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524,373 result(s) for "Homeowners"
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It's Hip To Live In The Hills, Billy
[...]of the increase in natural disasters, some insurance agencies are pulling out of Florida entirely, making it extremely challengingto get home insurance at any price. [...]Home insurance is still affordable and obtainable here,\" says Sinko. The average cost of homeowners insurance in West Virginia is $1,600 per year, or about $133 per month, according to a NerdWallet analysis.
Detection Method of Distribution Transformer Based on Intelligent Switching Line Switch
Automatic and intelligent detection of distribution transformer is an important condition to ensure distribution network zero defect operation. The traditional distribution transformer quality detection system has low integration and automation, and a single function mode, which cannot meet the intelligent detection under different test scenarios. This paper introduces the basic principle of intelligent switching line, and develop a special automatic switching device according to the actual detection process. On this basis, an intelligent switching line switching device is designed according to the test requirements of distribution transformer. Finally, the actual test results show that the proposed distribution transformer detection method based on intelligent switching line switch can significantly reduce the detection time and improve the detection efficiency of distribution transformer.
Tax: 'Relief won't ordinarily be available for periods where the homeowner hasn't used their dwelling as their sole or main residence'
[...]the final period exemption currently allows the final 18 months of ownership to qualify for PRR in all cases, provided that the property is or has at some time been occupied as the owner's only or main residence, a period extended to 36 months for persons who are disabled or resident in a care home. Given that homeowners continuing to occupy their home alongside lodgers make up only a narrow part of the overall rental market, the proposed change will represent a significant restriction on this relief. Many taxpayers may be aware of the existence of PRR and assume that any gains on the sale of their main residence will be exempt from tax.
Biological and Microbial Control: Evaluation of Biorational Insecticides for Management of Euproctis chrysorrhoea
The browntail moth (Euproctis chrysorrhoea L.) is an invasive species which over the past five years, has been undergoing outbreaks on a scale not seen in the northeastern U.S. in over 100 years. Browntail moth larvae feed on and defoliate a number of deciduous tree species, but the health issues caused by contact with the toxic urticating hairs of the overwintered larvae have resulted in very low tolerance for this pest amongst homeowners and land managers. Few recent studies have been conducted to assess management options for browntail moth, which is abundant in ecologically sensitive areas along coastal waters, and around people's homes. We investigated the potential to manage overwintered larvae with currently available biorational insecticides. Laboratory bioassays revealed susceptibility to Beauveria bassiana (Balsamo) Vuillemin (Hypocreales: Cordycipitaceae), Bacillus thuringiesis kurstaki (Berliner), azadirachtin, and spinosad products. A field trial was conducted to assess efficacy of B. bassiana, Btk, and azadirachtin. All treatments reduced the abundance of larvae compared with the control, but only two applications of Btk and single application of a tank mix of B. bassiana and Btk reduced pupal nest abundance. A laboratory experiment revealed that temperature did not affect the feeding and survival of larvae exposed to the field trial foliage from the Btk and the Btk/B. bassiana tank mix treatments, whereas slower feeding rates and increased time to death were observed with the control and B. bassiana alone treatment. Key words: browntail moth, biorational insecticide, Bacillus thurengiensis, Beauveria bassiana, azadirachtin
Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States
I examine the learning process that economic agents use to update their expectation of an uncertain and infrequently observed event. I use a new nation-wide panel dataset of large regional floods and flood insurance policies to show that insurance take-up spikes the year after a flood and then steadily declines to baseline. Residents in nonflooded communities in the same television media market increase take-up at one-third the rate of flooded communities. I find that insurance take-up is most consistent with a Bayesian learning model that allows for forgetting or incomplete information about past floods.