scholarly journals Influence of Environmental Pollutants at the Pollen of Poaceae

2021 ◽  
Vol 7 (2) ◽  
pp. 29-44
Author(s):  
V. Kobzar
Keyword(s):  
Environmental Pollutants ◽  
Pollen Allergy ◽  
Huge Amount ◽  
High Pollen ◽  
Common Features ◽  
Poaceae Pollen ◽  
Poaceae Family ◽  
Specific Contribution ◽  
Scanning Electron

More than 12,000 species belong to the Poaceae family globally; 300 species grow in Kyrgyzstan, anemophilous and releasing a huge amount of pollen into the atmosphere. Poaceae pollen is currently considered the leading airborne biological pollutant (PM10) and the leading cause of pollen allergy worldwide. She is one of the top global aeroallergens. Poaceae pollen has common features: small size, homogeneous morphology, high pollen production and abundance of species. The aim of this work was to study the effect of environmental pollutants on the pollen of Poaceae plants, the classification of identified teratomorphoses and assessment of their specific contribution to the aerobiological situation. The study of Poaceae pollen from various observation points of Kyrgyzstan using scanning electron microscopy revealed teratomorphoses of varying degrees of complexity: 1) deformation; 2) perforation; 3) fragmentation; 4) complex changes in the sculptural elements of the exine surface; 5) combined teratomorphosis, including several types with the transformation of one modification into another. This article summarizes the results of studies reflecting the effects of environmental pollutants on Poaceae pollen, and ultimately on the severity of symptoms and the prevalence of pollinosis.

scholarly journals Pollen morphology of Iranian Dracocephalum L. (Lamiaceae) and its taxonomic significance

2015 ◽  
Vol 22 (2) ◽  
pp. 99-110 ◽  
Author(s):  
Maryam Naderifar ◽  
Ali Sonboli ◽  
Abbas Gholipour
Keyword(s):  
Electron Microscopy ◽  
Pollen Morphology ◽  
Pollen Grains ◽  
Polar View ◽  
Taxonomic Significance ◽  
Infrageneric Classification ◽  
Exine Ornamentation ◽  
Plant Taxon ◽  
Scanning Electron

Pollen morphology of 11 Iranian Dracocephalum L. species was investigated using light and scanning electron microscopy to evaluate their taxonomic significance for the infrageneric classification of the genus. Pollen grains of all examined taxa were isopolar, hexacolpate, circular in polar view and spheroidal to prolate in equatorial view (P/E = 1.0?2.0). The smallest pollen grains were observed in D. aucheri (P = 29.7 ?m, E = 22.6 ?m), while the largest pollen was found in D. lindbergii (P = 45.1 ?m, E = 33.7 ?m). The highest and lowest apocolpium index (AI) were measured in D. aucheri (AI = 0.27) and D. surmandinum (AI = 0.08), respectively. Colpus membrane was egranulate in all examined species except for D. multicaule and D. ghahremanii. The main exine ornamentation type was characterized as bireticulate including five different subtypes. The results revealed that the exine ornamentation is a diagnostic character useful for the classification of Dracocephalum.Bangladesh J. Plant Taxon. 22(2): 99-110, 2015 (December)

Feature Selection for Audio-Based Fault Detection in Pumps

2020 ◽  
Author(s):  
Victor O. Adegboye ◽  
Jason H. Rife
Keyword(s):  
Fault Detection ◽  
Ambient Noise ◽  
Area Under The Curve ◽  
Mel Frequency Cepstral Coefficients ◽  
Common Features ◽  
Performance Metric ◽  
Audio Recordings ◽  
Selection For ◽  
Industrial Machine

Abstract Whilst extensive work has been done on fault detection in bearings using sound, very little has been accomplished with other machine components and machinery partly due to the scarcity of datasets. The recent release of the Malfunctioning Industrial Machine Investigation and Inspection (MIMII) dataset opens the opportunity for research into malfunctioning machines like pumps, fans, slide rails, and valves. In this paper, we compare common features from audio recordings to investigate which best support the classification of malfunctioning pumps. We evaluate our results using the Area Under the Curve (AUC) as a performance metric and determine that the log mel spectrum is a very useful feature, at least for this dataset, but that other features can enhance detection performance when ambient noise is present (improving AUC from 0.88 to 0.94 in one case). Also, we find that mel Frequency Cepstral Coefficients (MFCC) perform substantially poorer as features than a sampled mel spectrogram.

Common Features of Sacrifice

2017 ◽  
Author(s):  
David L. Weddle
Keyword(s):  
Partial Identification ◽  
Ritual Performance ◽  
Common Features ◽  
The Gift ◽  
Pascal’S Wager ◽  
Transcendent Reality ◽  
Definition Of

This chapter identifies elements that are common to sacrificial practices and events: signification of transcendence that requires discipline or denial of natural desires to point to what is beyond nature; suspense of offering without assurance of its intended outcome, illustrated in Pascal’s wager and Kierkegaard’s leap of faith; conditionality of the gift as a result of its qualifications, ritual performance, and contingent reciprocity of the sacred recipient; self-sacrifice through partial identification with what is offered (what Marcel Mauss called the “intermingling” of persons and things in sacrifice). This chapter offers a tentative definition of sacrifice as a costly act of self-giving, in denial of natural inclinations, that is offered in suspense, under conditions that threaten failure, for the purpose of establishing a relation with transcendent reality. This definition is developed in light of Kathryn McClymond’s proposal of “polythetic classification” of sacrifice.

