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345 results for “stigma”
Kellogg Biological Station site, station Treatment 2, standard levels of chemical inputs, no tillage, study of animal abundance of Chilocorus stigma in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Chilocorus stigma measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 3, organic-based low chemical input (banded herbicide, starter N), winter leguminous crop, annual tillage and post-planting cultivation, study of animal abundance of Chilocorus stigma in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Chilocorus stigma measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 4, certified oganic, no chemical inputs, annual tillage, rotary-hoed to control weeds, study of animal abundance of Chilocorus stigma in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Chilocorus stigma measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 5, Poplar trees (fallow 2008), planted on a 10-year rotation cycle, study of animal abundance of Chilocorus stigma in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Chilocorus stigma measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 6, Continuous alfalfa (wheat 2008), study of animal abundance of Chilocorus stigma in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Chilocorus stigma measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of animal abundance of Chilocorus stigma in units of numberAdultsPerYellowStickyTrap on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains animal abundance of Chilocorus stigma measurements in numberAdultsPerYellowStickyTrap units and were aggregated to a yearly timescale.
Data from: How self-stigma affects patient activation in persons with type 2 diabetes
<p><span><span><span><b><span>Objectives</span></b></span></span></span></p> <p><span><span><span><span>Self-stigma is associated with lower patient activation levels for self-care in persons with type 2 diabetes mellitus (T2DM). However, the causal pathway linking self-stigma with patient activation for self-care has not been shown. In order to determine how self-stigma affects patient activation for self-care, we tested a two-path hypothetical model both directly and as mediated by self-esteem and self-efficacy.</span></span></span></span></p> <p><span><span><span><b><span>Design</span></b></span></span></span></p> <p><span><span><span><span>A cross-sectional study</span></span></span></span></p> <p><span><span><span><b><span>Setting</span></b></span></span></span></p> <p><span><span><span><span>2 university hospitals, 1 general hospital, and 1 clinic in Japan</span></span></span></span></p> <p><span><span><span><b><span>Participants</span></b></span></span></span></p> <p><span><span><span><span>T2DM outpatients receiving treatment (n = 209) completed a self-administered questionnaire comprising the Self-Stigma Scale, Patient Activation Measure, Rosenberg Self-Esteem Scale, General Self-Efficacy Scale, Patient Health Questionnaire, hemoglobin A1c test, age, sex, and BMI.</span></span></span></span></p> <p><span><span><span><b><span>Primary and Secondary Outcome Measures</span></b></span></span></span></p> <p><span><span><span><span>Self-stigma levels were measured by using the Self-Stigma Scale. Patient activation levels were measured by the Patient Activation Measure.</span></span></span></span></p> <p><span><span><span><b><span>Results</span></b></span></span></span></p> <p><span><span><span><span>Path analysis showed a strong relationship between self-stigma and patient activation (χ<sup>2 </sup>= 27.55, <i>p</i> = 0.120; GFI = 0.97; AGFI = 0.94; CFI = 0.98; RMSEA = 0.04). Self-stigma had a direct effect on patient activation (β = −0.20; <i>p</i> = 0.002). Indirectly, self-stigma affected patient activation along two paths (β = 0.31; <i>p</i> < 0.001) by reducing self-esteem (β = −0.22; p < 0.001) and self-efficacy (β = −0.36; p < 0.001).</span></span></span></span></p> <p><span><span><span><b><span>Conclusions</span></b></span></span></span></p> <p><span>Due to the cross-sectional design of the study, longitudinal changes between all the variables cannot be established. However, the findings indicate that self-stigma affected patient activation for self-care, both directly and as mediated by self-esteem and self-efficacy. Interventions that increase self-esteem and self-efficacy may decrease self-stigma in T2DM patients, thus increasing patient activation for self-care.</span></p>
Data from: Association between attitudes of stigma toward mental illness and attitudes toward adoption of evidence-based practice within health care providers in Bahrain
<p><span>The health care system is one of the key areas where people with mental illnesses could experience stigma. Clinicians can hold stigma attitudes during their interactions with patients with mental illness. To improve the quality of mental health services and primary care, evidence-based practices should be disseminated and implemented. In this study, <a name="_Hlk23098053">we evaluated the attitudes of health care providers in Bahrain toward people with mental illness and adoption of evidence-based practice </a>using the Opening Minds Stigma Scale for Healthcare Providers (OMS-HC) and Evidence-Based Practice Attitude Scale (EBPAS).<b> </b>We conducted a cross-sectional study across 12 primary health care centers and a psychiatric hospital (the country's main mental health care facility). A self-report questionnaire was distributed among all health care providers.<b> </b>A total of 547 health care providers participated, with 274 from mental health services and 273 from primary care services. Results of the OMS-HC indicated differences between both main groups and subgroups. Regression model analysis reported significant outcomes. There was no statistical difference found between both groups in EBPAS scores. A weak but statistically significant negative association was reported between both scales.<b> </b>Participants showed varying stigma attitudes across different working environments, with less stigma shown in mental health services than in primary care services. <a name="_Hlk23098110">Providers who were more open to adopting evidence-based practices showed less stigma toward people with mental illness. Comparing our findings with previous research</a> showed that health care providers in Bahrain hold more stigma attitudes than other groups studied. We hope that this study serves as an initial step toward future campaigns against the stigma of mental illness in Bahrain and across the region.</span></p>
FIGURES 5–7. Polylobus stigma, female. 5—tergite 8 in The unique Brazilian species of Polylobus Solier (Coleoptera: Staphylinidae: Aleocharinae) with a checklist of all species of the genus
FIGURES 5–7. Polylobus stigma, female. 5—tergite 8, dorsal view; 6—sternite 8, ventral view; 7—tergites 9–10, dorsal view. Scale bar 0.25 mm.
