Results 41 to 50 of about 63,620,147 (200)

Live Software Development (Systematic Literature Review) - Data

open access: yes, 2023
This dataset contains all the data used throughout the Systematic Literature Review done on the topic of Live Software Development.
Sara Fernandes (12504544)
core   +1 more source

Comparing the performance of narrow vs. broad search strategies when using machine learning-based software for title/abstract screening

open access: yesJournal of the Medical Library Association
Objective: To retrospectively evaluate workload implications and recall performance of narrower or broader database search strategies when using active learning screening tools.
Michelle Swab
doaj   +1 more source

Heterogeneity in meta-analyses: an unavoidable challenge worth exploring [PDF]

open access: yesKorean Journal of Anesthesiology
Heterogeneity is a critical but unavoidable aspect of meta-analyses that reflects differences in study outcomes beyond what is expected by chance.
Geun Joo Choi, Hyun Kang
doaj   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben   +4 more
wiley   +1 more source

A systematic review of software development cost estimation studies [PDF]

open access: yes, 2007
This paper aims to provide a basis for the improvement of software estimation research through a systematic review of previous work. The review identifies 304 software cost estimation papers in 76 journals and classifies the papers according to research ...
Shepperd, MJ, Jørgensen, M
core   +1 more source

An intelligent literature review: adopting inductive approach to define machine learning applications in the clinical domain

open access: yesJournal of Big Data, 2022
Big data analytics utilizes different techniques to transform large volumes of big datasets. The analytics techniques utilize various computational methods such as Machine Learning (ML) for converting raw data into valuable insights.
Renu Sabharwal, Shah J. Miah
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk   +10 more
wiley   +1 more source

Correcting what cannot be corrected: rethinking publication bias analysis methods in clinical meta-analyses [PDF]

open access: yesKorean Journal of Anesthesiology
Methods to assess and adjust for publication bias are often presented as tools to correct distorted evidence in meta-analyses. However, statistical adjustment cannot recover information that was selectively generated, reported, or disseminated.
Hyun Kang
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari   +5 more
wiley   +1 more source

The topic-prominence parameter [PDF]

open access: yes, 2013
This article aims to recast the properties of topic-prominent languages and their differences from subject-prominent languages as documented in the functionalist literature into the framework of the Principle-and-Parameter approach.
Xu, Liejiong
core  

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