Results 81 to 90 of about 6,555,116 (242)

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

Comparing rule-based and data-driven approaches to Spanish-to-Basque machine translation [PDF]

, 2007
In this paper, we compare the rule-based and data-driven approaches in the context of Spanish-to-Basque Machine Translation. The rule-based system we consider has been developed specifically for Spanish-to-Basque machine translation, and is tuned to ...
Stroppa, Nicolas, Way, Andy, Labaka, Gorka, Sarasola, Kepa   +3 more
core   +2 more sources

Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

FEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

Combining semantic and syntactic generalization in example-based machine translation [PDF]

, 2011
In this paper, we report our experiments in combining two EBMT systems that rely on generalized templates, Marclator and CMU-EBMT, on an English–German translation task. Our goal was to see whether a statistically significant improvement could be achieved
Way, Andy, Kumar Naskar, Sudip, Ebling, Sarah, Volk, Martin   +3 more
core   +2 more sources

SMART BUILDING CLIMATE CONTROL: MACHINE LEARNING APPROACH FOR INDIVIDUAL THERMAL PREFERENCE PREDICTION

Journal of Problems in Computer Science and Information Technologies
Modern building management systems rely on uniform climate settings that fail to accommodate individual occupant preferences, resulting in energy waste and reduced comfort satisfaction. This study presents a data-driven approach for personalized thermal
Bibars Amangeldy, Bauyrzhan Abilda
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Induction machine fault detection enhancement using a stator current high resolution spectrum [PDF]

, 2012
Fault detection in squirrel cage induction machines based on stator current spectrum has been widely investigated. Several high resolution spectral estimation techniques have been developed and used to detect induction machine abnormal operating ...
CHARPENTIER, Jean-Frederic, Vincent Choqueuse, EL BOUCHIKHI, El Houssin, BENBOUZID, Mohamed, Choqueuse, Vincent, V., Mohamed Benbouzid, El Houssin El Bouchikhi, Jean Frederic Charpentier, CHOQUEUSE, Vincent   +8 more
core   +1 more source

SMOTE-Data-Augmented Machine Learning for Enhancing Individual Tree Biomass Estimation Using UAV LiDAR

Remote Sensing
Estimating individual tree Above-Ground Biomass (AGB) is essential for assessing ecological functions and carbon storage in both forest and urban environments.
Sina Jarahizadeh, Bahram Salehi
doaj   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Soft-Voting Ensemble Model: An Efficient Learning Approach for Predictive Prostate Cancer Risk

Vietnam Journal of Computer Science
Prostate cancer is increasingly common among men. However, the process of diagnosing malignant disease is relatively complicated and time-consuming. Identifying benign or malignant tumors early can assist medical professionals in choosing appropriate ...
Kien Cao-Van, Tran Cao Minh, Le Gia Minh, Tran Thi Be Quyen, Ha Minh Tan   +4 more
doaj   +1 more source