SMEs that experienced a large drop in sales are more likely to need future help to cover costs

2021 ◽  
Keyword(s):  
Large Drop

Sewer System for Improving Flood Control in Tokyo: A Step towards a Return Period of 70 Years

1994 ◽  
Vol 29 (1-2) ◽  
pp. 303-310 ◽  
Author(s):  
Kazuyuki Higuchi ◽  
Masahiro Maeda ◽  
Yasuyuki Shintani
Keyword(s):  
Return Period ◽  
Flood Control ◽  
Rainfall Intensity ◽  
Runoff Coefficient ◽  
Large Drop ◽  
Construction Costs ◽  
Sewer System ◽  
Construction Period ◽  
Metropolitan Government ◽  
Under Construction

The Tokyo Metropolitan Government has planned future flood control for a rainfall intensity of 100 mm/hr, which corresponds to a return period of 70 years, and a runoff coefficient of 0.8. Considering that the realization of this plan requires a long construction period and high construction costs, the decision was made to proceed by stages. In the first stage, the improvement of the facilities will be based on a rainfall intensity of 75 mm/hr (presently 50 mm/hr), corresponding to a return period of 17 years, and a runoff coefficient of 0.8. In the next stage the facilities will be improved to accommodate a rainfall intensity of 100 mm/hr. In the Nakano and Suginami regions, which suffer frequently from flooding, the plan of improvement based on a rainfall intensity of 75 mm/hr is being implemented before other areas. This facility will be used as a storage sewer for the time being. The Wada-Yayoi Trunk Sewer, as a project of this plan, will have a diameter of 8 m and a 50 m earth cover. This trunk sewer will be constructed considering several constraints. To resolve these problems, hydraulic experiments as well as an inventory study have been carried out. A large drop shaft for the trunk sewer is under construction.

Investigation of the applicability domains of the bubble cluster mathematical model

2011 ◽  
Vol 8 (1) ◽  
pp. 65-73
Author(s):  
E.Sh. Nasibullaeva ◽  
I.Sh. Akhatov
Keyword(s):  
Mathematical Model ◽  
Parameter Space ◽  
Acoustic Field ◽  
Initial Radius ◽  
Large Drop ◽  
Bubble Cluster ◽  
The Mathematical Model

The mathematical model of a bubble cluster subjected to an acoustic field is investigated. In this model the cluster is considered as a large drop containing a liquid and a set of microbubbles. Areas of applicability of the mathematical model of the bubble cluster in the parameter space (α, R_0) are constructed, where α is the bubble concentration in the cluster; R_0 is the initial radius of the cluster.

scholarly journals Potential Virus Involvement in Alzheimer’s Disease: Results from a Phase IIa Trial Evaluating Apovir, an Antiviral Drug Combination

2021 ◽  
pp. 1-19
Author(s):  
Nina Lindblom ◽  
Lars Lindquist ◽  
Jacob Westman ◽  
Mikael Åström ◽  
Roger Bullock ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cerebrospinal Fluid ◽  
Drug Combination ◽  
Antiviral Treatment ◽  
Antiviral Drug ◽  
Disease Process ◽  
Drop Out ◽  
Large Drop ◽  
Drop Out Rate

Background: Accumulating data suggest infectious agents are involved in Alzheimer’s disease (AD). The two primary aims of this trial were to assess safety and efficacy of an antiviral drug combination on AD progression. Objective: The trial evaluated whether Apovir, a combination of two antiviral agents, pleconaril (active on enteroviruses) and ribavirin (active on several viruses), could slow AD progression. Methods: Sixty-nine patients 60–85 years were treated with Apovir or placebo for 9 months and followed until 12 months after end of treatment. Cognitive tests, safety, biomarkers, drug plasma, and cerebrospinal fluid concentrations were assessed. Results: The tolerability of Apovir was compromised as demonstrated by the large drop-out rate and increased frequency and severity of adverse events. The primary endpoint, demonstrating a difference in change from baseline to 9 months between groups in ADAS-cog total score, was not met (p = 0.1809). However, there were observations indicating potential effects on both ADAS-cog and CDR-SB but these effects need to be verified. Also, there was a decrease in cerebrospinal fluid amyloid-β in Apovir at 9 months (p = 0.0330) but no change in placebo. Conclusion: This was the first randomized, placebo controlled clinical trial exploring antiviral treatment on AD progression. The trial is considered inconclusive due to the large drop-out rate. New trials are needed to verify if the indications of effect observed can be confirmed and which component(s) in Apovir contributed to such effects. Pleconaril alone may be studied to improve the tolerability and to verify if enterovirus is involved in the disease process.