Evaluation of Decision-Making Support Systems

2011 ◽  
pp. 131-140
Author(s):  
Gloria E Phillips-Wren ◽  
Manuel Mora ◽  
Guisseppi Forgionne
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Support Systems ◽  
The Internet ◽  
Dynamic Data ◽  
Human Decision ◽  
Broad Classification ◽  
Specific Contribution ◽  
Decision Making Support

Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing environment (Sprague & Watson, 1996; Turban & Aronson, 1998). Newer intelligent systems, enabled by the advent of the Internet combined with artificial-intelligence (AI) techniques, have extended the reach of DSSs to assist with decisions in real time with multiple informaftion flows and dynamic data across geographical boundaries. All of these systems can be grouped under the broad classification of decision-making support systems (DMSS) and aim to improve human decision making. A DMSS in combination with the human DM can produce better decisions by, for example (Holsapple & Whinston, 1996), supplementing the DM’s abilities; aiding one or more of Simon’s (1997) phases of intelligence, design, and choice in decision making; facilitating problem solving; assisting with unstructured or semistructured problems (Keen & Scott Morton, 1978); providing expert guidance; and managing knowledge. Yet, the specific contribution of a DMSS toward improving decisions remains difficult to quantify.

Evaluation of Decision-Making Support Systems

2011 ◽  
pp. 320-328 ◽  
Author(s):  
Gloria E. Phillips-Wren ◽  
Manuel Mora ◽  
Guisseppi Forgionne
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Support Systems ◽  
The Internet ◽  
Dynamic Data ◽  
Human Decision ◽  
Broad Classification ◽  
Specific Contribution ◽  
Decision Making Support

Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing environment (Sprague & Watson, 1996; Turban & Aronson, 1998). Newer intelligent systems, enabled by the advent of the Internet combined with artificial-intelligence (AI) techniques, have extended the reach of DSSs to assist with decisions in real time with multiple informaftion flows and dynamic data across geographical boundaries. All of these systems can be grouped under the broad classification of decision-making support systems (DMSS) and aim to improve human decision making. A DMSS in combination with the human DM can produce better decisions by, for example (Holsapple & Whinston, 1996), supplementing the DM’s abilities; aiding one or more of Simon’s (1997) phases of intelligence, design, and choice in decision making; facilitating problem solving; assisting with unstructured or semistructured problems (Keen & Scott Morton, 1978); providing expert guidance; and managing knowledge. Yet, the specific contribution of a DMSS toward improving decisions remains difficult to quantify.

scholarly journals Analysis of Cause of Endodontic Failure of C-Shaped Root Canals

Scanning ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Yemi Kim ◽  
Donghee Lee ◽  
Da-Vin Kim ◽  
Sin-Young Kim
Keyword(s):  
Root Canal ◽  
Root Surface ◽  
Cone Beam ◽  
Common Cause ◽  
Root Canals ◽  
Cause Of Failure ◽  
End Resection ◽  
Scanning Electron ◽  
Periapical Radiography

The purpose of this study was to analyze various characteristics and classification of C-shaped root canals and evaluate the causes of endodontic failure of C-shaped root canals by examining the resected root surface with an endodontic microscope and a scanning electron microscope (SEM). Forty-two teeth with C-shaped root canals were included in this study and had undergone intentional replantation surgery. Before surgery, periapical radiography and cone-beam computed tomography were taken. The root canal configuration was analyzed and classified according to Melton’s classification at coronal and apical level. After injection of 1 : 100,000 epinephrine with 2% lidocaine, the tooth was carefully extracted. After the root-end resection, the resected root surface was examined using an operating microscope and SEM. Mandibular second molars were most frequently involved teeth (90.4%). The most frequently observed root canal configurations were C1 at the coronal level (45.2%) and C3 at the apical 3 mm level (45.2%). The most common cause of failure for a C-shaped root canal treatment was a leaky canal (45.2%), followed by an isthmus (23.8%), missing canal, overfilling, and iatrogenic problems. In conclusion, C-shaped root canals were most frequently found in mandibular second molars. The most common cause of failure was a leaky canal and isthmus.

scholarly journals Morphological classification of bioaerosols from composting using scanning electron microscopy

2014 ◽  
Vol 34 (7) ◽  
pp. 1101-1108 ◽  
Author(s):  
A. Tamer Vestlund ◽  
R. Al-Ashaab ◽  
S.F. Tyrrel ◽  
P.J. Longhurst ◽  
S.J.T. Pollard ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Morphological Classification ◽  
Scanning Electron

scholarly journals Do Common Features Exist Among Countries That Locally Adopt IFRS?

2015 ◽  
Vol 5 (2) ◽  
pp. 144 ◽  
Author(s):  
Elizabeth Felski
Keyword(s):  
Financial Reporting ◽  
Previous Analysis ◽  
Regression Analyses ◽  
Accounting Standard ◽  
Common Features ◽  
Financial Reporting Standards ◽  
Ifrs Adoption ◽  
Several Variables ◽  
Discriminant Analyses

Although International Financial Reporting Standards (IFRS) have clearly emerged as the preferred global accounting standard, previous studies of IFRS have mainly focused on post-adoption outcomes. The few IFRS adoption-focused studies are either limited in scope or are based on outdated versions of IFRS.  This paper fills these holes in the literature by offering a comprehensive analysis of IFRS adoption: first, through an expanded classification system which includes local adoption as a distinct form of IFRS adoption and then through ANOVA, discriminant analyses and regression analyses. Several variables were identified as significant drivers of adoption status, one being the Asian region which consistently emerged as a powerful driver of adoption type suggesting previous analysis of IFRS diffusion is incomplete, missing this key region variable. This expanded typology suggests that the system of country classification of required/not required currently used is inadequate in capturing how IFRS is adopted in practice.

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