Results 81 to 90 of about 617,742 (295)

Non-Intrusive Load Monitoring Based on Dimensionality Reduction and Adapted Spatial Clustering

Energies
Non-invasive load monitoring (NILM) deduces changes in energy consumption patterns and operational statuses of electrical equipment from power signals in the feed line.
Xu Zhang, Jun Zhou, Chunguang Lu, Lei Song, Fanyu Meng, Xianbo Wang   +5 more
doaj   +1 more source

The DBSCAN Clustering Algorithm on P Systems [PDF]

, 2019
We show how to implement the DBSCAN clustering algorithm (Density Based Spatial Clustering of Applications with Noise) on membrane systems using evolution rules with promoters and ...
Research Group on Natural Computing (Coordinador), Vaszil, György   +1 more
core  

NKCC1: A key regulator of glioblastoma progression

Molecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen, Diana Freitag, Madlen Haase, Christian Senft, Falko Schwarz, Silke Keiner   +5 more
wiley   +1 more source

Spatial non-parametric Bayesian clustered coefficients

Scientific Reports
AbstractIn the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial. In this paper, we synthesise a number of existing methods to create a new approach that specifically addresses this goal.
Areed, Wala Draidi, Price, Aiden, Thompson, Helen, Malseed, Reid, Mengersen, Kerrie   +4 more
openaire   +5 more sources

Engineering tandem VHHs to target different epitopes to enhance antibody‐dependent cell‐mediated cytotoxicity

FEBS Open Bio, EarlyView.
Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu, Hao Jiang, Limin Chen, Fulai Zhou, Ying Jin, Mark L. Chiu   +5 more
wiley   +1 more source

Dual Clustering-Based Method for Geospatial Knowledge Graph Partitioning

Applied Sciences
Geospatial knowledge graphs provide critical technology for integrating geographic information and semantic knowledge, which are very useful for geographic data analysis.
Yuxuan Chen, Feifei Ou, Qiliang Liu, Gusheng Wu, Kaiqi Chen, Min Deng, Meihua Chen, Rui Xu   +7 more
doaj   +1 more source

Assessing clustering methods for exploratory spatial data analysis [PDF]

Exploratory spatial data analysis continues to be an important area of research. The use and application of clustering methods for the analysis of spatially referenced data is beginning to show some promise.
Alan Murray
core  

KLK7 overexpression promotes an aggressive phenotype and facilitates peritoneal dissemination in colorectal cancer cells

FEBS Open Bio, EarlyView.
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani, Tobias Dreyer, Meriem Naim, Rea Lo Dico, Natalia A. Ignatenko, Viktor Magdolen, Dalila Darmoul   +6 more
wiley   +1 more source

Molecular epidemiological and spatiotemporal analysis of lumpy skin disease outbreaks in cattle from Karnataka, India

Frontiers in Cellular and Infection Microbiology
IntroductionLumpy Skin Disease (LSD), is a re-emerging transboundary disease of cattle, which has severely impacted India’s livestock population. This study investigates its molecular epidemiology, spatial patterns, and risk factors in Karnataka from ...
Manjunatha Reddy Gundallahali Bayyappa, Chandana Ramesh Uma, Shraddha Bijalwan, Sunil Tadakod, Sudeep Nagaraj, Megha Naragund, Sai Mounica Pabbineedi, Chethan Kumar Harlipura Basavarajappa, Baldev Raj Gulati   +8 more
doaj   +1 more source

Spatial clustering method for geographic data [PDF]

, 2001
In the process of visualizing quantitative spatial data, it is necessary to classify attribute values into some class divisions. In a previous paper, the author proposed a classification method for minimizing the loss of information contained in ...
Osaragi, Toshihiro
core   +1 more source