Results 181 to 190 of about 19,676 (308)

TOLLIP Inhibits Psoriasis Progression via Suppressing PKM2‐Mediated Glycolysis in Keratinocytes

Advanced Science, EarlyView.
In this study, we identify TOLLIP as a critical regulator of psoriasis pathogenesis through its modulation of glycolytic metabolism. Our findings establish the TOLLIP‐PKM2‐glycolysis axis as a key mechanism linking metabolic reprogramming to psoriasis pathogenesis, and propose TOLLIP as a promising therapeutic target.
Xiuhuan Jiang, Guoying Miao, Na Shen, Qingxia Han, Xiaoru Han, Zichang Qiao, Kexin Feng, Zhuo Tan, Yaguang Wang, Xiuhua Liu, Chen Wu, Zhenzhen Yan   +11 more
wiley   +1 more source

Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]

Sensors (Basel)
Inoue H, Komura T, Hashimoto I.
europepmc   +1 more source

BIN1 and ALDH1B1 Deficiency in Colonic Smooth Muscle Drives Mitochondrial Dysfunction and Fibrosis in Slow‐Transit Constipation

Advanced Science, EarlyView.
Slow‐transit constipation (STC) is a disabling motility disorder with unclear smooth‐muscle mechanisms. Spatial proteomic analysis of STC patient colon reveals both the central pathogenic role of smooth muscle cells (SMCs) in STC and novel regulators of intestinal motility, BIN1 and ALDH1B1.
Jianbo Liu, Hao Zhang, Wenhao Qiao, Ran Liu, Jie Sun, Xiaopei Li, Qin Li, Dongbo Zhao, Dawei Chen, Jingxin Li, Shuxiao Dong   +10 more
wiley   +1 more source

Superconducting artificial neural networks and quantum circuits. [PDF]

Beilstein J Nanotechnol
Sidorenko AS.
europepmc   +1 more source

Single‐Cell Transcriptomic Analysis of Tumor Heterogeneity and the Microenvironment in Pseudomyxoma Peritonei

Advanced Science, EarlyView.
This study presents a single‐cell atlas of pseudomyxoma peritonei spanning primary and paired metastatic lesions. Distinct epithelial substates, stromal remodeling, immune exclusion, lipid metabolic reprogramming, and a candidate angiogenic network were identified in metastatic lesions.
Xi Li, Lei Wang, Lei Ai, Zimeng Li, Zhaochangci Chen, Yuchen Luo, Tianran Zhang, Mengjia Liao, Songhao Wang, Jiajia Cui, Ke Liu, Chengxian Guo, Guodong Liu, Jiye Yin, Wei Wu   +14 more
wiley   +1 more source

From analogy-making to modelling : the history of analog computing as a modelling technology [PDF]

Today, modern computers are based on digital technology. However, during the decades after 1940, digital computers were complemented by the separate technology of analog computing.
Care, Charles
core  

Distributed trust-driven intelligence for edge-level prediction in mobile industrial internet of things. [PDF]

Sci Rep
Jan Z, Siraj M, Haseeb K, Alsaif SA, Din S.   +4 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Estimating cross-border cloud computing emissions: A consumption-based approach applied to major European data center hubs. [PDF]

iScience
Soares IV, Furberg A, Azizi S, Finnveden G, Yarime M, Klemun MM.   +5 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source