A5055677915- Lepidoptera: Biology and Taxonomy
- Plant and animal studies
- Insect Pheromone Research and Control
- Evolutionary Algorithms and Applications
- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Data Mining Algorithms and Applications
- Insect and Arachnid Ecology and Behavior
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Frailty in Older Adults
- Biological Control of Invasive Species
- Geriatric Care and Nursing Homes
- Species Distribution and Climate Change
- Rough Sets and Fuzzy Logic
- Botany and Geology in Latin America and Caribbean
- Chronic Disease Management Strategies
- COVID-19 Clinical Research Studies
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Dementia and Cognitive Impairment Research
- Advanced Database Systems and Queries
- Machine Learning and Algorithms
- Long-Term Effects of COVID-19
- Hymenoptera taxonomy and phylogeny
George Mason University
2015-2024
Stevens Institute of Technology
2022
Lancet Laboratories
2022
Virginia Commonwealth University
2022
Shell (Netherlands)
2022
Georgetown University
2019
Jagiellonian University
2002-2014
Bay Pines VA Healthcare System
2014
Institute of Systematics and Evolution of Animals
2011-2013
Michalski Huettermann and Partner
2008
Samplings of Pronophilina, a species-rich group neotropical montane butterflies, were carried out along an elevational transect in Ecuador to assess the effect altitude on their distribution patterns, diversity and community structure. All indices significantly correlated with altitude. Maximum expressed species-richness, Shannon index Fisher alpha was recorded at 2600 m. Two assemblages species identified lower (below 2100 m) upper (above 2300 sections by means correspondence (CA) cluster...
Abstract Aim The distribution of neotropical butterflies the tribe Pronophilini (Lepidoptera, Satyridae) was analysed with aim determining (i) elevational ranges each species (ii) gradient in diversity, and (iii) existence parapatric distributions some closely related pairs. Location field study carried out middle upper section valley Río Albarregas, a tributary Chama on southern slopes Serranía de la Culata, central part Cordillera Mérida, Venezuela. Methods material collected along an...
Abstract We report numerous cases of capture and/or retrieval very large prey by workers the African weaver ant, Oecophylla longinoda (Latreille 1802), observed in Cameroon, Nigeria and Zaire. describe also remains vertebrate found nests O. South Cameroon. Retrieval was exclusively large, mature colonies longinoda, occupying solitary trees or bushes groups trees. As a rule, were transported whole. demonstrated field laboratory tests, insects most efficiently while hunting manner army ants....
This study summarizes the experiences of patients, who have multiple comorbidities, with 15 mono-treated antidepressants.This is a retrospective, observational, matched case control study. The cohort was organized using claims data available through OptumLabs for depressed patients treated antidepressants between January 1, 2001 and December 31, 2018. included from all states within United States America. analysis focused on 3,678,082 major depression had 10,221,145 antidepressant...
The AQ21 program aims to perform natural induction, a process of generating inductive hypotheses in human-oriented forms that are easy interpret and understand. This is achieved by employing highly expressive representation language, attributional calculus, whose statements resemble language descriptions. paper focuses on the pattern discovery mode AQ21, which produces rules capture strong regularities data, but may not be fully consistent or complete with regard training data. integrates...
Abstract Background Assessment of functional ability, including activities daily living (ADLs), is a manual process completed by skilled health professionals. In the presented research, an automated decision support tool, Computational Barthel Index Tool (CBIT), was constructed that can automatically assess and predict probabilities current future ADLs based on patients’ medical history. Methods The data used to construct tool include demographic information, inpatient outpatient diagnosis...
This article describes methods and accuracy of predicting change in activities daily living (ADLs) for nursing home patients following hospitalization. Electronic Health Record data 5,595 residents Veterans Affairs' (VAs') Community Living Centers (CLCs) aged 70 years older were analyzed within the VA Informatics Computing Infrastructure. Data included diagnoses from 7,106 inpatient records, 21,318 functional status evaluations, 69,140 diagnoses. The Barthel Index extracted CLC's Minimum Set...
