Results 101 to 110 of about 173,310,524 (306)
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang +10 more
wiley +1 more source
Damage has to be quantified in civil structures to assess their seismic performance and risk and loss on a regional scale. Fragility curves have proved to be suitable for coping with randomness inherent in such an issue. Recently, the cognitive source of
Felice Colangelo, COLANGELO, Felice
core +1 more source
Modeling Words for Qualitative Distance Based on Interval Type-2 Fuzzy Sets
Modeling qualitative distance words is important for natural language understanding, scene reconstruction and many decision support systems (DSSs) based on a geographic information system (GIS).
Jifa Guo, Shihong Du
doaj +1 more source
Spatiotemporal Multi‐Omic Mapping Reveals Liver‐Muscle Metabolic Crosstalk in Cancer Cachexia
The interactive CCAtlas platform delineates cross‐species, spatiotemporal, and sex‐specific molecular dynamics and metabolic rewiring across organs during cancer cachexia. Hepatic Gamt downregulation curtails hepatic creatine synthesis to trigger systemic creatine insufficiency and consequent skeletal muscle atrophy in LLC tumour‐bearing mice ...
Zihan Tian +12 more
wiley +1 more source
A hierarchically selective immunotherapeutic nanoplatform, mGls@HEV‐MTP, selectively restores macrophage immunocompetence through GLS1‐mediated restoration of glutaminolysis‐fueled anaplerosis. Concurrently, it renders Staphylococcus aureus (S. aureus) more readily recognizable to the metabolically reprogrammed macrophages, thereby facilitating ...
Weinan Yang +17 more
wiley +1 more source
A Review of Cluster Validation with an Example of Type-2 Fuzzy Application in R
Interval valued type-2 fuzziness can be represented by means of membership functions obtained with upper and lower values of the level of fuzziness. These upper and lower values for the level of fuzziness in FCM algorithm were obtained in our previous ...
Özkan, İ. +3 more
core +1 more source
Improved TOPSIS and CRITIC Methods for Failure Mode and Effects Analysis Based on Z-Number Theory
Failure mode and effects analysis (FMEA), as a means of identifying, preventing, and controlling potential system failures, has been widely applied in many industries. However, the classic FMEA method has several drawbacks in practical applications, such
Daijun Deng +5 more
doaj +1 more source
The theory of Pythagorean fuzzy sets possesses significant advantages in handling vagueness and complex uncertainty. Additionally, Pythagorean fuzzy information is useful to simulate the ambiguous nature of subjective judgments and measure the fuzziness ...
Jih-Chang Wang, Ting-Yu Chen
doaj +1 more source
A biomimetic force‐electric nanotentacle‐enabled tantalum (Ta) implant with surface‐nanostructured LiTaO3 (n‐LiTaO3) was first developed via laser nanofabrication combined with Li+‐induced in situ reaction, enabling the transduction of ultrasound into bioelectrical cues.
Taixing Zhang +15 more
wiley +1 more source
Medical Pattern Recognition: Applying an Improved Intuitionistic Fuzzy Cross-Entropy Approach
One of the toughest challenges in medical diagnosis is the handling of uncertainty. Since medical diagnosis with respect to the symptoms uncertain, they will be assumed to have an intuitive nature.
Kuo-Chen Hung
doaj +1 more source

