30,583 results match your criteria classical model


Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups.

Neuroimage 2022 Jan 12:118908. Epub 2022 Jan 12.

Department of Statistics, Indiana University, Myles Brand Hall E104 901 E. 10th Street Bloomington, IN, 47408, USA.

The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or stimulus. However, the classical GLM is based on a massive univariate approach that does not explicitly leverage the similarity of activation patterns among neighboring brain locations. As a result, it tends to produce noisy estimates and be underpowered to detect significant activations, particularly in individual subjects and small groups. Read More

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January 2022

Classical prescription Dachuanxiong Formula delays nitroglycerin-induced pain response in migraine mice through reducing endothelin-1 level and regulating fatty acid biosynthesis.

J Ethnopharmacol 2022 Jan 12:114992. Epub 2022 Jan 12.

State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China. Electronic address:

Ethnopharmacological Relevance: Dachuanxiong Formula (DCXF) is a classical Chinese medicine prescription and is composed of dried rhizomes from Ligusticum striatum DC. (Chuanxiong Rhizoma) and Gastrodia elata Bl. (Gastrodiae Rhizoma) at the ratio of 4:1 (w/w). Read More

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January 2022

A biophysical counting mechanism for keeping time.

Biol Cybern 2022 Jan 15. Epub 2022 Jan 15.

Center for Neural Science, New York University, New York, NY, USA.

The ability to estimate and produce appropriately timed responses is central to many behaviors including speaking, dancing, and playing a musical instrument. A classical framework for estimating or producing a time interval is the pacemaker-accumulator model in which pulses of a pacemaker are counted and compared to a stored representation. However, the neural mechanisms for how these pulses are counted remain an open question. Read More

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January 2022

Microscale drivers of summer CO fluxes in the Svalbard High Arctic tundra.

Sci Rep 2022 Jan 14;12(1):763. Epub 2022 Jan 14.

Institute of Geosciences and Earth Resources, Via Moruzzi 1, 56124, Pisa, Italy.

High-Arctic ecosystems are strongly affected by climate change, and it is still unclear whether they will become a carbon source or sink in the next few decades. In turn, such knowledge gaps on the drivers and the processes controlling CO fluxes and storage make future projections of the Arctic carbon budget a challenging goal. During summer 2019, we extensively measured CO fluxes at the soil-vegetation-atmosphere interface, together with basic meteoclimatic variables and ecological characteristics in the Bayelva river basin near Ny Ålesund, Spitzbergen, Svalbard (NO). Read More

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January 2022

AAPred-CNN: accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides.

Methods 2022 Jan 11. Epub 2022 Jan 11.

Department of Spine Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China. Electronic address:

Recently, deep learning techniques have been developed for various bioactive peptide prediction tasks. However, there are only conventional machine learning-based methods for the prediction of anti-angiogenic peptides (AAP), which play an important role in cancer treatment. The main reason why no deep learning method has been involved in this field is that there are too few experimentally validated AAPs to support the training of deep models but researchers have believed that deep learning seriously depends on the amounts of labeled data. Read More

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January 2022

Avoided crossings and dynamical tunneling close to excited-state quantum phase transitions.

Phys Rev E 2021 Dec;104(6-1):064116

Facultad de Física, Universidad Veracruzana, Circuito Aguirre Beltrán s/n, Xalapa, Veracruz 91000, Mexico.

Using the Wehrl entropy, we study the delocalization in phase space of energy eigenstates in the vicinity of avoided crossings in the Lipkin-Meshkov-Glick model. These avoided crossings, appearing at intermediate energies in a certain parameter region of the model, originate classically from pairs of trajectories lying in different phase-space regions which, contrary to the low-energy regime, are not connected by the discrete parity symmetry of the model. As coupling parameters are varied, a sudden increase of the Wehrl entropy is observed for eigenstates participating in avoided crossings that are close to the critical energy of the excited-state quantum phase transition. Read More

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December 2021

Regenerating Islet-Derived 3-alpha is a Prognostic Biomarker for Gastrointestinal Chronic Graft-Versus-Host Disease.

Blood Adv 2022 Jan 14. Epub 2022 Jan 14.

