Results 81 to 90 of about 872,279 (317)

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Genomic Studies Reveal Substantial Dominant Effects and Improved Genomic Predictions in an Open-Pollinated Breeding Population of Eucalyptus pellita

open access: yesG3: Genes, Genomes, Genetics, 2020
Most of the genomic studies in plants and animals have used additive models for studying genetic parameters and prediction accuracies. In this study, we used genomic models with additive and nonadditive effects to analyze the genetic architecture of ...
Saravanan Thavamanikumar   +3 more
doaj   +1 more source

Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring.

open access: yes, 2010
Background and Aims: Continuous glucose monitoring (CGM) devices could be useful for real-time management of diabetes therapy. In particular, CGM information could be used in real time to predict future glucose levels in order to prevent hypo ...
Pérez Gandía, Carmen   +15 more
core   +1 more source

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

open access: yesFEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo   +7 more
wiley   +1 more source

Intelligent classification models for food products basis on morphological, colour and texture features

open access: yesActa Agronómica, 2017
The aim of this paper is to build a supervised intelligent classification model of food products such as Biscuits, Cereals, Vegetables, Edible nuts and etc., using digital images. The Correlation-based Feature Selection (CFS) algorithm and 2nd derivative
Narendra Veernagouda Ganganagowder   +1 more
doaj   +1 more source

Prediction Accuracy of Link-Quality Estimators [PDF]

open access: yes, 2011
The accuracy of link-quality estimators (LQE) is mission-critical in many application scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing decisions or neighborhood formation. Link-quality estimation must offer validity for different timescales.
Christian Renner   +3 more
openaire   +1 more source

Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy [PDF]

open access: yes, 2012
This study investigates the data preparation process for predictive modelling of the evolution of complex networked systems, using an e–mail based social network as an example.
Musial, Katarzyna   +5 more
core   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

open access: yesFEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero   +5 more
wiley   +1 more source

Emerging insights into CC and CXC chemokines and their receptors in Mycobacterium tuberculosis infection

open access: yesFEBS Open Bio, EarlyView.
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley   +1 more source

New ideas and emerging research: evaluating prediction system accuracy

open access: yes, 2011
BACKGROUND: Prediction e.g. of project cost is an important concern in software engineering. PROBLEM: Although many empirical validations of software engineering prediction systems have been published, no one approach dominates and sense-making of ...
Shepperd, M
core  

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