FIGURES 1–4. Polylobus stigma, female. 1 in The unique Brazilian species of Polylobus Solier (Coleoptera: Staphylinidae: Aleocharinae) with a checklist of all species of the genus
FIGURES 1–4. Polylobus stigma, female. 1—right maxilla; 2—labium; 3—right tarsus; 4—spermatheca. Scale bar 0.1 mm.
FIGURE 2 in Pattern of stigma numbers as a taxonomic character in some didemnid ascidians (Aplousobranchia: Didemnidae)
FIGURE 2. Component ratio of stigma patterns in the five morphotypes of Didemnum molle. Black indicates the eight stigma patterns found in all morphotypes; gray indicates the patterns shared in two to four morphotypes; white indicates the patterns unique to one morphotype.
FIGURE 1 in Pattern of stigma numbers as a taxonomic character in some didemnid ascidians (Aplousobranchia: Didemnidae)
FIGURE 1. Collection sites of didemnid ascidians in the Ryukyu Archipelago–Taiwan. The site symbols (A–O) correspond to those in TABLE 1. A: Bise, Okinawajima Island (26°42΄40"N, 127°52΄30"E); B: Seragaki, Okinawajima Island (26°30΄30"N, 127°51΄37"E); C: Manza, Okinawajima Island (26°30΄10"N, 127°50΄34"E); D: Zanpa, Okinawajima Island (26°26΄20"N, 127°42΄45"E); E: Nagahama, Okinawajima Island (26°25΄20"N, 127°44΄10"E); F: Odo, Okinawajima Island (26°5΄25"N, 127°42΄30"E); G:Nishizaki, Iejima Island, Okinawajima Islands (26°42΄30"N, 127°45΄40"E); H: Sesoko,Sesokojima Island, Okinawajima Islands (26°38΄50"N, 127°52΄25"E); I: Shinri-hama, Kumejima Island, Okinawajima Islands (26°20΄57"N, 126°42΄50"E); J: Ara-hama, Kumejima Island (26°18΄55"N, 126°46΄25"E); K: Nagama-hama, Kurimajima Island, Miyako Islands (24°43΄40"N, 125°14΄25"E); L: Kaiji-hama, Taketomi Island, Yaeyama Islands (24°18΄50"N, 124°4΄50"E); M: Nakamoto, Kuroshima Island, Yaeyama Islands (24°13΄50"N, 123°59΄50"E); N: Gueiwan, Lyudao, Taiwan (22°38΄45"N, 121°28΄32"E); and O: Nanwan, Kenting, Taiwan (21°57΄30"N, 120°45΄50"E).
FIGURE 3 in Pattern of stigma numbers as a taxonomic character in some didemnid ascidians (Aplousobranchia: Didemnidae)
FIGURE 3. Thoraxes of Trididemnum clinides (A, right side view) and Trididemnum nubilum (B, left side view). The stigma patterns are <9, 8, 8> in A and <5, 5, 4> in B. Numbers indicate the stigmata in the first rows. en, endostyle; es, esophagus. Scale bars, 0.1 mm.