Medical University of South Carolina, Charleston, South Carolina, United States.

Prognostic biomarkers used to identify likelihood of disease progression have not been identified for chronic graft-versus-host disease (cGVHD), the leading cause of late non-relapse mortality (NRM) in survivors of allogenic hematopoietic cell transplantation. Gastrointestinal cGVHD (GI-cGVHD) has been particularly challenging to classify. Here, we analyzed three proteomics markers [Regenerating-islet-derived-3-alpha (Reg3α), C-X-C-motif-ligand (CXCL9) and Stimulation-2 (ST2)] in two independent cohorts of patients with cGVHD totaling 289 patients. Read More

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January 2022

Quantum Nonlinear Optics Based on Two-Dimensional Rydberg Atom Arrays.

Phys Rev Lett 2021 Dec;127(26):263602

ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain.

We propose the combination of subwavelength, two-dimensional atomic arrays and Rydberg interactions as a powerful platform to realize strong, coherent interactions between individual photons with high fidelity. The atomic spatial ordering guarantees efficient atom-light interactions without the possibility of scattering light into unwanted directions, allowing the array to act as a perfect mirror for individual photons. In turn, Rydberg interactions enable single photons to alter the optical response of the array within a potentially large blockade radius R_{b}, which can effectively punch a large "hole" for subsequent photons. Read More

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December 2021

The Q41R mutation in the HCV-protease enhances the reactivity towards MAVS by suppressing non-reactive pathways.

Phys Chem Chem Phys 2022 Jan 14. Epub 2022 Jan 14.

Technische Universität München (TUM), TUM School of Life Sciences, Freising 85354, Germany.

Recent experimental findings pointed out a new mutation in the HCV protease, Q41R, responsible for a significant enhancement of the enzyme's reactivity towards the mitochondrial antiviral-signaling protein (MAVS). The Q41R mutation is located rather far from the active site, and its involvement in the overall reaction mechanism is thus unclear. We used classical molecular dynamics and QM/MM to study the acylation reaction of HCV NS3/4A protease variants bound to MAVS and the NS4A/4B substrate and uncovered the indirect mechanism by which the Q41R mutation plays a critical role in the efficient cleavage of the substrate. Read More

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January 2022

Interaction of membrane-embedded cytochrome b-complexes with quinols: Classical Q-cycle and murburn model.

Cell Biochem Funct 2022 Jan 13. Epub 2022 Jan 13.

Karel de Grote University College, Antwerp University Association, Campus Hoboken, Hoboken, Belgium.

We recently proposed a diffusible reactive (oxygen) species (DRS/DROS) based function for cytochrome b complexes (CBC) and quinones (Q)/quinols (QH ) in the murburn model of bioenergetics. This proposal is in direct conflict with the classical purview of Q-cycle. Via extensive analyses of the structure-function correlations of membrane-quinones/quinols and proteins, we present qualitative and quantitative arguments to infer that the classical model cannot explain the energetics, kinetics, mechanism and probabilistic considerations. Read More

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January 2022

Psychoanalytic Paradigm and Its Meaning for Christian Anthropology.

Psychiatr Danub 2021 Spring-Summer;33(Suppl 4):895-901

Catholic Faculty of Theology, University of Zagreb, Vlaška 38, HR-10000 Zagreb, Croatia,

This paper explores the contribution of the psychoanalytic paradigm to Christian anthropology. In three thematic units, the author explores how certain classical psychoanalytic phenomena and concepts can contribute to a better understanding of growth and development in Christian maturity. In the first part of the article, the author interprets the instance of the unconscious within the psychic apparatus, with particular emphasis on the analysis of untapped potentials, repressed abilities, and conflicts that can obstruct growth in evangelical values. Read More

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January 2022

Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield.

Mol Plant 2022 Jan 10. Epub 2022 Jan 10.

National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address:

Diversity surveys of crop germplasm are important for gaining the insight into the genomic basis for plant architecture and grain yield improvement, which is still poorly understood in wheat. Here, we exome sequenced 287 wheat accessions that were collected in the past 100 years. Population genetics analysis identified 6. Read More

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January 2022

Visual Field Loss Impacts Vision-Specific Quality of Life by Race, Ethnicity: The Multiethnic Ophthalmology Cohorts of California Study.