Annealing Effects on Mechanical Properties and Microstructure of AZ31 Alloy Sheet Differential-Speed-Rolled at Low Temperatures

2007 ◽  
Vol 558-559 ◽  
pp. 213-216 ◽  
Author(s):  
Y.G. Jeong ◽  
Woo Jin Kim ◽  
Seo Gou Choi ◽  
Ha Guk Jeong
Keyword(s):  
Mechanical Properties ◽  
Tensile Elongation ◽  
Az31 Alloy ◽  
Alloy Sheet ◽  
Large Drop ◽  
High Anisotropy ◽  
Texture Change ◽  
Annealing Effects ◽  
Anisotropy Of Mechanical Properties ◽  
Differential Speed

For the Magnesium alloy AZ31, hot rolling is usually carried out in the temperature range between 250 and 400°C but the processed sheets usually exhibit high anisotropy in mechanical properties. In the current study, DSR process was found to be effective in improving anisotropy of mechanical properties and ductility at room temperature. Full recrystallization takes place from 200°C and above. A large drop of UTS occurs above 200°C where full recrystallization starts. Tensile elongation increases with annealing temperature but anisotropy degrades from 200°C onwards. Texture change during recrystallization is believed to be responsible for this result.

scholarly journals Women have Farther to Fall: Gender Differences Between Normal Elderly and Alzheimer's Disease in Verbal Memory Engender Better Detection of Alzheimer's Disease in Women

2011 ◽  
Vol 17 (4) ◽  
pp. 654-662 ◽  
Author(s):  
Robert M. Chapman ◽  
Mark Mapstone ◽  
Margaret N. Gardner ◽  
Tiffany C. Sandoval ◽  
John W. McCrary ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gender Differences ◽  
Verbal Memory ◽  
Control Group ◽  
Large Drop ◽  
Delayed Recall ◽  
Logical Memory ◽  
Wechsler Memory Scale ◽  
Immediate Recall

AbstractWe analyzed verbal episodic memory learning and recall using the Logical Memory (LM) subtest of the Wechsler Memory Scale-III to determine how gender differences in AD compare to those seen in normal elderly and whether or not these differences impact assessment of AD. We administered the LM to both an AD and a Control group, each comprised of 21 men and 21 women, and found a large drop in performance from normal elders to AD. Of interest was a gender interaction whereby the women's scores dropped 1.6 times more than the men's did. Control women on average outperformed Control men on every aspect of the test, including immediate recall, delayed recall, and learning. Conversely, AD women tended to perform worse than AD men. Additionally, the LM achieved perfect diagnostic accuracy in discriminant analysis of AD versus Control women, a statistically significantly higher result than for men. The results indicate the LM is a more powerful and reliable tool in detecting AD in women than in men. (JINS, 2011, 17, 654–662)

scholarly journals Osteoporosis OSTEOPOROSIS –IN OLD AGE AND GERIATRICS

2020 ◽  
Vol 8 (02) ◽  
Author(s):  
Reena mishra Reena
Keyword(s):  
Breast Cancer ◽  
Bone Loss ◽  
Old Age ◽  
Published Data ◽  
Age Group ◽  
Large Drop ◽  
Heart Attacks ◽  
Health Initiative ◽  
In The Beginning ◽  
Whi Study

