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View article: Nanopuncturing‐Enabled Efficient Gene Editing for Isogenic Human iPSC‐Derived Organoid Engineering
Nanopuncturing‐Enabled Efficient Gene Editing for Isogenic Human iPSC‐Derived Organoid Engineering Open
Genetically engineering human induced pluripotent stem cells (hiPSCs) with clustered regularly interspaced short palindromic repeats/CRISPR‐associated protein 9 (CRISPR/Cas9) to construct isogenic organoid models holds great promise for di…
View article: Implicit neural image field for biological microscopy image compression
Implicit neural image field for biological microscopy image compression Open
The rapid pace of innovation in biological microscopy has produced increasingly large images, putting pressure on data storage and impeding efficient data sharing, management and visualization. This trend necessitates new, efficient compre…
View article: EZH2-mediated H3K27me3 links microbial inosine loss to depression: a gut-brain epigenetic switch
EZH2-mediated H3K27me3 links microbial inosine loss to depression: a gut-brain epigenetic switch Open
Background: Depression, the second most prevalent neurological disorder globally, affects over 300 million people and presents an urgent public health challenge. While gut microbiota dysbiosis is increasingly recognized as a key contributo…
View article: Enhancing the activity and stability of RuO<sub>2</sub>-based catalyst <i>via</i> nano-confinement effect for O<sub>2</sub> evolution reaction in acid electrolyte
Enhancing the activity and stability of RuO<sub>2</sub>-based catalyst <i>via</i> nano-confinement effect for O<sub>2</sub> evolution reaction in acid electrolyte Open
The oxygen evolution reaction (OER), as a pivotal process in electrochemical water splitting, directly determines energy conversion efficiency. Ruthenium (Ru)-based catalysts have gained considerable attention in recent years due to their …
View article: MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation Open
Multimodal Large Language Models (MLLMs) excel in understanding complex language and visual data, enabling generalist robotic systems to interpret instructions and perform embodied tasks. Nevertheless, their real-world deployment is hinder…
View article: Self-Anchoring Coumarin Oxime Ester Photoinitiators with Low Migration for UV-LED Curable Coatings
Self-Anchoring Coumarin Oxime Ester Photoinitiators with Low Migration for UV-LED Curable Coatings Open
Reducing photoinitiator migration from photocured coatings remains a critical challenge, particularly for applications in food packaging and healthcare products. Here, we report a series of novel UV-LED sensitive oxime ester photoinitiator…
View article: Expand Heterogeneous Learning Systems with Selective Multi-Source Knowledge Fusion
Expand Heterogeneous Learning Systems with Selective Multi-Source Knowledge Fusion Open
Expanding existing learning systems to provide high-quality customized models for more domains, such as new users, is challenged by the limited labeled data and the data and device heterogeneities. While knowledge distillation methods coul…
View article: Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective
Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Open
Advancing towards generalist agents necessitates the concurrent processing of multiple tasks using a unified model, thereby underscoring the growing significance of simultaneous model training on multiple downstream tasks. A common issue i…
View article: Training-free Regional Prompting for Diffusion Transformers
Training-free Regional Prompting for Diffusion Transformers Open
Diffusion models have demonstrated excellent capabilities in text-to-image generation. Their semantic understanding (i.e., prompt following) ability has also been greatly improved with large language models (e.g., T5, Llama). However, exis…
View article: Multimodal Large Language Models for Bioimage Analysis
Multimodal Large Language Models for Bioimage Analysis Open
Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scales, pinpointing the type, quantity, location, and even tempo…
View article: Diagnostic efficacy of virtual organ computer-assisted analysis in measuring the volume ratio of subchorionic hematoma with serum progesterone
Diagnostic efficacy of virtual organ computer-assisted analysis in measuring the volume ratio of subchorionic hematoma with serum progesterone Open
BACKGROUND Subchorionic hematoma (SCH) is a common complication in early pregnancy characterized by the accumulation of blood between the uterine wall and the chorionic membrane. SCH can lead to adverse pregnancy outcomes such as miscarria…
View article: Implicit Neural Image Field for Biological Microscopy Image Compression
Implicit Neural Image Field for Biological Microscopy Image Compression Open
The rapid pace of innovation in biological microscopy imaging has led to large images, putting pressure on data storage and impeding efficient sharing, management, and visualization. This necessitates the development of efficient compressi…
View article: Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation Open
Continual Test-Time Adaptation (CTTA), which aims to adapt the pre-trained model to ever-evolving target domains, emerges as an important task for vision models. As current vision models appear to be heavily biased towards texture, continu…
View article: SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera
SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera Open