Stigma toward ASD
<p>Stigma scores (social distance) toward ASD</p>
FIGURE. Illustration of Paphiopedilum charlesworthii var. lannaense W. Tongkham, S. Pumikong, N. Potapohn & W. Bundithya A. flower, B. dorsal sepal, C. synsepal, D. petal, E. labellum frontal view, F. labellum side view, G. labellum longitudinal section, H. pedicel, I. pedicel longitudinal section and transverse section, J. stigma and pollen, K. staminode, L. column side view, M. leaf, N. peduncle, bract and pedicel, and O. flowering plant. Drawn by W. Tongkham from S. Pumikong 021001 (holotype QBG! [no. 132572]). in Paphiopedilum charlesworthii var. lannaense, a new slipper orchid from Northern Thailand identified by morphological and AFLP analyses
FIGURE. Illustration of Paphiopedilum charlesworthii var. lannaense W. Tongkham, S. Pumikong, N. Potapohn & W. Bundithya A. flower, B. dorsal sepal, C. synsepal, D. petal, E. labellum frontal view, F. labellum side view, G. labellum longitudinal section, H. pedicel, I. pedicel longitudinal section and transverse section, J. stigma and pollen, K. staminode, L. column side view, M. leaf, N. peduncle, bract and pedicel, and O. flowering plant. Drawn by W. Tongkham from S. Pumikong 021001 (holotype QBG! [no. 132572]).
FIGURE 1. Primulina pingleensis. A. Habitat. B. Habit. C. Leaf blade. D. Bracts. E. Cyme. F. Opened corolla. G. Pistil. H. Flower, front view. I. Stamen, side view. J. Flower, top view. K. Flower, side view. L. Stigma. M. Disc. N in Primulina pingleensis (Gesneriaceae), a new species from Guangxi, China
FIGURE 1. Primulina pingleensis. A. Habitat. B. Habit. C. Leaf blade. D. Bracts. E. Cyme. F. Opened corolla. G. Pistil. H. Flower, front view. I. Stamen, side view. J. Flower, top view. K. Flower, side view. L. Stigma. M. Disc. N. Calyx lobe, adaxial view. Photos by Ying Qin.
Translation, cross-cultural adaptation, and evaluation of psychometric properties of cystic fibrosis stigma scale
<pre>Search database</pre>
FIGURE. Camchaya bolavenensis Noyori, Komada, Soulad. & Tagane. A. Habit; B. Lower leaf surface; C. Capitula, lateral view; D. Capitula, apical view; E. Capitula; F. Floret; G. Anthers; H. Styles and stigmas; I. Hexaporate pollen. Materials A–E & G–H from Souladeth et al. L3349 (KAG), F from Tagane et al. L2011 (KYO) and I from Tagane et al. L2011 (KAG). in Camchaya bolavenensis (Asteraceae: Vernonieae), a new species from Bolaven Plateau, southern Laos
FIGURE. Camchaya bolavenensis Noyori, Komada, Soulad. & Tagane. A. Habit; B. Lower leaf surface; C. Capitula, lateral view; D. Capitula, apical view; E. Capitula; F. Floret; G. Anthers; H. Styles and stigmas; I. Hexaporate pollen. Materials A–E & G–H from Souladeth et al. L3349 (KAG), F from Tagane et al. L2011 (KYO) and I from Tagane et al. L2011 (KAG).
Morphological characteristics of pollen from triploid watermelon and its fate on stigmas in a hybrid crop production system
<p>Hybrid crop production is more reliant on pollinators compared to open-pollinated crops because they require cross-pollination between a male-fertile and a male-sterile line. Little is known about how stigma receipt of pollen from male-sterile genotypes affects reproduction in hybrids. Non-viable and non-compatible pollen cannot fertilise plant ovules, but may still interfere with pollination success. Here we used seedless watermelon (<em>Citrullus lanatus</em> (Thunb.) Matsum. & Nakai) as a model hybrid plant, to evaluate the morphology, physiology, and movement of pollen from inter-planted genotypes (diploids and triploids). We found that pollen from triploids ('Exclamation' and 'Royal Armada') and diploids ('SP-6', 'Summer Flavor 800', and 'Tiger') was visually distinguishable. Pollen in triploids had more deformities (42.4–46%), tetrads (43–44%), and abnormal growth of callose plugs in pollen tubes. The amount of pollen in triploids to germinate on stigmas was low (8 ± 3%), and few pollen grains produced pollen tubes (6.5 ± 2%). Still, contrary to previous reports our results suggest that some viable pollen grains are produced by triploid watermelons. However, whilst honey bees can collect and deposit pollen from triploids onto stigmas, its effect on hybrid watermelon reproduction is likely to be minimal due to its low germination rate.</p>
FIGURES 50–57. Female habitus. 50. Polistes khasianus. 51. Polistes pallidus. 52. Polistes brunus. 53. Polistes communalis. 54. Polistes stigma stigma. 55. Polistes stigma tamulus. 56. Polistes sagittarius. 57 in Species of the Polistes (Polistella) (Hymenoptera: Vespidae: Polistinae) from Vietnam, with description of a new species and a pictorial key
FIGURES 50–57. Female habitus. 50. Polistes khasianus. 51. Polistes pallidus. 52. Polistes brunus. 53. Polistes communalis. 54. Polistes stigma stigma. 55. Polistes stigma tamulus. 56. Polistes sagittarius. 57. Polistes strigosus.
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OpenNeuro
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