Results 91 to 100 of about 45,243 (310)
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Ecology of Malaria Vectors in a Rainforest Suburban Community of Nigeria
, 2011 The ecology of malaria vectors in a suburban community of Umudioka,Dunukofia Local Government Area (LGA), Anambra State was studiedbetween May and July 2009.
Onyido, AE +7 more
core +1 more source
Modeling disease vector occurrence when detection is imperfect: infestation of Amazonian palm trees by triatomine bugs at three spatial scales. [PDF]
, 2010 BACKGROUND: Failure to detect a disease agent or vector where it actually occurs constitutes a serious drawback in epidemiology. In the pervasive situation where no sampling technique is perfect, the explicit analytical treatment of detection failure ...
Mario J Grijalva +27 more
core +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
IMPACT OF HOUSE DESIGN ON THE ENTRY AND EXIT OF INSECT DISEASE VECTORS IN THE GAMBIA [PDF]
, 2010 The impact of house design on the entry and exit of insect vectors of disease in The Gambia House design may affect the exposure of the residents to vector-borne diseases in rural areas in Africa.
NJIE, MBYE
core
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
Advanced Intelligent Systems, EarlyView.An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Revista de Saúde PúblicaDescription of Lutzomyia robusta, n. sp. (Diptera, Psychodidae, Phlebotominae) from interandean areas of Peru and Equador. Lutzomyia robusta, n. sp., probable vector of human bartonellosis and cutaneous leishmaniasis, is described and illustrated.
Eunice A. Bianchi Galati +2 more
doaj
The ecology and genetics of Chagas disease vectors in Ecuador, with emphasis on Rhodnius ecuadoriensis (Hemiptera : Reduviidae : Triatominae) [PDF]
An estimate >11 million people are infected by Trypanosoma cruzi in Latin America. Chagas disease control programmes have been successful in the Southern Cone countries, and similar initiatives are underway in the Andean ...
Abad-Franch, Fernando
core +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
Advanced Intelligent Systems, EarlyView.This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source
Revista de Saúde PúblicaINTRODUÇÃO: Nas Américas, Lutzomyia longipalpis tem sido incriminada como vetora da leishmaniose visceral em, praticamente, todas as áreas de ocorrência dessa parasitose.
Eunice A. B. Galati +4 more
doaj