Minjie Fan
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View article: Lipid metabolic reprogramming and associated ferroptosis in osteosarcoma: From molecular mechanisms to potential targets
Lipid metabolic reprogramming and associated ferroptosis in osteosarcoma: From molecular mechanisms to potential targets Open
View article: Corrigendum to “3D-printed tri-element-doped hydroxyapatite/ polycaprolactone composite scaffolds with antibacterial potential for osteosarcoma therapy and bone regeneration” [Bioact. Mater. 31 (January 2024) 18–37]
Corrigendum to “3D-printed tri-element-doped hydroxyapatite/ polycaprolactone composite scaffolds with antibacterial potential for osteosarcoma therapy and bone regeneration” [Bioact. Mater. 31 (January 2024) 18–37] Open
View article: 3D-printed tri-element-doped hydroxyapatite/ polycaprolactone composite scaffolds with antibacterial potential for osteosarcoma therapy and bone regeneration
3D-printed tri-element-doped hydroxyapatite/ polycaprolactone composite scaffolds with antibacterial potential for osteosarcoma therapy and bone regeneration Open
View article: 3D bioprinted hydrogel/polymer scaffold with factor delivery and mechanical support for growth plate injury repair
3D bioprinted hydrogel/polymer scaffold with factor delivery and mechanical support for growth plate injury repair Open
Introduction: Growth plate injury is a significant challenge in clinical practice, as it could severely affect the limb development of children, leading to limb deformity. Tissue engineering and 3D bioprinting technology have great potenti…
View article: Biomaterial-assisted tumor therapy: A brief review of hydroxyapatite nanoparticles and its composites used in bone tumors therapy
Biomaterial-assisted tumor therapy: A brief review of hydroxyapatite nanoparticles and its composites used in bone tumors therapy Open
Graphical Abstract
View article: Identifying Diffuse Spatial Structures in High-energy Photon Lists
Identifying Diffuse Spatial Structures in High-energy Photon Lists Open
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point s…
View article: Multifunctional 3D-printed bioceramic scaffolds: Recent strategies for osteosarcoma treatment
Multifunctional 3D-printed bioceramic scaffolds: Recent strategies for osteosarcoma treatment Open
Osteosarcoma is the most prevalent bone malignant tumor in children and teenagers. The bone defect, recurrence, and metastasis after surgery severely affect the life quality of patients. Clinically, bone grafts are implanted. Primary bioce…
View article: Case‐Control Study on a Decade of Ground‐Based Magnetometers in California Reveals Modest Signal 24–72 hr Prior to Earthquakes
Case‐Control Study on a Decade of Ground‐Based Magnetometers in California Reveals Modest Signal 24–72 hr Prior to Earthquakes Open
Magnetic field changes as earthquake precursors have been the subject of numerous studies and some controversy. Infrequent large earthquakes and sparse magnetometer coverage along fault zones complicate statistical analysis. We present an …
View article: Identifying diffuse spatial structures in high-energy photon lists
Identifying diffuse spatial structures in high-energy photon lists Open
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point s…
View article: Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts Open
View article: Multiresolution Modeling of High‐Latitude Ionospheric Electric Field Variability and Impact on Joule Heating Using SuperDARN Data
Multiresolution Modeling of High‐Latitude Ionospheric Electric Field Variability and Impact on Joule Heating Using SuperDARN Data Open
The most dynamic electromagnetic coupling between the magnetosphere and ionosphere occurs in the polar upper atmosphere. It is critical to quantify the electromagnetic energy and momentum input associated with this coupling as its impacts …
View article: Multiresolution Modeling of High-latitude Ionospheric Electric Field Variability and Impact on Joule Heating Using SuperDARN Data
Multiresolution Modeling of High-latitude Ionospheric Electric Field Variability and Impact on Joule Heating Using SuperDARN Data Open
Earth and Space Science Open Archive This work has been accepted for publication in Journal of Geophysical Research - Space Physics. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be pre…
View article: The comparison of teaching efficiency between virtual reality and traditional education in medical education: a systematic review and meta-analysis
The comparison of teaching efficiency between virtual reality and traditional education in medical education: a systematic review and meta-analysis Open
Students in the VR group performed better than those in the traditional education group. Teaching with VR may enhance student learning in medical education. Medical schools should consider making greater use of VR when educating students.