This study provides benchmarks for likelihood, number of days until, and sequence functional decline recovery. We analyzed activities daily living (ADLs) 296,051 residents in Veteran Affairs nursing homes between January 1, 2000 October 9, 2012. ADLs were extracted from standard minimum data set assessments. Because significant overlap short- long-stay residents, we did not distinguish these populations. Twenty-five combinations ADL deficits described the experience 84.3% all residents. A...
Abstract Purpose of the Study This study compares hospitalization rates for common conditions in Veteran Affairs (VA) Medical Foster Home (MFH) program to VA nursing homes, known as Community Living Centers (CLCs). Design and Methods We used a nested, matched, case control design. examined 817 MFH residents matched each 3 CLC selected from pool 325,031. cases were on (a) baseline time period, (b) follow-up (c) age, (d) gender, (e) race, (f) risk mortality calculated comorbidities, (g)...
Background: Accurate prediction of mortality for patients admitted to the intensive care units (ICUs) is an important component medical care. However, little known about role multimorbidity in predicting end life high-risk and vulnerable patients. Objective: The aim study was derive validate a risk model attempt predict all-cause at 6 12 months posthospital discharge. Methods: This retrospective, observational, clinical cohort study. Data were collected on 442,692 ICU who received through...
This study uses two existing data sources to examine how patients’ symptoms can be used differentiate COVID-19 from other respiratory diseases. One dataset consisted of 839,288 laboratory-confirmed, symptomatic, positive cases reported the Centers for Disease Control and Prevention (CDC) March 1, 2019, September 30, 2020. The second provided controls included 1,814 laboratory-confirmed influenza positive, symptomatic cases, 812 with influenza-like-illnesses. were Influenza Research Database...
Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide processes. Its main novelty are new type operators for creating individuals, specifically, hypothesis generation, which learns rules indicating subareas in the search space likely contain optimum, and instantiation, populates these subspaces with individuals. This paper briefly describes newest most advanced implementation learnable evolution, LEM3, its novel features,...
Background Although Pinterest has become a popular platform for distributing influential information that shapes users’ behaviors, the role of recipes pinned on in these behaviors is not well understood. Objective This study aims to explore patterns food ingredients and nutritional content posted examine factors associated with engage more users. Methods Data were collected from between June 28 July 12, 2020 (207 2818 comments). All samples via 2 new user accounts no search history. A...
Loss of daily living functions can be a marker for end life and possible hospice eligibility. Unfortunately, data on patient's functional abilities is not available in all settings. In this study we compare predictive accuracy two indices designed to predict 6-month mortality among nursing home residents. One based traditional measures deterioration the other patients' diagnoses demography.We created Hospice ELigibility Prediction (HELP) Index by examining 140,699 Veterans Administration...
Abstract Heat exchanger performance is strongly influenced by the refrigerant circuitry, i.e., connection sequence of tubes. This article describes an evolutionary computation-based approach for designing optimized circuitry used in intelligent system heat design. The technique this design employs two methods to generate designs implemented separately modules: knowledge-based computation module and symbolic-learning-based module. optimization example presented employed each independently...
Bio-ontologies are becoming increasingly important in knowledge representation and the machine learning (ML) fields. This paper presents a ML approach that incorporates bio-ontologies its application to SEER-MHOS dataset discover patterns of patient characteristics impact ability perform activities daily living (ADLs). used provide computable for methods "understand" biomedical data. retrospective study included 723 cancer patients from dataset. Two were applied create predictive models ADL...
This prospective phase II clinical trial (Side Out 2) explored the benefits of treatment selection informed by multi‐omic molecular profiling (MoMP) in refractory metastatic breast cancers (MBCs). Core needle biopsies were collected from 32 patients with MBC at enrollment. Patients had received an average 3.94 previous lines setting before enrollment this study. Samples underwent MoMP, including exome sequencing, RNA sequencing (RNA‐Seq), immunohistochemistry, and quantitative protein...