Ophthalmology 2022 Jan 10. Epub 2022 Jan 10.

Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA 90027, USA. Electronic address:

Purpose: To assess the impact of Visual Field Loss (VFL) on Vision-Specific Quality of Life (VSQOL) by race, ethnicity and age DESIGN: Pooled analysis of cross-sectional data from three population-based, prospective cohort studies PARTICIPANTS: The Multiethnic Ophthalmology Cohorts of California Study (MOCCaS) participants included 6,142 Latinos, 4,582 Chinese Americans, and 6,347 African Americans from Los Angeles County.

Methods: 17,071 adults 40 years and older completed comprehensive interviews and ophthalmic examinations from 2000 to 2018. VFL was measured using the Humphrey SITA Standard 24-2 test as decibels (dB) of mean deviation (MD). Read More

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January 2022

Novel measures of Morris water maze performance that use vector field maps to assess accuracy, uncertainty, and intention of navigational searches.

Hippocampus 2022 Jan 13. Epub 2022 Jan 13.

Centre for Neuroscience, Indian Institute of Science, Bengaluru, India.

Most commonly used behavioral measures for testing learning and memory in the Morris water maze (MWM) involve comparisons of an animal's residence time in different quadrants of the pool. Such measures are limited in their ability to test different aspects of the animal's performance. Here, we describe novel measures of performance in the MWM that use vector fields to capture the motion of mice as well as their search pattern in the maze. Read More

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January 2022

A new Hypoxic Ischemic Encephalopathy model in neonatal rats.

Heliyon 2021 Dec 20;7(12):e08646. Epub 2021 Dec 20.

Division of Neurosurgery, Department of Surgery, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.

Background: Hypoxic-Ischemic Encephalopathy (HIE) occurs when an infant's brain does not receive adequate blood and oxygen supply, resulting in ischemic and hypoxic brain damage during delivery. Currently, supportive care and hypothermia have been the standard treatment for HIE. However, there are still a 20% mortality and most of the survivors are associated with significant neurodevelopmental disability. Read More

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December 2021

Non-classical Notch signaling by MDA-MB-231 breast cancer cell-derived small extracellular vesicles promotes malignancy in poorly invasive MCF-7 cells.

Cancer Gene Ther 2022 Jan 13. Epub 2022 Jan 13.

Regenerative Medicine and Heart Transplantation Unit, Instituto de Investigación Sanitaria la Fe, Valencia, Spain.

Aberrant Notch signaling is implicated in breast cancer progression, and recent studies have demonstrated links between the Notch pathway components Notch1 and Notch1 intracellular domain (N1ICD) with poor clinical outcomes. Growing evidence suggests that Notch signaling can be regulated by small extracellular vesicles (SEVs). Here, we used breast cancer cell models to examine whether SEVs are involved in functional Notch signaling. Read More

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January 2022

Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review.

ORL J Otorhinolaryngol Relat Spec 2022 Jan 12:1-11. Epub 2022 Jan 12.

Division of Otolaryngology, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa.

Introduction: Despite multiple prognostic indicators described for oral cavity squamous cell carcinoma (OCSCC), its management still continues to be a matter of debate. Machine learning is a subset of artificial intelligence that enables computers to learn from historical data, gather insights, and make predictions about new data using the model learned. Therefore, it can be a potential tool in the field of head and neck cancer. Read More

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January 2022

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies.

PLoS One 2022 12;17(1):e0261702. Epub 2022 Jan 12.

University of Aberdeen, Aberdeen, United Kingdom.

In motor-related brain regions, movement intention has been successfully decoded from in-vivo spike train by isolating a lower-dimension manifold that the high-dimensional spiking activity is constrained to. The mechanism enforcing this constraint remains unclear, although it has been hypothesized to be implemented by the connectivity of the sampled neurons. We test this idea and explore the interactions between local synaptic connectivity and its ability to encode information in a lower dimensional manifold through simulations of a detailed microcircuit model with realistic sources of noise. Read More

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January 2022

Benchmarking Molecular Feature Attribution Methods with Activity Cliffs.

