From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
A solution approach to fully fuzzy linear fractional programming problems
Abstract In this paper, we propose a method of solving the fully fuzzy linear fractional programming problems, Express all the parameters and variables are triangular fuzzy numbers. Convert all the triangular fuzzy numbers in their parametric form, we convert the fractional programming problem in to a single objective linear programming ...
T. Loganathan, K. Ganesan
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Astrocyte Enrichment of 3D Cortical Constructs Enhances Brain Repair
This study highlights the role of astrocytes in supporting neural progenitor cell survival and differentiation after traumatic brain injury. Astrocytes enhanced neuronal differentiation, improved cell survival in co‐cultures, and promoted integration of microfluidics‐based implants with host tissue following implantation. Additionally, increased axonal
Elisa M. Cruz +20 more
wiley +1 more source
A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu +14 more
wiley +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source
A Quest for the Mechanism of Ultrahigh Resolution SEM Imaging
Using Monte Carlo simulations with explicit definitions of SE1 and SE2 align with a cascade secondary electron production model, this work shows that the 3D nanostructure modulated SE2 emission enhances other than to reduce topographical contrast via a “miniature Faraday cup” effect.
Hao Tian Chen +3 more
wiley +1 more source
A Novel Method for Solving the Fully Fuzzy Bilevel Linear Programming Problem [PDF]
We address a fully fuzzy bilevel linear programming problem in which all the coefficients and variables of both objective functions and constraints are expressed as fuzzy numbers. This paper is to develop a new method to deal with the fully fuzzy bilevel linear programming problem by applying interval programming method.
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All‐PEG‐Like Block Copolymers Self‐Assemble into Stealth Nanocarriers for Drug Delivery
Self‐assembling nanoparticles composed entirely of POEGMA are engineered by exploiting side‐chain–dependent amphiphilicity and tunable thermoresponsive behavior. These single‐material nanocarriers encapsulate diverse hydrophobic drugs with high efficiency, retain therapeutic activity, improve in vivo efficacy, and evade anti‐PEG antibodies.
Parul Sirohi +15 more
wiley +1 more source
Solution of Fully Fuzzy System of Linear Equations by Linear Programming Approach
Fuzzy systems of linear equations play a vital role in various applications of engineering, science and finance problems. This paper proposes a new method for solving Fully Fuzzy System of Linear Equations (FFSLE) using the linear programming problem approach. There is no restriction on the elements of coefficient matrix. The proposed method is able to
Diptiranjan Behera +2 more
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His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li +13 more
wiley +1 more source