View article: Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts Open
Drug discovery for diseases such as Parkinson’s disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painti…
View article: A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens Open
Machine learning is applied to high-throughput microscopy images of malaria parasites to define antimalarial drug mode of action.
View article: Quantum optimization with a novel Gibbs objective function and ansatz architecture search
Quantum optimization with a novel Gibbs objective function and ansatz architecture search Open
The Quantum Approximate Optimization Algorithm (QAOA) is a standard method for combinatorial optimization with a gate-based quantum computer. The QAOA consists of a particular ansatz for the quantum circuit architecture, together with a pr…
View article: Learning causal networks using inducible transcription factors and transcriptome‐wide time series
Learning causal networks using inducible transcription factors and transcriptome‐wide time series Open
View article: Peer Review #2 of "Correcting nuisance variation using Wasserstein distance (v0.1)"
Peer Review #2 of "Correcting nuisance variation using Wasserstein distance (v0.1)" Open
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells.One motivating application is drug development: morphological cell features can be capt…
View article: Peer Review #1 of "Correcting nuisance variation using Wasserstein distance (v0.2)"
Peer Review #1 of "Correcting nuisance variation using Wasserstein distance (v0.2)" Open
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells.One motivating application is drug development: morphological cell features can be capt…
View article: Peer Review #3 of "Correcting nuisance variation using Wasserstein distance (v0.1)"
Peer Review #3 of "Correcting nuisance variation using Wasserstein distance (v0.1)" Open
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells.One motivating application is drug development: morphological cell features can be capt…
View article: Peer Review #1 of "Correcting nuisance variation using Wasserstein distance (v0.1)"
Peer Review #1 of "Correcting nuisance variation using Wasserstein distance (v0.1)" Open
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells.One motivating application is drug development: morphological cell features can be capt…
View article: Peer Review #3 of "Correcting nuisance variation using Wasserstein distance (v0.2)"
Peer Review #3 of "Correcting nuisance variation using Wasserstein distance (v0.2)" Open
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells.One motivating application is drug development: morphological cell features can be capt…
View article: Correcting nuisance variation using Wasserstein distance
Correcting nuisance variation using Wasserstein distance Open
Profiling cellular phenotypes from microscopic imaging can provide meaningful biological information resulting from various factors affecting the cells. One motivating application is drug development: morphological cell features can be cap…
View article: A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens Open
Drug resistance threatens the effective prevention and treatment of an ever-increasing range of human infections. This highlights an urgent need for new and improved drugs with novel mechanisms of action to avoid cross-resistance. Current …
View article: Applying Deep Neural Network Analysis to High-Content Image-Based Assays
Applying Deep Neural Network Analysis to High-Content Image-Based Assays Open
View article: Implementation and Application of Video Distribution Technology Based on OpenGL
Implementation and Application of Video Distribution Technology Based on OpenGL Open
The panoramic video contains a wealth of information that vividly reproduces the surrounding scene. However, the larger video information puts forward higher requirements for data transmission, interactivity and real-time. All the video in…
View article: Time-resolved genome-scale profiling reveals a causal expression network
Time-resolved genome-scale profiling reveals a causal expression network Open
We present an approach for inferring genome-wide regulatory causality and demonstrate its application on a yeast dataset constructed by independently inducing hundreds of transcription factors and measuring timecourses of the resulting gen…
View article: Neural-Guided Symbolic Regression with Semantic Prior.
Neural-Guided Symbolic Regression with Semantic Prior. Open
Symbolic regression has been shown to be quite useful in many domains from discovering scientific laws to industrial empirical modeling. Existing methods focus on numerically fitting the given data. However, in many domains, symbolically d…
View article: Neural-Guided Symbolic Regression with Asymptotic Constraints
Neural-Guided Symbolic Regression with Asymptotic Constraints Open
Symbolic regression is a type of discrete optimization problem that involves searching expressions that fit given data points. In many cases, other mathematical constraints about the unknown expression not only provide more information bey…
View article: A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials
A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials Open
Gaussian random fields have been one of the most popular tools for analyzing spatial data. However, many geophysical and environmental processes often display non-Gaussian characteristics. In this paper, we propose a new class of spatial m…