Results 61 to 70 of about 7,545,585 (279)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
ALGORITHM OF SELECTING COST ESTIMATION METHODS FOR ERP SOFTWARE IMPLEMENTATION [PDF]
Applied Computer Science, 2013 The article discusses the problem of selecting estimation methods for cost and implementation time for ERP systems, in case when system modifications are necessary. The authors reviewed the methods available in the literature and characterised the stages
Przemysław Plecka, Krzysztof Bzdyra
doaj
AN ENHANCED CLIENT CENTRIC SOFTWARE DEVELOPMENT LIFE CYCLE MODEL WITH COST AND EFFORT ESTIMATION [PDF]
ICTACT Journal on Management Studies, 2015 In today’s world of software development, there exist many Software Development Life Cycle (SDLC) Models. SDLC model gives a theoretical guideline for the development of the software.
Vanshika Rastogi +3 more
doaj +1 more source
A framework for the analysis of software cost estimation accuracy [PDF]
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering, 2006 Many software companies track and analyze project performance by measuring cost estimation accuracy. A high estimation error is frequently interpreted as poor estimation skills. This is not necessarily a correct interpretation. High estimation error can also be a result of other factors, such as high estimation complexity and insufficient cost control ...
Stein Grimstad, Magne Jørgensen
openaire +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan +5 more
wiley +1 more source
Software maintenance cost estimation with fourth generation languages [PDF]
, 1997 This thesis addresses the problem of allocation of software maintenance resources in a commercial environment using fourth generation language systems. The activity of maintaining software has a poor image amongst software managers, as it often appears ...
Lamb, Raymond K.
core
Heterogeneous Ensemble Model to Optimize Software Effort Estimation Accuracy
IEEE Access, 2023 The software industry has experienced rapid expansion in recent years, with software development now essential to the success of many multinational corporations.
Syed Sarmad Ali +4 more
doaj +1 more source
Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni +19 more
wiley +1 more source
Feature weighting techniques for CBR in software effort estimation studies: A review and empirical evaluation [PDF]
, 2014 Context : Software effort estimation is one of the most important activities in the software development process. Unfortunately, estimates are often substantially wrong. Numerous estimation methods have been proposed including Case-based Reasoning (CBR).
Boyce Sigweni +3 more
core +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source