‏ها می‌شود. از این‌رو، شبیه‏‏سازی جریان رودخانه به‌عنوان پیش‏‏نیاز برنامه‌ریزی و مدیریت منابع و مصارف آب ‌اهمیت فراوان دارد.
مهرنوش هدایتی زاده, سعید جمالی, هومن حاجی کندی, سمیه یوسفی   +3 more
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

Sensitivity Analysis Based on Physical Properties to Permeability Coefficient of Cohesive Soil Using Artificial Neural Network

JGEET: Journal of Geoscience, Engineering, Environment and Technology
Permeability is the ability of a soil to allow liquids to pass through. Of course the soil has a physical characteristic that can be known by laboratory testing.
Ferry Fatnanta, Imam Suprayogi, Soewignjo Agus Nugroho, Syawal Satibi, Riola Saputra   +4 more
doaj   +1 more source