The eROSITA Final Equatorial-Depth Survey (eFEDS): The first archetypal quasar in the feedback phase discovered by eROSITA

Abstract Biotic plant-soil feedback has been widely studied, and may be particularly important in resource-poor areas. However, the roles of soil nutrient cycling in affecting plant growth in this process still remained unclear. The aim of this study was to explore the roles of soil biota in regulating nutrient cycling by conducting a two-phase feedback experiment in a dry-hot valley, with a conditioning phase during which there were Dodonaea viscosa or no D. viscosa growing in the soil, and a feedback phase in which the effect of the conditioned soil biota on D. viscosa performance was measured. The growth of D. viscosa significantly reduced soil N after the conditioning phase. However, D. viscosa showed a positive plant-soil feedback. In the feedback phase, the D. viscosa conditioned soil promoted the stem diameter, leaf area, and leaf dry mass content of D. viscosa. Total biomass was also significantly higher in D. viscosa conditioned soil than that in not conditioned soil. In contrast, soil sterilization had a negative effect on the growth of D. viscosa, with a significant reduction in plant biomass, especially in D. viscosa conditioned soil, and soil sterilization significantly increased the root: shoot biomass ratio and litter mass. Furthermore, we showed that although the biota-driven changes in enzyme activities correlated with the leaf N and P amount especially P amount, the enzyme activity was not the main reason to promote D. viscosa growth in the conditioned soil.

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Effectiveness Study of Code-Aided and Non-Code-Aided ML-Based Feedback Phase Synchronizers

10.1109/icc.2006.255254 ◽

2006 ◽

Cited By ~ 26

Author(s):

N. Noels ◽

H. Steendam ◽

M. Moeneclaey

Keyword(s):

Effectiveness Study ◽

Feedback Phase

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Decision-Aided, Pilot-Aided, Decision-Feedback Phase Estimation for Coherent Optical OFDM Systems

IEEE Photonics Technology Letters ◽

10.1109/lpt.2012.2219522 ◽

2012 ◽

Vol 24 (22) ◽

pp. 2067-2069 ◽

Cited By ~ 16

Author(s):

Shengjiao Cao ◽

Pooi Yuen Kam ◽

Changyuan Yu

Keyword(s):

Decision Feedback ◽

Phase Estimation ◽

Ofdm Systems ◽

Optical Ofdm ◽

Feedback Phase

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Use of reference beam self-feedback phase modulation in the holographic detection of debonding

Applied Optics ◽

10.1364/ao.29.001403 ◽

1990 ◽

Vol 29 (10) ◽

pp. 1403 ◽

Cited By ~ 1

Author(s):

Ian Grant ◽

Jianmin Wang

Keyword(s):

Phase Modulation ◽

Reference Beam ◽

Feedback Phase

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Opioid involvement in LH release during the negative feedback effects of oestradiol and progesterone in dairy cows

Reproduction Fertility and Development ◽

10.1071/rd9910709 ◽

1991 ◽

Vol 3 (6) ◽

pp. 709 ◽

Cited By ~ 2

Author(s):

AS Nanda ◽

WR Ward ◽

H Dobson

Keyword(s):

Negative Feedback ◽

Post Partum ◽

Opioid Peptide ◽

Endogenous Opioid ◽

Endogenous Opioid Peptide ◽

Plasma Progesterone ◽

Lh Surge ◽

Transient Rise ◽

Lh Release ◽

Feedback Phase

To create a clearly defined and uniform feedback phase of oestradiol, 1 mg oestradiol benzoate (OE2) was injected i.m. either 15-43 days post partum in 7 cows (Expt 1), or 12 h after prostaglandin oestrus synchronization of 4 cyclic cows (Expt 2 and 3). An endogenous opioid peptide (EOP) antagonist (250 mg naloxone), an EOP agonist (300 mg morphine), or a combination of the two was given in Expt 1, 2 and 3 respectively as a single i.v. injection in cows 16-18 h after OE2, i.e. in the negative feedback phase and before the expected onset of an induced luteinizing hormone (LH) surge. Blood samples were collected every 15 min for 1 h before and 2 h after each treatment. In Expt 1, naloxone failed to increase LH release when given during the negative feedback phase, but caused excessive release in one cow in which the LH surge had just begun. In all cows in Expt 2, morphine suppressed LH release (P less than 0.05). In Expt 3, naloxone prevented the suppressive effects of morphine for the first hour after treatment; a transient rise in LH occurred in one cow in which treatment was given 1 h before the start of the LH surge. In Expt 4, 250 mg naloxone was injected i.v. into 4 cows that had a plasma progesterone concentration of 1.5-3.1 ng mL-1 in the luteal phase of the oestrous cycle: naloxone failed to increase LH concentrations. It is concluded that LH can be further suppressed by opiates given to cows during the negative feedback phase of oestradiol.(ABSTRACT TRUNCATED AT 250 WORDS)

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The Impact of Screening Psychiatric Comorbidity and High-risk Feedback on Liaison Psychiatric Consultation Rates and Clinicians’ Attitudes on a Neurology Ward

European Psychiatry ◽

10.1016/j.eurpsy.2017.01.025 ◽

2017 ◽

Vol 41 (S1) ◽

pp. S53-S53

Author(s):

R. Van Damme ◽

G. Portzky ◽

P. Boon ◽

G.M.D. Lemmens

Keyword(s):

High Risk ◽

Psychiatric Comorbidity ◽

Psychiatric Services ◽

Study Phase ◽

Neurological Patients ◽

Screening Protocol ◽

Competing Interest ◽

The Impact ◽

Neurological Ward ◽

Feedback Phase

IntroductionLifetime prevalence of psychiatric comorbidity in neurological patients is as high as 55%, but it remains often undetected and therefore untreated in hospital settings. Further, clinicians tend to make little use of the consultative and liaison psychiatric team for detection and treatment of anxiety and mood disorders in neurological patients. The current study aimed to investigate whether the implementation of a stepped screening protocol with high risk feedback to the clinician had an influence on the use of consultative and liaison psychiatric services.MethodAll patients admitted to the neurological ward were assessed using a stepped screening protocol for depression, anxiety and substance use during 15 months. Positive screening resulted in feedback to the clinicians depending on the study phase (e.g. feedback vs. no feedback).ResultsNo differences were found in the use of consultative and liaison psychiatric services during the non-feedback and feedback phase.ConclusionScreening and high risk feedback of psychiatric comorbidity in neurological patients does not increase psychiatric referral rates. It points to the necessity of a more integrated collaborative care model for detection and treatment of psychiatric comorbidity.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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