Results 31 to 40 of about 3,706,151 (258)

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

A Performance-Enhanced Cartesian Grid Generation Method: More Robust, Efficient, and Memory-Efficient

Applied Sciences
To address the limitations of poor robustness, low efficiency, and memory waste in traditional Cartesian grid generation, this paper proposes targeted improvements focusing on three key aspects: the surface mesh data structure, the Cartesian grid data ...
Shuang Meng, Lin Bi, Canyan Luo, Jianqiang Chen, Xianxu Yuan, Zhigong Tang   +5 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Designing a unified data structure for solid-electrolyte research projects

Science and Technology of Advanced Materials: Methods
We designed a data structure to promote the reuse of experimental data collected from multiple research institutions in a research project on solid electrolytes for next-generation batteries.
Yasuhiro Fujiwara, Kota Suzuki, Satoshi Hori, Yoshiyuki Inaguma, Akitoshi Hayashi, Masaki Azuma, Yasutoshi Iriyama, Hirotoshi Yamada, Tetsuhiro Katsumata, Kazunori Takada, Ryoji Kanno, Masahiko Demura   +11 more
doaj   +1 more source

Cognitive Functioning in Vorinostat‐Treated Pediatric and Young Adult Patients Over the First 180 Days After Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba, Michelle Rozwadowski, Thomas Braun, April Rahrig, Edward Peres, Kirsten M. Williams, Vanessa Fabrizio, Julie‐An Talano, Carrie L. Kitko, Nicolas Parnell, Pavan Reddy, Sung Won Choi   +11 more
wiley   +1 more source

Novel Genetic Risk Factor Identified for L‐Asparaginase‐Induced Pancreatitis in Pediatric Patients With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack, Wan‐Chun Chang, Miguel Cordova‐Delgado, Spencer J. Anderson, Jessica N. Trueman, Erika N. Scott, Catrina M. Loucks, Shahrad R. Rassekh, Gabriella S. S. Groeneweg, Michelle Higginson, Kathy Li, Fudan Miao, Derek Yau, Donna Johnston, Mounira Ibrahim, Maja Krajinovic, Thai Hoa Tran, Jessica Tewfik, Jean‐François Bussières, Thaïna‐Rafi Jean‐Baptiste, Denis Lebel, Lucie Pecheux, Bina Gyawali, Gregory Guilcher, Gesche Riabowol, Geert ’t Jong, Michelle Staub, Geoff Cuvelier, Kathleen Felton, Sara Khalaj, Michael Rieder, Awatif Abuzgaia, Tamorah Lewis, Himal Ghimire, Paul Nathan, Kerry Goralski, Ketan Kulkarni, Zara Forbrigger, Colin J. D. Ross, Bruce C. Carleton   +39 more
wiley   +1 more source

Crop Yield Prediction: Data Structure and Ai-Powered Methods

Сельскохозяйственные машины и технологии
Smart farming, also known as intelligent agriculture, represents a modern stage in the development of agricultural science and practice. Its defining feature lies in the active application of artificial intelligence methods, particularly machine learning
V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko   +3 more
doaj   +1 more source

Evaluation of a New, Community‐Based Screening Program to Detect Hearing Loss in Adult Childhood Cancer Survivors in Switzerland: Findings From the HEAR Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood cancer survivors (CCS) have an increased risk of long‐term health complications, including treatment‐related hearing loss. Although early detection is important, many adult survivors do not attend hearing screenings in clinical centers because visits can be logistically or emotionally burdensome.
Philippa Jörger, Carina Nigg, Christina Schindera, Maša Žarković, Grit Sommer, Martin Kompis, Annika Frahsa, Nicolas Waespe, Marc Ansari, Claudia E. Kuehni   +9 more
wiley   +1 more source

CONSTRUCTIVE MODEL OF ADAPTATION OF DATA STRUCTURES IN RAM. PART II. CONSTRUCTORS OF SCENARIOS AND ADAPTATION PROCESSES

Nauka ta progres transportu, 2016
Purpose.The second part of the paper completes presentation of constructive and the productive structures (CPS), modeling adaptation of data structures in memory (RAM).
V. I. Shynkarenko, H. V. Zabula
doaj   +1 more source

Input Pattern Classification Based on the Markov Property of the IMBT with Related Equations and Contingency Tables

Entropy, 2020
In this contribution, we provide a detailed analysis of the search operation for the Interval Merging Binary Tree (IMBT), an efficient data structure proposed earlier to handle typical anomalies in the transmission of data packets.
István Finta, Sándor Szénási, Lóránt Farkas   +2 more
doaj   +1 more source