Graph factorization: A new mode of application of a vertex-alternation scheme

1993 ◽  
Vol 46 (4) ◽  
pp. 519-533 ◽  
Author(s):  
Asok K. Mukherjee ◽  
Debes K. Das
2016 ◽  
Vol 3 ◽  
Author(s):  
Joseph Nassif ◽  
Sehrish A. Abbasi ◽  
Mohamad Karim Kechli ◽  
Suzan S. Boutary ◽  
Labib Ghulmiyyah ◽  
...  

2009 ◽  
Vol 62 ◽  
pp. 395-395
Author(s):  
M. Brownbridge ◽  
R.J. Townsend ◽  
T.L. Nelson ◽  
B. Gicquel ◽  
M. Gengos

The Australian pasture pest Adoryphorus couloni (redheaded cockchafer RHCC) continues to slowly spread from the Port Hills and Banks Peninsula through Christchurch towards productive agricultural land on the Canterbury Plains There are currently no products chemical or biological registered in New Zealand to control this pest In Christchurch several parks used extensively for human recreation were badly damaged by RHCC grubs in the autumn/early winter of 2008 and had to be treated with chemical insecticides (diazinon) Laboratory trials were thus carried out to assess the susceptibility of New Zealand populations of RHCC to a microbial biocontrol agent Metarhizium anisopliae DATF001 (ChaferGuard) registered in Australia Fungal activity was directly influenced by temperature and mode of application Infection and mortality occurred faster at 20C than 15C High mortality levels (90100 after 7 weeks) were obtained when larvae were treated by topical application (105 conidia/grub) or exposure to the dry ChaferGuard formulation in soil; >80 of the cadavers in these treatments were mycosed Direct incorporation of conidia into soil was the least effective treatment Grass grub (Costelytra zealandica) was unaffected by the fungus This trial confirmed the efficacy of DATF001 and its potential for use against New Zealand populations of RHCC


2020 ◽  
Vol 57 (4) ◽  
pp. 491-497
Author(s):  
Adhan Amenomori WU ◽  
Jaqueline Ribeiro de BARROS ◽  
Madhoor RAMDEEN ◽  
Julio Pinheiro BAIMA ◽  
Rogerio SAAD-HOSSNE ◽  
...  

BACKGROUND: Biological therapy and new drugs have revolutionized the treatment of inflammatory bowel disease. Ideally, the choice of medication should be a shared decision with the patient, aiming at greater satisfaction, compliance, and consequently, favorable clinical outcome. OBJECTIVE: This study aims to evaluate patient’s preferences in the choice of their therapy and the factors that influence this choice. METHODS: This cross-sectional study enrolled 101 outpatients with Crohn’s disease or ulcerative colitis. The inclusion criteria were age ≥18 years and no previous exposure to biological therapy. Patients’ preferences were assessed through questions that addressed the preferred mode of administration (oral, subcutaneous, or intravenous) and the factors that determined the choice of medication (efficacy, medical indication, fear of medication, convenience, mode of application, and personal doctors’ indication). RESULTS: The mean age was 43.6±13.5 years, 75.3% were female, and 81.2% were cases of ulcerative colitis. Regarding the mode of administration, the majority of patients preferred oral (87.1%), followed by intravenous (6.93%) and subcutaneous (5.94%) medications. The reasons were “I prefer to take it at home” (42.57%), “I have more freedom” (36.63%), “I don’t like self-application” (29.70%), and “I believe it works better” (19.80%). Younger patients and patients in clinical disease activity preferred intravenous mode compared to the oral route (P<0.05). Doctor’s opinion (98%) was an important factor associated with the medication choice. CONCLUSION: Oral route was the preferred mode of administration and most patients took their physician’s opinion into account in their choice of medication.


1985 ◽  
Vol 2 (04) ◽  
pp. 315-321 ◽  
Author(s):  
H. Redl ◽  
G. Schlag

2020 ◽  
Vol 52 (3) ◽  
pp. 798-824
Author(s):  
Jiaming Xu ◽  
Yuan Zhong

AbstractThis paper studies the scaling of the expected total queue size in an $n\times n$ input-queued switch, as a function of both the load $\rho$ and the system scale n. We provide a new class of scheduling policies under which the expected total queue size scales as $O\big( n(1-\rho)^{-4/3} \log \big(\!\max\big\{\frac{1}{1-\rho}, n\big\}\big)\big)$, over all n and $\rho<1$, when the arrival rates are uniform. This improves on the best previously known scalings in two regimes: $O\big(n^{1.5}(1-\rho)^{-1} \log \frac{1}{1-\rho}\big)$ when $\Omega\big(n^{-1.5}\big) \le 1-\rho \le O\big(n^{-1}\big)$ and $O\big(\frac{n\log n}{(1-\rho)^2}\big)$ when $1-\rho \geq \Omega(n^{-1})$. A key ingredient in our method is a tight characterization of the largest k-factor of a random bipartite multigraph, which may be of independent interest.


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