Accuracy evaluation of different statistical and geostatistical censored data imputation approaches (Case study: Sari Gunay gold deposit) [PDF]
Most of the geochemical datasets include missing data with different portions and this may cause a significant problem in geostatistical modeling or multivariate analysis of the data.
Babak Ghane, Omid Asghari
doaj
Trojan Horse Strategy: How Biomimetic Nanomedicine Remodels the Tumor Microenvironment
This review focuses on biomimetic nanomedicines for tumor microenvironment (TME) remodeling, covering their diverse biomimetic types, design principles, and mechanisms of immune cell reprogramming and reversal of immunosuppressive microenvironments, with particular emphasis on their application in synergistic immunotherapy.
Wanrong Wang +7 more
wiley +1 more source
Localization in Wireless Sensor Network based on Multidimensional Scaling (MDS)
openalex +1 more source
Various spillover‐mediated electrocatalytic reactions, such as hydrogen and oxygen evolution, carbon dioxide and nitrogen reduction, and methanol oxidization reactions, are systematically summarized. Abstract Spillover phenomenon, which is characterized by the dynamic migration of active species across catalyst surfaces, provides a promising avenue to ...
Di Wang +5 more
wiley +1 more source
Sustainability analysis of Rumah Gadang in Nagari Tuo Pariangan, Tanah Datar Regency using multidimensional scaling (MDS) [PDF]
Titin Nofita Handa Puteri +3 more
openalex +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
ANALISIS KESESUAIAN PERAIRAN UNTUK BUDIDAYA RUMPUT LAUT MENGGUNAKAN MULTIDIMENSIONAL SCALING (MDS) [PDF]
Permana Ari Soejarwo +1 more
openalex +1 more source
3WaySym-Scal: three-way symbolic multidimensional scaling [PDF]
Multidimensional scaling aims at reconstructing dissimilarities between pairs of objects by distances in a low dimensional space.However, in some cases the dissimilarity itself is not known, but the range, or a histogram of the dissimilarities is given ...
Groenen, P.J.F., Winsberg, S.
core +1 more source
Fluorinated N‐oxide aza‐BODIPY nanoemulsions integrate fluorination‐driven molecular design with co‐assembly in fluorinated oil for multimodal imaging‐guided phototherapy. The co‐assembly redshifts fluorescence into the NIR‐II window for deep‐tissue imaging and provides a unified 19F signal for background‐free, quantitative MRI.
Anfeng Li +5 more
wiley +1 more source