J Chem Inf Model 2022 Jan 12. Epub 2022 Jan 12.

Department of Medicinal Chemistry, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Straße 65, 88397 Biberach an der Riss, Germany.

Feature attribution techniques are popular choices within the explainable artificial intelligence toolbox, as they can help elucidate which parts of the provided inputs used by an underlying supervised-learning method are considered relevant for a specific prediction. In the context of molecular design, these approaches typically involve the coloring of molecular graphs, whose presentation to medicinal chemists can be useful for making a decision of which compounds to synthesize or prioritize. The consistency of the highlighted moieties alongside expert background knowledge is expected to contribute to the understanding of machine-learning models in drug design. Read More

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January 2022

Phase separation mechanism for a unified understanding of dissipative pattern formation in a Liesegang system.

Phys Chem Chem Phys 2022 Jan 12. Epub 2022 Jan 12.

Faculty of Science, Yamagata University, 1-4-12, Kojirakawa, Yamagata 990-8560, Japan.

Dissipative patterns with solid-phase transitions are ubiquitous in nature. Despite their ubiquitous nature, there is no unified understanding of the non-equilibrium self-assembly mechanisms of such pattern formation. The Liesegang pattern (LP) is a typical model that has the potential to describe dissipative pattern formation arising from the nonlinear coupling of directional mass transport of water-soluble substances into a porous media with their solid-phase transition processes. Read More

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January 2022

Modeling the early transmission of COVID-19 in New York and San Francisco using a pairwise network model.

Infect Dis Model 2022 Mar 5;7(1):212-230. Epub 2022 Jan 5.

Department of Mathematics and Statistics Sciences, University of Alberta, Edmonton, Alberta, T6G 2G1, Canada.

Classical epidemiological models assume mass action. However, this assumption is violated when interactions are not random. With the recent COVID-19 pandemic, and resulting shelter in place social distancing directives, mass action models must be modified to account for limited social interactions. Read More

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ASPER-29 suppresses the metastasis of pancreatic cancer cells by dual inhibition of cathepsin-L and cathepsin-S.

Chem Biol Interact 2022 Jan 8;353:109811. Epub 2022 Jan 8.

Department of Pharmacology, School of Life Sciences and Biopharmaceutical Science, Shenyang Pharmaceutical University, Shenyang, 110016, China. Electronic address:

Pancreatic cancer will be the second leading cause of cancer-related mortality worldwide due to its high rate of metastasis. Cathepsins (CATs) are effectors of invasive growth in various cancers. Currently, targeting CATs represents an attractive strategy for the treatment of highly metastatic cancers with high CATs activity, such as pancreatic cancer. Read More

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January 2022

Trivalent ion overcharging on electrified graphene.

J Phys Condens Matter 2022 Jan 11. Epub 2022 Jan 11.

Chemical Sciences and Engineering Division, Argonne National Laboratory, 9700 S Cass Ave, Lemont, Illinois, 60439-4801, UNITED STATES.

The structure of the electrical double layer (EDL) formed near graphene in aqueous environments strongly impacts its performance for a plethora of applications, including capacitive deionization. In particular, adsorption and organization of multivalent counterions near the graphene interface can promote nonclassical behaviors of EDL including overcharging followed by co-ion adsorption. In this paper, we characterize the EDL formed near an electrified graphene interface in dilute aqueous YCl3 solution usinghigh resolution x-ray reflectivity (also known as crystal truncation rod (CTR)) and resonant anomalous x-ray reflectivity (RAXR). Read More

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January 2022

The effect of casein glycomacropeptide versus free synthetic amino acids for early treatment of phenylketonuria in a mice model.

PLoS One 2022 11;17(1):e0261150. Epub 2022 Jan 11.

Department of Clinical Genetics, Kennedy Center, Copenhagen University Hospital, Rigshospitalet, Denmark.

