Results 91 to 100 of about 1,042,562 (308)

Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines

open access: yesEnergies
In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures.
Mustafa Karaköse, Özgün Yücel
doaj   +1 more source

SUPERVISION OF SUPERVISION

open access: yesPsihoterapija : Časopis Instituta za grupnu analizu, Hrvatskog psihoanalitičkog društva i Hrvatskog društva za psihoanalitičku psihoterapiju, 2018
The paper describes how the supervisor’s awareness of their covert processes, thoughts, and feelings increased as a direct result of the work in the median group and in the supervision of supervision. When the supervisor misses the parallel process in the supervision group, it can be discovered in the supervision of supervision and during self-analysis.
openaire   +1 more source

Inhibition of dipeptidyl peptidase 7 impairs lysophagy in LLOMe‐treated HepG2 cells

open access: yesFEBS Letters, EarlyView.
DPP7 inhibition delays ubiquitin‐dependent lysophagy by attenuating ubiquitin accumulation and the recruitment of SQSTM1 and LC3 to damaged lysosomes, resulting in delayed clearance of damaged lysosomes and impaired restoration of lysosomal homeostasis. Created using FigureLabs (Certificate ID: FL‐PUB‐20260922‐Z99XNX).
Na Yeon Park   +8 more
wiley   +1 more source

Semi-supervised transductive speaker identification [PDF]

open access: yes, 2009
We present an application of transductive semi-supervised learning to the problem of speaker identification. Formulating this problem as one of transduction is the most natural choice in some scenarios, such as when annotating archived speech data ...
Täckström, Oscar
core  

From Evidence to Practice: A Systematic Review and Meta-Analysis on the Effects of Supervised Exercise on Fatigue in Breast and Prostate Cancer Survivors

open access: yesApplied Sciences
Background: Breast and prostate cancer represent a significant global public health burden. Among the adverse effects of oncological treatments, fatigue is one of the most prevalent, persistent, and disabling symptoms. Therapeutic exercise has been shown
Arturo Cano-Uceda   +7 more
doaj   +1 more source

Soft motions encoded by the fold and mediated by conserved hinge sites drive V‐ATPase allosteric machinery and autoinhibition

open access: yesFEBS Letters, EarlyView.
Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana   +3 more
wiley   +1 more source

Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context [PDF]

open access: yes, 2022
Background and objectives: The development of mobile and on the edge appli-cations that embed deep convolutional neural models has the potential to revolutionisebiomedicine.
Díaz-Pinto, Andrés   +5 more
core  

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

open access: yesMolecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla   +9 more
wiley   +1 more source

School-based supervised therapy programs to improve asthma outcomes: current perspectives

open access: yesJournal of Asthma and Allergy, 2018
Guadalupe Salazar, Geeta Tarwala, Marina Reznik Division of Academic General Pediatrics, Children’s Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA Background: Asthma is one of the most common chronic diseases of ...
Salazar G, Tarwala G, Reznik M
doaj  

iMESc – an interactive machine learning app for environmental sciences

open access: yesFrontiers in Environmental Science
As environmental sciences increasingly rely on complex datasets, machine learning (ML) has become crucial for identifying patterns and relationships. However, the integration of ML into workflows can pose challenges due to technical barriers or the time ...
Danilo Cândido Vieira   +4 more
doaj   +1 more source

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