Results 101 to 110 of about 7,528,176 (292)

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations

, 2022
Cold start is an essential and persistent problem in recommender systems. State-of-the-art solutions rely on training hybrid models for both cold-start and existing users/items, based on the auxiliary information. Such a hybrid model would compromise the
Huang, Xiao, Chen, Hao, Huang, Feiran, Wang, Zefan, Xu, Yue   +4 more
core  

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Mitigating Cold Start Problem in Microservice Auto-scaling on Kubernetes

, 2021
With the advent of the cloud-native paradigm, the software development and deployment style has significantly reformed. An increasing number of enterprises are migrating their microservice applications onto Kubernetes, a production-grade container ...
Huang, Guangzhe (author)
core  

Overcoming Drug Resistance by Paclitaxel Resistance in Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
In the murine triple‐negative breast cancer (TNBC) model, chemotherapy effectively increases tumor neoantigen burden (TNB). Here, the study constructs a liposomal nanovaccine using antigens derived from in vitro chemotherapy‐treated paclitaxel‐resistant TNBC 4T1 cells.
Bo Chen, Yangyi Wang, Tingting Li, Changqing Guo, Zhe Xie, Zhixian Zhang, Xinghua Han, Wei Wang, Jian Wang, Xiaopeng Ma, Yuanzeng Min   +10 more
wiley   +1 more source

Session similarity based approach for alleviating cold-start session problem in e-commerce for top-n recommendations

, 2020
Cold-Start problem is one of the main challenges for the recommender systems. There are many methods developed for traditional recommender systems to alleviate the drawback of cold-start user and item problems.
Esmeli, Ramazan, Abdullahi, Hassana, Bader-El-Den, Mohamed   +2 more
core  

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source

Defect‐Engineered BiO2‐X Nanosheets Mediate Sono‐Thermomechanical ECM Remodeling for Hepatocellular Carcinoma Immunotherapy

Advanced Science, EarlyView.
Herein, an ultrasound‐responsive BiO2‐X/siFn1 nanoplatform is developed to overcome anti‐PD‐1 resistance in hepatocellular carcinoma. Upon ultrasound irradiation, the platform downregulates fibronectin expression, while its sonothermal effect softens the dense extracellular matrix and activates antitumor immunity in the tumor microenvironment, thereby ...
Huimin Tian, Shen Zhang, Bolin Wu, Yichi Chen, Haitao Shang, Haoyan Tan, Chunyue Wang, Weichen Xu, Huixiong Xu, Haohao Yin, Wen Cheng   +10 more
wiley   +1 more source

The cold start problem in algorithm-based CRM: Kickstarting network effects by pvercoming replacement threats

, 2023
Algorithm-based CRM (ACRM) technologies use advances in AI technology to enhance predictive functions for the sales force. Despite high hopes for increasing sales productivity, ACRM initiatives often fail.
Vomberg, Arnd, Oproiescu, Alexandru, Alavi, Sascha   +2 more
core   +1 more source

A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation

Data Science and Engineering
The cold-start problem in recommender systems has been facing a great challenge. Cross-domain recommendation can improve the performance of cold-start user recommendations in the target domain by using the rich information of users in the source domain ...
Yufang Liu, Shaoqing Wang, Xueting Li, Fuzhen Sun   +3 more
doaj   +1 more source

A Microenvironment‐Adaptive Scaffold Rejuvenates Peripheral Nerve Regeneration During Aging Via Dual Modulation of Ferroptotic Stimuli in Schwann Cells

Advanced Science, EarlyView.
(i) Aging impairs peripheral nerve regeneration via its dual ferroptosis‐mediated pathologies in senescent schwann cells. (ii) The composite nerve conduit is a symbiosis niche integrating microenvironment‐responsive nanoparticles (Ga‐PTAs) and maxillofacial‐derived mesenchymal stem cells (Mmscs).
Ning Zhan, Lixin Tian, Lianjie Peng, Jingyu Zhang, Lining Lin, Xiaoting Zhang, Yaxian Luo, Zhichao Liu, Xinhua Yao, Mouyuan Sun, Yong He, Mengfei Yu, Huiming Wang   +12 more
wiley   +1 more source