In the beginning, that is from the 1960's, when a link between menopause and osteoporosis was first identified; estrogen treatment was the standard for preventing bone loss, however there was no fracture data, even though it was thought to be effective. This continued until the Women's Health Initiative (WHI) study in 2001 that published data on 6 years of treatment with hormone therapy that showed an increase in heart attacks and breast cancer. Even though the risks were small, 1 per 1500 users annually, patients were worried and there was a large drop off in estrogen use. In later analyses the WHI study showed that estrogen reduced fractures and actually prevented heart attacks in the 50-60 year age group. Estrogen alone appeared to be safer to use than estrogen + the progestin medroxyprogesterone acetate and actually reduced breast cancer.  

scholarly journals Strength Tests on Newly Fallen Snow

1969 ◽  
Vol 8 (54) ◽  
pp. 427-440 ◽  
Author(s):  
R. Perla
Keyword(s):  
Cone Penetrometer ◽  
Light Weight ◽  
Large Drop ◽  
Torque Wrench ◽  
Strength Tests ◽  
Order Of Magnitude ◽  
Magnitude Variation ◽  
A New Technique ◽  
Shear Frame

AbstractModified versions ofin situstrength tests previously applied to metamorphosed snow were developed to measure the mechanical properties of newly fallen snow during storm periods. A large drop-cone penetrometer, protected from the wind by an aluminum shell, was used to determine snow “hardness”. A lightweight model of the Haefeli ram penetrometer measured “ram numbers”. Shear strengths were obtained from large, light-weight frames. Some preliminary tests were made with a shear vane driven by a torque wrench. A new technique was devised for measuring tensile strength whereby a cantilever beam of snow is undercut until it fails under its own weight. Comparisons between the cantilever test and the shear-frame test show high ratios for tensile to shear strength. Cantilever strength plotted against density shows an order of magnitude variation in strength at all densities.

scholarly journals Tomato Leaf Disease Detection using Back Propagation Neural Network

2020 ◽  
Vol 9 (8) ◽  
pp. 529-538
Keyword(s):  
Neural Network ◽  
Traditional Approach ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Plant Diseases ◽  
Disease Detection ◽  
Large Drop ◽  
Tomato Crop ◽  
Leaf Disease ◽  
Area Of Interest

Most of the Indian economy rely on agriculture, so identifying any diseases crop in early stages is very crucial as these diseases in plants causes a large drop in the production and economy of the farmers and therefore, degradation of the crop which emphasize on the early detection of the plant disease. These days, detection of plant diseases has become a hot topic in the area of interest of the researchers. Farmers followed a traditional approach for identifying and detecting diseases in plants with naked eyes, which didn’t help much as the disease may have caused much damage to the plant. Tomato crop shares a huge portion of Indian cuisine and can be prone to various Air-Bourne and Soil-Bourne diseases. In this paper, we tried to automate the Tomato Plant Leaf disease detection by studying the various features of diseased and healthy leaves. The technique used is pattern recognition using Back-Propagation Neural network and comparing the results of this neural network on different features set. Several steps included are image acquisition, image pre-processing, features extraction, subset creation and BPNN classification.

Gamification of Computer Programming Tasks to Promote the Growth Mind-Set in a Disadvantaged School

2022 ◽  
Vol 12 (1) ◽  
pp. 0-0
Keyword(s):  
Focus Group ◽  
Computer Programming ◽  
Control Group ◽  
Large Drop ◽  
The Face ◽  
Mind Set ◽  
Game Elements ◽  
Disadvantaged School

This paper describes a growth mind-set intervention with Junior Cycle Coding students in a disadvantaged school in Ireland. This intervention builds on the work of O’Rourke et al. (2016) and applies findings to a computer programming setting where gamification is used to incentivise growth mind-set behaviour in students learning to code. Data revealed a large drop in the perseverance of effort with the control group while learning computer programming. Significantly, the intervention shielded the focus group from experiencing the same drop while learning to code. This research found an increase in the growth mind-set behaviour as the intervention progressed. Additionally, the study revealed that some game elements were effective at incentivising growth mind-set behaviour like perseverance, while others were less successful. These findings are important for educators to consider when they find their Coding students showing a helpless response to challenge as this research sets out a clear path to successfully incentivise persistence and changing strategy in the face of challenge.

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