american foulbrood (afb) is the most serious brood disease of the honey bee. traditional methods are reliable but rather slow simply because they are based on biochemical, morphological and physiological identification of cultivated isolates. the aim of this study is the detection of paenibacillus larvae larvae spores in honey and diseased larvae samples by culture and pcr. therefore 54 samp...

Newcastle disease virus (NDV), avian influenza virus (AIV), and infectious bronchitis virus (IBV) are the most prevalent viral pathogens in the Iranian poultry industry. This study aimed to reveal the presence of these viruses in the backyard chickens in Ahvaz, located in the Southwest of Iran. A total of 100 chickens with respiratory signs and mortality were examined by taking the blood sample...

The purpose of this work is to improve intrusion detection techniques by developing a more general framework and infrastructure for detecting system penetrations through new event correlation strategies. Unlike traditional misuse and anomaly detection architectures, we propose a novel approach where information is gathered at multiple layers within the computing system and analyzed according to...

The dictionary of local image features, or Bag of Features (BoF), has shown impressive results in the field of object detection and classification. In this paper we present an object detection system using a BoF approach. Images in the system are encoded in the form of normalized histograms of feature occurrences extracted using the dictionary. The count in bucket k of the histogram represents ...

We present FRAPpuccino (or FRAP), a provenancebased fault detection mechanism for Platform as a Service (PaaS) users, who run many instances of an application on a large cluster of machines. FRAP models, records, and analyzes the behavior of an application and its impact on the system as a directed acyclic provenance graph. It assumes that most instances behave normally and uses their behavior ...

Does knowing what one is about to see make it easier to see it? The answer may depend on the source of the knowledge. Participants completed an object detection task in which they made an object-presence or -absence decision to brieflypresented letters. Hearing the letter name prior to the detection task facilitated detection (d’), but seeing a preview of the to-be-detected stimulus did not. Fo...

This paper proposes a new mixed-integer model for the multi-skill resource-constrained project scheduling problem (MSRCPSP). The interactions between workers are represented as undirected networks. Therefore, for each required skill, an undirected network is formed which shows the relations of human resources. In this paper, community detection in networks is used to find the most compatible wo...

Self-reported measures of dietary intake are prone to measurement error that may obscure the relationship of diet and disease. This review addresses strategies to decrease errors during collection of dietary data and statistical approaches to deal with measurement issues once the data are collected.  Examples from two US studies-- the Women’s Health Initiative (WHI) Dietary Modificat...

Background: Once COVID-19 is transmitted, the corresponding civil responsibility should be clarified by the identification of the transmitter, compensation of the damage and detection of the causal relationship between the damage or harm and the harmful act.    Methods: This research has been prepared by descriptive analytical method and its data has been collected by documentary library tools...

Contemporary CEMIS do not cope with requirements from the sustainability discussion. At the time of reporting environmental performance, it is too late to set the right course. Without an early identification of cause and effect to anticipate environmental impacts of decisions for timely intervention, potentials for acting precautious remain unemployed. A resource-friendly design of processes a...