One of the most critical factors in achieving sharp Novel View Synthesis (NVS) using neural field methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) is the quality of the training images. However, Conventional RGB …
View article: Digitization of flow battery experimental process research and development
Digitization of flow battery experimental process research and development Open
Rising atmospheric CO2 concentrations urgently call for advanced sustainable energy storage solutions, underlining the pivotal role of renewable energies. This perspective delves into the capabilities of redox flow batteries as potential g…
View article: Potential regulation of bipolar redox-active molecules with fused conjugation for high-voltage symmetric organic redox flow batteries
Potential regulation of bipolar redox-active molecules with fused conjugation for high-voltage symmetric organic redox flow batteries Open
Bipolar redox-active organic molecules (ROMs) are emerging as promising active materials as both anolyte and catholyte for symmetric organic redox flow batteries (ORFBs) which moderating the detrimental electrolyte crossover. However, cert…
View article: HUB: Guiding Learned Optimizers with Continuous Prompt Tuning
HUB: Guiding Learned Optimizers with Continuous Prompt Tuning Open
Learned optimizers are a crucial component of meta-learning. Recent advancements in scalable learned optimizers have demonstrated their superior performance over hand-designed optimizers in various tasks. However, certain characteristics o…
View article: Intermolecular pi-pi-packing-induced thermally activated delayed fluorescence: a novel pathway toward luminescence efficiency of nearly 100%
Intermolecular pi-pi-packing-induced thermally activated delayed fluorescence: a novel pathway toward luminescence efficiency of nearly 100% Open
Efficient utilization of triplet excitons is vital in organic optoelectronics. One important strategy for harvesting triplets is thermally activated delayed fluorescence (TADF). In most TADF materials, the first singlet (S1) and triplet (T…
View article: Diffusive Pseudo-Conformal Mapping: Anisotropy-Free Transformation Thermal Media with Perfect Interface Matching
Diffusive Pseudo-Conformal Mapping: Anisotropy-Free Transformation Thermal Media with Perfect Interface Matching Open
Transformation media provide a fundamental paradigm for field regulation, but their tricky anisotropy challenges fabrication. Though optical conformal mapping has been utilized to eliminate anisotropy, two key factors still hinder its deve…
View article: CCDC 2218432: Experimental Crystal Structure Determination
CCDC 2218432: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: CCDC 2216345: Experimental Crystal Structure Determination
CCDC 2216345: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Transformation hydrodynamic metamaterials: Rigorous arguments on form invariance and structured design with spatial variance
Transformation hydrodynamic metamaterials: Rigorous arguments on form invariance and structured design with spatial variance Open
The method of transformation optics has been a powerful tool to manipulate physical fields if governing equations are formally invariant under coordinate transformations. However, regulation of hydrodynamics is still far from satisfactory …
View article: Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion
Multi-Image Encryption Algorithm Based on Cascaded Modulation Chaotic System and Block-Scrambling-Diffusion Open
To address the problem of a poor security image encryption algorithm based on a single chaotic map, this paper proposes a cascade modulation chaotic system (CMCS) that can generate multiple chaotic maps. On this basis, a multi-image encryp…
View article: Effective Design Strategy of Small Bipolar Molecules through Fused Conjugation toward 2.5 V Based Redox Flow Batteries
Effective Design Strategy of Small Bipolar Molecules through Fused Conjugation toward 2.5 V Based Redox Flow Batteries Open
Using bipolar redox-active molecules (BRMs) as active materials is a practical way to address electrolyte crossover and resultant unpredictable side reactions in redox-flow batteries. However, the development of BRMs is greatly hindered by…
View article: Efficient and High Colour Purity RGB OLEDs Employing Densely Packed Dimers
Efficient and High Colour Purity RGB OLEDs Employing Densely Packed Dimers Open
Thermally activated delayed fluorescence (TADF) has been considered an important development in organic light-emitting diodes (OLEDs) for significantly enhancing efficiency of pure organic emitters. However, TADF is often associated with b…
View article: Efficient and High Colour Purity RGB OLEDs Employing Densely Packed Dimers
Efficient and High Colour Purity RGB OLEDs Employing Densely Packed Dimers Open
Thermally activated delayed fluorescence (TADF) has been considered an important development in organic light-emitting diodes (OLEDs) for significantly enhancing efficiency of pure organic emitters. However, TADF is often associated with b…
View article: The Change of Cervical Spine Alignment Along with BMI in Asymptomatic Population: A Preliminary Analysis
The Change of Cervical Spine Alignment Along with BMI in Asymptomatic Population: A Preliminary Analysis Open
Study design: A cross-sectional study Objective: Describe the difference in the cervical sagittal alignment between various BMI people. Summary of Background Data: Cervical sagittal imbalance is implicated in the development of various spi…