Answer:
Jerry owes a duty of slight care, in regards to the parakeet
Explanation:
In this situation since this is a bailment for the sole benefit of the bailor, Jerry owes a duty of slight care, in regards to the parakeet. This refers to the fact that Jerry has a legal obligation to adhere to the rules set forth by Tom and demonstrate a level of reasonable care when performing these rules/tasks, since not doing so may bring harm to the parakeet or Tom. Which by neglecting to make sure that the cage was closed properly the bird is forever gone and Tom is hurt both financially and emotionally from the parakeets loss.
According to Jewish tradition, the Israelites were in Egypt for 210 years (Rashi commentary, on Exodus ch.12). For the first century, they lived in peace and plenty, as long as Joseph and his brothers were still living. After that, they were enslaved by the Egyptians. The enslavement was gradual, in steps, eventually becoming harsh and crushing (Exodus ch.1). At the end of that time, God sent Moses (Exodus ch.3) to demand that Pharaoh free the Israelites; and He brought plagues upon Egypt (Exodus ch.7-12) when Pharaoh refused.
As a related topic, a brief biography of Moses may be pertinent here:
Moses was born 245 years after the death of Abraham. Pharaoh had decreed that Israelite boys be killed (Exodus ch.1), but the daughter of Pharaoh took pity on the infant Moses (Exodus ch.2) and raised him as her own son. He was forced to flee after killing a cruel Egyptian taskmaster, and went to Midian, where he wedded the daughter of Jethro. He eventually achieved the highest level of prophecy (Deuteronomy ch.34) and was called upon by God (Exodus ch.3).
The importance of Moses cannot be overstated. He brought the Israelites out of Egyptian slavery (Exodus ch.12). He received the Torah from God (Exodus 24:12) and later recorded it in writing (Deuteronomy 31:24). He went up on Mount Sinai for 40 days and nights (Deuteronomy ch.9-10) and brought down the Two Stone Tablets with the Ten Commandments (Exodus 31:18). He brought the Israelites into the covenant with God (Exodus ch.19 and ch.24), and he oversaw the building of the Tabernacle (Exodus ch.35-40). He was the humblest of men and the greatest of prophets (Numbers ch.12).
At the time of World War I, the US Army was small compared with the mobilized armies of the European powers. As late as 1914, the Regular Army had under 100,000 men, while the National Guard (the organized militias of the states) numbered around 115,000. The National Defense Act of 1916 authorized the growth of the Army to 165,000 and the National Guard to 450,000 by 1921, but by 1917 the Army had only expanded to around 121,000, with the National Guard numbering 181,000.
Answer:
ok so there is corona virus going around and another thing
people are protesting black lives matter
A Temporal Investigation of Crash Severity Factors in Worker-Involved Work Zone Crashes: Random Parameters and Machine Learning Approaches:
Reason:
In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack of research on contributing factors by time-of-day. To accomplish this, first a mixed logit model was used to determine statistically significant crash severity contributing factors and their effects. Significant factors in both models included work-zone-specific characteristics and crash-specific characteristics, where environmental characteristics were only significant in the daytime model. In addition, results from parameter transferability test provided evidence that daytime and nighttime crashes need to be modeled separately. Further, to explore the nonlinear relationship between crash severity levels and time-of-day, as well as compare the effects of variables to that of the logit model and assess prediction performance, a Support Vector Machines (SVM)
What is meant by machine learning approach?
Machine Learning is an AI technique that teaches computers to learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
Learn more about random parameter approach:
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