Human Systems Integration (HSI) is the collection of interdisciplinary technical and management processes for integrating human considerations within and across all system elements. This discipline seeks to treat humans as equally important to system design as are other system elements, such as hardware and software. HSI has been defined by many stakeholders, particularly government agencies th...

As a new machine learning approach, the extreme learning machine (ELM) has received much attention due to its good performance. However, when directly applied to hyperspectral image (HSI) classification, the recognition rate is low. This is because ELM does not use spatial information, which is very important for HSI classification. In view of this, this paper proposes a new framework for the s...

INTRODUCTION High quality sputum helps increase the sensitivity of the diagnosis of pulmonary tuberculosis. OBJECTIVES To evaluate the efficiency of the acoustic device (Lung Flute; LF) in sputum induction compared with the conventional method, hypertonic saline inhalation (HSI). METHODS In this crossover study, patients with presumed pulmonary tuberculosis submitted 3 consecutive sputa: th...

Classification of hyperspectral image (HSI) is an important research topic in the remote sensing community. Significant efforts (e.g., deep learning) have been concentrated on this task. However, it is still an open issue to classify the high-dimensional HSI with a limited number of training samples. In this paper, we propose a semi-supervised HSI classification method inspired by the generativ...

This paper addresses the problem of contextual hyperspectral image (HSI) classification. A novel conditional random fields (CRFs) model, known as higher order support vector random fields (HSVRFs), is proposed for HSI classification. By incorporating higher order potentials into a support vector random fields with a Mahalanobis distance boundary constraint (SVRFMC) model, the HSVRFs model not o...

INTRODUCTION The Heaviness of Smoking Index (HSI) is validated to measure nicotine dependence in nonpregnant smokers, and in these smokers, mean salivary and serum cotinine levels are related by a ratio of 1.25. However, as nicotine metabolism increases during gestation, these findings may differ in pregnancy. We investigated the validity of HSI in pregnancy by comparing this with 3 biochemical...

Data fusion techniques require a good registration of all the used datasets. In remote sensing, images are usually geo-referenced using the GPS and IMU data. However, if more precise registration is required, image processing techniques can be employed. We propose a method for multi-modal image coregistration between hyperspectral images (HSI) and digital surface models (DSM). The method is div...

A DNA-bineting protein (about lOkDa and pI>9.7) of Streptomyces lividans TK24 was purified on a denatured DNA-Cellulose column, and then on a native DNA-Cellulose column. The N-terminal amino acid sequence of this protein had high homology with those of small basic DNA-binding proteins known as histone-like proteins. Thus, this protein was designated HSI (histone-like protein of ::J.. lividans)...

This paper explores the effects of spatial resolution on the performance and applicability of habitat models in wildlife management and conservation. A Habitat Suitability Index (HSI) model for the Capercaillie (Tetrao urogallus) in the Bavarian Alps, Germany, is presented. The model was exclusively built on non-spatial, small-scale variables of forest structure and without any consideration of...

OBJECTIVE Sayana® Press,(1) a new subcutaneous formulation and presentation of a popular injectable contraceptive, has the potential to expand non-clinic access to contraception, including home and self-injection (HSI). This study collected information from potential users and stakeholders on their perceptions and preferences, the feasibility of an HSI of Sayana Press program and key policy con...