Results 71 to 80 of about 202,389 (329)

SQL UŽKLAUSŲ OPTIMIZAVIMO TYRIMAS = SQL QUERY OPTIMIZATION RESEARCH

open access: yesTaikomieji tyrimai studijose ir praktikoje, 2017
Although scientific literature studies different aspects of SQL query optimization the major part of researches is limited to the theoretical analysis of problems.
Jurgita Lieponienė
doaj  

Convex Optimization for Linear Query Processing under Approximate Differential Privacy

open access: yes, 2016
Differential privacy enables organizations to collect accurate aggregates over sensitive data with strong, rigorous guarantees on individuals' privacy. Previous work has found that under differential privacy, computing multiple correlated aggregates as a
Hao, Zhifeng   +3 more
core   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

open access: yesMolecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg   +43 more
wiley   +1 more source

A Novel Urban Emergency Path Planning Method Based on Vector Grid Map

open access: yesIEEE Access, 2020
When an emergency occurs in the city, a large area of road congestion usually occurs. Therefore, it is particularly important to provide an effective emergency path planning strategy for vehicles.
Bowen Yang   +5 more
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

open access: yesMolecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix   +13 more
wiley   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

Query Complexity of Derivative-Free Optimization [PDF]

open access: yes, 2012
This paper provides lower bounds on the convergence rate of Derivative Free Optimization (DFO) with noisy function evaluations, exposing a fundamental and unavoidable gap between the performance of algorithms with access to gradients and those with ...
Jamieson, Kevin G.   +2 more
core   +1 more source

Impact of a senior research thesis on students' perceptions of scientific inquiry in distinct student populations

open access: yesFEBS Open Bio, EarlyView.
This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart   +4 more
wiley   +1 more source

Optimization of Queries Containing Conjunctions of Conditions

open access: yesМоделирование и анализ информационных систем, 2011
A new algorithm for query optimization is proposed. This algorithm simplifies queries restriction containing multi-attribute conditions. It also solves the problem of "Condition AND Conjunction of conditions" expressions.
S. D. Kuznetsov, N. A. Mendkovich
doaj  

Learning Tuple Probabilities [PDF]

open access: yes, 2016
Learning the parameters of complex probabilistic-relational models from labeled training data is a standard technique in machine learning, which has been intensively studied in the subfield of Statistical Relational Learning (SRL), but---so far---this is
Dylla, Maximilian, Theobald, Martin
core   +1 more source

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