Results 61 to 70 of about 407,626 (289)

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Use several tests on the residual with control panel X to diagnose equation error models [PDF]

مجلة التربية والعلم, 2018
In this research several models were matched of dynamic linear systems of the equation error models which included ARMAX and ARX  and applied using stationary  on a series of inputand output series.
Helaaa Abdulmajeed
doaj   +1 more source

Oil‐Coated Nanoplastics Induce Rapid Membrane Disruption and Severe Intestinal Injury

Advanced Science, EarlyView.
Oil‐rich food contact dramatically amplifies MNP release from plastic takeout containers, producing oil‐coated nanoplastics with altered surface properties and rapid membrane‐disruptive effects. These particles cause severe intestinal barrier damage and immune dysfunction in mice, and risk modeling suggests that long‐term gastrointestinal burdens may ...
Ruwen Xie, Gulimire Yilihan, Qiong Chen, Dachuan Lin, Zhen Liu, Mengyi Yuan, Yujia Wang, Haoteng Xu, Weishang Zhou, Wanxin Gong, Yueer Li, Chen Peng, Tong Yang, Peng Gao, Qing Liu, Xin‐Hua Feng, Mu Xiao, Chao Jiang   +17 more
wiley   +1 more source

Neurofibromatosis type 1: Surgical Perspectives

The Annals of African Surgery, 2011
Introduction: Neurofibromatosis type 1 (NF1) affects about 1 in 3000 people. The indications for surgical intervention in patients with NF1 are not always clear-cut.
Nthumba PM, MMed(Surg),FCS(ECSA), Plastic Surgery Fellowship, Juma PI, MMed(Surg)   +1 more
doaj  

HIV viral load suppression and associated factors among PLHIV with non-communicable diseases in Uganda’s Teso Region: a cross-sectional retrospective study

AIDS Research and Therapy
Background As Uganda scales up integrated chronic care, understanding viral load suppression (VLS) among people living with HIV (PLHIV) with non-communicable diseases (NCDs) is critical for optimizing service delivery.
Bonniface Oryokot, Saadick Mugerwa Ssentongo, Abraham Ignatius Oluka, Timothy Otaala, Halima Sairo, Abel Muniina, Denis Jacob Olweny, Baker Bakashaba, Antonio Rodriguez Andres   +8 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Adaptive Information Cluster at Dublin City University [PDF]

, 2007
The Adaptive Information Cluster (AIC) is a collaboration between Dublin City University and University College Dublin, and in the AIC at DCU, we investigate and develop as one stream of our research activities, various content analysis tools that can ...
Byrne, Daragh, Lee, Hyowon, McGivney, Sinéad, Smeaton, Alan F.   +3 more
core  

The reliability of the AIC method in Cosmological Model Selection

, 2012
The Akaike information criterion (AIC) has been used as a statistical criterion to compare the appropriateness of different dark energy candidate models underlying a particular data set.
Akaike, Akaike, Astier, Balasubramanian, Barron, Biesiada, Biesiada, Biesiada, Björck, Blake, Burnham, Carroll, Chevallier, Cover, Davis, Deffayet, Dvali, Efron, Fisher, Freedman, Frieman, Garnavich, Godłowski, Hicken, Hicken, Jeffreys, Kessler, Knop, Liddle, Liddle, Liddle, Liddle, Liddle, Linder, LSST Science Collaborations and LSST Project, M. Y. J. Tan, Miknaitis, Perlmutter, Rahul Biswas, Ratra, Riess, Riess, Riess, Schrabback, Schwarz, Shimodaira, Sollerman, Szydłowski, Szydłowski, Tonry, Trotta, Trotta, Wetterich, Wood-Vasey, Zhao, Zlatev   +55 more
core   +1 more source

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

Model Selection Criteria for the Leads-and-Lags Cointegrating Regression [PDF]

In this paper, Mallows'(1973) Cp criterion, Akaike's (1973) AIC, Hurvich and Tsai's (1989) corrected AIC and the BIC of Akaike (1978) and Schwarz (1978) are derived for the leads-and-lags cointegrating regression.
Choi, In, Kurozumi, Eiji
core   +3 more sources