Results 81 to 90 of about 2,590,839 (306)

Predicting business/ICT alignment with AntMiner+. [PDF]

open access: yes
In this paper we report on the results of a European survey on business/ICT alignment practices. The goal of this study is to come up with some practical guidelines for managers on how to strive for better alignment of ICT investments with business ...
Haesen, Raf   +7 more
core  

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach   +9 more
wiley   +1 more source

Modelling and Evaluation of Lexical and Syntactic Alignment with a Priming-Based Microplanner [PDF]

open access: yes, 2010
Buschmeier H, Bergmann K, Kopp S. Modelling and Evaluation of Lexical and Syntactic Alignment with a Priming-Based Microplanner. In: Krahmer E, Theune M, eds. Empiricial Methods in Natural Language Generation. Lecture Notes in Computer Science. Vol 5790.
Kopp, Stefan ; https://orcid.org/   +7 more
core   +1 more source

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

open access: yesMolecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi   +6 more
wiley   +1 more source

Trace alignment algorithm optimization

open access: yesData Mining and Knowledge Discovery
Abstract Process Mining is a computational discipline aimed at discovering, monitoring, and improving processes. In the business sector, it integrates artificial intelligence and data mining to uncover trends, patterns, and insights within classified data systems.
Leandro González-Montesino   +1 more
openaire   +2 more sources

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

open access: yesMolecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu   +9 more
wiley   +1 more source

Global Network Alignment [PDF]

open access: yes, 2010
Motivation: High-throughput methods for detecting molecular interactions have lead to a plethora of biological network data with much more yet to come, stimulating the development of techniques for biological network alignment.
Oleksii Kuchaiev, Natasa Przulj
core  

Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training [PDF]

open access: yes, 2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters".
Meissner, Michael   +11 more
core   +1 more source

Multi-Objective Optimization Method for Marine Propulsion Shaft Alignment Under Multiple Operating Conditions

open access: yesJournal of Marine Science and Engineering
Marine propulsion shaft alignment is affected by bearing offsets, hull deformation, thermal growth, and condition-dependent propeller and gear loads. An alignment scheme optimized for a single condition may therefore lead to unbalanced bearing reactions ...
Shuzhe Wang, Zhongxu Tian, Shouqi Cao
doaj   +1 more source

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment

open access: yesCoRR
Alignment methodologies have emerged as a critical pathway for enhancing language model alignment capabilities. While SFT (supervised fine-tuning) accelerates convergence through direct token-level loss intervention, its efficacy is constrained by offline policy trajectory.
Haowen Wang   +14 more
openaire   +3 more sources

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