Results 131 to 140 of about 823,925 (294)
Reverse logistics research of municipal hazardous waste: a literature review. [PDF]
Xin C +5 more
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Sustainable Development of Green Reverse Logistics Based on Blockchain.
Wu Z, Zhao Z.
europepmc +1 more source
Designing dynamic reverse logistics network for post-sale service. [PDF]
Mishra S, Singh SP.
europepmc +1 more source
PROCESSING REVERSE LOGISTICS INVENTORIES
Developed logistics systems have organized reverse logistics flows and are continuously analyzing product returns, tending to detect patterns in oscillations of returning products in certain time periods. Inventory management in reverse logistics systems depends on different criteria, regarding goods categories, formed contracts between subjects of ...
Bajor, Ivona +2 more
openaire +2 more sources
The Model of Reverse Logistics, Based on Reliability Theory, with Elements' Rejuvenation [PDF]
Reverse logistics understood as the process of managing reverse flow of materials, in-process inventory, finished goods and related information has become one of the logisticians’ key areas of interest.
Jodejko-Pietruczuk, Anna; Wroclaw University of Technology +1 more
core
ABSTRACT Breast cancer remains one of the most prevalent malignancies among women, and taxane‐based chemotherapies such as paclitaxel and docetaxel are central to standard treatment regimens. However, drug resistance in breast cancer limits therapeutic efficacy and contributes to recurrence and metastasis.
Kai Wang +7 more
wiley +1 more source
Integrative multi‐omics analysis delineates a mitochondrial–immune axis governing neoadjuvant chemotherapy response in high‐grade serous ovarian cancer. Immune‐active tumors exhibit enhanced B‐cell infiltration and favorable sensitivity, whereas metabolically rewired tumors display oxidative phosphorylation dependency and resistance.
Wei Jiang +11 more
wiley +1 more source