Introduction: Management of phenylketonuria (PKU) is mainly achieved through dietary control with limited intake of phenylalanine (Phe) from food, supplemented with low protein (LP) food and a mixture of free synthetic (FS) amino acids (AA) (FSAA). Casein glycomacropeptide (CGMP) is a natural peptide released in whey during cheese making by the action of the enzyme chymosin. Because CGMP in its pure form does not contain Phe, it is nutritionally suitable as a supplement in the diet for PKU when enriched with specific AAs. Read More

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January 2022

Reinforcement Learning-Based Model-Free Controller for Feedback Stabilization of Robotic Systems.

IEEE Trans Neural Netw Learn Syst 2022 Jan 11;PP. Epub 2022 Jan 11.

This article presents a reinforcement learning (RL) algorithm for achieving model-free control of robotic applications. The RL functions are adapted with the least-square temporal difference (LSTD) learning algorithms to develop a model-free state feedback controller by establishing linear quadratic regulator (LQR) as a baseline controller. The classical least-square policy iteration technique is adapted to establish the boundary conditions for complexities incurred by the learning algorithm. Read More

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January 2022

Data-driven prediction of grain boundary segregation and disordering in high-entropy alloys in a 5D space.

Authors:
Chongze Hu Jian Luo

Mater Horiz 2022 Jan 11. Epub 2022 Jan 11.

Department of Nanoengineering, University of California San Diego, La Jolla, California 92093, USA.

Grain boundaries (GBs) can critically influence the microstructural evolution and various material properties. However, a fundamental understanding of GBs in high-entropy alloys (HEAs) is lacking because of the complex couplings of the segregations of multiple elements and interfacial disordering, which can generate new phenomena and challenge the classical theories. Here, by combining large-scale atomistic simulations and machine learning models, we demonstrate the feasibility of predicting the GB properties as functions of four independent compositional degrees of freedom and temperature in a 5D space, thereby enabling the construction of GB diagrams for quinary HEAs. Read More

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January 2022

Electrospun Scaffold for Biomimic Culture of Caco-2 Cell Monolayer as an Intestinal Model.

ACS Appl Bio Mater 2021 Feb 13;4(2):1340-1349. Epub 2021 Jan 13.

School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.

The Caco-2 cell monolayer has been extensively used for the high-throughput assessing of nutrient absorption, screening of drug permeability, and studying the intestinal physiological process . The most used Caco-2 cell model is the Transwell model with polycarbonate microporous membranes. However, Caco-2 cells in the classical Transwell model need 21 days to gain an intact and mature monolayer. Read More

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February 2021

Transient Plasmonic Imaging of Ion Migration on Single Nanoparticles and Insight for Double Layer Dynamics.

Angew Chem Int Ed Engl 2022 Jan 10. Epub 2022 Jan 10.

Najing University, Chemistry, Xianlin Ave. 163, , 210023, Nanjing, CHINA.

Single-nanoparticle electrochemistry offers electrochemical behaviors of individual entity beyond the ensemble system. An electric double layer (EDL) exists on any charged particle-liquid interface because of counter-ions accumulation, while direct measuring the interfacial ion migration remains a challenge.  Herein, a plasmonic-based transient microscopic method, with a temporal resolution of 1-2 μs, was demonstrated to directly track the ion migration dynamics on single charged nanoparticles. Read More

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January 2022

Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer.

J Clin Med 2021 Dec 31;11(1). Epub 2021 Dec 31.

Department of Medicine, BuonconsiglioFatebenefratelli Hospital, 80100 Naples, Italy.

To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer. We used a dataset comprising 131 patients with active cancer and COVID-19. We considered five ML models: logistic regression, decision tree, random forest, support vector machine and Gaussian naive Bayes. Read More

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December 2021

New Methodology of Designation the Precise Aircraft Position Based on the RTK GPS Solution.

Sensors (Basel) 2021 Dec 21;22(1). Epub 2021 Dec 21.

Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland.

The paper presents the results of research on improving the accuracy of aircraft positioning using RTK-OTF (Real Time Kinematic-On The Fly) technique in air navigation. The paper shows a new solution of aircraft positioning for the application of the differential RTK-OTF technique in air navigation. In particular, a new mathematical model is presented which makes it possible to determine the resultant position of an aircraft based on the solution for the method of least squares in a stochastic process. Read More

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December 2021