Results 81 to 90 of about 8,911 (282)

Functional Suppression of SCAP Triggers Endoplasmic Reticulum Stress‐Dependent Ferroptosis by Impairing Cholesterol Metabolism in Gastric Cancer

Advanced Science, EarlyView.
This study reveals a novel GC therapy targeting cholesterol homeostasis. Inhibiting the SCAP sterol‐sensing domain causes lethal ER stress via cholesterol accumulation, paradoxically forcing continuous synthesis that triggers ferroptosis. The findings link sterol sensing, metabolic dysregulation, and ferroptosis, establishing an anti‐cancer paradigm ...
Qianqian Xu, Guangzhao Pan, Lele Zhang, Xiangliu Chen, Kui Zhang, Yang Lu, Zibo Duan, Aiping Chen, Hailong Shen, Yuxi Zhang, Xiaowu Dong, Jinzhou Huang, Xing Huang, Kai Miao, Qian Hua, Fangfang Tao, Weidong Zhang, Jiang‐Jiang Qin   +17 more
wiley   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

A penalty-based genetic algorithm for the migration cost-aware virtual machine placement problem in cloud data centers

, 2015
In the past few years, the virtual machine (VM) placement\ud problem has been studied intensively and many algorithms for the VM placement problem have been proposed.
Sarker, Tusher Kumer, Tang, Maolin, Maolin Tang, Tusher Kumer Sarker   +3 more
core   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Server Consolidation Based on Culture Multiple-Ant-Colony Algorithm in Cloud Computing

Sensors, 2019
High-energy consumption in data centers has become a critical issue. The dynamic server consolidation has significant effects on saving energy of a data center.
Chunmiao Yuan, Xuemei Sun
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm. [PDF]

Sensors (Basel), 2023
Kaur A, Kaur A, Kumar S, Gupta D, Hamid Y, Hamdi M, Ksibi A, Elmannai H, Saini S.   +8 more
europepmc   +1 more source

Allocation and Migration of Virtual Machines Using Machine Learning [PDF]

Computers, Materials & Continua, 2022
Talwani, Suruchi, Alhazmi, Khaled, Singla, Jimmy, Alyamani, Hasan J, Bashir, Ali Kashif   +4 more
openaire   +2 more sources

Analisis dan Implementasi Virtual Machine Migration pada Server untuk layanan berbasis Cloud Computing secara dinamis [PDF]

, 2012
ABSTRAKSI: Pada sebuah layanan cloud computing, kualitas layanan yang baik membutuhkan penyesuaian terhadap jumlah pengguna dan tingkatan komputasi dari layanan tersebut.
Evan Varian
core