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Since last one decade efforts have been made in detection and quantification of various plant pathogens e.g. Macrophomina phaseolina [ 33], Phytoplasma [ 34], different Fusarium species [ 35], Phytophthora species [ 29].
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Work has been made in link detection on weighted networks [45 47], bipartite networks [44, 48, 49] and signed social graphs [50].
Over the past decades, substantial progress has been made in fault detection and diagnosis (FDD) and fault tolerant control (FTC) research.
While significant progress has been made in the detection of small numbers of proteins [1] [3] and in miniaturizing reaction volumes [4], these methods require specific antibodies and usually increase time and cost of an assay.
Although progress has been made in the detection of melanoma it still poses a challenge.
In recent years, substantial progress has been made in the detection and diagnosis of early stage cancers.
3– 37 Although progress has been made in the detection of melanoma it still poses a challenge, especially in its earlier stages.
Great advancements have been made in automatic detection of airborne particles, particularly in the fields of bio-warfare and homeland security.
Over the past decade, significant progress has been made in BoNT detection technologies, including mouse lethality assays, enzyme-linked immunosorbent assays, and endopeptidase assays and by mass spectrometry.
Since the trial era and the start of service screening, major advances have been made in the detection and treatment of breast cancer (Early Breast Cancer Trialists Collaborative Groupp, 2005; Yaffe et al, 2008).
First experiences have been made in the detection of microbial VOCs by IMS (Snyder et al. 1991; Smith et al. 1997; Chaim et al. 2003) and the related technology of differential mobility spectrometry (Shnayderman et al. 2005).
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